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JGE

Journal of Green Engineering

Scopus Coverage: From 2010 to Feb 2021
ISSN: 1904-4720 (Print)
ISSN: 2245-4586 (Online)
Publication Frequency: 12 issues per year

Volume:10 Issue:3 March 2020

Development of Machine Learning Based Grain Classification and Sorting with Machine Vision Approach for Eco-Friendly Environment
1S.Maheswaran, 2B.Vivek, 3P.Sivaranjani, 4S.Sathesh, 5K.Pon Vignesh
1Associate Professor, Department of ECE, Kongu Engineering College, Erode, India.
2Assistant Professor, Department of ECE, Kongu Engineering College, Erode, India.
3Professor, Department of ECE, Kongu Engineering College, Erode, India.
4Assistant Professor, Department of Automobile,Kongu Engineering College, Erode, India.
5PG Scholar, Embedded Systems, Kongu Engineering College, Erode, India.
Pages: 526–543
Abstract: [+]
Grains are the consumed food in the world. The local shopkeepers divide the grains by its quality. In the first class quality, grains do not contain unwanted things in it. But it is too costly. So, the local shopkeepers buy the grains of second-class quality and remove the unwanted materials with the help of labors. Human may make mistake in sorting and they also feel tired when they do the same work regularly. This project will reduce the human work by checking its quality and sorting automatically with Eco-Friendly Environment. Here, initially it checks the quality of the grains by image processing and type of grains is detected by machine learning algorithm are proposed in this paper. First step is acquisition of grain image, segmentation, extraction of features. Then the features of grains are given to the CNN classifier for classification and identification of grains type. Different threshold air pressure is required for different types of grains to blow way unwanted grains. The result achieved through neural network will determine threshold pressure of air flow for that particular grain type. When grains comes out through Chute at that instant of time unwanted materials like grains with black skin and over roasted grains are identified by doing image processing using Jetson Nano with camera module. It then removes the unwanted materials by using air blow mechanism where air pressure is determined by CNN. The waste particles in the grains like chickpeas, bengal roasted gram, moong dal, kalachana, etc., and also can be identified and segregated.
Keywords: Conventional Neural Network, Machine Learning, Grain sample, Sorting, Quality.
| References: [+]
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[2] Guang-rong Liu,“Rice color inspection based on image processing technique”, International Conference on Advances in Energy Engineering, pp. 134-137, 2010.
[3] S.Maheswaran, M.Ramya, P.Priyadharshini and P.Sivaranjani,“A real time image processing based system to scaring the birds from the agricultural field”, Indian Journal ofScience and Technology, vol.9,no.30, pp.1-5, 2016.
[4] G.Hamid, B.Deefholts, N.Reynolds, D.McCambridge and K.Mason-Palmer, and C.Briggs,“Automation and robotics for bulk sorting in the food industry”, Robotics and Automation in the Food Industry - Woodhead Publishing, pp. 267-287, 2013.
[5] Z.Wu, Y.Zhu, G.Chen, X.Shi and J.Feng,“Research and development of rice color sorter”, International Conference on Measuring Technology and Mechatronics Automation, pp.821-824, 2009.
[6] V.S.Kolkure and B.N.Shaikh,“Identification and quality testing of rice grains using image processing and neural network”, International Journal of Recent Trends in Engineering Research, vol.3,no.1, pp.130-135, 2017.
[7] Y.Zhou, H.Wang, Feng Xu, and Y.Q.Jin,“Polarimetric SAR image classication using deep convolutional neural networks”, IEEE Geoscience and Remote Sensing Letters, vol.13,no.12, pp.1935-1939, 2016.
[8] S.Shelke and A.P.Phatale,“An Automatic Grading System Based On Machine Vision”, International Journal of Innovative Research in Electrical, Electronics,Instrumentation and Control Engineering, vol.1,no.4, pp.154-160, 2013.
[9] T.Henry and F.Jie,“Design and construction of color sensor based optical sorting machine”, 5th International Conference on Instrumentation, Control, and Automation, pp.36-40, 2017.
[10]S.Maheswaran, and R. Asokan,“A machine vision-based real-time sensor system to control weeds agricultural fields”, Sensor Letters, vol.13,no.6, pp.489-495, 2015.
[11]S.Jeong, YM.Lee, and S.Lee,“Development of an automatic sorting system for fresh ginsengs by image processing techniques”, Human-centric Computing and Information Sciences, vol.7,no.1, pp. 41, 2017.
[12]D.Sharma, and S.DSharad,“Grain quality detection by using image processing for public distribution”, International Conference on Intelligent Computing and Control Systems, pp. 1118-1122, 2017.
[13]DW.Hatcher, SJ.Symons and U.Manivannan,“Developments in the use of image analysis for the assessment of oriental noodle appearance and colour”, Journal of Food Engineering, vol.61,no.1, pp .109-117, 2004.
[14]T.Henry, and J.Ferry,“Design and construction of color sensor based optical sorting machine”, 5th International Conference on Instrumentation, Control, and Automation, pp. 36-40, 2017
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Renewable Energy Based Bidirectional Converter for Grid
1C. Bhuvaneswari and 2R. Samuel Rajesh Babu
1Research Scholar, Department of EEE, Sathyabama Institute of Science and Technology, Chennai, India.
2Associate Professor, Department of Electronics and Instrumentation Engineering, Sathyabama Institute of Science and Technology, Chennai. India.
Pages: 544–558
Abstract: [+]
This paper presents a Hybrid Photovoltaic and Wind based energy system for power flow management in grid based applications. The power flow is managed effectively by a DC-DC Converter and a multilevel inverter. A Cuk Converter is used as a DC-DC Converter with reduced number of power conversion stages and the multilevel inverter is used for conversion of dc power to ac power and supply it to the grid. The system is simulated using Matlab Simulink and results tabulated. The simulated results have also been verified experimentally with a Hardware implementation.
Keywords: Bidirectional Converter, DC-DC Converter, Grid, Wind Energy System, Cuk Converter, Photovoltaic Energy System.
| References: [+]
[1] Bharath K R, Harsha Choutapalli, Kanakasabapathy P, “Control of Bidirectional DC-DC Converter in Renewable based DC Microgrid with Improved Voltage Stability”, International Journal Of Renewable Energy Research, Vol.8, No.2,pp. 870-877, 2018
[2] Yizhe Xu, Yen-mo Chen, Alex Q. Huang, “Five-Level Bidirectional Converter for Renewable Power Generation System”, IECON 2014 - 40th Annual Conference of the IEEE Industrial Electronics Society, pp.5514-5519, 2014
[3] Pandla Chinna Dastagiri Goud, Chandra Sekhar Nalamati, Rajesh Gupta, “Grid Connected Renewable Energy Based EV Charger With Bidirectional AC/DC Converter”, 5th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON), India, 2018.
[4] T. Suman, “A New PV/Fuel Cell Based Bidirectional Converter for Microgrid Applications”, International Journal of Emerging Engineering Research and Technology, Vol. 2, No5, pp. 121-129, 2014.
[5] Umaid Ali, Muhammad Aamir , “Fuzzy-PI Control of Bidirectional DC-DC Converter for 250KW Distributed Solar-Solar Off-Grid System”,International Journal of Smart Grid and Clean Energy, Vol No.2 No X, pp.1-5,2013
[6] Sergio Saponara , Roberto Saletti and Lucian Mihet-Popa, “Hybrid Micro-Grids Exploiting Renewables Sources, Battery Energy Storages, and Bi-Directional Converters”, Applied Sciences,9,4973,2019.
[7] K. Gunavardhan, Prabhakar Reddy, P. Sujatha, “Grid Connected Hybrid (PV-Wind-Battery) System with Bidirectional DC-DC Converter”, International Journal of Engineering Development and Research, Vol. 5,No.4, pp.1591-1597,2017.
[8] R.Rajasekaran, P.Usha Rani “Energy Management Control Algorithm Based Bidirectional DC-DC Converter for Small Scale Micro Grid with Hybrid Storage System”, International Journal of Engineering and Advanced Technology , Vol 8 Issue-6S pp. 36-44, 2019
[9] Sonal Gaurava, Chirag Birla, Aman Lamba, S. Umashankar, Swaminathan Ganesan, “Energy Management of PV - Battery based Microgrid System”, SMART GRID Technologies, pp.103-111, 2013
[10] Kaspars Kroics, Oleksandr Husev, Kostiantyn Tytelmaier, Janis Zakis, Oleksandr Veligorskyi, “ An Overview of Bidirectional AC-DC Grid Connected Converter Topologies for Low Voltage Battery Integration”, International Journal of Power Electronics and Drive System, Vol. 9, No. 3, pp.1223-1239, 2018
[11] Zulhani Rasin ,M.F. Rahman, “Control of Bidirectional DC-DC Converter for Battery Storage System in Grid-connected Quasi-Z Source PV Inverter” IEEE Conference on Energy Conversion (CENCON),Malaysia, ,pp.205-210,2015
[12] Antonio Colmenar-Santos , Ana-Rosa Linares-Mena, Jesús Fernández Velázquez , David Borge-Diez, “Energy-efficient three-phase bidirectional converter for grid-connected storage applications”, Energy Conversion and Management,127,pp.599-611,2016
[13] Jiuchun Jiang Yan Bao and Le Yi Wang, “Topology of a Bidirectional Converter for Energy Interaction between Electric Vehicles and the Grid”, Energies Vol 7 No.8,pp.4858-4894, 2014
[14] B. Mangu, S. Akshatha, D. Suryanarayana_, B. G.Fernandes, “Grid-Connected PV-Wind-Battery based Multi-Input Transformer Coupled Bidirectional DC-DC Converter for household Applications”, IEEE Journal of Emerging and Selected Topics in Power Electronics, Vol 4 No.3,pp.1-10,2016
[15] A. Arikesh, Maumita Saha, “Fuzzy based Modular Bidirectional Energy Conversion for Hybrid Vehicle and Renewable Energy Applications”, International Journal of Recent Technology and Engineering, Vol 7 No.5S2,pp. 237-242,2019
[16] N. Rathipriya, N. Rajeswari, “Implementation of Hybrid Bi-Directional Dc/Dc Converter in MICROGRID”, International Journal of Advanced Research in Basic Engineering Sciences and Technology, Vol 3 No.20, pp.19-24, 2016
[17] M. Srikanth , B. Pakkiraiah , Poonam Upadhyay, and S. Tara Kalyani, “Dual-Mode Photovoltaic Bidirectional Inverter Operation for Seamless Power Transfer to DC and AC Loads with the Grid Interface”, International Journal of Photoenergy, Vol 2019,pp.1-14,2019
[18] Jianwu Zeng, Wei Qiao , and Liyan Qu, “An Isolated Multiport Bidirectional DC-DC Converter for PV-Battery-DC Microgrid Applications”, Energy Conversion Congress and Exposition,pp.4978-4984, 2014
[19] Yamuna Parkavi.V , Vijayalakshmi.R , Alin Maria George, “Fuzzy Control Based Hybrid Ac/Dc Microgrid Using Bidirectional Converter”, International Journal For Technological Research In Engineering, Vol. 2 No.8,pp.1479-1484,2015
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Fuzzy Synergetic Controller Based MPPT for Standalone Photovoltaic System
1Polamraju.V.S.Sobhan, 2M.Subba Rao, 3N.Bharath Kumar, 4A. Sriharibabu
1Associate Professor, Department of Electrical and Electronics Engineering,Vignan’s Foundation for Science, Technology and Research, Andhra Pradesh, India.
2Associate Professor, Department of Electrical and Electronics Engineering, Vignan’s Foundation for Science, Technology and Research, Andhra Pradesh, India.
3Assistant Professor, Department of Electrical and Electronics Engineering, Vignan’s Foundation for Science, Technology and Research, Andhra Pradesh, India.
4Assistant Professor, Department of Electrical and Electronics Engineering, Vignan’s Foundation for Science, Technology and Research, Andhra Pradesh, India.
Pages: 559-574
Abstract: [+]
A hybrid control technique combining fuzzy logic control and synergetic control is proposed to extract maximum power of Standalone PhotoVoltaic System (SPV). The combined control law ensures the quick convergence of the SPV operating point towards the maximum power point without any chattering. The addition of fuzzy control makes the system robust under the presence of modeling uncertainties and external disturbances such as variable irradiance and temperature. The simulations results of the proposed hybrid control scheme are presented and performance comparison to individual control schemes i.esynergetic control and fuzzy control is studied under various atmospheric conditions. The MATLAB based simulation results show the effectiveness of presented scheme such as higher efficiency and quick convergence to MPP with reduced oscillations.
Keywords: Fuzzy control, Synergetic control, MPPT, Standalone photovoltaic systems,Atmospheric conditions
| References: [+]
[1] T. Esram, P. L. Chapman, “Comparison of photovoltaic array maximum power point tracking techniques,” IEEE Transactions on Energy Conversion, Vol. 22, no. 2, pp. 439–49, 2007.
[2] L.V.S Kumar, G.V.N. Kumar,"Power conversion in renewable energy systems: A review advances in wind and PV system", International Journal of Energy Research , vol. 41, no. 2, pp.182- 197, 2016.
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[4] Polamraju.V.S.Sobhan, M.Subba Rao, N. Bharath Kumar, A.Sriharibabu, “Design of Fuzzy Logic Based Photovoltaic Fed Battery Charging System”, Journal of Green Engineering, Vol. 9, no.2, pp. 270-281, 2019.
[5] Abdelsalam, A.K , Massoud, A.M, Ahmed, S, Enjeti. P, High- Performance Adaptive Perturb and Observe MPPT Technique for Photovoltaic-Based Microgrids. IEEE Transactions on Power Electronics, Vol.26, no.2, pp.1010–1021, 2011.
[6] Zaki, A.M., Amer, S.I., Mostafa, M., “Maximum power point tracking for PV system using advanced neural networks technique,” Int. Jol of Emerging Tech. and Advanced Engg , Vol. 2, no.12, 58–63, 2012.
[7] S. C. Tan, Y. M. Lai, C. K. Tse, “Sliding mode control of switching power converters: Techniques and implementation”, CRC Press, 2017.
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[10] Rebai, A., Guesmi, K., Hemici, B., “Adaptive fuzzy synergetic control for nonlinear hysteretic systems”, Nonlinear Dynamics, Vol. 86, No. 3, pp.1445–1454, 2016.
[11] M. A. Hannan, Z. A. Ghani, M. M. Hoque, P. J. Ker, A. Hussain A. Mohamed, “Fuzzy Logic Inverter Controller in Photovoltaic Applications: Issues and Recommendations”, IEEE Access, vol. 7, pp. 24934-24955, 2019.
[12] W.Ali, H.Farooq, A.U.Rehman, M. Jamil, A.Noman,“Design Considerations of Stand-Alone Solar Photovoltaic Systems”,International Conference on Computing, Electronic and Electrical Engineering, ICE Cube 2018, pp. 1–6, February, 2019.
[13] Khatib, T. E., Wilfried Mohamed, Azah, “Simplified I-V characteristic tester for photovoltaic modules using a DC-DC boost converter”, Sustainability, Vol. 9, no.4, pp. 66-77, 2017.
[14] Z. R. Labidi, H. Schulte, A. Mami, “A model-based approach of dc-dc converters dedicated to controller design applications for photovoltaic generators”, Engineering, Technology & Applied Science Research, Vol. 9, No. 4, pp. 4371-4376, 2019.
[15] K. Behih, Z. Bouchama, K. Saoudi, “Finite-time fuzzy synergetic power system regulator”, Soft Computing and Electrical Engineering, Vol. 4, No. 1, pp. 69-78, 2019.
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Docker Container in Green Cloud Platform for Workload Prediction
1P. Akilandeswari , 2Medha ManojPanikkasseri, 3H. Srimathi
1Assistant professor,Department of Computer Science and Engineering, SRM IST, Chennai, TamilNadu, India.
2Student,Department of Computer Science and Engineering, SRM IST, Chennai, TamilNadu, India.
3Professor,Department of Computer Science and Engineering, SRMIST, Chennai, TamilNadu, India.
Pages:575-592
Abstract: [+]
As computing technology grows and deployed application varies over time the services offered by the cloud providers become tough competition to give better quality of service. Adoption of instances based on resource scaling and variation in workload handling becomes quite challenging task. The literature survey reveals different workload run on different cloud being managed by hypervisor called virtual machine monitor. These are system containers called virtual machines, to run multiple processors in parallel. To handle big data and AI workloads these virtual machines are quite challenging in scalability to provide better quality of services. In this paper we addressed the problem using application containers called Docker containers. Prediction of workloads using ARIMA and exponential smoothing forecast methods are implemented and better memory and CPU usage is achieved when docker runs image instances and compared with benchmark workloads. Simulation result shows that using docker container provides better quality of service than running the same workload with virtual machine. In the future streaming data can be analysed with cloud container by focuses automatically deploying workloads inside application containers.
Keywords: Cloud platform, Docker container, Workload prediction, ARIMA, Exponential smoothing forecast.
| References: [+]
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[5] Abdullah Mohammed Al-Faifi , Biao Song , Mohammad Mehedi Hassan , Atif Alamri , Abdu Gumaei “Performance prediction model for cloud service selection from smart data “,Future Generation Computer Systems,vol.85,pp.97-106, 2018.
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[8] F. J. Baldan, S. Ramirez-Gallego, C. Bergmeir, F. Herrera and J. M. BenitezSanchez, "A Forecasting Methodology for Workload Forecasting in Cloud Systems”, IEEE Transactions on Cloud Computing , Vol. 6,no.4,pp.929-941, 2018.
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Analysis of Ecological Parameter for Predicting the Crop Yield using Multivariate Regression
1V.Sellam, 2N.Kannan, 3E.Poovammal
1Assistant professor,Department of Computer Science And Engineering,SRMIST-Ramapuram,TamilNadu,India.
2Professor and Head, Department of Computer Science And Engineering, SRMIST-Ramapuram,TamilNadu,India.
3Professor, Department of Computer Science And Engineering, SRMIST- Kattankulathur,TamilNadu,India.
Pages: 593-614
Abstract: [+]
Forecasting in agriculture is otherwise known as foreseeing the production of a chosen crop. Foreseeing the production is not easy because the constraints and parameters involved are uncontrollable beyond certain point. The agricultural output is highly unpredictable due to various reasons in recent times. Crop yield forecasts are important for advance planning, formulation and implementation of policies related to the crop procurement, distribution, price structure and import export decisions etc. The parameters considered are Minimum Support Price (MSP), Consumer Price Index (CPI), Food Price Index (FPI), Annual Rainfall (AR) and Area under Cultivation (AUC).The Crops considered for analysis is Rice, Maize and Gram. This foreseeing not only help the farmers but also helps the policy makers and agencies to plan in regard with crop procurement, import and export and decisions on agriculture based industries. The influence of economic factors (MSP, CPI and FPI) and ecological factors (AR, AUC) on CY is analyzed using Multivariate Analytical techniques (MVA).In this work an attempt is made to predict the Crop Yield using Multivariate Regression.
Keywords: Crop Yield Analysis, Ecological Parameter, Socio-Economic impacts, Price Indices, Prediction
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Stochastic Wind-Solar-Small Hydro Power Plant Integrated Multi-Objective Optimal Power Flow Using Multi Verse Optimizer
1Sundaram B. Pandya and 2Hitesh R. Jariwala
1Research Scholar,Department of Electrical Engineering, S.V. National Institute of Technology, Surat, Gujarat, India.
2Associate Professor,Department of Electrical Engineering, S.V. National Institute of Technology, Surat, Gujarat, India.
Pages: 615-645
Abstract: [+]
The new electrical power system involves the renewable energy resources in addition with conventional generating units. This article shows the way for the answer of solo and multi-objective optimal power flow, incorporating with wind generating units, solar photovoltaic system and hybrid solar with small hydro power that is run-of-river with customary coal-based generating stations. The irregularity of renewable source’s output intensifies the complications of the optimal power flow (OPF) issue. In projected work Lognormal, Weibull and Gumble probability density functions are also applied for forecasting the power outputs of those renewables, respectively. The objective function includes penalty charges for underestimation and standby charge for overestimation of irregular non-conventional generating units. A non-dominance version of multi-objective, multi verse optimizer technique is projected for the optimization matter. The fuzzy decision making methodology is utilized for mining the best compromise solution. The outcomes are confirmed through adapted IEEE-30 bus test system and compared with three newly developed algorithms, which is assimilated with wind-solar-small hydro generating plants.
Keywords: Wind power units,Meta-heuristics, Solar PV energy, Small hydro power, Probability Density Function.
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[10] Henerica Tazvinga, Bing Zhu, Xiaohua Xia. “Optimal power flow management for distributed energy resources with batteries.” Energy Conversion and Management, Vol.102, pp. 104–10., 2015.
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[12] S. Surender Reddy, P.R. Bijwe, Abhijit Abhyankar. “Real-time economic dispatch considering renewable power generation variability and uncertainty over scheduling period.”, IEEE Systems Journal, Vol.9, no.4,pp.1440-1451, 2015.
[13] S. Surender Reddy, “Optimal scheduling of thermal-wind-solar power system with storage”, Renewable Energy, Vol. 101, pp.1357-1368, 2017.
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[15] Sundaram B. Pandya, Hitesh R. Jariwala, “Renewable Energy Resources Integrated Multi-Objective Optimal Power Flow using Non-Dominated Sort Grey Wolf Optimizer”, Journal of Green Engineering, Vol.10, no. 1, pp. 180-205, 2020.
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Control Strategies on Speed of DC Motor and Power Sensor Based Speed Regulator Using SCILAB
1D.Danalakshmi, 2S.Prathiba, 3Agnes Idhayaselvi
1Associate Professor, Department of Electrical and Electronics Engineering, GMR Institute of Technology,Rajam, India.
2Professor, Department of Electrical and Electronics Engineering, Chennai Loyola-ICAM College of Engineering & Technology (LICET), Loyola Campus, Nungambakkam, Chennai,India.
3Associate Professor, Department of Electrical and Electronics Engineering, Kalasalingam Academy of Research & Education, Krishnankoil, Tamil Nadu, India.
Pages: 646–662
Abstract: [+]
DC Motors have high torque with low volume and hence used in most of the industrial applications. The speed control of a DC motor can be done both through armature controlled and field control techniques. The armature speed control of DC motor is provided by two inputs. They are armature voltage and load torque. However, the resultant output is a mechanical rotation of the motor. The motor runs with angular speed Ω(s). Speed of the DC motor can be controlled by using various controllers. In many industrial applications, PI controller is generally used but for sophisticated application, PI controller is not efficient and hence PIR controller is proposed to achieve greater accuracy in controlling the speed of the motor. Here in this paper, the different controllers like PI, PID and PIR are used for controlling the DC motor armature speed. A novel PIR controller is used and the results are compared with other controllers. The results are developed with the help of SCILAB. Also, the power sensor based speed regulator for motor is developed using SCILAB.
Keywords: Controller, SCILAB, PID controller, PIR controller, Sensor
| References: [+]
[1] M. Awad, S. Peter, D. Umut, H. Sven, "Towards a Distributed Simulation Toolbox for Scilab", In: Proc. of ASIM-Treffen STS/GMMS (51), ARGESIM Pub.Workshop der ASIM/GI Fachgruppen STS und GMMS, Lippstadt, pp. 148-154, 2016.
[2] V. S. Patil, S. Angadi, A. B. Raju, "Four quadrant close loop speed control of DC motor”, 2016 International Conference on Circuits, Controls, Communications and Computing (I4C), Bangalore, pp. 1-6, 2016.
[3] P. S. Alagur, J. A. Shaikh, “Speed Control of Induction Motor by V / F Method", International Journal of Engineering Research and Application, vol. 6, no. 9, (Part -3), pp. 76 -79, September 2016.
[4] M. Hanan, J. Hussein, I. Inaam, “Speed Control of Induction Motor using PI and V/F Scalar Vector Controllers”, International Journal of Computer Applications, vol. 151, pp. 36-43, 2016.
[5] S. Ramírez, R. Mondié, R. Garrido Sipahi, "Design of Proportional-Integral-Retarded (PIR) Controllers for Second-Order LTI Systems", IEEE Transactions on Automatic Control, vol. 61, no. 6, pp. 1688-1693, June 2016.
[6] L. Chang, W. Wu, M. Mao, "LVRT control strategy of CSC-PMSG-WGS based on PIR controller", IEEE 7th International Symposium on Power Electronics for Distributed Generation Systems (PEDG), Vancouver, BC, pp. 1-6, 2016.
[7] M. Sathishkuma, S. Rajini, “Smart Surveillance System Using PIR Sensor Network and GSM”, International Journal of Advanced Research in Computer Engineering & Technology (IJARCET), vol. 4, no. 1, January 2015.
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[11] S. Budijono, J. Andrianto, M. Axis Novradin Noor, “Design and implementation of modular home security system with short messaging system”, In. EPJ Web of Conferences, vol. 68, pp. 00025, 2014.
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[14] K. Han, J. Zhai, Y. Wang and X. Liu, "Dead time compensation with variable resonant controller for induction motor drive system”, 13th IEEE International Conference on Control & Automation (ICCA), Ohrid, pp. 1090-1094, 2017.
[15] W. Kong, M. Kang, D. Li, R. Qu, D. Jiang, C. Gan, "Investigation of Spatial Harmonic Magnetic Field Coupling Effect on Torque Ripple for Multiphase Induction Motor Under Open Fault Condition", IEEE Transactions on Power Electronics, vol. 33, no. 7, pp. 6060-6071, July 2018.
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Simple Additive Weight-Based Enhanced Hybrid Fuzzy Analytic Hierarchy Process for Detecting Cloud Clients Authority Through Computing Energy
1,*S.Mercy, 2R.Nagaraja, 3M.Jaiganesh
1Research Scholar,Department of Information Science and Engineering, Bangalore Institute of Technology, Bangalore, Karnataka, India.
2Professor, Department of Information Science and Engineering,Bangalore Institute of Technology, Bangalore, Karnataka, India.
3Associate Professor,Department of Computer Science and Engineering,CVR College of Engineering College, Hyderabad, Telangana, India.
Pages: 663-683
Abstract: [+]
The cloud clientsauthority is considered as an indispensable necessity since trusted attacker in a cloud computing environment possesses maximum probability of exploiting the resource energies. Hence, the estimation of cloud consumer legitimacy is essential for preventing the hurdle that emerges during the process of delivering reliable services to genuine cloud consumers. In this paper, a Simple Additive Weight-based Enhanced Hybrid Fuzzy Analytic Hierarchy Process (SAW-EHFAHP) is proposed for detecting Clientsauthority through computing energy in Cloud. This proposed SAW-EHFAHP continuously supervises the authority of cloud clients and lines them using diverse scales by creating a judgment matrix support on predictable authority index of cloud clients. The predominance of the proposed SAW-EHFAHP is analyze and compared with the baseline FAHP, ART and AHP schemes using Resource level computing energies: CPU utilization, bandwidth consumption, RAM usage and Disk memory and examined Accuracy, Specificity, Sensitivityusage under different potential loads. The simulation results also confirm that the proposed SAW-EHFAHP is proved to be improved in terms of accuracy and specificity by 23% and 21% compared to the baseline FAHP, ART and AHP schemes Further, the
statistical analysis of the proposed SAW-EHFAHP investigated using ANOVA is confirmed to be superior contrasted with the current methodologies of the literature.
Keywords: Cloud computing, Cloud Client authority, Fuzzy analytical hierarchy process, Simple Additive method, Hybrid technique.
| References: [+]
[1] P.J.M. van Laarhoven, W.Pedrycz, “A fuzzy extension of Saaty’s priority theory”, Journal Fuzzy Sets and Systems. vol. 11, no. 1-3, pp.199-227, 1983.
[2] Qian Zhou, Jiong Yu, and Feiran Yu, “A Trust Based Defensive System Model for Cloud Computing”, Lecture Notes in Computer Science. . vol. 6985, pp. 146-159, 2011.
[3] Xiaonian Wu, Runlian Zhang, Bing Zeng, Shengyuan Zhou, “A trust evaluation model for cloud computing”, Proc. Computer Science, vol.17, pp.1170-1177, 2013.
[4] P. S. Pawar, M. Rajarajan, S. Nair, T. Dimitriakos, A. Zisman, “Trust Model for Optimized Cloud Services”, Proc. IFIP, vol. 374, pp 97-112, 2012.
[5] Fahad F. Alruwaili, T. Aaron Gulliver, “Trusted CCIPS: A Trust Security Model for Cloud Services Based on a Collaborative Intrusion Detection and Prevention Framework”, International Journal of Latest trends in computing, vol. 5 no.1, pp. 162-171, 2014.
[6] WenAn Tan, Yong Sun, Ling Xia Li, Guang Zhen Lu, Tong Wang, “A Trust Service Oriented Scheduling Model for Workflow Applications in Cloud Computing”, IEEE Systems Journal,vol.8 no.3, pp. 868-878, 2014.
[7] Hyukho Kim, Hana Lee, Woongsup Kim, Yangwoo Kim, “A Trust Evaluation Model for QoS Guarantee in Cloud Systems”, International Journal of Grid and Distributed Computing, vol.3 no.1, pp 1-10, 2010.
[8] Shouxin Wang, Li Zhang, Na Ma, Shuai Wang, “An Evaluation Approach of Subjective Trust Based on Cloud Model”, Journal of Software Engineering and Applications,vol.1 no.1 pp. 44-52, 2008.
[9] Ries S, Habib SM, Muhlhauser M, Varadharajan V. “Certain logic: A logic for modeling trust and uncertainty”, Lecture Notes in Computer Science, vol. 6740, no.1, pp.254-261, 2011.
[10] R. Butkiene, G. Vilutis, I. Lagzdinyte-Budnike, D. Sandonavicius, K. Paulikas, “The QoGS Method Application for Selection of Computing Resources in Intercloud”, Elektronika Ir Elektrotechnika, vol.19, no. 7, pp 98-103, 2013.
[11] G. Zhang, M. De Leenheer, A. Morea, B. Mukherjee, “A survey on OFDM-based elastic core optical networking”, IEEE Commun. Surv. Tutorials,vol.15 no.1 pp. 65-87, 2013.
[12] J. Sole-Pareta, S. Subramaniam, D. Careglio, S. Spadaro, “Cross-layer approaches for planning and operating impairment-aware optical networks”, Proc. IEEE, vol. 100, no.5, pp.1118-1129, 2012.
[13] Lombardi, F, Pietro, RD, “Secure virtualization for Cloud computing”, Journal of Network and Computer Applications, vol. 34, no. 4, pp. 1113 – 1122, 2011.
[14] Xiaonian Wu, Runlian Zhang, Bing Zeng, Shengyuan Zhou, “A trust evaluation model for cloud computing in Information Technology and Quantitative Management, Procedia computer science, vol.17, no. 1, pp. 170-1177, 2013.
[15] G. Praveen Babu, B. SushmaRao, “Secure Data Access control in Cloud Environment” International Journal of Computer Science and Information Technologies, vol.5, no. 2, pp. 1734-1737, 2013.
[16] Wang, L, Zhan, J, Shi, W, Liang, Y, Yuan, L. “In Cloud, do MTC or HTC Service Providers Benefit from the Economies of Scale?”, Proc MTAGS, pp. 7-11, 2009.
[17] Sathya Vishnu and S.Selvakumar.“Verification of Trust Worthiness of the User Data in Green Cloud Environment using Data Auditing Method”.Journal of Green Engineering, vol.10, no. 1, pp. 118-130, 2020.
[18] Talal H Noon, Quan Z Sheng, SheraliZeadally, JianYu,“Trust management of services in cloud environments: Obstacles and solutions”, ACM Computing Surveys (CSUR), vol. 46, Issue 1, 2013.
[19] Wenjuan Fan, Harry Perros, “A novel trust management framework for multi-cloud environments based on trust service providers” Knowledge-Based Systems, vol.70, no. 11, pp. 392-406, 2014.
[20] WenAn Tan, Yong Sun, Ling Xia Li, Guang Zhen Lu, Tong Wang, “A Trust Service Oriented Scheduling Model for Workflow Applications in Cloud Computing”, IEEE Systems Journal,vol.8 no.3, pp. 868-878, 2014.
[21] Jaiganesh M, Sivakami R, Vincent Antony Kumar A, “Secure isolation of cloud consumers legitimacy using fuzzy analytical hierarchy process (AHP)”, The Journal of Analysis, vol.27, no. 2, pp. 311-326, 2019.
[22] RizwanaShaikh, M. Sasikumar, “Trust Model for Measuring Security Strength of Cloud Computing” Procedia computer science, vol.45, no. 3, pp. 380-389, 2015.
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Diagnosis of Parkinson Disease Using Sensor Data and Machine Learning Approach in Mobile Cloud
1N Janani and 2S Kanagaraj
1Student,Department of Information Technology, Kumaraguru College of Technology, Coimbatore, TamilNadu, India.
2Assistant Professor ,Department of Information Technology, Kumaraguru College of Technology, Coimbatore, TamilNadu, India.
Pages: 684-696
Abstract: [+]
In reality, the utilization of sensors is developing each day to improve the personal satisfaction by giving medicinal services data on clinical diagnostics. There are various sensors like detecting advance sensors, “electronic gadgets” physical sensors have been effectively shown in the field of biomedical applications because of sensor great working ability. Cloud computing technology is used to accommodate vast amounts of data. Such medical applications also use the cloud computing platform to store and access the data protected. Parkinson’s disease (PD) could also be a chronic long condition of the central systemanervosum that primarily affects the motor system of the patient. The side effects of Parkinsons’ sickness incorporate muscle rigidity, tremors and modifications in speech. The objective of the framework is to analyse the parkinson’s disease in voice detection. As the indications are worsen, the patients motor and non-motor system will get failure. The framework is used for diagnosing the parkinson’s disease. The proposed system concentrates on improving the Parkinson’s disease diagnosis using voice signals from patient detected from different sensors and uploaded to the cloud for processing . This frame work concentrates on improving disease diagnosis with experimental results using Support Vector Machine, Logistic Regression, Random Forest and eXtreme Gradient Boosting.Machine learning algorithm mainly concentrates on improving the prediction of parkinson’s disease diagnosis.
Keywords: Cloud computing, Parkinson’s Disease, Support Vector Machine, Random Forest, XG Boost, Logistic Regression
| References: [+]
[1] Abishek M.S, Chethan C.R,et.al, “Diagnosis of Parkinson’s disorder through speech Data using Machine Learning Algorithm”,IJITEE,Vol.7, No.3,PP.69-72, 2020.
[2] Chaithra B.R1, Gowthami A.L1, Harshitha U1, Keerthana N1, Asha V.G, “Early Stage Prediction of Parkinson’s Disease using Neural Network”, IRJET,Vol.6,No.5, 2019.
[3] Akshay.S, Kiran Vincent, “Identification of Parkinson Disease Patients Classification using Feed Forward Technique Based On Speech Signals”,IJEAT,Vol.8,No.5,PP.1769-1778, 2019.
[4] Satyabrata Aich, Hee-Cheol Kim, Kim younga, Kueh Lee Hui, Ahmed Abdulhakim Al-Absi and Mangal Sain , “A Supervised Machine Learning Approach using Different Feature Selection Techniques on Voice Datasets for Prediction of Parkinson’s Disease”, ICACT Transactions on Advanced Communications Technology ,Vol.7,No.3,PP.1116-1121, 2018.
[5] K.A. Al Mamun, M. Alhussein, K. Sailunaz,et.al, “Cloud based framework for Parkinson’s disease diagnosis and monitoring system for remote healthcare applications”,Future Generation Computer Systems,Vol.66,PP.36-37, 2017
[6] G. Muhammad,et.al, “Smart health solution integrating IoT and cloud: a case study of voice pathology monitoring,” IEEE Communications Magazine,Vol.55,No.1,PP.69-73, 2017
[7] Musaed Alhussein, “Monitoring Parkinson’s disease in smart cities”,IEEE acess,Vol.5, 2017.
[8] Satyabrata Aich,et al. “A mixed classification approach for the prediction of Parkinsons disease using Non linear feature selection technique based on voice recording”, International Conference on Inventive Computing and Informatics (ICICI), 2017.
[9] Kamal Nayan Reddy Challa et al., “An Improved Approach for Prediction of Parkinson’s Disease using Machine Learning Techniques”, International Conference on Signal Processing, Communication, Power and Embedded System, 2016.
[10] R. prashanth et al, “High-Accuracy Detection of Early Parkinson's Disease through Multimodal Features and Machine Learning”, international journal of medical infomatics, pp.13-21, 2016.
[11] Mohammad Shahbakhi, Danial Taheri Far, et al, “Speech Analysis for Diagnosis of Parkinson’s Disease Using Genetic Algorithm and Support Vector Machine”,JBiSE,Vol.7,No.4, 2014 .
[12] R.C Helmich, et.al, “Cerebral causes and consequences of Parkinsonian Resting Tremor”, Brain,vol.135,No.11,PP.3206-3226, 2012.
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Improving QoS of the Cloud Load Balancer Using Bio-Inspired Optimization Method
1P L Abinaya and 2A Suresh
1Student, Department of Information Technology, Kumaraguru College of Technology, Coimbatore, TamilNadu, India.
2Assistant Professor,Department of Information Technology, Kumaraguru College of Technology, Coimbatore, TamilNadu, India.
Pages: 697-712
Abstract: [+]
Cloud computing has proven to be the emerging model of computing. Nowadays ,the number of clients moving into the cloud are increasing day by day. The cloud’s efficiency relies upon the manner in which it handles the load. Cloud computing faces many problems, where the use of bio-inspired algorithms can tackle specific issues such as resource allocation, load balancing, and performance enhancement. Bio-inspired algorithms intend to tackle various types of issues by giving effective solutions. Load balancing is animportant issue in the cloud computing network that ensures whether all processors or machines performs the same amount of work in equivalent amount of time. Throughout cloud computing, different models were developed with the goal of making cloud services efficient and beneficial to end-customers. In the proposed study, different types of bio -inspired algorithms are analyzed to improve the cloud scheduler’s QoS and make the network load equally divided in orderto give quicker availability to all clients that require the service. Bio-inspired algorithms like ant Colony Optimization and honey bee foraging load balancing algorithms are implemented using cloud analyst tool. The response time and processing time of the data centers is obtained.
Keywords: Cloud computing, QoS, Load Balancer, Honeybee foraging, Bio-inspired.
| References: [+]
[1] Amrita Jyoti, Manish Shrimali, et.al, “Cloud computing using load balancing and service broker policy for IT service: a taxonomy and survey”, in Journal of Ambient Intelligence and Humanized Computing, 2020.
[2] Sambit Kumar Mishra, Bibhudatta Sahoo, Priti Paramita Parida, “Load Balancing in Cloud Computing: A big Picture”, Journal of King Saud University - Computer and Information Sciences, Vol.32, No.2, pp. 149-158, 2020.
[3] SomulaRamasubbareddy, T. AdityaSaiSrinivas, K. Govinda, S.S. Manivannan& E. Swetha, “Analysis of Load Balancing Algorithms using Cloud Analyst”, IJRTE, Vol.7, No.6S2, pp. 684-687, 2019.
[4] Bakul Panchal, Smaranika Parida, “Review Paper on Throttled Load Balancing Algorithm in Cloud Computing Environment”, IJSRSET, Vol.4, No.2, pp. 201-204, January-February 2018.
[5] Violetta N, Volkova1, Liudmila V. Chernenkaya, et.al, “Load Balancing in Cloud Computing”, Conference of Russian Young Researchers in Electrical and Electronic Engineering, IEEE, pp. 387-390, 2018.
[6] Ahmed M. Manasrah, Tariq Smadi, Ammar ALmomani, “A Variable Service Broker Routing Policy for data center selection in cloud analyst”, Journal of King Saud University - Computer and Information Sciences, Vol.29, No.3, pp. 365-377, 2017.
[7] Aayushi Sharma, Anshiya Tabassum, et.al, “A comparative study of load balancing algorithms in cloud computing”, International Journal of Innovative Research in Computer and Communication Engineering, Vol.5, No.4, pp. 8322-8331, 2017.
[8] Acharya Mitali Nilesh, et.al, “Load Balancing in Cloud Computing using Ant Colony Optimization”, International Journal of Computer Engineering & Technology, Vol.8, No.6, pp. 54-59, November-December 2017.
[9] Hetal V. Patel, Ritesh Patel, “Cloud Analyst-An Insight of Service Broker Policy”, International Journal of Advanced Research in Computer and Communication Engineering, Vol.4, No.1, pp. 122-127, January 2015.
[10] Reena Panwar, Bhawna Mallick, “A Comparative Study of Load Balancing Algorithms in Cloud Computing”, International Journal of Computer Applications, Vol.117, No.24, pp. 33-37, 2015.
[11] Ritu Kapur, “Review of Nature Inspired Algorithms in Cloud Computing”, International Conference on Computing, Communication and Automation, IEEE, pp. 589-594, July 2015.
[12] Rakesh Kumar Mishra,et.al, “Service broker algorithm for cloud-analyst” , International journal of computer science and information technologies, Vol.5, No.3, pp. 3957-3962, 2014.
[13] Ekta Gupta,et.al, “A Technique Based on Ant Colony Optimization for Load Balancing in Cloud Data Center”, International Conference on Information Technology, IEEE, pp.12-17, 2014.
[14] Jayant Adhikari, Sulbha Patil, “Load Balancing the Essential Factor in Cloud Computing”, International Journal of Engineering Research & Technology, Vol. 1, No. 10, pp.2-5, 2012.
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Statistical Analysis of Socio-Economic and Environmental factors in India using Green Cloud
1S. S. Saranya, 2Sharmin Kantharia, 3Atharva Hajare
1Assistant Professor,Department of Computer Science and Engineering, SRM Institute of Science and Technology, Kancheepuram, Tamil Nadu, India.
2Student,Department of Computer Science and Engineering, SRM Institute of Science and Technology,Kancheepuram, Tamil Nadu, India.
3Student,Department of Computer Science and Engineering,SRM Institute of Science and Technology, Kancheepuram, Tamil Nadu, India.
Pages: 713-733
Abstract: [+]
Census is a process carried out by countries all over the world, to collect information related to housing, population, healthcare, education, etc, after fixed intervals of time. Census data is used to find out how demographics have changed over a period of time. In developing countries such as India, census data is widely utilized for policy evaluation and formation. In India, a complete census has been carried out every ten years, since the year 1881. The most recent census was conducted in 2011. It collected multiple features such as age, sex ratio, disability status, highest educational level attained, religion, housing facilities, and many more. With the advancement of Big Data in everyday life, we can now work on such large-scale data and apply the concepts of Data Mining algorithms to get a better understanding of the demographics of the country, thereby allowing us to gain better insights for the development of the country. This work is implemented in Green Cloud.
Keywords: Socio-Economic, Census Data Mining, Statistical Analysis, Exploratory Data Analysis, Visualization, Descriptive Statistics
| References: [+]
[1] Sheng Bin , Gengxin Sun, “The Preprocessing in Census Data with Concept Hierarchy”, 2nd International Conference on Computer Engineering and Technology,2010.
[2] Manan Chawda, Rutuja Rane, Srikanth Giri, “Demographic Progress Analysis of Census Data Using Data Mining”, Proceedings of the 2nd International Conference on Inventive Communication and Computa- tional Technologies (ICICCT),2018.
[3] Bin Sheng , Sun Gengxin, “Data Mining in Census Data with CART’, 3rd International Conference on Advanced Computer Theory and Engineering (ICACTE),2010.
[4] Neil Hernandez-Gress , Diana Canales, “Socio-Demographic Factors andDataScienceMethodologiesinType2DiabetesMellitusAnalysis”, International Conference on Computational Science and Computational Intelligence (CSCI),2016.
[5] Esmeralda Florez Ramos, “Open Data Development of Coun- tries:Global Status and Trends”, ITU Kaleidoscope: Challenges for a Data Driven Society (ITU K),2017.
[6] Dhwani Sondhi, “Application of Data Mining in Census Data Analysis using Weka’, International Journal of Engineering Trends and Technology (IJETT), vol. 52, no. 3, 2017.
[7] Ivars Gutmanis, “Environmental Implications of Economic Growth in the United States, 1970 to 2000: An Input-Output Analysis”, Proceedings of the IEEE Conference on Decision and Control and 11th Symposium on Adaptive Processes ,1973.
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[9] Chin-JuiChang,Shiahn-WernShyue, “Astudyontheapplicationof data mining to disadvantaged social classes in Taiwans population census”, Expert Systems with Applications,vol. 36,no.1,pp.510-518,2009.
[10] OgochukwuC.Okeke,BonifaceC.Ekechukwu, “UsingData-Mining Technique for Census Analysis to Give GeoSpatial Distribution of Nigeria”,IOSRJournalofComputerEngineering,vol.14,no.2,pp1-5,2013.
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Reliable Wormhole Detection System Based Secure Routing and Authentication for Environmental Monitoring
1G.Mani, 2V.Nivedhitha, 3N.S.Pradeep, 4T.Jayasankar, 5K.Vinoth Kumar
1Assistant Professor (Sr.Gr), Department of Computer Science and Engineering, University College of Engineering, Arni, Tamilnadu, India.
2Assistant Professor, Department of Computer Science and Engineering, SSM Institute of Engineering and Technology, Dindigul, Tamilnadu, India.
3 Assistant Professor (Sr.Gr), Department of Electronics and Communication Engineering, University College of Engineering, BIT Campus, Anna University, Tiruchirappalli, Tamilnadu, India.
4Assistant Professor (Sr.Gr), Department of Electronics and Communication Engineering, University College of Engineering, BIT Campus, Anna University, Tiruchirappalli, Tamilnadu, India.
5Associate Professor, Department of ECE, SSM Institute of Engineering and Technology, Dindigul, Tamilnadu, India.
Pages: 734–749
Abstract: [+]
Ad hoc sensor network is a new kind of wireless networks where the sensor node or mobile sensor node can be communicated randomly. In the absence of access point, attackers are entered easily without the knowledge of source or neighbour node. Worm hole attack in the network records the packet in one route and drops it in another route which may cause congestion in the network. In this research work, Reliable Wormhole Detection System (RWDS) is proposed to provide secure routing and authentication for environmental monitoring. The system consists of three phases. In first phase, reliable routes are discovered from source to sink node. In second phase, extended coverage approach is introduced to estimate the energy during route maintenance phase. In third phase, worm hole detection algorithm is proposed to detect the attackers in the network and balanced the energy in the network.
Keywords: Wormhole Attack, Ad hoc Sensor Networks, Extended Coverage Approach, Energy, Detection and Isolation of Attacks
| References: [+]
[1] K.VinothKumar, T.Jayasankar, M.Prabhakaran and V.Srinivasan, “Fuzzy Logic based Efficient Multipath Routing for Mobile Adhoc Networks”, Appl. Math. Inf. Sci.,vol.11, no.2, pp.449–455, 2017.
[2] K.Vinoth Kumar, V.Eswaramoorthy, S.Nagakumararaj and J.Wilson, “Fuzzy Clustering Enchanced Multipath Routing to Enhance the Network Lifetime in Wireless Sensor Networks”, International Journal.of Scientific & Technology Research, vol.8, no.11, pp.3415-3420, 2019.
[3] Ramireddy Kondaiah and Bachala Sathyanarayana, “Trust Factor And Fuzzy-Firefly Integrated Particle Swarm Optimization Based Intrusion Detection And Prevention System For Secure Routing of Manet”, International Journal of Advanced Computer Science and Applications, vol. 9, no. 3, pp.13-33,2018.
[4] S.Pramela Devi, V.Eswaramoorthy, K.Vinoth Kumar and T. Jayasankar, “Likelihood based Node Fitness Evaluation Method for Data Authentication in MANET”, International Journal of Advanced Science and Technology, vol. 29, no.3, pp. 5835 – 5842, 2020.
[5] C.Tabassum Begum, Atheeq, Syed Raziuddin, Arshad Ahmed Khan Mohammed, “Eliminating Intentional Packet Dropping Attacks in MANETs Using Promiscuous Mode”, International Journal for Research in Applied Science & Engineering Technology, vol. 6, no.3, pp. 2591-2598, 2018.
[6] K.Vinoth Kumar,S.Bhavani, “An Effective Localization based Optimized Energy Routing for MANET” Journal of Theoretical and Applied Information Technology (JATIT), vol.77,no.2, pp.291-299, 2015.
[7] Shalu Malik and Anil Kumar Sharma, “Detection And Isolation Technique For Blackhole Attack In Wireless Sensor Network”, International Journal of Computer Engineering & Technology, vol.9, no.1, pp.66-73, 2018.
[8] S.Pramela Devi, V.Eswaramoorthy, K.Vinoth Kumar , T.Jaya Sankar, “Likelihood based Node Fitness Evaluation Method for Data Authentication in MANET ”, International Journal of Advanced Science and Technology, vol.29, no.3, pp.5835~5842,2020.
[9] K Spurthi, T.N.Shankar, “A Research on Wormhole Attack in Mobile Ad-Hoc Networks”,International Journal of Recent Technology and Engineering, vol.8, no.1S4, pp.1136-1141, 2018.
[10] S.Gopinath, K.Vinoth Kumar and T.Jaya Sankar, “Secure Location Aware Routing Protocol With Authentication For Data Integrity”, Cluster Comput , vol.22, pp.13609–13618, 2019.
[11] M.Sujatha, N,.B.Prakash, G.R.Hemalakshmi, T.Jayasankar “High Performance Grouping With Load Balancing Scheme for Wireless Sensor Networks” International Journal of Advanced Science and Technology, vol.28, no.12, pp. 441-449,2019.
[12] K.Vinoth Kumar, S.Bhavani, “Trust Based Multipath Authentication Protocol for Mobile Ad Hoc Network” , Journal of Computational and Theoretical Nanoscience, vol.12, no.12, pp. 5479-5485, 2015.
[13] K. B. Gurumoorthy, S. Gopinath, K. Vinoth Kumar, “Ant Colony Optimization and Genetic Algorithm Integrated Load Balancing Approach for MANET”, International Journal of Innovative Technology and Exploring Engineering (IJITEE), vol.8, no.5, pp.399-405, 2019.
[14] E.Vishnupriya, T. Jayasankar and P.Maheswara Venkatesh,“SDAOR: Secure Data Transmission of Optimum Routing Protocol in Wireless Sensor Networks For Surveillance Applications”, ARPN Journal of Engineering and Applied Sciences, vol. 10, no.16, pp.6917- 6931,2015.
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Novel Environmentally Safe Dual Port UWB MIMO Antenna with Triple Band Notch Characteristics with Sustain Enhanced Isolation
1H.Sudarsan and 2R.Gayathri
1Research scholar, Department of Electronics & Communication Engineering, Annamalai University, Tamilnadu , India.
2Assistant professor Department of Electronics & Communication Engineering, Annamalai University, Tamilnadu ,India.
Pages: 750-768
Abstract: [+]
This paper elaborates the design of a Printed dual port CPW fed ultra-wide band triple band notched MIMO antenna which is environmentally safe. The two radiating antennas where placed parallel to each other with adequate separation, to achieve better isolation between radiating elements a Conducting strip is introduced two slot were placed on it, conducting strip acts as a obstructer in reducing surface waves which leads to better isolation. Key parameters Energy ,ECC,TARC were analyzed. The total size of the proposed structure is 50.45mm*24.45mm*1.6mm.
Keywords: MIMO, CPW, Ultra wideband, RT Duroid, ECC
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[4] S.-W. Su, C.-T.Lee, and F.-S.Chang, “Printed MIMO-antenna system using neutralization-line technique for wireless USB dongle applications,” IEEE Transactions on Antennas and Propagation, vol. 60, no. 2, pp. 456–463, 2012.
[5] Ghosh, J., Ghosal, S., Mitra, D., BhadraChaudhuri, S.R., “Mutual coupling reduction between closely placed micro strip patch antenna using meander line resonator” Progress In Electromagnetics Research (PIER) Letters, vol. 59, 115–122, 2016
[6] J. Park, J. Choi, J.-Y. Park, and Y.-S. Kim, “Study of a Tshaped slot with a capacitor for high isolation between MIMO antennas”, IEEE Antennas and Wireless Propagation Letters, vol. 11, pp. 1541–1544, 2012.
[7] C. J. Lee, K. M. K. H. Leong, and T. Itoh, “Composite right/left-handed transmission line based compact resonant antennas for RF module integration,” IEEE Transactions on Antennas and Propagation, vol. 54, no. 8, pp. 2283–2291, 2006
[8] Zhu, F.G., Xu, J.D., Xu, Q.,“Reduction of mutual coupling between closely-packed antenna elements using defected ground structure”. Electron.Lett.,vol 45, pp 601–602, 2009
[9] K. Wang, R. A. M. Mauermayer and T. F. Eibert, “Compact two element printed monopole array with partially extended ground plane”, IEEE Antennas and Wireless Propagation Letters, vol. 13, pp. 138–140, 2014.
[10] Luo C-M, Hong J-S, Zhong L-L, “Isolation enhancement of a very compact UWB-MIMO slot antenna with two defected ground structures”,IEEE Antennas Wirel Propag Lett., vol.14,pp.1766-1769, 2015.
[11] N.Ramya M.Sujatha T.Jayasankar Prasad Jones Christydass, “Metamaterial Inspired Circular Antenna with DGS for Tetra Band Application”, International Journal of Control and Automation, vol. 13, no. 2, pp. 877 – 88, 2020.
[12] Zhang S, Ying Z, Xiong J, He S. “Ultrawideband MIMO/diversity antennas with a tree-like structure to enhance wideband isolation”, IEEE Antennas Wirel Propag Lett.,Vol 8, pp 1279-1282, 2009.
[13] Zhu, J.; Li, S.; Liao, S.; Xue, Q.”Wideband Low-Profile Highly Isolated MIMO Antenna With Artificial Magnetic Conductor”, IEEE Antennas Wirel.Propag.Lett., vol. 17, no. 3,pp 438-462 march 2018
[14] Kang L, Li H, Wang X, Shi X.” Compact offset microstrip-fed MIMO antenna for band-notched UWB applications”, IEEE Antennas Wirel Propag Lett.,Vol 14 pp 1754-1757, 2015.
[15]Qin H, Liu Y-F. “Compact UWB MIMO antenna with ACS-fed structure”,ProgElectromagn Res., Vol 50:29-37, 2014
[16] Payandehjoo K, Abhari R. “Employing EBG structures in multiantenna systems for improving isolation and diversity gain”,IEEE Antennas Wirel Propag Lett.,Vol 8,pp 1162-1165, 2009
[17] Liu, P., Sun, D., Wang, P.,Gao, P. “Design of a Dual-Band MIMO Antenna with High Isolation for WLAN Applications”,Prog.Electromag. Res., Vol 74, pp 23–30, 2018
[18] Chandel, R., Gautam, A.K.,Rambabu, K. “Design and Packaging of an Eye-Shaped Multiple-Input–Multiple-Output Antenna With High Isolation for Wireless UWB Applications”, IEEE Trans. Compon. Packag. Manuf. Technol., Vol 8, pp 635–642, 2018
[19] P.MaheswaraVenkatesh, T.Jayasankar, K.VinothKumar,“Inverted S-Shaped Quad Band Patch Antenna for Wireless Applications,” Journal of Advances in Chemistry, vol.12, no.19,pp.5139-5144, 2016.
[20] R. K. Saini, S. Dwari, and M. K. Mandal, “CPW-fed dualband dual-sense circularly polarized monopole antenna,” IEEE Antennas and Wireless Propagation Letters, vol. 16, pp. 2497–2500, 2017.
[21] R. Cao and S.-C. Yu, “Wideband compact CPW-fed circularly polarized antenna for universal UHF RFID reader,” IEEE Transactions on Antennas and Propagation, vol. 63, no. 9, pp. 4148–4151, 2015.
[22] P.Maheswaravenkatesh, T.Jayasankar, K.VinothKumar, “Triple Band Micro Strip Antenna for Femtocell Applications”, International Journal of Advanced Bio technology and Research (IJBR),vol.8, no.3,pp.2166–2175, 2017
[23] S.Shanthi,T.Jayasankar,Prasad Jones Christydass, P.Maheswara Venkatesh , “Wearable Textile Antenna For GPS Application”, International Journal of Scientific & Technology Research, Vol.8, No.11, pp.3788-3791,2019.
[24] Ramachandran A, Mathew S, Viswanathan VP, Pezholil M, Kesavath V. “Diversity-based four-port multiple input multiple output antenna loaded with interdigital structure for high isolation”, IET Microwaves Antennas Propag; vol.10,no.15, pp.1633–42, 2016.
[25] Choukiker, Y.K., Sharma, S.K., Behera, S.K., “Hybrid fractal shape planar monopole antenna covering multiband wireless communications with MIMO implementation for handheld mobile devices”, IEEE Trans. Antennas Propag, vol 62,pp.1483–1488, 2014.
[26] N. Gogosh, M. F. Shafique, R. Saleem, I. Usman, and A. M. Faiz, “An UWB diversity antenna array with a novel H-type decoupling structure,” Microw. Opt. Technol. Lett., vol. 55, no. 11, pp. 2715–2720, 2013.
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Improving User Level Security in Green Cloud Environment Using EDNA Cryptography
1K. Dhinakaran , 2R. Gnanavel, 3T. Rajasekaran, 4S. Durgadevi
1,2Assistant Professor, Department of Computer Science and Engineering, Rajalakshmi Institute of Technology, Chennai, India.
3Assistant Professor, Department of Computer Science and Engineering, Sri Venkateswara College of Engineering, Chennai, India.
4UG scholar, Department of Computer Science and Engineering, Rajalakshmi Institute of Technology, Chennai, India.
Pages: 769-791
Abstract: [+]
Past decade cloud is a developing technology in public and corporate clients. In web environment client verification and security has a significant job, this paper propounds a technique called a novel cryptography to maintain a strategic distance from malevolent client going into cloud application for improving the client level security. There are different cryptographic strategies, calculations, and systems for approving the client for getting to information or working cloud applications, which have been proposed by existing examination works. Yet at the same time there are different malicious client exercises like sybil, Distributed Denial of Service, Economic Denial of Sustainability, specific sending, etc., are expanding step by step in cloud. This paper thinks about the above issues as a significant issue and urge to give a superior arrangementwhich disposes of the malignant client movement in cloud. To do this, the EDNA (Enhanced Deoxyribo Nucleic Acid) cryptography technique is utilized for producing a solid key for client and information encryption – decoding process. For creating string key and information encryption, User data is changed over into human deoxyribonucleic acid form. Openstack is utilized to do the execution of the proposed approach and the trial results are confirmed. In view of the picked up results the performance is investigated by contrasting and the current outcomes. The proposed method also is applicable for hardware and green engineering environment.
Keywords: Cryptography, Green Cloud User level security,Enhanced Deoxyribo Nucleic Acid Encryption.
| References: [+]
[1] Enas Elgeldawi, Maha Mahrous, Awny Sayed, "A Comparative Analysis of Symmetric Algorithms in Cloud Computing: A Survey",International Journal of Computer Applications, vol.182, no.48, 2019.
[2] F. Mallouli, A. Hellal, N. Sharief Saeed and F. Abdulraheem Alzahrani, "A Survey on Cryptography: Comparative Study between RSA vs ECC Algorithms, and RSA vs El-Gamal Algorithms”, 6th IEEE International Conference on Cyber Security and Cloud Computing,2019 .
[3] A.R.Pathak, S.Deshpande, M.Panchal, “A Secure Framework for File Encryption Using Base64 Encoding", Lecture Notes in Networks and Systems, Springer, vol. 75, 2019.
[4] K.Dhinakaran, R.Kirtana, K.Gayathri, R.Devisri,“ Enhance Hybrid Cloud Security Using Vulnerability Management", Advances in Intelligent Systems and Computing book series, Springer, vol. 614. 2017.
[5] P.Goyal, H.Makwana, N.Karankar, “MD5 and ECC Encryption based framework for Cloud Computing Services”, Third International Conference on Inventive Systems and Control (ICISC), pp.195-200, 2019.
[6] Esmael V. Maliberan, “Modified SHA1: A Hashing Solution to Secure Web Applications through Login Authentication”, International Journal of Communication Networks and Information Security (IJCNIS),vol.11, No. 1, 2019.
[7] Mihir Bellare, , Ran Canetti and Hugo Krawczyk, , “Keying hash functions for message authentication ”, Crypto 96 Proceedings, Lecture Notes in Computer Science , Springer-Verlag Vol. 1109, , 1996.
[8] “The Basics of Cryptography-Fisher College of Business”. [Online] Available: https://fisher.osu.edu/~muhanna.1/pdf/crypto.pdf.
[9] J.Breier and X.Hou, “Introduction to Fault Analysis in Cryptography”, Automated Methods in Cryptographic Fault Analysis, eBook ,pp. 1-11,Springer,2019.
[10] Abhishek Majumdar, Arpita Biswas, Krishna Lal Baishnab and Sandeep K. Sood, “DNA Based Cloud Storage Security Framework Using Fuzzy Decision Making Technique”, KSII Transactions on Internet and Information Systems, Vol. 13, No. 7, Jul 2019.
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[12] A.Hazra , C.Lenka, A.Jha , M.Younus,“A Novel Two Layer Encryption Algorithm Using One-Time Pad and DNA Cryptography”, Innovations in Computer Science and Engineering. Lecture Notes in Networks and Systems, Springer, vol.103,pp 297-309,2020.
[13] W.Stallings, “Network security essentials”, Prentice Hall, Fourth edition, 2011.
[14] Y.Niu, K.Zhao, X.Zhang, G.Cui, “Review on DNA Cryptography” ,Communications in Computer and Information Science,Lecture Notes in Networks and Systems, Springer, vol.1160,pp 134-148, 2020.
[15] A.M.Osman, A.Dafa-Allah, A.A.M.Elhag, “Proposed security model for web based applications and services”, International Conference on Communication, Control, Computing and Electronics Engineering (ICCCCEE), pp. 1-6, 2017.
[16] J. Sun, "Sequence splicing techniques and their applications for information encryption," The International Conference on Advanced Mechatronic Systems, pp. 310-313, 2012.
[17] Xiuli Chai et.al, “A novel image encryption algorithm based on the chaotic system and DNA computing”,International Journal of Modern Physics C, Vol. 28, no. 5 , 2017.
[18] S Kumar, G Stecher, M Li, C Knyaz, K Tamura, “MEGA X: Molecular Evolutionary Genetics Analysis across Computing Platforms”, Molecular Biology and Evolution, vol.35,No.6, pp.1547–1549, 2018.
[19] Xing Wang and Qiang Zhang, “DNA computing-based cryptography”, IEEE proceeding of Fourth International Conference on Bio-Inspired Computing, pp.1 – 3, 2009.
[20] Barman Prokash and Saha Banani, "DNA Encoded Elliptic Curve Cryptography System for IoT Security" International Journal of Computational Intelligence & IoT, Vol. 2, No. 2, 2019.
[21] Radu Terec, Mircea-Florin Vaida, LenutaAlboaie, Ligia Chiorean, “DNA Security using Symmetric and Asymmetric Cryptography”, International Journal on New Computer Architectures and Their Applications, vol.1, no.1, pp. 34-51, 2011.
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Analysis of Traditional Masonry Building Units with Natural Sustainable Additives
1Vaishnavi Arakatavemula, 2Kotteeswaran Santhanam, 3Durgadevagi Shanmugavel, 4,* Ravi Ramadoss
1PG Student, Department of Civil Engineering, SRM Institute of Science and Technology, Kattankulathur, India.
2Research Scholar, Department of Civil engineering, SRM Institute of Science and Technology, Kattankulathur, India.
3Assistant Professor, Department of Civil Engineering, SRM Institute of Science and Technology, Kattankulathur, India.
4,*Associate Professor, Department of Civil Engineering, SRM Institute of Science and Technology, Kattankulathur, India.
Pages: 792-810
Abstract: [+]
India has a history that belongs to both victor and vanquished which consists of a rich and sundry cultural heritage in the form of built architecture. All these ancient structures were constructed in a variety of traditions and styles, which were systematize into a characteristic architecture. Preservation of built structures requires special skills and these skills are bewitched by engineers, especially structural engineer. The aim of this research is to characterize the mortars, using sustainable additives and study the stability aspects of the house under static and dynamic loads by creating a 3D model of ancient wall in India which was built 200 years ago. Lime has been used for millennia in construction, and its importance has only recently been rediscovered, especially in the field of conservation architecture. Lime mortars harden by carbonation, and this dissertation is an examination of this process. In order to improve strength property, workability, durability and adhesion of lime mortar certain additives had been used such as surkhi or powdered brick, animal fur (especially goat), volcanic pozzolona, egg white, jaggery, fenugreek seeds were added. The different characteristics such as elasticity module, Poisson ratio, young's modulus, water content and dry density were observed by casting walls with lime and other additives such as nutmeg and palm jaggery in the ratio 1:3 and the compressive strength and Flexural Strength of the walls has been studied.
Keywords: Compressive Strength, Flexural strength. Sustainable Natural additives, Lime mortars, Masonry Units.
| References: [+]
[1] B. Dhilipkumar, M. DhivakarKarthick,"Experimental Study on Lime Mortar using Flyash and Gallnut As Additives", International Journal of Engineering Research & Technology (IJERT),Vol. 4 ,no.25, pp. 1-4,2016.
[2] A.Spewiek, P.John, "The History of Masonry in America”, Proceedings of the 7th Canadian Masonry Symposium", Vol.2, no 5, pp. 663-677,1995.
[3] S.McKee, J.Harley." Introduction to Early American Masonry , Stone, Brick, Mortar, and Plaster”,National Trust for Historic Preservation,1973.
[4] Guofeng Wei, Hui Zhang, Hongmin Wang, Shiqiang Fang, BingjianZhang ,Fuwei Yang" An experimental study on application of sticky rice–lime mortar in conservation of the stone tower in the XiangjiTemple" ,Construction and Building Materials ,Vol.28, no.1, pp 624–632,2012.
[5] John J Hughes,Caspar Groot,Koenraad Van Balen,JanElsen “RILEM TC 203-RHM: Repair mortars for historic masonry. The role of mortar in masonry, an introduction to requirements for the design of repair mortars”, Materials and Structures, Vol.45, no 9, pp.1287-1294,2012.
[6] L. Ventola , M. Vendrell, P. Giraldez, L. Merino ,"Traditional organic additives improve lime mortars: New old materials for restoration and building natural stone fabrics", Construction and Building Materials Vol.25, no 8, pp 3313-3318,2011.
[7] A.Shoeb Ahmad, Virender Kumar, K. BhanuRamanand and N. MadhusudhanaRao , “Probing protein stability and proteolytic resistance by loop scanning: A comprehensive mutational analysis”,Protein Sci. Vol.21, no 3, pp433-446,2012.
[8] P. G. Racines, "Development of low cost roofing material from sugarcane begasse", M. Eng. Thesis No. 1043, Asian Institute of Technology, Bangkok, Vol. 12, No. 3, pp. 227-231,1977.
[9] M. A Mansur, M. AAziz,"Jutefibre reinforced composite building materials", Proc. Second Australian Conference on Engineering Materials,Sydney : University of New South Wales,pp. 585,1981.
[10] R. S. P Coutts, M. D Cambell, "Coupling agents in wood fibre-reinforced cement composites", Composites,Vol. 10, No. 4, pp. 228-232,2014.
[11] O. J Ozomaka, "Characteristics of akwara as a reinforcing fibre", Magazine of Concrete Research, Vol. 28, No. 96, pp. 162-167,2010.
[12] G. Lewis, P. Mirihagalia, "Natural vegetable fibres as reinforcement in cement sheets", Magazine of Concrete Research, Vol. 31, No. 107, pp. 104-108.2018.
[13] R.Andonian, , Y. W Mai, B.Cotterel, "Strength and fracture properties of cellulose fibre reinforced cement composites", Int. J. Cement Composites, Vol. 1, No. 3, pp. 151-158,2017.
[14] R. Ravi Ramdoss, S.ThirumaliniPerumal S.K. Sekar ,"Characterization of Hydraulic Lime Mortar Containing OpuntiaFicusIndica as a BioAdmixture for Restoration Applications", International Journal of Architectural Heritage, Vol. 10, No. 6, pp. 714-725,2016.
[15] R. Ravi, M. Rajesh and S.Thirumalini, " Mechanical and physical properties of natural additive dispersed lime", Journal of building Engineering, Vol.15, pp. 70-77,2018.
[16] S.Khalid Ahmed Gour, R.RaviRamadoss, S.ThirumaliniSelvaraj,"Revamping the traditional air lime mortar using the natural polymer – Areca nut for restoration application",Construction and Building Materials ,Vol 164, pp. 255-264,2018.
[17] DurgadevagiShanmugavel, RachnaDubey, Ravi Ramadoss,"Use of natural polymer from plant as admixture in hydraulic lime mortar masonry", Journal of Building Engineering, Vol.30, 2020.
[18] Ravi Ramadoss, AbrarAhamed, ThirumaliniSelvaraj," Alternative approach for traditional slaking and grinding of air lime mortar for restoration of heritage structures",natural polymer,Vol.25, No. 3, 2019.
[19] Maria Stefanidou,MichailPapachristoforou,FotiniKesikidou,"Fiber-reinforced lime mortars" ,4th Historic Mortars Conference, pp. 422-430,2016.
[20] VerenaSeufert, NavinRamankutty& Jonathan A. Foley "Comparing the yields of organic and conventional agriculture", Nature, Vol 485, no. 7397 , pp. 229-232,2012.
[21] L.Ventolà,M.Vendrell,P.Giraldez,L.Merino,"Traditional organic additives improve lime mortars: New old materials for restoration and building natural stone fabrics ", Construction and Building Materials,Vol 25, no. 8, pp. 3313-3318,2011.
[22] MicheleBetti, Luciano Galano ,AndreaVignoli,"Time-History Seismic Analysis of Masonry Buildings: A Comparison between Two Non-Linear Modelling Approaches", Buildings,Vol. 5, No. 2,. pp. 597-621,2015.
[23] M. Deshpande,S.V. Lale , Y.P. Pawar, C. P. Pise, Kadam S. S.,Mohite D. D.3, Deshmukh C.M, “Study of Sesmic Analysis of Masonry Wall Structure" ,Int. Journal of Engineering Research and Application,Vol. 7, No. 3,. pp. 1-8,2017.
[24] IS 456 : 2000 'Plain and Reinforced Concrete Code of Practice' Bureau of Indian Standards.
[25] IS 6932-11:1983 Method of test for building limes: Part 11 Determination of setting time of hydrated lime.
[26] IS 6932-7:1973 Method of test for building limes: Part 7 Determination of compressive and transverse.
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An Efficient Incident Recovery Based Information Security model Using Fuzzy Rough Sets for Green Business Environment
1Vinod Duraivelu, 2Udaykumar Kamalakannan, 3 Dhinakaran Kumar, 4Elantamilan Dhathinamoorthy
1Associate Professor, Department of Computer Science and Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai, India.
2Assistant Professor, Department of Computer Science and Engineering, Bharath Institute of Higher Education and Research, Chennai, India.
3Assistant Professor, Department of Computer Science and Engineering, Rajalakshmi Institute of Technology,Chennai, India.
4Assistant Professor, Department of MCA , Guru Nanak College, Chennai, India .
Pages: 811–826
Abstract: [+]
The objective of the work is to propose a fuzzy rough set based incident response plan with attack modeling and verification technique encompassing the information assurance in green business environment. Developed or gathered data about the current or past security incidents in business forms are to be recognized for conveying right security systems. The accuracy of the current data and the accentuation of the past data identified with security are officially used to foresee the truth of future data security occurrences in a business situation. The accentuation on different fragments of the data is investigated according to the fuzzy data in regards to the assaults and their effects. The fuzzy result and lament lattices desire and their relative weightages in different event responds action with business forms are quantitatively displayed to take a right choice with the proposed with Time Contiguity Anxious Logic (TCAL) tense validation. The hopeful green security system is distinguished when numerous business forms with various truth factors are teamed up. The intelligent sequent math with its methods is applied to implement the best option of information assurance and its security activity to defend any attack towards business environment.
Keywords: Fuzzy rough set, structured information, Semantic tense logic, Accentuation Security Event, sequent calculus, information Assurance.
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[2] Kiran Kumar, Vinod. D, “An Improved Prediction on Consumer Purchase Intension Using Social Media Data’s using Machine Learning” International Journal of TEST Engineering and Management, Vol.82 no.1, February 2020.
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Strength Evolution of Eco-friendly Geopolymer Mortar Under Ambient Temperature
1Shaik Numan Mahdi, 2Dushyanth V Babu R, 3A.Arunraj, 4A.Shashishankar
1Research Scholar, School of Civil and Environmental Engineering, CERSSE-JAIN (Deemed to be University), Bangalore, Karnataka, India.
2Assistant Professor and Head, School of Civil and Environmental Engineering, FET-JAIN (Deemed-to-be-University), Ramnagaram, Karnataka, India.
3Assistant Professor, Faculty of Civil Engineering, Easwari Engg College, Chennai, India.
4Professor and Head, Department of Civil Engineering, AMCEC, Bangalore, Karnataka, India.
Pages: 827–842
Abstract: [+]
Green materials which gives high performance and saves the environment by developing sustainable technology in terms of usage of waste materials targeted to landfills which can cause environmental pollution. Recent technologies have developed a new binder as Geopolymer which builds a polymeric structure using oxides and alkalis to mitigate carbon footprint in construction industry. This paper presents a geopolymer mortar matrix using Class F Fly ash and crushed stone dust as precursors with Sodium based activators. Mix design is developed for binder content of 1200 Kg/m3 with a fluid binder ratio of 0.5, Compressive strength as destructive test method and Dynamic modulu’s of elasticity as non-destructive test method for the designed mortar matrix are computed. Results made an observation that, flow of 225mm is achieved which represents as high workable and hardened density ranges from 2150 Kg/m3 to 2350Kg/m3. Compressive strength at 28 days is obtained as 37.6 MPa and 43.4 MPa as maximum at ambient curing temperature of 35±20C, Maximum Dynamic modulus of elasticity at ambient temperature is obtained as 28.74 MPa at velocity of 3.8 m/s. Hence practical observations leads to conclusion that the geopolymer mortar made of cent percent Class F flyash can be used as sustainable material for mortar structural applications.
Keywords: Fly ash, Compressive strength, Dynamic elastic modulus, Geopolymer, Ambient curing
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[3] R.H.A. Rahim, M.F. Nuruddin, , L. Ismail, T. Rahmiati , K. A. Azizli, Z. Man “Comparison of using NaOH and KOH activated flyash based geopolymer on the mechanical properties”, Materials Science Forum, vol.803, pp. 179-184, 2015.
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Compressive Property Examination on Poly Lactic Acid-Copper Composite Filament in Fused Deposition Model – A Green Manufacturing Process
1M.Venkata Pavan and2,*K. Balamurugan
1Research Scholar, Department of Mechanical Engineering, VFSTR (Deemed to be University) Guntur, AP, India.
2Department of Mechanical Engineering, VFSTR (Deemed to be University) Guntur, AP, India.
Pages: 843–852
Abstract: [+]
To build complicated and instinct shape 3D printing technology which can also called as green technology has been widely used among them Fused Deposition Model (FDM) has its advantages. To have improved properties, composite filaments are fabricated with metal as reinforcement in the PLA matrix. Composite filament with 12% of copper as reinforcement was successfully fabricated through the hot extrusion process. To measure the compressive strength of the fabricated filament, it is printed to the ASTM D695-15 at different machining conditions. The effect of each printing parameters on density and compression strength are evaluated to understand the effect of compressive load at different printing conditions. The high-density samples are obtained at a low-level layer height. Increment on building temperatures import brittle property and give raise to have high compressive load withstanding capacity. Displacement to compressive load is in the range of 6 mm to 10 mm.
Keywords: Fused deposition model, Composite Filament, PLA-CU, Printing Parameters, Compressive Strength
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[1] Z. Feng, W. Min, V.V. Vilayanur, S. Benjamin, S. Yuyan, W. Gang, Z. Chi, “3D printing technologies for electrochemical energy storage”, Nano Energy, Vol. 40, pp. 418–431, 2017.
[2] W. Xin, J. Man, Z. Zuowan, G. Jihua, H. David, “3D printing of polymer matrix composites: A review and prospective”, Composites Part B, Vol. 110, pp. 442-458, 2017.
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[5] Y. Song, Y. Li, W. Song, K. Yee, K.Y. Lee, V.L. Tagarielli , “Measurements of the mechanical response of unidirectional 3D-printed PLA”, Materials & Design, Vol. 123, pp. 154-164, 2017.
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[12] B.G. Manoj, G. Anandarup, X.F. Francois, A. Tewodros, H. Xiaoxi, S. Rafael, Z. Xiaoxin, Z. Radek, S.V. Rajender, “Cu and Cu-Based Nanoparticles: Synthesis and Applications in Catalysis”, Chemical Reviews, Vol. 116, No. 6, pp. 3722-3811, 2016.
[13] S. Ahamad, P. Rat, J. Jedsada, S. Kittitat, “Metal oxide semiconductor 3D printing: preparation of copper(II) oxide by fused deposition modelling for multi-functional semiconducting applications”, Journal of Materials Chemistry C, Vol. 5, No. 6, pp. 4598-4613, 2017.
[14] Y. Tianyun, D. Zichen, Z. Kai, L. Shiman, “A method to predict the ultimate tensile strength of 3D printing polylactic acid (PLA) materials with different printing orientations”, Composites Part B, Vol. 163, pp. 393-402, 2019.
[15] R. Shilpesh, D. Harshit, “Flexural strength of fused filament fabricated (FFF) PLA parts on an open-source 3D printer”, Advances in Manufacturing, Vol. 6, pp. 430-441, 2018.
[16] M. Hui, Y. Xiaokang, Z. Jiongjiong, Z. Wenyu, “Compressive Properties of 3D Printed Polylactic Acid Matrix Composites Reinforced by Short Fibers and SiC Nanowires”, Advanced Engineering Materials, Vol. 21, No. 5, 2019.
[17] J.M. Chacon, M.A. Caminero, E. Garcıa-Plaza, P.J. Nunez, “Additive manufacturing of PLA structures using fused deposition modelling: effect of process parameters on mechanical properties and their optimal selection”, Materials & Design, Vol. 124,pp. 143-15, 2017.
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Implementation Opportunities and Challenges for Renewable Energy Resources based Smart Micro Grids in India
1,*Mande Praveen and 2G. V. Sivakrishna Rao
1Department of Electrical Electronics and Communication Engineering, Gandhi Institute of Technology and Management (Deemed to be University), Visakhapatnam, 530045, Andhra Pradesh, India.
2Department of Electrical and Electronics Engineering, Andhra University College of Engineering, Andhra University, Visakhapatnam-530003, Andhra Pradesh, India.
Pages: 853–867
Abstract: [+]
The current interest of many cities in India is to become smarter and technically advanced, which would eventually alter the electricity consumption patterns. On the other side, the existed centralized electric grid system may not be a reliable source in meeting such altered patterns. Demand-based supply would become very difficult in the conventional electric grid. It is believed that smart grid systems are the best option to serve such loads by allowing distributed energy generation. But, developing smart grid systems is not an easy task, where they involve the amalgamation of power technologies with information and communication technologies. In this study, we tried providing an overview of the smart grid infrastructure and the functionalities. The scope for smart grid systems in the Indian context is studied. The role of renewable energy sources and their potential in India is also discussed. Apart from this, various opportunities for implementing smart grids in India, along with the challenges, are explored.
Keywords: Smart grids, Microgrids, Electric utility, Smart grids, Renewable energy.
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Data Envelopment Analysis for Checking Sustainable Efficiency in Cloud Computing Engineering
1S. Manoj Kumar and 2R. Venkateswarlu
1Research Scholar, Department of Management, GITAM (Deemed to be University), Gandhi nagar, Rushikonda, Visakhapatnam, Andhra Pradesh, India.
1Professor, Department of Management, GITAM (Deemed to be University), Gandhi nagar, Rushikonda, Visakhapatnam, Andhra Pradesh, India.
Pages: 868–881
Abstract: [+]
The importance of cloud technologies in Information Technology Engineering has been growing world-wide which has brought significant changes and opportunities to various sectors across the Globe. The current study is related to calculating the relative efficiency of cloud companies using Data Envelopment Analysis(DEA) i.e., decision making units (DMUs) for IT Companies. This study provides dimension of Cloud Company’s efficiency using DEA with data in 2017 among the 10 Cloud Companies. This study uses Number of Employees, Year of Establishment and no of companies using that particular cloud as input variables whereas Annual Revenue and Annual Income are the output variables for the DEA Analysis. Results indicate DEA is fairly methodology in relates to efficiency of DMUs.
Keywords: Data Envelopment Analysis, decision making units, Cloud, efficiency, Constant Returns to Scale and VRS, Variable returns to scale
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[37] DEAP Link software - https://economics.uq.edu.au/cepa/software
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Energy Efficient Resource Allocation Using Hybrid Genetic Algorithm in Cloud
1B.S.Murugan, 2D.Vinod, 3P.Vijayakarthik, 4S.Dhanasekaran, 5Mohammed Thaha
1,4Associate Professor,Department of CSE, Kalasalingam Academy of Research and Education, Virudhunagar,India.
2Associate Professor ,Department of CSE, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Science, Chennai,India.
3Professor Department of ISE, Sir M.Visveswaraya Institute of Technology, Bengaluru,India.
5Associate Professor, Department of CSE, B.S.AbdurRahman Crescent Institute of Science and Technology, Chennai,India.
Pages: 882–896
Abstract: [+]
Cloud computing uses distributed servers organized in the web that is used to store, manage, and process information, rather than a regional web server or a laptop or computer. The cloud computing services are created available through the datacenters. The resources are most important consideration for energy consumption in data centers. Moreover power consumption within the cloud is proportional to the resource usage of datacenter which are nearly the world’s maximum customers of power. So we have proposed to minimize the energy consumption through the clusters of server and VM migration using hybrid genetic algorithm in concern with efficient resource allocation. These two methods improve the energy efficient resource allocation in cloud environment.
Keywords: cloud computing, energy efficient, resource allocation, clusters of servers, VM migration
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[9] WannengShu , Wei Wang and Yunji Wang “A novel energyefficient resource allocation algorithm based on immune clonal optimization for green cloud computing” EURASIP Journal on Wireless Communications and Networking, Vol 6, no.2, 2014,
[10] GirishMetkar Sanjay AgrawalDr.Shailendra Singh “ A Live Migration of Virtual Machine Based on the Dynamic Threshold at Cloud Data Centres” International Journal of Advanced Research in Computer Science and Software Engineering, Vol 3, no. 10, 2013
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Environmental Protection of SS 304 from Corrosion Using Ceria Zirconium
1P.Praveen Raj and 2M.Kanthashoba
1,2Assistant Professor,Department of Mechanical Engineering,ThanthaiPeriyar Government Institute of Technology, Bagayam, Vellore, Tamilnadu, India.
Pages: 897–911
Abstract: [+]
Degradation of materials in marine, industrial, aircraft as well as land base gas turbines is because of high-temperature oxidation. In India, serious problems based on coal-based power generation plants are known as hot corrosion as well as erosion. Hot corrosion, as well as erosion in boilers along with relevant elements, is liable for massive losses, each direct and indirect, in power generation. Information on these issues along with, therefore to build up appropriate protective methods is necessary for the maximum use of such mechanism. These issues could be avoided through either altering the environment or changing the material or through separating the element surface from the environment. In surface engineering, Corrosion prevention through utilization of coatings for sorting out objects from the environment is achieving significance. The plasma spray coatings of yttrium stabilized a zirconium coating which offers high-quality resistance to the high speed steels, stainless steels, as well as other materials to with stand best corrosion with wear properties. Additional, the ceria is added to the zirconium outcomes among superior corrosion resistance. The corrosion resistance property of samples consists of 20% 25% 30% of ceria has been determined using a salt spray test and found that percentage increase in ceria resulted in the increased corrosive resistance.
Keywords: Ceria, Plasma spray coating, Zirconium, corrosion resistance,Enviromental Protection
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Energy Flow Supervision in the Hybrid Fuel Cell Vehicle with Three Port Systems
1K Nageswara Rao, 2S K Indumathi, 3N.Keerthika, 4A. Thamarai Selvi , 5P. Ramesh
1Assistant Professor, Dept. of Electrical and Electronics Engineering, Hindustan Institute of Technology and Science, Chennai, India.
2Assistant Professor, Dept. of Electrical and Electronics Engineering, Hindustan Institute of Technology and Science, Chennai, India
3Assistant Professor, Dept. of Electrical and Electronics Engineering, Hindustan Institute of Technology and Science, Chennai, India.
4Assistant Professor, Dept. of Computer Science and Engineering, Hindustan Institute of Technology and Science, Chennai, India.
5Assistant Professor, Dept. of Electronics and communication Engineering, Hindustan Institute of Technology and Science, Chennai, India.
Pages: 912–930
Abstract: [+]
The design and development of hybrid fuel-cell Vehicles are recommended to increase the period of life for the whole system, because of the nature in slow transients of a fuel cell, therefore an unpredictable as well as an extreme deviation within a load, which drops the fuel cells lifetime. In this paper offered the three-port system (TPS) and its strategy for stable operation by using average small-signal modeling with the help of the system controllers. The proportional-integral (PI) controller realized with the help of extended symmetrical optimum method (ESOM), to regulate the Load / Output voltage in addition to the fuel cell / Source power flow within a minimum phase margin aimed at the system through an adjustable gain in process accumulation for further preferred operations. In this technique guarantees the extreme phase margin at the smallest essential value at the favored gain crossover frequency. This approach/model and helps to design the TPS, which is appropriate for well and uninterrupted power generation systems from fuel cells equally a renewable /clean energy system. The proposed controllers with TPS are simulated with the help of MATLAB/Simulink.
Keywords: Fuel cell, DC-DC Converters, Three Port System, Extended Symmetric Optimum Method,Hybrid fuel-cell Vehicles
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[6] Inoue S, Akagi H. "A bidirectional DC–DC converter for an energy storage system with galvanic isolation" IEEE Transactions on Power Electronics. vol. 22, no. 6, pp.2299-2306, 2007.
[7] J. L. Duarte, M. Hendrix and M. G. Simoes, "Three-Port Bidirectional Converter for Hybrid Fuel Cell Systems" in IEEE Transactions on Power Electronics, vol. 22, no. 2, pp. 480-487, 2007.
[8] C. Liu, A. Johnson and J. -. Lai, "A novel three-phase high-power soft switched DC/DC converter for low voltage fuel cell applications," Nineteenth Annual IEEE Applied Power Electronics Conference and Exposition APEC '04, 2004.
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[14] James L, Andrew D. "Fuel cell systems explained," Chichster: John Wiley & Sons Ltd.,vol.3, pp.43-68, 2003.
[15] Preitl S, Precup R-E. "Technical Communique: An extension of tuning relations after symmetrical optimum method for PI and PID controllers," Automatica (Journal of IFAC),vol.35, pp.1731-1736, 1999.
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Investigation of Deep Learning Methodologies in Intelligent Green Transportation System
1,*S Iwin Thanakumar Joseph, 2S Velliangiri, 3C Sorna Chandra Devadass
1,*Assistant Professor, Department of Computer Science and Engineering, Karunya Institute of Technology and Sciences, Coimbatore, Tamilnadu, India.
2Associate Professor, Department of Computer Science and Engineeering, CMR Institute of Technology, Hyderabad, India.
3Professor, Department of Civil Engineering, Samskruti College of Engineering and Technology, Hyderabad, India.
Pages: 931–950
Abstract: [+]
Due to the advancement of technologies in the past few years, huge amount of data especially in the transportation domain received through devices such as road sensors, CCTV, probes, GPS etc. It is quite challenge to build a consistent and robust prediction models using traditional machine learning models in these complicated scenarios. On demand information about traffic is highly essential for the intelligent green transportation system. Now a day’s deep learning shows promising significance in every aspect of research as well as industrial applications. This research article reviews the various deep learning methodologies in intelligent green transportation system by means of automatic vehicle detection, traffic flow forecasting, transportation network representation, prediction etc.
Keywords: Deep Learning, Intelligent Transportation System, Green Engineering, Traffic Flow, Automatic Vehicle Detection
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[1] Lv, Yisheng, Yanjie Duan, Wenwen Kang, Zhengxi Li, and Fei-Yue Wang, "Traffic flow prediction with big data: a deep learning approach", IEEE Transactions on Intelligent Transportation Systems, Vol. 16, No. 2, pp. 865-873, 2014.
[2] Nguyen, Hoang, Chen Cai, and Fang Chen, "Automatic classification of traffic incident's severity using machine learning approaches", IET Intelligent Transport Systems,Vol.11, No.10, pp. 615-623, 2017.
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[5] Yuan, Tingting, Wilson Borba da Rocha Neto, Christian Rothenberg, Katia Obraczka, Chadi Barakat, and Thierry Turletti, "Harnessing Machine Learning for Next-Generation Intelligent Transportation Systems: A Survey", 2019.
[6] Bao, Wenhang, and Xiao-Yang Liu, "Spatial Influence-aware Reinforcement Learning for Intelligent Transportation System", arXiv preprint arXiv:1912.06880, 2019.
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[12] Tampubolon, Hendrik, and Pao-Ann Hsiung, "Supervised Deep Learning Based for Traffic Flow Prediction", International Conference on Smart Green Technology in Electrical and Information Systems (ICSGTEIS), IEEE, pp.95-100, 2018.
[13] Li, JiaWen, and JingSheng Wang, "Short term traffic flow prediction based on deep learning", CICTP 2019, pp.2457-2469, 2017.
[14] Araghi, Sahar, Abbas Khosravi, Michael Johnstone, and Doug Creighton, "Intelligent traffic light control of isolated intersections using machine learning methods", IEEE International Conference on Systems, Man, and Cybernetics, IEEE, pp. 3621-3626, 2013.
[15] Garg, Deepeka, Maria Chli, and George Vogiatzis, "Deep reinforcement learning for autonomous traffic light control", 3rd IEEE International Conference on Intelligent Transportation Engineering (ICITE), IEEE, pp.214-218, 2018.
[16] Ha-li, Pang, and Ding Ke., "An intersection signal control method based on deep reinforcement learning", 10th International Conference on Intelligent Computation Technology and Automation (ICICTA), IEEE, pp.344-348, 2017.
[17] Li, Congcong, Fei Yan, Yiduo Zhou, Jia Wu, and Xiaomin Wang, "A Regional Traffic Signal Control Strategy with Deep Reinforcement Learning", 37th Chinese Control Conference (CCC), IEEE, pp. 7690-7695, 2018.
[18] Li, Li, Yisheng Lv, and Fei-Yue Wang, "Traffic signal timing via deep reinforcement learning" IEEE/CAA Journal of Automatica Sinica Vol.3, No.3, pp.247-254, 2016.
[19] Zaatouri, Khaled, and Tahar Ezzedine, "A Self-Adaptive Traffic Light Control System Based on YOLO", International Conference on Internet of Things, Embedded Systems and Communications (IINTEC), IEEE, pp. 16-19, 2018.
[20] Tayara, Hilal, Kim Gil Soo, and Kil To Chong, "Vehicle detection and counting in high-resolution aerial images using convolutional regression neural network", IEEE Access Vol. 6, pp. 2220-2230, 2017.
[21] Jiang, Qiling, Liujuan Cao, Ming Cheng, Cheng Wang, and Jonathan Li.,"Deep neural networks-based vehicle detection in satellite images", International Symposium on Bioelectronics and Bioinformatics (ISBB), IEEE, pp. 184-187, 2015.
[22] Min, Zhao, Jia Jian, Sun Dihua, and Tang Yi., "Vehicle detection method based on deep learning and multi-layer feature fusion", Chinese Control And Decision Conference (CCDC), IEEE, pp. 5862-5867, 2018.
[23] Soin, Akhil, and Manisha Chahande., "Moving vehicle detection using deep neural network", International Conference on Emerging Trends in Computing and Communication Technologies (ICETCCT), IEEE, pp. 1-5, 2017.
[24] Tsai, Chia-Chi, Ching-Kan Tseng, Ho-Chia Tang, and Jiun-In Guo, "Vehicle detection and classification based on deep neural network for intelligent transportation applications", Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), IEEE, pp. 1605-1608, 2018.
[25] Mittal, Deepak, Avinash Reddy, Gitakrishnan Ramadurai, Kaushik Mitra, and Balaraman Ravindran, "Training a deep learning architecture for vehicle detection using limited heterogeneous traffic data", 10th International Conference on Communication Systems & Networks (COMSNETS), IEEE, pp. 589-294, 2018.
[26] Mansour, Ahmad, Ahmed Hassan, Wessam M. Hussein, and Ehab Said, "Automated vehicle detection in satellite images using deep learning", IOP Conference Series: Materials Science and Engineering, Vol. 610, 2019.
[27] Moukafih, Youness, Hakim Hafidi, and Mounir Ghogho, "Aggressive Driving Detection Using Deep Learning-based Time Series Classification", IEEE International Symposium on INnovations in Intelligent SysTems and Applications (INISTA), IEEE, pp. 1-5, 2019.
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[29] Romera, Eduardo, Luis M. Bergasa, and Roberto Arroyo, "Need data for driver behaviour analysis? Presenting the public UAH-DriveSet", IEEE 19th International Conference on Intelligent Transportation Systems (ITSC), IEEE, pp. 387-392, 2016.
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[31] Yan, Shiyang, Yuxuan Teng, Jeremy S. Smith, and Bailing Zhang, "Driver behavior recognition based on deep convolutional neural networks", 12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD), IEEE, pp. 636-641, 2016.
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Analysis of Sustainable Composite Normal and Self-Compacted Concrete-Castellated Steel Beams Using Finite Element Method
1Alaa Adnan Hafedh, 2Ghufraan Hussien Hassan, 3Ronak Mohammed Saeed
1Department of Civil Engineering, AL-Qalam University College, Kirkuk, Iraq.
2Department of Civil Engineering, AL-Qalam University College, Kirkuk, Iraq.
3Presidency of Kirkuk University, Kirkuk University, Kirkuk, Iraq.
Pages: 951–971
Abstract: [+]
In this paper, finite element method has been implemented to study the behaviour of sustainable composite normal and self-compacted concrete-castellated steel beams with different castellation ratio (0, 25, 33.8) %. ANSYS (v.15.0) software has been used for this purpose. The finite element results of ultimate load and load-midspan deflection curves have been compared with available experimental data. A good agreement has been obtained between the finite element results and experimental results. Maximum difference in ultimate load is (4%). Also, deflection-castellation ratio relationship, load-castellation ratio relationship and von Mises stresses have been presented. Parametric study has been carried out to study the influence of different shape of openings (hexagonal, square, circular, rectangular and diamond) in steel beam on the ultimate load and midspan deflection of sustainable composite concrete-castellated steel beam. It is found thatwith respect to sustainable composite beam with hexagonal shape of openings, load carrying capacity of sustainable composite beams with circular openings in steel beam increased by (0.625%), meanwhile load carrying capacity decreased by about(11.2%, 8.9% and 16.9%) when using sustainable composite beams with rectangular, diamond, and square shapes ofopenings in steel beam respectively. Also, it is found that there is a little effect of shape of opening on deflection.
Keywords: SustainableComposite Beams, Castellated Steel Beams, Finite Element Method, ANSYS Software,Deflection-castellation ratio relationship
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[3] A. H. A. Al-Zuhairi and A. I. Mansi, “Behavior of composite concrete-castellated steel beams in flexure”, 1st International Conference on Recent Trends of Engineering Sciences Sustainability, Vol 5,pp-24-36,2017.
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Acoustics Recognition with Expert Intelligent System
1Ahmad Taha Abdul sadda, 2Ruaa Shallal Abbas Anooz, 3Aymen M. Khodayer Al-Dulaimi
1Associate Professor, Department of CTE Al Najaf Technical Engineering College, Al Furat Al Awast Technical University, Al Najaf, Iraq.
2Assistant Lecturer, Department of ATE, Al Najaf Technical Engineering College, Al Furat Al Awast Technical University, Al Najaf , Iraq.
3Lecturer, Department of CTE,Al-Farahidi University, Baghdad, Iraq.
Pages: 972–985
Abstract: [+]
In this article, we present a creative scheme for improving the noisy voice speech signal within a multi-channel voice improving and enhancement system. A hybrid optimization algorithm is a new approach using the mix of traditional fuzzy-PSO and hybrid fuzzy PSO (HFPSO) methodology. The F-PSO algorithm considered to have higher efficiency in optimization than regular PSO. It proposed that the F-PSO algorithm increases the variety of particles of a swarm by choosing a particular value for the specified parameters to more improve the performance of the conventional PSO. The suggested speech enhancement process called FHPSO is a hybrid strategy that combines both F-PSO and HPSO to optimize the benefits of both algorithms. The new FHPSO algorithm is shown to be very successful in obtaining global convergence for adaptive filters and resulting in a powerful funnel of noise from the input voice signal. The findings of the experimental simulation show in terms of convergence rate and SNR-amelioration the current algorithm goes beyond the conventional PSO, F-PSO, and HFPSO.
Keywords: signal, adaptive filter, fuzzy rules, PSO, hybrid fuzzy PSO.
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A Hybrid Optimization Memethic Algorithm to Solve Cloud Scheduling Problems
1R.Rajadevi , 2P Johnpaul, 3Sathish kumar S, 4K Venkatachalam, 5M. Kowsigan
1Assistant Professor, Department of Information Technology, Kongu Engineering College, Tamilnadu, India.
2Teaching Associate, Department of Computer Science and Engineering, School of Computing,SRMInstitute of Technology, Kattankulathur Campus, Kanchipuram, Chennai, Tamilnadu, India.
3Associate Professor,Department of EEE,M.Kumarasamy College of Engineering,Karur,Tamilnadu, India.
4Assistant Professor, School of Computer science and Engineering,VIT Bhopal, India.
5Assistant Professor, Department of Computer Science and Engineering, School of Computing,SRMInstitute of Technology, Kattankulathur Campus, Kanchipuram, Chennai, Tamilnadu, India.
Pages: 986–997
Abstract: [+]
A web – based concept called as cloud computing helps in identifying the applications that stores the data in the web and accesses them via the same. Hence cloud computing can be considered as an analogy for the web. One of the main procedures in the paradigm of distributed computing is the employment booking where an efficient cloud scheduler is used for distributing the accessible assets to different assignments and is considered as the most prominent testing part in the same. Allotment of assets in work booking is one of the primary issues that arise during the planning calculation activity. This issue can be resolved in an ideal manner with the help of memethic calculation which is a metaheuristic approach. This metaheuristic approach is the combination of both neighbourhood search calculation as well as the hereditary calculation. By means of actualizing the memethic calculation in this paper, the best ideal arrangement can be obtained.
Keywords: Crossover, mutation, scheduling, makespan, memethic algorithm
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Performance Analysis of Narrowband IoT Downlink Channels
1T. Pitchaiah and 2Y.Ravi Sekhar
1Department of ECE, Vignan’s Foundation for Science Technology and Research (Deemed to Be University), Vadlamudi, India.
2Department of ECE, Vignan’s Foundation for Science Technology and Research (Deemed to Be University), Vadlamudi, India.
Pages: 998–1017
Abstract: [+]
Narrowband Internet of Things (NB IoT) is initiated by cellular standards body 3GPP (Third Generation Partnership Project) standards body to provide low bit error rate, low battery consumption, and low latency with wider coverage, in Long Term Evolution (LTE) Rel-13 standard, machine type communication(MTC) is supported, which uses narrowband as the data rates are low. LTE defines three particular activity modes – the first is stand-alone a dedicated GSM channel (200kHz) as IoT channel, and the second one is in-band a set of LTE subcarriers as IoTChanels, and the third one is utilizing the guard band of LTE. In this paper, NB IoT channels are simulated using System Vue and the performance analysis of Bit Error Rate (BER) is made. Various modes of operations such as stand alone, In-band and Guard Band for downlink channels - Narrowband Physical Downlink Control Channel (NPDCH) and Narrowband Physical Downlink Shared Channel (NPDSCH) are simulated. The simulations are performed for different antenna configurations - Single Input Single Output (SISO), Single Input Multi Output (SIMO – 1X2), Multi Input Single Output (MISO - 2X1), and Multi Input Multi Output (MIMO – 2X2). It is observed that with MIMO antenna configuration, BER performance of downlink NB IoT is better compared to all other configurations. In 5G, a lot of IoT devices are inter-connected massively and Massive Machine Type Communication (MMTC) is the order of the day and so Narrowband IoT with MIMO can be used efficiently for green energy applications.
Keywords: Internet of Things, Long Term Evolution. Narrow Band Internet of Things, Machine Type Communications, Multi In Multi Out.
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Design and Implementation of Solar Powered Tricycle for Physically Challenged Person
1P.Karthikeyan, 2C.Bala Subramanian, 3V.Arunprasad, 4M.Karthik
1Assistant Professor, Department of Electrical & Electronics Engineering, Kongu Engineering College, Tamilnadu, India.
2Assistant Professor, Department of Computer Science and Engineering, Kalasalingam Academy of Research and Education, Anand Nagar, Krishnankoil, Tamilnadu, India.
3Associate Professor, Department of Mechanical Engineering, TheniKammavarSangam College of Technology, Theni, Tamilnadu,India.
4Associate Professor, Department of Electrical & Electronics Engineering, Kongu Engineering College, Tamilnadu, India.
Pages: 1018–1034
Abstract: [+]
In this paper, solar powered electric tricycle is designed for physically challenged people. According to the census taken in India in the year 2011(2016 updated) out of the 121 Cr population, 2.68 Cr persons are disabled which is 2.21% of the total population. Majority of the disabled population are resided in rural areas (1.86 Cr) and 0.81 Cr in urban areas. The Mobility of the physically disabled or crippled people is a great concern of the society. It is truly difficult to understand the problems and sorrows of a physically disabled or crippled human being who has been partially or fully dependent on others or confining himself in a wheelchair with limited mobility. The main aim of Solar Operated Tricycle (SOT) is increase mobility among the physically disable. In this proposed method tricycle is operated by two ways,one is manually withminimum effort and another one is electrically. The solar powered tricycle is mainly used in a place where there is no electricity. After analyzing the problems spaced by the disabled persons, the design specifications of the tricycle were carried out. The SOT provides more safety and comfort to the physically challenged person.
Keywords: Solar tricycles, Photovoltaic cells, battery chargers, microcontrollers, Electric vehicles
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[2] Anon Namin, EkkachaiChaidee, ThawatchaiPrachuabroek,Teerapong Jumpoo and NikomThamapanya,” Solar Tricycle with Lateral Misalignment Maximum Power Point Tracking Wireless Power Transfer”, International Conference on Electrical Engineering / Electronics, Computer, Telecommunications and Information Technology, 2018.
[3] Mohamed Dahbi, Said Doubabiand Ahmed Rachid,” Autonomy analysis of a solar electric tricycle”, International Renewable and Sustainable Energy Conference, 2015.
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[6] D. Thiruvonasundari and K. Deepa,” Electric Vehicle Battery Modelling Methods Based on State of Charge– Review”, Journal of Green Engineering, Vol.10, no.1, pp.24-61, 2020.
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[13] Deepesh S Kanchan and NiranjanHadagali,” Bidirectional DC/DC converter system for solar and fuel cell powered hybrid electric vehicle”, Annual International Conference on Emerging Research Areas: Magnetics, Machines and Drives, 2014.
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[15] S. Conti, S. Di Mauro, A. Raciti, S. A. Rizzo, G. Susinni, S. Musumeci and A. Tenconi,”Solar electric vehicles: state-of-the-art and perspectives”, AEIT International Annual Conference, 2018.
[16] Dr. P. S. Raghavendran, T. Abinaya, P. Karthikeyan,” Testing and Analysis of Li-Ion Battery for Electric Vehicles Application”, International Journal of Scientific & Technology Research, Vol.9, no.2, pp.937-941, 2020.
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[18] Chen Duan, Caisheng Wang,” A Solar Power-Assisted Battery Balancing System for Electric Vehicles”, IEEE Transactions on Transportation Electrification, Vol.4,no.2, pp. 432 – 443, 2018.
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Optimal Energy Allocation and Sizing in EVs for Hybrid Energy Storage System Consisting Battery and Super Capacitor
1Jiten K Chavda, 2Varsha A Shah, 3Jugal R Shah
1Assistant Professor, Department of Electrical, LDCE, Ahmedabad, India.
2Professor, Department of Electrical, SVNIT, Surat, India.
3PG Student, Department Of Electrical, LDCE, Ahmedabad, India.
Pages: 1035-1052
Abstract: [+]
In the modern era of technology urging of urban traveling is notably increase. One of the best solutions is to fulfill this requirement of urbanized transportation Electric Vehicles that could be the best in all. The key problems associated with the short life span and less cost-effectiveness of batteries lead to the constrain in the expansion and establishment of electric vehicles in the market. Over the years to resolve these preceding problems regarding enhancement of both range and lifespan of battery, hybrid energy storage system (HESS) which using both battery and supercapacitor was propound to achieve maximum efficiency. Hybrid Energy Storage System appears promising due to its potential utilization of each operational benefit of both (battery and supercapacitor). As on the fact, the technology of storage such as the power of continuous supply of energy over a long period by the battery is due to its high density of energy, and peak power with rapid response by supercapacitor is due to its high density of power. For the designing and development of multisource Electric vehicles, Hybrid Energy Storage System regulated by a new generation smart energy management strategy plays a vital role. Ruled based filter method and Particle swarm optimization technique are used to raise the sizing of battery and supercapacitor and also to decrease battery power stress with improvement throughout its lifespan.
Keywords: Battery, supercapacitor/ultracapacitor, electric vehicle, hybrid energy storage system
| References: [+]
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[2] S. Dusmez and A. Khaligh, "A Supervisory Power-Splitting Approach for a New Ultracapacitor–Battery Vehicle Deploying Two Propulsion Machines," in IEEE Transactions on Industrial Informatics, vol. 10, no. 3, pp. 1960-1971, Aug. 2014.
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[5] E. Schaltz, A. Khaligh and P. O. Rasmussen, "Influence of Battery/Ultracapacitor Energy-Storage Sizing on Battery Lifetime in a Fuel Cell Hybrid Electric Vehicle," in IEEE Transactions on Vehicular Technology, vol. 58, no. 8, pp. 3882-3891, Oct. 2009.
[6] Raghavaiah Katuri, G. Srinivasa Rao, “Design of Math Function-Based Controller for Smooth Switching of Hybrid Energy Storage System” Majlesi Journal of Electrical Engineering, vol.12, no.2, pp. 47-53, June 2018.
[7] Ali Castaings, Walter Lhomme, Rochdi Trigui , Alain Bouscayrol, “Comparison of energy management strategies of a battery/supercapacitors system for electric vehicle under real-time constraints”, Applied Energy,vol. 163,pp 190–200, 2016.
[8] L. Guzzella and A. Sciarretta, “Vehicle Propulsion Systems: Introduction to Modeling and Optimization”, Berlin, Germany: Springer-Verlag, 2013.
[9] Jiten K. Chavda, V A Shah, “Combined Sizing & Energy Management of Hess For an Electric Vehicle by PSO With Novel Power Sharing Control Strategy” International Journal of Innovative Technology and Exploring Engineering, Vol.8, no.6, pp. 676-681, April 2019
[10] Jiten K. Chavda, V A Shah, “Energy Management of an Electric Vehicle by Hybrid Energy Storage System with Novel Control Strategy” Journal of Advance Research in dynamical & control systems, Vol.11, no.4, pp.1924-1943, April 2019
[11] D. Graovac, M. Prschel, and A. Kniep, “Mosfet Power Losses Calculation Using the Datasheet Parameters”, Infineon Technologies AG, Neubiberg, Germany, 2006.
[12] Rui Esteves Araújo, Ricardo de Castro, Cláudio Pinto, Pedro Melo, Diamantino Freitas, “Combined Sizing and Energy Management in EVs With Batteries and Supercapacitors”. IEEE Transaction on Vehicular Technology, Vol. 63, No. 7, pp 3062-3076, September 2014.
[13] Kursad, and Ayhan Ozdemir, "A Rule Based Power Split Strategy for Battery/Ultracapacitor Energy Storage Systems in Hybrid Electric Vehicles," International Journal of Electrochemical Science, vol. 11, no. 1, pp. 1228-1246, 2016.
[14] A. L. Allegre, A. Bouscayrol, and R. Trigui, “Influence of control strategies on battery/supercapacitor hybrid energy storage systems for traction applications,” in Proc. IEEE VPPC, pp. 213–220, 2009.
[15] C. R. Akli, X. Roboam, B. Sareni, and A. Jeunesse, “Energy management and sizing of a hybrid locomotive,” in Proc. Eur. Conf. Power Electron Appl.,pp. 1–10, 2007.
[16] J. Curti, X. Huang, R. Minaki, and Y. Hori, “A simplified power management strategy for a supercapacitor/battery hybrid energy storage system using the half-controlled converter,” in Proc. 38th Annu. Conf. IEEE Ind. Electron. Soc., pp. 4006–4011,2012.
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An Efficient Botnet Detection Approach for Green IoT Devices Using Machine Learning Techniques
1M.Shobana and 2S.Poonkuzhali
1Research Scholar, Department of Information Technology, Rajalakshmi Engineering College, Chennai, India.
2Professor, Department of Information Technology, Rajalakshmi Engineering College, Chennai, India.
Pages: 1053–1076
Abstract: [+]
In this internet era, Internet of things (IoT) is expanding at an accelerating pace connecting billions of devices in our daily life. As more and more, green IoT devices are connected, securing IoT systems presents a number of unique challenges such as spoofing attacks, intrusions, denial of service (DoS) attacks, and distributed denial of service (DDoS) attacks, jamming, eavesdropping and malwares. This research work focus on malware detection. The majority of the malware which affects the IoT devices are botnets. These botnets are capable to produce a large amount of DDoS flood over its network. Recently Malware Detection using Machine Learning algorithms is gaining prominence to detect anomaly in the network traffic successfully. In this work, density based outlier detection technique is deployed to cluster botnet traffic and the normal traffic separately. Furthermore, these clusters are classified by SVM, Decision Tree and Naïve Bayes. The clustering and classification phase of this model is trained and tested using N-BaIoT dataset. The experimental result shows that almost 99.9% accuracy and can successfully detect MIRAI and BASHLITE attacks.
Keywords: Clustering, Classification, DBSCAN, IoT malware, outlier detection
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[9] Azmoodeh. A, Dehghantanha.A, Choo. K. K. R, “ Robust malware detection for internet of (battlefield) things devices using deep eigenspace learning”, IEEE Transactions on Sustainable Computing, Vol.4, no.1, pp. 88-95, 2018.
[10] Pajouh. H. H, Javidan. R, Khayami. R, Ali. D, Choo. K. K. R, “A two-layer dimension reduction and two-tier classification model for anomaly-based intrusion detection in IoT backbone networks”, IEEE Transactions on Emerging Topics in Computing, ,Vol.7,no.2, pp.314-322, 2016.
[11] Nõmm. S, Bahşi. H, “Unsupervised Anomaly Based Botnet Detection in IoT Networks”, International Conference on Machine Learning and Applications (ICMLA), Orlando, FL, USA, pp. 1048-1053, 2018.
[12] Shafi. Q, Basit. A, Qaisar. S, Koay. A, Welch. I, “Fog-Assisted SDN Controlled Framework for Enduring Anomaly Detection in an IoT Network”, IEEE Access, Vol.6, pp.73713-73723, 2018.
[13] Nguyen. T. G, Phan. T. V, Nguyen. B. T, So-In. C, Baig. Z, Sanguanpong. S, “SeArch: A Collaborative and Intelligent NIDS Architecture for SDN-Based Cloud IoT Networks”, IEEE access, Vol.7, pp.107678-107694, 2019.
[14] Hosseinpour. F, Vahdani Amoli. P, Plosila. J, Hämäläinen. T, Tenhunen. H, “An intrusion detection system for fog computing and IoT based logistic systems using a smart data approach”, International Journal of Digital Content Technology and its Applications, Vol.10, No.5, pp.34-46, 2016.
[15] Thaseen.I, Sumaiya, and Chaswani Kumar. "Intrusion detection model using fusion of PCA and optimized SVM", International Conference on Contemporary Computing and Informatics (IC3I), IEEE, Mysore, India, pp. 879-884, 2014.
[16] Abbas. M. F. B, Srikantha. T, “Low-complexity signature-based Malware detection for IoT devices”, International Conference on Applications and Techniques in Information Security, pp. 181-189, 2017.
[17] Habibi. J, Midi. D, Mudgerikar. A,& Bertino. E, “Heimdall: Mitigating the internet of insecure things”, IEEE Internet of Things Journal, Vol. 4, no.4, pp.968-978, 2017.
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[22] Slay. J, “Towards Developing Network Forensic Mechanism for Botnet Activities in the IoT Based on Machine Learning Techniques”, International Conference of Mobile Networks and Management MONAMI, Melbourne, Australia, pp 30-44,2017.
[23] Dao, N. N, Phan, T. V, Kim.J, Bauschert. T, Cho. S, “Securing Heterogeneous IoT with Intelligent DDoS Attack Behavior Learning”, arXiv preprint arXiv:1711.06041, 2017.
[24] Ozcelik. M, Chalabianloo. N, Gur. G, “Software-Defined Edge Defense Against IoT-Based DDoS”, IEEE International Conference on Computer and Information Technology(CIT), Helsinki, Finland, pp. 308-313, 2017.
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[29] Kumar. A, Lim. T. J, “EDIMA: Early Detection of IoT Malware Network Activity Using Machine Learning Techniques”, arXiv preprint arXiv:1906.09715, 2019.
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Optimization of Resource Aware Task-Scheduling Approaches in Cloud Computing
1R. Krishan and 2V. Kumar
1Professor, Department of Computer Science, Punjabi University Guru Kashi College, Punjab, India.
2Research Scholar, Department of Computer Science, Punjabi University, Patiala, Punjab, India
Pages: 1077–1096
Abstract: [+]
In scientific computing operations, the concept of workflow scheduling optimization is the most difficult task that requires no compromise in the quality of service as defined by the user while workflow execution cost and workflows are to be minimized by keeping in the mind the QoS requirements of the user such as project executional cost and project deadline and improving the simulation performance of energy parameters. Various cost optimization techniques have been suggested to make the economic aspect of SWFS better in the environment of cloud computing. Initial objective of the paper is its wide-ranging literature review that centers around approaches for supporting cost improvement with regards to SWFS in cloud and grid computing. Additionally, give significant guidance and examination to comprehend the SWFS cost optimization approaches. This second objective of this paper is to study problems linked with cost optimization in SWFS by broadly reviewing currently available SWFS methods both in grid and cloud computing and give viewpoints on parameters and cost optimization of SWFS. Paper additionally gives an examination of cost parameters that are dependent on different scheduling stages. Furthermore, each plan is represented and a total contrast of them is introduced to focus on their objectives, properties and short comes. At last, the final comments and future research guidelines are given.
Keywords: Optimization, energy, Workflow Scheduling, Cloud computing, Virtual Machines, Quality of service.
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[2] Alkhanak, Ehab Nabiel, Sai Peck Lee, and Saif Ur Rehman Khan,"Cost-aware challenges for workflow scheduling approaches in cloud computing environments: Taxonomy and opportunities", Future Generation Computer Systems, Vol.50, no.4, pp.3-21, 2015.
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[7] Zhao, Shuang, Xianli Lu, and jun Li,"Quality of service-based particle swarm optimization scheduling in cloud computing", In Proceedings of the 4th International Conference on Computer Engineering and Networks Vol. 3, no.4, pp. 235-242, 2015.’
[8] Christabel, M., S. Tamil Selvin, and Shalin Benedict, "Efficient scheduling of scientific workflows with energy reduction using novel discrete particle swarm optimization and dynamic voltage scaling for computational grids" ,The Scientific World Journal, 2015
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[11] Amalarethinam, D. G., and T. Lucia Agnes Beena, "Workflow Scheduling for Public Cloud Using Genetic Algorithm (WSGA)", IOSR Journals (IOSR Journal of Computer Engineering) ,Vol 1, no. 18, pp.23-27, 2016
[12] Meena, Jasraj, Malay Kumar, and Manu Vardhan,"Cost effective genetic algorithm for workflow scheduling in cloud under deadline constraint." IEEE Access, Vol 4, no.4, pp.5065-5082, 2016.
[13] Milani, Alireza Sadeghi, and Nima Jafari Navimipour,"Load balancing mechanisms and techniques in the cloud environments: Systematic literature review and future trends", Journal of Network and Computer Applications Vol.71, no. 4,pp.86-98, 2016
[14] Li, Zhongjin, Jidong Ge, Hongji Yang, Liguo Huang, Haiyang Hu, Hao Hu, and Bin Luo,"A security and cost aware scheduling algorithm for heterogeneous tasks of scientific workflow in clouds", Future Generation Computer Systems, Vol. 65, no. 3, pp.140-152, 2016.
[15] Masdari, M., ValiKardan, S., Shahi, Z. and Azar, S.I, "Towards workflow scheduling in cloud computing: a comprehensive analysis. " Journal of Network and Computer Applications, Vol.66, no.3, pp.64-82, 2016.
[16] HUANG, Ting-ting, and Yi-wen LIANG,"An Improved Simulated Annealing Genetic Algorithm for Workflow Scheduling in Cloud Platform", Microelectronics and Computer Vol 33, no. 1, pp. 42-46, 2016.
[17] Vaezi, Mojtaba, and Ying Zhang,” Cloud mobile networks”, Springer, Vol. 5. No.3,pp. 23-37,2017.
[18] Xiang, B., Zhang, B. and Zhang, L, "Greedy-Ant: Ant colony system-inspired workflow scheduling for heterogeneous computing. " ,Vol. 5, pp.11404-11412, 2017
[19] Chirkin, Artem M., Adam SZ Belloum, Sergey V. Kovalchuk, Marc X. Makkes, Mikhail . Melnik, Alexander A. Visheratin, and Denis A. Nasonov,"Execution time estimation for workflow scheduling." Future generation computer systems, Vol 75, pp.376-387, 2017.
[20] Soltani, Nasim, Behzad Soleimani, and Behrang Barekatain, "Heuristic algorithms for task scheduling in cloud computing: a survey", International Journal of Computer Network and Information Security Vol. 11, no. 8, pp.16-25, 2017
[21] Sadhasivam, N., and P. Thangaraj, "Design of an improved PSO algorithm for workflow scheduling in cloud computing environment", Intelligent Automation & Soft Computing Vol. 23, no. 3, pp.493-500, 2017
[22] Liu, Li, Miao Zhang, Rajkumar Buyya, and Qi Fan, "Deadline‐constrained coevolutionary genetic algorithm for scientific workflow scheduling in cloud computing", Concurrency and Computation: Practice and Experience, Vol 29, no. 5, pp. 3942-3950, 2017.
[23] Singh, Harshpreet, and Rajneesh Randhawa, "Cuckoo search-based workflow scheduling on heterogeneous cloud resources", In 2017 7th International Conference on Cloud Computing, Data Science & Engineering-Confluence Vol. 34, no. 6,pp. 65-70, 2017.
[24] Prathibha, Soma, B. Latha, and G. Suamthi, "Particle swarm optimization-based workflow scheduling for medical applications in cloud",An International Journal of Medical Sciences, Vol. 23, no. 7, pp 123-134 ,2017.
[25] Choudhary, Anubhav, Indrajeet Gupta, Vishakha Singh, and Prasanta K. Jana, "A GSA based hybrid algorithm for bi-objective workflow scheduling in cloud computing.", Future Generation Computer Systems, vol. 83, pp.14-26, 2018.
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Online Multiple Kernel Learning Approach for Healthcare Application in Green Cloud Computing
1A.Kousalya, 2K.Karpagavadivu, 3A.Devipriya , 4P.Sindhuja
1Associate Professor, Department of Information Technology, Sri Krishna College of Engineering and Technology, Coimbatore, India.
2Assistant Professor, Department of Information Technology, Banari Amman Institute of Technology, India.
3Associate Professor, Department of Information Technology, Sri Krishna College of Engineering and Technology, Coimbatore, India.
4Assistant Professor, Department of Computer Science and Engineering, United Institute of Technology, Coimbatore, India.
Pages: 1097–1108
Abstract: [+]
The validation in the spinal canal Magnetic Resonance (MR) picture was fundamentally the revision of a variety of neurological illness, this mainly outputs of malfunctioning in Central Nervous Function, similar to Multiple Sclerosis (MS), wherein spinal canal deteriorate then also react in the category to measure the assessment of the collisions of grateful neuro-shielding treatments. Considerably smaller size in the spinal canal leads to manual segmentations. Since the manual segmentation process analyses huge amount of data, the system becomes expensive, tedious and time consuming. Automatic spinal canal segmentation methods have to be developed to overcome the above mentioned setbacks. The proposed work, specifying automated spinal canal segmentation is carried out using MR and Computer Tomography (CT) datasets. Different algorithms for segmentation of spinal canal through Monte carlo markav chain (MCMC) and online multiple kernel learning. These techniques have been utilized and their performance measured. This work has been done using Green cloud computing.
Keywords: Spinal Canal, Online multiple kernel learning, Monte Carlo markav chain, segmentation, Cloud Computing,
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Recent Developments in D2D Communication in Cellular Networks
1M. Kumar and 2A.Kavitha
1Assistant Professor, Department of Electronics and Communication Engineering, Er.Perumal Manimekalai College of Engineering, Hosur, Tamilnadu, India.
2Professor, Department of Electronics and Communication Engineering, Vel Tech Multi Tech Dr. Rangarajan Dr. Sakunthala Engineering College, Chennai, Tamilnadu, India.
Pages: 1109–1122
Abstract: [+]
This paper gives us the detailed information about Device-to-Device (D2D) communication techniques and how it is being used in the cellular networks. D2D technique enables the users to exchange information between nearby places without using the base stations and mobile switching centers. At first in the development of this system has planned to use it with mobile communication by which spectral density improvement and the delay reduction can be achieved in the communication. Then it is known that this D2D communication becomes inevitable due to following reasons, less traffic for base stations which reduces the delay, increased energy efficiency and avoids congestion in the cellular network communication. Since many mobile devices like tablet, computers and smart phones are used today which increased the network traffic and so the study in recent technologies of D2D communication will give a way to find the suitable techniques that even more improves the performance metrics in paradigm.
Keywords: D2D Communication,D2D Protocols,Relay assignment, Spectral efficiency, Traffic offloading
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[1] Arash Asadi and Vincenzo Mancuso, “WiFi Direct and LTE D2D in action,” in Proceedings of IEEE Wireless Days(WD),pp13-15, 2013.
[2] Udit Narayana Kar, and Debarshi Kumar Sanyal, “An overview of device-to-device communication in cellular networks”, ICT Express, Vol. 4, pp. 203–208, 2018
[3] M.N. Tehrani, M. Uysal, H. Yanikomeroglu, “Device-to-device communication in 5G cellular networks: challenges, solutions, and future directions”, IEEE Communications. Magazine, Vol. 52, no. 5 , pp. 86–92, 2014,
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[9] P. Gandotra, R.K. Jha, S. Jain, “A survey on device-to-device (D2D) communication: Architecture and security issues”, Journal of Network and Computer Applications, Vol.78, pp. 9–29, 2017.
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[14] Y. Zhao, R. Adve and T. Lim, “Improving amplify-and-forward relay networks: optimal power allocation versus selection”, IEEE Transactions Wireless Communications,Vol. 6, no.8, pp.3114–3123, 2007.
[15] B. Raghothaman, E. Deng, R. Pragada, G. Sternberg, T. Deng, and device communication,” Proceedings of International Conference on Computing, Networking and Communications (ICNC), IEEE,pp 895-899,2013.
[16] Furqan Jameel, Zara Hamid, Farhana Jabeen, Sherali Zeadally and Muhammad Awais Javed,” A survey on device-to-device communications:Research Issues and Challenges” IEEE Communications Surveys & Tutorials, Vol. 20, no. 3, pp. 2133–2168, 2018
[17] Q. Wang, B. Rengarajan, and J. Widmer, “Increasing opportunistic gain - in small cells through energy-aware user cooperation,” IEEE transactions on Wireless Communication, Vol.13, no. 11, pp.6356- 6369, 2014.
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Analysis of Energy Efficient Algorithm for Privacy in Mobile Cloud
1M.Sankari, 2P.Ranjana, 3Y.S Kalaivani
1Research Scholar, Department of Computer Science and Engineering, Hindustan Institute of Technology and Science, Chennai, India.
2Professor, Department of Computer Science and Engineering, Hindustan Institute of Technology and Science, Chennai. India.
3Research Scholar, Department of Computer Science and Engineering, Hindustan Institute of Technology and Science, Chennai, India.
Pages: 1123–1138
Abstract: [+]
For the development of the mobile field, data privacy is the most important challenge while outsourced the data to the cloud storage. The proposed paper discusses about the various energy-efficient algorithms, methodologies, mechanisms, used for securing the mobile’s cloud data. It is essential to understand the security of mobile data with ensuring data privacy. The literature survey of energy-efficient security mechanisms focuses on (1) improving the efficiency of mobile devices, (2) reducing the CPU resources, (3) reducing the cost of bandwidth usage and (4) maintaining the authentication in mobile cloud. It recommends ensuring confidentiality, authorization, integrity, data privacy, availability of user’s data. The proposed paper aims to provide a descriptive summary of security mechanisms suitable for privacy and explained with the table form. It clearly enforces the security parameters and makes direction for future research in mobile cloud storage.
Keywords: Authentication, Data Privacy, Energy Efficient algorithm, Mobile cloud, Encryption Algorithm.
| References: [+]
[1] M. Sankari and P. Ranjana, "PLIE- A Light-weight Image Encryption for data Privacy in mobile cloud storage," International journal of engineering and technology(UAE), vol. 7, no. 4.36, pp. 368-72, 2019.
[2] M. Sankari, P. Ranjana and D. Venkata Subramanian, "Iprivacy-Performance Measurement of Encrypted Image Over Mobile Cloud," International Journal of Recent Technology and Engineering (IJRTE), vol. 8, no. 4, pp. 2919-23, Nov 2019.
[3] M. Sankari and P. Ranjana, "Privacy-Preserving Lightweight Image Encryption in Mobile Cloud," Advances in Intelligent Systems and Computing, bangalore,pp. 403-414, 2019.
[4] G. Singh and Supriya, "A Study of Encryption Algorithms (RSA, DES, 3DES and AES) for Information Security," International Journal of Computer Applications , vol. 67, no. 19, pp. 33-38, 2013.
[5] P. M. Modak and D. V. Pawar, "A Comprehensive Survey on Image Scrambling Techniques," International Journal of Science and Research (IJSR), vol. 4, no. 12, pp. 814-18, 2015.
[6] Yamini jain et al., "Image Encryption Schemes:A Survey," International Journal of Signal Processing, Image Processing and Pattern Recognition, vol. 9, no. 7, pp. 157-192, 2016.
[7] Ali E.Taki et al., "Digital Image Encryption based on RSA Algorithm," IOSR Journal of Electronics and Communiication Engineering(IOSR-JECE), vol. 9, no. 1, pp. 69-73, jan 2014.
[8] S. Zickau, F. Beierle and I. Denisow, "Securing Mobile Cloud Data with Personalized Attribute-Based Meta Information," in 3rd IEEE International Conference on Mobile Cloud Computing, Services, and Engineering, San Francisco, CA,pp 205-201, 2015.
[9] Y. Xie, H. Wen, B. Wu, Y. Jiang and J. Meng, "A Modified Hierarchical Attribute-Based Encryption Access Control Method for Mobile Cloud Computing," vol. 7, no. 2, pp. 383-91, 1 april 2014.
[10] A. Rassan and H. AlShaher, "Securing Mobile Cloud Computing Using Biometric Authentication (SMCBA)," in International Conference on Computational Science and Computational Intelligence (CSCI),pp.157-161, 2014.
[11] A. Ahmad, M. M. Hassan and A. Aziz, "A Multi-token Authorization Strategy for Secure Mobile Cloud Computing," in 2nd IEEE International Conference on Mobile Cloud Computing, Services, and Engineering, Oxford, pp. 136-141,2014.
[12] M. Bahrami and M. Singhal, "A Light-Weight Permutation Based Method for Data Privacy in Mobile Cloud Computing," in 3rd IEEE International Conference on Mobile Cloud Computing, Services, and Engineering (MobileCloud), San Francisco, CA.,pp. 189-98, 2015.
[13] M. Bahrami and M. Singhal, "CloudPDB: A light-weight data privacy schema for cloud-based databases," 2016 International Conference on Computing, Networking and Communications (ICNC), pp. 1-5,, 2016.
[14] M. Bahrami, D. Li, M. Singhal and A. Kundu, "An Efficient Parallel Implementation of a Light-weight Data Privacy Method for Mobile Cloud Users," Seventh International Workshop on Data-Intensive Computing in the Clouds (DataCloud), pp. 191-95, 2016.
[15] M. Bahrami, A. Khan and M. Singhal, "An Energy Efficient Data Privacy Scheme for IoT Devices in Mobile Cloud Computing," in IEEE International Conference on Mobile Services (MS), San Francisco, CA,pp. 190-95, 2016.
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Low Power Methodologies for Improving and Targeting the Power-Intent Using Unified Power Format
1N M Nagesh, 2M.Nagabushanam, 3J N Swaminathan
1Department of ECE, Ramaiah Institute of Technology, Bangalore, India.
2Assistant Professor, Department of ECE, Ramaiah Institute of Technology, Bangalore, India.
3Professor, Department of ECE, QIS College of Engg & Technology, A.P,India.
Pages: 1139–1154
Abstract: [+]
As the Technology scales, loss of power in devices also goes on increasing, Dynamic loss of power due to switching action of the transistor states, so major challenge or key parameter is the Power, but power parameter should not affect the performance of the Device operation, so this Paper mainly focuses on the software implementation of the Design Targeting the power intent (UPF) and also demonstrates how the UPF models can be used to address the problems faced by the conventional adders in terms of area, power. The power intent is designed at relatively high level of hierarchy which describes which power rails must be routed to the specified block when required and the power is isolated from those unused blocks, as the signal crosses from one power domain to another power domain the power intent also describes the shift in voltage levels.
Keywords: Unified Power Intent, Conventional Carry Look ahead Adder, Hybrid Carry Look ahead Adder, Section Based Carry Look ahead Adder, Hybrid Section Based Carry Look ahead Adder
| References: [+]
[1] A.R. Omondi, “Computer Arithmetic Systems: Algorithms, Architecture and Implementations”, Prentice-Hall International, London, 1994.
[2] B. Parhami, “Computer Arithmetic: Algorithms and Hardware Designs”, Oxford University Press, New York, 2000.
[3] G.A. Ruiz, “New static multi-output carry look ahead CMOS adders”, IEEE Proceedings of Circuits, Devices and Systems, vol. 144, no. 6,pp. 350-354, 1997.
[4] J.B. Kuo, H.J. Liao, H.P. Chen, “Dynamic carry look ahead adder circuit for VLSI implementation of high-speed arithmetic unit”, IEEE Journal of Solid-State Circuits, vol. 28,no. 3, pp. 375-378, 1993.
[5] C.-C. Wang, C.-C. Huang, C.-L. Lee, T.-W. Cheng, “A low power high-speed 8-bit pipelining CLA design using dual-thresholdvoltage domino logic”, IEEE Trans. VLSI Systems, vol. 16, no. 5, pp. 594-598, 2008.
[6] V. Kokilavani, P. Balasubramanian, H.R. Arabnia, “FPGA realization of hybrid carry select-cum-section-carry based carry lookahead adders”, Proc. 12th International Conference on Embedded Systems and Applications, pp. 81- 85, 2014.
[7] V. Kokilavani, K. Preethi, P. Balasubramanian, “FPGA-based synthesis of high-speed hybrid carry select adders,” Advances in Electronics, vol. 2015, pages 1-13, May 2015.
[8] P. Balasubramanian, N.E. Mastorakis, “High speed gate level synchronous full adder designs,” WSEAS Transactions on Circuits and Systems, vol. 8, no. 2, pp. 290-300, 2009.
[9] P. Balasubramanian, N.E. Mastorakis, “A delay improved gate level full adder design,” Proc. 3rd European Computing Conference, pp. 97- 102, 2009.
[10] G. Yang, S.-O. Jung, K.-H. Baek, S.H. Kim, S.Kim, S.-M. Kang, “A 32-bit carry look ahead adder using dual-path all-N logic,” IEEE Trans.VLSI Systems, vol. 13, no. 8, pp. 992-996, 2005.
[11] R. Zlatanovici, S. Kao, B. Nikolic, “Energy delay optimization of 64-bit carry-look ahead adders with a 240ps 90nm CMOS design example,” IEEE Journal of Solid-State Circuits, vol. 44, no. 2, pp. 569-583, 2009.
[12] A. Blotti, R. Saletti, “Ultra low-power adiabatic circuit semi-custom design,” IEEE Trans. VLSI Systems, vol. 12, no. 11, pp. 1248-1253, 2004.
[13] J. Lim, D.-G. Kim, S.-I. Chae, “A 16-bit carry look ahead adder using reverse energy recovery logic for ultra-low-energy systems,” IEEE Journal of Solid-State Circuits, vol. 34, no. 6,pp. 898-903, 1999.
[14] A. Morgenshtein, V. Yuzhaninov, A.Kovshilovsky, A. Fish, “Full-swing gate diffusion input logic – case-study of low power CLA adder design,” Integration, vol. 47, no. 1, pp. 62-70, 2014.
[15] Venkatesh Gourisetty, Hamid Mahmoodi, Vazgen Melikyan, Eduard Babayan, Rich Goldman,Katie Holcomb, Troy Wood ,"Low power design flow based on Unified Power Format and Synopsys tool chain," 3rd Interdisciplinary Engineering Design Education Conference, Santa Clara, CA, pp. 28-31 , 2013.
[16] Emilie Garat, David Coriat Edith, Beigné , Leandro Stefanazzi "Unified Power Format (UPF) methodology in a vendor independent flow," 25th International Workshop on Power and Timing Modeling, Optimization and Simulation (PATMOS), Salvador, pp. 82-88, 2015.
[17] V. Gourisetty, H. Mahmoodi, V. Melikyan, E. Babyan, R. Goldman, K. Holcomb, T. Wood, "Low power design flow based on Unified Power Format and Synopsys tool chain", 3rd Interdisplinary Engineering Design Education Conference (IEDEC), pp. 28-31, 2013.
[18] R.R. Kulkarni, S.Y. Kulkarni, "Energy efficient implementation power aware simulation and verification of 16-bit ALU using Unified Power Format standard", International Conference on Advances in Electronics Computers and Communications, pp. 1-6, 2014.
[19] R. Koster, S. H. Prasad, S. Ramachandra, "Failing to fail- achieving Success in advanced low power design using UPF", International Symposium on Low Power Electronics and Design, pp. 137-138, 2014.
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Self-Diagnosis of COVID-19 Through Mobile App: Need of the Hour in Pandemic Situation
1B Sreelekha, 2Karthik Murugesan, 3S Usha, 4R Lalitha
1Assistant Professor,Department of Computer Science and Engineering, Rajalakshmi Institute of Technology, Chennai, India.
2Associate Professor, Department of Electrical and Electronics Engineering, Kongu Engineering College, Perundurai, Erode, Tamilnadu, India.
3Associate Professor, Department of Electrical and Electronics Engineering, Kongu Engineering College, Perundurai, Erode, Tamilnadu, India.
4Professor, Department of Computer Science and Engineering, Rajalakshmi Institute of Technology, Chennai, TamilNadu, India.
Pages: 1155–1166
Abstract: [+]
Recent pandemic situation have clearly shown us how rapidly a newdisease can take root and cause a huge damage to humanity. COVID-19 is one such disease that was born in Wuhan-China, spreading quickly across the world and terrorizing the entire world. Even the most advanced countries can’t able to find a solution for this. Many countries have adopted various methods to curtail the disease through lockout and quarantine. As this is vigorously transmitting from person to person, people felt panic to step out of their houses. Even with common flue, people are getting stressed about the situation and they find difficulty in distinguishing the common flue and COVID-19. The present paper aims in helping such people to self-diagnose the disease from indoors and thereby avoiding a rush in hospital. To address this issue, a mobile Application is developed for Android, Black-Berry, IOS and windows OS platforms by using HTML, CSS and AngularJS. PhoneGap software development framework is used to develop the proposed mobile application. Further, location tracking is accomplished through GPS and also a Unified Mass Notification System can be used to deliver alerting messages.
Keywords: COVID-19, Quarantine, Location tracking, Unified Mass notification, PhoneGap
| References: [+]
[1] Kluge, Hans Henri P., Zsuzsanna Jakab, Jozef Bartovic, Veronika D’Anna, and Santino Severoni, “Refugee and Migrant Health in the COVID-19 Response”, The Lancet, Vol. 395, no.10232, pp.1237–39, 2020.
[2] Norwegian Refugee Council. 10 things you should know about coronavirus and refugees. https://www.nrc.no/news/2020/march/10-things-you-should-know-about-coronavirus-and-refugees.
[3] Naina S Thorat, Dr. R. V Kulkarni, “A Review- Role of Mobile Application for Medical Services”, International Journal of Trend in Scientific Research and Development, Special Issue, no.3, pp.43-45, 2019.
[4] Ekwonwune Emmanuel Nwabueze and Onuoha Oju, “Using Mobile Application to Improve Doctor-Patient Interaction in Health care Delivery System”, E-Health Telecommunication Systems and Networks, Vol. 8, no. 3, pp.23-34, 2019.
[5] Obulor, R. and Eke, B.O., “outpatient queuing model development for hospital appointment system”, International Journal of Scientific Engineering and Applied Science Vol.2, no. 4, pp.15-22, 2016.
[6] Steinhubl, S.R., Muse, E.D. and Topol, E.J., “The emerging field of mobile health”, Science translational medicine, Vol.7, no.283, pp.283rv3, 2015.
[7] Ayanthi Saranga Jayawardena, “The Electronic Hospital Information System Implemented at the District General Hospital Trincomalee-An Experience of Business Process Reengineering”, Journal of Community Medicine & Health Education, Vol.S2, no.1, pp. 1-7, 2014.
[8] Ventola, C. Lee. “Mobile devices and apps for health care professionals: uses and benefits”, Pharmacy and Therapeutics”, Vol.39, no. 5, pp.356, 2014.
[9] Wani, Swabik Musa Abdulla and Suresh Sankaranarayanan, “Intelligent Mobile Hospital Appointment Scheduling and Medicine Collection”, International Journal of Computer and Communication System Engineering, Vol.1, no.2, pp.47-58, 2014.
[10] Divall, Pip, Janette Camosso-Stefinovic and Richard Baker, “The use of personal digital assistants in clinical decision making by health care professionals: a systematic review”, Health informatics journal, Vol.19, no. 1, pp.16-28, 2013.
[11] Sclafani, Joseph, Timothy F. Tirrell and Orrin I. Franko, “Mobile tablet use among academic physicians and trainees”, Journal of medical systems, Vol. 37, no. 1 pp.9903, 2013.
[12] Martínez-Pérez, Borja, Isabel De La Torre-Díez and Miguel López-Coronado, “Mobile health applications for the most prevalent conditions by the World Health Organization: review and analysis”, Journal of medical Internet research, Vol. 15, no. 6, pp.e120, 2013.
[13] Prithiviraj, Venkatapathy, Bharani Kumar Gnanasekaran, Mohan Kumar Murthy and Mohan Devanathan, “Enhancement of Emergency Telemedicine Diagnosis Using 3G+ Mobile Systems”, Journal of Green Engineering, Vol. 2, no. 2, pp.139-154, 2012.
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Sustainable Stabilization of Soil Using Wollastonite Powder
1,*P.T Ravichandran, 2P Sai Nikhil, 3K Divya Krishnan
1,*Professor, Department of Civil Engineering, SRM Institute of Science and Technology, Chennai, India.
2Post Graduate Student,Department of Civil Engineering, SRM Institute of Science and Technology, Chennai, India.
3Assistant Professor, Department of Civil Engineering, SRM Institute of Science and Technology, Chennai, India.
Pages: 1167–1181
Abstract: [+]
All over the world there are lots of places where clayey soil can be found. Design and construction of any kind of structure or pavement over this expansive and weak kind of soil is quite challengeable and problematic for geotechnical engineers. Enhancing the properties of expansible and weak soil has become a popular research topic in the present scenario, which prevents the need of replacement of the soil and could be established with chemical inclusion and sustainable method of stabilization. The present investigations includes the study on improvement in the characteristics of soil compaction, California Bearing Ratio (CBR) and swell behavior with the addition of Wollastonite Powder (WP) on two selected soil sample. From the study it was observed that with the addition of optimum amount of 12.5% of wollastonite powder increases the admixture impact ratio on CBR value more than 200 %. In addition, the Free-swell index of wollastonite powder treated soil showed a dropping instance with increase in growth of bonding between soil particles and admixture SEM micrographs also reveal reduction in pore spaces of the treated soil sample and structural change at micro level, which indicates the improvement in strength.
Keywords: Clayey Soil, Curing period Wollastonite Powder,Stabilization,Sustainable stabilisation
| References: [+]
[1] Hasan Md Mehedi, Islam Md, A. Tarefder, Rafiqul, “Characterization of Subgrade Soil Mixed with Recycled Asphalt Pavement”, Journal of Traffic and Transportation Engineering, Vol.5, no.3, pp. 207-214, 2018.
[2] Cuelho E.V, Perkins S.W., “Geosynthetic Subgrade Stabilization - Field Testing and Design Method Calibration”, Elsevier Transportation Geotechnics, Vol. 10, pp. 22-34, 2017.
[3] Divya Krishnan K. P.T. Ravichandran, V. Janani, R. Annadurai, Manisha Gunturi, “Effect of Phosphogypsum and Fly Ash Stabilisation on the Strength and Microstructure of Clay”, Indian Concrete Journal, Vol. 89, pp. 81-86, 2015.
[4] Divya Krishnan K, Ravichandran P.T, “Geotechnical Properties of Soil Stabilised with Wood Ah,” Journal of Mines, Metals and Fuels, SRM IST Special Issue II, pp. 191-194, 2018.
[5] Amir, Yaser Mohammadi Nosoudy, “Clay Stabilization Using Coal Waste and Lime - Technical and Environmental Impacts”, Applied Clay Science, Vol.116, pp. 281-288, 2015.
[6] Aref al-Swaidani, Ibrahim Hammoud, Ayman Meziab, “Effect of Adding Natural Pozzolana on Geotechnical properties of Lime-Stabilized Clayey Soil”, Journal of Rock Mechanics and Geotechnical Engineering, Vol. 8, pp.714-725, 2016.
[7] Dina A. Emarah, Safwat A. Seleem, “Swelling Soils Treatment Using Lime and Sea Water for Roads Construction”, Alexandria Engineering Journal, Vol. 57, no. 4, pp. 2357-2365, 2018.
[8] Asmaa Al-Take, Mandi. M. Disdain, Robert Evans, Arul Arulrajah and Suksun Horpibulsuk, “Swell-Shrink Cycles of Lime Stabilized Expansive Subgrade”, Advances in Transportation Geotechnics, Vol. 143, pp. 615-622, 2016.
[9] Fajobi A, Amu O. O, Afekhuai S.O, “Stabilizing Potential of Cement and Fly Ash Mixture on Expansive Clay Soil”, Journal of Applied Sciences, Vol. 5, no. 9, pp. 1669-1673, 2005.
[10] Hassnen Jafer, William Atherton, Monower Sadique, Felicite Ruddock Edward Loffill, “Stabilization of Soft Soil Using Binary Blending of High Calcium Fly Ash and Palm Oil Fuel Ash”, Applied Clay Science, Vol. 152, pp. 323-332, 2018.
[11] Haibin Wei, Yangpeng Zhang, Jiuhui Cui and Leili Han Ziqili, “Engineering and Environmental Evaluation of Silty Clay Modified by Waste Fly Ash and Oil Shale Ash as a Road Subgrade Material”, Construction and Building Materials, Vol.196, pp. 204-213, 2019.
[12] Suphat Chummuneerat, Peerapong Jitsangiam Hamid Nikraz, “Performances of Hydrated Cement Treated Crushed Rock Base for Western Australian Roads”, Journal of Traffic and Transportation Engineering, Vol.1, no. 6, pp. 432-438, 2014.
[13] Priyanga G, Divya Krishnan K, Ravichandran P.T, “Characteristics of Rubberized Soil with Ground Granulated Blast-Furnace Slag as Binder Material”, Materials Today, Proceedings 5, pp. 8685-8661, 2018.
[14] A.Seco, F.Ramirez, L.Miqueliez, B. Garcia, “Stabilization of Expansive Soils for Use in Construction”, Applied Clay Science, Vol. 51, pp. 348-382, 2011.
[15] Yas Mandloi, Anurag Das, Nisshad Bahekar, Divya Krishnan K, Ravichandran P.T, “Soil Stabilization Using Cement Kiln Dust”, Journal of Advanced Research in Dynamical and Control systems, Vol. 10, no. 11, pp. 384-389, 2018.
[16] Prakash Chavan and M.S. Nagakumar, “Studies on Soil Stabilization by Using Bagasse Ash”, International Journal of Scientific Research Engineering and Technology, Conference proceeding, pp, 89-94, 2014.
[17] Jayaraman M, Ravichandran P.T, “Stabilization of Problematic Soils Using Ultra Fine Sugarcane Baggase Ash”, Journal of Advance Research in Dynamical and Control Systems, Vol. 10, no.08, pp. 1018-1022, 2018.
[18] Oriola F, Moses, G, “Groundnut Shell Ash Stabilization of Black Cotton Soil”, Electronic Journal of Geotechnical Engineering, Vol. 15, pp. 415-428, 2010.
[19] AK Sabat, RP Nanda, “Effect of Marble Dust on Strength and Durability of Rice Husk Ash Stabilised Expansive Soil”, International Journal of Civil and Structural Engineering, Vol. 1, no. 4, pp. 939-948, 2011.
[20] Shahram Pourakbar, Afshin Asadi, Bujang B.K. Huat, Mohammad Hamed Fasihnikoutab, “Stabilization of Clayey Soil Using Ultrafine Palm Oil Fuel Ash (POFA) and Cement”, Transportation Geotechnics, Vol. 3, pp. 24-35, 2015.
[21] A. Mani Bharathi, P.T Ravichandran, K.Divya Krishnan, “Potential Use of Dolomite Hydrated Lime in Sustainable Strength Improvement of Clayey Soil”, Journal of Green Engineering, Vol. 9, no. 4, pp.489-501, 2019.
[22] K. Divya Krishnan, P. Kiruthika, P.T. Ravichandran, “Use of Wood Ash Waste to Stabilize Soils”, International Journal of Environment and Waste Management, Vol. 25, no.1, pp.112 – 120, 2020.
[23] Janani V, Ravichandran P.T. Thota Balaraju, “Use of Metakolin as Sustainable Material on Strength Characteristics of Problematic Soil”, Vol. SRM IST, Special Issue Part II, pp. 164-168,2018.
[24] Kamaraj N, Priyanka, Ravichandran P.T, “Study on Biostabilization of Problematic Soils”, The Indian Concrete Journal, Vol. 89, no. 7, pp. 87-94, 2015.
[25] IS: 2720 (Part 1), “Methods of Test for Soil - Preparation of Dry Soil Sample for Various Tests”, Bureau of Indian Standards, New Delhi, 1983
[26] IS: 2720 (Part 3), “Methods of Tests for Soil - Determination of Specific Gravity”, Bureau of Indian Standards, New Delhi, 1987.
[27] IS: 2720 (Part 4), “Methods of Tests for Soil - Determination of Grain Size Analysis”, Bureau of Indian Standards, New Delhi, 1985.
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[30] IS: 2720 (Part 7), “Methods of Tests for Soil - Determination of Water Content and Dry Density Relation by Light Compaction”, Bureau of Indian Standards, New Delhi, 1983.
[31] IS: 2720 (Part 15), “Methods of Tests for Soil – Determination of Free Swell Index of Soils”, Bureau of Indian Standards, New Delhi, 1977.
[32] IS: 2720 (Part 16), “Methods of Tests for Soil - Laboratory Determination of California Bearing Ratio", Bureau of Indian Standards, New Delhi, 1987.
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Planning and Environmental Legislation to Preserve Urban Agricultural Areas in Cities
Haider Majid Hasan
1Department of Architecture, Faculty of Engineering, Wasit University, Wasit, Iraq.
Pages: 1182–1192
Abstract: [+]
Urban agriculture in cities is an important part of urban management and plays an important role in creating new jobs, protecting the environment and contributing to sustainable development.Urban agriculture is rarely adopted in planning and policy formulation. It is necessary to develop new planning and environmental legislation to promote urban agriculture in cities by involving all stakeholders in the importance of urban agriculture in achieving the economic, social and environmental objectives of sustainable urban growth. The challenge of urban agriculture requires that urban agriculture become an integral part of urban environmental development, while areas of urban agricultural areas suffer from marginalization despite its fundamental role in cities.The research dealt with the impact of some of planning and environmental legislation on a number of urban agricultural areas in the city of Kut by converting large parts of it into residential areas, which adversely affected the environmental, planning, economic and social objectives of the master plan of city, through an analytical study of urban agricultural areas within the master plan of Kut city, which Affected by this legislation.
Keywords: urban, agriculture, planning legislation, master plan, urban management, economical aspect.
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[6] Dubbeling, Marielle. "Urban agriculture and feeding the Latin American and Caribbean cities: good practices and city consultation", final report, Vol 4,pp 44-49, 2001."
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[8] Mutonodzo, Charity, "The social and economic implications of urban agriculture on food security in Harare, Zimbabwe." Agriculture in urban planning: Generating livelihoods and food security, Vol 4,pp.73-89. 2009.
[9] Kaufman, Jerome L., and Martin Bailkey., "Farming inside cities: Entrepreneurial urban agriculture in the United States",. Cambridge, MA: Lincoln Institute of Land Policy, Vol 8,pp 234-240, 2000.
[10] Nugent, Rachel A., "Urban agriculture and the household economy" ,City Harvest-a Reader on Urban Agriculture, GTZ, Eschborn,Vol 5,pp 123-129,1999
[11] Echakara, Stephanie. "Determinants of Growth of Urban Agricultural Projects: Case of Lang’ata Subcounty" , Nairobi County, Kenya." University of Nairobi Vol 4,pp 45-49,2015.
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[13] Malika Amnouh," Legal and Judicial Protection of the Urban Area in Morocco" , Master Thesis in Contract and Real Estate Law, Morocco, p-2, 2011.
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Optimization Using Majority Selection Process in Identifying Missing Links in Green Cloud and Internet Exchange
1S.Vaithyasubramanian, 2K. Vengatakrishnan, 3C.K. Kirubhashankar, 4R. Delhi Babu
1,2,3,4Assistant Professor, Department of Mathematics,Sathyabama Institute of Science and Technology, Chennai, India.
Pages: 1193-1207
Abstract: [+]
As increasing the usage of internet and green cloud grows very rapidly present days. It creates challenge for a researcher how the connectivity links works such a heterogeneity network. Particularly on individual domain how the procedure works to transfer data or communication among the network. Identifying the structure at the individual level still one of the most demanded research activity. In Most of internet exchange it is not known that where the missing link or how the missing link changes our network structure. Identifying the missing link is necessary to find the network architecture completely. Recognizing the missing link connecting the Autonomous system is the objective of this paper.
Keywords: Network Architecture, Missing Connection, Independent System, Routing Procedure, Performance Evaluation.
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[1] S. Floyd and V. Paxson, “Difficulties in simulating the Internet,” IEEE/ACM Transactions on Networking, Vol. 9, no. 4, pp. 392–403, 2001.
[2] H. Chang, R. Govindan, S. Jamin, S. Shenker and W. Willinger, “Towards capturing representative AS-level Internet topologies,” Computer Networks, Vol. 44, no. 6, pp. 737–755, 2004.
[3] B. Zhang, R. A. Liu, D. Massey and L. Zhang, “Collecting the Internet as-level topology,” ACM SIGCOMM Computer Communication Review, Vol. 35, no. 1, pp. 53–61, 2005.
[4] Y. Shavitt and E. Shir, “DIMES: let the Internet measure itself,” ACM SIGCOMM Computer Communication Review, Vol. 35, no. 5, pp. 71–74, 2005.
[5] X. Dimitropoulos, D. Krioukov and G. Riley, “Revisiting Internet AS-level topology discovery,” International Workshop on Passive and Active Network Measurement, Springer, pp. 177-188, 2005.
[6] P. Mahadevan, D. Krioukov, M. Fomenkov, B. Huffaker, X. Dimitropoulos, K. claffy and A. Vahdat, “The Internet AS-level topology: Three data sources and one definitive metric,” ACM SIGCOMM Computer Communication Review, Vol. 36, no. 1, pp. 17–26, 2006.
[7] H. Chang, S. Jamin, and W. Willinger, “To peer or not to peer: Modeling the evolution of the Internet’s AS-level topology,” Proc. IEEE INFOCOM, pp 1-12, 2012.
[8] L. Colitti, G. DiBattista, M. Patrignani, M. Pizzonia, and M. Rimondini, “Investigating prefix propagation through active BGP probing,” Microprocessors and Microsystems, Vol. 31, no. 7, pp. 460–474, 2007.
[9] R. Cohen and D. Raz, “The Internet dark matter—on the missing links in the AS connectivity map,” Proc. IEEE INFOCOM, pp 1-12, 2006.
[10] K. Xu, Z. Duan, Z. Zhang and J. Chandrashekar, “On properties of Internet exchange points and their impact on AS topology and relationship,” International Conference on Research in Networking, Springer, pp. 284–295, 2004.
[11] G. Siganos and M. Faloutsos, “Analyzing BGP policies: Methodology and tool,” Proc. IEEE INFOCOM, Vol. 3, pp. 1640–1651, 2004.
[12] Y. He, G. Siganos, M. Faloutsos, and S. Krishnamurthy, “A systematic framework for unearthing the missing links: Measurements and impact,” USENIX NSDI, Cambridge, 2007.
[13] A. Lakhina, J. W. Byers, M. Crovella and P. Xie, “Sampling biases in IP topology measurements,” Proc. IEEE INFOCOM, Vol. 1, pp. 332–341, 2003.
[14] D. Achlioptas, A. Clauset, D. Kempe and C. Moore, “On the bias of trace route sampling, or power-law degree distributions in regular graphs,” Proc. STOC’05, Baltimore, pp. 694–703, 2005.
[15] R. V. Oliveira, B. Zhang and L. Zhang, “Observing the evolution of Internet AS topology,” Proc. ACM SIGCOMM, pp. 313–324, 2007.
[16] Z. Mao, J. Rexford, J. Wang and R. Katz, “Towards an accurate AS-level trace route tool,” Proc. ACM SIGCOMM, pp. 365–378, 2003.
[17] Z. M. Mao, D. Johnson, J. Rexford, J. Wang and R. Katz, “Scalable and accurate identification of AS-level forwarding paths,” Proc. IEEE INFOCOM, Vol. 3, pp. 1605–1615, 2004.
[18] B. Augustin, X. Cuvellier, B. Orgogozo, F. Viger, T. Friedman, M. Latapy, C. Magnien and R. Teixeira, “Avoiding trace route anomalies with Paris trace route,” Proc. ACM IMC’06, pp. 153–158, 2006.
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Analysis of Timeseries Forecasting Models Using TamilNadu Environmental Weather Data
1S.Bangaru Kamatchi and 2R.Parvathi
1Research scholar, School of Computing Science and Engineering, Vellore Institute of Technology, Chennai, India.
2Professor,School of Computing Science and Engineering, Vellore Institute of Technology, Chennai,India.
Pages: 1208-1217
Abstract: [+]
The prediction of yield and crop recommendation in the field of agriculture depends on the agro climatic conditions, which determines the success ratio of the crops. The minor changes in climatic condition will also affect the crop growth, production and yield. Analyzing the different climatic patterns over the years and predicting the future agro climatic condition is still a difficult task. Many machine learning prediction of climatic conditions are used over the decades, here to get better optimal results the concept of time series forecasting is taken for validating and predicting the data. the paper is dealt with the different attributes of agro climatic conditions like vapor pressure, precipitation ,maximum temperature ,minimum temperature average temperature are analyzed by different time series models and its accuracy are compared to find the optimal model for forecasting.
Keywords: ARIMA, accuracy, double exponential smoothing, Exponential smoothing, Root mean square error
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[2] V. M. Krasnopolsky and M. S. Fox-Rabinovitz, “Complex hybrid models combining deterministic and machine learning components for numerical climate modeling and weather prediction,” Neural Networks, vol. 19, no. 2, pp. 122–134, 2006.
[3] R. Society, “On a Method of Investigating Periodicities in Disturbed Series , with Special Reference to Wolfer ’ s Sunspot Numbers Author ( s ): G . Udny Yule Source: Philosophical Transactions of the Royal Society of London . Series A , Containing Papers of a Mathem,” vol. 226, no. 1927, pp. 267–298, 2017.
[4] Y. Radhika and M. Shashi, “Atmospheric Temperature Prediction using Support Vector Machines,” Int. J. Comput. Theory Eng., vol. 1, no. 1, pp. 55–58, 2009, doi: 10.7763/ijcte.2009.v1.9.
[5] I. Maqsood, M. R. Khan, and A. Abraham, “An ensemble of neural networks for weather forecasting,” Neural Comput. Appl., vol. 13, no. 2, pp. 112–122, 2004.
[6] K. Abhishek, M. P. Singh, S. Ghosh, and A. Anand, “Weather Forecasting Model using Artificial Neural Network,” Procedia Technol., vol. 4, pp. 311–318, 2012.
[7] E. S. Gardner, “Exponential Smoothing: The State of the Art,” vol. 4, no. August 1984, pp. 1–28, 1985.
[8] K. J. Kim, “Financial time series forecasting using support vector machines,” Neurocomputing, vol. 55, no. 1–2, pp. 307–319, 2003.
[9] L. J. Cao and F. E. H. Tay, “Support vector machine with adaptive parameters in financial time series forecasting,” IEEE Trans. Neural Networks, vol. 14, no. 6, pp. 1506–1518, 2003.
[10] M. Khashei and M. Bijari, “A novel hybridization of artificial neural networks and ARIMA models for time series forecasting,” Appl. Soft Comput. J., vol. 11, no. 2, pp. 2664–2675, 2011.
[11] C. H. Aladag, E. Egrioglu, and C. Kadilar, “Forecasting nonlinear time series with a hybrid methodology,” Appl. Math. Lett., vol. 22, no. 9, pp. 1467–1470, 2009.
[12] J. C. B. Gamboa, “Deep Learning for Time-Series Analysis,” 2017.
[13] P. Radha and B. Meena Preethi, “Machine learning approaches for disease prediction from radiology and pathology reports,” Journal of Green Engineering, vol. 9, no. 2, pp. 149–166, 2019.
[14] M. Narvekar and P. Fargose, “Daily Weather Forecasting using Artificial Neural Network,” Int. J. Comput. Appl., vol. 121, no. 22, pp. 9–13, 2015.
[15] A. Tealab, H. Hefny, and A. Badr, “Forecasting of nonlinear time series using ANN,” Futur. Comput. Informatics J., vol. 2, no. 1, pp. 39–47, 2017.
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Statistical Hypothesis Test to the Fuzzy Samples from Biomedical Observations by Pivotal Spot of Trapezoidal Fuzzy Numbers
1,*K. S. Keerthika and 2S. Parthiban
1,2Division of Mathematics, Department of Science and Humanities, Vignan’s Foundation for Science, Technology and Research, Vadlamudi, Guntur, Andhra Pradesh.India.
Pages: 1218-1231
Abstract: [+]
Test of hypothesis and decision making are generic and significant concluding part in every field. Arriving better result through statistical hypothesis test plays a vital role in almost all sectors such as industries, financial management, education, election commission, transports, natural resource development departments etc. But it is not always possible to have precise sample observations when the task is dealing with real time population. Practically, the observed samples may or may not be precise in nature. In this proposed work, some imprecise data of dengue and malarial victims have been taken and the concerned samples are observed in terms of fuzzy numbers; more generally in terms of trapezoidal fuzzy numbers (TrFNs). Further, the fuzzy numbers are defuzzified by a unique ranking method through pivotal spot of TrFNs. After defuzzification, relevant statistical method has been applied in the test of hypothesis to get better decision.
Keywords: Test of Hypothesis, Fuzzy numbers, Pivotal Spot, Rank,Samples
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[4] Abhinav Bansal, “Trapezoidal Fuzzy Numbers (a, b, c, d): Arithmetic Behavior”, International Journal of Physical and Mathematical Sciences, pp. 39-44, 2011.
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[7] P. Gajivaradhan and S. Parthiban, “Two sample statistical hypothesis test for trapezoidal fuzzy interval data”, International Journal of Applied Mathematics and Statistical Sciences, Vol. 4 pp. 1124, 2015.
[8] S. Parthiban and P. Gajivaradhan, “Statistical Hypothesis on Industrial Applications through Ranks from COG of TrFNs”, International Journal of Recent Technology and Engineering (IJRTE), Vol. 6, pp. 1116-1118,2019.
[9] S. Parthiban and P. Gajivaradhan, “Statistical hypothesis test in three factor ANOVA model under fuzzy environments using trapezoidal fuzzy numbers”, Bulletin of Mathematical Sciences and Applications, Vol.14, pp. 23-42, 2016.
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[12] Iuliana Carmen “Statistical Hypothesis Testing Using Fuzzy Linguistic Variables”, Fiabilitatesi Durabilitate-Fiability & Durability, Supplement, 1 (2012) Editura “Academica Brȃncusi”, Tȃrgu Jiu, ISSN 1844-640X.
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[18] H. C. Wu, “Analysis of variance for fuzzy data”, International Journal of Systems Science, Vol. 38, pp. 235-246, 2007.
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A Closed Loop Eleven Level Inverter with Heuristic Search Algorithm Based Tuning of PI Controller for the Regulation of the Output Voltage
1S.T.Bibin Shalini, 2J.Joseph Jawhar, 3Manjunath Ramachandra
1Department of ECE, AMC Engineering College, Bangalore,India.
2Department of EEE, Arunachala Engineering College, Tamil Nadu,India.
3Department of ECE, AMC Engineering College, Bangalore,India.
Pages: 1232-1257
Abstract: [+]
Multi level inverter has expanded widely in the current era due to its high power applications and they are majorly used in turbines, micro turbines, wind turbines, and high power DC to AC converted devices. It produces high quality and low distortion of output voltage with reduced harmonics and THD. This proposal consists of closed loop pivoted sinusoidal technique to find the performance of multilevel inverter and the following three techniques are implemented to find the switching angles for cascaded multilevel inverter. The rising and falling edges of step modulated eleven level inverter are aligned to the reference sinusoidal wave. This approach is also named as Pivoted sinusoidal reference. The results are favorable and have been compared with the other two methods such as Rage gutta 4th order method embedded as a MATLAB function and Equal area concept. The output of the inverter is quasi square wave with reduced harmonics, further to produce regulated AC output voltage, PI controller is used. This PI controller has been tuned with the Fruit Fly Optimization algorithm and the Cuckoo Search algorithm to obtain controller parameters. During voltage regulation, the performance of PI controller are also derived. Simulation has been carried out using MATLAB Simulink package and the transfer function of the multilevel inverter is found using its function and plotted root locus and bode plot diagram. The hardware with five cascaded H-bridges, isolated power supplies, zero crossing detector, comparator have been developed and implemented. In this package, the closed loop performances such as steady state error, Integral square error, Peak overshoot and settling time are analyzed and validated.
Keywords: Eleven level inverter, closed loop Sine reference pivoting, PI controller Tuning, Fruit fly algorithm, Cuckoo search heuristic algorithm, Bode analysis and Regulation with Filter characteristics
| References: [+]
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[2] T.Barath kumar.AVijaya devi,A.Brinda devi,P.S.Sivakami,”Harmonic reduction in multilevel inverter using particle swam optimization”. IJISET - International Journal of Innovative Science, Engineering & Technology, Vol. 4,no. 11,pp.100-104, 2017.
[3] G.Durga Prasad,V.Jegathesan,P.VV.Rama Rao,”Hybrid multilevel DC link inverter with reduced power electronic switches” , Journal on Energy procedia, Vol 117,pp.626-634, 2017.
[4] Rahul Omar,Nor syuhada,Mohanad Rasheed,”Comparison performance of multilevel inverter for Harmonic reduction in dynamic voltage restorer (DVR) application”, World Applied Sciences Journal, vol .34,no. 11 ,pp.1456-1472, 2016.
[5] Tikeshwar Gajpal,Nivedita hedau,”A Comparative Survey On Harmonic Optimization Of Multilevel Inverter” International Research Journal of Engineering and Technology (IRJET),vol.03,no 07,pp.2113-2117,2016.
[6] Sallama, Abdulhafid, Maysam Abbod, and Shariq Mahmood Khan. "Applying sequential particle swarm optimization algorithm to improve power generation quality", International Journal of Engineering and Technology Innovation,vol.4,pp.223-233, 2014
[7] Alamri, Basem, and Mohamed Darwish. "Precise modelling of switching and conduction losses in cascaded h-bridge multilevel inverters", Power Engineering Conference (UPEC), 978-1-4799-6557,2014.
[8] T.R.Sumitjira,A.Nirmal kumar,”Elimination of Harmonics in multilevel inverter connected to photovoltaic systems using ANFIS:An experimental cast study”,vol 21, no.11,pp.124-132,2013.
[9] Farokhnia, N., Fathi, S.H.; Salehi, R.; Gharehpetian, G.B.; Ehsani, M., "Improved selective harmonic elimination pulse-width modulation strategy in multilevel inverters," Power Electronics-IET,vol.5, no.9, pp.1904-1911, 2012.
[10] Wen-Tsao Pan, “A New Fly Optimization Algorithm: Taking the Financial Distress Model as an Example”, Knowledge-Based Systems, vol. 26, pp. 69-74, 2012.
[11] Chunquan Li, Shaoping Xu, Wen Li, Lingyan Hu.”A Novel Modified Fly Optimization Algorithm for Designing the Self-Tuning Proportional Integral Derivative Controller”,vol.7,no16,pp.69-77,2012.
[12] Mohamed Dahidah,Georgios konstantinou,vassilios georgiod agelidis,”Selective harmonic elimination pulse width modulation seven level cascaded H-bridge converter with optimized DC voltage levels”. IET Power Electronics,vol.5, no 6, pp.852-862,2012.
[13] Dahidah, M.S.A.; Konstantinou, G.S.; Agelidis, V.G., "Selective harmonic elimination pulse-width modulation seven-level cascaded Hbridge converter with optimised DC voltage levels," Power Electronics- IET , vol.5, no.6, pp.852-862, 2012.
[14] Xiujuan Lei,Mingyu DU,Jin Xu,Ying Tan, “Chaotic fruit fly optimization”, Advances in swam intelligence, pp. 74-85, 2014.
[15] Ilhami Colak, Ersan Kabalci, Ramazan Bayindir, “Review of multilevel voltage source inverter topologies and control schemes”, Energy Conversion and Management, Vol.52, no 2, pp.1114-1128, 2011.
[16] Hassanzadeh, T. Meybodi and M,R.Mahmoudi, “An improved Firefly Algorithm for optimization in static environment,” Fifth Iran Data Mining Conference – IDMC, 2011.
[17] Wen-Tsao Pan, Fruit fly optimization algorithm. Tsang Hai Book Publishing Co., Taipei, 2011.
[18] Hazim Iscan”Parameter Analysis on Fruit Fly Optimization Algorithm”Journal of computer and communications,vol.02, no.04,pp 137-141,2011.
[19] Su Mei Liu, ”Analysis of service satisfaction in web auction logistics service using a combination of fruit fly optimization algorithm and general regression neural network”, Neural Computer & Application, vol.22,no.12, pp. 1-9, 2011.
[20] Ryusuke Niwa,Yuko ” The Fruit Fly Drosophila melanogaster as a Model System to Study Cholesterol Metabolism and Homeostasis”, International conference in swam intelligence, Article ID 176802, 2011.
[21] Ala Eldin Abdallah Awouda, Rosbi Bin Mamat, ”Refine PID Tuning Rule Using ITAE Criteria”, Proceeding(s) of the Second International Computer and automation Engineering, vol.7,pp. 171-176, 2010.
[22] Dahidah, Mohamed S.A; Agelidis, V.G., "Selective Harmonic Elimination PWM Control for Cascaded Multilevel Voltage Source Converters: A Generalized Formula," Power Electronics-IEEE Transactions on , vol.23, no.4, pp.1620-1630, 2008.
[23] Sergio Busquests monge,Jose Daniel Ortega,Josep Bordonau,”Closed-Loop Control of a Three-Phase Neutral-Point-Clamped Inverter Using an Optimized Virtual-Vector-Based Pulsewidth Modulation “, vol.55,no.5,pp.2061-2071,2008.
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Anaerobic Digestion Based Modeling and Simulation of Bio Gas Fuel System
1L.Jenifer and 2E.Annie Elisabeth Jebaseeli
1Research Scholar, School of Electrical and Electronics Engineering, Sathyabama Institute of Science and Technology, Chennai, India.
2Associate Professor, School of Electrical and Electronics Engineering, Sathyabama Institute of Science and Technology , Chennai, India.
Pages: 1258-1271
Abstract: [+]
The aim of is to generate electricity from biogas renewable energy for rural areas during shut down or off power blackout days. Renewable energy is of clean and sustainable nature and thus forms an alternative to fossil fuels. The burning of coal, oil and natural gas causes global warming, a disaster. It affects our planet and also the human beings on the earth. Renewable energy sector has become recent in most of the countries and hence pave a wayfor huge companies to invest. New jobs can be created for the unemployed personnel. Hence, renewable energy is proved to play an important role in bringing the unemployment scale down in most of the countries, in particular the developing ones. There are various renewable energy resources used for electricity production but biogas can be used as a fuel substitute and for energy production. The energy output can be stepped up and then connected to grid. The byproduct obtained from anaerobic digestion process is biogas, which is the combination of carbon-dioxide and methane gases.Micro turbine coupled with PMSG fed from biogas energy as input operates to provide continuous power supply.The transient condition occurring during increase/decrease in load is regulated using an adaptive controller and the performance of PMSG is monitored using a supervisory controller throughout the running of generator. The proposed system is modeled and the performance is simulated using MATLAB.
Keywords: Eleven level inverter, closed loop Sine reference pivoting, PI controller Tuning, Fruit fly algorithm, Cuckoo search heuristic algorithm, Bode analysis and Regulation with Filter characteristics
| References: [+]
[1] Elango, R. Anbu, and P. Mohan. "Bio-gas power plants—Green energy options for Indian villages." In 2014 International conference on green computing communication and electrical engineering (ICGCCEE), pp. 1-3. IEEE, 2014.
[2] Bong, Cassendra PC, Li Yee Lim, Chew Tin Lee, Wai Shin Ho, and J. J. Klemes. "The kinetics for mathematical modelling on the anaerobic digestion of organic waste-A review." Chemical Engineering Transactions, vol. 61,pp.1669-1674, 2017.
[3] Wolf, Christian. "Simulation, optimization and instrumentation of agricultural biogas plants." PhD diss., Doctoral Dissertation, Department of Electronic Engineering National University of Ireland, Maynooth, 2013.
[4] Subramani, T., and M. Nallathambi. "Mathematical model for commercial production of bio-gas from sewage water and kitchen waste." International Journal of Modern Engineering Research (IJMER), vol.2, no. 4, pp. 1588-1595, 2012.
[5] Kumar, M. Krishna, T. Sreejith Kailas, K. Ilango, and Manjula G. Nair. "Fuzzy control based biogas IC engine generator system in a residential building." International Conference on Technological Advancements in Power and Energy (TAP Energy), IEEE, pp. 1-5. 2017.
[6] Saeed, Mohammed, SamaaFawzy, and Magdi El-Saadawi. "Modeling and simulation of biogas-fueled power system." International journal of green energy, Vol. 16, No. 2, pp.125-151, 2019
[7] Hashemi, F., N. Ghadimi, M. Salehi, and R. Ghadimi. "Modelling and Simulation of Microturbine as Distributed Generation and Present a New Method for Islanding Detection." Energy Procedia, vol.14,pp. 87-93. 2012.
[8] Manjusha, C., and B. SajeenaBeevi. "Mathematical modeling and simulation of anaerobic digestion”, Procedia Technology,Vol.24,2016,pp.654-660,2016
[9] Schneider, Anna. "Dynamic modeling and simulation of biogas production based on anaerobic digestion of gelatine, sucrose and rapeseed oil." PhD diss., IRC-Library, Information Resource Center der Jacobs University Bremen, 2016.
[10] Kumba, Tresor K., Esther T. Akinlabi, and Daniel M. Madyira. "Design and sustainability of a biogas plant for domestic use" 8th International Conference on Mechanical and Intelligent Manufacturing Technologies (ICMIMT), IEEE,pp. 134-137, 2017.
[11] Ahsan, Asif, and Shahriar Ahmed Chowdhury."Feasibility study of utilizing biogas from urban waste."In 2nd International Conference on the Developments in Renewable Energy Technology (ICDRET 2012), pp. 1-4.IEEE, 2012.
[12] Chakravarthi, Janani, "Biogas and energy production from cattle waste."In IECEC-97 Proceedings of the Thirty-Second Intersociety Energy Conversion Engineering Conference, IEEE, vol. 1, pp. 648-651, 1997
[13] Lauwers, Joost, LiseAppels, Ian P. Thompson, Jan Degrève, Jan F. Van Impe, and RafDewil. "Mathematical modelling of anaerobic digestion of biomass and waste: Power and limitations", Progress in Energy and Combustion Science, Vol.39, no. 4, pp.383-402, 2013
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Robust Power Flow Control of PV and Battery Powered Electric Vehicle with Single Stage Interaction Converter
1S.Jambulingam and 2D.M. Mary Synthia Regis Prabha
1Research Scholar, Noorul Islam University,Kumarakovil,Tamilnadu, India.
2Department of Electrical and Electronics Engineering, Noorul islam university, kumarakovil, Tamilnadu,India
Pages: 1272-1296
Abstract: [+]
Electric vehicles (EV’s) are becoming an interesting topic for research and development, which give a reasonable solution for decreasing the greenhouse gas emissions. Brushless DC (BLDC) motors are one among the guaranteed motors for EV applications. Regenerative braking (RGB) enhances energy usage effectiveness as well as extends Electric vehicles the driving distance. In this research, mono foot lever, and reformative as well as mechanical braking coordination is attained, and braking force spread takes on fuzzy logic controller (FLC).With the intention of prolonging EV’s travelling distance, photovoltaic (PV) panel’s usage over EV decrease reliance on vehicle batteries. The proposed system, Single Stage Interaction Converter (SSIC) is presented to coordinate progression of vitality in the midst of the PV board, battery and BLDC motor. The performance assessment is done in the environment of MATLAB Simulink, in which the speed, stator current and voltage, and state of battery are evaluated. When compared to other approaches, the novel proposed approach provides improved performance in terms of robustness, realization, and efficiency.
Keywords: PV fed EV’s, BLDC machine, Regenerative braking (RGB) method, single stage interaction converter (SSIC), physically challenged person
| References: [+]
[1] M. Ortuzar, J. Moreno, and J. Dixon, “Ultra capacitor-based auxiliary energy system for an electric vehicle: Implementation and evaluation,” IEEE Transactions on Industrial Electronics, Vol. 54, no.4, pp. 2147– 2156, 2007.
[2] P. J. Grbovic, P. Delarue, P. Le Moigne, and P. Bartholomeus, “A bidirectional three-level dc-dc converter for the ultra-capacitor applications,” IEEE Trans. Ind. Electron., Vol. 57, no.10, pp. 3415– 3430, 2010.
[3] J S. M. Lukic, J. Cao, R. C. Bansal, F. Rodriguez, and A. Emadi, “Energy storage systems for automotive applications,” IEEE Trans. Ind. Electron., vol. 55, no. 6, pp. 2258–2267, 2008.
[4] A. Rowe, G. Sen Gupta and S. Demidenko, "Instrumentation and control of a high power BLDC motor for small vehicle applications," IEEE International Instrumentation and Measurement Technology Conference Proceedings, Graz, pp. 559-564, 2012.
[5] A.Tashakori and M. Ektesabi, “Fault Diagnosis of In-wheel BLDC Motor Drive for Electric Vehicle Application,” in Proc. IEEE Intell. Veh.Symp. pp, 925 – 930, 2013.
[6] M. Yilmaz and P. T. Krein, "Review of Battery Charger Topologies, Charging Power Levels, and Infrastructure for Plug-In Electric and Hybrid Vehicles," IEEE Transactions on Power Electronics, vol. 28, no. 5, pp. 2151-2169, 2013
[7] A. Emadi, Handbook of Automative power electronics and motor drives, CRC press, Oct. 2005.
[8] J.H. Choi, J.S.Park, J.-H.Kim and I.-S.Jung, “Control Scheme for Efficiency Improvement of slim type BLDC Motor,” in Proc. Int. Power Electron., Elect.Drives, Autom.Motion, pp. 820 – 824, 2014.
[9] F. Yang, C. Jiang, A. Taylor, H. Bai, A. Kotrba, A. Yetkin and A. Gundogan, “Design of a High-Efficiency Minimum-Torque-Ripple 12- V/1-kW Three-Phase BLDC Motor Drive System for Diesel Engine Emission Reductions,” IEEE Trans. Veh. Technol., Vol. 63, no.7, pp. 3107 – 3115, 2014.
[10] Y. Kim and N. Chang, “Design and Management of Energy-Efficient Hybrid Electric Energy Storage Systems”,Hoboken,Springer, pp. 19–25, 2014.
[11] R.Shanmugasundram, K. M. Zakariah and N. Yadaiah, “ Implementation and Performance Analysis of Digital Controllers for Brushless DC Motor Drives,” IEEE/ASME Trans. Mechatron., vol. 19, no. 1, pp. 213 – 224, 2014.
[12] X. Nian, F. Peng and H. Zhang, "Regenerative Braking System of Electric Vehicle Driven by Brushless DC Motor," IEEE Transactions on Industrial Electronics, vol. 61, no. 10, pp. 5798-5808, 2014.
[13] A. G. Sarigiannidis, S. A. Stathis and A. G. Kladas, "Performance evaluation of MPPT techniques for PV array incorporated into Electric Vehicle roof," International Conference on Renewable Energy Research and Applications (ICRERA), Palermo, pp. 1069-1073, 2015.
[14] S. Lee, J.-E. Kim, and H. Cha, “Design and implementation of photovoltaic power conditioning system using a current-based maximum power point tracking,” Journal of Electrical Engineering & Technology, vol. 5, no. 4, pp. 606–613, 2010.
[15] Y. Hu, C. Gan, W. Cao and Y. Fang, "Tri-port converter for flexible energy control of PV-fed electric vehicles," IEEE International Electric Machines & Drives Conference (IEMDC), pp. 1063-1070, 2015.
[16] P. Madhuri, T. Ranga, M. Sekhar “Solar PV-Powered SRM Drive by Using Tri-Port Converter for Electric Vehicles” International Journal of Research, Vol.04, no.14, 2017.
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