Sheifali Gupta, D. Gupta, Rupesh Gupta, Sarang Sharma, G. Kumar
{"title":"Electronic Control System for Energy Saving in Elevator","authors":"Sheifali Gupta, D. Gupta, Rupesh Gupta, Sarang Sharma, G. Kumar","doi":"10.1109/PEEIC47157.2019.8976761","DOIUrl":"https://doi.org/10.1109/PEEIC47157.2019.8976761","url":null,"abstract":"The invention discloses an electronic control system for energy saving in elevator. The system comprises of a thermal sensor, relay unit, logic gate unit and a control unit so connected in a logical way to detect the presence of occupant. The individual component of whole system is placed at appropriate position. Thermal sensor detects and reverts to the control unit about the occupancy of passenger within elevator. Combining the presence of the occupant by thermal sensor with other various possibilities of presence of the passenger reverted by other sensors is used as a logical combinations. Upon detection of the absence of passenger as per the logical output, the control unit signals the relay unit which therefore signals the logic gate unit to turnoff the unnecessary fan and electricity.","PeriodicalId":203504,"journal":{"name":"2019 2nd International Conference on Power Energy, Environment and Intelligent Control (PEEIC)","volume":"107 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116371599","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ravindrakumar Yadav, V. Bhadoria, P. N. Hrisheekesha
{"title":"Technical and Financial Assessment of a Grid Connected Solar PV Net Metering System for Residential Community","authors":"Ravindrakumar Yadav, V. Bhadoria, P. N. Hrisheekesha","doi":"10.1109/PEEIC47157.2019.8976657","DOIUrl":"https://doi.org/10.1109/PEEIC47157.2019.8976657","url":null,"abstract":"The worlds increasing demand of electricity and lessening of fossil fuels has created a condition for serious concern to search for new inexhaustible resources to fulfill the future electrical energy demand. In this study a techno-economic comparison of a grid connected residential load is made with the grid connected residential load along with solar PV panels based on Net-Metering system. The design implementation and analysis is accomplished by using HOMER Software. This paper also considers the feasibility analysis of solar radiations at the described location. It is observed here that the system under consideration gives minimum expenditure when connected with solar PV panels. Simulations result shows that the total net present cost along with cost of energy and annual operational cost is reduced significantly when compared with the existing grid system. In this system the grid has same rates for selling and buying of electrical energy and a payback period analysis is also carried out with the proposed system.","PeriodicalId":203504,"journal":{"name":"2019 2nd International Conference on Power Energy, Environment and Intelligent Control (PEEIC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125096994","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Low-Cost Power Monitoring System","authors":"Anshuman Baruah, Pooja Rani Borah, Dibyajyoti Chatterjee","doi":"10.1109/PEEIC47157.2019.8976807","DOIUrl":"https://doi.org/10.1109/PEEIC47157.2019.8976807","url":null,"abstract":"A well-configured power monitoring system (PMS) is a worthwhile technology for every power consumer. Energy usage and its associated cost is a major concern for everyone. This paper aims at building a real-time based power monitoring system that measures the energy consumption within the household and uploads the data to the cloud. A mobile application is developed to monitor and analyze the data. A notification is sent to the consumer's registered phone number on drawing energy beyond the set limit. The mobile application shows realtime consumption status of the consumer to create a better understanding of the loads installed. The data generated by PMS of each consumer can be accessed by the distribution companies which can be incorporated for more accurate monthly bills.","PeriodicalId":203504,"journal":{"name":"2019 2nd International Conference on Power Energy, Environment and Intelligent Control (PEEIC)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126725777","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Performance and Analysis of PV System With MPPT Application By using SPWM and SVPWM technique","authors":"A. Pandey, A. Pandey","doi":"10.1109/PEEIC47157.2019.8976541","DOIUrl":"https://doi.org/10.1109/PEEIC47157.2019.8976541","url":null,"abstract":"In this paper simulation results and modeling of stand still Photovoltaic system is observed with matlab software. The performance of PV system is observed with MPPT technique by using SPWM and SVPWM method in order to obtain better results of overall system. Incremental inductance method is used to extract the maximum power from P-V characteristics of the PV system. The output from the PV system is variable so to make it constant a de-de cuk converter is used to get fixed output voltage. Now the output from the de-de converter is fed to 3-phase inverter which controlling is done with SPWM and SVPWM technique. In this paper the load varying nature and irradiance varying nature analysis is also done with both SPWM and SVPWM techniques. The output from varying nature affects more on PV system. So in this paper with help of matlab the varying nature is somehow does not affect more.","PeriodicalId":203504,"journal":{"name":"2019 2nd International Conference on Power Energy, Environment and Intelligent Control (PEEIC)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126475109","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Sensors for e-Healthcare and Environmental Applications: Towards systems of the future","authors":"M. Swami, Divya Verma","doi":"10.1109/PEEIC47157.2019.8976858","DOIUrl":"https://doi.org/10.1109/PEEIC47157.2019.8976858","url":null,"abstract":"Human beings serve as a model for the evolution of sensors for the 21st century. Sensors form the integral spine of industries, laboratories and learning across all domains. Global warming, lifestyle diseases and cancer are areas where remedies continues to be an eluding research. As per International Labor Organisation statistics, the 4th Industrial Revolution poses a threat to two thirds of human jobs. Thus knowledge and experimentation of and with sensors is a prerequisite for today's engineers. IoT sensors are being developed in network setups for fog and cloud systems for patient care, especially to cater to rural and far-flung areas. Environmental sensors are being developed to monitor greenhouse gases in real-time. This paper conducts a comparative analytical study of modern sensor based systems with an introduction to history and classification in Sections I–IV. Sections V, VI and VII further introduce the readers to Acoustic, Greenhouse and Tactile sensors for environmental and health applications, and Section VIII proposes interconnections for future systemic scope.","PeriodicalId":203504,"journal":{"name":"2019 2nd International Conference on Power Energy, Environment and Intelligent Control (PEEIC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130703165","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Secret Data Hiding in Image Using AMBTC Technique","authors":"N. Kumar, D. Singh, S. Sharma","doi":"10.1109/PEEIC47157.2019.8976628","DOIUrl":"https://doi.org/10.1109/PEEIC47157.2019.8976628","url":null,"abstract":"Proposed paper discloses a technique for secret data hiding in an image using AMBTC coding scheme. Different from the conventional techniques, proposed technique discloses a novel way of secret data hiding technique in both smooth and complex blocks of the cover image. It suggests different data hiding approach for smooth block and complex block. In case of smooth block, bit-plane is simply modified by secret data. However, in case of complex block, bit-plane is divided in to fixed number of bit sections. The granular division of bit-plane corresponding to only complex blocks helps in to increasing embedding capacity. Each section of the bit-plane is processed for redundancy check. If predetermined redundancy is determined for a predetermined number of sections, then only corresponding sections are used for secret data hiding otherwise bit-plane is not changed. Selective secret data hiding for different sections increasing embedding capacity while preserve image quality. Performance of the proposed technique are compared with the existing techniques, which show significant improvement in data embedding capacity as well as a good quality stego image.","PeriodicalId":203504,"journal":{"name":"2019 2nd International Conference on Power Energy, Environment and Intelligent Control (PEEIC)","volume":"134 Supplement_1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132241768","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Simulation of Boost Converter using ePWM feature of DSP TMS320F28335","authors":"Akshaya Mhatre, H. Gaur, R. Kulkarni","doi":"10.1109/PEEIC47157.2019.8976586","DOIUrl":"https://doi.org/10.1109/PEEIC47157.2019.8976586","url":null,"abstract":"Solar energy is the alternative to the conventional energy sources as the environmental issues are concerned. Regulated, stepped up DC output can be obtained from PV panels using boost type DC-DC converter. This paper presents simulation of a boost converter where the required gate triggering pulses are generated using ePWM feature of the Digital Signal Processor (DSP).","PeriodicalId":203504,"journal":{"name":"2019 2nd International Conference on Power Energy, Environment and Intelligent Control (PEEIC)","volume":"141 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132251072","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Examine robustness of efficiency scores on account of data variation in Data Envelopment Analysis (DEA)","authors":"R. Yadav, A. Mishra, Shubham Gupta, Jay Singh","doi":"10.1109/PEEIC47157.2019.8976759","DOIUrl":"https://doi.org/10.1109/PEEIC47157.2019.8976759","url":null,"abstract":"An approach for sensitivity (robustness) based analysis of the CCR efficiency scores in data envelopment analysis (DEA) is presented in this paper. This modified technique quantifies the degree of stability for efficient decision-making units (DMUs) while accounting for the simultaneous change in data for all. Mean, the change in input and output data is defined for which the DMU under evaluation remains efficient. The solution method comprises a linear programming formulation that yields the allowable percentage change in data. In the last, a numerical example illustrates the effectiveness of the presented methodology.","PeriodicalId":203504,"journal":{"name":"2019 2nd International Conference on Power Energy, Environment and Intelligent Control (PEEIC)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134153595","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Machine Learning Computation on Multiple GPU's using CUDA and Message Passing Interface","authors":"Bhagirath, Neetu Mittal, Sushil Kumar","doi":"10.1109/PEEIC47157.2019.8976714","DOIUrl":"https://doi.org/10.1109/PEEIC47157.2019.8976714","url":null,"abstract":"In this paper, we provide our efforts to implement machine learning modeling on commodity hardware such as general purpose graphical processing unit (GPU) and multiple GPU's connected with message passing interface (MPI). We consider risk models that involve a large number of iterations to come up with a probability of defaults for any credit account. This is computed based on the Markov Chain analysis. We discuss data structures and efficient implementation of machine learning models on the GPU platform. Idea is to leverage the power of fast GPU RAM and thousands of GPU core for fasten the execution process and reduce overall time. When we increase the number of GPU in our experiment, it also increases the programming complexity and increase the number of I/O which leads to increase overall turnaround time. We benchmarked the scalability and performance of our implementation with respect to size of the data. Performing model computations on huge amount o.f data is a compute intensive and costly task. We purpose four combinations of CPU, GPU and MPI for machine learning modeling. Experiment on real data show that to training machine leaning model on single GPU outperform as compare to CPu, Multiple GPU and GPU connected with MPI","PeriodicalId":203504,"journal":{"name":"2019 2nd International Conference on Power Energy, Environment and Intelligent Control (PEEIC)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132164114","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Speed Control of DC Motor Using Adaptive Neuro Fuzzy Inference System Based PID Controller","authors":"Md. Asif Hasan, R. Mishra, Srishti Singh","doi":"10.1109/PEEIC47157.2019.8976579","DOIUrl":"https://doi.org/10.1109/PEEIC47157.2019.8976579","url":null,"abstract":"This paper presents a ANFIS-PID controller scheme for speed control of the DC motor. ANFIS is a fusion of Artificial Neural Network and Fuzzy Logic principles and is based on Tagaki-Sugeno-Kang fuzzy interference system. A performance comparison of conventional PID controller and ANFIS-PID controller for speed control of DC motor has been carried out in this work. The analysis is based on the MATLAB/Simulink simulation. The effectiveness of the two controllers are compared in terms of Integral System Error (ISE) and Integral of Time and Absolute Error (ITAE). Results clearly indicate that the performance of ANFIS-PID controller is better than that of the conventional PID controller.","PeriodicalId":203504,"journal":{"name":"2019 2nd International Conference on Power Energy, Environment and Intelligent Control (PEEIC)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121260276","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}