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Control of Four Tank System using Grasshopper Algorithm 基于Grasshopper算法的四缸系统控制
2020 IEEE India Council International Subsections Conference (INDISCON) Pub Date : 2020-10-01 DOI: 10.1109/INDISCON50162.2020.00049
Chatti Venkata Nageswara Rao, M. Murty, Devendra Potnuru
{"title":"Control of Four Tank System using Grasshopper Algorithm","authors":"Chatti Venkata Nageswara Rao, M. Murty, Devendra Potnuru","doi":"10.1109/INDISCON50162.2020.00049","DOIUrl":"https://doi.org/10.1109/INDISCON50162.2020.00049","url":null,"abstract":"The present paper is control of quadruple tank system using nature inspired Grasshopper algorithm. Modeling of quadruple tank system has non-linear dynamics and is controlled by conventional PID controllers. The gains of these controllers are optimally tuned by minimizing the integral square error. In this work Grasshopper algorithm is used for this purpose and the optimally tuned PID gains are used for the control the levels of the quadruple tank system. The results are demonstrated using MATLAB/Simulink.","PeriodicalId":371571,"journal":{"name":"2020 IEEE India Council International Subsections Conference (INDISCON)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125517230","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}
引用次数: 0
Fine-Tuning of Learning Rate for Improvement of Object Detection Accuracy 提高目标检测精度的学习率微调
2020 IEEE India Council International Subsections Conference (INDISCON) Pub Date : 2020-10-01 DOI: 10.1109/INDISCON50162.2020.00038
Anusha Chamarty
{"title":"Fine-Tuning of Learning Rate for Improvement of Object Detection Accuracy","authors":"Anusha Chamarty","doi":"10.1109/INDISCON50162.2020.00038","DOIUrl":"https://doi.org/10.1109/INDISCON50162.2020.00038","url":null,"abstract":"The ubiquitous applications like Autonomous vehicles, Biometric Recognition, Security in defence sector, Medical field for disease identification, Video surveillance and Scene understanding activated vast research in the realm of Deep Learning. Deep Learning techniques [1] have emerged as a powerful tool for Feature Extraction from images or videos and also led to remarkable breach in the field of Object Detection. The field of Deep Learning [2] is predominantly becoming popular due to the improvement of Convolution Neural Network (CNN) Architectures. The Deep Learning model's accuracy depends on various Hyper-Parameters such as 'Learning Rate', 'Batch Size', 'Epoch Rate', 'Optimization Function', 'Activation Function', 'Dropout Rate' etc. Identifying the best values of these Hyper-Parameters, improves the Object Detection accuracy. This paper mainly concentrates on the selection of a better value of 'Learning Rate', at which maximum Object Detection accuracy is obtained. Different Datasets are considered for analysis and the Learning Rate at which each dataset results better accuracy is identified. After rigorous experimentation, a relationship is formulated between 'Learning Rate' and 'Dataset Size' which holds good for any dataset.","PeriodicalId":371571,"journal":{"name":"2020 IEEE India Council International Subsections Conference (INDISCON)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123965496","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}
引用次数: 0
Comparative Analysis of Recent MPPT Algorithms for Thermoelectric Generator 热电发电机MPPT算法的比较分析
2020 IEEE India Council International Subsections Conference (INDISCON) Pub Date : 2020-10-01 DOI: 10.1109/INDISCON50162.2020.00061
Adithya Chepuru, Saravanakumar R
{"title":"Comparative Analysis of Recent MPPT Algorithms for Thermoelectric Generator","authors":"Adithya Chepuru, Saravanakumar R","doi":"10.1109/INDISCON50162.2020.00061","DOIUrl":"https://doi.org/10.1109/INDISCON50162.2020.00061","url":null,"abstract":"This paper presents a comparative analysis of recent Maximum power point tracking algorithms of a thermoelectric Generator (TEG). The algorithms discussed are Linear Extrapolation based maximum power point tracking (LEMPPT), Parabolic extrapolation based maximum power point tracking (PEMPPT) and Perturb and Observe (P&O) algorithms. The LEMPPT algorithm tracks MPP based Linear I-V characterstics of TEG that requires two operating points on the curve, PEMPPT uses P-I curve of TEG which is Parabolic in nature for that requires three operating points of parabolic curve and Perturb and observe is classic hill climbing technique the operating point works on perturbation based on sign of voltage and power differnces to reach MPP point. The performance of the these algorithms are evaluated with same initial operating point and sampling time and it is found to be LEMPPT track faster than rest algorithms.","PeriodicalId":371571,"journal":{"name":"2020 IEEE India Council International Subsections Conference (INDISCON)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115923778","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}
引用次数: 0
Identifying Critical Risk Factors for Use of Digitalization in Construction Industry: A Case Study 识别建筑业使用数字化的关键风险因素:案例研究
2020 IEEE India Council International Subsections Conference (INDISCON) Pub Date : 2020-10-01 DOI: 10.1109/INDISCON50162.2020.00036
Avirag Bajpai, S. Misra
{"title":"Identifying Critical Risk Factors for Use of Digitalization in Construction Industry: A Case Study","authors":"Avirag Bajpai, S. Misra","doi":"10.1109/INDISCON50162.2020.00036","DOIUrl":"https://doi.org/10.1109/INDISCON50162.2020.00036","url":null,"abstract":"Digitalization of construction processes is a present prerequisite for the construction firms to be in competitive position in this segment globally. It is essential to use and continue in construction for optimizing project time, project cost and top quality in construction operations. Digitalization prospects are not bounded to optimize construction operation and processes but also covered to visualize real time project management and further to enhance use of (IoT) Internet of Things in construction. To take it forward as a general practice to use digitalization in construction, main risk factors should be identified and studied prior to implementation. From the extensive literature review and input taken from industry experience professional's fourteen risk factors are identified and further ranking are established using Fuzzy TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) method. Loss of data privacy and security emerged as the biggest risk factor followed closely by improper user's skills and technical experiences. Deviation of policies, poor resource planning and business process change modality are other serious risk factors that slowdown the use of digitalization in construction. However this case study is aimed to focus the construction professionals regarding risk factor to use of digitalization concept in construction.","PeriodicalId":371571,"journal":{"name":"2020 IEEE India Council International Subsections Conference (INDISCON)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114856999","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}
引用次数: 2
Design of a Power Electronic Drive for a Small Utility Electric Vehicle 小型多功能电动车动力电子驱动系统的设计
2020 IEEE India Council International Subsections Conference (INDISCON) Pub Date : 2020-10-01 DOI: 10.1109/INDISCON50162.2020.00027
A. Mathew, R. Bindu, S. Thale
{"title":"Design of a Power Electronic Drive for a Small Utility Electric Vehicle","authors":"A. Mathew, R. Bindu, S. Thale","doi":"10.1109/INDISCON50162.2020.00027","DOIUrl":"https://doi.org/10.1109/INDISCON50162.2020.00027","url":null,"abstract":"Electric transportation is gaining momentum through the adoption of various e-mobility options such as Electric Vehicles (EV) based on Battery, Fuel Cell etc. The selection of a suitable motor with energy efficient power electronic drive is crucial for the EV. The EV drive should provide a smooth operation (less torque pulsation) with minimum losses over a wide range of speed. Fast dynamic response, good steady state response and minimum computational complexity of the control algorithm are also the inevitable requirements of an EV drive. This paper presents design considerations of a drive for a small utility EV intended for an urban driving cycle in India. The urban driving involves frequent and sudden variations in both speed and power, and hence it is recommended to use a high-performance control algorithm. The most popular control algorithms, Indirect Rotor Field Oriented Control (IFOC) based on hysteresis current control (HCC), Sine Pulse Width Modulation (SPWM) and Space Vector PWM (SVPWM) are simulated and analyzed in this paper. IFOC based on SVPWM is found to be the most effective method. The simulation of this project is completed and found to be satisfactory while the hardware is being developed.","PeriodicalId":371571,"journal":{"name":"2020 IEEE India Council International Subsections Conference (INDISCON)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117188839","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}
引用次数: 1
Tracking Underwater Target Using Angles-only Measurements 使用角度测量跟踪水下目标
2020 IEEE India Council International Subsections Conference (INDISCON) Pub Date : 2020-10-01 DOI: 10.1109/INDISCON50162.2020.00051
K. S., K. M, Kausar Jahan
{"title":"Tracking Underwater Target Using Angles-only Measurements","authors":"K. S., K. M, Kausar Jahan","doi":"10.1109/INDISCON50162.2020.00051","DOIUrl":"https://doi.org/10.1109/INDISCON50162.2020.00051","url":null,"abstract":"This Surveillance plays a critical role in the marine environment. Target is tracked even if measurements of the range are not available, using bearing and elevation measurements. This research intends to track the target and estimate the parameters of target motion and to reduce noise in the estimated parameters using an effective nonlinear filter, Unscented Angles-only Kalman Filter (UAKF). Mathematical modeling is presented in this research, and simulation is done using MATLAB software. The performance of the UAKF algorithm is shown to be efficient in tracking the target and observer maneuver is recommended to get convergence very quickly in underwater surroundings.","PeriodicalId":371571,"journal":{"name":"2020 IEEE India Council International Subsections Conference (INDISCON)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129441296","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}
引用次数: 0
Impact of Rider Optimization Algorithm Towards Optimal Container Resource Allocation 骑乘优化算法对集装箱资源最优分配的影响
2020 IEEE India Council International Subsections Conference (INDISCON) Pub Date : 2020-10-01 DOI: 10.1109/INDISCON50162.2020.00064
K. Vhatkar, G. Bhole
{"title":"Impact of Rider Optimization Algorithm Towards Optimal Container Resource Allocation","authors":"K. Vhatkar, G. Bhole","doi":"10.1109/INDISCON50162.2020.00064","DOIUrl":"https://doi.org/10.1109/INDISCON50162.2020.00064","url":null,"abstract":"The exploitation of containers in the cloud has gained great attention due to increased portability, restricted overheads and faster and easier deployment. Regardless of the huge count of solutions, there are several problems, which are not entirely addressed in container allocation. This paper utilizes Rider Optimization Algorithm (ROA) for optimizing the allocation of container resources. A novel rescaled objective function is portrayed in this work, which takes account of “Threshold Distance, Balanced Cluster Use, System Failure and Total Network Distance”. At last, the superiority of the adopted scheme is validated over the other traditional schemes in terms of cost analysis.","PeriodicalId":371571,"journal":{"name":"2020 IEEE India Council International Subsections Conference (INDISCON)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129270963","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}
引用次数: 0
Power Quality Improvement of Grid Connected PV System 并网光伏系统电能质量的改进
2020 IEEE India Council International Subsections Conference (INDISCON) Pub Date : 2020-10-01 DOI: 10.1109/INDISCON50162.2020.00047
Bipin Singh, A. Verma, V. K. Giri
{"title":"Power Quality Improvement of Grid Connected PV System","authors":"Bipin Singh, A. Verma, V. K. Giri","doi":"10.1109/INDISCON50162.2020.00047","DOIUrl":"https://doi.org/10.1109/INDISCON50162.2020.00047","url":null,"abstract":"The two stage three phase grid connected solar photovoltaic (SPV) system is used to power quality improvement using LCL filter under linear and unbalance load. The DC-DC power converter and DC-AC power converter is used to interfaced between the SPV and grid. Solar PV system is constructed by simplified single diode model (SSDM). The maximize the SSDM solar PV output voltage by using maximum power point (MPP) technique to switching of DC-DC power converter for boosting the SPV voltage. A three phase DC-AC power converter is used to convert boosted DC into AC and fed into the grid. To control the DC-AC power converter is used to controller by abc to dq, PLL, PI controller and PWM technique. The power quality improvement using LCL filter measure by FFT analysis in MATLAB/SIMULIK. The above effectiveness control of proposed technique of grid current THD is validate using simulation results.","PeriodicalId":371571,"journal":{"name":"2020 IEEE India Council International Subsections Conference (INDISCON)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121577601","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}
引用次数: 0
Distribution Energy Generation using Renewable Energy Sources 使用可再生能源的配电发电
2020 IEEE India Council International Subsections Conference (INDISCON) Pub Date : 2020-10-01 DOI: 10.1109/INDISCON50162.2020.00033
G. Lakshmi, O. Rubanenko, G. Divya, V. Lavanya
{"title":"Distribution Energy Generation using Renewable Energy Sources","authors":"G. Lakshmi, O. Rubanenko, G. Divya, V. Lavanya","doi":"10.1109/INDISCON50162.2020.00033","DOIUrl":"https://doi.org/10.1109/INDISCON50162.2020.00033","url":null,"abstract":"The future source of energy generation technologies is the Distribution Generation (DG), which allows the bidirectional flow of power within an electrical system. Many challenges have to be faced by the researchers to implement accurate and protected schemes for DG connected Distribution Network. This new technology uses Distributed generators varying from kW to MW at the load side, whereas the traditional centralized generator units sized from 100 MW to GW, which are located far away from the loads, where the natural resources are available. This paper gives the survey of various Distributed Generation systems which are practically coming into existence and getting added to the electric power generation. DGs along with their benefits, impacts, advantages and applications in the current energy world in the electrical power system are presented.","PeriodicalId":371571,"journal":{"name":"2020 IEEE India Council International Subsections Conference (INDISCON)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131691621","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}
引用次数: 11
Influenced Citation Analysis Using Modified Word Movers Distance (MWMD) 基于修正词移动距离(MWMD)的影响引文分析
2020 IEEE India Council International Subsections Conference (INDISCON) Pub Date : 2020-10-01 DOI: 10.1109/INDISCON50162.2020.00067
S. Muppidi, K. Thammi Reddy
{"title":"Influenced Citation Analysis Using Modified Word Movers Distance (MWMD)","authors":"S. Muppidi, K. Thammi Reddy","doi":"10.1109/INDISCON50162.2020.00067","DOIUrl":"https://doi.org/10.1109/INDISCON50162.2020.00067","url":null,"abstract":"Citation analysis is an essential part of the research to inculcate the potentiality of the work and giving credit to the researcher. Generally, citations are used by researchers for many purposes, however mainly it is used to show that the references influenced author's work. Now a day's most of the references influenced one way or other. The proposed model is used to find influenced citations in the scientific documents using a semantic approach rather than simple keyword matching. Generally, every scientific document contains references or a bibliography at the end of the document. The goal of the proposed technique is to discover the relevancy among scientific document and a list of reference papers in the same document in a semantic way. In this paper, the proposed work developed using the proposed semantic similarity measure called Modified Word Movers Distance (MWMD) applied to the deep learning model. Finally, the proposed work efficiently finds influenced citations percentage in the scientific documents.","PeriodicalId":371571,"journal":{"name":"2020 IEEE India Council International Subsections Conference (INDISCON)","volume":"581 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132021840","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}
引用次数: 0
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