2017 4th IEEE Uttar Pradesh Section International Conference on Electrical, Computer and Electronics (UPCON)最新文献_第2页

Comparison of advance intelligence algorithms for maximum power point tracking 最大功率点跟踪的先进智能算法比较

2017 4th IEEE Uttar Pradesh Section International Conference on Electrical, Computer and Electronics (UPCON) Pub Date : 2017-10-01 DOI: 10.1109/UPCON.2017.8251058

Gitanjali Mehta, M. Dwivedi, V. Yadav

{"title":"Comparison of advance intelligence algorithms for maximum power point tracking","authors":"Gitanjali Mehta, M. Dwivedi, V. Yadav","doi":"10.1109/UPCON.2017.8251058","DOIUrl":"https://doi.org/10.1109/UPCON.2017.8251058","url":null,"abstract":"In order to mitigate the detrimental impact of energy generation through fossil fuel on environment, the world is continually moving towards more and more use of Renewable Energy Technologies (RET). Amongst RETs Photovoltaic (PV) energy now has become most attractive as it is abundantly available and presently commercially comparable to conventional energy. To extract maximum power from PV arrays Maximum Power Point Tracking (MPPT) techniques are used. However, conventional MPPT algorithms perform well in uniform irradiance condition but ineffective in partial shaded condition (PSC). This demands development of efficient optimization techniques which are capable of seeking the global maximum power point effectively in PV systems under PSC. In the paper, performance comparison of conventional MPPT techniques (Perturb and Observe and Incremental Conductance) and techniques using advanced intelligence algorithms (Particle Swarm Optimization and Fire Fly) has been done under uniform irradiance and PSC in terms of efficiency, convergence speed, oscillations in output etc.","PeriodicalId":422673,"journal":{"name":"2017 4th IEEE Uttar Pradesh Section International Conference on Electrical, Computer and Electronics (UPCON)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114322668","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: 3

A literature review on cross project defect prediction 跨项目缺陷预测文献综述

2017 4th IEEE Uttar Pradesh Section International Conference on Electrical, Computer and Electronics (UPCON) Pub Date : 2017-10-01 DOI: 10.1109/UPCON.2017.8251131

Lipika Goel, D. Damodaran, S. Khatri, Mayank Sharma

引用次数: 11

Optimum QMF bank based ECG data compression 基于最优QMF库的心电数据压缩

2017 4th IEEE Uttar Pradesh Section International Conference on Electrical, Computer and Electronics (UPCON) Pub Date : 2017-10-01 DOI: 10.1109/UPCON.2017.8251033

S. Chandra, Ambalika Sharma

{"title":"Optimum QMF bank based ECG data compression","authors":"S. Chandra, Ambalika Sharma","doi":"10.1109/UPCON.2017.8251033","DOIUrl":"https://doi.org/10.1109/UPCON.2017.8251033","url":null,"abstract":"This work presents a new Electrocardiogram (ECG) data compression technique based on the optimum two channel quadrature mirror filter (QMF) bank. Firstly, prototype filter is designed using ParksMcClellan algorithm. To avoid amplitude distortion linear optimization technique is used by varying passband edge frequency of prototype filter. Than after, QMF bank is designed by optimized prototype filter. Data compression is done by decomposing the signal using optimum QMF bank and truncates the irrelevant coefficients using level thresholding. Further, Run-Length Encoding (RLE) is applied to improve the compression performance. The proposed method is tested using MIT-BIH database. The performance is estimated by different parameters viz., the compression ratio (CR), percentage root-mean-square difference (PRD), signal to noise ratio (SNR), and quality score (QS). Experimental results show that proposed method provides QS up to 20.10 and table of comparison shows that this work is better than several other existing methods in terms of CR and PRD. Diagnostic information of both original and reconstructed signals is compared, which shows both signals have same diagnostic information.","PeriodicalId":422673,"journal":{"name":"2017 4th IEEE Uttar Pradesh Section International Conference on Electrical, Computer and Electronics (UPCON)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131374819","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

Analysis of beaconing performance in IEEE 802.11p on vehicular ad-hoc environment 车载ad-hoc环境下IEEE 802.11p信标性能分析

2017 4th IEEE Uttar Pradesh Section International Conference on Electrical, Computer and Electronics (UPCON) Pub Date : 2017-10-01 DOI: 10.1109/UPCON.2017.8251133

Ravi Tomar, M. Prateek, Hanumat G. Sastry

{"title":"Analysis of beaconing performance in IEEE 802.11p on vehicular ad-hoc environment","authors":"Ravi Tomar, M. Prateek, Hanumat G. Sastry","doi":"10.1109/UPCON.2017.8251133","DOIUrl":"https://doi.org/10.1109/UPCON.2017.8251133","url":null,"abstract":"VANET is special kind of Mobile Ad-hoc Network(MANET), rapid change in mobile nodes(car/vehicles) in case of VANET makes it different from MANET while sharing all other features of MANET. VANET has many advantages including minimising traffic, reducing car accidents, co-operative awareness, and environmental safety by monitoring CO2 emission. All these applications require proper information dissemination among nodes. This is achieved through Vehicle to Vehicle (V2V), Vehicle to Infrastructure (V2I) or a hybrid approach. For this communication, U.S. FCC allotted Dedicated Short-Range Communication (DSRC) spectrum of 75MHz in the frequency band of 5GHz(5.85 GHz to 5.925 GHz) [1]. This 75MHz spectrum is divided into seven 10 MHz-wide channels, One channel is the control channel (CCH) and the remaining six channels are the service channels (SCHs). Short messages are exchanged among the nodes to create cooperative awareness. These short messages are referred as Beacons, and the process is called as beaconing. Beaconing is always carried on CCH. This paper provides analysis of the beaconing performance of IEEE 802.11p when only the control channel is used for beaconing. Simulation experiments are conducted using OMNET++ and VEINS framework. SUMO is used to create the platoon of vehicles being deployed on the model and beaconing performance is evaluated using different intervals.","PeriodicalId":422673,"journal":{"name":"2017 4th IEEE Uttar Pradesh Section International Conference on Electrical, Computer and Electronics (UPCON)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133734801","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: 13

Prediction of heart disease using hybrid technique for selecting features 利用杂交技术选择特征预测心脏病

2017 4th IEEE Uttar Pradesh Section International Conference on Electrical, Computer and Electronics (UPCON) Pub Date : 2017-10-01 DOI: 10.1109/UPCON.2017.8251100

K. Pahwa, Ravinder Kumar

引用次数: 42

Design of autonomous solar powered SRM based agriculture pump utilizing novel central switch DC-DC converter 基于新型中心开关DC-DC转换器的自主太阳能SRM农业泵设计

2017 4th IEEE Uttar Pradesh Section International Conference on Electrical, Computer and Electronics (UPCON) Pub Date : 2017-10-01 DOI: 10.1109/UPCON.2017.8251109

A. Mishra, Bhim Singh

{"title":"Design of autonomous solar powered SRM based agriculture pump utilizing novel central switch DC-DC converter","authors":"A. Mishra, Bhim Singh","doi":"10.1109/UPCON.2017.8251109","DOIUrl":"https://doi.org/10.1109/UPCON.2017.8251109","url":null,"abstract":"The present work is targeted to the development of a self-assisted photovoltaic (PV) array energized agriculture pump employing a switched reluctance motor (SRM) drive. A novel central switch DC-DC converter is utilizes in proposed system to optimize the output power of PV array, without usingany input PV capacitance. The continuous conduction mode (CCM) operation of central switch DC-DC converter considerably reduces the stresses on its components. This mode of operation also helps to enhance the DC-DC converter performance. The fundamental switching of a mid-point converter minimizes the switching losses and improves the overall system efficiency. An inherent problem of self-starting of 4-phase SRM is also overcome in the proposed system. The speed control of the drive via variable DC link voltage helps to completely eliminate the voltage and current sensors from motor side and makes system inexpensive. The proposed topology is designed and modeled using MATLAB/Simulink platform and its performance is validated through developed prototype in the laboratory.","PeriodicalId":422673,"journal":{"name":"2017 4th IEEE Uttar Pradesh Section International Conference on Electrical, Computer and Electronics (UPCON)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123514265","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

Application of genetic algorithm by influencing the crossover parameters for multiple sequence alignment 影响交叉参数的遗传算法在多序列比对中的应用

2017 4th IEEE Uttar Pradesh Section International Conference on Electrical, Computer and Electronics (UPCON) Pub Date : 2017-10-01 DOI: 10.1109/UPCON.2017.8251018

R. R. Rani, D. Ramyachitra

{"title":"Application of genetic algorithm by influencing the crossover parameters for multiple sequence alignment","authors":"R. R. Rani, D. Ramyachitra","doi":"10.1109/UPCON.2017.8251018","DOIUrl":"https://doi.org/10.1109/UPCON.2017.8251018","url":null,"abstract":"In Bioinformatics, the more standard approach to identify the protein functionalities, protein structures, pattern identification and evolutionary relationships between the organisms are possible using the sequence alignment. The similarity of sequences is found between the organisms by using RNA/DNA/Nucleotide sequences. Multiple Sequence Alignment is denoted as MSA is a method of arranging three, or further whole sequences simultaneously to find the similarity between them which leads to identify biological factors such as Drug design, the function of the protein, etc. In this paper, an upgraded Genetic Algorithm has been projected to discover an optimum solution for MSA by influencing different crossover parameters. For generating and preserving the variety of candidate solutions, the various classes of crossover operators are responsible. Also, the multi-objective optimization (MOO) technique was employed by maximizing the sequence similarity and minimizing the gap penalty to obtain the Pareto front optimal solution. The benchmark database named BAliBASE 3.0 was employed to evaluate the achievement of different crossover operators which influences the quality of sequence alignment. The final outcome revealed the significant enhancement in the sequence alignment with the influence of crossover operators. The results have been compared with online efficient tools such as T-Coffee, Clustal Q, MAFFT and Kalign and other optimization algorithms such as Particle Swarm Optimization (PSO), Ant Colony Optimization (ACO), Genetic Algorithm (GA) and Artificial Bee Colony (ABC) algorithm and found that the projected method achieves improved results.","PeriodicalId":422673,"journal":{"name":"2017 4th IEEE Uttar Pradesh Section International Conference on Electrical, Computer and Electronics (UPCON)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122061739","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: 3

Automated computer vision method for lesion segmentation from digital dermoscopic images 数字皮肤镜图像病灶分割的自动计算机视觉方法

2017 4th IEEE Uttar Pradesh Section International Conference on Electrical, Computer and Electronics (UPCON) Pub Date : 2017-10-01 DOI: 10.1109/UPCON.2017.8251107

Ashi Agarwal, Ashish Issac, M. Dutta, Viktoria Doneva, Z. Ivanovski

引用次数: 5

Iterative machine and deep learning approach for aviation delay prediction 航空延误预测的迭代机与深度学习方法

2017 4th IEEE Uttar Pradesh Section International Conference on Electrical, Computer and Electronics (UPCON) Pub Date : 2017-10-01 DOI: 10.1109/UPCON.2017.8251111

V. Venkatesh, Arti Arya, Pooja Agarwal, S. Lakshmi, Sanjay Balana

{"title":"Iterative machine and deep learning approach for aviation delay prediction","authors":"V. Venkatesh, Arti Arya, Pooja Agarwal, S. Lakshmi, Sanjay Balana","doi":"10.1109/UPCON.2017.8251111","DOIUrl":"https://doi.org/10.1109/UPCON.2017.8251111","url":null,"abstract":"In the aviation industry, flight arrival delays cause approximately 18 billion of loss to customers as stated in the literature. So, it becomes inevitable on the part of the aviation authorities to predict such delays and take necessary action to fix this loss for customer satisfaction. In this paper, an approach based on machine learning techniques is proposed that predicts the flight arrival delays considering input parameters ranging from distance to their corresponding weather details to make a decision of whether the specific flight is delayed or not. It makes use of neural networks and deep learning concepts to estimate flight delay. The proposed approach is tested on real world flight big dataset that gives an accuracy of 77% using deep nets and 89% using neural nets. This approach can achieve reliable prediction with respect to if flight arrival delay is to be expected or not, moving forward the use of such a model can come in handy not only for airline administrators but also the passengers who can rearrange their schedules and arrange accommodation.","PeriodicalId":422673,"journal":{"name":"2017 4th IEEE Uttar Pradesh Section International Conference on Electrical, Computer and Electronics (UPCON)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129090900","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: 19

Model order reduction via time moment modeling and clustering technique 通过时间矩建模和聚类技术降低模型阶数

2017 4th IEEE Uttar Pradesh Section International Conference on Electrical, Computer and Electronics (UPCON) Pub Date : 2017-10-01 DOI: 10.1109/UPCON.2017.8251124

Rahul Singh, V. M. Mishra, J. Singh

引用次数: 2