2020 International Conference on Computational Performance Evaluation (ComPE)最新文献_第4页

Quantification of regenerative braking energy in a two-wheeler incorporating various duty cycles 结合不同占空比的两轮车再生制动能量的量化

2020 International Conference on Computational Performance Evaluation (ComPE) Pub Date : 2020-07-01 DOI: 10.1109/ComPE49325.2020.9200012

Satvik Sabarad, Shubham Gupta

{"title":"Quantification of regenerative braking energy in a two-wheeler incorporating various duty cycles","authors":"Satvik Sabarad, Shubham Gupta","doi":"10.1109/ComPE49325.2020.9200012","DOIUrl":"https://doi.org/10.1109/ComPE49325.2020.9200012","url":null,"abstract":"With a massive leap of increment in overall energy efficiency through the paradigm shift from internal combustion engine vehicles to electric vehicles (EVs), people have evolved their ways to make the transition towards sustainable transportation. Regenerative braking in the automobiles is considered as one of the efficient ways to recover the energy wasted during braking of a vehicle. It is also a practical approach for EVs to extend their driving range. The energy accumulated due to regenerative braking heavily depends on the driving style and traffic conditions. There is much research done in the past related to regenerative braking but inculcation of driving style and traffic conditions in the quantification of energy is limited. The originality of this study is to determine if the regenerative braking is effective for an electric vehicle over a particular duty cycle. This work presents a physical data acquisition setup, which consists of various sensors, data recorders, and micro-controllers that acquire the driving data like velocities at different instances, coasting distance and duration from the vehicle. This work also proposes a mathematical model that uses the acquired data to quantify the amount of energy generated over a duty cycle in a particular electric vehicle. Currently, a two-wheeler electric bike is considered for the quantification of regenerated braking energy over various duty cycles viz. urban, semi-urban, and highway driving. The physical setup and the process of quantification can be extended to various electric vehicles to quantify the regenerative braking energy over different duty cycles. A different approach of energy conservation method is demonstrated for the development of the mathematical model to accurately quantify the regenerated braking energy. This work also focuses on the comparison of energy generated due to regenerative braking between a two-wheeler electric and internal combustion vehicle.","PeriodicalId":6804,"journal":{"name":"2020 International Conference on Computational Performance Evaluation (ComPE)","volume":"40 1","pages":"469-474"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90622544","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

Framework for FOGIoT based Smart Video Surveillance System (SVSS) 基于FOGIoT的智能视频监控系统框架

2020 International Conference on Computational Performance Evaluation (ComPE) Pub Date : 2020-07-01 DOI: 10.1109/ComPE49325.2020.9200153

Ketanpreet Kaur, Vikrant Sharma, M. Sachdeva

引用次数: 0

Performance Comparison of FOD based Edge Detector and Traditional Edge Detectors on Fish Image Edge Detection 基于FOD的边缘检测器与传统边缘检测器在鱼类图像边缘检测中的性能比较

2020 International Conference on Computational Performance Evaluation (ComPE) Pub Date : 2020-07-01 DOI: 10.1109/ComPE49325.2020.9200022

Jayashree Deka, S. Laskar

引用次数: 0

Design and Optimization of a Microheater for the Application of Indium Tin Oxide (ITO) based Gas Sensor in VOC Detection 用于氧化铟锡(ITO)气体传感器VOC检测的微加热器设计与优化

2020 International Conference on Computational Performance Evaluation (ComPE) Pub Date : 2020-07-01 DOI: 10.1109/ComPE49325.2020.9200165

Chayanika Sharma, Utpal Sarma

引用次数: 0

Sleep Classification using CNN and RNN on Raw EEG Single-Channel 基于CNN和RNN的原始EEG单通道睡眠分类

2020 International Conference on Computational Performance Evaluation (ComPE) Pub Date : 2020-07-01 DOI: 10.1109/ComPE49325.2020.9200002

S. Mishra, Rajesh Birok

{"title":"Sleep Classification using CNN and RNN on Raw EEG Single-Channel","authors":"S. Mishra, Rajesh Birok","doi":"10.1109/ComPE49325.2020.9200002","DOIUrl":"https://doi.org/10.1109/ComPE49325.2020.9200002","url":null,"abstract":"Automated neurocognitive performance assessment (NCP) of a subject is a pertinent theme in neurological and medical studies. NCP signifies the human mental/cognitive ability to perform any allocated job. It is hard to establish any certain methodology for research since the NCP switches the subject in an unknown manner. Sleep is a neurocognitive performance that varies in time and can be used to learn new NCP techniques. A detailed electroencephalographic signals (EEG) study and understanding of human sleep are important for a proper NCP assessment. However, sleep deprivation can cause prominent cognitive risks while carrying out activities like driving, and can even lead to lack of concentration in individuals. Controlling a generic unit in non-rapid eye movement (NREM), which is the first phase of sleep or stage N1is highly important in NCP study.Our method is built on RNN-LSTM which classifies different sleep stages using raw EEG single-channel which is obtained from the openly available sleep-EDF dataset. The single raw channel helps classify the REM stage particularly, because a single raw channel, human motion, and movement are not considered. The features selected constituted as the RNNs network inputs. The goal of this work is to efficiently classify the performance in sleep stage N1, as well as improvement in the subsequent stages of sleep.","PeriodicalId":6804,"journal":{"name":"2020 International Conference on Computational Performance Evaluation (ComPE)","volume":"1 1","pages":"232-237"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77524547","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

A Review on Solution to Class Imbalance Problem: Undersampling Approaches 类不平衡问题的求解综述:欠抽样方法

2020 International Conference on Computational Performance Evaluation (ComPE) Pub Date : 2020-07-01 DOI: 10.1109/ComPE49325.2020.9200087

D. Devi, S. Biswas, B. Purkayastha

引用次数: 19

Low-voltage BD-FC-OTA based-DO-CCII and its Applications for Low-Frequency Signal Processing 基于低压BD-FC-OTA的do - ccii及其在低频信号处理中的应用

2020 International Conference on Computational Performance Evaluation (ComPE) Pub Date : 2020-07-01 DOI: 10.1109/ComPE49325.2020.9199999

Tripurari Sharan, Akho John Richa

{"title":"Low-voltage BD-FC-OTA based-DO-CCII and its Applications for Low-Frequency Signal Processing","authors":"Tripurari Sharan, Akho John Richa","doi":"10.1109/ComPE49325.2020.9199999","DOIUrl":"https://doi.org/10.1109/ComPE49325.2020.9199999","url":null,"abstract":"This paper presents a positive and negative both of second-generation current conveyor (DO-CCII) cell as a single circuit. The input core of this cell has utilized an adaptively biased bulk-driven pMOS input pair and folded cascode load based OTA. This OTA section has ensured GBW, PM and CMRR of 13.7 kHz, 86.5 degree and 113 dB, respectively with a 15 pF load capacitor and a ± 0.25 V bias supply. The OTA section provided a wide input common mode range, wide output signal swing with good linearity. The output section of DO-CCII cell uses two CMOS inverter to yield its X and Z+ terminals whereas its Z− terminal is generated by using cross coupled low-voltage current mirrors. The DO-CCII cell has provided wide voltage and current DC sweep range with very good linearity. When measured between the frequency ranges of 1 Hz to 100 kHz, the voltage gain and current gains are found to be close to unity. The designed DO-CCII cells have been utilized in design of current mode SIMO filter, oscillator and variable gain current mode instrumentation amplifier (CMIA) which confirms its usability in small frequency bio-signal processing applications. These circuits have been simulated in 180 nm CMOS bulk process technology using Tanner EDA tool of version 16.1.","PeriodicalId":6804,"journal":{"name":"2020 International Conference on Computational Performance Evaluation (ComPE)","volume":"71 1","pages":"584-591"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78185600","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

Depletion Width Modelling of Surrounded Channel Junctionless Field Effect Transistor 包围沟道无结场效应晶体管耗尽宽度模型

2020 International Conference on Computational Performance Evaluation (ComPE) Pub Date : 2020-07-01 DOI: 10.1109/ComPE49325.2020.9200004

N. Das, Kaushik Chandra Deva Sarma

引用次数: 0

Undoped Junctionless Field Effect Transistor 无掺杂无结场效应晶体管

2020 International Conference on Computational Performance Evaluation (ComPE) Pub Date : 2020-07-01 DOI: 10.1109/ComPE49325.2020.9200000

A. K. Raibaruah, Angshumala Talukdar, Kaushik Chandra Deva Sarma

引用次数: 1

Interference Model for NMDA Receptor NMDA受体干扰模型

2020 International Conference on Computational Performance Evaluation (ComPE) Pub Date : 2020-07-01 DOI: 10.1109/ComPE49325.2020.9200144

Bolivia Konthoujam, Satyabrat Malla Bujar Baruah, Soumik Roy

引用次数: 0