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2021 IEEE 3rd International Conference on Circuits and Systems (ICCS)最新文献

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Design of Heating Simulator for Satellite Active Thermal Control System 卫星主动热控系统加热模拟器设计
2021 IEEE 3rd International Conference on Circuits and Systems (ICCS) Pub Date : 2021-10-29 DOI: 10.1109/ICCS52645.2021.9697239
Congru Yin, Ming Yan, Lin Han
{"title":"Design of Heating Simulator for Satellite Active Thermal Control System","authors":"Congru Yin, Ming Yan, Lin Han","doi":"10.1109/ICCS52645.2021.9697239","DOIUrl":"https://doi.org/10.1109/ICCS52645.2021.9697239","url":null,"abstract":"Thermal control subsystem is one of the important support systems in satellite systems, the system’s advantages and reliability directly affect the working condition and service life of other systems. This paper introduces a heating simulator, which is used for testing the temperature controller of satellite active thermal control system. It can not only realize the synchronous test of multiple circuits but also the versatility of multiple models, improve the efficiency of temperature controller heater test, and provide guarantee for the development, production and testing of satellite thermal control subsystem","PeriodicalId":163200,"journal":{"name":"2021 IEEE 3rd International Conference on Circuits and Systems (ICCS)","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114224584","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
A Neuromorphic Computing Platform with Compact Neuromorphic Core 具有紧凑型神经形态核心的神经形态计算平台
2021 IEEE 3rd International Conference on Circuits and Systems (ICCS) Pub Date : 2021-10-29 DOI: 10.1109/ICCS52645.2021.9697293
P. Zhou, Shaogang Hu
{"title":"A Neuromorphic Computing Platform with Compact Neuromorphic Core","authors":"P. Zhou, Shaogang Hu","doi":"10.1109/ICCS52645.2021.9697293","DOIUrl":"https://doi.org/10.1109/ICCS52645.2021.9697293","url":null,"abstract":"With the rapid development of brain-like computing, large-scale neural computing platforms have received much attention. In order to reduce hardware overhead and build a large-scale neural computing platform, this work proposes a compact neuromorphic core model. Through the use of neuron multiplexing technology and weight clustering algorithm, we built a compact and versatile neuromorphic computing core that integrates 1K neurons and 1M synapses through 588 LUTs. Based on the core design, we propose a large-scale neuromorphic system. This neuromorphic computing platform integrates 64 neuromorphic cores and related control components. We successfully deployed this platform on Xilinx’s FPGA-Vertex-6 platform. We successfully deployed a three-layered spiking neural network (SNN) for image recognition and achieved 98.41% recognition accuracy through this platform.","PeriodicalId":163200,"journal":{"name":"2021 IEEE 3rd International Conference on Circuits and Systems (ICCS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130433027","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 Fast Transient Response Capacitor-Less LDO with 123 nA Ultra-Low Quiescent Current 一种123 nA超低静态电流的快速瞬态响应无电容LDO
2021 IEEE 3rd International Conference on Circuits and Systems (ICCS) Pub Date : 2021-10-29 DOI: 10.1109/ICCS52645.2021.9697200
Xuhong Li, Tao Wang, Runxi Zhang, C. Shi
{"title":"A Fast Transient Response Capacitor-Less LDO with 123 nA Ultra-Low Quiescent Current","authors":"Xuhong Li, Tao Wang, Runxi Zhang, C. Shi","doi":"10.1109/ICCS52645.2021.9697200","DOIUrl":"https://doi.org/10.1109/ICCS52645.2021.9697200","url":null,"abstract":"This paper presents an output capacitor-less, NMOS regulation FET low-dropout regulator (LDO) with fast load transient response in 55 nm CMOS process. The LDO employs a push-pull error amplifier to achieve high slew rate at low quiescent current and a bidirectional dynamic biasing technique to further improve the load transient response, with barely extra quiescent current. The error amplifier includes a common-gate input stage, whose low input resistance improves stability of the LDO over a wide range of load currents. Due to the low output impedance, NMOS regulation FET is used to improve the transient response. The simulated results show that the LDO with a power supply range from 2.5 to 3.6 V achieves a stable 1.2 V output. When the load current changes in the range of 200 μA - 10 mA with a rise time and a fall time of 200 ns, the LDO can settle within 2.7 μs under a quiescent current of 123 nA.","PeriodicalId":163200,"journal":{"name":"2021 IEEE 3rd International Conference on Circuits and Systems (ICCS)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129665450","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 Lightning Performance of 220kV and above Overhead Transmission Lines with Surge Arresters 220kV及以上架空线路避雷器防雷性能分析
2021 IEEE 3rd International Conference on Circuits and Systems (ICCS) Pub Date : 2021-10-29 DOI: 10.1109/ICCS52645.2021.9697289
Xiangxian Zhou, Zhengguo Wang, Shaohua Wang, Bin Liu, Yan Liu, Li Liu, Danyu Li, Te Li
{"title":"Analysis of Lightning Performance of 220kV and above Overhead Transmission Lines with Surge Arresters","authors":"Xiangxian Zhou, Zhengguo Wang, Shaohua Wang, Bin Liu, Yan Liu, Li Liu, Danyu Li, Te Li","doi":"10.1109/ICCS52645.2021.9697289","DOIUrl":"https://doi.org/10.1109/ICCS52645.2021.9697289","url":null,"abstract":"Lightning causes about 60% of all the 220kV and above transmission line trip-outs in Zhejiang province which threats the stability of the power system. To reduce the lightning trip-out rate, the State Zhejiang Electric Company started Large-scale surge arrester installation from 2016. This work first collected operation data and surge arrester data from the 220kV and above overhead transmission lines in Zhejiang province, then the influence of the surge arresters to the lightning performance of the transmission lines is evaluated. The results presented in this work can provide experience to the future installation of surge arresters.","PeriodicalId":163200,"journal":{"name":"2021 IEEE 3rd International Conference on Circuits and Systems (ICCS)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126704474","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
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