2019 IEEE Canadian Conference of Electrical and Computer Engineering (CCECE)最新文献_第5页

Magnetic Saturation in Synchronous Generator Dynamic Models for Power System Stability Studies 同步发电机磁饱和动态模型用于电力系统稳定性研究

2019 IEEE Canadian Conference of Electrical and Computer Engineering (CCECE) Pub Date : 2019-05-05 DOI: 10.1109/CCECE.2019.8861532

Quincy Y. Wang, Yunfei Wang

引用次数: 2

The Weather Impact on Efficient Home Heating with Smart Thermostats 天气对智能恒温器高效家庭供暖的影响

2019 IEEE Canadian Conference of Electrical and Computer Engineering (CCECE) Pub Date : 2019-05-05 DOI: 10.1109/CCECE.2019.8861778

Michal Aibin

引用次数: 2

Augmenting Feeder Protection Dependability under High Penetration of DERs 在DERs高侵彻下增强馈线保护可靠性

2019 IEEE Canadian Conference of Electrical and Computer Engineering (CCECE) Pub Date : 2019-05-05 DOI: 10.1109/CCECE.2019.8861543

A. Nassif, H. Yazdanpanahi, R. Torquato, I. R. Pordanjani

引用次数: 0

Deep Learning: Edge-Cloud Data Analytics for IoT 深度学习:物联网边缘云数据分析

2019 IEEE Canadian Conference of Electrical and Computer Engineering (CCECE) Pub Date : 2019-05-05 DOI: 10.1109/CCECE.2019.8861806

A. M. Ghosh, Katarina Grolinger

{"title":"Deep Learning: Edge-Cloud Data Analytics for IoT","authors":"A. M. Ghosh, Katarina Grolinger","doi":"10.1109/CCECE.2019.8861806","DOIUrl":"https://doi.org/10.1109/CCECE.2019.8861806","url":null,"abstract":"Sensors, wearables, mobile and other Internet of Thing (IoT) devices are becoming increasingly integrated in all aspects of our lives. They are capable of collecting massive quantities of data that are typically transmitted to the cloud for processing. However, this results in increased network traffic and latencies. Edge computing has a potential to remedy these challenges by moving computation physically closer to the network edge where data are generated. However, edge computing does not have sufficient resources for complex data analytics tasks. Consequently, this paper investigates merging cloud and edge computing for IoT data analytics and presents a deep learning-based approach for data reduction on the edge with the machine learning on the cloud. The encoder part of the autoencoder is located on the edge to reduce data dimensions. Reduced data are sent to the cloud where there are used directly for machine learning or expanded to original features using the decoder part of the autoencoder. The proposed approach has been evaluated on the human activity recognition tasks. Results show that 50% data reduction did not have a significant impact on the classification accuracy and 77% reduction only caused 1% change.","PeriodicalId":352860,"journal":{"name":"2019 IEEE Canadian Conference of Electrical and Computer Engineering (CCECE)","volume":"275 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116424191","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: 35

Parallel GPU-Accelerated Spike Sorting 并行gpu加速尖峰排序

2019 IEEE Canadian Conference of Electrical and Computer Engineering (CCECE) Pub Date : 2019-05-05 DOI: 10.1109/CCECE.2019.8861978

Ian Schofield, A. Alimohammad

引用次数: 3

Teaching at the speed of Learning 以学的速度教

2019 IEEE Canadian Conference of Electrical and Computer Engineering (CCECE) Pub Date : 2019-05-05 DOI: 10.1109/CCECE.2019.8861870

Balbir Gill

引用次数: 0

Quantifying range extension capability of MIMO: a simulation study based on WINNER II model 基于WINNER II模型的MIMO范围扩展能力量化仿真研究

2019 IEEE Canadian Conference of Electrical and Computer Engineering (CCECE) Pub Date : 2019-05-05 DOI: 10.1109/CCECE.2019.8861854

Guillaume Couillard, G. Dahman, G. Poitau, F. Gagnon

引用次数: 1

64 MHz RF Exposure System for Testing of Implanted Medical Devices in MRI Applications 用于MRI应用中植入医疗设备测试的64mhz射频暴露系统

2019 IEEE Canadian Conference of Electrical and Computer Engineering (CCECE) Pub Date : 2019-05-05 DOI: 10.1109/CCECE.2019.8861577

Kieffer J. Davieau, A. Attaran, B. Chronik

{"title":"64 MHz RF Exposure System for Testing of Implanted Medical Devices in MRI Applications","authors":"Kieffer J. Davieau, A. Attaran, B. Chronik","doi":"10.1109/CCECE.2019.8861577","DOIUrl":"https://doi.org/10.1109/CCECE.2019.8861577","url":null,"abstract":"Currently whole-body transmit RF coils are the most common RF environment for testing. These RF exposure systems designed for testing of devices are commercially available and currently used in a clinical setting; however, even though head-only transmit/receive (TX/RCV) coils are available on MRI scanners, there is not a validated head-only RF exexposure system available for either 64 or 128 MHz. Testing of active implantable medical devices (AIMDs) is guided by the requirements described in ISO 10974:2018(E). Determining the effects radiofrequency (RF) fields have on AIMDS in an MRI system are of paramount importance. Implanted medical devices in the head and neck experience a different local electric field when being imaged head-only exexposure system. This is a significant difference in local electric field when exposed to a head-only transmit coil versus being exposed to a whole-body transmit coil. To adequately evaluate the safety of these devices in that environment, head-only RF exposure systems are needed. In this paper we summarize the steps in developing and validating a head-only RF exexposure system that is properly tuned to 64 MHz and matched to 50 Ω for the testing of implanted medical devices. These steps include the methods for simulating and developing a head-only RF exexposure system.","PeriodicalId":352860,"journal":{"name":"2019 IEEE Canadian Conference of Electrical and Computer Engineering (CCECE)","volume":"108 49","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120826263","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

Real-Time Modeling and Testing of Distance Protection Relay Based on IEC 61850 Protocol 基于iec61850协议的距离保护继电器实时建模与测试

2019 IEEE Canadian Conference of Electrical and Computer Engineering (CCECE) Pub Date : 2019-05-05 DOI: 10.1109/CCECE43985.2019.9052403

A. Delavari, C. Mugombozi, P. Brunelle, F. Guay

{"title":"Real-Time Modeling and Testing of Distance Protection Relay Based on IEC 61850 Protocol","authors":"A. Delavari, C. Mugombozi, P. Brunelle, F. Guay","doi":"10.1109/CCECE43985.2019.9052403","DOIUrl":"https://doi.org/10.1109/CCECE43985.2019.9052403","url":null,"abstract":"This paper contributes to the evaluation of the performance and the precision of the IEC 61850 protocol implementation for real-time simulation. The importance of this study stems from two facts. First, the simulation is a required stage of any design process including that of an IEC 61850 model of utilities which may include an automation system from two or more vendors. Second, verification of the vendor’s claim to be compliant with a specific edition of IEC 61850 relies in part on the simulation. We validate the interfacing of the IEC 61850 Generic Object Oriented Substation Events (GOOSE) and Sampled Values (SV) packets through the I/O modules of the simulation environment. In addition, this protocol interfacing is applied to validate a distance protection relay model using the IEC 61850 modules of GOOSE and SV in the HYPERSIM real-time simulator taking advantage of an SGI parallel supercomputer. The distance protection relay is implemented in Simulink, tested and validated with MATLAB Simscape Power Systems and imported into HYPERSIM via the HYPERLINK module. The simulation result has been evaluated in terms of reliability and time delay which play an important role for the communication and cyber systems in smart grids. This real-time simulation setup is valuable for prototyping, analysis and validation of control algorithms compliant with IEC 61850.","PeriodicalId":352860,"journal":{"name":"2019 IEEE Canadian Conference of Electrical and Computer Engineering (CCECE)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129800122","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: 7

Machine Learning with Digital Microfluidics for Drug Discovery and Development 机器学习与数字微流体的药物发现和开发

2019 IEEE Canadian Conference of Electrical and Computer Engineering (CCECE) Pub Date : 2019-05-05 DOI: 10.1109/CCECE.2019.8861842

Shadi Momtahen, Furat Al-Obaidy, F. Mohammadi

引用次数: 5