2019 IEEE Canadian Conference of Electrical and Computer Engineering (CCECE)最新文献_第10页

Scalable Blockchain-based Architecture for Massive IoT Reconfiguration 大规模物联网重构的可扩展区块链架构

2019 IEEE Canadian Conference of Electrical and Computer Engineering (CCECE) Pub Date : 2019-05-05 DOI: 10.1109/CCECE.2019.8861858

Quang Le-Dang, T. Le-Ngoc

引用次数: 9

Comparative Characteristic Analysis of Circular and Double D Power Pads for Electric Vehicle Wireless Charging Systems 电动汽车无线充电系统中圆形和双D电源垫的比较特性分析

2019 IEEE Canadian Conference of Electrical and Computer Engineering (CCECE) Pub Date : 2019-05-05 DOI: 10.1109/CCECE.2019.8861733

Muhammad Sifatul Alam Chowdhury, Xiaodong Liang

引用次数: 2

From natural language to graph queries 从自然语言到图形查询

2019 IEEE Canadian Conference of Electrical and Computer Engineering (CCECE) Pub Date : 2019-05-05 DOI: 10.1109/CCECE.2019.8861892

Gaétan Hains, Y. Khmelevsky, Thibaut Tachon

{"title":"From natural language to graph queries","authors":"Gaétan Hains, Y. Khmelevsky, Thibaut Tachon","doi":"10.1109/CCECE.2019.8861892","DOIUrl":"https://doi.org/10.1109/CCECE.2019.8861892","url":null,"abstract":"Automatic code generation can drastically improve software (SW) engineering and SW development projects. In the last decade we have been conducting research which has been advancing the field of code generators for small and mid-size Web-based DBMS systems [4], [5], [7]. We developed a number of tool prototypes for automatic source code debugging by the source-to-source code transformation for real C and C++ applications [8]. Additionally we investigated Natural Language Processing (NLP) for software code generation and application of it to Graph databases. Graph databases are becoming more and more popular for their applications in Artificial Intelligence (AI) systems, social analytics and many other fields. Query languages like Cypher allow users to search them without direct programming. But even queries of modest complexity like “relatives in a family & friends graph” require some skill to write. In this paper we describe the use of natural language as a more intuitive interface for untrained users and demonstrate 3 use-cases, where translation of typical English phrases to OpenCypher and/or specialized graph engines like Huawei EYWA.","PeriodicalId":352860,"journal":{"name":"2019 IEEE Canadian Conference of Electrical and Computer Engineering (CCECE)","volume":"39 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":"123364839","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: 5

Blockchain-Based Privacy-Preserving Healthcare Architecture 基于区块链的隐私保护医疗架构

2019 IEEE Canadian Conference of Electrical and Computer Engineering (CCECE) Pub Date : 2019-05-05 DOI: 10.1109/CCECE.2019.8861857

Koosha Mohammad Hossein, M. Esmaeili, T. Dargahi, A. Khonsari

{"title":"Blockchain-Based Privacy-Preserving Healthcare Architecture","authors":"Koosha Mohammad Hossein, M. Esmaeili, T. Dargahi, A. Khonsari","doi":"10.1109/CCECE.2019.8861857","DOIUrl":"https://doi.org/10.1109/CCECE.2019.8861857","url":null,"abstract":"Since the introduction of Internet of Things (IoT), e-health has become one of the main research topics. Due to the sensitivity of patient data, preserving the privacy of patients appears to be challenging. In healthcare applications, patient data are usually stored in the cloud, which makes it difficult for the users to have enough control over their data. However, due to the General Data Protection Regulation (GDPR), it is the data subject’s right to know where and how his data has been stored, who can access his data and to what extent. In this paper, we propose a blockchain-based architecture for e-health applications which provides an efficient privacy-preserving access control mechanism. We take advantage of Blockchain (BC) special features, i.e., immutability and anonymity of users, while modifying the classic blockchain structure in order to overcome its challenges in IoT applications (i.e., low throughput, high overhead and latency). To this end, we cluster the miners of BC, store and process data at the nearest cluster to the patient. While our proposal is a work in progress, we provide a security analysis of our proposed architecture.","PeriodicalId":352860,"journal":{"name":"2019 IEEE Canadian Conference of Electrical and Computer Engineering (CCECE)","volume":"82 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":"124124179","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: 51

Classification of Motor Imagery Tasks using Phase Space Reconstruction and Empirical Mode Decomposition 基于相空间重构和经验模式分解的运动图像任务分类

2019 IEEE Canadian Conference of Electrical and Computer Engineering (CCECE) Pub Date : 2019-05-05 DOI: 10.1109/CCECE.2019.8861732

Niraj Bagh, R. Machireddy, Fatemeh Shahlaei

{"title":"Classification of Motor Imagery Tasks using Phase Space Reconstruction and Empirical Mode Decomposition","authors":"Niraj Bagh, R. Machireddy, Fatemeh Shahlaei","doi":"10.1109/CCECE.2019.8861732","DOIUrl":"https://doi.org/10.1109/CCECE.2019.8861732","url":null,"abstract":"Motor imagery (MI) based brain computer interface (BCI) is an assistive device for the motor disabled people. But it has limited applications due to its lower classification performance. To enhance the performance, this paper introduces an efficient method for the detection of both left and right hand MI tasks of the subject using phase space reconstruction (PSR) and empirical mode decomposition (EMD). First, EMD was employed on MI-EEG signals to obtain a set of band limited functions called as intrinsic mode functions (IMFs). To study the MI activities, the IMFs whose main frequency lies between 8– 30 Hz (i.e. sensorimotor frequency band) were selected. On the other hand, PSR was applied to the selected IMFs followed by the extraction of MI features. At last, the significant features (p¡0.05) extracted from one-way analysis of variance (ANOVA) were fed into different machine learning models such as logistic regression (LR), Naive Bayes (NB) and support vector machine (SVM) to detect MI tasks. The proposed method and the classifiers were tested on BCI competition 2003 MI dataset. The results show that the SVM improved the classification accuracy upto 4.27% with better performance (i.e. % CA=96.67%, K=0.93 and Auc=0.96) and outperformed the existing methods reported in the literature (maximum % CA=92.40%).","PeriodicalId":352860,"journal":{"name":"2019 IEEE Canadian Conference of Electrical and Computer Engineering (CCECE)","volume":"41 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":"123102467","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

A Strategy of QoS Optimization for Web Services Web服务的QoS优化策略

2019 IEEE Canadian Conference of Electrical and Computer Engineering (CCECE) Pub Date : 2019-05-05 DOI: 10.1109/CCECE43985.2019.9052392

Xiaobu Yuan, Peng Cheng

引用次数: 1

The Western University - Nunavut Arctic College CubeSat Project 西部大学-努纳武特北极学院立方体卫星项目

2019 IEEE Canadian Conference of Electrical and Computer Engineering (CCECE) Pub Date : 2019-05-05 DOI: 10.1109/CCECE.2019.8861905

M. Cross, J. Sabarinathan, M. Bourassa, G. Osinski

引用次数: 1

Broken Rotor Bar Fault Diagnosis for Induction Motors Using Power Spectral Density and Complex Continuous Wavelet Transform Methods 基于功率谱密度和复连续小波变换的异步电动机转子断条故障诊断

2019 IEEE Canadian Conference of Electrical and Computer Engineering (CCECE) Pub Date : 2019-05-05 DOI: 10.1109/CCECE.2019.8861517

Shafi Md. Kawsar Zaman, H. Marma, Xiaodong Liang

{"title":"Broken Rotor Bar Fault Diagnosis for Induction Motors Using Power Spectral Density and Complex Continuous Wavelet Transform Methods","authors":"Shafi Md. Kawsar Zaman, H. Marma, Xiaodong Liang","doi":"10.1109/CCECE.2019.8861517","DOIUrl":"https://doi.org/10.1109/CCECE.2019.8861517","url":null,"abstract":"Induction motors are widely used in various industrial sectors, fault diagnosis of induction motors are critical to prevent equipment failure and production downtime. In this paper, a stator current signature analysis method is proposed for squirrel cage induction motors’ broken rotor bar (BRB) fault diagnosis. Two different techniques are implemented: Power Spectral Density (PSD) based stator currents’ amplitude spectrum analysis; and one dimensional Complex Continuous Wavelet Transform (CWT) based stator currents’ time-scale spectrum analysis using Complex Morlet Wavelet (CMW). The performance of the two techniques are compared using experimental stator current data measured in a lab for a 0.25 HP induction motor. The stator current under healthy and faulty states of the motor were measured, the faults include one, two and three BRBs. For 2 and 3 BRB faults, the holes were drilled on the rotor bars 90 degree apart. Two loading conditions of the motor were used during the measurement, 30% and 85%. It is found that the CWT has better performance than the PSD estimates for the BRB fault detection.","PeriodicalId":352860,"journal":{"name":"2019 IEEE Canadian Conference of Electrical and Computer Engineering (CCECE)","volume":"65 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":"115928416","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: 9

A Low-Latency Reconfigurable Multistage Interconnection Network 低延迟可重构多级互联网络

2019 IEEE Canadian Conference of Electrical and Computer Engineering (CCECE) Pub Date : 2019-05-05 DOI: 10.1109/CCECE.2019.8861540

F. Montano, T. Ould-Bachir, J. Mahseredjian, J. David

引用次数: 3

Comparative analysis of different methods for fruit quality determination 不同果实品质测定方法的比较分析

2019 IEEE Canadian Conference of Electrical and Computer Engineering (CCECE) Pub Date : 2019-05-05 DOI: 10.1109/CCECE43985.2019.9052401

K. K. Patel, H. Patel, Prutha H. Patel

{"title":"Comparative analysis of different methods for fruit quality determination","authors":"K. K. Patel, H. Patel, Prutha H. Patel","doi":"10.1109/CCECE43985.2019.9052401","DOIUrl":"https://doi.org/10.1109/CCECE43985.2019.9052401","url":null,"abstract":"To investigate and monitor the quality of fruits is of utmost importance in order to decide the shelf life and vending price of the fruits. Many different methods are utilized to determine the quality of fruits which can be broadly categorized as either objective methods or subjective methods. Objective methods involve use of instruments and are offer precise results whereas subjective methods use human senses and results may vary with the users. Depending on whether fruit is broken during analysis or remains undamaged, quality analysis methods can be grouped as either destructive or nondestructive methods. This paper presents a qualitative comparison of destructive as well as nondestructive methods utilized for quality analysis of fruits. Detailed review is presented about the research progress in the area of fruit quality analysis. Different methods consider diverse quality attributes and accordingly the selection of method for particular fruit quality analysis is conceded. Decisive comparison of most commonly used methods of quality analysis presented in this paper can facilitate analysts and researchers to carryout in-depth study of one or more specific methods and help the end users to select most appropriate method for their application area.","PeriodicalId":352860,"journal":{"name":"2019 IEEE Canadian Conference of Electrical and Computer Engineering (CCECE)","volume":"6 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":"128161069","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