2017 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies (AEECT)最新文献_第3页

Keynotes speech 1: Smart factory: The 4th industrial revolution 主题演讲1:智能工厂:第四次工业革命

2017 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies (AEECT) Pub Date : 2017-10-01 DOI: 10.1109/AEECT.2017.8257734

R. Biesenbach

引用次数: 1

Abusing Android permissions: A security perspective 滥用Android权限:一个安全视角

2017 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies (AEECT) Pub Date : 2017-10-01 DOI: 10.1109/AEECT.2017.8257772

Mamdouh Alenezi, Iman M. Almomani

引用次数: 13

Investigation of mobile App behaviors, from the aspect of real world mobile backend system 调查手机App的行为，从现实世界的移动后端系统的角度

2017 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies (AEECT) Pub Date : 2017-10-01 DOI: 10.1109/AEECT.2017.8257762

Jen-Hao Kuo, He-Ming Ruan, Chun-Yi Chan, C. Lei

引用次数: 3

Faults detection and diagnosis of transmission lines using wavelet transformed based technique 基于小波变换技术的输电线路故障检测与诊断

2017 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies (AEECT) Pub Date : 2017-10-01 DOI: 10.1109/AEECT.2017.8257776

Bilal Masood, Umar Saleem, M. Anjum, Usman Arshad

{"title":"Faults detection and diagnosis of transmission lines using wavelet transformed based technique","authors":"Bilal Masood, Umar Saleem, M. Anjum, Usman Arshad","doi":"10.1109/AEECT.2017.8257776","DOIUrl":"https://doi.org/10.1109/AEECT.2017.8257776","url":null,"abstract":"The demand of electrical power energy has grown exponentially in recent times and to meet this demand electrical power system network needs more sophistication and consequently more complexity. Transmission lines, expanded over several kilometers, are the backbone of the electrical power system which acts as interconnection between power houses and electricity consumers. Transmission lines are mostly located in the open and therefore, environmental effects can result in fault occurrences. The ability to detect and diagnose the faults can help greatly in the protection of transmission line. This paper presents modern solution of fault detection and diagnosis of overhead transmission lines by implementing Discrete Wavelet Transform (DWT). Faults in transmission line of various categories have been created using MATLAB/Simulink. The current signals of each phase are obtained from sending end, and then decompose using DWT to obtain the details coefficients up to five levels. Furthermore, normalized values are calculated from the norm of detail coefficients. In order to detect and diagnose the faults on transmission lines normalized values of each phase are compared with threshold values of the system. The proposed approach has been successfully tested for various categories of faults at different operating conditions.","PeriodicalId":286127,"journal":{"name":"2017 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies (AEECT)","volume":"114 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":"114245968","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: 12

Smart controlling for traffic light time 智能控制交通灯时间

2017 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies (AEECT) Pub Date : 2017-10-01 DOI: 10.1109/AEECT.2017.8257768

A. A. Zaid, Yazan Suhweil, Musa Al Yaman

引用次数: 25

Design of linear antenna arrays using antlion and grasshopper optimization algorithms 利用蚁群和蚱蜢优化算法设计线性天线阵列

2017 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies (AEECT) Pub Date : 2017-10-01 DOI: 10.1109/AEECT.2017.8257746

A. Amaireh, Asem Alzoubi, N. Dib

引用次数: 18

Arabic sentiment analysis of YouTube comments YouTube评论的阿拉伯语情感分析

2017 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies (AEECT) Pub Date : 2017-10-01 DOI: 10.1109/AEECT.2017.8257766

Abdel-Karim Al-Tamimi, A. Shatnawi, Esraa Bani-Issa

引用次数: 19

A 4-element sub-array with 4-polarization modes 具有四极化模式的四元子阵列

2017 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies (AEECT) Pub Date : 2017-10-01 DOI: 10.1109/AEECT.2017.8257743

Yanal S. Faouri, R. Hussain, M. Sharawi

引用次数: 5

Mobile intra-campus student social network 移动校园内学生社交网络

2017 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies (AEECT) Pub Date : 2017-10-01 DOI: 10.1109/AEECT.2017.8257761

Ibrhaim Al-Oqily, E. Abdallah, Alaa A. Abdallah

引用次数: 2

A distributed model for automated diagnosis of whole-slide H&E stained prostate tissue images 全片H&E染色前列腺组织图像自动诊断的分布式模型

2017 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies (AEECT) Pub Date : 2017-10-01 DOI: 10.1109/AEECT.2017.8257739

S. A. H. Saleh, Omar Sultan Al-Kadi

{"title":"A distributed model for automated diagnosis of whole-slide H&E stained prostate tissue images","authors":"S. A. H. Saleh, Omar Sultan Al-Kadi","doi":"10.1109/AEECT.2017.8257739","DOIUrl":"https://doi.org/10.1109/AEECT.2017.8257739","url":null,"abstract":"Analysis of large amounts of medical images exceeds storage capacity and computation capability of a single workstation. Distributed computing employs a set of connected machines to solve a single problem by dividing it into number of solvable sub-problems. Analyzing and processing of large-scale medical images demand employing distributed architectures to overcome the limitations of memory space and execution time. Current analysis of digitized large-scale prostate tissue images depends on ordinary sequential techniques running on a single machine. This paper presents a proposed distributed model based on Hadoop framework for automated diagnosis of digitized large-scale H&E prostate tissue images to carry out segmentation, feature extraction, and classification tasks. The proposed model is based on partitioning input images into segments and distributing them across number of slaves to perform analysis task simultaneously. Analysis task aims at segmenting and labeling Regions of Interest (ROIs) in input images to extract initial features. Initial features are combined at master side to get final features for each input image. Finally, master node classifies images into the corresponding grade based on a grading system such as Gleason Grading system. The proposed distributed model would achieve high speed performance when applied in advanced medical applications.","PeriodicalId":286127,"journal":{"name":"2017 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies (AEECT)","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":"115653130","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