2018 Third Scientific Conference of Electrical Engineering (SCEE)最新文献

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FPGA Design and Hardware Implementation of Heart Disease Diagnosis System Based on NVG-RAM Classifier 基于NVG-RAM分类器的心脏病诊断系统的FPGA设计与硬件实现

2018 Third Scientific Conference of Electrical Engineering (SCEE) Pub Date : 2018-12-01 DOI: 10.1109/SCEE.2018.8684125

Tabreer T. Hasan, Manal H. Jasim, Ivan A. Hashim

{"title":"FPGA Design and Hardware Implementation of Heart Disease Diagnosis System Based on NVG-RAM Classifier","authors":"Tabreer T. Hasan, Manal H. Jasim, Ivan A. Hashim","doi":"10.1109/SCEE.2018.8684125","DOIUrl":"https://doi.org/10.1109/SCEE.2018.8684125","url":null,"abstract":"This paper presents a diagnosis system design used to assist the physicians to diagnose the heart condition by converting medical factors of the patients into a numerical representation. The proposed heart disease diagnosis system can classify two heart conditions (normal and abnormal). Also, it can classify four abnormality heart conditions in addition to the normal case. Two types of database are used in the classification process: the online database from The University of California, Irvine (UCI) machine learning dataset repository and collected real database (CD). These databases consist of 13 medical factors that are successful in diagnosing heart disease. The simulation results show that, the proposed Numeral Virtual Generalizing Random Access Memory (NVG-RAM) Weightless Neural Network classifier has 100% accuracy of two heart diseases classification when the performance of this classifier was evaluated using CD. Additionally, this classifier achieves 90% success rate when recognizing 5 states for the same database. According to the UCI database the NVG-RAM is considered best classifier for classifying two types of heart disease based on different division of training and testing database. Furthermore, the diagnosis accuracy for classifying five types is 71.698%. The proposed Heart disease classifier is hardware implemented using FPGA platform kit (Spartan-3A DSP 3400A). This classifier achieves high success rate when tested in using CD for diagnosis two-class heart disease that gives maximum accuracy 100%. Moreover, the NVG-RAM is considered a good algorithm to diagnosis multiclass heart diseases that gives a maximum accuracy of 88%.","PeriodicalId":357053,"journal":{"name":"2018 Third Scientific Conference of Electrical Engineering (SCEE)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131925433","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: 11

Optimal Usage of LTE Advanced System to Support Multi-user in Video Streaming Application LTE先进系统在视频流应用中支持多用户的最佳使用

2018 Third Scientific Conference of Electrical Engineering (SCEE) Pub Date : 2018-12-01 DOI: 10.1109/SCEE.2018.8682244

S. Ibrahim, N. Khamiss

{"title":"Optimal Usage of LTE Advanced System to Support Multi-user in Video Streaming Application","authors":"S. Ibrahim, N. Khamiss","doi":"10.1109/SCEE.2018.8682244","DOIUrl":"https://doi.org/10.1109/SCEE.2018.8682244","url":null,"abstract":"LTE-advanced is an emerging and promising technology to produce mobile net access to next-generation transmission services such as voice and video. Advance Video compression technology is High-efficiency video coding (HEVC) that is providing high-definition video (HD), Ultra-High-definition (UHD) and 4K for clients with video traffic designed to denote the majority of data flow in the mobile system, providing users with a quality of experience (QoE) in advance network. This paper has two main objectives. The first aim is to propose a new scheduling algorithm and compare it with traditional algorithms are Round Robin and Proportional Fair. The second objective is to evaluate the two modern video coding standards AVC and HEVC over LTE advanced system, to find the best way video codec to transfer video data with the best quality and more users. According to the results obtained, the proposed algorithm achieves more throughput than from other algorithms. The paper result also can be concluded that video HEVC can be used efficiently in low bandwidth surroundings. HEVC offers savings in the average bit rate of 47.4% and 40.8% relation to AVC.","PeriodicalId":357053,"journal":{"name":"2018 Third Scientific Conference of Electrical Engineering (SCEE)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128596547","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: 4

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