2015 International Conference on Electrical Engineering and Informatics (ICEEI)最新文献_第7页

Software metric selection methods: A review 软件度量选择方法综述

2015 International Conference on Electrical Engineering and Informatics (ICEEI) Pub Date : 2015-08-01 DOI: 10.1109/ICEEI.2015.7352540

Zubaidah Bukhari, J. Yahaya, A. Deraman

引用次数: 6

Exploring the applicability of membrane computing to network security 探索膜计算在网络安全中的适用性

2015 International Conference on Electrical Engineering and Informatics (ICEEI) Pub Date : 2015-08-01 DOI: 10.1109/ICEEI.2015.7352506

R. Idowu, M. R. Chandren, Z. Othman

{"title":"Exploring the applicability of membrane computing to network security","authors":"R. Idowu, M. R. Chandren, Z. Othman","doi":"10.1109/ICEEI.2015.7352506","DOIUrl":"https://doi.org/10.1109/ICEEI.2015.7352506","url":null,"abstract":"Investigating the existing approaches of tackling various network security challenges can never be totally exhausted because a perfect and completely secured system is yet unborn! Hence by so doing, their weaknesses would be highlighted with a view to introducing other methods which offer better and more efficient benefits. Membrane computing (MC) is a versatile, non-deterministic and maximally parallel computing device which was inspired by the functioning of living biological cells. The aim of this article therefore is to take a deeper look at concepts within Network security systems (NSS) and especially that of membrane system. Furthermore, based on the inherent benefits of MC and areas where it has been applied successfully, we (i) project a link between it and NSS and (ii) propose MC as an alternative veritable tool towards solving some of the problems of NSS such as packet dropping in Intrusion Detection System (IDS) which usually emanates from systems' inability to handle large traffic data. This was experimented using a model built on recognizer Tissue P system on GPU and the initial results obtained show that our method yields better detection speedup.","PeriodicalId":426454,"journal":{"name":"2015 International Conference on Electrical Engineering and Informatics (ICEEI)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128462549","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 multicarrier modulation audio watermarking system 一种多载波调制音频水印系统

2015 International Conference on Electrical Engineering and Informatics (ICEEI) Pub Date : 2015-08-01 DOI: 10.1109/ICEEI.2015.7352487

Gelar Budiman, A. B. Suksmono, Donghwan Shin

引用次数: 8

Electrical treeing in polyethylene-alumina-filled nanocomposites for HVDC applications 高压直流应用中聚乙烯-氧化铝填充纳米复合材料的电气树

2015 International Conference on Electrical Engineering and Informatics (ICEEI) Pub Date : 2015-08-01 DOI: 10.1109/ICEEI.2015.7352498

Deni Murdany, Xiangrong Chen, Dongming Liu, U. Gedde, Suwarno, S. Gubanski

引用次数: 1

Braille character recognition using find contour method 盲文字符识别的求轮廓法

2015 International Conference on Electrical Engineering and Informatics (ICEEI) Pub Date : 2015-08-01 DOI: 10.1109/ICEEI.2015.7352588

Joko Subur, T. A. Sardjono, R. Mardiyanto

引用次数: 9

An impulse-based framework for signal functional representations 基于脉冲的信号函数表示框架

2015 International Conference on Electrical Engineering and Informatics (ICEEI) Pub Date : 2015-08-01 DOI: 10.1109/ICEEI.2015.7352485

A. Langi

引用次数: 0

Early detection of cardiovascular disease with photoplethysmogram(PPG) sensor 光电容积描记仪(PPG)传感器在心血管疾病早期检测中的应用

2015 International Conference on Electrical Engineering and Informatics (ICEEI) Pub Date : 2015-08-01 DOI: 10.1109/ICEEI.2015.7352584

A. Ave, H. Fauzan, S. Adhitya, H. Zakaria

{"title":"Early detection of cardiovascular disease with photoplethysmogram(PPG) sensor","authors":"A. Ave, H. Fauzan, S. Adhitya, H. Zakaria","doi":"10.1109/ICEEI.2015.7352584","DOIUrl":"https://doi.org/10.1109/ICEEI.2015.7352584","url":null,"abstract":"Cardiovascular disease is still main cause of death in all over the world. Effort in preventing cardiovascular disease with early detection approach is more effective way to decrease population suffered from cardiovascular disease. Photoplethysmogram (PPG) is blood volume measurement method based on optic principle. Volume change caused by vessel pressure can be detected with illuminating skin by the light from photodiode. PPG sensor parameter such as Augmentation Index, Stiffness Index and Age index can be used to measure quality of human blood vessel. This work developed a device for early detection of cardiovascular with PPG signal. Signal received will be proceed and transmitted wirelessly through smartphone/tablet device by Bluetooth. Developed application in smartphone/tablet based on Android platform is designed with easily interpretable and attractive user interface targeting common people. Furthermore, this application is completed with many features that can optimized user experience in this PPG signal interpretation based on previous work. Result interpretation is displayed in colour code which are red (danger), yellow (careful), and green (normal).","PeriodicalId":426454,"journal":{"name":"2015 International Conference on Electrical Engineering and Informatics (ICEEI)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115018998","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: 13

A review of technology-induced error and waste in medication reconciliation 药物调节中技术性错误与浪费的综述

2015 International Conference on Electrical Engineering and Informatics (ICEEI) Pub Date : 2015-08-01 DOI: 10.1109/ICEEI.2015.7352591

Yudha Putra, M. Yusof

引用次数: 2

On machine learning technique selection for classification 机器学习分类技术选择研究

2015 International Conference on Electrical Engineering and Informatics (ICEEI) Pub Date : 2015-08-01 DOI: 10.1109/ICEEI.2015.7352559

R. Kurniawan, Mohd. Zakree, Ahmad Nazri, M. Irsyad, Rado Yendra, Anis Aklima

{"title":"On machine learning technique selection for classification","authors":"R. Kurniawan, Mohd. Zakree, Ahmad Nazri, M. Irsyad, Rado Yendra, Anis Aklima","doi":"10.1109/ICEEI.2015.7352559","DOIUrl":"https://doi.org/10.1109/ICEEI.2015.7352559","url":null,"abstract":"Extracting meaningful pattern from data can be challenging. Irrelevant, redundant, noisy and unreliable data, misinterpretation of results and incompatibility of a technique to extract unknown patterns from data may lead analyst to develop an erroneous classifier. This research is encouraged by `No Free Lunch' theorem that can be simplified as no classification technique that works best for every problem. This study tries to make a comparison amongst three main approaches in data mining, i.e. Decision Tree (DT), Artificial Neural Network (ANN), and Rough Set Theory (RST). A comparative analysis of the above techniques has been conducted by using open source's software ROSETTA and WEKA on five different datasets. The sample sizes are categorized in relation to the number of attributes and number of instances available in the dataset. Assessments on the classification model are based on accuracy, amount and length of the generated rules, error rate and standard deviation. Based on nine experiments, results show that Artificial Neural Network provides better accuracy than Decision Tree and Rough Set approach while Rough Set creates more rules and Decision Tree generate rules faster than the compared techniques. The results show the trade off of using different approaches for other researchers in finding the best model for a particular problem.","PeriodicalId":426454,"journal":{"name":"2015 International Conference on Electrical Engineering and Informatics (ICEEI)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123315336","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: 8

Open source robotic 3D mapping framework with ROS — Robot Operating System, PCL — Point Cloud Library and Cloud Compare 开源机器人三维地图框架与ROS -机器人操作系统，PCL -点云库和云比较

2015 International Conference on Electrical Engineering and Informatics (ICEEI) Pub Date : 2015-08-01 DOI: 10.1109/ICEEI.2015.7352578

J. Będkowski, M. Pelka, K. Majek, Tresya Fitri, Jacek Naruniec

引用次数: 18