2017 IEEE Symposium on Computer Applications & Industrial Electronics (ISCAIE)最新文献

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A data-driven sigmoid-based PI controller for buck-converter powered DC motor 一种数据驱动的基于sigmoid的直流电机PI控制器
2017 IEEE Symposium on Computer Applications & Industrial Electronics (ISCAIE) Pub Date : 2017-04-24 DOI: 10.1109/ISCAIE.2017.8074954
M. Ahmad, R. Ismail
{"title":"A data-driven sigmoid-based PI controller for buck-converter powered DC motor","authors":"M. Ahmad, R. Ismail","doi":"10.1109/ISCAIE.2017.8074954","DOIUrl":"https://doi.org/10.1109/ISCAIE.2017.8074954","url":null,"abstract":"This paper presents a novel data-driven sigmoid-based PI for tracking of angular velocity of dc motor powered by a dc/dc buck converter. A global simultaneous perturbation stochastic approximation (GSPSA) is employed to find the optimum sigmoid-based PI parameters such that the angular velocity error is minimized. The merit of the proposed approach is that it can produce fast PI parameter tuning without using any plant model by measuring the I/O data of the system. Moreover, the proposed PI parameters that are varied based on sigmoid function of angular velocity error has great potential in improving the control performance compared to the conventional PI controller. A well-known buck converter powered DC motor model is considered to validate our data-driven design. In addition, the performances of the proposed method are examined in terms of angular velocity trajectory tracking and duty cycle in comparison with other existing approaches. Numerical example shows that the data-driven sigmoid-based PI approach provides better control performances as compared to existing methods.","PeriodicalId":298950,"journal":{"name":"2017 IEEE Symposium on Computer Applications & Industrial Electronics (ISCAIE)","volume":"212 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115057014","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: 25
An algorithm for beta-spline surface reconstruction from multi slice CT scan images using MATLAB pmode 基于MATLAB的多层CT扫描图像样条曲面重建算法
2017 IEEE Symposium on Computer Applications & Industrial Electronics (ISCAIE) Pub Date : 2017-04-01 DOI: 10.1109/ISCAIE.2017.8074939
M. Halim, N. A. Hadi, H. Sulaiman, S. A. Halim
{"title":"An algorithm for beta-spline surface reconstruction from multi slice CT scan images using MATLAB pmode","authors":"M. Halim, N. A. Hadi, H. Sulaiman, S. A. Halim","doi":"10.1109/ISCAIE.2017.8074939","DOIUrl":"https://doi.org/10.1109/ISCAIE.2017.8074939","url":null,"abstract":"This study focuses on the development of algorithm to reconstruct surface of a human head using Beta-Spline technique. The development of algorithm started with the data point extraction from CT scan images to parallel computation. Parallel computation is used to handle with the large number of data points. Ars Cluster, which is a low-cost parallel laboratory in UiTM Shah Alam, is used in this computation on a MATLAB pmode platform with MATLAB Distributed Computing Server (MDCS). The computation time is taken and the results shows that the parallel computation will gives less computation time compared to by using sequential. The computation time and the surface of a human head are displayed on a MATLAB GUI.","PeriodicalId":298950,"journal":{"name":"2017 IEEE Symposium on Computer Applications & Industrial Electronics (ISCAIE)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121566939","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: 3
Optimization of locally linear embedded for frontal gait recognition using kinect 基于kinect的局部线性嵌入正面步态识别优化
2017 IEEE Symposium on Computer Applications & Industrial Electronics (ISCAIE) Pub Date : 2017-04-01 DOI: 10.1109/ISCAIE.2017.8074969
R. Sahak, N. Tahir, A. Yassin, Fadhlan Kamaruzaman
{"title":"Optimization of locally linear embedded for frontal gait recognition using kinect","authors":"R. Sahak, N. Tahir, A. Yassin, Fadhlan Kamaruzaman","doi":"10.1109/ISCAIE.2017.8074969","DOIUrl":"https://doi.org/10.1109/ISCAIE.2017.8074969","url":null,"abstract":"This study investigates the potential of gait features as human gait recognition. Firstly, skeleton joints of twenty subjects obtained from Kinect are extracted as features and further selected using the optimized locally linear embedded approach. Next, multi-layer perceptron and support vector machine are employed as classifiers. Result showed that the combination of the optimized locally linear embedded with K=100 and d=94 and support vector machine regularization parameter C=0.001 and linear kernel attained highest accuracy rate in frontal view specifically 96.50% using 94 gait features.","PeriodicalId":298950,"journal":{"name":"2017 IEEE Symposium on Computer Applications & Industrial Electronics (ISCAIE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130036327","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
Automated haversian canal detection for histological sex determination 用于组织学性别测定的哈弗氏管自动检测
2017 IEEE Symposium on Computer Applications & Industrial Electronics (ISCAIE) Pub Date : 2017-04-01 DOI: 10.1109/ISCAIE.2017.8074952
Hadi Abdullah, M. Jamil, F. Nor
{"title":"Automated haversian canal detection for histological sex determination","authors":"Hadi Abdullah, M. Jamil, F. Nor","doi":"10.1109/ISCAIE.2017.8074952","DOIUrl":"https://doi.org/10.1109/ISCAIE.2017.8074952","url":null,"abstract":"Human bones can provide vital information about the person it belonged to, using different analytical methods. Histomorphological method can use only fragments of bone to estimate age and sex. Different researches have been conducted using these methods in which researchers have selected microstructural parameters according to their requirement. This paper presents automated haversian canal detection from bone sample image. This detection is part of a developing system for automated sex determination system. This sex determination system can identify sex from human bone sample by using microstructural image processing. The system is divided into two parts. In first part bone samples are selected, manually analyzed and differences in microstructural parameters in males and females are observed. While in second part these observations are used to design computer aided automation system. Lastly this paper concludes system while giving its importance in multiple aspects.","PeriodicalId":298950,"journal":{"name":"2017 IEEE Symposium on Computer Applications & Industrial Electronics (ISCAIE)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128761465","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
Skype multimedia application traffic analysis on home Unifi network Skype多媒体应用在家庭Unifi网络上的流量分析
2017 IEEE Symposium on Computer Applications & Industrial Electronics (ISCAIE) Pub Date : 2017-04-01 DOI: 10.1109/ISCAIE.2017.8074974
M. Kassim, S. F. Ramle, R. A. Rahman, M. I. Yusof
{"title":"Skype multimedia application traffic analysis on home Unifi network","authors":"M. Kassim, S. F. Ramle, R. A. Rahman, M. I. Yusof","doi":"10.1109/ISCAIE.2017.8074974","DOIUrl":"https://doi.org/10.1109/ISCAIE.2017.8074974","url":null,"abstract":"This paper presents an analysis of Skype application network traffic on Home UniFi network. Recently, Skype is identified as one of the most online video media applications used in today's network communication. Before, people communicate through Skype using telephone line where it is very costly. Today, UniFi broadband network give better bandwidth for Skype users and more cheaper solution. However, it is important to determine whether the bandwidth offered by UniFi is fully utilized by the users as they consistently pay for it. The objectives of this research is to analyze multimedia Skype traffic characteristics such as usage of bandwidth, round trip time (RTT), and packet loss, Skype protocol, and Skype traffic model. The method involved establishing both video and voice calls at different time using Skype of home UniFi where one of the users runs the Wireshark to capture the traffic. Data are collected in schedule time and analyzed using MATLAB software. Collected data are analyzed on total of bandwidth usage and type of protocol used. Comparison is being made between different protocols used in time. Then, Skype traffic model is identified by fitted the raw data. Two-parameter Cumulative Distributions Functions (CDF) is generated. Maximum Likelihood Estimator (MLE) technique is used to get the best traffic model which presents the highest MLE value. Result presents that Skype is using UDP protocol more than TCP protocol and the bandwidth usage is underutilized where only 10% of bandwidth is used from the offered committed access rate paid on the access bandwidth line. This study is significant in developing a dynamic committed access rate algorithms line which would benefits the broadband network users.","PeriodicalId":298950,"journal":{"name":"2017 IEEE Symposium on Computer Applications & Industrial Electronics (ISCAIE)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125443165","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: 3
Conceptual framework for implementation of knowledge sharing in global software development organizations 在全球软件开发组织中实现知识共享的概念框架
2017 IEEE Symposium on Computer Applications & Industrial Electronics (ISCAIE) Pub Date : 2017-04-01 DOI: 10.1109/ISCAIE.2017.8074972
Rayhab Anwar, M. Rehman, Khor Siak Wang, Aamir Amin, R. Akbar
{"title":"Conceptual framework for implementation of knowledge sharing in global software development organizations","authors":"Rayhab Anwar, M. Rehman, Khor Siak Wang, Aamir Amin, R. Akbar","doi":"10.1109/ISCAIE.2017.8074972","DOIUrl":"https://doi.org/10.1109/ISCAIE.2017.8074972","url":null,"abstract":"Effective knowledge sharing plays a significant role in the proficient performance of any global software development organization. The lack of ability to share knowledge over time, in globally distributed software organizations, is perhaps the most prominent issue of this digital era. Traditionally, the main focus of the existing literature for knowledge sharing has been on individuals working from same locations rather than globally distributed locations. Therefore, a good amount of research work needs to be done to understand knowledge sharing process for globally distributed software development organizations. To fill this gap, this paper proposes a framework consisting of knowledge sharing factors classified into five main categories “individual”, “organizational”, “technological”, “cultural” and “geographical”. The proposed framework incorporates psychological theories including theory of planned behavior (TPB), social cognitive theory (SCT) and subset of Triandis' theory of interpersonal behavior (TIB). Based on literature review, this study suggests that trust, motivation, social interaction, linguistic distance, geographical distance, time zone difference have direct relationships with knowledge sharing behavior whereas organizational and technological support plays a moderating role.","PeriodicalId":298950,"journal":{"name":"2017 IEEE Symposium on Computer Applications & Industrial Electronics (ISCAIE)","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132915855","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
Emperical analysis of hyper-heuristic search algorithms in expensive numerical optimzation 超启发式搜索算法在昂贵数值优化中的实证分析
2017 IEEE Symposium on Computer Applications & Industrial Electronics (ISCAIE) Pub Date : 2017-04-01 DOI: 10.1109/ISCAIE.2017.8074961
J. H. Ong, J. Teo
{"title":"Emperical analysis of hyper-heuristic search algorithms in expensive numerical optimzation","authors":"J. H. Ong, J. Teo","doi":"10.1109/ISCAIE.2017.8074961","DOIUrl":"https://doi.org/10.1109/ISCAIE.2017.8074961","url":null,"abstract":"Expensive optimization problems refer to real-world problems that will require a large amount of resources to run and solve. This has attracted significant recent interest from researchers to investigate simple yet highly efficient search methodologies for solving this problem domain. The main goal of this problem domain is to be able to locate desirable solutions within a short number of search iterations. In this paper, the implementation of a hyper-heuristic framework for solving expensive optimization problems is presented. Hyper-heuristics utilize a set of low-level heuristics that work together to search for optimum solutions. Although hyper-heuristics have been shown to outperform many other search methodologies in discrete optimization, to the best of our knowledge, hyper-heuristics have yet to be investigated for expensive optimization problems. Two variants of hyper-heuristics are used in this paper, Simple-Random All Moves Acceptance (SRAMA) and Tabu Search All Moves Acceptance (TSAMA). The Congress on Evolutionary Computation 2015 (CEC2015) expensive optimization benchmark problems and the top performing algorithm from that competition, which is the Mean Variance Mapping Optimization (MVMO), were used to benchmark and compare the suggested hyper-heuristics. The results obtained were very encouraging when compared against the top performing expensive optimization algorithm MVMO using this comprehensive benchmark test set.","PeriodicalId":298950,"journal":{"name":"2017 IEEE Symposium on Computer Applications & Industrial Electronics (ISCAIE)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114154471","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
Malay speech recognition for different ethnic speakers : An exploratory study 马来语语音识别对不同民族使用者的探索性研究
2017 IEEE Symposium on Computer Applications & Industrial Electronics (ISCAIE) Pub Date : 2017-04-01 DOI: 10.1109/ISCAIE.2017.8074956
Rafizah Mohd Hanifa, K. Isa, Shamsul Mohamad
{"title":"Malay speech recognition for different ethnic speakers : An exploratory study","authors":"Rafizah Mohd Hanifa, K. Isa, Shamsul Mohamad","doi":"10.1109/ISCAIE.2017.8074956","DOIUrl":"https://doi.org/10.1109/ISCAIE.2017.8074956","url":null,"abstract":"Speech technology has become an alternative medium of communication. It could help those on smart wheelchair to use their voice to ease their movements from one location to another. However, most of the speech technology that has been developed is based on the English language and limited for other languages. This project contributes to the literature by developing a program on speech technology for Malay speech recognition using Visual C# to determine the quality of the program in advancing the state-of-the-art. The developed program has been tested using the speech by 13 subjects from different ethnic backgrounds to evaluate its quality and limitations. Results indicate that the voice, including the volume, accent and word emphasis to be important elements in influencing the quality of recognition.","PeriodicalId":298950,"journal":{"name":"2017 IEEE Symposium on Computer Applications & Industrial Electronics (ISCAIE)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131288165","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
Application of K-Means clustering in hot spot detection for thermal infrared images k均值聚类在热红外图像热点检测中的应用
2017 IEEE Symposium on Computer Applications & Industrial Electronics (ISCAIE) Pub Date : 2017-04-01 DOI: 10.1109/ISCAIE.2017.8074959
Mohd Rizman Sultan Mohd, S. H. Herman, Z. Sharif
{"title":"Application of K-Means clustering in hot spot detection for thermal infrared images","authors":"Mohd Rizman Sultan Mohd, S. H. Herman, Z. Sharif","doi":"10.1109/ISCAIE.2017.8074959","DOIUrl":"https://doi.org/10.1109/ISCAIE.2017.8074959","url":null,"abstract":"K-Means Clustering is one of the method for image segmentation which will subtract the interest area from background. By using K-Means Clustering, thermal image is divided into 2 layers which separates the hotter region from the background image. This will ease the hot spot detection on thermal infrared images. This paper presents work on the implementation of K-Means Clustering onto thermal images. The algorithm for thermal infrared image segmentation using K-Means Clustering was developed and executed using MATLAB R2015a software. It was proven that K-Means Clustering ease the hot spot detection from the thermal images.","PeriodicalId":298950,"journal":{"name":"2017 IEEE Symposium on Computer Applications & Industrial Electronics (ISCAIE)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131468325","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: 14
4 Transistor and 2 memristor based memory 4晶体管和2忆阻器为基础的存储器
2017 IEEE Symposium on Computer Applications & Industrial Electronics (ISCAIE) Pub Date : 2017-04-01 DOI: 10.1109/ISCAIE.2017.8074946
Kazi Fatima Sharif, Riazul Islam, S. Biswas, V. Groza
{"title":"4 Transistor and 2 memristor based memory","authors":"Kazi Fatima Sharif, Riazul Islam, S. Biswas, V. Groza","doi":"10.1109/ISCAIE.2017.8074946","DOIUrl":"https://doi.org/10.1109/ISCAIE.2017.8074946","url":null,"abstract":"This research proposed a new type of memory cell designed by using only nMOS transistors of 16nm, 22nm and 45nm (Arizona State University Predictive Technologies Model) PTM models and memristors. The memory cell consumes less power and also occupies minimum amount of silicon area. The stability of the data during successive read operation and noise margin are in the promising range. Extensive simulation results demonstrate the validity and competency of the proposed model in the sector of time delay, static noise margin and power consumption.","PeriodicalId":298950,"journal":{"name":"2017 IEEE Symposium on Computer Applications & Industrial Electronics (ISCAIE)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127807998","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
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