2015 IEEE International WIE Conference on Electrical and Computer Engineering (WIECON-ECE)最新文献_第4页

Design and simulation of fuzzy logic based speed control for an SVPWM inverter-fed induction motor considering core loss and stray load losses 考虑铁心损耗和杂散负载损耗的SVPWM变频异步电动机模糊调速设计与仿真

2015 IEEE International WIE Conference on Electrical and Computer Engineering (WIECON-ECE) Pub Date : 2015-12-01 DOI: 10.1109/WIECON-ECE.2015.7443905

Md. Rifat Hazari, Effat Jahan, M. Mannan, J. Tamura

引用次数: 5

Design and study of an efficient conversion method for PV cell system 光伏电池系统高效转换方法的设计与研究

2015 IEEE International WIE Conference on Electrical and Computer Engineering (WIECON-ECE) Pub Date : 2015-12-01 DOI: 10.1109/WIECON-ECE.2015.7443897

S. A. Shaon, Md Somir Mustak

引用次数: 0

Constructing phylogenetic tree and analysis using information retrieval approach for MYB tfr's of rice genome 水稻基因组MYB - tfr的系统发育树构建及信息检索分析

2015 IEEE International WIE Conference on Electrical and Computer Engineering (WIECON-ECE) Pub Date : 2015-12-01 DOI: 10.1109/WIECON-ECE.2015.7443984

S. Patil, Vineeth K Kumar, Vidya R. Pai, Ashok Patil

{"title":"Constructing phylogenetic tree and analysis using information retrieval approach for MYB tfr's of rice genome","authors":"S. Patil, Vineeth K Kumar, Vidya R. Pai, Ashok Patil","doi":"10.1109/WIECON-ECE.2015.7443984","DOIUrl":"https://doi.org/10.1109/WIECON-ECE.2015.7443984","url":null,"abstract":"Compel to construction of optimal phylogenetic tree context to biologist. Phylogenetic analyses are vital to research thrust in characteristics of functional biology engross the recognition of homologous sequences, their multiple alignments, the phylogenetic tree reform and the geometrical depiction of the deduced tree. The phylogenetic tree construction methods can be seen as optimal construction algorithm for the tree that best fits the observed data. However, the zest of accuracy resulted in high cost and prolonged time taking analysis when dealing with large dataset containing sequences and hence a number of species were ignored in determining the phylogenies. Diverse distance methods were employed and underlying software were built like PHYLIP, BLAST, Bio Edit etc. Research current literature indicates that accuracy is achieved up to 87% in MYB tfr's. Algorithms were employed like maximum likelihood method and neighbourhood joining to the MYB transcription factors of rice genome and maximum accuracy is attempt to gain and validated against the original set.","PeriodicalId":224903,"journal":{"name":"2015 IEEE International WIE Conference on Electrical and Computer Engineering (WIECON-ECE)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114098237","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

Measurement of hydrogen ion conductivity through proton exchange membrane 质子交换膜对氢离子电导率的测量

2015 IEEE International WIE Conference on Electrical and Computer Engineering (WIECON-ECE) Pub Date : 2015-12-01 DOI: 10.1109/WIECON-ECE.2015.7443991

M. Haque, A. Sulong, R. Rosli, E. Majlan, L. Shyuan, Md Abdullah Al Mashud

引用次数: 2

A big data analytic identity management expert system for social media networks 社交媒体网络大数据分析身份管理专家系统

2015 IEEE International WIE Conference on Electrical and Computer Engineering (WIECON-ECE) Pub Date : 2015-12-01 DOI: 10.1109/WIECON-ECE.2015.7444015

K. D. B. H. Subasinghe, S. Kodithuwakku

{"title":"A big data analytic identity management expert system for social media networks","authors":"K. D. B. H. Subasinghe, S. Kodithuwakku","doi":"10.1109/WIECON-ECE.2015.7444015","DOIUrl":"https://doi.org/10.1109/WIECON-ECE.2015.7444015","url":null,"abstract":"A novel concept on risk identification of social media networks using Hidden Markov Models (HMMs) based on behavioural usage patterns is proposed. Unauthorized users are identified based on characteristic activity sequences. Here, a user behavioural model is built for the social media network clients using their detailed activity logs comprising of usage patterns over years. Thereafter, incorporating an HMM, the legitimacy of users is evaluated. This followed a successful training and testing of a Neuro-Fuzzy inferencing model that uses behavioural legitimacy and login time as inputs. The HMM user behavioural model alone gives an accuracy of 73.61% in detecting authorized users while, giving 71.33% accuracy in detecting unauthorized users. The Neuro-Fuzzy model gave an 84% accuracy to distinguish legitimate users while providing 62.5% accuracy to identify illegitimate users. This gives an overall accuracy of detecting valid users (legitimate or illegitimate) of 76.85% and a false positive rate of 10.65% and a false negative rate of 12.5% A Big Data Analytic model can be developed using this concept for user behaviour analysis at the social media network service provider's end as a dynamically evolving system. To our knowledge, this work has invented a novel mechanism for monitoring user behaviour in social media networks without violating their privacy rights.","PeriodicalId":224903,"journal":{"name":"2015 IEEE International WIE Conference on Electrical and Computer Engineering (WIECON-ECE)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126738772","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: 6

Statistical analysis of leakage current of trapezoidal FinFETs 梯形finfet漏电流的统计分析

2015 IEEE International WIE Conference on Electrical and Computer Engineering (WIECON-ECE) Pub Date : 2015-12-01 DOI: 10.1109/WIECON-ECE.2015.7443952

Farhana Afrin, Twisha Titirsha, M. K. Alam

引用次数: 2

Denoising of video using fast video decomposition 使用快速视频分解的视频去噪

2015 IEEE International WIE Conference on Electrical and Computer Engineering (WIECON-ECE) Pub Date : 2015-12-01 DOI: 10.1109/WIECON-ECE.2015.7444007

Saumik Bhattacharya, K. Venkatesh, Sumana Gupta

引用次数: 0

Invited talk-1: Event detection from millions of tweets related to disasters using high-performance feature selection technique 特邀演讲-1:使用高性能特征选择技术从数百万条与灾难相关的tweet中检测事件

2015 IEEE International WIE Conference on Electrical and Computer Engineering (WIECON-ECE) Pub Date : 2015-12-01 DOI: 10.1109/WIECON-ECE.2015.7443880

T. Hashimoto

{"title":"Invited talk-1: Event detection from millions of tweets related to disasters using high-performance feature selection technique","authors":"T. Hashimoto","doi":"10.1109/WIECON-ECE.2015.7443880","DOIUrl":"https://doi.org/10.1109/WIECON-ECE.2015.7443880","url":null,"abstract":"Social media offers a wealth of insight into how significant events? such as the Great East Japan Earthquake, and the Nepal Earthquake affect individuals. The scale of available data, however, can be intimidating: during the Great East Japan Earthquake, over 8 million tweets were sent each day from Japan alone. Conventional word vector-based event-detection techniques for social media that use Latent Semantic Analysis, Latent Dirichlet Allocation, or graph community detection often cannot scale to such a large volume of data due to their space and time complexity. To alleviate this problem, we propose an efficient method for event detection by leveraging a fast feature selection algorithm called CWC. Our proposed method makes it possible to detect events from vast datasets. To demonstrate our method's effectiveness, we extract events from a dataset of over two hundred million tweets sent in the 21 days following the Great East Japan Earthquake and five million tweets sent in the 14 days after the Nepal Earthquake. With CWC, we can identify events from this dataset with great speewd and accuracy.","PeriodicalId":224903,"journal":{"name":"2015 IEEE International WIE Conference on Electrical and Computer Engineering (WIECON-ECE)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130587189","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

Investigation of Bangladesh region based web applications: A case study of 64 based, local, and global SQLi vulnerability 基于孟加拉国地区的web应用程序调查:基于64个本地和全局SQLi漏洞的案例研究

2015 IEEE International WIE Conference on Electrical and Computer Engineering (WIECON-ECE) Pub Date : 2015-12-01 DOI: 10.1109/WIECON-ECE.2015.7443891

Tanjila Farah, Delwar Alam, Md Nadir Bin Ali, M. Kabir

引用次数: 4

A novel current-mode biquadratic OTA-C filter 一种新型电流模双二次OTA-C滤波器

2015 IEEE International WIE Conference on Electrical and Computer Engineering (WIECON-ECE) Pub Date : 2015-12-01 DOI: 10.1109/WIECON-ECE.2015.7443943

M. Bhanja, I. Maity, M. S. Roy, B. Ray

引用次数: 1