2012 International Conference on Advanced Computer Science Applications and Technologies (ACSAT)最新文献_第7页

Customized Ping Tool for Smart Grid Communication Network Testing 智能电网通信网络测试专用Ping工具

2012 International Conference on Advanced Computer Science Applications and Technologies (ACSAT) Pub Date : 2012-11-26 DOI: 10.1109/ACSAT.2012.87

D. N. Quang, O. See, D. Nga, L. L. Chee, C. Y. Xuen, S. Karuppiah, Mohd Fadzil Mohd Siam

引用次数: 3

Simulation Tools for Mobile Ad-hoc Sensor Networks: A State-of-the-Art Survey 移动自组织传感器网络的仿真工具:一项最新的调查

2012 International Conference on Advanced Computer Science Applications and Technologies (ACSAT) Pub Date : 2012-11-26 DOI: 10.1109/ACSAT.2012.84

M. N. Jambli, H. Lenando, K. Zen, S. M. Suhaili, A. Tully

引用次数: 6

An Improved Image Denoising and Segmentation Approach for Detecting Tumor from 2-D MRI Brain Images 一种改进的二维MRI脑图像肿瘤检测降噪与分割方法

2012 International Conference on Advanced Computer Science Applications and Technologies (ACSAT) Pub Date : 2012-11-26 DOI: 10.1109/ACSAT.2012.35

Ahmed Faisal, S. Parveen, S. Badsha, H. Sarwar

引用次数: 22

Developing a Host Intrusion Prevention System by Using Data Mining 基于数据挖掘的主机入侵防御系统开发

2012 International Conference on Advanced Computer Science Applications and Technologies (ACSAT) Pub Date : 2012-11-26 DOI: 10.1109/ACSAT.2012.103

A. Al-Hamami, T. Alawneh

引用次数: 2

An Automatic Qari Recognition System Qari自动识别系统

2012 International Conference on Advanced Computer Science Applications and Technologies (ACSAT) Pub Date : 2012-11-26 DOI: 10.1109/ACSAT.2012.48

M. A. Hussaini, R. Aldhaheri

引用次数: 2

Usage Decision Model for Online Social Network 在线社交网络的使用决策模型

2012 International Conference on Advanced Computer Science Applications and Technologies (ACSAT) Pub Date : 2012-11-26 DOI: 10.1109/ACSAT.2012.12

M. Shahpasand, R. Mahmod, N. Udzir, A. Deghantanha

引用次数: 1

Automatic Bug Assignment Using Information Extraction Methods 基于信息提取方法的Bug自动分配

2012 International Conference on Advanced Computer Science Applications and Technologies (ACSAT) Pub Date : 2012-11-26 DOI: 10.1109/ACSAT.2012.56

Ramin Shokripour, Z. M. Kasirun, Sima Zamani, J. Anvik

{"title":"Automatic Bug Assignment Using Information Extraction Methods","authors":"Ramin Shokripour, Z. M. Kasirun, Sima Zamani, J. Anvik","doi":"10.1109/ACSAT.2012.56","DOIUrl":"https://doi.org/10.1109/ACSAT.2012.56","url":null,"abstract":"The number of reported bugs in large open source projects is high and triaging these bugs is an important issue in software maintenance. As a step in the bug triaging process, assigning a new bug to the most appropriate developer to fix it, is not only a time-consuming and tedious task. The triager, the person who considers a bug and assigns it to a developer, also needs to be aware of developer activities at different parts of the project. It is clear that only a few developers have this ability to carry out this step of bug triaging. The main goal of this paper is to suggest a new approach to the process of performing automatic bug assignment. The information needed to select the best developers to fix a new bug report is extracted from the version control repository of the project. Unlike all the previous suggested approaches which used Machine Learning and Information Retrieval methods, this research employs the Information Extraction (IE) methods to extract the information from the software repositories. The proposed approach does not use the information of the bug repository to make decisions about bugs in order to obtain better results on projects which do not have many fixed bugs. The aim of this research is to recommend the actual fixers of the bugs. Using this approach, we achieved 62%, 43% and 41% accuracies on Eclipse, Mozilla and Gnome projects, respectively.","PeriodicalId":224257,"journal":{"name":"2012 International Conference on Advanced Computer Science Applications and Technologies (ACSAT)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117328593","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: 31

The Influence of Using Social Network on Publishing and Serving Islam: A Case Study of Jordanian Students 利用社会网络对出版和服务伊斯兰教的影响——以约旦学生为例

2012 International Conference on Advanced Computer Science Applications and Technologies (ACSAT) Pub Date : 2012-11-26 DOI: 10.1109/ACSAT.2012.66

I. A. Nassar, J. A. Hayajneh, M. K. Almsafir

{"title":"The Influence of Using Social Network on Publishing and Serving Islam: A Case Study of Jordanian Students","authors":"I. A. Nassar, J. A. Hayajneh, M. K. Almsafir","doi":"10.1109/ACSAT.2012.66","DOIUrl":"https://doi.org/10.1109/ACSAT.2012.66","url":null,"abstract":"Social network one of the most used communication media between people. Nowadays, many researches on the effect of use social network in teaching and learning, some concentrate on Islamic impacts on students. This study, focus on the effects of social network on serving, and publishing Islam. In this study, the main purposes included studies in which field students benefit from social network, making the Islamic information accessible over the world for Muslims, and non-Muslims, also to clarify the Islamic issues, wrong thoughts, and misunderstanding of non-Muslims about Islam. This was measured using survey spread over 500 students focusing on social network usage, purposes, Islamic effects. Participations were chosen from different student education types: schools, undergraduate, and graduate students. The results indicate that, students use more than one social network such as: Facebook, Twitter, Linkedln, Hi5, etc. The students almost use Facebook 97%. Students discuss different type of questions while using social network Islamic topics discussed by 40%, different Islamic topics discussed, and different Islamic sites introduced for members. The response of being a religious man as a member is very low, members thing it is very important for them to be one of the member a religious man. According to the results, Islamic information increased by 78%. This means that the social network is highly used as a way to serve and publish Islam. On the other hand, religion, and Da'wah men must concentrate to be effective members on social networking to get better results in publishing, and serving Islam.","PeriodicalId":224257,"journal":{"name":"2012 International Conference on Advanced Computer Science Applications and Technologies (ACSAT)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121087730","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

Analysis of Thumbprint Recognition in Different Bit Levels 不同比特水平下的指纹识别分析

2012 International Conference on Advanced Computer Science Applications and Technologies (ACSAT) Pub Date : 2012-11-26 DOI: 10.1109/ACSAT.2012.53

M. Ramlan, D. Bong, T. Z. Lee

引用次数: 3

Recognition Techniques for Online Arabic Handwriting Recognition Systems 在线阿拉伯手写识别系统的识别技术

2012 International Conference on Advanced Computer Science Applications and Technologies (ACSAT) Pub Date : 2012-11-26 DOI: 10.1109/ACSAT.2012.14

Mustafa Ali Abuzaraida, A. Zeki

{"title":"Recognition Techniques for Online Arabic Handwriting Recognition Systems","authors":"Mustafa Ali Abuzaraida, A. Zeki","doi":"10.1109/ACSAT.2012.14","DOIUrl":"https://doi.org/10.1109/ACSAT.2012.14","url":null,"abstract":"Online recognition of Arabic handwritten text has been an on-going research problem for many years. Generally, online text recognition field has been gaining more interest lately due to the increasing popularity of hand-held computers, digital notebooks and advanced cellular phones. However, different techniques have been used to build several online handwritten recognition systems for Arabic text, such as Neural Networks, Hidden Markov Model, Template Matching and others. Most of the researches on online text recognition have divided the recognition system into these three main phases which are preprocessing phase, feature extraction phase and recognition phase which considers as the most important phase and the heart of the whole system. This paper presents and compares techniques that have been used to recognize the Arabic handwriting scripts in online recognition systems. Those techniques attempt to recognize Arabic handwritten words, characters, digits or strokes. The structure and strategy of those reviewed techniques are explained in this article. The strengths and weaknesses of using these techniques will also be discussed.","PeriodicalId":224257,"journal":{"name":"2012 International Conference on Advanced Computer Science Applications and Technologies (ACSAT)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131014972","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: 20