2011 IEEE 14th International Multitopic Conference最新文献

Impact of directional density on GyTAR routing protocol for VANETs in city environments 方向密度对城市环境下VANETs GyTAR路由协议的影响

2011 IEEE 14th International Multitopic Conference Pub Date : 2011-12-01 DOI: 10.1109/INMIC.2011.6151491

S. M. Bilal, S. Mustafa, Uzma Saeed

引用次数: 14

Heart disease classification ensemble optimization using Genetic algorithm 基于遗传算法的心脏病分类集成优化

2011 IEEE 14th International Multitopic Conference Pub Date : 2011-12-01 DOI: 10.1109/INMIC.2011.6151471

Benish Fida, Muhammad Nazir, Nawazish Naveed, Sheeraz Akram

引用次数: 32

A novel fast and robust digital image watermarking using Bee Algorithm 一种基于Bee算法的快速鲁棒数字图像水印算法

2011 IEEE 14th International Multitopic Conference Pub Date : 2011-12-01 DOI: 10.1109/INMIC.2011.6151516

Asma Ahmad Farhan, Sana Bilal

引用次数: 13

Automated testing process for electromagnetic interference and compatibility testing facility 用于电磁干扰和兼容性测试设备的自动化测试过程

2011 IEEE 14th International Multitopic Conference Pub Date : 2011-12-01 DOI: 10.1109/INMIC.2011.6151481

Intikhab Hussain, Umar Usman, Yasir Iqbal, A. Shafqat, Abid Mushtaq

引用次数: 1

Evaluating and comparing the performance of DYMO and OLSR in MANETs and in VANETs 在manet和vanet中对DYMO和OLSR的性能进行了评价和比较

2011 IEEE 14th International Multitopic Conference Pub Date : 2011-12-01 DOI: 10.1109/INMIC.2011.6151505

S. Sagar, J. Saqib, A. Bibi, N. Javaid

引用次数: 23

Context based image search 基于上下文的图像搜索

2011 IEEE 14th International Multitopic Conference Pub Date : 2011-12-01 DOI: 10.1109/INMIC.2011.6151512

Waqas Ahmad, C. Faisal

引用次数: 5

Gender classification using image processing techniques: A survey 基于图像处理技术的性别分类研究综述

2011 IEEE 14th International Multitopic Conference Pub Date : 2011-12-01 DOI: 10.1109/INMIC.2011.6151483

S. Khan, Muhammad Nazir, Sheeraz Akram, Naveed Riaz

{"title":"Gender classification using image processing techniques: A survey","authors":"S. Khan, Muhammad Nazir, Sheeraz Akram, Naveed Riaz","doi":"10.1109/INMIC.2011.6151483","DOIUrl":"https://doi.org/10.1109/INMIC.2011.6151483","url":null,"abstract":"Classification has emerged as a leading technique for problem solution and optimization. Classification has been used extensively in several problems domains. Automated gender classification is an area of great significance and has great potential for future research. It offers several industrial applications in near future such as monitoring, surveillance, commercial profiling and human computer interaction. Different methods have been proposed for gender classification like gait, iris and hand shape. However, majority of techniques for gender classification are based on facial information. In this paper, a comparative study of gender classification using different techniques is presented. The major emphasis of this work is on the critical evaluation of different techniques used for gender classification. The comparative evaluation has highlighted major strengths and limitations of existing gender classification techniques. Taking an overview of these major problems, our research is focused on summarizing the literature by highlighting its strengths and limitations. This study also presents several areas of future research in the domain of gender classification.","PeriodicalId":207616,"journal":{"name":"2011 IEEE 14th International Multitopic Conference","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125525135","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: 32

Application of statistical sampling to predict faults from real time alarm data 统计抽样在实时报警数据故障预测中的应用

2011 IEEE 14th International Multitopic Conference Pub Date : 2011-12-01 DOI: 10.1109/INMIC.2011.6151490

A. S. Kazmi

{"title":"Application of statistical sampling to predict faults from real time alarm data","authors":"A. S. Kazmi","doi":"10.1109/INMIC.2011.6151490","DOIUrl":"https://doi.org/10.1109/INMIC.2011.6151490","url":null,"abstract":"The faults in today's telecommunication systems happen frequently. The reason is simply the complexity of the telecommunication networks and other supported hardware. Various parts of the network may be supplied by various vendors, thus adding to the overall operational complexity. Furthermore these networks may consist of various types of networks, e.g. computer, switching, circuit and wireless networks, inter-operating. The result of such complexities is that a number of faults will happen over unit time intervals. Many of these faults may result in denial of service to the end users, consequently causing revenue losses to the telecommunication companies. Therefore various fault prediction and correction techniques have been proposed. Most, if not all, of these techniques are based on analysis of the historical alarm logs. The Telecom Alarm Sequence Analyzer (TASA) project has proposed associate and episodal rules for historical alarms. We have practically applied TASA episodal rules to identify sequence of alarms and then used the probabilities of these alarm sequences to predict future sequences of alarms. We have used the proposed alarm prediction technique on the real time alarm data of a telecommunication company and predicted future alarms sequences. Furthermore we have compared the predicted alarms against the actual alarm sequences to check the accuracy of our technique. The proposed technique does not make any assumption about the alarm data. We have concluded that the proposed technique has practical usage for alarm prediction in telecommunication networks.","PeriodicalId":207616,"journal":{"name":"2011 IEEE 14th International Multitopic Conference","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116140522","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

Computerized system for fingerprint classification using singular points 基于奇异点的指纹分类计算机系统

2011 IEEE 14th International Multitopic Conference Pub Date : 2011-12-01 DOI: 10.1109/INMIC.2011.6151519

S. Javed, Anam Usman

引用次数: 6

Low-cost single-channel EEG based communication system for people with lock-in syndrome 闭锁综合征患者低成本单通道脑电图通信系统

2011 IEEE 14th International Multitopic Conference Pub Date : 2011-12-01 DOI: 10.1109/INMIC.2011.6151455

Khalil Ullah, Mohsin Ali, M. Rizwan, M. Imran

{"title":"Low-cost single-channel EEG based communication system for people with lock-in syndrome","authors":"Khalil Ullah, Mohsin Ali, M. Rizwan, M. Imran","doi":"10.1109/INMIC.2011.6151455","DOIUrl":"https://doi.org/10.1109/INMIC.2011.6151455","url":null,"abstract":"As the use of biomedical signals is incredibly increasing in both clinical and nonclinical applications. They have a great deal in the development of devices that can be controlled by information inferred from thoughts. One of the current hot topics for research is the Brain Computer Interface (BCI) on basis of EEG signals. BCI is a technology that makes humans to control computer or other devices on basis of information inferred from thoughts. BCIs have given new hopes to people who suffer from locked-in syndrome and motor disabilities by providing alternative means of communication channels. The existing BCIs are Multi-channel, thus very expensive in terms of cost and processing speed, which make them difficult for domestic use. The aim of this research paper is to introduce a very cheap, simple and a robust single channel BCI that could prevail in the market. We propose a very low-cost EEG-based BCI that is designed to help severely disabled people communicate with others by means of text and SMS. To make it simple and affordable, the number of channels is limited to one and signal is acquired through homemade silver electrodes and then fed to the computer through the soundcard for further processing and features extractions. The experimental results show that the proposed system is capable enough to provide a very low cost, yet reliable, communication means and a suitable BCI for domestic use. Its average accuracy is 87%. The potential uses for the technology are almost limitless. Instead of communication system, disabled users could have robotic wheelchair, allowing them to move and directly interact with the environments thus it can be used for clinical and nonclinical purposes.","PeriodicalId":207616,"journal":{"name":"2011 IEEE 14th International Multitopic Conference","volume":"183 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115070151","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: 21