2011 IEEE 14th International Multitopic Conference最新文献_第3页

Effect of using RM code to control PAPR in MCCDMA and OFDM 在MCCDMA和OFDM中使用RM码控制PAPR的效果

2011 IEEE 14th International Multitopic Conference Pub Date : 2011-12-01 DOI: 10.1109/INMIC.2011.6151498

S. Rizwan-ul-Hasan

引用次数: 6

HEXOSYS II - towards realization of light mass robotics for the hand HEXOSYS II——面向手部轻质量机器人的实现

2011 IEEE 14th International Multitopic Conference Pub Date : 2011-12-01 DOI: 10.1109/INMIC.2011.6151454

J. Iqbal, O. Ahmad, Ahsan Malik

引用次数: 38

“A synopsis of self-healing functions in wireless networks” 无线网络中的自愈功能概述

2011 IEEE 14th International Multitopic Conference Pub Date : 2011-12-01 DOI: 10.1109/INMIC.2011.6151467

K. A. Kamal, Junaid Ahsenali Chaudhry, Saqib Ali, Mudassar Ahmad, Md. Asri Ngadi, Abdul Hanan Abdullah

{"title":"“A synopsis of self-healing functions in wireless networks”","authors":"K. A. Kamal, Junaid Ahsenali Chaudhry, Saqib Ali, Mudassar Ahmad, Md. Asri Ngadi, Abdul Hanan Abdullah","doi":"10.1109/INMIC.2011.6151467","DOIUrl":"https://doi.org/10.1109/INMIC.2011.6151467","url":null,"abstract":"In early 20th century when technology evolve, the performance of systems suffered from the problems of complexity, increasing cost of maintenance and software of hardware failure caused by unpredictable behavior and poor manageability. This fostered researchers to discover new design and techniques that enable the systems to operate autonomously. In 2001, IBM introduces self-managing capabilities (self-organizing, self-healing, self-optimization and self-protection) with autonomous behavior. In this survey, the main concerns are self-healing autonomic computing. Self-healing is an autonomic computing system that detects and diagnoses errors without the need of human intervention. A number of concepts, techniques and functions have been developed in different application areas of self-healing. This survey gives an overview about some approaches and solutions of past and current research in self-healing classified to operating system, routing, security and web services. These proposed approaches and solutions were developed to solve the problems that arise in manual intervention system. To achieve the perfect of self-healing behaviors, its remains an open and significant challenge that can be accomplished through a combination of process changes, new technologies and architecture and open industry standards.","PeriodicalId":207616,"journal":{"name":"2011 IEEE 14th International Multitopic Conference","volume":"19 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":"122458941","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

Feature selection based image clustering using local discriminant model and global integration 基于局部判别模型和全局集成的特征选择图像聚类

2011 IEEE 14th International Multitopic Conference Pub Date : 2011-12-01 DOI: 10.1109/INMIC.2011.6151457

N. Ahmed, A. Jalil, Asifullah Khan

引用次数: 2

Computerized system for fingerprint identification for biometric security 生物安全指纹识别计算机系统

2011 IEEE 14th International Multitopic Conference Pub Date : 2011-12-01 DOI: 10.1109/INMIC.2011.6151452

Anum Batool, A. Tariq

{"title":"Computerized system for fingerprint identification for biometric security","authors":"Anum Batool, A. Tariq","doi":"10.1109/INMIC.2011.6151452","DOIUrl":"https://doi.org/10.1109/INMIC.2011.6151452","url":null,"abstract":"AFTS (automated fingerprint identification system) is used for identification of fingerprint images. AFIS is a type of biometric system which uses digital imaging methodology to capture, analyze and store fingerprint data. This fingerprint data can be compared with the database to determine the identity of individual. The fingerprint images of poor quality need to be enhanced before the feature extraction and feature matching. In this paper, we present a novel automated approach for fingerprint matching, which involve three steps. In the first step, we enhance image to remove noise. In the second step, we extract required feature that is necessary for matching and remove unwanted feature. In the third step, we do matching by using adjacent feature vector technique. The advantage of adjacent feature vector technique is that, it shows a good performance to differentiate matching and non- matching minutiae pairs. AFV (Adjacent Feature Vector) also reduce the computational cost and matching error. We have used standard fingerprint image database FVC2004 (Fingerprint Verification Competition). Experimental result shows that our approach is effective and gets high quality matching.","PeriodicalId":207616,"journal":{"name":"2011 IEEE 14th International Multitopic Conference","volume":"1 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":"128516663","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: 12

Current transport studies and extraction of series resistance of Pd/ZnO Schottky diode Pd/ZnO肖特基二极管电流输运研究及串联电阻提取

2011 IEEE 14th International Multitopic Conference Pub Date : 2011-12-01 DOI: 10.1109/INMIC.2011.6151472

S. Faraz, M. Willander, Q. Wahab

引用次数: 6

MIMO OFDM signal detection using quadratic programming MIMO OFDM信号的二次规划检测

2011 IEEE 14th International Multitopic Conference Pub Date : 2011-12-01 DOI: 10.1109/INMIC.2011.6151497

F. Bhatti, Shoaib Khan, S. Rehman, F. Rasool

引用次数: 5

Modeling and analyzing the proton exchange membrane of fuel cell (PEMFC) in Matlab/SIMULINK environment 在Matlab/SIMULINK环境下对燃料电池质子交换膜(PEMFC)进行建模与分析

2011 IEEE 14th International Multitopic Conference Pub Date : 2011-12-01 DOI: 10.1109/INMIC.2011.6151480

Ahmad Fuad Abdul Aziz, A. S. Samosir, K. Kamal, Imran Amin, S. Mathavan

引用次数: 8

SBVR vs OCL: A comparative analysis of standards SBVR与OCL:标准的比较分析

2011 IEEE 14th International Multitopic Conference Pub Date : 2011-12-01 DOI: 10.1109/INMIC.2011.6151485

Imran Sarwar Bajwa, B. Bordbar, Mark G. Lee

{"title":"SBVR vs OCL: A comparative analysis of standards","authors":"Imran Sarwar Bajwa, B. Bordbar, Mark G. Lee","doi":"10.1109/INMIC.2011.6151485","DOIUrl":"https://doi.org/10.1109/INMIC.2011.6151485","url":null,"abstract":"In software modelling, the designers have to produce UML visual models with software constraints. Similarly, in business modelling, designers have to model business processes using business constraints (business rules). Constraints are the key components in the skeleton of business or software models. A designer has to write constraints to semantically compliment business models or UML models and finally implementing the constraints into business processes or source code. Business constraints/rules can be written using SBVR (Semantics of Business Vocabulary and Rules) while OCL (Object Constraint Language) is the well-known medium for writing software constraints. SBVR and OCL are two significant standards from OMG. Both standards are principally different as SBVR is typically used in business domains and OCL is employed to compliment software models. However, we have identified a few similarities in both standards that are interesting to study. In this paper, we have performed a comparative analysis of both standards as we are looking for a mechanism for automatic transformation of SBVR to OCL. The major emphasis of the study is to highlight principal features of SBVR and OCL such as similarities, differences and key parameters on which these both standards can work together.","PeriodicalId":207616,"journal":{"name":"2011 IEEE 14th International Multitopic Conference","volume":"36 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114094312","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

Estimation of weights to combine trained neural networks using linear estimation techniques 利用线性估计技术组合训练神经网络的权值估计

2011 IEEE 14th International Multitopic Conference Pub Date : 2011-12-01 DOI: 10.1109/INMIC.2011.6151465

Nadeem Qazi, H. Yeung

{"title":"Estimation of weights to combine trained neural networks using linear estimation techniques","authors":"Nadeem Qazi, H. Yeung","doi":"10.1109/INMIC.2011.6151465","DOIUrl":"https://doi.org/10.1109/INMIC.2011.6151465","url":null,"abstract":"Input feature selection and appropriate weight estimation in combining trained neural network are one of the important key factors in neural stacked neural network based models. This study has investigated these problems through the information theory and linear estimation weight techniques. These techniques have implemented to model the non linear separation process model of a novel design compact separator. The separation efficiency of the compact separator used in this study was found to be dependent non -linearly on many input factors such as gas volume fraction, inlet mixture velocity, liquid and gas superficial velocity, inlet pressure, and Loss coefficient etc. The input parameters from all the candidate inputs were selected based on their Mutual Information with the separation efficiency. It is demonstrated that mutual information is better statistical method for input feature selection to train a neural network. Based on the mutual information a set of inputs were selected and several single trained neural networks having different architecture in terms of hidden neurons and training functions were combined together to improve the prediction accuracy. Three linear methods i.e. equal weigh ts; linear regression and principle component regression were used to combine the trained neural network. The performance of the combined neural network aggregated through principle component regression was found to better than neural network combined with equal weight and linear regression.","PeriodicalId":207616,"journal":{"name":"2011 IEEE 14th International Multitopic Conference","volume":"1 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":"116042377","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