2006 International Conference on Computer Engineering and Systems最新文献_第3页

A Cycle-Accurate Micro-Architecture Simulation Framework for Embedded Processors 一种周期精确的嵌入式处理器微结构仿真框架

2006 International Conference on Computer Engineering and Systems Pub Date : 2006-11-01 DOI: 10.1109/ICCES.2006.320428

A. Ghanem, A. El-Mahdy, I. A. El-Salam

{"title":"A Cycle-Accurate Micro-Architecture Simulation Framework for Embedded Processors","authors":"A. Ghanem, A. El-Mahdy, I. A. El-Salam","doi":"10.1109/ICCES.2006.320428","DOIUrl":"https://doi.org/10.1109/ICCES.2006.320428","url":null,"abstract":"The growth in embedded systems applications and sophistication increased the need for rapid development and modeling of embedded processors. Embedded processors are usually application specific. This causes the strong need for modeling environments that can be used for rapid generation of detailed micro-architecture processor simulators. However, existing simulation tools in this category are far less mature and mostly commercial. This paper presents a generic cycle-accurate micro-architecture simulation framework for embedded processors. The framework is designed to generate an RTL (register transfer level) cycle accurate simulator. The framework is built in Java to provide features like extensibility, ability to be changed easily and platform independence. It provides the above features while being as fast as most known available frameworks. The paper uses ARM1022E as an example for embedded processors due to its wide range of applications like modems, cellular phones and automobiles. It simulates its two instruction set architectures (ISA): ARM (32-bit ISA) and THUMB (16-bit ISA). The paper verifies the framework by comparing the ARM simulator with ARMulator (from ARM Ltd.). It also compares the current simulation speed with available known frameworks. Lastly, the paper provides a study of ADPCM (adaptive differential pulse code modulation) decode performance on the ARM1022E processor using the framework","PeriodicalId":261853,"journal":{"name":"2006 International Conference on Computer Engineering and Systems","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124570469","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

Software Projects Success Factors Identification using Data Mining 使用数据挖掘识别软件项目成功因素

2006 International Conference on Computer Engineering and Systems Pub Date : 2006-11-01 DOI: 10.1109/ICCES.2006.320489

A. Yousef, A. Gamal, A. Warda, M. Mahmoud

{"title":"Software Projects Success Factors Identification using Data Mining","authors":"A. Yousef, A. Gamal, A. Warda, M. Mahmoud","doi":"10.1109/ICCES.2006.320489","DOIUrl":"https://doi.org/10.1109/ICCES.2006.320489","url":null,"abstract":"Software project management is the art and science of planning and leading software projects to achieve predetermined corporate goals. It requires knowledge of the entire software development lifecycle. The project manager's main responsibility is to ensure a successful project outcome. Project success is normally defined as achieving desired project objectives and features within desired cost and schedule. Many factors affect project success including dealing with gathering requirements, customer involvements and project management. Several researchers have investigated the success or failure of software projects using statistical approaches. In this paper, a Web based survey and interviews are used to collect project data, about requirements, project sponsor and customers. Tools such as association, neural networks, clustering, Naive Bayes and decision tree are used to discover common characteristics and rules that govern project success and failure. The results show the power of data mining algorithms to discover the most important factors and associations in project success and failure. Results showed that each mining algorithm has a particular strength to provide knowledge and make predictions about project success opportunities","PeriodicalId":261853,"journal":{"name":"2006 International Conference on Computer Engineering and Systems","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117053761","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: 15

Distributed Reconstruction of Implicit Surfaces 隐曲面的分布重构

2006 International Conference on Computer Engineering and Systems Pub Date : 2006-11-01 DOI: 10.1109/ICCES.2006.320417

M. Wahab, A. S. Hussein, A. Aziz

引用次数: 2

A Multi-Engine LUT-Based Synthesis Framework 基于多引擎lut的合成框架

2006 International Conference on Computer Engineering and Systems Pub Date : 2006-11-01 DOI: 10.1109/ICCES.2006.320435

B.A. Hamed, A. Salem, G. Aly

引用次数: 0

Key Exchange by Synchronization of two Chaotic Systems 两个混沌系统的同步密钥交换

2006 International Conference on Computer Engineering and Systems Pub Date : 2006-11-01 DOI: 10.1109/ICCES.2006.320444

A. Eldin

引用次数: 1

Realistic Missile Modeling for Guidance Applications 制导应用的逼真导弹建模

2006 International Conference on Computer Engineering and Systems Pub Date : 2006-11-01 DOI: 10.1109/ICCES.2006.320441

M. Sobh, M. Sheirah

引用次数: 5

A Method for Fast Revocation of Certificateless Public Key Cryptography 一种快速撤销无证书公钥加密的方法

2006 International Conference on Computer Engineering and Systems Pub Date : 2006-11-01 DOI: 10.1109/ICCES.2006.320456

Ibrahim I. Ibrahim, M. Ibrahim, Ali M. Allam

引用次数: 0

Analysis of Optical Code Division Multiple Access Passive Networks for Different Encoder Delay Elements 不同编码器时延的光码分多址无源网络分析

2006 International Conference on Computer Engineering and Systems Pub Date : 2006-11-01 DOI: 10.1109/ICCES.2006.320464

M. A. Morsy, K. M. Hassan, A. H. Morshed, A. Elhennawy

{"title":"Analysis of Optical Code Division Multiple Access Passive Networks for Different Encoder Delay Elements","authors":"M. A. Morsy, K. M. Hassan, A. H. Morshed, A. Elhennawy","doi":"10.1109/ICCES.2006.320464","DOIUrl":"https://doi.org/10.1109/ICCES.2006.320464","url":null,"abstract":"One of the most important core technologies in the development of optical code division multiple access (OCDMA) local area networks is the optical encoder/decoder embodiment technology which codes information to fixed patterns at the transmitting side and decodes information at the receiving side. The selection of optimized encoding method for network composition is necessary to accommodate a maximum number of subscribers that have simultaneous access over the local area network and the bandwidth of subscriber services available on it. When composing this encoder/decoder optically, passive elements are exclusively used, if possible, so as to make the composition method simple and economical. In this paper we present an analysis of OCDMA passive communication networks focusing on the modeling of optical encoder/decoder blocks for different types of delay elements. The main objective of the paper is to study the performance of these networks including the effect of the passive encoder/decoder parameters such as splitter and optical delay line losses. Different types of delay lines are proposed including optical fibers and fiber Bragg gratings (FBG) as delay elements for the selection of the optical delay line which achieves a better performance. A statistical model of an OCDMA network has been developed and used for this study, including the effect of different passive encoder/decoder parameters, multiple access interference and noise","PeriodicalId":261853,"journal":{"name":"2006 International Conference on Computer Engineering and Systems","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122475740","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: 8

A Hardware Accelerator for SAT Solving 求解SAT的硬件加速器

2006 International Conference on Computer Engineering and Systems Pub Date : 2006-11-01 DOI: 10.1109/ICCES.2006.320437

M. Safar, M. Shalan, M. El-Kharashi, A. Salem

引用次数: 1

A Comparison of Principal Component Analysis and Generalized Hebbian Algorithm for Image Compression and Face Recognition 主成分分析与广义Hebbian算法在图像压缩与人脸识别中的比较

2006 International Conference on Computer Engineering and Systems Pub Date : 2006-11-01 DOI: 10.1109/ICCES.2006.320450

M. Rizk, E. Koosha

引用次数: 9