{"title":"Fermat Number Transform diffusion's analysis","authors":"M. F. Al-Gailani, S. Boussakta, J. Neasham","doi":"10.1109/IEEEGCC.2011.5752501","DOIUrl":"https://doi.org/10.1109/IEEEGCC.2011.5752501","url":null,"abstract":"The Fermat Number Transform (FNT) has distinctive features, making it attractive for use in the design of secure cryptosystems. Advantages of FNT include parameterization; by achieving variable block size and key size, sensitivity; element values change for any changes to the input, output or key elements. Additionally, it is suitable for real time implementations as a fast algorithm could be adapted to it to speed up processing. The work presented here is an analysis of the transform's avalanche and diffusion power to evaluate its effectiveness for security applications.","PeriodicalId":119104,"journal":{"name":"2011 IEEE GCC Conference and Exhibition (GCC)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126862278","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}
{"title":"UAE future electrical engineers lead in serving the community","authors":"K. A. Khuffash, L. Lamont, L. Chaar","doi":"10.1109/IEEEGCC.2011.5752496","DOIUrl":"https://doi.org/10.1109/IEEEGCC.2011.5752496","url":null,"abstract":"This paper discusses the application of a service learning project in the educational process of the United Arab Emirates (UAE). Reviewed articles discussing the implementation of service learning in developed countries such as the United States of America (USA), and the United Kingdom (UK) where standards for such applications have been drafted and highlighted. The paper presents an example of service learning projects conducted in the UAE, how the project was conducted and the response of the client and students after project completion. In addition, the paper highlights various skills developed by the students during this project. Finally the paper illustrates the benefits of service learning projects in the development of the student's personality, confidence and educational skills.","PeriodicalId":119104,"journal":{"name":"2011 IEEE GCC Conference and Exhibition (GCC)","volume":"78 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133719028","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}
{"title":"Transform-based multi-feature optimization for robust distributed speech recognition","authors":"D. Addou, S. Selouani, M. Boudraa, B. Boudraa","doi":"10.1109/IEEEGCC.2011.5752586","DOIUrl":"https://doi.org/10.1109/IEEEGCC.2011.5752586","url":null,"abstract":"This paper describes a noise-robust Distributed Speech Recognition (DSR) front-end using a combination of conventional Mel-cepstral Coefficient (MFCC) and Line Spectral Frequencies (LSF). These features are adequately transformed and reduced in a multi-stream scheme using Karhunen-Loeve Transform (KLT). We investigate the performance of a new front-end DSR in terms of recognition accuracy in adverse conditions as well as in terms of dimensionality reduction. Our results showed that for highly noisy speech, the proposed transformation scheme leads to a significant improvement in recognition accuracy on Aurora 2 task.","PeriodicalId":119104,"journal":{"name":"2011 IEEE GCC Conference and Exhibition (GCC)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134043358","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}
{"title":"Characterizing the UAE national Web with a two-step filter","authors":"M. Sanver, Chiraz BenAbdelkader","doi":"10.1109/IEEEGCC.2011.5752614","DOIUrl":"https://doi.org/10.1109/IEEEGCC.2011.5752614","url":null,"abstract":"The Web as a large collection of pages is organized around a hierarchical domain system. For searching, analyzing or other purposes, selecting a subset from it is a challenging problem. In this paper, we address the issue of determining the pages related to a country as a subset. A Web page ‘belongs’ to a national Web if it bears or represents identities from a particular country. Using the national domain such as .ae, .uk, as primary identifier and IP address, geographic locations, and language as augmented/secondary identifiers is no longer adequate. We propose a two-step Web page classifier (1) pre-crawl filter and (2) post-crawl filter. The former stage prunes out Web pages not belonging to the nation under investigation before fetching/downloading a Web page while the later stage filters irrelevant ones through a multiple-step analysis after downloading a page. We used the United Arab Emirates (UAE) national Web as a case study. We share our experience crawling the national Web, introduce the crawler designed to accomplish the task, and present some of our results and findings.","PeriodicalId":119104,"journal":{"name":"2011 IEEE GCC Conference and Exhibition (GCC)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131831776","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}
{"title":"Adequacy assessment of bulk electric power systems incorporating wind energy","authors":"E. Bassiouny, A. El-Ela, S. A. Othman","doi":"10.1109/IEEEGCC.2011.5752513","DOIUrl":"https://doi.org/10.1109/IEEEGCC.2011.5752513","url":null,"abstract":"Distributed generation units such as wind generation farms at the IEEE reliability test system (RTS) to assess the bulk electric system reliability. IEEE test system is simulated and analyzed at this paper; several scenarios are implemented to the test system to assess the impact of penetrating Wind generation farms at the power system reliability indices at composite level including both the generation and transmission (HLII). This study is important for planners to determine the best locations of wind generation farms and the optimal percentage of the penetration level. The results of this work show the impact of adding wind generation farms at different locations and with different Penetration level.","PeriodicalId":119104,"journal":{"name":"2011 IEEE GCC Conference and Exhibition (GCC)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133182131","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}
{"title":"OFDM with Permutation block spreading","authors":"S. Moussa, A. Dahmane, C. D’amours, H. Hamam","doi":"10.1109/IEEEGCC.2011.5752574","DOIUrl":"https://doi.org/10.1109/IEEEGCC.2011.5752574","url":null,"abstract":"In this paper, a new Orthogonal Frequency Division Multiplexing (OFDM) with Permutation block spreading scheme is introduced; the transmitted stream is divided into blocks and the data symbols in each block is used to select the spreading code. Therefore, the increased frequency diversity in the system due to spreading improves bit error rate performance in the presence of frequency selective fading channels. In addition to that the new scheme improves symbol detection due to the inherited coding in the spreading technique. Simulation results show significant improvement in BER performance for the proposed system compared with conventional OFDM.","PeriodicalId":119104,"journal":{"name":"2011 IEEE GCC Conference and Exhibition (GCC)","volume":"137 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132831478","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}
{"title":"A Genetic Programming approach to face recognition","authors":"B. Bozorgtabar, Farzad Noorian, G. R. Rad","doi":"10.1109/IEEEGCC.2011.5752477","DOIUrl":"https://doi.org/10.1109/IEEEGCC.2011.5752477","url":null,"abstract":"Increasing demand for a fast and reliable face recognition technology has obliged researchers to try and examine different pattern recognition schemes. But until now, Genetic Programming (GP), an acclaimed pattern recognition, data mining and relation discovery methodology, has been neglected in face recognition literature. This paper tries to apply GP to face recognition. First Principal Component Analysis (PCA) is used to extract features, and then GP is used to classify image groups. To further improve the results, a leveraging method is also utilized. It is shown that although GP might not be efficient in its isolated form, a leveraged GP can offer results comparable to other Face recognition solutions.","PeriodicalId":119104,"journal":{"name":"2011 IEEE GCC Conference and Exhibition (GCC)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123996559","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}
{"title":"Participation of facts in stabilizing DFIG with crowbar during grid fault based on grid codes","authors":"K. Okedu, S. Muyeen, R. Takahashi, J. Tamura","doi":"10.1109/IEEEGCC.2011.5752550","DOIUrl":"https://doi.org/10.1109/IEEEGCC.2011.5752550","url":null,"abstract":"This paper investigates the effect of connecting FACTS (Flexible AC Transmission System) device such as a STATCOM (Static Synchronous Compensator) to the point of common coupling (PCC) of a wind farm composed of DFIG. Simulation results show that a FACTS device can effectively enhance the performance of the DFIG, when it is disconnected by the crowbar switch during grid fault by providing additional reactive power to the system, thus improving the voltage instability performance of the DFIG and the wind farm as well.","PeriodicalId":119104,"journal":{"name":"2011 IEEE GCC Conference and Exhibition (GCC)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122884634","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}
{"title":"An advanced toolset for network optimization problems","authors":"K. Poon, A. Conway, Tim Glover","doi":"10.1109/IEEEGCC.2011.5752519","DOIUrl":"https://doi.org/10.1109/IEEEGCC.2011.5752519","url":null,"abstract":"Due to the severe competition and budget constraints in the telecoms market, many network operators are exploring different ways to reduce their operating cost while still providing excellent services to their customers. One of the possible savings that can be made is to apply software planning tools to automate and optimize network designs at the lowest possible cost. This paper describes how a novel network optimization toolset named BT NetDesign™ (BTND), based on advanced network planning and optimization technology, can be used to automate network design. An overview of BTND is provided. Different applications created by BTND are described.","PeriodicalId":119104,"journal":{"name":"2011 IEEE GCC Conference and Exhibition (GCC)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125336081","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}
M. Marsaline Beno, L. Rajaji, V. M. Varatharaju, Arnold N. Santos
{"title":"Rotor position estimation of 6/4 Switched Reluctance Motor using a novel neural network algorithm","authors":"M. Marsaline Beno, L. Rajaji, V. M. Varatharaju, Arnold N. Santos","doi":"10.1109/IEEEGCC.2011.5752630","DOIUrl":"https://doi.org/10.1109/IEEEGCC.2011.5752630","url":null,"abstract":"This paper presents a novel approach for estimating the rotor position of a Switched Reluctance Motor (SRM) drive system using the Cascade Correlation Artificial Neural Network Algorithm (CCNNA). This technique estimates rotor position by measuring the three-phase voltages and currents and using magnetic characteristics of the SRM, with the aid of an ANN. The rotor position estimating technique is used in a high-performance sensor less variable speed SRM drive. The results are compared with the measured values, and the error analyses are given to determine the performance of the developed method. The error analyses have shown great accuracy and successful rotor position estimation technique for a 6/4 pole SRM using the cascade correlation algorithm-based ANN.","PeriodicalId":119104,"journal":{"name":"2011 IEEE GCC Conference and Exhibition (GCC)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114660286","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}