Pub Date : 2006-03-20DOI: 10.1109/IEEEGCC.2006.5686243
M. Tounsi
Most academic institutions face the problem of scheduling both courses and examinations in every year. As the difficulty of the problem increases, due to a large number of students, courses, exams, rooms and invigilator constraints, an automated resource allocation system that can produce feasible and high quality timetables is often required. To provide a good university planning, a fast and efficient solver is required. Various techniques are proposed to solve the timetabling problem, since course planning is a combinatorial optimization problem, we apply a heuristic based approach to solve it. In this paper we propose a solver based on using an efficient heuristic for planning: tabu search. We show how all hard and soft constraints are taken into account to solve some real life benchmarks. We conclude the paper by presenting some issues to improve the proposed algorithm and discussing their the possibility for hybridizing with other powerful heuristics.
{"title":"A heuristic-based technique for university resource allocation problems","authors":"M. Tounsi","doi":"10.1109/IEEEGCC.2006.5686243","DOIUrl":"https://doi.org/10.1109/IEEEGCC.2006.5686243","url":null,"abstract":"Most academic institutions face the problem of scheduling both courses and examinations in every year. As the difficulty of the problem increases, due to a large number of students, courses, exams, rooms and invigilator constraints, an automated resource allocation system that can produce feasible and high quality timetables is often required. To provide a good university planning, a fast and efficient solver is required. Various techniques are proposed to solve the timetabling problem, since course planning is a combinatorial optimization problem, we apply a heuristic based approach to solve it. In this paper we propose a solver based on using an efficient heuristic for planning: tabu search. We show how all hard and soft constraints are taken into account to solve some real life benchmarks. We conclude the paper by presenting some issues to improve the proposed algorithm and discussing their the possibility for hybridizing with other powerful heuristics.","PeriodicalId":433452,"journal":{"name":"2006 IEEE GCC Conference (GCC)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122421918","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}
Pub Date : 2006-03-20DOI: 10.1109/IEEEGCC.2006.5686229
A. S. Sabzevary
In this paper for a multi-machine power system equipped with Unified Power Flow Controller (UPFC) an observer based digital control is designed. The Unified Power Flow allocation in the system is determined by minimization of a performance index which is calculated by offline simulations. Global Positioning System (GPS) data transmission facilities are used to synchronize global data of the system to produce an observer based digital control input for the UPFC.
{"title":"GPS based digital control for power systems with UPFC effect cosiderations","authors":"A. S. Sabzevary","doi":"10.1109/IEEEGCC.2006.5686229","DOIUrl":"https://doi.org/10.1109/IEEEGCC.2006.5686229","url":null,"abstract":"In this paper for a multi-machine power system equipped with Unified Power Flow Controller (UPFC) an observer based digital control is designed. The Unified Power Flow allocation in the system is determined by minimization of a performance index which is calculated by offline simulations. Global Positioning System (GPS) data transmission facilities are used to synchronize global data of the system to produce an observer based digital control input for the UPFC.","PeriodicalId":433452,"journal":{"name":"2006 IEEE GCC Conference (GCC)","volume":"116 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127993967","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}
Pub Date : 2006-03-20DOI: 10.1109/IEEEGCC.2006.5686244
N. Zaeri, F. Mokhtarian, A. Cherri
The Principal Component Analysis or the eigenface technique provides a practical solution to the problem of face recognition. Recently, many face descriptors for MPEG-7 have been proposed for face retrieval in video streams. In this paper, a new method for face recognition is presented based on extracting the most discriminant features of the MPEG-7 Fourier Feature Descriptors of the face space, defined by MPEG-7 face recognition technique, through the implementation of the eigenface technique. It will be demonstrated that the proposed method improves the recognition rate and copes better with pose variations under different facial expressions and varying face conditions, as well as illumination variations. In addition, the proposed method achieves substantial savings in the computation time needed by the recognition system.
{"title":"Extension of the MPEG-7 Fourier Feature Descriptor for face recognition using PCA","authors":"N. Zaeri, F. Mokhtarian, A. Cherri","doi":"10.1109/IEEEGCC.2006.5686244","DOIUrl":"https://doi.org/10.1109/IEEEGCC.2006.5686244","url":null,"abstract":"The Principal Component Analysis or the eigenface technique provides a practical solution to the problem of face recognition. Recently, many face descriptors for MPEG-7 have been proposed for face retrieval in video streams. In this paper, a new method for face recognition is presented based on extracting the most discriminant features of the MPEG-7 Fourier Feature Descriptors of the face space, defined by MPEG-7 face recognition technique, through the implementation of the eigenface technique. It will be demonstrated that the proposed method improves the recognition rate and copes better with pose variations under different facial expressions and varying face conditions, as well as illumination variations. In addition, the proposed method achieves substantial savings in the computation time needed by the recognition system.","PeriodicalId":433452,"journal":{"name":"2006 IEEE GCC Conference (GCC)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133119552","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}
Pub Date : 2006-03-20DOI: 10.1109/IEEEGCC.2006.5686182
W. Aljaism, M. Nagrial, J. Rizk
This paper shows the developed torque of a 4 phase 8/6 poles switched reluctance motor by simulation tests. The analysis for the torque is computed by finite element method. The torque optimisation is investigated by changing the pole arc/pole pitch ratio (γ) of the stator, rotor and yoke dimensions.
{"title":"Analysis and torque optimisation of switched reluctance motor","authors":"W. Aljaism, M. Nagrial, J. Rizk","doi":"10.1109/IEEEGCC.2006.5686182","DOIUrl":"https://doi.org/10.1109/IEEEGCC.2006.5686182","url":null,"abstract":"This paper shows the developed torque of a 4 phase 8/6 poles switched reluctance motor by simulation tests. The analysis for the torque is computed by finite element method. The torque optimisation is investigated by changing the pole arc/pole pitch ratio (γ) of the stator, rotor and yoke dimensions.","PeriodicalId":433452,"journal":{"name":"2006 IEEE GCC Conference (GCC)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132199786","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}
Pub Date : 2006-03-20DOI: 10.1109/IEEEGCC.2006.5686254
S. Djamel, B. Mouldi
Embedded Zerotree Wavelet (EZW) coder has become very popular in image compression applications, owing to its simplicity and high coding efficiency. In this paper, we first illustrate the Shapiro algorithm (EZW). In second, we combine the discrete cosine transform (DCT) with an embedded zerotree quantizer in order to obtain the Xiong et al. algorithm (EZDCT). Our aim is to improve the bit rate gotten by EZDCT algorithm while changing the resolution level and to make a comparison with the EZW algorithm. The experiments show that the DCT-based embedded image coder gives higher peak signal-to-noise (PSNR) than Joint Photographic Expert Group (JPEG) and almost similar than Shapiro's EZW coder. Likewise, our contribution also gave an improvement to the results gotten by Zhao et al.
{"title":"Comparative performance of embedded coders at high quality","authors":"S. Djamel, B. Mouldi","doi":"10.1109/IEEEGCC.2006.5686254","DOIUrl":"https://doi.org/10.1109/IEEEGCC.2006.5686254","url":null,"abstract":"Embedded Zerotree Wavelet (EZW) coder has become very popular in image compression applications, owing to its simplicity and high coding efficiency. In this paper, we first illustrate the Shapiro algorithm (EZW). In second, we combine the discrete cosine transform (DCT) with an embedded zerotree quantizer in order to obtain the Xiong et al. algorithm (EZDCT). Our aim is to improve the bit rate gotten by EZDCT algorithm while changing the resolution level and to make a comparison with the EZW algorithm. The experiments show that the DCT-based embedded image coder gives higher peak signal-to-noise (PSNR) than Joint Photographic Expert Group (JPEG) and almost similar than Shapiro's EZW coder. Likewise, our contribution also gave an improvement to the results gotten by Zhao et al.","PeriodicalId":433452,"journal":{"name":"2006 IEEE GCC Conference (GCC)","volume":"203 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132277010","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}
Pub Date : 2006-03-20DOI: 10.1109/IEEEGCC.2006.5686236
T. Laroussi, M. Barkat
In radar systems, detection performance is always related to target models and background environments. In time diversity systems, the probability of detection is shown to be sensitive to the degree of correlation among the target echoes. In this paper, we derive exact expressions for the probabilities of false alarm and detection of a pulse-to-pulse partially correlated target with 2K degrees of freedom for the Order Statistics Constant False Alarm Rate (OS-CFAR) detector. The analysis is carried out for the "non conventional time diversity system" (NCTDS) and multiple target situations. The obtained results are compared with the "conventional time diversity system" (CTDS).
{"title":"A performance comparison of two time diversity systems using OS-CFAR detection for partially correlated chi-square targets and multiple target situations","authors":"T. Laroussi, M. Barkat","doi":"10.1109/IEEEGCC.2006.5686236","DOIUrl":"https://doi.org/10.1109/IEEEGCC.2006.5686236","url":null,"abstract":"In radar systems, detection performance is always related to target models and background environments. In time diversity systems, the probability of detection is shown to be sensitive to the degree of correlation among the target echoes. In this paper, we derive exact expressions for the probabilities of false alarm and detection of a pulse-to-pulse partially correlated target with 2K degrees of freedom for the Order Statistics Constant False Alarm Rate (OS-CFAR) detector. The analysis is carried out for the \"non conventional time diversity system\" (NCTDS) and multiple target situations. The obtained results are compared with the \"conventional time diversity system\" (CTDS).","PeriodicalId":433452,"journal":{"name":"2006 IEEE GCC Conference (GCC)","volume":"136 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133270478","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}
Pub Date : 2006-03-20DOI: 10.1109/IEEEGCC.2006.5686227
M. Aljada, C. Poh, K. Alameh, K. Al-Begain
The implementation of packet switched optical network architectures bring forth a set of new challenges in network node design. This paper discusses and demonstrates promising MicroPhotonic architectures that perform optical header recognition and reconfigurable add/drop multiplexing for future optical networks.
{"title":"MicroPhotonic components for optical packet-switched networks","authors":"M. Aljada, C. Poh, K. Alameh, K. Al-Begain","doi":"10.1109/IEEEGCC.2006.5686227","DOIUrl":"https://doi.org/10.1109/IEEEGCC.2006.5686227","url":null,"abstract":"The implementation of packet switched optical network architectures bring forth a set of new challenges in network node design. This paper discusses and demonstrates promising MicroPhotonic architectures that perform optical header recognition and reconfigurable add/drop multiplexing for future optical networks.","PeriodicalId":433452,"journal":{"name":"2006 IEEE GCC Conference (GCC)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115402366","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}
Pub Date : 2006-03-20DOI: 10.1109/IEEEGCC.2006.5686205
M. Mazloom, S. Kasaei
This work presents a method to increase the face recognition accuracy using a combination of Wavelet, PCA, and Neural Networks. Preprocessing, feature extraction and classification rules are three crucial issues for face recognition. This paper presents a hybrid approach to employ these issues. For preprocessing and feature extraction steps, we apply a combination of wavelet transform and PCA. During the classification stage, the Neural Network (MLP) is explored to achieve a robust decision in presence of wide facial variations. The computational load of the proposed method is greatly reduced as comparing with the original PCA based method on the Yale and ORL face databases. Moreover, the accuracy of the proposed method is improved.
{"title":"Combination of Wavelet and PCA for face recognition","authors":"M. Mazloom, S. Kasaei","doi":"10.1109/IEEEGCC.2006.5686205","DOIUrl":"https://doi.org/10.1109/IEEEGCC.2006.5686205","url":null,"abstract":"This work presents a method to increase the face recognition accuracy using a combination of Wavelet, PCA, and Neural Networks. Preprocessing, feature extraction and classification rules are three crucial issues for face recognition. This paper presents a hybrid approach to employ these issues. For preprocessing and feature extraction steps, we apply a combination of wavelet transform and PCA. During the classification stage, the Neural Network (MLP) is explored to achieve a robust decision in presence of wide facial variations. The computational load of the proposed method is greatly reduced as comparing with the original PCA based method on the Yale and ORL face databases. Moreover, the accuracy of the proposed method is improved.","PeriodicalId":433452,"journal":{"name":"2006 IEEE GCC Conference (GCC)","volume":"63 11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116444419","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}
Pub Date : 2006-03-20DOI: 10.1109/IEEEGCC.2006.5686198
S. Abdelkader
This paper presents a new method for calculating the individual generators' shares in line flows, line losses and loads. The method is described and illustrated on active power flows, but it can be applied in the same way to reactive power flows. Starting from a power flow solution, the line flow matrix is formed. This matrix is used for identifying node types, tracing the power flow from generators downstream to loads, and to determine generators' participation factors to lines and loads. Neither exhaustive search nor matrix inversion is required. Hence, the method is claimed to be the least computationally demanding amongst all of the similar methods.
{"title":"Allocating generation to loads and line flows for transmission open access","authors":"S. Abdelkader","doi":"10.1109/IEEEGCC.2006.5686198","DOIUrl":"https://doi.org/10.1109/IEEEGCC.2006.5686198","url":null,"abstract":"This paper presents a new method for calculating the individual generators' shares in line flows, line losses and loads. The method is described and illustrated on active power flows, but it can be applied in the same way to reactive power flows. Starting from a power flow solution, the line flow matrix is formed. This matrix is used for identifying node types, tracing the power flow from generators downstream to loads, and to determine generators' participation factors to lines and loads. Neither exhaustive search nor matrix inversion is required. Hence, the method is claimed to be the least computationally demanding amongst all of the similar methods.","PeriodicalId":433452,"journal":{"name":"2006 IEEE GCC Conference (GCC)","volume":"187 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114736315","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}
Pub Date : 2006-03-20DOI: 10.1109/IEEEGCC.2006.5686175
T. Moazzeni
Deterministic channel modeling approaches are slow to run, require a detailed description of the environment (which is sometimes expensive or even impossible to obtain) and may be difficult to implement. A new approach for the modeling of wireless propagation in LOS environment is presented. We treat the meteorological conditions by weather variations through using neural networks. The aim of the paper is to propose a neural model for understanding the relation between the path loss, the propagation delay and the atmosphere parameters such as humidity, pressure, temperature. It is clarified the propagation factors affecting the wireless channel in the frequency range 300 MHz to 100 GHz. We use grey box approach based on fundamental principles of radio wave propagation physics and measurement data. To verify the accuracy of the model, evaluation and validation of the model are performed by simulating the channel using different sets of actual data from different situations. It is shown that this model can handle unusual atmosphere conditions and the model can be applied to better calculate the delay propagation.
{"title":"A wireless propagation channel model with meteorological quantities using neural networks","authors":"T. Moazzeni","doi":"10.1109/IEEEGCC.2006.5686175","DOIUrl":"https://doi.org/10.1109/IEEEGCC.2006.5686175","url":null,"abstract":"Deterministic channel modeling approaches are slow to run, require a detailed description of the environment (which is sometimes expensive or even impossible to obtain) and may be difficult to implement. A new approach for the modeling of wireless propagation in LOS environment is presented. We treat the meteorological conditions by weather variations through using neural networks. The aim of the paper is to propose a neural model for understanding the relation between the path loss, the propagation delay and the atmosphere parameters such as humidity, pressure, temperature. It is clarified the propagation factors affecting the wireless channel in the frequency range 300 MHz to 100 GHz. We use grey box approach based on fundamental principles of radio wave propagation physics and measurement data. To verify the accuracy of the model, evaluation and validation of the model are performed by simulating the channel using different sets of actual data from different situations. It is shown that this model can handle unusual atmosphere conditions and the model can be applied to better calculate the delay propagation.","PeriodicalId":433452,"journal":{"name":"2006 IEEE GCC Conference (GCC)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115446910","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}
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