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.2006.5686221
A. Gharaveisi, Masoud Rashidinejad, A. Khajezadeh, Hossein Farahmand
Security in stressed power systems is seriously affected by voltage collapse phenomena. This paper proposes a new algorithm for determining the voltage security margin. The algorithm is based on the perturbation method and has a very high computational efficiency. Therefore it can be used for on-line and real-time voltage evaluation. The proposed approach has been validated using IEEE14, IEEE30 and IEEE57 Bus systems.
{"title":"Perturbation method based evaluation of power system voltage security","authors":"A. Gharaveisi, Masoud Rashidinejad, A. Khajezadeh, Hossein Farahmand","doi":"10.1109/IEEEGCC.2006.5686221","DOIUrl":"https://doi.org/10.1109/IEEEGCC.2006.5686221","url":null,"abstract":"Security in stressed power systems is seriously affected by voltage collapse phenomena. This paper proposes a new algorithm for determining the voltage security margin. The algorithm is based on the perturbation method and has a very high computational efficiency. Therefore it can be used for on-line and real-time voltage evaluation. The proposed approach has been validated using IEEE14, IEEE30 and IEEE57 Bus systems.","PeriodicalId":433452,"journal":{"name":"2006 IEEE GCC Conference (GCC)","volume":"3 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":"114333324","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.2006.5686227
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.2006.5686175
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}
Pub Date : 2006-03-20DOI: 10.1109/IEEEGCC.2006.5686188
S. Alqahtani, A. Mahmoud
This paper studies and analyze two call admission control (CAC) schemes in multimedia cellular wireless networks. These call admission control algorithms are studied for different network configurations. These configurations include, employing the queuing techniques for voice handoff with finite lifetime, differentiating between voice and data calls in terms of the average channel holding time, data bandwidth requirements, and employing queuing techniques for voice handoff and data handoff calls with finite lifetime. The main contribution of this paper is the development of an analytical model for each of the two CAC algorithms specified in this study. In addition to the call blocking and termination probabilities which are usually cited as the performance metrics, in this work we derive and evaluate other metrics that have not be considered by previous work such as the average queue length, the average queue residency, and the time-out probability for handoff calls. We also develop a simulation tool to test and verify our results. Finally, we present numerical examples to demonstrate the performance of the proposed CAC algorithms and we show that analytical and simulation results are in total agreement.
{"title":"Analytical modeling of call admission control schemes for multiclass traffic mobile wireless networks","authors":"S. Alqahtani, A. Mahmoud","doi":"10.1109/IEEEGCC.2006.5686188","DOIUrl":"https://doi.org/10.1109/IEEEGCC.2006.5686188","url":null,"abstract":"This paper studies and analyze two call admission control (CAC) schemes in multimedia cellular wireless networks. These call admission control algorithms are studied for different network configurations. These configurations include, employing the queuing techniques for voice handoff with finite lifetime, differentiating between voice and data calls in terms of the average channel holding time, data bandwidth requirements, and employing queuing techniques for voice handoff and data handoff calls with finite lifetime. The main contribution of this paper is the development of an analytical model for each of the two CAC algorithms specified in this study. In addition to the call blocking and termination probabilities which are usually cited as the performance metrics, in this work we derive and evaluate other metrics that have not be considered by previous work such as the average queue length, the average queue residency, and the time-out probability for handoff calls. We also develop a simulation tool to test and verify our results. Finally, we present numerical examples to demonstrate the performance of the proposed CAC algorithms and we show that analytical and simulation results are in total agreement.","PeriodicalId":433452,"journal":{"name":"2006 IEEE GCC Conference (GCC)","volume":"518 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":"123111751","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.2006.5686226
M. Rashidinejad, A. Gharaveisi, M. Fotuhi-Firoozabad, M. Shojaee
Electricity industry is ongoing towards reregulation worldwide. Some new market issues that experienced in other commodities markets are suggested to be exercised in electricity markets. Electricity and ancillary services pricing under different schemes are such issues. Pricing mechanism can be applied via several sequential markets. A day-ahead market associated with joint energy and ancillary services dispatch is used as a benchmark for contingency reserves option pricing. This paper proposed a new methodology aimed to derive the option pricing for contingency reserves as a major part of ancillary services in restructured power systems.
{"title":"Energy and contingency reserves markets under restructured electricity environment","authors":"M. Rashidinejad, A. Gharaveisi, M. Fotuhi-Firoozabad, M. Shojaee","doi":"10.1109/IEEEGCC.2006.5686226","DOIUrl":"https://doi.org/10.1109/IEEEGCC.2006.5686226","url":null,"abstract":"Electricity industry is ongoing towards reregulation worldwide. Some new market issues that experienced in other commodities markets are suggested to be exercised in electricity markets. Electricity and ancillary services pricing under different schemes are such issues. Pricing mechanism can be applied via several sequential markets. A day-ahead market associated with joint energy and ancillary services dispatch is used as a benchmark for contingency reserves option pricing. This paper proposed a new methodology aimed to derive the option pricing for contingency reserves as a major part of ancillary services in restructured power systems.","PeriodicalId":433452,"journal":{"name":"2006 IEEE GCC Conference (GCC)","volume":"8 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":"130135474","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}
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