Pub Date : 2008-07-20DOI: 10.1109/SSD.2008.4632812
M. Al-Omari, R. Qahwaji, T. Colak, S. Ipson
In this paper, Associations algorithms and Support Vector Machines (SVM) are applied to analyse years of solar catalogues data and to study the associations between eruptive filaments/prominences and Coronal Mass Ejections (CMEs). The aim is to identify patterns of associations that can be represented using SVM learning rules to enable real-time and reliable CME predictions. The NGDC filaments catalogue and the SOHO/LASCO CMEs catalogue are processed to associate filaments with CMEs based on timing and location information. Automated systems are created to process and associate years of filaments and CME data, which are later arranged in numerical training vectors and fed to machine learning algorithms to extract the embedded knowledge and provide learning rules that can be used for the automated prediction of CMEs. Features representing the filament time, duration, type and extent are extracted from all the associated (A) and not-associated (NA) filaments and converted to a numerical format that is suitable for machine learning use. The machine learning system predicts if the filament is likely to initiate a CME. Intensive experiments are carried out to optimise the SVM. The prediction performance of SVM is analysed and recommendations for enhancing the performance are provided.
{"title":"Support Vector Machines for automated knowledge extraction from historical solar data: A practical study on CME predictions","authors":"M. Al-Omari, R. Qahwaji, T. Colak, S. Ipson","doi":"10.1109/SSD.2008.4632812","DOIUrl":"https://doi.org/10.1109/SSD.2008.4632812","url":null,"abstract":"In this paper, Associations algorithms and Support Vector Machines (SVM) are applied to analyse years of solar catalogues data and to study the associations between eruptive filaments/prominences and Coronal Mass Ejections (CMEs). The aim is to identify patterns of associations that can be represented using SVM learning rules to enable real-time and reliable CME predictions. The NGDC filaments catalogue and the SOHO/LASCO CMEs catalogue are processed to associate filaments with CMEs based on timing and location information. Automated systems are created to process and associate years of filaments and CME data, which are later arranged in numerical training vectors and fed to machine learning algorithms to extract the embedded knowledge and provide learning rules that can be used for the automated prediction of CMEs. Features representing the filament time, duration, type and extent are extracted from all the associated (A) and not-associated (NA) filaments and converted to a numerical format that is suitable for machine learning use. The machine learning system predicts if the filament is likely to initiate a CME. Intensive experiments are carried out to optimise the SVM. The prediction performance of SVM is analysed and recommendations for enhancing the performance are provided.","PeriodicalId":267264,"journal":{"name":"2008 5th International Multi-Conference on Systems, Signals and Devices","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130969432","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 : 2008-07-20DOI: 10.1109/SSD.2008.4632824
L. Paul, J. Jacob, Abraham T Mathew
This paper outlines a constructive procedure for the synthesis of linear multivariable systems subjected to constant reference input and constant disturbance in the partial state. The synthesis procedure is capable of producing a stable desired closed loop transfer matrix which can be expressed as the product of an open loop transfer matrix and any proper rational transfer matrix, assuming that the given system has no zeros at the origin. The closed loop transfer matrix is realized via integral feedforward compensation with asymptotic state estimation while simultaneously eliminating the effect of steady state disturbance at the output and track a constant reference input. The conditions for achieving a variety of specific design goals such as (1) closed loop stability, (2) static decoupling with complete and arbitrary closed loop pole placement, and (3) dynamic decoupling subjected to step disturbance is also determined. The compensation scheme is presented in the frequency domain and is equivalent to the type 1 servo design in the time domain when the plant has no integrator.
{"title":"Tracking and regulation in linear multivariable systems: A frequency domain approach","authors":"L. Paul, J. Jacob, Abraham T Mathew","doi":"10.1109/SSD.2008.4632824","DOIUrl":"https://doi.org/10.1109/SSD.2008.4632824","url":null,"abstract":"This paper outlines a constructive procedure for the synthesis of linear multivariable systems subjected to constant reference input and constant disturbance in the partial state. The synthesis procedure is capable of producing a stable desired closed loop transfer matrix which can be expressed as the product of an open loop transfer matrix and any proper rational transfer matrix, assuming that the given system has no zeros at the origin. The closed loop transfer matrix is realized via integral feedforward compensation with asymptotic state estimation while simultaneously eliminating the effect of steady state disturbance at the output and track a constant reference input. The conditions for achieving a variety of specific design goals such as (1) closed loop stability, (2) static decoupling with complete and arbitrary closed loop pole placement, and (3) dynamic decoupling subjected to step disturbance is also determined. The compensation scheme is presented in the frequency domain and is equivalent to the type 1 servo design in the time domain when the plant has no integrator.","PeriodicalId":267264,"journal":{"name":"2008 5th International Multi-Conference on Systems, Signals and Devices","volume":"110 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131645895","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 : 2008-07-20DOI: 10.1109/SSD.2008.4632842
F. Mahmoud, S. A. Mawjoud
The aim of the paper is the design a proposed WCDMA system for an area of (4 km times 2.5 km) at Mosul city (in Iraq) which is compatible with existing GSM system in order to increase the number of users with good performance and reasonable cost. Using network planning strategies for wideband CDMA (NPSW) software .The main feature is the implementation of the topographical map to the NPSW program and suggestions to increase the number of users of the wideband CDMA system.
{"title":"Planning and design of a WCDMA network compatible with existing GSM system in Mosul city","authors":"F. Mahmoud, S. A. Mawjoud","doi":"10.1109/SSD.2008.4632842","DOIUrl":"https://doi.org/10.1109/SSD.2008.4632842","url":null,"abstract":"The aim of the paper is the design a proposed WCDMA system for an area of (4 km times 2.5 km) at Mosul city (in Iraq) which is compatible with existing GSM system in order to increase the number of users with good performance and reasonable cost. Using network planning strategies for wideband CDMA (NPSW) software .The main feature is the implementation of the topographical map to the NPSW program and suggestions to increase the number of users of the wideband CDMA system.","PeriodicalId":267264,"journal":{"name":"2008 5th International Multi-Conference on Systems, Signals and Devices","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130647307","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 : 2008-07-20DOI: 10.1109/SSD.2008.4632881
M. Jabri, H. Chouiref, H. Jerbi, N. Benhadj Braiek
Fuzzy logic systems have been extensively and successfully applied in control system over the past few years. However, they have been used much less often to estimation problems. Accordingly, this work proposes an application of fuzzy logic controller to estimate parameters of a series DC motor. The field and the armature resistance estimation of DC series motor is an important problem in order to implement a robust closed-loop control. Hence, the resistance is estimated by using fuzzy logic method according to the process behavior reflected in the measured output data. Generally, the parameter estimation is done by minimizing the coast criteria and using the squared error or other function. However, in the present development we try to replace the coast criteria batch and the optimization algorithm by fuzzy logic system.
{"title":"Fuzzy logic parameter estimation of an electrical system","authors":"M. Jabri, H. Chouiref, H. Jerbi, N. Benhadj Braiek","doi":"10.1109/SSD.2008.4632881","DOIUrl":"https://doi.org/10.1109/SSD.2008.4632881","url":null,"abstract":"Fuzzy logic systems have been extensively and successfully applied in control system over the past few years. However, they have been used much less often to estimation problems. Accordingly, this work proposes an application of fuzzy logic controller to estimate parameters of a series DC motor. The field and the armature resistance estimation of DC series motor is an important problem in order to implement a robust closed-loop control. Hence, the resistance is estimated by using fuzzy logic method according to the process behavior reflected in the measured output data. Generally, the parameter estimation is done by minimizing the coast criteria and using the squared error or other function. However, in the present development we try to replace the coast criteria batch and the optimization algorithm by fuzzy logic system.","PeriodicalId":267264,"journal":{"name":"2008 5th International Multi-Conference on Systems, Signals and Devices","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126564525","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 : 2008-07-20DOI: 10.1109/SSD.2008.4632855
A. Laifa, M. Boudour
Location of the static VAR compensator (SVC) and other types of FACTS devices is important for the enhancement of practical power systems voltage stability. In this paper, a Multi-objective particle swarm optimization (MOPSO) is used to solve a mixed continuous-discrete multi-objective optimization problem in order to find optimal location of FACTS. Various objectives are considered, namely voltage stability improvement, real power loss minimization and load voltage deviations minimization. Simulations are performed on IEEE 14 test system for optimal location and size of FACTS devices. Analysis of the initial conditions to determine the voltage stability margins and a contingency analysis to determine the critical outages with respect to the voltage stability margin are also examined in order to evaluate their effect on the location analysis. The obtained results show that with the allocation of FACTS devices with the proposed method, the voltage stability is considerably enhanced in both normal state and critical contingencies. The calculation of the load margin demonstrates the effectiveness of the proposed method.
{"title":"Facts allocation for power systems voltage stability enhancement using MOPSO","authors":"A. Laifa, M. Boudour","doi":"10.1109/SSD.2008.4632855","DOIUrl":"https://doi.org/10.1109/SSD.2008.4632855","url":null,"abstract":"Location of the static VAR compensator (SVC) and other types of FACTS devices is important for the enhancement of practical power systems voltage stability. In this paper, a Multi-objective particle swarm optimization (MOPSO) is used to solve a mixed continuous-discrete multi-objective optimization problem in order to find optimal location of FACTS. Various objectives are considered, namely voltage stability improvement, real power loss minimization and load voltage deviations minimization. Simulations are performed on IEEE 14 test system for optimal location and size of FACTS devices. Analysis of the initial conditions to determine the voltage stability margins and a contingency analysis to determine the critical outages with respect to the voltage stability margin are also examined in order to evaluate their effect on the location analysis. The obtained results show that with the allocation of FACTS devices with the proposed method, the voltage stability is considerably enhanced in both normal state and critical contingencies. The calculation of the load margin demonstrates the effectiveness of the proposed method.","PeriodicalId":267264,"journal":{"name":"2008 5th International Multi-Conference on Systems, Signals and Devices","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115709518","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 : 2008-07-20DOI: 10.1109/SSD.2008.4632858
A. Al-Haj
Efficient multimedia communications rely on real-time implementations of multirate filter banks. In this paper, we describe a field programmable gate array (FPGA) implementation of the analysis and synthesis filter banks which are the fundamental components of multirate systems. The implementation utilizes parallel distributed arithmetic which enables maximum exploitation of the parallelism inherent in the multirate filtering operation. Performance results suggest that the FPGA platform is indeed attractive for implementing multirate filter banks.
{"title":"An efficient configurable hardware implementation of fundamental multirate filter banks","authors":"A. Al-Haj","doi":"10.1109/SSD.2008.4632858","DOIUrl":"https://doi.org/10.1109/SSD.2008.4632858","url":null,"abstract":"Efficient multimedia communications rely on real-time implementations of multirate filter banks. In this paper, we describe a field programmable gate array (FPGA) implementation of the analysis and synthesis filter banks which are the fundamental components of multirate systems. The implementation utilizes parallel distributed arithmetic which enables maximum exploitation of the parallelism inherent in the multirate filtering operation. Performance results suggest that the FPGA platform is indeed attractive for implementing multirate filter banks.","PeriodicalId":267264,"journal":{"name":"2008 5th International Multi-Conference on Systems, Signals and Devices","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129665460","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 : 2008-07-20DOI: 10.1109/SSD.2008.4632893
O. Ahmed, R. Qahwaji, T. Colak, T. Dudok de Wit, S. Ipson
In this paper, a new method is applied to calculate the magnetic energies of active regions and sunspots in satellites images. Digital images from the Solar & Heliospheric Observatory (SOHO) satellite are used in this study. The magnetic energies are calculated using the Ising model, which has been modified for our application. The new algorithm is integrated with our existing ASAP system (Automate Solar Activity Prediction). Extensive testing was carried out and the promising results are obtained that will aid in enhancing the accuracy of our automated real-time solar prediction system are presented.
{"title":"A new method for processing solar images to calculate the magnetic energies associated with active regions","authors":"O. Ahmed, R. Qahwaji, T. Colak, T. Dudok de Wit, S. Ipson","doi":"10.1109/SSD.2008.4632893","DOIUrl":"https://doi.org/10.1109/SSD.2008.4632893","url":null,"abstract":"In this paper, a new method is applied to calculate the magnetic energies of active regions and sunspots in satellites images. Digital images from the Solar & Heliospheric Observatory (SOHO) satellite are used in this study. The magnetic energies are calculated using the Ising model, which has been modified for our application. The new algorithm is integrated with our existing ASAP system (Automate Solar Activity Prediction). Extensive testing was carried out and the promising results are obtained that will aid in enhancing the accuracy of our automated real-time solar prediction system are presented.","PeriodicalId":267264,"journal":{"name":"2008 5th International Multi-Conference on Systems, Signals and Devices","volume":"115 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117083277","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 : 2008-07-20DOI: 10.1109/SSD.2008.4632862
O. H. Salim
This paper proposes a sub-channel partitioning based on adaptive allocation of Variable Length Codes (VLCs) with Unequal Error Protection (UEP) scheme for Orthogonal Frequency Division Multiplexing (OFDM) system. In this scheme, video data is partitioned into high-priority (HP) and low-priority (LP) coefficients according to the importance of the data, then it is allocated to sub-channels for transmission over OFDM system. A proposed technique is applied by interleaving the Resynchronization Markers between VLCs to isolate the propagation of error over video stream and completed by another technique to improve the performance of the video decoder decision at lower values of Signal to Interference Noise Ratio (SINR).
{"title":"Adaptive allocation of variable length codes for video transmission over OFDM system","authors":"O. H. Salim","doi":"10.1109/SSD.2008.4632862","DOIUrl":"https://doi.org/10.1109/SSD.2008.4632862","url":null,"abstract":"This paper proposes a sub-channel partitioning based on adaptive allocation of Variable Length Codes (VLCs) with Unequal Error Protection (UEP) scheme for Orthogonal Frequency Division Multiplexing (OFDM) system. In this scheme, video data is partitioned into high-priority (HP) and low-priority (LP) coefficients according to the importance of the data, then it is allocated to sub-channels for transmission over OFDM system. A proposed technique is applied by interleaving the Resynchronization Markers between VLCs to isolate the propagation of error over video stream and completed by another technique to improve the performance of the video decoder decision at lower values of Signal to Interference Noise Ratio (SINR).","PeriodicalId":267264,"journal":{"name":"2008 5th International Multi-Conference on Systems, Signals and Devices","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126638791","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 : 2008-07-20DOI: 10.1109/SSD.2008.4632873
Messaoud Bengherab, L. Mezai, F. Harizi, Mohamed. Cherie, A. Guessoum
In this paper, we introduce 2DPCA, DiaPCA and DiaPCA+2DPCA in DCT domain for the aim of face recognition. The 2D DCT transform has been used as a preprocessing step, then 2DPCA, DiaPCA and DiaPCA+2DPCA are applied to a wtimesw upper left block of the global 2D DCT transform matrix of the original images. The experiments which are performed on the ORL face database show that: in addition to the expected considerable gain in both the training and testing time, the recognition rate is higher using 2DPCA, DiaPCA and DiaPCA+2DPCA in DCT domain than applying these three methods directly on the raw pixel images.
{"title":"Face recognition based on 2DPCA, DIAPCA and DIA2DPCA in DCT domain","authors":"Messaoud Bengherab, L. Mezai, F. Harizi, Mohamed. Cherie, A. Guessoum","doi":"10.1109/SSD.2008.4632873","DOIUrl":"https://doi.org/10.1109/SSD.2008.4632873","url":null,"abstract":"In this paper, we introduce 2DPCA, DiaPCA and DiaPCA+2DPCA in DCT domain for the aim of face recognition. The 2D DCT transform has been used as a preprocessing step, then 2DPCA, DiaPCA and DiaPCA+2DPCA are applied to a wtimesw upper left block of the global 2D DCT transform matrix of the original images. The experiments which are performed on the ORL face database show that: in addition to the expected considerable gain in both the training and testing time, the recognition rate is higher using 2DPCA, DiaPCA and DiaPCA+2DPCA in DCT domain than applying these three methods directly on the raw pixel images.","PeriodicalId":267264,"journal":{"name":"2008 5th International Multi-Conference on Systems, Signals and Devices","volume":"34 7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131769121","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 : 2008-07-20DOI: 10.1109/SSD.2008.4632880
M. Askari, A. Davaie‐Markazi
This paper focuses on the benchmark control problem for seismically excited nonlinear buildings and reports the application of a semi-active control scheme to the 20-story benchmark building using magnetorheological (MR) damping technology. As the fuzzy logic control systems have been applied effectively in various fields, a multi-objective optimal fuzzy logic control system has been proposed in this paper to manage the required voltage of MR dampers. Nondimensionalized peak floor acceleration index from building response category, and ductility index from building damage category, have been considered as the two objective functions to be minimized. All the rule-bases, MFs and scaling factors are tuned well through a recursive optimization algorithm using a Pareto optimal solution, namely NSGAII. The optimization procedure has been done by consideration of 10 various earthquakes in order to provide a more robust controller. The proposed semi active intelligent control scheme satisfies the control constraints and is tabulated according to the evaluation criteria provided by the benchmark problems for comparison with other schemes. Finally, performance of the proposed control system has been found to be better than the other schemes.
{"title":"Multi-objective optimal fuzzy logic controller for nonlinear building-MR damper system","authors":"M. Askari, A. Davaie‐Markazi","doi":"10.1109/SSD.2008.4632880","DOIUrl":"https://doi.org/10.1109/SSD.2008.4632880","url":null,"abstract":"This paper focuses on the benchmark control problem for seismically excited nonlinear buildings and reports the application of a semi-active control scheme to the 20-story benchmark building using magnetorheological (MR) damping technology. As the fuzzy logic control systems have been applied effectively in various fields, a multi-objective optimal fuzzy logic control system has been proposed in this paper to manage the required voltage of MR dampers. Nondimensionalized peak floor acceleration index from building response category, and ductility index from building damage category, have been considered as the two objective functions to be minimized. All the rule-bases, MFs and scaling factors are tuned well through a recursive optimization algorithm using a Pareto optimal solution, namely NSGAII. The optimization procedure has been done by consideration of 10 various earthquakes in order to provide a more robust controller. The proposed semi active intelligent control scheme satisfies the control constraints and is tabulated according to the evaluation criteria provided by the benchmark problems for comparison with other schemes. Finally, performance of the proposed control system has been found to be better than the other schemes.","PeriodicalId":267264,"journal":{"name":"2008 5th International Multi-Conference on Systems, Signals and Devices","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133960483","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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