{"title":"FACTS placement multiobjective optimization for reactive power system compensation","authors":"M. Belazzoug, M. Boudour","doi":"10.1109/SSD.2010.5585557","DOIUrl":"https://doi.org/10.1109/SSD.2010.5585557","url":null,"abstract":"One of the problems responsible of power generation and transmission is the maintaining of an appropriate voltage profile by installation of reactive power supplies. In this paper, we propose a new technique for the optimal location and design of two kinds of Flexible AC Transmission System Devices (FACTS) namely: Satitic Var Compensator (SVC) and Thyristor Controlled Series Compensator (TCSC) handling the minimization of transmission losses in electrical network. Using the proposed scheme, the type, the location and the rating of FACTS devices are optimized simultaneously. The problem to solve is multi criteria under constraints related to the load flow equations, the voltages, the transformer turn ratios, the active and reactive productions and the compensation devices. Its resolution requires the employ of the advanced algorithms. Thus, we propose an approach based on the evolutionary algorithms (EA) to solve this problem multi criterion. It is about the NSGA-II method (Ellitist Non Dominated Sorting Genetic Algorithm). The Pareto front is obtained for continuous, discrete and multiple of five MVArs of compensator devices for the IEEE 57-bus test system.","PeriodicalId":432382,"journal":{"name":"2010 7th International Multi- Conference on Systems, Signals and Devices","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128676342","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":"Performance enhancement of wireless communication systems using transmit and receive diversity","authors":"Ahmed J. Jameel","doi":"10.4156/IJACT.VOL2.ISSUE3.17","DOIUrl":"https://doi.org/10.4156/IJACT.VOL2.ISSUE3.17","url":null,"abstract":"In this paper, we describe the concatenation of Turbo/Convolutional codes with transmit and receive diversity schemes by using Space-Time Block Code. It is shown that, by using two transmit antennas and one/or two receive antenna, large coding gain for the bit error rate is achieved over the system without diversity. Simulation results show that, by using systems with transmit and receive diversity, high gain can be achieved with very low complexity. It turns out that at BER = 10−4, the gain of 9 dB can be achieved for system using STTD transmit diversity only (without using any channel codes) and 2 dB gain can be achieved over channel coding systems using hard-decision decoding with much lower complexity. The most important conclusion is that, using soft-decision decoding systems enhanced with transmit diversity can provide very high coding gain; e.g., in convolutional coded system using soft-decision Viterbi decoder, the coding gain is 12 dB over uncoded system and 5 dB over hard-decision decoding in flat fading channel, while the coding gain is about 13 dB for turbo coded systems using soft-decision decoding based on SOVA algorithm with transmit diversity and the coding gain is 15 dB if the decoder is based on Log-MAP algorithm. In systems using transmit and receive diversity, the coding gain is much higher, e.g., for convolutional-coded systems, the coding gain is 20 dB, while for turbo-coded systems using SOVA and Log-MAP algorithms, the coding gain are a little more than 20 dB and 21 dB, respectively.","PeriodicalId":432382,"journal":{"name":"2010 7th International Multi- Conference on Systems, Signals and Devices","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125449221","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":"Finite Element Method analysis of three phase transformer core accounting for anisotropy and air gaps","authors":"M. Khelil, M. Elleuch","doi":"10.1109/SSD.2010.5585583","DOIUrl":"https://doi.org/10.1109/SSD.2010.5585583","url":null,"abstract":"In this paper, a new transformer model taking into account magnetic intrinsic anisotropy and air gaps core joints has been proposed. Two special elements have been introduced into the model which are simple to implement in software based on Finite Element Method FEM. Each transversal element (T-element) for air gaps model and each longitudinal element (L-element) for anisotropy is characterized by new B-H relationship. This study has analyzed the influence of these parameters on 2D flux distribution in grain-oriented silicon steel of three-phase transformer core. Based on previous model, an equivalent variable air-gap has been used as T-element and has been implemented on programs using FEM. The proposed model allows localized analysis by extending their capabilities to consider the anisotropy. To develop the nonlinear anisotropic permeability modeling, only the B-H curves in the principal directions (Rolling Direction RD and Transverse Direction TD), available directly from the manufacturers, are required. The results obtained are validated qualitatively by comparison to works using complex anisotropy models and quantitatively by the reproduction of no-load currents of a 10kVA three limbs three-phase transformer.","PeriodicalId":432382,"journal":{"name":"2010 7th International Multi- Conference on Systems, Signals and Devices","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126219875","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":"Switched split vector quantizer applied for encoding the LPC parameters of the 2.4 Kbits/s MELP speech coder","authors":"M. Bouzid, Salah Eddine Cheraitia, Moussa Hireche","doi":"10.1109/SSD.2010.5585544","DOIUrl":"https://doi.org/10.1109/SSD.2010.5585544","url":null,"abstract":"In this paper, we present an optimized switched split vector quantization (SSVQ) scheme developed for low bit-rate encoding of the LPC parameters represented by the line spectral frequencies (LSF). It will be shown that the SSVQ provides better performance in terms of bit-rate, spectral distortion and computational complexity than the traditional split vector quantizer. We further applied our SSVQ encoding system, called LSF-SSVQ encoder, to quantize the LSF parameters of the 2.4 Kbits/s normalised speech coder MELP operating over an ideal noiseless channel.","PeriodicalId":432382,"journal":{"name":"2010 7th International Multi- Conference on Systems, Signals and Devices","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128435764","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 improved OTSU based watershed segmentation and its implementation on Virtex II pro platform","authors":"Nadia Smaoui Zghal, D. Sellami Masmoudi","doi":"10.1109/SSD.2010.5585580","DOIUrl":"https://doi.org/10.1109/SSD.2010.5585580","url":null,"abstract":"Watershed algorithm as was proposed by Vincent and Soille is an elegant formalism for image segmentation. Watershed conventional algorithm finds out peaks in the gradient image and identifies them as contours. Although this technique has proven its efficiency in some previous works, it suffers from over-segmentation problems, due to the fact that it considers in a similar way lower and higher valued gradients. This paper overcomes watershed over-segmentation problems by introducing a pre processing step based on OTSU thresholding method, in which a pre selection of the higher gradients will keep only real contours in the image. Moreover, an anisotropic diffusion is applied for smoothing the gradient image, getting rid of noisy peaks. The whole design was implemented on a Virtex II pro platform. An optimization of the hardware/Software resources was done based on a co-design methodology. On a V2pro ff672, the design was applied to a 128*128 pixel image, leading to a 116MHz frequency. Performance evaluation was done on some images taken from different classes of the Berkley database.","PeriodicalId":432382,"journal":{"name":"2010 7th International Multi- Conference on Systems, Signals and Devices","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116425555","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 delay decomposition approach for exponential stability of perturbed neutral systems with mixed delays","authors":"Issam Amri, D. Soudani, M. Benrejeb","doi":"10.1109/SSD.2010.5585570","DOIUrl":"https://doi.org/10.1109/SSD.2010.5585570","url":null,"abstract":"This paper deals with the exponential stability analysis problem of neutral systems with mixed time delays and nonlinear perturbations. Using the Lyapunov theory and the free weighing matrices method, a delay decomposition approach is developed by introducing a new quadratic Lyapunov Krasovskii functional, which is constructed by uniformly dividing the delay interval into multiple equal length subintervals. Based on this, a new delay dependent robust exponential stability criterion is derived in terms of Linear Matrix Inequalities (LMIs) technique. Numerical examples are carried out to support the applicability of the proposed approach and to demonstrate the effectiveness of our results.","PeriodicalId":432382,"journal":{"name":"2010 7th International Multi- Conference on Systems, Signals and Devices","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116964081","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 Neural Network based algorithm for assessing risk priority of medical equipments","authors":"F. Al-Naima, Ali H. Ali Al-Timemy","doi":"10.1109/SSD.2010.5585528","DOIUrl":"https://doi.org/10.1109/SSD.2010.5585528","url":null,"abstract":"This paper presents a robust algorithm for the assessment of risk priority for medical equipments based on the calculation of static and dynamic risk factors and Neural Networks (NNs). Four risk parameters have been calculated for a total of 345 different medical devices in two general hospitals in Baghdad. Static risk factor components (equipment function and physical risk) and dynamics risk components (maintenance requirements and risk points) were determined for the medical equipments under consideration. These risk components were used as an input to the feed forward NN trained with Back Propagation algorithm (BPNN). The accuracy of the network was found to be equal to 96% for the proposed system. Hence, this algorithm could serve as promising tool for risk factor assessment for the service departments in large hospitals in Iraq.","PeriodicalId":432382,"journal":{"name":"2010 7th International Multi- Conference on Systems, Signals and Devices","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127369885","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":"Adaptive tracking control of a mobile manipulator","authors":"Amal Karray, M. Feki","doi":"10.1109/SSD.2010.5585594","DOIUrl":"https://doi.org/10.1109/SSD.2010.5585594","url":null,"abstract":"In this paper, we propose a computed torque controller for a dynamic model of nonholonomic mobile manipulator with bounded external disturbances in order to treat the adaptive tracking control. Firstly, a velocity controller is designed for the kinematic steering system. Secondly, a computed torque controller is designed such that the mobile manipulator velocity converges to the desired velocity controller deduced from the first step. In particular, the mobile manipulator can globally follow any path such as a straight line or a circle. Simulation results are given to demonstrate the effectiveness of the proposed controller.","PeriodicalId":432382,"journal":{"name":"2010 7th International Multi- Conference on Systems, Signals and Devices","volume":"352 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124449679","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}
A. Challouf, N. Abdelkrim, A. Tellili, M. Abdelkrim, C. Aubrun
{"title":"AN adaptive fault tolerante control in interconnected systems","authors":"A. Challouf, N. Abdelkrim, A. Tellili, M. Abdelkrim, C. Aubrun","doi":"10.1109/SSD.2010.5585529","DOIUrl":"https://doi.org/10.1109/SSD.2010.5585529","url":null,"abstract":"This work aims at the adaptive fault tolerant control using output feedback. Fault tolerant adaptive control is developed for N-interconnected subsystems with unknown sensors failures. Such sensors failures are characterized by some unknown inputs stuck at some unknown fixed values at unknown time instants. An effective output feedback controller structure is proposed for sensors failures compensation. The FTC scheme has an additive control in the adaptive controller which has an intrinsic robustness in terms of the stability and performance of the estimation sensors failure. This work is an extension of the additive control method presented in [8] to the interconnected subsystems. Numerical and simulation results are provided to demonstrate the effectiveness of the proposed controller.","PeriodicalId":432382,"journal":{"name":"2010 7th International Multi- Conference on Systems, Signals and Devices","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123488757","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 rule-based system for trajectory planning of an indoor mobile robot","authors":"Siba M. Sharef, W. K. Sa'id, F. Khoshaba","doi":"10.1109/SSD.2010.5585504","DOIUrl":"https://doi.org/10.1109/SSD.2010.5585504","url":null,"abstract":"In this paper, a software simulation model is developed for a two wheels driven mobile robot motion controller that can navigate the robot safely through an unknown environment. The work involves the design of a controller, which has four functions: motion control; obstacle avoidance; self-location; and path planning both global and local. The proposed controller is responsible for the mobile robot navigation after it generates a trajectory between start and goal points. Also it enables the robot to operate successfully in the presence of various obstacles present in any user built maps. The mobile robot is able to locate its position on any given map. The dynamic of the mobile robot is examined and the time constant of the two motors, which affects the direction of the mobile robot motion, is controlled. Obstacle avoidance is implemented with Fuzzy Logic Controller. The numerical experiments demonstrated that the indoor robot navigated successfully in tight corridors, avoided obstacles and dealt with a variety of world maps with various irregular wall shapes that were presented to it.","PeriodicalId":432382,"journal":{"name":"2010 7th International Multi- Conference on Systems, Signals and Devices","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126421567","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}