Pub Date : 2009-12-18DOI: 10.1109/ISIEA.2009.5356472
A. Yahya, O. Sidek, M. M. M. Salleh, F. Ghani
This paper proposes a new technique for constructing the Quasi-Cyclic low density parity check (QC-LDPC) codes based on row division method. The new codes offer more flexibility in term of girth, code rates and codeword length. In this method of code construction, the rows are used to form as the distance graph. Then they are transformed to a parity-check matrix in order to acquire the desired girth. The new QC-LDPC codes show good bit-error rate performance as compared to the renowned Mackay codes for given values of Eb/No by 0.12 dB at BER of10-7 .
{"title":"A new Quasi-Cyclic low density parity check codes","authors":"A. Yahya, O. Sidek, M. M. M. Salleh, F. Ghani","doi":"10.1109/ISIEA.2009.5356472","DOIUrl":"https://doi.org/10.1109/ISIEA.2009.5356472","url":null,"abstract":"This paper proposes a new technique for constructing the Quasi-Cyclic low density parity check (QC-LDPC) codes based on row division method. The new codes offer more flexibility in term of girth, code rates and codeword length. In this method of code construction, the rows are used to form as the distance graph. Then they are transformed to a parity-check matrix in order to acquire the desired girth. The new QC-LDPC codes show good bit-error rate performance as compared to the renowned Mackay codes for given values of Eb/No by 0.12 dB at BER of10-7 .","PeriodicalId":6447,"journal":{"name":"2009 IEEE Symposium on Industrial Electronics & Applications","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2009-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73540842","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 : 2009-12-18DOI: 10.1109/ISIEA.2009.5356354
S. Mohamady, A. Montazeri, Raja Mohd Kamil Raja Ahmad
In this paper the effect of periodic noise traveling into a rectangular enclosure is simulated using finite element technique using COMSOL Multiphysics software. The acoustic wave which is generated by a point source outside an enclosure propagates through the enclosure wall and excites the flexible panel which is mounted on the enclosure. The behavior of transmission of sound into the cavity is investigated by computing the modal characteristics of the cavity. Base on the model proposed, simulation part is conducted to examine the natural frequency response of system as well as to compute the distortion effect of the structure response and the acoustic pressure observed within the enclosure. The simulation results were compared with previous experimental and analytical works for validation and a good match between them were obtained.
{"title":"Modeling of sound-structure interaction in a rectangular enclosure using finite element method","authors":"S. Mohamady, A. Montazeri, Raja Mohd Kamil Raja Ahmad","doi":"10.1109/ISIEA.2009.5356354","DOIUrl":"https://doi.org/10.1109/ISIEA.2009.5356354","url":null,"abstract":"In this paper the effect of periodic noise traveling into a rectangular enclosure is simulated using finite element technique using COMSOL Multiphysics software. The acoustic wave which is generated by a point source outside an enclosure propagates through the enclosure wall and excites the flexible panel which is mounted on the enclosure. The behavior of transmission of sound into the cavity is investigated by computing the modal characteristics of the cavity. Base on the model proposed, simulation part is conducted to examine the natural frequency response of system as well as to compute the distortion effect of the structure response and the acoustic pressure observed within the enclosure. The simulation results were compared with previous experimental and analytical works for validation and a good match between them were obtained.","PeriodicalId":6447,"journal":{"name":"2009 IEEE Symposium on Industrial Electronics & Applications","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2009-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74820070","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 : 2009-12-18DOI: 10.1109/ISIEA.2009.5356307
V. Turchenko, L. Grandinetti
The development of a parallel batch back propagation training algorithm of a multilayer perceptron and its computational cost model are presented in this paper. The computational cost model of the parallel algorithm is developed using Bulk Synchronous Parallelism approach. The concrete parameters of the computational cost model are obtained. The developed computational cost model is used for theoretical prediction of a parallelization efficiency of the algorithm. The predicted and real parallelization efficiencies are compared for different parallelization scenarios on two parallel high performance computers.
{"title":"Investigation of computational cost model of MLP parallel batch training algorithm","authors":"V. Turchenko, L. Grandinetti","doi":"10.1109/ISIEA.2009.5356307","DOIUrl":"https://doi.org/10.1109/ISIEA.2009.5356307","url":null,"abstract":"The development of a parallel batch back propagation training algorithm of a multilayer perceptron and its computational cost model are presented in this paper. The computational cost model of the parallel algorithm is developed using Bulk Synchronous Parallelism approach. The concrete parameters of the computational cost model are obtained. The developed computational cost model is used for theoretical prediction of a parallelization efficiency of the algorithm. The predicted and real parallelization efficiencies are compared for different parallelization scenarios on two parallel high performance computers.","PeriodicalId":6447,"journal":{"name":"2009 IEEE Symposium on Industrial Electronics & Applications","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2009-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74832310","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 : 2009-12-18DOI: 10.1109/ISIEA.2009.5356361
V. Ganapathy, C. Y. Soh, W. Lui
The Webots commercial mobile robot simulation software and Khepera II miniature mobile robot have always been popular tools in research centers and universities. In this paper, the two items will be utilized as a platform for the investigation of Neural Q-Learning controllers. Webots remains as the primary simulation software where the simulated environment and robot are modeled. To cater for a wide variety of experiments, the simulation developed for the Khepera II is equipped with GUIs and various features. These functions allow the user to configure different environment and robot settings for different experiments. Then, the simulation is validated by comparing the behavior of the simulated and actual robot. As a result, a total of four controllers is proposed and tested on this platform. The designed controllers include both sensor and vision based controllers. These controllers are capable of exhibiting obstacle avoidance or wall following behaviors. In addition, an obstacle avoidance controller which is based on a combination of sensor and visual inputs via a fuzzy logic controller was proposed. Experimental results collected facilitate comparison and discussion of the algorithm and it further reveals that the mobile robot could successfully acquire the desired behavior.
{"title":"Utilization of Webots and Khepera II as a platform for Neural Q-Learning controllers","authors":"V. Ganapathy, C. Y. Soh, W. Lui","doi":"10.1109/ISIEA.2009.5356361","DOIUrl":"https://doi.org/10.1109/ISIEA.2009.5356361","url":null,"abstract":"The Webots commercial mobile robot simulation software and Khepera II miniature mobile robot have always been popular tools in research centers and universities. In this paper, the two items will be utilized as a platform for the investigation of Neural Q-Learning controllers. Webots remains as the primary simulation software where the simulated environment and robot are modeled. To cater for a wide variety of experiments, the simulation developed for the Khepera II is equipped with GUIs and various features. These functions allow the user to configure different environment and robot settings for different experiments. Then, the simulation is validated by comparing the behavior of the simulated and actual robot. As a result, a total of four controllers is proposed and tested on this platform. The designed controllers include both sensor and vision based controllers. These controllers are capable of exhibiting obstacle avoidance or wall following behaviors. In addition, an obstacle avoidance controller which is based on a combination of sensor and visual inputs via a fuzzy logic controller was proposed. Experimental results collected facilitate comparison and discussion of the algorithm and it further reveals that the mobile robot could successfully acquire the desired behavior.","PeriodicalId":6447,"journal":{"name":"2009 IEEE Symposium on Industrial Electronics & Applications","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2009-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78436875","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 : 2009-12-18DOI: 10.1109/ISIEA.2009.5356446
O. Wahyunggoro, N. Saad
Direct Current (DC) servomotors are widely used in robot manipulator applications. Servomotors use feedback controller to control either the speed or the position or both. This paper discusses the modeling and simulation of DC servomotor control built using MATLAB/Simulink, and the analysis of controller performance, namely a Fuzzy Logic parallel Integral Controller (FLIC) in which the I/O scale factors, membership functions, and rules of Fuzzy Logic Controller (FLC) and integrator constant are optimized using Genetic Algorithm (GA) sequentially. The singleton fuzzification is used as a fuzzifier: seven membership functions initially for both input and output of fuzzy logic controller. The center average is used as a defuzzifier. The 32-bit-50-population is used in GA for I/O scales, and 21-bit-30-population is used in GA for membership functions. Two control modes are applied in cascaded to the plant: position control and speed control . Simulation results show that FLIC with GA-optimized is the best performance compared to FLIC, FLC, and FLC with GA.
{"title":"Genetic Algorithm optimization of I/O scales and parameters for FLIC in servomotor control","authors":"O. Wahyunggoro, N. Saad","doi":"10.1109/ISIEA.2009.5356446","DOIUrl":"https://doi.org/10.1109/ISIEA.2009.5356446","url":null,"abstract":"Direct Current (DC) servomotors are widely used in robot manipulator applications. Servomotors use feedback controller to control either the speed or the position or both. This paper discusses the modeling and simulation of DC servomotor control built using MATLAB/Simulink, and the analysis of controller performance, namely a Fuzzy Logic parallel Integral Controller (FLIC) in which the I/O scale factors, membership functions, and rules of Fuzzy Logic Controller (FLC) and integrator constant are optimized using Genetic Algorithm (GA) sequentially. The singleton fuzzification is used as a fuzzifier: seven membership functions initially for both input and output of fuzzy logic controller. The center average is used as a defuzzifier. The 32-bit-50-population is used in GA for I/O scales, and 21-bit-30-population is used in GA for membership functions. Two control modes are applied in cascaded to the plant: position control and speed control . Simulation results show that FLIC with GA-optimized is the best performance compared to FLIC, FLC, and FLC with GA.","PeriodicalId":6447,"journal":{"name":"2009 IEEE Symposium on Industrial Electronics & Applications","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2009-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72636567","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 : 2009-12-18DOI: 10.1109/ISIEA.2009.5356301
Hassan Chizari, Majid Hosseini, Shukor Abd Razak
Multi-Point Relay (MPR) mechanism is a selection algorithm to reduce the number of control packets in ad-hoc network routing protocols. This study presents a new MPR selection method using genetic algorithm (GA) while the MPR sets follow the maximal independent concept. Although original greedy algorithm works well in sparse networks, as MPR selection is an NP-hard problem, the proposed method can improve MPR selection phase in the presence of large number of nodes. The simulation shows that our method obtains up to 35% more independent sets when node density is high and incurs less memory usage, less power-consumption, and less retransmissions due to interferences.
{"title":"MultiPoint Relay selection using GA","authors":"Hassan Chizari, Majid Hosseini, Shukor Abd Razak","doi":"10.1109/ISIEA.2009.5356301","DOIUrl":"https://doi.org/10.1109/ISIEA.2009.5356301","url":null,"abstract":"Multi-Point Relay (MPR) mechanism is a selection algorithm to reduce the number of control packets in ad-hoc network routing protocols. This study presents a new MPR selection method using genetic algorithm (GA) while the MPR sets follow the maximal independent concept. Although original greedy algorithm works well in sparse networks, as MPR selection is an NP-hard problem, the proposed method can improve MPR selection phase in the presence of large number of nodes. The simulation shows that our method obtains up to 35% more independent sets when node density is high and incurs less memory usage, less power-consumption, and less retransmissions due to interferences.","PeriodicalId":6447,"journal":{"name":"2009 IEEE Symposium on Industrial Electronics & Applications","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2009-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85759986","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 : 2009-12-18DOI: 10.1109/ISIEA.2009.5356390
Hammuzamer Irwan Hamzah, A. Abdullah
This paper studied the human ear and human brain as a new idea to analyze sound. The human ear to be exact; the eardrum detects the sound signal and the cochlea filters the frequency signal. Subsequently, the brain is capable to recognize and learn the sound signal. This research mapped the biologically-inspired ability to computational process then developed an abstraction model. From this model it provided a guideline to obtain the capability requirements for the of sound signal analyzer as a new idea for information retrieval. The research aims to generate faster and more detailed results as well as to achieve better accuracy in producing definite sound. Therefore, this research proposed an abstraction model of human ear and human brain to developed biologically-inspired sound signal analyzer (BISSA).
{"title":"A new abstraction model for biologically-inspired sound signal analyzer","authors":"Hammuzamer Irwan Hamzah, A. Abdullah","doi":"10.1109/ISIEA.2009.5356390","DOIUrl":"https://doi.org/10.1109/ISIEA.2009.5356390","url":null,"abstract":"This paper studied the human ear and human brain as a new idea to analyze sound. The human ear to be exact; the eardrum detects the sound signal and the cochlea filters the frequency signal. Subsequently, the brain is capable to recognize and learn the sound signal. This research mapped the biologically-inspired ability to computational process then developed an abstraction model. From this model it provided a guideline to obtain the capability requirements for the of sound signal analyzer as a new idea for information retrieval. The research aims to generate faster and more detailed results as well as to achieve better accuracy in producing definite sound. Therefore, this research proposed an abstraction model of human ear and human brain to developed biologically-inspired sound signal analyzer (BISSA).","PeriodicalId":6447,"journal":{"name":"2009 IEEE Symposium on Industrial Electronics & Applications","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2009-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80885371","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 : 2009-12-18DOI: 10.1109/ISIEA.2009.5356317
Liqin Xue, Zipeng Zhang
A high performance fully differential charge pump with reference voltage circuit was proposed to overcome the inevitable disadvantages in the traditional charge pump circuit, including leakage current, charged/discharge current mismatch and the output ripple. The phase errors and the spurious jump were reduced greatly, and the stability of the output was improved. The characteristics of wide swing range of output and low mismatch rate of currents of the charge pump met the high performance of high speed phase locked loop application requirement.
{"title":"Differential charge pump circuit for high speed PLL application","authors":"Liqin Xue, Zipeng Zhang","doi":"10.1109/ISIEA.2009.5356317","DOIUrl":"https://doi.org/10.1109/ISIEA.2009.5356317","url":null,"abstract":"A high performance fully differential charge pump with reference voltage circuit was proposed to overcome the inevitable disadvantages in the traditional charge pump circuit, including leakage current, charged/discharge current mismatch and the output ripple. The phase errors and the spurious jump were reduced greatly, and the stability of the output was improved. The characteristics of wide swing range of output and low mismatch rate of currents of the charge pump met the high performance of high speed phase locked loop application requirement.","PeriodicalId":6447,"journal":{"name":"2009 IEEE Symposium on Industrial Electronics & Applications","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2009-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85460671","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 : 2009-12-18DOI: 10.1109/ISIEA.2009.5356352
E. D. Wandekokem, T. Rauber, F. M. Varejão, R. J. Batista
We present a collection of pattern recognition techniques applied to fault detection and diagnosis of motor pumps. Vibrational patterns are the basis for describing the condition of the process. We rely on the data-driven approach to the learning of the fault classes, i.e. supervised learning in pattern recognition. Our work is motivated by the diversity of the studied defects, the availability of real data from operational oil rigs, and the use of statistical pattern recognition techniques usually not explored sufficiently in similar works. We show the results of automatic methods to define, select and combine features that describe the process and to classify the faults on the provided examples. The support vector machine is chosen as the classification architecture.
{"title":"Automatic feature definition and selection in fault diagnosis of oil rig motor pumps","authors":"E. D. Wandekokem, T. Rauber, F. M. Varejão, R. J. Batista","doi":"10.1109/ISIEA.2009.5356352","DOIUrl":"https://doi.org/10.1109/ISIEA.2009.5356352","url":null,"abstract":"We present a collection of pattern recognition techniques applied to fault detection and diagnosis of motor pumps. Vibrational patterns are the basis for describing the condition of the process. We rely on the data-driven approach to the learning of the fault classes, i.e. supervised learning in pattern recognition. Our work is motivated by the diversity of the studied defects, the availability of real data from operational oil rigs, and the use of statistical pattern recognition techniques usually not explored sufficiently in similar works. We show the results of automatic methods to define, select and combine features that describe the process and to classify the faults on the provided examples. The support vector machine is chosen as the classification architecture.","PeriodicalId":6447,"journal":{"name":"2009 IEEE Symposium on Industrial Electronics & Applications","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2009-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85517042","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 : 2009-12-18DOI: 10.1109/ISIEA.2009.5356492
Yan Xu
Ultrasound image segmentation is challenging due to the interference from speckle noise and fuzziness of boundaries. In this paper, we propose a segmentation scheme using fuzzy c-means (FCM) clustering incorporating spatial information based on image decomposition. First, an ultrasound image is decomposed into a sum of two functions, u+v, where u denotes the image intensity while v refers to the texture. And then, a spatial FCM clustering method is applied on the image intensity component for segmentation. In the experiments with simulated and clinical ultrasound images, the proposed method can get more accurate results than other preprocessing or segmentation methods.
{"title":"Image decomposition based ultrasound image segmentation by using fuzzy clustering","authors":"Yan Xu","doi":"10.1109/ISIEA.2009.5356492","DOIUrl":"https://doi.org/10.1109/ISIEA.2009.5356492","url":null,"abstract":"Ultrasound image segmentation is challenging due to the interference from speckle noise and fuzziness of boundaries. In this paper, we propose a segmentation scheme using fuzzy c-means (FCM) clustering incorporating spatial information based on image decomposition. First, an ultrasound image is decomposed into a sum of two functions, u+v, where u denotes the image intensity while v refers to the texture. And then, a spatial FCM clustering method is applied on the image intensity component for segmentation. In the experiments with simulated and clinical ultrasound images, the proposed method can get more accurate results than other preprocessing or segmentation methods.","PeriodicalId":6447,"journal":{"name":"2009 IEEE Symposium on Industrial Electronics & Applications","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2009-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77836103","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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