Pub Date : 2010-07-05DOI: 10.1109/ICSPS.2010.5555560
G. Yan, W. Liu, L. Rai
This paper presents a generalized matrix-based algorithm for generating routing schemes in an acyclic unidirectional network. The fundamental approach is to generate all possible paths from a source location to destination represented in a 2-dimensional matrix applying the proposed blanking patterns (BP) algorithm. It was found that, blanking patterns algorithm effectively provides the list of all routes in any unidirectional acyclic network by identifying definite patterns of combinations of rows and columns. With this approach, students, professionals, scientists and engineers easily implement programs for finding shortest, longest paths or to implement programs related critical path finding in project networks without understanding complex data structures or algorithms.
{"title":"A generalized matrix based algorithm for routing in acyclic unidirectional networks","authors":"G. Yan, W. Liu, L. Rai","doi":"10.1109/ICSPS.2010.5555560","DOIUrl":"https://doi.org/10.1109/ICSPS.2010.5555560","url":null,"abstract":"This paper presents a generalized matrix-based algorithm for generating routing schemes in an acyclic unidirectional network. The fundamental approach is to generate all possible paths from a source location to destination represented in a 2-dimensional matrix applying the proposed blanking patterns (BP) algorithm. It was found that, blanking patterns algorithm effectively provides the list of all routes in any unidirectional acyclic network by identifying definite patterns of combinations of rows and columns. With this approach, students, professionals, scientists and engineers easily implement programs for finding shortest, longest paths or to implement programs related critical path finding in project networks without understanding complex data structures or algorithms.","PeriodicalId":234084,"journal":{"name":"2010 2nd International Conference on Signal Processing Systems","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116455172","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 : 2010-07-05DOI: 10.1109/ICSPS.2010.5555274
Libo Hou
This paper presents a framework for internet realname system development that introduces a new phase in the usual procedure: Active Real-name System and Automatic Security Surveillance. The main goal of this paper is to bridge the gap between the real-name requirement analysis and the internet crime implementation through the generation of a model of the security system architecture plus the security policies associated with the components of the model that have to enforce them. For this purpose, the design phase is composed of two complementary steps: an architectural model and a set of design-level security policies. The main advantages and desired characteristics of these models are analyzed; they are related to existing work in the area; and future research directions are pointed.
{"title":"Design of network action surveillance system based on internet real-name system","authors":"Libo Hou","doi":"10.1109/ICSPS.2010.5555274","DOIUrl":"https://doi.org/10.1109/ICSPS.2010.5555274","url":null,"abstract":"This paper presents a framework for internet realname system development that introduces a new phase in the usual procedure: Active Real-name System and Automatic Security Surveillance. The main goal of this paper is to bridge the gap between the real-name requirement analysis and the internet crime implementation through the generation of a model of the security system architecture plus the security policies associated with the components of the model that have to enforce them. For this purpose, the design phase is composed of two complementary steps: an architectural model and a set of design-level security policies. The main advantages and desired characteristics of these models are analyzed; they are related to existing work in the area; and future research directions are pointed.","PeriodicalId":234084,"journal":{"name":"2010 2nd International Conference on Signal Processing Systems","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116533748","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 : 2010-07-05DOI: 10.1109/ICSPS.2010.5555506
Md. Riyasat Azim, Md. Shahedul Amin, S. Haque, M. N. Ambia, Md. A. Shoeb
Electroencephalogram (EEG) is a complex signal resulting from postsynaptic potentials of cortical pyramidal cells and an important brain state indicator with specific state dependent features. Modern brain research is intimately linked to the feasibility to record the EEG and to its quantitative analysis. EEG spectral analysis is an important method to investigate the hidden properties and hence the brain activities. Spectral analysis of sleep EEG signal provides acute insight into the features of different stages of sleep which can be utilized to differentiate between normal and pathological conditions. This paper describes the process of extracting features of human sleep EEG signals through the use of multi resolution Discrete Wavelet Transform and Fast Fourier Transform. Discrete Wavelet Transform offers representations of the signals in the time-frequency plane giving information regarding the time localization of the spectral components at different stages of sleep in human beings and Fast Fourier Transform provides the spectral information. This paper also discusses the clinical correlation associated with sleep EEG signals in brief.
{"title":"Feature extraction of human sleep EEG signals using wavelet transform and Fourier transform","authors":"Md. Riyasat Azim, Md. Shahedul Amin, S. Haque, M. N. Ambia, Md. A. Shoeb","doi":"10.1109/ICSPS.2010.5555506","DOIUrl":"https://doi.org/10.1109/ICSPS.2010.5555506","url":null,"abstract":"Electroencephalogram (EEG) is a complex signal resulting from postsynaptic potentials of cortical pyramidal cells and an important brain state indicator with specific state dependent features. Modern brain research is intimately linked to the feasibility to record the EEG and to its quantitative analysis. EEG spectral analysis is an important method to investigate the hidden properties and hence the brain activities. Spectral analysis of sleep EEG signal provides acute insight into the features of different stages of sleep which can be utilized to differentiate between normal and pathological conditions. This paper describes the process of extracting features of human sleep EEG signals through the use of multi resolution Discrete Wavelet Transform and Fast Fourier Transform. Discrete Wavelet Transform offers representations of the signals in the time-frequency plane giving information regarding the time localization of the spectral components at different stages of sleep in human beings and Fast Fourier Transform provides the spectral information. This paper also discusses the clinical correlation associated with sleep EEG signals in brief.","PeriodicalId":234084,"journal":{"name":"2010 2nd International Conference on Signal Processing Systems","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122414854","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 : 2010-07-05DOI: 10.1109/ICSPS.2010.5555576
Zhang Yu-zhi
For the pumped storage machines started by static frequency converter (SFC), the mathematical model of multicircuits is established considering actual arrangement of the damper bars based on the multi-circuits theory of the electrical machines. Then the mathematical simulation of static frequency converter starting is carried out by MATLAB, and the transient currents and losses of the damper bars are calculated. Finally, a sample machine is given as the example. The result indicates that the stronger the saturation is, the larger the influence on the field current is, but the influence on the torque is very small.
{"title":"Calculation of starting currents and losses for damper bars of pumped storage machines by SFC","authors":"Zhang Yu-zhi","doi":"10.1109/ICSPS.2010.5555576","DOIUrl":"https://doi.org/10.1109/ICSPS.2010.5555576","url":null,"abstract":"For the pumped storage machines started by static frequency converter (SFC), the mathematical model of multicircuits is established considering actual arrangement of the damper bars based on the multi-circuits theory of the electrical machines. Then the mathematical simulation of static frequency converter starting is carried out by MATLAB, and the transient currents and losses of the damper bars are calculated. Finally, a sample machine is given as the example. The result indicates that the stronger the saturation is, the larger the influence on the field current is, but the influence on the torque is very small.","PeriodicalId":234084,"journal":{"name":"2010 2nd International Conference on Signal Processing Systems","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121879610","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 : 2010-07-05DOI: 10.1109/ICSPS.2010.5555258
De-Sheng Chen, Kui-Shun Chou, Yiwen Wang
The sparse nature of a network echo response makes standard NLMS based adaptive algorithms perform poorly. Fast convergence, yet low complexity, of adaptive filter design causes another challenge. In this paper, a new Stochastic Selective Partial Update Normalized Least Mean Square (SSPNLMS) algorithm is proposed. Based on an efficient stochastic search and two block-based tap selection criteria, this algorithm exploits both sparseness of the echo response and sparseness of the input signal to achieve high quality adaptive filters without much computational cost. Simulation results show our proposed algorithm has promising convergence performance for the cases of white Gaussian noise input signal and the speech signals.
{"title":"A new block-based stochastic adaptive algorithm for sparse echo cancellation","authors":"De-Sheng Chen, Kui-Shun Chou, Yiwen Wang","doi":"10.1109/ICSPS.2010.5555258","DOIUrl":"https://doi.org/10.1109/ICSPS.2010.5555258","url":null,"abstract":"The sparse nature of a network echo response makes standard NLMS based adaptive algorithms perform poorly. Fast convergence, yet low complexity, of adaptive filter design causes another challenge. In this paper, a new Stochastic Selective Partial Update Normalized Least Mean Square (SSPNLMS) algorithm is proposed. Based on an efficient stochastic search and two block-based tap selection criteria, this algorithm exploits both sparseness of the echo response and sparseness of the input signal to achieve high quality adaptive filters without much computational cost. Simulation results show our proposed algorithm has promising convergence performance for the cases of white Gaussian noise input signal and the speech signals.","PeriodicalId":234084,"journal":{"name":"2010 2nd International Conference on Signal Processing Systems","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128421485","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 : 2010-07-05DOI: 10.1109/ICSPS.2010.5555776
Shiwen Chen, Donghai Li, Xingping Wei
Using the maximum likelihood estimation, the accuracy of frequency estimation can reach Cramer-Rao lower bound(CRLB) for a single complex sinusoid signal, but for the real sinusoid signal, accuracy can not reach CRLB, the reason is that real signal frequency spectrum include negative frequency, in addition, window function cause leakage of negative frequency spectrum, thus affecting the positive frequency part. In this paper, using Kaise window to reduce the effect of the leakage of negative frequency, to improve the estimation accuracy, estimation accuracy can be close to CRLB. And for multiple frequencies estimation, Kaise window can also reduce interaction effect of the frequency spectrum leakage, the computer simulation results show that this method is effective.
{"title":"Accurate frequency estimation of real sinusoid signal","authors":"Shiwen Chen, Donghai Li, Xingping Wei","doi":"10.1109/ICSPS.2010.5555776","DOIUrl":"https://doi.org/10.1109/ICSPS.2010.5555776","url":null,"abstract":"Using the maximum likelihood estimation, the accuracy of frequency estimation can reach Cramer-Rao lower bound(CRLB) for a single complex sinusoid signal, but for the real sinusoid signal, accuracy can not reach CRLB, the reason is that real signal frequency spectrum include negative frequency, in addition, window function cause leakage of negative frequency spectrum, thus affecting the positive frequency part. In this paper, using Kaise window to reduce the effect of the leakage of negative frequency, to improve the estimation accuracy, estimation accuracy can be close to CRLB. And for multiple frequencies estimation, Kaise window can also reduce interaction effect of the frequency spectrum leakage, the computer simulation results show that this method is effective.","PeriodicalId":234084,"journal":{"name":"2010 2nd International Conference on Signal Processing Systems","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128703074","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 : 2010-07-05DOI: 10.1109/ICSPS.2010.5555617
Long Zhang, X. He
An effective statistical method of detecting the scatterers center for super-resolution ISAR imaging is presented. By exploiting the statistics of background noise and clutters, Gaussianity test(GT) is applied to extract the scatterers center in range cells under desired constant false alarm rate(CFAR). Combined with extended Relax algorithm, super resolution ISAR image of target is generated. Theoretical analysis and experimental results of real data show that proposed method exhibit better performance with expected to conventional high resolution method.
{"title":"Stistical relax method for super resolution ISAR imaging","authors":"Long Zhang, X. He","doi":"10.1109/ICSPS.2010.5555617","DOIUrl":"https://doi.org/10.1109/ICSPS.2010.5555617","url":null,"abstract":"An effective statistical method of detecting the scatterers center for super-resolution ISAR imaging is presented. By exploiting the statistics of background noise and clutters, Gaussianity test(GT) is applied to extract the scatterers center in range cells under desired constant false alarm rate(CFAR). Combined with extended Relax algorithm, super resolution ISAR image of target is generated. Theoretical analysis and experimental results of real data show that proposed method exhibit better performance with expected to conventional high resolution method.","PeriodicalId":234084,"journal":{"name":"2010 2nd International Conference on Signal Processing Systems","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124546262","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 : 2010-07-05DOI: 10.1109/ICSPS.2010.5555278
Xu Qian, L. Hong
An estimation algorithm for three-dimensional frequency, DOA and range of near-field sources was proposed, which used second-order statistics (SOS) matrix to estimate frequency and DOA of each source. Then the range estimation was performed with the estimated DOA through finite one-dimensional searching. This algorithm improves the precision of range estimation compared to the SOS method. Finally, the effectiveness of the proposed algorithm was verified by computer simulation.
{"title":"A novel near-field source localization algorithm","authors":"Xu Qian, L. Hong","doi":"10.1109/ICSPS.2010.5555278","DOIUrl":"https://doi.org/10.1109/ICSPS.2010.5555278","url":null,"abstract":"An estimation algorithm for three-dimensional frequency, DOA and range of near-field sources was proposed, which used second-order statistics (SOS) matrix to estimate frequency and DOA of each source. Then the range estimation was performed with the estimated DOA through finite one-dimensional searching. This algorithm improves the precision of range estimation compared to the SOS method. Finally, the effectiveness of the proposed algorithm was verified by computer simulation.","PeriodicalId":234084,"journal":{"name":"2010 2nd International Conference on Signal Processing Systems","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130489787","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 : 2010-07-05DOI: 10.1109/ICSPS.2010.5555732
Chaocheng Xie, Lei Li, Haixu Wang, Jiao He
This paper proposes Hybrid Fuzzy Hidden Markov Models (FHMM) for face recognition. This recognition system includes fuzzy integral theory and Hidden Markov Model. Applying fuzzy expectation-maximization (FEM) algorithm in the Hidden Markov Model (HMM) is to estimate the relative parameters of faces which are close to real values in a better condition. Besides, in order to precisely obtain the probability density function of observations vector, taking full use of Gaussian Mixture Models (GMM), in which the weights are designed by using the fuzzy c-means (FCM) function. Comparing to conventional HMM, the proposed method achieves a better result.
{"title":"Face recognition based Hybrid Fuzzy Hidden Markov Models","authors":"Chaocheng Xie, Lei Li, Haixu Wang, Jiao He","doi":"10.1109/ICSPS.2010.5555732","DOIUrl":"https://doi.org/10.1109/ICSPS.2010.5555732","url":null,"abstract":"This paper proposes Hybrid Fuzzy Hidden Markov Models (FHMM) for face recognition. This recognition system includes fuzzy integral theory and Hidden Markov Model. Applying fuzzy expectation-maximization (FEM) algorithm in the Hidden Markov Model (HMM) is to estimate the relative parameters of faces which are close to real values in a better condition. Besides, in order to precisely obtain the probability density function of observations vector, taking full use of Gaussian Mixture Models (GMM), in which the weights are designed by using the fuzzy c-means (FCM) function. Comparing to conventional HMM, the proposed method achieves a better result.","PeriodicalId":234084,"journal":{"name":"2010 2nd International Conference on Signal Processing Systems","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129295356","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 : 2010-07-05DOI: 10.1109/ICSPS.2010.5555721
Enrang Zheng, Zelin Song, Lingkun Ma
In analysis of power system harmonic, analog-to-digital converter (ADC) circuit is one of the main links which affect detection performance of system. NiosII-based harmonic analysis system has features of good logic control ability, high real-time of signal processing, strong anti-interference ability, etc. Hardware design of sampling circuit is realized with the platform of Altera's DE2 board. Quartus II used in the Verilog HDL language to complete the interface with the FPGA design, and eventually VGA display.
{"title":"Data acquisition and VGA display controller based on NiosII","authors":"Enrang Zheng, Zelin Song, Lingkun Ma","doi":"10.1109/ICSPS.2010.5555721","DOIUrl":"https://doi.org/10.1109/ICSPS.2010.5555721","url":null,"abstract":"In analysis of power system harmonic, analog-to-digital converter (ADC) circuit is one of the main links which affect detection performance of system. NiosII-based harmonic analysis system has features of good logic control ability, high real-time of signal processing, strong anti-interference ability, etc. Hardware design of sampling circuit is realized with the platform of Altera's DE2 board. Quartus II used in the Verilog HDL language to complete the interface with the FPGA design, and eventually VGA display.","PeriodicalId":234084,"journal":{"name":"2010 2nd International Conference on Signal Processing Systems","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130620871","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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