Pub Date : 2013-10-01DOI: 10.1109/ICAT.2013.6684078
Ž. Jurić, H. Šiljak
This paper presents an alternative to existing techniques based on Nodal Analysis designed specifically to suit implementation in matrix-oriented programming languages, keeping the simplicity of original Nodal Analysis and bringing improvements to make virtually all circuit topologies solvable through it, dealing with potential singularities, hence the name Singular Nodal Analysis (SNA). Two variants of this novel algorithm are described. Their validity is proven and their applicability is shown through two practical examples.
{"title":"Novel matrix-based improvement of nodal analysis for circuits with singularities","authors":"Ž. Jurić, H. Šiljak","doi":"10.1109/ICAT.2013.6684078","DOIUrl":"https://doi.org/10.1109/ICAT.2013.6684078","url":null,"abstract":"This paper presents an alternative to existing techniques based on Nodal Analysis designed specifically to suit implementation in matrix-oriented programming languages, keeping the simplicity of original Nodal Analysis and bringing improvements to make virtually all circuit topologies solvable through it, dealing with potential singularities, hence the name Singular Nodal Analysis (SNA). Two variants of this novel algorithm are described. Their validity is proven and their applicability is shown through two practical examples.","PeriodicalId":348701,"journal":{"name":"2013 XXIV International Conference on Information, Communication and Automation Technologies (ICAT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130241386","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 : 2013-10-01DOI: 10.1109/ICAT.2013.6684095
I. Varhanikova, M. Hucko, Z. Černeková, Júlia Kucerová
In this paper we present results from a questionnaire focused on searching for the best view on virtual 3D objects. For our research we collected a database of virtual models from different categories and we tried to find out if the best view selected by respondents varies from category to category. We performed a clustering using the von Mises-Fisher mixture model to find out the means of each group of selected views. Further we would like to determine whether we can predict the best view similar to the one chosen by the questionnaire just by categorizing examined object.
{"title":"Study of the best view selection based on a human observer","authors":"I. Varhanikova, M. Hucko, Z. Černeková, Júlia Kucerová","doi":"10.1109/ICAT.2013.6684095","DOIUrl":"https://doi.org/10.1109/ICAT.2013.6684095","url":null,"abstract":"In this paper we present results from a questionnaire focused on searching for the best view on virtual 3D objects. For our research we collected a database of virtual models from different categories and we tried to find out if the best view selected by respondents varies from category to category. We performed a clustering using the von Mises-Fisher mixture model to find out the means of each group of selected views. Further we would like to determine whether we can predict the best view similar to the one chosen by the questionnaire just by categorizing examined object.","PeriodicalId":348701,"journal":{"name":"2013 XXIV International Conference on Information, Communication and Automation Technologies (ICAT)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128842488","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 : 2013-10-01DOI: 10.1109/ICAT.2013.6684055
Z. Shareef, Abrar Ahmed, N. Iqbal
There are always some type of constraints present in the all physical systems and these constraints or saturations produce the windup effect. This paper describes the design and implementation of a new dynamical Anti-Windup Compensator (AWC) scheme to remove the windup effect. In the new anti-windup scheme the state space matrices of the mixed sensitivity controller's parameters are used in the coprime factorization of the AWC to provide the robustness and optimize using the Linear Matrix Inequalities (LMI). The mixed sensitivity controller designed in this technique is based on the direct method, that is easy to design and do not involve complex calculations and algorithms. This new mixed sensitivity based AW scheme can work for other types of linear controllers other than mixed sensitivity controllers. This new scheme is applied to the benchmark plant with linear controllers and the results and compared with the already existing techniques. To prove the validation of this new proposed AW scheme, it is applied to a hot air blower system and practical results are discussed and compared with simulation results. These practical results aims to support the industrial application of the new AWC scheme ensuring stability and performance.
{"title":"Mixed sensitivity based dynamical Anti-Windup Compensator design using LMI: An application to constrained hot air blower system","authors":"Z. Shareef, Abrar Ahmed, N. Iqbal","doi":"10.1109/ICAT.2013.6684055","DOIUrl":"https://doi.org/10.1109/ICAT.2013.6684055","url":null,"abstract":"There are always some type of constraints present in the all physical systems and these constraints or saturations produce the windup effect. This paper describes the design and implementation of a new dynamical Anti-Windup Compensator (AWC) scheme to remove the windup effect. In the new anti-windup scheme the state space matrices of the mixed sensitivity controller's parameters are used in the coprime factorization of the AWC to provide the robustness and optimize using the Linear Matrix Inequalities (LMI). The mixed sensitivity controller designed in this technique is based on the direct method, that is easy to design and do not involve complex calculations and algorithms. This new mixed sensitivity based AW scheme can work for other types of linear controllers other than mixed sensitivity controllers. This new scheme is applied to the benchmark plant with linear controllers and the results and compared with the already existing techniques. To prove the validation of this new proposed AW scheme, it is applied to a hot air blower system and practical results are discussed and compared with simulation results. These practical results aims to support the industrial application of the new AWC scheme ensuring stability and performance.","PeriodicalId":348701,"journal":{"name":"2013 XXIV International Conference on Information, Communication and Automation Technologies (ICAT)","volume":"405 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131844672","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 : 2013-10-01DOI: 10.1109/ICAT.2013.6684060
Rahat Ali, M. Malik, M. Salman
In many real life problems, related to closed loop control systems the reference signal is corrupted by additive noise. The noisy reference signal leads to inferior tracking by the plant. However tracking performance can further improved if noise is removed from the reference signal prior applying to the control system. In this paper, we present a linear quadratic regulator (LQR) based control scheme that incorporates state space recursive least squares (SSRLS) method for cleaning the noisy reference signal. The proposed closed loop structure provides an optimal tracking of a reference signal while minimizing the effect of external disturbance acting on the plant. The prior knowledge about the external disturbance is utilized by the control scheme. Functioning of the proposed algorithm is demonstrated with the help of computer simulations with a practical application of third order system of grid tie converters. The result shows significant improvement in tracking performance as compared to the tracking of a noisy reference signal applied directly to the control system.
{"title":"Linear quadratic tracking for noisy signal with state space recursive least squares noise rejection","authors":"Rahat Ali, M. Malik, M. Salman","doi":"10.1109/ICAT.2013.6684060","DOIUrl":"https://doi.org/10.1109/ICAT.2013.6684060","url":null,"abstract":"In many real life problems, related to closed loop control systems the reference signal is corrupted by additive noise. The noisy reference signal leads to inferior tracking by the plant. However tracking performance can further improved if noise is removed from the reference signal prior applying to the control system. In this paper, we present a linear quadratic regulator (LQR) based control scheme that incorporates state space recursive least squares (SSRLS) method for cleaning the noisy reference signal. The proposed closed loop structure provides an optimal tracking of a reference signal while minimizing the effect of external disturbance acting on the plant. The prior knowledge about the external disturbance is utilized by the control scheme. Functioning of the proposed algorithm is demonstrated with the help of computer simulations with a practical application of third order system of grid tie converters. The result shows significant improvement in tracking performance as compared to the tracking of a noisy reference signal applied directly to the control system.","PeriodicalId":348701,"journal":{"name":"2013 XXIV International Conference on Information, Communication and Automation Technologies (ICAT)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114776077","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 : 2013-10-01DOI: 10.1109/ICAT.2013.6684064
H. Wacker, P. Holub, J. Börcsök
In this paper the authors study a Safety Instrumented System (SIS) subjected to periodically performed diagnostic measures or tests. They focus their interest onto partial tests similar to partial stroke tests, which are well known from testing valves. They then introduce diagnostic parameters in order to quantify manual, automatic and semi-automatic testing mathematically, and they distinguish between two different diagnostic modes: The semi-automatic component-based mode and the semi-automatic-time-based mode. In Chapter V, they investigate the semi-automatic mode by means of two functions depending on their diagnostic parameters: The diagnostic coverage factor and the cost function. They then pose two optimization problems in form of two linear programs. The first one minimizes the cost function under constraints on the diagnostic coverage, and the second one maximizes the diagnostic coverage under constraints on the cost function. The paper closes with the examples of a 1001-system and a 2002-system.
{"title":"Optimization of diagnostics with respect to the diagnostic coverage and the cost function","authors":"H. Wacker, P. Holub, J. Börcsök","doi":"10.1109/ICAT.2013.6684064","DOIUrl":"https://doi.org/10.1109/ICAT.2013.6684064","url":null,"abstract":"In this paper the authors study a Safety Instrumented System (SIS) subjected to periodically performed diagnostic measures or tests. They focus their interest onto partial tests similar to partial stroke tests, which are well known from testing valves. They then introduce diagnostic parameters in order to quantify manual, automatic and semi-automatic testing mathematically, and they distinguish between two different diagnostic modes: The semi-automatic component-based mode and the semi-automatic-time-based mode. In Chapter V, they investigate the semi-automatic mode by means of two functions depending on their diagnostic parameters: The diagnostic coverage factor and the cost function. They then pose two optimization problems in form of two linear programs. The first one minimizes the cost function under constraints on the diagnostic coverage, and the second one maximizes the diagnostic coverage under constraints on the cost function. The paper closes with the examples of a 1001-system and a 2002-system.","PeriodicalId":348701,"journal":{"name":"2013 XXIV International Conference on Information, Communication and Automation Technologies (ICAT)","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114527034","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 : 2013-10-01DOI: 10.1109/ICAT.2013.6684057
H. Karimi, B. Makki, Bahador Makki
This paper investigated the problem of control design for a class of stochastic systems with Markovian jump parameters and time-varying delays. For the model under consideration, a passivity-based approach is introduced for designing mode-dependent output feedback controllers with mixed discrete and distributed delays. A Lypunov-Krasovskii function (LKF) is defined to establish new required sufficient conditions for ensuring exponentially mean-square stability and the passivity criteria, simultaneously. Moreover, controller gains are calculated based on a convex optimization method by solving a Linear Matrix Inequality (LMI). Finally, simulation results are provided to illustrate the effectiveness of our approach.
{"title":"A passivity approach to control of Markovian jump systems with mixed time-varying delays","authors":"H. Karimi, B. Makki, Bahador Makki","doi":"10.1109/ICAT.2013.6684057","DOIUrl":"https://doi.org/10.1109/ICAT.2013.6684057","url":null,"abstract":"This paper investigated the problem of control design for a class of stochastic systems with Markovian jump parameters and time-varying delays. For the model under consideration, a passivity-based approach is introduced for designing mode-dependent output feedback controllers with mixed discrete and distributed delays. A Lypunov-Krasovskii function (LKF) is defined to establish new required sufficient conditions for ensuring exponentially mean-square stability and the passivity criteria, simultaneously. Moreover, controller gains are calculated based on a convex optimization method by solving a Linear Matrix Inequality (LMI). Finally, simulation results are provided to illustrate the effectiveness of our approach.","PeriodicalId":348701,"journal":{"name":"2013 XXIV International Conference on Information, Communication and Automation Technologies (ICAT)","volume":"146 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115608274","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 : 2013-10-01DOI: 10.1109/ICAT.2013.6684046
Hanqing Hu, M. Kantardzic, Tegjyot Singh Sethi
In this paper we proposed an alternative approach to random selection for labeling extremely unbalanced stream data sets where one class is only 1-10% of the entire data set. Labeling, especially when human resources are needed, is often time consuming and expensive. In an extremely unbalanced data set, usually a lot of data points need to be labeled to get enough minority class samples. The goal of this research was to reduce the total number of samples needed in the labeling process of training new classification models for updating streaming data ensemble classifier. Our proposed approach is to find minority class clusters using the grid density algorithm, and sample minority class instances inside those regions. The result from the synthetic data set showed that efficiency of our proposed approaches varies with different grid sizes. Results on real world data sets confirmed that observation, and showed that when the data set has high dimensionality, dimensionality reduction was useful for reducing the number of grids in the data space increasing sampling efficiency. Our best results showed 19.4% improvement for an eight-dimension data set without dimensionality reduction, and 27.4% improvement for a thirty-six-dimension data set with dimensionality reduction.
{"title":"Selecting samples for labeling in unbalanced streaming data environments","authors":"Hanqing Hu, M. Kantardzic, Tegjyot Singh Sethi","doi":"10.1109/ICAT.2013.6684046","DOIUrl":"https://doi.org/10.1109/ICAT.2013.6684046","url":null,"abstract":"In this paper we proposed an alternative approach to random selection for labeling extremely unbalanced stream data sets where one class is only 1-10% of the entire data set. Labeling, especially when human resources are needed, is often time consuming and expensive. In an extremely unbalanced data set, usually a lot of data points need to be labeled to get enough minority class samples. The goal of this research was to reduce the total number of samples needed in the labeling process of training new classification models for updating streaming data ensemble classifier. Our proposed approach is to find minority class clusters using the grid density algorithm, and sample minority class instances inside those regions. The result from the synthetic data set showed that efficiency of our proposed approaches varies with different grid sizes. Results on real world data sets confirmed that observation, and showed that when the data set has high dimensionality, dimensionality reduction was useful for reducing the number of grids in the data space increasing sampling efficiency. Our best results showed 19.4% improvement for an eight-dimension data set without dimensionality reduction, and 27.4% improvement for a thirty-six-dimension data set with dimensionality reduction.","PeriodicalId":348701,"journal":{"name":"2013 XXIV International Conference on Information, Communication and Automation Technologies (ICAT)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122261085","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 : 2013-10-01DOI: 10.1109/ICAT.2013.6684085
Samir Lemes, Malik Cabaravdic, N. Zaimovic-Uzunovic
Three dimensional measurement of complex geometry with Coordinate measuring machines (CMMs) requires multiple clamping and fixturing of measured object. In order to speed-up this process and to reduce the number of fixturing operations, a robotic arm can be used to manipulate the measured object. This paper describes measurement uncertainty analysis of an improved complex measurement system consisting of robotic arm and the coordinate measuring machine.
{"title":"Robotic manipulation in dimensional measurement","authors":"Samir Lemes, Malik Cabaravdic, N. Zaimovic-Uzunovic","doi":"10.1109/ICAT.2013.6684085","DOIUrl":"https://doi.org/10.1109/ICAT.2013.6684085","url":null,"abstract":"Three dimensional measurement of complex geometry with Coordinate measuring machines (CMMs) requires multiple clamping and fixturing of measured object. In order to speed-up this process and to reduce the number of fixturing operations, a robotic arm can be used to manipulate the measured object. This paper describes measurement uncertainty analysis of an improved complex measurement system consisting of robotic arm and the coordinate measuring machine.","PeriodicalId":348701,"journal":{"name":"2013 XXIV International Conference on Information, Communication and Automation Technologies (ICAT)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128788515","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 : 2013-10-01DOI: 10.1109/ICAT.2013.6684093
Damir Demirovic, Amira Serifovic-Trbalic, P. Cattin
Image enhancement plays an important role in different research fields such as medical image analysis. Since the same computations are usually performed on many image elements, those computations can be easily parallelized. Modern Graphics Processing Units (GPUs) are capable for doing many tasks in parallel. However, improving running times on GPUs usually leads to a loss of floating point precision. In this paper we evaluate the impact of GPU hardware implemented native functions on three GPUs, and one Central Processing Unit (CPU). As an example, the bilateral filter with built-in and native math functions was implemented and used for smoothing noisy brain Magnetic Resonance Images (MRI). For all experiments widely used error metrics were calculated. Experiments shows that native versions improve running times significantly (up to 155 times). As expected precision is lower for the measures which include a lot additions without normalization.
{"title":"Evaluation of OpenCL native math functions for image processing algorithms","authors":"Damir Demirovic, Amira Serifovic-Trbalic, P. Cattin","doi":"10.1109/ICAT.2013.6684093","DOIUrl":"https://doi.org/10.1109/ICAT.2013.6684093","url":null,"abstract":"Image enhancement plays an important role in different research fields such as medical image analysis. Since the same computations are usually performed on many image elements, those computations can be easily parallelized. Modern Graphics Processing Units (GPUs) are capable for doing many tasks in parallel. However, improving running times on GPUs usually leads to a loss of floating point precision. In this paper we evaluate the impact of GPU hardware implemented native functions on three GPUs, and one Central Processing Unit (CPU). As an example, the bilateral filter with built-in and native math functions was implemented and used for smoothing noisy brain Magnetic Resonance Images (MRI). For all experiments widely used error metrics were calculated. Experiments shows that native versions improve running times significantly (up to 155 times). As expected precision is lower for the measures which include a lot additions without normalization.","PeriodicalId":348701,"journal":{"name":"2013 XXIV International Conference on Information, Communication and Automation Technologies (ICAT)","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125474379","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 : 2013-10-01DOI: 10.1109/ICAT.2013.6684082
F. Hadziomerovic
This paper shows how to obtain probability distribution of traversing time between initial and final states in Markov Chains underlying Petri Nets. The exact closed form solution is obtained for the negative exponential transitions (firing times) with or without one deterministic transition, and the approximate solution for the mix of negative exponential with more than one deterministic transitions. Then the known distribution enables to find the percentile estimates. We apply our method to obtain the percentile of a packet delay in the network. This approach can be applied to any performance tool which reduces to Markov chains, such as Finite State Machines as well as Queuing Networks.
{"title":"Calculation of traversing time distributions in semi-Markov chains with application on Petri Nets","authors":"F. Hadziomerovic","doi":"10.1109/ICAT.2013.6684082","DOIUrl":"https://doi.org/10.1109/ICAT.2013.6684082","url":null,"abstract":"This paper shows how to obtain probability distribution of traversing time between initial and final states in Markov Chains underlying Petri Nets. The exact closed form solution is obtained for the negative exponential transitions (firing times) with or without one deterministic transition, and the approximate solution for the mix of negative exponential with more than one deterministic transitions. Then the known distribution enables to find the percentile estimates. We apply our method to obtain the percentile of a packet delay in the network. This approach can be applied to any performance tool which reduces to Markov chains, such as Finite State Machines as well as Queuing Networks.","PeriodicalId":348701,"journal":{"name":"2013 XXIV International Conference on Information, Communication and Automation Technologies (ICAT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131329471","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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