Pub Date : 2014-10-16DOI: 10.1109/SISY.2014.6923594
G. Max, B. Lantos
The paper deals with the time optimal control of automatically driven cars modeled with gear shift as discrete control input beside the continuous ones in a test path between corridors. The car is required to avoid a static obstacle or performing double lane change. The problem can be formulated as a mixed-integer optimal control problem (MIOCP). The resulting MIOCP is solved by reformulating it to static mixed-integer nonlinear program (MINLP) using time discretization and direct multiple shooting method. Non-commercial open software packages are applied that substantially use the gradients of the objective function and the Jacobians of the constraints exploiting sparsity. A novel algorithm and implementation is presented for computing the derivatives of the complex state trajectory joining equations. This algorithm was given in the form of matrix differential equations whose structure allowed to compute their solution using RK4 in matrix form. The elaborated method can be applied both for combustion engine and electric driven cars. It can form the basis to generate an offline database of a central general collision avoidance system (CAS) for varying path parameters on a grid which can support real time applications.
{"title":"Time optimal control of ground vehicles","authors":"G. Max, B. Lantos","doi":"10.1109/SISY.2014.6923594","DOIUrl":"https://doi.org/10.1109/SISY.2014.6923594","url":null,"abstract":"The paper deals with the time optimal control of automatically driven cars modeled with gear shift as discrete control input beside the continuous ones in a test path between corridors. The car is required to avoid a static obstacle or performing double lane change. The problem can be formulated as a mixed-integer optimal control problem (MIOCP). The resulting MIOCP is solved by reformulating it to static mixed-integer nonlinear program (MINLP) using time discretization and direct multiple shooting method. Non-commercial open software packages are applied that substantially use the gradients of the objective function and the Jacobians of the constraints exploiting sparsity. A novel algorithm and implementation is presented for computing the derivatives of the complex state trajectory joining equations. This algorithm was given in the form of matrix differential equations whose structure allowed to compute their solution using RK4 in matrix form. The elaborated method can be applied both for combustion engine and electric driven cars. It can form the basis to generate an offline database of a central general collision avoidance system (CAS) for varying path parameters on a grid which can support real time applications.","PeriodicalId":277041,"journal":{"name":"2014 IEEE 12th International Symposium on Intelligent Systems and Informatics (SISY)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115414730","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 : 2014-10-16DOI: 10.1109/SISY.2014.6923558
S. Bodjanova, M. Kalina
Karaçal and Mesiar showed that it is possible to construct uninorms on an arbitrary bounded lattice. Particularly, they constructed the weakest and the strongest uninorm. In this paper another method for a construction of uninorms on bounded lattices is proposed. The cases of general bounded lattices as well as bounded lattices equipped with a special arithmetic operation, are discussed.
{"title":"Construction of uninorms on bounded lattices","authors":"S. Bodjanova, M. Kalina","doi":"10.1109/SISY.2014.6923558","DOIUrl":"https://doi.org/10.1109/SISY.2014.6923558","url":null,"abstract":"Karaçal and Mesiar showed that it is possible to construct uninorms on an arbitrary bounded lattice. Particularly, they constructed the weakest and the strongest uninorm. In this paper another method for a construction of uninorms on bounded lattices is proposed. The cases of general bounded lattices as well as bounded lattices equipped with a special arithmetic operation, are discussed.","PeriodicalId":277041,"journal":{"name":"2014 IEEE 12th International Symposium on Intelligent Systems and Informatics (SISY)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115426224","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 : 2014-10-16DOI: 10.1109/SISY.2014.6923607
D. Dordevic, D. Kukolj, P. Callet
This paper analyzes and presents impact of two types of the objective image quality assessment measures, no-reference and full-reference measures, on perception quality of 3D image using fuzzy logic estimator namely the Takagi-Sugeno-Kang fuzzy model. Based on the choice of two types of model's inputs, a comparative analysis is performed in this paper. All parameters of the no-reference and full-reference Takagi-Sugeno-Kang models are optimized in accordance to the selected sets mapping criteria of the input objective quality measures to the corresponding Differential Mean Opinion Scores (DMOS).
{"title":"3D image quality assessment using Takagi-Sugeno-Kang fuzzy modele","authors":"D. Dordevic, D. Kukolj, P. Callet","doi":"10.1109/SISY.2014.6923607","DOIUrl":"https://doi.org/10.1109/SISY.2014.6923607","url":null,"abstract":"This paper analyzes and presents impact of two types of the objective image quality assessment measures, no-reference and full-reference measures, on perception quality of 3D image using fuzzy logic estimator namely the Takagi-Sugeno-Kang fuzzy model. Based on the choice of two types of model's inputs, a comparative analysis is performed in this paper. All parameters of the no-reference and full-reference Takagi-Sugeno-Kang models are optimized in accordance to the selected sets mapping criteria of the input objective quality measures to the corresponding Differential Mean Opinion Scores (DMOS).","PeriodicalId":277041,"journal":{"name":"2014 IEEE 12th International Symposium on Intelligent Systems and Informatics (SISY)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129013039","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 : 2014-10-16DOI: 10.1109/SISY.2014.6923611
Aleksandar Pejic, P. Stanic, Szilveszter Pletl
This article deals with performance evaluation of the Opus audio codec in a particular implementation. Different packet loss settings are investigated in means of the decoded signal objective quality measures. Packet loss can occur either on the congested wired or on the less reliable radio frequency data connections. Waveform based, spectrum based, as well as perceptual based and composite measures are computed and analyzed. Test results indicated that the packet loss concealment algorithm implemented into the codec behaves differently than expected at certain predicted packet loss values.
{"title":"Analysis of packet loss prediction effects on the objective quality measures of Opus codec","authors":"Aleksandar Pejic, P. Stanic, Szilveszter Pletl","doi":"10.1109/SISY.2014.6923611","DOIUrl":"https://doi.org/10.1109/SISY.2014.6923611","url":null,"abstract":"This article deals with performance evaluation of the Opus audio codec in a particular implementation. Different packet loss settings are investigated in means of the decoded signal objective quality measures. Packet loss can occur either on the congested wired or on the less reliable radio frequency data connections. Waveform based, spectrum based, as well as perceptual based and composite measures are computed and analyzed. Test results indicated that the packet loss concealment algorithm implemented into the codec behaves differently than expected at certain predicted packet loss values.","PeriodicalId":277041,"journal":{"name":"2014 IEEE 12th International Symposium on Intelligent Systems and Informatics (SISY)","volume":"152 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127522979","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 : 2014-10-16DOI: 10.1109/SISY.2014.6923602
N. Peric, Obrad Kasum, A. Jovanovic, A. Perović
The aim of this paper is to give a short overview of the methods that we have used in spectroscopy of microscopic images in order to improve perception and manipulation of small objects. The methodology itself is illustrated through several examples, together with short comments on related issues.
{"title":"A specific spectroscopy of microscopic images with improved small object or artefact perception and manipulation","authors":"N. Peric, Obrad Kasum, A. Jovanovic, A. Perović","doi":"10.1109/SISY.2014.6923602","DOIUrl":"https://doi.org/10.1109/SISY.2014.6923602","url":null,"abstract":"The aim of this paper is to give a short overview of the methods that we have used in spectroscopy of microscopic images in order to improve perception and manipulation of small objects. The methodology itself is illustrated through several examples, together with short comments on related issues.","PeriodicalId":277041,"journal":{"name":"2014 IEEE 12th International Symposium on Intelligent Systems and Informatics (SISY)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128879366","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 : 2014-09-01DOI: 10.1109/SISY.2014.6923590
N. Ralević, N. Glisovic, V. Djakovic, Goran B. Andjelic
The market structure has been adjusted in order to be as simple as possible in sense of its economic components. The aim of the investment return prediction is constructing as good models of the market movement as possible. As for as the stock market is concerned, the price rise of some stocks indicate the good results of the management of that company, while the price fall shows the inadequate management. Prompt and accurate information of the market movement enable the managers to take some measures which lead to optimal investment decision. The Autoregressive Moving Average (ARIMA) model is one of the most frequently linear models of the time series used for the investment return prediction. The prediction researches in the last years from the areas of Artificial Neural Networks (ANNs) indicate that ANNs with a combination of other prediction models give better prediction results. This research aim is to introduce a hybrid model ARIMA fuzzy-neural network for the prediction of the stock market index BELEX15 values. The research results indicate that the linear model ARIMA and fuzzy ANNs exhibit more superior investment return prediction performances.
{"title":"The performance of the investment return prediction models: Theory and evidence","authors":"N. Ralević, N. Glisovic, V. Djakovic, Goran B. Andjelic","doi":"10.1109/SISY.2014.6923590","DOIUrl":"https://doi.org/10.1109/SISY.2014.6923590","url":null,"abstract":"The market structure has been adjusted in order to be as simple as possible in sense of its economic components. The aim of the investment return prediction is constructing as good models of the market movement as possible. As for as the stock market is concerned, the price rise of some stocks indicate the good results of the management of that company, while the price fall shows the inadequate management. Prompt and accurate information of the market movement enable the managers to take some measures which lead to optimal investment decision. The Autoregressive Moving Average (ARIMA) model is one of the most frequently linear models of the time series used for the investment return prediction. The prediction researches in the last years from the areas of Artificial Neural Networks (ANNs) indicate that ANNs with a combination of other prediction models give better prediction results. This research aim is to introduce a hybrid model ARIMA fuzzy-neural network for the prediction of the stock market index BELEX15 values. The research results indicate that the linear model ARIMA and fuzzy ANNs exhibit more superior investment return prediction performances.","PeriodicalId":277041,"journal":{"name":"2014 IEEE 12th International Symposium on Intelligent Systems and Informatics (SISY)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129974541","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 : 2014-09-01DOI: 10.1109/SISY.2014.6923568
Matus Ujhelyi, P. Lacko, Aurel Paulovic
With the increase in the amount of data processing the importance of distributed computational systems is rising. The efficiency of the task scheduling algorithms used in distributed computational systems is one of the major challenges for the architecture of such systems. This paper presents and introduces a new task scheduling algorithm suggested for volunteer computing systems. It is based on an assessment of host performance, which is obtained from the characteristics of hosts participating in BOINC., the most widely used representative of volunteer computing systems. This paper also describes the simulation process and the achieved results of the proposed algorithm as compared with the original FCFS BOINC scheduling strategy.
{"title":"Task scheduling in distributed volunteer computing systems","authors":"Matus Ujhelyi, P. Lacko, Aurel Paulovic","doi":"10.1109/SISY.2014.6923568","DOIUrl":"https://doi.org/10.1109/SISY.2014.6923568","url":null,"abstract":"With the increase in the amount of data processing the importance of distributed computational systems is rising. The efficiency of the task scheduling algorithms used in distributed computational systems is one of the major challenges for the architecture of such systems. This paper presents and introduces a new task scheduling algorithm suggested for volunteer computing systems. It is based on an assessment of host performance, which is obtained from the characteristics of hosts participating in BOINC., the most widely used representative of volunteer computing systems. This paper also describes the simulation process and the achieved results of the proposed algorithm as compared with the original FCFS BOINC scheduling strategy.","PeriodicalId":277041,"journal":{"name":"2014 IEEE 12th International Symposium on Intelligent Systems and Informatics (SISY)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122470550","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 : 2014-05-26DOI: 10.1109/SISY.2014.6923557
D. Candeloro, A. R. Sambucini
Henstock-type integrals are studied for functions defined in a compact metric space T endowed with a regular σ-addltive measure μ, and taking values in a Banach lattice X. In particular, the space [0,1] with the usual Lebesgue measure is considered. The norm- and the order-type integral are compared and interesting results are obtained when X is an L-space. 2010 AMS Mathematics Subject Classification: 28B20, 46G10.
{"title":"Order-type Henstock and McShane integrals in banach lattice setting","authors":"D. Candeloro, A. R. Sambucini","doi":"10.1109/SISY.2014.6923557","DOIUrl":"https://doi.org/10.1109/SISY.2014.6923557","url":null,"abstract":"Henstock-type integrals are studied for functions defined in a compact metric space T endowed with a regular σ-addltive measure μ, and taking values in a Banach lattice X. In particular, the space [0,1] with the usual Lebesgue measure is considered. The norm- and the order-type integral are compared and interesting results are obtained when X is an L-space. 2010 AMS Mathematics Subject Classification: 28B20, 46G10.","PeriodicalId":277041,"journal":{"name":"2014 IEEE 12th International Symposium on Intelligent Systems and Informatics (SISY)","volume":"231 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132413837","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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