Pub Date : 2013-11-01DOI: 10.1109/CINTI.2013.6705232
T. Rubina, M. Mednis, E. Stalidzans
In case of model development, it would be an advantage to assess the quality of available models looking for the best one or to find suitable parts of a published model to build a new one. The differences or contradictions in reconstructions can indicate the level of agreement between different authors about the topic of interest. The intersecting part of models can reveal also the differences in the scope of the models. Two pairs of models from BioCyc database were analyzed: 1) the Escherichia coli models ecol199310cyc and ecol316407cyc and 2) the Saccharomyces cerevisiae models iND750 and iLL672. The ModeRator software tool is used to compare models and generate their intersection model. The structural parameters of models are analyzed by the software BINESA. The study reveals very different parameters of the intersections of the pairs of the E. coli and the S. cerevisiae models. The models built by the same group of authors like in the case of E. coli is selected as an example of a high agreement between models and can be interpreted as a consensus part of two initial models. The intersection of the S. cerevisiae models demonstrates very different structural properties and the intersection model would not be able to function even after significant improvement. The structural analysis of the pairs of original models and their intersections is performed to determine which structural parameters can be used to determine a poor agreement between the pairs of models. It is concluded that an application of the automated comparison and intersection generation of two models can give a fast insight in the similarity of the models to find out the consensus level in modelling of metabolism of a particular organism. This approach can be used also to find similarities between the models of different organisms. Automation of intersection creation and structural analysis are enabling technologies of this approach.
{"title":"Agreement assessment of biochemical pathway models by structural analysis of their intersection","authors":"T. Rubina, M. Mednis, E. Stalidzans","doi":"10.1109/CINTI.2013.6705232","DOIUrl":"https://doi.org/10.1109/CINTI.2013.6705232","url":null,"abstract":"In case of model development, it would be an advantage to assess the quality of available models looking for the best one or to find suitable parts of a published model to build a new one. The differences or contradictions in reconstructions can indicate the level of agreement between different authors about the topic of interest. The intersecting part of models can reveal also the differences in the scope of the models. Two pairs of models from BioCyc database were analyzed: 1) the Escherichia coli models ecol199310cyc and ecol316407cyc and 2) the Saccharomyces cerevisiae models iND750 and iLL672. The ModeRator software tool is used to compare models and generate their intersection model. The structural parameters of models are analyzed by the software BINESA. The study reveals very different parameters of the intersections of the pairs of the E. coli and the S. cerevisiae models. The models built by the same group of authors like in the case of E. coli is selected as an example of a high agreement between models and can be interpreted as a consensus part of two initial models. The intersection of the S. cerevisiae models demonstrates very different structural properties and the intersection model would not be able to function even after significant improvement. The structural analysis of the pairs of original models and their intersections is performed to determine which structural parameters can be used to determine a poor agreement between the pairs of models. It is concluded that an application of the automated comparison and intersection generation of two models can give a fast insight in the similarity of the models to find out the consensus level in modelling of metabolism of a particular organism. This approach can be used also to find similarities between the models of different organisms. Automation of intersection creation and structural analysis are enabling technologies of this approach.","PeriodicalId":439949,"journal":{"name":"2013 IEEE 14th International Symposium on Computational Intelligence and Informatics (CINTI)","volume":"68 9","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133351848","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 : 2013-11-01DOI: 10.1109/CINTI.2013.6705183
S. Belyakov, A. Bozhenyuk, I. Rozenberg
This paper investigates the ways of building the routing algorithms in mechanical transport systems on the basis of knowledge. It is assumed that the expert observing the behavior of the system shows his experience by specifying the subsystems with a specific behavior. To create a routing table, the model of fuzzy temporal hypergraph is used. Fixed and dynamic routing is considered; modifications of Dijkstra's algorithm for the case of a fuzzy temporal graph are shown.
{"title":"Routing in the mechanical transport systems on the basis of knowledge","authors":"S. Belyakov, A. Bozhenyuk, I. Rozenberg","doi":"10.1109/CINTI.2013.6705183","DOIUrl":"https://doi.org/10.1109/CINTI.2013.6705183","url":null,"abstract":"This paper investigates the ways of building the routing algorithms in mechanical transport systems on the basis of knowledge. It is assumed that the expert observing the behavior of the system shows his experience by specifying the subsystems with a specific behavior. To create a routing table, the model of fuzzy temporal hypergraph is used. Fixed and dynamic routing is considered; modifications of Dijkstra's algorithm for the case of a fuzzy temporal graph are shown.","PeriodicalId":439949,"journal":{"name":"2013 IEEE 14th International Symposium on Computational Intelligence and Informatics (CINTI)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131838265","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 : 2013-11-01DOI: 10.1109/CINTI.2013.6705199
P. Císar, S. M. Cisar, B. Markoski
Edge detection is an important operation in the analysis of a digital image and includes a set of mathematical methods to identify points of discontinuity. For this purpose, different algorithms are used for estimating image gradient. Many edge detection techniques are implemented with convolution mask and based on discrete approximations to differential operators. Differential operations measure the rate of change in the image brightness function. The compass approach implies taking a single mask and rotating it to major compass orientations. Using a suitable programming environment, this paper provides a comparative visual analysis of several digital images, with the ability to change the kernel set in compass edge detection.
{"title":"Kernel sets in compass edge detection","authors":"P. Císar, S. M. Cisar, B. Markoski","doi":"10.1109/CINTI.2013.6705199","DOIUrl":"https://doi.org/10.1109/CINTI.2013.6705199","url":null,"abstract":"Edge detection is an important operation in the analysis of a digital image and includes a set of mathematical methods to identify points of discontinuity. For this purpose, different algorithms are used for estimating image gradient. Many edge detection techniques are implemented with convolution mask and based on discrete approximations to differential operators. Differential operations measure the rate of change in the image brightness function. The compass approach implies taking a single mask and rotating it to major compass orientations. Using a suitable programming environment, this paper provides a comparative visual analysis of several digital images, with the ability to change the kernel set in compass edge detection.","PeriodicalId":439949,"journal":{"name":"2013 IEEE 14th International Symposium on Computational Intelligence and Informatics (CINTI)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122227277","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 : 2013-11-01DOI: 10.1109/CINTI.2013.6705245
M. Pomarlan, I. Sucan
This paper introduces a method to efficiently compute global motion plans for robotic manipulators in dynamically changing environments. An offline computation step is used to construct a sparse roadmap to approximate the configuration space of the manipulator in an empty environment. When the robot is running, a representation of the environment to keep track of the robot's free workspace is maintained as sensor updates are received. The maintained representation of the free workspace is used in conjunction with the data computed offline to quickly compute good quality global motion plans.
{"title":"Motion planning for manipulators in dynamically changing environments using real-time mapping of free workspace","authors":"M. Pomarlan, I. Sucan","doi":"10.1109/CINTI.2013.6705245","DOIUrl":"https://doi.org/10.1109/CINTI.2013.6705245","url":null,"abstract":"This paper introduces a method to efficiently compute global motion plans for robotic manipulators in dynamically changing environments. An offline computation step is used to construct a sparse roadmap to approximate the configuration space of the manipulator in an empty environment. When the robot is running, a representation of the environment to keep track of the robot's free workspace is maintained as sensor updates are received. The maintained representation of the free workspace is used in conjunction with the data computed offline to quickly compute good quality global motion plans.","PeriodicalId":439949,"journal":{"name":"2013 IEEE 14th International Symposium on Computational Intelligence and Informatics (CINTI)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121077746","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 : 2013-11-01DOI: 10.1109/CINTI.2013.6705196
B. Nagy, S. Major
Parallel computing paradigms are of high interest because parallel computers are everywhere. In this paper connections of two parallel computing paradigms, namely interval-valued computing and cellular automata are shown. The interval-valued paradigm is a new computing paradigm that is universal and in this framework hard problems can be solved efficiently. One-dimensional cellular automata are also universal computing models that uses a high level of parallelism. We show that interval-valued computing can simulate cellular automata and also interval-valued computing can be simulated by cellular automata.
{"title":"Connection between interval-valued computing and cellular automata","authors":"B. Nagy, S. Major","doi":"10.1109/CINTI.2013.6705196","DOIUrl":"https://doi.org/10.1109/CINTI.2013.6705196","url":null,"abstract":"Parallel computing paradigms are of high interest because parallel computers are everywhere. In this paper connections of two parallel computing paradigms, namely interval-valued computing and cellular automata are shown. The interval-valued paradigm is a new computing paradigm that is universal and in this framework hard problems can be solved efficiently. One-dimensional cellular automata are also universal computing models that uses a high level of parallelism. We show that interval-valued computing can simulate cellular automata and also interval-valued computing can be simulated by cellular automata.","PeriodicalId":439949,"journal":{"name":"2013 IEEE 14th International Symposium on Computational Intelligence and Informatics (CINTI)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115293005","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 : 2013-11-01DOI: 10.1109/CINTI.2013.6705169
József Klespitz, L. Kovács
In hemodialysis machines peristaltic pumps are responsible for the transfer of fluids. The main characteristic of these pumps is that they can transport the solutions with significant error. That depends on the tube segment deviation caused through the production. Due to the fact that the medical fluid represents sometimes drugs and in the same time it is required to control the fluid balance of the patient, it is important to transfer these fluids as accurate as possible. The goal of the paper is to design a controller that satisfies the mentioned requirements. First, the system identification is realized by classical moving average method (ARX), followed by the design of two controllers: a classical PID one and a fuzzy controller. After comparing their simulation results, the most preferable one was implemented in practice. Real simulation results of the implemented controller end the paper.
{"title":"Identification and control of peristaltic pumps in hemodialysis machines","authors":"József Klespitz, L. Kovács","doi":"10.1109/CINTI.2013.6705169","DOIUrl":"https://doi.org/10.1109/CINTI.2013.6705169","url":null,"abstract":"In hemodialysis machines peristaltic pumps are responsible for the transfer of fluids. The main characteristic of these pumps is that they can transport the solutions with significant error. That depends on the tube segment deviation caused through the production. Due to the fact that the medical fluid represents sometimes drugs and in the same time it is required to control the fluid balance of the patient, it is important to transfer these fluids as accurate as possible. The goal of the paper is to design a controller that satisfies the mentioned requirements. First, the system identification is realized by classical moving average method (ARX), followed by the design of two controllers: a classical PID one and a fuzzy controller. After comparing their simulation results, the most preferable one was implemented in practice. Real simulation results of the implemented controller end the paper.","PeriodicalId":439949,"journal":{"name":"2013 IEEE 14th International Symposium on Computational Intelligence and Informatics (CINTI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115516504","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 : 2013-11-01DOI: 10.1109/CINTI.2013.6705249
V. Modrak, D. Marton
It is no doubt that assembling processes play a significant role in manufacturing systems and, therefore, their optimization is an important task in scientific as well as technical communities. One of the major challenges at the early configuration design stage is to make a decision about a suitable assembly structure. An experimental approach for assessing the structural complexity of supply chain networks is presented in this paper. Its main scope is to devise a methodology that can provide practical insights and implications in designing the assembly supply chain structural models.
{"title":"On structural complexity assessment of assembly supply chains","authors":"V. Modrak, D. Marton","doi":"10.1109/CINTI.2013.6705249","DOIUrl":"https://doi.org/10.1109/CINTI.2013.6705249","url":null,"abstract":"It is no doubt that assembling processes play a significant role in manufacturing systems and, therefore, their optimization is an important task in scientific as well as technical communities. One of the major challenges at the early configuration design stage is to make a decision about a suitable assembly structure. An experimental approach for assessing the structural complexity of supply chain networks is presented in this paper. Its main scope is to devise a methodology that can provide practical insights and implications in designing the assembly supply chain structural models.","PeriodicalId":439949,"journal":{"name":"2013 IEEE 14th International Symposium on Computational Intelligence and Informatics (CINTI)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115765905","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 : 2013-11-01DOI: 10.1109/CINTI.2013.6705195
N. Çetinkaya
Load forecasting is very important to operate the electric power systems. One of the primary tasks of an electric utility accurately predicts load demand requirements at all times, especially for long-term. Long term load forecasting (LTLF) is in need to plan and carry on future energy demand and investment such as size of energy plant. LTLF is affected by energy consumption data, national incoming, urbanization rate, population increasing rate and as well as other economic parameters. Artificial Neural Network (ANN) and Artificial Neural Fuzzy Inference System (ANFIS) are the famous artificial intelligence methods and have widely used to solve forecasting problems in literature. In this study, artificial intelligence methods and mathematical modeling (MM) are used to forecast long term energy consumption and peak load for Turkey. The four different input data are used to obtain two different outputs in all three methods. Using the four different variables especially in mathematical modeling has been a novelty for Turkey case study. The results obtained from ANFIS, ANN and MM are compared to show availability. In order to show error levels mean absolute percentage error (MAPE) and mean absolute error (MAE) are used.
{"title":"Long-term Electrical load forecasting based on economic and demographic data for Turkey","authors":"N. Çetinkaya","doi":"10.1109/CINTI.2013.6705195","DOIUrl":"https://doi.org/10.1109/CINTI.2013.6705195","url":null,"abstract":"Load forecasting is very important to operate the electric power systems. One of the primary tasks of an electric utility accurately predicts load demand requirements at all times, especially for long-term. Long term load forecasting (LTLF) is in need to plan and carry on future energy demand and investment such as size of energy plant. LTLF is affected by energy consumption data, national incoming, urbanization rate, population increasing rate and as well as other economic parameters. Artificial Neural Network (ANN) and Artificial Neural Fuzzy Inference System (ANFIS) are the famous artificial intelligence methods and have widely used to solve forecasting problems in literature. In this study, artificial intelligence methods and mathematical modeling (MM) are used to forecast long term energy consumption and peak load for Turkey. The four different input data are used to obtain two different outputs in all three methods. Using the four different variables especially in mathematical modeling has been a novelty for Turkey case study. The results obtained from ANFIS, ANN and MM are compared to show availability. In order to show error levels mean absolute percentage error (MAPE) and mean absolute error (MAE) are used.","PeriodicalId":439949,"journal":{"name":"2013 IEEE 14th International Symposium on Computational Intelligence and Informatics (CINTI)","volume":"373 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114877725","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 : 2013-11-01DOI: 10.1109/CINTI.2013.6705255
I. Haragos, S. Holban, C. Cernazanu-Glavan
Road transport has become one of the most used types of transport currently, issue that has generated many problems as congestion, pollution and accidents. For these reasons, the related studies of the traffic optimization, have known a great development. Due to the complexity of traffic, most of the performed studies have used simulation models. In this paper, the authors propose a new analytical model to determine the quality factor used in transport network. The model takes into account both the street configuration: lanes, width of lanes and traffic light in system present or absent; and the dynamic component that specifies a particular existing traffic: number of vehicles, the length of time of crossing the intersection. The result of the modeling is a numerical value that describes the quality of streets. This factor is used to characterize the global traffic in the intersection and also to optimize traffic in a structure of the interconnected intersections. The use of this model of quality factor helps to unify the elements of road traffic system with classical theory of queuing network. The novelty of this model is to incorporate the main features present in static and dynamic traffic. It uses the classical theory of queuing networks applied in traffic modeling.
{"title":"Analytical model to determine the quality factor used in transport network","authors":"I. Haragos, S. Holban, C. Cernazanu-Glavan","doi":"10.1109/CINTI.2013.6705255","DOIUrl":"https://doi.org/10.1109/CINTI.2013.6705255","url":null,"abstract":"Road transport has become one of the most used types of transport currently, issue that has generated many problems as congestion, pollution and accidents. For these reasons, the related studies of the traffic optimization, have known a great development. Due to the complexity of traffic, most of the performed studies have used simulation models. In this paper, the authors propose a new analytical model to determine the quality factor used in transport network. The model takes into account both the street configuration: lanes, width of lanes and traffic light in system present or absent; and the dynamic component that specifies a particular existing traffic: number of vehicles, the length of time of crossing the intersection. The result of the modeling is a numerical value that describes the quality of streets. This factor is used to characterize the global traffic in the intersection and also to optimize traffic in a structure of the interconnected intersections. The use of this model of quality factor helps to unify the elements of road traffic system with classical theory of queuing network. The novelty of this model is to incorporate the main features present in static and dynamic traffic. It uses the classical theory of queuing networks applied in traffic modeling.","PeriodicalId":439949,"journal":{"name":"2013 IEEE 14th International Symposium on Computational Intelligence and Informatics (CINTI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129433495","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 : 2013-11-01DOI: 10.1109/CINTI.2013.6705224
Fan Wu
As information technology (IT) is getting more and more widely applied to corporate operation and management, it has become a critical problem how to make IT application more effective in corporate management and decision-making processes. Recently, the rapid development of IT outsourcing practice has provided multiple choices for enterprises. However, as for companies themselves, it remains quite a tough problem to what extent they should outsource the IT products and services they need. This paper is aimed at exploiting the impact of IT outsourcing on corporate competence from the perspective of the corporate IT intensity so as to make right choices on IT outsourcing.
{"title":"Investigation of the impact of corporate IT outsourcing decision on corporate core competence from the perspective of corporate IT intensity","authors":"Fan Wu","doi":"10.1109/CINTI.2013.6705224","DOIUrl":"https://doi.org/10.1109/CINTI.2013.6705224","url":null,"abstract":"As information technology (IT) is getting more and more widely applied to corporate operation and management, it has become a critical problem how to make IT application more effective in corporate management and decision-making processes. Recently, the rapid development of IT outsourcing practice has provided multiple choices for enterprises. However, as for companies themselves, it remains quite a tough problem to what extent they should outsource the IT products and services they need. This paper is aimed at exploiting the impact of IT outsourcing on corporate competence from the perspective of the corporate IT intensity so as to make right choices on IT outsourcing.","PeriodicalId":439949,"journal":{"name":"2013 IEEE 14th International Symposium on Computational Intelligence and Informatics (CINTI)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125826443","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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