Pub Date : 2011-06-23DOI: 10.1109/INES.2011.5954771
Jieun Kim, H. Yoon
In this paper, we proposed feature extraction method in natural scene images. And also, we develop character recognition system using feature extraction method in natural scene images. A graph matching method use structural feature of character. It is recognition method that it considers relation of position and structural relation. It is robust method to change of font or rotation. In order to proof it, we tested two cases that training font and test font are same case or difference case.
{"title":"Graph matching method for character recognition in natural scene images: A study of character recognition in natural scene image considering visual impairments","authors":"Jieun Kim, H. Yoon","doi":"10.1109/INES.2011.5954771","DOIUrl":"https://doi.org/10.1109/INES.2011.5954771","url":null,"abstract":"In this paper, we proposed feature extraction method in natural scene images. And also, we develop character recognition system using feature extraction method in natural scene images. A graph matching method use structural feature of character. It is recognition method that it considers relation of position and structural relation. It is robust method to change of font or rotation. In order to proof it, we tested two cases that training font and test font are same case or difference case.","PeriodicalId":414812,"journal":{"name":"2011 15th IEEE International Conference on Intelligent Engineering Systems","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124890747","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 : 2011-06-23DOI: 10.1109/INES.2011.5954713
L. Kovács, P. Szalay, T. Ferenci, D. Drexler, Johanna Sápi, I. Harmati, Z. Benyó
This paper summarizes the results of research tasks in the field of physiological modeling and control of diseases with high public health impact carried out by the Biomedical Engineering Laboratory of the Budapest University of Technology and Economics. The developed and presented optimal algorithms and strategies focus on three diseases with high public health impact diabetes (the question of artificial pancreas), obesity (predicting obesity-related risks) and cancer (antiangiogenic chemotherapy). The studies are done together with different Hungarian hospitals, from where measurement data were obtained.
{"title":"Modeling and optimal control strategies of diseases with high public health impact","authors":"L. Kovács, P. Szalay, T. Ferenci, D. Drexler, Johanna Sápi, I. Harmati, Z. Benyó","doi":"10.1109/INES.2011.5954713","DOIUrl":"https://doi.org/10.1109/INES.2011.5954713","url":null,"abstract":"This paper summarizes the results of research tasks in the field of physiological modeling and control of diseases with high public health impact carried out by the Biomedical Engineering Laboratory of the Budapest University of Technology and Economics. The developed and presented optimal algorithms and strategies focus on three diseases with high public health impact diabetes (the question of artificial pancreas), obesity (predicting obesity-related risks) and cancer (antiangiogenic chemotherapy). The studies are done together with different Hungarian hospitals, from where measurement data were obtained.","PeriodicalId":414812,"journal":{"name":"2011 15th IEEE International Conference on Intelligent Engineering Systems","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128594268","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 : 2011-06-23DOI: 10.1109/INES.2011.5954734
M. Popa
The classical solution for collecting data from energy meters, based on displacements of peoples, tends to be replaced by modern solutions: drive-by and Automated Meter Reading (AMR). AMR means to automatically collect data from meters and send them to a central computer. An Advanced Metering Infrastructure (AMI) is an AMR infrastructure with bidirectional smart meters — gateway communication, this leading to extra facilities. This paper describes an AMI based system. Smart meters are connected to a gateway through power lines and the gateway communicates with a central computer through GSM. The power line communication is implemented with an industrial bus, LonWork. The paper focuses the data collection solution.
{"title":"Data collecting from smart meters in an Advanced Metering Infrastructure","authors":"M. Popa","doi":"10.1109/INES.2011.5954734","DOIUrl":"https://doi.org/10.1109/INES.2011.5954734","url":null,"abstract":"The classical solution for collecting data from energy meters, based on displacements of peoples, tends to be replaced by modern solutions: drive-by and Automated Meter Reading (AMR). AMR means to automatically collect data from meters and send them to a central computer. An Advanced Metering Infrastructure (AMI) is an AMR infrastructure with bidirectional smart meters — gateway communication, this leading to extra facilities. This paper describes an AMI based system. Smart meters are connected to a gateway through power lines and the gateway communicates with a central computer through GSM. The power line communication is implemented with an industrial bus, LonWork. The paper focuses the data collection solution.","PeriodicalId":414812,"journal":{"name":"2011 15th IEEE International Conference on Intelligent Engineering Systems","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116867980","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 : 2011-06-23DOI: 10.1109/INES.2011.5954772
G. Tutoky, Ján Paralič
In this paper we analyze basic approaches for modeling of collaboration networks and propose some new extensions in weighting ties among event participants. One of the extensions is based on the idea of aging of the ties among collaborators. Classical as well as newly proposed approaches to weighting of ties in collaboration networks are experimentally evaluated. We performed two experiments with real data set and as a reference we used data gathered from peoples' opinions expressed in targeted inquiries.
{"title":"Modeling of collaboration social network including temporal attributes","authors":"G. Tutoky, Ján Paralič","doi":"10.1109/INES.2011.5954772","DOIUrl":"https://doi.org/10.1109/INES.2011.5954772","url":null,"abstract":"In this paper we analyze basic approaches for modeling of collaboration networks and propose some new extensions in weighting ties among event participants. One of the extensions is based on the idea of aging of the ties among collaborators. Classical as well as newly proposed approaches to weighting of ties in collaboration networks are experimentally evaluated. We performed two experiments with real data set and as a reference we used data gathered from peoples' opinions expressed in targeted inquiries.","PeriodicalId":414812,"journal":{"name":"2011 15th IEEE International Conference on Intelligent Engineering Systems","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121847792","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 : 2011-06-23DOI: 10.1109/INES.2011.5954774
G. Frank
Manufacturing companies are often faced with a large variety of customer needs. Frequently the consequence is an extensive number of assembly and part variants. Furthermore, customizing complex product platforms results in a great effort. Development and production costs are therefore on a high level. Hence, companies try to find the optimum equilibrium of internal costs and external demands [1]. If there are repetitive and nearly identical design processes, that goal can be achieved by optimizing product development processes by software driven design automation. This paper describes an “automated design to cost” approach which allows a reduction of engineering efforts by developing a standardized set of parts and modeling design knowledge.
{"title":"Optimization of the product creation process by automated design to cost","authors":"G. Frank","doi":"10.1109/INES.2011.5954774","DOIUrl":"https://doi.org/10.1109/INES.2011.5954774","url":null,"abstract":"Manufacturing companies are often faced with a large variety of customer needs. Frequently the consequence is an extensive number of assembly and part variants. Furthermore, customizing complex product platforms results in a great effort. Development and production costs are therefore on a high level. Hence, companies try to find the optimum equilibrium of internal costs and external demands [1]. If there are repetitive and nearly identical design processes, that goal can be achieved by optimizing product development processes by software driven design automation. This paper describes an “automated design to cost” approach which allows a reduction of engineering efforts by developing a standardized set of parts and modeling design knowledge.","PeriodicalId":414812,"journal":{"name":"2011 15th IEEE International Conference on Intelligent Engineering Systems","volume":"133 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132797324","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 : 2011-06-23DOI: 10.1109/INES.2011.5954785
M. Tkáčová, R. Hudák, J. Živčák, J. Sidun
The presented study deals with temperature distribution of healthy human bodies which were measured by infrared thermography. We used Infrared Imager with detector type 320×240 Focal Plane Array, Vanadium Oxide (VOx), Uncooled Microbolometer. A database of 240 thermograms from different position or locality of human body was created. The following eight views of human body were captured: TBA (Total Body — Anterior view), TBD (Total Body — Dorsal view), ToA (Torso — Anterior view), ToD (Torso — Dorsal view), DH (Dorsal side of Hand), PH (Palmar side of Hand), F (Foot) and FT (Facial Title). The database can be helpful in the diagnostics of many neurovascular and musculoskeletal diseases or injuries.
{"title":"Thermographic atlas of the human body","authors":"M. Tkáčová, R. Hudák, J. Živčák, J. Sidun","doi":"10.1109/INES.2011.5954785","DOIUrl":"https://doi.org/10.1109/INES.2011.5954785","url":null,"abstract":"The presented study deals with temperature distribution of healthy human bodies which were measured by infrared thermography. We used Infrared Imager with detector type 320×240 Focal Plane Array, Vanadium Oxide (VOx), Uncooled Microbolometer. A database of 240 thermograms from different position or locality of human body was created. The following eight views of human body were captured: TBA (Total Body — Anterior view), TBD (Total Body — Dorsal view), ToA (Torso — Anterior view), ToD (Torso — Dorsal view), DH (Dorsal side of Hand), PH (Palmar side of Hand), F (Foot) and FT (Facial Title). The database can be helpful in the diagnostics of many neurovascular and musculoskeletal diseases or injuries.","PeriodicalId":414812,"journal":{"name":"2011 15th IEEE International Conference on Intelligent Engineering Systems","volume":"311 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133244005","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 : 2011-06-23DOI: 10.1109/INES.2011.5954729
J. Mpanza, T. Marwala
Most transformer failures are attributed to bushings failures. Hence it is necessary to monitor the condition of bushings. In this paper three methods are developed to monitor the condition of oil filled bushing. Multi-layer perceptron (MLP), Radial basis function (RBF) and Rough Set (RS) models are developed and combined through majority voting to form a committee. The MLP performs better that the RBF and the RS is terms of classification accuracy. The RBF is the fasted to train. The committee performs better than the individual models. The diversity of models is measured to evaluate their similarity when used in the committee.
{"title":"Artificial neural network and rough set for HV bushings condition monitoring","authors":"J. Mpanza, T. Marwala","doi":"10.1109/INES.2011.5954729","DOIUrl":"https://doi.org/10.1109/INES.2011.5954729","url":null,"abstract":"Most transformer failures are attributed to bushings failures. Hence it is necessary to monitor the condition of bushings. In this paper three methods are developed to monitor the condition of oil filled bushing. Multi-layer perceptron (MLP), Radial basis function (RBF) and Rough Set (RS) models are developed and combined through majority voting to form a committee. The MLP performs better that the RBF and the RS is terms of classification accuracy. The RBF is the fasted to train. The committee performs better than the individual models. The diversity of models is measured to evaluate their similarity when used in the committee.","PeriodicalId":414812,"journal":{"name":"2011 15th IEEE International Conference on Intelligent Engineering Systems","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130834010","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 : 2011-06-23DOI: 10.1109/INES.2011.5954757
L. Goldhammer, H. Woyand
Information and knowledge have become an important factor in product development. The approach of a CAD assistance system is for many companies a major step towards the future. For a successful integration of knowledge systems, the factors: knowledge management, KBE, object-oriented modeling, CAx-Automation and a multifunctional programming language, play a decisive role. In this paper we present an approach for a CAD assistance system based on the programming language Python. Python can control the CAD system CATIA V5 via Windows COM interface and also edit CAD data. An object-oriented modeling of CAD components facilitates a knowledge-based design. Simultaneously the knowledge of design can be created and formalized in a knowledge base (ontology). This ontology is also based on the programming language Python. Thus, an opportunity in Python has been created in which the CAD system and the knowledge management can be controlled and used in one level. Therefore this approach paves the way for a CAD-Automation or a CAD assistance system.
{"title":"Towards a knowledge based design assistance system","authors":"L. Goldhammer, H. Woyand","doi":"10.1109/INES.2011.5954757","DOIUrl":"https://doi.org/10.1109/INES.2011.5954757","url":null,"abstract":"Information and knowledge have become an important factor in product development. The approach of a CAD assistance system is for many companies a major step towards the future. For a successful integration of knowledge systems, the factors: knowledge management, KBE, object-oriented modeling, CAx-Automation and a multifunctional programming language, play a decisive role. In this paper we present an approach for a CAD assistance system based on the programming language Python. Python can control the CAD system CATIA V5 via Windows COM interface and also edit CAD data. An object-oriented modeling of CAD components facilitates a knowledge-based design. Simultaneously the knowledge of design can be created and formalized in a knowledge base (ontology). This ontology is also based on the programming language Python. Thus, an opportunity in Python has been created in which the CAD system and the knowledge management can be controlled and used in one level. Therefore this approach paves the way for a CAD-Automation or a CAD assistance system.","PeriodicalId":414812,"journal":{"name":"2011 15th IEEE International Conference on Intelligent Engineering Systems","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130558095","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 : 2011-06-23DOI: 10.1109/INES.2011.5954755
H. G. Zadeh, Siamak Janianpour, J. Haddadnia
A new approach to pattern recognition and classification of non-stationary power signal is presented in this paper. In the proposed work visual localization and detection of non-stationary power signals are achieved using Image processing and its pattern is recognized and classified by MLP neural network algorithm. Also disturbance localization and classification of the signal, is done once with image processing and one more time with neural network and the results are compared with each other. In MLP neural network method we tried to reduce the disturbance localization errors of image processing method. Various non-stationary power signals are processed through image processing stage to generate property charts of the signal for extracting relevant features for pattern classification. The extracted features are clustered using MLP Neural Network algorithm to refine the cluster centers.
{"title":"A novel method for disturbance detection, localization and pattern recognition in signal images","authors":"H. G. Zadeh, Siamak Janianpour, J. Haddadnia","doi":"10.1109/INES.2011.5954755","DOIUrl":"https://doi.org/10.1109/INES.2011.5954755","url":null,"abstract":"A new approach to pattern recognition and classification of non-stationary power signal is presented in this paper. In the proposed work visual localization and detection of non-stationary power signals are achieved using Image processing and its pattern is recognized and classified by MLP neural network algorithm. Also disturbance localization and classification of the signal, is done once with image processing and one more time with neural network and the results are compared with each other. In MLP neural network method we tried to reduce the disturbance localization errors of image processing method. Various non-stationary power signals are processed through image processing stage to generate property charts of the signal for extracting relevant features for pattern classification. The extracted features are clustered using MLP Neural Network algorithm to refine the cluster centers.","PeriodicalId":414812,"journal":{"name":"2011 15th IEEE International Conference on Intelligent Engineering Systems","volume":"119 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125920401","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 : 2011-06-23DOI: 10.1109/INES.2011.5954716
M. Vida, L. Stoicu-Tivadar
The paper presents an ICT tool to support the physicians in their clinical activity assessing and monitoring the cases which lead to preterm birth. The basic ICT tool is an open source called Labkey Server which has the ability to make statistics, reports and other important charts which can help the clinicians and the researcher to prevent the preterm birth. The data will be gathered from multiple databases from different departments or laboratories and processed to adapt to situations and supply the appropriate solution to assist the clinician. The communication is based on HL7 CDA (Clinical Document Architecture) standard. The process will be applied to support detection of risk problems related to pregnancy which if are not detected in time can lead to preterm birth. The proposed platform will be used in the future to perform algorithms adaptable to specific situations and patients in order to add a smart component that can alert the clinician in case of higher risk pregnancy situations.
{"title":"Developing an integrated platform to identify the risk factors in obstetrics department","authors":"M. Vida, L. Stoicu-Tivadar","doi":"10.1109/INES.2011.5954716","DOIUrl":"https://doi.org/10.1109/INES.2011.5954716","url":null,"abstract":"The paper presents an ICT tool to support the physicians in their clinical activity assessing and monitoring the cases which lead to preterm birth. The basic ICT tool is an open source called Labkey Server which has the ability to make statistics, reports and other important charts which can help the clinicians and the researcher to prevent the preterm birth. The data will be gathered from multiple databases from different departments or laboratories and processed to adapt to situations and supply the appropriate solution to assist the clinician. The communication is based on HL7 CDA (Clinical Document Architecture) standard. The process will be applied to support detection of risk problems related to pregnancy which if are not detected in time can lead to preterm birth. The proposed platform will be used in the future to perform algorithms adaptable to specific situations and patients in order to add a smart component that can alert the clinician in case of higher risk pregnancy situations.","PeriodicalId":414812,"journal":{"name":"2011 15th IEEE International Conference on Intelligent Engineering Systems","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115112502","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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