Pub Date : 2015-12-01DOI: 10.1109/INTELCIS.2015.7397257
Nelly S. Amer, H. Hefny
This paper provides general analytical formulas for similarity and distinguishabilty measures of fuzzy sets of Cauchy type membership functions. A generalized analytical formula between similarity and possibility measures has also been obtained. A comparison with the case of Gaussian fuzzy sets ensures interesting monotonic characteristic charts for Cauchy type fuzzy sets compared with those of Gaussian fuzzy sets. This result represents a significant guide for building interpretable fuzzy models by adopting suitable forms of fuzzy sets as linguistic values based on their characteristic charts.
{"title":"Analytical formulas for similarity, possibility and distinguishability measures of Cauchy type fuzzy sets with comparison to Gaussian fuzzy sets","authors":"Nelly S. Amer, H. Hefny","doi":"10.1109/INTELCIS.2015.7397257","DOIUrl":"https://doi.org/10.1109/INTELCIS.2015.7397257","url":null,"abstract":"This paper provides general analytical formulas for similarity and distinguishabilty measures of fuzzy sets of Cauchy type membership functions. A generalized analytical formula between similarity and possibility measures has also been obtained. A comparison with the case of Gaussian fuzzy sets ensures interesting monotonic characteristic charts for Cauchy type fuzzy sets compared with those of Gaussian fuzzy sets. This result represents a significant guide for building interpretable fuzzy models by adopting suitable forms of fuzzy sets as linguistic values based on their characteristic charts.","PeriodicalId":6478,"journal":{"name":"2015 IEEE Seventh International Conference on Intelligent Computing and Information Systems (ICICIS)","volume":"41 1","pages":"21-26"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79305560","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 : 2015-12-01DOI: 10.1109/INTELCIS.2015.7397184
K. Kayser
Summary form only given. Information diminishes the uncertainty of a receiver to react in a certain optimum manner. It is a statistical property, or an event in a statistical population, and can be calculated by different entropy algorithms.. In image analysis one should distinguish between image content information (ICI), which is information that can be evaluated from the image itself and external knowledge which is not included in the image itself and which is commonly mandatory to interpret ICI in a correct manner. Diagnosis can then be defined as a mapping of external information on ICI. The specific algorithms how to do this will be discussed with focus on predictive diagnosis. Predictive diagnosis analyses intra- and extra-cellular pathways including gene abnormalities. It is the tool to develop and apply drug strategies in order to steer individualized cancer therapy. The significance of entropy measurements including structural (MST) entropy and image standardization is described in detail and demonstrated on individual cases.
{"title":"IT and predictive diagnosis","authors":"K. Kayser","doi":"10.1109/INTELCIS.2015.7397184","DOIUrl":"https://doi.org/10.1109/INTELCIS.2015.7397184","url":null,"abstract":"Summary form only given. Information diminishes the uncertainty of a receiver to react in a certain optimum manner. It is a statistical property, or an event in a statistical population, and can be calculated by different entropy algorithms.. In image analysis one should distinguish between image content information (ICI), which is information that can be evaluated from the image itself and external knowledge which is not included in the image itself and which is commonly mandatory to interpret ICI in a correct manner. Diagnosis can then be defined as a mapping of external information on ICI. The specific algorithms how to do this will be discussed with focus on predictive diagnosis. Predictive diagnosis analyses intra- and extra-cellular pathways including gene abnormalities. It is the tool to develop and apply drug strategies in order to steer individualized cancer therapy. The significance of entropy measurements including structural (MST) entropy and image standardization is described in detail and demonstrated on individual cases.","PeriodicalId":6478,"journal":{"name":"2015 IEEE Seventh International Conference on Intelligent Computing and Information Systems (ICICIS)","volume":"649 1","pages":"1-1"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80877466","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 : 2015-12-01DOI: 10.1109/INTELCIS.2015.7397255
Loubna Ahmed, Salma Hamdy, Doaa Hegazy, Taha El-Arif
Augmented Reality (AR) has recently evolved and one of its evolutions is mobile AR. A key point of mobile AR is being reactive, which imposes real-time constraints. Hence, developing and improving interaction methods for AR have gained a wide interest in the past few years with the massive growth of mobile technology. In this paper, we introduce state-of-the-art interaction techniques for mobile AR, categorized into tangible and intangible as well as a comparative study between them. According to the results of the studied techniques, tangible techniques proved to be easier for users whereas intangible techniques are more engaging. As a result, intangible techniques need more research and enhancements.
{"title":"Interaction techniques in mobile Augmented Reality: State-of-the-art","authors":"Loubna Ahmed, Salma Hamdy, Doaa Hegazy, Taha El-Arif","doi":"10.1109/INTELCIS.2015.7397255","DOIUrl":"https://doi.org/10.1109/INTELCIS.2015.7397255","url":null,"abstract":"Augmented Reality (AR) has recently evolved and one of its evolutions is mobile AR. A key point of mobile AR is being reactive, which imposes real-time constraints. Hence, developing and improving interaction methods for AR have gained a wide interest in the past few years with the massive growth of mobile technology. In this paper, we introduce state-of-the-art interaction techniques for mobile AR, categorized into tangible and intangible as well as a comparative study between them. According to the results of the studied techniques, tangible techniques proved to be easier for users whereas intangible techniques are more engaging. As a result, intangible techniques need more research and enhancements.","PeriodicalId":6478,"journal":{"name":"2015 IEEE Seventh International Conference on Intelligent Computing and Information Systems (ICICIS)","volume":"123 2 1","pages":"424-433"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80215791","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 : 2015-12-01DOI: 10.1109/INTELCIS.2015.7397187
P. Kervalishvili
In the last decade quantum information theory and technology evolve and show their great potential. There are a set of problems for which it's more efficient and even not possible with classical communication to solve than with quantum equivalent. The best known example is Quantum Key Distribution, though there are quantum non-locality (entanglement), quantum teleportation, communication complexity and many more. Quantum communication relies on some phenomenon like entanglement which gives plenty of opportunities, but at the same time it's very tricky. Present knowledge lets us define entanglement as a property of quantum system when two or more objects are linked together (quantum states).
{"title":"Quantum information technology: Theory and applications","authors":"P. Kervalishvili","doi":"10.1109/INTELCIS.2015.7397187","DOIUrl":"https://doi.org/10.1109/INTELCIS.2015.7397187","url":null,"abstract":"In the last decade quantum information theory and technology evolve and show their great potential. There are a set of problems for which it's more efficient and even not possible with classical communication to solve than with quantum equivalent. The best known example is Quantum Key Distribution, though there are quantum non-locality (entanglement), quantum teleportation, communication complexity and many more. Quantum communication relies on some phenomenon like entanglement which gives plenty of opportunities, but at the same time it's very tricky. Present knowledge lets us define entanglement as a property of quantum system when two or more objects are linked together (quantum states).","PeriodicalId":6478,"journal":{"name":"2015 IEEE Seventh International Conference on Intelligent Computing and Information Systems (ICICIS)","volume":"56 1","pages":"1-2"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81278109","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 : 2015-12-01DOI: 10.1109/INTELCIS.2015.7397197
Vera G. Meister, Jonas Jetschni
The challenges in IT management are growing in all kinds of organizations. Even small and medium ones are faced with an accelerating variety and disparity of IT services as serious resources, infrastructural elements, as well as outputs of essential business processes. A proved approach to cope with such challenges is a sustainable service orientation; and one reasonable starting point may be an IT service catalog as central information system for all user groups within and outside the organization. The paper describes a project for developing a semantic-web-based IT service catalog in a public university in Germany, starting from the initial situation, moving to requirements and solution space analysis, and finally passing over to the successful development of a prototypical implementation. Along that process, organizational and technical preconditions and decisions, lessons learned, as well as issues and opportunities for further work are discussed.
{"title":"Towards a semantic information system for IT services","authors":"Vera G. Meister, Jonas Jetschni","doi":"10.1109/INTELCIS.2015.7397197","DOIUrl":"https://doi.org/10.1109/INTELCIS.2015.7397197","url":null,"abstract":"The challenges in IT management are growing in all kinds of organizations. Even small and medium ones are faced with an accelerating variety and disparity of IT services as serious resources, infrastructural elements, as well as outputs of essential business processes. A proved approach to cope with such challenges is a sustainable service orientation; and one reasonable starting point may be an IT service catalog as central information system for all user groups within and outside the organization. The paper describes a project for developing a semantic-web-based IT service catalog in a public university in Germany, starting from the initial situation, moving to requirements and solution space analysis, and finally passing over to the successful development of a prototypical implementation. Along that process, organizational and technical preconditions and decisions, lessons learned, as well as issues and opportunities for further work are discussed.","PeriodicalId":6478,"journal":{"name":"2015 IEEE Seventh International Conference on Intelligent Computing and Information Systems (ICICIS)","volume":"4 1","pages":"58-65"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81701636","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 : 2015-12-01DOI: 10.1109/INTELCIS.2015.7397212
Alaa El-Din Mohamed, Mohammed Abdel-Megeed Salem, Doaa Hegazy, Howida A. Shedeed
Liver segmentation is a difficult process due to wide variability of livers shapes and sizes between patients and the intensity similarity between the liver and other organs. Liver segmentation from abdominal Computed Tomography (CT) images is very useful in many diagnostic and surgical processes. It is the essential step in many clinical applications. Medical decisions are rarely taken without the use of imaging technology such as CT, Magnetic Resonance Imaging (MRI), or Ultrasound Imaging (US). In this paper, an automated probabilistic-based framework for liver segmentation from abdominal CT images is presented. The framework consists of four stages; thresholding stage, superpixels construction stage, Bayesian network construction stage and region merging stage. We train and validate our model using 20 clinical volumes. We use the MICCAI dataset (Medical Image Computing and Computer Assisted Intervention for Liver Segmentation). MICCAI dataset is used in more than 90 researches.
{"title":"Probablistic-based framework for medical CT images segmentation","authors":"Alaa El-Din Mohamed, Mohammed Abdel-Megeed Salem, Doaa Hegazy, Howida A. Shedeed","doi":"10.1109/INTELCIS.2015.7397212","DOIUrl":"https://doi.org/10.1109/INTELCIS.2015.7397212","url":null,"abstract":"Liver segmentation is a difficult process due to wide variability of livers shapes and sizes between patients and the intensity similarity between the liver and other organs. Liver segmentation from abdominal Computed Tomography (CT) images is very useful in many diagnostic and surgical processes. It is the essential step in many clinical applications. Medical decisions are rarely taken without the use of imaging technology such as CT, Magnetic Resonance Imaging (MRI), or Ultrasound Imaging (US). In this paper, an automated probabilistic-based framework for liver segmentation from abdominal CT images is presented. The framework consists of four stages; thresholding stage, superpixels construction stage, Bayesian network construction stage and region merging stage. We train and validate our model using 20 clinical volumes. We use the MICCAI dataset (Medical Image Computing and Computer Assisted Intervention for Liver Segmentation). MICCAI dataset is used in more than 90 researches.","PeriodicalId":6478,"journal":{"name":"2015 IEEE Seventh International Conference on Intelligent Computing and Information Systems (ICICIS)","volume":"8 1","pages":"149-155"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81803858","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 : 2015-12-01DOI: 10.1109/INTELCIS.2015.7397282
Dalia Elalfy, Walaa K. Gad, R. Ismail
Community question answering sites are gained much popularity in the last few years because of the wide spread of the internet and the facilities that these sites offer in question asking and answering processes. Community question answering sites are here to save the asker's time and effort and make him/her ask in a natural language and get the answer also back in natural language and from experts. To achieve these goals there are many challenges. Some of these challenges are for example, many questions appear to non-experts so we need to direct the questions to experts in the question category and specifying the best answer to a given question and etc. In this paper, we propose a novel model to find the best answer by using features that are based on question and answer content, answer context and the relation between question and its answers. We conducted experiments to train classifiers using our new added features and the accuracy of the best answer prediction result was very promising.
{"title":"Predicting best answer in community questions based on content and sentiment analysis","authors":"Dalia Elalfy, Walaa K. Gad, R. Ismail","doi":"10.1109/INTELCIS.2015.7397282","DOIUrl":"https://doi.org/10.1109/INTELCIS.2015.7397282","url":null,"abstract":"Community question answering sites are gained much popularity in the last few years because of the wide spread of the internet and the facilities that these sites offer in question asking and answering processes. Community question answering sites are here to save the asker's time and effort and make him/her ask in a natural language and get the answer also back in natural language and from experts. To achieve these goals there are many challenges. Some of these challenges are for example, many questions appear to non-experts so we need to direct the questions to experts in the question category and specifying the best answer to a given question and etc. In this paper, we propose a novel model to find the best answer by using features that are based on question and answer content, answer context and the relation between question and its answers. We conducted experiments to train classifiers using our new added features and the accuracy of the best answer prediction result was very promising.","PeriodicalId":6478,"journal":{"name":"2015 IEEE Seventh International Conference on Intelligent Computing and Information Systems (ICICIS)","volume":"18 1","pages":"585-590"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87915234","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 : 2015-12-01DOI: 10.1109/INTELCIS.2015.7397252
M. Moubarak, A. Elbayoumy, M. Megahed, Ahmed A. Abd Elhafez
BGP control mechanism has been offered to be engaged with the existing inter-domain routing protocol (BGP) to be able to fulfill and manage the internet scalability demands of bandwidth, services, applications, technologies and off course users. This paper focused on the key features that should be offered by an intelligent mechanism to handle the internet traffic in smarter manner by automatically redistributes the traffic over the multihomed links and considers link utilization in routing process. Significant enhancements in network performance has been shown after using the developed mechanism and this offers an optimum utilization of the available bandwidth and keeps the performance parameters within acceptable ranges as well as the traffic over different links within the links capacity.
{"title":"Design and simulation of novel BGP control mechanism with network performance parameters utilization and latency","authors":"M. Moubarak, A. Elbayoumy, M. Megahed, Ahmed A. Abd Elhafez","doi":"10.1109/INTELCIS.2015.7397252","DOIUrl":"https://doi.org/10.1109/INTELCIS.2015.7397252","url":null,"abstract":"BGP control mechanism has been offered to be engaged with the existing inter-domain routing protocol (BGP) to be able to fulfill and manage the internet scalability demands of bandwidth, services, applications, technologies and off course users. This paper focused on the key features that should be offered by an intelligent mechanism to handle the internet traffic in smarter manner by automatically redistributes the traffic over the multihomed links and considers link utilization in routing process. Significant enhancements in network performance has been shown after using the developed mechanism and this offers an optimum utilization of the available bandwidth and keeps the performance parameters within acceptable ranges as well as the traffic over different links within the links capacity.","PeriodicalId":6478,"journal":{"name":"2015 IEEE Seventh International Conference on Intelligent Computing and Information Systems (ICICIS)","volume":"11 1","pages":"405-409"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88151950","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 : 2015-12-01DOI: 10.1109/INTELCIS.2015.7397234
Jiri Blahuta, P. Čermák, Tomás Soukup, Jiri Martinu, Pavla Vecerkova
This paper is focused on digital image analysis of B-MODE ultrasound images. Our study is specialized in transcranial B-images in neurology. We have developed an algorithm in MATLAB which is used to finding echogenicity level in substantia nigra to detection of Parkinson's Disease. The algorithm was also contemporaneously tested and verified for nucleus raphe echogenicity analysis. In addition, we want to use the algorithm on Xilinx Kintex-7 FPGA DSP Development Kit to create an independent solution. Up to the present we have an experimental solution focused on interconnection of the kit with MATLAB and use the computing core with this kit. Xilinx Kintex-7 FPGA DSP Development Kit represents a complex hardware solution to effective FPGA implementation.
{"title":"An algorithm to echogenicity level identification on medical B-images and its applicability on FPGA platform","authors":"Jiri Blahuta, P. Čermák, Tomás Soukup, Jiri Martinu, Pavla Vecerkova","doi":"10.1109/INTELCIS.2015.7397234","DOIUrl":"https://doi.org/10.1109/INTELCIS.2015.7397234","url":null,"abstract":"This paper is focused on digital image analysis of B-MODE ultrasound images. Our study is specialized in transcranial B-images in neurology. We have developed an algorithm in MATLAB which is used to finding echogenicity level in substantia nigra to detection of Parkinson's Disease. The algorithm was also contemporaneously tested and verified for nucleus raphe echogenicity analysis. In addition, we want to use the algorithm on Xilinx Kintex-7 FPGA DSP Development Kit to create an independent solution. Up to the present we have an experimental solution focused on interconnection of the kit with MATLAB and use the computing core with this kit. Xilinx Kintex-7 FPGA DSP Development Kit represents a complex hardware solution to effective FPGA implementation.","PeriodicalId":6478,"journal":{"name":"2015 IEEE Seventh International Conference on Intelligent Computing and Information Systems (ICICIS)","volume":"24 1","pages":"281-287"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84167870","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 : 2015-12-01DOI: 10.1109/INTELCIS.2015.7397201
R. Nina, Taraninko Yurii
Simulation Model for the Decision-Making Support of the Human-Machine Systems Operator was developed. The term of operator's professional confidence as an index of the operator's ability to maintain or for a certain time lead to a stabile state of the Human-Machine Systems by performing the motor operator activity as the final component of the implementation of the decision was proposed. The motor operator's activity speed typed classification was developed. Algorithm and tool for the identification of the motor operator's activity speed of the Human-Machine Systems were offered. The Simulation Experiment Results were presented. The ways of the Simulation Model industrial realization and implementation as part of the real Automated Decision Support System were formulated.
{"title":"Simulation Model of the Decision-Making Support for Human-Machine Systems Operators","authors":"R. Nina, Taraninko Yurii","doi":"10.1109/INTELCIS.2015.7397201","DOIUrl":"https://doi.org/10.1109/INTELCIS.2015.7397201","url":null,"abstract":"Simulation Model for the Decision-Making Support of the Human-Machine Systems Operator was developed. The term of operator's professional confidence as an index of the operator's ability to maintain or for a certain time lead to a stabile state of the Human-Machine Systems by performing the motor operator activity as the final component of the implementation of the decision was proposed. The motor operator's activity speed typed classification was developed. Algorithm and tool for the identification of the motor operator's activity speed of the Human-Machine Systems were offered. The Simulation Experiment Results were presented. The ways of the Simulation Model industrial realization and implementation as part of the real Automated Decision Support System were formulated.","PeriodicalId":6478,"journal":{"name":"2015 IEEE Seventh International Conference on Intelligent Computing and Information Systems (ICICIS)","volume":"13 1","pages":"81-87"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87303122","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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