2016 International Conference on Computational Science and Computational Intelligence (CSCI)最新文献

{"title":"Asynchronous Multicore Processors, Green Computing, Efficiency, Parallel Architectures, and Eco-Friendly","authors":"T. Mogale, M. Esiefarienrhe, N. Gasela","doi":"10.1109/CSCI.2016.0273","DOIUrl":"https://doi.org/10.1109/CSCI.2016.0273","url":null,"abstract":"Technology needs to be eco-friendly most importantly microchips need to be redesigned and manufactured in an eco-friendly manner since they are the heart of all technology. With a look to the future its not hard for one to conclude that silicon will meet its fate. Wise men said the best time to plant a tree was 20 years ago and the second best time is now. Silicon microchips have been the primary contributor to non eco-friendly technology because the energy needed to manufacture silicon microchips is disproportional their size. The silicon chip has been around for many years but it has brought nothing but trouble to the environment. All electronics using silicon chips also inherit this footprint. A computer for example contains hundreds if not thousand silicon microchips and research has proven that the total energy use embodied by the manufacturing process of computers is 81 to 19 percent when compared to their total operation life cycle energy use. This clearly suggests that there needs to be a new approach for doing things differently. There needs to be another approach which is eco-friendly and has minimal harm to the environment. To contribute towards this bigger cause, we propose in this paper Asynchronous Multicore Microprocessors (AMM) with their respective parallel architectures as a novel approach to realizing Eco-friendly Green Computing.","PeriodicalId":186778,"journal":{"name":"2016 International Conference on Computational Science and Computational Intelligence (CSCI)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115046229","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}

{"title":"Machine Learning Application to Predict the Risk of Coronary Artery Atherosclerosis","authors":"S. Nikan, F. Gwadry-Sridhar, Michael Bauer","doi":"10.1109/CSCI.2016.0014","DOIUrl":"https://doi.org/10.1109/CSCI.2016.0014","url":null,"abstract":"Coronary artery disease is the leading cause of death in the world. In this research, we propose an algorithm based on the machine learning techniques to predict the risk of coronary artery atherosclerosis. A ridge expectation maximization imputation (REMI) technique is proposed to estimate the missing values in the atherosclerosis databases. A conditional likelihood maximization method is used to remove irrelevant attributes and reduce the size of feature space and thus improve the speed of the learning. The STULONG and UCI databases are used to evaluate the proposed algorithm. The performance of heart disease prediction for two classification models is analyzed and compared to previous work. Experimental results show the improved accuracy percentage of risk prediction of our proposed method compared to other works. The effect of missing value imputation on the prediction performance is also evaluated and the proposed REMI approach performs significantly better than conventional techniques.","PeriodicalId":186778,"journal":{"name":"2016 International Conference on Computational Science and Computational Intelligence (CSCI)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116322235","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}

{"title":"Using Build and Runtime Information for Student Adaptive Support","authors":"Erik Kral, Petr Capek","doi":"10.1109/CSCI.2016.0264","DOIUrl":"https://doi.org/10.1109/CSCI.2016.0264","url":null,"abstract":"This paper proposes a study focused on Automatic Adaptive Support materials for students in the tuition of programming courses. The support materials, based on real-time build and runtime statistics, include suggestions for successful solutions to similar errors and tasks. A methodology and an extension for a selected Integrated Development Environment is proposed and experiments will be run with students in programming courses to evaluate this tool.","PeriodicalId":186778,"journal":{"name":"2016 International Conference on Computational Science and Computational Intelligence (CSCI)","volume":"148 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123432587","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}

{"title":"A Data Cube Representation for Efficient Querying and Updating","authors":"V. Phan-Luong","doi":"10.1109/CSCI.2016.0085","DOIUrl":"https://doi.org/10.1109/CSCI.2016.0085","url":null,"abstract":"This paper presents an approach to data cube representation that allows for efficient computation of query response and data cube update. The representation is based on (i) a recursive construction of the power set of the fact table dimension scheme and (ii) a prefix tree structure for the compact storage of cuboids. Experimental results on large datasets show that the approach is efficient for data cube query and incremental update.","PeriodicalId":186778,"journal":{"name":"2016 International Conference on Computational Science and Computational Intelligence (CSCI)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123925141","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}

{"title":"GIS Map Encryption Algorithm for Drone Security Based on Geographical Features","authors":"Giao Pham Ngoc, Kwang-Seok Moon, Suk-Hwan Lee, Ki-Ryong Kwon","doi":"10.1109/CSCI.2016.0279","DOIUrl":"https://doi.org/10.1109/CSCI.2016.0279","url":null,"abstract":"GIS map is used in Drone applications widely. In some cases, GIS map data is necessary to be protected from attacks. This paper present an encryption algorithm for GIS map data in Drone security. The proposed algorithm is based on the geographical features of GIS map data. Geometric objects are extracted from GIS map data to perform selective encryption in the frequency domain of discrete cosine transform. Experimental results verified that the entire map is changed after encryption.","PeriodicalId":186778,"journal":{"name":"2016 International Conference on Computational Science and Computational Intelligence (CSCI)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126182988","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}

{"title":"Incremental Self-Evolving Framework for Agent-Based Simulation","authors":"Dong-oh Kang, J. Bae, Euihyun Paik","doi":"10.1109/CSCI.2016.0282","DOIUrl":"https://doi.org/10.1109/CSCI.2016.0282","url":null,"abstract":"This paper presents a self-evolving scheme of an agent-based simulation to improve agent simulation models to fit real world data in an incremental way without human intervention by machine learning techniques. The proposed method can solve problems of traditional optimization methods of the agent-based simulation by the incremental optimization of agent simulation models. In this paper, we introduce requirements, the structure and internal functions of the self-evolving agent-based simulation framework for social simulation.","PeriodicalId":186778,"journal":{"name":"2016 International Conference on Computational Science and Computational Intelligence (CSCI)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127370927","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}

{"title":"An Approach of Locating Korean Vehicle License Plate Based on Mathematical Morphology and Geometrical Features","authors":"I. Ullah, H. Lee","doi":"10.1109/CSCI.2016.0162","DOIUrl":"https://doi.org/10.1109/CSCI.2016.0162","url":null,"abstract":"In a vehicle license plate identification system, plate region detection is the crucial step before the ultimate recognition. In most of the traffic-related applications such as searching of stolen vehicles, road traffic monitoring, airport gate monitoring, speed checking and parking access control. This paper is focused on license plate detection, license plate detection in this paper is based on mathematical morphology and considers features like license plate width, height, ratio, and angle. The advantage of the proposed system is that it works for all types of license plates which differ in size and shapes. The proposed system archived promising results.","PeriodicalId":186778,"journal":{"name":"2016 International Conference on Computational Science and Computational Intelligence (CSCI)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130063432","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}

{"title":"The Specification of New Technology to Support Assisted Living (AL) from a Biopsychosocial, Stakeholder Relationship and Ethics Perspective","authors":"J. Cahill, S. McLoughlin, Sean Wetherall","doi":"10.1109/CSCI.2016.0261","DOIUrl":"https://doi.org/10.1109/CSCI.2016.0261","url":null,"abstract":"This paper reports on early stage human factors research undertaken as part of an industry/academia collaboration to advance new assisted living technology for elders aged between 55 and 90 years. It is argued that the provision of person centered assistive living (AL) technology – predicated on (1) biopsychosocial models of well-being, (2) necessary transformations in the social, information and healthcare process relationships between seniors and relevant actors in their personal and professional community and (3), rights based frameworks (ethics), has the potential to improve an older person's life physically, socially and psychologically. The proposed technology will be optimized for different contexts, including private/smart homes, residential/care homes, palliative care and assisted living communities.","PeriodicalId":186778,"journal":{"name":"2016 International Conference on Computational Science and Computational Intelligence (CSCI)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129062110","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}

{"title":"Health Bio Info Technomics: Strategy for Clinical Practice at the Point of Care","authors":"G. Tritto, A. Marsh, D. Carroll, Alice Karoubi Nordon, M. Tritto","doi":"10.1109/CSCI.2016.0023","DOIUrl":"https://doi.org/10.1109/CSCI.2016.0023","url":null,"abstract":"In 2008 the WABT Academy (NGO founded under the aegis of UNESCO in Paris in 1997), has promoted the launching of the WABIT – World Association of Bio Info Technologies – World Association of Bio Info Technomics (French Denomination \"Association Mondiale des Sciences BioInformatiques et BioTechnologiques\", Italian Denomination – \"Associazione Mondiale delle Scienze BioInformatiche e BioTechnologiche\") in Global Health Economy. The Design and the Scope of this new Organization is to bridge scientific and technical communities on the Convergence of BioInformatics with BioTechnologies as applied to Bio and Human Genetics and Stem Cells for Gene and Cell Therapy. This will facilitate the generation of new Knowledge and to propose Innovative Solutions in the Field of Human Health Medicine, especially in Preventative Medicine and in Regenerative and Personalized Therapies, as well as the furtherance of Global Health Policies. The New Advances in Researches supporting implementation in Regenerative Medicine are based on the Capability to induce, produce and extract Autologous Materials, as fluids, molecules, Cells and Tissues from the Donor to be reinjected in the same Recipient, after processing, amplification and enrichment. Due to the multiple utilization of the samples for medium term treatments including for cross-matching and genetic data-base screening, new Models of Clinical Hubs can be designed, based on the Integration of BioBanking and Clinical Regenerative Centers for Therapies at the Point of Care. The use of Autologous Adult Stem Cells, as Fat Tissue derived ASCs (Adipose Tissue Stem Cells) and ADRCs (Adipose - Derived Regenerative Cells), generically indicated as AMSCs, offers, at the present time, a strong ground to realize Autologous Adult Stem Cell Therapy and Tissue Engineering in Healthy and Non-Healthy Donors/Recipients in relevant fields of Application in Medicine and Surgery. These Relevant New Models of Translational Clinical Research Projects and Trials will support in the next future the Implementation of Innovative HealthCare Policies.","PeriodicalId":186778,"journal":{"name":"2016 International Conference on Computational Science and Computational Intelligence (CSCI)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132485869","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}

{"title":"Quantifying the Anthropogenic Heat in Urban Areas Using Thermal Images","authors":"A. Anjomshoaa, Fábio Duarte, Ricardo Alvarez, R. Britter, C. Ratti","doi":"10.1109/CSCI.2016.0128","DOIUrl":"https://doi.org/10.1109/CSCI.2016.0128","url":null,"abstract":"Around 65% of heat produced by car engines, whether gasoline or diesel, is wasted and released into the urban environment. The anthropogenic heat contribution of cars to the ambient environment makes them a major source of low-grade energy that has direct and indirect health impacts on pedestrians. Whereas there is a myriad of research that highlights the impact of cars on greenhouse gas emission and pollution indicators, the emitted heat of the cars has remained widely unexplored. In this paper, we present a novel method based on thermal images for analysis of traffic flow in urban roads as well as counting number of people for selected areas. To this end, we use infrared camera sensors to capture the thermal images and apply a Radon transform based method to summarize the data and assess the required information from time series of thermal images. As such, we use a single sensor for our analysis, which is both privacy preserving and not sensitive to visible light condition of the target areas.","PeriodicalId":186778,"journal":{"name":"2016 International Conference on Computational Science and Computational Intelligence (CSCI)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130425329","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}