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2nd international conference on computer science and Applications (CSA)

作者： Li, Meng-ting Li, Xiang Yin, Jian Sun Yat Sen Univ Sch Informat Sci & Technol Guangzhou Peoples R China

ISBN: (纸本)9781479999613

Estimating the tolerable waiting time of a passenger waiting for a vacant taxi is a challenging task in the field of Intelligent Transportation system. Different from existing methods for estimating the waiting time, the proposed algorithm focus on the waiting time passengers acceptable, and there is no research on this issue as far as knows. As fuzzy logic is proved to be well suited to deal with uncertainties and human perception, and it has been widely used to control the traffic signal in recent years, this paper proposes a novel estimating algorithm of the tolerable waiting time by using fuzzy logic. Based on the analysis, we take urgent degree, walking distance and the optimal ways of public transportation as fuzzy variables, and provide the corresponding methods for obtaining the values. Extensive experiments clearly validate the effectiveness of the proposed algorithms.

关键词： waiting time quality of service intelligent transportation system taxi business

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Study on Supply Chain Contracts with Asymmetric Information under Disruptions

Study on Supply Chain Contracts with Asymmetric Information ...

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international conference on Industrial Technology and Management science(ITMS 2015)

作者： Pin ZHUANG Jye Chyi LU College of Economics and Management Nanjing University of Aeronautics and Astronautics School of Industrial and Systems Engineering Georgia Institute of Technology

This paper studies supply chain contract models with asymmetric information when the retailer's cost is disrupted. While the retailer faces a non-linear demand function, supply chain contract models under asymmetric information are proposed in a regular scenario. When the retailer's cost distribution is fluctuated by disruptions, the new adjusted policies as emergency strategies of supply chain under asymmetric information are obtained, which can still coordinate the supply chain under disruptions. Using numerical methods, the impact of the cost disruptions on decisions about optimal order quantity and system expected profit are analyzed.

关键词： Supply Chain Contract Disruption Management Asymmetric Information

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Effective classification of HEp-2 cells using fuzzy texture descriptors

Effective classification of HEp-2 cells using fuzzy texture ...

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IEEE international conference on Fuzzy systems (FUZZ-IEEE)

作者： Gerald Schaefer Niraj P. Doshi Department of Computer Science Loughborough University Loughborough U.K. dMacVis Research Lab India

ISBN: (纸本)9781509006274

Indirect immunofluorescence (IIF) imaging is an important technique for detecting antinuclear antibodies in HEp-2 cells and therefore employed in the diagnosis of autoimmune diseases and other important pathological conditions involving the immune system. HEp-2 cells are often categorised into six groups (homogeneous, fine speckled, coarse speckled, nucleolar, cytoplasmic, and centromere cells), which in turn give indications on different autoimmune diseases. While traditionally this classification is performed manually thus representing a subjective and laborous task, recently there is significant interest in computer vision based approaches to automatically categorise HEp-2 cell images and thus provide an objective and fast alternative. Various algorithms have been proposed for this purpose in which texture information often plays a dominant role. In this paper, we also employ texture descriptors for automated classification of HEp-2 cells but choose descriptors that allow to take into account the fuzzy nature of the images and the noise present in them. In particular, we employ a fuzzy version of the well known local binary pattern (LBP) paradigm, coupled with support vector machine (SVM) based classification. We benchmark our approach on the ICPR 2012 HEp-2 contest benchmark dataset and show it to provide excellent classification performance, outperforming not only conventional LBP features but also all algorithms that were entered in the competition as well as the performance of a human expert.

关键词： Feature extraction Support vector machines Shape Histograms Robustness Discrete cosine transforms Immune system

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Research and Implementation of Data Providing Platform Based on Internet of Things

Research and Implementation of Data Providing Platform Based...

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2016 international conference on Mechatronics Engineering and Information Technology(ICMEIT 2016)

作者： Huan Gao Bo Cheng State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications

ISBN: (纸本)9781510829039

With the development of Internet of things, multi-source heterogeneous data of a large number of sensors exist in the Internet of things. How to refine and encapsulate these heterogeneous data is one of the bottlenecks in the development of the Internet of things. In this paper, the data platform uses the Spring MVC framework as the basis. The data providing platform extracts the sensor data from the database to encapsulate and transmit, which can reduce the coupling between the application layer and the underlying layer. The data providing platform provides HTTP access interfaces for the upper layer applications, the lightweight web based server push service, and publish/subscription system for multiple types of terminals. The platform not only provides multiple dimension data interfaces for the upper layer applications, but also has a high scalability. The nginx server is used to achieve the load balance, which can expand the number of servers flexibly.

关键词： Internet of things data providing platform push service publish/subscribe system load balance

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Dynamic Analysis of the Umbilical Cable for Launch & Recovery system of Seafloor Drill

Dynamic Analysis of the Umbilical Cable for Launch & Recover...

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international conference on Industrial Technology and Management science(ITMS 2015)

作者： Y.P.JIN B.Y.WAN D.S.LIU Y.D.PENG College of Mechanical and Electrical Engineering Central South University Hunan Province Engineering Laboratory of Marine Mineral Resources Exploration Equipment and Technology Hunan University of Science and Technology

A launch & recovery system of a seafloor drill is chosen as the study object, the nonlinear coupling mechanism among the movement of the ship, the umbilical cable, and the seafloor drill caused by irregular wave is investigated, the lumped mass method is used to establish the dynamic model of launch & recovery system of seafloor drill that considers the influences of the seawater resistance and the elastic deformation of the umbilical cable. Under different sea state conditions, the movement of the seafloor drill and the tension of the umbilical cable are calculated and analyzed. The research results showed that as sea state condition increasing, the amplitude of the movement of the seafloor drill and the tension of the umbilical cable will increase. The variation of the tension of the umbilical cable may lead to the umbilical cable failure and fracture. The analysis results can provide theoretical guidance for the studying of heave compensation and the constant tension automatic control of the launch & recovery system of seafloor drill.

关键词： seafloor drill umbilical cable lumped mass method dynamic analysis

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Measurement of Two-dimension Justice Belief: Retribution and Balance

Measurement of Two-dimension Justice Belief: Retribution and...

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2015 international conference on Social science,Education Management and Sports Education(SSEMSE 2015)

作者： S.TAO C.C.YUAN Y.XU Institute of Applied Psychology School of Ideological and Political Education China University of Geosciences School of Psychology Beijing Normal University

Living in an unpredictable and uncontrollable unjust world would be unbearably threatening, so people prefer to believe that the social system is fair, legitimate, and justifiable. To explore the connotation of justice belief, several methods are used. First, 30 participants from various vocations are interviewed to clarify the concept. Second, the scale of justice belief is developed;exploratory factor analysis is conducted with 300 participants. Third, to evaluate the reliability and validity, retest, confirmatory factor analysis and scale of justice perception are conduct with 150 participants. Results show that, justice belief is composed by two dimensions, which are retribution justice belief(RJB) and balance justice belief(BJB). RJB means believing that the outcomes are fair and just. BJB means believing that the whole social system is balance. The scale presents good internal consistency, test-retest reliability, construct validity, convergent validity and discriminant validity.

关键词： Justice belief retribution justice belief system balance justice belief justice perception

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EDISON Data science Framework: A Foundation for Building Data science Profession for Research and Industry

EDISON Data Science Framework: A Foundation for Building Dat...

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IEEE international conference on Cloud Computing Technology and science (CloudCom)

作者： Yuri Demchenko Adam Belloum Wouter Los Tomasz Wiktorski Andrea Manieri Holger Brocks Jana Becker Dominic Heutelbeck Matthias Hemmje Steve Brewer University of Amsterdam The Netherlands Engineering Ingegneria Informatica S.p.A. Italy University of Southampton UK University of Stavanger Norway FTK ─ Research Institute for Telecommunication and Cooperation Germany

ISBN: (纸本)9781509014460

Data science is an emerging field of science, which requires a multi-disciplinary approach and should be built with a strong link to emerging Big Data and data driven technologies, and consequently needs re-thinking and re-design of both traditional educational models and existing courses. The education and training of Data Scientists currently lacks a commonly accepted, harmonized instructional model that reflects by design the whole lifecycle of data handling in modern, data driven research and the digital economy. This paper presents the EDISON Data science Framework (EDSF) that is intended to create a foundation for the Data science profession definition. The EDSF includes the following core components: Data science Competence Framework (CF-DS), Data science Body of Knowledge (DS-BoK), Data science Model Curriculum (MC-DS), and Data science Professional profiles (DSP profiles). The MC-DS is built based on CF-DS and DS-BoK, where Learning Outcomes are defined based on CF-DS competences and Learning Units are mapped to Knowledge Units in DS-BoK. In its own turn, Learning Units are defined based on the ACM Classification of computer science (CCS2012) and reflect typical courses naming used by universities in their current programmes. The paper provides example how the proposed EDSF can be used for designing effective Data science curricula and reports the experience of implementing EDSF by the Champion Universities that cooperate with the EDISON project.

关键词： Data science Data models Biological system modeling Training Business Industries

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Exploiting User's Social Network: A Novel Method to Recommend Most Attractive and Targeted service 4

Exploiting User's Social Network: A Novel Method to Recommen...

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4th international conference on computer science and Network Technology (ICCSNT)

作者： Li, Xiu Yan, Xinwei Xie, Lulu Men, Chang Tsinghua Univ Dept Automat Beijing Peoples R China

ISBN: (纸本)9781467381734

The rapid development of the Internet and e-commerce has accumulated numerous data about products, services and customers, which contains meaningful information that recommender system can utilize to realize a more accurate recommendation. In daily life, it is nature for users to seek suggestion from a friend and the more professional and intimated the friend is, the more impact the suggestion has on the user's final decision. Inspired by this phenomenon, we develop a recommendation approach based on social trust network. In this paper, we take advantage of homogeneous effect in trust relations to calculate user similarities and build a personal weighted trust work. A trust propagation mechanism is proposed to attain trustworthy users and then we use a dynamic recommendation algorithm based on random walk model to achieve accurate recommendation. In the end, several comparing experiments are conducted to demonstrate the improvement of our recommendation method.

关键词： Social trust network Trust propagation mechanism Random walk Recommender system

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Analysis of Evolution and Research Focus in Chinese Psychiatry Field

Analysis of Evolution and Research Focus in Chinese Psychiat...

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2016 international conference on Computational Modeling, Simulation and Applied Mathematics (CMSAM 2016)

作者： Xun-yi REN Pan ZHANG College of Computer Nanjing University Posts and Telecommunications

While a large number of representative scientists devoted in the field of psychiatry, their scientific research productions came into being. We selected all related 982 documents from science Citation Index Expanded(SCI-Expanded) in Web of science during from 1983 to 2012 and utilized the information visualization software(Cite Space Ⅲ) to conduct co-citation and hierarchal clustering analysis to mapping knowledge domain of development and evolution. From the evolution in Chinese psychiatry field, there were divided into two stages. Through hierarchal clustering analysis, the research foci in Chinese psychiatry field were mainly mental health service, diagnostic criteria of mental disorder and psychopathology and neuropathology of mental disorder, ect. Based on the results, the evolution and research foci in Chinese psychiatry field not only help researchers find the research direction and the gap with the world, but also offer reasonable suggestions as the basis of making polices to guide psychiatry research and provide scientific evidences on preventing and curing mental disorder effectively.

关键词： Chinese psychiatry Evolution Research focus Visualization

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An Integrated Example of Laboratories as a service into Learning Management systems

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international JOURNAL OF ONLINE ENGINEERING 2016年第9期12卷 32-39页

作者： Tobarra, Ll. Ros, S. Pastor, R. Hernandez, R. Castro, M. Al-Zoubi, A. Dmour, M. Robles-Gomez, A. Caminero, A. C. Cano, J. Spanish Univ Distance Educ UNED Control & Commun Syst Dept Madrid 28040 Spain Spanish Univ Distance Educ UNED Dept Elect Elect & Control Engn Madrid 28040 Spain Princess Sumaya Univ Technol Amman Jordan Univ Jordan Amman Jordan

Remote practical experiences are nowadays essential in the context of distance education, because students cannot use face-to-face traditional laboratories. These remote laboratories can be used by faculty within virtual classrooms, so that students can carry out their on-line experiments in a ubiquitous way - from anywhere and at any time. But these activities cannot be isolated from the learning process of students. Therefore, the services provided by a remote laboratory must be integrated into the institutional Learning Management system (LMS), in order to be employed during the whole learning process. In this work, a fully-functional example of the integration of service-oriented remote laboratories into a LMS is presented, where the Moodle platform has been chosen as a representative LMS.

关键词： Laboratories as a service (LaaS) Renewable Energy Remote Laboratories E-learning Learning Management system (LMS)

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