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using ontology to establish social context and support social reasoning

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5th international Working conference on Intelligent Virtual Agents, IVA 2005

作者： Kao, Edward Chao-Chun Chang, Paul Hsueh-Min Chien, Yu-Hung Soo, Von-Wun Institute of Information and System Applications National Tsing Hua University 101 Section 2 Guangfu Road 300 Hsinchu Taiwan Department of Computer Science National Tsing Hua University 101 Section 2 Guangfu Road 300 Hsinchu Taiwan Department of Computer Science National University of Kaohsiung 700 Kaohsiung University Road 811 Kaohsiung Taiwan

ISBN: (纸本)3540287388

Believable agents are required to express human-like characteristics. While most recent research focus on graphics and plan execution, few concentrate on the issue of flexible interactions by reasoning about social relations. this paper integrates the idea of social constraints with social ontology to provide a machine readable framework as a standard model which can support social reasoning for generic BDI agents. A scenario is illustrated to show how social reasoning can be attained even in different social context. © Springer-Verlag Berlin Heidelberg 2005.

关键词： Artificial intelligence

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A Reputation-based Shared Transport System. A Case Study of E-collaboration in the City of Ambato 5

A Reputation-based Shared Transport System. A Case Study of ...

引用

5th international conference on eDemocracy and eGovernment (ICEDEG)

作者： Sanchez-Paredes, Ana Fernandez-Pena, Felix Urrutia-Urrutia, Pilar Naranjo-Avalos, Hernan Univ Tecn Ambato Fac Ingn Sistemas Elect & Ind Ambato Ecuador

ISBN: (纸本)9781538625194

the governments of cities like Ambato face difficult geographic conditions for establishing a clean and efficient transportation system. this paper shows the results of 1) a theoretical study that measured the expected incidence of a reputation-based shared transportation system for e-collaboration and social welfare in a medium-size community and 2) an experimental evaluation of the effectiveness of a value-based reputation system with malicious user detection in such a scenario of e-collaboration. the study was conducted based on economic savings. the theoretical study involved the participation of 185 young citizens and 160 in the experimental evaluation. the theoretical results show that e-collaboration is meant to be successful in a shared transportation system in Ambato providing that trust is guaranteed. the experiment results show that the proposed model made it possible to detect 85% of malicious service consumers and that the satisfaction with the recommendations of the system is pretty high. these results are encouraging for using the proposed method in the implementation of a shared transport system in medium-size cities. therefore, it is assumed that the obtained results are extrapolates to the context of a generic e-collaborative system.

关键词： e-collaboration green government values-based reputation system malicious user detection

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Supporting privacy control and personalized data usage explanations in a context-based adaptive collaboration environment 1

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11th international and interdisciplinary conference on modeling and using context, context 2019

作者： Goram, Mandy Veiel, Dirk Faculty of Mathematics and Computer Science FernUniversität in Hagen Hagen58084 Germany

ISBN: (数字)9783030349745

ISBN: (纸本)9783030349738

the General Data Protection Regulation, e.g., provides the "right of access by the data subject" and demands explanations of data usages, i.e. explanations where and for what purpose personal data is being processed. Supporting this kind of privacy control and related personalized explanations of data usage in context-based adaptive collaboration environments are big challenges. Currently, users cannot retrace the usage and the storage of their personal data in context-based adaptive collaboration environments. We address the aforementioned challenges by developing a context-based adaptive collaboration platform, the CONTact platform, that can be linked to or integrated into different kinds of collaboration environments (e.g., meinDorf55+, a novel community support system for elderly). the CONTact platform supports users with privacy control and personalized explanations of data usages. In this paper we present an excerpt of our extended domain model and two sample situations when privacy control and personalized explanations get relevant. We use a sample ontology that is based on our domain model to illustrate the related processes and rules. using our approach users can control their data usage and are able to get personalized explanations of their data usage in a context-based adaptive collaboration environment. this helps us observing legal regulations, e.g. privacy laws like the GDPR. © Springer Nature Switzerland AG 2019.

关键词： Data privacy

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Adaptive Wavelet Difference Reduction using High-Order context modeling for Embedded Image Compression

Adaptive Wavelet Difference Reduction using High-Order Conte...

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international conference on Information, Communications and Signal Processing

作者： P. Lamsrichan T. Sanguankotchakorn Telecommunication Program Asian Institute of Technology Pathumthani Thailand Asian Institute of Technology Bangkok TH

the new embedded algorithm for wavelet image compression is proposed. the main idea of the algorithm is to use high-order statistical context modeling for significant coefficients prediction by scanning order adaptation of wavelet difference reduction (WDR). the new predefined scanning order, header, preprocessing of all-lowpass coefficients are used together with the scanning order adaptation to improve the rate-distortion performance of the image coder, while retain the important features of the state of the art image coder from original WDR, such as embedded/progressive coding, region of interest support, and support operation on compressed data. the high-order context model used can be fixed or adaptive model. Although at the very beginning state, this technique, using simple fixed model, in PSNR sense, considerably surpasses set partitioning in hierarchical trees (SPIHT) in no arithmetic coding mode for all test images at all bit rates, and also outperforms JPEG2000 in high compression ratio (very low to low bit rate) for many images in the test set

关键词： context modeling Image coding Testing Rate-distortion Bit rate Wavelet transforms Wavelet coefficients Electronic mail PSNR Arithmetic

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Evaluation of computer-tailored motivational messaging in a health promotion context 1

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11th international and interdisciplinary conference on modeling and using context, context 2019

作者： d’Hondt, Jens E. Nuijten, Raoul C. Y. Van Gorp, Pieter M. E. Eindhoven Unitversity of Technology Eindhoven5612 AZ Netherlands

ISBN: (数字)9783030349745

ISBN: (纸本)9783030349738

Persuasive messages have recently been shown to be more effective when tailored to the personality and preferences of the recipient. However, much of the literature on adaptive persuasion has evaluated the effectiveness of persuasive attempts by the direct reactions to those attempts instead of changes on the longer term (e.g. lifestyle changes). Results of this study suggest that adaptive persuasion improves attitudes towards persuasive attempts, but does not necessarily cause a change in longer term behavior. this was found through a randomized controlled trial evaluating the implementation an adaptive persuasive system in a health promotion intervention. this article provides a detailed description of this evaluation and encourages the research community to (1) become more skeptical towards the longer term effectiveness of adaptive persuasive techniques and (2) design more explicitly for longer term changes in behavior. © Springer Nature Switzerland AG 2019.

关键词： Computers

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Social Knowledge to Improve Situation Awareness of Assistance Systems in City Driving 1

引用

5th international conference on Internet of Vehicles (IOV)

作者： Fernandez-Isabel, Alberto Fuentes-Fernandez, Ruben Univ Rey Juan Carlos Mostoles Spain Univ Complutense Madrid Res Grp Agent Based Social & Interdisciplinary Ap Madrid Spain

ISBN: (数字)9783030050818

ISBN: (纸本)9783030050818

City traffic is getting more multi-modal, with a variety of actors and mobility options in mixed spaces. this makes decisions on traffic behaviour and control more complex. Beyond traditionally considered aspects (e.g. traffic state or used vehicle), human aspects (e.g. physical state, displacement goal, or companion), gain increasing relevance. they can greatly modify how people move and interact with others. Introducing social knowledge about human behaviour and context can help to better understand and anticipate the environment and its actions. this paper proposes the development of Social-Aware Driver Assistance Systems (SADASs) for that purpose. A SADAS uses traffic social properties that formalize social knowledge using a template organized around diagrams. the diagrams are compliant with a specific modelling language, which is intended to describe social aspects in a given context. they facilitate the integration of this knowledge with system specifications, and its semi-automated verification both in design and run time. A case study on a distributed obstacle detection system for vehicles extended with social knowledge to anticipate people' behaviour illustrates the approach.

关键词： Multi-modal traffic Mixed space People' behaviour Social knowledge Traffic social property Social-Aware Driver Assistance System

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modeling plants language for definition of L-systems

Modeling plants language for definition of L-systems

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international conference on Intelligent Systems Design and Applications (ISDA)

作者： K. Lukasik E. Hudyma Wroclaw University of Technology Poland

Proper language for formal definition of L-systems is crucial to easy creation, modification and comparison between plant models. this paper introduces special purpose language, which allows effortless description of D0L-systems (simplest class of L-systems) and their extensions (e.g. context-sensitive, parametric productions with probability). the proposed language enables as well specification of high-level model parameters.

关键词： Mathematical model Visualization Stochastic processes Phased arrays Production systems Organisms Graphics Image segmentation context modeling Fractals

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Inferring domain-domain interactions using an extended parsimony model

Inferring domain-domain interactions using an extended parsi...

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5th IEEE international conference on Systems Biology, ISB 2011

作者： Chen, Chen Zhao, Jun-Fei Huang, Qiang Wang, Rui-Sheng Zhang, Xiang-Sun National Center for Mathematics and Interdisciplinary Sciences Institute of Applied Mathematics Academy of Mathematics and Systems Science Beijing 100190 China Department of Physics Pennsylvania State University University Park PA 16802 United States

ISBN: (纸本)9781457716669

High-throughput technologies have produced a large number of protein-protein interactions (PPIs) for different species. As protein domains are functional and structural units of proteins, many computational efforts have been made to identify domain-domain interactions (DDIs) from PPIs. Parsimony assumption is widely used in computational biology as the evolution of the nature is considered as a continuous optimization process. In the context of identifying DDIs, parsimony methods try to find a minimal set of DDIs that can explain the observed PPIs. this category of methods are promising since they can be formulated and solved easily. Besides, researches have shown that they could detect specific DDIs, which is often hard for many probabilistic methods. In this paper, we revisit the parsimony model by presenting two important extensions. First, complex networks as an emerging concept is incorporated as prior knowledge into the parsimony model. With this improvement, the prediction accuracy increases, which to some extent enhances the biological meaning of the common property of complex networks. Second, two randomization tests are designed to show the parsimony nature of the DDIs in mediating PPIs, which corroborates the model validation. © 2011 IEEE.

关键词： Complex networks

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On Analysis and Evaluation of Non-Properly Prepared Teachers' Implication on Students Considering Optical Character Recognition(OCR)(Neural Networks' modeling Approach)

On Analysis and Evaluation of Non-Properly Prepared Teachers...

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5th international Multi-conference on Software, Electronics, Communication and Mechanical Engineering (IMSECME’15);5th international Multi-conference on Chemical, Ecological and Biological Sciences (IMCEBS’15);5th international Multi-conference on Arts, Literature, Management and Economics (IMALME’15)

作者： Hassan Mustafa Computer Eng.Dept. Faculty of Eng.Al-Baha University

this paper addresses an interdisciplinary,interesting,and critical educational phenomenal *** phenomenon related directly to clearness of educational environment affecting enhancement and enlightening of learning/teaching ***,it describes the serious problematic issue associated with implication of non-properly prepared teachers'on students'learning performance(achievement)in ***,the undesired level of improperness mapped into well-known communication term named signal to noise *** the context of communication technology this term abbreviated as SNR or S/N which measures the clarity of the received desired signal through transmission *** Artificial Neural Network(ANN)model adopts feed forward(FF)structure which obeys Kohonen learning law while bits training to recognize three figures having(T,H,and L)shapes via(3X3)*** findings have been obtained after running of a realistic simulation program suggested *** as the relation between value of learning rate parameterhand the Gaussian additive noise power σ to learning data submitted by a non-properly prepared ***,the effect of both parameters on students'there learning achievement and there learning convergence(response time)

关键词： Artificial Neural Networks Models,Learning Performance

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Checklist for Medical Imaging using Artificial Intelligence by Evaluation of Machine Learning Models

Checklist for Medical Imaging using Artificial Intelligence ...

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international conference on Inventive Research in Computing Applications (ICIRCA)

作者： Sanjay Bhatnagar Centre for Interdisciplinary Research in Business and Technology Chitkara University Institute of Engineering and Technology Chitkara University Punjab India

Enhancing Machine Learning (ML)-based methods that resolve unaddressed medical demands necessitates particular concerns for optimum clinical utility. Latest discussions about the visibility, explainability, and repeatability of ML approaches outlined in this study prompted questions about their clinical utility and appropriateness for inclusion in the present frameworks of evidence-based practice. this highlighted piece emphasizes raising clinicians' ML literacy by arming them with the information and resources required to comprehend and objectively assess the clinical studies encompassing ML. Data collection, feature extraction, model specification, and clinical implementation are the four ML building elements evaluated for rigor and repeatability using a checklist. Such checklists are crucial for ML research to be meticulously and firmly evaluated by clinicians who are informed by the domain expertise of the context in which the results will be implemented. they also help to guarantee quality assurance.

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