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  • 51.
    Peng, Cong
    et al.
    Blekinge Tekniska Högskola, Fakulteten för datavetenskaper, Institutionen för kreativa teknologier.
    Guohua, Bai
    Blekinge Tekniska Högskola, Fakulteten för datavetenskaper, Institutionen för kreativa teknologier.
    Flexible System Architecture of PHR to Support Sharing Health Data for Chronic Disease Self-Management2016Inngår i: Global Telemedicine and eHealth Updates: Knowledge Resources Vol. 9, 2016 / [ed] M Jordanova; F Lievens, International Society for Telemedicine & eHealth , 2016, Vol. 9, s. 11-15Konferansepaper (Fagfellevurdert)
    Abstract [en]

    Health data sharing can benefit patients to self-manage the challenging chronic diseases out of hospital. The patient controlled electronic Personal Health Record (PHR), as a tool manages comprehensive health data, is absolutely a good entry point to share health data with multiple parties for mutual benefits in the long-term.

    However, sharing health data from PHR remains challenges. The sharing of health data has to be considered holistically together with the key issues such as privacy, compatibility, evolvement and so on. A PHR system should be flexible to aggregate health data of a patient from various sources to make it comprehensive and up-to-date, should be flexible to share different categories and levels of health data for various utilizations, should be flexible to embed emerging access control mechanisms to ensure privacy and security under different sceneries.

    Therefore, the flexibility of system architecture on the integration of existed and future diversifications is crucial for PHR’s practical long-term usability. This paper discussed the necessity and some advice of possible solution, by the reviewed literatures and the experience from a previous study, of flexible PHR system architecture on the mentioned aspects.

  • 52.
    Sun, Bin
    et al.
    Blekinge Tekniska Högskola, Fakulteten för datavetenskaper, Institutionen för kreativa teknologier.
    Cheng, Wei
    Blekinge Tekniska Högskola, Fakulteten för datavetenskaper, Institutionen för kreativa teknologier.
    Bai, Guohua
    Blekinge Tekniska Högskola, Fakulteten för datavetenskaper, Institutionen för kreativa teknologier.
    Goswami, Prashant
    Blekinge Tekniska Högskola, Fakulteten för datavetenskaper, Institutionen för kreativa teknologier.
    Correcting and complementing freeway traffic accident data using mahalanobis distance based outlier detection2017Inngår i: Technical Gazette, ISSN 1330-3651, E-ISSN 1848-6339, Vol. 24, nr 5, s. 1597-1607Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    A huge amount of traffic data is archived which can be used in data mining especially supervised learning. However, it is not being fully used due to lack of accurate accident information (labels). In this study, we improve a Mahalanobis distance based algorithm to be able to handle differential data to estimate flow fluctuations and detect accidents and use it to support correcting and complementing accident information. The outlier detection algorithm provides accurate suggestions for accident occurring time, duration and direction. We also develop a system with interactive user interface to realize this procedure. There are three contributions for data handling. Firstly, we propose to use multi-metric traffic data instead of single metric for traffic outlier detection. Secondly, we present a practical method to organise traffic data and to evaluate the organisation for Mahalanobis distance. Thirdly, we describe a general method to modify Mahalanobis distance algorithms to be updatable. © 2017, Strojarski Facultet. All rights reserved.

  • 53.
    Sun, Bin
    et al.
    Blekinge Tekniska Högskola, Fakulteten för datavetenskaper, Institutionen för kreativa teknologier.
    Cheng, Wei
    Blekinge Tekniska Högskola, Fakulteten för datavetenskaper, Institutionen för kreativa teknologier.
    Goswami, Prashant
    Blekinge Tekniska Högskola, Fakulteten för datavetenskaper, Institutionen för kreativa teknologier.
    Bai, Guohua
    Blekinge Tekniska Högskola, Fakulteten för datavetenskaper, Institutionen för kreativa teknologier.
    Short-Term Traffic Forecasting Using Self-Adjusting k-Nearest Neighbours2018Inngår i: IET Intelligent Transport Systems, ISSN 1751-956X, E-ISSN 1751-9578, Vol. 12, nr 1, s. 41-48Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    Short-term traffic forecasting is becoming more important in intelligent transportation systems. The k-nearest neighbours (kNN) method is widely used for short-term traffic forecasting.However, kNN parameters self-adjustment has been a problem due to dynamic traffic characteristics. This paper proposes a fully automatic dynamic procedure kNN (DP-kNN) that makes the kNN parameters self-adjustable and robust without predefined models or training. We used realworld data with more than one-year traffic records to conduct experiments. The results show that DP-kNN can perform better than manually adjusted kNN and other benchmarking methods with regards to accuracy on average. This study also discusses the difference between holiday and workday traffic prediction as well as the usage of neighbour distance measurement.

  • 54. Zhang, Peng
    et al.
    Bai, Guohua
    A Cybernetic Architecture of Practical Reasoning Agent2003Konferansepaper (Fagfellevurdert)
    Abstract [en]

    During the last ten years, agent technology has been widely discussed in various research areas. An agent is a computer system that is situated in some environment, and that is capable of autonomous actions in this environment in order to meet its design objectives. There are at least two kinds of reasoning methods applied in constructing an agent, namely practical reasoning and theoretical reasoning. Practical reasoning directed towards actions – the process of figuring out what to do by weighing different acting options against with agent desires and believes. While theoretical reasoning is directed towards beliefs. In this paper, we just focus on practical reasoning. A widely used BDI model for practical reasoning agent will be introduced, based on which our cybernetic-BDI architecture is discussed. ‘Intelligence’ and ‘autonomy’ are perhaps the most important aspects of agent system. Attempts to model intelligent behaviors of an agent, especially a practical reasoning agent, have been made from areas of computer sciences, psychology, sociology, and many others. Cybernetics provides a concrete mechanism for this purpose, namely by ‘feedback’, ‘feedforward’, and ‘sociocybernetics’. We discuss first intelligent behaviors of agent systems in terms of reactivity, proactity, and social ability based on cybernetic concepts of feedback, feedforward, and sociocybernetics. Then based on the Belief-Desire-Intention (BDI) model and cybernetic principles we build up our Cybernetic-BDI architecture. With a pseudocode we validate the architecture for its practical implementation and fulfillment of required intelligent behaviors. In the last, a scenario of healthcare agent for diabetes patients is provided to show how the agent works according to the Cybernetic-BDI architecture.

  • 55.
    Zhang, Peng
    et al.
    Blekinge Tekniska Högskola, Sektionen för teknik, Avdelningen för för interaktion och systemdesign.
    Bai, Guohua
    Blekinge Tekniska Högskola, Sektionen för teknik, Avdelningen för för interaktion och systemdesign.
    An Activity Systems Theory Approach to Agent Technology2005Inngår i: International Journal of Knowledge and Systems Sciences, ISSN 1349-7030, Vol. 2, nr 1, s. 60-65Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    In the last decade, Activity Theory has been discussed a lot in Human-Computer Interaction (HCI) and Computer Supported Cooperative Work (CSCW). Activity Theory was used both theoretically as an analytical method and practically as a development framework for Information Systems. Meanwhile, there is a new trench from Artificial Intelligence. Artificial Intelligence researchers find that the fruit from Activity Theory study may contribute, especially to Agent Technology, with socio-psychological aspects. In our E-health research, we apply Activity Theory both theoretically and practically into Agent Technology. To facilitate our research, General Systems Theory is chosen to integrate Activity Theory and Agent Technology. On the one hand, we consider Activity Theory as specific subject of General Systems Theory. On the other hand, General Systems Theory contributes to Agent Technology with systematic perspectives. As integration, we introduce Activity Systems Theory as an extension of Activity Theory. Then we apply it into Agent Technology discussion. The paper starts with the discussion of systematic perspectives of Activity Theory. Then we introduce Activity Systems Theory as an integration of systems science and Activity Theory. Three Activity Systems Theory principles are then applied into the discussion of Agent Technology. In the end, we introduce how we apply Activity Systems Theory into an E-health application.

  • 56.
    Zhang, Peng
    et al.
    Blekinge Tekniska Högskola, Sektionen för teknik, Avdelningen för för interaktion och systemdesign.
    Bai, Guohua
    Blekinge Tekniska Högskola, Sektionen för teknik, Avdelningen för för interaktion och systemdesign.
    Motivation Driven Multiagent Systems Coordination in Health Care2005Konferansepaper (Fagfellevurdert)
    Abstract [en]

    This paper explores MultiAgent Systems coordination from a socio-psychological point of view. Activity Theory is introduced to explain the coordination among intelligent agents. The hierarchy and motivation thinking from Activity Theory is used to define the motivation driven MultiAgent Systems coordination mechanism. Finally, we apply this mechanism into a health care scenario.

  • 57.
    Zhang, Peng
    et al.
    Blekinge Tekniska Högskola, Sektionen för teknik, Avdelningen för för interaktion och systemdesign.
    Bai, Guohua
    Blekinge Tekniska Högskola, Sektionen för teknik, Avdelningen för för interaktion och systemdesign.
    Systemic Thinking in Multi-agent Systems Coordination – Applied in Diabetic Health Care2006Konferansepaper (Fagfellevurdert)
    Abstract [en]

    Computer agent is considered as a technology that may support human beings with automatic functionalities in the social environment. This paper describes an approach to applying agents to diabetic health care. A good health care agent is considered to be able to keep a good balance between individual flexibility and team control. A systemic approach is proposed hereby as a complementation to the current approaches. Multi-agent Systems (MAS) coordination is considered on three levels: collaboration, coordination and communication. In the end, an agent-based computer system – Integrated Mobile Information Systems (IMIS) – is discussed based on the systemic approach.

  • 58.
    Zhang, Peng
    et al.
    Blekinge Tekniska Högskola, Sektionen för teknik, Avdelningen för för interaktion och systemdesign.
    Bai, Guohua
    Blekinge Tekniska Högskola, Sektionen för teknik, Avdelningen för för interaktion och systemdesign.
    Carlsson, Bengt
    Blekinge Tekniska Högskola, Sektionen för teknik, Avdelningen för för interaktion och systemdesign.
    Johansson, Stefan J.
    Blekinge Tekniska Högskola, Sektionen för teknik, Avdelningen för för interaktion och systemdesign.
    Applying Multi-agent Systems Coordination to the Diabetic Healthcare Collaboration2008Konferansepaper (Fagfellevurdert)
    Abstract [en]

    Diabetic healthcare is characterized by the collaboration problem, which is manifested by problems of accessibility and interoperability. To improve the problem situation, we propose a Multi-agent Systems approach. The interactions among the diabetic healthcare actors are categorized on three levels: collaboration, coordination, and communication. Agents are designed to work on the coordination and communication levels, and support the collaboration among human actors. This paper presents a project Integrated Mobile Information Systems for diabetic healthcare (IMIS) to demonstrate how to apply Multi-agent Systems coordination to the collaboration among healthcare actors.

12 51 - 58 of 58
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