The Experts below are selected from a list of 277935 Experts worldwide ranked by ideXlab platform

Diana White - One of the best experts on this subject based on the ideXlab platform.

  • Framing of project critical success factors by a Systems Model
    International Journal of Project Management, 2006
    Co-Authors: J. Fortune, Diana White
    Abstract:

    Perhaps the best known approach for tackling the human and organisational aspects of projects is through the use of 'critical success factors' but although the approach has very many champions it is not without its critics. This paper sets out the findings of a major review of the sets of factors that are available and outlines the main reservations that have been expressed about the approach. It then shows how a Systems Model, the Formal Systems Model, can be used as a framing device to deliver the benefits of taking account of 'critical success factors' whilst at the same time avoiding the problems associated with critical success factors' that give rise to the criticisms. Two IS projects are used to demonstrate use of this framing devise. When observation beganat the start of the projects they looked very similar an equally likely to succee. In the event, one of the projects was largely successful across the whole of the range of measures normally use to judge success whilst the other exhibite most of the characteristics of failure. Analysis using the framing device is well able to demonstrate the marke differences in the ways the two project were managed and to account for star contrast in the levels of success achieve. The paper concludes that the Formal Systems Model allows the underlying benefits of 'critical success farctors' to be secured whilst overcoming most of the problems associated with a checklist approach. © 2005 Elsevier Ltd and IPMA. All rights reserved.

  • framing of project critical success factors by a Systems Model
    International Journal of Project Management, 2006
    Co-Authors: J. Fortune, Diana White
    Abstract:

    Abstract Perhaps the best known approach for tackling the human and organisational aspects of projects is through the use of ‘critical success factors’ but although the approach has very many champions it is not without its critics. This paper sets out the findings of a major review of the sets of factors that are available and outlines the main reservations that have been expressed about the approach. It then shows how a Systems Model, the Formal Systems Model, can be used as a framing device to deliver the benefits of taking account of ‘critical success factors’ whilst at the same time avoiding the problems associated with ‘critical success factors’ that give rise to the criticisms. Two IS projects are used to demonstrate use of this framing devise. When observation began at the start of the projects they looked very similar and equally likely to succeed. In the event, one of the projects was largely successful across the whole of the range of measures normally used to judge success whilst the other exhibited most of the characteristics of failure. Analysis using the framing device is well able to demonstrate the marked differences in the ways the two projects were managed and to account for stark contrast in the levels of success achieved. The paper concludes that the Formal System Model allows the underlying benefits of ‘critical success factors’ to be secured whilst overcoming most of the problems associated with a checklist approach.

Lei Bu - One of the best experts on this subject based on the ideXlab platform.

  • From Offline toward Real Time: A Hybrid Systems Model Checking and CPS Codesign Approach for Medical Device Plug-and-Play Collaborations
    IEEE Transactions on Parallel and Distributed Systems, 2014
    Co-Authors: Tao Li, Qixin Wang, Lei Bu
    Abstract:

    Hybrid Systems Model checking is a great success in guaranteeing the safety of computerized control cyber-physical Systems (CPS). However, when applying hybrid Systems Model checking to Medical Device Plug-and-Play (MDPnP) CPS, we encounter two challenges due to the complexity of human body: 1) there are no good offline differential equation-based Models for many human body parameters; 2) the complexity of human body can result in many variables, complicating the system Model. In an attempt to address the challenges, we propose to alter the traditional approach of offline hybrid Systems Model checking of time-unbounded (i.e., infinite horizon, a.k.a., long run) future behavior to online hybrid Systems Model checking of time-bounded (i.e., finite horizon, a.k.a., short run) future behavior. According to this proposal, online Model checking runs as a real-time task to prevent faults. To meet the real-time requirements, certain design patterns must be followed, which brings up the codesign issue. We propose two sets of system codesign patterns for hard real time and soft real time, respectively. To evaluate our proposals, a case study on laser tracheotomy MDPnP is carried out. The study shows the necessity of online Model checking. Furthermore, test results based on real-world human subject trace show the feasibility and effectiveness of our proposed codesign.

  • From Offline toward Real-Time: A Hybrid Systems Model Checking and CPS Co-design Approach for Medical Device Plug-and-Play (MDPnP)
    2012 IEEE ACM Third International Conference on Cyber-Physical Systems, 2012
    Co-Authors: Tao Li, Qixin Wang, Lei Bu
    Abstract:

    Hybrid Systems Model checking is a great success in guaranteeing the safety of computerized control cyber-physical Systems (CPS). However, when applying hybrid Systems Model checking to Medical Device Plug-and-Play(MDPnP) CPS, we encounter two challenges due to the complexity of human body: i) there are no good offline differential equation based Models for many human body parameters, ii) the complexity of human body can result in many variables, complicating the system Model. In an attempt to address the challenges, we propose to alter the traditional approach of offline hybrid Systems Model checking of time-unbounded (i.e., long-run) future behavior to online hybrid Systems Model checking of time-bounded (i.e., short-run) future behavior. According to this proposal, online Model checking runs as a real-time task to prevent faults. To meet the real-time requirements, certain design patterns must be followed, which brings up the co-design issue. We propose two sets of system co-design patterns for hard real-time and soft real-time respectively. To evaluate our proposals, a case study on laser tracheotomy MDPnP is carried out. The study shows the necessity of online Model checking. Furthermore, test results based on real-world human subject trace show the feasibility and effectiveness of our proposed co-design.

Tao Li - One of the best experts on this subject based on the ideXlab platform.

  • From Offline toward Real Time: A Hybrid Systems Model Checking and CPS Codesign Approach for Medical Device Plug-and-Play Collaborations
    IEEE Transactions on Parallel and Distributed Systems, 2014
    Co-Authors: Tao Li, Qixin Wang, Lei Bu
    Abstract:

    Hybrid Systems Model checking is a great success in guaranteeing the safety of computerized control cyber-physical Systems (CPS). However, when applying hybrid Systems Model checking to Medical Device Plug-and-Play (MDPnP) CPS, we encounter two challenges due to the complexity of human body: 1) there are no good offline differential equation-based Models for many human body parameters; 2) the complexity of human body can result in many variables, complicating the system Model. In an attempt to address the challenges, we propose to alter the traditional approach of offline hybrid Systems Model checking of time-unbounded (i.e., infinite horizon, a.k.a., long run) future behavior to online hybrid Systems Model checking of time-bounded (i.e., finite horizon, a.k.a., short run) future behavior. According to this proposal, online Model checking runs as a real-time task to prevent faults. To meet the real-time requirements, certain design patterns must be followed, which brings up the codesign issue. We propose two sets of system codesign patterns for hard real time and soft real time, respectively. To evaluate our proposals, a case study on laser tracheotomy MDPnP is carried out. The study shows the necessity of online Model checking. Furthermore, test results based on real-world human subject trace show the feasibility and effectiveness of our proposed codesign.

  • From Offline toward Real-Time: A Hybrid Systems Model Checking and CPS Co-design Approach for Medical Device Plug-and-Play (MDPnP)
    2012 IEEE ACM Third International Conference on Cyber-Physical Systems, 2012
    Co-Authors: Tao Li, Qixin Wang, Lei Bu
    Abstract:

    Hybrid Systems Model checking is a great success in guaranteeing the safety of computerized control cyber-physical Systems (CPS). However, when applying hybrid Systems Model checking to Medical Device Plug-and-Play(MDPnP) CPS, we encounter two challenges due to the complexity of human body: i) there are no good offline differential equation based Models for many human body parameters, ii) the complexity of human body can result in many variables, complicating the system Model. In an attempt to address the challenges, we propose to alter the traditional approach of offline hybrid Systems Model checking of time-unbounded (i.e., long-run) future behavior to online hybrid Systems Model checking of time-bounded (i.e., short-run) future behavior. According to this proposal, online Model checking runs as a real-time task to prevent faults. To meet the real-time requirements, certain design patterns must be followed, which brings up the co-design issue. We propose two sets of system co-design patterns for hard real-time and soft real-time respectively. To evaluate our proposals, a case study on laser tracheotomy MDPnP is carried out. The study shows the necessity of online Model checking. Furthermore, test results based on real-world human subject trace show the feasibility and effectiveness of our proposed co-design.

  • An Integrated Artificial Immune Systems Model Based On Ontology
    2008 International Conference on Intelligent Computation Technology and Automation (ICICTA), 2008
    Co-Authors: Tao Li, Yiwen Liang, Huan Yang, Jia Chen
    Abstract:

    Modelling the immune system plays an important role in the understanding of the computational aspects of the immune system, because most of existing artificial immune system Models are designed for a specific application problem and have their advantages and disadvantages. In this paper, an AIS Model based on ontology is presented which can integrate several AIS Models and algorithms. Secondly, this Model has accurate semantic, shared knowledge and understood by computer. With the guidance of AIS ontolgy, more and more effectual AIS Models can be created and implement evolution dynamicly.

J. Fortune - One of the best experts on this subject based on the ideXlab platform.

  • Framing of project critical success factors by a Systems Model
    International Journal of Project Management, 2006
    Co-Authors: J. Fortune, Diana White
    Abstract:

    Perhaps the best known approach for tackling the human and organisational aspects of projects is through the use of 'critical success factors' but although the approach has very many champions it is not without its critics. This paper sets out the findings of a major review of the sets of factors that are available and outlines the main reservations that have been expressed about the approach. It then shows how a Systems Model, the Formal Systems Model, can be used as a framing device to deliver the benefits of taking account of 'critical success factors' whilst at the same time avoiding the problems associated with critical success factors' that give rise to the criticisms. Two IS projects are used to demonstrate use of this framing devise. When observation beganat the start of the projects they looked very similar an equally likely to succee. In the event, one of the projects was largely successful across the whole of the range of measures normally use to judge success whilst the other exhibite most of the characteristics of failure. Analysis using the framing device is well able to demonstrate the marke differences in the ways the two project were managed and to account for star contrast in the levels of success achieve. The paper concludes that the Formal Systems Model allows the underlying benefits of 'critical success farctors' to be secured whilst overcoming most of the problems associated with a checklist approach. © 2005 Elsevier Ltd and IPMA. All rights reserved.

  • framing of project critical success factors by a Systems Model
    International Journal of Project Management, 2006
    Co-Authors: J. Fortune, Diana White
    Abstract:

    Abstract Perhaps the best known approach for tackling the human and organisational aspects of projects is through the use of ‘critical success factors’ but although the approach has very many champions it is not without its critics. This paper sets out the findings of a major review of the sets of factors that are available and outlines the main reservations that have been expressed about the approach. It then shows how a Systems Model, the Formal Systems Model, can be used as a framing device to deliver the benefits of taking account of ‘critical success factors’ whilst at the same time avoiding the problems associated with ‘critical success factors’ that give rise to the criticisms. Two IS projects are used to demonstrate use of this framing devise. When observation began at the start of the projects they looked very similar and equally likely to succeed. In the event, one of the projects was largely successful across the whole of the range of measures normally used to judge success whilst the other exhibited most of the characteristics of failure. Analysis using the framing device is well able to demonstrate the marked differences in the ways the two projects were managed and to account for stark contrast in the levels of success achieved. The paper concludes that the Formal System Model allows the underlying benefits of ‘critical success factors’ to be secured whilst overcoming most of the problems associated with a checklist approach.

Irene Ng - One of the best experts on this subject based on the ideXlab platform.

  • A Systems Model of a Service Organization
    2013 46th Hawaii International Conference on System Sciences, 2013
    Co-Authors: Roger Maull, Philip Godsiff, Irene Ng
    Abstract:

    This paper develops a service Systems Model which is then used to discuss a number of important implications for service design. We begin by outlining the existing service design literature which is either too abstract or too low level for design. Thus, we develop the requirement for a service Systems Model which enables the consideration of a number of different âlevelsâ. The main contribution of this paper is the development of the service Systems Model from data collected in a single case study of a large international Telco. We conclude by considering three implications for service design of developing a Systems Model. Firstly, we challenge the level or unit of analysis of service Systems design research. Secondly, we propose an alternative contingency variable based on the input type and finally we suggest the Model may be used within service improvement to identify the appropriate approach to mathematical Modeling.