The Experts below are selected from a list of 297 Experts worldwide ranked by ideXlab platform
Stuart Raby - One of the best experts on this subject based on the ideXlab platform.
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String Model Building
arXiv: High Energy Physics - Phenomenology, 2010Co-Authors: Stuart RabyAbstract:In this talk I review some recent progress in heterotic and F theory Model Building. I then consider work in progress attempting to find the F theory dual to a class of heterotic orbifold Models which come quite close to the MSSM.
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SUSY GUT Model Building
Supersymmetry and unification of fundamental interactions, 2009Co-Authors: Stuart RabyAbstract:In this talk I discuss the evolution of SUSY GUT Model Building as I see it. Starting with 4 dimensional Model Building, I then consider orbifold GUTs in 5 dimensions and finally orbifold GUTs embedded into the E8×E8 heterotic string.
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SUSY GUT Model Building
arXiv: High Energy Physics - Phenomenology, 2008Co-Authors: Stuart RabyAbstract:I discuss an evolution of SUSY GUT Model Building, starting with the construction of 4d GUTs, to orbifold GUTs and finally to orbifold GUTs within the heterotic string. This evolution is an attempt to obtain realistic string Models, perhaps relevant for the LHC. This review is in memory of the sudden loss of Julius Wess, a leader in the field, who will be sorely missed.
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SUSY Model Building
arXiv: High Energy Physics - Phenomenology, 2007Co-Authors: Stuart RabyAbstract:I review some of the latest directions in supersymmetric Model Building, focusing on SUSY breaking mechanisms in the minimal supersymmetric standard Model [MSSM], the "little" hierarchy and $\mu$ problems, etc. I then discuss SUSY GUTs and UV completions in string theory.
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SUSY Model Building
2007Co-Authors: Stuart RabyAbstract:I review some of the latest directions in supersymmetric Model Building, focusing on SUSY breaking mechanisms in the minimal supersymmetric standard Model [MSSM], the “little” hierarchy and μ problems, etc. I then discuss SUSY GUTs and UV completions in string theory. PACS. PACS-key discribing text of that key – PACS-key discribing text of that key
G. Iazeolla - One of the best experts on this subject based on the ideXlab platform.
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Simulation Model Building of traffic intersections
Simulation Modelling Practice and Theory, 2009Co-Authors: Andrea D'ambrogio, G. Iazeolla, Leonardo Pasini, Alessandra PieroniAbstract:Designers of traffic systems might take advantage of the simulation-before-construction approach that allows them to study the behavior of a new or existing system by use of simulation Models. Nevertheless, the use of simulation Models is often hindered by the fact that the Model Building activity is a critical, time consuming and error prone activity if performed by use of experience and intuition only. Moreover, traffic designers do not usually have the necessary skills to effectively carry out system simulation. This paper overcomes such problems by introducing a Model Building method, thus enabling traffic designers to seamlessly introduce simulation-before-construction into their best practices. The method is applied to the Building of simulation Models of traffic intersections, with an example application to a real-world intersection.
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FIRB-Perf - Performance Model Building of Pervasive Computing
2005 Workshop on Techniques Methodologies and Tools for Performance Evaluation of Complex Systems (FIRB-PERF'05), 2005Co-Authors: Andrea D'ambrogio, G. IazeollaAbstract:Performance Model Building is essential to predict the ability of an application to satisfy given levels of performance or to support the search for viable alternatives. Using automated methods of Model Building is becoming of increasing interest to software developers who have neither the skills nor the time to do it manually. This is particularly relevant in pervasive computing, where the large number of software and hardware components requires Models of so large a size that using traditional manual methods of Model Building would be error prone and time consuming. This paper deals with an automated method to build performance Models of pervasive computing applications, which require the integration of multiple technologies, including software layers, hardware platforms and wired/wireless networks. The considered performance Models are of extended queueing network (EQN) type. The method is based on a procedure that receives as input the UML Model of the application to yield as output the complete EQN Model, which can then be evaluated by use of any evaluation tool.
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Performance Model Building of Pervasive Computing
2005 Workshop on Techniques Methodologies and Tools for Performance Evaluation of Complex Systems (FIRB-PERF'05), 2005Co-Authors: Andrea D'ambrogio, G. IazeollaAbstract:Performance Model Building is essential to predict the ability of an application to satisfy given levels of performance or to support the search for viable alternatives. Using automated methods of Model Building is becoming of increasing interest to software developers who have neither the skills nor the time to do it manually. This is particularly relevant in pervasive computing, where the large number of software and hardware components requires Models of so large a size that using traditional manual methods of Model Building would be error prone and time consuming. This paper deals with an automated method to build performance Models of pervasive computing applications, which require the integration of multiple technologies, including software layers, hardware platforms and wired/wireless networks. The considered performance Models are of extended queueing network (EQN) type. The method is based on a procedure that receives as input the UML Model of the application to yield as output the complete EQN Model, which can then be evaluated by use of any evaluation tool.
Andrea D'ambrogio - One of the best experts on this subject based on the ideXlab platform.
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Simulation Model Building of traffic intersections
Simulation Modelling Practice and Theory, 2009Co-Authors: Andrea D'ambrogio, G. Iazeolla, Leonardo Pasini, Alessandra PieroniAbstract:Designers of traffic systems might take advantage of the simulation-before-construction approach that allows them to study the behavior of a new or existing system by use of simulation Models. Nevertheless, the use of simulation Models is often hindered by the fact that the Model Building activity is a critical, time consuming and error prone activity if performed by use of experience and intuition only. Moreover, traffic designers do not usually have the necessary skills to effectively carry out system simulation. This paper overcomes such problems by introducing a Model Building method, thus enabling traffic designers to seamlessly introduce simulation-before-construction into their best practices. The method is applied to the Building of simulation Models of traffic intersections, with an example application to a real-world intersection.
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FIRB-Perf - Performance Model Building of Pervasive Computing
2005 Workshop on Techniques Methodologies and Tools for Performance Evaluation of Complex Systems (FIRB-PERF'05), 2005Co-Authors: Andrea D'ambrogio, G. IazeollaAbstract:Performance Model Building is essential to predict the ability of an application to satisfy given levels of performance or to support the search for viable alternatives. Using automated methods of Model Building is becoming of increasing interest to software developers who have neither the skills nor the time to do it manually. This is particularly relevant in pervasive computing, where the large number of software and hardware components requires Models of so large a size that using traditional manual methods of Model Building would be error prone and time consuming. This paper deals with an automated method to build performance Models of pervasive computing applications, which require the integration of multiple technologies, including software layers, hardware platforms and wired/wireless networks. The considered performance Models are of extended queueing network (EQN) type. The method is based on a procedure that receives as input the UML Model of the application to yield as output the complete EQN Model, which can then be evaluated by use of any evaluation tool.
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Performance Model Building of Pervasive Computing
2005 Workshop on Techniques Methodologies and Tools for Performance Evaluation of Complex Systems (FIRB-PERF'05), 2005Co-Authors: Andrea D'ambrogio, G. IazeollaAbstract:Performance Model Building is essential to predict the ability of an application to satisfy given levels of performance or to support the search for viable alternatives. Using automated methods of Model Building is becoming of increasing interest to software developers who have neither the skills nor the time to do it manually. This is particularly relevant in pervasive computing, where the large number of software and hardware components requires Models of so large a size that using traditional manual methods of Model Building would be error prone and time consuming. This paper deals with an automated method to build performance Models of pervasive computing applications, which require the integration of multiple technologies, including software layers, hardware platforms and wired/wireless networks. The considered performance Models are of extended queueing network (EQN) type. The method is based on a procedure that receives as input the UML Model of the application to yield as output the complete EQN Model, which can then be evaluated by use of any evaluation tool.
Duanning Zhou - One of the best experts on this subject based on the ideXlab platform.
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SMC - Integrating object-oriented analysis with action logic for Model Building
SMC 2000 Conference Proceedings. 2000 IEEE International Conference on Systems Man and Cybernetics. 'Cybernetics Evolving to Systems Humans Organizati, 2000Co-Authors: Qijia Tian, Jian Ma, Duanning ZhouAbstract:Decision Models play an important role in decision-making, and supporting Model-Building is one of the most important functions of Model management in decision support systems. As concepts at different abstract levels have to be used in the process of Model-Building, representing these concepts in a coherent way has been recognized as a key research topic. In this paper, a Model-Building framework is proposed which integrates object-oriented analysis with action logic as the representation tool. This Model-Building framework can provide representations for concepts at different abstract levels and can describe the process of abstracting decision Models from decision situations or problems represented in lower abstract level concepts.
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Integrating object-oriented analysis with action logic for Model Building
Smc 2000 conference proceedings. 2000 ieee international conference on systems man and cybernetics. 'cybernetics evolving to systems humans organizati, 2000Co-Authors: Qijia Tian, Duanning ZhouAbstract:Decision Models play an important role in decision-making, and supporting Model-Building is one of the most important functions of Model management in decision support systems. As concepts at different abstract levels have to be used in the process of Model-Building, representing these concepts in a coherent way has been recognized as a key research topic. In this paper, a Model-Building framework is proposed which integrates object-oriented analysis with action logic as the representation tool. This Model-Building framework can provide representations for concepts at different abstract levels and can describe the process of abstracting decision Models from decision situations or problems represented in lower abstract level concepts.
Jac A.m. Vennix - One of the best experts on this subject based on the ideXlab platform.
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Group Model Building: a decision room approach
Simulation & Gaming, 2000Co-Authors: Etiënne A. J. A. Rouwette, Jac A.m. Vennix, Cécile M. ThijssenAbstract:In this article, the authors investigate the benefits and drawbacks of using group Model Building in a group decision room. An approach to group Model Building adapted for use in a group decision r...
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Group Model-Building: tackling messy problems
System Dynamics Review, 1999Co-Authors: Jac A.m. VennixAbstract:Group Model-Building here refers to a system dynamics Model-Building process in which a client group is deeply involved in the process of Model construction. The problem that is Modelled can be reasonably well defined, but it can also take the form of an ill-defined or messy problem, i.e., a situation in which opinions in a management team differ considerably. These messy managerial situations are difficult to handle, primarily because thus far little theoretical work has been conducted to shed more light on the question why these messy situations exist and why it may be difficult for a management team to reach agreement. This article fills this theoretical gap by drawing on literature from sociology, (social) psychology and small-group research. Insights from this literature are discussed and translated into guidelines for conducting Group Model-Building projects for messy problems. The article ends with the conclusion that system dynamicists should include Group Model-Building and facilitation training in their teaching programs. Copyright © 1999 John Wiley & Sons, Ltd.
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Group Model-Building: Tackling messy problems
System Dynamics Review, 1999Co-Authors: Jac A.m. VennixAbstract:Group Model-Building here refers to a system dynamics Model-Building process in which a client group is deeply involved in the process of Model construction. The problem that is Modelled can be reasonably well de®ned, but it can also take the form of an ill-de®ned or messy problem, i.e., a situation in which opinions in a management team dier consider-ably. These messy managerial situations are dicult to handle, primarily because thus far little theoretical work has been conducted to shed more light on the question why these messy situations exist and why it may be dicult for a management team to reach agreement. This article ®lls this theoretical gap by drawing on literature from sociology, (social) psychology and small-group research. Insights from this literature are discussed and translated into guidelines for conducting Group Model-Building projects for messy problems. The article ends with the conclusion that system dynamicists should include Group Model-Building and facilitation training in their teaching programs. Almost since its inception, system dynamicists have involved the client (groups) in the Model-Building process for at least three reasons. First, to capture the required knowledge in the mental Models of the client group (Forrester 1961; 1987). Second, to increase the chances of implementation of Model results (cf. Roberts 1978; Weil 1980), and, ®nally, to enhance the client's learning process (Greenberger et al. 1976; de Geus 1988; Lane 1989; Morecroft 1992; Morecroft and Sterman 1992). As a result, the number of projects involving the client has proliferated rapidly over the last decades (Rouwette et al. 1999). Given this development, it is no wonder that a number of system dynamicists started to re¯ect more deeply on the issue of client involvement. Some concen-trated on how system dynamics could be used to support strategic executive dialogue in management teams (Morecroft 1992). OthersintroducèModelling as learning'' as an alternative consultancy methodology for system dynamicists (Lane 1992). Still others focused on particular issues when working with groups, for example knowledge elicitation from groups, cognitive tasks and small group dynamics (Richardson et al. 1989; Vennix et al. 1992).
