The Experts below are selected from a list of 300 Experts worldwide ranked by ideXlab platform

Hans Wehn - One of the best experts on this subject based on the ideXlab platform.

  • High-Level Architecture and Design of a Decision Engine for Marine Safety and Security
    Intelligent Systems for Security Informatics, 2020
    Co-Authors: Piper Jackson, Hamed Yaghoubi Shahir, Uwe Glässer, Hans Wehn
    Abstract:

    The high-level architecture and design for a comprehensive decision-making component, called the Decision Engine, is presented. Coming from applied research in the domain of Marine Safety and security, the Decision Engine provides a model and algorithmic framework for the management of the decision-making process in dynamic environments within the presence of uncertainty, including replanning, plan changing, plan auditing, and execution monitoring. This engine employs a Hybrid Hierarchical Task Network planner as its foundation, which is able to draw upon the capabilities of specialized subplanners where appropriate. Abstract State Machine specifications of the main components of the Decision Engine are provided.

  • Generating test cases for Marine Safety and security scenarios: a composition framework
    Security Informatics, 2012
    Co-Authors: Hamed Yaghoubi Shahir, Piper Jackson, Roozbeh Farahbod, Uwe Glässer, Hans Wehn
    Abstract:

    In this paper we address the problem of testing complex computer models for infrastructure protection and emergency response based on detailed and realistic application scenarios using advanced computational methods and tools. Specifically, we focus here on testing situation analysis decision support models for Marine Safety & security operations as a sample application domain. Arguably, methodical approaches for analyzing and validating situation analysis methods, decision support models, and information fusion algorithms require realistic vignettes that describe in great detail how a situation unfolds over time depending on initial configurations, dynamic environmental conditions and uncertain operational aspects. Meaningful results from simulation runs require appropriate test cases, the production of which is in itself a complex activity. To simplify this task, we introduce here the conceptual design of a Vignette Generator that has been developed and tested in an industrial research project. We also propose a framework for composing vignettes from reusable vignette elements together with a formal representation for vignettes using the Abstract State Machine method and illustrate the approach by means of various practical examples.

  • Test-case generation for Marine Safety and security scenarios
    Proceedings of 2011 IEEE International Conference on Intelligence and Security Informatics, 2011
    Co-Authors: Hamed Yaghoubi Shahir, Piper Jackson, Uwe Glässer, Hans Wehn
    Abstract:

    Marine Safety & security is critical for Canada's coasts given the vulnerability of sea lanes, ports and harbors to a variety of threats and illegal activities. Decision support systems and simulation environments play a key role in facilitating surveillance operations. Meaningful results from simulation runs require appropriate test cases, the production of which is in itself a complex activity. In this paper, we propose an approach for the generation of test-cases for Marine Safety & security scenarios. The conceptual design issues including the main requirements, the architecture, and other detailed design issues of the proposed system are discussed. We also propose a formal representation of test-cases using the Abstract State Machine method and illustrate the approach by means of simple examples.

  • An extensible decision engine for Marine Safety and Security
    Proceedings of 2011 IEEE International Conference on Intelligence and Security Informatics, 2011
    Co-Authors: Piper Jackson, Hamed Yaghoubi Shahir, Uwe Glässer, Hans Wehn
    Abstract:

    Coming from applied research in the domain of Marine Safety & Security, the high-level design for a comprehensive decision making component, called Decision Engine, is presented. This Decision Engine provides an architectural model and algorithmic framework for the management of the decision making process in dynamic environments within the presence of uncertainty, including replanning, plan changing, plan auditing, and execution monitoring. At the heart of this is a hybrid Hierarchical Task Network planner, which is able to draw upon the capabilities of specialized sub-planners where appropriate.

  • ISI - Test-case generation for Marine Safety and security scenarios
    Proceedings of 2011 IEEE International Conference on Intelligence and Security Informatics, 2011
    Co-Authors: Hamed Yaghoubi Shahir, Piper Jackson, Uwe Glaasser, Hans Wehn
    Abstract:

    Marine Safety & security is critical for Canada's coasts given the vulnerability of sea lanes, ports and harbors to a variety of threats and illegal activities. Decision support systems and simulation environments play a key role in facilitating surveillance operations. Meaningful results from simulation runs require appropriate test cases, the production of which is in itself a complex activity. In this paper, we propose an approach for the generation of test-cases for Marine Safety & security scenarios. The conceptual design issues including the main requirements, the architecture, and other detailed design issues of the proposed system are discussed. We also propose a formal representation of test-cases using the Abstract State Machine method and illustrate the approach by means of simple examples.

Hamed Yaghoubi Shahir - One of the best experts on this subject based on the ideXlab platform.

  • High-Level Architecture and Design of a Decision Engine for Marine Safety and Security
    Intelligent Systems for Security Informatics, 2020
    Co-Authors: Piper Jackson, Hamed Yaghoubi Shahir, Uwe Glässer, Hans Wehn
    Abstract:

    The high-level architecture and design for a comprehensive decision-making component, called the Decision Engine, is presented. Coming from applied research in the domain of Marine Safety and security, the Decision Engine provides a model and algorithmic framework for the management of the decision-making process in dynamic environments within the presence of uncertainty, including replanning, plan changing, plan auditing, and execution monitoring. This engine employs a Hybrid Hierarchical Task Network planner as its foundation, which is able to draw upon the capabilities of specialized subplanners where appropriate. Abstract State Machine specifications of the main components of the Decision Engine are provided.

  • Generating test cases for Marine Safety and security scenarios: a composition framework
    Security Informatics, 2012
    Co-Authors: Hamed Yaghoubi Shahir, Piper Jackson, Roozbeh Farahbod, Uwe Glässer, Hans Wehn
    Abstract:

    In this paper we address the problem of testing complex computer models for infrastructure protection and emergency response based on detailed and realistic application scenarios using advanced computational methods and tools. Specifically, we focus here on testing situation analysis decision support models for Marine Safety & security operations as a sample application domain. Arguably, methodical approaches for analyzing and validating situation analysis methods, decision support models, and information fusion algorithms require realistic vignettes that describe in great detail how a situation unfolds over time depending on initial configurations, dynamic environmental conditions and uncertain operational aspects. Meaningful results from simulation runs require appropriate test cases, the production of which is in itself a complex activity. To simplify this task, we introduce here the conceptual design of a Vignette Generator that has been developed and tested in an industrial research project. We also propose a framework for composing vignettes from reusable vignette elements together with a formal representation for vignettes using the Abstract State Machine method and illustrate the approach by means of various practical examples.

  • Test-case generation for Marine Safety and security scenarios
    Proceedings of 2011 IEEE International Conference on Intelligence and Security Informatics, 2011
    Co-Authors: Hamed Yaghoubi Shahir, Piper Jackson, Uwe Glässer, Hans Wehn
    Abstract:

    Marine Safety & security is critical for Canada's coasts given the vulnerability of sea lanes, ports and harbors to a variety of threats and illegal activities. Decision support systems and simulation environments play a key role in facilitating surveillance operations. Meaningful results from simulation runs require appropriate test cases, the production of which is in itself a complex activity. In this paper, we propose an approach for the generation of test-cases for Marine Safety & security scenarios. The conceptual design issues including the main requirements, the architecture, and other detailed design issues of the proposed system are discussed. We also propose a formal representation of test-cases using the Abstract State Machine method and illustrate the approach by means of simple examples.

  • An extensible decision engine for Marine Safety and Security
    Proceedings of 2011 IEEE International Conference on Intelligence and Security Informatics, 2011
    Co-Authors: Piper Jackson, Hamed Yaghoubi Shahir, Uwe Glässer, Hans Wehn
    Abstract:

    Coming from applied research in the domain of Marine Safety & Security, the high-level design for a comprehensive decision making component, called Decision Engine, is presented. This Decision Engine provides an architectural model and algorithmic framework for the management of the decision making process in dynamic environments within the presence of uncertainty, including replanning, plan changing, plan auditing, and execution monitoring. At the heart of this is a hybrid Hierarchical Task Network planner, which is able to draw upon the capabilities of specialized sub-planners where appropriate.

  • ISI - Test-case generation for Marine Safety and security scenarios
    Proceedings of 2011 IEEE International Conference on Intelligence and Security Informatics, 2011
    Co-Authors: Hamed Yaghoubi Shahir, Piper Jackson, Uwe Glaasser, Hans Wehn
    Abstract:

    Marine Safety & security is critical for Canada's coasts given the vulnerability of sea lanes, ports and harbors to a variety of threats and illegal activities. Decision support systems and simulation environments play a key role in facilitating surveillance operations. Meaningful results from simulation runs require appropriate test cases, the production of which is in itself a complex activity. In this paper, we propose an approach for the generation of test-cases for Marine Safety & security scenarios. The conceptual design issues including the main requirements, the architecture, and other detailed design issues of the proposed system are discussed. We also propose a formal representation of test-cases using the Abstract State Machine method and illustrate the approach by means of simple examples.

Uwe Glässer - One of the best experts on this subject based on the ideXlab platform.

  • High-Level Architecture and Design of a Decision Engine for Marine Safety and Security
    Intelligent Systems for Security Informatics, 2020
    Co-Authors: Piper Jackson, Hamed Yaghoubi Shahir, Uwe Glässer, Hans Wehn
    Abstract:

    The high-level architecture and design for a comprehensive decision-making component, called the Decision Engine, is presented. Coming from applied research in the domain of Marine Safety and security, the Decision Engine provides a model and algorithmic framework for the management of the decision-making process in dynamic environments within the presence of uncertainty, including replanning, plan changing, plan auditing, and execution monitoring. This engine employs a Hybrid Hierarchical Task Network planner as its foundation, which is able to draw upon the capabilities of specialized subplanners where appropriate. Abstract State Machine specifications of the main components of the Decision Engine are provided.

  • Generating test cases for Marine Safety and security scenarios: a composition framework
    Security Informatics, 2012
    Co-Authors: Hamed Yaghoubi Shahir, Piper Jackson, Roozbeh Farahbod, Uwe Glässer, Hans Wehn
    Abstract:

    In this paper we address the problem of testing complex computer models for infrastructure protection and emergency response based on detailed and realistic application scenarios using advanced computational methods and tools. Specifically, we focus here on testing situation analysis decision support models for Marine Safety & security operations as a sample application domain. Arguably, methodical approaches for analyzing and validating situation analysis methods, decision support models, and information fusion algorithms require realistic vignettes that describe in great detail how a situation unfolds over time depending on initial configurations, dynamic environmental conditions and uncertain operational aspects. Meaningful results from simulation runs require appropriate test cases, the production of which is in itself a complex activity. To simplify this task, we introduce here the conceptual design of a Vignette Generator that has been developed and tested in an industrial research project. We also propose a framework for composing vignettes from reusable vignette elements together with a formal representation for vignettes using the Abstract State Machine method and illustrate the approach by means of various practical examples.

  • EISIC - Engineering Situation Analysis Decision Support Systems
    2011 European Intelligence and Security Informatics Conference, 2011
    Co-Authors: Roozbeh Farahbod, Uwe Glässer, Vladimir Avram, Adel Guitouni
    Abstract:

    This paper explores a new approach to model-driven engineering (MDE) of situation analysis decision support systems for Marine Safety & Security Operations. Realistic situation analysis scenarios routinely deal with complex dynamic situations involving multiple mobile agents and events distributed in space and time. The work presented here builds on Abstract State Machine (ASM) modeling paired with Creams tool support to analyze and validate ASM models experimentally. The proposed approach facilitates analysis of the problem space and supports reasoning about design decisions and conformance criteria so as to ensure they are properly established and well understood prior to building the system. We provide an extension to Core ASM for the Marine Safety & Security domain, specifically for capturing rendezvous scenarios and illustrate the application of the proposed modeling approach using sample scenarios.

  • Test-case generation for Marine Safety and security scenarios
    Proceedings of 2011 IEEE International Conference on Intelligence and Security Informatics, 2011
    Co-Authors: Hamed Yaghoubi Shahir, Piper Jackson, Uwe Glässer, Hans Wehn
    Abstract:

    Marine Safety & security is critical for Canada's coasts given the vulnerability of sea lanes, ports and harbors to a variety of threats and illegal activities. Decision support systems and simulation environments play a key role in facilitating surveillance operations. Meaningful results from simulation runs require appropriate test cases, the production of which is in itself a complex activity. In this paper, we propose an approach for the generation of test-cases for Marine Safety & security scenarios. The conceptual design issues including the main requirements, the architecture, and other detailed design issues of the proposed system are discussed. We also propose a formal representation of test-cases using the Abstract State Machine method and illustrate the approach by means of simple examples.

  • An extensible decision engine for Marine Safety and Security
    Proceedings of 2011 IEEE International Conference on Intelligence and Security Informatics, 2011
    Co-Authors: Piper Jackson, Hamed Yaghoubi Shahir, Uwe Glässer, Hans Wehn
    Abstract:

    Coming from applied research in the domain of Marine Safety & Security, the high-level design for a comprehensive decision making component, called Decision Engine, is presented. This Decision Engine provides an architectural model and algorithmic framework for the management of the decision making process in dynamic environments within the presence of uncertainty, including replanning, plan changing, plan auditing, and execution monitoring. At the heart of this is a hybrid Hierarchical Task Network planner, which is able to draw upon the capabilities of specialized sub-planners where appropriate.

Piper Jackson - One of the best experts on this subject based on the ideXlab platform.

  • High-Level Architecture and Design of a Decision Engine for Marine Safety and Security
    Intelligent Systems for Security Informatics, 2020
    Co-Authors: Piper Jackson, Hamed Yaghoubi Shahir, Uwe Glässer, Hans Wehn
    Abstract:

    The high-level architecture and design for a comprehensive decision-making component, called the Decision Engine, is presented. Coming from applied research in the domain of Marine Safety and security, the Decision Engine provides a model and algorithmic framework for the management of the decision-making process in dynamic environments within the presence of uncertainty, including replanning, plan changing, plan auditing, and execution monitoring. This engine employs a Hybrid Hierarchical Task Network planner as its foundation, which is able to draw upon the capabilities of specialized subplanners where appropriate. Abstract State Machine specifications of the main components of the Decision Engine are provided.

  • Generating test cases for Marine Safety and security scenarios: a composition framework
    Security Informatics, 2012
    Co-Authors: Hamed Yaghoubi Shahir, Piper Jackson, Roozbeh Farahbod, Uwe Glässer, Hans Wehn
    Abstract:

    In this paper we address the problem of testing complex computer models for infrastructure protection and emergency response based on detailed and realistic application scenarios using advanced computational methods and tools. Specifically, we focus here on testing situation analysis decision support models for Marine Safety & security operations as a sample application domain. Arguably, methodical approaches for analyzing and validating situation analysis methods, decision support models, and information fusion algorithms require realistic vignettes that describe in great detail how a situation unfolds over time depending on initial configurations, dynamic environmental conditions and uncertain operational aspects. Meaningful results from simulation runs require appropriate test cases, the production of which is in itself a complex activity. To simplify this task, we introduce here the conceptual design of a Vignette Generator that has been developed and tested in an industrial research project. We also propose a framework for composing vignettes from reusable vignette elements together with a formal representation for vignettes using the Abstract State Machine method and illustrate the approach by means of various practical examples.

  • Test-case generation for Marine Safety and security scenarios
    Proceedings of 2011 IEEE International Conference on Intelligence and Security Informatics, 2011
    Co-Authors: Hamed Yaghoubi Shahir, Piper Jackson, Uwe Glässer, Hans Wehn
    Abstract:

    Marine Safety & security is critical for Canada's coasts given the vulnerability of sea lanes, ports and harbors to a variety of threats and illegal activities. Decision support systems and simulation environments play a key role in facilitating surveillance operations. Meaningful results from simulation runs require appropriate test cases, the production of which is in itself a complex activity. In this paper, we propose an approach for the generation of test-cases for Marine Safety & security scenarios. The conceptual design issues including the main requirements, the architecture, and other detailed design issues of the proposed system are discussed. We also propose a formal representation of test-cases using the Abstract State Machine method and illustrate the approach by means of simple examples.

  • An extensible decision engine for Marine Safety and Security
    Proceedings of 2011 IEEE International Conference on Intelligence and Security Informatics, 2011
    Co-Authors: Piper Jackson, Hamed Yaghoubi Shahir, Uwe Glässer, Hans Wehn
    Abstract:

    Coming from applied research in the domain of Marine Safety & Security, the high-level design for a comprehensive decision making component, called Decision Engine, is presented. This Decision Engine provides an architectural model and algorithmic framework for the management of the decision making process in dynamic environments within the presence of uncertainty, including replanning, plan changing, plan auditing, and execution monitoring. At the heart of this is a hybrid Hierarchical Task Network planner, which is able to draw upon the capabilities of specialized sub-planners where appropriate.

  • ISI - Test-case generation for Marine Safety and security scenarios
    Proceedings of 2011 IEEE International Conference on Intelligence and Security Informatics, 2011
    Co-Authors: Hamed Yaghoubi Shahir, Piper Jackson, Uwe Glaasser, Hans Wehn
    Abstract:

    Marine Safety & security is critical for Canada's coasts given the vulnerability of sea lanes, ports and harbors to a variety of threats and illegal activities. Decision support systems and simulation environments play a key role in facilitating surveillance operations. Meaningful results from simulation runs require appropriate test cases, the production of which is in itself a complex activity. In this paper, we propose an approach for the generation of test-cases for Marine Safety & security scenarios. The conceptual design issues including the main requirements, the architecture, and other detailed design issues of the proposed system are discussed. We also propose a formal representation of test-cases using the Abstract State Machine method and illustrate the approach by means of simple examples.

Roozbeh Farahbod - One of the best experts on this subject based on the ideXlab platform.

  • Generating test cases for Marine Safety and security scenarios: a composition framework
    Security Informatics, 2012
    Co-Authors: Hamed Yaghoubi Shahir, Piper Jackson, Roozbeh Farahbod, Uwe Glässer, Hans Wehn
    Abstract:

    In this paper we address the problem of testing complex computer models for infrastructure protection and emergency response based on detailed and realistic application scenarios using advanced computational methods and tools. Specifically, we focus here on testing situation analysis decision support models for Marine Safety & security operations as a sample application domain. Arguably, methodical approaches for analyzing and validating situation analysis methods, decision support models, and information fusion algorithms require realistic vignettes that describe in great detail how a situation unfolds over time depending on initial configurations, dynamic environmental conditions and uncertain operational aspects. Meaningful results from simulation runs require appropriate test cases, the production of which is in itself a complex activity. To simplify this task, we introduce here the conceptual design of a Vignette Generator that has been developed and tested in an industrial research project. We also propose a framework for composing vignettes from reusable vignette elements together with a formal representation for vignettes using the Abstract State Machine method and illustrate the approach by means of various practical examples.

  • EISIC - Engineering Situation Analysis Decision Support Systems
    2011 European Intelligence and Security Informatics Conference, 2011
    Co-Authors: Roozbeh Farahbod, Uwe Glässer, Vladimir Avram, Adel Guitouni
    Abstract:

    This paper explores a new approach to model-driven engineering (MDE) of situation analysis decision support systems for Marine Safety & Security Operations. Realistic situation analysis scenarios routinely deal with complex dynamic situations involving multiple mobile agents and events distributed in space and time. The work presented here builds on Abstract State Machine (ASM) modeling paired with Creams tool support to analyze and validate ASM models experimentally. The proposed approach facilitates analysis of the problem space and supports reasoning about design decisions and conformance criteria so as to ensure they are properly established and well understood prior to building the system. We provide an extension to Core ASM for the Marine Safety & Security domain, specifically for capturing rendezvous scenarios and illustrate the application of the proposed modeling approach using sample scenarios.

  • Engineering Situation Analysis Decision Support Systems
    2011 European Intelligence and Security Informatics Conference, 2011
    Co-Authors: Roozbeh Farahbod, Uwe Glässer, Vladimir Avram, Adel Guitouni
    Abstract:

    This paper explores a new approach to model-driven engineering (MDE) of situation analysis decision support systems for Marine Safety & Security Operations. Realistic situation analysis scenarios routinely deal with complex dynamic situations involving multiple mobile agents and events distributed in space and time. The work presented here builds on Abstract State Machine (ASM) modeling paired with CoreASM tool support to analyze and validate ASM models experimentally. The proposed approach facilitates analysis of the problem space and supports reasoning about design decisions and conformance criteria so as to ensure they are properly established and well understood prior to building the system. We provide an extension to Core ASM for the Marine Safety & Security domain, specifically for capturing rendezvous scenarios and illustrate the application of the proposed modeling approach using sample scenarios.