Decision support system for Naval Task-Force threat evaluation / Système d'aide à la décision pour l'évaluation de la menace durant les opérations navales militaires
Decision support system for Naval Task-Force threat evaluation / Système d'aide à la décision pour l'évaluation de la menace durant les opérations navales militaires
批准号:
363768-2007
负责人:
Kabanza, Froduald
金额:
$5.2万
依托单位:
依托单位国家:
加拿大
项目类别:
Collaborative Research and Development Grants
财政年份:
2008
资助国家:
加拿大
项目状态:
已结题
起止时间:
2008-01-01 至 2009-12-31
中文摘要
军事海军特遣部队行动是指为完成特定任务而协调的若干国家或盟国平台的行动。在此类行动中,威胁评估是观察敌方飞机或导弹等潜在敌对实体的行为,以确定其对受保护资产造成损害的目标、计划、意图、能力和机会的过程。这一过程由人工操作员根据主要通过战术画面提供的信息进行。鉴于海军特遣部队威胁评估任务的高度复杂性,需要决策支持系统通过降低操作员出错的风险来提高决策质量,并提供认知支持以减少他们的工作量。该项目将CAE(加拿大一家世界领先的培训模拟器公司)和舍布鲁克大学联合起来,调查、设计、实施和评估这样一个决策支持系统。该系统的关键组件将是新颖的威胁评估专家模型和用户模型,以及处理这些模型的原始系统架构和算法,以便在威胁评估期间为操作员提供有用的支持。同样的系统将用于指导学生/受训人员通过模拟学习威胁评估概念。此外,该系统将生成业绩跟踪,以帮助教师评估学生/受训人员,并确定他们对进一步培训或额外课程的需求。考虑到威胁评估是其他领域的一个重要问题,而不仅仅是军事领域(例如网络安全),该项目还将间接促进类似领域威胁评估决策支持工具设计方面的知识进步。该项目还将使研究生能够获得宝贵的专业知识,并在加拿大迫切需要的一个非常敏感的领域变得非常合格。
英文摘要
Military naval task-force operations are operations involving several national or allied platforms that are coordinated to achieve given missions. In such operations, threat evaluation is the process of observing the behaviour of potentially hostile entities, such as enemy aircraft or missiles, to determine their goals, plans, intent, capability and opportunity for causing damage to protected assets. This process is conducted by human operators based on information provided mainly through a tactical picture. Given the very high complexity of naval task-force threat evaluation tasks, a decision support system is required to enhance decision quality by reducing the risk of errors for operators, and provide cognitive support to reduce their workload. This project brings together CAE (a Canadian world leading company in training simulators) and the Université de Sherbrooke to investigate, design, implement, and evaluate such a decision support system. The key components of this system will be novel threat evaluation expert models and user models, together with original system architecture and algorithms that process these models to provide useful support to operators during threat evaluation. The same system will be used to guide students/trainees in learning threat evaluation concepts through simulations. Additionally, the system will generate performance traces that will assist instructors in evaluating students/trainees and determining their needs for further training or additional courses. Considering that threat evaluation is an important problem in other areas, not just military (for example, network security), this project will also indirectly contribute to the advancement of knowledge in the design of decision support tools for threat evaluation in similar domains. The project will also enable graduate students to gain a valuable expertise and become highly qualified in a very sensitive field much needed for Canada.
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