نتایج جستجو برای: scenario generation
تعداد نتایج: 440431 فیلتر نتایج به سال:
This paper describes a novel approach to adaptive courseware generation. This approach adopts its structure from existing intelligent tutoring systems and introduces a new component called pedagogical scenario model to support pedagogical flexibility in the adaptation process of courseware generation system. The adaptation is carried out using Dynamic Constraint Satisfaction Problem framework, ...
Traditional manually establish a military scenario is a time-consuming and costly task. The question of representing the mission plan associated with military scenario domain does not yet have a single firm solution. While there is a clear need to capture the internal relationships among the military scenario resources, including unit, equipment, task, force, and COA. The main aim of this resea...
Architecture conception is a difficult and time consuming process, requiring advanced skills from the software architect. The tasks of an architect are alleviated if means can be provided to generate architectures that can be evaluated with respect to functional and nonfunctional requirements. This paper discusses an approach for doing so. It centers around a rich feature-solution graph which c...
Software testing is a widely used technique to eliminate defects and improve software quality. Testing is especially useful in the context of large distributed systems, which are notoriously difficult to reason about formally and remain out of reach for many existing analysis tools. A key problem in formulating a test case is identifying scenarios that can be (1) induced by a valid execution of...
Critical Infrastructures (CIs) are exposed to a wide spectrum of threats which vary in nature and can be either internal or external. THREVI2 project aims at assisting Authorities and Operators to get comprehensive information of all potential disruption scenarios relevant for CIP through creating a comprehensive and multi-dimensional all-hazards catalogue for CI. It consists of two ontologies ...
Deep‐learning‐based scenario generation strategy considering correlation between multiple wind farms
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