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Background People with Parkinson’s disease (PD) commonly experience postural instability, resulting in poor balance and an increased risk of falls. Exercise-based video gaming (exergaming) is a form of physical training that is delivered through virtual reality technology to facilitate motor learning and is efficacious in improving balance in aged populations. In addition, studies have shown that...
In order to make the circuit fault diagnosis system more intelligent, efficient. IsDS decision algorithm is presented based on the process of model-based diagnosis. Model-based circuit fault diagnosis system is designed and realized with SAT solvers by means of applying IsDS decision algorithm and combining CSSE-tree method. Firstly the normal behavior, system mo del and obtained observations are...
This paper proposes a Multiple-run Interactive Certainty Network (MRICN) that integrates human decision-making heuristics into probabilistic approaches for knowledge-based systems. MRICN is built upon ideas drawn from “Opinion Pooling”, “Probabilistic Network” and “Interaction”, allowing for reflective searching for the optimal sets of knowledge with the maximal certainty gain. It is implemented and...
This paper proposes an Ontology Based Geometric Recognition System (OBGRS) which can provide Automatic Feature Recognition (AFR) for STEP based geometric model. The system represents the geometric domain knowledge and STEP data in ontology as classes, properties, and semantic rules, which improves the explainability of the system. Meanwhile, ontology-based separating of general domain knowledge and...
Model selection relies on the attributes of models heavily. And the attributes of models may be certain or uncertain, so how to process these two kinds of attributes, and how to compare the similarity between the object problem and models in term of the attributes are the key issues in model selection. To solve the problem, a new method based on fuzzy recognition is introduced in this article. Firstly,...
Public relations is an important management staff function in this computer age, and accurate media information retrieval and appropriate measurement for publicity tracking in a campaign management system is of utmost importance. This paper proposes an intelligent campaign management system, called KnowleTracker, based on a semantic service-oriented approach. KnowleTracker has powerful deep mining...
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