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Inaccurate perception of distances is a known problem within virtual environments. We hypothesize that the inclusion of virtual characters within these environments can improve an observer's ability to judge distances and achieve accurate spatial understanding. We have conducted an empirical study using a desktop display of a small scale environment to evaluate the validity of this concept. We investigated...
The two most important tasks in information extraction from the Web are webpage structure understanding and natural language sentences processing. However, little work has been done toward an integrated statistical model for understanding webpage structures and processing natural language sentences within the HTML elements. Our recent work on webpage understanding introduces a joint model of Hierarchical...
Temporal data mining algorithms are becoming increasingly important in many application domains including computational neuroscience, especially the analysis of spike train data. While application scientists have been able to readily gather multi-neuronal datasets, analysis capabilities have lagged behind, due to both lack of powerful algorithms and inaccessibility to powerful hardware platforms....
In this paper, the quantitative evaluation model- attribute recognition model is used to identify underground space's air quality. Three types of method are applicated to empower the objective weights, which avoid determining the weights subjectively. In the light of actual description of the process, the ultimate evaluation of underground space's air quality is fit for the result of reality.
Tacit knowledge sharing discussed in this study is important in the area of business due to its sharing to impel the organizationspsila competitive advantage. In this study, the conflict between tacit knowledge sharing and its exclusivity is described by conflict analysis based on game theory. Analysis shows that the conflict can be categorized as a non-absolute opposability conflict. Furthermore,...
Through the algorithmic design patterns of data parallelism and task parallelism, the graphics processing unit (GPU) offers the potential to vastly accelerate discovery and innovation across a multitude of disciplines. For example, the exponential growth in data volume now presents an obstacle for high-throughput data mining in fields such as neuroscience and bioinformatics. As such, we present a...
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