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We present an efficient and scalable scheme for implementing agent-based modeling (ABM) simulation with In Situ visualization of large complex systems on heterogeneous computing platforms. The scheme is designed to make optimal use of the resources available on a heterogeneous platform consisting of a multicore CPU and a GPU, resulting in minimal to no resource idle time. Furthermore, the scheme was...
Similarity learning between textual query and visual images is a fundamental problem in large scale image retrieval. Traditional methods primarily rely on the surrounding texts of images for image search. However, as the volume of images on the web grows to new levels, it is likely that the surrounding textual information is noisy or even unavailable. Thus, determining how to bridge the semantic gap...
The problem of data overload in supervisory control of critical complex industrial systems is addressed. As a solution data mining has been shown as an effective tool to help human supervisory control of a coal-fired power generation plant in reducing pollutant emissions.
The importance of the specification of train control system is increasingly recognized and gained more attention in signalling field in China as the specification is the basis to ensure that the signalling system supplied by manufacturer meet the requirements of the railway administration, for example, the requirement for the interoperability of the system. The specifications which are described in...
Feature Selective Validation (FSV) was incorporated as core component of IEEE Std 1597.1. Recently, discussions have moved from `is quantitative comparison of data needed?' to `how can this be applied to multidimensional data?' The purpose of this paper is to present some of the latest thinking about the key challenges in developing a 1D model to unlimited dimensionality. In particular, the paper...
BrainMap is a database of peak activation locations and metadata reported in functional neuroimaging studies, which was designed to develop and promote coordinate-based meta-analysis techniques. Here, we demonstrate the activation likelihood estimation (ALE) method in a meta-analysis of published TMS/PET studies. Using the results of this meta-analysis, we constructed a data-driven model of motor...
A distributed database (DDB) consists of copies of data files (usually redundant) geographically distributed and managed on a computer network. One important problem in DDB research is that of concurrency control. This paper develops a performance model of timestamp-ordering concurrency control algorithms in a DDB. The performance model consists of five components: input data collection, transaction...
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