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This paper analyzes the parallelization efficiency of Menge [1], an open source virtual crowd simulation system widely used for algorithm benchmarking, with focuses on three aspects: performance of the existing parallel processing scheme, bottleneck of parallel processing, and improvement opportunities for parallel efficiency of the system. First, we calculate the speedup ratio of each Menge module...
In this paper, we are mostly interested in investigating how the study and discovery of the human visual cortex could be utilised to improve the computational models for visual recognition by computer vision. Many of the brain perceptual abilities in vision have corresponding algorithms exist in computer vision, and in this paper we discuss three such models. First we present a model that has the...
Microblog is becoming more and more popular in our life. Due to the numerous information on this platform, it is very useful to detect bursty topic in real-time to help people get essential information quickly. As a necessary stage, detecting busty feature effectively is important for bursty topic detection. Based on dynamics model, we propose a new microblog bursty feature detection method. Firstly,...
In this paper, we propose a sequential approach for emergency logistics planning in natural disasters. We establish a dynamic time-dependent nonlinear model, which describes a setting in which commodities are transported from dispatching centers to affected areas with different transportation modes in each emergency response period. Then, we develop a matrix-coding-based genetic algorithm to solve...
To improve the CT image quality from low-dose projection data measurement, a projection data restoration guided nonlocal means (NL-means) method was proposed, which makes fully use of the advantages of both the low-dose CT projection data restoration and image domain edge-preserving filtering. To get an ideal FBP reconstructed image, the projection data was first restored using Anscombe transform...
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