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Joint analysis of medical data collected from different imaging modalities has become a common clinical practice. Therefore, image fusion techniques, which provide an efficient way of combining and enhancing information, have drawn increasing attention from the medical community. In this paper, we propose a novel cross-scale fusion rule for multiscale-decomposition-based fusion of volumetric medical...
Interaction programming is a complex decision making model for multi-persons, which can be widely applied in fields with conflict or non-conflict, such as control problem of product plan, mutli-agents and network conflict in the engineering and computer fields. This paper extends a class of cooperative interaction programming of two-persons (or two agents). We define $s$-optimal joint solution to...
Here we improve the theoretical framework for the optimal collaboration among researchers in a research team. A knowledge network model is established to find out the coefficient donating the efficiency of the collaboration with each pair of researchers. Furthermore, the variational inequality theory is employed to work out for the optimal solution for the time allocation problem. Finally a numeric...
The methodology of modeling and analyzing of a knowledge network are discussed in this article. Two steps will be taken to establish the model of a knowledge network for a scientific organization. Based no the network model, the density, betweenness centrality and structure expression analysis will be conducted. The calculation result of the density provides an objective indicator for the researchers...
In this paper, we introduce a generic model to deal with the event matching problem of content-based publish/subscribe systems over structured P2P overlays. In this model, we claim that there are three methods (event-oriented, subscription-oriented and hybrid) to make all the matched pairs (event, subscription) meet in a system. By theoretically analyzing the inherent problem of both event-oriented...
Soft errors are a growing concern for computer reliability. To mitigate the effects of soft errors, a variety of software-based fault tolerance methodologies have been proposed for their low costs. Data duplication techniques have the advantage of flexible and general implementation with strong capacity for error detection. However, the trade-off between reliability, performance and memory overhead...
Soft errors are emerging as a new challenge in computer applications. Current studies about soft errors mainly focus on the circuit and architecture level. Few works discuss the impact of soft errors on programs. This paper presents a novel approach named PRASE, which can analyze the reliability of a program with the effect of soft errors. Based on the simple probability theory and the corresponding...
This paper presents a novel two-phase stereo matching algorithm using the random walks framework. At first, a set of reliable matching pixels is extracted with prior matrices defined on the penalties of different disparity configurations and Laplacian matrices defined on the neighbourhood information of pixels. Following this, using the reliable set as seeds, the disparities of unreliable regions...
The use of multimedia in learning and testing has been gaining popularity over the last few years. In this paper, we describe a method for estimating difficulty level of a multimedia mathematical item type using Item Response Theory (IRT). Experimental results on determining the parameters of an IRT model through tests on a group of students are also presented. Linear regression equations are fitted...
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