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A decomposition method for object-oriented systems based on iterative analysis of the directed weighted graph. Abstract: Aiming at the problem of how to acquire components from existing systems, this paper proposes a decomposition method for object-oriented systems based on iterative analysis of the directed weighted graph. This method uses the directed(More)
—In this paper, we utilize Chemical Reaction Optimization (CRO), a newly proposed metaheuristic for global optimization, to design Fuzzy Rule-Based Systems (FRBSs). CRO imitates the interactions of molecules in a chemical reaction. The molecular structure corresponds to a solution, and the potential energy is analogous to the objective function value.(More)
Anchor free location algorithm realizes locating the nodes in the wireless sensor networks only by the wireless transceiver equipped on each node, needs not add any other equipment or hardware. Moreover, anchor free location algorithm, which needs no anchor or only needs to elect some reference nodes during the location process, is very applicable to large(More)
OBJECTIVES The aims of this study were to: 1) assess the feasibility of left ventricular (LV) vortex flow analysis using contrast echocardiography (CE); and 2) characterize and quantify LV vortex flow in normal subjects and patients with LV systolic dysfunction. BACKGROUND Vortices that form during LV filling have specific geometry and anatomical(More)
Amyloid β(Aβ) peptides are important components of plaques in Alzheimer's disease(AD). A decrease in the CSF concentration of Aβ40 and Aβ42 is a potential biomarker for incident AD. In contrast, studies on plasma Aβ40 and Aβ42 concentrations have yielded contradictory results. To explore the relationship between plasma Aβ40 and Aβ42 concentrations and AD in(More)
Using the fast discrete curvelet transform, an image fusion algorithm based on adaptive pulse coupled neural networks (PCNNs) is proposed. PCNN is built in each high-frequency subband to simulate the biological activity of human visual system. Support vector machine is employed to achieve support values which represent subband features and then will be(More)
To improve real-time performance and accuracy are key aspects of collision detection. In view of that conventional algorithms of collision detection spend a lot of detection time, this paper presents a advanced algorithm. We adapts a parallel method based on MPI. At the same time, we use temporal-spatial coherence and spatial subdivision algorithm. First,(More)
In this paper, the student model of adaptive learning system based on semantic web has been established,which is based on theories such as cognition psychology,construction principle, humanism and utilizing ASP.NET, SQL Server, data mining technology and the semantic web excavation technology. This model mainly considers three factors including user study(More)