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The traditional clustering algorithms are designed for large dataset or vary large dataset. It is not easy to cluster the small dataset because of the loss of the statistical character and probability character. In this paper, the class ration is introduced, based on the class ratio, the dynamic clustering algorithm is proposed. The dataset are divided into all possible classes, and the class ratios...
How to find and select services in enterprise applications when building enterprise service bus (ESB) platform has become a hot research topic. The existing QoS-based services selection and binding approaches always pay attention to the quality of successful service execution, and lose sight of the possibility that the services execution would be failed. Unfortunately, in many loose-couple environments,...
The modularization of services has attracted some attention in recent years. Such modularization improves the performance, maintenance and reuse of smaller, more manageable pieces of component parts, and also provides insight into the overall structure of the business processes. This paper develops a methodology to determine the modularization services of business processes. This metholow couplingdology...
Memory cores usually occupy a significant portion of the chip area of a complex system-on-chip. Thus, the yield of memory cores dominates the yield of the chip. Diagnosis and repair are two important techniques for memory yield improvement. In this paper, we propose two efficient diagnosis algorithms for drowsy static random access memories (SRAMs). The first diagnosis algorithm, March D2, can be...
Infrared images are widely used for many purposes. A recognition system of IR targets is essential for equipments that have to work in dark. In this paper, we proposed an IR image weak target recognition algorithm by discrete-time cellular neural network (DTCNN). We constituted an IR image weak target recognition system with DTCNN. The proposed method only requires a 3×3 neighborhood. We used a variable...
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