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Abstract: The semantic web services (SWSs) discovery is the process of finding a service that can possibly satisfy the user requirements, choosing between several services, and composing services to form a single service. The matchmaking between the user request and SWSs is the main task of any SWSs discovery mechanism. In this paper, a semantic distance-based matchmaking algorithm (SDMA) is introduced. The idea behind SDMA is to use the measurement of the semantic distance between the user request and the tested service as an indicator of the degree of relevance between them. In addition to many proposals, a new concepts tree is proposed to perform the process of computing the semantic distance between two concepts. SDMA bases on many concept-to-concept semantic distance measures that are modified and adapted. A deep evaluation process is performed to validate the great impact of using semantic distance measures in the field of SWSs matchmaking. [Copyright &y& Elsevier]

Abstract: This paper proposes a probability formulation that unifies both single-image deblurring and multi-image denoising using variational inference. The proposed formulation is based on a theoretical analysis that compares denoising and deblurring in the same probabilistic framework, and supported by a practical approach that deal with general motion that creates HDR images in the presence of spatially varying motion. Based on this formulation, a new algorithm for deblurring a noisy and blurry image pair is presented. Besides, we provide also an approach that combines existing optical flow and image denoising techniques for High Dynamic Range imaging. [Copyright &y& Elsevier]

Abstract: A new construction adder based on Chinese abacus algorithm is presented in this paper. There are two kinds of beads used in this construction. Each column element has three higher beads with a weight of four and three lower beads with a weight of one. The proposed 32-bit adder contains eight column elements. The construction was simulated by the technology of TSMC 0.18μm CMOS process. Layout was also made by the same technology. The maximum delay of the 32-bit abacus adder is 0.91ns and 14% less than that of Carry Look-ahead Adders for 0.18μm technology. The power consumption of the abacus adder is 3.1mW and 28% less than that of Carry Look-ahead Adders for 0.18μm technology. Recent researches are compared with the proposed adder. The construction was also simulated by Predictive Technology Model. The PTM results also presented. The use of Chinese abacus approach offers a competitive technique with respect to other adders. [Copyright &y& Elsevier]

Abstract: Thresholding method based on transition region is a newly developed approach for image segmentation in recent years. In this paper, a novel transition region extraction and thresholding method based on gray level difference is proposed by analyzing properties of transition region. The gray level difference can effectively represent the essence of transition region. Hence, the proposed algorithm can accurately extract transition region of an image and get ideal segmentation result. The proposed algorithm was compared with two classic transition region-based methods on a variety of synthetic and real world images, and the experimental results show the effectiveness and efficiency of the algorithm. [Copyright &y& Elsevier]