Abstract We recently proposed an innovative agile crossbar switch architecture called Contention-Tolerant Crossbar Switch, denoted as CTC (N), where N is the number of input/output ports. CTC (N) can tolerate output contentions instead of resolving them by complex hardware, which makes CTC (N) simpler and more scalable than conventional crossbar switches. In this paper, we analyze the main factors that influence... We recently proposed an innovative agile crossbar switch architecture called Contention-Tolerant Crossbar Switch, denoted as CTC (N), where N is the number of input/output ports. CTC (N) can tolerate output contentions instead of resolving them by complex hardware, which makes CTC (N) simpler and more scalable than conventional crossbar switches. In this paper, we analyze the main factors that influence the performance of CTC (N) and present an improved contention tolerant switch architecture - Diagonalized Contention-Tolerant Crossbar Switch, denoted as DiaCTC (N). DiaCTC (N) maintains all good features of CTC (N), including fully distributed cell scheduling and low complexity. Simulation results show that, without additional cost, the performance of DiaCTC (N) is significantly better than CTC (N). Read More Read Less

Abstract UML is a standard modeling language with an open notation and several concepts to be widely used in software modeling. However, UML suffers from a lack of formal semantics. So their models still need to be formally checked against incoherencies or inconsistencies. To reach this goal we propose in this paper, a framework and a tool based on graph transformation... UML is a standard modeling language with an open notation and several concepts to be widely used in software modeling. However, UML suffers from a lack of formal semantics. So their models still need to be formally checked against incoherencies or inconsistencies. To reach this goal we propose in this paper, a framework and a tool based on graph transformation allowing an automatic translation of some UML diagrams to equivalent Maude formal specifications. To realize this automatic mapping we use UML Class diagram formalism to define three meta-models. The first one for Class Diagram, the second for State Machine Diagram and the third for the Communication Diagram. Then, we propose a graph grammar to generate Maude specifications of the UML diagrams based on theses meta-models. The meta-modeling tool AToM3 is used to produce our visual modeling tool according to the proposed UML meta-models. An example is presented to illustrate our approach. Read More Read Less

Abstract In this research, the importance of having a balanced basis of texture classified images are analyzed. It obtained on brodatz images even though the latter are more numerous on the web resources. The proposed algorithm shows a way to improve performance. A textual analysis of the Gabor filtered images based on the combination of text on co-occurrence matrix with shearlet... In this research, the importance of having a balanced basis of texture classified images are analyzed. It obtained on brodatz images even though the latter are more numerous on the web resources. The proposed algorithm shows a way to improve performance. A textual analysis of the Gabor filtered images based on the combination of text on co-occurrence matrix with shearlet band signatures based texture classification of 40 Brodatz texture images is presented. The entropy lineage parameters of redundant and interpolate at a certain point which congregating adjacent regions based on geometric properties then the classification is apprehended by comparing the similarity between the estimated distributions of all detail sub bands through the strong LPboosting classification with various weak classifier configurations. We show that the resulted texture features while incurring the maximum of the discriminative information. Our hybrid classification method significantly outperforms the existing texture descriptors and stipulates classification accuracy in the state-of-the-art real world imaging applications. Read More Read Less

Abstract In present days, Authentication by means of biometrics systems is used for personal verifications. In spite of having existing technology in biometrics such as recognizing the fingerprints, voice/face recognition etc., the vein patterns can be used for the personal identification. Finger vein is a promising biometric pattern for personal identification and authentication in terms of its security and convenience. Finger... In present days, Authentication by means of biometrics systems is used for personal verifications. In spite of having existing technology in biometrics such as recognizing the fingerprints, voice/face recognition etc., the vein patterns can be used for the personal identification. Finger vein is a promising biometric pattern for personal identification and authentication in terms of its security and convenience. Finger vein has gained much attention among researchers to combine accuracy, universality and cost efficiency. We propose a method of personal identification based on finger-vein patterns. An image of a finger captured under infrared light contains not only the vein pattern but also irregular shading produced by the various thicknesses of the finger bones and muscles. The proposed method extracts the finger-vein pattern from the unclear image by using gradient feature extraction algorithm and the template matching by Euclidean distance algorithm. The better vein pattern algorithm has to be introduced to achieve the better Equal Error Rate (EER) of 0.05% comparing to the existing vein pattern recognition algorithms. Read More Read Less