In this paper, a relatively flexible filter called extended bilateral filter is proposed, by which some particular filters can be designed via selecting an appropriate pixel of interest (POI) and defining a kernel for...
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Fourier-Mellin transform (FMT) is frequently used in content-based image retrieval and digital image watermarking. This paper extends the application of FMT into image registration and proposes an improved registratio...
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Most of real-life scheduling problems are semi on-line scheduling,where we do not know all the time variables of jobs in ***,solving such dynamic problems is a hot topic of research in Constraint *** this paper we ana...
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Most of real-life scheduling problems are semi on-line scheduling,where we do not know all the time variables of jobs in ***,solving such dynamic problems is a hot topic of research in Constraint *** this paper we analyze the constraints in the semi on-line scheduling problems and introduce the concept of monotonic about constraints which appear in general dynamic constraint *** designed a generic dynamic constraint solving algorithm for solving the scheduling *** give an example of its application to semi on-line discrete resource-constrained scheduling problem(ship-loading problem).
In this article, we investigate the problem of preparing qualitative spatial relations before implementing spatial data mining by checking consistency in a constraint network, which includes topological and cardinal d...
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Intensity degradations are a familiar problem for fluorescein angiogram sequences. In this paper, we attempt to super-resolve a fluorescein angiogram, and to keep the high intensity pixels from degrading. To this end,...
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A voting-mechanism-based fuzzy neural network system is proposed in this paper. When constructing the network structure, a generalized class cover problem is presented and its two solving algorithm, an improved greedy...
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In this paper, we propose a new supervised compound learning algorithm for training our constructed approximated bivariate non-tensor product adaptive pre-wavelet neural network (APWNN). On the one hand, the linear we...
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In this paper, we propose a new supervised compound learning algorithm for training our constructed approximated bivariate non-tensor product adaptive pre-wavelet neural network (APWNN). On the one hand, the linear weights of APWNN are trained by the self-adaptive learning rate method. On the other hand an extended Kalman filter method is used to update the nonlinear parameters such as dilation parameters and translation parameters. Additionally we demonstrate the efficiency of our proposed method through a concrete example of function approximation.
In UML, a modeling language popularly used to describe models at different abstraction levels, sequence diagram and statechart are both used to represent systems' behavior models. A consistency problem may arise d...
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In UML, a modeling language popularly used to describe models at different abstraction levels, sequence diagram and statechart are both used to represent systems' behavior models. A consistency problem may arise due to the fact that sequence diagram represent interactive behavior of all objects, whereas statechart represent the complete behavior of one specific object. This paper proposes an approach checking the consistency between sequence diagrams and state diagrams. In our approach, statechart is formalized using finite state processes and sequence diagram is represented using messages trace. An existing tool LTSA is used to support our method.
The workflow model is the abstract expression of the workflow or the business process. Following the WfMC reference model, a PKI-based lightweight workflow model named as PBLW is put forward in this paper. The framewo...
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The workflow model is the abstract expression of the workflow or the business process. Following the WfMC reference model, a PKI-based lightweight workflow model named as PBLW is put forward in this paper. The framework of PBLW is proposed. Based on the time constraint directed graph, the workflow theory model in formalization is described in detail, and the time constraint problems are discussed in order to enhance the time management ability of the workflow model. Furthermore, in order to express the complicated secure access control constraint of the workflow, a conditioned RBAC model based on PKJ technology is presented, according to the traditional RBAC security access control model. Finally, the workflow engine driven algorithms for the workflow instance are given. By the actual inspection and users' feedback, it proves that this model can express the basic requirements of a majority of the process applications.
The reduct of Boolean functions is widely used in many applications, for example: digital circuits. In this paper, we present an approach, which is based on primes, to representing the Boolean system. We present an al...
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The reduct of Boolean functions is widely used in many applications, for example: digital circuits. In this paper, we present an approach, which is based on primes, to representing the Boolean system. We present an algorithm for reduct of Boolean functions based on primes, and the cost of the algorithm is analyzed to indicate that the algorithm is efficient.
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