Bioluminescence tomography is known as a highly ill-posed inverse problem. To improve the reconstruction performance by introducing anatomical structures as a priori knowledge, an automatic segmentation framework has been proposed in this paper to extract the mouse whole-body organs and…

Examination is undoubtedly one of good means to evaluate what and how much the examinees have mastered. Effective evaluation of the quality of curriculum examination will not only contribute to scientifically testing the students’ mastery of the knowledge but also…

Many complex systems can be described as networks to comprehend both the structure and the function. Community structure is one of the most important properties of complex networks. Detecting overlapping communities in networks have been more attention in recent years,…

A lot of complex systems in nature and society can be represented as the form of network. The small-scale subnets topological features are vital to understand the dynamics and function of the networks. Triangles comprised of three nodes are the…

The vehicle's kinematic model is established at the condition that the vehicle is in a low speed reversing movement. The particle swarm optimization algorithm is used to the path planning. Through analysing fuzzy control knowledge, use a fuzzy method to…

The quality of Instrument Flight Procedure Design Scheme (QIFPDS) is directly related to the terminal area airspace capacity, quality, efficiency of air traffic management, and even the safety of aircraft. Hence, the evaluation of QIFPDS has great significance in real…

Many kinds of uncertain factors may exist in the process of fault diagnosis and affect diagnostic results. Bayesian network is one of the most effective theoretical models for uncertain knowledge expression and reasoning. The method of naive Bayesian classification is…

Nowadays, the construction and application of digital library leads a new era of the way people obtain knowledge and information, and promotes the academic exchanges and social progress. Digital library, however, also involves great risk, hacker attacks become the main…

In this paper, the existence, uniqueness and globally exponential stability of the equilibrium point of a dynamic neural network with distributed delays were studied without assumption of boundedness and differentiability of activation functions. Sufficient criteria for existence, uniqueness and global…

Data scale becomes a bottleneck in user behaviors analysis, many data mining algorithms become Inefficient slow in this circumstances. This paper explores an effective approach to mine latent knowledge in large scale data, which combines the basal principles of association…