Advanced Materials Research Vols. 1030-1032

Abstract: Aiming at the dynamic characteristic of batch production process changes fast and the accurate modeling of it is difficult, so this paper proposes an intermittent fault detection method of the principal component analysis based on process segment. According to the different dynamic characteristics of process data, the process is divided into multiple stages, with the method of piecewise linear approximation of nonlinear modeling to model different stages of the process, in order to make up the deficiency of traditional MPCA fault diagnosis methods. Through the fault detection of the beer fermentation process experiments to verify that the method can detect process faults promptly and improve the speed and accuracy of process monitoring.

Abstract: Through the research on the flow identification algorithm based on statistical feature, this paper puts forward the statistical feature selection algorithm in order to reduce the number of features in identification, increase the speed of the flow identification, the experimental results show that the algorithm can effectively reduce the amount of features, improve the efficiency of identification.

Abstract: The classic problem of the existence of fractal coding time is too long, a kind of fast encoding algorithm was proposed in this paper, which is based on Wavelet and Fractal combined, using wavelet decomposition characteristics. This method reduces the amount of image data compression effectively, shorts coding time and improve the image encoding quality.

Abstract: With the development of the society, traditional video monitoring could not meet the users’ demand of video surveillance. Setting up a video monitoring system on the cloud platform is necessary. Video monitoring system can meet the users’ demand of search video, upload video, video storage, video transcoding and download video.

Abstract: In industrial production, the machine vision save a lot of manpower and material resources. And it has become an indispensable part of quality control solutions in automobile and parts manufacturing. In order to detect the integrity of automatic assembly for lamp parts, we first use the shape feature to determine whether the part shape is right through egde detection and template matching algorithms. And if the shape is right, we can further detect the color feature which are different in different sales regions using the color moments. As a result, the missing and mistake packing can be detected.

Abstract: This paper focuses on the Banzhaf value for cooperative games where the set of players is restraint on augmenting systems and the coalition values are compact intervals of real numbers. The interval Banzhaf value for cooperative interval games on augmenting systems is put forward on the basis of corresponding axiomatic system and operations of interval numbers. Moreover, some properties of the interval Banzhaf value are given. Finally, a practical example is offered to illustrate the validity and feasibility of this method on these kinds of cooperative interval games.

Abstract: A new multi-objective optimization algorithm based on incrementally Pareto fitness is proposed in this paper. To overcome the directly calculate the Pareto fitness matrix expensively, we adopt to make full use of information of last iteration at each stept to update the Parteto fitness matrix gradually. Experiments proved the highest efficiency of the new method.

Abstract: This paper introduces the research background of computer face recognition technology, and puts forward a method of using kernel principal component analysis (KPCA) method and improved BP neural network methods for analysis and identification of multi view face images. The experimental results show that this algorithm is both effective and accurate. It achieved a higher recognition rate and excellent resistance to noise.

Abstract: Radar obtains motion information of target from received modulated electromagnetic waves, which is usually periodical pulses or continuous waves. In this process, noise will affect the detection performance. However, as a modulated transmitting signal, noise has incomparable advantages over traditional radar. In this article, the mechanism of noise as modulation signal is introduced, and subsequently focused on the principles of distance ranging the corresponding estimation methods are proposed. Besides, the interference resistance characters of noise radar is verified by simulation.

Abstract: This paper takes the large-scale 3D scene as research background, and proposes an efficient pathfinding based on Navigation Mesh. For common 3D scene map, editable NavMesh data is generated for assisting to achieve efficient pathfinding. Compared with the classical A* algorithm, this paper makes an improvement in evaluation function, and develops heuristic search of A* algorithm, focuses on the path finding with assist of NavMesh data. Experimental results show that the proposed algorithm can reduce the search space, and improve the pathfinding algorithm running speed and memory overhead. The algorithm is more applicable to the common 3D scene and the NavMesh data is easy to edit.