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Object Recognition Based on Improved Context model

Chinese Journal of Electronics 2018年第3期27卷 573-581页

作者： WEN Chenglin ZHOU Guangfu GAO Jingli LI Hongwei XU Xiaobin School of Automation Hangzhou Dianzi University College of Electrical Engineering Zhejiang University

An object recognition method is proposed in this paper by introducing the spatial location relationship of objects into the context model. The spatial-position information of the objects is first utilized to model the context model. The model parameters and dependency structure of objects can be learned by integrating the context information into the same probabilistic framework. The image recognition is accomplished by using the advantages of efficient inference of the tree structure model. The proposed method can greatly improve the object recognition rate and better keep the consistency of scenes. The effectiveness of the proposed algorithm is verified by testing and comparing with other existing algorithms in the actual dataset.

关键词： Context model tree model Co-occurrence tree Spatial relationships

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Mathematical modeling of Carcinogenesis Based on Chromosome Aberration Data

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Chinese Journal of Cancer Research 2009年第3期21卷 240-246页

作者： Xiao-bo Li School of Informatics Zhejiang Education Institute Hangzhou 310012 China

Objective： The progression of human cancer is characterized by the accumulation of genetic instability. An increasing number of experimental genetic molecular techniques have been used to detect chromosome aberrations. Previous studies on chromosome abnormalities often focused on identifying the frequent loci of chromosome alterations, but rarely addressed the issue of interrelationship of chromosomal abnormalities. In the last few years, several mathematical models have been employed to construct models of carcinogenesis, in an attempt to identify the time order and cause-and-effect relationship of chromosome aberrations. The principles and applications of these models are reviewed and compared in this paper. Mathematical modeling of carcinogenesis can contribute to our understanding of the molecular genetics of tumor development, and identification of cancer related genes, thus leading to improved clinical practice of cancer.

关键词： Carcinogenesis Chromosome aberration Mathematical model tree model Bayesian network Multivariate analysis

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Physics-based algorithm to simulate tree dynamics under wind load

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International Journal of Agricultural and Biological Engineering 2020年第2期13卷 26-32页

作者： Lifeng Xu Zhongzhu Yang Weilong Ding Gerhard Buck-Sorlin College of Computer Science&Technology Zhejiang University of TechnologyHangzhou 310026China IRHS INRAEAGROCAMPUS OUESTUniversitéd'AngersSFR 4207 QUASAV42 rue Georges Morel49071 BeaucouzécedexFrance

Rapid development in the different computer science fields during the recent decades has facilitated the creation of new applications in the area of dynamic simulation of plant *** these new applications,simulation of trees swaying in the wind is of great importance,as those computer graphics related areas,e.g.,computer games,tree cultivation and forest management simulations,help a lot in revealing the mechanisms of tree dynamics under wind ***,it is a big challenge to balance the effect of visualization in real time and calculation efficiency for any simulation algorithm.A physics-based algorithm to simulate tree dynamics under wind load was proposed in this study.A mechanistic model simulating the bending of a cantilever beam was used within the algorithm to simulate deformation of stems,and the algorithm was integrated with a landscape model in which different types of trees were constructed with an L-system-based *** results show that realistic dynamic effects can be achieved with reasonably high computational efficiency.

关键词： physics-based algorithm tree model L-system Cantilever beam

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