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Dive into the research topics where Zeng Guangping is active.

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Featured researches published by Zeng Guangping.


conference on industrial electronics and applications | 2011

Image enhancement technique based on improved PSO algorithm

Gao Qinqing; Chen Dexin; Zeng Guangping; He Ketai

In this paper, image enhancement is considered as an optimization problem and improved PSO(Particle Swarm Optimization) is used to solve it. Also in it, parameterized transformation function is used, which uses global and local information of the image. And an objective criterion for measuring image enhancement — taking fully consideration of the entropy of the image and edge information — is proposed. The main job of this paper tries to achieve the best image enhancement function with the help of improved PSO — parameters optimization. Results have been proved out better compared with other enhancement techniques, such as HE(Histogram Equalization), LCS(Linear Contrast Stretching) and GAIE(Genetic Algorithm based on Image Enhancement).


international conference on networking, sensing and control | 2005

SoftMan and agent

Lu Qingling; Zeng Guangping; Zhang Wei; Tu Xuyan

SoftMan is a new concept based on the production of distributed technique, intelligent robot and artificial life. SoftMan is the development of a mobile agent and is a virtual robot in the network environment. It inherited many research fruits of robot and agent. Therefore, it has the essential features of the intelligent robot and agent, and at the same time has life features. Comparing with the agent, SoftMan not only has more all-around humanized intelligence, humanized behavior and function, but also has the ability of environment identification, self-determination and free will. SoftMan has some digital life features which agent has none, such as activity, learning and evolution, inheritance, variation and emotion. The corresponding theory and technology fruits provided a good foundation and reference for studying SoftMan. At first, this paper introduces the technology of SoftMan and agent, and then discusses the relationship between SoftMan and agent from the viewpoint of structure model, function, implementation technique, and application example.


international symposium on autonomous decentralized systems | 2005

Autonomous decentralized organization model and coordination control of SoftMan Crowd

Zeng Guangping; Lu Qingling; Zhang Shumin; Chen Ming; Tu Xuyan

On the basis of the concept of Intelligent Autonomous Decentralized Systems (IADS) and SoftMan, the organization structural model and coordination control schedule of SMC (SoftMan Community) is put forward, SM.man management and control strategy is designed and the coordination control characteristics, forms and strategy of SMC are discussed. At the same time, the interacting control mechanism of local SMC and remote SMC is discussed.


international conference on neural networks and brain | 2005

Study on Artificial Emotion Model

Ning Shurong; Pang Jie; Xu Guangmei; Zeng Guangping; Tu Xuyan

Artificial emotion is a companion volume of artificial intelligence. Emotion is key to human action of decision-making. Emotion, intelligence and behavior have intimate relations. Emotion model is a vital question to the research of artificial emotion. This paper introduces generalized model of artificial emotion and emotional control model in softman control system. Erf (emotion restrain factor) and Eef (emotion excursion factor) are brought forward. Erf , Eef and V out are the three elements of emotional control in softman. Results of simulation prove that influence of Eef to emotional control is stronger than that of Erf. It matches the natural behaviors of human emotion


Archive | 2012

Intelligent Acquisition Modeling Based on Intelligent Information Push-Pull Technology

Wang Hong-Bo; Zeng Guangping; Tu Xuyan

Due to distribution and internal complexity of the issue, one of the key problems in Multi-Agents Communication. Sub-Acquisition need to communicate, so that they can mutually exchange information, or coordination or collaboration to complete tasks in order to achieve the purpose of solving. The introduction of Intelligent information push and pull technology can improve the intelligence level of network and database. It can find a fundamental solution to the problems encountered during these technology applications. The main advantages of Information Pull technology are: better targeted, light source task. Its shortcomings are as follows: poor timeliness.It require the user to have a certain expertise. In order to solve these Pull technology problems, information push technology has come into being.


international conference on neural networks and brain | 2005

The Design on Models of Softmen Based on Self-reproduce

Ban Xiaojuan; Ai Dongmei; Zeng Guangping; Tu Xuyan

SoftMen are virtual robots that have characters of distributed mobile agent, robot and artificial life living in network. The characters of research platform for SoftMan are introduced. The models of SoftMan about fitness, physiological development, self-reproduce and sport are given. And the models of the SoftMan group are depicted


international conference on neural networks and brain | 2005

Furnishment Logistics Supply Chain Intelligent Management Model based on Multi-SofiMan

Lu Qingling; Zeng Guangping; Yin Yixin; Tu Xuyan; Zhang Wei

In the process of armored furnishment logistics supply chain management, its an important research content how to improve the turnover efficiency of armored furnishment, reduce the stock cost, arrange production flow rationally, reduce the stocks of armored furnishment, how to establish distribution plan and transportation scheme, save unwanted expenditure and serve for the army armored furnishment management. Setting up scientific and intelligent management model is the best approach to solve this problem. SoftMan is an agent with artificial life. This paper put forward the structure model of SoftMan. It sort and combine some function role of real supply chain entity based on different operation and decision popedom. This method of compartmentalizing role and designing SoftMan is in favor of manager understanding model faster and better, at the same time, coordination relationship among SoftMan is in favor of the system expansibility


international conference on networking, sensing and control | 2005

Computer animation based on artificial life and artificial intelligence: the research of artificial fish

Ban Xiaojuan; Ai Dongmei; Zeng Guangping; Tu Xuyan

In this paper, self-reproduction characteristic of artificial life is introduced to computer animation. A self-reproduction model of artificial fish based on gene control is put forward and built. Based on artificial fishs phenotype, the contents of its chromosome are given. Based on this model, heredity rules are given. Artificial fish could reproduce and grow in the virtual marine environment freely controlled by the gene model and rules. Artificial behaviors include predefined behaviors and nondeterminate behaviors. Cognitive models based on Artificial Intelligence is put forward and built to control behaviors of artificial fish in high level. Simulation program is designed and developed based on all these models built above. These made groundwork to improve the efficiency and automatic level of artificial fish animation.


Chinese Journal of Electronics | 2016

Set Pair Fuzzy Decision Method Based on Cloud Model

Wu Aiyan; Ma Zhonggui; Zeng Guangping


Wireless Personal Communications | 2007

Using Network Processor to Establish Trustworthy Agent Scheme for AODV Routing Protocol

Chen Hongsong; Wang Zhaoshun; Zeng Guangping; Liu Hongwei

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Tu Xuyan

University of Science and Technology Beijing

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Lu Qingling

University of Science and Technology Beijing

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Ai Dongmei

University of Science and Technology Beijing

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Zhang Wei

University of Science and Technology Beijing

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Ban Xiaojuan

University of Science and Technology Beijing

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Pang Jie

University of Science and Technology Beijing

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Yin Yixin

University of Science and Technology Beijing

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Chen Hongsong

University of Science and Technology Beijing

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Chen Ming

University of Science and Technology Beijing

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Gao Qinqing

University of Science and Technology Beijing

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