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Featured researches published by Yin Yixin.


international conference on industrial and information systems | 2010

A design of phased array antenna based on the Vivaldi antenna

Chen Xianzhong; Yin Yixin; Hou Qingwen; Li Xiaoli; Zhu Menghui; Liu Kangli

A new design process of a phased array antenna at 2GHz is presented by the simulation method. First a suitable antenna pattern for the radiator of Vivaldi is selected as a slot antenna with light weight, small volume, low cost and high gain. A kind of the analysis software of high frequency structure simulation CST MWS is optimized for the VSWR and radiation pattern. However, several antennas with certain arrangement are often used to make up antenna array to realize beam synthesis. 1*10H-plane linear array and 16*10 planar arrays are designed and simulated in this paper. Since behavior of element is not directly relevant to their behavior in the array, mutual coupling effect is discussed after the radiator design. The influence on the radiation pattern caused by the number of the array, the distance of the adjacent elements and the phase and the amplitude of the source current are all analyzed, and a simulation result for the parameter design of antenna array is analyzed either.


ieee international conference on computer science and information technology | 2009

Research of text clustering based on fuzzy granular computing

Zhang Xia; Yin Yixin; Xu Mingzhu; Zhao Hai-long

The typical algorithm of text clustering is a “Hard Partition” one, Actually, Chinese text is better to treat with “Soft Partition” for its diversity and largeness. The fuzzy-set theory supply a powerful analyzing tool to this “Soft partition”. Traditional fuzzy text clustering methods mostly are getting the fuzzy equivalent matrix or fuzzy division by iterating the matrix of membership degree, huge storage space is necessary for that process. The text clustering based on fuzzy granular computing will work as: first provide a normalized distance function in the fuzzy granularity space of text set, then use the function to do a dynamic clustering work to text who has a less distance than granularity. Approved by the test, this method has such advantages on reducing the computing complexity and space complexity, suitable for the status that many samples need to be processed.


international conference on networking, sensing and control | 2005

An associative memory fault-tolerance control for model signal of intelligent control system

Yang Guo-wei; Yin Yixin; Tu Xuyan

Because artificial brain associative memory neural networks have property of nonlinear mapping, fault-tolerance power and learning capability, they have especial advantages for fault-tolerance control. This paper proposes an associative memory neural network of artificial brains controllable fault-tolerant field, which can be used as fault-tolerance apparatus for model signals of intelligent control system. The model signal fault-tolerance apparatus differs from other ones and can design proper fault-tolerant fields for signals based on the fault-tolerance request of intelligent control system. The fault-tolerance of the control system can be heightened when the fault-tolerance apparatus is embedded in a right control system.


international conference on industrial and information systems | 2010

The simulation and structural optimization of ultrasonic transducer

Chen Xianzhong; Yin Yixin; Hou Qinwen; Jin Liwei; Li Xiaoli

The study on finite element analyses of ultrasonic transducer is presented by using the finite element software ANSYS. The transducer is treated as 1/18 3-D finite element analysis modeling to study the ultrasonic transducer acoustic performance. The model of ultrasonic transducer is used in modal analysis and harmonic solutions to understand its mechanical behavior and its natural frequency. Modal identification of the structure can avoid the acoustic resonance mode and reduce the low frequency noise on transducer, provide an effective method for obtaining the acoustic mode of the transducer. The results of finite element simulation analyses show the available of ANSYS in modeling of the simply structure of ultrasonic transducer.


international conference on computer application and system modeling | 2010

Research on the simplified algorithm of unobstructed areas radar calculation

Pan Guangzhen; Yin Yixin

Based on the current methods of the radars unobstructed areas calculation, this paper presents a simplified calculation, which is called the gradually reduced unobstructed areas calculation‥ The projection of unobstructed areas that this method produced is intuitive, and the detection of invasive aerocraft is simple, which is applicable to the calculation of a smaller range of the radars scan. Though the verification of MATLAB, the processing speed and space using have been greatly improved. In other words, it improves not only time efficiency but also space efficiency.


Journal of Systems Engineering and Electronics | 2008

Interaction model of artificial fish in virtual environment

Meng Xiangsong; Ban Xiaojuan; Yin Yixin

Abstract Conventional artificial fish has some shortages on the interaction with environment, other fish, and the animator. This article proposes a multi-tier interaction control model of artificial fish, realizes the interaction model through integration of virtual reality technology and Markov sequence, and provides a virtual marine world to describe the interaction between artificial fish and the virtual environment and the interaction between the artificial fish and the animator. Simulation results show that the interaction model owns not only the basic characteristics of virtual biology, but also has high trueness interaction function.


chinese control conference | 2006

A Fast Road Image Segmentation Algorithm Based on Cellular Neural Networks

Xu Guobao; Yin Yixin; Yin Lu; Hao Yanshuang; Zhou Meijuan

The main factors that affect segmentation of unstructured road images are shadows and water marks on the road surface. Taking advantage of the parallel image processing capability of cellular neural networks, a fast algorithm for road image segmentation based on cellular neural networks was proposed. In the algorithm, gray threshold segmentation, dilation and erosion, and edge detection using CNN are performed successively. Experimental results demonstrated that the algorithm has strong environmental adaptability, which can fast segment structured and unstructured roads. The proposed method can segment the lane area quickly, effectively and robustly, and can eliminate the influence of shadows and water marks on the segmentation of road images.


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 neural networks and brain | 2005

Reproduction Mechanism of Digital life

Ai Dongmei; Ban Xiaojuan; Yin Yixin; Tu Xuyan

Digital life, the creation and study of manmade systems that exhibits characteristics of life, offers a method of investigation into essential properties of life. Digital life system SEBRED, which extends upon previous system Avida, was designed to help in investigations into the sexual reproduction. The sexual reproduction mechanism of digital life is designed by utilizing the genetic programming principle in this paper, the cross breeding mechanism of natural life is introduced into digital life, and the cross breeding mechanism of digital life is designed, so as to avoid the disadvantage of inbreeding reproduction and improve the life feature of digital life


international conference on neural networks and brain | 2005

Study on Strip Steel Rolling Intelligent Control System based on Multi-agent

Dong Jie; Yin Yixin; Tu Xuyan

According to the framework of intelligent control systems (ICS) based on artificial life, we raise an intelligent way to realize strip steel rolling control making use of multi-agent technology in the paper. The artificial life characteristics of the system are discussed as well

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Tu Xuyan

University of Science and Technology Beijing

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Li Qing

University of Science and Technology Beijing

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Chen Xianzhong

University of Science and Technology Beijing

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Xu Lingyi

University of Science and Technology Beijing

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Dong Jie

University of Science and Technology Beijing

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Hou Qingwen

University of Science and Technology Beijing

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Tong Chaonan

University of Science and Technology Beijing

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Wang Lijun

University of Science and Technology Beijing

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Ban Xiaojuan

University of Science and Technology Beijing

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Li Xiaoli

University of Science and Technology Beijing

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