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Search Results: 1 - 10 of 164903 matches for " JIANG Yun-fei CHEN Ai-xiang MAO Ming-zhi "
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Planning of Process Action Flow with Real-time Reaction Based on Planning Graph

CHAI Xiao-long,JIANG Yun-fei CHEN Ai-xiang MAO Ming-zhi,

计算机科学 , 2009,
Abstract: The software process control with intelligence also with its computing technology is a new research direction in recent years.And it is promising that it will exert an influence on the study of software process.PARPS(Process Action Real-Time Planning System) based on planning graph was presented.It can make a planning of process action arrangement automatically.Furthermore,the algorithm of process action planning has the ability of real-time reaction.It can make a real time reaction to all kinds of real eff...
Research on Multi-Agent CRM System Model and its Cooperative Communication

MAO Ming-zhi,JIANG Yun-fei,

计算机科学 , 2008,
Abstract: Customer relation management is an important mean to help the company to give us the advantage in the competition. This paper discusses the cooperative communication of agents under the multi-agent CRM system model,it improves the capability of automation in service process,enhances the ability of cooperation between the modules in the system,gives a new way to improve the existing CRM products.
Research on Intelligent Diagnosis for Composite System

WU Li-hua,JIANG Yun-fei,Chen Ai-xiang,

计算机科学 , 2008,
Abstract: With the gradual complication of some electronic system,using a single reasoning technology is more and more difficult to meet the demand of the fault diagnosis.Combining two or more reasoning technique is a trend of de- velopment of intelligent diagnosis,which can make use of their advantages and improve its efficiency.In this paper we discuss the intelligent diagnosis problem,propose a diagnosis architecture for the composite system,which combines rule-based diagnosis with model-based diagnosis.These two ...
Research on the Formal Representation of Planning Problem

CHEN Ai-xiang,JIANG Yun-fei,CAI Xiao-long,

计算机科学 , 2008,
Abstract: Intelligent planning is a challenge topic on the field of artificial intelligence,and it has broad application background.The first problem in automated planning is how to formally represent the realistic planning problem.In this paper,we systematically analysis several kind of formally representation technologies such as situation calculus,STRIPS,PDDL,HTN technology,systematically discuss how to characterize the realistic planning problem formally and point out further direction to improve the current auto...
A Gradual Approach for Model-Based Diagnosis

ZHANG Xue-Nong,JIANG Yun-Fei,CHEN Ai-Xiang,ZHANG Li-Cheng,

软件学报 , 2008,
Abstract: This paper investigates the decomposition of diagnosis problem and gives a theorem for decomposition and combination of the diagnosis. On the basis of the above work, an algorithm using gradual approach to decomposing the diagnosis problem is proposed. Besides, the correctness, completeness and complexity of the algorithm are proved in this paper. The experimental results indicate that the algorithm can apparently improve the effectiveness of diagnosing multi-output system. Comparing with the method of decomposition by assuming instantiations of some variables, the algorithm is more efficient and applies to more general diagnosis problems.
Research of Learning-based Planning Techniques

CHEN Ai-xiang,JIANG Yun-fei,HU Gui-wu,CHAI Xiao-long,BIAN Rui,

计算机科学 , 2011,
Abstract: After nearly 10 years of effort, the mordern smart planner, whether its efficiency or processing capacity, all have been greatly enhanced. Subject to the limitations of current planning theory, to further enhance the efficiency of existing planning techniques under current framework has become more difficult Existing planners have not to learn ability, most of them, can not learn from previous experience, useful knowledge to solve. In this paper, we first review the development of planning techniques to learn, and then focused on learning techniques used on the best learning-based planner among international planning competition, concluded the main problems and challenges in current learning technology research of planning.
Weak Diagnosis Model Based on System Structure

ZHANG Xue-Nong,JIANG Yun-Fei,CHENG Ai-Xiang,

计算机科学 , 2007,
Abstract: This paper presents a weak diagnosis model based on system structure. Using structure information, an effective method for finding weak diagnosis is brought out. Not losing any possible diagnosis, the diagnosis space is reduced. Some systems which limited knowledge is known can not be got the consistency-based diagnosis. But we also can get their weak diagnosis. Furthermore, the relation between weak diagnosis, consistency-based diagnosis and cau sality diagnosis is discussed. At last, this paper defines the adoptability of diagnosis and proves that weak diagnosis and consistency based diagnosis are adoptable.
The LAMOST Survey of Background Quasars in the Vicinity of the Andromeda and Triangulum Galaxies -- II. Results from the Commissioning Observations and the Pilot Surveys
Zhi-Ying Huo,Xiao-Wei Liu,Mao-Sheng Xiang,Hai-Bo Yuan,Yang Huang,Hui-Hua Zhang,Lin Yan,Zhong-Rui Bai,Jian-Jun Chen,Xiao-Yan Chen,Jia-Ru Chu,Yao-Quan Chu,Xiang-Qun Cui,Bing Du,Yong-Hui Hou,Hong-Zhuan Hu,Zhong-Wen Hu,Lei Jia,Fang-Hua Jiang,Ya-Juan Lei,Ai-Hua Li,Guang-Wei Li,Guo-Ping Li,Jian Li,Xin-Nan Li,Yan Li,Ye-Ping Li,Gen-Rong Liu,Zhi-Gang Liu,Qi-Shuai Lu,A-Li Luo,Yu Luo,Li Men,Ji-Jun Ni,Yong-Jun Qi,Zhao-Xiang Qi,Jian-Rong Shi,Huo-Ming Shi,Shi-Wei Sun,Zheng-Hong Tang,Yuan Tian,Liang-Ping Tu,Dan Wang,Feng-Fei Wang,Gang Wang,Jia-Ning Wang,Lei Wang,Shu-Qing Wang,You Wang,Yue-Fei Wang,Ming-Zhi Wei,Yue Wu,Xiang-Xiang Xue,Zheng-Qiu Yao,Yong Yu,Hui Yuan,Chao Zhai,En-Peng Zhang,Hao-Tong Zhang,Jian-Nan Zhang,Wei Zhang,Yan-Xia Zhang,Yong Zhang,Zhen-Chao Zhang,Gang Zhao,Ming Zhao,Yong-Heng Zhao,Fang Zhou,Xin-Lin Zhou,Yong-Tian Zhu,Si-Cheng Zou
Physics , 2013, DOI: 10.1088/0004-6256/145/6/159
Abstract: We present new quasars discovered in the vicinity of the Andromeda and Triangulum galaxies with the LAMOST during the 2010 and 2011 observational seasons. Quasar candidates are selected based on the available SDSS, KPNO 4 m telescope, XSTPS optical, and WISE near infrared photometric data. We present 509 new quasars discovered in a stripe of ~135 sq. deg from M31 to M33 along the Giant Stellar Stream in the 2011 pilot survey datasets, and also 17 new quasars discovered in an area of ~100 sq. deg that covers the central region and the southeastern halo of M31 in the 2010 commissioning datasets. These 526 new quasars have i magnitudes ranging from 15.5 to 20.0, redshifts from 0.1 to 3.2. They represent a significant increase of the number of identified quasars in the vicinity of M31 and M33. There are now 26, 62 and 139 known quasars in this region of the sky with i magnitudes brighter than 17.0, 17.5 and 18.0 respectively, of which 5, 20 and 75 are newly-discovered. These bright quasars provide an invaluable collection with which to probe the kinematics and chemistry of the ISM/IGM in the Local Group of galaxies. A total of 93 quasars are now known with locations within 2.5 deg of M31, of which 73 are newly discovered. Tens of quasars are now known to be located behind the Giant Stellar Stream, and hundreds behind the extended halo and its associated substructures of M31. The much enlarged sample of known quasars in the vicinity of M31 and M33 can potentially be utilized to construct a perfect astrometric reference frame to measure the minute PMs of M31 and M33, along with the PMs of substructures associated with the Local Group of galaxies. Those PMs are some of the most fundamental properties of the Local Group.
A simple theoretical model for evaluating the ability to form a single crystal

Jin Yun-Fei,Ming Chen,Ye Xiang-Xi,Wang Wei-Min,Ning Xi-Jing,

中国物理 B , 2010,
Abstract: A simple theoretical model proposed recently to evaluate the ability of bulk materials to form single crystals is further tested via vast molecular dynamics simulations of growth for fcc (Ni, Cu, Al, Ar) and hcp (Mg) crystals, especially applied to the growth of bcc (Fe) crystal, showing that the validity of the model is independent of crystal types and the interaction potentials of the constitute atoms.
The Research of Constraint Satisfaction Problems Encoding of Planning Problems

WU Li-Hua,CHEN Ai-Yang,JIANG Yun-Fei,

计算机科学 , 2006,
Abstract: The planning solution based on constraint satisfaction problem(CSP) is one of the most important methods of researching intelligent planning. Encoding planning problems into CSPs play a major role in planning solving. In this paper, we focus on the encoding of planning problems into CSP and describe some existing satisfiability procedures that have been used extensively for planning, and the discussion of the application problem about domain knowledge in encoding approach is presented.
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