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2014 5th International Conference on Information Technology for Manufacturing Systems(ITMS 2014)

作者： Ziyan Shi Guolin Zhao Qiaolin Hu Air Force Early-Warning Academy

The security evaluation for an information network system is an important management tool to insure its normal operation. We must realize the significance of the comprehensive network security risks. A network evaluation model and the algorithm are presented and adapt the hierarchical method to characterize the security risk situation. The evaluation method is used to evaluate the key nodes and the mathematics is used to analyze the whole network security situation. Compared with others, the method can automatically create a rule-based security evaluation model to evaluate the security threat from the individual security elements and the combination of security elements, and then evaluation the network situation. It is shown that this system provides a valuable model and algorithms to help to find the security rules, adjust the security measure, improve the security performance and design the appropriate security risk evaluation and management tools.

关键词： Security evaluation Security Rules evaluation algorithm

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Efficient Identification and Accurate evaluation for Shutdown Operation Flow of Cryogenic Air Separation Units

Efficient Identification and Accurate Evaluation for Shutdow...

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第35届中国过程控制会议

作者： Duowen Chen Guanghui Yang Hongfeng Lou Xiongfeng Feng Zuhua Xu Zhijiang Shao Department of Polytechnic Zhejiang University State Key Lab of Industrial Control Technology Department of Control Science and Engineering Zhejiang University

During the operation of air separation units(ASU), planned short-term shutdowns are often required to ensure a balance between supply and demand of downstream air separation products, and maintain equipment performance and ensure production safety. Making the device shut down smoothly and safely is a key measure in air separation production. However, this process highly relies on manual participation and carries risks and uncertainties. In response to this practical demand, we propose an ASU Shutdown operation flow assistance system(SOFAS). We firstly build a standard logical model based on the actual shutdown process and develop algorithms to assist in executing standardized and safe shutdown operations. Then, we propose an operation flow identification algorithm to identify the shutdown operation flow, and an evaluation algorithm to quantitatively analyze the efficiency and safety of the operation flow using two performance indicators. Finally, the effectiveness of the method was verified through experimental analysis using the actual operational data of ASU.

关键词： Air Separation Unit Shut down Identification algorithm evaluation algorithm Operation flow

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Dynamic security region of natural gas systems in integrated electricity-gas systems

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ENERGY 2024年 289卷

作者： Gao, Han Zhao, Peiyao Li, Zhengshuo Shandong Univ Sch Elect Engn Jinan 250061 Peoples R China

In an integrated electricity-gas system (IEGS), gas-fired units with flexibility response capabilities address the uncertainty associated with renewable energy by swiftly adapting their output, which may result in uncertain fluctuations in the gas withdrawal of gas-fired units, potentially posing risks to the security of IEGS. Hence, it is necessary to efficiently evaluate the dynamic security region (DSR) of natural gas systems in IEGS by considering the real-time dynamic characteristics of natural gas systems, which are not satisfactorily handled in state-of-theart works. To bridge this gap, this paper first conceptionally verifies the necessity of the DSR and establishes its mathematical model. Then, a dimensionality reduction method is proposed for the efficient solution and visualization of the high-dimensional DSR evaluation model. A fast evaluation (FE) algorithm is developed to address the difficulties of the nonconvex dynamic constraints in the reduced DSR model. Finally, the necessity and notable advantages of the proposed DSR model and FE are verified based on small and relatively large test systems in comparison with common security region models and algorithms. To the best of our knowledge, this is the first paper that comprehensively presents models and efficient algorithms regarding the DSR of natural gas systems in IEGS.

关键词： Dynamic security region Integrated electricity-gas system Convex relaxation evaluation algorithm

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Research on Influence ofWeak Ties to Information Spreading in Online Social Networks

Research on Influence ofWeak Ties to Information Spreading i...

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13th International Symposium on Communications and Information Technologies (ISCIT) - Communication and Information Technology for New Life Style Beyond the Cloud

作者： Zhao, Zuo Zhang, Shengbing Northwestern Polytech Univ Xian Peoples R China

ISBN: (纸本)9781467355803;9781467355780

The introduction of the full paper discusses that the influence of weak ties to Information Spreading in online social network are different according to different online social network type. In the information exchanged social networks, removing the weak ties have little influence on the information spreading, while in the relationship social network, removing the weak ties have significant influence on the information *** efficient weak ties evaluation algorithm can more accurately find the weak ties in a social network to improve the control effect of information spreading. We study the weak ties evaluation algorithm, use the concept of clustering coefficient between two friends and the global evolution to optimize the initial algorithm, in order to solve some existed problem in the initial algorithm. Analysis and experiences proved that the new algorithm perform better than the initial algorithm and the weak ties are more effective on the information spreading in online social network, but the new algorithm still has little influence on the information spreading in the information exchanged social networks.

关键词： Weak ties Clustering coefficient Information spreading evaluation algorithm Social network

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Based on Short Motion Paths and Artificial Intelligence Method for Chinese Chess Game

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JOURNAL OF ROBOTICS NETWORKING AND ARTIFICIAL LIFE 2017年第2期4卷 154-157页

作者： Hung, Chien-Ming Guo, Jr-Hung Su, Kuo-Lan Army Acad ROC Dept Power Mech Engn Taoyuan 32092 Taiwan Natl Yunlin Univ Sci & Technol Dept Elect Engn 123 Sec 3Univ Rd Touliu 64002 Yunlin Taiwan

The article develops the decision rules to win each set of the Chinese chess game using evaluation algorithm and artificial intelligence method, and uses the mobile robot to be instead of the chess, and presents the movement scenarios using the shortest motion paths for mobile robots. Player can play the Chinese chess game according to the game rules with the supervised computer. The supervised computer decides the optimal motion path to win the set using artificial intelligence method, and controls mobile robots according to the programmed motion paths of the assigned chesses moving on the platform via wireless RF interface. We uses enhance A* searching algorithm to solve the shortest path problem of the assigned chess, and solve the collision problems of the motion paths for two mobile robots moving on the platform simultaneously. We implement a famous set to be called "wild horses run in farm" using the proposed method. First we use simulation method to display the motion paths of the assigned chesses for the player and the supervised computer. Then the supervised computer implements the simulation results on the chessboard platform using mobile robots. Mobile robots move on the chessboard platform according to the programmed motion paths and is guided to move on the centre line of the corridor, and avoid the obstacles (chesses), and detect the cross point of the platform using three reflective IR modules.

关键词： evaluation algorithm artificial intelligence method wireless RF interface enhance A* searching algorithm

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Network virus propagation and security situation awareness based on Hidden Markov Model

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JOURNAL OF KING SAUD UNIVERSITY-COMPUTER AND INFORMATION SCIENCES 2023年第10期35卷

作者： Tang, Wei Yang, Hui Pi, Jinxiu Wang, Chun Guizhou Univ Sch Math & Stat Guiyang 550025 Peoples R China Guizhou Univ Guizhou Prov Key Lab Games Decis Making & Control Guiyang 550025 Peoples R China Guizhou Open Univ Sch Informat Engn Guiyang 550023 Peoples R China

The security situation of the network is determined by the observation state and hidden state of a complex virus system. To analyze the relationship between the two states and evaluate the trends in the security situation of the system, we construct a new model for security situation awareness based on Hidden Markov Model (HMM). Firstly, the paper examines the impact of virus propagation on network security and proposes a new SIR (Susceptible-Infected-Recovered) virus propagation model on scale-free networks. Secondly, we construct a Hidden Markov Model for network security, and this model designs and utilizes the Forward algorithm and Viterbi algorithm to assess the security status of epidemic networks. Finally, we ascertain the effectiveness of the model and algorithms through model examples and simulation experiments. The results show that the proposed algorithm is highly efficient in analyzing the security of virus systems and has great application value in predicting the security trends of networks.

关键词： Network virus SIR model Security situation HMM evaluation algorithm

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Valuation of Convolutional Neural Network in Intelligent Computer Games

Valuation of Convolutional Neural Network in Intelligent Com...

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第35届中国控制与决策会议

作者： Gui Wu Peng Zeng Educational Administration office Jianghan University School of Artificial Intelligence Jianghan University

Many problems in incomplete information games also exist in our daily *** is of great significance to solve the problems in our daily life and improve the *** Holdem is a typical card game with incomplete *** Texas Holdem a valuation algorithm model based on convolutional neural network is *** train the model using the game history between the masters,to achieve the purpose of learning master *** game procedure of the valuation model plays the game with the game procedure designed by the predecessors,and the experimental results show that the convolutional neural network valuation method of learning human master experience can provide better decisions and enhance the Texas Holdem game procedure.

关键词： Convolution Neural Network evaluation algorithm Incomplete Information Games Texas Games

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Research on Modularization Fuzzy Petri Net of Disassembly System

Research on Modularization Fuzzy Petri Net of Disassembly Sy...

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2009 IEEE 16th International Conference on Industrial Engineering and Engineering Management(IEEE第16届工业工程与工程管理国际学术会议)

作者： Y.Tian T.Y.Wang B.H.Ding G.Y.He H.J.Zheng Tianjin Key Lab.for Advanced Manufacturing Tech.and Equipment Tianjin UniversityTianjinP.R.China

ISBN: (纸本)9781424436712

Aiming at the two key problems during the process of the disassembly analysis,which are the combination explosion in generating the disassembly model and the lack of the uncertainty factors in determining the optimal disassembly sequence,this paper proposes a level modular method and puts forward the Petri net model correspondently,which reduce the complication of the disassembly model effectively. Meanwhile,the influences of uncertainty factors on evaluation algorithm of disassembly indexes,under different work conditions,are discussed and formulated. These parameters are saved in a fuzzy unit with the carrier of workers information,which form a special "place". Thus,a common Petri net is extended as a fuzzy Petri net disassembly model. Combining the corresponding evaluation algorithm,an optimal disassembly sequence according with the actual working situation can be achieved. Finally,a case is proposed to illustrate the above method.

关键词： Disassembly sequence planning evaluation algorithm fuzzy Petri net modularization

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A Trust evaluation Model Behaviors Based in Electricity Market

A Trust Evaluation Model Behaviors Based in Electricity Mark...

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3rd International Conference on Electric Utility Deregulation and Restructuring and Power Technologies (DRPT 2008), vol.2

作者： Shaomn Zhang Xiuying Lu Baoyi Wang School of Computer Xidian University Xi'an China School of Computer China Electric Power University Baoding Hebei China

Aiming at that the risk of perfect competition electricity market is limited information, the self-serving nature and the uncertain future, this paper presents a trust model BBTM (Behaviors Based Trust Model) that can evaluate trust relationship between participators by measuring participators' behavior and computing trust levels of participators. In this model, the hierarchical structure of the main factors that affect the trust value of participators is established by Delphi method, and Layer Analysis Process is applied to determine the weights of various factors. The trading quantity of electricity is converted to standard transaction numbers and standard transaction satisfactory numbers, which can prevent participators from cheating in large-scale transaction by accumulating trust value in small-scale successful transactions. The model can enhance the mutual understanding among market participators and promote them to provide the credible service to improve their credibility, which could ensure that the electricity market operates stably and effectively.

关键词： Analytic hierarchy process Delphi method Distribution company Electricity market evaluation algorithm Generation Perfect competition Power customers Trust model Trust evaluation

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