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The C2 (Command and Control, C2) behavior model has great influence on analytical simulation system. However the current models have some weaknesses as hard modeling, poor expansibility and little flexibility. In this paper, the behavior model architecture has been designed according to the analysis of the capabilities of the C2 behavior model. The capabilities are developed as standard and independent...
Behavior models play an important role in analytical simulation system. However, weaknesses such as hard modeling, poor expansibility and little flexibility still exist in current models. In this paper, a behavior model is designed, which consists of Rule-based Expert system and Mission Components. The expert system has high efficient and flexible auto-decision capability. Mission Component provides...
The paper considers the issues of computer-aided engineering design of main aviation engine units by the example of thermo-gas-dynamic calculations and strength analysis simulation of compressors of the afterburning turbofan engine for modern high-maneuverable turbojet aircrafts. It is developed on the base of the Framework SAMCTO with the help of imitating simulation system of aviation engine DVIGw...
Case-based reasoning (CBR) can be used for counseling troubled students. The system was built using a CBR called the "case-based system." In this research, the system is expected to assist the academic advisor to solve the problems faced by every student. The selection of the CBR on the system to be designed is based on the results of observation and preliminary interviews, which are conducted...
Aiming at the problem that existing virtual assembly interfaces lack scenario analysis capabilities and can't effectively perceive user's intentions, the scene knowledge model and the user knowledge model are proposed in this paper. We establish scene knowledge base and user knowledge database according to the scene knowledge model and the user knowledge model respectively. To solve the ambiguity...
This paper presents the methodology and results of a recent research project SCETIST (2010–2013) devoted to foresight of selected artificial intelligence technologies. The AI trends and scenarios have been elicited using expert Delphi as well as via a simulation of a hybrid discrete-time and discrete-event control system. The system components include a complex information society model, which describes...
Monitoring, diagnosis and control systems represent a variant of modern informational technologies used for broadcasting, data acquisition and visualization of primary technical data as well as automated long distance control of dynamic processes from amongst very diverse fields, ranging from metallurgical engineering, chemistry and energy engineering to nuclear engineering. This paper deals with...
Despite guidelines that were established by the Basel II framework for operational risk in 2004, the global financial crisis started in 2008 and highlighted the lack of tools and mechanisms for operational risk management in financial institutions. This is why institutions globally have shown a strong interest in the development of models for operational risk management. However, these have come with...
In order to meet the fast maintenance requirements of modern missile, distributed fault diagnosis expert system is used in the decision-making of launch and maintenance of missile. Firstly, this paper builds missile distributed fault diagnosis expert system based on FMEA (fault model and effects analysis). According to the maintenance requirements, then diagnosis task can be divided into two stages,...
The rule based expert system model, structure and sand prevention method, sand control design, the evaluation of sand control in detail, and the expert system based on rule and sand control technology of combining rule based expert system, puts forward the comprehensive analysis and evaluation of sand control system, and successfully applied in some oil field.
In this paper, we investigate the scope of customer value and bring forward special definition of customer value. Also, we analyze customer value according to current value, potential value and customer loyalty. And we propose a model to classify customers into sixteen categories based on Self-Organization Map.
The macro-treatment model of mine geological environment, namely the prevention treatment model, the progressive treatment model and the aftereffect treatment model, was brought forward on the basis of mining level and severity of environmental geology problems. The control factors are emphasized and the scientific measures are advocated in the prevention treatment model. The progressive treatment...
Based on systematical analysis of the research situation and existing problems about comprehensive utilization of tailings and waste rocks in China and abroad, this paper put forward to establish an intelligent decision support system for the comprehensive utilization of tailings and waste rocks. The idea was implemented and the system was built by combining engineering practice of comprehensive utilization...
This paper presents a methodology and software for hazard rate analysis of induction type watt-hour meters, considering the main variables related with the degradation process of these meters, for the Elektro Electricity and Services SA. The modeling developed to calculate the watt-hour meters hazard rate was implemented in a tool through a user friendly platform, in Delphi language, enabling not...
A strong state tracking particle filter (SST-PF) is put forward for unknown fault diagnosis of hybrid system. SST-PF overcomes the problem of sample impoverishment for tracking the state of nonlinear hybrid system by setting permanent transition probabilities from one mode to another. Meanwhile threshold logic of normalization factor based on the statistics is built to detect unknown-faults, which...
Credit risk is one the most important and oldest risk forms in financial market. It has many problems in credit risk analysis and management system of our commercial bank compared with developed country. Therefore, based on the AI, the text illustrates credit risk evaluation method and gets result by combining risk quantitative analysis by ART2 (adaptive resonance theory) model, and qualitative analysis...
For the assessment of the third-party logistics enterprise's warehouse receipt pledging risk, affect factors of risk assessment are analyzed, and Alpha coefficient is used to evaluate the consistency and reliability of factors based on expert marking. Then business risk assessment indicators are identified. The structure equation model (SEM) is made to test the importance of warehouse receipt pledging...
In practice, the validation of complex simulation models can be time-consuming, and heavily dependent on the availability of measured data of real system. To settle these issues, a knowledge-based validation method for the complex simulation models is given, and the related knowledge in the validation of simulation models is researched. Domain knowledge is the most important part of validation related...
To assist government authorities identify evacuation strategy shortly after the outbreak of disasters, this paper proposes a GIS based urban emergency decision support model for large-scale crowd evacuation. The architecture and function of the model is devised to meet the need of scientific decisions in emergency management, and an expert system integrated with GIS is designed for evacuation planning...
This paper generalized the concept and the methods of Data Mining which based on drug suppression intelligence, analyzed the systemic construction and the work flow of Data Mining, pointed out the actuality of the Data Mining.
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