Introducing a new mine ventilation design method by integrating discrete-event mining process simulation and ventilation simulation

Transactions ◽  
2018 ◽  
Vol 344 (1) ◽  
pp. 48-61
Author(s):  
K.C. Kocsis
2014 ◽  
Vol 614 ◽  
pp. 107-112
Author(s):  
Xiao Yu Yin ◽  
Xian Ping Xie ◽  
Zhen Li ◽  
Jian Gong Li ◽  
Ting Jun Wang ◽  
...  

Expert systems, or knowledge based systems, are programs in which the answer to a user-posed question is reached by logical or plausible inference rather than strictly by calculation, although calculation routines can form a major part of an expert system. Based on the integration of expert system technology and optimization technology, an intelligent computer aided design method for mine ventilation systems is proposed in this paper. Firstly, the structure and control algorithm of the intelligent design system are explored. Secondly, the knowledge types required for the mine ventilation expert system and the acquiring method of knowledge are discussed. Finally, the inference method of this expert system is put forward.


2010 ◽  
Vol 152-153 ◽  
pp. 346-352
Author(s):  
Jian Jun Wu ◽  
Wen Zhen Fu

On the fitting process simulation, the dangerous area related with buckling or tearing phenomena is identified with special colors and values, then deleting, cutting line designing, refitting and spreading processes are implemented to obtain a reasonable blank shape with dart feature. Moreover, a so called expanding surface method was presented in order to realize the fitting and spreading of free surface with hole feature. The above provided methods are realized through software codes and used in some cases effectively.


Author(s):  
Hyunwoong Ko ◽  
Sangwon Lee ◽  
Dongmin Shin ◽  
Seung Ki Moon

In this digital era, the natures of services are becoming increasingly complex and diverse due to the convergences between the existing human-centered services and other supportive device services, or interactions between heterogeneous services. Expecting this trend is to be accelerated more, new scientific and engineered approaches to the service design are needed more than ever. In this context, a service designed conceptually and abstractly has significant limitations that keep the customers’ satisfaction from advancing above a certain level. Hence, in an initial service design phase, a service delivery process can be expressed quantitatively through a systematic analysis of its natures and the goals. In this paper, a human-centered complex service system is newly defined as service ecosystem. This study proposes a method for designing service processes as a Discrete Event System (DES) in formal ways by utilizing the concepts of affordance, preference, and a Affordance-based Finite State Automata (FSA) modeling methodology. The proposed design method suggests a model framework that focuses on service actions that reflects related properties of customers, employees, and environment entities and their interactions quantitatively. The formally expressed relations between properties of service entities such as customer, employee, and service environment provide guidelines for service designers in a more scientific way than traditional ones. In addition, it is expected that it will enable to add computational to the human-centered service system design and control and develop effective reusable controllers for complex service deliveries as well.


10.28945/3171 ◽  
2007 ◽  
Author(s):  
Vesna Bosilj-Vuksic ◽  
Vlatko Ceric ◽  
Vlatka Hlupic

This paper focuses on a process of simulation software packages selection in the context of business process change projects. The paper presents discrete event simulation, its relation to business process modelling and examples of its practical applications in business process change projects. Features of business process simulation tools are examined, the most important simulation features are identified and the criteria for their evaluation are defined. The guidelines that could help managers in the selection of business process simulation tools are proposed. The discussion addresses the limitations of the proposed guidelines. Finally, based on the conducted research and the evaluation criteria defined within the guidelines, some directions for the further improvement of business process simulation tools are given.


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