scholarly journals A Study on EPCIS System Modeling by Data Modeling Method

2012 ◽  
Vol 14 (2) ◽  
pp. 177-183
Author(s):  
Zhong-Shi Li
2014 ◽  
Vol 952 ◽  
pp. 307-310
Author(s):  
Yan Ming Wei ◽  
Hua Ping Li ◽  
Hai Long Gao

In order to improve the modeling ability for nonlinear system, an Elman modeling method based on Particle Swarm Optimization (PSO) algorithm is proposed. It uses PSO algorithm to optimize the parameters of Elman network. The simulation result shows that the proposed hybrid method combined Elman with PSO algorithm has a good modeling performance with fast training rate for complex nonlinear system.


Author(s):  
Liu Yue ◽  
Zhao Chun ◽  
Zhang Lin

In the process of complex product design, modeling in different fields and different disciplines is often involved. Designers often face many different development kits, platforms, and theories, among which significant differences exist. Especially in the process of algorithm-hardware implementation, it is necessary to have mastery of the knowledge including algorithm, hardware, circuit, and system engineering. In this paper, a modeling method of algorithm-hardware based on SysML is proposed to reduce the difficulty of algorithm-hardware modeling. By using the method, the designers who do not know the knowledge of hardware can also easily build the algorithm-hardware model. In this method, a method of graphical system modeling based on SysML is used, where the elements of the algorithm-hardware model are described by SysML graphical models. Then, the SysML graphical models are converted to Very-High-Speed Integrated Circuit Hardware Description Language. At last, a detecting algorithm of random number is complemented by the modeling method in this paper and the simulation results are presented at the conclusion.


Author(s):  
Xiaodong Huang ◽  
Li Zhang ◽  
Jing Zhou ◽  
Yaofei Ma

It is hard to model a complex system by simply combining its partial characteristics. This paper presents a multi-view collaborative modeling method for complex system. Multi users, multi subjects, multi granularities and multi models in complex system modeling are unified to multi views. The principles and schemes for the decomposition of complex systems are introduced. According to the principle of separation of concerns, a complex system can be decomposed to a variety of model views. Collaborative modeling means that the views can be associated and integrated to form complete system model through their semantic. According to the form of representation, the models are generalizes to three kinds, i.e., view models, semantic models and storage models, which provides a unified framework for conversion and mapping between the models. Under the guidance of the method, a tool for the modeling of warship C2 system is developed. Applications show that the tool can support collaborative modeling and design for C2 system outstandingly.


2015 ◽  
Vol 84 (1-4) ◽  
pp. 197-212 ◽  
Author(s):  
Hao Li ◽  
Yangjian Ji ◽  
Guofu Luo ◽  
Shanghua Mi

2014 ◽  
Vol 571-572 ◽  
pp. 490-496
Author(s):  
Wen Bo Jing ◽  
Yong Ming Gao ◽  
Xue Bo Zhang

For large-scale equipment systems whose elements and internal structure are complex, traditional systems engineering methods can’t meet the requirements of the system modeling. In this paper, a kind of modeling method based on UPDM is developed to solve the complexity of equipment systems. This paper proceeds as follow. Firstly, analyze the mission of equipment systems; secondly, using a variety of views product describes the equipment systems; then, validate the systems structure by generating an executable model. Finally, an experiment about equipment systems modeling of space weaponry indicates the modeling method based on UPDM is effective.


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