An integrated artificial neural network-computer simulation for optimization of complex tandem queue systems

Azadeh, A.; Faiz, Zafar; Asadzadeh, Seyed Mohammad; Tavakkoli–Moghaddam, Reza

doi:10.1016/j.matcom.2011.06.009

Cited by 17 publications

(5 citation statements)

References 39 publications

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“…However, the network indicator light only shows a network is covered or not, it cannot indicate the network signal strength. For future work, the research team will append an embedded MCU [9] in this terminal, which will be used to show the quantization of signal strength as well as the evaluation for the quality of signal transmission [10,11], with this, the user could choose the best communication link, and build a good platform for information transmission of emergency medical rescue information system.…”

Section: Discussionmentioning

confidence: 99%

Development of Satellite/3G+ Multi-Link Communication Terminal Based on Medical Rescue Information System

Chen

Ren

Zheng

et al. 2014

AMM

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This paper introduces a satellite /3G+ multi-link communication terminal based on medical rescue information system, which provides 3G wireless network and satellite communication services and integrates cellular phone, maritime satellite terminal, BeiDou user device and Iridium phone [1]. The new terminal could improve the communication adaptability and transmission efficiency for the emergency medical rescue information system even in hostile environmental conditions [2] (such as earthquake, flood, and war). Tests showed that: this terminal has the advantages of simple access, rapid switch, efficient transmission, it can also guarantee timely and effective interaction of all kinds of information, so as to ensure the time-effect treatment for emergency medical rescue system [3].

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Section: Discussionmentioning

confidence: 99%

Development of Satellite/3G+ Multi-Link Communication Terminal Based on Medical Rescue Information System

Chen

Ren

Zheng

et al. 2014

AMM

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“…Customers arrival distribution and customer arrival event subroutine is a discrete event system computer simulation of the key issues, Solve these two problems, you need to determine the simulation strategy, which provides discrete event system simulation model representation methods and mechanisms for solving simulation run both discrete event system modeling conceptual framework, but also is the basic algorithm of discrete event system simulation. Commonly used simulation strategies including event schedule (Event scheduling), active scan (Activity scanning) and processes interact (Process interaction) [8]. For bank customers arrival systems, suitable for event scheduling simulation strategy, Event Scheduling an event occurred at a time as the main line, each event has a corresponding event routine, event routine gives the time of occurrence of the event are required to complete the relevant operation.…”

Section: Discussionmentioning

confidence: 99%

Customer Arrival Event Processing on Computer Simulation for Discrete Event System

Yao

Chen²,

Zuo

2014

AMM

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Discrete event systems are widely used in the production and life, it is difficult to use conventional differential equations, differential equations, and other models to describe, the theoretical analysis method is difficult to obtain analytical solutions, computer simulation techniques to solve these problems provides an effective means. Arrival event is a typical discrete system event; on arrival event handling is always one of the difficulties of computer simulation, in this paper, banking customer arrival system as an example to study. For banks queuing system, customers arrive to obey the parameter of Poisson distribution is, the probability mass function through the distribution curves and cumulative distribution function curves to study the distribution of customer arrival; construction of single-queue multi-server system of customer arrival event subroutine flow chart, and processing steps will be described. Content of this study, it is suitable for the developed area bank to adopt "number ticket machine" approach to service.

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“…Jian-gang SHI based on the fairness preference, this paper constructs a crossorganizational two-way incentive model, and analyzes the impact of project effort, fairness preference, payment cost and distribution system on project value increment [20]. Based on the above research results, domestic and foreign scholars do not consider the influence of interaction decision among the stakeholders in the coordination of interests of green building propulsion mechanism [21,22,23]. In the selection of incentive subjects, the driving factors of green building promotion mechanism are not clear.…”

Section: Related Workmentioning

confidence: 99%

Economic benefit analysis of green building based on fuzzy logic and bilateral game model

Chen

2019

IFS

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An integrated artificial neural network-computer simulation for optimization of complex tandem queue systems

Cited by 17 publications

References 39 publications

Development of Satellite/3G+ Multi-Link Communication Terminal Based on Medical Rescue Information System

Development of Satellite/3G+ Multi-Link Communication Terminal Based on Medical Rescue Information System

Customer Arrival Event Processing on Computer Simulation for Discrete Event System

Economic benefit analysis of green building based on fuzzy logic and bilateral game model

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