Research on distributed emergency resource scheduling system based on Internet of Things

Author(s):  
Lei Wang
2020 ◽  
Vol 1678 ◽  
pp. 012085
Author(s):  
Zhiyong Wang ◽  
Changsheng Ai ◽  
Zhe Wang ◽  
Gangchang Ren ◽  
Qiang Xu

2015 ◽  
Vol 740 ◽  
pp. 1003-1006
Author(s):  
Zhan Gao ◽  
Qing Bo Zhu

This paper mainly studies the emergency resource scheduling algorithms and optimization problems. Through study the effect of explain emergency supplies of resources system, understanding the characteristics of emergency resource, emergency scheduling characteristics and process, and the characteristics of the demand for resources. Emergency resource scheduling model for emergencies, and emergency management by learning the theory and method of study, effective analysis of disaster impact on resource supply system. Select the appropriate scheduling, to the disaster area resources required for effective and reasonable to rise and scheduling is advantageous to the resource scheduling work smoothly. Emergency resource scheduling model is established, provide certain theoretical support for the actual emergency scheduling decisions.


2020 ◽  
Vol 7 (3) ◽  
pp. 1572-1581 ◽  
Author(s):  
Libo Jiao ◽  
Yulei Wu ◽  
Jiaqing Dong ◽  
Zexun Jiang

2014 ◽  
Vol 631-632 ◽  
pp. 75-78
Author(s):  
Liang Du ◽  
Tao Liu

Digital resource integration is the inevitable trend of library development at present. The author introduces international and domestic representative digital resources integration systems and proposes the goal of digital resource integration. This paper describes the construction process of digital resource integration system based on Metadata storage, including the construction of DC metadata storage, united research system and resource scheduling system.


1996 ◽  
Vol 2 (1) ◽  
pp. 53-69 ◽  
Author(s):  
Michael L. McGinnis ◽  
Emmanuel Fernndez-Gaucherand ◽  
Pitu B. Mirchandani

Author(s):  
Shanshan Yang ◽  
Jinjin Chao

Nowadays, there are too many large-scale speech recognition resources, which makes it difficult to ensure the scheduling speed and accuracy. In order to improve the effect of large-scale speech recognition resource scheduling, a large-scale speech recognition resource scheduling system based on grid computing is designed in this paper. In the hardware part, microprocessor, Ethernet control chip, controller and acquisition card are designed. In the software part of the system, it mainly carries out the retrieval and exchange of information resources, so as to realize the information scheduling of the same type of large-scale speech recognition resources. The experimental results show that the information scheduling time of the designed system is short, up to 2.4min, and the scheduling accuracy is high, up to 90%, in order to provide some help to effectively improve the speed and accuracy of information scheduling.


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