Intelligent Scheduling Method of Molten Iron Transportation of Steel Enterprise

2007 ◽  
Author(s):  
De-Hong Cong ◽  
Jia Wang ◽  
Xing-gang Liu ◽  
Xiao-chuan Luo ◽  
Shan-qing Li
Keyword(s):  
Molten Iron ◽  
Scheduling Method ◽  
Intelligent Scheduling

scholarly journals Intelligent Scheduling Method Supporting Stadium Sharing

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Lei Fang
Keyword(s):  
Task Scheduling ◽  
User Satisfaction ◽  
Mobile Terminal ◽  
Load Level ◽  
Edge Computing ◽  
Average System ◽  
Calculation Results ◽  
Lower Load ◽  
Scheduling Method ◽  
Intelligent Scheduling

At present, the fast-paced work and life make people under great pressure, and people’s enthusiasm for fitness is getting higher and higher, which is in contradiction with the shortage of existing stadiums. So it is considerably significant to open shared stadiums near where citizens live for booking. Therefore, how to allow citizens to book a suitable stadium according to their own needs through mobile phones or computers is an urgent problem to be solved. The booking of the shared stadium can be regarded as a mobile edge computing (MEC) scenario, and the problem can be transformed into task scheduling research under MEC through intelligent scheduling method. When using edge computing (EC) technology for service calculation, the mobile terminal needs to offload the service to the edge computing server. After the server completes the calculation, the calculation results will be sent back to the mobile terminal. Therefore, the calculation time and system energy consumption in the calculation process can be further reduced through task scheduling to improve user satisfaction. In this study, joint scheduling of service caching and task algorithm is proposed to reduce the latency of booking shared stadium request and improve user experience. The simulation results show that the proposed algorithm with edge cooperation idea can achieve lower average system latency at lower load level and can significantly reduce the cloud offloading ratio under low and middle pressure. In addition, the proposed algorithm uses the secondary transfer of more tasks to reduce the pressure of local task running. Finally, the quality of experience (QoE) satisfaction rate under low pressure is guaranteed.

scholarly journals Analysis of an Optimal Model for Liquidity Management of Financial Assets Using an Intelligent Scheduling Approach

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Yi Zhou ◽  
Weili Xia ◽  
Shengping Peng
Keyword(s):  
Risk Management ◽  
Liquidity Risk ◽  
Research Priorities ◽  
Management Research ◽  
Liquidity Management ◽  
Management Capability ◽  
Operation Process ◽  
Depth Study ◽  
Scheduling Method ◽  
Intelligent Scheduling

This paper adopts the intelligent scheduling method to conduct an in-depth study and analysis on the optimization of financial asset liquidity management model, elaborates and analyzes the liquidity risk management theory of commercial banks, and reviews the progress of liquidity risk management research in domestic and foreign academia as the theoretical basis of this paper. After that, we analyze the liquidity risk management of Anhui Tianchang Rural Commercial Bank from both qualitative and quantitative levels and further review and analyze the problems and causes. Finally, the full research is summarized and reviewed, theoretical and practical insights are discussed and analyzed, and future liquidity risk management research priorities and directions are elaborated. Based on the analysis results, the problems of the bank in liquidity risk management are described one by one, and further deep-seated cause discovery is carried out to summarize the problems of liquidity risk management which exist in the bank’s operation process due to the lack of liquidity risk management, unbalanced asset, and liability allocation, as well as weak emergency management capability, insufficient day-to-day liquidity monitoring, and lack of professional talents. For the problems and causes of the study, effective suggestions on how to strengthen the bank’s liquidity risk management in multiple aspects are proposed. It is hoped that, by improving the bank’s liquidity risk management and reducing the chance of liquidity risk occurrence, the bank’s sustainable development can be enhanced, and it is also hoped that it can provide some reference for the liquidity risk management of similar rural small- and medium-sized financial institutions.

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