PpBAC

Namasudra, Suyel; Roy, Pinki

doi:10.4018/joeuc.2018100102

Cited by 90 publications

(29 citation statements)

References 23 publications

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“…Cloud Computing and Task Scheduling. Cloud computing is an emerging technology model that pays on demand [6]. It can provide people with the resources they need in the shortest time, which is very convenient and fast [7].…”

Section: Technology Based On Medical Equipmentmentioning

confidence: 99%

Medical Equipment Comprehensive Management System Based on Cloud Computing and Internet of Things

Shang

Zhao

et al. 2021

Journal of Healthcare Engineering

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The continuous progress in modern medicine is not only the level of medical technology, but also various high-tech medical auxiliary equipment. With the rapid development of hospital information construction, medical equipment plays a very important role in the diagnosis, treatment, and prognosis observation of the disease. However, the continuous growth of the types and quantity of medical equipment has caused considerable difficulties in the management of hospital equipment. In order to improve the efficiency of medical equipment management in hospital, based on cloud computing and the Internet of Things, this paper develops a comprehensive management system of medical equipment and uses the improved particle swarm optimization algorithm and chicken swarm algorithm to help the system reasonably achieve dynamic task scheduling. The purpose of this paper is to develop a comprehensive intelligent management system to master the procurement, maintenance, and use of all medical equipment in the hospital, so as to maximize the scientific management of medical equipment in the hospital. Scientific Management. It is very necessary to develop a preventive maintenance plan for medical equipment. From the experimental data, it can be seen that when the system simultaneously accesses 100 simulated users online, the corresponding time for submitting the equipment maintenance application form is 1228 ms, and the accuracy rate is 99.8%. When there are 1000 simulated online users, the corresponding time for submitting the equipment maintenance application form is 5123 ms, and the correct rate is 99.4%. On the whole, the medical equipment management information system has excellent performance in stress testing. It not only predicts the initial performance requirements, but also provides a large amount of data support for equipment management and maintenance.

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Section: Technology Based On Medical Equipmentmentioning

confidence: 99%

Medical Equipment Comprehensive Management System Based on Cloud Computing and Internet of Things

Shang

Zhao

et al. 2021

Journal of Healthcare Engineering

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“…e second layer is the cloud system service layer, which provides interfaces and software operating environment for system development and provides system service functions such as user management, manages access codes, management permissions, management records, and traffic statistics. It is a business cooperation cloud computing and information exchange system service platform [31]. e third layer is the cloud computing application service layer, that is, the cloud computing application virtualization service platform layer, which provides SaaS online software services, including order information, production and inventory information, and various functional units, such as sales services, distribution services, return services, and settlement.…”

Section: Cloud Computing-based Supply Chain Informationmentioning

confidence: 99%

Supply Chain Inventory Collaborative Management and Information Sharing Mechanism Based on Cloud Computing and 5G Internet of Things

Zhang

Gong

2021

Mathematical Problems in Engineering

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With the development of economic globalization, the competition among enterprises is increasingly fierce. Therefore, companies need close information sharing to realize the integration of supply chain. This article aims to study the collaborative management and information sharing mechanism of supply chain inventory based on cloud computing and 5G Internet of Things. This article first introduces the theory and methods of collaborative supply chain management and the information exchange mechanism and then discusses the problem of information sharing in the supply chain, that is, the bullwhip phenomenon, and then from the demand forecast, supply chain structure, time lag, and shortage game, six aspects are analyzed. The cause of the bullwhip phenomenon is analyzed. Secondly, this article proposes a quantitative analysis of the bullwhip effect, establishes a mathematical model of the bullwhip effect in the supply chain, and uses quantitative analysis to analyze the value of information sharing in the supply chain. Finally, this article uses cloud computing technology to build a supply chain information collaboration system architecture and uses EPC Internet of Things to build a supply chain information sharing model and describes the entire operation process of the supply chain. The experimental results of this paper show that the application of cloud computing technology to supply chain management establishes a system platform for supply chain information sharing, improves the overall operational efficiency of supply chain management, and realizes supply chain information sharing and business collaboration. In addition, the operating costs and risks of each node enterprise in the supply chain are reduced by 12% compared with the nonsharing situation, which also shows that the overall benefits of the supply chain have been correspondingly improved and market competitiveness has been enhanced.

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“…Data preprocessing is a time-consuming task that can be divided into two parts: data acquisition and data cleaning [20][21][22]. While the acquisition part is intended to guarantee availability of data, the cleaning part is designed to ensure high data quality [23,24]. Data acquisition mainly involves collecting useful information from original transaction data.…”

Section: Data Processingmentioning

confidence: 99%

Using the Mathematical Model on Precision Marketing with Online Transaction Data Computing

Shi

et al. 2021

Mathematical Problems in Engineering

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In this paper, a decision-making system for precision marketing is presented to deal with real-world problems based on real e-business data collected in a company in Beijing. During the data preprocessing, the authors conducted a cleaning course to make sure the data to be analyzed in the latter part of the paper were credential. Based on the processed data, the authors analyzed consumer purchasing behaviors using three classic recommendation algorithms and made a performance comparison of the three algorithms. At the end of this paper, the authors proposed a series of precision marketing strategies which had been adopted by the data source company and had been proved to be effective in improving the performance.

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PpBAC

Cited by 90 publications

References 23 publications

Medical Equipment Comprehensive Management System Based on Cloud Computing and Internet of Things

Medical Equipment Comprehensive Management System Based on Cloud Computing and Internet of Things

Supply Chain Inventory Collaborative Management and Information Sharing Mechanism Based on Cloud Computing and 5G Internet of Things

Using the Mathematical Model on Precision Marketing with Online Transaction Data Computing

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