A Novel Fuzzy Clustering with Metaheuristic based Resource Provisioning Technique in Cloud Environment

Al-Masri, Ahmed N.; Nasir, Manal

doi:10.54216/fpa.060102

Cited by 2 publications

(1 citation statement)

References 17 publications

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“…The basis of fuzzy control is fuzzy mathematics, and the realization of fuzzy control is computer. Fuzzy control is to imitate the way people think, does not depend on the mathematical model of the controlled object, and obtains the output control amount through the method of fuzzy reasoning [23].…”

Section: The Basic Idea Of Fuzzy Controlmentioning

confidence: 99%

Fuzzy Control in Compensation System of Deep Mine Mining Pipeline Heave Compensation

2022

IJETC

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The hydraulic lifting type deep-sea multi-metal manganese nodules mining technology is widely used in deep-sea mining as a cutting-edge technology. In the mining process, due to the influence of ocean wind, waves, current and tide, the mining ship is inevitably in the direction of gravity. A significant heave movement occurs on the top. In order to improve the stability, reliability and service life of the mining pipe and the working efficiency and economy of the entire mining system. A set of lift pipe compensation system should be installed between the upper part of the pipe and the mining ship. Based on the above background, the purpose of this paper is to study the application of fuzzy control in the deep sea mining pipe heave compensation system. In this paper, the idea of fuzzy control is proposed for the time-varying, nonlinear and mathematical models of hydraulic system. The system adopts three main control strategies, namely fuzzy control, fuzzy self-tuning PID control and fuzzy PID composite control. The results show that the classical PID control displacement is between -4.5 and 4.5 mm, while the fuzzy self-tuning PID control displacement is between -4.2 and 2.2 mm, which improves the accuracy of PID control. It can be seen in the fuzzy control with different discrete levels that the large discrete level fuzzy control is obviously higher than the precision of the small discrete level control. It can reach -1.7 to 0.5 mm, greatly improving its accuracy. They are both robust to classical PID control and show good results in control. Among them, fuzzy PID composite control is more superior and practical.

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Section: The Basic Idea Of Fuzzy Controlmentioning

confidence: 99%

Fuzzy Control in Compensation System of Deep Mine Mining Pipeline Heave Compensation

2022

IJETC

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Influence of Management Education on Enterprise Scientific and Technological Innovation Based on K-Means Clustering Algorithm

Liu

et al. 2022

Mathematical Problems in Engineering

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Scientific and technological innovation is the source of the survival and development of enterprises and the key to the realization of the goal of prosperity. In recent years, more and more companies have begun to focus on technological innovation, but the results are not significant, so companies have begun to explore the factors that affect their technological innovation. The management is the helm of the development of the enterprise, the main body of the company’s actual production activities, and the direct person in charge of the company’s management. Its influence on the innovation of the enterprise is self-evident, and the education level of the management directly determines the manager’s ability and vision. However, the current research on management mainly focuses on the position change of management and the rights of management and does not involve the level of education of management. Based on this, this article started from the management education and subdivided it with the K-means clustering algorithm, so as to explore the impact of management education on the technological innovation of enterprises. The experiment showed that there was a significant positive correlation between the educational level of management and the technological innovation ability of enterprises, and the correlation coefficient was 1.521. It fully shows that the management with a higher education background will promote the enterprise to carry out scientific and technological innovation practice and continuously improve the enterprise’s innovation ability.

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A Novel Fuzzy Clustering with Metaheuristic based Resource Provisioning Technique in Cloud Environment

Cited by 2 publications

References 17 publications

Fuzzy Control in Compensation System of Deep Mine Mining Pipeline Heave Compensation

Fuzzy Control in Compensation System of Deep Mine Mining Pipeline Heave Compensation

Influence of Management Education on Enterprise Scientific and Technological Innovation Based on K-Means Clustering Algorithm

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