Optimization of the Enterprise Human Resource Management Information System Based on the Internet of Things

Li, Haiqiu

doi:10.1155/2021/5592850

Cited by 18 publications

(5 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…(3) e principle of efficiency first, that is, as much as possible to let the character engage in tasks with a large quality and ability index. Assuming that the sum of the effective cumulative rate of the human resource possession value of all roles and the product of their quality capability index is S [30], then…”

Section: Establish a Human Resource Allocation Modelmentioning

confidence: 99%

Optimal Allocation of Human Resource Structure Based on Capability Maturity Model Integration

Li¹

2022

Security and Communication Networks

View full text Add to dashboard Cite

In order to improve the economic benefits of enterprises and provide a scientific human resource management method for enterprises, an optimal allocation method of human resource structure based on the integration of capability maturity model is proposed. According to the capability maturity model and its maturity level, the capability maturity integration model is established, and the optimal allocation algorithm of human resources is designed according to the model principle. By constructing the personnel quality evaluation matrix and personnel allocation matrix, the human resource allocation model is established, and the cooperative game method is used to dynamically optimize the human resource allocation model. The experimental results show that this method effectively improves the economic benefits of enterprises, improves the efficiency of human resource allocation, and completes the preset goal.

show abstract

Section: Establish a Human Resource Allocation Modelmentioning

confidence: 99%

Optimal Allocation of Human Resource Structure Based on Capability Maturity Model Integration

Li¹

2022

Security and Communication Networks

View full text Add to dashboard Cite

show abstract

“…Li, H. (2021) [17], designed a platform for managing human resources, as his system consists of electronic units that work through managing resources through people. The system underwent a trial process and proved successful .…”

Section: Related Workmentioning

confidence: 99%

SAS-HRM: Secure Authentication System for Human Resource Management

Abdullah,

Alazawi,

Ehkan

2023

Al-Mustansiriyah Journal of Science

View full text Add to dashboard Cite

To guarantee data confidentiality and information sensitivity, human resource management requires secure systems. In the field of authorization and dependability in recognizing and identifying persons, facial recognition has grown in importance. In this research, a secure authentication system is proposed based on biometric aspects of the user's face and identifying it using the CNN classification model is provided to give access to human resource management and update data. The system is divided into four major stages: First, set up the system environment, beginning with smart cards, card readers, Arduino, and so on. Second, after undergoing pre-treatment steps, the facial characteristics are extracted using LDA. Third, create a high-accuracy CNN model to recognize and classify the user's face among the system's users. Finally, the user is allowed to enter the system and update his information. When compared to the accuracy of classification using machine learning techniques with a CNN proposed model, the accuracy of the model with LDA was up to 100%. K-NN has 91%, while TD has 94%.

show abstract

“…Literature [19] constructed a human resource management risk warning model based on the BP neural network, after a large number of risks should be trained for simulation test, proving the effectiveness of this model in human resource risk warning, can ensure the healthy operation of the enterprise. Literature [20] studied the optimization of enterprise human resource information systems based on the Internet of Things technology, the system is composed of three modules: personnel change management, organization management, and salary and benefits management. The system is mainly composed of modules that deal with personnel changes, organization, compensation and benefits, and personnel information management.…”

Section: Introductionmentioning

confidence: 99%

Research on the Application of MA Algorithm in the Optimization of Human Resource Allocation in Enterprises

Liang,

Liu

2024

Applied Mathematics and Nonlinear Sciences

View full text Add to dashboard Cite

MA algorithms have received extensive attention from scholars soon after they were proposed, and are rapidly developing in various fields such as the problem of project schedule and the optimal allocation of cloud resources. In this paper, firstly, to address the lack of performance of the ordinary MA algorithm, Kent chaotic mapping is used in the initialization position to improve the initial traversal ability, and Sigmoid function is introduced to optimize the step-size settings in different stages of the crawling process. Different test functions are chosen to compare the efficiency of the solution and verify the performance of the improved MA algorithm. Finally, the improved MA algorithm is applied to allocate human resources in a city called China Mobile and a multi-project environment. Searching for the optimal solution and solving for the optimal value is the strongest performance of the improved MA algorithm compared to the other three algorithms. The human resource balance metrics of a city China Mobile are optimized and the peak human resource demand reaches the project below 120, reducing the waste of resources by about 20 people. In a multi-project environment, where 4 employees perform four different tasks, the optimal solution was found, resulting in an improvement in profitability.

show abstract

Optimization of the Enterprise Human Resource Management Information System Based on the Internet of Things

Cited by 18 publications

References 26 publications

Optimal Allocation of Human Resource Structure Based on Capability Maturity Model Integration

Optimal Allocation of Human Resource Structure Based on Capability Maturity Model Integration

SAS-HRM: Secure Authentication System for Human Resource Management

Research on the Application of MA Algorithm in the Optimization of Human Resource Allocation in Enterprises

Contact Info

Product

Resources

About