Microprocess. Microsystems | 2021

Research on the HRM performance assessment model based on FPGA embedded system and bayesian network

 

Abstract


Abstract Human Resource Management (HRM) is a structured and fully organized people-managed process. IT includes the person setting up the organization (employer), cash holding and benefits management, performance management, and alternative management and maintenance. One of the strategies for a successful company is to attract talented individuals to any particular position and retain key employees in a better and more energetic workforce. In any field, small or large, human resource management plays its traditional role, but its staff can expand its scope to evaluate performance. Due to the evolution of the new service comes the field of human resource management. The development of a new organization called a performance management system (PMS). Performance appraisal is the social irresponsible management center of companies and organizations, and each appraisal index of the proper allocation of human resources should be given appropriate weights that are important to organize and align the organizational structure and the performance management system at the limits of the individual goals of the sports organization s business goals. This article addresses the validity of PMS. Research programs that serve as a strategic tool for a performance management system achieve a strong foundation for employees to achieve their ambitions and goals for the company to achieve their core financial goals. Propose to implement a Bayesian Network (BN) Representation based Field Programmable Gate Arrays (FPGA) that allow for continuous monitoring of embedded systems under a time and resource basis. Advanced package tools integrated with hardware implementation provide a specific offline configuration. The proposed hybrid redesign device is evaluated to indicate potential acceleration. Some modifications to the hardware s functionality have been explored to better balance accuracy, performance, and resource allocation.

Volume 83
Pages 103994
DOI 10.1016/J.MICPRO.2021.103994
Language English
Journal Microprocess. Microsystems

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