公开(公告)号：US12051082B2

公开(公告)日：2024-07-30

申请号：US18469381

申请日：2023-09-18

Applicant: KOREA ELECTRONICS TECHNOLOGY INSTITUTE

Inventor： Min Goo Lee ,  Yong Kuk Park ,  Tae Heon No

IPC: G06Q30/02 ,  G06N20/20 ,  G06Q30/0203

CPC classification number: G06Q30/0203 ,  G06N20/20

Abstract: A system evaluates residential satisfaction of residents living in a building, based on preferred sections of the residents predicted using personal tendencies of the residents and sensing data collected through sensors in the building. The system may include a server that evaluates the residential satisfaction of the residents by analyzing a correlation between the sensing data and residential satisfaction information obtained from the survey conducted through a communication manner including the user terminals, and controls an air conditioning system in the building of a control target by predicting a feature-based preferred section of the users through random forest model learning.

公开(公告)号：US12229704B2

公开(公告)日：2025-02-18

申请号：US18649056

申请日：2024-04-29

Applicant: KOREA ELECTRONICS TECHNOLOGY INSTITUTE

Inventor： Min Goo Lee ,  Yong Kuk Park ,  Tae Heon No

IPC: G06Q10/06 ,  G06Q10/0639

Abstract: Proposed is an apparatus, system, and method for conducting a company-customized work evaluation of employees based on work sincerity and work concentration to induce employees toward the ideal talent pursued by the company. The apparatus may receive an input of setting values for work sincerity and work concentration each including a plurality of evaluation items, setting values for weights for the respective evaluation items, and setting values for satisfaction/violation conditions from a manager terminal. Additionally, the apparatus may receive data on work sincerity and work concentration obtained by collecting and counting event information on satisfaction/violation for each evaluation item according to an employee's work from a plurality of employee terminals. Also, the apparatus may perform work evaluation on a plurality of employees via a work evaluation algorithm that uses the work sincerity and work concentration data and the weights as input values.