• Title/Summary/Keyword: 근로자 안전인식

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Image Processing System based on Deep Learning for Safety of Heat Treatment Equipment (열처리 장비의 Safety를 위한 딥러닝 기반 영상처리 시스템)

  • Lee, Jeong-Hoon;Lee, Ro-Woon;Hong, Seung-Taek;Kim, Young-Gon
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.20 no.6
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    • pp.77-83
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    • 2020
  • The heat treatment facility is in a situation where the scope of application of the remote IOT system is expanding due to the harsh environment caused by high heat and long working hours among the root industries. In this heat treatment process environment, the IOT middleware is required to play a pivotal role in interpreting, managing and controlling data information of IoT devices (sensors, etc.). Until now, the system controlled by the heat treatment remotely was operated with the command of the operator's batch system without overall monitoring of the site situation. However, for the safety and precise control of the heat treatment facility, it is necessary to control various sensors and recognize the surrounding work environment. As a solution to this, the heat treatment safety support system presented in this paper proposes a support system that can detect the access of the work manpower to the heat treatment furnace through thermal image detection and operate safely when ordering work from a remote location. In addition, an OPEN CV-based deterioration analysis system using DNN deep learning network was constructed for faster and more accurate recognition than general fixed hot spot monitoring-based thermal image analysis. Through this, we would like to propose a system that can be used universally in the heat treatment environment and support the safety management specialized in the heat treatment industry.

Modeling Core Competencies in the Competency-based Nursing Curriculum (역량기반 간호교육과정을 위한 핵심역량 모델링)

  • Kim, Jeong Ah;Ko, Ja-Kyung
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.16 no.11
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    • pp.7635-7647
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    • 2015
  • The purpose of this study is modeling nursing competencies and reasoning out the core competencies, the ability for 20% of important actions for nursing jobs which can manage the rest 80% so that the competency-based nursing curriculum can be developed. A literature review of the vast studies regarding competencies was done to understand the concepts of competency-based curriculum, competency, and nursing competencies, identifying the relationships among each nursing competency categorized in accordance with those concepts. An exemplified concept map of core competencies for the competency-based nursing curriculum is suggested based on a thorough review of various competency modeling methodologies. The core competencies consist of base competency (theoretical/practical nursing knowledge and skills), practical competency (clinical judgment, patient education, communication, etc.), and personality competency (leadership, sense of responsibility, cooperation, etc.). The circular relationship among them can remain consistent through self-directed learning and critical thinking. Therefore, a nurse who have those core competencies is a knowledge worker, a self-directed learner, and also an effective, professional communicator. Further studies which solidify the concept of nursing competencies should be done, as well as the feedback procedures which evaluate the program outcomes and then reflect the evaluation results in the curriculum should be followed continuously.