• Title/Summary/Keyword: essential tasks

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Job Analysis of Hospital Coordinator Based on the DACUM Method (DACUM기법에 의한 병원코디네이터의 직무분석)

  • Yoo, Hyeong-Sik;Lee, Sun-Dong;Shim, So-Young
    • Journal of Society of Preventive Korean Medicine
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    • v.15 no.3
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    • pp.101-114
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    • 2011
  • The purpose of this study was to analyze of Hospital Coordinator based on the DACUM(Developing A Curriculum) method. The contents of this study were to extract the duties, tasks consisting of job of Hospital Coordinator and to investigate levels of importance, difficulty, frequency and entry level on each task, and to make out a job model of Hospital coordinator. A DACUM committee was composed to analyze job of Hospital Coordinator and the committee members were total 17, a facilitator, 15 hospital administrator and a recorder. The major findings of this study were as the followings ; first, duties in job of Hospital Coordinator were total 10, which were organization of Hospital Coordinator affairs, customerfacing services, consultation support, customer counsel, customer management, financial management, medical service planning, medical service marketing, organizational management, image making management, and self-development. And total tasks in job of Hospital coordinator were 76. Second, the tasks which were important, difficult, frequent and essential in entry step of occupation were counseling before consultation, explaining treatment plan after consultation, checking progress of consultation, answering teleconsultation, and finding out customer's consultation information. Third, a job model of Hospital Coordinator was constructed based on the results of DACUM job analysis.

A PROMETHEE Method Based Heuristic for Disassembly Line Balancing Problem

  • Avikal, Shwetank;Mishra, P.K.;Jain, Rajeev;Yadav, H.C.
    • Industrial Engineering and Management Systems
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    • v.12 no.3
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    • pp.254-263
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    • 2013
  • Disassembly of discarded products takes place in the process of remanufacturing, recycling, and disposal. The disassembly lines have been taken as available choice for automated disassembly; therefore, it has become essential that it be designed and balanced to work efficiently. The multi-objective disassembly line balancing problem seeks to find a disassembly sequence which provides a feasible disassembly sequence, minimizes the number of workstations and idle time, and balances the line for the disassembly of post consumed product by considering the environment effects. This paper proposes a multi-criteria decision making technique based heuristic for assigning the disassembly tasks to the workstations. In the proposed heuristic, the PROMETHEE method is used for prioritizing the tasks to be assigned. The tasks are assigned to the disassembly workstations according to their priority rank and precedence relations. The proposed heuristic is illustrated with an example, and the results show that substantial improvement in the performance is achieved compared with other heuristics.

The Development of Educational Training Program by the Job Analysis Ship-Fitters (조선소 설비공의 직무 분석을 통한 교육훈련 프로그램 개발)

  • Cho, Dong-Heon;Moon, Dae-Young;Park, Jong-Un
    • Journal of Fisheries and Marine Sciences Education
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    • v.19 no.2
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    • pp.219-228
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    • 2007
  • The purpose of this study is to analyze the job and develops the educational training program of ship-fitter by using the DACUM (Developing A Curriculum) method. On the first stage, the authors have been defined the job and classified duties and tasks of ship-fitters. To fine what is the most efficient task for ship-fitter, we have been investigated the levels of importance, difficulty, frequency and entry in each task. A DACUM committee is composed of total 10 members, which are one facilitator, eight panel members, one recorder & coordinator to analyze the job of ship-fitter. Following is the result of this study. First, 5 duties and 28 tasks are analyzed. Second, 19 tasks that are essential in entry level of occupation containing 'drawing inspecting' are identified. Third, a job model of ship-fitter is constructed by the results of DACUM job analysis. Fourth, training program is developed. This program contains task/curriculum Matrix, task/Course Matrix, training Course Profile, training Road Map.

A Study on the Development and Effect of Smart Manufacturing System in PCB Line

  • Sim, Hyun Sik
    • Journal of Information Processing Systems
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    • v.15 no.1
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    • pp.181-188
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    • 2019
  • A production system is a management system that supports all activities to perform production operations at the manufacturing site. From the point-of-view of a smart factory, smart manufacturing systems redesigned the concept of onsite production systems to fit the entire system and its necessary functional composition. In this study, we select the key functions needed to build a smart factory for a PCB line and propose a new six-step model for the deployment of a smart manufacturing system by integrating essential functions. The smart manufacturing system newly classified the production and operation tasks of PCB manufacturing and selected necessary functions through requirement analysis and benchmarking of advanced companies. The selected production operation tasks are mapped to the functions of the system and configured into seven modules, and the optimal deployment model is presented to allow flexible responses to the characteristics of the tasks. These methodologies are first presented in this study, and the proposed model was applied to the PCB line to confirm that they had significant changes in the work method, qualitative effects, and quantitative effects. Typically, lead time and WIP have reduced by about 50%.

Energy-Efficient DNN Processor on Embedded Systems for Spontaneous Human-Robot Interaction

  • Kim, Changhyeon;Yoo, Hoi-Jun
    • Journal of Semiconductor Engineering
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    • v.2 no.2
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    • pp.130-135
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    • 2021
  • Recently, deep neural networks (DNNs) are actively used for action control so that an autonomous system, such as the robot, can perform human-like behaviors and operations. Unlike recognition tasks, the real-time operation is essential in action control, and it is too slow to use remote learning on a server communicating through a network. New learning techniques, such as reinforcement learning (RL), are needed to determine and select the correct robot behavior locally. In this paper, we propose an energy-efficient DNN processor with a LUT-based processing engine and near-zero skipper. A CNN-based facial emotion recognition and an RNN-based emotional dialogue generation model is integrated for natural HRI system and tested with the proposed processor. It supports 1b to 16b variable weight bit precision with and 57.6% and 28.5% lower energy consumption than conventional MAC arithmetic units for 1b and 16b weight precision. Also, the near-zero skipper reduces 36% of MAC operation and consumes 28% lower energy consumption for facial emotion recognition tasks. Implemented in 65nm CMOS process, the proposed processor occupies 1784×1784 um2 areas and dissipates 0.28 mW and 34.4 mW at 1fps and 30fps facial emotion recognition tasks.

Development of Human Sensibility Based Web Agent for On-line Recommendation Service (온라인 추천 서비스를 위한 감성 기반 웹 에이전트 개발)

  • Im, Chi-Hwan;Jeong, Gyu-Ung
    • Journal of the Ergonomics Society of Korea
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    • v.23 no.3
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    • pp.1-12
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    • 2004
  • In recent years, with the advent of e-Commerce the need for personalized services and one-to-one marketing has been emphasized. To be successful in increasingly competitive Internet marketplace, it is essential to capture customer loyalty. In this paper, we provide an intelligent agent approach to incorporate human sensibility into an one-to-one recommendation service in cyber shopping mall. Our system exploits human sensibility ergonomics and on-line preference matching technologies to tailor to the customer the suggestion of goods and the description of store catalog. Customizing the system`s behavior requires the parallel execution of several tasks during the interaction (e. g., identifying the customer`s emotional preference and dynamically generating the pages of the store catalog). The recommendation agent system composed of five modules including specialized agents carries on these tasks. By presenting goods that are consistent with user interests as well as user sensibility, the accuracy and satisfaction of the recommendation service may be improved.

Holistic Scheduling Analysis of a CAN based Body Network System (CAN을 이용한 차체 네트웍 시스템에 대한 Holistic 스케줄링 해석)

  • 신민석;이우택;선우명호
    • Transactions of the Korean Society of Automotive Engineers
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    • v.10 no.5
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    • pp.114-120
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    • 2002
  • In a distributed real-time control system, it is essential to confirm the timing behavior of all tasks because these tasks of each real-time controller have to finish their processes within the specified time intervals called a deadline. In order to satisfy this objective, the timing analysis of a distributed real-time system such as shcedulability test must be performed during the system design phase. In this study, a simple application of CAN fur a vehicle body network system is formulated to apply to a holistic scheduling analysis, and the worst-case execution time (WCET) and the worst-case end-to-end response time (WCRT) are evaluated in the point of holistic system view.

A co-simulation study on a control system with the matlab toolbox for OSEK-OS (OSEK-OS를 위한 Matlab 도구상자와 제어시스템의 연계 모의실험에 관한 연구)

  • Kim, Seung-Hoon;SunWoo, Myoung-Ho
    • Proceedings of the KIEE Conference
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    • 2001.11c
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    • pp.149-151
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    • 2001
  • In real-time control system, it is essential to confirm the timing behavior of all tasks because these tasks of real-time controller have to finish their processes within the specified time intervals called a deadline. In order to satisfy this objective, the timing analysis of a real-time system such as a schedulability test must be performed during the system design phase. This paper presents a Matlab toolbox for simulation of real-time control system based on OSEK-OS, which is one of the most widely adopted real-time operating systems in automotive industry. The toolbox allows the user to explore the timely behavior of control algorithms, and to study the interaction between the object of the OSEK-OS, such as task, scheduler and resource etc.

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Vision-Based Part Shape and Misalignment Measurement in Cylindrical Peg-in-Hole Tasks (원형 단면 부품조립에서의 비전 기반 부품형상 및 상대오차 측정)

  • Cho Hyung-Suck;Kim Jin-Young
    • Journal of Institute of Control, Robotics and Systems
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    • v.11 no.7
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    • pp.615-620
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    • 2005
  • For successful deformable part assembly, information about its deformation as well as possible misalignment between the hole and its respective mating part are essential. Such information can be mainly acquired from visual sensors. In this paper, part deformation and misalignment in deformable cylindrical peg-in-hole tasks are measured by using a visual sensing system. First, a series of experiments to measure the position of an arbitrary point are performed. Next, an algorithm to measure misalignment and part shape as part deformation are presented, and a series of experiments on them are performed. Experimental results show that the proposed algorithms and the system are effective in measuring part deformation and misalignment.

Optimal Design for a Wall-Climbing Robot with Static and Vibration Characteristics (정적 및 진동 특성을 고려한 수직이동 로봇의 최적설계)

  • Ahn, Seok-Hee;Choi, Kook-Jin;Hong, Dae-Sun
    • Transactions of the Korean Society of Machine Tool Engineers
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    • v.17 no.6
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    • pp.35-42
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    • 2008
  • Most of tasks for vertical surface work in shipyard have been accomplished by human workers. However, such manual work often causes injury to workers, also the production cost becomes high due to increasing individual wage. To cope with the circumstance, shipbuilding companies try to introduce wall-climbing robots for carrying out such kind of tasks. In designing a wall-climbing robot, it is essential to minimize its own weight to improve the performance such as moving speed and power saving. For such purpose. this study proposes a method of optimal design for a wall-climbing robot using a genetic algorithm with multi-objective function. Specifically, the thickness of the robot base is minimized to reduce the weight while maintaining the allowable strength and avoiding the resonance frequencies. The proposed method is applied to the design of a wall-climbing robot, and the result shows that the method is useful at an early design stage.