• Title/Summary/Keyword: essential tasks

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The selection of RCM analysis system for efficient PM Tasks (효과적인 PM 업무를 위한 RCM분석대상 시스템의 선정)

  • Kim, Min-Ho;Song, Kee-Tae;Baek, Young-Gu;Lee, Key-Seo;Yoon, Hwa-Hyun
    • Proceedings of the KSR Conference
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    • 2007.11a
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    • pp.784-791
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    • 2007
  • Most operational organization and railway authority which conduct scheduled maintenance(SM) have carried out the preventive maintenance(PM) based on the information provided from supplier and manufacturer of railway system. However these activities are far away from reality and low the efficiency, it is because an appropriate methods for system selection didn't take into account for improving maintenance efficiency. Therefore, the current SM tasks and maintenance activities lead to lots of spend on the cost and time. To solve the above problem, this thesis presents new approach methodology. This proposes the criteria for reliability centered maintenance(RCM) system selection through level of quantification of each parameter, i.e, frequency, severity and maintenance cost, etc. To do this, the field operation data and information of maintenance cost are essential. As applying this methodology, we can look forward to improving efficiency of PM/SM, and reducing cost.

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Cooperative Behavior of Distributed Autonomous Robotic Systems Based on Schema Co-Evolutionary Algorithm

  • Sim, Kwee-Bo
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.2 no.3
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    • pp.185-190
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    • 2002
  • In distributed autonomous robotic systems (DARS), each robot must behave by itself according to its states ad environments, and if necessary, must cooperate with other robots in order to carry out their given tasks. Its most significant merit is that they determine their behavior independently, and cooperate with other robots in order to perform the given tasks. Especially, in DARS, it is essential for each robot to have evolution ability in order to increase the performance of system. In this paper, a schema co-evolutionary algorithm is proposed for the evolution of collective autonomous mobile robots. Each robot exchanges the information, chromosome used in this algorithm, through communication with other robots. Each robot diffuses its chromosome to two or more robots, receives other robot's chromosome and creates new species. Therefore if one robot receives another robot's chromosome, the robot creates new chromosome. We verify the effectiveness of the proposed algorithm by applying it to cooperative search problem.

Task Load Analysis of the Railway Traffic Signaller (철도 관제사 직무부하 분석)

  • Ko, Jong-Hyun;Jung, Won-Dea;Park, Jin-Kyun
    • Proceedings of the KSR Conference
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    • 2007.11a
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    • pp.1722-1730
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    • 2007
  • According to the result of recent studies, it was revealed that the error of safety-related personnel still plays a significant role in the accidents and/or incidents of a railway system. Accordingly, in order to reduce as well as prevent human errors, it is necessary to: (1) identify the root cause of accidents/incidents, and (2) conduct a research that can provide a systematic as well as an effective way to deal with the identified human errors. To this end, it is essential to suggest appropriate countermeasures based on the result of a task load analysis, which can soundly reduce a high level of the task load put on safety-related personnel. In the light of this concern, about the tasks of railway traffic signallers, a detailed task analysis was conducted in this study. After that, the associated task load scores were quantified by NASA-TLX technique that is one of the most well-known subjective workload measurement techniques. As a result, a set of significant tasks that could put a high task load on railway traffic signallers was identified.

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Emerging Machine Learning in Wearable Healthcare Sensors

  • Gandha Satria Adi;Inkyu Park
    • Journal of Sensor Science and Technology
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    • v.32 no.6
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    • pp.378-385
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    • 2023
  • Human biosignals provide essential information for diagnosing diseases such as dementia and Parkinson's disease. Owing to the shortcomings of current clinical assessments, noninvasive solutions are required. Machine learning (ML) on wearable sensor data is a promising method for the real-time monitoring and early detection of abnormalities. ML facilitates disease identification, severity measurement, and remote rehabilitation by providing continuous feedback. In the context of wearable sensor technology, ML involves training on observed data for tasks such as classification and regression with applications in clinical metrics. Although supervised ML presents challenges in clinical settings, unsupervised learning, which focuses on tasks such as cluster identification and anomaly detection, has emerged as a useful alternative. This review examines and discusses a variety of ML algorithms such as Support Vector Machines (SVM), Random Forests (RF), Decision Trees (DT), Neural Networks (NN), and Deep Learning for the analysis of complex clinical data.

A Comparison of PM10 Exposure Characteristics of Swine Farmers by Body Parts using Direct-reading Instrument (직독식 기기를 이용한 양돈작업자의 신체부위별 PM10 노출 특성 비교 연구)

  • Sin, Sojung;Kim, Hyocher;Kim, Kyung-ran;Seo, Mintae;Park, Sooin;Kim, Kyungmin;Kim, Kyungsu
    • Journal of Korean Society of Occupational and Environmental Hygiene
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    • v.29 no.2
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    • pp.159-166
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    • 2019
  • Objectives: The purpose of this study was to evaluate the personal exposure to $PM_{10}$ by body parts for the development of dust monitoring wearable device for swine farmers. Methods: Tasks were classified by using motion pictures taken by action cameras attached to swine farmers. Concentrations of $PM_{10}$ were measured by attaching direct-reading instruments at the head, neck and waist of worker. Differences of $PM_{10}$ exposure between body parts were analyzed with linear regression. Results: We identified three tasks(vaccination, moving pigs, and manure treatment). $PM_{10}$ concentration during vaccination was the highest among the tasks, and the body part showing the highest concentration of $PM_{10}$ was the waist regardless of task. In all tasks, the closer distance between the body parts, the higher were the R-squared values(vaccination 0.4221, moving pigs 0.6990, and manure treatment 0.2164). Conclusions: We presumed that $PM_{10}$ concentrations were affected by the parts of the body in which they were measured. In order to develop swine farmer's wearable device for monitoring dust concentration in air, the determination of the positions of monitoring sensor to ensure accurate measurement is essential. Considering the results of this study, wearable sensor should be positioned at the waist.

Job Analysis of Nurse Care Coordinators for Chronic Illness Management in Primary Care Settings: Using Developing a Curriculum Process (데이컴 기법을 적용한 일차의료 만성질환관리 간호사 케어코디네이터 직무분석)

  • Hwang, Ju-Hee;Choi, Yong-Jun;Kim, Mi-Sook;Yi, Seng-Eun;Park, Yong-Soon;Kim, Ji-Hyang;Yoon, Ju-Young;Shin, Dong-Soo
    • Journal of Korean Academy of Nursing
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    • v.51 no.6
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    • pp.758-768
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    • 2021
  • Purpose: This study aimed to conduct a job analysis of nurse carecoordinators and to identify the frequency, importance and difficulty of each task of their job. Methods: A committee for developing a curriculum (DACUM) was formed and members of the committee defined nurse care coordinators' jobs and enumerated the duties, tasks and task elements by applying the DACUM technique. Then nurse care coordinators enrolled in the pilot project evaluated the frequency, importance and difficulty of each task. Results: From the job descriptions of nurse care coordinators, we identified 12 duties and 42 tasks. Each task comprised 1~5 task elements. Among tasks, 'assess the patient's general health status' was carried out most frequently. Nurse care coordinators perceived that 'check vital signs' and 'strengthen patient competence to promote health behaviors' were more important than all other tasks. The most difficult task was 'develop professionalism as a nurse care coordinator'. Conclusion: The nurse care coordinators' roles developed in this study will serve as the key guidelines for human resource management of care coordinators. Further, job specifications for nurse care coordinators need to be developed, which is necessary for designing education and training programs. We also need to integrate primary health care as an essential component in nursing education.

A Study on Developing a Model for the History Compilation of Public Institutions (공공기관의 기관사(機關史) 편찬 모형 개발에 관한 연구)

  • Chan Mi Koo;Yeon-Kyoung Chung
    • Journal of Korean Society of Archives and Records Management
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    • v.23 no.3
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    • pp.21-37
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    • 2023
  • The history compilation of public institutions is a type of record compilation that can be very useful record content for users. The study aims to develop a model for the history compilation of public institutions that can be flexibly applied to the task while providing practical guidance for the actual work of institutional history compilation. To achieve this goal, literature reviews, task analyses, questionnaire surveys, in-depth interviews, and expert evaluations were conducted. Based on these results, the 5 processes were organized into 20 work areas and 45 detailed work elements, which were divided into 31 essential tasks and 14 optional tasks to design the final version of an institutional history compilation model for public institutions. The model of this study can be used in public institutions to carry out tasks regarding history compilation and can also be used to establish schedules and plans by identifying overall tasks to be performed in the preparation stage for history compilation.

Inverse Kinematics of Robot Fingers with Three Joints Using Neural Network (신경회로망을 이용한 3관절 로봇 손가락의 역기구학)

  • Kim, Byeong-Ho
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2007.11a
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    • pp.159-162
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    • 2007
  • The inverse kinematics problem in robotics is an essential work for grasping and manipulation tasks by robotic and humanoid hands. In this paper, an intelligent neural learning scheme for solving such inverse kinematics of humanoid fingers is presented. Specifically, a multi-layered neural network is utilized for effective inverse kinematics, where a dynamic neural learning algorithm is employed. Also, a bio-mimetic feature of general human fingers is incorporated to the learning scheme. The usefulness of the proposed approach is verified by simulations.

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Depth estimation by using a double conic projection (이중원뿔 투영을 이용한 거리의 추정)

  • 김완수;조형석;김성권
    • 제어로봇시스템학회:학술대회논문집
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    • 1997.10a
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    • pp.1411-1414
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    • 1997
  • It is essential to obtain a distane informaion in order to completely execute assembly tasks such as a grasping and an insertion. In this paper, we propose a method estimating a measurement distance from a sensor to an object through using the omni-directional image sensing system for assembly(OISSA) and show its features and feasibility by a computer simulation. The method, utilizing a forwarded motion stereo technique, is simple to search the corresponding points and possible to immediatiely obtain a three-dimensional 2.pi.-shape information.

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Computer Vision System using the mechanisms of human visual attention (인간의 시각적 주의 능력을 이용한 컴퓨터 시각 시스템)

  • 최경주;이일병
    • Proceedings of the IEEK Conference
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    • 2001.06d
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    • pp.239-242
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    • 2001
  • As systems for real time computer vision are confronted with prodigious amounts of visual information, it has become a priority to locate and analyze just that information essential to the task at hand, while ignoring the vast flow of irrelevant detail. A method of achieving this is to using human visual attention mechanism. In this paper, short review of human visual attention mechanisms and some computation models of visual attention were shown. This paper can be used as the basic data for researches on development of visual attention system that can perform various complex tasks more efficiently.

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