• Title/Summary/Keyword: Operation control

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Satisfaction Factor Analysis for Action Learning-based Class Operation - Focused on Students of the Department of Public Health Convergence Major - (액션러닝기반 수업운영에 대한 만족도 요인분석 - 보건학부 융합전공 학생을 중심으로 -)

  • Jeong, Dae-Keun;Yang, Sang-Hoon
    • Journal of Korea Entertainment Industry Association
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    • v.15 no.8
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    • pp.247-254
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    • 2021
  • The purpose of this study is to investigate the effects of action learning on the satisfaction of majors by cultivating task-solving ability through self-reflection in the form of team learning for a certain period of time in the form of team learning by using action learning for students taking convergence curriculum in universities. The subjects of the study were 40 students from the Department of Sports Rehabilitation, a convergence of the Department of Sports and Health Management and the Department of Physical Therapy located in Jeollanam-do. This was conducted to confirm the difference in the effect of satisfaction. Comparison of changes in groups of experimental groups with action learning teaching methods showed significant differences in self-directed learning skills, problem-solving skills, and major satisfaction(p<.001)(p<.05). A significant difference in self-directed learning ability, problem-solving ability, and major satisfaction was also shown in the comparison of changes in control groups that applied traditional teaching methods(p<.05). Comparison of changes between groups showed significant differences in self-directed learning skills, problem-solving skills and major satisfaction(p<.05). Applying the action learning teaching method to the level of students in the convergence course will improve self-directed learning skills, problem-solving skills, and major satisfaction, and further research will be needed to expand the target and add variables to combine qualitative research.

A Study on Development and Effectiveness of the Indicatives for Analysis of the Effects of a Book Sharing Project on pre-schoolers of Supporter' Reading Care in Gyeonggi-do (경기도 책꾸러미 사업을 통한 양육자의 독서육아 효과 분석을 위한 지표개발 및 효과성 연구)

  • Choi, In-Ja;Yoon, Sung-Une;Kim, Soo-Kyoung;Hoang, Gum-Sook;Lee, Sun-Ai
    • Journal of the Korean Society for Library and Information Science
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    • v.56 no.2
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    • pp.133-155
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    • 2022
  • The purpose of this study was to develop the indicatives for the analysis of the effects of Gyeonggi-do Book Sharing Project on pre-schoolers of supporter' reading care and thereby, suggest some data useful to the establishment of a reading culture promotion policy in Gyeonggi-do. Preceding studies and cases were reviewed to analyze the effects of the book-sharing project on pre-schoolers of supporter' reading care and thereby, develop some measurement indicatives, and thus, the indicatives were verified by professionals using the Delphi technique. Then, supporter of 3~5 year-old pre-schoolers were sampled from 7 cities and counties in Gyeonggi-do (Pocheon-si, Yangpyeong-gun, Yeoju-si, Dongducheon-si, Gapyeong-gun, Yeoncheon-gun and Yangju-si) to be divided into control and test groups and thereby, their reading care effect indicatives were compared before and after the test. The theoretical background is theory of family literacy, emergent literacy and parenting efficacy. As a result of developing the indicatives for analysis of pre-schoolers of supporter's reading care effects and comparing them for the sample pre-schoolers of supporter, before and after the test, the book-sharing project was found effective in improving reading care. The most difficult problem in pre-schoolers' earlier reading education involves acquisition of reading habit. So, it is deemed necessary to operate a regular book sharing project involving public organization and homes. As a result of developing the indicatives and analyzing the effects of the book-sharing project, it was confirmed that the project would serve to improve pre-schoolers of support's reading care and therefore, this study seems to provide some ground for the operation of a sustainable book-sharing project to narrow the education divide and promote a book reading culture in Gyeonggi-do.

A Study on Emotional Labor of Home Elderly Welfare Center Certified Nursing Assistants

  • Jung Seo, Lee
    • Journal of the Korea Society of Computer and Information
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    • v.28 no.1
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    • pp.103-110
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    • 2023
  • The purpose of this study is to improve the operation and working environment of welfare centers through this study on emotional labor of Certified Nursing Assistants at home welfare centers for the elderly. For the study, 138 Certified Nursing Assistants belonging to the Home elderly welfare center in K-si and J-do were studied. For statistical analysis, Cronbach's α, t-test, ANOVA, Pearson correlation analysis, and multiple regression analysis were performed using SPSS/WIN 17.0. First, as a result of the study, the difference in emotional labor among Certified Nursing Assistants at home-based senior welfare centers was higher in the degree of emotional labor in the order of dementia education, work experience, employment type, education level, and age. Second, the degree of burnout of the survey subjects was highest in the order of work experience, dementia education, employment type, and age. Finally, work stress and emotional labor were found to have a significant positive effect on work burnout. In conclusion, it is necessary to study Certified Nursing Assistants' cases of systematic emotional control experience to prevent work burnout, dementia education, work feedback on how to cope with services, and work conditions improvement measures to relieve work stress.

A Study for Failure Examples Including with Engine Oil Leakage, Poor Contact by Fin Damage and Vaporizer Inferiority on LPG Automotive (LPG 자동차의 엔진오일누설, 핀 손상에 의한 접촉불량, 베이퍼라이저 내부불량으로 인한 고장사례연구)

  • IL Kwon, Lee;Chang Ho, Kook;Sung Hoon, Ham;Seung Yong, Lee;Jae Gang, Lee;Seung Min, Han; Woo Chan, Hwang;Dae Cheon, Jang;Chang Bae, You;Jeong Ho, Lee
    • Journal of the Korean Institute of Gas
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    • v.26 no.6
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    • pp.24-29
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    • 2022
  • This paper is a purpose to Analyze and study the failure examples for a engine oil leakage of camshaft bearing seal, poor contact by computer connector fin damage and vaporizer inferiority on LPG automotive. The first example, when the researcher disassembled the cylinder head of engine to establish the cause for oil leakage, he confirmed the engine oil leakage by damaged between the engine intake camshaft bearing and seal part. The second example, the connector fin of power source line that control the starting of a car supplied with engine computer. As a result, it found the fact that the engine operation stopped because of cutting of the power source by connector fin damage. The third example, it verified the engine incongruity phe cutting of the power source by connector fin damage. The third example, it verified the engine incongruity phenomenon as thd gas didn't flow the vaporizer by foreign substance deposit. Finally, it supplied a small quantity gas from vaporizer to mix. As the computer controlling mix opening condition supplied a air as opening signal, the air and fuel became rarefied state. it knew that the engine didn't produce prpper power. Therefore, a car have to throughtly inspect not in order to arise the failure symptoms.

Development of an Automated Layout Robot for Building Structures (건축물 골조공사 먹매김 시공자동화 로봇 프로토타입 개발)

  • Park, Gyuseon;Kim, Taehoon;Lim, Hyunsu;Oh, Jhonghyun;Cho, Kyuman
    • Journal of the Korea Institute of Building Construction
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    • v.22 no.6
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    • pp.689-700
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    • 2022
  • Layout work for building structures requires high precision to construct structural elements in the correct location. However, the accuracy and precision of the layout position are affected by the worker's skill, and productivity can be reduced when there is information loss and error. To solve this problem, it is necessary to automate the overall layout operation and introduce information technology, and layout process automation using construction robots can be an effective means of doing this. This study develops a prototype of an automated layout robot for building structures and evaluates its basic performance. The developed robot is largely composed of driving, marking, sensing, and control units, and is designed to enable various driving methods, and movement and rotation of the marking unit in consideration of the environment on structural work. The driving and marking performance experiments showed satisfactory performance in terms of driving distance error and marking quality, while the need for improvement in terms of some driving methods and marking precision was confirmed. Based on the results of this study, we intend to continuously improve the robot's performance and establish an automation system for overall layout work process.

Multiple damage detection of maglev rail joints using time-frequency spectrogram and convolutional neural network

  • Wang, Su-Mei;Jiang, Gao-Feng;Ni, Yi-Qing;Lu, Yang;Lin, Guo-Bin;Pan, Hong-Liang;Xu, Jun-Qi;Hao, Shuo
    • Smart Structures and Systems
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    • v.29 no.4
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    • pp.625-640
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    • 2022
  • Maglev rail joints are vital components serving as connections between the adjacent F-type rail sections in maglev guideway. Damage to maglev rail joints such as bolt looseness may result in rough suspension gap fluctuation, failure of suspension control, and even sudden clash between the electromagnets and F-type rail. The condition monitoring of maglev rail joints is therefore highly desirable to maintain safe operation of maglev. In this connection, an online damage detection approach based on three-dimensional (3D) convolutional neural network (CNN) and time-frequency characterization is developed for simultaneous detection of multiple damage of maglev rail joints in this paper. The training and testing data used for condition evaluation of maglev rail joints consist of two months of acceleration recordings, which were acquired in-situ from different rail joints by an integrated online monitoring system during a maglev train running on a test line. Short-time Fourier transform (STFT) method is applied to transform the raw monitoring data into time-frequency spectrograms (TFS). Three CNN architectures, i.e., small-sized CNN (S-CNN), middle-sized CNN (M-CNN), and large-sized CNN (L-CNN), are configured for trial calculation and the M-CNN model with excellent prediction accuracy and high computational efficiency is finally optioned for multiple damage detection of maglev rail joints. Results show that the rail joints in three different conditions (bolt-looseness-caused rail step, misalignment-caused lateral dislocation, and normal condition) are successfully identified by the proposed approach, even when using data collected from rail joints from which no data were used in the CNN training. The capability of the proposed method is further examined by using the data collected after the loosed bolts have been replaced. In addition, by comparison with the results of CNN using frequency spectrum and traditional neural network using TFS, the proposed TFS-CNN framework is proven more accurate and robust for multiple damage detection of maglev rail joints.

Comparison of applicability of HVAC and air cleaners in a subway station platform against airborne infection of SARS-CoV-2 (지하역사 승강장에서 코로나19 바이러스 공기감염 대응 공기조화기와 공기청정기의 적용 효과 비교)

  • Lee, Gunhee;Kim, Sang Bok;Park, Inyong;Hong, Kee Jung;Lee, Yeawan;Kim, Hak-Joon;Kim, Yong-Jin;Han, Bangwoo
    • Particle and aerosol research
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    • v.18 no.3
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    • pp.51-59
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    • 2022
  • In this work, virion concentration and its dose changes by HVAC and air cleaners were estimated in a subway station platform to control airborne infection of SARS-CoV-2. Collection efficiencies with particle size were measured for the air filter equipped in a HVAC in one subway station in Daejeon. Indoor PM2.5 changes according to outdoor PM2.5 with time were also measured to estimate air infiltration rate in the subway station platform. When infected persons generate virions by 104, 105, 106, 3 × 106 and 5 × 106 h-1 in a 2,400 m3 volume platform, the concentration and dose were estimated as 9, 92, 275 and 458 virions/m3 and 4, 43, 130 and 217 virions after 1 hour exposure, respectively. The concentration and dose were reduced by 70%, and 64%, respectively by operations of both HVAC (with a flow rate of 16,000 m3/h, MERV 11) and ten air cleaners(with total CADR 10,740 m3/h) compared to those without operation of both HVAC and air cleaners. However, virion dose in the platform was estimated to be too low at the general conditions due to a large space, a high air infiltration (3 h-1) and a short residence time (usually < 10 mins) in the platform irrespective of the operations of HVAC or air cleaners. HVAC with filters and air cleaners would be more necessary in the concourse or shopping areas in the subway stations to reduce the infection dose from a few hundred to several tens virions in a hour.

Study on the Identification of Ship Maneuverability Required for Navigational Officers based on AHP Analysis (AHP 분석 기반 항해사 필요 선박조종성능 식별 연구)

  • Kang, Suk-Young;Ahn, Young-Joong;Yu, Yong-Ung;Lee, Yun-Sok
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.28 no.5
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    • pp.800-808
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    • 2022
  • The International Maritime Organization adopted the interim standards for ship maneuverability in November 1993 for preventing collision of ships at sea and for protecting the marine environment, and based on the accumulated data, in December 2002, the established standards for ship maneuverability were adopted. However, the standards adopted are those at full load, even keel, and at least 90 % of the ship speed at 85 % of the ship's maximum power. Moreover, these standards have limitations in providing information on maneuverability under actual navigational conditions. Therefore, in this study, frequency analysis AHP analysis techniques were studied by consulting navigational officers, captains, and experts, who have significant knowledge on ship maneuverability, utilization of the current standards, and the information necessary for the operation of the actual ship. The results of this study confirmed that the necessary information on maneuverability for the navigational officer operating the vessel is information about the turning circle at a small angle of 5°-10° and z-test information at maneuvering speed, not sea speed. Additionally, in relation to speed control, additional information on deceleration inertia and acceleration inertia is needed than the information on the stopping ability at sea speed and full loaded condition. The derived results are considered to be useful as basic data for preparing guidelines for ship maneuverability necessary for navigational of icers who operate ships.

Health Risk Assessment by Exposure to Heavy Metals in PM2.5 in Ulsan Industrial Complex Area (울산 산단지역 PM2.5 중 중금속 노출에 의한 건강위해성평가)

  • Ji-Yun Jung;Hye-Won Lee;Si-Hyun Park;Jeong-Il Lee;Dan-Ki Yoon;Cheol-Min Lee
    • Journal of Environmental Health Sciences
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    • v.49 no.2
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    • pp.108-117
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    • 2023
  • Background: When particles are absorbed into the human body, they penetrate deep into the lungs and interact with the tissues of the body. Heavy metals in PM2.5 can cause various diseases. The main source of PM2.5 emissions in South Korea's atmosphere has been surveyed to be places of business. Objectives: The concentration of heavy metals in PM2.5 near the Ulsan Industrial Complex was measured and a health risk assessment was performed for residents near the industrial complex for exposure to heavy metals in PM2.5. Methods: Concentrations of heavy metals in PM2.5 were measured at four measurement sites (Ulsan, Mipo, Onsan, Maegok) near the industrial complexes. Heavy metals were analyzed according to the Air Pollution Monitoring Network Installation and Operation Guidelines presented by the National Institute of Environmental Research. Among them, only five substances (Mn, Ni, As, Cd, Cr6+) were targeted. The risk assessment was conducted on inhalation exposure for five age groups, and the excess cancer risk and hazard quotient were calculated. Results: In the risk assessment of exposure to heavy metals in PM2.5, As, Cd, and Cr6+ exceeded the risk tolerance standard of 10-6 for carcinogenic hazards. The highest hazard levels were observed in Onsan and Mipo industrial complexes. In the case of non-carcinogenic hazards, Mn was identified as exceeding the hazard tolerance of 1, and it showed the highest hazard in the Ulsan Industrial Complex. Conclusions: This study presented a detailed health risk from exposure to heavy metals in PM2.5 by industrial complexes located in Ulsan among five age groups. It is expected to be utilized as the basis for preparing damage control and industrial emission reduction measures against PM2.5 exposure at the Ulsan Industrial Complex.

Statistical Techniques to Detect Sensor Drifts (센서드리프트 판별을 위한 통계적 탐지기술 고찰)

  • Seo, In-Yong;Shin, Ho-Cheol;Park, Moon-Ghu;Kim, Seong-Jun
    • Journal of the Korea Society for Simulation
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    • v.18 no.3
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    • pp.103-112
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    • 2009
  • In a nuclear power plant (NPP), periodic sensor calibrations are required to assure sensors are operating correctly. However, only a few faulty sensors are found to be calibrated. For the safe operation of an NPP and the reduction of unnecessary calibration, on-line calibration monitoring is needed. In this paper, principal component-based Auto-Associative support vector regression (PCSVR) was proposed for the sensor signal validation of the NPP. It utilizes the attractive merits of principal component analysis (PCA) for extracting predominant feature vectors and AASVR because it easily represents complicated processes that are difficult to model with analytical and mechanistic models. With the use of real plant startup data from the Kori Nuclear Power Plant Unit 3, SVR hyperparameters were optimized by the response surface methodology (RSM). Moreover the statistical techniques are integrated with PCSVR for the failure detection. The residuals between the estimated signals and the measured signals are tested by the Shewhart Control Chart, Exponentially Weighted Moving Average (EWMA), Cumulative Sum (CUSUM) and generalized likelihood ratio test (GLRT) to detect whether the sensors are failed or not. This study shows the GLRT can be a candidate for the detection of sensor drift.