• 한국식품영양학회지
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• 제29권6호
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• pp.1058-1069
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• 2016

This study is intended to research workers' health, diet and the demand of nutrition education service in Seoul and Gyeonggi-do province. We implemented the survey from September 2012 through August 2013, and analyzed the data from 589 workers' questionnaires out of 890. For the analysis of the compiled data, we utilized the SPSS version 18.0 statistical package program. The study showed that majority of the workers participated in the survey consisted of 447 male (75.9%) and 142 female (24.1%). BMI showed that these men were overweight ($24.5{\pm}2.72$) and women were normal weight ($22.2{\pm}2.70$). Participants often diagnosed with hypertension or hyperlipidemia. In terms of health status, 34.5% answered satisfactory, the most concerned illness was high blood pressure, and the bad eating habits were often associated with general overeating and excessive intake of salt. 65.5% of participants had a meal three times per day. 49.4% of male participants had a meal less than 15 minutes and 66.2% of female participants had a meal between 15 and 30 minutes. The average of workers who needed to nutrition education is 3.74+0.85. The most desired way of learning was through counseling (36.7%), with overweight and weight management identified as the most interested topics. A relatively high portion (80%) passed the nutrition knowledge assessment test. According to the survey the highest rate of full-time employment is 85.2% which showed in small work places (the number of people on meal plan was 100~300), however the lowest rate of full-time employment showed 70.0% in large workplaces (the number of people on meal plan was within 1,000).

• 산업진흥연구
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• 제1권2호
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• pp.63-69
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• 2016

본 연구는 충남지역 중소 제조기업 남성 근로자의 교육훈련 참여가 교육효과 인식에 미치는 영향을 분석하였다. 연구결과 교육훈련 형태 중 Off-JT에 대한 만족도는 교육훈련 시스템 만족도와 직무와 관련한 자기계발 도움 정도에 긍정적인 영향을 미쳤다(p<.05). 이는 집체교육이나 이러닝교육이 현장훈련보다 교육시스템이 더 잘 갖춰져 있음을 의미하며, 따라서 향후 현장훈련에 대한 체계적인 시스템 마련이 필요하다고 제안할 수 있다. 또한 근로자가 집체교육이나 이러닝교육이 현장훈련보다 자기계발에 더 효과적이라고 인식하고 있으며, 현장훈련에 대한 만족도가 낮게 나타나 개선이 필요함을 의미한다. 본 연구는 충남지역 중소 제조기업 남성 근로자의 교육훈련 참여가 교육효과 인식에 미치는 영향을 분석함으로써 교육형태별 효과성을 파악하고 사내 교육훈련 만족도를 높이기 위한 시사점을 제시한 데 연구의 의의가 있다.

• 대한건축학회논문집:계획계
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• 제35권12호
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• pp.43-53
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• 2019

The construction industry has made great strides in the past decades by utilizing computer programs including CAD. However, compared to other manufacturing sectors, labor productivity is low due to the high proportion of workers' knowledge-based task in addition to simple repetitive task. Therefore, the knowledge-based task efficiency of workers should be improved by recognizing the visual information of computers. A computer needs a lot of training data, such as the ImageNet project, to recognize visual information. This study, aim at proposing building facade datasets that is efficiently constructed by quickly collecting building facade data through portal site road view and automatically labeling using deep learning as part of construction of image dataset for visual recognition construction by the computer. As a method proposed in this study, we constructed a dataset for a part of Dongseong-ro, Daegu Metropolitan City and analyzed the utility and reliability of the dataset. Through this, it was confirmed that the computer could extract the significant facade information of the portal site road view by recognizing the visual information of the building facade image. Additionally, In contribution to verifying the feasibility of building construction image datasets. this study suggests the possibility of securing quantitative and qualitative facade design knowledge by extracting the facade design knowledge from any facade all over the world.

• 융합신호처리학회논문지
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• 제23권3호
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• pp.150-159
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• 2022

본 논문은 실시간 영상 분석을 통해서 산업현장에서 활동하는 여러 근로자의 영상 객체를 추출해 내고, 추출된 이미지로 부터 개별 영상 분석을 통해 헬멧의 착용 여부와 낙상 사고 여부를 확인하는 방법을 구현한다. 근로자의 영상 객체를 탐지하기 위해서 딥러닝 기반 컴퓨터 비전 모델인 YOLO를 사용하였으며, 추출된 이미지를 이용하여 헬멧의 착용여부를 판단하기 위해 따로 5,000장의 다양한 헬멧 학습 데이터 이미지를 만들어서 사용하였다. 또한, 낙상사고 여부를 판단하기 위해서 Mediapipe의 Pose 실시간 신체추적 알고리즘을 사용하여 머리의 위치를 확인하고 움직이는 속도를 계산하여 쓰러짐 여부를 판단하였다. 결과에 신뢰성을 주기위한 방법으로 YOLO의 바운딩 박스의 크기를 구하여 객체의 자세를 유추하는 방법을 추가하고 구현하였다. 최종적으로 관리자에게 알림 서비스를 위하여 텔레그램 API Bot과 Firebase DB 서버를 구현하였다.

• 한국의료질향상학회지
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• 제17권1호
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• pp.89-105
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• 2011

Background : The purpose of study in to grasp the level of perception of hospital workers on the patient safety culture, consider the difference in perception of patients safety culture according to medical service and finally find out a way to establish patient safety culture in hospital. Methods : As for the data, the analysis on frequency, t-test, ANOVA and tukey test were carried out by using SPSS 12.0. Result : The results of comparison among the positive response ratios on the patients culture of hospital workers showed that the subjects had perceived the teamwork within units most positively(74.1%), and perceived most negatively on the non-punitive response to error(16.2%)and the staffing(26.2%). 68.6% of subjects answered that the medical error were mostly of always reported. when daytime working hours are longer, perception of patient safety culture ranked low. In general, departments for direct medical service than departments for indirect medical service assessed patient safety culture high. Conclusion : Organizational learning and teamwork within units, communication openness, active support of hospital management for patient safety, and cooperation across the units would be crucial to promote the overall perceptions of patients safety of hospital workers and the level of patients safety in the units and to improve the quality of the event reporting system.

• 대한인간공학회지
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• 제33권2호
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• pp.77-86
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• 2014

Objective: The purpose of this study is to grasp the fundamental structure of incident occurrence in nuclear organizations based on system thinking, and analyze how various causes are interrelated in terms of the causal loop diagram. Background: The recent domestic and overseas nuclear power plant-related incidents and accidents are directly or indirectly associated with safety culture, and thus effective plans for the improvement of safety culture are being called for. While the safety of a nuclear power plant is highly dependent upon technology and equipment, the utilization, maintenance and inspection of the technology and equipment are conducted by workers of the nuclear power plant. Method: Methodology of system thinking perspective using causal loop analysis. Results: As a result of the analysis, first, it turned out that the fundamental cause of incident occurrence in nuclear organizations is time constraint. Second, if a workload of workers increases, their adherence to regulations and procedures comes to be reduced due to time constraint. Third, it is needed, through organizational learning education, to increase actions made from thoughts considering safety as the utmost priority in advance. Fourth, it is necessary to improve professionalism by enhancing educational programs for new workers, and to develop various scenarios with which they can cope with certain situations. Application: This paper provides a base for system dynamics simulation model for future study.

• 반도체디스플레이기술학회지
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• 제21권2호
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• pp.117-122
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• 2022

This paper proposes a method for evaluating the work of manufacturing workers using MediaPipe as a risk factor for musculoskeletal diseases. Recently, musculoskeletal disorders (MSDs) caused by repeated working attitudes in industrial sites have emerged as one of the biggest problems in the industrial health field while increasing public interest. The Korea Occupational Safety and Health Agency presents tools such as NIOSH Lifting Equations (NIOSH), OWAS (Ovako Working-posture Analysis System), Rapid Upper Limb Assessment (RULA), and Rapid Entertainment Assessment (REBA) as ways to quantitatively calculate the risk of musculoskeletal diseases that can occur due to workers' repeated working attitudes. To compensate for these shortcomings, the system proposed in this study obtains the position of the joint by estimating the posture of the worker using the posture estimation learning model of MediaPipe. The position of the joint is calculated using inverse kinetics to obtain an angle and substitute it into the REBA equation to calculate the load level of the working posture. The calculated result was compared to the expert's image-based REBA evaluation result, and if there was a result with a large error, feedback was conducted with the expert again.

• 대한임베디드공학회논문지
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• 제18권1호
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• pp.19-24
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• 2023

In traditional fish farming way, the workers have to observe all of the pools every time and every day to feed at the right timing. This method causes tremendous stress on workers and wastes time. To solve this problem, we implemented an automatic detection system for feeding time using deep neural network. The detection system consists of two steps: classification of the presence or absence of feed and checking DO (Dissolved Oxygen) of the pool. For the classification, the pretrained ResNet18 model and transfer learning with custom dataset are used. DO is obtained from the DO sensor in the pool through HTTP in real time. For better accuracy, the next step, checking DO proceeds when the result of the classification is absence of feed several times in a row. DO is checked if it is higher than a DO reference value that is set by the workers. These actions are performed automatically in the UI programs developed with LabVIEW.

• Safety and Health at Work
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• 제15권2호
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• pp.200-207
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• 2024

Background: Workers are often exposed to hazardous heat due to their work environment, leading to various injuries. As a result of climate change, heat-related injuries (HRIs) are becoming more problematic. This study aims to identify critical contributing factors to the severity of occupational HRIs. Methods: This study analyzed historical injury reports from the Occupational Safety and Health Administration (OSHA). Contributing factors to the severity of HRIs were identified using text mining and model-free machine learning methods. The Multinomial Logit Model (MNL) was applied to explore the relationship between impact factors and the severity of HRIs. Results: The results indicated a higher risk of fatal HRIs among middle-aged, older, and male workers, particularly in the construction, service, manufacturing, and agriculture industries. In addition, a higher heat index, collapses, heart attacks, and fall accidents increased the severity of HRIs, while symptoms such as dehydration, dizziness, cramps, faintness, and vomiting reduced the likelihood of fatal HRIs. Conclusions: The severity of HRIs was significantly influenced by factors like workers' age, gender, industry type, heat index , symptoms, and secondary injuries. The findings underscore the need for tailored preventive strategies and training across different worker groups to mitigate HRIs risks.

• 한국콘텐츠학회논문지
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• 제15권8호
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• pp.564-578
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• 2015

본 연구는 지속경력학습 선행변인(개인-직무적합성, 인적자본투자)과 결과변인(주관적 경력성공)에 대한 인과관계 규명과 개인-직무적합성, 인적자본투자와 주관적 경력성공의 관계에서 지속경력학습 매개효과를 규명한다. 연구목적을 달성하기 위한 자료는 울산지역 자동차 및 제주지역 공기업 종사자 241명으로부터 수집되었으며, 동일방법편의 대안으로 측정환경 분리방법으로 자료를 수집하였다. 분석결과, 첫째, 개인-직무적합성과 인적자본투자가 지속경력학습에 긍정적인 영향을 미치고, 둘째, 지속경력학습인 주관적 경력성공을 촉진하는 주요원인으로 확인되었으며, 셋째, 지속경력학습은 개인-직무적합성 및 인적자본투자와 주관적 경력성공의 관계를 각각 부분매개 하는 것으로 규명되었다. 본 연구의 시사점으로는 직무 및 조직차원변인을 활용하여 지속경력학습의 선행변인을 실증적으로 규명하여 지속경력학습의 연구범위 확대에 기여하고 있으며, 주관적 경력성공 연구에 대한 연구자들의 관심을 촉발하는 계기를 제공하고 있다. 또한 지속 경력학습의 매개효과 규명을 통해 개인의 경력개선 과정 메커니즘을 실증적으로 규명하고 있다.