• 한국직업건강간호학회지
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• 제21권3호
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• pp.258-265
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• 2012

Purpose: The purpose of this study is to identify the influence of job stress and empowerment on nursing performance of clinical nurses working in small and medium hospital. Methods: The empirical data were collected from a self-administered survey using a structured questionnaire with 404 nurses working in 4 medium-sized hospitals (less than 300 beds), located in I-city. The data were analyzed using stepwise multiple regression with the SPSS/WIN 17.0 program. Results: There were significant differences in nursing performance depending on general characteristics (age, marital status, religion, shift work, education level, position, clinical experience, department, and monthly salary). Empowerment correlated with nursing performance. Factors influencing on nursing performance were empowerment, clinical experience, job stress, and marital status with $R^2$ value of 36.3%. The most influencing factor was empowerment (${\beta}$=.47), followed by clinical experience (${\beta}$=.24), job stress (${\beta}$=.20), and marriage (${\beta}$=.12). Conclusion: It is needed to implement specific empowerment strategy, control job stress, and reward experienced and married nurses working in medium-sized hospital for improving nursing task performance.

• 대한기계학회논문집A
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• 제24권5호
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• pp.1254-1260
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• 2000

There have been many developments in super precision working technique and working method up to, now. But, it is very difficult to evaluate working surface accurately without the technicians experience and judgment. Surface roughness tester using stylus was used to measure surface condition generally But this method is not so desirable because of damage on test piece caused by contact between the workpiece and the stylus sensor. As a result, non-contact method was known as a good way to carry, out this process without damage. However, this is a difficult one among the various measuring methods. So we are tying to suggest a new method using texture analysis through image processing to get a surface information in worked test piece. Co-occurrence matrix using difference of gray levels between a pixel and its neighboring one was used to study behavior of surface roughness and to J acquire data for analysis. Standard specimen was adapted to verify this research. We suggest texture information method in order to evaluate surface state for the best measurement system.

• 한국보건간호학회지
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• 제17권1호
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• pp.17-25
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• 2003

This study aimed to investigate predictors of turnover intention of home visiting nurses at 16 public health centers in Busan. There are two groups of independent factors: non-work related(i. e., age, educational level, working duration as nurses in hospitals, and certificate), and work related factors(i. e., working duration as nurses in public health centers, working duration as home visiting nurse, position, number of households visited per week, workload, cooperation among staff, support by supervisors, supply of vehicles, and supply of materials). Data were collected with self-administrated questionnaires which consisted of 4 items of non-work related factors, 9 items of work related factors, and 1 item of turnover intention to other department. Data were analyzed using an univariate logistic regression and multiple logistic regression. According to the results, heavy workload (Yes vs No, OR=4.31, $95\%$ CI=1.16-16.04) was the most powerful predictor on the turnover intention. In conclusion. this result was similar to those of other studies on the predictors of turnover intention of clinical nurses at hospitals. To decrease the turnover intention among home visiting nurses at public health centers in Busan, alleviating the workload is needed.

• 한국산업보건학회지
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• 제29권4호
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• pp.571-581
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• 2019

Objectives: This study was conducted to measure the knowledge, attitude, and practices on occupational health and the analysis factors influencing them among researchers working at corporate research centers. Methods: A total of 298 researchers working at corporate research centers participated in the study. After eliminating 12 insufficient responses, the responses of 286 participants were used for the final estimate. The questionnaire consisted of questions about general and occupational characteristics as well as knowledge, attitude, and practices on occupational health. Results: Factors influencing occupational health practices were type of business, job position, and attitude toward occupational health. Attitude toward occupational health was found to have the greatest influence. Conclusions: It is necessary to develop educational contents appropriate for each type of industry, implement educational programs for researchers working at corporate research centers, and take actions to prevent health problems among researchers through various health-care activities such as experience-based activities and discussions.

• 한국철도학회:학술대회논문집
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• 한국철도학회 2009년도 춘계학술대회 논문집
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• pp.1871-1877
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• 2009

KORAIL has been established by 1st January 2005. From organization change to KORAIL(Korea railroad Corporation), labour union and company management team has been argument for their train crews and drivers operation system. For example, train crew and driver working conditions; working hours per week, off day and duty day time, over night time working payment, current position payment, preparation time, company own lodge operation and so on. I assure that this comparison study for train crew and driver operation between KORAIL and EWS will helps to improve other korean railway companies management efficiency. In conclusion, EWS has 4$\sim$6 times more efficient employee for active operation than KORAIL per 1 freight brock-train operation. EWS has very resonable train crews and driver operation system, and self-control regulation for employee and management team with trusty. This thesis propose that korean railway companies and their own labour unions need joint research and benchmarking other oversea railway companies as like EWS.

• 대한기계학회논문집
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• 제18권11호
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• pp.2902-2912
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• 1994

The ultrasonic array sensor system, consisting of one transmitter and fourreceivers instead of the traditional combination of a transmitter and a receiver is proposed in order to identify the location of objects. From the theoretical analysis and the experimental results, it is found that this new array sensor system could derive the information on the position of objects accurately, while the traditional sensor system could provide only the informatioin on the distance to objects. This sensor system is used to develop a sonar-based local mapping algorithm. The local map is used to find the existence of possible gates, through which the mobile robots can pass, and to select the suitable one in order for the robots to reach the goal safely in the presence of obstacles. The performance of the proposed local map algorithm is demonstrated experimentally in a small working area with several obstacles. It is found that the quality of the resulting local map is sufficient for the avoidance of collisions between the robots and obstacles and for the selection of the suitable gate leading to the goal. It is also shown that the global map of the working area could be obtained by integrating several local maps constructed from different locations and that it matches the actual layout of the working area well.

• 대한인간공학회지
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• 제26권3호
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• pp.1-9
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• 2007

The purpose of this study was going to research relation of job stress and society psychologic stress according to general characteristic, work characteristic, health characteristic and personality characteristic for the occupational therapist in the working domestic rehabilitation therapy with hospital and welfare center occupational therapist. The research was 91 of withdrawal questionnaire among 102 occupational therapist from 1. November 2005 to 31. December 2005. In the result of analysis the given question for the ninety one occupational therapist showed just normal group 25% 23 person, potential stress group 47% 43 person, and the rest 28% 25 person high risk group. The result shows significance different in general characteristic of job stress about age, final scholarship and marriage. Job stress was included income, working time, office form and working position etc. Health special job stress was significance different according to sleep time. So we have to know a fact of job stress of occupational therapist and prevent of loss of business services. And we have to endeavoring removals factor of stress and good office culture fixation.

• 한국융합학회논문지
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• 제11권9호
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• pp.367-374
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• 2020

본 연구는 간호사의 온라인 교육 태도 및 디지털 리터러시에 영향을 미치는 요인을 확인하기 위한 서술적 조사연구이다. 대상자는 국내 의료기관 내·외과 병동에 근무하는 간호사 190명으로 일반적 특성과 인터넷 사용 특성, 온라인 학습 태도와 디지털 리터러시를 조사했다. 본 연구 결과, 온라인 학습태도와 디지털 리터러시는 인터넷에 대한 접근성, 유용성, 중요성 인식과 관련성이 있었다. 온라인 학습 태도에 영향을 미치는 요인은 성별, 근무병원 규모, 인터넷에 대한 유용성과 중요성 인식이었고, 디지털 리터러시에 영향을 미치는 요인은 나이, 직위, 인터넷에 대한 유용성과 중요성, 온라인 학습 태도였다. 온라인 간호교육 개발에는 인터넷 사용에 대한 인식과 온라인 학습 태도 및 디지털 리터러시와 같은 학습자 특성에 대한 고려가 필요하다.

• 한국산학기술학회논문지
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• 제12권2호
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• pp.617-622
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• 2011

본 논문에서는 고소작업 차량의 플랫폼에 수직하중 조건을 주어 구조해석을 수행한다. 해석모델은 실제 크기의 1:10으로 축소한다. 붐의 각도에 따른 응력분포 및 변형량 분석을 통하여 취약부분을 파악한다. 해석결과를 보면 대부분 붐의 연결부분에서 응력이 집중되는 것을 볼 수 있다. 이러한 해석결과를 통하여 다른 부분에 비하여 상대적으로 취약한 연결부분을 보완함으로서 안전성을 증진시킨다.

• 대한안전경영과학회지
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• 제23권4호
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• pp.93-104
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• 2021

In this paper, we propose a method for diagnosing overload and working load of collaborative robots through performance analysis of machine learning algorithms. To this end, an experiment was conducted to perform pick & place operation while changing the payload weight of a cooperative robot with a payload capacity of 10 kg. In this experiment, motor torque, position, and speed data generated from the robot controller were collected, and as a result of t-test and f-test, different characteristics were found for each weight based on a payload of 10 kg. In addition, to predict overload and working load from the collected data, machine learning algorithms such as Neural Network, Decision Tree, Random Forest, and Gradient Boosting models were used for experiments. As a result of the experiment, the neural network with more than 99.6% of explanatory power showed the best performance in prediction and classification. The practical contribution of the proposed study is that it suggests a method to collect data required for analysis from the robot without attaching additional sensors to the collaborative robot and the usefulness of a machine learning algorithm for diagnosing robot overload and working load.