• Journal of Korean Critical Care Nursing
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• v.16 no.3
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• pp.62-72
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• 2023

Purpose : This study aims to assess the extent of work value, psychological ownership, the nursing work environment, and retention intention, examine the correlation between these variables, and identify the factors that influence retention intention. The goal is to provide foundational data to enhance retention intention. Method : The study involved 159 nurses employed at a tertiary general hospital and a general hospital. Data were gathered through structured questionnaires and analyzed using an independent t-test, one-way ANOVA, Scheffé test, Pearson correlation coefficient, and multiple regression analysis with a simultaneous stepwise method, all conducted using the SPSS 26.0 software. Results : The intention to remain in the profession was found to have a positive correlation with work value (r = .45, p < .001), psychological ownership (r = .37, p < .001), and the nursing work environment (r = .27, p = .001). Significant factors influencing the intention to stay included total clinical career (𝛽 = .17, p = .016), work value (𝛽 = .38, p < .001), and psychological ownership (𝛽 = .19, p = .020). These variables accounted for 24.1% of the variance in the intention to remain in the profession (F = 17.71, p < .001). Conclusion: To enhance the intention of hospital staff to remain in their positions, it is crucial to identify and bolster positive psychological competencies, such as a sense of work value and psychological ownership.

• Korean Journal of Construction Engineering and Management
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• v.7 no.1 s.29
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• pp.128-137
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• 2006

Recently the role and the importance of design value engineering is expected to be high, so research is needed for its effective accomplishment. But in domestic arena, the introduction of the history of design value engineering is too short and insufficient in act of research. Therefore in this research we have suggest the standard for the effective accomplishment of design value engineering work. The way is the abstraction many causes. firstly, we analyzed the team project case of value engineering professional instruction. second, we analyzed the cause of problem produced in accomplishment process of design value engineering work through research for the professional field. So from the base of the analyzed content, we have suggest main control factor for the effectiveness of design value engineering work and the following scheme and process of work efficiency optimization.

• Health Policy and Management
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• v.5 no.2
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• pp.202-229
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• 1995

In Korea, Resource-Based Relative Value Scale(RBRVS) is suggesting to the alternative of Korean Medical Fee Schedule. This study developed to methodology of RBRVS applicable to Korean situation and applied to services of internal medicine and general surgery. Our methodology of RBRVS is basically same to Hsiao's. But there are some differences between our method and H냐매's because Korean medical situation differs to American. The first difference is method of measurement of work. The Unit of work in our study is total work including intra-servic work and pre-/post-service work. Secondly, in extrapolation, we use primary data gathered to small group of physician. Tertially, in measurement of practice cost, we directly survey to budget data of hosptials and analyse practice costs by service. Some results are presented in a companion article.

• Journal of Power System Engineering
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• v.20 no.3
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• pp.64-73
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• 2016

In this research work, an algorithm development on tracking end-point of aerial work platform with jib profile and bend-linked boom was carried out to find the X, Y and Z direction value using coordinate transformation matrix. This matrix consists of device status value(length and angle) based on camera position axis, which are sent from device controller PLUS+1 by CAN protocol. These values are used to measure the distance and angle from the camera to the end-point. Using these distance and angle value, monitoring system controls FAN/TILT/ZOOM status of camera to get an adequate scene of workplace. This program was written in Java, C# and C for mobile device. These results provide the information to the aerial work device for secure operation.

• The Korean Journal of Emergency Medical Services
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• v.12 no.3
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• pp.5-15
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• 2008

Purpose : This study is a descriptive research to provide basic factors of posttraumatic stress in Firefighters. This study was carried out to develop the effective program for the fire fighters to cope with the posttraumatic stress following the disasters. Methods : The questionnaires were collected among fire fighters who serviced in K and I community from April 1 to June 30 in 2008. Total 304 questionnaires were analyzed by SPSS WIN program for descriptive statistics, Pearson's correlation coefficient and t-test. Results : 1. 48.0% of 300 fire fighters were at the age of 31-40, and 42.3% were under 30. 2. Work burden had a significant difference of 2.30 in low-risk group, 2.60 in high-risk group(t-value=-3.85, p=0.00). However, life event had no significant difference 0.79 event in low-risk group, 1.41 event in high-risk group(t-value=-2.27, p=0.24). 3. Concerning posttraumatic stress factors, there was positive correlation between mobilization impact level r=0.38(P<0.01), work burden r=0.38(p<0.01), and life event r=0.27(p<0.01). 4. According to the Symptom Check List-Revised(SCL-90-R), somatization had a significant differences(t-value=5.46, p=0.00), obsessive-compulsive(t-value=7.16, p=0.00), interpersonal sensitivity(t-value=6.15, p=0.00), depression(t-value=6.62, p=0.00), anxiety (t-value=7.33, p=0.00), hostility(t-value=5.94, p=0.00), phobia anxiety(t-value=6.85, p=0.00), paranoid ideation(t-value=5.55, p=0.00), psychotism(t-value=6.52, p=0.00) in low-risk and high-risk group. Conclusion : As a consequence, mobilization impact, work burden, and life event were the influential factors on posttraumatic stress. Also, high-risk group revealed significantly higher score on all 9 scales. The information obtained from surveys made recommendation to develop the intervention of stress management to control mobilization impact and posttraumatic stress.

• Journal of the Korean Home Economics Association
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• v.46 no.6
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• pp.33-48
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• 2008

The purpose of this study was to examine consciousness of household work and participation in adolescents. Partitioned by gender, the personal characteristics, Sociodemographic variables, and parents' household work variables of each respondent was analyzed. The results are summarized as follows. Firstly, adolescents demonstrated positive consciousness on the value, and participation in, of household work. However, participation rates in household work was lower than consciousness. Secondly, male adolescent participation in household work varied according to communication satisfaction with family, father's participation in household work, father's consciousness on equality of both sexes, amount of household work delegated, and amount of household work delegated to each sex. However, female adolescent participation in household work varied according to mothers' employment status, father's participation in household work, amount of household work delegated, and amount of household work delegated to each sex. Finally, father's participation in household work directly, and indirectly, affected male adolescent participation. However, in female adolescents, parents' compliment was the most meaningful variable directly and indirectly related to participation in household work.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2001.01a
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• pp.37-44
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• 2001

This paper describes the modeling of work environment for the extraction of abstract operation rules for cooperative work with multiple agent. We propose the modeling method using a potential field. In the method, it is applied to a box pushing problem, which is to move a box from a start to a goal b multiple agent. The agents follow the potential value when they move and work in the work environment. The work environment is represented as the grid space. The potential field is generated by Genetic Algorithm(GA) for each agent. GA explores the positions of a potential peak value in the grid space, and then the potential value stretching in the grid space is spread by a potential diffusion function in each grid. However it is difficult to explore suitable setting using hand coding of the position of peak potential value. Thus, we use an evlolutionary computation way because it is possible to explore the large search space. So we make experiments the environment modeling using the proposed method and verify the performance of the exploration by GA. And we classify some types from acquired the environment model and extract the abstract operation rule, As results, we find out some types of the environment models and operation rules by the observation, and the performance of GA exploration is almost same as the hand coding set because these are nearly same performance on the evaluation of the consumption of agent's energy and the work step from point to the goal point.

• Journal of Digital Convergence
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• v.18 no.9
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• pp.199-210
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• 2020

The objective of this study was to identify generational difference of work value and job engagement. Total 256 nurses participated in Korea. Analysis of variance(ANOVA) was conducted to investigate the generational differences of work value and job engagement and factors of work values influencing to job engagement was identified by multiple regression analysis. Nurses considered financial benefits, job security, and work environment as the most important thing and autonomy, possibilities of promotion, and contribution to society were considered less important in their work life. Y and Z-generation nurses respected more to interests at work and time availability for private life than X-generation in work life.

• Journal of the Society of Naval Architects of Korea
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• v.56 no.6
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• pp.488-496
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• 2019

The estimation of block erection work time at a dock is one of the important factors when establishing or managing the total shipbuilding schedule. In order to predict the work time, it is a natural approach that the existing block erection data would be used to solve the problem. Generally the work time per unit is the product of coefficient value, quantity, and product value. Previously, the work time per unit is determined statistically by unit load data. However, we estimate the work time per unit through work time coefficient value from series ships using machine learning. In machine learning, the outcome depends mainly on how the training data is organized. Therefore, in this study, we use 'Feature Engineering' to determine which one should be used as features, and to check their influence on the result. In order to get the coefficient value of each block, we try to solve this problem through the Ensemble learning methods which is actively used nowadays. Among the many techniques of Ensemble learning, the final model is constructed by Stacking Ensemble techniques, consisting of the existing Ensemble models (Decision Tree, Random Forest, Gradient Boost, Square Loss Gradient Boost, XG Boost), and the accuracy is maximized by selecting three candidates among all models. Finally, the results of this study are verified by the predicted total work time for one ship among the same series.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• autumn
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• pp.389-392
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• 2002

Local Mechanical work is researched which spending unnecessary labors and time due to unnecessary material accumulation and fabricated on site. Accordingly, this study analyzes the work process of mechanical equipments by Lean Production principles. Value Stream Analysis(VSA) uncovers waste factor of the existing method and manufactory production method using Value Stream Mapping(VSM). In the results, this study presents improvement of the existing method problems and negative factors of manufactory production.