• The Journal of the Convergence on Culture Technology
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• v.9 no.6
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• pp.743-750
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• 2023

This research aims at drawing implications by positive and negative variables affecting burnout of young working adults. The authors derived social support and empathy from sorting out the positive variables, and job boredom and job stress from the negative variables. Many studies have shown that these selected variables are believed to influence considerably on burnout. This research is achieved by the method of hierarchical multiple regression analysis. The results indicate that four positive and negative variables influence on burnout, and the negative variables(job stress, job boredom) have the greater effect than the positive variables(empathy, social support) do. Thus, there is an urgent need for care and concern for the social beginners.

• Journal of Family Resource Management and Policy Review
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• v.16 no.2
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• pp.19-39
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• 2012

Many students who attend university are worried about their future employment and academic achievement. Self-leadership is the ability to deal wisely with employment matters and to recognize the employment strategies of students who display self-leadership qualities. For this purpose, 320 questionnaires were distributed to students attending universities in Seoul. The 304 collected questionnaires were used as data for the final analysis. First, the university students' average self-leadership rate was 3.73, and their average employment rate was 3.24. In terms of self-leadership by subordinate domains, the most common strategy was to introduce "natural compensation activities", and the least common strategy was to focus on "inner compensation". For the employment strategy, "academic credit" was the best managed, and "active behavior" was the least well managed. Second, in terms of the differences in self-leadership due to social demographic variables, the self-leadership levels showed significant differences, according to their credits in general. Furthermore, they showed significant differences depending on gender and the leadership experience among the subordinate variables. Moreover, the university students' employment strategies showed significant differences according to gender, leadership experience and leadership education. Third, in terms of the difference between self-leadership and employment strategies due to psychological variables, self-efficacy and university-life satisfaction levels made significant differences in terms of self-leadership. Fourth, the group with high self-leadership levels also had highly developed employment strategies, compared to the group with low self-leadership levels. Fifth, after analyzing the social demographic variables, the psychological variables and the influence of self-leadership, it appears that the explanation level increased at each step. This study demonstrates that experiencing many opportunities that promote self-leadership during university causes students to worry about their future careers and prohibits them from developing into independent, responsible adults who can accomplish their goals.

• Journal of Advanced Marine Engineering and Technology
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• v.36 no.8
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• pp.1104-1110
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• 2012

The inverted pendulum system is a common, interesting control problem that involves many basic elements of control theory. In the early, controls of stabilization for the inverted pendulum system were used classical methods like PD, PID controller. In recently, however, control methods based on modern and intelligent control theory are widely applied. The fuzzy logic controller which is often used in nonlinear control is a little too hard to design due to increasing fuzzy rules rapidly if the given system like inverted pendulum has many state variables. Also, in case the state variables are divided into two parts, two fuzzy controllers are needed in the control system. In this paper, the authors propose FCSC(Fuzzy Controller based on State variables Combination) that reorganized into two new signals depending on the physical meaning of the four state variables of the inverted pendulum system. The proposed method is applied to the inverted pendulum system and simulations are accomplished to illustrate the control performance.

• Proceedings of the Korean Society for Technology of Plasticity Conference
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• 2001.10a
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• pp.216-219
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• 2001

The production of fine wire through multi-pass wet wire drawing process would be impossible with no backtension at inlet of dies. Backtension is affected by many process parameters, such as dies reduction, coiling number of wire at capstan, machine constant, slip between wire and capstan, characteristic of lubricant and so on. Up to date, dies design and dies pass schedule of multi-pass wet wire drawing process have performed by trial and error of expert in the Industrial field without consideration of quantitative relation among process variables. Thus study investigates the multi-pass wet wire drawing process considering the relation among process variables, such as dies reduction, coiling number of wire at capstan, machine constant, slip between wire and capstan, etc. And analysis program which can analyze many important process values(drawing force, backtension force, slip rate, slip velocity rate, etc) for die design and dies pass schedule of multi-pass wet wire drawing process was developed.

• Korean Journal of Psychosomatic Medicine
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• v.2 no.1
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• pp.46-51
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• 1994

Model' is one of the well-used, but poorly understood word in the neurobehavioral research. After Darwin's evolutionary theory, it has been generally believed that human is different from animals in terms of the complexity, not of the essential. This notion could be applied to the mind as well as body. Therefore, it became possible to establish animal models in the scientific field of mind. Experimental analysis of the animal behavior becomes an important area for establishing an animal model of human psychopathology because behavior is the ambassador of the mind. A model emphasizes a structural correspondence between sets of causally related variables in two different domains such as the animal and the human. The first selection of elements of the two domains in correspondence called the initial analogy. Once the initial analogy is formed. causally related variables in the two domains are examined and arrayed The structural parallel is the formal analogy of a model, and similarities between corresponding variables are called material analogy. Models may serve any of three major functions ; heuristic, evidential and representative. In many cases, utilizing models may be more practical than directly assessing the domain of primary interest, since technical and/or ethical problems are more serious in the human domain. Although modeling is important to study human psychopathology, rare animal models approved to be a good model for the human psychopathology up to now. Developing the appropriate model is urgent to solve many problems raised from human psychopathology.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.2
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• pp.401-410
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• 2021

The study tests resilience and work ethics as mediators between charismatic leadership and affective commitment to change. Many organizations, such as banking, insurance companies, and financial institutions, face strong competition and consequently need to effect considerable change within the organization. Many variables have a significant impact on the success of organizational change, and people (resilience and work ethics) as well as change leaders are primary variables in this research. This study, using structural equation modeling, was conducted on a sample of 355 employees from banking and insurance companies. In this study, the inventory of affective commitment to change, the Conger-Kanungo charismatic leadership scale, resilience, and work ethic inventory was used. The results showed that resilience is a partial mediator between charismatic leadership and affective commitment to change. Meanwhile, work ethic was not a mediator between the two variables. The results showed that charismatic leadership can have a direct, positive, and significant impact on affective commitment to change without mediators, and that resilience can act as partial mediator. Furthermore, work ethic had a significant and positive effect on affective commitment to change through resilience. In other words, resilience is a full mediator for the impact of work ethic on affective commitment to change.

• Journal of The Korea Institute of Healthcare Architecture
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• v.28 no.2
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• pp.7-16
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• 2022

Purpose: This study aimed to present an analysis model evaluating evacuation performance considering patient types and procedural evacuation in the medical facility. The user group of the medical facility, including users challenged in evacuation behavior, entails the risk of many casualties. Therefore, it is necessary to plan an evacuation procedure that considers the evacuation characteristics of users. Methods: Through the review of precedent studies, the evacuation procedure of the medical facility, the classification of patient types, and the evacuation procedure was set as conditions and variables for the analysis. The result caused by a variety of conditions and variables were explored. Results: 1) The total evacuation completion time and congestion time were shortened at the procedural evacuation. Moreover, it derived many users from evacuating at the initial phase. 2) The proposed model can provide a basis for proposing a space planning direction that considers the possibility of not carrying out the evacuation plan. 3) It supports safe evacuation by identifying variables that reduce overcrowding by comparing the congestion time of overcrowded spaces. 4) The analysis model can identify the overcrowded space through the evacuation route and suggest the basis for architectural improvements that reduce overcrowding. Implications: The study results can be used to analyze the performance of evacuation procedures and support the establishment of evacuation procedures and building plans for safe evacuation for medical facilities.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.45 no.4
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• pp.127-133
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• 2022

Many manufacturers applying third party logistics (3PLs) have some challenges to increase their logistics efficiency. This study introduces an effort to estimate the weight of the delivery trucks provided by 3PL providers, which allows the manufacturer to package and load products in trailers in advance to reduce delivery time. The accuracy of the weigh estimation is more important due to the total weight regulation. This study uses not only the data from the company but also many general prediction variables such as weather, oil prices and population of destinations. In addition, operational statistics variables are developed to indicate the availabilities of the trucks in a specific weight category for each 3PL provider. The prediction model using XGBoost regressor and permutation feature importance method provides highly acceptable performance with MAPE of 2.785% and shows the effectiveness of the developed operational statistics variables.

• Journal of Navigation and Port Research
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• v.34 no.7
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• pp.559-566
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• 2010

The container port industry has been variously studied by many researchers, because the contemporary container transportation and container port industries play a pivotal role in globalization of the world economy. For container terminals, the productivity, affected by many factors, is an important target in measuring container terminal performance. Under this background, finding the critical factors affecting the productivity is necessary. Regression analysis can be used to identify which independent variables are related to the dependent variable, and explore the relationships of them. The aim of paper is to evaluate the factors affecting the productivity of Chinese major terminals by using a regression statistical analysis modeling approach, which is to establish the variable preprocessing model (VPM) and regression analysis model (RAM), by means of collecting the major Chinese container terminals data in the year of 2008.

• Journal of Welding and Joining
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• v.18 no.3
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• pp.114-121
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• 2000

Since resistance spot welding has become one of the most popular sheet metal fabrication processes, a strong emphasis is being put on the quality of the welds. Throughout the years many quality estimation systems have been developed by many researchers to ensure weld quality. In this study, the process variables, which were monitored in the primary circuit of the welding machine, are used to estimate the weld quality with Hopfield neural network. The primary dynamic resistance is vectorized and stored as five patterns in the network. As the welding is done, the dynamic resistance patterns are recognized and the quality is estimated with the proposed method. Due to the primary process variables, it is possible to utilize this algorithms as an in-process real time quality monitoring system.