• Journal of Engineering Education Research
• /
• v.27 no.1
• /
• pp.3-12
• /
• 2024

The degree-linked programs for employees, operated by joint training centers in specialized universities that have implemented work-study integrated programs, are educational programs that require an annual government budget of around 80 billion KRW. However, the 70+ universities running these programs face issues such as a decline in academic achievement and an increase in dropout rates among students. In this paper, I conducted multiple regression analysis based on observed and measured information to examine whether the participating students in these programs are achieving an appropriate level of academic performance and to identify the factors that universities need to invest in to achieve that level. To do this, I hypothesized a causal relationship between the university's input factors and students' academic achievement, and used the SPSS program to analyze the statistical data, confirming the validity of the hypothesis. The collected data for the study were obtained through a survey developed using a Likert 4-point scale, which quantified the distribution of grades among students enrolled in IT-related departments offering the degree-linked programs for employees and the emotional contact efforts made by the universities to motivate them for academic success. Particularly, through the results of multiple regression analysis, it was confirmed that these input factors, unlike those for students in general education programs, require more personalized and frequent interactions.

• Proceedings of the KIEE Conference
• /
• 1997.07b
• /
• pp.705-707
• /
• 1997

An optimal tuning algorithm of scaling factors is presented in this paper to automatically improve the performance of fuzzy controller. Especially, fuzzy controller has determined an moderate Scaling factor through trial and error. The presented method estimates automatically the optimal values of I/O scaling factors, using modified steepest descent method and this optimal tuning is for nonlinear input/output scaling factors. Simulation results verify the validity of the presented method.

• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.5 no.6
• /
• pp.33-39
• /
• 1982

In the design of some systems, the circumstance may require a determination as to whether a giver information input or processing function can best be performed by an individual or by some physical components of a system. In the consideration of human factors, also, in the design of equipment, facilities, and other physical items that people use, there are certain basic stages or processes that typically have to be carried out. The main purpose of this paper is study fundamental man-machine system assumptions in Human Factors Engineering. Therefore, this paper will deal with certain human factors that may be relevant to the design consideration that relate to human information - receiving and processing functions.

• Hwankyungkyoyuk
• /
• v.20 no.1
• /
• pp.106-117
• /
• 2007

The purpose of this study was to evaluate the environmental education of public servants in National Institute of Environmental Human Resource Development(NIERD). Based on CIPP model, Evaluation areas and items were made. The data were collected through interviews, questionnaires and training and development team's internal information from November, 2005 to January, 2006. Based on the interviews and survey of 11 employee from training and development team, context factors, input factors, process factors, product factors were evaluated. The major findings of this study were as follows: First, the problem of the environmental education of environmental officials indicated lack of interest about education of Ministry of Environment, lack of education expense, lack of expertise of employee in training and development team, and so on. Second, the curriculum for environmental officials was not considered the environmental officials' readiness for education, developmental level and competency. Suggestions for future research were offered.

• Proceedings of the KIEE Conference
• /
• 1996.07b
• /
• pp.1034-1036
• /
• 1996

In this paper, an adaptive fuzzy logic controller is presented for auto-tunning of the scaling factors by using learning capability of neural networks. The proposed scheme consists of the FLC which includes the PI-type FLC and PD-type FLC in parallel form and the neural network which learns scale factors of FLC. Computer simulations were performed to illustrate the effectiveness of a proposed scheme. A proposed FLC controller was applied to the second order system and velocity control of the brushless DC motors. For the design of the FLC, tracking error, change of error, and acceleration error are selected as input variables of the FLC and three seal e factors were used in the parallel-type FLC. This scheme can be used to reduce the difficulty in the selection of the scale factors.

• International conference on construction engineering and project management
• /
• 2009.05a
• /
• pp.1364-1369
• /
• 2009

The building construction projects include a variety of risk factors due to uncertainties. To succeed in the projects, it is important how risks are managed. Risk management is composed of identification, analysis and response. Especially, the risk analysis is important to objectively calculate significance of risk factors. This paper evaluates a method to find priorities of risks using the AHP(Analytic Hierarchy Process). The method has some defects; (1) the consistency becomes weak as the number of pair-wise compared risks is large, and (2) the input and output procedures are complex when risks are added to or removed from a risk database. Thus the paper adopt the PROMETHEE(Preference Ranking Organization METHod Enrichment Evaluations) analysis process which is able to overcome the limitation of the AHP restricted to 9 risk factors. The PROMETHEE method makes the procedure of risk analysis simple, when the risk factors pull out and put in the risk database. The purpose of this study is to prove the possibility of the PROMETHEE analysis process by being compared with AHP.

• Proceedings of the Korean Institute of Building Construction Conference
• /
• 2022.04a
• /
• pp.127-128
• /
• 2022

The construction industry has a higher disaster rate than other industries, so safety education and management are highly important. In order to reduce the construction accident rate, it is necessary to study the key safety management factors reflecting the characteristics of the construction industry, where there are differences in processes and manpower input for each process, and a small number of managers. Therefore, in this study, key safety management factors for each Process of construction were derived through cross-analysis between safety accident types and accident occurrence objects through disaster case data. The extracted key safety management factors are expected to provide useful information for safety education and supervision of construction sites.

• Ocean policy research
• /
• v.34 no.2
• /
• pp.1-28
• /
• 2019

The purpose of this study is to analyze the substitution among production factors of Korean distant water longline fisheries in IATTC waters. In the analysis, the translog function which have one output variable of total cost and input variables of labor, fuel, fishing gear, and capital was established and it was transformed into simultaneous equations by each cost. Then, variables of equations were estimated by SUR (seemingly unrelated regression) model. Since distant water longline fisheries is a fishing type with high fuel usage, substitution of fuel with other factors was mainly analyzed. Results showed a substitute relation between fuel and labor as well as fuel and fishing gear, while a complementary relation between fuel and capital. In addition, it was analyzed that magnitude of fuel elasticity with other factors would be inelastic.

• Journal of Nuclear Fuel Cycle and Waste Technology(JNFCWT)
• /
• v.15 no.4
• /
• pp.369-380
• /
• 2017

In order to manage the uncertainty about the evaluation and analysis of the human intrusion scenario of the Gyeongju Low and Intermediate Level Radioactive Waste(LILW) disposal facility, the calculation result by the GENII code was assessed using the RESRAD code, which was developed to evaluate the radiation effects of contaminated soil. The post-drilling scenario was selected as a human intrusion scenario into the near-surface disposal facility to analyze the uncertainty of the modeling by identifying any limitations in the simulation of each code and comparing the evaluation results under the same input data conditions. The results revealed a difference in the migration of some nuclides between the codes, but confirmed that the dose trends at the end of the post-closure control period were similar for all exposure pathways. Based on the results of the dose evaluation predicted by RESRAD, sensitivity analysis on the input factors was performed and major input factors were derived. The uncertainty of the modeling results and the input factors were analyzed and the reliability of the safety evaluation results was confirmed. The results of this study can be applied to the implementation 'Safety Case Program' for the Gyeongju LILW disposal facility.

• Culinary science and hospitality research
• /
• v.17 no.4
• /
• pp.185-203
• /
• 2011

It's hard for hotel organizations to survive without adaptation to changing environment, and employees' positive attitude are required. The empirical objectives of the study include, firstly, to identify individual factors to influence hotel employees' attitude toward organizational change, secondly, to investigate the effects of the individual factors on their attitude toward organizational change mediated through trust in management Derived from existing literature, three underlying dimensions of the individual factors are given; (1) satisfaction with information, (2) freedom to express opinion, and (3) input from employees. An experimental design is applied to test four hypotheses that reflect the research questions. Five star hotels in Korea are targeted to be surveyed. A total of 156 faithful cases out of 300 cases are analyzed in this study. Descriptive statistics and multivariate analysis of variance, and SEM are utilized employing the SPSS and AMOS 7. Results of this study indicate that satisfaction with information, freedom to express opinion, and input from employees are significantly related to hotel employees' attitude toward change mediated through trust in management. At the same time, it shows that trust in management directly influences their attitude toward organizational change. In conclusion, the findings of the study contribute to hotel organizational development.