• Journal of Convergence for Information Technology
• /
• v.10 no.9
• /
• pp.62-70
• /
• 2020

The purpose of this study was to investigate the degree of social support, career decision-making self-efficacy, and Job-Seeking Stress of nursing students, and identify influencing factors of Job-Seeking Stress. A convenience sample of 228 nursing students was conducted from in three departments of nursing. Data were analyzed through descriptive statistics, t-test, ANOVA, Scheffe test, Pearson's correlation coefficient, and multiple regression analysis using IBM SPSS 21.0 program. The higher the social support and career decision self-efficacy, the lower the Job-Seeking Stress. The factors influencing Job-Seeking Stress were social support, first hope career, job readiness, career decision-making self-efficacy, and the explanatory power of these variables for Job-Seeking Stress was 19%. Therefore, in order to prevent, cope with, and mitigate the Job-Seeking Stress of nursing students, it is necessary to develop and apply differentiated Career education programs to increase social support and career decision-making self-efficacy.

• Proceedings of the Korean Institute Of Construction Engineering and Management
• /
• 2004.11a
• /
• pp.145-152
• /
• 2004

Many construction companies have developed many kinds of information system to integrate the information created in the phase of planning, design, procurement, construction, and maintenance of construction project. However, the previous researches for the state of applying information technologies and the efforts of the analysis of the present information system launched in domestic construction industry is very rare. There also has been short of research on the construction decision-making support theory in construction business and industry. Hence this paper would contribute in identifying the state of information technologies and the theory of decision-making support of the information system in general construction company. and suggest the characteristic model on the information system for the construction decision-making support. The model consists of the two dimensions; (1) organizational hierarchy (2) data analyzing technology. This research, especially, can be expected to initiate the discussion on framework for understanding the construction decision-making support system in construction industry. The model is nut a practical methodology, but a window that offers a new perspective un sources of information system in each construction company, and thus can provide a clue of the useful guide to construction information system development.

• Journal of Information Technology Services
• /
• v.13 no.2
• /
• pp.133-149
• /
• 2014

It is unavoidable to provide products that meet customers' needs and wants so that firms may survive under the competition in this globalized market. This paper focuses on how to provide levels for attributes that compse product so that firms may give the best products to customers. In particular, its main issue is how to determine common attributes and the others with their appropriate levels to maximize firms' profits, and how to construct a decision support system to ease decision makers' decisons about optimal common attribute selection using the Semantic Web and SWCL technologies. Parameter data in problems and the relationships in the data are expressed in an ontology data model and a set of constraints by using the Semantic Web and SWCL technologies. They generate a quantitative decision making model through the automatic process in the proposed system, which is fed into the solver using the Logic-based Benders Decomposition method to obtain an optimal solution. The system finally provides the generated solution to the decision makers. This presentation suggests the opportunity of the integration of the proposed system with the broader structured data network and other decision making tools because of the easy data shareness, the standardized data structure and the ease of machine processing in the Semantic Web technology.

• The Transactions of the Korea Information Processing Society
• /
• v.4 no.12
• /
• pp.3045-3051
• /
• 1997

Generally, multi-criteria decisions are made by group of people because of their complexity. In the existing fuzzy aggregation method, the operators using minimum, maximum and average are used to aggregate the viewpoints of many staffs. These methods have problems in that they do not reflect the decision situation in the decision process. In order to solve these problems we propose a new fuzzy multi-criteria decision support systems model that aids the decision maker to aggregate the viewpoints of many staffs according to the decision situation. Moreover, we design the algorithms which can be used in the fuzzy multi-criteria decision support systems and develop its prototying system.

• Korean Journal of Artificial Intelligence
• /
• v.7 no.2
• /
• pp.19-24
• /
• 2019

Lung cancer is a chronic disease which ranks fourth in cancer incidence with 11 percent of the total cancer incidence in Korea. To deal with such issues, there is an active study on the usefulness and utilization of the Clinical Decision Support System (CDSS) which utilizes machine learning. Thus, this study reviews existing studies on artificial intelligence technology that can be used in determining the lung cancer, and conducted a study on the applicability of machine learning in determination of the lung cancer by comparison and analysis using Azure ML provided by Microsoft. The results of this study show different predictions yielded by three algorithms: Support Vector Machine (SVM), Two-Class Support Decision Jungle and Multiclass Decision Jungle. This study has its limitations in the size of the Big data used in Machine Learning. Although the data provided by Kaggle is the most suitable one for this study, it is assumed that there is a limit in learning the data fully due to the lack of absolute figures. Therefore, it is claimed that if the agency's cooperation in the subsequent research is used to compare and analyze various kinds of algorithms other than those used in this study, a more accurate screening machine for lung cancer could be created.

• Proceedings of the Korea Society for Simulation Conference
• /
• 1998.10a
• /
• pp.12-16
• /
• 1998

The purpose of this paper is to develop a knowledge-based real-time decision support system to support decision makers for efficient berth operation of Inchon Port. In these days, the efficient berth operation has been many studied. The berth operation rules differ from port to port and the problem is highly dependent on natural, geographical and operational environment of port. In Inchon Port, the ship's entrance into port and departure from port is extremely affected by the status of dock and berth because of capacity restriction. First, we analyzed the specific characteristics of Inchon Port such as dock based on the data of 1997. And then, we construct the database of experts knowledge for berth utilization. Finally, we build the real-time decision support system for the efficient berth operation of Inchon Port to make the better berth allocation in case of not only regular scheduling but also dynamic scheduling such as delay in berth operation and exchange of ship between berths. The DSS is developed with graphic user interface(GUI) concept to help the user determining user interactive updating of the port status. Then this DSS will be provide decision maker with an efficient and fast way to berth allocation, and reduce wastes of time, space, and manpower in Inchon Port operation.

• International Journal of Naval Architecture and Ocean Engineering
• /
• v.13 no.1
• /
• pp.340-350
• /
• 2021

This paper proposes a decision support model for USVs to improve the accuracy of collision avoidance decision-making. It is formed by Navigation Safety Domain (NSD) and domain-based Collision Risk Index (CRI), capable of determining the collision stage and risk between multiple ships. The NSD is composed of a warning domain and a forbidden domain, which is constructed under the constraints of COLREGs (International Regulations for Preventing Collisions at Sea). The proposed domain based CRI takes the radius of NSD in various encounter situations as threshold parameters. It is found that the value of collision risk in any directions can be calculated, including actual value and risk threshold. A catamaran USV and 6 given vessels are taken as study objects to validate the proposed model. It is found that the judgment of collision stage is accurate and the azimuth range of risk exists can be detected, hence the ships can take direct and effective collision avoidance measures. According to the relation between the actual value of CRI and risk threshold, the decision support rules are summarized, and the specific terms of COLREGs to be followed in each encounter situation are given.

• Journal of the Korea Institute of Building Construction
• /
• v.23 no.6
• /
• pp.851-862
• /
• 2023

This study introduces an objective and systematic framework for prioritizing buildings in the Gamyoung restoration project using a decision-support model. This model integrates evaluation criteria derived from a comprehensive literature review, refined through the Delphi method, and weights assigned via an Analytic Hierarchy Process(AHP) survey. Each building project is scored against these criteria to ascertain its priority for restoration, thereby facilitating informed decision-making for budget allocation in restoration projects. The effectiveness of the decision-support model was validated through a case study and expert consultations, demonstrating its practical utility in formulating concrete restoration project plans.

• The Journal of the Korea Contents Association
• /
• v.22 no.1
• /
• pp.456-469
• /
• 2022

This research was conducted to investigate the structural relationship social support of college students has with their occupational values, career decision, and quality of life. Subjects of study were art and design college students in Seoul. Social support, occupational values, career decision, and quality of life were measured as criteria. SPSS and AMOS were used to test structural model and the relationship among variables. Results of this study are as follows. First, effects of social support on internal and external occupational values were studied. Second, effects of social support on quality of life-satisfaction and happiness-were studied. Third, effects of occupational values on career decision standards were studied. External occupational values had a statistically significant correlation with career decision, while internal occupational values were found to have no statistically significant effect on career decision. Based on the results, it can be inferred that colleges which need to support the careers and employment of students must support students with informational and instrumental support. Design students must be provided with proper career coaching and environment improvement, as well as development of programs suitable for various talents and aptitudes, so that they can shape appropriate occupational values.

• 대한공업교육학회지
• /
• v.44 no.1
• /
• pp.1-22
• /
• 2019

The purpose of this study is to examine the mediating effects of resilience in the relationship between parent support and career decision level of specialization technical high school students and to find out ways to improve the level of desirable career guidance and counseling. The research questions are as follows: First, what is the level of parent support, career decision level, and resilience of special technical high school students? Second, what is the relationship between parent support, career decision level and resilience of high school students? Third, the resilience of resilience plays a mediating role in the relationship between parent support and career decision level of special technical high school students. In order to achieve the purpose of the study, the theoretical background related to parent support, career decision level, and resilience of special technical high school students was investigated and the test tool was produced. The results of the study are as follows. Parental support, career decision level, and resilience were highly correlated. There was a significant correlation between parent support and career decision level, resilience and career decision level, and emotional support and verbal encouragement were more than 50% of the career decision level. In terms of mediating effect, the effect of parent support on career decision level was found to be partially mediated by overall resilience and sub - factors such as control, positive, and sociality. Therefore, in order to improve the quality of career guidance counseling, a program linked to the school and the home should be conducted considering both domestic factors and internal factors.