• Journal of Practical Engineering Education
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• v.11 no.2
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• pp.195-206
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• 2019

Accelerated technological advances and the convergence of information and communication technologies have led to changes of career concepts from one of lifetime employment to that of lifetime career. Given the importance of continuous career development for workers these days, systematic supports for workers' career development at the national level is necessary. Accordingly, a conceptual model of career competency mobility map (CCMM) has been proposed to support the development of workers' career competencies. The purpose of this study is to identify key issues that we should consider for real implementation by applying to each stage of the CCMM conceptual model as a case study. Based on the procedure presented in the conceptual model, the research process which includes collecting user information, conducting self-diagnosis of NCS-based job competencies, deriving necessary training competency, offering the guidance of training programs and job information were conducted. The results of the case study showed our participants' scores of competencies required further development and ranged from 1.83 to 4.52. Sequentially, a personalized information profile was offered for competency development, including training, certificates, and job information. Participants stated that the diagnosis results and profiles were meaningful and helped to explore further career development. Based on the results, implications are suggested.

• Atmosphere
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• v.31 no.2
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• pp.241-249
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• 2021

A smart city utilizes data collected from various sensors through the internet of things (IoT) and improves city operations across the urban area. Recently substantial research is underway to examine all aspects of data that requires for the smart city operation. Atmospheric data are an essential component for successful smart city implementation, including Urban Air Mobility (UAM), infrastructure planning, safety and convenience, and traffic management. Unfortunately, the current level of conventional atmospheric data does not meet the needs of the new city concept. New and innovative approaches to developing high spatiotemporal resolution of observational and modeling data, resolving the complex urban structure, are expected to support the future needs. The geographic information system (GIS) integrates the atmospheric data with the urban structure and offers information system enhancement. In this study we proposed the necessity and applicability of the high resolution urban meteorological dataset based on heavy fog cases in the smart city region (e.g., Sejong and Pusan) in Korea.

• Journal of Korean Society of Archives and Records Management
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• v.13 no.3
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• pp.151-171
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• 2013

To comprehend the importance and necessity of record management metadata standard implemented in an electronic medical records system, a survey was undertaken to 50 medical records managers in charge of 5 major hospitals in Seoul. Analysis of the survey results was performed by averaging the responses given by those who answered the survey. SPSS was utilized for statistical analysis. Managers of medical records placed importance on metadata that are related to security of records, such as "levels of security", "types of access to medical records", "levels of authorization granted to personnel", and "users accessing medical records". It shows that these managers need the functions of privacy protection in ERMS. Metadata on "external disclosure" had the lowest level but those surveyed with more than 7 years of experience placed greater importance in this area more those surveyed with less than 7 years of experience in a hospital. This shows that managers need the functions of external disclosure to meet the needs of third partiesfor medical research and medical education.

• The Journal of Information Systems
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• v.31 no.3
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• pp.177-195
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• 2022

Purpose This paper aims to prepare a full operational readiness by establishing an optimal flight plan considering the weather conditions in order to effectively perform the mission and operation of military aircraft. This paper suggests a flight prediction model and rules by analyzing the correlation between flight implementation and cancellation according to weather conditions by using big data collected from historical flight information of military aircraft supplied by Korean manufacturers and meteorological information from the Korea Meteorological Administration. In addition, by deriving flight rules according to weather information, it was possible to discover an efficient flight schedule establishment method in consideration of weather information. Design/methodology/approach This study is an analytic study using data mining techniques based on flight historical data of 44,558 flights of military aircraft accumulated by the Republic of Korea Air Force for a total of 36 months from January 2013 to December 2015 and meteorological information provided by the Korea Meteorological Administration. Four steps were taken to develop optimal flight prediction models and to derive rules for flight implementation and cancellation. First, a total of 10 independent variables and one dependent variable were used to develop the optimal model for flight implementation according to weather condition. Second, optimal flight prediction models were derived using algorithms such as logistics regression, Adaboost, KNN, Random forest and LightGBM, which are data mining techniques. Third, we collected the opinions of military aircraft pilots who have more than 25 years experience and evaluated importance level about independent variables using Python heatmap to develop flight implementation and cancellation rules according to weather conditions. Finally, the decision tree model was constructed, and the flight rules were derived to see how the weather conditions at each airport affect the implementation and cancellation of the flight. Findings Based on historical flight information of military aircraft and weather information of flight zone. We developed flight prediction model using data mining techniques. As a result of optimal flight prediction model development for each airbase, it was confirmed that the LightGBM algorithm had the best prediction rate in terms of recall rate. Each flight rules were checked according to the weather condition, and it was confirmed that precipitation, humidity, and the total cloud had a significant effect on flight cancellation. Whereas, the effect of visibility was found to be relatively insignificant. When a flight schedule was established, the rules will provide some insight to decide flight training more systematically and effectively.

• Journal of Intelligence and Information Systems
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• v.20 no.2
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• pp.149-162
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• 2014

Course guidance is a mentoring process which is performed before students register for coming classes. The course guidance plays a very important role to students in checking degree audits of students and mentoring classes which will be taken in coming semester. Also, it is intimately involved with a graduation assessment or a completion of ABEEK certification. Currently, course guidance is manually performed by some advisers at most of universities in Korea because they have no electronic systems for the course guidance. By the lack of the systems, the advisers should analyze each degree audit of students and curriculum information of their own departments. This process often causes the human error during the course guidance process due to the complexity of the process. The electronic system thus is essential to avoid the human error for the course guidance. If the relation data model-based system is applied to the mentoring process, then the problems in manual way can be solved. However, the relational data model-based systems have some limitations. Curriculums of a department and certification systems can be changed depending on a new policy of a university or surrounding environments. If the curriculums and the systems are changed, a scheme of the existing system should be changed in accordance with the variations. It is also not sufficient to provide semantic search due to the difficulty of extracting semantic relationships between subjects. In this paper, we model a course mentoring ontology based on the analysis of a curriculum of computer science department, a structure of degree audit, and ABEEK certification. Ontology-based course guidance system is also proposed to overcome the limitation of the existing methods and to provide the effectiveness of course mentoring process for both of advisors and students. In the proposed system, all data of the system consists of ontology instances. To create ontology instances, ontology population module is developed by using JENA framework which is for building semantic web and linked data applications. In the ontology population module, the mapping rules to connect parts of degree audit to certain parts of course mentoring ontology are designed. All ontology instances are generated based on degree audits of students who participate in course mentoring test. The generated instances are saved to JENA TDB as a triple repository after an inference process using JENA inference engine. A user interface for course guidance is implemented by using Java and JENA framework. Once a advisor or a student input student's information such as student name and student number at an information request form in user interface, the proposed system provides mentoring results based on a degree audit of current student and rules to check scores for each part of a curriculum such as special cultural subject, major subject, and MSC subject containing math and basic science. Recall and precision are used to evaluate the performance of the proposed system. The recall is used to check that the proposed system retrieves all relevant subjects. The precision is used to check whether the retrieved subjects are relevant to the mentoring results. An officer of computer science department attends the verification on the results derived from the proposed system. Experimental results using real data of the participating students show that the proposed course guidance system based on course mentoring ontology provides correct course mentoring results to students at all times. Advisors can also reduce their time cost to analyze a degree audit of corresponding student and to calculate each score for the each part. As a result, the proposed system based on ontology techniques solves the difficulty of mentoring methods in manual way and the proposed system derive correct mentoring results as human conduct.

• The Journal of Korean Association of Computer Education
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• v.17 no.3
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• pp.65-74
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• 2014

The purposes of this study were to analyze the mobile learning usages of adult learners and how their perceptions of the mobile learning affects their learning achievements in a cyber-university. 1,118 online adult learners who enrolled in a cyber-university in Korea were involved in this study and the data for their demographic information, mobile learning usages, the perceptions of mobile learning(self-efficacy for mobile learning, perceived ease of use, perceived usefulness, and learning satisfaction) and the learning achievement were collected. The main findings of this study were as follows. First, the subjects in this study showed higher participation rates in the mobile learning with recently introduced mobile devices compared to the results of previous studies. They also showed the need of more learning materials and video streamed lectures. Second, the higher-aged subjects showed relatively higher levels of perception of mobile learning compared to the lower-aged group. Third, the effects of the subjects' perceptions of mobile learning to their learning achievement seem to be limited. It was recommended to enhance the quality of the mobile learning especially considering the relationships between the perceived usefulness and the learning achievement.

• Journal of the Korean Society of Marine Environment & Safety
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• v.27 no.7
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• pp.1044-1050
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• 2021

After the occurrence of several passenger ship accidents in Korea, various systems are being developed for passenger ship safety management. A total of 162 passenger ships operate along the coast of Korea, of which 105 (65 %) are car-ferries with open vehicle decks. The car-ferry has a navigation pattern that passes through 2 to 4 islands. Safety inspections at the departure point(home port) are carried out by the crew, the operation supervisor of the operation management office, and the maritime safety supervisor. In some cases, self-inspections are carried out for safety inspections at layovers. As with any system, there are institutional and practical limitations. To this end, this study was conducted to suggest a method of detecting a vehicle using image processing and linking it to the calculations for ship stability. For vehicle detection, a method using a difference image and one using machine learning were used. However, a limitation was observed in these methods that the vehicle could not be identified due to strong background lighting from the pier and the ship in the cases where the camera was backlit such as during sunset or at night. It appears necessary to secure sufficient image data and upgrade the program for stable image processing.

• 대한공업교육학회지
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• v.39 no.1
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• pp.164-188
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• 2014

The purpose of this study is to investigate the perception of undergraduates of the college of education on the importance of certification areas and factors suggested by the certification system at each department level as well as the college as a whole, in order to come up with measures for further improvement. The specific objectives of this study are first, verifying different perception on the importance of certification areas and factor per department, second, verifying different perception on the importance of certification areas and factor per grade. The population of this study is undergraduates of the college of education at A University, and the survey on the different perception on the importance was conducted on 758 students of 10 departments. Total 800 copies of survey were distributed, and 299 copies or 37.3% were retrieved. First, it was found that undergraduates of the college of education at A University highly recognize the necessity of a new system to produce excellent teachers. when it comes to different department, in the area of teaching personalities, there is difference in the importance of teaching aptitude test and completion of social intelligence development program. In the area of teaching expertise, there is different perception in the importance of completion of curriculum education subjects per major, completion of curriculum contents per major, and participation in teaching demonstration contest. In the area of student guidance expertise, there is difference by department in completion of creative character development related education programs and "teaching practice" course. In the area of communication skills in the information society, minimum score requirement for a second foreign language is considered less important than others. Second, as for grade, freshmen highly recognize the importance of validity of teaching training course, integrity of the course, validity of the teaching training course in producing excellent teachers, graduates' job performing ability development as a teacher, appropriacy of curriculum of the college of education in producing excellent teachers, compared to other grades. In particular, seniors consider the necessity of a new system to produce excellent teachers the most.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.10 no.12
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• pp.2283-2288
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• 2006

As development in technology of bioinformatics recently makes it possible to operate micro-level experiments, we can observe the expression pattern of total genome through on chip and analyze the interactions of thousands of genes at the same time. Thus, DNA microarray technology presents the new directions of understandings for complex organisms. Therefore, it is required how to analyze the enormous gene information obtained through this technology effectively. In this thesis, We used sample data of bioinformatics core group in harvard university. It designed and implemented system that evaluate accuracy after dividing in class of two using Bayesian algorithm, ASA, of feature extraction method through normalization process, reducing or removing of noise that occupy by various factor in microarray experiment. It was represented accuracy of 98.23% after Lowess normalization.

• Information Systems Review
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• v.13 no.2
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• pp.73-87
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• 2011

This study measures the research productivity of IS researchers in South Korea. In this study, we select 11 leading IS journals, those are MIS Quarterly(MISQ). Information Systems Research(ISR), Journal of Management Information Systems(JMIS), Journal of the Association for Information Systems(JAIS), European Journal of Information Systems(EJIS), Information Systems Journal(ISJ), Decision Support Systems(DSS). Communications of the Association for Information Systems(CAIS), Information and Management(I&M), Journal of Strategy Information Systems(JSIS), and Journal of Information Technology(JIT). We analyzed the published articles of IS researchers in South Korea between 2007 and 2009 using scientometric techniques for measuring research productivity. The findings of this study provide evidences that IS research productivity has become a comprehensive information to business tool to assist advertizing of electing student of IS department and university, and take a person into IS professor in the IS job market. IS productivity research on Korean IS researcher rarely showed. The unique study showed valuable contributions for academicians to provide a better comprehension of publishing trend of leading IS journals.