• Journal of the Korean Geographical Society
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• v.40 no.6 s.111
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• pp.770-788
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• 2005

In this article, major research trends are examined mainly from articles published in Journal of the Korean Geography, academic society journals of sub-fields in geography and Ph.D. dissertations in geography of universities in Korea. Based on the research trends up to current point, issues and research directions in order to raise the status of Korean Geography in the twenty first century are prospected. Sixty years of Korean Geography can be divided into 4 periods such as before 1970s, during the 1980s, during the 1990s, and the period after the 2001. Each period of time revealed distinct aspects of development both quantitatively and qualitatively. For the last 60 years, the study of Korean Geography has gone through enormous changes in the number of articles with dynamics and variety in contents and methodology, breathing with the changes of the Korean society. Experiencing urbanization and industrialization along with rapid economical growth, the study of Korean Geography has progressed by analyzing the issues and problems of national space and conducting various researches from the case studies for problem-solving to the theoretical and policy oriented studies. The key-words such as 'knowledge based information society', 'aged society', and 'the era of globalization' will be realized in the twenty flit century. And environment-friendly policies for sustainable development will be more stressed in a globalized world. In order to provide research methods and alternatives suitable for newly transformed global society and for utilizing the essence of Geography in the future, the studies on Korean Geography should actively focus on integrative studies between physical and human geography, on interdisciplinary studies, on regional studies related to foreign countries and North Korea, and on the establishment of Korean geographical theory and model.

• Journal of the Institute of Convergence Signal Processing
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• v.18 no.1
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• pp.13-20
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• 2017

In this paper, we evaluate the basic test results of the 32 Gbps observational equipment introduced as the back-end system for the wideband VLBI (Very Long Baseline Interferometry) observation of KVN (Korean VLBI Network). Radio astronomers want to make a large radio telescope that has excellent performance in order to observe the superfine structure of a celestial body, but a lot of money is needed. Therefore, in order to increase the sensitivity, the performance improvement of the receiving system and the method of observing the wide frequency bandwidth are introduced. To do this, we adopted a wideband sampling method for converting analog signals to digital with ultra-fast speeds and a wideband sampler for performing digital filtering in order to observe a wide observational frequency bandwidth. The wideband sampler (OCTAD-K) supports up to 16 Gsps-2bits sampling and supports a variety of observational bandwidth using digital filtering techniques. In particular, it is designed to support KVN's 4-frequency simultaneous observation system and VERA(VLBI Exploration of Radio Astrometry)'s 2-beam observation system. It can also support polKVN(Korean VLBI Network), KaVA(KVN and VERA Array), 32Gbps Direct Sampler, Digital Filter, Widebandarization observations and supports the standard VDIF(VLBI Data Interchange Format) format of observed data. In this paper, the performance of the system and the problem solving are described in detail after performing the factory inspection and field test before the system is introduced.

• Journal of The Korean Association of Information Education
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• v.17 no.3
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• pp.277-290
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• 2013

As the deployment of digital learning environment has been accelerating in rapid changes in information and communications technology, a tool is required to practically measure and evaluate the level of information education (IE) for freshmen in the University in order to propose an appropriate direction of IE in a teachers college. According to such current trends, ICT literacy is a tool to assess a specific level of capabilities such as a variety of real-world problem-solving skills, creativity, critical thinking, analytic reasoning, and communication skills. This study has developed a test tool to measure ICT literacy competence on the basis of the concept of test questions defined from the previous research. It was used to measure ICT literacy competence of 360 university freshmen of education and analyze if there is a difference among them depending on overall ICT literacy levels and genders, content areas, competence factors, and completion of IE course in high school. The result of this study would be expected to determine the current location of IE for freshmen in the University of Education and to be able to take advantage of basic data of the direction for IE course that university students need to essentially acquire in preparation for the coming future.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.18 no.6
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• pp.1283-1293
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• 2014

In ubiquitous environment, data are changing rapidly and new data is coming as times passes. And sometimes all of the past data will be lost if there is not sufficient space in memory. Therefore, there is a need to make rules and combine it with new data not to lose all the past data or to deal with large amounts of data. In making decision trees and extracting rules, the weight of each of rules is generally determined by the total number of the class at leaf. The computational problem of finding a minimum finite state acceptor compatible with given data is NP-hard. We assume that rules extracted are not correct and may have the loss of some information. Because of this precondition. this paper presents a new approach for refining rules. It controls their weight of rules of previous knowledge or data. In solving rule refinement, this paper tries to make a variety of rules with pruning method with majority and minority properties, control weight of each of rules and observe the change of performances. In this paper, the decision tree classifier with extended data expression having static weight is used for this proposed study. Experiments show that performances conducted with a new policy of refining rules may get better.

• Journal of Digital Convergence
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• v.14 no.5
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• pp.85-93
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• 2016

Convergent education is essential to develop consilient thinking skills, ability to recreate information and knowledge, and problem-solving skills which are demanded in society of convergent knowledge. Accordingly, this study is going to develop a convergent class model of augmented reality and art based on consilient knowledge. Teaching model is designed based on the ADDIE model, which was operated by opening a real class in order to verify the validity. The result showed a high satisfaction of learners showed the ability to adapt to the major areas associated with the cultivation of learners. Characteristics of augmented reality medium were found to enable learners to analyze a new phenomenon and to fuse the necessary knowledge by inducing them to actively interact by the their intention in learning. Therefore, it is possible to cultivate creative and convergent persons of ability equipped with more flexible and creative thinking ability and discernment through deepened education for recognizing and understanding convergent cases between art and scientific technology. There is a study on the validation and the convergence of different subjects in terms of a variety of aspects, left behind of this study.

• Journal of the Korean Geographical Society
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• v.45 no.1
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• pp.144-164
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• 2010

This study aims to reveal path selection strategies and individual differences in a navigation task. Two experiments were presented that studied human route planning performance as well as the cognitive strategies and processes involved. For the outdoor task, university students were asked to select a route based on the instruction, i.e. to find the best route from the campus main gate to the Education Building for conference visitors by locating eight signposts. Results indicate (1) that locations of signposts were selected preferably at decision points where the traveler needs to make a choice and starting/ending points of the navigation task and (2) a variety of route planning strategies considering efficiency goal (e.g., the shortest path), environmental characteristics (e.g., fewest turns), and aesthetic purpose (e.g., most scenic) were used. It is notable that some participants took into account more than one path by locating one or two signposts on an alternative route while others preferred a linear route connecting signposts between the start point and the destination. Prior to the main experiment, the same participants were asked to complete the same task inside the classroom to investigate changes in strategies between two tasks. Participants often tend to place signposts at more regular intervals for the indoor navigation task than the same task conducted outside.

• Journal of the Korean Institute of Intelligent Systems
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• v.25 no.4
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• pp.319-326
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• 2015

Recently in the fields o f stochastic optimal control ( SOC) and reinforcemnet l earning (RL), there have been a great deal of research efforts for the problem of finding data-based sub-optimal control policies. The conventional theory for finding optimal controllers via the value-function-based dynamic programming was established for solving the stochastic optimal control problems with solid theoretical background. However, they can be successfully applied only to extremely simple cases. Hence, the data-based modern approach, which tries to find sub-optimal solutions utilizing relevant data such as the state-transition and reward signals instead of rigorous mathematical analyses, is particularly attractive to practical applications. In this paper, we consider a couple of methods combining the modern SOC strategies and approximate inference together with machine-learning-based data treatment methods. Also, we apply the resultant methods to a variety of application domains including financial engineering, and observe their performance.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.29 no.5
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• pp.1039-1048
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• 2019

Symbolic execution, an automatic search method for vulnerability verification, has been technically improved over the last few years. However, it is still not practical to analyze the program using only the symbolic execution itself. One of the biggest reasons is that because of the path explosion problem that occurs during program analysis, there is not enough memory, and you can not find the solution of all paths in the program using symbolic execution. Thus, it is practical for the analyst to construct a path for symbolic execution to a target with vulnerability rather than solving all paths. In this paper, we propose a static analysis - based backward CFG(Control Flow Graph) generation technique that can be used in symbolic execution for program analysis. With the creation of a backward CFG, an analyst can select potential vulnerable points, and the backward path generated from that point can be used for future symbolic execution. We conducted experiments with Linux binaries(x86), and indeed showed that potential vulnerability selection and backward CFG path generation were possible in a variety of binary situations.

• Journal of The Korean Association For Science Education
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• v.38 no.6
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• pp.781-792
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• 2018

In modern society, as technology develops and industry diversifies, students can choose from a variety of career paths. Since science, technology, engineering, and mathematics require a longer education and experience than other fields, it is important to design science education policies based on the competencies required for science, technology, engineering, and mathematics (STEM) occupations. This study explores the definition of science and technology manpower and STEM occupations and identifies core competencies of STEM occupations using standard job information operated and maintained by the US Department of Labor ($O^*NET$). We specially analyzed ratings of the importance of skills (35 ratings), knowledge (33 ratings), and work activities (41 ratings) conducting descriptive analysis and principal component analysis (PCA). As a result, core competencies of STEM occupations consist of STEM problem-solving competency, Management competency, Technical competency, Social service competency, Teaching competency, Design competency, Bio-chemistry competency, and Public service competency, which accounts for 70% of the total variance. This study can be a reference for setting the curriculum and educational goals in secondary and college education by showing the diversity of science and technology occupations and the competencies required for STEM occupations.

• Journal of the Korean Society for Library and Information Science
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• v.57 no.2
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• pp.379-408
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• 2023

This case study reports on the redevelopment of a course, Local Culture Information Theory offered by the Department of Library and Information Science at C University, into a capstone design course using a project-based learning approach. In collaboration with a local community youth organization, the redesigned course provided an opportunity for LIS students to develop and implement a digital literacy program that enabled high school students to use a variety of digital multimedia technologies to complete a project of digital Human Library featuring video, audio, and digital are such as webtoons. Through semi-structured interviews with 5 students and 3 staff from partner organizations, this study reports on course development process, the establishment of local partnerships, project outcome, as well as suggestions for improvements. In addition, a qualitative analysis of the participating students' interview responses using the Framework for 21st Century Learning (P21) found they developed and improved 11 skills across three core areas: life and career skills including self-direction, project management, collaboration with diverse teams, flexibility, responsibility, leadership; learning and innovation skills including communication and collaboration, problem-solving, creativity, and critical thinking; and information, media, and technology skills through media creation. Lessons learned and recommendations from this case study may be useful for other LIS programs and faculty interested in implementing project-based learning or developing capstone design courses.