• The KIPS Transactions:PartD
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• v.15D no.2
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• pp.285-296
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• 2008

The purpose of this paper is to examine the IT governance decision structure of the four strategic modes of IT strategy grid, and compare and analyze the differences in the IT governance decision structure of companies that produce superior results and those that produce inferior results. The survey method was used for this paper, and data from a total of 209 companies that were listed on the KOSDAQ 300 and KOSPI 200 were used for the analysis. The results show that each mode has a different IT governance decision structure from the others, and the IT governance decision structure of companies with high results and those with low results are also different for each mode. The results of this paper are significant in that, for each mode, it presents the decision structure framework for promoting desirable behavior of companies carrying out IT governance.

• Journal of the Economic Geographical Society of Korea
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• v.20 no.4
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• pp.453-485
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• 2017

One of the oldest chestnuts in economic geography is this: Cultural and creative industries strongly gather in large cities and this geographic concentration of economic activities leads to regional development. Of course, depending on the circumstances, such a proposition still holds good. But, under the current paradigm shift to knowledge-based economy, it may be open to question. This study aims to investigate financing and knowledge accumulation in the film industry through an alternative framework for explaining their spatial distributions, "formation mechanism of economic space." From the fact that their production organizations are formed on a project basis, project-based financing structure in the investment stage and knowledge accumulation process in the production stage form both axes of it. Film industry as the most mature industry among the cultural and creative industries does not always concentrate in a certain place (industrial agglomeration) or show metropolis-oriented preference. This allows us to reconsider our long brooding theory.

• Proceedings of the Korean Information Science Society Conference
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• 2012.06b
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• pp.181-183
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• 2012

최근 자연어 및 정형언어 처리, 인공지능 알고리즘 등을 활용한 효율적인 의미 기반 지식모델의 생성과 분석 방법이 제시되고 있다. 이러한 의미 기반 지식모델은 효율적 의사결정트리(Decision Making Tree)와 특정 상황에 대한 체계적인 문제해결(Problem Solving) 경로 분석에 활용된다. 특히 다양한 복잡계 및 사회 연계망 분석에 있어 정적 지표 생성과 회귀 분석, 행위적 모델을 통한 추이분석, 거시예측을 지원하는 모의실험(Simulation) 모형의 기반이 된다. 본 연구에서는 이러한 의미 기반 지식모델을 통합에 있어 텍스트 마이닝을 통해 도출된 토픽(Topic) 모델 간 통합 방법과 정형적 알고리즘을 제시한다. 이를 위해 먼저, 텍스트 마이닝을 통해 도출되는 키워드 맵을 동치적 지식맵으로 변환하고 이를 의미적 지식모델로 통합하는 방법을 설명한다. 또한 키워드 맵으로부터 유의미한 토픽 맵을 투영하는 방법과 의미적 동치 모델을 유도하는 알고리즘을 제안한다. 통합된 의미 기반 지식모델은 토픽 간의 구조적 규칙과 정도 중심성, 근접 중심성, 매개 중심성 등 관계적 의미분석이 가능하며 대규모 비정형 문서의 의미 분석과 활용에 실질적인 기반 연구가 될 수 있다.

• The Journal of the Korea institute of electronic communication sciences
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• v.12 no.5
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• pp.957-964
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• 2017

In this study, It developed a program to carry out the training courses for NCS based medical information management tasks and to can understand the practical working knowledge of learners. This program is an educational program that can generate medical information by analyzing data of medical records after generating and storing data of medical records. Because the contents of the medical records vary and there are quantitative differences in the medical records, the contents of the medical records can be summarized and stored in the discharge analysis program for the standard of educational data. The medical terminology DB, medical terminology related DB, medical care related DB by the NCS ability unit element can be constructed and managed using the program. The following are the contents that can be learned through operation of the program. first, it's can understand Medical information DB management regulations through understanding sturucture of database. Second, it can understand the structure and function of the diagnostic code and medical practice code that are input to the discharge analysis program. The diagnostic codes and medical practice codes entered in the discharge analysis program can be searched and analyzed by each fields. Third, It can be advance medical information management ability by inputting and extracting data and generating medical information. In this study, It developed program that Students can be obtained Knowledge of medical information management and improved management competency by generate and analyze medical record data using discharge analysis program.

• Journal of Information Management
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• v.39 no.4
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• pp.121-154
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• 2008

In this paper, a ontology-based keyword structuring method is proposed to represent the knowledge structure of scholarly documents and to make inferences from the semantic relationships holding among them. The characteristics of thesaurus as a knowledge organization system(KOS) for subject heading is critically reviewed from the information retrieval point of view. The domain concepts are identified and classified by analysis of the information activities occurring in a general research process based on scholarly sensemaking model. The ontological structure of keyword set is defined in terms of the semantic relationship of the canonical concepts which constitute scholarly documents such as journal articles. As a result, each ontologically structured keyword set of a document represents the knowledge structure of the corresponding document as semantic index. By means of the axioms and inference rules defined for information needs, users can efficiently explore the scholarly communication network built on the semantic relationship among documents in an analytic way based on the scholarly sensemaking model in oder to efficiently retrieve the relevant information for problem solving.

• Journal of the Economic Geographical Society of Korea
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• v.15 no.1
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• pp.1-25
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• 2012

This paper is the first paper of two linked papers about the FDI of the economic infrastructure-related public companies. This paper analyzes overseas investments of infrastructure public companies which is characterized by state control and support of socio-economic facilities and services. In theoretical consideration the genealogy and characteristics of FDI are examined, and then global FDI trends since 1970, institutional changes and FDI trends in Korea are analyzed. This analysis shows that the globalization of large state-owned enterprises or public companies from developing and transition economies constitutes an important component of FDI and new emerging source of FDI. Finally the objects and strategies of large 10 infrastructure public companies are analyzed in perspectives of features having both advanced and developing economies type.

• Education of Primary School Mathematics
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• v.22 no.4
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• pp.223-237
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• 2019

There is a close interaction between the linguistic-syntactic representation system and the affective representation system that appear in the mathematical process. On the other hand, since the mathematical conceptual system is fundamentally metaphoric, the analysis of the mathematical concept structure through linguistic representation can help to identify the source of cognitive and affective obstacles that interfere with mathematics learning. In this study, we analyzed the problem-solving protocols of mathematical gifted children from the perspective of cognitive language and meta-affect to identify the relationship between the functional characteristics of the text and metaphor they use and the functional characteristics of meta-affect. As a result, the behavior of the cognitive and affective characteristics of mathematically gifted children differed according to the success of problem solving. In the case of unsuccessful problem-solving, the use of metaphor as an internal representation system was relatively more frequent than in the successful case. In addition, while the cognitive linguistic aspects of metaphors play an important role in problem-solving, meta-affective attributes are closely related to the external representation of metaphors.

• KNOM Review
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• v.22 no.1
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• pp.42-51
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• 2019

Recently, the amount of internet traffic is increasing due to the increase in speed and capacity of the network environment, and protocol data is increasing due to mobile, IoT, application, and malicious behavior. Most of these private protocols are unknown in structure. For efficient network management and security, analysis of the structure of private protocols must be performed. Many protocol reverse engineering methodologies have been proposed for this purpose, but there are disadvantages to applying them. In this paper, we propose a methodology for inferring a detailed protocol structure based on network trace analysis by hierarchically combining CSP (Contiguous Sequential Pattern) and SP (Sequential Pattern) Algorithm. The proposed methodology is designed and implemented in a way that improves the preceeding study, A²PRE, We describe performance index for comparing methodologies and demonstrate the superiority of the proposed methodology through the example of HTTP, DNS protocol.

• Journal of Digital Convergence
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• v.16 no.8
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• pp.89-98
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• 2018

The emergence of the mobile commerce market as a new megatrend, mobile shopping is becoming an important distribution channel in the domestic online shopping market. The purpose of this study is to classify shopping values perceived by mobile social commerce users into a utilitarian value and a hedonic value explained and to empirically examine the effects of social commerce characteristics on the purchase intention and shopping values in mobile social commerce. conclusion, this implies that site providers and sellers need to try to supply cheaper and more economical products than those offline and provide the most effective and optimum information and service so sellers and consumers can exchange messages with each other and create meanings.

• Korean Journal of Construction Engineering and Management
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• v.20 no.2
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• pp.68-78
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• 2019

Recently, housing prices have surged, and the government has implemented various regulations, such as finance and taxes. Because of the policy, the nationwide housing price have stabilized, but polarization has occurred. Some argue that regulation can adversely affect the actual demand. Therefore, not only the correlation between market variables but also ripple effect of policy has to be analyzed in policy planning and analysis from a microscopic point of view. In this study, a simulation model was developed by integrating system dynamics for analyzing market structure and agent-based model for modeling decision process of market participants. This research applied the financial regulation and the tax regulation to the model and evaluated the policy effectiveness. This study reveals which feedback dominates according to the policies, which have same purpose. It is because market participants make different decision for each policy. Furthermore, there were other ripple effects not only in the policy target submarket but also in other submarket.