• Journal of Intelligence and Information Systems
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• v.7 no.2
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• pp.95-115
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• 2001

We propose classifying the venture firms into four types of knowledge management. For this purpose, we collected questionnaire data from 101 venture firms listed in KOSDAQ, and applied a unsupervised neural network algorithm SOM to obtain four clusters representing knowledge management types-High Tech Type, Organizational Knowledge Type, Information Technology Type, and Beginner Type. Based on the results, we conclude that the venture firms listed in KOSDAQ should first know its own knowledge management type, and then apply appropriate strategies to take advantage of the knowledge management impacts on the competitiveness.

• Journal of The Korean Association of Information Education
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• v.7 no.2
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• pp.163-173
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• 2003

In this study, the six types of menu were suggested according to analysis of elementary school website about informational structure, depth and width of the menu, method of arrangement, suggesting form of the menu, ease the menu usage. And we design and develop the menu, and test, adapting the six types of menu on the same control condition, for the purpose of test about affective response and effectiveness, efficiency in user's utilizing these menus. As a result, the menu type of upper part drop-down type and left part suggesting after upper part suggesting type were testified as a menu type of high approach and recognition in the elementary schools web site.

• The Journal of the Convergence on Culture Technology
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• v.10 no.1
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• pp.591-601
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• 2024

As generative AI-based educational content and services targeting child users rapidly increase, the need for research related to children's perception of generative AI is increasing. Accordingly, this study sought to determine the type of generative AI recognized by children and whether cognitive, behavioral, and emotional properties were assigned to it. To understand this, we collected responses through workshop activities to create storybooks with children, semi-structured interviews, and drawing. As a result, children viewed generative AI as an artifact with a high cognitive level, but it was not a type of existing artifact.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.25 no.5
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• pp.1245-1255
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• 2015

As cloud computing services become popular, the concern on the data security of cloud services increases and the efforts for the data security become essential. In this paper, we describe the pros and cons of cloud computing including the definition of cloud. Then, we discuss the regulations about the protection of user data defined in cloud promotion act. Previous studies related to the privacy protection and the entrustment of personal information in cloud computing are reviewed. We examine how to store the personal information depending on the cloud service model. As a result, we argue that the entrustment of personal information should vary according to the cloud service model and we propose how to protect the personal information on IaaS and SaaS cloud service models.

• The Journal of the Korea Contents Association
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• v.9 no.12
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• pp.630-636
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• 2009

This study was conducted to investigate the information cues in fashion magazine advertisement in 2008. A total of 368 ads executed in fashion magazine in 2008 were analyzed by number of cues, type of information, magazine type and ad size. The results show that information cues in magazine ads were remarkably decreased compare to the previous studies. Only 36.1% of the advertisements include more than 1 information cues. The results of the study also demonstrate that the advertisements in Woman Sense has the most much information cues. Interestingly, the smaller ad size includes the more information cues in all of ads.

• Proceedings of the Korea Technology Innovation Society Conference
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• 1998.05a
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• pp.18-18
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• 1998

본 연구는 미 특허청(USPTO) 자료를 이용하여 기술활동이 가장 활발한 OECD국가를 중심으로 세부기술 부문별 기술활동의 유형을 분석하고자 하는 데에 목적을 두고 있다. 특히 OECD 국가들이 정보통신(IT) 기술에 있어 특정 기술분야로의 수렴화 경향을 보이는가 혹은 다양한 기술적인 분화현상을 보이는 가를 분석하는 것이 본 연구의 주요 관심사이다. 기존 연구들이 정보통신기술을 협의로 정의, 분석의 대상으로 삼아 왔으나, 본 고에서는 정보통신 분야를 보다 확대된 개념으로서 정의하고, 미국 특허청 자료(1985-1996)를 이용하여 정보통신 분야의 기술개발 활동의 특화현상을 분석하였다. 연구결과로서 정보통신(IT) 기술 분야에서는 기술적 수렴현상이 점차적으로 나타나고 있음을 확인할 수 있었다. 국가별 결과에 있어서는 서로 다른 유형이 관측되었는데 정보통신 산업에 있어서 유럽의 주요 국가들은 특허통계량이 감소하는 추세를 나타냈으며 기술추격(catch-up) 과정은 나타나지 않았음을 보여 주었다. 이와 반대로, 일본은 유럽의 주요 국가에 비하여 매우 특징적인 기술개발 유형을 나타내었다. 예를 들어, RTA지수는 일본이 정보처리기술, 컴퓨터시스템 및 단말기술, 집적회로 분야에 특화되어 있음을 나타냈다. 또한 캐나다와 한국도 특징적인 기술개발 경향을 나타내었는 바, 캐나다는 방송시스템 및 전송기술에서 기술적 강점을 지닌 것으로 분석되었으며 한국의 기술추격 분야는 방송시스템, 정보처리 및 반도체기술 분야인 것으로 나타났다.

• The Korean Journal of Financial Studies
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• v.11 no.1
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• pp.199-216
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• 2005

본 연구에서는 한국을 포함한 4개국의 주식시장을 대상으로 주식시장에 도달하는 정보의 유형 즉, 정보가 나쁜 뉴스(bad news)이냐 또는 좋은 뉴스(good news)이냐에 따라 주가변동성에 미치는 영향을 실증적으로 분석하였다. 주가변동성은 투자위험을 나타내는 것으로 위험프리미엄(risk premium)과 관련이 있으며, 주가변동성이 높을수록 위험프리미엄이 커져서 기대수익률이 높아지게 된다. 따라서 주가변동성에 관한 연구는 자산가격결정 등 투자자산 관리에 있어서 매우 중요한 시사점을 제공할 수 있을 것이다. 실증분석결과에 의하면 전체기간(1991년~2004년)에서 4개국 모두 예상하지 못한 음(-)의 수익률이 예상하지 못한 양(+)의 수익률보다 주가의 변동성을 더욱 증가시킨 것으로 나타났다. 그리고 그 반응 정도의 크기는 한국이 가장 낮게 나타나고 있다. 즉 주식수익률의 정보의 비대칭성은 4개국 모두 볼 수 있으며, 이중 한국에서 정보의 비대칭성이 가장 약하다는 결과로 해석할 수 있다. 본 연구의 이러한 분석결과는 4개국 모두 주식시장에서 정보유형에 따른 주가변동성의 비대칭적 반응이 존재한다는 것을 실증적으로 보여주는 것이다. 또한 두 개의 하위기간(IMF 전후기간)에서도 주가변동성의 비대칭적 반응이 존재하는 것으로 나타났으며, 특이한 점은 주가변동성의 비대칭적 반응을 나타내는 계수값이 한국, 일본, 홍콩 등 아시아 국가들은 IMF 이후기간에서 감소하는(특히 한국의 경우 대폭 감소함) 반면, 미국의 경우에는 대폭 증가하였다. 이는 아시아권의 경우 금융위기를 겪으면서 투자자들이 나쁜 뉴스에 대해 다소 둔감하게 된 결과인 것으로 해석할 수 있다.

• Journal of Korea Entertainment Industry Association
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• v.15 no.8
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• pp.411-421
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• 2021

The purpose of the study was to identify the untact medical services campaign awareness in COVID-19 era using Q methodology. We used subjective analysis for this purpose and examined 1) what are the types of untact medical services campaign awareness? and 2) what are the homogeneous characteristics and implications between each type? We composed a Q concourse through interviews with university students to write Q statements, selected a P sample, and used Q-sort obtained from the sorting process to analyze it through Q-factor analysis in the PC QUANL program. Q methodology was used to examine the subjective tendency of untact medical services campaign awareness in COVID-19 era. As a result of the analysis, four types were identified. 1) Type 1 (N=7): Belief & official announcement type, 2) Type 2 (N=4): Governmental notice type, 3) Type 3 (N=3): Medical information public notice type, 4) Type 4 (N=2): Sympathetic information type. An insightful analysis was derived in that the analysis could identify factors in the schema of respondents related to untact medical services in COVID-19 era.

• Journal of Intelligence and Information Systems
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• v.29 no.3
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• pp.229-247
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• 2023

With the increasing emphasis on anomaly detection across various fields, diverse anomaly detection algorithms have been developed for various data types and anomaly patterns. However, the performance of anomaly detection algorithms is generally evaluated on publicly available datasets, and the specific performance of each algorithm on anomalies of particular types remains unexplored. Consequently, selecting an appropriate anomaly detection algorithm for specific analytical contexts poses challenges. Therefore, in this paper, we aim to investigate the types of anomalies and various attributes of data. Subsequently, we intend to propose approaches that can assist in the selection of appropriate anomaly detection algorithms based on this understanding. Specifically, this study compares the performance of anomaly detection algorithms for four types of anomalies: local, global, contextual, and clustered anomalies. Through further analysis, the impact of label availability, data quantity, and dimensionality on algorithm performance is examined. Experimental results demonstrate that the most effective algorithm varies depending on the type of anomaly, and certain algorithms exhibit stable performance even in the absence of anomaly-specific information. Furthermore, in some types of anomalies, the performance of unsupervised anomaly detection algorithms was observed to be lower than that of supervised and semi-supervised learning algorithms. Lastly, we found that the performance of most algorithms is more strongly influenced by the type of anomalies when the data quantity is relatively scarce or abundant. Additionally, in cases of higher dimensionality, it was noted that excellent performance was exhibited in detecting local and global anomalies, while lower performance was observed for clustered anomaly types.

• Journal of the Korean Society for Library and Information Science
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• v.46 no.3
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• pp.5-34
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• 2012

The purpose of this study was to investigate the characteristics of preference books according to the children's personality types. For this study, the analytical criteria of preference books was made through literature review and investigated the contents of the borrowed books of 6th grade students collected from 3 elementary school libraries. This study found that the characteristics of preference books differ according to the children's personality types. Based on the results of this study, new reading education programs according to various personality types are expected to be developed.