• Review of KIISC
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• v.13 no.3
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• pp.50-60
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• 2003

정보통신이 국가(사회 활동의 주요한 기반이 됨에 따라, 해킹, 컴퓨터 바이러스 유포, 개인정보 및 프라이버시 침해 등 정보화의 역기능 현상도 급증하고 있다. 정보화의 역기능은 정부 및 공공기관, 기업, 개인 모두가 정보보호의 중요성을 인식하도록 하는 계기가 되었으며, 그 결과 정보보호산업이 활성화되었다. 그러나, 정보보호산업에 대한 갑작스러운 수요 증가는 적절한 전문인력 확보에 차질을 빚어, 현재 정보보호인력시장은 공급부족으로 인한 수급 불일치 현상을 보이고 있다. 인력은 산업발전의 가장 큰 원동력으로 작용한다. 따라서, 향후 지속적인 성장이 전망되고 있는 정보보호산업이 꾸준히 발전할 수 있기 위해서는 무엇보다도 정보보호인력의 확보가 뒷받침되어야 할 것이다. 정보보호 기술의 생명주기가 매우 짧고, 매우 역동적으로 변화하는 데다가 정보보호산업이 타산업과의 동태적인 상관관계 속에서 성장하는 산업이기 때문에 과연 정보보호인력이란 무엇인가라는 간단한 질문에 대한 해답조차도 아직까지 명확하게 제시되지 못하고 있어 정보보호인력 양성을 위한 정책수립 및 시행에 있어 정부, 기업 등 관련 기관 모두의 어려움을 가중시키고 있다. 본 논문에서는 정부 및 민간 부문에서 정보보호인력의 양성 및 공급 관련 의사결정의 토대가 될 정보보호인력의 분류체계(정의, 범위, 분류)에 대한 분석을 하고자 한다.

• Journal of the Korean Society for Library and Information Science
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• v.39 no.3
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• pp.75-91
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• 2005

The popularization of the internet has produced an explosion in amount of the information. The importance of web personalization is being more and more increased. The personalization is realized by learning user's interest. User's interest is changing continuously and rapidly. We use user's profile to represent user's interest. User's profile is updated to reflect the change of user's interest. In this paper we present an adaptive learning algorithm that can be used to reflect user's interest that is changing with time. We propose the User's profile model. With this profile user's interest is learned based on user's feedback. This approach has applied to develop hybrid recommendation system.

• Journal of Digital Convergence
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• v.17 no.2
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• pp.113-125
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• 2019

Mobile social commerce is one of the fastest growing distribution channels in recent years. Therefore, it is important to understand customer's buying behavior in mobile social commerce in order to continuously grow in the competitive mobile social commerce market. To achieve the purpose of this study is to investigate how impulsive buying behaviors are applied in mobile shopping and how factors affect impulse purchasing in online shopping. In order to verify the hypothesis, we surveyed the customers who have experiences of using mobile social commerce and analyzed 280 valid data by Smart PLS 3.0. As a result, it was confirmed that consumers' innovation and purchasing experience influenced impulse purchase in mobile social commerce, and scarcity messages among information attributes affect impulse buying. Through this study, impulsive buying behavior which is a frequently analyzed variable in an online shopping context will be extended to the mobile shopping context. and it will provide practical implications for customer strategy establishment in mobile social commerce market.

• Journal of Digital Convergence
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• v.20 no.4
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• pp.73-82
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• 2022

As digital advertising industry grows, consumers' concerns over personal information protect also rise. Thus, the current study is designed to explore college students' perspectives on digital behavioral advertising and personal information protection through in-depth interviews. According to study results, importance of personal information protection is highly regarded among college students and interviewees suggest individuals, companies, and government organizations work together to protect personal information. College students' behavioral level of personal information protection can be divided into three levels such as 1) no-action taken, 2) passive response, and 3) active response. The study found that college students' attitude toward digital behavioral advertising is positive and also negative at the same time. Lastly, the study suggests that college students have positive attitude toward companies' personal information collection and use for the marketing purpose such as digital behavioral advertising. At the discussion section this study puts emphasis on the need for digital media literacy education and suggests practical implications for personal information collection and its procedures.

• Journal of Gifted/Talented Education
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• v.20 no.2
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• pp.547-570
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• 2010

The purpose of this study was to find the personal and environmental background variables that influence to the gifted students in arts. 59 gifted students and their parents in Korean National Institute for the Gifted in Arts completed the questionnaire. The results were as follows: This study showed that the characteristic of gifted students, the developmental process of talent, and contributing factors to the growth of arts. Personal characteristics of gifted students in arts showed significantly difference in three fields of arts. As the environmental background, parents of gifted have offered them the extensive support financially and emotionally and also had high interest in Arts. The reliance on private education versus public education in arts was high. Expecially, gifted students of music and dancing fields was relying more on private education than artistically gifted students. This study was examined for the empirical study of the gifted in arts. The limitations of the study and the suggestion for further study for the gifted were discussed.

• Journal of KIISE:Computing Practices and Letters
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• v.14 no.7
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• pp.738-742
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• 2008

The user model is an indispensable factor for providing users with personalized. services in the ubiquitous computing environment. In general user models, services which users prefer should be described in advance so that the system can recognize and interpret them automatically. Also, user's preferences as to the change of situation are not reflected in general user models due to their ignoring the situation. In this paper, we propose the self-growing user model which learns user experience and the system which automatically provides personalized community services through extracting user preferring services by situation.

• Proceedings of the Korean Information Science Society Conference
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• 2003.10a
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• pp.172-174
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• 2003

전자우편은 인터넷의 성장과 함께 필수적인 점보교환 수단으로 자리잡고 있다. 그 신속성과 용이성을 이용하여 많은 기업과 업체들이 손쉽게 광고 수단으로 이용하여 이로 인하여 개인과 기업에 큰 피해를 초래하고 있다. 필요한 스팸메일을 선정하여 분류하는데 개인과 조직에 많은 정신적 물리적인 스트레스를 요구한다. 본 논문에서는 통계적 학습 방법인 SVM을 이용하여 지속적으로 변화하는 다양한 스팸메일을 분류하고자 한다. 실험결과는 스팸메일 분류에 안정적인 성능을 보여줄 뿐 아니라 다양한 종류의 스팸메일을 카테고리별로 구분해 내는데 높은 성능을 보여준다.

• Annual Conference of KIPS
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• 2004.05a
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• pp.527-530
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• 2004

무선인터넷의 비약적인 발전에 힘입어, 이동통신 단말기를 위한 이동통신서비스가 급격히 증가하고 있다. 특히 온라인이나 오프라인상에서 물품을 판매하거나, 정보서비스를 제공하는 무선전자상거래 시장이 빠른 속도로 성장하고 있으며, 무선전자상거래가 성공적으로 이루어지기 위한 무선 결제 시스템이 요구되기 시작하였다. 기존의 무선 결제 시스템은 스마트 카드를 이동통신 단말기에 탑재하여 결제하는 방식이었으며, 반드시 스마트 카드를 이동통신 단말기에 탑재해야 하는 번거로움과 제 3 자에 의한 오남용을 막을 수 없는 단점을 지니고 있다. 본 논문에서는 소프트웨어 다운로드 솔루션을 기반으로 한 GVM(General Virtual Machine)상에서 실행될 수 있는 모바일 C 기반의 무선 결제 시스템을 제안하고자 한다. 제안하는 무선 결제 시스템은 모두 3 개의 모듈로 구성되어 있으며, 개인 정보 관리 모듈에서는 공인인증서와 개인의 신용정보를 단말기에 다운로드 받아 저장한다. 사용자 상호 작용 모듈에서는 유저 인터페이스를 통하여 결제금액과 개인 인증 번호를 입력 받으며, 암호화 모듈에서는 공인인증서의 암호화 알고리즘을 적용하여 결제금액과 개인 인증 번호를 암호화한 후 서버로 전송한다.

• Journal of the Economic Geographical Society of Korea
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• v.17 no.3
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• pp.447-464
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• 2014

Creative industries are important due to the capability of enhancing urban competitiveness. This study is focused on unravelling the uneven growth and geographic distributions of creative industries. The main results are as follows. First, the primary city, Seoul, has too much eminence than the citysize rule suggests, and the creative-industry elasticity is very high compared to population and all industry. Second, Seoul is reinforcing the uneven growth with adjacent cities. Third, the local main cities have little power to enhance creative industries and the local small cities grow randomly. Fourth, each city should have more deliberation in accepting creative industries as an urban growth strategy.

• Journal of Industrial Convergence
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• v.20 no.11
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• pp.127-134
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• 2022

With the recent advent of the Fourth Industrial Revolution, the importance of the platform business is increasing. Most global companies with high market value are known as platform companies. This change is changing the business model of companies in various industries. However, existing studies have mainly focused on information-intensive industries and large companies. Therefore, this study attempted to analyze the case of Everybot, which is successfully growing in the service robot industry. Everybot is known as a company that produces robot cleaners. However, according to the result, the company has focused on developing autonomous driving technologies and pursuing platform-based business strategies rather than product-based ones. The results of this study have theoretical and practical implications by showing how domestic small and medium-sized robot companies apply platform-based business strategies to achieve long-term growth with gaining leadership in the personal service robotics market.