• Journal of the Korean Society for Library and Information Science
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• v.41 no.2
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• pp.111-133
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• 2007

Illegal and harmful information on the Internet have been a great concern not only for regulatory authorities, but also all the public institutes, such as public libraries and schools, that provide Internet access service. In particular, for public libraries which play an important role in organizing, opening and providing information resources in the information society, providing Internet access service are indispensible. Therefore, any changes of Internet content regulatory system may have direct effects on services of public libraries. Due to unique characteristics of the Internet, content refutation on the Internet has made a best use of various regulatory methods, ranging from governmental regulation to self-refutation and technical regulatory methods. However, nation by nation. technical regulatory methods on the Internet have been developed in quite different ways. Applying them on public library has been strongly criticised for violating freedom of expression and rights of access to information. This article begins with a theoretical discussion about free speech rights and refutation on Internet. Then it examines filtering software which is one of the most popular technical regulatory methods based on both technical and socio-humanities' prospects and analyses several governments' regulatory approaches to Internet filtering. As a conclusion, issues concerning Internet filtering at public institutes are critically apprised.

• Journal of Korea Society of Digital Industry and Information Management
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• v.11 no.2
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• pp.181-192
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• 2015

A new communication revolution such as social networking service (SNS) has been transforming the way of interaction between people in both of individual level and organizational level. Recently many people have switched to closed type SNS such as Naver Band and Kakao group due to the several reasons. The purpose of this study is to investigate the usage motivation and satisfaction of SNS based on use and gratifications perspectives. Based on prior studies on use and gratifications of Internet-related media and SNS, information motivation, relationship motivation, pleasure/entertainment motivation, self-expression motivation, work motivation were identified as usage motivation of SNS. This empirical study explores how these motivations vary between open type SNS(facebook and twitter) and closed type SNS(band and kakao group). This study contributes to provide the base of activation strategies and practical implications for companies using SNS as a marketing tool.

• Management & Information Systems Review
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• v.16
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• pp.95-115
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• 2005

Although advertising plays an important role of information source for consumer, also advertising affect negative influence to the consumer and social system. Under the such a concept, this study reviewed the social responsibility of advertising and the freedom of expression including the foreign country's advertising regulation system as the theoretical background of advertising regulation. In addition, this study analyzed the case of the advertisement reviews by Korea Advertising Review Board(august 1, 2000, the business concerning prior deliberation of broadcast advertisements was entrusted to the Korea Advertising Review Board, a civilian self-regulatory body, by the Korean Broadcasting Commission) and Fare Trade Commission. As the result of data analysis, some problems of regulation system and codes are suggested and discussed as follows: (1) the high ratio of rejection (2) using the unnecessary foreign language (3) inconsistency application of deliberation standard.

• Journal of Information Processing Systems
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• v.13 no.3
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• pp.630-642
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• 2017

In this paper, we propose the opportunistic non-orthogonal multiple access (NOMA)-based cooperative relaying system (CRS) with channel state information (CSI) available at the source, where CSI for the source-to-destination and source-to-relay links is used for opportunistic transmission. Using the CSI, for opportunistic transmission, the source instantaneously chooses between the direct transmission and the cooperative NOMA transmission. We provide an asymptotic expression for the average achievable rate of the opportunistic NOMA-based CRS under Rayleigh fading channels. We verify the asymptotic analysis through Monte Carlo simulations, and compare the average achievable rates of the opportunistic NOMA-based CRS and the conventional one for various channel powers and power allocation coefficients used for NOMA.

• Proceedings of the Korean Society for Language and Information Conference
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• 2002.02a
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• pp.227-236
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• 2002

Japanese coordinate noun phrases by the particle TO are often ambiguous on whether it means two parallel propositions (and), or a mutual case relation (with or against), as deep case structure. It was a hard problem to determine it, though they are widely used. We propose a method of solving the ambiguity by analyzing mutualness of verbs and adjectives. The mutualness is determined by three features of each verb or adjective. The first feature Indicates permission of mutual expression in the subject, and the second In the object. The last shows if a verb is voluntary. Using this method we design a parsing mechanism, where matching of features is represented as neutralization between predicate arguments.

• Proceedings of the Korean Society for Language and Information Conference
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• 2002.02a
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• pp.249-258
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• 2002

We propose an algorithm for the automatic acquisition of a bilingual lexicon in the legal domain. We make use of a parallel corpus of bilingual court judgments, aligned to the sentence level, and analyse the bilingual context profiles to extract corresponding legal terms in both languages. Our method is different from those in past studies as it does not require any prior knowledge source, and naturally extends to multi-word terms in either language. A pilot test was done with a sample of ten legal terms, each with ten or more occurrences in the data. Encouraging results of about 75% average accuracy were obtained. This figure does not only reflect the effectiveness of the method for bilingual lexicon acquisition, but also its potential for bilingual alignment at the word or expression level.

• Molecular & Cellular Toxicology
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• v.1 no.1
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• pp.13-16
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• 2005

The current vision of toxicogenomics is the development of methods or platforms to predict toxicity of un characterized chemicals by using '-omics' information in pre-clinical stage. Because each chemical has different ADME (absorption, distribution, mechanism, excretion) and experimental animals have lots of variation, precise prediction of chemical's toxicity based on '-omics' information and toxicity data of known chemicals is very difficult problem. So, the importance of bioinformatics is more emphasized on toxicogenomics than other functional genomics studies because these problems can not be solved only with experiments. Thus, toxicoinformatics covers all information-based analytical methods from gene expression (bioinformatics) to chemical structures (cheminformatics) and it also deals with the integration of wide range of experimental data for further extensive analyses. In this review, the overall strategy to toxicoinformatics is discussed.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.59 no.12
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• pp.2314-2318
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• 2010

For human-robot interaction, a robot should recognize the meaning of human behavior. In the case of static behavior such as face expression and sign language, the information contained in a single image is sufficient to deliver the meaning to the robot. In the case of dynamic behavior such as gestures, however, the information of sequential images is required. This paper proposes behavior classification by using fuzzy classifier to deliver the meaning of dynamic behavior to the robot. The proposed method extracts feature points from input images by a skeleton model, generates a vector space from a differential image of the extracted feature points, and uses this information as the learning data for fuzzy classifier. Finally, we show the effectiveness and the feasibility of the proposed method through experiments.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.9 no.6
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• pp.546-552
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• 2016

We present a quantitative evaluation of an algorithm for model-based face recognition. The algorithm actively learns how individual faces vary through video sequences, providing on-line suppression of confounding factors such as expression, lighting and pose. By actively decoupling sources of image variation, the algorithm provides a framework in which identity evidence can be integrated over a sequence. We demonstrate that face recognition can be considerably improved by the analysis of video sequences. The method presented is widely applicable in many multi-class interpretation problems.

• Proceedings of the KAIS Fall Conference
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• 2012.05b
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• pp.708-711
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• 2012

기존 패턴 및 데이터베이스 검색, 페이지 단위 문자열 검색기법은 단순 검색으로 오탐율이 많아 검색 결과에 대한 신뢰성이 떨어지고, 동일 조건을 다른 검색기법에 추가로 시행함으로 인해 자원 낭비 및 시간 낭비를 초래하고 있다. 따라서 본 논문에서는 정규식 구문 기법과 상관 분석 기법을 연동시킨 통합형 정보 검색을 설계하여 경제적인 효과와 신뢰성을 확보하는 보안형 정보 검색 시스템의 기반기술을 제안하고자 한다.