• Journal of the Korean Society of Marine Environment & Safety
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• v.30 no.1
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• pp.43-57
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• 2024

As coastal areas have a distinct nature with the interaction of the lands and waters, they attract people to enjoy and experience the natural environments physically and intellectually; this generates cultural ecosystem services. Coastal beaches are one of the most common coastal areas for cultural ecosystem services. The purpose of this study was to 1) estimate the economic values of cultural ecosystem services derived from coastal beaches, and 2) expand the estimated values into other beaches across the country using a benefit transfer method. We divided the values of cultural ecosystem services into five different categories based on an extensive literature review: recreation and tourism, landscape and aesthetic, educational, heritage, and inspirational values. The values of tourism and recreation, landscape and aesthetic, and educational services were estimated using the choice experiments. The attributes of the choice experiments consisted of conservation funds, litter, water quality, seascape, landscape, and biodiversity, and the data were collected through online surveys with visitors of 11 representative beaches in Korea. Heritage and inspiration services were estimated using a market goods method based on their expenditures. These values were transferred to 257 beaches across the country. Study results can be used for policy decisions on various restoration and conservation projects caused by coastal erosion and development and on the need and extent of public investments.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.19 no.4
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• pp.660-668
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• 1994

In this paper, a new approach to estimate nonmlinear distortions (second-harmonic, second-intermodulation, third-harmonic, and third-intermodulation) in digital communication systems is proposed. In contrast to the relatively common sine-wave input approach which requires repetition of the same experiments by changing frequencies of oscillators and filters over the band of frequencies of interest, the proposed approach uses digital random input (transmitted signal in digital communication system) to adaptively estimate parameters of a nonlinear channel in time-domain. Nonlinear distortion of the channel is estimated on line by transforming the estimated parameters into frequency-domain. Comparison between the classical two-tone input approach and the proposed approach is made through computer simulation.

• Annual Conference on Human and Language Technology
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• 2022.10a
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• pp.10-15
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• 2022

온라인상에서 발생하는 혐오 표현은 사회가 직면한 주요 문제 중 하나이다. 이러한 필요성에 입각해, 최근 인공지능을 활용하여 발화에 대한 교화 목적을 가진 대응 발화 쌍을 통해 혐오 표현에 대한 실질적인 완화를 진행하는 연구들이 생겨나고 있다. 그러나 각 혐오 표현에 적합한 대응 발화의 구축은 다수의 전문 인력이 요구되므로 데이터를 구축함에 있어 시간과 비용이 많이 소요되며 대응 발화 생성 또한 어려운 문제로 여겨진다. 해당 문제를 완화하기위해, 본 논문은 사전에 기 구축되어 있는 혐오 표현 데이터를 기반으로 의미 기반 검색을 적용하여 자동으로 데이터를 증강할 수 있는 쉽고 빠른 데이터 증강 방법론을 제안한다. 제안하는 프로세스의 타당성과 증강된 문장의 효과를 검증하기 위해 사전학습 모델을 기반으로 비교 실험을 진행하였다. 실험 결과, 제안하는 프로세스를 적용하였을 시, 그렇지 않은 모델 대비 높은 폭의 성능 향상을 보였다.

• Proceedings of the Korea Information Processing Society Conference
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• 2008.11a
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• pp.52-55
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• 2008

The paper aims at showing the subsumption relations of the Wordnet can be captured automatically from a dynamic encyclopedia such as Wikipedia with a meaningful precision. The idea behind the proposal is that a knowledge base in the form of Wordnet can be dynamically obtained and maintained accordingly to the online dictionaries so that the scalability of knowledge base construction may be achieved to some degree. To show the plausibility of dynamic ISA construction, we have tested how well the ISA relations among the 100 technology terms selected from the Wordnet can be saved from the ISA construction by the wiki definitions of the selected terms. As a result the wiki definition led to the ISA relations of the Wordnet with the precision of 80%.

• Proceedings of the Korea Information Processing Society Conference
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• 2024.05a
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• pp.851-853
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• 2024

본 논문에서는 MediaPipe 라이브러리 및 OpenCV 를 활용한 포즈 추정 및 체형 인식 알고리즘을 통해 사용자의 체형과 선호도에 맞는 의류를 가상으로 입어볼 수 있는 생성형 FashionNet 을 제안한다. 구체적으로는 먼저 웹 카메라를 통해 얻어진 사용자의 외형 이미지로부터, 사용자의 신체 포즈를 추정하고, OpenCV 코드를 통해 사용자의 신체 윤곽을 검출한다. 이후 가상 옷장 데이터베이스로부터 선택된 가상 의류를 사용자의 신체 윤곽에 맞춰 입혀진 가상 피팅 이미지를 생성한다. 특히, 본 논문의 FashionNet 은 사용자와 카메라 간의 거리에 따른 인체 비율을 사전 실험으로 미리 설정해놓음으로써, 카메라와 사용자간의 거리에 관계없이 의류 사이즈가 사용자의 신체 조건에 맞게 자동으로 피팅되는 특징을 갖는다. 또한 가상 옷장 데이터베이스로부터 의류 아이템 선정의 편의를 제공하기 위해, 가상 현실 속에서 스크린상의 메뉴 버튼과 사용자의 포즈 동작간의 상호작용을 통해 FashionNet 의 다양한 기능을 수행할 수 있는 증강현실(AR) 기법을 적용하였다. 가상 옷장 데이터베이스를 사용한 다양한 가상 피팅 체험 실험을 통해 온라인상에서 자기가 원하는 의류를 가상으로 착용해 볼 수 있고 이를 통해 구매를 결정하는 등의 FashionNet 의 유효성과 가능성을 확인하였다.

• Journal of KIISE:Software and Applications
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• v.35 no.6
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• pp.392-403
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• 2008

User reviews are valuable information that can be used for various purposes. In particular, the product reviews on online shopping sites are important information which can directly affect the purchasing decision of the customers. In this paper, we present our design and implementation of a system for summarizing the customer's opinion and the features of each product by analyzing reviews on a commercial shopping site. During the analysis process, several natural language processing(NLP) techniques and the semantic dictionary were used. The semantic dictionary contains vocabularies that are used to express product features and customer's opinions. And it was constructed in semi-automatic way with the help of the tool we implemented. Furthermore, we discuss how to handle the vocabularies that have different meanings according to the context. We analyzed 1796 reviews about 20 products of 2 categories collected from an actual shopping site and implemented a novel ranking system. We obtained 88.94% for precision and 47.92% for recall on extracting opinion expression, which means our system can be applicable for real use.

• Journal of KIISE:Software and Applications
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• v.36 no.8
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• pp.633-641
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• 2009

In this paper, we proposed a new pattern classifier which can be incrementally learned, be added new class in learning time, and handle with analog data. Proposed pattern classifier has hierarchical structure and the classification rate is improved by using different metric for each levels. Proposed model is based on the Gaussian ARTMAP which is an artificial neural network model for the pattern classification. We hierarchically constructed the Gaussian ARTMAP and proposed the Principal Component Emphasis(P.C.E) method to be learned different features in each levels. And we defined new metric based on the P.C.E. P.C.E is a method that discards dimensions whose variation are small, that represents common attributes in the class. And remains dimensions whose variation are large. In the learning process, if input pattern is misclassified, P.C.E are performed and the modified pattern is learned in sub network. Experimental results indicate that Hierarchical Gaussian ARTMAP yield better classification result than the other pattern recognition algorithms on variable data set including real applicable problem.

• Journal of KIISE:Computing Practices and Letters
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• v.6 no.5
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• pp.496-504
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• 2000

The Web gateway is key technology for inter-operating WWW and databases. The previous KRISTAL-II information retrieval system, developed by KORDIC(Korea Research & Development Information Center), used a simple CGI structure web gateway. While the simple CGI structure web gateway is easy to implement, it is not suitable for processing a large number of on-line retrival requests. When considering the growth of the Internet and WWW, it is very important to develop a web gateway efficiently supporting a large number of concurrent users. In this paper, we propose a 3-tier client-server structure web gateway for the KRISTAL-II information system. We also evaluate the performance of the proposed web gateway through experiments.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.9 no.2
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• pp.65-71
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• 2009

The end of the 1990s due to the rapid development of Internet communications and two-way communication advertising, public relations, online music, video, movies, e-Book, and distribution of digital content is actively underway. The combination of Internet and TV, as well as born of IPTV and interactive digital content industry's future has become a key industry. However, these two-way communication that illegal adult sites, illegal Bulletin, illegal Ads, PR, shopping mall, illegal music copying, video replication, such as negative due to the emergence of IPTV and is always around us and should be recognized. For example, on the Internet, which has been operating in the ocean sounds from the music copyright issue, the prosecution decided to prosecute because of the digital cultural content, copyright issues has become an important issue. Status and issues of this paper to learn the digital content, using intelligence to solve these problems, two-way communication advertising, public relations and practice of digital content, practices and courses of students vulnerable to offers for the analysis simulation.

• Journal of Digital Convergence
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• v.11 no.2
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• pp.235-242
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• 2013

Reputation systems aggregate users' feedback after the completion of a transaction and compute the "reputation" of products, services, or providers, which can assist other users in decision-making in the future. With the rapid growth of online e-Learning content providing services, a suitable reputation system for more credible e-Learning content delivery has become important and is essential if educational content providers are to remain competitive. Most existing reputation systems focus on generating ratings only for user reputation; they fail to consider the reputations of products or services(item reputation). However, it is essential for B2C e-Learning services to have a reliable reputation rating mechanism for items since they offer guidance for decision-making by presenting the ranks or ratings of e-Learning content items. To overcome this problem, we propose a novel collaborative filtering based reputation rating method. Collaborative filtering, one of the most successful recommendation methods, can be used to improve a reputation system. In this method, dual information sources are formed with groups of co-oriented users and expert users and to adapt it to the reputation rating mechanism. We have evaluated its performance experimentally by comparing various reputation systems.