• Proceedings of the Korea Information Processing Society Conference
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• 2008.05a
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• pp.107-110
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• 2008

상품평은 인터넷 쇼핑 이용자들의 최종 구매결정에 큰 영향을 미치는 것으로 알려져 있다. 많은 쇼핑몰에서 상품평 활성화를 위해 노력하고 있지만, 상품평을 모으는 것에만 주력할 뿐 기존에 수집된 상품평을 제공하는 방법에 있어서는 원시적인 수준에 그치고 있다. 상품평을 좀 더 효율적으로 제공하려면 사용자들이 상품평에서 찾게 될 평가항목들을 미리 예측하여 그 항목에 따라 상품평을 분류/요약해서 제공하는 방법을 생각할 수 있다. 본 논문에서는 상품평과 웹 검색엔진을 이용하여 각 상품별 평가항목들을 자동으로 추출하는 방법을 제안한다. 상품평 데이터의 특성상 노이즈가 많기 때문에 먼저 데이터를 정제하고, 정제된 상품평 데이터를 형태소 분석하여 후보명사들을 선택한다. 선택된 후보명사를 웹 검색엔진에 질의하여 반환된 결과 값으로 상품 카테고리와 후보명사 간 연관도를 계산하여 평가항목을 추출한다. 실험은 5개 상품 카테고리의 170,294개 실제 상품평을 대상으로 각 카테고리별 평가항목을 추출하였다.

• The Journal of Society for e-Business Studies
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• v.17 no.1
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• pp.151-171
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• 2012

In applying RFID/USN technology to various industries, it is needed to solve the problem caused by the system differences. Accordingly, this study introduces the common standard platform concept, and suggests the standard data scheme which provides the uniform perspective of classifying supply chain data and of using vocabularies. We selected several industry areas applicable for the platform, which are pharmaceutical, cosmetics, food and liquor industry. We collect and organize terminologies used in the supply chain of each industry, and then classify them according to the defined data attributes. The standardized vocabularies are suggested based on the contextured scheme of data classification. This study could provide more convenient way of communication between business partners, system developers and users of the platform.

• Journal of Korean Society of Forest Science
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• v.104 no.2
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• pp.277-284
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• 2015

This study aims to evaluate the impact of forest therapy on neuro-cognitive, psychosocial, and physiological aspect of adolescent internet addiction risk group. We have classified potential and high risk user group as internet addiction risk group according to the criteria of Korean Internet Addiction Proneness Scale(K Scale). Based on the results of k-scale from the adolescents in metropolitan area from May to July 2013, 25 people were selected as Internet addiction risk group. We have randomized 13 participants joining forest therapy camp and 12 participants not joining one, and analyzed the change of the two groups with Continuous Performance, Kimberly S. Young, Connor-Davidson Resilience, Relationship Change Scale, heart rate variability and cortisol. Statistically significant changes were observedd in neuro-cognitive, psychosocial, and physiological variables, Through this study, we can consider that the therapy healing may relieve the level of internet addiction and can be an alternative to control emotional stability and impulsive behavior.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2015.10a
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• pp.924-926
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• 2015

In this paper, we use the interface, which many countries concentrates research of Brain - Computer Interface with the device and MyndPlay based on the IoT intelligent Arduino. Finally we will make the Brain - Computer Connection environment, the purpose of Brain - Computer Interface. Recognizes the EEG of a person who wearing the equipment, analyze, classify, and we did a research to design an intelligent thing to suit user's condition. In addition, we use the XBee, and Bluetooth to communicate to other devices, such as smart phone. In conclusion, this paper check users current status via brain waves, and it allows to control the power and other objects by using the EEG(Electroencephalography).

• The Journal of Society for e-Business Studies
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• v.8 no.4
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• pp.129-149
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• 2003

Explosive growth of mobile devices over the past years has greatly increased commercial interests in mobile commerce, but mobile commerce has not yet seen enough increase on demand side as anticipated. Despite the slow start, mobile commerce has a lot of potential from users' perspective. In order to make this potential a reality, businesses must focus on the values from their customers' perspective, not technical competencies. This research employed Keeney's(1992) value focused thinking approach and explore values of mobile commerce from actual users' viewpoint. In depth interviews were conducted with seventy Practical users of mobile commerce. Through an extensive focus group sessions, 748 statements obtained from actual users were classified into 18 categories of means objectives and 12 categories of fundamental objectives of mobile commerce. The means-ends network diagram of values seen in mobile commerce by actual users were presented and compared to typical electronic commerce diagram. Results suggest the mobile commerce needs to be handled differently from the traditional electronic commerce.

• Annual Conference on Human and Language Technology
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• 1994.11a
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• pp.409-415
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• 1994

Hitel 과 같은 전자정보 시스템은 사용자가 원하는 정보를 체계적으로 얻을 수 있도록 하기 위하여 메뉴들을 적당히 계층적으로 구성하여 제공하고 있다. 그러나, 보통 이 메뉴들의 계층이 정확한 분류법에 기초하여 만들어지지 않았을 뿐 아니라 그 양도 엄청나게 방대하여, 이 메뉴 계층을 이용하여 사용자가 원하는 정보를 얻기가 쉽지 않다. 실험적으로 보통 Hitel을 자주 이용하는 사람들도 자신이 주로 이용하는 메뉴들의 구성만 이해하고 있을뿐, 사용하지 않는 부분의 메뉴들의 구성은 잘 알지 못하는 것이 일반적이었다. 따라서 Hitel을 자주 이용하는 사용자도 자신이 이용해 보지 않은 정보를 얻기 쉽지 않으며, 더더욱 초보자에게는 이 메뉴계층을 이용하여 원하는 정보를 얻기가 쉽지 않은 실정이다. 본 연구에서는 정보검색 기술을 이용하여 Hitel과 같은 전자정보 시스템에서 사용자가 쉽게 자신이 원하는 정보를 얻을 수 있는 보조 시스템을 개발하고자 한다. 본 시스템은 사용자가 메뉴계층을 이용하기 전에 간략한 자연어로 입력을 주면, 여기에 적합한 메뉴나 실제 정보를 검색해 낸다. 따라서 사용자는 이 메뉴정보를 이용하여 메뉴계층을 쉽게 따라갈 수 있을 뿐 아니라, 경우에 따라서는 원하는 실제 정보를 검색하기 때문에 메뉴계층을 탐색할 필요가 없다. 본 연구에서는 자연어 입력을 최장 일치 방법으로 의미있는 명사들을 추출하여 불리한 질의어로 만든 후, 명사들 사이의 관계가 표현된 시소러스를 이용하여 이 질의어를 확장시킨다. 다음에 이 질의어들을 메뉴들과 부분/정확부합을 통하여 관련된 메뉴들을 찾아낸 후, 이들의 계층과제를 고려하여 최종 메뉴들을 검색한다. 본 시스템은 현재 C언어로 만들어져 구동중이며, 정확한 실험은 아직 하지 않았지만 높은 검색율을 보이고 있다. industrialized, was improved by introducing pressure in cooling procedure for both carbon and iron thermistors.er>$CHCl_3$>Hexane층 순으로 높은 활성을 나타냈다. 5. 아질산염소거능은 끝순, 들깨잎, 콩나물이 우수하였고 그중 들깨잎이 저해율 72%로 가장 높았으며, 용매분획 중에는 BuOH과 water추출물의 활성이 가장 높았다. 6. ACE 저해 효과는 고구마 부위별로는 끝순이 괴근에 비하여 1.5배 높았고, 들깨잎, 콩나물, 시금치보다 $1.9{\sim}3.7$배 높았다. 용매분획별로는 EtOAc, BuOH, water 추출물이 높은 활성을 보였다. 7. 이상을 종합하여 볼 때 고구마 끝순에는 페놀화합물이 다량 함유되어 있어 높은 항산화 활성을 가지며, 아질산염소거능 및 ACE저해활성과 같은 생리적 효과도 높아 기능성 채소로 이용하기에 충분한 가치가 있다고 판단된다.등의 관련 질환의 예방, 치료용 의약품 개발과 기능성 식품에 효과적으로 이용될 수 있음을 시사한다.tall fescue 23%, Kentucky bluegrass 6%, perennial ryegrass 8%) 및 white clover 23%를 유지하였다. 이상의 결과를 종합할 때, 초종과 파종비율에 따른 혼파초지의 건물수량과 사료가치의 차이를 확인할 수 있었으며, 레드 클로버 + 혼파 초지가 건물수량과 사료가치를 높이는데 효과적이었다.\ell}$ 이었으며 , yeast extract 첨가(添加)하여 배양시(培養時)는 yeast extract 농도(濃度)가 증가(增加)함에 따라 단백질(蛋白質) 함량(含量)도 증가(增加)하였다. 7. CHS-

• The Journal of Korean Institute of Communications and Information Sciences
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• v.32 no.10C
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• pp.990-999
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• 2007

In this paper, we propose the region-based image retrieval method using JSEG which is a method for unsupervised segmentation of color-texture regions. JSEG is an algorithm that discretizes an image by color classification, makes the J-image by applying a region to window mask, and then segments the image by using a region growing and merging. The segmented image from JSEG is given to a user as the query image, and a user can select a few segmented regions as the query region. After finding the MBR of regions selected by user query and generating the multiple window masks based on the center point of MBR, we extract the feature vectors from selected regions. We use the accumulated histogram as the global descriptor for performance comparison of extracted feature vectors in each method. Our approach fast and accurately supplies the relevant images for the given query, as the feature vectors extracted from specific regions and global regions are simultaneously applied to image retrieval. Experimental evidence suggests that our algorithm outperforms the recent image-based methods for image indexing and retrieval.

• Journal of the Korea Computer Graphics Society
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• v.24 no.4
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• pp.1-9
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• 2018

We propose an emotional training framework that can determine the initial symptom of schizophrenia by using emotional analysis method through facial expression change. We use Emotion API in Microsoft to obtain facial expressions and emotion values at the present time. We analyzed these values and recognized subtle facial expressions that change with time. The emotion states were classified according to the peak analysis-based variance method in order to measure the emotions appearing in facial expressions according to time. The proposed method analyzes the lack of emotional recognition and expressive ability by using characteristics that are different from the emotional state changes classified according to the six basic emotions proposed by Ekman. As a result, the analyzed values are integrated into the image color transfer framework so that users can easily recognize and train their own emotional changes.

• Journal of Korea Multimedia Society
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• v.6 no.2
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• pp.360-373
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• 2003

The Meta Search system proposed in this paper is operated based on relevance distribution Infer mation(RDI). It first evaluates the sources applicable to the search, and then selects the most appropriate source. According to the evaluation of the sources, it discreetly collects the documents from the concerned sources and classifies them into a useful order based on the RDI, which is an evaluation score of the sources. The documents are classified into order and presented to the user as a single search result. For this Purpose, this study presents evaluation factor models to present the RDI between the query, and source, and proposes a method for drawing out the RDI based on the evaluation factors. The system for selecting the most appropriate sources according to the query has been developed based on an algorithm that selects the best source. Finally, after searching the documents suitable for query from extracted sources, we present a Meta Search system, HoleInOne, that ranks and merges them.

• Economic and Environmental Geology
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• v.41 no.6
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• pp.747-761
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• 2008

In order to experiment the acoustic remote classification of seabed sediment, we achieved ground-truth data(i.e. video and grab samples, etc.) and developed post-processing for automatic classification procedure on the basis of 300 kHz MultiBeam Echo Sounder(MBES) backscattering data, which was acquired using KONGBERG Simrad EM3000 at Sock-Cho Port, East Sea of South Korea. Sonar signal and its classification performance were identified with geo-referenced video imagery with the aid of GIS (Geographic Information System). The depth range of research site was from 5 m to 22.7 m, and the backscattering amplitude showed from -36dB to -15dB. The mean grain sizes of sediment from equi-distanced sampling site(50 m interval) varied from 2.86$(\phi)$ to 0.88(\phi). To acquire the main feature for the seabed classification from backscattering amplitude of MBES, we evaluated the correlation factors between the backscattering amplitude and properties of sediment samples. The performance of seabed remote classification proposed was evaluated with comparing the correlation of human expert segmentation to automatic algorithm results. The cross-model perception error ratio on automatic classification algorithm shows 8.95% at rocky bottoms, and 2.06% at the area representing low mean grain size.