• Journal of Information Management
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• v.35 no.2
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• pp.107-130
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• 2004

MPEG-21 is an open standard framework for creation, delivery and consumption of digital content in interoperable and rights-managed and protected way. Focusing on DRM technologies, this paper covers with concept and ongoing activities of MPEG-21's parts - Digital Item Declaration which is the base unit of trade and delivery, Digital Item Identification, Intellectual Property Management & Protection, Rights Data Dictionary, Rights Expression Language, Persistent Association Technology, Event Reporting, and so on.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.12 no.8
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• pp.4090-4102
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• 2018

After emerging online communications, text mining and sentiment analysis has been frequently applied into analyzing electronic word-of-mouth. This study aims to develop a domain-specific lexicon of sentiment analysis to predict box office success in Korea film market and validate the feasibility of the lexicon. Natural language processing, a machine learning algorithm, and a lexicon-based sentiment classification method are employed. To create a movie domain sentiment lexicon, 233,631 reviews of 147 movies with popularity ratings is collected by a XML crawling package in R program. We accomplished 81.69% accuracy in sentiment classification by the Korean sentiment dictionary including 706 negative words and 617 positive words. The result showed a stronger positive relationship with box office success and consumers' sentiment as well as a significant positive effect in the linear regression for the predicting model. In addition, it reveals emotion in the user-generated content can be a more accurate clue to predict business success.

• Proceedings of the Computational Structural Engineering Institute Conference
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• 2011.04a
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• pp.239-242
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• 2011

본 연구에서는 모듈러 강교량의 상부구조 구성요소에 대한 정보의 교환, 검색, 공유가 가능한 데이터사전을 구축하였다. 표준모듈의 계층정의를 위해 기존 교량분류체계를 기반으로, PLIB Part 42에서 제시하는 패밀리 조직 방법론을 적용하였다. 분류된 구성요소와 모듈에 대한 정보의 쉬운 검색 및 접근을 위하여 이름, 동의어, 정의 등과 같은 속성을 정의하였다. 또한 모듈의 형상표현이 가능하도록 속성을 정의하여, 파트라이브러리 시스템의 구성요소인 라이브러리 컨텐츠에 저장된 모듈라이브러리의 사용성을 용이하게 하였다.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2011.05a
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• pp.185-186
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• 2011

The latest domestic construction sector is receiving economic damage because of defect litigation. The Concrete Crack among them has the largest component in expense of apartment house defect. Also, contradictory suggestion of appraiser is problem. To improve these problem, need objective plan that people concerned can recognize about decision sequence. Therefore, in this study, compared general defect investigation and defect decision of appraiser taking advantage of Data Dictionary analysis method. Also, deduced current problem and amelioration plan.

• Proceedings of the Korea Information Processing Society Conference
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• 2019.10a
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• pp.914-917
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• 2019

SNS 의 발전으로 기업이나 공공단체는 소셜 데이터가 가지고 있는 감성이나 의견, 여론 등을 분석해서 신흥 가치를 창출하려 한다. 소셜 데이터를 기반으로 하는 감성 분석은 사람들의 소비 측면 및 제품 평가 파악은 물론 기업 매출 및 정책 수립 등에서 도움이 된다. 하지만 소셜 데이터는 각종 신조어 및 이모티콘이 다수 포함되어 있어 기존 감성 분석 방법으로는 정확한 분석을 하기 어렵다. 이러한 문제를 해결하기 위해 본 논문에서는 신조어 및 이모티콘 감성 사전을 구축하고, 분석 과정에서 기존 감성 사전과 본 논문에서 구축된 신조어 및 이모티콘 감성 사전을 사용하여 감성 분석 정확도를 비교한다.

• Journal of Integrative Natural Science
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• v.14 no.2
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• pp.35-40
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• 2021

In this paper, we proposed a multi-subject-level sentiment analysis model for user reviews using the Latent Dirichlet Allocation (LDA) method targeting user-generated content (UGC). Data were collected from users' online reviews of hotels in major tourist cities in the world, and 30 hotel-related topics were extracted using the entire user reviews through the LDA technique. Six major hotel-related themes (Cleanliness, Location, Rooms, Service, Sleep Quality, and Value) were selected from the extracted themes, and emotions were evaluated for sentences corresponding to six themes in each user review in the proposed sentiment analysis model. Sentiment was analyzed using a dictionary. In addition, the performance of the proposed sentiment analysis model was evaluated by comparing the emotional values for each subject in the user reviews and the detailed scores evaluated by the user directly for each hotel attribute. As a result of analyzing the values of accuracy and recall of the proposed sentiment analysis model, it was analyzed that the efficiency was high.

• The Journal of the Acoustical Society of Korea
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• v.10 no.2
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• pp.29-35
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• 1991

In this paper, we discuss the method of recognizing allophone unit isolated words using hidden Markov model(HMM). Frist we constructed allophone lexicon by extracting allophones from training data and by training allophone HMMs. And then to recognize isolated words using allophone HMMs, it is necessary to construct word dictionary which contains information of allophone sequence and inter-allophone transition probability. Allophone sequences are represented by allophone HMMs. To see the effects of inter-allophone transition probability and to determine optimal probabilities, we performend some experiments. And we showed that small number of traing data and simple train procedure is needed to train word HMMs of allophone sequences and that not less performance than word unit HMM is obtained.

• Industrial Engineering and Management Systems
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• v.13 no.4
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• pp.369-382
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• 2014

This paper introduces a new multi-product multi-period multi-objective aggregate production planning problem. The proposed problem is modeled using multi-objective mixed-integer mathematical programming. Three objective functions, including minimizing total cost, maximizing customer services level, and maximizing the quality of end-product, are considered, simultaneously. Several constraints such as quantity of production, available time, work force levels, inventory levels, backordering levels, machine capacity, warehouse space and available budget are also considered. Some parameters of the proposed model are assumed to be qualitative and modeled using fuzzy sets. Then, a fuzzy goal programming approach is proposed to solve the model. The proposed approach is applied on a real-world industrial case study of a color and resin production company called Teiph-Saipa. The approach is coded using LINGO software. The efficacy and applicability of the proposed approach are illustrated in the case study. The results of proposed approach are compared with those of the existing experimental methods used in the company. The relative dominance of the proposed approach is revealed in comparison with the experimental method. Finally, a data dictionary, including the way of gathering data for running the model, is proposed in order to facilitate the re-implementation of the model for future development and case studies.

• Journal of Physiology & Pathology in Korean Medicine
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• v.31 no.3
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• pp.153-158
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• 2017

As social interest in acne treatment has grown, various external preparations have been developed and studied. So, we investigated the external prescription which can treat acne in medical classics, then reviewed and divided it by dynasty. The data for analysis of Herbal formula was taken from 'medicine Dictionary of traditional Chinese medicine prescriptions(中醫方劑大辭典)'. 31 external medicines were searched, 3 were before song(宋) dynasty, 11 were Song(宋) dynasty, 11 were Yuan(元) dynasty, 7 were Ming(明) dynasty and 7 were Qing(淸) dynasty. The recipe and usage were only making them pill(丸) and paste(膏) using grinded medicinal herbs, then rubbing to face. As the age developed, unique manufacturing process(i.e fermentation method), and usage(i.e time-based usage, herbal medicine extracts for wash) were proposed. The external application with oriental medicine for acne used with Angelicae Gahuricae Radix(n=12), Bletillae Rhizoma(n=8), Syzygii Flos, Saposhnikoviae Radix(n=7) and so on. In particular, Bletillae Rhizoma was searched with high frequency in this study, but it was not included or studied in patent composition. The results of this study will provide basic data for future experiments and clinical studies.

• Journal of the Society of Disaster Information
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• v.1 no.1
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• pp.121-136
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• 2005

Most human-error case of accident database is written by various description and expression because accident database is produced by two or more person. And extracted information by searching of database varies in researcher's judgment criteria and the capability. Furthermore, much time and effort are required to examine manually information related to the human error from each accident case. Accordingly, it is difficult to explore objectively the accidents relevant to the human-error from the accident data base which is accumulated enormously. In this study, to solve these problems, it was developed an searchig method which is not influenced by researcher's judgment criteria and capability. For this, human-error keywords were extracted from a Japanese-English dictionary to examine objectively the accident case related to human-error in data base. This searching method by the human-error keywords can be applicable in most accident databases, although a database will be accumulated in future. Also, using the searching technique of this research, knowledge obtained by searching result can be compared with other research's results by the same method. Although the number of accident case increasese, searching results from database have the objectivity because it is not necessary to modify the based searching method or change the human-error keywords. However, as subject of future investigation, it would be necessary that the extension and investigation on human-error keywords improve and the technique to enhance searching accuracy would be modified.