• The Journal of Economics, Marketing and Management
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• v.9 no.1
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• pp.1-14
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• 2021

Purpose: The article deals with the proposition that consumers' fashion consumption behavior will still follow the consumption behavior of fast fashion, despite recognizing the importance of slow fashion. Research design, data and methodology: The research model to verify this proposition is topic modelling with big data including unstructured textual data. we combined 5,506 news articles posted on Naver news search platform during the 2003-2019 period about fast fashion and slow fashion, high-frequency words have been derived, and topics have been found using LDA model. Based on these, we examined consumers' perception and consumption behavior on slow fashion through the analysis of Topic Network. Results: (1) Looking at the status of annual article collection, consumers' interest in slow fashion mainly began in 2005 and showed a steady increase up to 2019. (2) Term Frequency analysis showed that the keywords for slow fashion are the lowest, with consumers' consumption patterns continuing around 'brand.' (3) Each topic's weight in articles showed that 'social value' - which includes slow fashion - ranked sixth among the 9 topics, low linkage with other topics. (4) Lastly, 'brand' and 'fashion trend' were key topics, and the topic 'social value' accounted for a low proportion. Conclusion: Slow fashion was not a considerable factor of consumption behavior. Consumption patterns in fashion sector are still dominated by general consumption patterns centered on brands and fast fashion.

• The KIPS Transactions:PartB
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• v.14B no.3 s.113
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• pp.183-190
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• 2007

VoiceXML is new markup language which is designed for web resource navigation via voice based on XML. An application using VoiceXML is classified into mutual-controlled and machine-controlled form dialog structure. Such dialog structures can't construct service which provide free navigation of web resource by user because a scenario is decided by application developer. In this paper, we propose VoiceXML application structure using user-controlled form dialog system which decide service scenario according to user's intention. The proposed application automatically detects recognition candidates from requested information by user, and then system uses recognition candidate as voice-anchor. Also, system connects each voice-anchor with new voice-node. An example of proposed system, we implement news service with IT term dictionary, and we confirm detection and registration of voice-anchor and make an estimate of hit rate about measurement of an successive offer from information according to user's intention and response speed. As the experiment result, we confirmed possibility which is more freely navigation of web resource than existing VoiceXML form dialog systems.

• Journal of the Korea Society for Simulation
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• v.31 no.3
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• pp.35-44
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• 2022

In this study, we analyze and forecast quantum computer technology trends. Previous research has been mainly focused on application fields centered on technology for quantum computer technology trends analysis. Therefore, this paper analyzes important quantum computer technologies and performs future signal detection and prediction, for a more market driven technical analysis and prediction. As analyzing words used in news articles to identify rapidly changing market changes and public interest. This paper extends conference presentation of Cha & Chang (2022). The research is conducted by collecting domestic news articles from 2019 to 2021. First, we organize the main keywords through text mining. Next, we explore future quantum computer technologies through analysis of Term Frequency - Inverse Document Frequency(TF-IDF), Key Issue Map(KIM), and Key Emergence Map (KEM). Finally, the relationship between future technologies and supply and demand is identified through random forests, decision trees, and correlation analysis. As results of the study, the interest in artificial intelligence was the highest in frequency analysis, keyword diffusion and visibility analysis. In terms of cyber-security, the rate of mention in news articles is getting overwhelmingly higher than that of other technologies. Quantum communication, resistant cryptography, and augmented reality also showed a high rate of increase in interest. These results show that the expectation is high for applying trend technology in the market. The results of this study can be applied to identifying areas of interest in the quantum computer market and establishing a response system related to technology investment.

• Journal of Korea Technical Association of The Pulp and Paper Industry
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• v.48 no.1
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• pp.67-74
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• 2016

The demand of environmental friendly packaging materials such as pulp mold has been increased. The application of the oil palm biomass, EFB (Empty Fruit Bunch) fiber as natural raw materials to the pulp mold could increase the usability of the pulp mold by the reduced production cost brought from the relatively low cost of EFB. The effects of the EFB(Empty Fruit Bunch) fibers on the properties of pulp mold and on the process efficiency were evaluated in this study. The pulp mold samples were prepared with mixture ONP (Old news paper) and EFB by using laboratory wet pulp molder. The changes in the drying efficiency were measured with the changes in the solid contents of pulp mold samples during drying process. The efficiency of the surface coating treatment on the pulp mold depending on the condition of the pulp mold samples were also evaluated in order to improve the water resistance properties of pulp mold. The addition of EFB increased the drying efficiency by providing the bulkier structure and the higher water contact angle, which indicated the better water resistance properties. The water resistance were improved by the surface coating treatments and the application of surface coating on the pulp mold at the higher moisture contents resulted in the higher improvement in the water resistance. The bulkier structure originated from the application of EFB fiber reduced the effects of the surface coating, which could be overcome by the control of surface coating process.

• Journal of Intelligence and Information Systems
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• v.21 no.4
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• pp.37-51
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• 2015

Due to the development of internet technology and the rapid increase of internet data, various studies are actively conducted on how to use and analyze internet data for various purposes. In particular, in recent years, a number of studies have been performed on the applications of text mining techniques in order to overcome the limitations of the current application of structured data. Especially, there are various studies on sentimental analysis to score opinions based on the distribution of polarity such as positivity or negativity of vocabularies or sentences of the texts in documents. As a part of such studies, this study tries to predict ups and downs of stock prices of companies by performing sentimental analysis on news contexts of the particular companies in the Internet. A variety of news on companies is produced online by different economic agents, and it is diffused quickly and accessed easily in the Internet. So, based on inefficient market hypothesis, we can expect that news information of an individual company can be used to predict the fluctuations of stock prices of the company if we apply proper data analysis techniques. However, as the areas of corporate management activity are different, an analysis considering characteristics of each company is required in the analysis of text data based on machine-learning. In addition, since the news including positive or negative information on certain companies have various impacts on other companies or industry fields, an analysis for the prediction of the stock price of each company is necessary. Therefore, this study attempted to predict changes in the stock prices of the individual companies that applied a sentimental analysis of the online news data. Accordingly, this study chose top company in KOSPI 200 as the subjects of the analysis, and collected and analyzed online news data by each company produced for two years on a representative domestic search portal service, Naver. In addition, considering the differences in the meanings of vocabularies for each of the certain economic subjects, it aims to improve performance by building up a lexicon for each individual company and applying that to an analysis. As a result of the analysis, the accuracy of the prediction by each company are different, and the prediction accurate rate turned out to be 56% on average. Comparing the accuracy of the prediction of stock prices on industry sectors, 'energy/chemical', 'consumer goods for living' and 'consumer discretionary' showed a relatively higher accuracy of the prediction of stock prices than other industries, while it was found that the sectors such as 'information technology' and 'shipbuilding/transportation' industry had lower accuracy of prediction. The number of the representative companies in each industry collected was five each, so it is somewhat difficult to generalize, but it could be confirmed that there was a difference in the accuracy of the prediction of stock prices depending on industry sectors. In addition, at the individual company level, the companies such as 'Kangwon Land', 'KT & G' and 'SK Innovation' showed a relatively higher prediction accuracy as compared to other companies, while it showed that the companies such as 'Young Poong', 'LG', 'Samsung Life Insurance', and 'Doosan' had a low prediction accuracy of less than 50%. In this paper, we performed an analysis of the share price performance relative to the prediction of individual companies through the vocabulary of pre-built company to take advantage of the online news information. In this paper, we aim to improve performance of the stock prices prediction, applying online news information, through the stock price prediction of individual companies. Based on this, in the future, it will be possible to find ways to increase the stock price prediction accuracy by complementing the problem of unnecessary words that are added to the sentiment dictionary.

• The Journal of Korean Academy of Sensory Integration
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• v.1 no.1
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• pp.73-79
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• 2003

The significant historical events and developments in the area of approach for sensory integration in Korean Society of Sensory Integration Therapists(KSSIT) are reviewed to stimulate future planning and clinical application in professional and health promotion. The paper reviewed the purposes of establishment, the role of members, progress of regular meetings and education for members and seminars in KSSIT. This review is placed within the context of the progressive period of KSSIT history, 1997-2003. Historical data are used as primary sources as records of events in KSSIT's homepage, official transcripts, professional articles, and secondary sources such as news letters for occupational therapists and oral information from first members. This review examined current actions and thinking, and suggests further actions and thinking for progressive professional education programs, research, clinical applications and public relations in sensory integration approach in KSSIT.

• Journal of Korea Society of Digital Industry and Information Management
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• v.11 no.2
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• pp.131-139
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• 2015

This study suggests that the application of split screen as visual media can attain the effect of diversity through providing rich information and accepting diverse contents as gorgeous aesthetics. Single images are analyzed as appropriate to a demanded concentration genre such as news and dramas, entertainment. In contrast, images with natural images and ads images those are more appropriate and analyzed as the genre of the split-screen which is highly efficiency to the contents and also highly efficiency to the spatial diversification. In introducing various genres of digital contents into split screen, the synergy of contents is induced by placement in consideration of the characteristics of split screen position. In order to increase the concentration of the split-screen image, using the left area and right area above it, can increase the effectiveness of the content.

• Proceedings of the Korean Information Science Society Conference
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• 2012.06d
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• pp.450-452
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• 2012

본 논문에서는 뉴스 기사의 효과적인 구독을 위한 뉴스리더의 개발에 대하여 기술한다. 뉴스리더는 RSS 형식의 뉴스 기사를 사용자의 기호에 따라 미리 지정한 시간대에 수신하며 저장하여 둠으로써 빠르게 사용자에게 보여줄 수 있다. 또한, 기사에 코스피 200 상장 기업에 해당하는 기업명이 나올 경우, 한국 거래소와 연동하여 해당 기업의 종합적인 주식 정보를 보여줌으로써 효용성을 높였다.

• ETRI Journal
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• v.31 no.1
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• pp.10-20
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• 2009

In this paper, a video broadcasting system between a home-server-type device and a mobile device is proposed. The home-server-type device can automatically extract semantic information from video contents, such as news, a soccer match, and a baseball game. The indexing results are utilized to convert the original video contents to a digested or arranged format. From the mobile device, a user can make recording requests to the home-server-type devices and can then watch and navigate recorded video contents in a digested form. The novelty of this study is the actual implementation of the proposed system by combining the actual IT environment that is available with indexing algorithms. The implementation of the system is demonstrated along with experimental results of the automatic video indexing algorithms. The overall performance of the developed system is compared with existing state-of-the-art personal video recording products.

• Proceedings of the KSPS conference
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• 1996.10a
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• pp.168-168
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• 1996

In this paper I will examine some concrete examples of the obstacles faced by non-native speakers of Japanese when learning the language. I will go on to suggest ways in which these obstacles may be overcome. Nowadays there are numerous Japanese language books available for non-native speakers. However, most of these introductory Japanese language books focus on topics such as pronunciation, accent and intonation. Notable, these introductory textbooks provide insufficient emphasis on prosodic features of the Japanese language. The Japanese language has been considered by many teachers as relatively easy compared to other languages, due to its simple phonetic structure. This may be a partial explanation of the reason why the teaching of prosodic features has generally been given insufficient emphasis. To teach Japanese efficiently at a university level I have combined an emphasis on the teaching of prosodic features together with my experience of television announcing. This has entailed using television news programmes and contemporary reading materials in my class. Using taped material I intend to describe a case-study of teaching of Japanese articulation.