• The Journal of the Convergence on Culture Technology
• /
• v.8 no.2
• /
• pp.343-348
• /
• 2022

This study aims to analyze the user experience of unmanned checkout counters perceived by consumers using SNS big data. For this study, blogs, news, intellectuals, cafes, intellectuals (tips), and web documents were analyzed on Naver and Daum, and 'unmanned checkpoints' were used as keywords for data search. The data analysis period was selected as two years from January 1, 2020 to December 31, 2021. For data collection and analysis, frequency and matrix data were extracted through Textom, and network analysis and visualization analysis were conducted using the NetDraw function of the UCINET 6 program. As a result, the perception of the checkout counter was clustered into accessibility, usability, continuous use intention, and others according to the definition of consumers' experience factors. From a supplier's point of view, if unmanned checkpoints spread indiscriminately to solve the problem of raising the minimum wage and shortening working hours, a bigger employment problem will arise from a social point of view. In addition, institutionalization is needed to supply easy and convenient unmanned checkout counters for the elderly and younger generations, children, and foreigners who are not familiar with unmanned calculation.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.22 no.5
• /
• pp.354-360
• /
• 2021

People hope to live a healthy and happy life achieving satisfaction by striking a good work-life balance. Therefore, there is a growing interest in well-aging which means living happily to a healthy old age without worry. This study identified important factors related to well-aging by analyzing news articles published in Korea. Using Python-based web crawling, 1,199 articles were collected on the news service of portal site Daum till November 2020, and 374 articles were selected which matched the subject of the study. The frequency analysis results of text mining showed keywords such as 'elderly', 'health', 'skin', 'well-aging', 'product', 'person', 'aging', 'female', 'domestic' and 'retirement' as important keywords. Besides, a social network analysis with 45 important keywords revealed strong connections in the order of 'skin-wrinkle', 'skin-aging' and 'old-health'. The result of the CONCOR analysis showed that 45 main keywords were composed of eight clusters of 'life and happiness', 'disease and death', 'nutrition and exercise', 'healing', 'health', and 'elderly services'.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
• /
• v.7 no.4
• /
• pp.299-314
• /
• 2017

Technological advances in media have expanded users' consciousness. At the same time, users have changed from passive into active voice by interacting media. The emergence of mobile made different structures and contents compared to the past. Especially, Korean culture of mobile converted original media channels to contents in a category. Plus, the usage structure of internet of this time converges in massive portal sites. It is because that the structure has aspect of emitting through remediation in the sites. Also, Korean massive portal sites have provided specific service named 'real-time issues'. This is not only the unique way of offering information that exists in Korea but also high usability of getting issues. We therefore considered the meaning of durability of real-time issues in the view of journalism, compared original media channels. Then, this paper identified the user attributes for acquisition of information following ways using informal and formal data from Korean massive portal sites named 'Daum' and 'Naver'.

• 한국체육학회지인문사회과학편
• /
• v.55 no.6
• /
• pp.801-810
• /
• 2016

The purpose of the study was to conduct a text mining examining keywords related to the National Paralympics and provide the fundamental information that would be used to change perception of people without disabilities toward disabilities and to promote the social participation of people with and without disabilities in the National Paralympics. Social big data regarding the National Paralympics were retrieved from news articles and blog postings identified by search engines, Naver, Daum, and Google. The data were then analysed using R-3.3.1 Version Program. The analysing techniques were cloud analysis, correlation analysis and social network analysis. The results were as follows. First, news were mainly related to game results, sports events, team participation and host avenue of the 33rd ~ 36th National Paralympics. Second, search results about the 33rd ~ 36th National Paralympics between Naver, Daum, and Google were similar to one another. Thirds, the keywrods, National Paralympics, sports for the disabled, and sports, demonstrated a high close centrality. Further, degree centrality and betweenness centrality were associated in the keywords such as sports for all, participation, research, development, sports-disabled, research-disabled, sports for all-participation, disabled-participation, sports for all-disabled, and host-paralympics.

• Journal of the Korean Society of Safety
• /
• v.27 no.2
• /
• pp.34-41
• /
• 2012

In this study, it has been proposed the new type of temporary bridge which is structural performance maximization to integrated cover plate and girder as well as roll of lining board. Of all temporary bridge integrated cover plate and main girder in the form of a new type of structure is advantageous for the judge, but to the field of transport difficulties and challenges due to high altitude operations to take advantage of this challenge and deliver a structured, easy transport, and the synthesis of lining board possible was proposed. Lining board proposed in this study through experimental synthesis and analysis of the factors that influence the effectiveness of the construction and economic development in the construction method was superior, compared to the conventional lining board.

• The Journal of the Convergence on Culture Technology
• /
• v.2 no.3
• /
• pp.35-40
• /
• 2016

This study is about developing an Android application that provides information on customized styling and the app was made to offer assistance in coordinating users' clothing. It keeps the record on clothing items users wore and uses it as coordination information, and prepares styling by referring to user-specific clothing management data. The photos can taken during shopping or can be taken from smart phone gallery, and the images searched through Daum OpenAPI can be saves in the app. Using the saved photos of items and clothes that were previously worn, the app provides styling recommendations.

• Journal of the Korean Society of Safety
• /
• v.30 no.4
• /
• pp.92-98
• /
• 2015

This paper was carried out to prove the relation between static loads acting on the sluice(hydrostatic) and dynamic loads (additional loads) arising from opening or closing of sluice, through measuring the operation of shell-type roller gate by using the method of measuring of the completely opening water gate, as measured from one excitation state, it was confirmed to be capable of measuring the natural frequency reliable measurement results. Throughout the test, we prove that it's a reasonable way to estimate the default margin of safety when calculated by dividing the sum of the hydrostatic stress to the maximum stress and additional stress. The application of this paper's safety estimation method can be utilized as the basic data for the systematic and rational maintenance management of dams and submerged weirs in the future, and it is expected that this study can bring forth.

• Fashion & Textile Research Journal
• /
• v.22 no.5
• /
• pp.639-649
• /
• 2020

This study investigates consumer opinions of clothing care and provides fundamental data to decision-making for oncoming development of clothing care system. Textom, a web-matrix program, was used to analyze big data collected from Naver and Daum with a keyword of "clothing care" from March 2019 to February 2020. A total of 22, 187 texts were shown from the big data collection. Collected big data were analyzed using text-mining, network, and CONCOR analysis. The results of this study were as follows. First, many keywords related to clothing care were shown from the result of frequency analysis such as style, Dryer, LG Electronics, Product, Customer, Clothing, and Styler. Consumers were well recognizing and having an interest in recent information related to the clothing care system. Second, various keywords such as product, function, brand, and performance, were linked to each other which were fundamentally related to the clothing care. The interest in products of the clothing care system were linked to product brands that were also naturally linked to consumer interest. Third, the keywords in the network showed similar attributes from the result of CONCOR analysis that were classified into 4 groups such as the characteristics of purchase, product, performance, and interest. Lastly, positive emotions including goodwill, interest, and joy on the clothing care system were strongly expressed from the result of the sentimental analysis.

• Journal of the Korean Society for Library and Information Science
• /
• v.44 no.2
• /
• pp.241-262
• /
• 2010

This study aims to perform an evaluation of classification systems provided by major Korean search portals, Naver, Nate, Daum, and Yahoo-Korea. These classification systems are evaluated in terms of the consistency of classification system, logicality of classification system, ease of interface, clarity of category names, order of category and site listing, and hierarchical structure. The results of this study show that each search portal provides separate classification systems for their services. These results imply that it is crucial for search portals to implement a common classification system and a common interface for their services. This study could contribute to the development and improvement of portals' classification systems.

• Journal of Korean Society for Quality Management
• /
• v.43 no.2
• /
• pp.201-218
• /
• 2015

Purpose: This study surveyed the effects of instructors' verbal and nonverbal communication quality on students' learning flow and satisfaction. We divided the two types of communication into sub-factors - verbal communication into language, and nonverbal communication into kinesics, proxemics, paralanguage and physical appearance - to examine the causal relationship between learning flow and learning satisfaction. Methods: This study was conducted on the students (parents) of a paid early childhood education program run by "I" company located in Seoul, from November 12, 2014 to November 18, 2014. A total of 317 (90.5 %, effective) questionnaires were collected and analyzed using SPSS 18.0 and AMOS 18.0. Results: First, the verbal communication of the lecturers was found to have significantly positive (+) effects on learning satisfaction. Second, among the nonverbal communications, proxemics and physical appearance were found to have positive (+) effects on learning flow. Third, among the nonverbal communications, proxemics was found to have positive (+) effects on learning satisfaction. Fourth, the learning flow of students was found to have positive (+) effects on learning satisfaction. Conclusion: This study's findings can contribute to realizing desirable communication between instructors and students.