• Journal of Intelligence and Information Systems
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• v.23 no.3
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• pp.155-175
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• 2017

As social data become into the spotlight, mainstream web search engines provide data indicate how many people searched specific keyword: Web Search Traffic data. Web search traffic information is collection of each crowd that search for specific keyword. In a various area, web search traffic can be used as one of useful variables that represent the attention of common users on specific interests. A lot of studies uses web search traffic data to nowcast or forecast social phenomenon such as epidemic prediction, consumer pattern analysis, product life cycle, financial invest modeling and so on. Also web search traffic data have begun to be applied to predict tourist inbound. Proper demand prediction is needed because tourism is high value-added industry as increasing employment and foreign exchange. Among those tourists, especially Chinese tourists: Youke is continuously growing nowadays, Youke has been largest tourist inbound of Korea tourism for many years and tourism profits per one Youke as well. It is important that research into proper demand prediction approaches of Youke in both public and private sector. Accurate tourism demands prediction is important to efficient decision making in a limited resource. This study suggests improved model that reflects latest issue of society by presented the attention from group of individual. Trip abroad is generally high-involvement activity so that potential tourists likely deep into searching for information about their own trip. Web search traffic data presents tourists' attention in the process of preparation their journey instantaneous and dynamic way. So that this study attempted select key words that potential Chinese tourists likely searched out internet. Baidu-Chinese biggest web search engine that share over 80%- provides users with accessing to web search traffic data. Qualitative interview with potential tourists helps us to understand the information search behavior before a trip and identify the keywords for this study. Selected key words of web search traffic are categorized by how much directly related to "Korean Tourism" in a three levels. Classifying categories helps to find out which keyword can explain Youke inbound demands from close one to far one as distance of category. Web search traffic data of each key words gathered by web crawler developed to crawling web search data onto Baidu Index. Using automatically gathered variable data, linear model is designed by multiple regression analysis for suitable for operational application of decision and policy making because of easiness to explanation about variables' effective relationship. After regression linear models have composed, comparing with model composed traditional variables and model additional input web search traffic data variables to traditional model has conducted by significance and R squared. after comparing performance of models, final model is composed. Final regression model has improved explanation and advantage of real-time immediacy and convenience than traditional model. Furthermore, this study demonstrates system intuitively visualized to general use -Youke Mining solution has several functions of tourist decision making including embed final regression model. Youke Mining solution has algorithm based on data science and well-designed simple interface. In the end this research suggests three significant meanings on theoretical, practical and political aspects. Theoretically, Youke Mining system and the model in this research are the first step on the Youke inbound prediction using interactive and instant variable: web search traffic information represents tourists' attention while prepare their trip. Baidu web search traffic data has more than 80% of web search engine market. Practically, Baidu data could represent attention of the potential tourists who prepare their own tour as real-time. Finally, in political way, designed Chinese tourist demands prediction model based on web search traffic can be used to tourism decision making for efficient managing of resource and optimizing opportunity for successful policy.

• The Journal of Korean Academy of Sensory Integration
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• v.19 no.1
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• pp.69-82
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• 2021

Objective : This recent work intended to provide basic information for researchers and practitioners related to occupational therapy about Developmental Coordination Disorder (DCD) in South Korea. The previous research of screening DCD and the effects of intervention programs were reviewed. Methods : Peer-reviewed papers relating to DCD and published in Korea from January 1990 to December 2020 were systematically reviewed. The search terms "developmental coordination disorder," "development coordination," and "developmental coordination" were used to identify previous Korean research in this area from three representation database, the Research Information Sharing Service, Korean Studies Information Service System, and Google Scholar. We found a total of 4,878 articles identified through the three search engines and selected seventeen articles for analysis after removing those that corresponded to the overlapping or exclusion criteria. We adopted "the conceptual model" to analyze the selected articles about DCD assessment and intervention. Results : We found that twelve of the 17 studies showed the qualitative level of Level 2 using non-randomized approach between the two groups. The Movement Assessment Battery for Children and its second edition were the most frequently used tools in assessing children for DCD. Among the intervention studies, the eight articles (47%) were adopted a dynamic systems approach; a normative functional skill framework and cognitive neuroscience were each used in 18% of the pieces; and 11% of the articles were applied neurodevelopmental theory. Only one article was used a combination approach of normative functional skill and general abilities. These papers were mainly focused on the movement characteristics of children with DCD and the intervention effect of exercise or sports programs. Conclusion : Most of the reviewed studies investigated the movement characteristics of DCD or explore the effectiveness of particular intervention programs. In the future, it would be useful to investigate the feasibility of different assessment tools and to establish the effectiveness of various interventions used in rehabilitation for better motor performance in children with DCD.

• Spatial Information Research
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• v.20 no.2
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• pp.59-70
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• 2012

Advances in science and technology, especially the increasing popularity of smart phone has opened up infinite possibilities for the information retrieval. And the augmented reality technology which has started getting attention to various fields has allowed us to get an information in an innovative way by providing additional information to a real world before our eyes. The purpose of this study is to suggest and to construct mobile application service which give history-tourism information efficiently based on augmented reality technology. As a result of study, we suggest that it is needed to find the view point that the most accurate information can be provided to the users according to each contents such as maps, pictures, drawings etc. and to provide the function to the users which shows the view points information efficiently. The purpose of this study is to investigate the possibility whether the technology studied in private sector by using augmented reality based on smart phone can also be applied in public sector for the service of history tourism information. We expect that this study can be the basis for providing the more advanced augmented reality service in the near future.

• Journal of Digital Convergence
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• v.15 no.10
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• pp.63-81
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• 2017

Objectives of this study are to analyze the previous research perfomed in the Bus Information System (BIS) area and to suggest future research directions. This is a very meaningful and important work. To accomplish this, this study (1) summarizes the concepts of BIS, (2) establishes a research framework to be used to analyze the previous studies in the area, and (3) identifies and suggest trends and future directions of the BIS research. This study has identified total of 68 article (22 foreign and 46 domestic) using 'Google Scholoar' search engine. Major research results include (1) since non-empirical research is dominant, more explanatory empirical research is needed in the future, (2) research that provides consistent and comprehensive measures for BIS related constructs (e.g., BIS quality) is needed, and (3) impacts on the stakeholders of BIS not reflected in the current research (e.g., bus drivers, administrative agencies) should be analyzed in the future research.

• The Journal of the Convergence on Culture Technology
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• v.1 no.3
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• pp.77-82
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• 2015

Recently there are a lot of cases of pneumothorax disease among young people. Also, thoracic Surgery is just a disease that often emerges in the background in the medical drama related to a pneumothorax. However, despite being exposed to a lot of diseases in the mass media pneumothorax, actual pneumothorax patient do not know cases that have early signs of tension pneumothorax, the disease occurs even when coming to the emergency room, and Patients are also looking for the hospital of right lung surgery. When early symptoms of pneumothorax helps to prevent the onset of these problems, it has been studied and dose not receive any treatment. In this paper pneumothorax is compared by the various methods of treatment, and pneumothorax is introduced patients with symptoms in many medical dramas. And Other internet sites including google were investigated for various treatment methods through academic papers related to pneumothorax.

• Journal of the Economic Geographical Society of Korea
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• v.18 no.2
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• pp.224-241
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• 2015

This study investigates the time-space characteristics of the consumptions of cultural-contents commodities and their spatial diffusion progresses via digital media. For the purpose, we examine the spatial diffusion patterns of PSY's Music Video "Gangnam Style" since it has been launched on the YouTube. By visualizing the spacio-temporal progresses of YouTube, Tweet, and Google searching data during four months after launching, we examine the time-space characteristics of diffusion patterns of the music video via each media. We found that the adapting time and the diffusion progress were not in accordance at each country. The results revel that cultural distance such as characterized by language, cultural linkage, exclusivism or courtesy for the 'Hanrue' affects quite strongly on the spatial diffusion of music video rather than physical distance.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.46 no.5
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• pp.14-28
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• 2009

The PageRank algorithm is an important component for ranking Web pages in Google and other search engines. While many improvements for the original PageRank algorithm have been proposed, it is unclear which variations (and their combinations) provide the "best" ranked results. In this paper, we evaluate the ranking quality of the well-known variations of the original PageRank algorithm and their combinations. In order to do this, we first classify the variations into link-based approaches, which exploit the link structure of the Web, and knowledge-based approaches, which exploit the semantics of the Web. We then propose algorithms that combine the ranking algorithms in these two approaches and implement both the variations and their combinations. For our evaluation, we perform extensive experiments using a real data set of one million Web pages. Through the experiments, we find the algorithms that provide the best ranked results from either the variations or their combinations.

• The Journal of the Korea Contents Association
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• v.21 no.10
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• pp.11-20
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• 2021

The analysis of citing and cited phrases provides an opportunity to enhance search-centric academic information services. However, most current studies focus only on citation analysis among academic associations, researchers, and articles, making it challenging to develop higher citation-based information services. This study proposes citation analysis service methods using citing and cited phrases. First, to verify the feasibility of suggested services, we have collected the most highly cited articles with specific domain terms and followed their citing relationship; after that, we found formal citation types and ratios in the original articles. And we conducted structural analysis, especially with three topics, "Deep Learning," "Green Energy," and "Aging," and then structurally illustrates the citation characteristics of related articles. Finally, we collected four most cited articles and all their citing ones for each subject from Google Scholar and analyzed the ratio of citation types and citation spread. We hope that various citation analysis studies and information services can be further developed based on our discussion for designing better information services.

• Informatization Policy
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• v.28 no.2
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• pp.3-33
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• 2021

The purpose of this study is to analyze the research trends in the field of Blockchain that is one of the core technologies of the 4^th Industry, and present future research orientation. In this study, (1) Blockchain technologies in business perspective are summarized; (2) analysis criteria of Blockchain fields are established; and (3) results of analysis are presented and future research orientation is proposed. Major findings are as follows: (1) related research is being activate with the advent of the 3rd generation blockchain which aims for distributed applications. (2) major concerns of the technology (engineering) field is blockchain scalability and of the business (application) field is blockchain-based supply chain traceability. (3) Compared to overseas, domestic research results are very poor. (4) to catchup the gap, the spreading of awareness that blockchain is not a technology but a business means is required.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.32 no.4
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• pp.231-263
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• 2021

The purpose of this study is to analyze the information behavior of so-called "MZ Generation" users who are going to be the main information users of the continuously and radically changing scientific information environment due to the advent of various types of information media and rapid increment of digital information resources. Especially, the characteristics of MZ generation is investigated through questionnaire asking questions about their use of contents platforms, and online resources for everyday life information and scholarly information, and their way of producing, responding, and sharing information contents. The results show that they use YouTube most as the contents platform, prefer Naver as their everyday life information source, and use Google as the main scholarly information source. Their main purpose of using the content platform is to search for everyday life information rather than scholarly or professional information, and they are actively producing information, mostly to keep records of their everyday lives.