• Journal of Korean Society of Rural Planning
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• v.30 no.2
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• pp.13-24
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• 2024

This study conducts an analysis of social media big data pertaining to island tourism resources, aiming to discern the diverse forms and categories of island tourism favored by consumers, ascertain predominant resources, and facilitate objective decision-making grounded in scientific methodologies. To achieve this objective, an examination of blog posts published on Naver from 2022 to 2023 was undertaken, utilizing keywords such as 'Island tourism', 'Island travel', and 'Island backpacking' as focal points for analysis. Text mining techniques were applied to sift through the data. Among the resources identified, the port emerged as a significant asset, serving as a pivotal conduit linking the island and mainland and holding substantial importance as a focal point and resource for tourist access to the island. Furthermore, an analysis of the disparity between existing island tourism resources and those acknowledged by tourists who actively engage with and appreciate island destinations led to the identification of 186 newly emerging resources. These nascent resources predominantly clustered within five regions: Incheon Metropolitan City, Tongyeong/Geoje City, Jeju Island, Ulleung-gun, and Shinan-gun. A scrutiny of these resources, categorized according to the tourism resource classification system, revealed a notable presence of new resources, chiefly in the domains of 'rural landscape', 'tourist resort/training facility', 'transportation facility', and 'natural resource'. Notably, many of these emerging resources were previously overlooked in official management targets or resource inventories pertaining to existing island tourism resources. Noteworthy examples include ports, beaches, and mountains, which, despite constituting a substantial proportion of the newly identified tourist resources, were not accorded prominence in spatial information datasets. This study holds significance in its ability to unearth novel tourism resources recognized by island tourism consumers through a gap analysis approach that juxtaposes the existing status of island tourism resource data with techniques utilizing social media big data. Furthermore, the methodology delineated in this research offers a valuable framework for domestic local governments to gauge local tourism demand and embark on initiatives for tourism development or regional revitalization.

• Journal of the Korean earth science society
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• v.45 no.3
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• pp.173-191
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• 2024

Typhoons are significant meteorological phenomena that cause interactions among the ocean, atmosphere, and land within Earth's system. In particular, wind speed, a key characteristic of typhoons, is influenced by various factors such as central pressure, trajectory, and sea surface temperature. Therefore, a comprehensive understanding based on actual observational data is essential. In the 2015 revised secondary school textbooks, typhoon wind speed is presented through text and illustrations; hence, exploratory activities that promote a deeper understanding of wind speed are necessary. In this study, we developed a data visualization program with a graphical user interface (GUI) to facilitate the understanding of typhoon wind speeds with simple operations during the teaching-learning process. The program utilizes red-green-blue (RGB) image data of Typhoons Mawar, Guchol, and Bolaven -which occurred in 2023- from the Korean geostationary satellite GEO-KOMPSAT-2A (GK-2A) as the input data. The program is designed to calculate typhoon wind speeds by inputting cloud movement coordinates around the typhoon and visualizes the wind speed distribution by inputting parameters such as central pressure, storm radius, and maximum wind speed. The GUI-based program developed in this study can be applied to typhoons observed by GK-2A without errors and enables scientific exploration based on actual observations beyond the limitations of textbooks. This allows students and teachers to collect, process, analyze, and visualize real observational data without needing a paid program or professional coding knowledge. This approach is expected to foster digital literacy, an essential competency for the future.

• Journal of Intelligence and Information Systems
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• v.22 no.3
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• pp.23-43
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• 2016

As a result of the growth of Internet data and the rapid development of Internet technology, "big data" analysis has gained prominence as a major approach for evaluating and mining enormous data for various purposes. Especially, in recent years, people tend to share their experiences related to their leisure activities while also reviewing others' inputs concerning their activities. Therefore, by referring to others' leisure activity-related experiences, they are able to gather information that might guarantee them better leisure activities in the future. This phenomenon has appeared throughout many aspects of leisure activities such as movies, traveling, accommodation, and dining. Apart from blogs and social networking sites, many other websites provide a wealth of information related to leisure activities. Most of these websites provide information of each product in various formats depending on different purposes and perspectives. Generally, most of the websites provide the average ratings and detailed reviews of users who actually used products/services, and these ratings and reviews can actually support the decision of potential customers in purchasing the same products/services. However, the existing websites offering information on leisure activities only provide the rating and review based on one stage of a set of evaluation criteria. Therefore, to identify the main issue for each evaluation criterion as well as the characteristics of specific elements comprising each criterion, users have to read a large number of reviews. In particular, as most of the users search for the characteristics of the detailed elements for one or more specific evaluation criteria based on their priorities, they must spend a great deal of time and effort to obtain the desired information by reading more reviews and understanding the contents of such reviews. Although some websites break down the evaluation criteria and direct the user to input their reviews according to different levels of criteria, there exist excessive amounts of input sections that make the whole process inconvenient for the users. Further, problems may arise if a user does not follow the instructions for the input sections or fill in the wrong input sections. Finally, treating the evaluation criteria breakdown as a realistic alternative is difficult, because identifying all the detailed criteria for each evaluation criterion is a challenging task. For example, if a review about a certain hotel has been written, people tend to only write one-stage reviews for various components such as accessibility, rooms, services, or food. These might be the reviews for most frequently asked questions, such as distance between the nearest subway station or condition of the bathroom, but they still lack detailed information for these questions. In addition, in case a breakdown of the evaluation criteria was provided along with various input sections, the user might only fill in the evaluation criterion for accessibility or fill in the wrong information such as information regarding rooms in the evaluation criteria for accessibility. Thus, the reliability of the segmented review will be greatly reduced. In this study, we propose an approach to overcome the limitations of the existing leisure activity information websites, namely, (1) the reliability of reviews for each evaluation criteria and (2) the difficulty of identifying the detailed contents that make up the evaluation criteria. In our proposed methodology, we first identify the review content and construct the lexicon for each evaluation criterion by using the terms that are frequently used for each criterion. Next, the sentences in the review documents containing the terms in the constructed lexicon are decomposed into review units, which are then reconstructed by using the evaluation criteria. Finally, the issues of the constructed review units by evaluation criteria are derived and the summary results are provided. Apart from the derived issues, the review units are also provided. Therefore, this approach aims to help users save on time and effort, because they will only be reading the relevant information they need for each evaluation criterion rather than go through the entire text of review. Our proposed methodology is based on the topic modeling, which is being actively used in text analysis. The review is decomposed into sentence units rather than considering the whole review as a document unit. After being decomposed into individual review units, the review units are reorganized according to each evaluation criterion and then used in the subsequent analysis. This work largely differs from the existing topic modeling-based studies. In this paper, we collected 423 reviews from hotel information websites and decomposed these reviews into 4,860 review units. We then reorganized the review units according to six different evaluation criteria. By applying these review units in our methodology, the analysis results can be introduced, and the utility of proposed methodology can be demonstrated.

• Water Engineering Research
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• v.2 no.4
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• pp.219-229
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• 2001

Synthetic unit hydrograph equations for rainfall run-off characteristics analysis and estimation of design flood have long and quite frequently been presented, the Snyder and SCS synthetic unit hydrograph. The major inputs to the Snyder and SCS synthetic unit hydrograph are lag time and peak coefficient. In this study, the methods for estimating lag time and peak coefficient for small watersheds proposed by Zhao and McEnroe(1999) were applied to the Kum river basin in Korea. We investigated lag times of relatively small watersheds in the Kum river basin in Korea. For this investigation the recent rainfall and stream flow data for 10 relatively small watersheds with drainage areas ranging from 134 to 902 square kilometers were gathered and used. 250 flood flow events were identified along the way, and the lag time for the flood events was determined by using the rainfall and stream flow data. Lag time is closely related with the basin characteristics of a given drainage area such as channel length, channel slope, and drainage area. A regression analysis was conducted to relate lag time to the watershed characteristics. The resulting regression model is as shown below: ※ see full text (equations) In the model, Tlag is the lag time in hours, Lc is the length of the main river in kilometers and Se is the equivalent channel slope of the main channel. The coefficient of determinations (r$^2$)expressed in the regression equation is 0.846. The peak coefficient is not correlated significantly with any of the watershed characteristics. We recommend a peak coefficient of 0.60 as input to the Snyder unit-hydrograph model for the ungauged Kum river watersheds

• Korean Journal of Adult Nursing
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• v.28 no.3
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• pp.266-278
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• 2016

Purpose: The purpose of this study was to identify the effects of reinforced walking exercise on dyspnea-fatigue symptoms, daily activities, walking ability and health related quality of life (HRQoL) in heart failure patients. Methods: This study used a randomized controlled trial design. The participants (experimental group=16, control group=25) were recruited from a university hospital in Kyeong-nam area. Data were collected from March to September, 2015. The reinforced walking exercise included goal setting and feedback (telephone and text message) provided for 12 weeks. Dyspnea-Fatigue Index, Korean Activity Scale/Index (KASI), six-minute walking distance (6MWD) and HRQoL were measured. Data were analyzed using descriptive statistics, t-test, Fisher's exact test, $x^2$ test, and Kolmogrove-Smirnov test. Results: Prior to the intervention there were no differences in the research variables between two groups. The exercise compliance in the experimental group was 100% (walking for 50 minutes per day, 5 times per week). The experimental group had improved dyspnea-fatigue symptoms (t=8.63, p<.001), daily activities (t=-4.92, p<.001), longer 6MWD (t=-5.66, p<.001), and increased HRQoL (t=-9.05, p<.001) compared to the control group. Conclusion: The reinforced walking exercise could be a cost-effective intervention in heart failure patient, which could enhance patients' outcomes, such as improving dyspnea-fatigue symptoms, daily activities, walking ability, and quality of life.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.24 no.1
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• pp.183-193
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• 2014

Korean personal data(information) protection law requires privacy policies post on every website. According to recent survey results, users' interests on these policies are low due to these policies' low readability and accessibility. This study proposes a layout that effectively conveys online privacy policy contents, and assesses its impact on information understandability, vividness, and recognition of users. Studies on privacy policies and layouts, media richness theory, social presence theory, and usability are used to develop the new layered approach. Using experiments, three major layouts are evaluated by randomly selected online users. Research results shows that information understandability, vividness, and recognition of privacy policies in the revised-layered approach are higher than those of in the text-only or table-based layouts. This study implies that employing visual guides like icons on privacy policy layouts may increase users' interest in those policies.

• Journal of Digital Convergence
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• v.18 no.6
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• pp.311-321
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• 2020

The purpose of the study is to verify the effectiveness the Freshman Preliminary Health Administrators(FPHA)' Empathic Problem Solving Ability(EPSA) through the application of Medical Service Design Thinking(MSDT) conducted by undergraduate school of SNS hospital marketing education. The pre-post questionnaire survey was conducted on 39 students in the freshman year of the Department of Health Administration after applying MSDT for 15 weeks from September to December, 2019 at a college in Daegu. MSDT was positive influenced on the improvement of Empathic Imagine, Empathic interest, Empathic awakening of the FPHA' EPSA. In the analysis of key common words, the use of neutral and negative words was low, while the use of positive words was high. In order to systematically equip Empathic problem solving job competency in the age of artificial intelligence, it is meaningful to develop a program for the freshmen curriculum and to conduct a analysis of the structured and unstructured data to verify its effectiveness. Additional program development research is needed for the application of theoretical subjects.

• Journal of Korea Multimedia Society
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• v.12 no.7
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• pp.893-902
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• 2009

Many People are collecting and managing variable information(Image, Graphic, Animation, Text, music files etc.) about personal interests and holding them in common. Most users are using Microsoft Explorer to make a folder and classify many files. but It's difficult to understand the relation of the data instinctively. To resolve this problem, we adopt information visualization method (especially tree-graph control interface). We suggest an interface that all user can drawing a Graph easily and rapidly. So user can see the relations of their data instinctively and control the relation directly with our sketch-based interface.

• The Journal of the Korea Contents Association
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• v.17 no.6
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• pp.239-249
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• 2017

This ethnography was done to understand the daily lives and life values of the experience of middle-aged women with Hwabyung. It also focused on how they reorganized their lives to escape their crisis and how they continued living going forward. The participants were 5 middle-aged women with Hwabyung and 2 family members in K city. Data were collected from iterative fieldwork through in-depth interviews and participant observations. Data were analyzed using text analysis and taxonomic method. The reorganization of the everyday lives of participants with Hwabyung started from the perception of family values and the crisis of those values failing. The participants' everyday lives were reconstructed by changing their perspectives on life, and renewing their family relationships. In addition, middle-aged women with Hwabyung managed to cope with their own roles, fill in for the role of husband, and reinforce their capacities. Their children' attitudes and behaviors were also reshaped due to the rearrangement of family roles. These results may help nurses understand and provide culture specific care for the middle-age women with Hwabyung.

• The Journal of Society for e-Business Studies
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• v.9 no.1
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• pp.21-38
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• 2004

With its recent popularity, Web is now considered as a huge repository of information. Most documents on the web have been created using HTML(Hyper Text Markup Language). Even though HTML is simple and easy to learn, it has several features that are obstacles to the efficient information retrieval. XML(eXtensible Markup Language) can provide a solution to such problems and in fact, has already been used in many applications, XML is a standard markup language for exchanging data on the web. It can describe a document structure freely by defining its DTD, which enables efficient integration and retrieval of data on the web. In this paper, we propose a versatile and efficient XML document manager. Its features include (i) form-based XML editor that enables easy creation of new XML documents, (ii) automatic document converter that can transform HTML documents with similar structure into XML documents automatically, and (iii) GUI-based DTD editor.