• Journal of the Society of Disaster Information
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• v.19 no.2
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• pp.334-343
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• 2023

Purpose: In this study, the cavity data found through ground cavity exploration was combined with underground facilities to derive a correlation, and the ground subsidence prediction map was verified based on the AI algorithm. Method: The study was conducted in three stages. The stage of data investigation and big data collection related to risk assessment. Data pre-processing steps for AI analysis. And it is the step of verifying the ground subsidence risk prediction map using the AI algorithm. Result: By analyzing the ground subsidence risk prediction map prepared, it was possible to confirm the distribution of risk grades in three stages of emergency, priority, and general for Busanjin-gu and Saha-gu. In addition, by arranging the predicted ground subsidence risk ratings for each section of the road route, it was confirmed that 3 out of 61 sections in Busanjin-gu and 7 out of 68 sections in Sahagu included roads with emergency ratings. Conclusion: Based on the verified ground subsidence risk prediction map, it is possible to provide citizens with a safe road environment by setting the exploration section according to the risk level and conducting investigation.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.23 no.2
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• pp.119-131
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• 2024

Understanding accurate traffic performance is crucial for ensuring efficient highway operation and providing a sustainable mobility environment. On the other hand, an immediate and precise estimation of highway traffic performance faces challenges because of infrastructure and technological constraints, data processing complexities, and limitations in using integrated big data. This paper introduces a framework for estimating traffic performance by analyzing real-time data sourced from toll collection systems and dedicated short-range communications used on highways. In particular, this study addresses the data errors arising from segmented information in data, influencing the individual travel trajectories of vehicles and establishing a more reliable Origin-Destination (OD) framework. The study revealed the necessity of trip linkage for accurate estimations when consecutive segments of individual vehicle travel within the OD occur within a 20-minute window. By linking these trip ODs, the daily average highway traffic performance for South Korea was estimated to be248,624 thousand vehicle kilometers per day. This value shows an increase of approximately 458 thousand vehicle kilometers per day compared to the 248,166 thousand vehicle kilometers per day reported in the highway operations manual. This outcome highlights the potential for supplementing previously omitted traffic performance data through the methodology proposed in this study.

• Journal of Korean Library and Information Science Society
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• v.50 no.4
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• pp.359-379
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• 2019

This study aims to suggest the ways to reinforce academic library's supports for users' class·learning activities. For this purpose, this study collected the development plans of academic libraries in Korea, and analysed the plans for supporting class·learning activities. As a result, it is shown that the most libraries emphasized 'expansion of learning material' and marked it on development plan. As subsequent plans, libraries provided the action plans of 'expansion of reading education and reading programs', 'expansion of electronic materials', 'expansion of characterized materials' one after another. This study suggests 'user-centered collection development and expansion of learning materials', 'activation of library services making use of big data', 'enlargement of engagement services for handicapped and foreign students' as ways to strengthen the services of academic libraries to support class·learning activities of users.

• The Journal of Korean Physical Therapy
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• v.13 no.3
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• pp.643-651
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• 2001

Osteoarthritis(OA) is a widespread, slowly developing disease with a high prevalence rate increasing with age. The most common big joints involved in OA is the knee, where the disease particulary strikes, causing difficulties in rising from a chair. climbing stairs, kneeling. standing, and walking. The primary complaints of these patients include pain, stiffness. instability, and loss of function. The purpose of this study was to assess the impact of self-reported symptoms and limited flexion, and limited extension on functional impairment in patients with knee osteoarthritis. In the data collection, a total of 206 who had visited the physiotherapy unit at six different departments of orthopedics were interviewed in K City from June to September, 2000. The results of the study summarized are as fellows: 1. There was a significant difference among different degree group of limited flexion(p<0.05). A group difference was demonstrated between <5 ${\sim}$ 15 and 16 > (F=16.21, p<0.05). In the relationship between the degree of limited flexion and the level of functional impairment, the h igher the range of limited flexion, the lower the level of functional impairment. 2. In the relationship between the degree of limited extension and the level of functional impairment, a group difference was revealed between the non-limitation group and the <10 and 11 < However, no significant difference was noted between 11 ${\sim}$ 20 and 21 >(F= 13.37, p<0.05). In conclusion, finding above suggest that functional impairment is closely correlated with limited tlexion and extenion

• Journal of the Korean Society for Library and Information Science
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• v.44 no.4
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• pp.413-433
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• 2010

The purpose of this study is to portray the current condition of digital reading rooms in public libraries in specific terms of information resource constituencies. With the growth in numbers of public libraries in Korea, emphasis was also put on digital information services using digital reading rooms in public libraries. However, it is also recognized that these digital reading rooms are merely traditional reading rooms with equipment. In this regard, the objective for the study was to identify and describe the types of electronic information resources in order to determine the rationale for the development of digital information resource management in public libraries. The focus was especially put on investigating the quality and the degree of perceived importance of electronic resources. Data for this case study was collected from four relatively big public libraries in three cities. The investigation was conducted by the document reviews and surveys and interviews with librarians and patrons. The study found that digital resource management should be put on a new stage, especially in terms of education and reliable information for the regional community. The study also added some suggestions for the future development and refinement of electronic resource management in public libraries.

• Journal of Convergence for Information Technology
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• v.10 no.4
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• pp.18-24
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• 2020

Recently, research on Society 5.0 has been actively carried out in Japan. The Society 5.0 is used in various areas using IoT sensors. This paper proposes a privacy approach model of multiple approaches to IoT users based on Society 5.0. The proposed model used multiple methods of synchronizing important information of IoT devices with one another in the virtual environment. The proposed model improved the efficiency of IoT information by accumulating the weight of IoT information on a probability-based basis. Further, it improves the accuracy of IoT information by segmenting it so that attribute information is linked to IoT information. As a result of the performance evaluation, the efficiency of IoT devices has improved by an average of 5.6 percent, depending on the number of IoT devices and the number of IoT hub devices. Accuracy has improved by an average of 15.9% depending on information collection and processing.

• Journal of the Korea Fashion and Costume Design Association
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• v.15 no.1
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• pp.91-109
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• 2013

The main objective of this research was to understand the latest trends of natural print design through the quantitative & qualitative analysis of fashion appeared in contemporary female collections. The research criteria was defined as 3 seasons from 2011 S/S to 2012 S/S. Data collection of 726 was done through review of 'pr$\hat{e}$t-$\grave{a}$-porter Collections' of three major fashion cities; Paris, Milan and NY. Statistical analysis of frequency with chi-square test was conducted. Also qualitative interpretation of natural print design' characteristics was completed. The main findings were as follows.; The average occurrence rate of natural print design from 2011SS to 2012 SS in three collections were 6.4% in Milan 6.4%, 5.5% in Paris and 6.8% in N.Y. The five source types of natural prints in contemporary women's fashion collections were identified and the order of their appearance were as follows: flowers, plants, animals, insects & marine organisms and compound one. The plant prints were expressed by stylized or realistic touch. Flower patterns showed more variables than plants, however, there were no big difference in their image and major characteristics. The animal prints demonstrated two aspects. First one used typical animal print of fur or skin, but the other one draw the animal figure like paintings. The compound source type presented the most interesting and fresh pattern design ideas. In the insects & marine organisms, mainly butterfly and seashell & starfish, etc. appeared as real shapes or sometimes were stylized.

• International Journal of Contents
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• v.17 no.1
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• pp.37-53
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• 2021

With the advent of the 5G era, smart phones and communications network technology have progressed, and mobile short video of people's life can be made, Of the new tools of communication, at present, China's social short video industry has shown rapid development, and the most representative of the short video app is Douyin (international version: Tiktok). Under the background of Uses and Gratifications Theory, this study discusse the relationship between Douyin users' preference degree, use motivation, use satisfaction and attention intention. This study divides the content of Douyin video into 10 categories, selects the form of an online questionnaire survey, uses SPSS software to conduct quantitative analysis of 202 questionnaires after screening, and finally draws the following conclusions: (1) The content preference degree of Douyin short video (the high group and low group) is different in users' use motivation, users' satisfaction degree and users' attention intention. ALL results are within the range of statistical significance.(2) Douyin users' video content preference degree has a positive impact on users' use motivation, users' satisfaction degree, and users' attention intention. (3) Douyin users' motivation has a positive impact on users' satisfaction and user' attention intention. (4) Douyin users' satisfaction degree has a positive impact on users' attention intention. Based on the research results, we suggest that Douyin platform pushes videos according to users' preferences. In addition, as the preference degree has an impact on users' motivation, satisfaction degree and attention intention of using the platform, it is important that the platform's focus should to pay attention to the preference degree of users. Collecting users' preferences at the early stage of users' entering the platform is a good way to learn from, and doing a good job of big data collection and management in the later operation.

• Journal of the Korean Society for Library and Information Science
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• v.57 no.3
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• pp.71-96
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• 2023

This study aimed to investigate key research areas in the field of Library and Information Science (LIS) by analyzing trends and identifying emerging topics. To facilitate the research, a collection of 40,897 author keywords from 11,252 papers published in the past 30 years (1993-2022) in five journals was gathered. In addition, keyword analysis, as well as Principal Component Analysis (PCA) and correlation analysis were conducted, utilizing variables such as the number of articles, number of authors, ratio of co-authored papers, and cited counts. The findings of the study suggest that two topics are likely to develop as promising research areas in LIS in the future: machine learning/algorithm and research impact. Furthermore, it is anticipated that future research will focus on topics such as social media and big data, natural language processing, research trends, and research assessment, as they are expected to emerge as prominent areas of study.

• Journal of the Korea Organic Resources Recycling Association
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• v.9 no.4
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• pp.117-124
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• 2001

This study was executed for utilizing it as basic data in appropriate recycling way and design by examining and analyzing various characteristics of food waste which is being discharged from various restaurant and apartment house. In general, there were differences in restaurants classification and Japanese restaurant showed big differences as compared to other restaurants. Vegetable had the highest composition and its contents had big difference according to seasons. In alien substances, oyster shells were the highest and restaurants showed high rate of alien substances than apartments, therefore it was required to divide them in advance. Salinity was the highest in Japanese restaurants and most restaurants had rate of up to 1%, so it was not appropriate for recycling. However, it was considered that if there is cleaning operation in the whole process, there might not be a problem. Feed Ingredient had 28% of fiber, 25% of protein, and 11% of fats. We analyzed noxious germs and heavy metal too. However microorganisms of etiological cause were not detected and each harmful material showed less values of control concentration. In the result of analysis of each characteristic, it is required to consider collection rate from restaurants and apartments and seasonal cause into design regarding recycling. And apartments are compatible to compost than feed and food waste from Chinese, flour restaurant and collective feeding facilities are compatible for feed, as it is evaluated.