• Journal of the Korea Society of Computer and Information
• /
• v.28 no.4
• /
• pp.133-142
• /
• 2023

National parks are one of the important types of protected area management systems established by IUCN and a management model for implementing effective conservation and sustainable use of natural and cultural heritage in countries around the world, and they assume important roles in conservation, scientific research, education, recreation and driving community development. In the context of big data, this study takes China's Liaohe National Park, a typical representative of global coastal wetlands, as a case study, and using Python technology to collect tourists' travelogues and reviews from major OTA websites in China as a source. The text spans from 2015 to 2022 and contains 2998 reviews with 166,588 words in total. The results show that wildlife resources, natural landscape, wetland ecology and the fishing and hunting culture of northern China are fully reflected in the perceptions of visitors to Liaohe National Park; visitors have strong positive feelings toward Liaohe National Park, but there is still much room for improvement in supporting services and facilities, public education and visitor experience and participation.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2022.05a
• /
• pp.212-215
• /
• 2022

In the era of so-called digital transformation today, the need for the construction and utilization of big data in various fields has increased. Today, a lot of data is produced and stored in a digital device and media-friendly manner, but the production and storage of data for a long time in the past has been dominated by print books. Therefore, the need for Optical Character Recognition (OCR) technology to utilize the vast amount of print books accumulated for a long time as big data was also required in line with the need for big data. In this study, a system for digitizing the structure and content of a document object inside a scanned book image is proposed. The proposal system largely consists of the following three steps. 1) Recognition of area information by document objects (table, equation, picture, text body) in scanned book image. 2) OCR processing for each area of the text body-table-formula module according to recognized document object areas. 3) The processed document informations gather up and returned to the JSON format. The model proposed in this study uses an open-source project that additional learning and improvement. Intelligent OCR proposed as a system in this study showed commercial OCR software-level performance in processing four types of document objects(table, equation, image, text body).

• Korean Association of Arts Management
• /
• no.50
• /
• pp.5-31
• /
• 2019

The main purpose of this study was to use Deep Learning based Topic Modeling and Semantic Network Analysis to examine research trend of arts management-related papers in korea. For this purpose, research subjects such as 'The Journal of Cultural Policy', 'The Journal of Cultural Economics', 'The Journal of Culture Industry', 'The Journal of Arts Management', and 'The Journal of Human Content', which are the registered journal of the National Research Foundation of Korea directly or indirectly related to arts management field. From 1988 to 2017, a total of 2,110 domestic journals' signature, abstract, and keyword were analyzed. We tried Big Data analysis such as Topic Modeling and Semantic Network Analysis to examine changes in trends in arts management. The analysis program used open software R and standard statistical software SPSS. Based on the results of the analysis, the implications and limitations of the study and suggestions for future research were discussed. And the potential for development of convergent research such as Arts & Artificial Intelligence and Arts & Big Data.

• The Journal of the Convergence on Culture Technology
• /
• v.10 no.3
• /
• pp.209-217
• /
• 2024

The purpose of this study is to explore development plans by analyzing social interests and perceptions of jiu-jitsu using big data analysis. Network analysis, centrality analysis, and CONCOR analysis were conducted by collecting data for the last 10 years of major domestic portal sites. First, 'judo' was found to be the most important related word in network analysis, and 'judo' was also an important word in the analysis of dgree centrality. In the closeness centrality analysis, "defender" was the most important word, and "sports" was the most important word in betweenness centrality. Finally, as a result of CONCOR analysis, four clusters (related sports and marketing, jiu-jitsu competitions, belt test, supplies and expenses) were formed. As a conclusion of the study, first, words such as 'judo', 'exercise', 'competition', 'dobok', 'gym', and 'graduation' should be actively used to promote jiu-jitsu.As a conclusion of the study, first, words such as 'judo', 'exercise', 'contest', 'dobok', 'gym', and 'graduation' should be actively used to promote jiu-jitsu. Second, it is necessary to share information on training costs through various routes, to make awareness of the graduation process or method common, and to develop safety products and create a safe training culture. Third, it is necessary to find ways to continuously increase the influx of new trainees by attracting steady competitions.

• 제어로봇시스템학회:학술대회논문집
• /
• 2004.08a
• /
• pp.1444-1447
• /
• 2004

The vacuum-cleaner had made the burden of house chore lighten but the operation labour of a vacuum-cleaner had been so severe. Recently, the cleaning robot was producted to perfectly solve the cleaning labour of a house but it also was not successful because it still had a problem of mess-cleaning, which is the clean-up of big trash and the arrangement of newspapers, clothes, etc. The cleaning robot is to just vacuum dust and small trash and has no function to arrange and take away before the automatic vacuum-cleaning. For this reason, the market for the cleaning robot is not yet built up. So, we need a design method and technological algorithm of new automatic machine to solve the problem of mess-cleanup in house. In this paper, a Home Mess-Cleanup Robot(HMR), which has a practical function of the automatic mess-cleanup, is developed. It need functions of agile automatic navigation, novel manipulation system for mess-cleanup. The automatic navigation system has to be controlled for the full scanning of living room, to recognize the absolute position and orientation of the self, the precise tracking of the desired path, and to distinguish the mess object to clean-up from obstacle object to just avoid. The manipulation system, which is not needed in the vacuum-cleaning robot, must have the functions, how to distinguish big trash to clean from mess objects to arrange, how to grasp in according to the form of mess objects, how to move to the destination in according to mess objects and arrange them. Then, it should be an intelligent system so that the mess cleaning task can be autonomously performed in a wide variety of situations and environments. It need to also has the entertainment functions for the good communication between the human and HMR. Therefore, the Home Mess-cleanup Robot with Entertainmental Human Interface is developed in this paper. Finally, the good performance of the designed machine, HMR'4, is confirmed through the results of the mess clean-up and arrangement.

• Journal of the Korea Institute of Building Construction
• /
• v.17 no.2
• /
• pp.199-209
• /
• 2017

The measurement of business performance is important to secure the competitiveness of construction companies. Therefore, the purpose of this study is to analyze what is needed to increase the competitiveness of small & medium construction companies. In order to analyze efficiently, this study reconfirms the effectiveness of Key Performance Indicators(KPI) of construction companies selected from previous studies. The empirical analysis to find differences of KPI between small & medium construction companies and big construction companies is performed using the 4,286 construction company samples extracted by 'KIS-Value Data Base'. The results of the empirical analysis show that there are significant differences in characteristics of KPI between small & medium construction companies and big construction companies. Particularly, small & medium construction companies are relatively insufficient to invest for the purpose of preparation for future and long-term growth. Additionally, empirical tests reconfirm that most of the KPIs from previous survey studies are suitable as a performance indicators. The contribution of this study is to analyze empirically small & medium construction company's strong & weak points and the effectiveness of KPIs derived from previous studies.

• Journal of Convergence for Information Technology
• /
• v.7 no.1
• /
• pp.87-92
• /
• 2017

This paper discusses the possibility of enhancing the efficiency in Second Language Learning with the help of an educational information and content search system that utilizes a Cloud system based Big Data. The proposed system plays a role in tracing the exact information that user request considering the interest, level, and aptitude of each individual. Also, the system screen outs unnecessary learning materials if they do not correspond to the user level which in result is one of the key factor in the proposed system. Since it requires multiple steps of verification in providing the extracted results finding out a way to reduce the steps to shorten the time of process.

• Research in Community and Public Health Nursing
• /
• v.19 no.3
• /
• pp.378-387
• /
• 2008

Purpose: The purposes of this study were to investigate factors related to the depression of the elderly dwelling in a big city, and to explore the influence of physical health, cognitive symptom and nutritional status on the elders' depression. Methods: After the approval of the Institutional Review Board (IRB) and obtaining the participants' consent form, a face to face and private interview was conducted with each participant from Mar, 2007 to Aug, 2007 by trained graduate level students. A total of 201 elders aged over 65 years participated in the study. The questionnaire consisted of K GDS, PHQ 15 and Nutritional Screening Initiative (NSI). Collected data were analyzed with the SPSS 13.0 program, which was used for frequency, percentage, mean, standard deviation, Pearson correlation coefficients, and multiple regression. Results: The major findings of this study were as follows. 1) 28.4% of the subjects belonged to the depression group, 78.1% had one or more diseases, 85.6% had experienced somatic symptoms, and 49.7% belonged to the nutritional risk group. 2) Older age, lower educational level, more pocket money a larger number of diseases, more severe cognitive symptoms and poorer nutritional status were significantly related to a higher depression score. 3) Significant factors influencing depression were nutritional status, cognitive symptoms and the number of diseases, which explained 38.1% of the variance of elderly depression, and nutritional status was the most influencing factor. Conclusion: The finding of this study gives useful information for developing assessment tools and interventions for elders' depression.

• The Mathematical Education
• /
• v.56 no.3
• /
• pp.319-340
• /
• 2017

The purpose of this study is to develop teaching and learning materials for the mathematics project inquiry subject. Since this subject is newly opened in the 2015 revised mathematics curriculum, there are no textbooks and materials. Hence it is required to help teachers plan lessons of the mathematics project inquiry subject. For this study, developing directions and objectives are established. Ten hours of lesson plan and teaching and learning materials are also developed for the two themes of 'big data' and 'industrial mathematics'. Suitability and validity of the developed material are verified positively from a survey of 8 teachers and 2 professionals. The detailed result findings are as follows. First, teaching and learning notes are suggested for each lesson plan. They are comprised of building inquiry plan, doing inquiry, summarizing results, and presentation. Second, driving questions of each theme are developed as "What is the big data and where is it used for ?" and "How various is the use of the industrial mathematics ?" respectively. Third, poster-types of each project product are developed. Fourth, three inquiry activity sheets and examples which are theme selection, inquiry plan, and group activity are developed. Fifth, 4 assessment sheets of self, peer, group, and teacher-use are developed.

• Transactions of the Korean Society of Mechanical Engineers A
• /
• v.29 no.5 s.236
• /
• pp.663-670
• /
• 2005

DIN CK35 (JIS S35CK) steels have been used as a material in fuel pump blocks for marine engines. Failures in the inner surface of a drilling hole, due to the initiation of fatigue cracks have been frequently reported. However, the mechanism initiating these cracks and growths has not been clearly diagnosed yet. This study was conducted using a scraped fuel pump block, containing an initiated fatigue crack in the inner surface of a drilling hole. Initially, the cracks and fractured surfaces inside the block were investigated using an optical microscope and a SEM (Scanning Electron Microscope). In addition, microstructure observation, fatigue life test and fatigue crack growth test were performed using a specimen, which was taken from the same block. Results from these tests are summarized as follows; (1) The early crack in the block was supposed to occur inside the inner surface of the drilling hole. (2) The fatigue endurance of this material was about 330 Mpa. (3) The early crack was generated in the cavitations created by the breakdown of a big inclusion, or separation between the big inclusion and the base metal, in which the fundamental ingredients of the inclusion were C, 5, and Mn. (4) In order to prevent these types of failures, the suppression of inclusions inflow by improving the casting process, formation of fine inclusions by applying a heat treatment process, and coating of the surface of the drilling hole were required.