• Journal of Korea Fishing Vessel Association
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• v.16
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• pp.40-44
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• 1983

• Journal of Korea Fishing Vessel Association
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• v.41
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• pp.27-34
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• 1989

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2023.05a
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• pp.148-149
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• 2023

우리나라에서는 매년 2천여 건 이상의 해양사고가 발생하고 있으며, 정부는 해양사고의 발생 현황 및 원인분석을 통해 사고 저감을 위한 정책을 수립하고 있다. 중앙해양안전심판원에서는 '해양사고심판법'에 따라 해양사고의 원인을 조사하여 이를 재결서의 형태로 공개하고 있다. 이번 연구에서는 재결서의 원인판단 주제어를 기반으로 텍스트 마이닝을 수행하여 사고 종류별 해양사고 위험요인을 식별하였다. 도출된 키워드는 해양사고의 발생 원인과 밀접한 관계가 있는 키워드로 볼 수 있으므로, 해양사고의 원인분석 및 사고 예방대책 수립에 활용될 수 있을 것으로 전망된다.

• 공원문화
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• s.41
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• pp.23-27
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• 1988

1967년 우리나라에 국립공원제도가 도입실시된 이래 20년동안 전국의 국립공원은 주무부처인 건설장관으로부터 각시.도지사가 관리권을 위임받아 해당 시장.군수에 의해 실질적으로 관리돼 왔었다. 1970.9.9 설악산, 1980.8.8. 내장산 그밖의 자연공원에 케이블카가 시설된것도 잘아는 일, 또한 탐방객이 많은 공원일수록, 심지어 대가람의 코밑에까지 집단시설등 용도지구가 설계되고 용돼 왔다. 내장산의 내장사 지구의 경우는 12년전 관리소에서 2.7km 떨어진 아래로 집단시설지역을 변경, 강제이주시킨후 그자리에 "케블카" 를 시설했고, 철거된 잔디녹지가 음성적인 상가로 둔갑되어가도 관리소로선 잡상근절책을 세우지 못한채 작년 8월 국립공원관리공단에 인도됐다. 이와 같이 대부분의 공단관리소들은 지자단분가 물려준 어려운 숙제를 넘겨받아 큰시련을 겪고 있다. 그당시는 심묵또는 양해가 됐던 똑 같은 문제도 공단이 관리를 맡은이후 부터는 몹시 따갑게 비판해 오고 있다. 사사건건제동을 걸고 있는듯 하기고 하고 어차피 해결해야할 문제들도 많아 노출된 것부터 하나하나 단편적일지라도 파고들어 소리의 진의를 듣고 냉정한 대비책을 세워야 한다고 본다.

• Korean journal of applied entomology
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• v.60 no.2
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• pp.155-165
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• 2021

There are 18,638 insect species recorded in Korea, representing 35.4% of Korean Biodiversity (52,628). In this study, we classified Korean common name into 11 categories (color, size, shape, plant, location, ecology, foreign language, personal name, native, physiology, positive/negative) and assigned every species into each categories and researched the meaning of Korean common names. We conducted further analysis on 506 cases of hate speech (disability, racial·regional·appearance discriminations). Also we analyzed 508 cases of Japanese expressions (person's name, place name, Japanese language), and proposed alternative words in case of inappropriate usages.

• Proceedings of the Korean Society of Fisheries Technology Conference
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• 2001.05a
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• pp.469-470
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• 2001

경남 통영 안정만은 북동쪽으로 진해만과 연결되어 있고, 고성 당동만과 가조도 서쪽 어의도, 수도, 지도 둥의 섬으로 둘러 쌓인 반폐쇄성 내만으로서 굴, 피조개 등 패류양식이 주로 행해지고 있어 유기물 오염이 심각한 해역으로 해양수산부에 의해 특별관리어장으로 지정되어 현재 어장정화사업이 시행되고 있다. 본 조사는 이 해역의 해양생태계 조사를 통해 공단조성이 해양생태계에 미치는 영향을 파악하는데 그 목적이 있다. (중략)

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.21 no.6
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• pp.36-56
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• 2022

Traffic accidents occur in Korea are calculated with the 「Automobile Accident Negligence Ratio Certification Standard」 prepared by the 'General Insurance Association of Korea' and the insurance company's agreement or judgment is made. However, disputes are frequently occurring in calculating the negligence ratio. Therefore, it is thought that a more effective response would be possible if accident type according to the standard could be quickly identified using traffic accident information prepared by police. Therefore, this study aims to develop a model that learns the accident information prepared by the police and classifies it to match the accident type in the standard. In particular, through data mining, keywords necessary to classify the accident types of the standard were extracted from the accident data of the police. Then, models were developed to derive the types of accidents by learning the extracted keywords through decision trees and random forest models.

• Journal of Digital Convergence
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• v.16 no.11
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• pp.1-15
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• 2018

The purpose of this study is to analyze bibliographic information of Busan and other cities' reports for urban development initiative and identify the strategic fields for future smart city plan. Text mining method is used in this study to extract keywords and identify the characteristics and patterns of information in urban development reports. As a result, in earlier stage, Busan city focused on service creation for industrial development but there are lack of discussions on the linkage of information systems with ICT technology. However, recent urban planning in Busan contained various contents related to integrated connections of infrastructure, ICT system, and operation management of city in the specific fields of traffic, tourism, welfare, port/logistics, culture/MICE. This results of study is expected to provide policy implications for planning the future urban initiatives of smart city development.

• Journal of Korean Society of Archives and Records Management
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• v.24 no.2
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• pp.65-88
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• 2024

This pilot study explores a method of extracting metadata values and descriptions from records using named entity recognition (NER), a technique in natural language processing (NLP), a subfield of artificial intelligence. The study focuses on handwritten records from the Guro Industrial Complex, produced during the 1960s and 1970s, comprising approximately 1,200 pages and 80,000 words. After the preprocessing process of the records, which included digitization, the study employed a publicly available language API based on Google's Bidirectional Encoder Representations from Transformers (BERT) language model to recognize entity names within the text. As a result, 173 names of people and 314 of organizations and institutions were extracted from the Guro Industrial Complex's past records. These extracted entities are expected to serve as direct search terms for accessing the contents of the records. Furthermore, the study identified challenges that arose when applying the theoretical methodology of NLP to real-world records consisting of semistructured text. It also presents potential solutions and implications to consider when addressing these issues.

• Journal of Society of Occupational Therapy for the Aged and Dementia
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• v.12 no.2
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• pp.67-74
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• 2018

Objective : The purpose of this study is to quantitatively analyze the role of occupational therapy in long - term care insurance for the elderly using text mining, one of the big data analysis techniques. Method : For the analysis of newspaper articles, "Long - Term Care Insurance for the Elderly + Occupational Therapy for the Elderly" was collected after the period from 2007 to 208. Naver, which has a high share of the domestic search engine, utilized the database of Naver News by utilizing Textom, a web crawling tool. After collecting the article title and original text of 510 news data from the collection of the elderly long term care insurance + occupational therapy search, we analyzed the article frequency and key words by year. Result : In terms of the frequency of articles published by year, the number of articles published in 2015 and 2017 was the highest with 70 articles (13.7%), and the top 10 terms of the key word analysis showed the highest frequency of 'dementia' (344) In terms of key words, dementia, treatment, hospital, health, service, rehabilitation, facilities, institution, grade, elderly, professional, salary, industrial complex and people are related. Conclusion : In this study, it is meaningful that the textual mining technique was used to more objectively confirm the social needs and the role of the occupational therapist for the dementia and rehabilitation in the related key keywords based on the media reporting trend of the elderly long - term care insurance for 11 years. Based on the results of this study, future research should expand research field and period and supplement the research methodology through various analysis methods according to the year.