• 제목/요약/키워드: BigKinds

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초.중등학교 교육과정의 환경교육 연계성 연구 (A study on the environmental terminology used in the environmental textbooks of the Middle and high schools of Korea)

  • 이동엽;이선경
    • 한국환경교육학회지:환경교육
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    • 제10권2호
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    • pp.101-120
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    • 1997
  • The objective of this research is to understand the current field and composition of environment related terminology used in middle and high school textbooks, to find out uniformity and relationship between them, and development for the future establishement and replacement in the environmental education, simultaneously. The results of this study are as follows: 1. The terms used in middle school textbooks were found out to be 334, while those used in high school were 717. Total terms used were 870(759 kinds) and those recorded in the environmental terminology dictionary were 362 including synonyms. 2. Of those 870, 211 terms (24.25%) which were the same words have been used in interlinked connection with the Middle and High schools. While 136 terms(15.63%) have been used in the only middle, and 524 terms(60.23%) have been used in the only high schools. In middle and high school environmental text books 211 (24.25%) terms were the same interlinked terms. Of those extracted terms, 136(15.63%) were used in the middle school 'environmental' textbooks and in high school, 524(60.23%) were used in 'environmental science' book. These results shows that there is big gap between middle and high school contents and we will need more consideration in selecting the terms and better substance. 3. The same terminologies used in both middle and high schools were total number of 676. In those terms 257 kinds(76.26%) were used in middle school 'environmental' text books, and 563 kinds(78.52%) in high school 'environmental science' text books. Here are some details : 1) Terms used as same meaning but different in expression in middle school: 83 kinds, 192 terms (11.99%). 2) Differently expressed in the same text book : in middle school - 20 kinds(2.64%) in high school - 61 kinds(8.04%) 3) Differently expressed terms between middle and high school: 51 kinds(6.72%) 4) Same meaning in 3 expressions or more : 19 kinds 4. Of the examined terms 362(including 43 synonyms) were defined in environmental dictionary which is 41.8% of the total words. In the future specialization in utmost fields will be needed 5. When dividing those examined terms according to the middle and high school curriculum, the most terms were used in nature and pollution fields following environmental preserving, artificial environment, and environmenatal counterplan. In middle schools the most used terms were in the field of environment pollution, preservation, counterplan, and sanitation. These results reflects the education goals and objectives of middle schools. But for the middle school 'environment' curriculum moret uniform distribution are needed and for the high schools' 'environmental science' program, the fields in artificial environment, industrization, urbanization, and sanitation should be intensified.

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중.고등학교 환경 교과서에 사용된 환경 용어에 관한 연구

  • 장미정
    • 한국환경교육학회지:환경교육
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    • 제10권2호
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    • pp.121-132
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    • 1997
  • The objective of this research is to understand the current field and composition of environment related terminology used in middle and high school textbooks, to find out uniformity and relationship between them, and development for the future establishement and replacement in the environmental education, simultaneously. The results of this study are as follows: 1. The terms used in middle school textbooks were found out to be 334, while those used in high school were 717. Total terms used were 870(759 kinds) and those recorded in the environmental terminology dictionary were 362 including synonyms. 2. Of those 870, 211 terms(24.25%) which were the same words have been used in interlinked connection with the Middle and High schools. While 136 terms(15.63%) have been used in the only middle, and 524 terms(60.23%) have been used in the only high schools. In middle and high school environmental tort books 211 (24.25%) terms were the same interlinked terms. Of those extracted terms, 136(15.63%) were used in the middle school 'environmental' textbooks and in high school, 524(60.23%) were used in 'environmental science' book. These results shows that there is big gap between middle and high school contents and we will need mere consideration in selecting the terms and better substance. 3. The same terminologies used in both middle and high schools were total number of 676. In those terms 257 kinds(76.26%) were used in middle school 'environmental' text books, and 563 kinds(78.52%) in high school 'environmental science' text books. Here are some details : 1) Terms used as same meaning but different in expression in middle school : 83 kinds, 192 terms(11.99%). 2) Differently expressed in the same tort book in kiddie school - 20 kinds(2.64%) in high school - 61 kinds(8.04%) 3) Differently expressed terms between middle and high school : 51 kinds(6.72%) 4) Same meaning in 3 expressions or more : 19 kinds 4. Of the examined terms 362(including 43 synonyms) were defined in environmental dictionary which is 41.8% of the total words. In the future specialization in utmost fields will be needed 5. When dividing those examined terms according to the middle and high school curriculum, the most terms were used in nature and pollution fields following environmental preserving, artificial environment and environmenatal counterplan. In middle schools the most used terms were in the field of environment pollution, preservation, counterplan, and santiation. There results reflects the education goals and objectives of middle schools. But for the middle school 'environment' curriculum moret uniform distribution are needed and for the high schools' 'enironmental science' program, the fields in artificial environment, industrization, urbanization, and sanitation should be intensified.

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오적산의 형상의학적 고찰 (Application of Ojuck-san in Hyungsang Medicine)

  • 강경화;강유식;이용태
    • 동의생리병리학회지
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    • 제18권2호
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    • pp.389-395
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    • 2004
  • Conclusion are drawn from the clinical cases susceptible to Ojuck-san(吳積散) in Hyungsang medicine, as follows ; Ojuck-san is effective to those diseases caused by cold and damp(寒濕). Because cold and damp belongs to Yin pathogeny, Ojuck-san is mainly applied to Yin syndrome of Bangkwang type persons. Ojuck-san is effective in dissolving five kinds of masses accumulated in abdomen, so that it is preferential to the patients who have masses around the umbilicus or in lower abdomen. Ojuck-san is referred in the following chapters of Dongeuibogam(東醫寶鑑) ; uterus, chest, abdomen, loin, upper limbs, lower limbs, cold, and damp. Ojuck-san is applicable to the persons with the following characteristics in Hyungsang; Jijjucksang(地積象), woman, Bangkwang type, fish type, Hyul type, Ki type, Gualeum meridian type, pale lip, bluish thenar eminence, big mouth, smudgy face, thick leg, potbelly and big hips.

한·중 FTA 체결에 따른 청년창업 활성화방안에 관한 연구 (The study on the Ways to Activation of the Youth Starting up a Business by Korea-China FTA)

  • 김동호
    • 무역상무연구
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    • 제69권
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    • pp.617-632
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    • 2016
  • After contracting of Korea-China FTA, we have expected the trade volume has mutually been increasing a lot. If we are using this contract, we would make an activation of Korea economy. Especially, Korea youngman has been caught a big chance to make a business in Korea & China. For example, Xian, which is one of center of silk road, has become big strategy area. As we need to focus on this area, we will be expected to indirect influences of consumer's industries like cosmetic, fishery products, food service, eco-friendly items. Recently, the youngman starting up a business has become a trend of kinds of alternative new job. Then, we have to provide practical solution for young man. One of this solution is 'starting up a business'. In this study, I empirically investigated the relation between Korea-China FTA and the youth starting up a business. So, I believe that this study can light up on the direction of effective starting up for making & success a business in China.

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지역사회를 위한 교회부속시설의 활용에 관한 연구 -대전.충남지역 교회를 중심으로- (A Study on the usage of attached facilities of the Church for the Community Services -Focus on the Churches of Daejeon.Chungnam Province-)

  • 김학래
    • 한국농촌건축학회논문집
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    • 제15권1호
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    • pp.107-113
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    • 2013
  • The purpose of this study is to analyze the usage of the attached facilities of the church for the community services according to the church size. For the questionnaire 50 pasters who are in charge of the church that has over 300 church members were selected in Daejeon Chungnam Province. The results of this study were as follows; the kinds of attached facilities of the church do not increase by the church size, but in case of the middle size and the big size churches, the pressure of opening the attached facilities of the churches is stronger than that of small size churches. Almost all the pasters want to open the attached facilities of the churches for the community services, but the expectation of the result were different by the church size. Most of the pasters of the small size and big size churches think that the attached facilities of the church were very important for the growth of the church. Otherwise most of the pasters of the middle size churches do not agree with it.

학교폭력과 자살사고를 예방하기 위한 감성분석 시스템의 설계 (Design of a Sentiment Analysis System to Prevent School Violence and Student's Suicide)

  • 김영택
    • 컴퓨터교육학회논문지
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    • 제17권6호
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    • pp.115-122
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    • 2014
  • 현 청소년들의 학교내 생활환경에서 문제점으로 대두되는 폭력 및 자살사고 발생률 증가에 대한 예방차원의 빅 데이터 처리 분석 시스템을 목표로 연구하였고 설계의 경제성과 용이성, 적용의 신속성 등을 고려해서 많은 이용률을 가지고 있는 오픈 소스인, 하둡 시스템(Hadoop system)의 맵리듀스(MapReduce) 알고리즘과 분산 병렬 환경을 위한 HDFS(Hadoop Distibuted File System) 구성을 사용하여 실험하였다. 연구에서 사용된 분석기법은 기존의 통계적인 분석기법들이 가지는 난이도를 피하기 위해 상업적인 사회 망의 비정형 대화 자료를 이용해서 폭력성 어휘에 대한 단어 수(word count) 분석을 적용하여 폭행, 자살사고를 사전에 감지하여 예방하는 감성분석(sentiment analysis) 시스템을 텍스트 마이닝 관점에서 제안하여 실험하였다.

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웹 컨텐츠 선호도 측정을 위한 대용량 웹로그 분석기 구현 (Implementation of big web logs analyzer in estimating preferences for web contents)

  • 최은정;김명주
    • 디지털산업정보학회논문지
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    • 제8권4호
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    • pp.83-90
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    • 2012
  • With the rapid growth of internet infrastructure, World Wide Web is evolving recently into various services such as cloud computing, social network services. It simply go beyond the sharing of information. It started to provide new services such as E-business, remote control or management, providing virtual services, and recently it is evolving into new services such as cloud computing and social network services. These kinds of communications through World Wide Web have been interested in and have developed user-centric customized services rather than providing provider-centric informations. In these environments, it is very important to check and analyze the user requests to a website. Especially, estimating user preferences is most important. For these reasons, analyzing web logs is being done, however, it has limitations that the most of data to analyze are based on page unit statistics. Therefore, it is not enough to evaluate user preferences only by statistics of specific page. Because recent main contents of web page design are being made of media files such as image files, and of dynamic pages utilizing the techniques of CSS, Div, iFrame etc. In this paper, large log analyzer was designed and executed to analyze web server log to estimate web contents preferences of users. With mapreduce which is based on Hadoop, large logs were analyzed and web contents preferences of media files such as image files, sounds and videos were estimated.

빅데이터와 분석예측의 관계 (Relationship between Big Data and Analysis Prediction)

  • 강선경;이현창;신성윤
    • 한국정보통신학회:학술대회논문집
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    • 한국정보통신학회 2017년도 춘계학술대회
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    • pp.167-168
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    • 2017
  • 본 논문에서는 빅데이터를 이용하여 어떠한 것을 분석하고 또 분석한 것을 가지고 무엇을 예측할 것인가에 대한 중요성에 대해 이야기한다. 일상생활에서 일어나서 나도 모르게 축적되고 있는 데이터의 많은 양을 과연 어느 부분에 어떻게 적용하여 활용할 것인가의 문제는 아주 중요한 요소이다. 이러한 데이터를 가지고 무엇을 예측하고 어떻게 활용할 것인지를 구체화 시키는 작업은 여러 종류가 존재한다. 그 중에서 가장 적정한 것을 찾는 것이 예측 확률을 높이는 방법이라 하겠다. 또한 분석하여 예측한 내용이 실제 생활에 유용하게 쓰여져야 그 데이터는 의미 있는 데이터라 할 수 있다.

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Wellness Prediction in Diabetes Mellitus Risks Via Machine Learning Classifiers

  • Saravanakumar M, Venkatesh;Sabibullah, M.
    • International Journal of Computer Science & Network Security
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    • 제22권4호
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    • pp.203-208
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    • 2022
  • The occurrence of Type 2 Diabetes Mellitus (T2DM) is hoarding globally. All kinds of Diabetes Mellitus is controlled to disrupt over 415 million grownups worldwide. It was the seventh prime cause of demise widespread with a measured 1.6 million deaths right prompted by diabetes during 2016. Over 90% of diabetes cases are T2DM, with the utmost persons having at smallest one other chronic condition in UK. In valuation of contemporary applications of Big Data (BD) to Diabetes Medicare by sighted its upcoming abilities, it is compulsory to transmit out a bottomless revision over foremost theoretical literatures. The long-term growth in medicine and, in explicit, in the field of "Diabetology", is powerfully encroached to a sequence of differences and inventions. The medical and healthcare data from varied bases like analysis and treatment tactics which assistances healthcare workers to guess the actual perceptions about the development of Diabetes Medicare measures accessible by them. Apache Spark extracts "Resilient Distributed Dataset (RDD)", a vital data structure distributed finished a cluster on machines. Machine Learning (ML) deals a note-worthy method for building elegant and automatic algorithms. ML library involving of communal ML algorithms like Support Vector Classification and Random Forest are investigated in this projected work by using Jupiter Notebook - Python code, where significant quantity of result (Accuracy) is carried out by the models.

이중 해쉬체인을 이용한 계층적 다중 처리를 위한 효율적인 데이터 관리 기법 (An Efficient data management Scheme for Hierarchical Multi-processing using Double Hash Chain)

  • 정윤수;김용태;박길철
    • 디지털융복합연구
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    • 제13권10호
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    • pp.271-278
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    • 2015
  • 현재 인터넷을 통해 수집되는 빅 데이터는 데이터의 종류와 크기에 따라 데이터가 수집되는 시간보다 데이터가 증가하는 속도가 높아 사용자가 원하는 데이터를 원활하게 수집하는 것이 어려운 상황이다. 특히, 데이터의 사용 목적 및 종류에 따라 다르게 처리되기 때문에 데이터의 정확성과 계산비용이 빅 데이터 관리에 중요한 항목 중 하나이다. 본 논문에서는 인터넷에 존재하는 수많은 서로 다른 종류의 데이터를 사용자가 원할 때, 데이터를 정확하게 추출하는 동시에 데이터의 계산비용을 최소화하기 위해서 이중 해쉬체인을 이용한 계층적 다중처리 기반의 데이터 처리기법을 제안한다. 제안 기법은 다양한 종류의 데이터를 추출하기 위해서 데이터를 사용 목적 및 방법에 따라 계층적으로 분류한다. 이때, 데이터의 정확도를 높이기 위해서 데이터를 이중 해쉬체인으로 묶어 다중 처리한다. 또한, 제안 기법은 계층적으로 분류된 데이터를 손쉽게 접근하기 위해서 해쉬체인으로 데이터를 구성하여 데이터의 처리 비용을 줄였다. 실험결과, 제안 기법은 기존 기법보다 데이터의 정확도는 평균 7.8% 높았고, 데이터의 처리 비용은 4.9% 단축시켰다.