• 제목/요약/키워드: impact category

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멸종위기종, 히어리의 보전을 위한 지역사회 협력 모델 (Cooperative Model within Local Community for the Conservation of the Endangered Plant Species, Corylopsis coreana)

  • 임동옥;정흥락
    • 환경영향평가
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    • 제18권1호
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    • pp.51-57
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    • 2009
  • Corylopsis coreana Uyeki is endemic species in the Korean peninsula and is designated a Category Endangered Plant Species by the Wildlife Protection Act of South Korea. We developed the plan and cooperative model within the local community for the species conservation. In order to carry out this plan we first investigated the ecological characteristics of the species. The species shows patterns of discontinuous distribution and is coupled with the unusual feature of only growing on northern exposed slopes. Although Corylopsis coreana is cut the stem every year, many new sprouts are still grown from the root. Natural germination of the seed occurs only on north-facing slopes, but not on south-facing slopes at spring. That is, the species is highly influenced by soil moisture until the seedling stage has been reached. This factor limits the distribution of the species. When saplings are planted on south-facing slopes, they grow well. The information we gathered greatly helped with efforts to draw up conservation plans. In addition, when the information was shared with the local community, builders and residents showed great interest and displayed a will to help with conservation efforts. Therefore, a cooperative model within the local community was drawn up for the conservation of the species. Accordingly this model could be applied at mitigation measure at environment impact assessment.

Prevalence of Low Back Symptom and Impact of Job Stress among Working Women as Clinical Nurses in University Hospitals

  • Lee, Kyung-Jae;Kim, Joo-Ja;Kim, Jeung-Im
    • 여성건강간호학회지
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    • 제17권5호
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    • pp.484-490
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    • 2011
  • Purpose: This study was aimed to investigate the impact of job stress on low back symptoms among Clinical nurses (CNs) in university hospital. Methods: A total of 322 CNs employed in a hospital in Seoul were interviewed by a well-trained interviewer using the structured questionnaire. Data collected for this study includes demographics, social and work characteristics, low back symptoms, and job stress. To test the impact of job stress on low back symptoms, we used multiple logistic regression analysis. Results: The prevalence of low back symptoms was 25.8% in this study. Low back symptoms differed significantly by factors, such as physical work burden, past history of injury and work duration. Also low back symptoms differed significantly by organizational system among independent variables of job stress. In a multiple logistic regression analysis, the odds ratio of organizational system to low back symptoms was 2.07 after an adjustment. Conclusion: This study showed that organizational system among job stress was a significant variable in explaining low back symptoms. We suggest the improvement of organizational system category as a preventive strategy for low back pain in CNs working in hospital.

The Impact of Product Review Usefulness on the Digital Market Consumers Distribution

  • Seung-Yong LEE;Seung-wha (Andy) CHUNG;Sun-Ju PARK
    • 유통과학연구
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    • 제22권3호
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    • pp.113-124
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    • 2024
  • Purpose: This study is a quantitative study and analyzes the effect of evaluating the extreme and usefulness of product reviews on sales performance by using text mining techniques based on product review big data. We investigate whether the perceived helpfulness of product reviews serves as a mediating factor in the impact of product review extremity on sales performance. Research design, data and methodology: The analysis emphasizes customer interaction factors associated with both product review helpfulness and sales performance. Out of the 8.26 million Amazon product reviews in the book category collected by He & McAuley (2016), text mining using natural language processing methodology was performed on 300,000 product reviews, and the hypothesis was verified through hierarchical regression analysis. Results: The extremity of product reviews exhibited a negative impact on the evaluation of helpfulness. And the helpfulness played a mediating role between the extremity of product reviews and sales performance. Conclusion: Increased inclusion of extreme content in the product review's text correlates with a diminished evaluation of helpfulness. The evaluation of helpfulness exerts a negative mediating effect on sales performance. This study offers empirical insights for digital market distributors and sellers, contributing to the research field related to product reviews based on review ratings.

LCA를 이용한 고속철도 건설단계에서의 환경부하 특성에 관한 연구 (A Study on the Characteristics of Environmental Impact in Construction Sector of High-Speed Railway using LCA)

  • 이철;이재영;정우성;황용우
    • 한국철도학회논문집
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    • 제17권3호
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    • pp.178-185
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    • 2014
  • 본 연구에서는 국내 고속철도노선 전과정 중 건설단계에 대하여 각 분야별(토목, 궤도, 건축 및 전철전력/신호통신분야) 주요 건설자재 및 중장비 에너지 사용량을 토대로 전과정평가(Life Cycle Assessment, LCA) 방법론을 적용하여 주요 환경부하 특성을 분석하였다. 그 결과, 분야별 환경영향 기여도는 토목분야가 약 89%로 가장 높게 나타났으며, 궤도 7%, 건축 2%, 전철전력분야 2% 순으로 나타났다. 가장 기여도가 높은 토목분야의 경우, 주요 영향평가 범주는 지구온난화, 자원고갈, 광화학산화물생성으로 각각 54%, 25%, 8%로 나타났으며, 주요 영향인자는 레미콘과 시멘트인 것으로 분석되었다. 향후 철도 건설단계에서의 전과정평가 적용은 정량적인 환경부하 산정을 통해 효율적인 저감방법을 도입할 수 있다.

LCA에 기초한 패시브 공동주택의 친환경성 평가에 관한 연구 (A Study on the Environmental Impact Assessment for Passive Apartment based on Life Cycle Assessment)

  • 공유리;태성호;송수원;노승준
    • 한국건축시공학회지
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    • 제14권6호
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    • pp.537-543
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    • 2014
  • 본 연구는 전과정 평가에 기초한 패시브 공동주택의 친환경성을 평가하는 것을 목적으로 한다. 이를 위해 LCA에 관한 이론적 고찰을 토대로 전과정 단계별 물량정보 및 에너지 사용량 데이터를 구축하였다. 또한, 국가 LCI DB에 기초한 원단위 데이터베이스를 활용하여 산성화, 부영양화, 지구온난화, 자원고갈, 오존층파괴, 광화학적산화물에 대한 환경영향을 평가 분석하였다. 그 결과 패시브 공동주택이 일반 공동주택보다 6대 환경영향에서 환경적으로 우수한 것으로 평가 되었으며 이는 에너지 소비량의 절감이 운영단계에서 6대 환경영향을 큰 폭으로 감소시켰기 때문인 것으로 분석되었다. 이로 인해 건설단계에서의 환경영향의 비중이 상대적으로 증가됨에 따라 기존 에너지 절감 중심의 친환경 기술의 적용과 함께 투입물량의 절감 및 환경영향이 적은 친환경 건축재료의 적용을 통해 전 생애 주기 관점에서 친환경 기술의 적용이 필요할 것으로 사료된다.

LCA를 이용한 확공지압형 앵커와 일반 앵커의 환경영향 특성 비교분석 (Comparison Analysis of the Environmental Impact of VSL Anchors and RBanchors Using a Life-Cycle Assessment (LCA))

  • 안태봉;이재원;민경남;이중관;권용규
    • 한국철도학회논문집
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    • 제18권6호
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    • pp.558-566
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    • 2015
  • 본 연구에서는 일반 앵커와 확공지압형 앵커 시스템에 대하여 전과정평가(LCA)를 수행하고 환경영향 특성을 분석하였다. 또한, 평가결과를 비교 분석하여 개발된 확공지압형 앵커 시스템의 환경저감 개선효과를 확인하였다. 환경영향범주별 기여도 분석결과, 두 앵커 시스템 모두 지구온난화가 대부분을 차지하는 것으로 나타났다. 개발된 확공지압형 앵커 시스템의 환경저감효과를 확인하기 위해 환경영향범주에 대한 정규화 결과, 모든 항목에서 확공지압형 앵커 시스템의 환경성이 개선된 것으로 나타났으며, 광화학 산화물 생성분야가 77%로 가장 크게 개선되었다. 최근 지구온난화와 관련하여 전세계적으로 관심이 고조되고 있는 온실가스 배출량은 약 44% 감소한 것으로 나타났다. 이러한 정량적인 환경영향평가 결과는 향후 토목분야 영구앵커 공법에 대한 환경영향평가시 기초자료로 활용할 수 있을 것으로 판단된다.

정보기술 인력의 정보기술 스킬 요건 분석연구 (The Analysis of Industrial Difference in Skill Requirement for IT Personnel)

  • 오승희;박상혁;조남재
    • 디지털산업정보학회논문지
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    • 제9권3호
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    • pp.187-194
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    • 2013
  • Being in era of the digital economy, the impact of IT on our economy more and more increased. Along with this effect, IT becomes origin of predominance of competition in every category of industry. Regarding new trends in industry, companies have to mutate their IT skill set. Every industry has their color and environment of IT and uncertainty is different. For a company, it is most important to plan own strategy with strategy view on industrial environment. The idea of this study is to find the difference of Skill Requirement in every category of industry by find what are the most important jobs and skills of IT in every industry. We set skills by categorized curriculum of specialized IT education center, then with IT specialist, checked and retouched the results and surveyed with IT people in every industry on skill set and job of IT. The result of this study can gives the idea to who design curriculum and build educational contents that would fulfill the need of field. Also, this study would be meaningful that it opens the field of study of skill requirement in Korea.

단어빈도와 동시링크의 결합을 통한 웹 문서 클러스터링 성능 향상에 관한 연구 (Clustering of Web Document Exploiting with the Union of Term frequency and Co-link in Hypertext)

  • 이교운;이원희;박흠;김영기;권혁철
    • 한국도서관정보학회지
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    • 제34권3호
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    • pp.211-229
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    • 2003
  • 이 연구에서는 웹 문서가 갖고 있는 특성, 특히 웹 문서에 포함된 단어 수가 클러스터링 성능에 결정적인 영향을 미친다는 전제 하에, 웹 문서에 포함된 단어 수와 클러스터링 성능과의 관계를 밝힌 다음, 이 부분을 웹 문서의 동시인용 빈도를 이용해 보완할 수 있는 알고리즘을 제시한다. 이 연구에서는 네이버 디렉터리 중 '자연과학' 법주에 포함된 1,449개의 웹 문서를 대상으로 단어기반 클러스터링과 링크기반 클러스터링, 그리고 단어-링크 혼합 클러스터링 기법으로 클러스터링 해 보았으며, 그 결과를 네이버 디렉터리에 초기 할당된 법주와 비교해 보았다.

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Classification of the journal category "oral surgery" in the Scopus and the Science Citation Index Expanded: flaws and suggestions

  • Kim, Seong-Gon
    • Journal of the Korean Association of Oral and Maxillofacial Surgeons
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    • 제45권4호
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    • pp.186-191
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    • 2019
  • Objectives: The aim of this study was to evaluate the journal category "oral surgery" in Scopus and in the Science Citation Index Expanded (SCIE). Materials and Methods: The Journal of Oral and Maxillofacial Surgery (JOMS), The Journal of the Korean Association of Oral and Maxillofacial Surgeons (JKAOMS), and The Journal of Prosthodontic Research (JPR) were selected from the Scopus list of journals as oral surgery journals. Maxillofacial Plastic and Reconstructive Surgery (MPRS) was selected from PubMed as a Scopus oral surgery title. From these titles, 10 recently published articles were collected and used for reference analysis. Results: The percentage of citations from oral surgery journals was 26.7%, 24.5%, and 40.1% for JKAOMS, MPRS, and JOMS, respectively. In total, 1.1% of JPR's citations were from oral surgery journals and significantly fewer from other journals (P<0.001). The percentage of citations from dentistry journals excluding oral surgery journals was 11.9%, 34.4%, and 15.8% for JKAOMS, MPRS, and JOMS, respectively. For JPR, 80.6% of citations were from dentistry journals and significantly more were from other journals (P<0.001). Conclusion: Selected samples revealed that JPR is incorrectly classified as an oral surgery journal in Scopus. In addition, the scientific interaction among JKAOMS, MPRS, and JOMS was different to JPR in the reference analysis.

군집분석의 분할 유용도 점수의 영향 분석 (Impact Analysis of Partition Utility Score in Cluster Analysis)

  • 이계성
    • 문화기술의 융합
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    • 제7권3호
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    • pp.481-486
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    • 2021
  • 기계학습 알고리즘은 기준 함수를 채택하여 데이터를 처리하고 학습 모델을 유도한다. 군집분석에서 사용하는 기준 함수는 어떤 형태로든지 선호성을 내포하게 되고 이를 통해 유사한 데이터끼리 묶어 준 후 이를 구성하는 변수와 값들을 특정하여 군집을 정의하게 된다. 군집분석에서 사용하는 카테고리 유용도와 분할 유용도 점수가 군집분석 결과물에 어떤 영향을 주는지를 파악하고 이들이 결과에 어떤 편향성으로 이어지는지를 분석한다. 본 연구는 군집분석에 사용되는 기준 함수의 특성에 따라 결과에 미치는 영향을 파악하기 위해 여러 데이터 세트를 이용해 실험하고 결과를 평가한다.