• Title/Summary/Keyword: 기술적 사회적요소 평가

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Application of GIS in Typhoon Risk Assessment (태풍 피해 예측을 위한 지리정보시스템의 활용)

  • Lee, Seung-Su;Jang, Eun-Mi
    • Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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    • 2007.10a
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    • pp.185-191
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    • 2007
  • 최근 10년간 발생한 자연재해 중 태풍의 피해는 전체의 60%를 넘을 정도로 풍수해의 피해는 막대하며, 지속적 산업화와 개발로 인해 피해 규모 역시 매년1조원 이상을 상회하고 있어, 자연재해에 대한 피해 경감 노력이 매우 요구되고 있다. 이를 위하여 최근 풍수해의 피해 사전에 예측함으로써 예방 및 대비는 물론 재해 발생에 따른 응급 대응 및 복구의 효율성을 제고하고자하는 과학적 방법론에 대한 연구가 진행되고 있다. 태풍에 의한 피해 예측은 위험도(Hazard)의 추정, 피해 대상 자료의 구축(Inventory) 및 피해대상의 취약도(Fragility)의 세 가지 요소를 이용하여 수행되는 것이 일반적이다. 위험도는 자연재해의 특성인 강우, 풍속 등을 물리적으로 모델링함으로써 추정할 수 있으며, 피해 대상 자료는 공공 및 사유 시설물을 총 망라함으로써 피해의 사회, 경제적인 피해 규모 예측에 활용된다. 각각의 피해 대상이 위험도에 따라 갖는 취약도는 최종 피해 및 손실 규모의 평가 자료로 이용된다. 이때 위험도의 추정 및 피해 대상 자료의 구축을 위한 핵심적인 방법론으로서 지리정보시스템의 활용이 크게 요구된다. 따라서 본 연구에서는 태풍 피해 예측을 위한 자연재해 위험성 평가 방법론에 있어서 매우 중요한 요소인 자연 지형, 지표의 특성 및 활용도, 피해 대상인 인공 시설물 등의 자료항목을 분류하고 태풍 피해 예측 기술의 핵심 요소로서의 지리정보시스템 활용 방안을 제시하고자 한다.

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Characteristics and Effects of Lifestyle Interventions for Community Dwelling Older Adults: A Systematic Review (지역사회 노인을 대상으로 적용한 라이프스타일 중재의 형태와 효과에 관한 체계적 고찰)

  • Won, Kyung-A;Shin, Yun Chan;Park, Sangmi;Han, Areum;Park, Ji-Hyuk
    • Therapeutic Science for Rehabilitation
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    • v.8 no.2
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    • pp.7-30
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    • 2019
  • Objective : The purpose of this study was to analyze the format and effects of lifestyle intervention provided to community dwelling older adults. This systematic review was written following the PRISMA guideline. Methods : The National Digital Science Library(NDSL), RISS, PubMed, and CINAHL were used to search for articles published from January 2008 to December 2017. In total, 20 articles were selected for the analysis and the risk of bias was screened through the Physiotherapy Evidence Database Scale. Lifestyle interventions in the articles were classified according to the disease of the participants. Results : Major contents of the lifestyle interventions were increased physical activity like moderately intensive exercise and education or training to help participants have a healthy diet. Of the 20 articles, 17 included more than 2 types of contents. Examining biochemical factors was the most common measurement among the multifaceted measurements used to assess the effects of lifestyle interventions. The results of the lifestyle interventions described in each article did not indicate congruent effects. 14 of the 20 articles reported the lifestyle interventions had significant effects. Conclusions : The results of this study could help practitioners select the contents of and provide lifestyle interventions to older adults. Further study on the various applications of lifestyle interventions in a community setting is necessary.

A Study on Facial Expression Recognition for Customer Satisfaction Feedback System (고객만족도 피드백시스템을 위한 얼굴감정인식에 대한 연구)

  • Kang, Min-Sik;Song, Eun-Jee
    • Proceedings of the Korea Information Processing Society Conference
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    • 2012.04a
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    • pp.298-301
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    • 2012
  • 최근 정보화 사회에 있어 멀티미디어의 향상으로 기술의 중심은 사람에게 맞추어져 가고 있다. 만약 기계가 사람의 감정을 인식하여 그들의 상황을 이해할 수 있다면 감지된 상황에 따라 능동적으로 사람에게 도움을 줄 수 있을 것이다. B2C(Business to Customer) 산업에 있어 효율적인 성과관리를 위해서는 고객이 원하는 서비스 요소를 추론하여 고객이 원하는 서비스를 제공하고 그 결과를 평가하여 지속적으로 서비스품질 및 성과를 향상 할 수 있도록 해야 한다. 그것을 위한 중요한 요소는 고객 만족도의 정확한 피드백인데 현재 국내에는 고객의 만족도 측정에 대한 정량적이고 표준화된 시스템이 열악한 상황이다. 본 연구에서는 B2C산업 서비스 분야에 있어 고객 만족도를 실시간으로 수집 및 분석할 수 피드백 시스템으로서 고객 만족도를 고객의 얼굴감성인식을 이용하여 추론할 수 있는 시스템을 제안하며 효율적인 얼굴 감성 인식에 대한 분석을 한다.

Derivation of Green Infrastructure Planning Factors for Reducing Particulate Matter - Using Text Mining - (미세먼지 저감을 위한 그린인프라 계획요소 도출 - 텍스트 마이닝을 활용하여 -)

  • Seok, Youngsun;Song, Kihwan;Han, Hyojoo;Lee, Junga
    • Journal of the Korean Institute of Landscape Architecture
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    • v.49 no.5
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    • pp.79-96
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    • 2021
  • Green infrastructure planning represents landscape planning measures to reduce particulate matter. This study aimed to derive factors that may be used in planning green infrastructure for particulate matter reduction using text mining techniques. A range of analyses were carried out by focusing on keywords such as 'particulate matter reduction plan' and 'green infrastructure planning elements'. The analyses included Term Frequency-Inverse Document Frequency (TF-IDF) analysis, centrality analysis, related word analysis, and topic modeling analysis. These analyses were carried out via text mining by collecting information on previous related research, policy reports, and laws. Initially, TF-IDF analysis results were used to classify major keywords relating to particulate matter and green infrastructure into three groups: (1) environmental issues (e.g., particulate matter, environment, carbon, and atmosphere), target spaces (e.g., urban, park, and local green space), and application methods (e.g., analysis, planning, evaluation, development, ecological aspect, policy management, technology, and resilience). Second, the centrality analysis results were found to be similar to those of TF-IDF; it was confirmed that the central connectors to the major keywords were 'Green New Deal' and 'Vacant land'. The results from the analysis of related words verified that planning green infrastructure for particulate matter reduction required planning forests and ventilation corridors. Additionally, moisture must be considered for microclimate control. It was also confirmed that utilizing vacant space, establishing mixed forests, introducing particulate matter reduction technology, and understanding the system may be important for the effective planning of green infrastructure. Topic analysis was used to classify the planning elements of green infrastructure based on ecological, technological, and social functions. The planning elements of ecological function were classified into morphological (e.g., urban forest, green space, wall greening) and functional aspects (e.g., climate control, carbon storage and absorption, provision of habitats, and biodiversity for wildlife). The planning elements of technical function were classified into various themes, including the disaster prevention functions of green infrastructure, buffer effects, stormwater management, water purification, and energy reduction. The planning elements of the social function were classified into themes such as community function, improving the health of users, and scenery improvement. These results suggest that green infrastructure planning for particulate matter reduction requires approaches related to key concepts, such as resilience and sustainability. In particular, there is a need to apply green infrastructure planning elements in order to reduce exposure to particulate matter.

Validation Study of Clinical Utility and Usability on Korean Version of the Life-Space Assessment to Assess Community Mobility (지역사회 이동성을 측정하는 한국어판 생활공간 평가(Korean Version of the Life-Space Assessment; K-LSA)의 임상적 유용성 및 사용성 검증 연구)

  • Kim, Jeong-Hui;Chang, Moon-Young
    • The Journal of Korean society of community based occupational therapy
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    • v.8 no.1
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    • pp.1-10
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    • 2018
  • Objective : The purpose of study is to validate the clinical utility and usability of the Korean version of the Life Space Assessment(K-LSA) which is an assessment tool of community mobility of older adults. Methods : Surveys on the clinical utility and usability of the K-LSA are carried out with a total of aoaa60 occupational and physical therapists. The surveys included the multiple choice questions on the clinical utility and open questions on the usability. Responses to multiple questions are post processed by frequency analysis and technical statistics, and responses to the open questions are categorized by common factors in each questions. Results : Average value of clinical utility ranges from 3.6 to 4.0 with positive responses of 'fair (3 point)', 'agree (4 point)' and 'strongly agree (5 point)' being 95~100%. Average value for clinical usability ranges from 3.6 to 4 with positive answers of 'fair (3 point)', 'easy (4 point)' and 'very easy (5 point)' being 88.3~100%. Additionally out of open-type questions of clinical usability, it was pointed out that the concept of 'neighborhood' for the life space level 3 and 4 is unclear. Conclusion : The current study and research outcomes showed that the K-LSA is a validated tool in Korean health care system for the clinical utility and usability in measuring community mobility, and that it is straightforward in practical use. It will help clinicians and therapists promote the social participation of older adults, and set an intervention goal for enhancing community mobility. It will further help clinicians and researchers in education and research for medical intervention and goal-setting.

Analysis of Potential Flood Damage and Damage Priority Using Flood Hazard Map in Nakdong River Basin (낙동강권역 홍수위험지도를 이용한 홍수피해잠재성 및 피해 우선순위 분석)

  • Kim, Ji-Sung;Oh, Kuk Ryul;Lee, Jae Yeong
    • Proceedings of the Korea Water Resources Association Conference
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    • 2020.06a
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    • pp.375-375
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    • 2020
  • 우리나라는 현재 개발되어 적용되고 있는 홍수피해잠재능(Potential Flood Damage, PFD) 산정방법은 잠재성요소(인구, 자산, 사회기반시설, 도시화율)와 위험성요소(홍수피해액, 확률강우량, 외수방어능력, 댐 및 저수지, 내수방어능력)로 산정 후 지역평가를 통해 그룹(A,B,C,D)별로 평가하고 있다. 하지만, 홍수피해잠재능(PFD) 산정인자가 많아 자료조사 및 구축에 많은 시간이 소요 되며, 인자별 다양한 공간적 범위로 인해 실무 적용에 어려움이 있다. 또한, 소구역 단위 평가로 인해 하천의 침투 특성을 반영하지 못하여 하천 주변의 중요도 평가가 미흡한 실정이다. 이를 위해 본 연구에서는 중요도 분석 인자 단순화를 통해 자료 조사 및 구축 시간 단축과 더블어 위험성요소를 내포하는 홍수위험지도 사용을 통해 작업을 간소화하고, 하천 주변까지 고려하여 중요도 평가하는데 목적이 있다. 본 연구에서는 낙동강권역을 대상으로 홍수위험지도 및 중요도 분석 인자(인구, 자산(공시지가), 시회기반시설(도로,철도), 도시화율(시가화지역)) 공간정보를 구축하였고, 점수할당법에 의한 인자별 중요도 분석 및 상관성 분석을 통해 피해우선순위를 분석하였다. 분석결과, 인구·자산(공시지가) 인자가 높은 구역이 대체로 사회기반시설 연장 및 도시화 면적이 높게 나타났으며, 하천의 치수단위 구역별 중요도 분석시 인구·자산(공시지가) 두가지의 인자로도 치수안전도 결정에 활용이 가능할 것으로 판단된다.

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A Study on Social Capital of Strategy Alignment to IT Govenance in Digital Libraries (디지털도서관의 IT 거버넌스를 위한 전략적 연계의 사회적 자본 분석 모형)

  • Lee, Jeong-Soo;Kim, Seong-Hee
    • Journal of the Korean Society for information Management
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    • v.26 no.3
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    • pp.295-316
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    • 2009
  • This research applied the concepts of IT architecture and IT governance for managing with an integrated computing environment and organized structure, which base a digital library's management and operation. It also aims to analyze the structural system between information technology of human resources and strategy alignment elements of business, which both constitute the core content. Social network analysis software was used to investigate the complicated relationship between IT and business-related strategy alignment elements. The following is the results of carrying out this research on the social network structure and features of strategy alignment elements for a digital library. First, analysis indexes for strategy alignment elements and social network of a digital library were developed. Second, an analysis model was designed based on the analysis index for social network as to strategy alignment elements. Analysis model was appraised by collecting social network datasets for such strategy alignment elements as Communications, Competency and Value, Governance, Partnership, Scope and Architecture, and Skills against the Business strategy, Information strategy, Business and Technology of a digital library. As for the content of analysis, social network structure and specific features were analyzed in relation to a digital library's (1) General social network, (2) Structure of strategy alignment elements, (3) Strategy fit and Functional integration.

An Algorithm for evaluating Combat Power Effectiveness by considering the Influence of Human Factors (인적요소의 영향력을 고려한 전투효과 평가 알고리즘)

  • Kwon, Oh-Sang;Park, Gun-Woo;Lee, Sang-Hoon
    • Journal of the Korea Society of Computer and Information
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    • v.16 no.1
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    • pp.201-210
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    • 2011
  • Each area of society has changed because of the development of information technology. Especially, the advent of NCW based on the technology of network has become a new paradigm for executing warfare. Effectiveness of NCW can be maximized by building the C4I system which is a core system of NCW. However, if we don't consider the influence in term of human dimension, we can't expect the effect of C4I system, since the key factor in C4I is human. In this paper, we propose an algorithm for evaluating Combat Power Effectiveness by considering the Influence of Human Factors that wasn't reflected in the past. Based on experimental validation our algorithm is more substantial than baseline algorithms. In addition, we proved that the Influence of Human Factors(e.g. collaboration) is the most important in battlefield. Therefore, proposed algorithm can be used for enhancing not only mission effectiveness in terms of military field but also work performance by effective Human Resource Management in terms of an enterprise.

A Study of Korean Scientific Community's Groping for Scientific Ideology in the Period of Liberation, 1945-53 (해방 공간과 과학자 사회의 이념적 모색)

  • Kim Dong-Kwang
    • Journal of Science and Technology Studies
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    • v.6 no.1 s.11
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    • pp.89-118
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    • 2006
  • The formation of early korean scientific community is a dynamic process of korean modern history in which colonialization, liberation, United States Army Military Government and Korean War is included. Particularly, scientist's crossing over the border into north korea and south korea have profound effect on the early stage of our scientific community. This period is so important to understand the nature of korean scientific community that we need to re-interpret the role of 'ideology' in the development of scientific community. On the other hand, war is a important element in our formation of the image of the science. This study purported to interpret the problem of political ideology, it's role in the formation of early scientific society, it's implication on our idea of science positively. Also the study is a an attempt to re-construct the scientist's struggle(1945-1950) to demarcate new science from old, colonial science.

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A Study of Adoption of The Fourth Industrial Revolution New Products (4차산업혁명 신제품 소비자 수용에 대한 연구)

  • Kim, Moon-Tae
    • Management & Information Systems Review
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    • v.38 no.2
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    • pp.165-182
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    • 2019
  • This study investigated the consumer acceptance process of the fourth industrial revolution new product to be introduced into the market in the future. The 4th Industrial Revolution new products are technological advances compared to the existing ones. The technology acceptance model that was used in the past has been modified to reflect variables like the social effects of the 4th Industrial Revolution, expected experience, and perceived risk. Modified models were proposed and verified. Six representative new products of the 4th Industrial Revolution were selected and examined by 40 respondents, and the hypotheses were verified using programs such as SPSS and AMOS. And conclusions and implications are as follows. First, the innovativeness of the fourth industrial revolution new products influences positive evaluation factors such as expected experience and perceived usefulness and it also affect positively to the perceived risk. In addition, the expected experience of the fourth industrial revolution new products has a great effect on the perceived usefulness and social influence, but it didn't affect to the perceived risk. Like the results of the TAM model, purchase intention of the fourth industrial revolution new products are strongly influenced by perceived usefulness. Finally, the perceived risk of the new product of the 4th Industrial Revolution had no statistically significant effect on the purchase intention, and the social influence of the 4th Industrial Revolution had a significant effect on the purchase intention. In general, respondents are highly aware of the social impact of the Fourth Industrial Revolution and seem to be very positive in this respect.