• 한국물환경학회지
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• 제31권6호
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• pp.693-699
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• 2015

It has been known that torrential rainfall events have been occurring worldwide due to climate change. The accelerated soil erosion has caused negative impacts on water quality and ecosystem of receiving waterbodies. Since soil security issues have been arising in various areas of the world, intensive interests have been given to topsoil management in Korea. Thus in this study, Web GIS-based computing system of physical, chemical, and biological topsoil quality indices were developed. In this study, five soil quality maps at national scale and top soil erosion potential were prepared for evaluation of soil quality based on soil erosion potential. For this system, the open source Web GIS engine, OpenGeo, was used as core engine of the system. With this system, decision makers or related personnel in areas of soil erosion Best Management Practices (BMPs) would be able to find the most appropriate soil erosion BMPs based on soil erosion potential and soil quality at the area of interest. The Web GIS system would be efficiently used in decision making processes because of ease-of-use interface and scientific data used in this system. This Web GIS system would be efficiently used because this system could provide scientific knowledge to decision makers or stakeholders. Currently various BMP database are being built to be used as a decision support system in topsoil management and topsoil quality areas.

• The Journal of Asian Finance, Economics and Business
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• 제7권8호
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• pp.735-746
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• 2020

This research is defined as a study regarding on structured and systematized of existing literature review of the intersection between intellectual property management, management and technology transfer offices (TTOs). It takes a deeper look at requirements within universities, scientific institutions and the business environment should be interconnected with each other. The literature review shows that TTOs have control over the process of knowledge transfer and they have contributed to improving the efficiency of the use of production and human resources. In this paper, authors proposed the methodological tools based on methodology model, which identified success factors for using project management in TTO between two countries - Kazakhstan and Spain. Further, we used methodology is focused on solving the problems of quantitative analysis based on the use of primary data, which allowed us to reach a huge number of respondents without any restrictions, and secondary data from statistical database. Findings and results are summarized at the end of article show that Kazakhstan is following the path of the Spanish experience. However, Kazakhstan can become more successful in commercializing scientific technologies and transferring knowledge and technologies. In turn, Spain can use the data from our analysis to work on barriers and improve the activities of TTOs.

• 천문학회보
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• 제41권1호
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• pp.55.1-55.1
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• 2016

Near Earth Asteroid (NEA) population has attracted keen attention not only from the scientific community but from the general public ever since their terrestrial impact risk achieved wide recognition. Potentially Hazardous Asteroids (PHAs), the subset of NEAs, recently became the center of interest of planetary defense folks and mining industry due to their proximity to, and the potential effects on planet Earth. However, we have long been ignorant about either the physical properties or dynamical source regions of individual objects. For instance, their rotational periods are only known for five percent of the total population (The NEA Database of DLR, updated on Feb 2016). The primary scientific objective of DEEP-South (DEep Ecliptic Patrol of the Southern sky) is to physically characterize 70 percent of km-class PHAs until 2019. In order to achieve this goal, we implemented an observation mode so-called "OC (Opposition Census)" targeting objects around opposition. OC observations were conducted during the period between Feb 2015 and Mar 2016, at CTIO in early periods, and at three KMTNet stations (CTIO, SSO and SAAO) since late July 2015, excluding the "bulge season" when the telescope time is exclusively used for exoplanet search. We present the preliminary lightcurves of 66 PHAs and 59 NEAs that we obtained during the OC runs.

• Journal of Information Science Theory and Practice
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• 제8권3호
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• pp.64-76
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• 2020

Scientometrics and social network analysis (SNA) measures were used to analyze the international scientific collaboration (ISC) of All India Institute of Medical Sciences (AIIMS) for a period of 10 years (2009-2018). The dataset consists of 19,622 records retrieved from the Scopus database. The mean degree of collaboration 0.95 implied that researchers of AIIMS tend to collaborate domestically (80.29%) and internationally (14.67%). The data exhibits a hyper authorship pattern, and a medium-size research team consists of 4 to 10 authors who contributed a maximum of 62.08% (12,182) publications. 71.97% of research findings are scattered in journal articles. The most preferred journals published 58.55% of medical literature. An undirected collaboration network is constructed in Pajek to study the ISC of AIIMS during the period 2009-2018 which consists of 179 vertices (Vn) and 11,938 edges. The degree centrality (Dc) identified that the United States of America (Dc - 54; CC - 0.99) and United Kingdom (Dc - 41; 0.98) are the most collaborative countries in the whole network as well as the most influential countries. The Louvain community detection method is used to detect influential research groups of AIIMS. The temporal evolution of ISC of AIIMS studied through scientometrics and SNA measures shed light on the structure and properties of ISC networks of AIIMS. It revealed that AIIMS, India has taken keen steps to enrich the quality of research by extending and encouraging the collaboration between institutions and industries at the international level.

• 한국전자통신학회논문지
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• 제19권2호
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• pp.389-396
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• 2024

생성형 AI는 최근 모든 분야에서 활용되고 있으며, 심층 데이터 분석 분야에서도 전문가를 대체할 수준으로 발전하고 있다. 그러나 과학기술 문헌에서의 지역명 식별은 학습 데이터의 부족과 이에 따른 인공지능 모델을 적용한 사례가 전무한 실정이다. 본 연구는 Web of Science에서 한국 기관 소속 저자들의 주소 데이터를 활용해 지역명을 분류하기 위한 데이터셋을 구축하고, 머신러닝 및 딥러닝 모델의 적용을 실험 및 평가했다. 실험 결과 BERT 모델이 가장 우수한 성능을 보였으며, 광역 분류에서는 정밀도 98.41%, 재현율 98.2%, F1 점수 98.31%를 기록하였다. 시군구 분류에서는 정밀도 91.79%, 재현율 88.32%, F1 점수 89.54%를 달성하였다. 이 결과는 향후 지역 R&D 현황, 지역 간 연구자 이동성, 지역 공동 연구 등 다양한 연구의 기반 데이터로 활용이 가능하다.

• 한국지리정보학회지
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• 제4권3호
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• pp.41-50
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• 2001

본 연구에서는 GIS를 이용하여 산불관련 데이터베이스를 구축하고 효과적인 산불 현황정보 검색시스템을 개발하여 산불 관리자에게 효율적인 공간분석 도구를 제공함으로서 산불에 관한 종합적인 공간정보를 빠른 시간 내에 분석하여 속성을 갱신 추출할 수 있도록 하는 효과적인 산불정보관리시스템을 개발하였다. 이를 위하여 최근 10년간의 산불 현황통계자료를 이용한 전국 시 군 단위의 공간분포도를 작성하여 전국 산불 발생현황을 시 공간적으로 분석하고 산불 발생에 미치는 다양한 요인들과의 상관성 분석이 가능하였다. 특히 최근 산불 발생이 빈번한 삼척시의 지형도 및 임상도, 위성영상, 현지사진을 이용하여 GIS 데이터베이스를 구축함으로써 산불 발생위험지역에 대한 보다 상세한 정보를 얻을 수 있다. 본 시스템은 응용프로그램 개발을 위한 플랫폼은 IBM호환 PC에서 Windows 98을 운영체제로 하여 DBMS는 Access 2000을 이용하였고 프로그래밍 언어로는 객체지향언어인 Visual Basic 6.0과 GIS 기능을 구현하기 위해서 Component GIS인 MapObjects 2.0을 사용하였다. 그 결과 산불 관리자는 진화에 필요한 관리구역내의 정보를 신속하게 제공받을 뿐만 아니라 산불 방제사업에 대한 효과적인 의사결정지원과 함께 실무자 중심의 산불관리행정을 도모하고 산림자원 관리비가 효율적으로 이용될 것이다.

• 한국지리정보학회지
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• 제4권1호
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• pp.1-17
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• 2001

본 연구는 GIS의 공간데이타 통합 기능을 이용하여 전통적인 자연환경 샘플링 조사의 결과를 지도화하고 자연환경 관련 각종 주제도를 통합한 데이터베이스를 구축함으로써 그 결과를 토대로 정부의 각종 자연보전정책을 지원할 수 있는 전국 규모의 실용적인 자연환경 GIS의 구축 가능성을 검증하는 것이 목적이었다. 그리하여 현지 샘플링 조사의 수치 지도화 작업이 이루어졌고 기존의 다양한 자연환경관련 주제도가 통합 데이터 베이스로 구축되었다. 아울러 GIS 비전문가도 필요한 정보를 쉽게 검색하여 활용할 수 있도록 하는 사용자 인터페이스가 디자인되었다. 구축된 시스템은 다양한 자료처리능력, 신속성을 바탕으로 지금까지는 불가능했던 방대한 양의 각종 자연환경 지도정보와 속성정보를 통합한 분석기능을 제공하여 의사결정 보조수단으로서의 활용가치가 매우 높은 것으로 사료되었다. 기존의 조사지점에만 국한된 통계 수치정보가 광역적인 자연환경변화 추이를 시각적으로 제시하는 데 많은 한계가 있었으나, 컴퓨터 지도의 시청각 효과를 이용한 광역공간정보의 활용을 통해 자연환경정책 결정과정의 설득력 확보에 기여하는 역할을 할 수 있을 것으로 보여졌다. 과거 자료검색을 위해 소요되는 시간 때문에 자연환경보전 기본계획 수립 등 많은 업무를 객관적인 데이터에 의거한 과학적인 정책결정이 아닌 직관에 의존하여 왔던 것이 사실이다. 본 연구가 이와 같은 관행을 개선할 수 있는 계기가 되어 향후 국가 전체차원의 자연환경GIS 구축이나 각급 지방자치단체의 보다 대축척인 자연환경GIS 구축사업에서 기술적이나 정책적인 측면의 중요한 참고자료가 될 수 있을 것으로 사료된다.

• 정보관리연구
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• 제40권4호
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• pp.109-133
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• 2009

생명정보 중에서 미국의 국립생명공학정보센터(NCBI)에서 제공하는 GenBank는 전 세계적으로 연구자들이 가장 많이 사용하는 대표적인 유전자정보 데이터베이스이다. 한국과학기술정보연구원(KISTI)은 GenBank의 최신 버전을 데이터베이스로 재구축하여 Bio-KRISTAL 검색엔진을 이용하여 국내 생명과학 연구자들에게 제공하고 있다. 본 논문에서는 GenBank 데이터베이스를 활용하여 과학기술정보 통합서비스인 NDSL의 논문정보, 특허정보, 생물다양성정보 등의 콘텐트와 GenBank reference 필드와 organism 필드를 상호 연계하는 서비스 모델을 설계하고 프로토타입 시스템을 개발하였다. 이를 위하여 1) NCBI FTP 사이트에서 GenBank 데이터를 수집하여, 2) GenBank 텍스트 파일을 유전자 기본정보와 참고정보로 나누어 데이터베이스로 재구축하여, 3) GenBank reference 필드에서 논문 및 특허 정보 추출을 통한 새로운 테이블을 생성하여, 4) 데이터 맵핑 기술을 이용하여 GenBank 데이터와 NDSL 데이터가 상호 연계되어 서비스되는 프로토타입 시스템을 구현하여 이종의 콘텐트간 연계 및 융합 서비스의 가능성을 확인하였다.

• Asian Pacific Journal of Cancer Prevention
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• 제13권11호
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• pp.5747-5752
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• 2012

Purpose: The main objective of the present study was to evaluate the efficacy and toxicity of concurrent chemoradiotherapy followed by adjuvant chemotherapy compared with concurrent chemoradiotherapy alone in the treatment of locoregionally advanced nasopharyngeal carcinoma. Methods: The search strategy included Pubmed, Embase, the Cochrane Library, China National Knowledge Internet Web, Chinese Biomedical Database and Wanfang Database. We also searched reference lists of articles and the volumes of abstracts of scientific meetings. Randomized controlled trials (RCTs) that compared concurrent chemoradiotherapy followed by adjuvant chemotherapy with concurrent chemoradiotherapy alone in locoregionally advanced nasopharyngeal carcinoma were included. Meta-analysis was performed with RevMan 5.1.0. The Grading of Recommendations Assessment, Development, and Evaluation system (GRADE) was used to rate the level of evidence. Results: Five studies were included. Risk ratios of 1.02 (95%CI 0.89-1.15), 0.93 (95%CI 0.72-1.21), 1.07 (95%CI 0.87-1.32), 0.95 (95%CI 0.80-1.13) were observed for 3 years overall survival, 5 years failure-free survival, 5 years locoregional failure-free survival and 5 years distant metastasis failure-free survival. There were no treatment-related deaths in both groups of five studies. Hematologic and gastrointestinal toxicity were the most significant for patients during adjuvant chemotherapy. The level of evidence was low. Conclusion: Compared with concurrent chemoradiotherapy alone, concurrent chemotherapy followed by adjuvant chemotherapy did not improve prognosis. More toxicity was found during adjuvant chemotherapy.

• 한방재활의학과학회지
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• 제28권3호
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• pp.55-66
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• 2018

Objectives To evaluate the evidence supporting the effectiveness of bee venom acupuncture for ankle sprain. Methods We conducted search across 11 electronic databases (Pubmed, EMBASE, Cochrane CENTRAL [CENTRAL], KoreaMed, Kmbase, Koreanstudies Information Service System [KISS], National Digital Science Library [NDSL], Korea Institute of Science and Technology Information [KISTI], China National Knowledge Infrastructure [CNKI], Wanfang and Chinese Scientific Journals Database [VIP] database) to find clinical trials that used bee venom acupuncture as treatment for ankle sprain. The methodological quality of randomized controlled clinical trials (RCTs) were assessed using the Cochrane Risk of Bias (RoB) tool, while non-randomized controlled clinical trials (NRCTs) were assessed using the Cochrane Risk of Bias Assessment tool for Non-randomized Study (RoBANS) tool. Results Four RCTs and one nRCT met our inclusion criteria. Almost studies showed that bee venom acupuncture has positive effect on ankle sprain. 4 studies of same intervention and control included in the meta-analysis. When comparing bee venom acupuncture and acupuncture with acupuncture, the effect size of standardized mean difference (SMD) was -0.19 (95% confidence interval [CI]: -1.95~1.56, Z=0.55, p=0.83). And when comparing bee venom acupuncture with acupuncture, the effect size of SMD was -0.17 (95% CI: -0.65~0.31, Z=0.71, p=0.48). Conclusions Although our systematic review found encouraging but limited evidence of bee venom acupuncture for ankle sprain, most of the studies included in the analysis were evaluated as methodologically high risk of bias. From now on further well-designed RCTs should be encouraged.