• 한국콘텐츠학회논문지
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• 제9권12호
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• pp.332-338
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• 2009

한의학 통계의 생산, 관리 및 제공은 구체적이고 객관적인 데이터를 활용한 한의학 정책의 수립과 근거에 기반한 한의학 연구를 위해 필수적인 요소이다. 그러나 현재 한방 통계 서비스는 정부와 민간의 유관 단체가 산별적으로 제공하는 상황에서 체계적이고 통합적인 서비스가 이루어지고 있지 않기 때문에 이용자는 신뢰할 수 있으며 유용한 가치를 가진 데이터의 검색, 획득 및 활용에 많은 어려움이 있다. 본 연구는 각 기관에서 생산하는 한의학 관련 통계자료를 분석하여 이용자가 편리하게 이용할 수 있도록 한방 통계를 7가지 분야로 구분하고, 분야별 서비스 통계 항목을 분석하였다. 서비스 이용에 대한 시나리오 설계를 바탕으로 테이블 동적생성기법을 이용하여 데이터베이스를 설계하였으며 Excel Import, Statistics Analysis, Chart Creation, Search Engine의 4개 모듈로 이루어진 시스템을 설계하여 사용자가 원하는 형태의 통계 가공 기능을 제공하는 시스템을 구현하였다. 한방 통계 시스템은 사용자에게 필요한 통계를 검색하고 통계 정보를 획득하는데 많은 유연성을 제공할 것으로 기대된다.

• 보건행정학회지
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• 제21권2호
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• pp.279-308
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• 2011

Background : Demands have increased for a variety of welfare services and customized services for persons with disabilities(PWD). A management System focused on PWD was needed to provide for comprehensive services. The purpose of this study was to design a disability database and an application system in order to provide continuous and comprehensive rehabilitation service for PWD. Methods : We analyzed local and abroad disability-related policies and systems and derived the contents that should be included in the integrated database for PWD through a survey among rehabilitation specialists. Result : The integrated database for PWD was composed of 7 categories including General Characteristics, Health & Medicine, Assistance, Education, Employment, Economics and Daily & Social Life. The applicable system of integrated database for PWD was proposed to help conducting policies in such areas as follows ; 'welfare', 'education and culture', 'economic activity', 'social participation' and 'Health'. Conclusion : The main goal of disability policy and strategy should be established by systematically analyzing disability-related data integrating database of PWD. Accordingly, specific objectives and directions for disability policies should be set and efficiently managed and operated. The integrated database for PWD may be utilized for disability-related policies and service monitering, sustainable and integrated management and community participation and integration based on the rights of the disabled.

• 한국자원식물학회:학술대회논문집
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• 한국자원식물학회 2018년도 춘계학술발표회
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• pp.16-16
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• 2018

Flora investigations have been conducted by many researchers for a long time in Korea. Even though large amount of investigation data has been accumulated, there is no accurate statistics or database because most of data were published in a printed form. We developed a web-based database of flora investigation, named as the Integrated Korean Flora Database (http://www.floradb.net/) to understand distribution patterns and habitats of plants in Korea. Till now, 480 published paper, 356 thesis, 76 reports and books, and 8 unpublished papers written in between 1962 and 2017 were collected and their species lists from 280 papers were parsed into the database. From 124,105 records, 3,100 species belonging to 206 families and 965 genera were identified via comparing with two major Korean plant species lists. 55 endangered species, 159 endemic species, and 367 rare species were identified. The most frequently surveyed species were Commelina communis in herbaceous and Rosa multiflora in woody plants. Microclimate data provided by Korea Meteorological Administration were also integrated and analyzed to assign cold hardness zones for each species. By comparing minimum temperature (<2%) acquired from automated weather stations (AWS) near by plant species, 6a to 10b zones (7b is the most frequent zone) were identified. Integrated Korean Flora Database will be a fundamental platform of korea flora investigation as well as a new standard for classifying distribution of plants based on accurate microclimate data. Moreover, it can also provide evidences of investigated plant species, such as specimen and/or pictures with connecting to the InfoBoss Cyber Herbarium (http://herbarium.infoboss. co.kr/) and Biodiversity Observation Datbase (BODB; http://www.biodiversitydb.org/).

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2003년도 Proceedings of ACRS 2003 ISRS
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• pp.47-49
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• 2003

Automatic land use and land cover change (LUCC) detection via remotely sensed imagery has a wide application in the area of LUCC research, nature resource and environment monitoring and protection. Under the condition that one time (T1) data is existed land use and land cover maps, and another time (T2) data is remotely sensed imagery, how to detect change automatically is still an unresolved issue. This paper developed a land use and land cover class knowledge guided method for automatic change detection under this situation. Firstly, the land use and land cover map in T1 and remote sensing images in T2 were registered and superimposed precisely. Secondly, the remotely sensed knowledge database of all land use and land cover classes was constructed based on the unchanged parcels in T1 map. Thirdly, guided by T1 land use and land cover map, feature statistics for each parcel or pixel in RS images were extracted. Finally, land use and land cover changes were found and the change class was recognized through the automatic matching between the knowledge database of remote sensing information of land use & land cover classes and the extracted statistics in that parcel or pixel. Experimental results and some actual applications show the efficiency of this method.

• 통합자연과학논문집
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• 제7권1호
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• pp.57-61
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• 2014

This study measured the stream data from the several sensors, and stores the database in MapReduce framework environment, and it aims to design system with the small performance and cluster analysis error rate through the KMSVM algorithm. Through the KM-SVM algorithm, the cluster analysis effective data was used for U-health system. In the results of experiment by using 2003 data sets obtained from 52 test subjects, the k-NN algorithm showed 79.29% cluster analysis accuracy, K-means algorithm showed 87.15 cluster analysis accuracy, and SVM algorithm showed 83.72%, KM-SVM showed 90.72%. As a result, the process speed and cluster analysis effective ratio of KM-SVM algorithm was better.

• Genomics & Informatics
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• 제21권4호
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• pp.49.1-49.11
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• 2023

Recent advances in sequencing technologies and platforms have enabled to generate metagenomics sequences using different sequencing platforms. In this study, we analyzed and compared shotgun metagenomic sequences generated by HiSeq3000 and BGISEQ-500 platforms from 12 sediment samples collected across the Norwegian coast. Metagenomics DNA sequences were normalized to an equal number of bases for both platforms and further evaluated by using different taxonomic classifiers, reference databases, and assemblers. Normalized BGISEQ-500 sequences retained more reads and base counts after preprocessing, while a slightly higher fraction of HiSeq3000 sequences were taxonomically classified. Kaiju classified a higher percentage of reads relative to Kraken2 for both platforms, and comparison of reference database for taxonomic classification showed that MAR database outperformed RefSeq. Assembly using MEGAHIT produced longer assemblies and higher total contigs count in majority of HiSeq3000 samples than using metaSPAdes, but the assembly statistics notably improved with unprocessed or normalized reads. Our results indicate that both platforms perform comparably in terms of the percentage of taxonomically classified reads and assembled contig statistics for metagenomics samples. This study provides valuable insights for researchers in selecting an appropriate sequencing platform and bioinformatics pipeline for their metagenomics studies.

• International Journal of Knowledge Content Development & Technology
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• 제9권4호
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• pp.31-45
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• 2019

In this study, a database was established by analyzing the record data research produced in ice hockey sports. The deployed data verification with Ice hockey reference service was demonstrated with ice hockey officials and players. This research utilized the data stored in the KNSU Datanest data repository and developed PDF parsers for batch processing of records. Among the types of records, the game summary, team roster, team statistics, and player statistics files were collected, and tables were extracted from the records. PDF records were converted to text in CSV format which are converted to DataFrame and loaded into the database. Out of the total 22 types of records, 4 types were constructed with OO data parsed as element values. Data verification has found no problems with the quality of the data deployed, showing a high satisfaction with providing 66 factors against the 30 factors provided by the service previously used.

• 응용통계연구
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• 제6권1호
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• pp.163-172
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• 1993

기존의 몇몇 통계 ？키지들(SAS, SPSS)에서 제공하는 비선형 회귀분석을 위한 프로그램들은 그 사용방법이 불편하고, 최근에 개발된 중요한 통계치는 계산을 해주지 못하고 있다. 여기서 소개하고자 하는 비선형 회귀분석을 위한 소프트웨어 NLIN90은 비선형 회귀모형들의 데이터베이스화로 사용이 편리하고, 기본 통계치외에 모형 전체와 모수 개개에 대한 곡률분석, 변환된 모수에 관한 곡률분석, 실험계획분석등 정확한 분석에 필요한 많은 통계치를 제공하는 소프트웨어로 개발되었다.

• 대한지리학회지
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• 제47권2호
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• pp.268-281
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• 2012

인구이동통계는 사회현상에 대한 공간적 이해와 공간과정의 사회적 영향 파악에 유용한 정보를 제공해줌에도 불구하고 데이터 구조의 복잡성 때문에 자료 서비스와 분석이 제한되어 왔다. 한편 인구이동통계를 탐색하고 시각화하는 효과적인 방법인 유선도 작성(flow mapping)은 아직 상용 GIS 소프트웨어서 완전히 구현되지 못하고 있다. 이에 본 연구의 목적은 Web GIS를 통한 유선도 제작과 이를 이용한 인구이동통계에 대한 탐색적 공간 분석이 가능함으로 보여주는 것이다. 데이터베이스, GIS, 지도학적 관점에서 인구이동통계의 특성을 고찰하였고, 이를 바탕으로 O-D 구조의 인구이동통계를 유선도 제작에 적합한 공간데이터로 변환하였다. 인구이동통계에 적합하도록 Web GIS의 사용자 인터페이스를 전문화하였고, 지도화의 시간, 공간 및 속성 범위의 설정을 통한 탐색적 시각화가 가능하도록 구성하였다.

• 응용통계연구
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• 제22권1호
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• pp.1-16
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• 2009

최근 대부분 기업에서는 통합 데이터베이스 정보를 모델화하고 이를 전략적으로 활용하는 움직임이 가속화되고 있다. 이는 고객과의 커뮤니케이션 및 관계유지로 대변되는 CRM(Customer Relationship Management)이 기업들의 가장 중요한 이슈 중 하나로 부각되고 있기 때문이다. 본 연구에서는 이런 관점에서 CRM의 핵심 요소인 데이터 마이닝 기법을 이용하여 개발한 고객 스코어링 모델을 마케팅 층(Marketing Layer)에 연결해주는 스코어링 캠페인 시스템을 개발 하고자 한다. 개발한 시스템은 고객 스코어링 결과 및 캠페인 대상자 선정 작업을 쉽게 할 수 있도록 GUI환경에서 제공해 줌으로서 일반 사용자들이 쉽게 활용할 수 있도록 하였다.