• 대한전기학회:학술대회논문집
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• 대한전기학회 2000년도 하계학술대회 논문집 A
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• pp.489-491
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• 2000

A DAS(Distribution Automation System) enhances the efficiency and productivity of a utility. It also provides intangible benefits such as improved public image and market adventages. This paper discusses an approach to the integration of NDIS(New Distribution Information System) and DAS that will allow benefits from both technologies to support a common database and distributed computing architecture, thereby improving the ability of many functions to justify implementation of integrated systems based on transferring' data comparisons.

• 한국컴퓨터정보학회:학술대회논문집
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• 한국컴퓨터정보학회 2015년도 제52차 하계학술대회논문집 23권2호
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• pp.323-324
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• 2015

본 논문에서는 보완대체요법 중 귀 반사 요법을 컴퓨터를 활용하여 데이터베이스화하여 쉽게 교육하고 누구나 원하는 증상별 처치를 빠르게 검색하고 정확한 위치에 첨압 할 수 있으며 귀 반사 기본 자료, 인체상응 관계도, 첨압 관련 리포트 및 증상별 처치 리포트 등을 인쇄로도 가능하여 민간인들도 쉽게 활용할 수 있을 것으로 사료된다.

• 농촌계획
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• 제11권2호
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• pp.43-49
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• 2005

As information has been brought to public attention, information storage as well as information usability has been important. Rural information is produced in many areas and institutions. However, it is difficult to use rural information comprehensively. Since formats for management are various, it is difficult to have unified frame. In this research, a schema of database fer integrating rural data is designed to improve usability using dimensional modeling. First of all, rural data are analyzed for designing integrated rural database schema. Rural data used are 'National Agricultural Statistics' and 'Gun annual statistical report'. Analysis shows that there are three considerations; administrative district, time-dependency and classification of data. Considering these three requisite, we designed database schema using dimensional modeling. The reason of using dimensional modeling is to improve usability and effectiveness. If the database was designed using ER modeling, many tables have to be joined every searching time. Separately from integrated rural database schema, user's database schema is designed considering usability. Through user's database, users can modify data or generate new data and save these processes. These make it possible to use generated data repeatedly. We evaluate usability, contribution, and effectiveness of data manipulation on the integrated rural database. We propose an integrated rural database structure improving the accessibility and usability of rural data and information and verified the data model based on a practical example.

• 지역연구
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• 제33권1호
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• pp.29-41
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• 2017

본 논문에서는 서울 대도시권의 대중교통체계를 구성하는 서울 시내버스 시스템과 수도권 지하철 시스템을 통합한 교통망의 각 노드인 버스정류장이나 지하철역의 시간거리 접근성을 계산하는 알고리즘을 제안하고 그 결과를 분석한다. 서울 대도시권 대중 교통망 그래프의 링크는 승객들이 노드들을 이동하는 데 소요되는 시간을 가중치로 설정하였다. 버스 노선과 지하철 노선의 노드들을 연결하는 링크들의 가중치는 교통카드 트랜잭션 데이터베이스로부터 추출된 노선별 속도에 따라 인접한 노드들 사이의 이동시간으로 설정하고, 승객들이 도보로 이동할 수 있는 일정 거리 이내인 노드들 사이의 링크의 가중치는 승객의 도보 이동 시간으로 설정하였다. 최단 경로의 시간거리를 찾는 알고리즘의 입력으로 링크들의 가중치를 표현한 시간 거리 인접 행렬을 사용하고 그 출력으로 노드들의 최단 시간 거리 행렬을 구하여 각 노드의 접근도와 평균 이동시간을 계산하였다. 2013년도 데이터를 사용한 실험 결과에서 서울 대도시권 대중교통체계 통합 교통망의 노드들의 개수는 서울 시내 600개 버스노선들에 연결되어 있는 버스정류장 15,702개와 수도권 지하철 16개 노선들에 연결된 지하철역 575개를 합하면 16,277개가 된다. 이 논문에서 서울 대도시권 통합 교통망과 이미 연구되었던 서울 시내버스 교통망 및 수도권 지하철 교통망을 평균 접근도와 평균 이동시간 관점에서 비교 분석하였다. 본 논문은 서울 대도시권 대중교통체계의 버스와 지하철 통합 교통망에서 각 노드의 접근도를 계산하는 첫 번째 연구 결과를 서술한다.

• 보건행정학회지
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• 제20권4호
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• pp.74-96
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• 2010

The purpose of this empirical study is to evaluate efficiency of the regional public hospitals, using DEA(Data Envelopment Analysis). to do this, we design a DEA-AR/AHP Hybrid model to evaluate efficiency of 34 Regional Public Hospitals. the proposed model is developed by adding Acceptance Region(AR). using analytical hierarchy process(AHP). this model is compared with those of typical DEA models. Financial data used in this study were obtained from Database of the Korea Association Regional Public Hospital and analyzed using DEA model. As a result of analysis, This study found that the DEA-AR/AHP Hybrid model was superior to those typical DEA models in determining the priority among efficient hospitals. the result of this study can provide helpful information to evaluate the efficiency of public hospitals for efficient operational management, to develop more precise measurement for the priority of the efficient hospitals.

• 디지털융복합연구
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• 제18권2호
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• pp.37-46
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• 2020

본 연구의 목적은 공공부문에서 여성의 참여를 확대하기 위해 구축한 여성 인재 데이터베이스의 현황에 대해 살펴보고, 활용을 위한 방안을 도출하는 것이다. 이를 위해 여성가족부가 구축 및 관리하고 있는 여성 인재 데이터베이스와 인천광역시의 사례를 분석하였다. 그리고 인천광역시에서 여성 전문인을 대상으로 실시한 설문조사 결과를 분석하여 정책적 시사점을 도출하였다. 여성 인재 데이터베이스 활용을 위한 정책적 시사점은 첫째, 여성 인재 데이터베이스의 재정비, 최신정보 업데이트 등 체계적인 관리가 필요하다. 둘째, 여성 인재 현황 및 활용 추이 등을 홈페이지를 통해 자세히 공개할 필요가 있다. 셋째, 국가 차원의 적극적인 모니터링을 통한 사후점검이 필요하고, 가능하다면 결과를 기관 성과 평가에 반영할 필요가 있다. 넷째, 여성 인재 데이터베이스가 경력단절 여성 뿐 아니라 신진 인재들에게도 활용이 될 수 있도록 정기적이고, 장기적인 관점의 홍보 전략이 필요하다. 이 연구를 바탕으로 향후 여성 인재 데이터베이스를 통해 사회에 진출한 여성이 사회적 소수자로써 어떻게 대표성을 발휘하는지에 대한 후속연구가 필요할 것이다.

• 한국환경복원기술학회지
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• 제25권4호
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• pp.49-65
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• 2022

Since trees in the city are green assets that create a healthy environment for the city, systematic management of trees improves urban ecosystem services. The sporadic urban tree information centered on the site is vast, and it is difficult to manage the data, so efforts to increase efficiency are needed. This paper summarizes tree data inventory based on data constructed by Seoul Green Trust activists and constructs and discloses online database maps using Tableau Software. In order to verify the utilization of the map, we divided into consumer and supplier aspects to collect various opinions and reflect feedback to implement tree database maps for each area and species of Seoul Forest. As a result, the utilization value of tree database in urban parks was presented. The technical significance of this study is to systematically record the process of constructing and implementing a dashboard directly using the Mapbox platform and Tableau Software in the field of landscaping for the first time in Korea. In addition, the implications and supplements of landscape information were derived by collecting user opinions on the results. This can be used as an exploratory basis in the process of developing online-based services such as web and apps by utilizing landscaping tree information in the future. Although the visualization database currently constructed has limitations that ordinary users cannot interact in both directions because it utilizes business intelligence tools in terms of service provision it has affirmed both the database construction and its usability in web public format. In the future it is essential to investigate the assets of the trees in the city park and to build a database as a public asset of the city. The survey participants positively recognized that information is intuitively presented based on the map and responded that it is necessary to provide information on the overall urban assets such as small parks and roadside trees by using open source maps in the future.

• 한국생물정보학회:학술대회논문집
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• 한국생물정보시스템생물학회 2003년도 제2차 연례학술대회 발표논문집
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• pp.66-72
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• 2003

Toxicogenomics is now emerging as one of the most important genomics application because the toxicity test based on gene expression profiles is expected more precise and efficient than current histopathological approach in pre-clinical phase. One of the challenging points in Toxicogenomics is the construction of intelligent database management system which can deal with very heterogeneous and complex data from many different experimental and information sources. Here we present a new Toxicogenomics database developed as a part of 'Toxicogenomics for Efficient Safety Test (TEST) project'. The TEST database is especially focused on the connectivity of heterogeneous data and intelligent query system which enables users to get inspiration from the complex data sets. The database deals with four kinds of information; compound information, histopathological information, gene expression information, and annotation information. Currently, TEST database has Toxicogenomics information fer 12 molecules with 4 efficacy classes; anti cancer, antibiotic, hypotension, and gastric ulcer. Users can easily access all kinds of detailed information about there compounds and simultaneously, users can also check the confidence of retrieved information by browsing the quality of experimental data and toxicity grade of gene generated from our toxicology annotation system. Intelligent query system is designed for multiple comparisons of experimental data because the comparison of experimental data according to histopathological toxicity, compounds, efficacy, and individual variation is crucial to find common genetic characteristics .Our presented system can be a good information source for the study of toxicology mechanism in the genome-wide level and also can be utilized fur the design of toxicity test chip.

• 한국컴퓨터정보학회논문지
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• 제22권9호
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• pp.99-105
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• 2017

In this paper, we propose to design and implement the database management system for analyzing vehicle accidents through utilizing integration of the public big data. And the paper aims to provide valuable information for recognizing seriousness of the vehicle accidents and various circumstances at the accident time, and to utilize the produced information for the insurance company policies as well as government policies. For analysis of the vehicle accidents the system utilizes the integrated big data of National Indicator System, the Meteorological Office, National Statistical Office, Korea Insurance Development Institute, Road Traffic Authority, Ministry of Land, Infrastructure and Transport as well as the National Police Agency, which differentiates this system from the previous systems. The system consists of data at the accident time including weather conditions, vehicle models, age, sex, insurance amount etc., by which the database system users are able to obtain the integral information about vehicle accidents. The result shows that the vehicle accidents occur more frequently in the clear weather conditions, in the vehicle to vehicle conditions and in crosswalk & crossway. Also, it shows that the accidents in the cloudy weather leads more seriously to injury and death than in the clear weather. As well, the vehicle accident information produced by the system can be utilized to effectively prevent drivers from dangerous accidents.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제16권9호
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• pp.2991-3007
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• 2022

Two dimensional locality preserving projections (2D-LPP) is an improved algorithm of 2D image to solve the small sample size (SSS) problems which locality preserving projections (LPP) meets. It's able to find the low dimension manifold mapping that not only preserves local information but also detects manifold embedded in original data spaces. However, 2D-LPP is simple and elegant. So, inspired by the comparison experiments between two dimensional linear discriminant analysis (2D-LDA) and linear discriminant analysis (LDA) which indicated that matrix based methods don't always perform better even when training samples are limited, we surmise 2D-LPP may meet the same limitation as 2D-LDA and propose a novel matrix exponential method to enhance the performance of 2D-LPP. 2D-MELPP is equivalent to employing distance diffusion mapping to transform original images into a new space, and margins between labels are broadened, which is beneficial for solving classification problems. Nonetheless, the computational time complexity of 2D-MELPP is extremely high. In this paper, we replace some of matrix multiplications with multiple multiplications to save the memory cost and provide an efficient way for solving 2D-MELPP. We test it on public databases: random 3D data set, ORL, AR face database and Polyu Palmprint database and compare it with other 2D methods like 2D-LDA, 2D-LPP and 1D methods like LPP and exponential locality preserving projections (ELPP), finding it outperforms than others in recognition accuracy. We also compare different dimensions of projection vector and record the cost time on the ORL, AR face database and Polyu Palmprint database. The experiment results above proves that our advanced algorithm has a better performance on 3 independent public databases.