• Journal of Korea Water Resources Association
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• v.32 no.1
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• pp.3-13
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• 1999

In this study, an alternative spatial analysis method against conventional methods such as Thiessen method, Inverse Distance method, and Kriging method, named Spatial-Analysis Neural-Network (SANN) is presented. It is based on neural network modeling and provides a nonparametric mean estimator and also estimators of high order statistics such as standard deviation and skewness. In addition, it provides a decision-making tool including an estimator of posterior probability that a spatial variable at a given point will belong to various classes representing the severity of the problem of interest and a Bayesian classifier to define the boundaries of subregions belonging to the classes. In this paper, the SANN is implemented to be used for analyzing a mean annual precipitation filed and classifying the field into dry, normal, and wet subregions. For an example, the whole area of South Korea with 39 precipitation sites is applied. Then, several useful results related with the spatial variability of mean annual precipitation on South Korea were obtained such as interpolated field, standard deviation field, and probability maps. In addition, the whole South Korea was classified with dry, normal, and wet regions.

• The KIPS Transactions:PartB
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• v.17B no.6
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• pp.459-466
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• 2010

Natural language processing has several ambiguity problems, and English-Korean machine translation especially includes those problems to be solved in each translation step. This paper focuses on resolving part-of-speech ambiguity of English words in order to improve the efficiency of English analysis, which is in part of efforts for developing practical English-Korean machine translation system. In order to improve the efficiency of the English analysis, the part-of-speech determination must be fast and accurate for being integrated with machine translation system. This paper proposes the probabilistic models for part-of-speech determination. We use Penn Treebank corpus in building the probabilistic models. In experiment, we present the performance of the part-of-speech determination models and the efficiency improvement of the machine translation system by the proposed part-of-speech determination method.

• The KIPS Transactions:PartC
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• v.14C no.3 s.113
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• pp.305-312
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• 2007

In this paper, we present a received signal strength (RSS) prediction model to timely Initiate link layer triggers for fast handoff in a wireless LAN system. Noting that the distance between a mobile terminal and an access point is not changed abruptly in a short time interval, an adaptive RSS predictor based on a stationary time series model is proposed. RSS data obtained from ns-2 simulations are used to identity the time series model and verify the predictability of the RSS data. The results suggest that an autoregressive process of order 1 (AR(1)) can be used to represent the measured RSSs in a short time interval and predict at least 1-step ahead RSS with a high confidence level.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.4
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• pp.780-786
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• 2015

Social media, such as Social Network Service include a lot of spontaneous opinions from customers, so recent companies collect and analyze information about customer feedback by using the system that analyzes Big Data on social media in order to efficiently operate businesses. However, it is difficult to analyze data collected from online sites accurately with existing morpheme analyzer because those data have spacing errors and spelling errors. In addition, many online sentences are short and do not include enough meanings which will be selected, so established meaning selection methods, such as mutual information, chi-square statistic are not able to practice Emotional Classification. In order to solve such problems, this paper suggests a module that can revise the meanings by using initial consonants/vowels and phase pattern dictionary and meaning selection method that uses priority of word class in a sentence. On the basis of word class extracted by morpheme analyzer, these new mechanisms would separate and analyze predicate and substantive, establish properties Database which is subordinate to relevant word class, and extract positive/negative emotions by using accumulated properties Database.

• Journal of Korean Library and Information Science Society
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• v.45 no.4
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• pp.277-308
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• 2014

The purposes of this article are to raise the quality issues of Korean academic library collections and explore the feasible solutions to resolve the quality problems. To the end a thorough examination on the quality of Korean academic library collections is at the first hand carried out, and then followed is a careful investigation on the various causes of 'surprisingly low quality' of Korean academic library collections. Finally discussed is the solutions to improve the low quality of library collections at both national and individual academic library level. Discussions on this article are based on the sample data with 10 major academic libraries in South Korea.

• Journal of the Korea Computer Industry Society
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• v.4 no.4
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• pp.455-466
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• 2003

A self-selected web survey was utilised to Investigate the preference of online holiday travellers to the Internet functions applied to the extensive decision-making process by adoptingthe Canberra tourism website as a case study in Australia. The use of web-based surveys is not at a mature stage, compared to other traditional surveys such as mail survey and telephone survey that have already-known home addresses and phone numbers as a frame population. The adopted web survey relies on non-probability sampling without a known frame population thatcan cause serious research errors. Therefore, the results of this study need to be compared to other official published statistics in order toverify reliability or credibility of the self-selected web survey. This study discusses the extent to which the self-selected web survey can be validated by finding the significant difference not only between the demographic results of web survey and those of official statistics released by several articles including the Graphic, Visualizations and Usability Center (GVU) at Georgia Tech research but also between the travel background features and those of ‘ACT Tourism Masterplan 2001-2005’published by the Canberra Tourism ＆ Event Corporation (CTEC) located in Australian Capital Territory (ACT).

• The Journal of the Korea Contents Association
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• v.18 no.7
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• pp.656-664
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• 2018

The following study was conducted to determine the optimal location in terms of efficiency for solar energy facilities, and to propose a policy implications for the orientation of the installments. 92 cases in Jeollanam-do Province were selected. A regression analysis was performed between the average electricity generation time as the dependent variable, and the facility, weather and site conditions as the independent variables. As a result, 5 variables were deemed significant. Larger site areas, closer proximity to rivers, islands, oceans, etc., least south-oriented, higher average wind speed, and facilities in agricultural land use and natural environment conservation land use had the highest efficiency. This study minimized the possibility of secure databases and errors following facility types, and was limited in the number of sites studied, since this was only conducted in Jeollanam-do Province. Nevertheless, these conclusions still offer important policy implications for determining the most optimal location for solar energy facilities.

• Strategy21
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• s.45
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• pp.91-115
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• 2019

When compared to land territorial claims, maritime claims have not attracted as much attention from the public as well as the academia. However, after the ICOW (Issue Correlates of War) data was published and was expanded to include maritime and river claims, there have been many quantitative studies that analyze maritime claims or separate different types of territorial claims to explain various mechanisms over different types of territorial claims. These quantitative studies have provided valuable explanations about the onset and the management of maritime claims. This research tries to review these quantitative research. Most studies about maritime claims, especially regarding the management of claims, analyze maritime claims based on two different levels of factors. First, from the perspective of systemic level, several studies focus on the role of international institutions and systemic level of democracy to explain the management of maritime claims. Second, at the dyadic level, many studies explain how the issue salience, past experience, the presence of resources, joint democracy, and relative power influence the occurrence of peaceful settlement attempts or conflictual behaviors over maritime claims. Based on the review of these literature, this research tries to identify several factors to explain the Dokdo issue and to encourage peaceful settlement attempts over the Dokdo issue.

• Spatial Information Research
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• v.21 no.5
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• pp.23-32
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• 2013

The work establishing effective development and conservation plan and identifying current usage of national territory is an important task of the nation. In spite of the investigation being executed by law up to about 60 different, collecting information, method and time are different between them, so it causes duplication of the budget and policy confusion. And land use listed in the cadastral book officially represents the status of land use, but it is not easy to change according to current use. Therefore collection and information in a consistent manner is necessary to build up. In this study, for the national territory including public waters and underground space, we would like to analyse current land use information collection method and suggest system construction, legal system improvement and information utilization strategies. For the accurate and consistent land management, as a result, 3 dimensional land(include underground, public water and sea etc.) use status inspection and information management is needed. And the new act should be enacted and exclusive organization also be designated.

• Proceedings of the Korea Society of Information Technology Applications Conference
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• 2002.11a
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• pp.304-318
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• 2002

본 연구는 종합병원에서 운영중인 병원정보시스템(Hospital Information System)을 기준으로 업무별 데이터 마트를 구성하여 종합병원 데이터 웨어하우스 시스템을 제안하는 연구이다. 본 연구에서 제안한 병원 데이터웨어하우스 모형은 충남대학교병원 데이터 웨어하우스 시스템 구축 보고서, Inmon의 데이터 웨어하우스 개발방법론에 기초를 두었다. 종합병원의 데이터하우스시스템을 제안하면 다음과 같다. 첫째, 원무 데이터마트, 병원의 원무팀에서 주로 사용하는 것으로써 수입에 관련된 정보, 진료인원에 관한 정보, 심사/청구/삭감에 관한 정보들로 구성되어 있다. 둘째, 약국 데이터마트, 처방전달 데이터 마트와 연결되어 외래/입원의 처방에 관한 정보, 약에 대한 효능과 성분에 대한 정보, 투약과 검사에 대한 정보들로 구성된다. 셋째, 의무기록 데이터마트, 의무기록팀에서 관리하는 퇴원 정보, 암환자에 대한 정보, 외래/입원 환자 통계에 대한 정보들로 이루어진다. 넷째, 처방전달 데이터마트, 주로 의사가 환자에게 행한 처치/처방/수술과 진료기록에 대한 정보들을 기준으로 환자진료나 임상연구에 필요한 정보를 제공한다. 다섯째, 병원 행정 데이터마트, 인사정보, 급여정보, 회계정보, 예산정보, 물류정보 등으로 구성되어 병원의 자원활용이나 행정에 대한 전반적인 정보를 제공한다. 여섯째, 경영지원 데이터마트, 병원경영에 필요한 수입정보, 원가분석 정보, 진료인원 정보들을 한 형태로 제공한다. 또한 의사결정 형태도 의료진 중심의 병원에서 환자중심의 병원으로 구조를 바꾸었고 투명한 정보공유와 기초 데이터들의 정제는 부가가치가 높은 정보로 가공할 수 있게 되었으며 각 전문 직종간의 단절된 정보 흐름을 유기적으로 교환할 수 있게 되어 지식의 교환을 촉진시켰다. 그리고 온라인거래처리시스템(OLTP)의 한계점인 하드웨어적인 문제와 성능 저하에 대한 문제를 해결하였고, OLTP시스템에서 분리되고 이원화된 코드체계와 데이터 형태의 이질화를 통일하는 방법으로 데이터웨어하우스 시스템을 제시하였다. 결국 병원에서 데이터웨어하우스 시스템의 구축은 임상, 연구, 교육의 유기적 순환관계를 정립하여 지식의 순환적 고리인 수집, 공유, 확산, 재창출을 지속적 유지할 수 있는 인프라를 구축해 준다. 반면 상이한 정보들간의 충돌과 이에 따른 해석의 오류로 잘못된 의사결정을 위한 정보를 제공할 수 있고 기초정보의 접근 및 추출의 유용성에 의해서 정보유출에 대한 문제가 한계점으로 나타났다.