• 제목/요약/키워드: Non-hierarchy

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배전운영시스템용 응용 프로그램을 위한 공통 데이터베이스 구축 (Development of Common Database for the Application Programs of Distribution Management System)

  • 윤상윤;추철민;권성철;이학주
    • 전기학회논문지
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    • 제62권9호
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    • pp.1199-1208
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    • 2013
  • In recent years, the development of application programs for distribution system analysis and control has been essential part for distribution management system (DMS). In this paper, we propose the common database for application programs of distribution management system. The proposed database model has several characteristics as followings. First, the proposed database model is designed for the common use of almost the whole distribution application software. The static equipment model and dynamic type tables are mixed and the parallel table structure is applied. Second, the linked list structure of database are used for the fast processing of applications. The database model includes the hierarchy and non-hierarchy distribution system structure. Third, the reduction method of distribution database is applied. For this, we present the network reduction rules. The basic concept of reduction rules are the electrical unification of successive line section which has not lateral branches and the removal of simple lateral branches which has no devices and other laterals. Proposed database model is tested for the Jeju system of Korea Electric Power Corporation (KEPCO). Through the test, we verified that the proposed database structure can be effectively used to accomplish the distribution system operation.

사전 뜻 풀이말에서 구축한 한국어 명사 의미 계층구조 (A Semantic Hierarchy of Korean Nouns using the Definitions of Words in a Dictionary)

  • 조평옥;안미정;옥철영;이수동
    • 인지과학
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    • 제10권3호
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    • pp.1.1-10
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    • 1999
  • 한국어 명사들을 의미별로 분류하여 계층화시킨‘한국어 명사 의미 계층 구조’는, 한국어 문장을 처리할 때 의미 정보를 제공할 수 있는 매우 중요한 것들 중의 하나이다. 본 논문에서는, 국어 사전의 명사에 대한 뜻 풀이말을 이용하여 bottom-up 방식으로‘한국어 명사 의미 계층 구조’를 구축하였다. 본 논문에서 구축한‘한국어 명사 의미계층 구조’는, 트리(tree)가 43개, 중간 노드(node)가 2,443개, 단말 노드(terminal node)가 10,347개이며, 깊이(depth)가 17인 하나의 포리스트(forest)를 이룬다. 이것의 제 1, 2 계층(level 1, 2)에서의 분류 형태는 top-down 방식에 의한 기존의 분류들과 매우 다른 모습인 반면에, 제 3 이하의 계층들은 상당히 객관적이 형태를 이루고 있다.

계층분석법을 이용한 적정 수변구역 결정에 관한 연구 (A Study on Determination of an Optimum Riparian Buffer Zone Based on Analytical Hierarchy Process)

  • 한혜진;박석순
    • 한국물환경학회지
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    • 제20권6호
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    • pp.555-562
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    • 2004
  • This paper presents the development and application of a riparian buffer zone design model(RBZDM). The model was developed as a decision-making tool for watershed management, by integrating geographic information system(GIS) and analytical hierarchy process(AHP) theory. Several factors for watershed management, such as pollution removal capacity, land aquisition cost, distribution of point and non-point pollution sources, and possibility of new pollution source location, were analyzed based on AHP theory. The vegetated buffer zone width was designed using GIS-based riparian buffer analysis. The developed model was applied to the Kyoungan Stream watershed, which is an important part of Paldang lake catchment area. The Kyoungan stream watershed was divided into sixteen subbasins. Six of them belong to the main stem, where the model was applied. Ten alternatives of buffer zone width and five hierarchial levels were designed. The relative importance and the relative preference were computed by pair-wise comparison of evaluation criteria given in hierarchial levels. The buffer zone width was determined by linear function of the given alternatives and relative preferences. From this study, it was determined that the six buffer zone widths of Kyoungan main stems would be 1,594, 1,744, 1,856, 1,782, 1,338, 1,780 meter, from upstream to downstream.

의도계층을 이용한 그룹간 상호 협력 모델의 설계 (Design of A Group Cooperating Model Based on Intention Hierarchy)

  • 장영철;이창훈
    • 한국정보처리학회논문지
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    • 제5권6호
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    • pp.1575-1582
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    • 1998
  • 본 논문에서는 멀티에이전트 환경상에서 에이전트 그룹들이 문제 풀이 과정이 변화할 때 적절한 협력대상을 선택하여 문제 해결 능력을 증가 시킬 수 있도록 협력 모델을 설계하고 평가 하였다. 그룹간 협력의 방향과 범위를 결정하기 위해 그룹 이익함수를 사용하였고 그룹을 협력 관련 부분과 비 관련 부분으로 분리 운영하였다. 이렇게 상황에 따라 재구성되는 그룹들을 그룹 수준에서 운영하기 위해 기존의 자료와 목표(goal)가 아닌 그룹의도(group intention)를 제어 기준으로 사용하였다. 이로 인해 그룹들은 먼저 그룹의도를 결정하고 그룹의도의 범위 안에서 현 상황에 적절한 전략을 선택하는 계층적인 제어가 가능하게 되었다. 이상의 제안들은 추적게임 테스트베드에 적용하여 실험/평가 되었다.

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한국형 EMS 시스템의 Baseline 계통 해석용 소프트웨어 개발을 위한 데이터 모델링 (Data Modeling for Developing the Baseline Network Analysis Software of Korean EMS System)

  • 윤상윤;조윤성;이욱화;이진;손진만
    • 전기학회논문지
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    • 제58권10호
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    • pp.1842-1848
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    • 2009
  • This paper summarizes a data modeling for developing the baseline network analysis software of the Korean energy management system (EMS). The study is concentrated on the following aspects. First, the data for operating the each application software are extracted. Some of the EMS network application softwares are selected for basis model. Those are based on the logical functions of each software and are not considered the other softwares. Second, the common data are extracted for equipment model and topological structure of power system in Korea. We propose the application common model(ACM) that can be applied whole EMS network application softwares. The ACM model includes the hierarchy and non-hierarchy power system structure, and is connected each other using the direct and indirect link. Proposed database model is tested using the Korea Electric Power Corporation(KEPCO) system. The real time SCADA data are provided for the test. Through the test, we verified that the proposed database structure can be effectively used to accomplish the Korean EMS system.

한국어 명사의 시소러스 구축을 위한 시스템 설계 및 구현 (Design and Implementation of a System for Constructing Thesaurus of Korean Nouns)

  • 이종인;한광록;양승현;김영섬
    • 한국정보처리학회논문지
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    • 제6권2호
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    • pp.347-356
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    • 1999
  • 본 논문에서는 한국어 명사의 의미 개념의 계층을 생성하기 위한 시소러스 구성 방법과 시소러스를 구축하기 위한 개발 시스템을 구현하였다. 기존의 시소러스 구축에 있어서 나타나는 계층 설정의 비객관성 및 작업속도 문제, 비구조성, 비일관성 등의 문제를 해결하기 위하여 상향식과 하향식 방법을 혼합 적용하는 다단계 구축 방법을 사용한다. 온라인 전자 사전의 뜻풀이 문을 이용하여 객관성을 유지하고, 기존 시소러스의 기본 모델을 참조하여 비구조성과 비일관성의 문제를 해결한다. 또한 방대한 양의 표제어를 포함하는 시소러스를 빠른 시간 내에 구축하기 위하여 클라이언트/서버 환경의 개발 도구를 구현하여 여러 사람이 다중 입력 작업을 할 수 있도록 하였다.

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계층분석적 의사결정기법을 이용한 비점원오염 관리지역의 선정 (Selecting Target Sites for Non-point Source Pollution Management Using Analytic Hierarchy Process)

  • 신정범;박승우;김학관;최라영
    • 한국농공학회논문집
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    • 제49권3호
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    • pp.79-88
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    • 2007
  • This paper suggests a hierarchial method to select the target sites for the nonpoint source pollution management considering factors which reflect the interrelationships of significant outflow characteristics of nonpoint source pollution at given sites. The factors consist of land slope, delivery distance to the outlet, effective rainfall, impervious area ratio and soil loss. The weight of each factor was calculated by an analytic hierarchy process(AHP) algorithm and the resulting influencing index was defined from the sum of the product of each factor and its computed weight value. The higher index reflect the proposed target sites for nonpoint source pollution management. The proposed method was applied to the Baran HP#6 watershed, located southwest from Suwon city. The Agricultural Nonpoint Pollution Source(AGNPS) model was also applied to identify sites contributing significantly to the nonpoint source pollution loads from the watershed. The spatial correlation between the two results for sites was analyzed using Moran's I values. The I values were $0.38{\sim}0.45$ for total nitrogen(T-N), and $0.15{\sim}0.22$ for total phosphorus(T-P), respectively. The results showed that two independent estimates for sites within the test water-shed were highly correlated, and that the proposed hierarchial method may be applied to select the target sites for nonpoint source pollution management.

농업 부문 데이터 산업 경쟁력 제고 방안 (Exploring Enhancements of Data Industry Competitiveness in the Agricultural Sector)

  • 최하연;임예린;강승용;강승용;유도일
    • 농촌계획
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    • 제29권4호
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    • pp.137-152
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    • 2023
  • Data is indispensable for digital transformation of agriculture with the development of innovative information and communication technology (ICT). In order to devise and prioritize strategies for enhancing data competitiveness in the agricultural sector, we employed an Analytic Hierarchy Process (AHP) analysis. Drawing from existing research on data competitiveness indicators, we developed a three-tier decision-making structure reflecting unique characteristics of the agricultural sector such as farmers'awareness of the data industry or awareness of agriculture among data workers. AHP survey was administered to experts from both agricultural and non-agricultural sectors with a high understanding of data. The overall composite importance, derived from the respondents, was rated in the following order: 'Employment Support', 'Data Standardization', 'R&D Support', 'Start-up Ecosystem Support', 'Relaxation of Regulations', 'Legislation', and 'Data Analytics and Utilization Technology'. In the case of experts in the agricultural sector, 'Employment Support' was ranked as the top priorities, and 'Legislation', 'Undergrad and Grad Education', and 'In-house Training' were also regarded as highly important. On the other hand, experts in the non-agricultural sector perceived 'Data Standardization' and 'Relaxation of Regulations' as the top two priorities, and 'Data Center' and 'Open Public Data' were also highly rated.

비음수 행렬 분해와 동적 분류체계를 사용한 이메일 분류 (Email Classification using Dynamic Category Hierarchy and Non-negative Matrix Factorization)

  • 박선;안동언
    • 한국정보과학회 언어공학연구회:학술대회논문집(한글 및 한국어 정보처리)
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    • 한국정보과학회언어공학연구회 2009년도 제21회 한글 및 한국어 정보처리 학술대회
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    • pp.35-39
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    • 2009
  • 이메일의 사용증가로 수신 메일을 효율적이면서 정확하게 분류할 필요성이 점차 증가하고 있다. 현재의 이메일 분류는 베이지안, 규칙 기반 등을 이용하여 스팸 메일을 필터링하기 위한 이원 분류가 주를 이루고 있다. 클러스터링을 이용한 다원 분류 방법은 분류의 정확도가 떨어지는 단점이 있다. 본 논문에서는 비음수 행렬 분해(NMF, Non-negative Matrix Factrazation)를 기반으로 한 자동 분류 주제 생성 방법과 동적 분류 체계(DCH, Dynamic Category Hierachy) 방법을 결합한 새로운 이메일 분류 방법을 제안한다. 이 방법은 수신되는 이메일을 자동으로 분류하여 대량의 메일을 효율적으로 관리할 수 있으며, 분류 결과 사용자의 요구사항을 만족하지 못하면 메일을 동적으로 재분류 하여 분류 정확률을 높일 수 있다.

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AHP 기법을 활용한 외식산업의 발전 전략에 관한 연구: COVID-19 팬더믹 이후의 디지털, 비대면 전환에 대한 인식 (The Strategy Development of the Restaurant Industry through the AHP Analysis: Focusing on the Digital Conversion and Non-Contact Service after COVID-19 Pandemic)

  • 이봉식;박민재
    • 아태비즈니스연구
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    • 제12권4호
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    • pp.271-288
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    • 2021
  • Purpose - The purpose of this study is to identify the critical factors that restaurant management should consider strategically when making a decision after COVID-19 under the digital transformation and non-contact service expansions environment. Design/methodology/approach - The thirty six experts and managers who have 5 years or more experience in restaurant industry in Korea participate this study. The Analytic Hierarchy Process (AHP) and SER-M were used to analyze the experts' opinion Findings - As a result of the analysis, 'management environment' (0.313) showed the highest relative importance priority, followed by 'brand (0.263)', 'management characteristics (0.254)', and 'physical factors (0.17)'. And, as for the sub-factor value, 'lifestyle (0.087)', 'awareness (0.084)', 'consumer desire (0.075)', and 'loyalty (0.068)' were ranked highest among the 19 influencing critical factors. Research implications or Originality - In the case of large restaurant enterprises, it is judged that the subject(CEO, Management) is actively pursuing a strategy to acquire the necessary resources for the given environment of digital transformation and customer demand for non-contact services. On the other hand, in the case of middle and small restaurant enterprises, it seems that they are fully aware of the demand for expansion of non-contact services and the digital transformation required in the post COVID-19 era, but information technology utilization ability, usage experience, technology acceptance ability, and education and training support for this are only available to large enterprises.