• 제목/요약/키워드: Profile-Based Strategy

검색결과 71건 처리시간 0.023초

성과중심교육을 위한 옥내배선설비공사 수업 설계 교재 개발 (Course Design Manual Development on the Job of Indoor Wiring Installations Using ISD and DACUM process for Work Based Curriculum Development)

  • 김세동;김효진
    • 한국조명전기설비학회:학술대회논문집
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    • 한국조명전기설비학회 2002년도 학술대회논문집
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    • pp.363-368
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    • 2002
  • Performance-based course design on the job of receiving substation installations is presented to achieve a work based curriculum development. It includes a job analysis method called ISD(Instructional Systems Design & Development) and DACUM(Developing a Curriculum) which is designed to accept various requirements of industrial fields. It is provided with course profile, key contents, terminal learning objectives, intermediate learning objectives, instruction strategy, instruction sequence, case study, action learning and lesson plan.

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DACUM 및 ISD 수업설계 분석을 통한 자가용 변전설비공사 실무 교계 개발 (Course Design Manual Development on the Sob of deceiving Substation Installations Using ISD and DACUM process for Work Based Curriculum Development)

  • 김세동;김효진
    • 한국조명전기설비학회:학술대회논문집
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    • 한국조명전기설비학회 2001년도 학술대회논문집
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    • pp.151-156
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    • 2001
  • Performance-based course design on the job of receiving substation installations is presented to achieve a work based curriculum development. It includes a job analysis method called ISD(Instructional Systems Design & Development) and DACUM(Developing a Curriculum) which is designed to accept various requirements of industrial fields. It is provided with course profile, key contents, terminal learning objectives, intermediate learning objectives, instruction strategy, instruction sequence, case study, action learning and lesson plan.

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사용자 개인 프로파일을 이용한 개인화 검색 기법 (Personalized Search Technique using Users' Personal Profiles)

  • 윤성희
    • 한국전자통신학회논문지
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    • 제14권3호
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    • pp.587-594
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    • 2019
  • 본 논문은 사용자의 검색 의도와 개별 관심을 반영한 순위화된 검색 결과 문서를 제공하는 개인화 검색 기법을 제안한다. 개인화 검색에서는 사용자의 개별 관심사와 선호도를 정확하게 판별하기 위한 사용자 프로파일을 생성하는 기술이 개인화 검색의 성능을 좌우한다. 개인 프로파일은 사용자의 최근 입력 질의어들과 검색과정에서 참조했던 문서들에 나타나는 주제어들의 가중치와 빈도가 기록된 데이터 집합이다. 사용자 프로파일은 웹 검색에 앞서 사용자의 입력 질의어를 개인화된 질의어들로 확장하기 위해 사용된다. 중의적 질의어의 정확한 의미를 결정하기 위해서 워드넷을 사용하여 프로파일에 등록된 단어들과 의미 유사도를 계산한다. 검색 시스템의 사용자 측에 질의확장 모듈과 순위 재계산 모듈을 확장모듈로 구축하여 진행한 실험에서 개인화 검색 기술을 적용한 실험 결과가 상위문서들에 대해서 정확률과 재현률이 크게 향상된 성능을 보이고 있다.

질의기반 사용자 프로파일을 이용하는 개인화 웹 검색 (Personalized Web Search using Query based User Profile)

  • 윤성희
    • 한국산학기술학회논문지
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    • 제17권2호
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    • pp.690-696
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    • 2016
  • 사용자 입력 질의와 웹 문서에 포함된 단어들의 형태적 일치를 검사하여 관련 문서를 검색하는 검색엔진은 사용자의 개인별 관심 분야를 반영하는 검색 결과를 생성하기 어렵다. 본 논문에서는 개인별 관심사를 파악하여 질의 의도에 적합한 내용의 문서를 검색하는 개인화된 웹 검색 방법을 제안한다. 개인화 검색의 성능은 사용자의 개인적 관심사를 정확하게 표현하는 우수한 사용자 프로파일을 생성하는 전략에 좌우된다. 본 연구에서 개인 프로파일은 사용자가 최근 입력한 질의어들과 검색에서 클릭했던 문서들에 나타나는 주제어들이 출현 빈도를 반영한 가중치와 함께 등록된 데이터베이스이다. 특히 중의적 질의어의 정확한 의미를 결정하기 위해 워드넷을 기반으로 프로파일에 등록된 단어들과 의미 유사도를 계산한다. 기존 웹 검색 시스템의 사용자 측에 질의확장 모듈과 순위재계산 모듈을 추가하는 확장모듈을 구축하여 비교 실험하였으며, 본 연구의 방법을 적용한 개인화 웹 검색의 결과는 특히 10위 이내 상위의 결과 문서들에 대해 92%의 정확률과 82%의 재현율을 보여 향상된 성능을 검증하였다.

Effects of Consumers' Demographic Profile on Mobile Commerce Adoption

  • Lee, Jung-Wan;Cormier, James F.
    • 유통과학연구
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    • 제8권1호
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    • pp.5-11
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    • 2010
  • This study addresses a shift, generally positive, in the acceptance and adoption of mobile commerce. The study, based on data collected using a survey questionnaire from mobile phone users in South Korea, examined the relationships using factor analysis and multiple regression analysis methods. The results showed equal positive adoption rates across all demographics of age, education, and income, except for gender, in terms of attitudes toward mobile shopping. The rate of mobile commerce adoption was relatively stronger among females than males. This finding provides new developments to mobile service providers on the effect of demographic profile on consumers'behavior and attitudes toward mobile shopping. Based on the results of the study, practical implications for marketing strategies in mobile commerce markets are suggested.

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비선형 해양파의 파형 연구에 관하여 (A Study on Nonlinear Water-Wave Profile)

  • 장택수;황성현;권순홍
    • 한국해양공학회:학술대회논문집
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    • 한국해양공학회 2004년도 학술대회지
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    • pp.179-182
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    • 2004
  • This paper deals with a new mathematical formulation of nonlinear wave profile based on Banach fixed point theorem. As application of the formulation and its solution procedure, some numerical solutions was presented in this paper and nonlinear equation was derived. Also we introduce a new operator for iteration and getting solution. A numerical study was accomplished with Stokes' first-order solution and iteration scheme, and then we can know the nonlinear characteristic of Stokes' high-order solution. That is, using only Stokes' first-oder(linear) velocity potential and an initial guess of wave profile, it is possible to realize the corresponding high-oder Stokian wave profile with tile new numerical scheme which is the method of iteration. We proved the mathematical convergence of tile proposed scheme. The nonlinear strategy of iterations has very fast convergence rate, that is, only about 6-10 iterations arc required to obtain a numerically converged solution.

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Bargaining-Based Smart Grid Pricing Model for Demand Side Management Scheduling

  • Park, Youngjae;Kim, Sungwook
    • ETRI Journal
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    • 제37권1호
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    • pp.197-202
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    • 2015
  • A smart grid is a modernized electrical grid that uses information about the behaviors of suppliers and consumers in an automated fashion to improve the efficiency, reliability, economics, and sustainability of the production and distribution of electricity. In the operation of a smart grid, demand side management (DSM) plays an important role in allowing customers to make informed decisions regarding their energy consumption. In addition, it helps energy providers reduce peak load demand and reshapes the load profile. In this paper, we propose a new DSM scheduling scheme that makes use of the day-ahead pricing strategy. Based on the Rubinstein-Stahl bargaining model, our pricing strategy allows consumers to make informed decisions regarding their power consumption, while reducing the peak-to-average ratio. With a simulation study, it is demonstrated that the proposed scheme can increase the sustainability of a smart grid and reduce overall operational costs.

String Stability를 보장하는 정지/서행 순항제어 시스템 (A Stop-and-Go Cruise Control Strategy with Guaranteed String Stability)

  • 박요한;이경수
    • 한국자동차공학회논문집
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    • 제10권6호
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    • pp.227-233
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    • 2002
  • A vehicle longitudinal control strategy with guaranteed string stability for vehicle stop-and-go(SG) cruise control is presented in this paper. The SG cruise control systems should be designed such that string stability can be guaranteed in addition to that every vehicle in a string of SG cruise control vehicles must track any bounded acceleration and velocity profile of its preceding vehicle with a bounded spacing and velocity error. An optimal vehicle following control law based on the information of the 1311owing distance (clearance) and its velocity relative to the vehicle ahead (relative velocity) has been used and string stability analysis has been done based on the control law and constant time gap spacing policy, A validated multi-vehicle simulation package has been shown that the string stability analysis using the approximate model of the vehicle servo-loop which includes vehicle powertrain and brake control system dynamics is valid in the design of the SG cruise control law with guaranteed string stability.

도서 정보 및 본문 텍스트 통합 마이닝 기반 사용자 맞춤형 도서 큐레이션 시스템 (Personalized Book Curation System based on Integrated Mining of Book Details and Body Texts)

  • 안희정;김기원;김승훈
    • Journal of Information Technology Applications and Management
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    • 제24권1호
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    • pp.33-43
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    • 2017
  • The content curation service through big data analysis is receiving great attention in various content fields, such as film, game, music, and book. This service recommends personalized contents to the corresponding user based on user's preferences. The existing book curation systems recommended books to users by using bibliographic citation, user profile or user log data. However, these systems are difficult to recommend books related to character names or spatio-temporal information in text contents. Therefore, in this paper, we suggest a personalized book curation system based on integrated mining of a book. The proposed system consists of mining system, recommendation system, and visualization system. The mining system analyzes book text, user information or profile, and SNS data. The recommendation system recommends personalized books for users based on the analysed data in the mining system. This system can recommend related books using based on book keywords even if there is no user information like new customer. The visualization system visualizes book bibliographic information, mining data such as keyword, characters, character relations, and book recommendation results. In addition, this paper also includes the design and implementation of the proposed mining and recommendation module in the system. The proposed system is expected to broaden users' selection of books and encourage balanced consumption of book contents.

자동화된 변전소의 주변압기 사고복구를 위한 패턴인식기법에 기반한 실시간 모선재구성 전략 개발 (Real-Time Bus Reconfiguration Strategy for the Fault Restoration of Main Transformer Based on Pattern Recognition Method)

  • 고윤석
    • 대한전기학회논문지:전력기술부문A
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    • 제53권11호
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    • pp.596-603
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    • 2004
  • This paper proposes an expert system based on the pattern recognition method which can enhance the accuracy and effectiveness of real-time bus reconfiguration strategy for the transfer of faulted load when a main transformer fault occurs in the automated substation. The minimum distance classification method is adopted as the pattern recognition method of expert system. The training pattern set is designed MTr by MTr to minimize the searching time for target load pattern which is similar to the real-time load pattern. But the control pattern set, which is required to determine the corresponding bus reconfiguration strategy to these trained load pattern set is designed as one table by considering the efficiency of knowledge base design because its size is small. The training load pattern generator based on load level and the training load pattern generator based on load profile are designed, which are can reduce the size of each training pattern set from max L/sup (m+f)/ to the size of effective level. Here, L is the number of load level, m and f are the number of main transformers and the number of feeders. The one reduces the number of trained load pattern by setting the sawmiller patterns to a same pattern, the other reduces by considering only load pattern while the given period. And control pattern generator based on exhaustive search method with breadth-limit is designed, which generates the corresponding bus reconfiguration strategy to these trained load pattern set. The inference engine of the expert system and the substation database and knowledge base is implemented in MFC function of Visual C++ Finally, the performance and effectiveness of the proposed expert system is verified by comparing the best-first search solution and pattern recognition solution based on diversity event simulations for typical distribution substation.