• 제목/요약/키워드: Knowledge based systems

검색결과 2,131건 처리시간 0.029초

간호대학생들의 시스템 사고 기반 천식환자 간호과정 분석 (Analysis of Asthma Patient Nursing Process Based on the Systems Thinking of Nursing Students)

  • 김현영;오현수;윤은경
    • 한국시스템다이내믹스연구
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    • 제14권2호
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    • pp.55-69
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    • 2013
  • The purpose of this study is to analyze nursing students' proficiency with ST(Systems Thinking) approach concerning asthma patient nursing process. For this study, 20 nursing students created causality cognitive maps which were consisted of the contents of 'asthma nursing care'. The word association and causality cognitive map were used to estimate ability of the ST. As a result, the students failed to understand the nursing process with the ST approach, or alternatively they applied low level ST approach and had a lower understanding of it. The findings of this study suggest that the development of a ST-based nursing educational program in order for nursing students to improve their ST ability as well as knowledge integration for multidisciplinary practice.

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Requirement-Oriented Entity Relationship Modeling

  • Lee, Sang-Won;Shin, Kyung-Shik
    • Journal of Information Technology Applications and Management
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    • 제17권3호
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    • pp.1-24
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    • 2010
  • Most of enterprises depend on a data modeler during developing their management information systems. In formulating business requirements for information systems, they widely and naturally use the interview method between a data modeler and a field worker. But, the discrepancy between both parties would certainly cause information loss and distortion that lead to let the systems not faithful to real business works. To improve or avoid modeler-dependant data modeling process, many automated data design CASE tools have been introduced. However, since most of traditional CASE tools just support drawing works for conceptual data design, a data modeler could not generate an ERD faithful to real business works and a user could not use them without any knowledge on database. Although some CASE tools supported conceptual data design, they still required too much preliminary database knowledge for a user. Against these traditional CASE tools, we proposed a Requirement-Oriented Entity Relationship Model for automated data design tool, called ROERM. Based on Non-Stop Methodology, ROERM adopts inner systematic modules for complete and sound ERD that is faithful to real field works, where modules are composed of interaction modules with a user, rules of schema operations and sentence translations. In addition to structure design of ROERM, we also devise detailed algorithms and perform an experiment for a case study.

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건설분야 전자매뉴얼(IETM) 특성화 방안 (A Scheme for discriminating Construction IETM from existing systems)

  • 정진욱;박문서;이현수;지세현
    • 한국건설관리학회:학술대회논문집
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    • 한국건설관리학회 2008년도 정기학술발표대회 논문집
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    • pp.698-701
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    • 2008
  • 최근 건설분야 분야에 소개되어 연구 발전되고 있는 전자매뉴얼(IETM : Interactive Electronic Technical Manual)은 프로젝트 관계자들에게 공사와 관련된 절차와 정보를 적시에 제공한다는 점에서 유용한 도구로 인식되지만 PMIS(Project Management Information System)나 KMS(Knowledge Management System)과 같은 기존의 건설정보 시스템들과 개념 및 성격이 비슷하다는 문제점을 가지고 있다. 이는 전자매뉴얼의 개념을 초기에 특성화하지 않으면 기존 시스템들과 유사한 성격의 시스템이 재생산 될 수 있다는 것을 의미한다. 이러한 문제점을 해결하기 위해 본 연구에서는 전자매뉴얼의 개념에 대하여 고찰하고 기존의 건설정보 시스템과의 차별화 전략에 대해 살펴보고자 한다.

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Implementation of Artificial Intelligence Systems for Agri-food Supply Chains: A Bibliometric Approach

  • Javier RAMIREZ;Henry HERRERA;Osman REDONDO;Sofia SULBARAN
    • 유통과학연구
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    • 제22권6호
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    • pp.83-93
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    • 2024
  • Purpose: The present study is developed with the aim of mapping the trends in scientific production related to the implementation of artificial intelligence systems for agro-food supply chains. Research design, data and methodology: The methodological approach of the research shows a descriptive documentary process based on bibliometric techniques for mapping the main indicators of the area of knowledge through the establishment of a search equation in Scopus. Results: The research results show a total of 633 documents published between 2019 and 2023, with a great annual growth rate of 61.68%; In addition to a notable participation of countries such as India, China, the United Kingdom and the United States in the generation of new knowledge related to artificial intelligence applied to food distribution systems. Conclusions: It is concluded that the rise of new artificial intelligence technologies has shown extremely important results in the development of industries worldwide, with increasingly accelerated steps; which certainly translates into the creation of spaces and incentives in the production of research aimed at understanding these dynamics and in turn to propose new alternatives and proposals for the reduction of the large technological gaps that are present within the agro-food sector.

A New Landmark-Based Visual Servoing with Stereo Camera for Door Opening

  • Han, Myoung-Soo;Lee, Soon-Geul;Park, Sung-Kee;Kim, Munsang
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2002년도 ICCAS
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    • pp.100.2-100
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    • 2002
  • In this paper we propose a new visual servoing method for door opening with mobile manipulator. We use an eye-to-hand system that stereo camera is mounted on mobile platform, and adopt the position-based method. The previous methods for door opening mostly used eye-in-hand system with mono camera and required predefined knowledge such as radius and position about door grip, which was mainly caused by using mono cam era. This is also a severe constraint for pursuing general-purpose algorithm for door opening. For overcoming such drawback, we use stereo camera and suggest a new method that detect the door grip and estimate its pose from stereo depth information without predefined knowledge. Al...

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전문가 지식을 이용한 화력 발전소 드럼형 보일러 PI 제어기의 자동 동조에 관한 연구 (Expert knowledge-based auto-tuning of PI controllers for a drum-type boiler of fossil power plant)

  • 권만준;황동환;변증남
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1991년도 한국자동제어학술회의논문집(국내학술편); KOEX, Seoul; 22-24 Oct. 1991
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    • pp.219-225
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    • 1991
  • The characteristics of a power plant changes as it operates for a long time and/or for different operating points. As a result, operators must retune gains of the controllers for better performance. In fact, skilled operators can retune the gains in reference to recorded data obtained by a test called dynamic test. The dynamic test, however, requires much time, and can be heavy burden for operators. In this paper, an expert knowledge-based auto-tuner is designed for drum-type boiler controllers of a fossil power plant using fuzzy logic. The performance of the proposed auto-tuner is shown via computer simulation and the simulation results show that the proposed auto-tuner is satisfactory for the desired performance.

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현가장치의 성능향상을 위한 지능형 제어로직에 관한 연구 (A Study on the Knowledge Based Control Algorithm for Performance Improvement of the Automotive Suspension System)

  • 소상균;변기식
    • 동력기계공학회지
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    • 제5권2호
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    • pp.87-92
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    • 2001
  • Automotive suspension system is a mechanism for isolation of the vibration coming from the road inputs. Recently, the electronically controlled suspension systems which may improve ride and handling performance have been developed. Here, the continuously controlled semi-active suspension system is focused. As a mechanism to control damping forces continuously, a solenoid valve is used. The modeling for the solenoid valve is introduced briefly, a vehicle dynamics modeling is constructed, and then combined system model is completed. To design the efficient control algorithm for the semiactive suspension system the knowledge based fuzzy logic is applied and the technique how to apply the sky-hook theory to the fuzzy logic is developed. Finally, to confirm the improvement of performance the computer simulation is carried out.

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자기학습 규칙베이스 조립알고리즘 (A self-learning rule-based assembly algorithm)

  • 박용길;조형석
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1992년도 한국자동제어학술회의논문집(국내학술편); KOEX, Seoul; 19-21 Oct. 1992
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    • pp.1072-1077
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    • 1992
  • In ths paper a new active assembly algorithm for chamferless precision parts mating, is considered. The successful assembly task requires an extremely high position accuracy and a good knowledge of mating parts. However, conventional assembly mehtod alone makes it difficult to achieve satisfactory assembly performance because of the complexity and the uncertainties of the process and its environments such as imperfect knowledge of the parts being assembled as well as the limitation of the devices performing the assebled as well as the limitation of the devices performing the assembly. To cope with these problems, a self-learning rule-based assembly algorithm is proposed by intergaring fuzzy set theory and neural network. In this algortihm, fuzzy set theory copes with the complexity and the uncertainties of the assembly process, while neural network enhances the assembly schemen so as to learn fuzzy rules form experience and adapt to changes in environment of uncertainty and imprecision. The performance of the proposed assembly algorithm is evaluated through a series of experiments. The results show that the self-learning fuzzy assembly scheme can be effecitively applied to chamferless precision parts mating.

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시스템 사고기반 울혈성 심부전 간호교육 시뮬레이션 프로그램 개발 및 적용 (Development and Application of a System Thinking-Based Approach with the Use of a Patient Simulator in Nursing Education : Focus on Congestive Heart Failure)

  • 김현영;윤은경
    • 한국시스템다이내믹스연구
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    • 제15권4호
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    • pp.61-84
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    • 2014
  • This study aims to explore the development and application of a simulated skills package designed to improve nursing students' knowledge integration and their system thinking(ST) skills about congestive heart failure(CHF) and to identify the change in students' ST levels using a ST-based learning approach. A simulated learning support package was developed by nurse educators and ST experts. The developed program was implemented with 35 third-year nursing students from S university in Seoul. The subjects improved their ST skills regarding CHF after intervention. Mean test scores for students completing the program were significantly higher than pre-intervention scores, including measures of direction of causality, polarity of causal relationship, feedback loop, polarity of feedback loop (reinforcing, balancing) and time delay (t=2.26~6.53, p=.030~p<.001). It is suggested that more educational programs be developed on various topics in order for nursing students to improve their ST skills as well as knowledge integration in clinical nursing practicum packages.

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지식기반 객체지향 군수시뮬레이션 모델에 관한 연구 - 초기군수지원성 분석모델을 중심으로 - (Knowledge Based and Object-Oriented Simulation Model for Logistics Analysis)

  • 마호명;최상영
    • 한국국방경영분석학회지
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    • 제22권1호
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    • pp.67-80
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    • 1996
  • Artificial Intelligence(AI) techniques and Object-Oriented(OO) techniques contribute to the simulation modeling of the complex systems. AI techniques are suitable to model human reasoning in the simulation. While OO techniques have advantages of re-usability, maintainability and extendability of the software. Thus, in this paper, we design a knowledge-based object-oriented simulation model, particularly for the logistics analysis of military armor vehicles. The simulation model consists of three modules i.e., scenario, simulation mechanism, and inference engine. The model is designed within the OO paradigm and implemented by using the C++ language. An example case of using the model for the logistic analysis is included.

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