• Title/Summary/Keyword: 지식 기반 설계

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Effect of Board Game Design Activity for Environmental Education on High School Students' Environmental Knowledge, Environmental Literacy and Creative Engineering Problem Solving Propensity (환경교육용 보드게임 디자인 활동이 고등학생들의 환경적 지식, 환경 소양과 창의 공학적 문제해결 성향에 미치는 영향)

  • Kim, JuHui;Nam, Younkyeong
    • Journal of the Korean Society of Earth Science Education
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    • v.15 no.1
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    • pp.117-131
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    • 2022
  • The purpose of this study is to develop a board game design activity for environmental education and to investigate how it affects high school students' environmental knowledge, environmental literacy, and creative engineering problem solving propensity. Twenty-five freshman and sophomore students belonging to the environmental club participated in this study. The board game activity was designed as 10 class hours lessons based on the engineering design process. The main data source of this study was pre-post students' conceptual maps of the environmental topics (global warming or ecosystem destruction) to measure the background knowledge on the topic. In addition, the environmental literacy measurement questionnaire and the creative engineering problem solving propensity questionnaire were collected before and after the activity. The result shows that the number of environment-related words described by the students on the post-concept map increased compared to the pre-concept map. In addition, the environmental literacy score and the creative engineering problem-solving propensity score increased significantly after performing the board game design activity. The results show that environmental lessons using board game design activities can help student develop various competencies in a good way. As above, research that combines board games and secondary education must be activated, and a new educational method and systemic support for in-service teachers who want to apply it to science classroom is required.

Design of Adaptive Neuro-Fuzzy Inference System Based Automatic Control System for Integrated Environment Management of Ubiquitous Plant Factory (유비쿼터스 식물공장의 통합환경관리를 위한 적응형 뉴로-퍼지 추론시 스템 기반의 자동제어시스템 설계)

  • Seo, Kwang-Kyu;Kim, Young-Shik;Park, Jong-Sup
    • Journal of Bio-Environment Control
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    • v.20 no.3
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    • pp.169-175
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    • 2011
  • The adaptive neuro-fuzzy inference system (ANFIS) based automatic control system framework was proposed for integrated environment management of ubiquitous plant factory which can collect information of crop cultivation environment and monitor it in real-time by using various environment sensors. Installed wireless sensor nodes, based on the sensor network, collect the growing condition's information such as temperature, humidity, $CO_2$, and the control system is to monitor the control devices by using ANFIS. The proposed automatic control system provides that users can control all equipments installed on the plant factory directly or remotely and the equipments can be controlled automatically when the measured values such as temperature, humidity, $CO_2$, and illuminance deviated from the decent criteria. In addition, the better quality of the agricultural products can be gained through the proposed automatic control system for plant factory.

Efficiency Evaluation of Genetic Algorithm Considering Building Block Hypothesis for Water Pipe Optimal Design Problems (상수관로 최적설계 문제에 있어 빌딩블록가설을 고려한 유전 알고리즘의 효율성 평가)

  • Lim, Seung Hyun;Lee, Chan Wook;Hong, Sung Jin;Yoo, Do Guen
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.21 no.5
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    • pp.294-302
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    • 2020
  • In a genetic algorithm, computer simulations are performed based on the natural evolution process of life, such as selection, crossover, and mutation. The genetic algorithm searches the approximate optimal solution by the parallel arrangement of Schema, which has a short definition length, low order, and high adaptability. This study examined the possibility of improving the efficiency of the optimal solution by considering the characteristics of the building block hypothesis, which are one of the key operating principles of a genetic algorithm. This study evaluated the efficiency of the optimization results according to the gene sequence for the implementation in solving problems. The optimal design problem of the water pipe was selected, and the genetic arrangement order reflected the engineering specificity by dividing into the existing, the network topology-based, and the flowrate-based arrangement. The optimization results with a flowrate-based arrangement were, on average, approximately 2-3% better than the other batches. This means that to increase the efficiency of the actual engineering optimization problem, a methodology that utilizes clear prior knowledge (such as hydraulic properties) to prevent such excellent solution characteristics from disappearing is essential. The proposed method will be considered as a tool to improve the efficiency of large-scale water supply network optimization in the future.

Effectiveness of Adaptive Navigation System for Group Activity at the Wiki-based Collaborative Learning (Wiki 기반 협력학습에서 적응적 내비게이션 시스템이 그룹 활동에 미치는 효과)

  • Han, Hee-Seop;Kim, Hyeoncheol
    • The Journal of Korean Association of Computer Education
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    • v.9 no.1
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    • pp.41-48
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    • 2006
  • The latest several studies show that Wiki is a very efficient tools for collaborative learning in the distributed environments. Even though Wiki supports efficient knowledge sharing between group members, there are still some problems to be solved for collaborative learning. Since the structure of group contents becomes more complex and the links between pages are dynamically changed, each member of group has difficulties to perceive the changed contents and links on group pages. We designed the adaptive navigation system to guide individual browsing paths of each member through the calculating of friendship and the state of pages. At first we developed the relation model between member and each pages by the historical log that stored the change of pages and the activity of members, and then we implemented the adaptive navigation system using the model. Experimental results show that this adaptive system is very effective to share the group knowledge and to promote collaborative learning activities.

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The Research for Cyber Security Experts (사이버보안 전문가 양성을 위한 연구)

  • Kim, Seul-gi;Park, Dea-woo
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.21 no.6
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    • pp.1137-1142
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    • 2017
  • Cyber hacking attacks and cyber terrorism are damaging to the lives of the people, and in the end, national security is threatened. Cyber-hacking attacks leaked nuclear power cooling system design drawings, cyber accidents such as hacking of Cheongwadae's homepage and hacking of KBS stations occurred. The Act on Information and Communication Infrastructure Protection, Promotion of Information and Communication Network Utilization and Information Protection, and the Personal Information Protection Act remove the responsibility for cyber attacks, but it is difficult to prevent attacks by hackers armed with new technologies. This paper studies the development of cyber security experts for cyber security. Build a Knowledge Data Base for cyber security professionals. Web hacking, System hacking, and Network hacking technologies and evaluation. Through researches on the operation and acquisition of cyber security expert certification, we hope to help nurture cyber security experts for national cyber security.

A Study on the Basic Architecture of an Agent System for Agent-based System Integration (에이전트 기반의 시스템 통합을 위한 에이전트 기본 아키텍쳐에 관한 연구)

  • Sang-Uk Lee;Kyu-Yeul Lee
    • Journal of the Society of Naval Architects of Korea
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    • v.36 no.3
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    • pp.93-106
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    • 1999
  • In this paper, the basic architecture of an agent system was designed and a KQML(Knowledge Query and Manipulation Language) handler was implemented to handle 'tell', 'ask', 'handles' and 'interested' KQML performatives. The basic architecture of an agent system consists of a KQML handler, a KIF interpreter and a Flow control code. Agents use KIF(Knowledge Interchange Format) to represent the actual knowledges that are transmitted. They communicate others via an external language called KQML, which contains contents of messages written in KIF. The KQML handler controls communication. Contents of messages through it are stored and interpreted by the KIF interpreter. The flow control code controls the flow of program and information and performs engineering tasks. It gets knowledges from the knowledge base of the KIF interpreter and the other agents.

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Design of Knowledge Model of Nursing Diagnosis based on Ontology (온톨로지에 기반한 간호진단 지식모델의 설계)

  • Lee, In-Keun;Kim, Hwa-Sun;Lee, Sung-Hee
    • Journal of the Korean Institute of Intelligent Systems
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    • v.22 no.4
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    • pp.468-475
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    • 2012
  • Nurses have performed their nursing practice according to the standard guidelines such as NANDA, NIC, and NOC, and recorded the information on nursing process into EMR system. In particular, NANDA, nursing diagnosis taxonomy, has difficulty expressing nursing diagnosis in detail because it represents abstract concepts of nursing diagnosis. So, the hospitals in KOREA have developed and used the list of nursing diagnosis on their own without referring the international standard terminologies, and it caused the delay of computerization of nursing records. Therefore, we proposed a ontology development methodology on nursing diagnosis based on NANDA and SNOMED-CT. The developed ontology, systematically developed with the frequently used nursing diagnosis terminologies in each hospital, based on the proposed methodology enables knowledge expansion and interoperable exchange of nursing records between EMR systems. We developed an ontology using the 112 nursing diagnosis terms defined by extracting and refining information on nursing diagnosis recorded in Kyungpook National University Hospital. We also confirmed the content validity and the usefulness of the developed ontology through expert assessment and experiment.

An Analysis of Undergraduate Students' Mental Models on the Mechanism of the Moon Craters Formation (달 크레이터 생성에 대한 대학생들의 정신모형 분석)

  • Lee, Ho;Cho, Hyun-Jun;Lee, Hyo-Nyong
    • Journal of the Korean earth science society
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    • v.28 no.6
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    • pp.655-672
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    • 2007
  • The purpose of this study was to investigate information sources and types of reasoning that non-astronomy major undergraduate students used to build their mental models on the mechanism of the Moon craters formation. In-depth interview was used to collect qualitative data, and the questions for the interview were developed through an analytical induction method. We interviewed four students individually by using Seidman's interview step. The findings revealed that the participants built nonscientific mental models, and yet they held a consistent explanatory framework. The students explained that the crater was made by the fall of a meteorite. They all suggested a similar shape of meteorite even though their drawings about the shape of craters and its related to variables were different from one another. The information sources that the participants used fur their explanatory frameworks were varied, i.e., daily experiences, subject knowledges, and intuition. In addition, they used causal reasoning, intuitional reasoning, knowledge based reasoning, and analogical reasoning.

An Implementation of Knowledge-based BIM System for Representing Design Knowledge on Massing Calculation in Architectural Pre-Design Phase (건축기획 매스 규모산정의 설계지식 재현을 위한 지식기반 BIM 시스템 구현)

  • Lee, Byung-Soo;Ji, Seung-Yeul;Jun, Han-Jong
    • Korean Journal of Computational Design and Engineering
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    • v.21 no.3
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    • pp.252-266
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    • 2016
  • An architectural pre-design, which is conducted prior to the architecture design, supports fundamental configuration during the entire AEC project by predicting the cost, demand, etc., of the building, and is therefore gaining importance. In particular, the massing calculation of the pre-design phase should be prioritized, as it is fundamental to architectural outline. However, most architects depend on only their experience and intuition while conceptualizing an integrated framework of design conditions, including the building code and requirements for the massing calculation of the object. Therefore, many difficulties arise in terms of performing appropriate tasks. Thus, the purpose of this study is to implement a knowledge-based BIM for explicitly representing the design knowledge, which is the basis of decision making for an architect while performing the massing calculation. In particular, the 3D knowledge relevant to a project can be provided and accumulated in the massing calculation by the BIM system; this facilitates an integral understanding. Consequently, the approximate result of massing calculation in 3D BIM environment, through both the knowledge-based BIM template and plug-in, can be swiftly provided to the architect. In addition, the architect can invent various alternatives, estimate resulting costs, and reuse the accumulated knowledge in future BIM design processes.

Study on Research and Education (R&E) Programs in Science High schools and Science Academies: Focusing on the Differences of Perceptions Between Students and Mentors (과학고 및 영재고 Research and Education (R&E) 수행과정 및 운영환경 분석: 지도자와 학생의 인식 차이를 중심으로)

  • Jung, Hyun-Chul;Chae, Yoojung;Ryu, Chun-Ryol
    • Journal of The Korean Association For Science Education
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    • v.32 no.7
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    • pp.1139-1156
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    • 2012
  • The purpose of this study was to investigate students' and mentors' perceptions of Research and Education (R&E) programs in science high schools and science academies. The sample included 1,466 science high school/science academy students and 310 mentors. They filled out the survey, which consisted of the perceptions of R&E performance procedures (Selecting a topic, Learning topic-related knowledge, Designing and performing the research study, and Evaluating and presenting results), and R&E environment (Research period, meeting opportunities with mentor/subject, learning/experimental environment). The results showed that differences existed in the perceptions of R&E performance procedures and R&E environment, especially on selecting topics and learning topic-related knowledge stages. At the end of the paper, suggestions were included for improving R&E.