• 제목/요약/키워드: Task Solving

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학교도서관의 스마트러닝 수업 모형 개발에 관한 연구 (A Study on the Development of Instructional Model for Smart Learning in the School Library)

  • 이승길
    • 한국도서관정보학회지
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    • 제44권2호
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    • pp.27-50
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    • 2013
  • 본 연구의 목적은 학교도서관의 스마트러닝 수업 모형을 정보활용교육 측면에서 개발하는 것이다. 수업 모형은 ADDIE 모형과 ASSURE 모형을 기반으로 학교도서관의 특성에 맞게 도서관의 시설, 자료, 인적자원, 정보문제 해결과정, 협동수업 및 블렌디드 학습, 스마트 디바이스의 이용 등이 고려되었다. 수업 모형은 "학습목표 설정${\rightarrow}$학습자 분석${\rightarrow}$학습환경 분석${\rightarrow}$학습과제 분석${\rightarrow}$교수 전략${\rightarrow}$매체 선정 및 개발${\rightarrow}$수업적용${\rightarrow}$평가"의 순서로 개발하였다. 또한 학교도서관 스마트러닝의 실제적인 상황에 대한 이해를 돕기 위해서 수업 예시를 제시하였다.

철도 안전성 평가를 위한 운용 아키텍처 개발 방안 연구 (A Study On Operational Architecture Development Method for Railway System Safety Assessment)

  • 장재덕;박영원
    • 한국철도학회논문집
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    • 제11권1호
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    • pp.101-106
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    • 2008
  • 최근 아키텍처 프레임워크가 정보관리 시스템 개발에 사용되고 있다. 본 논문은 미국방 아키텍처 프레임워크를 사용하여 철도 안전성 평가에 대한 운용 아키텍처 개발 방법론에 대해 기술한다. 철도 시스템과 같이 안전에 민감한 시스템의 경우는 안전성 평가 업무를 효과적이고, 효율적으로 수행하기 위해 정보관리 시스템의 필요성이 증대되고 있다. 운용 아키텍처를 기반으로 안전성 평가에 대한 정보관리 시스템의 요구사항을 생성하는 것은 필수적이다. 철도시스템에 적용 가능한 안전성 평가 운용 아키텍처를 개발하기 위해 ARP4761이 참고 되었다. 우선, 상용 시스템엔지니어링 도구인 CORE를 활용한 운용 아키텍처 개발 프로세스를 수행하기 위해 스키마 및 템플릿 개발하였다. 운용 아키텍처는 유연한 정보 관리 시스템 구축을 가능하게 할 뿐만 아니라 업무 프로세스의 문제도 해결하는데 도움을 준다.

어휘 지도 방법이 어휘 학습전략 사용과 정의적 측면에 미치는 효과: 학생 설문 조사 분석을 중심으로 (The effects of a vocabulary instructional method on vocabulary learning strategy use and the affective domain: Focus on an analysis of students' survey responses)

  • 김낙복
    • 영어어문교육
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    • 제11권3호
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    • pp.89-112
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    • 2005
  • This study investigated the effects of collocation-based vocabulary instruction for the experimental group (G2). It was compared to the traditional wordlist-based vocabulary instruction for the control group (G1). This results reflect the development of low level high school EFL learners' vocabulary learning strategy use and the positive change in the affective domain. In the analysis of the survey responses, G1 and G2 did not differ significantly on the first questionnaire. They did, however, differ significantly on the second questionnaire. G2 used more strategies to discover and to consolidate the meaning of the words by means of combining words. In terms of the affective domain, G2 participated more actively in the learning activities, which had a significant effect on vocabulary growth, memory, self-confidence, motivation, and cooperative learning. This is attributable to the fact that G2 was more inquisitive, interested, challenged, participatory, cooperative, and attentive than G1 in performing the vocabulary task activities. Moreover, the data collected from the questionnaire showed that G2 performed more interactive and dynamic activities in solving the given tasks.

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수면 지면 동시보행을 위한 Klann 기구 기반 주행메커니즘 최적설계 (Optimal Design of Klann-linkage based Walking Mechanism for Amphibious Locomotion on Water and Ground)

  • 김현규;정민석;신재균;서태원
    • 제어로봇시스템학회논문지
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    • 제20권9호
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    • pp.936-941
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    • 2014
  • Walking mechanisms are very important for legged robots to ensure their stable locomotion. In this research, Klann-linkage is suggested as a walking mechanism for a water-running robot and is optimized using level average analysis. The structure of the Klann-linkage is introduced first and design variables for the Klann-linkage are identified considering the kinematic task of the walking mechanism. Next, the design problem is formulated as a path generation optimization problem. Specifically, the desired path for the foot-pad is defined and the objective function is defined as the structural error between the desired and the generated paths. A process for solving the optimization problem is suggested utilizing the sensitivity analysis of the design variables. As a result, optimized lengths of Klann-linkage are obtained and the optimum trajectory is obtained. It is found that the optimized trajectory improves the cost function by about 62% from the initial one. It is expected that the results from this research can be used as a good example for designing legged robots.

An Automated Knowledge Acquisition Tool Based on the Inferential Modeling Technique

  • Chan, Christine W.;Nguyen, Hanh H.
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2002년도 ITC-CSCC -2
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    • pp.1165-1168
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    • 2002
  • Knowledge acquisition is the process that extracts the required knowledge from available sources, such as experts, textbooks and databases, for incorporation into a knowledge-based system. Knowledge acquisition is described as the first step in building expert systems and a major bottleneck in the efficient development and application of effective knowledge based expert systems. One cause of the problem is that the process of human reasoning we need to understand for knowledge-based system development is not available for direct observation. Moreover, the expertise of interest is typically not reportable due to the compilation of knowledge which results from extensive practice in a domain of problem solving activity. This is also a problem of modeling knowledge, which has been described as not a problem of accessing and translating what is known, but the familiar scientific and engineering problem of formalizing models for the first time. And this formalization process is especially difficult for knowledge engineers who are often faced with the difficult task of creating a knowledge model of a domain unfamiliar to them. In this paper, we propose an automated knowledge acquisition tool which is based on an implementation of the Inferential Modeling Technique. The Inferential Modeling Technique is derived from the Inferential Model which is a domain-independent categorization of knowledge types and inferences [Chan 1992]. The model can serve as a template of the types of knowledge in a knowledge model of any domain.

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Impact identification and localization using a sample-force-dictionary - General Theory and its applications to beam structures

  • Ginsberg, Daniel;Fritzen, Claus-Peter
    • Structural Monitoring and Maintenance
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    • 제3권3호
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    • pp.195-214
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    • 2016
  • Monitoring of impact loads is a very important technique in the field of structural health monitoring (SHM). However, in most cases it is not possible to measure impact events directly, so they need to be reconstructed. Impact load reconstruction refers to the problem of estimating an input to a dynamic system when the system output and the impulse response function are usually known. Generally this leads to a so called ill-posed inverse problem. It is reasonable to use prior knowledge of the force in order to develop more suitable reconstruction strategies and to increase accuracy. An impact event is characterized by a short time duration and a spatial concentration. Moreover the force time history of an impact has a specific shape, which also can be taken into account. In this contribution these properties of the external force are employed to create a sample-force-dictionary and thus to transform the ill-posed problem into a sparse recovery task. The sparse solution is acquired by solving a minimization problem known as basis pursuit denoising (BPDN). The reconstruction approach shown here is capable to estimate simultaneously the magnitude of the impact and the impact location, with a minimum number of accelerometers. The possibility of reconstructing the impact based on a noisy output signal is first demonstrated with simulated measurements of a simple beam structure. Then an experimental investigation of a real beam is performed.

Application of Bacterial Foraging Algorithm and Genetic Algorithm for Selective Voltage Harmonic Elimination in PWM Inverter

  • Maheswaran, D.;Rajasekar, N.;Priya, K.;Ashok kumar, L.
    • Journal of Electrical Engineering and Technology
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    • 제10권3호
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    • pp.944-951
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    • 2015
  • Pulse Width Modulation (PWM) techniques are increasingly employed for PWM inverter fed induction motor drive. Among various popular PWM methods used, Selective Harmonic Elimination PWM (SHEPWM) has been widely accepted for its better harmonic elimination capability. In addition, using SHEPWM, it is also possible to maintain better voltage regulation. Hence, in this paper, an attempt has been made to apply Bacterial Foraging Algorithm (BFA) for solving selective harmonic elimination problem. The problem of voltage harmonic elimination together with output voltage regulation is drafted as an optimization task and the solution is sought through proposed method. For performance comparison of BFA, the results obtained are compared with other techniques such as derivative based Newton-Raphson method, and Genetic Algorithm. From the comparison, it can be observed that BFA based approach yields better results. Further, it provides superior convergence, reduced computational burden, and guaranteed global optima. The simulation results are validated through experimental findings.

4-5세 자녀를 둔 어머니의 양육신념과 양육행동의 관계 (The relationship between mothers' parental beliefs and their child-rearing behaviors)

  • 김수연
    • 한국생활과학회지
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    • 제18권2호
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    • pp.313-324
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    • 2009
  • The study is to investigate mothers' parental beliefs about child development and the children's developmental tasks, and to explore the relationship between mother's parental beliefs and child-rearing behaviors. The subjects are 113 pairs of 4- to 5-year-old children and their mothers. For measuring maternal beliefs about child-development, 'beliefs about development scale' and 'child-rearing beliefs scales' were used. For mother's child-rearing behaviors, 'child rearing behavior observation scale' was used. The main results were: first, mothers value the cognitive theory and 'autonomous behavior' higher than 'conforming behavior' in developing their children. Second, there were no differences in mother's parenting beliefs in the factors of 'gender of their children' and 'maternal job status', while there were significant differences in maternal beliefs according to the levels of mother's education and family income. Third, sub-scales of their parenting beliefs were correlated with interactive behaviors between them and their children. The more mothers put importance on cognitive theory and children's autonomous behaviors, the more their supportive child-rearing behaviors during child-mother task solving situations were showed.

병렬 처리 시스템을 위한 효율적인 복제 중심 스케쥴링 알고리즘 (An Efficient Duplication Based Scheduling Algorithm for Parallel Processing Systmes)

  • 박경린;추현승
    • 한국정보처리학회논문지
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    • 제6권8호
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    • pp.2050-2059
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    • 1999
  • 다중 처리기 시스템에서의 병렬 처리를 위한 스케줄링 문제는 지난 수 십년 동안 중요한 연구 과제가 되어왔다. 다중 처리기 스케줄링 문제(multiprocessor scheduling problem)란 다중 처리기 시스템에서 병렬 수행 시간(parallel execution time)을 최소화 할 수 있는 최적의 스케줄을 구하는 문제로 정의된다. 복제 중심 타스크 스케줄링은 이러한 문제를 풀기 위한 비교적 새로운 접근 방법이다. 이 논문은 복제 중심 스케줄링 알고리즘들을 타스크 복제 방법에 따라서 전체 복제와 부분 복제의 두 가지로 분류하고, 그 두가지 방법의 장점들을 결합한 새로운 스케줄링 알고리즘을 제안한다. 시뮬레이션 결과는 이 논문에서 제안된 스케줄링 알고리즘이 비슷한 복잡도(time complexity)를 갖는 다른 스케줄링 알고리즘보다 우수함을 보여준다.

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공학 설계 패러다임 변화에 따른 팀 창의성의 정의 및 하위 영역과 요소 도출 (A Study on the Definition of Team Creativity upon the Design Paradigm and Their Sub-domains and Element Extraction)

  • 김태훈
    • 공학교육연구
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    • 제18권3호
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    • pp.13-23
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    • 2015
  • This paper attempts to take an in-depth study of the importance of teams and their creativity according to changes of recent design paradigm in engineering and to draw conclusions of the sub-domains and their element extraction. For this purpose, theoretical consideration was reviewed to present the definition of creativity and its sub-domains and elements. Besides, the two steps of expert validation test were conducted to extract the definition of creativity and its sub-domains and elements. The team creativity is defined as a team ability to come up with fresh and useful ideas and to lead them to get meaningful results through cooperative interactions among team members to solve problems given to them based on each member's creativity. Totally, 4 subs -domains and 16 sub-elements were extracted to get to know their influence on the team creativity. This includes a team size, characteristics of team members, and a team structure in team organization domain. To evaluate team atmosphere, elements such as sensibility, fellowship, teamwork, reliability, autonomy and open minded feature are included. In the team activity domain, strategies for solving problems, activities for divergent thinking, activities for convergence thinking and team interaction are included. Also, the sub-domain for team management includes a task, process and conflict management.