• Title/Summary/Keyword: problem analysis

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Modeling and Analysis of Flexible Compose Schedule of FMC (FMC(Flexible manufacturing Cell)의 효율적인 혼합 스케쥴링 연구)

  • Lee, Jong-Geun
    • The Transactions of the Korea Information Processing Society
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    • v.6 no.7
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    • pp.1817-1824
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    • 1999
  • How to efficiently and optimally schedule iterative is one of the critical issues in FMC(Flexible Manufacturing Cell). In this paper, we apply transformation rules to find the solution of the scheduling problem in FMC. These kinds of rules have already been applied for the analysis of autonomous Petri nets. Here in, transformation is intended to preserve the existence of at least one optimal solution for the scheduling problem. Some transformations rules to reduced TPN's size without changed the initial characteristics are proposed and applied to analyze the scheduling problem of FMC.

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Analysis of 3D wall building structures dynamic response

  • Chyzy, T.;Kretowska, J.;Miedzialowski, Cz.
    • Structural Engineering and Mechanics
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    • v.22 no.1
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    • pp.33-52
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    • 2006
  • Three-dimensional description of building structure taking into consideration soil-structure interaction is a very complex problem and solution of this problem is often obtained by using finite element method. However, this method takes a significant amount of computational time and memory. Therefore, an efficient computational model based on subdivision of the structure into building elements such as wall and floor slab elements, plane and three-dimensional joints and lintels, that could provide accurate results with significantly reduced computational time, is proposed in this study for the analysis three-dimensional structures subjected to dynamic load. The examples prove the efficiency and the computing possibilities of the model.

Jaya algorithm to solve single objective size optimization problem for steel grillage structures

  • Dede, Tayfun
    • Steel and Composite Structures
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    • v.26 no.2
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    • pp.163-170
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    • 2018
  • The purpose of this paper is to present a new and efficient optimization algorithm called Jaya for optimum design of steel grillage structure. Constrained size optimization of this type of structure based on the LRFD-AISC is carried out with integer design variables by using cross-sectional area of W-shapes. The objective function of the problem is to find minimum weight of the grillage structure. The maximum stress ratio and the maximum displacement in the inner point of steel grillage structure are taken as the constraint for this optimization problem. To calculate the moment and shear force of the each member and calculate the joint displacement, the finite elements analysis is used. The developed computer program for the analysis and design of grillage structure and the optimization algorithm for Jaya are coded in MATLAB. The results obtained from this study are compared with the previous works for grillage structure. The results show that the Jaya algorithm presented in this study can be effectively used in the optimal design of grillage structures.

The development of an Instrument for Measuring the Creative Engineering Problems Solving Propensity for STEAM (융합인재교육(STEAM)을 위한 창의적 공학문제해결 성향 검사 도구 개발)

  • Kang, Ju-Won;Nam, Younkyeong
    • Journal of the Korean Society of Earth Science Education
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    • v.9 no.3
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    • pp.276-291
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    • 2016
  • This study is to develop a valid and reliable instrument for measuring students' creative engineering problem solving propensity. The creative engineering problem solving is operationally defined in this study as a creative problem solving skill in an engineering context. To develop the instrument, first we define seven common constructs between engineering problem solving skill and creative problem solving skill through an intensive literature review; motivation, context, personal character, engineering design, engienering habits of mind, understandings of engineering and engineers, communication skill, and collaboration skill. Based on the seven constructs and the face validity test conducted by two in-service science teachers and 4 experts in science education research, 40 preliminary items were developed. Then the preliminary instrument was implemented in a science gifted highschool to measure the reliability of the instrument. From the 40 items, 34 items were selected through the initial reliability test by Cronbach's ${\alpha}$(>.75). Finally through the three times of factor analysis process, 28 items in five construct categories were selected; motivation (3 items), engineering design (6 items), engineering habits of mind (9 items), understandings of engineering and engineers (4 items), communication and collaboration skill (6 items). The factor analysis result showed that the reliability of each construct category was between .733 to .892., meaning that the instrument is reliable in terms of the higher structural validity (each item is categorized in an appropriate construct category). We expect that the creative engineering problem solving propensity instrument developed in this study can be used in various contexts for STEAM education research as a reliable and valid instrument.

Developing Measurement of Problem-Based Learning Effectiveness: Applying Rasch Analysis (문제중심학습 (Problem-Based Learning) 효과 측정 도구 개발: Rasch 분석을 중심으로)

  • Han, Sang-Woo;Choi, Seong-Youl;Choi, In Mook
    • Journal of Convergence for Information Technology
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    • v.10 no.3
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    • pp.115-125
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    • 2020
  • Problem-Based Learning is the most commonly used teaching method in the field of education as the demand for talented people with creative problem-solving abilities has increased in recent society. In this study, we developed a tool that can simply and regularly measure the learning effects of applying Problem-Based Learning on the classroom. Twenty-two preliminary items for the development were constructed by gathering expert opinions about items collected in existing research of Problem-Based Learning effects measurement. Using this preliminary items, data were collected from 124 students who took the subject-based study. And the validity and reliability were verified through Rash analysis. 11 of 124 students and 1 of 22 items were found to nonconforming and excluded. In addition, the optimal scale for the configuration of this tool was found to be a four-point scale, and the reliability of separation on the subject and the item was found to be excellent. We hope that the assessment tools of Problem-Based Learning effectiveness developed in this study will be actively used to measure learning effectiveness and manage the quality of education.

Analysis of creative problem solving literacy in problem-solving methods and procedures parts presented in informatics textbooks in middle schools (중학교 정보 교과서에서 '문제해결 방법과 절차' 영역의 창의적 문제해결력 경향 분석)

  • Kim, Yong-Dae;Choi, Gil-Su;Lee, Jong-Yun
    • The Journal of Korean Association of Computer Education
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    • v.15 no.1
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    • pp.1-11
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    • 2012
  • Developing middle and high students' information literacy and creative problem-solving skills in this information-oriented society is very important and for this reason, the subject of informatics has been established. However, little research on creative problem solving literacy of informatics textbooks has been conducted. Therefore, the purpose of this paper is to quantitatively analyze whether 'problem-solving methods and procedures' parts in informatics textbooks in middle schools present creative problem solving literacy or not and in what degree. Data were quantitatively analyzed using the Gil-Su Choi method. The result of data analysis indicated that all the textbooks turned out to be correct range in the category of the "composition of various learning activities," but got out of range in some categories such as "problem-solving process reflection" and "problem-solving strategy proposal". Also a few textbooks haven't satisfied in important indexes and activities. So, we suggest that more 'problem-solving process reflection' and 'problem-solving strategy proposal' parts should be included in the informatics textbook and more various forms of learning activities be utilized well as the ratio of activities needed primary and high mental processes be kept the balance.

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An Analysis of Structural Equation Model on the Scientific Problem Finding Ability of the Scientifically Gifted Based on Science Related Attitude, Motivation, and Self-regulation Learning Strategy (과학영재의 과학문제발견력 관련변인에 대한 구조방정식모형 분석: 과학관련태도와 동기 및 자기조절 학습전략을 중심으로)

  • Kim, Mpmg-Sook;Han, Ki-Soon
    • Journal of Gifted/Talented Education
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    • v.18 no.1
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    • pp.23-52
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    • 2008
  • The purpose of this study was to examine the Structural Equation Model (SEM) of scientific problem finding ability based on science related attitude, motivation and self-regulation learning strategy of the gifted in science. A total of 153 scientifically gifted students were selected from a university-based Sifted education center The instruments used for the study were Test of Science-Related Attitudes, Motivated Strategies for Learning Questionnaire (MSLQ), and Science Problem Finding Test. In order to examine Structural Equation Model (SEM) of scientific problem finding ability, we assumed scientific problem finding model related to science inquiry, model I (domain specific), and scientific problem finding model related to creativity, model II (domain general) The results of this research are as follows. First, the correlations between science related attitudes and MSLQ were significant; motivation and self-regulated learning strategy as sub factors were positively correlated to science related attitudes. Only scientific attitude as a sub factor of science related attitudes was significantly correlated to elaboration of creativity category in scientific problem finding ability. In other hand, self-regulated learning strategy was significantly correlated to elaboration, inquiry motivation and inquiry level in scientific problem finding ability. Second, as the results of SEM analysis, we confirmed model I and model II were the best adequate through the indices of best fit (TLI, CFI>.90, RMSEA<.08); scientific problem finding ability was directly influenced motivation and self-regulated learning strategy but science related attitudes indirectly influenced scientific problem finding ability through motivation and self-regulated learning strategy. Based on the results, the implications for science gifted education were discussed.

Informational Analysis for Error Prediction of Emergency Tasks in Nuclear Power Plants (원자력발전소 비상운전 직무의 오류 예측을 위한 정보적 분석)

  • Jeong, Won-Dae;Kim, Jae-Hwan;Yun, Wan-Cheol
    • Journal of the Ergonomics Society of Korea
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    • v.18 no.3
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    • pp.41-53
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    • 1999
  • More than twenty HRA (Human Reliability Analysis) methodologies have been developed and used for the safety analysis in nuclear field during the past two decades. However, no methodology appears to have universally been accepted, as various limitations have been raised for more widely used ones. One of the most important limitations of conventional HRA is insufficient analysis of the task structure and problem space. To resolve this problem, we suggest a framework of informational analysis for HRA. The proposed informational analysis consists of three parts. The first part is the scenario analysis that investigates the contextual information related to the given task on the basis of selected scenarios. The second is the goals-means analysis to define the relations between the cognitive goal and task steps. The third is the cognitive function analysis that identifies the cognitive patterns and information flows involved in the task. Through the three-part analysis. systematic investigation is made possible from the macroscopic information on the tasks to the microscopic information on the specific cognitive processes. It is expected that analysts can attain a structured set of information that helps to predict the types and possibility of human error in the given task.

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The Analysis of Priority Setting in Community Health Planning in Korea and its Implications (지역보건의료계획에서 우선순위선정 방법에 대한 분석과 함의)

  • Kim, Jae-Hee
    • The Journal of the Korea Contents Association
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    • v.15 no.1
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    • pp.264-275
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    • 2015
  • While the method of prioritization has been practicing in the community needs-based programs to improve the effectiveness and efficiency of community health planning, it has not been systematically used. This study aims to suggest more sophisticated method of prioritizing. Based on the analysis of 81 community health plans which adopt prioritizing method, this study tried to examine their methods and criteria and evaluate their adequacy. In the prioritization process, projects themselves, rather than health problems, were commonly adopted for the subject of the analysis. The most used was the Basic priority rating, followed by the Prioritization matrix. Looking at the size of health problem among the prioritization criteria, the prevalence for chronic diseases and the proportion of people with health problems for health behaviors, mainly were used as indicators. Along with the size of health problem, other factors such as the degree of seriousness of health problem, and the effectiveness of intervention have been used as the criteria of prioritizing, not fully supported by objective data base and the clear standard of scoring. In the prioritization, the analysis need to be limited only to health problems, and the scoring criteria for each health problem area be presented.

Elementary Students' Perceptions of Marine Plastic Waste Problem and Solutions (해양 플라스틱 쓰레기로 인한 문제와 해결책에 관한 초등학생의 인식 조사)

  • Mun, Kongju;Seo, Kyungwoon;Kang, Eunhee;Hwang, Yohan
    • Journal of Korean Elementary Science Education
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    • v.39 no.3
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    • pp.399-411
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    • 2020
  • This study aims to explore how elementary students perceive and approach the issue of plastic debris in marine habitats by examining students' perspectives on the ecosystem and environmental solutions. The study was conducted to 143 Grade Four elementary school students in Seoul. After implementing two class-units on plastic waste, students' constructed responses on the problem of and solutions to plastic debris in marine habitats were collected. Data were analyzed through semantic network analysis and the keywords were visualized to reflect their relationships. Furthermore, students' responses on how they perceive environmental problems were further analyzed based on the following analysis criteria: students' perspectives on the ecosystem, the level of complexity of food chain(s), and the scope of their perspective. Also, student responses on environmental solutions were classified to be either at a personal or social level. Through semantic network analysis, keywords identified for students' perceptions on the problem were the sea, plastic, debris, animals, living things, humans, extinction, while keywords extracted for the solutions were plastic, debris, recycling, disposable, and I. Based on the analysis criteria, it was found that students were well aware of the food chain concept, could perceive the ecosystem as having comprised of both biotic and abiotic factors, and could approach the problem beyond the scope of the marine environment. Also, most students mentioned the solutions only at a personal level. Based on the findings, implications on how to move forward in educating environmental issues related to the ecosystem in science education is further discussed.