• 제어로봇시스템학회논문지
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• 제3권5호
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• pp.542-554
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• 1997

In this paper, we present a resource conscious approach to designing distributed real-time systems as an extension of our original approach [8][9] which was limited to single processor systems. Starting from a given task graph and a set of end-to-end constraints, we automatically generate task attributes (e.g., periods and deadlines) such that (i) the task set is schedulable, and (ii) the end-to-end timing constraints are satisfied. The method works by first transforming the end-to-end timing constraints into a set of intermediate constraints on task attributes, and then solving the intermediate constraints. The complexity of constraint solving is tackled by reducing the problem into relatively tractable parts, and then solving each sub-problem using heuristics to enhance schedulability. In this paper, we build on our single processor solution and show how it can be extended for distributed systems. The extension to distributed systems reveals many interesting sub-problems, solutions to which are presented in this paper. The main challenges arise from end-to-end propagation delay constraints, and therefore this paper focuses on our solutions for such constraints. We begin with extending our communication scheme to provide tight delay bounds across a network, while hiding the low-level details of network communication. We also develop an algorithm to decompose end-to-end bounds into local bounds on each processor of making extensive use of relative load on each processor. This results in significant decoupling of constraints on each processor, without losing its capability to find a schedulable solution. Finally, we show, how each of these parts fit into our overall methodology, using our previous results for single processor systems.

• 한국과학교육학회지
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• 제33권4호
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• pp.863-879
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• 2013

The purpose of this study was to analyze task commitment types of science learning in high school students' biology classification. Thirty students were selected as the representatives of five task commitment types according to task commitment type inventory scores. They participated in think-aloud biology classification task. To analyze the procedural characteristics of task commitment, a coding scheme and think-aloud task were developed. Characteristics of respective task commitment types were identified from the result of the think-aloud protocol coding analysis. They are TGC(task goal commitment) type, LGC(low goal commitment) type, CC(conditional commitment) type, SC(suspended commitment) type, and DC(delayed commitment) type. Findings gained from this study are expected to serve as the foundation of task commitment enhancement strategies and as the information on the characteristics of each task commitment type. Also, future studies are required to investigate the commitment-related properties not only in biology classification but also in other science learning situations.

• The Journal of Korean Physical Therapy
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• 제27권5호
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• pp.364-368
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• 2015

Purpose: Walking in the dual-task condition is a critical skill for hemiplegic patients to live in real-life situations. The purpose of this study was to compare the effect of dual-task gait training and general gait training on gait parameters and cognitive function in patients with chronic stroke during dual-task walking. Methods: The study included 23 patients with chronic hemiparetic stroke who were randomly divided into experimental (dual-task gait training) and control (general walking training) groups. The 11 subjects in the experimental group and nine subjects in the control group received dual-task gait training (walking while handling a ball, crossing obstacles, picking up various objects, and problem solving simple cognitive tasks and general over-ground gait training, respectively, for 30 minutes per day 5 days per week for 4 weeks. Spatiotemporal parameters and cognitive tasks in the dual-task gait condition were measured. Statistical analysis of the changes between the pre- and post-intervention measurement variables was performed using ANCOVA. Results: In the gait condition under cognitive tasks, the changes pre- and post-intervention in gait velocity, stride length, double support limb, and step symmetry were significantly greater in the dual-task gait training group; however, the dual-task gait training group showed no significant improvement compared to the general gait training group in terms of the assessment of cognitive tasks. Conclusion: The findings suggest that dual-task gait training may be beneficial for walking ability in dual-task walking condition.

• 한국수학교육학회지시리즈C:초등수학교육
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• 제21권2호
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• pp.131-150
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• 2018

수학 과제의 구조는 이를 해결하는 학생들의 배움의 양상에 영향을 미친다. 이 연구에서는 구조화된 정도가 다른 두 가지 문제를 소집단 토론 활동으로 해결하는 초등학생들의 통계적 변이성 이해 양상을 탐색하였다. 비구조화된 문제와 구조화된 문제에서 학생들의 통계적 변이 추론 발달 정도는 비슷하였지만 비구조화된 문제에서 학생들은 보다 다양한 아이디어를 전 과정에 걸쳐 역동적으로 제시하였으며, 구조화된 문제에서는 나타나지 않았던 가설에 기반한 추론의 양상을 보였다. 또한 비구조화된 문제에서 모든 학생이 끝까지 활발하게 참여하는 모습을 보였으며, 구조화된 문제에서는 일부 학생이 소외되는 현상이 나타났다. 이러한 차이는 과제의 구조화된 정도에서 비롯되었음을 확인하였다.

• 대한수학교육학회지:학교수학
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• 제10권1호
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• pp.23-42
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• 2008

본 연구는 4명의 초등학교 5학년 수학영재들이 주어진 대수 과제를 해결하는 과정에서 나타나는 일반화 전략과 그에 대한 정당화의 특성을 살펴보고, 그러한 과정에서 나타난 메타인지적 사고 특성을 분석한 연구이다. 문헌 검토를 통해 일반화 전략 정당화의 유형과 메타인지적 사고를 위한 분석틀을 마련하고 학생들의 다양한 반응들을 분석하였다. 일반화 과정에서 학생들은 과제가 내포한 복합적인 관계나 순환적인 관계를 다양한 경로로 파악했고, 이 관계를 토대로 일반식을 이끌어냈다. 이러한 일반화에 대한 정당화 유형은 대부분 경험적 정당화와 형식적 정당화의 수준을 보여주었다. 메타인지적 사고의 특성에서 학생들은 자신이 보유한 지식을 복합적으로 동원하였고, 이러한 지식을 과제와 연결시키기 위하여 메타인지적 기능 영역인 '감시', '평가', '제어'와 같은 행동들을 수시로 발현시켰다. 감시, 평가, 제어의 사고과정은 학생들이 과제의 새로운 조건을 파악하게 하는 원동력이 되었고, 자신의 사고과정을 점검함으로써 특정한 사례들에 대한 값을 정당화하게 하며, 전략을 수정 변경하면서 해결과정을 지속적으로 이끌어나가게 했다.

• 과학교육연구지
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• 제34권1호
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• pp.113-123
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• 2010

이 연구의 목적은 문제 해결과정에서 과학 영재아와 일반아의 뇌파 활성 분석을 통해 그 특징을 조사하는 것이다. 이 연구의 대상자는 지역교육청 소속의 영재 교육원에 재학 중인 초등학생으로 6명과 같은 지역의 일반 아동 6명으로 전체 12명으로 대상으로 분석하였다. 뇌파 측정용 과제는 하노이 탑(Hanio tower)으로 문제 해결 과정을 연구하는 효과적인 과제이다. 뇌파 측정 장비는 EEG System 으로 호주에서 개발한 장비를 이용하였다. 자료의 분석은 잡파(noise)를 최소화 하였고, 뇌파의 측정 위치는 10-20 System 전극배치를 사용하였다. 뇌파의 분석 방법으로는 독립 성분 분석(Independent Component Analysis)과 상대 파워분석(Relative power analysis)을 사용하였다. 연구의 결과 영재아들은 눈뜨고 안정 상태에서도 일반아에 비해 안정도가 뛰어나 학습의 준비도가 높다는 것을 알 수 있다. 이는 문제 해결을 하기 위한 준비의 정도가 높아 학습의 효과가 뛰어난 결과로 나타는 것을 볼 수 있다. 또한 과제를 수행하는 과정에서도 영재아의 두뇌 활성화의 정도가 높아 전두엽과 후두엽 부위에서 유의미하게 높은 알파파가 형성됨을 알 수 있었다. 따라서 영재아의 뇌를 활성화 정도가 높은 과제를 개발하면 보다 높은 교육의 효과를 기대할 수 있을 것이다. 이 연구의 결과는 과학 영재 판별과 평가의 타당도를 높이며, 과학영재의 특성과 과학의 본질에 근거한 판별방법의 기초 자료로 활용 가능하다.

• 한국보육지원학회지
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• 제15권1호
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• pp.37-55
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• 2019

Objective: This study investigated whether executive function has a significant relationship to concrete, picture, and language clue tasks of the arithmetic story problem-solving ability, and its effects. Methods: The participants in the study were 112 young children at childcare centers. The following methods were used to evaluate executive function: Day-Night/Flag-Raising tasks, DCCS tasks, and digit span-reverse digit span methods. To measure the arithmetic story problem-solving ability concrete, picture, and language clue tasks were evaluated. Results: First, the higher the child's age, the higher their executive function and arithmetic story problem-solving abilities were. Second, there is a significant positive correlation between a young child's executive function and arithmetic story problem-solving ability. Third, when the task presentation method varied for concrete, picture, and language clue tasks, the effect of the subordinate factor of the execution function of the arithmetic story problem-solving ability also varied. Conclusion/Implications: Analysis confirmed the relationship between young children's executive function and arithmetic story problem-solving ability. The results are meaningful in showing that the sub-factors of the executive function have different influences on concrete, picture, and language clue tasks of the arithmetic story problem-solving ability.

• 아동학회지
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• 제21권4호
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• pp.227-241
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• 2000

This study investigated the effectiveness of mathematical activities based on picture books for the development of children's problem-solving performance. Subjects were 72 children divided in two groups of 36 each; one group had mathematical activities based on picture books and the other group had of pencil-and-paper tasks. The problem-solving performance was measured in terms of the test by Ward(1993) with a few modification for pretest and posttest. Mathematical activities were performed 12 times over a 6 week period. The data was analyzed by Analysis of Covariance(ANCOVA). The group taught by picture books significantly improved mathematical problem-solving performance.

• 영어어문교육
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• 제11권4호
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• pp.365-389
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• 2005

The purpose of this study is to present the task model that is the most effective in English language methodology based on the investigation of task-based performance in Korean EFL classroom practice. The subjects were 538 high school students and 126 high school teachers, each of whom had common experiences using the materials of task-based activities for more than one year. To analyze the data, the program SPSS WIN 11.0 including frequency distribution and chi-square analysis was used. The results of the questionnaire analysis showed that both teachers and students had a comparatively high level of satisfaction in task rationale, but that they had some mixed responses in the fields of input data, settings, and activity types. To conclude, a few suggestions are made to provide some meaningful considerations for the EFL teachers and material developers: a) task goals and rationale that encourage the learner's positive motivation; b) authenticity of input data based on the real-world context; c) collaborative learning environment that enhances communicative interaction; d) proportional representation of the creative problem-solving activities related to discussions and decision-making processes; e) systematic introduction of integrated language skills. It also suggests that the multi-lateral task model, which has some positive assets compared to previous task models, be newly introduced and applied to the second language learning classrooms.

• 전자통신동향분석
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• 제36권2호
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• pp.22-31
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• 2021

This report introduces a definition for robot task intelligence and explains the basis of the challenges associated with implementing robot task intelligence in real-world problems. Two fundamental elements of this intelligence, robot manipulation and navigation, are introduced herein. We describe the existing trends and industrial applications of the robot task intelligence in logistics and agricultural automation. Furthermore, as an underpinning technology for this intelligence, we review the existing three-dimensional position estimation techniques and summarize the difficulties associated with applying pure SLAM technology to real-world applications. Finally, we discuss the prospects of the robot task intelligence research and its potential for solving real-world problems.