• Communications of Mathematical Education
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• v.27 no.4
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• pp.429-448
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• 2013

The aim of this study was to examine how analogical mapping articulation activity played a role in solving process in word problems. We analyzed the problem solving strategies and processes that the participating thirty-three 8th grade students employed when solving the problems through analogical mapping articulation activities, and also the characteristics of the thinking processes from the aspects of similarity. As a result, this study indicates that analogical mapping articulation activity could be helpful when the students solved similar word problems, although some of them gained correct answers through pseudo-analytic thinking. Not to have them use pseudo-analytic thinking, it might be necessary to help them recognize superficial similarity and difference among the problems and construct structural similarity to know the principle of solution associated with the problematic situations.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.19 no.9
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• pp.1658-1667
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• 1994

In a cellular mobile communication control system, assignment channel for a call in a cell so as to achieve high spectral efficience is an important problem within limited frequence bandwidth. The spectral efficiency is related to the coloring problem of graph theory in a cellular mobile communication control system. In this paper, we propose channel offset scheme using a graph theory of cellular mobile communication control system and formulate chromatic bandwidth of channel offset system which is related graph coloring problem. From formulated channel assignment problem, we investgate an optimal channel offset scheme of more efficent frequence spectrum and cell design according to channel constitution and give and upper and lower bound for overall srectral bandwidth.

• Journal of Educational Research in Mathematics
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• v.22 no.3
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• pp.331-352
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• 2012

The purpose of the study is to verify what cognitive variables have significant effect on proportional problem solving. For this aim, the study classified proportional problem into well-structured, moderately-structured, ill-structured problem by the level of structuredness, then classified the cognitive variables as well into factual algorithm knowledge, conceptual knowledge, knowledge of problem type, quantity change recognition and meta-cognition(meta-regulation and meta-knowledge). Then, it verified what cognitive variables have significant effects on 6th graders' proportional problem solving abilities through multiple regression analysis technique. As a result of the analysis, different cognitive variables effect on solving proportional problem classified by the level of structuredness. Through the results, the study suggest how to teach and assess proportional reasoning and problem solving in elementary mathematics class.

• Journal of Educational Research in Mathematics
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• v.19 no.1
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• pp.143-161
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• 2009

This study was designed to gain insights into students' visualization process in geometric problem solving. The visualization model for analysing visual process for geometric problem solving was developed on the base of Duval's study. The subjects of this research are two Grade 9 students and six Grade 10 students. They were given 2D-geometric problems. Their written solutions were analyzed problem is research depicted characteristics of process of visualization of individually. The findings on the students' geometric problem solving process are as follows: In geometric problem solving, visualization provided a significant insight by improving the students' figural apprehension. In particular, the discoursive apprehension and the operative apprehension contributed to recognize relation between the constituent of figures and grasp structure of figure.

• Education of Primary School Mathematics
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• v.15 no.2
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• pp.59-75
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• 2012

This study aims to find whether the solutions for well-structured problems learned in school can be transferred to the moderately-structured problem and ill-structured problem. For these purpose, research questions were set up as follows: First, what are the patterns of changes in strategies used in solving the mathematics problems with different level of structuredness? Second, From the group using and not using proportion algorithm strategy in solving moderately-structured problem and ill-structured problem, what features were observed when they were solving that problems? Followings are the findings from this study. First, for the lower level of structuredness, the frequency of using multiplicative strategy was increased and frequency of proportion algorithm strategy use was decreased. Second, the students who used multiplicative strategies and proportion algorithm strategies to solve structured and ill-structured problems exhibited qualitative differences in the degree of understanding concept of ratio and proportion. This study has an important meaning in that it provided new direction for transfer and analogical problem solving study in mathematics education.

• Proceedings of the Korea Information Processing Society Conference
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• 2002.11a
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• pp.123-126
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• 2002

근래 들어 무선 인터넷이 가능한 고성능의 휴대형 단말들이 널리 보급되어 감에 따라, 모바일 기업 응용에 대한 요구가 증가하고 있다. 모바일 기업 응용에서는 모바일 클라이언트와 기업 서버간의 데이터 동기화가 필수적이다. 왜냐하면, 모바일 클라이언트는 그 특성상 기업 서버에 항상 접속해 있을 수 없기 때문이다. 하지만 이러한 모바일 기업 응용을 작성하기 위해서는 확장성 이형성, 자원제약, 보안등과 같은 여러 기술적인 문제들을 해결해야만 한다. 따라서 본 논문에서는 이러한 기술적인 문제들 뿐만 아니라 데이터 동기화 부분을 처리해 줌으로써 응용 개발자들에게 오직 데이터 동기화를 위한 추상화된 인터페이스만을 제공해주는 데이터 동기화 미들웨어 시스템인 MoIM-Sync 시스템의 설계 및 구현에 관해 기술한다. 우리 시스템은 구현 언어로 Java를, 동기화 프로토콜로 표준 동기화 프로토콜인 SyncML을 사용함으로써 이형성 문제를 극복하였으며, 3 계층 구조를 통해 확장성 및 기존 동기화 시스템/서버 시스템들과의 연동 문제를 해결하였다.

• The Transactions of the Korea Information Processing Society
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• v.2 no.3
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• pp.417-424
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• 1995

This paper describes MFT(Mean Field Theory) neural network with continuous with continuous variables is applied to quantification analysis problem. A quantification analysis problem, one of the important problems in statistics, is NP complete and arises in the optimal location of objects in the design space according to the given similarities only. This paper presents a MFT neural network with continuous variables for the quantification problem. Starting with reformulation of the quantification problem to the penalty problem, this paper propose a "one-variable stochastic simulated annealing(one-variable SSA)" based on the mean field approximation. This makes it possible to evaluate of the spin average faster than real value calculating in the MFT neural network with continuous variables. Consequently, some experimental results show the feasibility of this approach to overcome the difficulties to evaluate the spin average value expressed by the integral in such models.ch models.

• The Journal of Korean Association of Computer Education
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• v.11 no.1
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• pp.33-46
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• 2008

There exist many differences between new Informatics curriculum and the current Computer curriculum. Since the new curriculum introduces new section of "Problem-solving methods and procedures" which are not included in current computer curriculum, it is required to define and specify objectives and content units of "problem solving methods" and "programming" topics for the new section. In this paper, we define and specify the objectives and detailed contents by surveying various computer curriculums used in many other countries. Then, the specified objectives and content units are validated by a group of computer education experts. The final results of specified objectives show that areas of "comprehension", "application" and "synthesis" take relatively high percentage over the other areas. In the content specification, we set the content structure by describing how to solve a given real-world problem with a non-computerized way, followed by representing or transforming it with a corresponding computerized model.

• Proceedings of the Korea Information Processing Society Conference
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• 2009.04a
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• pp.558-561
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• 2009

본 논문에서는 웹기반 문제은행의 발전된 모형으로 문제 유형에 따른 학습자의 맞춤형 문제를 제공하는 시스템을 설계하였다. 본 시스템의 최종 목표는 능동적, 자기 주도적 학습을 실현할 수 있는 맞춤형 이러닝을 통해 학습자의 학업 성취도 향상에 있다. 교수자 및 개발자 중심의 이러닝 서비스가 아닌 학습자의 학습 결과에 능동적으로 반영하고 유연한 서비스를 제공하기 위해 문제 유형에 따른 적합한 다음 단계의 문제를 제공함으로써 이러닝의 효율을 극대화 한다. 기존의 고정 출제 또는 무작위 출제 방식에서 탈피하여 개별 학습자의 오답과 문제 유형을 고려하여 문제의 키워드, 선택된 보기의 키워드, 유동적 난이도에 따른 문제 추출 방식을 설계하였다. 이 모델은 보조 학습의 수단으로 문제은행 시스템을 학습자 중심에 근접하여, 융통적이고 효과적으로 개인화된 서비스를 제공한다.

• Proceedings of the Korean Information Science Society Conference
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• 1999.10b
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• pp.577-579
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• 1999

컴퓨터 그래픽의 모델링에 있어서 메타볼은 인체를 모델링하기에 매우 적합한 모델링 요소로서 사용되어 왔다. 메타볼을 랜더링하는 방법으로서는 광추적기법(ray-tracing)이나, 메타볼을 다각형화하여 다각형랜더링가속기를 이용하는 것이 있는데, 전자는 높은 계산량으로 인해서 실시간으로 랜더링하기 어려운 문제가 있고, 후자인 경우에는 모델링 과정에서 메타볼로 구성된 모델로부터 다각형들을 추출하여 이를 랜더링 시에는 랜더링 가속기를 이용해서 실시간으로 랜더링 할 수 있는 장점이 있지만, 다각형을 추출하는 과정이 높은 계산량과 많은 메모리를 필요로 하므로 랜더링 시 모델의 특성이 변화하는 경우마다 많은 계산량을 필요로 하는 다각형화를 재 수행해야 하므로 실시간 랜더링이 어려운 문제가 있다. 메타볼로 구성된 모델로부터 다각형을 추출하는 방법으로 많은 연구가 진행되었지만, 이들 대부분이 많은 메모리와 높은 계산량을 요구하고, 다각형화를 가속화기위한 병렬화가 어려운 문제점이 있다. 이로 인해서, 본 논문에서는 다음과 같이 두 가지 특징이 잇는 메타볼 다각형화 알고리즘에 대해서 제안하고자 한다. 첫째로 기존의 방법에 비해서 적은 메모리를 사용한다. 둘째로 높은 병렬화로 하여금 계산량의 문제를 해결하고자 한다.