• Educational Technology International
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• 제13권2호
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• pp.283-312
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• 2012

Problem-solving ability is one of the most important learning outcomes for students to compete and accomplish in a knowledge-based society. It has been empirically proven that visualization plays a central role in problem-solving. The best performing problem-solver might have a strong visualization tendency. However, there is little research as to what factors of visualization tendency primarily related to problem-solving ability according to phases of problem-solving. The purpose of this study is to identify the relationship between visualization tendency and problem-solving ability, to determine which factors of visualization tendency influence problem-solving ability in each phase of problem-solving, and to examine different problem-solving ability from the perspective of the levels of visualization tendency. This study has found out that visualization tendency has a significant correlation with problem-solving ability. Especially, Generative Visualization and Spatial-Motor Visualization as sub-visualization tendency were more strongly related to each phase of problem-solving. It indicates that visualization tendency to generate and operate mental processing can be considered a major cognitive skill to improve problem-solving ability. Furthermore, students who have high visualization tendency also have significantly higher problem-solving ability than students with low visualization tendency. It shows that the levels of visualization tendency can predict variables related to students' problem-solving ability.

• 한국수학교육학회지시리즈A:수학교육
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• 제52권4호
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• pp.531-547
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• 2013

The purpose of the study is to examine how effects of activities using Google SketchUp on students' spatial ability and 3D geometric thinking in measuring the volume of solid figures. By comparing the results from pre- and post-tests between the experimental group and control group, we found that activities using Google SketchUp help students improve their spatial ability in the spatial orientation and visualization. In addition, more than half students in the experimental group moved from level 4 up to level 7 in thinking process of measuring the volume in terms of Battista(2004)'s levels. This study suggests that the instruction with Google SketchUp can help to improve students' spatial ability and 3D geometric thinking in the regular class in middle school. In addition, SketchUp can be an advanced technological tool to support students' self-directed learning, which create an efficient educational environment and a great opportunity to learn geometry in an effective manner.

• 한국가시화정보학회지
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• 제17권2호
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• pp.48-57
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• 2019

A straightforward strategy for particle image velocimetry (PIV) interrogation and post-processing has been proposed, aiming at reducing errors and clarifying vortex structures. The interrogation window size should be kept small to reduce bias error and improve spatial resolution. A spatial filter is then applied to the velocity field to reduce random error and clarify flow structure. The performance of three popular spatial filters were assessed: box filter, median filter, and local quadratic polynomial regression filter. In order to quantify random uncertainty, the image matching (IM) method is applied to an experimental dataset of homogeneous and isotropic turbulence (HIT) obtained by 2D-PIV. We statistically analyze the uncertainty propagation through the spatial filters, and verify the reduction in random uncertainty. Moreover, we illustrate that the spatial filters help clarify vortex structures using vortex identification criteria. As a result, PIV random uncertainty was reduced and the vortex structures became clearer by spatial filtering.

• 한국멀티미디어학회논문지
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• 제18권9호
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• pp.1131-1139
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• 2015

The purpose of this research is creating the visualization platform of the user interface to make able to be provide the demanded service while users communication with surrounding space in a smart city environment. This comes from the latest enhanced interface technology and social media, and it uses the shares information to support the proper interface environment according to a life style and spatial properties. "EzCity" which is the user interface platform suggested in this research, can control the enormous amount of public data for the smart city. The core module of user platform is made up with Public data module, Interface module, Visualization module and Service module. The role of this platform is to be provide "Geo-Intelligent Interface Service" for space users to access the data in easier and more practical interface environment. This reinforces the visualization process for data collecting, systematization, visualization and providing service. Also this will be expected to be the base to solve the problem which complexity and rapidly increasing amount of data.

• 한국가시화정보학회지
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• 제14권1호
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• pp.51-56
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• 2016

Oxygen is a key factor in aerobic reactions and most biological activities. Visualization of oxygen distribution of a chemical process or biological system has been a very challenging object despite of its significance and potential impact. To monitor and visualize the spatial distribution of oxygen concentration, various techniques such as electro-chemical probe, polarographic electrode, LIF(laser-induced fluorescence) and so on have been introduced. Oxygen planar optode which utilizes the oxygen quenching of fluorescence light is one of the currently available methods for time-resolved visualization of oxygen distribution on a planar surface. In this study, we utilized VisiSens oxygen planar optode system to visualize the spatial distribution of oxygen concentration on leaves of Korean azalea. As a result, temporal variation of oxygen concentration distribution caused by respiratory activity of the leaf could be quantitatively monitored.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2007년도 Proceedings of ISRS 2007
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• pp.434-437
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• 2007

Maps contain and effectively visualize a number of spatial information. Advances in GIS enable researchers to analyze and represent spatial information through digital maps. Choropleth maps represent different quantities showing usually rates, percentages or densities. Generally, researchers make choropleth maps using raw rates. But, if the events are rare, raw rates cannot be sufficient in representing spatial phenomena. That is to say, if the population is large and events are rare, we cannot be sure that the raw rate is correct. The objective of this study is to make choropleth maps by several rate calculation methods and compare them. We use three methods in choropleth mapping; a raw rate, empirical Bayesian method, and spatial rate method which use prior probabilities. The experiments reveal that maps are somewhat different by used methods. We suggest that a raw rate method can not be an only way to make a rate map and researchers should choose an appropriate method for their objectives.

• Spatial Information Research
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• 제15권1호
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• pp.35-52
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• 2007

실세계에 가까운 가상현실의 표현기술과 웹을 통해 공간정보를 제공하는 3차원 GIS는 새로이 주목받는 분야 중에 하나이다. 특히, 공간데이터의 상호운용성에 대한 관심이 높아지고 있는 가운데, OGC는 상호운용을 지원하는 공간객체의 위상관계 명세를 발표하였다. 그러나 이 명세서는 2차원 공간객체에 국한되어있다. 이에 본 연구에서는 도시의 경관개선과 GIS 활용 기반 조성의 측면에서 3차원 공간객체의 위상관계를 구축하였다. 나아가 이를 토대로 신도시의 실정에 맞는 경관정보 가시화 방안을 제시하였다. 결과적으로 장소에 구애받지 않고 상시접속이 가능한 현실감 있는 도시경관에 대한 정보공유의 기틀을 마련하였다는 점에서 보다 큰 의의가 있다고 할 것이다.

• 대한지리학회:학술대회논문집
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• 대한지리학회 2006년도 연례 학술대회
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• pp.31-32
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• 2006

• 한국GIS학회:학술대회논문집
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• 한국GIS학회 2008년도 공동추계학술대회
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• pp.305-306
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• 2008

• 한국측량학회지
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• 제36권6호
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• pp.499-505
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• 2018

지금까지 만들어지고 있는 실내공간데이터는 공간적 활용을 위한 데이터라고 하기 보다는 삼각분할로 표현된 3DS나 COLLADA 형식의 가시화 데이터이다. 의미 있는 공간분석이나 실내응용서비스를 개발하기 위하여서는 단순히 삼각분할로 만들어진 가시화데이터가 아니라 의미적 공간정보가 필요하다. OGC (Open Geospatial Consortium) 표준인 IndoorGML(Indoor Geographic Markup Language)은 가시화가 아니라 실내공간 분석을 비롯한 다양한 응용을 위하여 만들어진 공간데이터 형식이다. 따라서 삼각분할로 표현된 3DS나 COLLADA형식의 실내 공간데이터를 OGC IndoorGML 형식으로 변환하는 것은 중요한 작업이 된다. 본 논문에서는 이 문제를 해결하기 위하여, 삼각분할 형식으로 표현된 원시 실내 공간데이터를 기하, 위상, 그리고 의미적으로 유용한 IndoorGML로 변환하는 방법을 제시한다. 또한 이 변환 방법의 타당성을 위하여 개발된 도구도 함께 소개한다. 실제 데이터를 통한 실험을 통하여 이 방법과 개발된 도구를 검증하였다.