• Journal of The Korean Association For Science Education
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• v.31 no.5
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• pp.734-744
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• 2011

The purpose of this study was to identify middle school students' mental models on plate tectonics and to compare the mental models of verbal-learning-style students with those of visual-learning-style students. 94 student participants in 9th grade were requested to draw and explain three topics; generation of magma, the formation of the mountain range and the interior of the Earth. The criterions for analyzing the mental models are derived from the data of the drawing task. The research results were as follows: The mental models on the generation of magma were classified as 'unstable model,' 'partial casual model,' 'causal model,' and 'conceptual model.' On the other hand, the mental models on the interior of the Earth were classified as 'static unstable model,' 'dynamic unstable model,' and 'conceptual model.' Students holding 'unstable model' were unable to relate the plate collision and the magma generation. They showed a variety of alternative conceptions of study areas, such as 'magma is generated from the core' and 'the mountain is formed by rising of the plates themselves.' Also, visual-learning-style students showed higher proportion of conceptual models and lower proportion of unstable mental models than verbal-learning-style students on three topics. The findings revealed that the students tend to have different concepts on the plate tectonics depending on their learning style.

• The Journal of Korea Robotics Society
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• v.4 no.2
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• pp.81-87
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• 2009

As expanding of service robots into the human life, the needs of robots are increased. The experts group forecasted that the robot market would grow rapidly in a short time, robot companies should compete with others for prior occupation in a market. In this research, we proposed a framework of robot identity design based on building methods of product identity and developed a case study. Identity is one of the strategies to distinguish from competitors through managing image united. It is possible to apply this identity approach on robot area, which was used for making image of companies, brands, and products. In general, identity has visual, invisual features, which can be classified into three elements; Robot Philosophy, Functional Affordance, Family Look. Robot philosophy means the vision or philosophy of a company through robot development, functional affordance is a character or role to serve and family look includes visual design elements like as shape, color, material, graphic, behavior etc. We suggest that this guide will be applied to build identity of following series of a model, models of same service group and all models of a company or commercial space.

• Korean Institute of Interior Design Journal
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• no.31
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• pp.56-63
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• 2002

This study intends to prepare a system that can be used, by applying digital technique, in analyzing complexity of architectural forms that have been visualized by the correlation based on the distribution chart made in accordance with profile lines. The profile lines are derived from the edge analysis of the architectural forms, simplified based on the visual theory. For the purpose, this study was conducted in the following ways: First, problems of the existing models for the elevation analysis were examined along with formal analysis based on visual recognition to consider the profile lines derived from the forms. Secondly, in elevation analysis, profile lines were derived by digital method to measure them qualitatively. To verify the objectivity of the measured data value, a survey was conducted based on the adjective cataloging method, and the correlation of the survey result and analyzed data was analyzed to verify the validity of the derived data. Thirdly, supplementation for the problems deducted from experiments and the possibility to use it in designing were suggested. Digital method has many advantages over the conventional analyzing system in deriving precise data value by excluding subjectivity. It also allows various analytical methods in analyzing numerous data repeatedly. Diversified models and methods of analysis considering numerous factors arising in the process of designing remain assignments to research in future.

• The Research Journal of the Costume Culture
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• v.9 no.3
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• pp.375-388
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• 2001

This study looks into the appearances and contents of undercloths advertisements by analyzing them appeared in women\`s magazines of Korea, which are , and published between 1965 and 1999 mainly targeting the women at the age of 20s through 40s. This study leads to the following conclusions : 1. Most of advertisements use 1 or 2 pages of the magazines with colored pictures. 2. The most frequently advertised underclothes is brassieres and white and pastel are dominant colors. Also, spandex and cotton are the most frequently appeared fabrics in the advertisement. 3. Professional Korean female models in twenties are the most favored choice for those underclothes advertisements and those models dominantly face their fore part with showing the body parts higher than their knees. Solo model appear in most of the advertisements and independent appearance is dominant. 4. In the visual expression of the advertisements explicitly show the products for visual expression, whereas verbal expressions mostly emphasize the benefits to be obtained from the underclothes advertised. 5. Advertisement appeals are mainly base on readers\` reason rather than sensibility.

• Journal of the Korea Computer Graphics Society
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• v.18 no.2
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• pp.63-72
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• 2012

As BIM(Building Information Modeling) is widely used in the construction process the need for exploring building models realistically is also growing. In this paper, we present a 3D stereoscopic navigation method for virtual buildings considering virtual perception. We first find out factors that may cause virtual discomfort while navigating stereoscopic building models, and then develop a method for automatically adjusting the range of virtual camera separation. In addition, we measure each user's JND(Just Noticeable Difference) in depth to adjust virtual camera separation and movement. The presented method can be used for various architectural applications by creating user-customized 3D stereoscopic contents.

• The Journal of Korean Association of Computer Education
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• v.4 no.1
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• pp.119-126
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• 2001

In this paper, a highly effective learning model that can be applied to the 7th level-based curriculum, which will begin in high schools in the year 2002, will be proposed. Two learning models that have different perspectives on dividing the students into level groups(diagnostic evaluation model and formative evaluation model) were introduced, and teaching materials for each model were developed. After applying the teaching materials to actual classes, the achievement rate of the students was analyzed. According to the results of this research, the achievement rate of students is affected by the point of time at which they are divided into level groups, and formative evaluation proved to be the superior learning model dividing students into level groups.

• The Journal of Society for e-Business Studies
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• v.4 no.3
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• pp.63-76
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• 1999

Internet-based electronic trade has been growing fast. But most users are not yet familiar with the system and find it very difficult to purchase and sell the products in the cyber market place. To handle these problems, agent-based virtual market place system has been proposed where agents instead of individuals participate in trading of goods. Most of the proposed models have been in the two general categories. The first is the direct transaction among sellers and buyers, and the second is the agent-based transaction. However, the transaction is not fair and the best deal can't be guaranteed for both models. In this paper, we propose a new broker based synchronous transaction algorithm which is fair to both parties and guarantees the best deal. Our algorithm is implemented using Visual C++ and the experimental results show that our method is better than the two traditional transaction models in every performance metrics, Number of transactions are increased up to 21% and price adjustment is up to 280% better for some transactions.

• Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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• 2006.04a
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• pp.387-392
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• 2006

3D-based information is needed increasingly as well as 2D Information as cities grow and buildings become large and complex, and use of 3D-models is getting attention to handle such problems. However, there are limitations in using 3D-models because most applications and research efforts using them have been for visual analysis. This study presents a method to find optimal paths in indoor spaces as an illustration for using 3D-models in spatial analysis. We modeled rooms, paths and other facilities in a building as individual 3D objects. We made it possible to find paths based on network structure by integrating the vector-based networks of 2D-GIS and 3D-model.

• Proceedings of the KSRS Conference
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• 2003.11a
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• pp.902-904
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• 2003

The main objective of this paper is to investigate the potential utility of multisensor remotely sensed data for improved coastal wetland mapping. Five data fusion models, three algebraic models (Multiplicative (MT), Brovey (BT) and Wavelet transform (WT)) and two spectral domain models (Principals component transform (PCT) and Intensity-Hue-Saturation (IHS)) were implemented and tested over the multisensor data. The fused images were then compared based on visual and statistical approaches. The results show that the wavelet transform provides greater flexibility for combining optical data sets and has good potential for preserving the spatial and spectral content of the original images . However, this model yields poor information when combining optical and microwave data. Brovey transform is more reliable for fusing optical and microwave image data and yields improved information about different wetland features of the coastal zone.

• Journal of Korea Society of Digital Industry and Information Management
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• v.13 no.4
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• pp.125-139
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• 2017

In this paper, we developed a framework to detect and predict insider information leakage by collecting and restoring network traffic. For automated behavior analysis, many meta information and behavior information obtained using network traffic collection are used as machine learning features. By these features, we created and learned behavior model, network model and protocol-specific models. In addition, the ensemble model was developed by digitizing and summing the results of various models. We developed a function to present information leakage candidates and view meta information and behavior information from various perspectives using the visual analysis. This supports to rule-based threat detection and machine learning based threat detection. In the future, we plan to make an ensemble model that applies a regression model to the results of the models, and plan to develop a model with deep learning technology.