• Journal of the Korean Institute of Rural Architecture
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• v.15 no.1
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• pp.81-88
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• 2013

The recently built rural Hanoks have shown changes in appearances regarding its shape, space and size in the traditional floor plan. This is probably the transformation process to suit the needs of modern residence as new spaces and other factors are considered these days. The purpose of the research is to provide basic data for the innovation and construction of future Hankoks by analyzing the size features of the Hanoks in the rural areas of Jeeollanam-do and changing trends. They were divided into 5 types depending on the shape and the spacing of the living room and kitchen. Then size features per each type were analyzed. From this, it was revealed that there needs to be reasonable development of types in the standard design of Hanok because the size of the rooms is actually bigger than the standard design of Hanok in Jeollanam-do. The composition of the utility rooms should be classified as either domestic space or agricultural workspace considering that this area is rural but there are not enough storage spaces for agricultural machines and materials in most houses as they did not install external storage spaces. Therefore, it was analyzed that the size varies with the changes in the composition of space because of Hankok's similarities in the area of the rooms with typical apartments.

• Journal of the Korean Association of Geographic Information Studies
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• v.8 no.3
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• pp.84-95
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• 2005

This paper presents solution heuristics to solving optimal multiple-viewpoint location problems that are based on topographic features. The visibility problem is to maximise the viewshed area for a set of viewpoints on digital elevation models (DEM). For this analysis, five areas are selected, and fundamental topographic features (peak, pass, and pit) are extracted from the DEMs of the study areas. To solve the visibility problem, at first, solution approaches based on the characteristics of the topographic features are explored, and then, a benchmark test is undertaken that solution performances of the solution methods, such as computing times, and visible area sizes, are compared with the performances of traditional spatial heuristics. The feasibility of the solution methods, then, are discussed with the benchmark test results. From the analysis, this paper can conclude that fundamental topographic features based solution methods suggest a new sight of visibility analysis approach which did not discuss in traditional algorithmic approaches. Finally, further research avenues are suggested such as exploring more sophisticated selection process of topographic features related to visibility analysis, exploiting systematic methods to extract topographic features, and robust spatial analytical techniques and optimization techniques that enable to use the topographic features effectively.

• Proceedings of the IEEK Conference
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• 2001.06d
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• pp.69-72
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• 2001

This paper proposes a positional estimation method for extracted line features by stereo vision. Based on given reference plane, planar surfaces corresponding the given plane are first extracted. Then, features in the planar surfaces are selected. Using the Extended Kalman Filter the feature positions are estimated by combining area- and feature-based stereo matching results. Experimental results show the proposed method is feasible.

• Proceedings of the KSRS Conference
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• 2003.11a
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• pp.423-425
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• 2003

In this paper, we propose a new scheme for matching specified areas in a satellite image, which is a very efficient method because it can be effectively applied to images that have various features. These features may include different spatial resolution and brightness; sometimes they may different geometrical property. The proposed method can be applied to some application fields such as mosaicing of satellite imagery, GCP matching.

• Journal of Institute of Control, Robotics and Systems
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• v.11 no.1
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• pp.50-57
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• 2005

We present a simple and effective method of face and facial feature detection under pose variation of user face in complex background for the human-robot interaction. Our approach is a flexible method that can be performed in both color and gray facial image and is also feasible for detecting facial features in quasi real-time. Based on the characteristics of the intensity of neighborhood area of facial features, new directional template for facial feature is defined. From applying this template to input facial image, novel edge-like blob map (EBM) with multiple intensity strengths is constructed. Regardless of color information of input image, using this map and conditions for facial characteristics, we show that the locations of face and its features - i.e., two eyes and a mouth-can be successfully estimated. Without the information of facial area boundary, final candidate face region is determined by both obtained locations of facial features and weighted correlation values with standard facial templates. Experimental results from many color images and well-known gray level face database images authorize the usefulness of proposed algorithm.

• Korean Journal of Remote Sensing
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• v.34 no.1
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• pp.45-74
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• 2018

Landslide is a natural hazard that threats lives and properties in many areas around the world. Landslides are difficult to recognize, particularly in rainforest regions. Thus, an accurate, detailed, and updated inventory map is required for landslide susceptibility, hazard, and risk analyses. The inconsistency in the results obtained using different features selection techniques in the literature has highlighted the importance of evaluating these techniques. Thus, in this study, six techniques of features selection were evaluated. Very-high-resolution LiDAR point clouds and orthophotos were acquired simultaneously in a rainforest area of Cameron Highlands, Malaysia by airborne laser scanning (LiDAR). A fuzzy-based segmentation parameter (FbSP optimizer) was used to optimize the segmentation parameters. Training samples were evaluated using a stratified random sampling method and set to 70% training samples. Two machine-learning algorithms, namely, Support Vector Machine (SVM) and Random Forest (RF), were used to evaluate the performance of each features selection algorithm. The overall accuracies of the SVM and RF models revealed that three of the six algorithms exhibited higher ranks in landslide detection. Results indicated that the classification accuracies of the RF classifier were higher than the SVM classifier using either all features or only the optimal features. The proposed techniques performed well in detecting the landslides in a rainforest area of Malaysia, and these techniques can be easily extended to similar regions.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2009.05a
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• pp.517-520
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• 2009

This dissertation was aimed at finding an implication of selecting and educating the gifted of information science discovering features of gifted learner in the field of math and science and the gifted of information science through comparative analysis of observing evaluation for the gifted of information science. Subjects of the study are foundation course learners of University Science Education Institute for the Gifted in the field of physics, earth science, math, information science. We have compared the features of learners of each field through one-way ANOVA about an observing evaluation for one year. In consequence, information science learners showed mostly different features from physics and earth science learners in details of an attitude area and a problem solving area. On this, the researcher concluded that there must be features of the gifted on information science and their difference from gifted learners in math and science was caused by learner levels and features of each field. Based on the result of this study, we expect that we can imply it to selecting and educating the gifted of information science.

• Korean Institute of Interior Design Journal
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• no.23
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• pp.9-16
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• 2000

year in Europe and Asia. Therefore the introduction of new ships continues at a great rate. There is a definite trend toward either large ships or smaller, more luxurious vessels in cruise industry. The day to design and build the large cruise vessel is coming to Korean shipyards, sooner or later. The most important thing to design large cruise vessel is to have a correct comprehension about the feature of cruise vessel, especially of the passenger accommodation area in cruise vessel. This paper is on the spatial features of the passenger accommodation area in cruise vessel. General arrangement drawings, deck plans and technical data of the newest large cruise ships are analysed to understand the spatial features and induce the direction of space planning of passenger accommodation area for the large cruise ship of tomorrow.

• Journal of the Korean Institute of Rural Architecture
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• v.2 no.2
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• pp.1-10
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• 2000

The traditional farm houses in Yongdong area of Kangwon province have a different spatial structure from those of the other areas because of the characteristics of the climatic, geographic and sociocultural circumstances between the Taebaek mountains and the East Sea. So the purpose of this study is aimed at grasping how the spatial features of traditional farm houses in Yongdong area have been different in each regional circle. The plans of traditional farm houses of this region which are four types - ㅡ typed house without floor, ㅡ typed house with floor, ㄱ typed house without floor, ㄱ typed house with floor - show very similar but different space arrangements.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2005.10a
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• pp.115-118
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• 2005

A workpiece with a large surface area is likely to be uneven due to form error and waviness. These geometric disturbances can cause inaccurate micro shapes to be formed when micro features are micro-grooved into the surface and cause the resulting workpiece to fail to function as desired. Thus, real-time measurement and compensation is required to guarantee the form accuracy of micro features while machining a workpiece with a large surface area. In this study, a method is suggested for real-time measurement of geometric error for the micro grooving of a large flat surface using a laser displacement sensor. The measurements are demonstrated for the workpieces with large surface areas and the experimental results show that the waviness and form error are well detected.