• Journal of the Korean Society of Industry Convergence
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• v.7 no.1
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• pp.41-46
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• 2004

This paper proposes a separation of mixed signals by using the robust independent component analysis(RICA) based on neural networks. RICA is based on the temporal correlations and the second order statistics of signal. This method e is applied for improving the analysis rate and speed in which the sources have very small or zero kurtosis. The proposed method has been applied for separating the 10 mixed finger prints of $256{\times}256$-pixel and the 4 mixed images of $512{\times}512$-pixel, respectively. The simulation results show that RICA has the separating rate and speed better than those using the conventional FP algorithm based on Newton method.

• Earthquakes and Structures
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• v.1 no.2
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• pp.163-175
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• 2010

The vertical axis through the modal center of rigidity (m-CR) is used for interpreting the code torsional provisions in the design of eccentric multi-story building structures. The concept of m-CR has been demonstrated by the author in an earlier paper and the particular feature of this point is that when the vertical line of the centers of mass at the floor levels is passing through m-CR, minimum base torsion is developed. For this reason the aforesaid axis is used as reference axis for implementing the code provisions required by the equivalent static analysis. The study examines uniform mixed-bent-type multistory buildings with simple eccentricity, ranging from torsionally stiff to torsionally flexible systems. Using the results of a dynamic response spectrum analysis as a basis for comparisons, it is shown that the results of the code static design are on the safe side in torsionally stiff buildings, but unable to predict the required strength of bents on the stiff side of systems with a predominantly torsional response. Suggestions are made for improving the code provisions in such cases.

• Journal for History of Mathematics
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• v.26 no.1
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• pp.85-101
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• 2013

This study is to analyse the characteristics of Barrow's theorem on the historical standpoint of hermeneutics and to discuss the teaching-learning sequence for guiding students to reinvent the calculus according to historico-genetic principle. By the historical analysis on the Barrow's theorem, we show the geometric feature of the theorem, conjecture the Barrow's intention in dealing with it, and consider the epistemological obstacles undergone by Barrow. On a basis of this result, we suggest a purposeful and meaning-oriented teaching-learning way for students to realize the sameness of the 'integration' and 'anti-differentiation', and point out the shortcomings and supplement point in current School Mathematic Calculus.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.40 no.4
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• pp.437-444
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• 2020

A lunar rover's optical camera is used to provide navigation and terrain information in an exploration zone. However, due to the scant presence of atmosphere, the Moon has homogeneous terrain with dark soil. Also, in extreme environments, the rover has limited data storage with low computation capability. Thus, for successful exploration, it is required to examine feature detection and matching methods which are robust to lunar terrain and environmental characteristics. In this research, SIFT, SURF, BRISK, ORB, and AKAZE are comparatively analyzed with lunar terrain images from a lunar rover. Experimental results show that SIFT and AKAZE are most robust for lunar terrain characteristics. AKAZE detects less quantity of feature points than SIFT, but feature points are detected and matched with high precision and the least computational cost. AKAZE is adequate for fast and accurate navigation information. Although SIFT has the highest computational cost, the largest quantity of feature points are stably detected and matched. The rover periodically sends terrain images to Earth. Thus, SIFT is suitable for global 3D terrain map construction in that a large amount of terrain images can be processed on Earth. Study results are expected to provide a guideline to utilize feature detection and matching methods for future lunar exploration rovers.

• Journal of the Institute of Electronics Engineers of Korea SD
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• v.45 no.6
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• pp.49-59
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• 2008

SIFT(Scale Invariant Feature Transform) is an algorithm to extract vectors at pixels around keypoints, in which the pixel colors are very different from neighbors, such as vortices and edges of an object. The SIFT algorithm is being actively researched for various image processing applications including 3-D image constructions, and its most computation-intensive stage is a keypoint localization. In this paper, we develope a fixed-point model of the keypoint localization and propose its efficient hardware architecture for embedded applications. The bit-length of key variables are determined based on two performance measures: localization accuracy and error rate. Comparing with the original algorithm (implemented in Matlab), the accuracy and error rate of the proposed fixed point model are 93.57% and 2.72% respectively. In addition, we found that most of missing keypoints appeared at the edges of an object which are not very important in the case of keypoints matching. We estimate that the hardware implementation will give processing speed of $10{\sim}15\;frame/sec$, while its fixed point implementation on Pentium Core2Duo (2.13 GHz) and ARM9 (400 MHz) takes 10 seconds and one hour each to process a frame.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.21 no.1
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• pp.53-60
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• 2003

Generally, feature of real world as 2-dimensional information of point, line and polygon achieve a GIS function from 2-dimensional GIS. But at enduring the geography elements which exist when it is composed of 3-dimensional spatial information it is abstracted with 2-dimensional which will reach, the loss of many information and 2-dimensional GIS of existing the basic limit exists md, Accordingly, 3-dimensional geography elements of the real world even at the computer controlling with 3-dimensional geography element original it will be able to minimize the loss of information which it keeps, for 3-dimensional expression and the analysis against the natural facility and the artificial facility of the real world it is the actual condition whose 3-dimensional GIS of ultimate form are necessary. This study was 2-dimensional feature a point the line and polygon and 3-dimensional spatial data information as the method for to use the VRML(Virtual Reality Modeling Language), 3-dimensional virtual worlds for 3-dimensional GIS applications to create and hereafter various decision making of at connection web more efficient and the possibility of doing in vision in order to be, it drew up a spatial database.

• The Journal of the Korea Contents Association
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• v.14 no.1
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• pp.119-127
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• 2014

As keen marketing competition for increasing corporate image has been begun, the creative level of annual report design, which is deeply involved with investment, has became a fundamental measure of corporate value. Good commercial design has to have both practical and aesthetic aspect. For make more creative annual report project. it's worth to find world design trend in practical way. The point of study focuses and sorts on physical properties of out-put works by the view point of editorial design, and tries to find the possibility of common design style. It analyzes key message, pagination plan and feature pages of 2013 ARC awarded annual report works in interior design category. The visual image and typographic style study of awarded works will help planner and designer who develop annual report project, because this research data reduces their process. Then it's possible to have more opportunities to create project and supports background material for making a presentation for clients.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.38 no.3
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• pp.236-242
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• 2010

A GNSS/INS integration system can not provide navigation solutions if there are no available satellites. To overcome this problem, a vision sensor is integrated with this system. Since generally a vision aided integration system uses only feature point to compute navigation solutions, it has a problem in observability. In this case, additional landmarks, which is priory known points, can improve the observability. In this paper, the observability is evaluated using TOM/SOM matrix and Eigenvalues. There are always the observability problems in the feature-point-only case, but the landmark-use case is fully observable after the $2^{nd}$ update time. Consequently the landmarks ensure full observability, so the system performance can be improved.

• Korean Journal of Remote Sensing
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• v.27 no.3
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• pp.359-367
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• 2011

A suitable pan-sharpening method has to be chosen with respect to the used spectral characteristic of the multispectral bands and the intended application. The research on pan-sharpening algorithm in improving the accuracy of image classification has been reported. For a classification, preserving the spectral information is important. Other applications such as road detection depend on a sharp and detailed display of the scene. Various criteria applied to scenes with different characteristics should be used to compare the pan-sharpening methods. The pan-sharpening methods in our research comprise rather common techniques like Brovey, IHS(Intensity Hue Saturation) transform, and PCA(Principal Component Analysis), and more complex approaches, including wavelet transformation. The extraction of matching pairs was performed through SIFT descriptor and Canny edge detector. The experiments showed that pan-sharpening techniques for spatial enhancement were effective for extracting point and linear features. As a result of the validation it clearly emphasized that a suitable pan-sharpening method has to be chosen with respect to the used spectral characteristic of the multispectral bands and the intended application. In future it is necessary to design hybrid pan-sharpening for the updating of features and land-use class of a map.

• Proceedings of the Korea Water Resources Association Conference
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• 2010.05a
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• pp.1144-1148
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• 2010

오염원이 집중되는 도시지역에서의 비점오염원에 대한 관리대책은 점오염원에 비하여 미비한 실정이다. 따라서 도시 지역의 비점오염원 부하량의 합리적인 조사, 비점오염물질 저감을 위한 관리기술 개발과 아울러 정책의 개발 등이 필요하며, 도시지역에서의 장기적인 비점오염물질 유출에 관한 모니터링을 통한 비점오염물질 원단위 조사가 절실히 요구되고 있는 실정이다. 따라서 본 연구에서는 상업 및 위락시설지역의 비점오염원 유출특성을 분석하기 위해 2008년 4월부터 2009년 10월까지 실측에 의해 측정된 강우량과 유출량 자료를 이용하여 비점오염원 유출특성을 분석하였다. 또한 본 연구에서는 자기 조직화 특성지도(Self-Organizing Feature Map: SOFM) 이론을 적용하여 측정된 유출 및 수질자료에 대해 패턴분류를 수행하여 분할구역별 자료의 특성분석을 통해 초기강우 특성이 구분되어짐을 확인 할 수 있었다. 그러나 현재 축적된 자료에 대한 양적인 한계로 인해 명확한 구분이 이루어지지 않는 항목도 있었으나, 향후 지속적인 모니터링을 통해 충분한 자료가 축적될 경우 초기강우 기준을 위한 새로운 접근방법으로 제시될 수 있을 것으로 기대된다.