• Journal of the Korean Society for Railway
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• v.16 no.4
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• pp.286-297
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• 2013

In this paper we evaluated dynamic stability, considering the effects of modeling and analysis methods on moving load analysis, for which a sophisticated 3 dimensional model of a PSC-I type girder bridge was used. For this purpose, we suggested a reasonable modeling method and the physical properties of the concrete and ballasted track system involved. We also analyzed the response characteristics according to: 1) the type of track system; 2) whether or not the track was modeled; 3) whether or not the distance between the girder center and the bearing were considered; 4) the analysis method (i.e., direct integral and modal analysis); 5) whether or not the frequency was filtered.

• Journal of the Korea Society of Computer and Information
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• v.10 no.3 s.35
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• pp.201-208
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• 2005

Event notification service is a event-based messaging middleware service needed for various vertical domains, such as, business applications, distributed system management, and web service integration. In this paper, we investigate the architecture of an event notification service that includes a subject-based event dissemination service and a flexible message communication service. The event dissemination service is in charge of transferring events asynchronously but speedy according to the subjects of events and their environmental knowledge. It also includes content-based message filtering. The message communication service provides a common communication infrastructure supporting variety types of messages and variety of protocols. Depending on application domains and situation, we can re-configurate the communication infrastructure in order to optimize the efficiency and usability. This paper shows the performance analysis of our event notification service with various types of message formats and protocols.

• Journal of the Korea Society of Computer and Information
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• v.15 no.12
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• pp.27-35
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• 2010

Extracting skin color is significant in adult image detection. However, conventional methods still have essential problems in extracting skin color. That is, colors of human skins are basically not the same because of individual skin difference or difference races. Moreover, skin regions of images may not have identical color due to makeup, different cameras used, etc. Therefore, most of the existing methods use predefined skin color models. To resolve these problems, in this paper, we propose a new adult image detection method that robustly segments skin areas with an input image-adapted skin color distribution model, and verifies if the segmented skin regions contain naked bodies by fusing several representative features through a neural network scheme. Experimental results show that our method outperforms others through various experiments. We expect that the suggested method will be useful in many applications such as face detection and objectionable image filtering.

• Journal of the Korea Society of Computer and Information
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• v.16 no.3
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• pp.89-97
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• 2011

In semantic web information system like ontology that access distributed information from network, efficient query processing requires an advanced caching mechanism to reduce the query response time. P2P network system have become an important infra structure in web environment. In P2P network system, when the query is initiated, reducing the demand of data transformation to source peer is important aspect of efficient query processing. Caching of query and query result takes a particular advantage by adding or removing a query term. Many of the answers may already be cached and can be delivered to the user right away. In web environment, semantic caching method has been proposed which manages the cache as a collection of semantic regions. In this paper, we propose the semantic caching technique in cluster environment of peers. Especially, using schema data filtering technique and schema similarity cache replacement method, we enhanced the query processing efficiency.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.34 no.5
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• pp.479-493
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• 2016

LiDAR(Light Detection and Ranging) data acquired from ALS(Airborne Laser Scanner) has been intensively utilized to reconstruct object models. Especially, researches for 3D modeling from LiDAR data have been performed to establish high quality spatial information such as precise 3D city models and true orthoimages efficiently. To reconstruct object models from irregularly distributed LiDAR point clouds, sensor calibration, noise removal, filtering to separate objects from ground surfaces are required as pre-processing. Classification and segmentation based on geometric homogeneity of the features, grouping and representation of the segmented surfaces, topological analysis of the surface patches for modeling, and accuracy assessment are accompanied by modeling procedure. While many modeling methods are based on the segmentation process, this paper proposed to extract key points directly for building modeling without segmentation. The method was applied to simulated and real data sets with various roof shapes. The results demonstrate feasibility of the proposed method through the accuracy analysis.

• Korean Journal of Remote Sensing
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• v.28 no.2
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• pp.227-235
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• 2012

The InSAR (Interferometric SAR) processing steps for DEM generation consist of the coregistration of two SAR data, interferogram generation, phase filtering, phase unwrapping, phase to height conversion, and geocoding, etc. In this study, we developed the precise algorithm for phase to height conversion, including the ambiguity method taking into account Earth ellipsoid, Schw$\ddot{a}$visch method, and the refined ambiguity method suitable for the interferometric pair with non-parallel obit. From the testing with JERS-1 orbit we found that the height error by traditional ambiguity method reaches to about 40 m during phase to height conversion. The proposed methods are very useful in generating precise InSAR DEM;especially in the case of using non-parallel InSAR pair due to unstable orbit control such as JERS-1 or intentional orbit control such as Cross-InSAR pair between ERS2 and ENVISAT satellite.

• Proceedings of the Korean Vacuum Society Conference
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• 1999.07a
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• pp.150-150
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• 1999

재료의 광학적 특성을 변화시키기 위한 표면 코팅의 사용을 잘 알려져 있다. 그리고 이러한 광학 코팅은 우리가 주위에서 볼 수 있는 렌즈에서부터 레이저반사경 다 나아가 다양한 광학 필터에 이르기까지 빛의 간섭을 이용한 광학 박막의 코팅은 폭넓게 이용되고 있다. 그러한 응용가운데 불필요한 표면 반사를 방지함으로써 전체 투과율을 강화시키기 위한 무반사(Anti-Reflection) 코팅은 오늘날 광대역 무반사 특성 등 다양한 광학적 요구에 따라 하나 또는 그 이상의 층을 형성함으로써 극적으로 성취할 수 있다. 본 실험은 기존 많이 활용되는 증발법 그리고 스퍼터링 방법과는 달리 고진공하에서 증착 변수를 효과적으로 제어, 박막을 형성할 수 있는 자체 제작된 단일 IBS(Ion Beam Sputtering) 시스템을 이용하여 우수한 광학적 특성을 갖는 광학 재료로써 무반사용 다층박막 형성하기 앞서 MgF2, ZrO2 (yttria stabilized zirconia) 단층 박막을 제조하였으며, 각 증착 변수에 따른 결정학적 및 광학적 특성을 관찰하였다. 본 실험에 사용된 제조 장비로 Kaufman type 2.5inch의 이온 건이 장착된 Ion Beam sputtering 시스템으로 초기 진공도는 5$\times$10-6orr이며, 이온 빔의 전류 밀도는 Fareday cup을 이용했다. 6inch 크기의 ZrO2(yttria stabilized zirconia), MgF2 타겟트를 이용하여 Si(100), glass 기판위에 박막을 성장시켰다. 각 타겟트에 대한 증착변수로 이온 에너지, 기판온도, Ar 가스량을 변화시키면서 박막을 제조하였다. 제조된 박막의 광학적 특성으로 가시 영역에서 투과율의 변화는 자외/가시광선 분광 분석기 (UV/VIS specrophotometer)를 이용하여 측정했다. 그리고 박막의 조성 및 결정학적 구조는 AES EDS와 XRD로 확인하였다. 이온 빔 전압 500V, 빔 저류 55mA일 때 온도는 상온에서 30$0^{\circ}C$까지 승온 후 MgF2 박막의 XRD분석결과 우세한 결정성을 관찰할 수 없었으며, 이 때의 광 투과도는 가시영역에서 80~90%의 값으로 측정되었다. 추후 증착된 막의 결정성을 위해 열처리를 실시하고, 각 증착조건에 대한 결과는 학회 발표시 보고한다.

• Journal of the Korean Geotechnical Society
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• v.27 no.11
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• pp.93-101
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• 2011

High quality X-ray computed microtomography (micro-CT) imaging of internal microstructures and pore space in geomaterials is often hampered by some inherent noises embedded in the images. In this paper, we introduce image calibration techniques for removing the most common noises in X-ray micro-CT, cupping (brightness difference between the periphery and central regions) and ring artifacts (consecutive concentric circles emanating from the origin). The artifacts removal sequentially applies coordinate transformation, normalization, and low-pass filtering in 2D Fourier spectrum to raw CT-images. The applicability and performance of the techniques are showcased by describing extraction of 3D pore structures from micro-CT images of porous basalt using artifacts reductions, binarization, and volume stacking. Comparisions between calibrated and raw images indicate that the artifacts removal allows us to avoid the overestimation of porosity of imaged materials, and proper calibration of the artifacts plays a crucial role in using X-ray CT for geomaterials.

• Journal of the Korean Institute of Intelligent Systems
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• v.16 no.2
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• pp.185-190
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• 2006

Most systems in ubiquitous computing analyze context information of users which have similar propensity with demographics methods and collaborative filtering to provide personalized recommendation services. The systems have mostly used static context information such as sex, age, job, and purchase history. However the systems have limitation to analyze users' propensity accurately and to provide personalized recommendation services in real-time, because they have difficulty in considering users situation as moving path. In this paper we use users' moving path of dynamic context to consider users situation. For the prediction accuracy we complete with a path completion algorithm to moving path which is inputted to RSOM. We train the moving path to be completed by RSOM, analyze users' moving pattern and predict a future moving path. Then we recommend the nearest product on the prediction path with users' high preference in real-time. As the experimental result, MAE is lower than 0.5 averagely and we confirmed our method can predict users moving path correctly.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.37 no.7B
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• pp.586-594
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• 2012

The drastic growth of mobile communication and spreading of smart phone make the significant attention on Location Based Service. The one of most important things for vitalization of LBS is the accurate estimating position for mobile object. Focusing on AP's probabilistic position estimation, we develop an AP distribution map and new pattern matching algorithm for position estimation. The developed approaches can strengthen the advantages of Radio fingerprint based Wi-Fi Positioning System, especiall on the algorithms and data handling. Compared on the existing approaches of fingerprint pattern matching algorithm, we achieve the comparable higher performance on both of average error of estimation and deviation of errors. Furthermore all fingerprint data have been harvested from the actual measurement of radio fingerprint of Seoul, Kangnam area. This can approve the practical usefulness of proposed methodology.