• Title/Summary/Keyword: Fusion boundary

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Ground Target Classification Algorithm based on Multi-Sensor Images (다중센서 영상 기반의 지상 표적 분류 알고리즘)

  • Lee, Eun-Young;Gu, Eun-Hye;Lee, Hee-Yul;Cho, Woong-Ho;Park, Kil-Houm
    • Journal of Korea Multimedia Society
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    • v.15 no.2
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    • pp.195-203
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    • 2012
  • This paper proposes ground target classification algorithm based on decision fusion and feature extraction method using multi-sensor images. The decisions obtained from the individual classifiers are fused by applying a weighted voting method to improve target recognition rate. For classifying the targets belong to the individual sensors images, features robust to scale and rotation are extracted using the difference of brightness of CM images obtained from CCD image and the boundary similarity and the width ratio between the vehicle body and turret of target in FLIR image. Finally, we verity the performance of proposed ground target classification algorithm and feature extraction method by the experimentation.

NANO-STRUCTURAL AND NANO-CHEMICAL ANALYSIS OF NI-BASE ALLOY/LOW ALLOY STEEL DISSIMILAR METAL WELD INTERFACES

  • Choi, Kyoung-Joon;Shin, Sang-Hun;Kim, Jong-Jin;Jung, Ju-Ang;Kim, Ji-Hyun
    • Nuclear Engineering and Technology
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    • v.44 no.5
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    • pp.491-500
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    • 2012
  • The dissimilar metal joints welded between Ni-based alloy, Alloy 690 and low alloy steel, A533 Gr. B with Alloy 152 filler metal were characterized by using optical microscope, scanning electron microscope, transmission electron microscope, secondary ion mass spectrometry and 3-dimensional atom probe tomography. It was found that in the weld root region, the weld was divided into several regions including unmixed zone in Ni-base alloy, fusion boundary, and heat-affected zone in the low alloy steel. The result of nanostructural and nanochemical analyses in this study showed the non-homogeneous distribution of elements with higher Fe but lower Mn, Ni and Cr in A533 Gr. B compared with Alloy 152, and the precipitation of carbides near the fusion boundary.

Thermo-mechanical damage of tungsten surfaces exposed to rapid transient plasma heat loads

  • Crosby, Tamer;Ghoniem, Nasr M.
    • Interaction and multiscale mechanics
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    • v.4 no.3
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    • pp.207-217
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    • 2011
  • International efforts have focused recently on the development of tungsten surfaces that can intercept energetic ionized and neutral atoms, and heat fluxes in the divertor region of magnetic fusion confinement devices. The combination of transient heating and local swelling due to implanted helium and hydrogen atoms has been experimentally shown to lead to severe surface and sub-surface damage. We present here a computational model to determine the relationship between the thermo-mechanical loading conditions, and the onset of damage and failure of tungsten surfaces. The model is based on thermo-elasticity, coupled with a grain boundary damage mode that includes contact cohesive elements for grain boundary sliding and fracture. This mechanics model is also coupled with a transient heat conduction model for temperature distributions following rapid thermal pulses. Results of the computational model are compared to experiments on tungsten bombarded with energetic helium and deuterium particle fluxes.

Autonomous Navigation of KUVE (KIST Unmanned Vehicle Electric) (KUVE (KIST 무인 주행 전기 자동차)의 자율 주행)

  • Chun, Chang-Mook;Suh, Seung-Beum;Lee, Sang-Hoon;Roh, Chi-Won;Kang, Sung-Chul;Kang, Yeon-Sik
    • Journal of Institute of Control, Robotics and Systems
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    • v.16 no.7
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    • pp.617-624
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    • 2010
  • This article describes the system architecture of KUVE (KIST Unmanned Vehicle Electric) and unmanned autonomous navigation of it in KIST. KUVE, which is an electric light-duty vehicle, is equipped with two laser range finders, a vision camera, a differential GPS system, an inertial measurement unit, odometers, and control computers for autonomous navigation. KUVE estimates and tracks the boundary of road such as curb and line using a laser range finder and a vision camera. It follows predetermined trajectory if there is no detectable boundary of road using the DGPS, IMU, and odometers. KUVE has over 80% of success rate of autonomous navigation in KIST.

Friction Behavior of Oil-enriched Nanoporous Anodic Aluminum Oxide Film (오일 함침된 나노 기공 산화알루미늄 필름의 마찰 거동)

  • Kim, Hyo-Sang;Kim, Dae-Hyun;Hahn, Jun-Hee;Ahn, Hyo-Sok
    • Tribology and Lubricants
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    • v.27 no.4
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    • pp.193-197
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    • 2011
  • Friction behavior of nanoporous anodic aluminum oxide(AAO) film was investigated. A 60 ${\mu}m$ thick AAO film having nanopores of 45 nm diameter with 105 nm interpore-diatance was fabricated by mild anodization process. The AAO film was then saturated with paraffinic oil. Reciprocating ball-on-flat sliding friction tests using 1 mm diameter steel ball as the counterpart were carried out with normal load ranging from 0.1 N to 1 N in an ambient environment. The morphology of worn surfaces were analyzed using scanning electron microscopy. The friction coefficient significantly increased with the increase of load. The boundary lubrication layer of paraffinic oil contributed to the lower friction at relatively low load (0.1 N), but it is less effective at high load (1 N). Plastic deformed layer patches were formed on the worn surface of oil-enriched AAO at relatively low load (0.1 N) without evidence of tribochemical reaction. On the other hand, thick tribolayers were formed on the worn surface of both oil-enriched and as-prepared AAO at relatively high load (1 N) due to tribochemical reaction and material transfer.

Context Dependent Fusion with Support Vector Machines (Support Vector Machine을 이용한 문맥 민감형 융합)

  • Heo, Gyeongyong
    • Journal of the Korea Society of Computer and Information
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    • v.18 no.7
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    • pp.37-45
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    • 2013
  • Context dependent fusion (CDF) is a fusion algorithm that combines multiple outputs from different classifiers to achieve better performance. CDF tries to divide the problem context into several homogeneous sub-contexts and to fuse data locally with respect to each sub-context. CDF showed better performance than existing methods, however, it is sensitive to noise due to the large number of parameters optimized and the innate linearity limits the application of CDF. In this paper, a variant of CDF using support vector machines (SVMs) for fusion and kernel principal component analysis (K-PCA) for context extraction is proposed to solve the problems in CDF, named CDF-SVM. Kernel PCA can shape irregular clusters including elliptical ones through the non-linear kernel transformation and SVM can draw a non-linear decision boundary. Regularization terms is also included in the objective function of CDF-SVM to mitigate the noise sensitivity in CDF. CDF-SVM showed better performance than CDF and its variants, which is demonstrated through the experiments with a landmine data set.

Development of Apparatus and Methods for Understanding the Dynamics of the Western Boundary Current (서안경계류 역학을 이해하기 위한 실험 장치 및 방법 개발)

  • Jang, Swung-Hwan;Shin, Jung-Sun;Moon, Byung-Kwon
    • Journal of the Korean earth science society
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    • v.31 no.1
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    • pp.88-94
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    • 2010
  • A simple laboratory device and methodology are developed for deep understanding of the western boundary current (WBC). The apparatus consists of a rotating (count-clockwise) rectangular tank with a sloping bottom in order to simulate the beta effect, the variation of the Coriolis parameter with latitude. We also used a clockwise rotating disk at the surface water to mimic the wind stress forcing in mid-latitude oceans. Four experiments were carried out using some combination of a bottom type and a rotation of the tank. Experiment with the beta effect clearly demonstrated the WBClike flow as well as the Sverdrup interior. However, the water in a tank gave rise to an inertial motion under the influence of a constant Coriolis force alone. We also discussed a stiffening of the rotating fluid on the basis of the Taylor-Proudman effect. We believe that the apparatus and methods developed in this study help to understand the WBC due to the beta effect.

Effects of Microstructures on the Toughness of High Heat Input EG Welded Joint of EH36-TM Steel (EH36-TM강의 대입열 EGW 용접부 저온 인성에 미치는 미세 조직의 영향)

  • Choi, Woo-Hyuk;Cho, Sung-Kyu;Choi, Won-Kyu;Ko, Sang-Gi;Han, Jong-Man
    • Journal of Welding and Joining
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    • v.30 no.1
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    • pp.64-71
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    • 2012
  • The characteristics of high heat input (342kJ/cm) EG (Electro Gas Arc) welded joint of EH36-TM steel has been investigated. The weld metal microstructure consisted of fine acicular ferrite (AF), a little volume of polygonal ferrite (PF) and grain boundary ferrite (GBF). Charpy impact test results of the weld metal and heat affected zone (HAZ) met the requirement of classification rule (Min. 34J at $-20^{\circ}C$). In order to evaluate the relationship between the impact toughness property and the grain size of HAZ, the austenite grain size of HAZ was measured. The prior austenite grain size in Fusion line (F.L+0.1 mm) was about $350{\mu}m$. The grain size in F.L+1.5 mm was measured to be less than $30{\mu}m$ and this region was identified as being included in FGHAZ(Fine Grain HAZ). It is seen that as the austenite grain size decreases, the size of GBF, FSP (Ferrite Side Plate) become smaller and the impact toughness of HAZ increases. Therefore, the CGHAZ was considered to be area up to 1.3mm away from the fusion line. Results of TEM replica analysis for a welded joint implied that very small size ($0.8\sim1.2{\mu}m$) oxygen inclusions played a role of forming fine acicular ferrite in the weld metal. A large amount of (Ti, Mn, Al)xOy oxygen inclusions dispersed, and oxides density was measured to be 4,600-5,300 (ea/mm2). During the welding thermal cycle, the area near a fusion line was reheated to temperature exceeding $1400^{\circ}C$. However, the nitrides and carbides were not completely dissolved near the fusion line because of rapid heating and cooling rate. Instead, they might grow during the cooling process. TiC precipitates of about 50 ~ 100nm size dispersed near the fusion line.

Optimization of Multi-Atlas Segmentation with Joint Label Fusion Algorithm for Automatic Segmentation in Prostate MR Imaging

  • Choi, Yoon Ho;Kim, Jae-Hun;Kim, Chan Kyo
    • Investigative Magnetic Resonance Imaging
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    • v.24 no.3
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    • pp.123-131
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    • 2020
  • Purpose: Joint label fusion (JLF) is a popular multi-atlas-based segmentation algorithm, which compensates for dependent errors that may exist between atlases. However, in order to get good segmentation results, it is very important to set the several free parameters of the algorithm to optimal values. In this study, we first investigate the feasibility of a JLF algorithm for prostate segmentation in MR images, and then suggest the optimal set of parameters for the automatic prostate segmentation by validating the results of each parameter combination. Materials and Methods: We acquired T2-weighted prostate MR images from 20 normal heathy volunteers and did a series of cross validations for every set of parameters of JLF. In each case, the atlases were rigidly registered for the target image. Then, we calculated their voting weights for label fusion from each combination of JLF's parameters (rpxy, rpz, rsxy, rsz, β). We evaluated the segmentation performances by five validation metrics of the Prostate MR Image Segmentation challenge. Results: As the number of voxels participating in the voting weight calculation and the number of referenced atlases is increased, the overall segmentation performance is gradually improved. The JLF algorithm showed the best results for dice similarity coefficient, 0.8495 ± 0.0392; relative volume difference, 15.2353 ± 17.2350; absolute relative volume difference, 18.8710 ± 13.1546; 95% Hausdorff distance, 7.2366 ± 1.8502; and average boundary distance, 2.2107 ± 0.4972; in parameters of rpxy = 10, rpz = 1, rsxy = 3, rsz = 1, and β = 3. Conclusion: The evaluated results showed the feasibility of the JLF algorithm for automatic segmentation of prostate MRI. This empirical analysis of segmentation results by label fusion allows for the appropriate setting of parameters.

The Works of John Galliano in Haute Couture - With a Focus on C. Dior in 20005 - (Haute Couture에 나타난 John Galliano의 작품세계 -2000년대 C. Dior 중심으로-)

  • Bang, Soo-Ran
    • Journal of the Korean Society of Costume
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    • v.59 no.5
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    • pp.19-40
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    • 2009
  • The purpose of this study is to grasp the world of Galliano works who lead Dior Couture and to make use of this knowledge to comprehension of general trend in Haute Couture and $pr{\hat{e}}t-{\acute{a}}$-porter in the future. The method of research is to search for the characteristic of Haute Couture and the general tendency of Galliano works, and to view the inclination of Dior Couture by Galliano. For sphere of research, 2000s is discussed with focus on Haute Couture, exclusive of ready-to-wear. As a result, Galliano's Couture works were distinguished into four specificities. First, the historicity including historical event, personage and epoch. Second, the orientalism. Third, the pictorial characteristic including synthetic art and public art. Forth, the quality of humor. These subjects bring about a result that break down each boundary, in the method of interpreting, as try out mixing between every elements. Galliano pursue a new domain through the fusion of East and West, past and present, classic and pop, artistry and commercialism, this induce more familiar Haute Couture to the public, breaking the strict form of Couture. It seems that this tendency will be advanced toward extrovert Couture producing the low-age phenomenon in Couture, the mixture of multi-culture and the vitality. This fusion suggest the popularity and the commerciality of Couture, which is predicted decrease the difference between Couture and $pr{\hat{e}}t-{\acute{a}}$-porter.