• Title/Summary/Keyword: 큐브

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Volume Data Modeling by Using Wavelets Transformation and Tetrahedrization (웨이브렛 변환과 사면체 분할을 이용한 볼륨 데이터 모델링)

  • Gwun, Ou-Bong;Lee, Kun
    • The Transactions of the Korea Information Processing Society
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    • v.6 no.4
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    • pp.1081-1089
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    • 1999
  • Volume data modeling is concerned with finding a mathematical function which represents the relationship implied by the 3D data. Modeling a volume data geometrically can visualize a volume data using surface graphics without voxelization. It has many merits in that it is fast and requires little memory. We proposes, a method based on wavelet transformation and tetrahedrization. we implement a prototype system based on the proposed method. Last, we evaluated the proposed method comparing it with marching cube algorithm. the evaluation results show that though the proposed method uses only 13% of the volume data, the images generated is as good as the images generated by the marching cubes algorithm.

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An Efficient Technique to Improve Compression for Low-Power Scan Test Data (저전력 테스트 데이터 압축 개선을 위한 효과적인 기법)

  • Song, Jae-Hoon;Kim, Doo-Young;Kim, Ki-Tae;Park, Sung-Ju
    • Journal of the Institute of Electronics Engineers of Korea SD
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    • v.43 no.10 s.352
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    • pp.104-110
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    • 2006
  • The huge test data volume, test time and power consumption are major problems in system-on-a-chip testing. To tackle those problems, we propose a new test data compression technique. Initially, don't-cares in a pre-computed test cube set are assigned to reduce the test power consumption, and then, the fully specified low-power test data is transformed to improve compression efficiency by neighboring bit-wise exclusive-or (NB-XOR) scheme. Finally, the transformed test set is compressed to reduce both the test equipment storage requirements and test application time.

Hypercube Diagnosis Algorithm for Large Number of Faults (다중의 결함을 갖는 하이퍼큐브 진단 알고리즘)

  • Rhee, Chung-Sei
    • Convergence Security Journal
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    • v.9 no.2
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    • pp.1-6
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    • 2009
  • Most diagnosis algorithms have been done using the characteristic of t-diagnosable system based on PMC model. But as parallel systems grow fast, more faulty units occur in the system. Previous researches are done on the assumption of small number of faulty units in the system. There have been little studies on the system where number of faulty units exceed t. In this study, we assume the number of faulty units exceed t and there exist small number of nodes where the correctness of diagnosis can't be decided, then we propose an algorithm which increase the maximum number of faulty units in diagnosis system.

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Durability Prediction for Concrete Structures Exposed to Carbonation Using a Bayesian Approach (베이지안 기법을 이용한 중성화에 노출된 콘크리트 구조물의 내구성 예측)

  • Jung, Hyun-Jun;Kim, Gyu-Seon;Ju, Min-Kwan;Lee, Sang-Cheol
    • Proceedings of the Korea Concrete Institute Conference
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    • 2009.05a
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    • pp.275-276
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    • 2009
  • This paper provides a new approach for predicting the corrosion resistivity of reinforced concrete structures exposed to carbonation. In this method, the prediction can be updated successively by a Bayesian theory when additional data are available. The stochastic properties of model parameters are explicitly taken into account into the model. To simplify the procedure of the model, the probability of the durability limit is determined from the samples obtained from the Latin hypercube sampling technique. The new method may be very useful in designing important concrete structures and help to predict the remaining service life of existing concrete structures which have been monitored.

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A New Algorithm for Boolean Function Minimization (부울함수의 간소화를 위한 새 방법)

  • 이우이
    • Journal of the Korean Institute of Telematics and Electronics
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    • v.21 no.4
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    • pp.43-51
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    • 1984
  • In the case of Quine Mccluskey's methode for Boolean function minimization, we have to examine each bits of binary represented minterms. In this paper, cube relations between misterms that are represented by means of decimal number, and all sorts of rules for Boolean function minimization are described as theorems, and they are verified. And based on these theorems, the new fast algorithm for Boolean function minimization is proposed. An example of manual operation is sholvn, and the process is writed out by a FORTRAN program. In this program, the essential pl.imp implicants of the Boolean function that has 100 each of minterms including redundant minterms, are finked and printed out, (the more minterms can be treated if we take the more larger size of arrays) and the outputs are coincided with the results of manual operation.

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Mask Modeling of a 3D Non-planar Parent Material for Micro-abrasive Jet Machining (미세입자 분사가공을 위한 3 차원 임의형상 모재용 마스크 모델링)

  • Kim, Ho-Chan;Lee, In-Hwan;Ko, Tae-Jo
    • Journal of the Korean Society for Precision Engineering
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    • v.27 no.8
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    • pp.91-97
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    • 2010
  • Micro-abrasive Jet Machining is one of the new technology which enables micro-scale machining on the surface of high brittle materials. In this technology it is very important to fabricate a mask that prevents excessive abrasives not to machine un-intend surface. Our previous work introduced the micro-stereolithography technology for the mask fabrication. And is good to not only planar material but also for non-planar materials. But the technology requires a 3 dimensional mask CAD model which is perfectly matched with the surface topology of parent material as an input. Therefore there is strong need to develop an automated modeling technology which produce adequate 3D mask CAD model in fast and simple way. This paper introduces a fast and simple mask modeling algorithm which represents geometry of models in voxel. Input of the modeling system is 2D pattern image, 3D CAD model of parent material and machining parameters for Micro-abrasive Jet Machining. And the output is CAD model of 3D mask which reflects machining parameters and geometry of the parent material. Finally the suggested algorithm is implemented as software and verified by some test cases.

Development of Rendering Techniques for Particle-based Flow Simulation (입자 기반 유동 시뮬레이션의 렌더링 기술 개발)

  • Lee, Byung-Hyuk;Park, Jong-Chun;Jang, Young-Su;Kim, Sang-Hyun
    • Journal of Ocean Engineering and Technology
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    • v.23 no.1
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    • pp.38-42
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    • 2009
  • Recently, various particle based simulation techniques, which solve the Navier Stokes and continuity equations, have been developed and applied to complicated engineering problems. However, although progress is being made on their visualization or rendering techniques, these are still insufficient. In this study, to render a smooth configuration for a free surface, a rendering technique was developed that included the generation of density fields from the location information for simulated particles and the creation model for a polygonal surface. The developed rendering technique was applied to the visualization of a dynamic free surface flow interacting with a structure using a particle based simulation technique.

Remote Control Interaction for Individual Environment of Smart TV (개별 사용자 환경을 위한 스마트TV 리모트컨트롤 인터랙션 방식 제안)

  • Shin, Yoo-Kyung;Choe, Jong-Hoon
    • The Journal of the Korea Contents Association
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    • v.11 no.11
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    • pp.70-78
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    • 2011
  • Today cases of using individual service on community TV are increasing with the advent of smart TV. The traditional way for using individual service like e-mail or SNS on TV is not simple and puts in too much time because it has to type so many text using remote control that is unsuitable for typing. In this paper, interaction using cube remote control is proposed in order to facilitate individual service on TV. It is simple interaction like shaking and tapping instead of a complex interaction method. In addition, it is believed that the proposed simple interaction using cube interaction might be one of great alternatives for using individual service on smart TV.

Optimization of a Cooling Channel with Staggered Elliptical Dimples Using Neural Network Techniques (신경회로망기법을 사용한 타원형 딤플유로의 냉각성능 최적화)

  • Kim, Hyun-Min;Moon, Mi-Ae;Kim, Kwang-Yong
    • The KSFM Journal of Fluid Machinery
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    • v.13 no.6
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    • pp.42-50
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    • 2010
  • The present analysis deals with a numerical procedure for optimizing the shape of elliptical dimples in a cooling channel. The three-dimensional Reynolds-averaged Navier-Stokes (RANS) analysis is employed in conjunction with the SST model for predictions of the turbulent flow and the heat transfer. Three non-dimensional geometric design variables, such as the ellipse dimple diameter ratio, ratio of the dimple depth to the average diameter, and ratio of the distance between dimples to the pitch are considered in the optimization. Twenty-one experimental points within design space are selected by Latin Hypercube Sampling. Each objective function values at these points are evaluated by RANS analysis and producing optimal point using surrogate model. The linear combination of heat transfer coefficient and friction loss related terms with a weighting factor is defined as the objective function. The results show that the optimized elliptical dimple shape improves considerably the heat transfer performance than the circular dimple shape.

Stress and Deformation Analysis of a Tool Holder Spindle using $iSight^{(R)}$ ($iSight^{(R)}$를 이용한 툴 홀더 스핀들의 변형 및 응력해석)

  • Kwon, Koo-Hong;Chung, Won-Jee
    • Journal of the Korean Society for Precision Engineering
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    • v.27 no.9
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    • pp.103-110
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    • 2010
  • This paper presents the optimized approximation of finite element modeling for a complex tool holder spindle using both DOE (Design of Experiment) with Optimal Latin Hypercube (OLH) method and approximation modeling method with Radial Basis Function (RBF) neural network structure. The complex tool holder is used for holding a (milling/drilling) tool of a machine tool. The engineering problem of complex tool holder results from the twisting of spindle of tool holder. For this purpose, we present the optimized approximation of finite element modeling for a complex tool holder spindle using both DOE (Design of Experiment) with Optimal Latin Hypercube (OLH) method (specifically a module of $iSight^{(R)}$ FD-3.1) and approximation modeling method with Radial Basis Function (RBF) (another module of $iSight^{(R)}$ FD-3.1) neural network structure