• Title/Summary/Keyword: 이산량

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Shape Design Sensitivity Analysis of Dynamic Crack Propagation Problems using Peridynamics and Parallel Computation (페리다이나믹스 이론과 병렬연산을 이용한 균열진전 문제의 형상 설계민감도 해석)

  • Kim, Jae-Hyun;Cho, Seonho
    • Journal of the Computational Structural Engineering Institute of Korea
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    • v.27 no.4
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    • pp.297-303
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    • 2014
  • Using the bond-based peridynamics and the parallel computation with binary decomposition, an adjoint shape design sensitivity analysis(DSA) method is developed for the dynamic crack propagation problems. The peridynamics includes the successive branching of cracks and employs the explicit scheme of time integration. The adjoint variable method is generally not suitable for path-dependent problems but employed since the path of response analysis is readily available. The accuracy of analytical design sensitivity is verified by comparing it with the finite difference one. The finite difference method is susceptible to the amount of design perturbations and could result in inaccurate design sensitivity for highly nonlinear peridynamics problems with respect to the design. It turns out that $C^1$-continuous volume fraction is necessary for the accurate evaluation of shape design sensitivity in peridynamic discretization.

Online Multi-Object Tracking by Learning Discriminative Appearance with Fourier Transform and Partial Least Square Analysis

  • Lee, Seong-Ho;Bae, Seung-Hwan
    • Journal of the Korea Society of Computer and Information
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    • v.25 no.2
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    • pp.49-58
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    • 2020
  • In this study, we solve an online multi-object problem which finds object states (i.e. locations and sizes) while conserving their identifications in online-provided images and detections. We handle this problem based on a tracking-by-detection approach by linking (or associating) detections between frames. For more accurate online association, we propose novel online appearance learning with discrete fourier transform and partial least square analysis (PLS). We first transform each object image into a Fourier image in order to extract meaningful features on a frequency domain. We then learn PLS subspaces which can discriminate frequency features of different objects. In addition, we incorporate the proposed appearance learning into the recent confidence-based association method, and extensively compare our methods with the state-of-the-art methods on MOT benchmark challenge datasets.

Design of Effective Intrusion Detection System for Wireless Local Area Network (무선랜을 위한 효율적인 침입탐지시스템 설계)

  • Woo, Sung-Hee
    • Journal of the Korea Society of Computer and Information
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    • v.13 no.2
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    • pp.185-191
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    • 2008
  • Most threats of WLAN are easily caused by attackers who access to the radio link between STA and AP, which involves some Problems to intercept network communications or inject additional messages into them. In comparison with wired LAN, severity of wireless LAN against threats is bigger than the other networks. To make up for the vulnerability of wireless LAN, it needs to use the Intrusion Detection System using a powerful intrusion detection method as SVM. However, due to classification based on calculating values after having expressed input data in vector space by SVM, continuous data type can not be used as any input data. In this paper, therefore, we design the IDS system for WLAN by tuning with SVM and data-mining mechanism to defend the vulnerability on certain WLAN and then we demonstrate the superiority of our method.

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Efficient Modulation for the Last Symbol in OFDM Systems (OFDM 시스템의 마지막 심볼을 위한 효율적인 변조 방식)

  • Yu, Heejung
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.22 no.3
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    • pp.513-519
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    • 2018
  • OFDM modulation has been used for a transmission scheme in 4G LTE (Long Term Evolution) and Wi-Fi systems to mitigate the effects of frequency selective fading channels. An OFDM modulation is a block transmission scheme because an OFDM symbol consists of multiple subcarriers with narrow bandwidth. Therefore, all OFDM symbols in a frame should be filled out with data and padding bits. Depending on the amount of data, more padding bits than information bits can occupy the last OFDM symbol. Such inefficiency causes the loss of throughput. To overcome this problem, an efficiency padding method is proposed by using the property of DFT (Discrete Fourier Transform). In the proposed method, symbol duration of the last symbol is changed depending on the number used data subcarriers in the last symbol. With numerical evaluation, it is examined that throughput enhancement achieved by the proposed method can be about 20% depending a transmission scheme and data length.

An Efficient Knowledge Base Management Using Hybrid SOM (하이브리드 SOM을 이용한 효율적인 지식 베이스 관리)

  • Yoon, Kyung-Bae;Choi, Jun-Hyeog;Wang, Chang-Jong
    • The KIPS Transactions:PartB
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    • v.9B no.5
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    • pp.635-642
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    • 2002
  • There is a rapidly growing demand for the intellectualization of information technology. Especially, in the area of KDD (Knowledge Discovery in Database) which should make an optimal decision of finding knowledge from a large amount of data, the demand is enormous. A large volume of Knowledge Base should be efficiently managed for a more intellectual choice. This study is proposing a Hybrid SOM for an efficient search and renewal of knowledge base, which combines a self-study nerve network, Self-Organization Map with a probable distribution theory in order to get knowledge needed for decision-making management from the Knowledge Base. The efficient knowledge base management through this proposed method is carried out by a stimulation test. This test confirmed that the proposed Hybrid SOM can manage with efficiency Knowledge Base.

Current Status of Ilmenite Beneficiation Technology for Production of TiO2 (TiO2 제조를 위한 일메나이트 처리기술 현황)

  • Sohn, Ho-Sang;Jung, Jae-Young
    • Resources Recycling
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    • v.25 no.5
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    • pp.64-74
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    • 2016
  • Titanium and iron are closely related in nature, although titanium is the ninth most abundant element in the Earth's crust. Iron in titanium ores must be removed for use as feedstocks in the manufacture of titanium dioxide pigments and pure $TiCl_4$ for metal titanium. In this study, various beneficiation processes of ilmenite for production of $TiO_2$ have been reviewed and compared. Most of these processes involve a combination of pyrometallurgy and hydrometallurgy. These beneficiation processes of ilmenite generate considerable quantities of wastes primarily in the form of iron salt, iron oxide and acidic effluents. Therefore, it is important that recovery of acid value from waste and conversion of iron bearing waste to useful materials for development of new beneficiation processes of ilmenite.

Correction of Rotated Frames in Video Sequences Using Modified Mojette Transform (변형된 모젯 변환을 이용한 동영상에서의 회전 프레임 보정)

  • Kim, Ji-Hong
    • Journal of Korea Multimedia Society
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    • v.16 no.1
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    • pp.42-49
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    • 2013
  • The camera motion is accompanied with the translation and/or the rotation of objects in frames of a video sequence. An unnecessary rotation of objects declines the quality of the moving pictures and in addition is a primary cause of the viewers' fatigue. In this paper, a novel method for correcting rotated frames in video sequences is presented, where the modified Mojette transform is applied to the motion-compensated area in each frame. The Mojette transform is one of discrete Radon transforms, and is modified for correcting the rotated frames as follows. First, the bin values in the Mojette transform are determined by using pixels on the projection line and the interpolation of pixels adjacent to the line. Second, the bin values are calculated only at some area determined by the motion estimation between current and reference frames. Finally, only one bin at each projection is computed for reducing the amount of the calculation in the Mojette transform. Through the simulation carried out on various test video sequences, it is shown that the proposed scheme has good performance for correcting the rotation of frames in moving pictures.

Performance Analysis of Flow Control Method Using Virtual Switchs on ATM (ATM에서 가상 스위치를 이용한 흐름 제어 방식의 성능 분석)

  • 조미령;양성현;이상훈
    • Journal of the Korea Computer Industry Society
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    • v.3 no.1
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    • pp.85-94
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    • 2002
  • EMRCA(Explicit Max_min Rate Control Algorithm) switch, which has been proposed in the ATM(Asychronous Transfer Mode) standard, controls the ABR(Available Bit Rate) service traffic in the ATM networks. The ABR service class of ATM networks uses a feedback control mechanism to adapt to varying link capacities. The VS/VD(Virtual Source/Virtual Destination) technique offers the possibility to segment the otherwise end-to-end ABR control loop into separate loops. The improved feedback delay and the control of ABR traffic inside closed segments provide a better performance and QoS(Quality of Service) for ABR connections with respect to throughput, delay, and jitter. This paper is study of an ABR VS/VD flow control method. Linear control theory offers the means to derive correct choices of parameters and to assess performance issues, like stability of the system, during the design phase. The performance goals are a high link utilization, fair bandwidth distribution and robust operation in various environments, which are verified by discrete event simulations. The major contribution of this work is the use of linear control theory to model and design an ABR flow control method tailored for the special layout of a VS/VD switch, the simulation shows that this techniques better than conventional method.

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MRBR-based JPEG2000 Codec for Stereoscopic Image Compression of 3-Dimensional Digital Cinema (3차원 디지털 시네마의 스테레오 영상 압축을 위한 MRBR기반의 JPEG2000 코덱)

  • Seo, Young-Ho;Sin, Wan-Soo;Choi, Hyun-Jun;Yoo, Ji-Sang;Kim, Dong-Wook
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.12 no.12
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    • pp.2146-2152
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    • 2008
  • In In this paper, we proposed a new JPEG2000 codec using multiresolution-based rendering (MRBR) technique for video compression of 3-dimensional digital cinema. We introduced discrete wavelet transform (DWT) for stereoscopic image and stereo matching technique in the wavelet domain. The disparity was extracted using stereo matching and transmitted with the reference (left) image. Since the generated right image was degraded by the occlusion lesion, the residual image which is generated from difference between the original right image and the generated one was transmitted at the same tine. The disparity data was extracted using the dynamic programming method in the disparity domain. There is high correlation between the higher and lower subbands. Therefore we decreased the calculation amount and enhanced accuracy by restricting the search window and applying the disparity information generated from higher subband.

Development of GPU-accelerated kinematic wave model using CUDA fortran (CUDA fortran을 이용한 GPU 가속 운동파모형 개발)

  • Kim, Boram;Park, Seonryang;Kim, Dae-Hong
    • Journal of Korea Water Resources Association
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    • v.52 no.11
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    • pp.887-894
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    • 2019
  • We proposed a GPU (Grapic Processing Unit) accelerated kinematic wave model for rainfall runoff simulation and tested the accuracy and speed up performance of the proposed model. The governing equations are the kinematic wave equation for surface flow and the Green-Ampt model for infiltration. The kinematic wave equations were discretized using a finite volume method and CUDA fortran was used to implement the rainfall runoff model. Several numerical tests were conducted. The computed results of the GPU accelerated kinematic wave model were compared with several measured and other numerical results and reasonable agreements were observed from the comparisons. The speed up performance of the GPU accelerated model increased as the number of grids increased, achieving a maximum speed up of approximately 450 times compared to a CPU (Central Processing Unit) version, at least for the tested computing resources.