• Title/Summary/Keyword: 선형중첩

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An Accelerated IK Solver for Deformation of 3D Models with Triangular Meshes (삼각형 메쉬로 이루어진 3D 모델의 변형을 위한 IK 계산 가속화)

  • Park, Hyunah;Kang, Daeun;Kwon, Taesoo
    • Journal of the Korea Computer Graphics Society
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    • v.27 no.5
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    • pp.1-11
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    • 2021
  • The purpose of our research is to efficiently deform a 3D models which is composed of a triangular mesh and a skeleton. We designed a novel inverse kinematics (IK) solver that calculates the updated positions of mesh vertices with fewer computing operations. Through our user interface, one or more markers are selected on the surface of the model and their target positions are set, then the system updates the positions of surface vertices to construct a deformed model. The IK solving process for updating vertex positions includes many computations for obtaining transformations of the markers, their affecting joints, and their parent joints. Many of these computations are often redundant. We precompute those redundant terms in advance so that the 3-nested loop computation structure was improved to a 2-nested loop structure, and thus the computation time for a deformation is greatly reduced. This novel IK solver can be adopted for efficient performance in various research fields, such as handling 3D models implemented by LBS method, or object tracking without any markers.

Performance Comparison of Acoustic Equalizers using Adaptive Algorithms in Shallow Water Condition (천해환경에서 적응 알고리즘을 이용한 음향 등화기의 성능 비교)

  • Chuai, Ming;Park, Kyu-Chil
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.22 no.2
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    • pp.253-260
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    • 2018
  • The acoustic communication channel in shallow underwater is typically shown as time-varying multipath fading channel characteristics. The received signal through channel transmission cause inter-symbol interference (ISI) owing to multiple components of different time delay and amplitude. To compensate for this, several techniques have been used, and one of them is acoustic equalizer. In this study, we used four equalizers - feed forward equalizer (FFE), decision directed equalizer (DDE), decision feedback equalizer (DFE) and combination DDE with DFE to compensate ISI. And we applied two adaptive algorithms to adjust coefficient of equalizers - normalized least mean square algorithm and recursive least square algorithm. As result, we found that it has a significant performance improvement over 6 dB on SNR in nonlinear equalizer. By combination of DFE and DDE has almost best performance in any case.

Analysis of Phase Noise in Frequency Synthesizer with DDS Driven PLL Architecture (DDS Driven PLL 구조 주파수 합성기의 위상 잡음 분석)

  • Kwon, Kun-Sup;Lee, Sung-Jae
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
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    • v.19 no.11
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    • pp.1272-1280
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    • 2008
  • In this paper, we have proposed a phase noise model of fast frequency hopping synthesizer with DDS Driven PLL architecture. To accurately model the phase noise contribution of noise sources in frequency hopping synthesizer, they were investigated using model of digital divider for PLL, DAC for DDS and Leeson's model for reference oscillator and VCO. Especially it was proposed that the noise component of low pass filter was considered together with the phase noise of VCO. Under assuming linear operation of a phase locked loop, the phase noise transfer functions from noise sources to the output of synthesizer was analyzed by superposition theory. The proposed phase noise prediction model was evaluated and its results were compared with measured data.

Applications of high resolution satellite image in road alignment design (도로의 최적노선 선정시 고해상도 위성영상의 활용 방안)

  • 박병욱;최윤수;안기원;강의성
    • Spatial Information Research
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    • v.10 no.3
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    • pp.469-480
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    • 2002
  • Nowadays, digital maps of 1:5,000 scale are used to plan and review far road alignment design. However, the updating and modifying period of digital maps is not so harmonious as topographical changes caused by rapid developments can be reflected in digital maps, the different areas between real surface and digital map can be found easily. This research is aimed to suggest that the use of high resolution satellite image is effective way to get latest topographical information for road alignment design about wide region. IKONOS satellite images were geometrically corrected, and the road alignment data previously designed by traditional procedure were overlapped on the satellite images. As a result, the satellite image maps clearly described wrong road alignment, and modification of road alignment could be accomplished adequately By these procedures, road alignment design was Improved in quality, and could be reasonable and economic design to prevent modification that would be happened in the next step of practical plan. For the geometric correction method of IKONOS images, Thin Plate Spline(TPS) transformation with large number of ground control points, as well as ortho rectification, was effective.

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Dual Wavelength Erbium-doped Fiber Laser with Lasing Wavelength Switchability and Tunability (파장 가변 및 스위칭이 가능한 쌍파장 어븀 첨가 광섬유 레이저)

  • Park, Sang-Oh;Shim, Young-Bo;Yoon, Min-Seok;Chu, Su-Ho;Kim, Hyun-Joo;Kwon, Oh-Jang;Han, Young-Geun
    • Korean Journal of Optics and Photonics
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    • v.21 no.5
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    • pp.181-184
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    • 2010
  • A simple technique for a flexibly tunable and switchable dual wavelength-switchable erbium-doped fiber (EDF) laser using fiber Bragg gratings is proposed and demonstrated by using both linear cavity loss controlling and homogeneous gain broadening of the EDF. The oscillating wavelength switching is successfully realized by using the modulation of the acousto-optic modulator driven by the RF signal. The wavelength spacing and lasing wavelength of the proposed wavelength-switchable laser can also be controlled by using the bending-induced tension or compression strain. The proposed tunable dual wavelength-switchable fiber laser has a lot of advantages, such as a high extinction ratio larger than 40dB and a high tunability of ~7.2 nm/$m^{-1}$.

A Protein Sequence Prediction Method by Mining Sequence Data (서열 데이타마이닝을 통한 단백질 서열 예측기법)

  • Cho, Sun-I;Lee, Do-Heon;Cho, Kwang-Hwi;Won, Yong-Gwan;Kim, Byoung-Ki
    • The KIPS Transactions:PartD
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    • v.10D no.2
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    • pp.261-266
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    • 2003
  • A protein, which is a linear polymer of amino acids, is one of the most important bio-molecules composing biological structures and regulating bio-chemical reactions. Since the characteristics and functions of proteins are determined by their amino acid sequences in principle, protein sequence determination is the starting point of protein function study. This paper proposes a protein sequence prediction method based on data mining techniques, which can overcome the limitation of previous bio-chemical sequencing methods. After applying multiple proteases to acquire overlapped protein fragments, we can identify candidate fragment sequences by comparing fragment mass values with peptide databases. We propose a method to construct multi-partite graph and search maximal paths to determine the protein sequence by assembling proper candidate sequences. In addition, experimental results based on the SWISS-PROT database showing the validity of the proposed method is presented.

Applying The Concurrent Development Approach To Unified Process (동시개발 방법을 적용한 단일화된 프로세스)

  • Choi, Myeong-Bok;Lee, Sang-Un
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.12 no.4
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    • pp.119-130
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    • 2012
  • Recently, the software system is getting complicating and the customers are requiring faster development. For the traditional sequential approach can't against this problem iterative approach is used instead. For the representative iterative approach, there is RUP (Rational's Unified Process). However, RUP standard practical methods are phase, iteration, and disciplines, sequentially. As a result, there's some waste of manpower when a discipline is executed in an iteration, it has to wait till the next same discipline is executed. There are linear approach, sequential approach, overlapped iteration approach, and time-boxed iteration for the efficient execution of RUP. However, they have some problems such as waste of manpower or difficulty in the project management. This paper suggests a method about how to execute the disciplines as a concurrent type. The concurrent approach prevents the waste of manpower and solves the difficulty of project management.

Hyperspectral Image Fusion for Tumor Detection (초분광 영상 융합을 이용한 종양인식)

  • Xu Cheng-Zhe;Kim In-Taek
    • Journal of the Institute of Electronics Engineers of Korea SC
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    • v.43 no.4 s.310
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    • pp.11-20
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    • 2006
  • This paper presents a method for detecting tumors on chicken carcasses by fusion of hyperspectral fluorescence and reflectance images. Classification of normal skin and tumor is performed by the image obtain 어 from optimal band ratio which minimizes the overlapping area of PDFs for normal skin and tumor. This method yields four feature images, each of them represents the ratio of two intensity values from a pixel. Classification is achieved by applying ISODATA to each pixel from the feature images. For the analysis of reflectance image, band selection method is proposed based on the information quantity, many effective features are acquired for the classification by defining the linear transformation selecting the projection axis, accordingly, accurate interpretation of images is possible in the reflectance image and automatic feature selection method is realized. Feature images from reflectance images are also classified by ISODATA and combined with the result from fluorescence images. Experimental result indicates that improved performance in term of reducing false detection rate is observed.

Construction of 2D Image Mosaics Using Quasi-feature Point (유사 특징점을 이용한 모자이킹 영상의 구성)

  • Kim, Dae-Hyeon;Choe, Jong-Su
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.38 no.4
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    • pp.381-391
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    • 2001
  • This paper presents an efficient approach to build an image mosaics from image sequences. Unlike general panoramic stitching methods, which usually require some geometrical feature points or solve the iterative nonlinear equations, our algorithm can directly recover the 8-parameter planar perspective transforms. We use four quasi-feature points in order to compute the projective transform between two images. This feature is based on the graylevel distribution and defined in the overlap area between two images. Therefore the proposed algorithm can reduce the total amount of the computation. We also present an algorithm lot efficiently matching the correspondence of the extracted feature. The proposed algorithm is applied to various images to estimate its performance and. the simulation results present that our algorithm can find the correct correspondence and build an image mosaics.

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A Feature-based Vehicle Tracking System using Trajectory Matching (궤적 정합을 이용한 특징 기반의 차량 추적 시스템)

  • Jeong, Yeong-Gi;Jo, Tae-Hun;Ho, Yo-Seong
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.38 no.6
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    • pp.648-656
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    • 2001
  • In this paper, we propose a new feature-based vehicle tracking system using trajectory matching for intelligent traffic surveillance. The proposed system consists of three parts: feature extraction, feature tracking, and feature grouping using trajectory matching. For feature extraction and feature tracking, features of vehicles are selected based on the measure of cornerness and are tracked using linear Kalman filtering. We then group features from the same vehicle in the grouping step. We suggest a new grouping algorithm using the spatial information of features and trajectory matching to solve the over-grouping Problems of the feature-based tracking method. Finally, our proposed tracking system demonstrates good performance for typical traffic scenes with partial occlusion and neighboring conditions.

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