• Title/Summary/Keyword: wavelet.

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Determination of Representative Shear Wave Velocity Profile for Rockfill Zone of CFRD Considering Uncertainty Caused by Spatial Variation of Material Property (국내 콘크리트 표면차수벽형 석괴댐(CFRD) 사력존의 전단파 속도 분포 결정(II): 물성치의 공간 변동성에 의한 불확실성이 고려된 CFRD 사력존의 1차원 전단파 속도 주상도의 결정)

  • Hwang, Hea-Jin;Park, Hyung-Choon
    • Journal of the Korean Geotechnical Society
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    • v.30 no.5
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    • pp.17-24
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    • 2014
  • This paper determines 1D shear wave velocity (Vs) distribution of rockfill zone of CFRD using Vs profile determined by the surface wave test. There exists uncertainty in the field test result because of a spatial variation of material property. The harmonic wavelet transform is used to evaluate the uncertainty of test result and generate random 1D Vs distributions which may exist in the rock fill zone. Through the statistical analysis of generated random Vs distributions, the representative 1D Vs distribution considering the uncertainty of test results is proposed for the rockfill zone of CFRD in Korea.

Effective MCTF based on Correlation Improvement of Motion Vector Field (움직임 벡터 필드의 상관도 향상을 통한 효과적인 MCTF 방법)

  • Kim, Jongho
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.18 no.5
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    • pp.1187-1193
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    • 2014
  • This paper presents an effective motion estimation to improve the performance of the motion compensated temporal filtering (MCTF) which is a core part of the wavelet-based scalable video coding. The proposed scheme makes the motion vector field uniform by the modified median operation and the search strategies using adjacent motion vectors, in order to enhance the pixel connectivity which is significantly relevant to the performance of the MCTF. Moreover, the motion estimation with variable block sizes that reflects the features of frames is introduced for further correlation improvement of the motion vector field. Experimental results illustrate that the proposed method reduces the decomposed energy on the temporal high frequency subband frame up to 30.33% in terms of variance compared to the case of the full search with fixed block sizes.

INTERSTELLAR DUST IN M51 FROM IRC IMAGES

  • Egusa, Fumi;Sakon, I.;Onaka, T.;Matsuhara, H.;Arimatsu, K.;Suzuki, T.;Wada, T.;The IRC team, The IRC team
    • Publications of The Korean Astronomical Society
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    • v.27 no.4
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    • pp.253-256
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    • 2012
  • We present the IRC images of M51, a pair of interacting galaxies. Given the high angular resolution (7.4") and the wide field of view (~ 10') covering almost the entire M51 system, we investigate dust properties and their connection to the spiral arm structure. We have applied image-filtering processes including the wavelet analysis to the N3 image, which traces the total stellar mass best among the IRC bands. From this filtered image, the center, arm, and interarm regions are defined. A color, or flux ratio among the MIR bands, has been measured at each pixel (3.7" in size). We find a wide variety of S7/S11 with a difference between arm and interarm regions. We also find that at some positions S11 seems to be higher than predicted by MW dust models. Estimated contributions from the stellar continuum and gas emission lines to the band are not enough to explain this discrepancy. From these results, we deduce that the PAH ionization condition and its fraction to the total dust mass in M51 are different from those in MW.

Object Detection and Tracking using Bayesian Classifier in Surveillance (서베일런스에서 베이지안 분류기를 이용한 객체 검출 및 추적)

  • Kang, Sung-Kwan;Choi, Kyong-Ho;Chung, Kyung-Yong;Lee, Jung-Hyun
    • Journal of Digital Convergence
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    • v.10 no.6
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    • pp.297-302
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    • 2012
  • In this paper, we present a object detection and tracking method based on image context analysis. It is robust from the image variations such as complicated background, dynamic movement of the object. Image context analysis is carried out using the hybrid network of k-means and RBF. The proposed object detection employs context-driven adaptive Bayesian framework to relive the effect due to uneven object images. The proposed method used feature vector generator using 2D Haar wavelet transform and the Bayesian discriminant method in order to enhance the speed of learning. The system took less time to learn, and learning in a wide variety of data showed consistent results. After we developed the proposed method was applied to real-world environment. As a result, in the case of the object to detect pass outside expected area or other changes in the uncertain reaction showed that stable. The experimental results show that the proposed approach can achieve superior performance using various data sets to previously methods.

Digital Watermarking of EZW Coded Image using ZTR symbol (EZW 비트열의 ZTR 심벌을 이용한 디지털 워터마킹)

  • Kim Hyun-Woo;Lee Ho-Keun;Lee Myong-Young;Ha Yeong-Ho
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.42 no.1
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    • pp.43-50
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    • 2005
  • We proposed a method for embedding coded binary data into EZW bitstreams and extracting embedded data from EZW bitstreams using the traditional EZW decoder. EZW coder have two passes. The first pass, the dominant pass have four symbols, P, N, IZ, ZTR. The second pass is sub-ordinary pass which specifies the value of symbol. In the proposed methods, we use ZTR symbol in the dominant pass. We embed watermark into ZTR symbol in the highest frequency band which original image is transferred by wavelet transform. The proposed digital watermarking method shows good properties for robustness in the low bit rate. Accordingly, based on the proposed digital watermarking, video and 3D image watermarking will become a new area for research in the near future.

A Overdrive Technique Architecture for the Frame Memory Reduction based on DWT and Color Conversion (Frame Memory 축소를 위한 DWT와 Color Conversion 기반의 Overdrive 구조)

  • Byeon, Jin-Su;Kim, Hyeon-Seop;Kim, Do-Seok;Jeon, Eun-Seon;Hong, In-Seong;Kim, Bo-Gwan
    • Journal of the Institute of Electronics Engineers of Korea SD
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    • v.46 no.1
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    • pp.85-91
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    • 2009
  • Recently, the LCD has high market share in TV market. The use of motion images in portable devices like DMB, PMP and Cell Phone is growing rapidly. One of the technique of enhancing the LCD's characteristic which is the slow response time. But, the technique requires a lot of memory usage, because of the requirement of frame memory. In this paper, we propose a reduction method for the frame memory that is required for LCD overdrive. Proposed overdrive architecture based on modified DWT-Inverse DWT and Color Conversion. The proposed architecture has a considerable PSNR. At once, it uses 50% of frame memory size and reduces 15% of frame memory size compare with previous architecture. The design was implemented using Xilinx Vertex4 and had 2172 Slice except Memory.

Multi-mode Embedded Compression Algorithm and Architecture for Code-block Memory Size and Bandwidth Reduction in JPEG2000 System (JPEG2000 시스템의 코드블록 메모리 크기 및 대역폭 감소를 위한 Multi-mode Embedded Compression 알고리즘 및 구조)

  • Son, Chang-Hoon;Park, Seong-Mo;Kim, Young-Min
    • Journal of the Institute of Electronics Engineers of Korea SD
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    • v.46 no.8
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    • pp.41-52
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    • 2009
  • In Motion JPEG2000 encoding, huge bandwidth requirement of data memory access is the bottleneck in required system performance. For the alleviation of this bandwidth requirement, a new embedded compression(EC) algorithm with a little bit of image quality drop is devised. For both random accessibility and low latency, very simple and efficient entropy coding algorithm is proposed. We achieved significant memory bandwidth reductions (about 53${\sim}$81%) and reduced code-block memory to about half size through proposed multi-mode algorithms, without requiring any modification in JPEG2000 standard algorithm.

Region-based Image Retrieval Algorithm Using Image Segmentation and Multi-Feature (영상분할과 다중 특징을 이용한 영역기반 영상검색 알고리즘)

  • Noh, Jin-Soo;Rhee, Kang-Hyeon
    • Journal of the Institute of Electronics Engineers of Korea CI
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    • v.46 no.3
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    • pp.57-63
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    • 2009
  • The rapid growth of computer-based image database, necessity of a system that can manage an image information is increasing. This paper presents a region-based image retrieval method using the combination of color(autocorrelogram), texture(CWT moments) and shape(Hu invariant moments) features. As a color feature, a color autocorrelogram is chosen by extracting from the hue and saturation components of a color image(HSV). As a texture, shape and position feature are extracted from the value component. For efficient similarity confutation, the extracted features(color autocorrelogram, Hu invariant moments, and CWT moments) are combined and then precision and recall are measured. Experiment results for Corel and VisTex DBs show that the proposed image retrieval algorithm has 94.8% Precision, 90.7% recall and can successfully apply to image retrieval system.

Fine-scalable SPIHT Hardware Design for Frame Memory Compression in Video Codec

  • Kim, Sunwoong;Jang, Ji Hun;Lee, Hyuk-Jae;Rhee, Chae Eun
    • JSTS:Journal of Semiconductor Technology and Science
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    • v.17 no.3
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    • pp.446-457
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    • 2017
  • In order to reduce the size of frame memory or bus bandwidth, frame memory compression (FMC) recompresses reconstructed or reference frames of video codecs. This paper proposes a novel FMC design based on discrete wavelet transform (DWT) - set partitioning in hierarchical trees (SPIHT), which supports fine-scalable throughput and is area-efficient. In the proposed design, multi-cores with small block sizes are used in parallel instead of a single core with a large block size. In addition, an appropriate pipelining schedule is proposed. Compared to the previous design, the proposed design achieves the processing speed which is closer to the target system speed, and therefore it is more efficient in hardware utilization. In addition, a scheme in which two passes of SPIHT are merged into one pass called merged refinement pass (MRP) is proposed. As the number of shifters decreases and the bit-width of remained shifters is reduced, the size of SPIHT hardware significantly decreases. The proposed FMC encoder and decoder designs achieve the throughputs of 4,448 and 4,000 Mpixels/s, respectively, and their gate counts are 76.5K and 107.8K. When the proposed design is applied to high efficiency video codec (HEVC), it achieves 1.96% lower average BDBR and 0.05 dB higher average BDPSNR than the previous FMC design.

A probabilistic knowledge model for analyzing heart rate variability (심박수변이도 분석을 위한 확률적 지식기반 모형)

  • Son, Chang-Sik;Kang, Won-Seok;Choi, Rock-Hyun;Park, Hyoung-Seob;Han, Seongwook;Kim, Yoon-Nyun
    • Journal of Korea Society of Industrial Information Systems
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    • v.20 no.3
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    • pp.61-69
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    • 2015
  • This study presents a probabilistic knowledge discovery method to interpret heart rate variability (HRV) based on time and frequency domain indexes, extracted using discrete wavelet transform. The knowledge induction algorithm was composed of two phases: rule generation and rule estimation. Firstly, a rule generation converts numerical attributes to intervals using ROC curve analysis and constructs a reduced ruleset by comparing consistency degree between attribute-value pairs with different decision values. Then, we estimated three measures such as rule support, confidence, and coverage to a probabilistic interpretation for each rule. To show the effectiveness of proposed model, we evaluated the statistical discriminant power of five rules (3 for atrial fibrillation, 1 for normal sinus rhythm, and 1 for both atrial fibrillation and normal sinus rhythm) generated using a data (n=58) collected from 1 channel wireless holter electrocardiogram (ECG), i.e., HeartCall$^{(R)}$, U-Heart Inc. The experimental result showed the performance of approximately 0.93 (93%) in terms of accuracy, sensitivity, specificity, and AUC measures, respectively.