• Title/Summary/Keyword: 분해기법

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Multi-view Video Coding with View Scalability (시점 계위성을 고려한 다시점 비디오 부호화 기법)

  • Kim, Jae-Sub;Choi, Mi-Nam;Baek, Yun-Ki;Kim, Dong-Wook;Kim, Hwa-Sung;Yoo, Ji-Sang
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.32 no.8C
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    • pp.703-711
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    • 2007
  • In this paper, we propose a multi-view coding(MVC) algorithm with considering view scalability. The proposed algorithm has a high compression efficiency by reducing inter-view redundancy through inter-view decomposition, and adaptively reconstructs a multi-view video from an encoded bit stream. Furthermore, a reference view can be decoded by a traditional H.264/AVC, and the other views are adaptively decoded at the receiver by filtering to support view scalability. Experimental results show that the proposed algorithm performed better than the conventional H.264 codec even though it offers the view scalability.

Quadtree Based Infrared Image Compression in Wavelet Transform Domain (웨이브렛 변환 영역에서 쿼드트리 기반 적외선 영상 압축)

  • 조창호;이상효
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.29 no.3C
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    • pp.387-397
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    • 2004
  • The wavelet transform providing both of the frequency and spatial information of an image is proved to be very much effective for the compression of images, and recently lot of studies on coding algorithms for images decomposed by the wavelet transform together with the multi-resolution theory are going on. This paper proposes a quadtree decomposition method of image compression applied to the images decomposed by wavelet transform by using the correlations between pixels and '0'data grouping. Since the coefficients obtained by the wavelet transform have high correlations between scales and high concentrations, the quadtree method can reduce the data quantity effectively. the experimental infrared image with 256${\times}$256 size and 8〔bit〕, was used to compare the performances of the existing and the proposed compression methods.

Reverberation Characterization and Suppression by Means of Low Rank Approximation (낮은 계수 근사법을 이용한 표준 잔향음 신호 획득 및 제거 기법)

  • 윤관섭;최지웅;나정열
    • The Journal of the Acoustical Society of Korea
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    • v.21 no.5
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    • pp.494-502
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    • 2002
  • In this paper, the Low Rank Approximation (LRA) method to suppress the interference of signals from temporal fluctuations is applied. The reverberation signals and temporally fluctuating signals are separated from the measured data using the Ink. The Singular value decomposition (SVD) method is applied to extract the low rank and the temporally stable reverberation was extracted using the LRA. The reverberation suppression is performed on the LRA residual value obtained by removing the approximate reverberation signals. In overall, the method can be applied to the suppression of reververation in active sonar system as well as to the modeling of reverberation.

Prediction Method for Thermal Destruction of Internal Insulator in Solid Rocket Motor (고체추진기관 연소관단열재의 열파괴 예측기법)

  • Ji-Yeul Bae;In Sik Hwang;Yoongoo Kang
    • Journal of the Korean Society of Propulsion Engineers
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    • v.27 no.1
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    • pp.9-16
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    • 2023
  • This paper investigated the method to predict a thermal response of internal insulation in a solid rocket motor considering both thermal decomposition and ablation. Changes in properties due to the thermal decomposition, swelling of char layer and movement of decomposition gases inside the material were considered during a modeling. And radiative/convective heat flux from the exhaust gas were applied as boundary conditions, while the chemical ablation of the material surface is modeled with algebraic equations. Test SRM with thermocouples was solved for a validation purpose. The results showed that predicted temperatures have identical trends and values compared to the experimental values. And an error of predicted thermal destruction depth was around 0.1 mm.

STL-Attention based Traffic Prediction with Seasonality Embedding (계절성 임베딩을 고려한 STL-Attention 기반 트래픽 예측)

  • Yeom, Sungwoong;Choi, Chulwoong;Kolekar, Shivani Sanjay;Kim, Kyungbaek
    • Proceedings of the Korea Information Processing Society Conference
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    • 2021.11a
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    • pp.95-98
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    • 2021
  • 최근 비정상적인 네트워크 활동 감지 및 네트워크 서비스 프로비저닝과 같은 다양한 분야에서 응용되는 네트워크 트래픽 예측 기술이 네트워크 통신 문제에 의한 트래픽의 결측 및 네트워크 유저의 불규칙한 활동에 의한 비선형 특성 때문에 발생하는 성능 저하를 극복하기 위해 딥러닝 신경망에 대한 연구가 활성화되고 있다. 이 딥러닝 신경망 중 시계열 딥러닝 신경망은 단기 네트워크 트래픽 볼륨을 예측할 때 낮은 오류율을 보인다. 하지만, 시계열 딥러닝 신경망은 기울기 소멸 및 폭발과 같은 비선형성, 다중 계절성 및 장기적 의존성 문제와 같은 한계를 보여준다. 이 논문에서는 계절성 임베딩을 고려한 주의 신경망 기반 트래픽 예측 기법을 제안한다. 제안하는 기법은 STL 분해 기법을 통해 분해된 트래픽 트랜드, 계절성, 잔차를 이용하여 일별 및 주별 계절성을 임베딩하고 이를 주의 신경망을 기반으로 향후 트래픽을 예측한다.

MPM-Based Angular Animation of Particles using Polar Decomposition Theory (극 분해 이론을 활용한 MPM기반의 입자 회전 애니메이션)

  • Song, Chang-yong;Kim, Ki-hoon;Kim, Sun-jeong;Kim, Changhun
    • Journal of the Korea Computer Graphics Society
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    • v.28 no.4
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    • pp.13-22
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    • 2022
  • In this paper, we propose a single framework based on the MPM(Material Point Method) that can represent the dynamic angular motion of the elementary particle unit. In this study, the particles can have various shapes while also describing linear and angular motion. As a result, unlike other particle-based simulations, which only represent linear movements of spherical (e.g. Circle, Sphere) particles, it is possible to express the visually dynamic motion of them. The proposed framework utilizes MPM, due to the fact that rotational motion can be decomposed and derived from large deformation. During the integration process of the presented technique, a deformation gradient tensor is decomposed by polar decomposition theory for extracting rotation tensor. By applying this together with the linear motion of each particle, as a result, it is possible to simultaneously express the angluar and linear motion of the particle itself. To verify the proposed method, we show the simulation of rotating particles scattering in the wind field, and the interaction(e.g. Collision) between a moving object and them by comparing the traditional MPM

Study on Roughage Degradation and Adhesion of Rumen Fibrolytic Bacteria by Real-Time PCR (Real-Time PCR 기법을 이용한 반추위 섬유소분해 박테리아의 부착과 조사료 분해에 관한 연구)

  • Sung, Ha Guyn
    • Journal of The Korean Society of Grassland and Forage Science
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    • v.34 no.1
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    • pp.60-67
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    • 2014
  • The comparisons between cellulolytic bacteria adhesion on rice straw and fiber digestion in time course during rumen fermentation were studied in situ. The adhesions of cellulolytic bacteria, F. succinogenes. R. albus and R. flavefaciens, were measured by RT-PCR. When the rice straws were incubated at 0. 2, 4, 8, 12 and 24 hours of the in situ rumen, straw was degraded with increasing speed during the incubation and showed the highest disappearance increasing rate (DM g/h) from 8 to 12 hour. The adhesions of F. succinogenes, R. flavefaciens and R. albus were achieved above 80% in 1 hour of in situ rumen fermentation and then keep adhesive population up after the time of fermentation. When the in situ samples were collected at 0, 5, 10, 30 and 60 min to detect the early stages of adhesion on the rice straws ingested into rumen, the numberous adhesive colony of F. succinogenes, R. flavefaciens and R. albus were detected in 5 min. In case of rice straw treated with 0, 2, 4 and 8% NaOH, all of three cellulolytic bacteria showed the increasing trends of adhesion with increasing DM disappearance of rice straw by higher concentration of NaOH at 12 hour of in situ. However, there were showed respectively difference at 24 hour. The present results gave certain evidence that adhesion of cellulolytic bacteria is definitely achieved in early stage of roughage ingestion into rumen, their colony develop the stable communities on roughage in process of rumen fermentation and then fiber degradation is accelerated.

An Improved Ordering Method for MIMO Signal Detection Using QR Decomposition and Successive Interference Cancellation (QR 분해 및 순차적 간섭제거 기반의 MIMO 신호검출 기법을 위한 향상된 순서화 방법)

  • Bak, Sang-Hyun;Kim, Jae-Kwon;Yang, Won-Young
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.34 no.10C
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    • pp.1010-1015
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    • 2009
  • In this paper, we propose a novel detection ordering technique for MIMO signal detection methods based on QR decomposition and successive interference cancellation (SIC). Recently, new signal detection methods for spatially multiplexed (SM) MIMO systems were proposed, where all the constellation points are tried as the first layer symbol, and the remaining layer symbols are estimated via SIC, producing candidate vectors. Finally, the ML metric values are calculated for the candidate vectors, that are again used to select the best symbol vector. It was also shown that the ordering method in the conventional V-BLAST is not suitable to these signal detection methods. In this paper, we propose a novel ordering method, and we show via computer simulations that the proposed ordering method improves the error performance.

Analysis of Attacks and Security Level for Multivariate Quadratic Based Signature Scheme Rainbow (다변수 이차식 기반 서명 기법 Rainbow의 공격 기법 및 보안강도 분석)

  • Cho, Seong-Min;Kim, Jane;Seo, Seung-Hyun
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.31 no.3
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    • pp.533-544
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    • 2021
  • Using Shor algorithm, factoring and discrete logarithm problem can be solved effectively. The public key cryptography, such as RSA and ECC, based on factoring and discrete logarithm problem can be broken in polynomial time using Shor algorithm. NIST has been conducting a PQC(Post Quantum Cryptography) standardization process to select quantum-resistant public key cryptography. The multivariate quadratic based signature scheme, which is one of the PQC candidates, is suitable for IoT devices with limited resources due to its short signature and fast sign and verify process. We analyzes classic attacks and quantum attacks for Rainbow which is the only multivatiate quadratic based signature scheme to be finalized up to the round 3. Also we compute the attack complexity for the round 3 Rainbow parameters, and analyzes the security level of Rainbow, one of the PQC standardization candidates.

A Compensation Scheme of Frequency Selective IQ Mismatch for Radar Systems (레이더 시스템을 위한 주파수 선택적 IQ 불일치 보상 기법)

  • Ryu, Yeongbin;Heo, Je;Son, Jaehyun;Choi, Mungak;Oh, Hyukjun
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.25 no.4
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    • pp.565-571
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    • 2021
  • In this paper, a compensation scheme of frequency selective IQ mismatch for high-performance radar systems based on commercial RFIC's is proposed. Besides, an optimization model and its solution based on the dimension reduction scheme using singular value decomposition are also proposed to design the optimal IQ mismatch compensation digital filter with complex coefficients. The performance of the proposed method had been analyzed through experiments using the IQ mismatch measurement and compensation system implemented on an FPGA board with a target RFIC and compared with the previous method. The experiment result showed a performance improvement of the proposed method over the existing one without noticeable increments in complexities. These performance analysis results showed that the limitation of using commercial RFIC's in high-performance radar systems due to the undesirable maximum SNR cap caused by their IQ mismatches could be overcome by employing the proposed method.