• 제목/요약/키워드: auto-coding

검색결과 27건 처리시간 0.023초

Auto-Coding of Cancer Registry Data in China

  • Wei, Kuang Rong;Liu, Sheng Chao;Wei, Dongling;Liang, Zhiheng;Chen, Wanqing
    • Asian Pacific Journal of Cancer Prevention
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    • 제17권6호
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    • pp.3021-3023
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    • 2016
  • The significance, difficulty and strategy of coding cancer data according to international coding standards are discussed, and the concept, methods and realization of cancer data automatic coding in cancer registries in China are introduced in the paper. Coding cancer data automatically with software could not only reduce the time, manpower and workload, while improving the accuracy and efficiency of cancer data coding, but also enhance the validity of cancer registration and the value of cancer registry data, which is of great significance.

Cross Layer를 이용한 Hybrid ARQ System 분석 (Analysis of Hybrid ARQ System Using Cross Layer)

  • 박태두;김민혁;김철승;정지원
    • 한국전자파학회논문지
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    • 제21권11호
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    • pp.1229-1234
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    • 2010
  • 차세대 이동 통신에서는 고품질, 고속 통신의 멀티미디어 서비스를 요구한다. 이러한 서비스를 만족시키기 위해서는 강력한 오류 정정 기법이 사용된다. ARQ(Auto Repeat Request) 기법은 전송 효율적인 측면, 그리고 FEC(Forward Error Correction) 기법은 높은 신뢰도면에서 취약한 단점을 가지고 있다. 이러한 단점을 서로 보완한 H-ARQ(Hybrid Auto Repeat Request) 시스템이 현재 연구 중에 있다. 따라서 본 논문에서는 cross layer를 이용한 H-ARQ 시스템을 분석하였다. Cross layer coding 기법과 H-ARQ type, 채널 환경에 따라 적합한 H-ARQ 방식을 BER 성능과 전송 효율 분석을 통해 제안한다.

Auto-Covariance Analysis for Depth Map Coding

  • Liu, Lei;Zhao, Yao;Lin, Chunyu;Bai, Huihui
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제8권9호
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    • pp.3146-3158
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    • 2014
  • Efficient depth map coding is very crucial to the multi-view plus depth (MVD) format of 3-D video representation, as the quality of the synthesized virtual views highly depends on the accuracy of the depth map. Depth map contains smooth area within an object but distinct boundary, and these boundary areas affect the visual quality of synthesized views significantly. In this paper, we characterize the depth map by an auto-covariance analysis to show the locally anisotropic features of depth map. According to the characterization analysis, we propose an efficient depth map coding scheme, in which the directional discrete cosine transforms (DDCT) is adopted to substitute the conventional 2-D DCT to preserve the boundary information and thereby increase the quality of synthesized view. Experimental results show that the proposed scheme achieves better performance than that of conventional DCT with respect to the bitrate savings and rendering quality.

실수코딩 유전자알고리즘을 이용한 고정번지식 ATC 프레임의 토폴로지 최적화에 관한 연구 (A Study on the Topology Optimization of the fixed Address Type ATC frame Using a Real Number Coding Genetic Algorithm)

  • 허영진;임상헌;이춘만
    • 한국정밀공학회지
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    • 제21권9호
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    • pp.174-181
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    • 2004
  • Recently, many studies have been undergoing to reduce working time in field of machine tool. There are two ways of reducing working time to reduce actual working time by heighten spindle speed and to reduce stand-by time by shortening tool exchange time. Auto tool changer belongs to latter case. Fixed address type auto tool changer can store more number of tools in small space than magazine transfer Ope and can shorten tool exchange time. This study focuses on the topology optimization to reduce the weight of the fixed address type ATC. The optimization program using a real number coding genetic algorithm is developed and is applied to the 10-bar truss optimization problem to verify the developed program. And, it is shown that the developed program gives better results than other methods. Finally, The developed program applied to optimize the fixed address type ATC.

Convolutional auto-encoder based multiple description coding network

  • Meng, Lili;Li, Hongfei;Zhang, Jia;Tan, Yanyan;Ren, Yuwei;Zhang, Huaxiang
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제14권4호
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    • pp.1689-1703
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    • 2020
  • When data is transmitted over an unreliable channel, the error of the data packet may result in serious degradation. The multiple description coding (MDC) can solve this problem and save transmission costs. In this paper, we propose a deep multiple description coding network (MDCN) to realize efficient image compression. Firstly, our network framework is based on convolutional auto-encoder (CAE), which include multiple description encoder network (MDEN) and multiple description decoder network (MDDN). Secondly, in order to obtain high-quality reconstructed images at low bit rates, the encoding network and decoding network are integrated into an end-to-end compression framework. Thirdly, the multiple description decoder network includes side decoder network and central decoder network. When the decoder receives only one of the two multiple description code streams, side decoder network is used to obtain side reconstructed image of acceptable quality. When two descriptions are received, the high quality reconstructed image is obtained. In addition, instead of quantization with additive uniform noise, and SSIM loss and distance loss combine to train multiple description encoder networks to ensure that they can share structural information. Experimental results show that the proposed framework performs better than traditional multiple description coding methods.

딕셔너리 러닝을 이용한 음파 신호 분류기 설계 (Acoustic Signal Classifier Design using Dictionary Learning)

  • 박성민;사성진;오광명;이희승
    • 자동차안전학회지
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    • 제8권1호
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    • pp.19-25
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    • 2016
  • As new car technology is developing, temporal interaction is needed in automotive. Rhythmic pattern is one of the practical examples of temporal interaction in vehicle. To recognize rhythmic pattern and its input medium, dictionary learning is applicable algorithm. In this paper, performance and memory requirement of the learning algorithm is tested and is sufficiently good for use this acoustic sound.

FUNDAMENTAL PERFORMANCE OF IMAGE CODING SCHEMES BASED ON MULTIPULSE MODEL

  • Kashiwagi, Takashi;Kobayashi, Daisuke;Koda, Hiromu
    • 한국방송∙미디어공학회:학술대회논문집
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    • 한국방송공학회 2009년도 IWAIT
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    • pp.825-829
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    • 2009
  • In this paper, we examine the fundamental performance of image coding schemes based on multipulse model. First, we introduce several kinds of pulse search methods (i.e., correlation method, pulse overlap search method and pulse amplitude optimization method) for the model. These pulse search methods are derived from auto-correlation function of impulse responses and cross-correlation function between host signals and impulse responses. Next, we explain the basic procedure of multipulse image coding scheme, which uses the above pulse search methods in order to encode the high frequency component of an original image. Finally, by means of computer simulation for some test images, we examine the PSNR(Peak Signal-to-Noise Ratio) and computational complexity of these methods.

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선형예측부호화 스펙트럼을 이용한 유발이음청 방재파의 잠시측정 (Mesurement of Evoked Otoacoustic Emission Latency Using Linear Prediction Coding Spectrum)

  • 안정일;최진영;이건일
    • 대한의용생체공학회:의공학회지
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    • 제12권3호
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    • pp.185-190
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    • 1991
  • An automatized latency calculation method of an e-OAE(evoked otacoustic emission) is proposed. The e-OAE signal measured from a normal adult is averaged 1000 times to remove noises. This averaged signal is converted to digital signal and that is processed by IBM-AT computer for latency calculation. we separate the stimulated and the emitted signal on the time domain by a modified LPC (linear prediction coding) spectrum, and the latency is calculated by cross-correlation method. By proposed latency calculation method the latency is 7.9[ms] for normal adult. The performance of the proposed method is also compared with that of the auto-correlation and cross performance of the proposed method is also compared with that of the auto-correlation and cross-correlation method. The result show that the proposed method has same precision with the conventional methods and can automatically calculate latency without subjective observation.

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Side Information Extrapolation Using Motion-aligned Auto Regressive Model for Compressed Sensing based Wyner-Ziv Codec

  • Li, Ran;Gan, Zongliang;Cui, Ziguan;Wu, Minghu;Zhu, Xiuchang
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제7권2호
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    • pp.366-385
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    • 2013
  • In this paper, we propose a compressed sensing (CS) based Wyner-Ziv (WZ) codec using motion-aligned auto regressive model (MAAR) based side information (SI) extrapolation to improve the compression performance of low-delay distributed video coding (DVC). In the CS based WZ codec, the WZ frame is divided into small blocks and CS measurements of each block are acquired at the encoder, and a specific CS reconstruction algorithm is proposed to correct errors in the SI using CS measurements at the decoder. In order to generate high quality SI, a MAAR model is introduced to improve the inaccurate motion field in auto regressive (AR) model, and the Tikhonov regularization on MAAR coefficients and overlapped block based interpolation are performed to reduce block effects and errors from over-fitting. Simulation experiments show that our proposed CS based WZ codec associated with MAAR based SI generation achieves better results compared to other SI extrapolation methods.

6G URLLC를 지향한 교차 상관 관계 중첩 코딩을 사용하는 비직교 다중 접속의 향상된 총 전송률에 관한 연구 (A Study on Improved Sum Rate of Cross-Correlated SC NOMA toward 6G URLLC)

  • 정규혁
    • 융합정보논문지
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    • 제11권9호
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    • pp.1-7
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    • 2021
  • 최근 비직교 다중 접속에 대해, 단지 자체 상관 중첩 코딩 기법만 고찰되었기 때문에, 본 논문은 비직교 다중 접속에 대한 교차 상관 관계 중첩 코딩 기법을 제한한다. 먼저, 제안된 교차 상관 관계 중첩 코딩 기법의 총 전송률의 폐쇄형 수식을 유도한다. 다음 수치 해석을 기반으로 하여, 제안된 교차 상관 관계 중첩 코딩 기법의 총 전송률이 기존의 자체 상관 관계 중첩 코딩 기법의 총 전송률보다 향상된 것을 입증한다. 또한, 강 채널 사용자에 대해, 기존의 자체 상관 관계 중첩 코딩 기법과 비교하여, 제안된 교차 상관 관계 중첩 코딩 기법의 SNR 이득이 대략 15 임을 보여준다. 결론적으로, 제안된 교차 상관 관계 중첩 코딩 기법은 6G URLLC를 위한 유망한 기술로 고려될 수 있다.