• Title/Summary/Keyword: Reconstruction error

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Segmentation-based tnage Coding Method without Need for Transmission of Contour Information (윤곽선 정보의 전송이 불필요한 분할기반 영상 부호화 방법)

  • Choi Jae Gark;Kang Hyun-Soo;Koh Chang-Rim;Kwon Oh-Jun;Lee Jong-Keuk
    • Journal of KIISE:Computer Systems and Theory
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    • v.32 no.5
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    • pp.187-195
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    • 2005
  • A new segmentation-based image coding method which no needs transmission of contour data is proposed. The shape information acts as bottleneck in the segmentation-based video coding because it has much portion of transmission data. The proposed method segments a previous decoded frame, instead of a current frame. As a result, there is no need for transmission of contour information to a decoder. Therefore, the saved bits can be assigned to encode other information such as error signals. As shown in experiment results, if data rate is very highly increased due to abrupt motion under very low bit rate coding having limited transmission bits, PSNR of conventional block-based method go down about 20dB, while the proposed method shows a good reconstruction quality without rapid PSNR drop.

Speech Basis Matrix Using Noise Data and NMF-Based Speech Enhancement Scheme (잡음 데이터를 활용한 음성 기저 행렬과 NMF 기반 음성 향상 기법)

  • Kwon, Kisoo;Kim, Hyung Young;Kim, Nam Soo
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.40 no.4
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    • pp.619-627
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    • 2015
  • This paper presents a speech enhancement method using non-negative matrix factorization (NMF). In the training phase, each basis matrix of source signal is obtained from a proper database, and these basis matrices are utilized for the source separation. In this case, the performance of speech enhancement relies heavily on the basis matrix. The proposed method for which speech basis matrix is made a high reconstruction error for noise signal shows a better performance than the standard NMF which basis matrix is trained independently. For comparison, we propose another method, and evaluate one of previous method. In the experiment result, the performance is evaluated by perceptual evaluation speech quality and signal to distortion ratio, and the proposed method outperformed the other methods.

A Study for Reconstruction of Chuncheon Animation Industry (춘천 애니메이션 산업부흥을 위한 연구)

  • Park Ki-Bog
    • The Journal of the Korea Contents Association
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    • v.5 no.6
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    • pp.209-222
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    • 2005
  • This study is intended to arrange the situation of Chuncheon Animation Industry which is applied as a keyword for Regional balanced development system and Regional specialized Industry promotion policy and estimate the appropriateness as Regional specialized industry and possibility of comparative superiority over other regions. This study is intended to look the trial and error of Chuncheon Animation Industry which has been promoted for 10 years and suggest the method to establish new regional industry promotion strategy based on 'innovation' and apply it effectively. Therefore, I intend that in order to establish a new paradigm of animation industry, the industrial appropriateness of animation in changed New Knowledge Based Society is inspected and then the strategy is made. Moreover, in the point of leading position of regional animation, the basis and function of New Knowledge Based Society of Gangwon-province and Chuncheon are thought. In conclusion, the problems and solution of Chuncheon Animation Industry are explored.

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ECG signal compression based on B-spline approximation (B-spline 근사화 기반의 심전도 신호 압축)

  • Ryu, Chun-Ha;Kim, Tae-Hun;Lee, Byung-Gook;Choi, Byung-Jae;Park, Kil-Houm
    • Journal of the Korean Institute of Intelligent Systems
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    • v.21 no.5
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    • pp.653-659
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    • 2011
  • In general, electrocardiogram(ECG) signals are sampled with a frequency over 200Hz and stored for a long time. It is required to compress data efficiently for storing and transmitting them. In this paper, a method for compression of ECG data is proposed, using by Non Uniform B-spline approximation, which has been widely used to approximation theory of applied mathematics and geometric modeling. ECG signals are compressed and reconstructed using B-spline basis function which curve has local controllability and control a shape and curve in part. The proposed method selected additional knot with each step for minimizing reconstruction error and reduced time complexity. It is established that the proposed method using B-spline approximation has good compression ratio and reconstruct besides preserving all feature point of ECG signals, through the experimental results from MIT-BIH Arrhythmia database.

Motor Imagery based Brain-Computer Interface for Cerebellar Ataxia (소뇌 운동실조 이상 환자를 위한 운동상상 기반의 뇌-컴퓨터 인터페이스)

  • Choi, Young-Seok;Shin, Hyun-Chool;Ying, Sarah H.;Newman, Geoffrey I.;Thakor, Nitish
    • Journal of the Korean Institute of Intelligent Systems
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    • v.24 no.6
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    • pp.609-614
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    • 2014
  • Cerebellar ataxia is a steadily progressive neurodegenerative disease associated with loss of motor control, leaving patients unable to walk, talk, or perform activities of daily living. Direct motor instruction in cerebella ataxia patients has limited effectiveness, presumably because an inappropriate closed-loop cerebellar response to the inevitable observed error confounds motor learning mechanisms. Recent studies have validated the age-old technique of employing motor imagery training (mental rehearsal of a movement) to boost motor performance in athletes, much as a champion downhill skier visualizes the course prior to embarking on a run. Could the use of EEG based BCI provide advanced biofeedback to improve motor imagery and provide a "backdoor" to improving motor performance in ataxia patients? In order to determine the feasibility of using EEG-based BCI control in this population, we compare the ability to modulate mu-band power (8-12 Hz) by performing a cued motor imagery task in an ataxia patient and healthy control.

Classification and Generator Polynomial Estimation Method for BCH Codes (BCH 부호 식별 및 생성 파라미터 추정 기법)

  • Lee, Hyun;Park, Cheol-Sun;Lee, Jae-Hwan;Song, Young-Joon
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.38A no.2
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    • pp.156-163
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    • 2013
  • The use of an error-correcting code is essential in communication systems where the channel is noisy. When channel coding parameters are unknown at a receiver side, decoding becomes difficult. To perform decoding without the channel coding information, we should estimate the parameters. In this paper, we introduce a method to reconstruct the generator polynomial of BCH(Bose-Chaudhuri-Hocquenghem) codes based on the idea that the generator polynomial is compose of minimal polynomials and BCH code is cyclic code. We present a probability compensation method to improve the reconstruction performance. This is based on the concept that a random data pattern can also be divisible by a minimal polynomial of the generator polynomial. And we confirm the performance improvement through an intensive computer simulation.

A Study on the Data Compression of the Voice Signal using Multi Wavelet (다중 웨이브렛을 이용한 음성신호 데이터 압축에 관한 연구)

  • Kim, Tae-Hyung;Park, Jae-Woo;Yoon, Dong-Han;Noh, Seok-Ho;Cho, Ig-Hyun
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • v.9 no.1
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    • pp.625-629
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    • 2005
  • According to the rapid development of the information and communication technology, the demand on the efficient compression technology for the multimedia data is increased magnificently. In this Paper, we designed new compression algorithm structure using wavelet base for the compression of ECG signal and audible signal data. We examined the efficiency of the compression between 2-band structure and wavelet packet structure, and investigated the efficiency and reconstruction error by wavelet base function using Daubechies wavelet coefficient and Coiflet coefficient for each structure. Finally, data were compressed further more using Huffman code, and resultant Compression Rate(CR) and Percent Root Mean Square difference(PRD) were compared with those of existent DCT.

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A Study on Characteristics of A Diode Radiation Sensor for Portal Image of Therapy Radiation (치료방사선 Portal Image를 위한 다이오드 방사선 센서의 특성에 관한 연구)

  • Lee, Dong-Hun;Kwon, Jang-Woo;Hong, Seung-Hong
    • Journal of Sensor Science and Technology
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    • v.5 no.5
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    • pp.11-20
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    • 1996
  • In this paper, the characteristics of therapy radiation diode sensors have been studied by using therapy radiation from the MM22 microtron accelerator. The linearity, reproducibility and error ratio were measured for feasibility as a radiation detector. Energy dependence, sensitivity change after a amount of irradiation and output value according to a number of diodes were also measured for same purpose. We have formed pulse shaping of diode signal with nuclear instruments for portal image reconstruction. The percent depth dose ratio according to field size and depth was compared with that of the detector of a ion chamber. Using thirteen silicon diodes, we can directly read diode outputs on a computer monitor after A/D conversion with 16 channels analog to digital conversion board with 12 bit resolution. The possibility for portal image with diodes has been suggested from output comparison between output value with a human phantom and that without a human phantom.

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Wavelet Packet Image Coder Using Coefficients Partitioning For Remote Sensing Images (위성 영상을 위한 계수분할 웨이블릿 패킷 영상 부호화 알고리즘에 관한 연구)

  • 한수영;조성윤
    • Korean Journal of Remote Sensing
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    • v.18 no.6
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    • pp.359-367
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    • 2002
  • In this paper, a new embedded wavelet packet image coder algorithm is proposed for an effective image coder using correlation between partitioned coefficients. This new algorithm presents parent-child relationship for reducing image reconstruction error using relations between individual frequency sub-bands. By parent-child relationship, every coefficient is partitioned and encoded for the zerotree data structure. It is shown that the proposed wavelet packet image coder algorithm achieves low bit rates and rate-distortion. It also demonstrates higher PSNR under the same bit rate and an improvement in image compression time. The perfect rate control is compared with the conventional method. These results show that the encoding and decoding processes of the proposed coder are simpler and more accurate than the conventional ones for texture images that include many mid and high-frequency elements such as aerial and satellite photograph images. The experimental results imply the possibility that the proposed method can be applied to real-time vision system, on-line image processing and image fusion which require smaller file size and better resolution.

An Empirical Study on the Estimation of Housing Sales Price using Spatiotemporal Autoregressive Model (시공간자기회귀(STAR)모형을 이용한 부동산 가격 추정에 관한 연구)

  • Chun, Hae Jung;Park, Heon Soo
    • Korea Real Estate Review
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    • v.24 no.1
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    • pp.7-14
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    • 2014
  • This study, as the temporal and spatial data for the real price apartment in Seoul from January 2006 to June 2013, empirically compared and analyzed the estimation result of apartment price using OLS by hedonic price model for the problem of space-time correlation, temporal autoregressive model (TAR) considering temporal effect, spatial autoregressive model (SAR) spatial effect and spatiotemporal autoregressive model (STAR) spatiotemporal effect. As a result, the adjusted R-square of STAR model was increased by 10% compared that of OLS model while the root mean squares error (RMSE) was decreased by 18%. Considering temporal and spatial effect, it is observed that the estimation of apartment price is more correct than the existing model. As the result of analyzing STAR model, the apartment price is affected as follows; area for apartment(-), years of apartment(-), dummy of low-rise(-), individual heating (-), city gas(-), dummy of reconstruction(+), stairs(+), size of complex(+). The results of other analysis method were the same. When estimating the price of real estate using STAR model, the government officials can improve policy efficiency and make reasonable investment based on the objective information by grasping trend of real estate market accurately.