• Title/Summary/Keyword: 왜곡 오류

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A Study on the Use of RDW Data in Virtual Environment (가상환경에서 방향전환보행 데이터 활용 연구)

  • Lim, Yangmi
    • Journal of Broadcast Engineering
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    • v.27 no.5
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    • pp.629-637
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    • 2022
  • This study is an experiment on the use of RDW(Redirected Walking) technology, which helps users to hardly feel the difference of user movement in the limited physical space and the extended virtual space when the user moves while wearing the HMD in the real world. The RDW function installed in 3D space realization software such as Unity3D is used to induce the user's redirection by slightly distorting the virtual space according to the user's point of view. However, if the RDW distortion rate is used excessively, dissonance is highly likely to occur. In particular, it is easy to make errors that cause cybersickness of users. It is important to obtain the RDW data value in the virtual environment so that the user does not feel fatigue and cybersickness even after wearing the HMD for a long time. In this experiment, it was tested whether the user's RDW was safely implemented, and item and obstacle arrangement data were obtained through this experiment. The RDW data obtained as a result of the experiment were used for item placement and obstacle placement in the virtual space.

Time-lapse inversion of resistivity tomography monitoring data around a tunnel (터널 주변 전기비저항 토모그래피 모니터링 자료의 시간경과 역산)

  • Cho, In-Ky;Jeong, Jae-Hyeung;Bae, Gyu-Jin
    • Journal of Korean Tunnelling and Underground Space Association
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    • v.11 no.4
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    • pp.361-371
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    • 2009
  • Resistivity tomography is very effective geophysical method to find out the resistivity distribution and its change in time around a tunnel. Thus, the resistivity tomogram can provide helpful information which is necessary for the effective maintenance of the tunnel. However, an air filled tunnel severely distorts tomography data, especially when the current or potential electrode is placed near the tunnel. Moreover, the distortion can often lead to misinterpretation of tomography monitoring data. To solve these problem, we developed a resistivity modeling and time-lapse inversion program which include a tunnel. In this study, using the developed program we assured that the inversion including a tunnel gives much more accurate image around a tunnel, compared with the conventional tomogram where the tunnel is not included. We also confirmed that the time-lapse inversion of resistivity monitoring data defines well resistivity changed areas around a tunnel in time.

Quadratic Sigmoid Neural Equalizer (이차 시그모이드 신경망 등화기)

  • Choi, Soo-Yong;Ong, Sung-Hwan;You, Cheol-Woo;Hong, Dae-Sik
    • Journal of the Korean Institute of Telematics and Electronics S
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    • v.36S no.1
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    • pp.123-132
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    • 1999
  • In this paper, a quadratic sigmoid neural equalizer(QSNE) is proposed to improve the performance of conventional neural equalizer in terms of bit error probability by using a quadratic sigmoid function as the activation function of neural networks. Conventional neural equalizers which have been used to compensate for nonlinear distortions adopt the sigmoid function. In the case of sigmoid neural equalizer, each neuron has one linear decision boundary. So many neurons are required when the neural equalizer has to separate complicated structure. But in case of the proposed QSNF and quadratic sigmoid neural decision feedback equalizer(QSNDFE), each neuron separates decision region with two parallel lines. Therefore, QSNE and QSNDFE have better performance and simpler structure than the conventional neural equalizers in terms of bit error probability. When the proposed QSNDFE is applied to communication systems and digital magnetic recording systems, it is an improvement of approximately 1.5dB~8.3dB in signal to moise ratio(SNR) over the conventional decision feedback equalizer(DEF) and neural decision feedback equalizer(NDFE). As intersymbol interference(ISI) and nonlinear distortions become severer, QSNDFE shows astounding SNR shows astounding SNR performance gain over the conventional equalizers in the same bit error probability.

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Sea Trial Results of the Direct Sequence Spread Spectrum Underwater Acoustic Communication in the East Sea (동해에서 직접 수열 대역확산 수중음향통신 기법의 해상실험 결과)

  • Han, Jeong-Woo;Kim, Ki-Man;Yun, Yeong-Jung;Mun, Hyeon-Uk;Chun, Seung-Yong;Son, Kweon
    • The Journal of the Acoustical Society of Korea
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    • v.31 no.7
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    • pp.441-448
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    • 2012
  • Spread spectrum provides the minimized inter-symbol interference, the low probability of intercept and the multiple access capability. This paper presents a direct sequence spread spectrum with carrier/timing recovery and equalizer which compensates the delay spread caused by multipath transmission. When the sea trials were performed in Korean East Sea, the bit error rates of QPSK and direct sequence spread spectrum are $1.46{\times}10^{-2}$ and $5.17{\times}10^{-4}$ at 3 km source-receiver range, respectively.

Performance Analysis of LDPC code with Channel Estimation in Underwater Communication (수중통신 채널에서 채널 추정 오차에 따른 LDPC 부호 성능분석)

  • Kim, Nam-Soo;Jung, Ji-Won;Kim, Ki-Man;Seo, Dong-Hoan
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.13 no.11
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    • pp.2295-2303
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    • 2009
  • Underwater acoustic(UWA) communication has multipath error because of reflection by sea-level and sea-bottom. The multipath of UWA channel causes signal distortion and error floor. In this paper, we proposed the compensation method of multipath effect using the impulse response of the UWA channel and then analysis the performance of channel coding such as LDPC code, concatenate code. Also we analysed the time-delay errors and estimated amplitude errors of estimated channel information and its affection on the performance. As shown in simulation results, the performance of proposed compensation method is better than the performance of conventional method.

Filter Size Determination Algorithms for Decision-Directed Channel Estimators in Wideband CDMA Mobile Communication Systems (광대역 CDMA이동통신 시스템의 결정지향 채널추정기를 위한 필터크기 결정 방법)

  • Rim, Min-Joong;Ryu, Chul;Ahn, Jae-Min
    • Journal of the Institute of Electronics Engineers of Korea TC
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    • v.40 no.5
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    • pp.171-180
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    • 2003
  • CDMA(Code Division Multiple Access) mobile communication systems require accurate channel estimation in the receiver to compensate the fading distortions. Instantaneous channel estimates are obtained by dividing the received symbol by the transmitted symbol and then refined by filtering to reduce the estimation variance. In the channel estimation filter, the determination of the filter size is a very important task which greatly affects the estimation quality. While conventional methods usually use only velocity estimators to determine the channel estimation filter size, this paper proposes a filter size determination method for decision-directed channel estimators considering the symbol error rate and the signal-to-noise ratio in addition to the velocity of the mobile station. This paper shows that the symbol error rate and the signal-to-noise ratio are important factors for the determination of the channel estimation filter size.

Novel Defog Algorithm via Evaluation of Local Color Saturation (국부영역 색포화 평가 방법을 통한 안개제거 알고리즘)

  • Park, Hyungjo;Park, Dubok;Ko, Hanseok
    • Journal of the Institute of Electronics and Information Engineers
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    • v.51 no.3
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    • pp.119-128
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    • 2014
  • This paper presents a new method for improving the quality of images corrupted by an external source that generates an attenuation and scattering of light like dust, water droplets and fog. Conventional defog methods typically encounter a distortion such that the restored image has low contrast and oversaturation of color in some regions because of the mis-estimated airlight and wrong media transmission. Therefore, in order to mitigate these problems, we propose a robust airlight selection method and local saturation evaluation method for estimating media transmission. The proposed method addresses the wrong media transmission and over-saturation problems caused by the mis-estimated airlight and thereby improves the restored image quality. The results of relevant experiments of the proposed method against conventional ones confirm the improved accuracy of atmospheric light estimation and the quality of restored images with regard to objective and subjective performance measures.

Channel Estimation for Block-Based Distributed Video Coding (블록 기반의 분산 비디오 코딩을 위한 채널 예측 기법)

  • Min, Kyung-Yeon;Park, Sea-Nae;Yoo, Sung-Eun;Sim, Dong-Gyu;Jeon, Byeung-Woo
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.48 no.2
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    • pp.53-64
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    • 2011
  • In this paper, we propose a channel estimation of side information method based received motion vectors for distributed video coding. The proposed decoder estimates motion vectors of side information and transmits it to the encoder. As the proposed encoder generates side information which is the same to one in the decoder with received motion vectors, accuracy of side information of the decoder is assessed and it is transmitted to decoder. The proposed decoder can also estimate accurate crossover probability with received error information. As the proposed method conducts correct belief propagation, computational complexity of the channel decoder decreases and error correction capability is significantly improved with the smaller amount of parity bits. Experimental results show that the proposed algorithm is better in rate-distortion performance and it is faster than several conventional distributed video coding methods.

Effective Demosaicking Algorithm for CFA Images using Directional Interpolation and Nonlocal Means Filtering (방향성 기반 보간법과 비지역 평균 필터링에 의한 효과적인 CFA 영상 디모자이킹 알고리즘)

  • Kim, Jongho
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.18 no.10
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    • pp.110-116
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    • 2017
  • This paper presents an effective demosaicking algorithm for color filter array (CFA) images acquired from single-sensor devices based on directional interpolation and nonlocal properties of the image. We interpolate the G channel considering diagonal directions as well as horizontal and vertical directions, using a small number of pixels to reflect local properties of the image. Then, we overcome image degradations, such as zipper effects near edges and false colors, by applying nonlocal means (NLM) filtering to the interpolated pixels. R and B channels are reproduced by using directional interpolation with information of the reconstructed G channel and NLM filtering. Experimental results for various McMaster images with high saturation and color changes show that the proposed algorithm accomplishes high PSNR compared with conventional methods. Moreover, the proposed method demonstrates better subjective quality compared with existing methods in terms of reduction of quality degradation, like false colors, and preservation of the image structures, such as edges and textures.

A Fast Multiresolution Motion Estimation Algorithm in the Adaptive Wavelet Transform Domain (적응적 웨이브렛 영역에서의 고속의 다해상도 움직임 예측방법)

  • 신종홍;김상준;지인호
    • Journal of Broadcast Engineering
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    • v.7 no.1
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    • pp.55-65
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    • 2002
  • Wavelet transform has recently emerged as a promising technique for video processing applications due to its flexibility in representing non-stationary video signals. Motion estimation which uses wavelet transform of octave band division method is applied In many places but if motion estimation error happens in the lowest frequency band. motion estimation error is accumulated by next time strep and there has the Problem that time and the data amount that are cost In calculation at each steps are increased. On the other hand. wavelet packet that achieved the best image quality in a given bit rate from a rate-distortion sense is suggested. But, this method has the disadvantage of time costs on designing wavelet packet. In order to solve this problem we solved this problem by introducing Top_down method. But we did not find the optimum solution in a given butt rate. That image variance can represent image complexity is considered in this paper. In this paper. we propose a fast multiresolution motion estimation scheme based on the adaptive wavelet transform for video compression.