• Title/Summary/Keyword: Correlated error

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Performance Analysis of Space-Time Codes in Realistic Propagation Environments: A Moment Generating Function-Based Approach

  • Lamahewa Tharaka A.;Simon Marvin K.;Kennedy Rodney A.;Abhayapala Thushara D.
    • Journal of Communications and Networks
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    • v.7 no.4
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    • pp.450-461
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    • 2005
  • In this paper, we derive analytical expressions for the exact pairwise error probability (PEP) of a space-time coded system operating over spatially correlated fast (constant over the duration of a symbol) and slow (constant over the length of a code word) fad­ing channels using a moment-generating function-based approach. We discuss two analytical techniques that can be used to evaluate the exact-PEPs (and therefore, approximate the average bit error probability (BEP)) in closed form. These analytical expressions are more realistic than previously published PEP expressions as they fully account for antenna spacing, antenna geometries (uniform linear array, uniform grid array, uniform circular array, etc.) and scattering models (uniform, Gaussian, Laplacian, Von-mises, etc.). Inclusion of spatial information in these expressions provides valuable insights into the physical factors determining the performance of a space-time code. Using these new PEP expressions, we investigate the effect of antenna spacing, antenna geometries and azimuth power distribution parameters (angle of arrival/departure and angular spread) on the performance of a four-state QPSK space-time trellis code proposed by Tarokh et al. for two transmit antennas.

Reconstruction of HR by POCS and Regularized Block Matching (정규화된 블록매칭과 POCS에 의한 HR 영상 재구성)

  • Choi Jong-Beom;Oh Tae-Seok;Kim Yong Cheo
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.30 no.8C
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    • pp.824-831
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    • 2005
  • In the reconstruction of high resolution (HR) images from low resolution (LR) images frames, the error in the estimated motion degrades the reliability of the reconstructed HR image. Some methods were recently proposed where motion estimation and HR reconstruction is performed simultaneously. The estimated motion is still prone to error when it is based on a simple block matching. In this paper, we propose a reconstruction of a HR image by applying POCS and a regularized block matching simultaneously. In this method, a motion vector is obtained from a regularized block matching algorithm since the motion of a pixel in an image is highly correlated with the motion in neighboring regions. Experimental results show that the improved accuracy of the estimated motion vectors results in higher PSNR of the reconstructed HR images.

Comparison of 3-D structures of Halo CMEs using cone models

  • Na, Hyeon-Ock;Moon, Y.J.;Jang, Soo-Jeong;Lee, Kyoung-Sun
    • The Bulletin of The Korean Astronomical Society
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    • v.37 no.1
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    • pp.95.1-95.1
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    • 2012
  • Halo coronal mass ejections (HCMEs) are major cause of geomagnetic storms and their three dimensional structures are important for space weather. In this study, we compare three cone models: an elliptical cone model, an ice-cream cone model, and an asymmetric cone model. These models allow us to determine the three dimensional parameters of HCMEs such as radial speed, angular width, and the angle (${\gamma}$) between sky plane and cone axis. We compare these parameters obtained from three models using 62 well-observed HCMEs from 2001 to 2002. Then we obtain the root mean square error (RMS error) between maximum measured projection speeds and their calculated projection speeds from the cone models. As a result, we find that the radial speeds obtained from the models are well correlated with one another (R > 0.84). The correlation coefficients between angular widths are less than 0.53 and those between ${\gamma}$ values are less than 0.47, which are much smaller than expected. The reason may be due to different assumptions and methods. The RMS errors of the elliptical cone model, the ice-cream cone model, and the asymmetric cone model are 213 km/s, 254 km/s, and 267 km/s, respectively. Finally, we discuss their strengths and weaknesses in terms of space weather application.

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Impaired Response Inhibition in Patients with Obsessive-Compulsive Disorder (강박장애 환자의 반응억제 결함)

  • Boo, Young Jun;Kim, Se Joo;Kang, Jee In
    • Anxiety and mood
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    • v.11 no.1
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    • pp.33-37
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    • 2015
  • Objective : Impaired response inhibition has been suggested to play an important role in the pathophysiology of obsessive-compulsive disorder (OCD). The aim of this study was to evaluate the response inhibition in patients with OCD, by using the Go/NoGo paradigm, and to better understand its associations with clinical symptoms. Methods : The participants included 63 OCD patients and 80 healthy volunteers matched in age and sex. response inhibition was evaluated using computerized Go/NoGo task, in which their commission error rates, omission error rates, and mean response times were measured. The severity of clinical symptoms in the OCD patients was assessed using Montgomery-Asberg Depression Scale and Yale-Brown Obsessive Compulsive Scale. Result : OCD patients showed significantly impaired inhibition and higher omission errors rates despite their slower response time, compared to normal controls. Clinical symptoms were not correlated with commission errors and omission errors. Conclusion : The present results indicate that impairment in response inhibition may play a critical role in the pathophysiology of OCD as a trait. These findings suggest that deficit of response inhibition may contribute to developing and maintaining clinical symptoms such as compelling need to repeat certain actions in patients with OCD.

Nonlinear Echo Cancellation using a Correlation LMS Adaptation Scheme (상관(Correlation) LMS 적응 기법을 이용한 비선형 반향신호 제거에 관한 연구)

  • Park, Hong-Won;An, Gyu-Yeong;Song, Jin-Yeong;Nam, Sang-Won
    • Proceedings of the KIEE Conference
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    • 2003.11c
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    • pp.882-885
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    • 2003
  • In this paper, nonlinear echo cancellation using a correlation LMS (CLMS) algorithm is proposed to cancel the undesired nonlinear echo signals generated in the hybrid system of the telephone network. In the telephone network, the echo signals may result the degradation of the network performance. Furthermore, digital to analog converter (DAC) and analog to digital converter (ADC) may be the source of the nonlinear distortion in the hybrid system. The adaptive filtering technique based on the nonlinear Volterra filter has been the general technique to cancel such a nonlinear echo signals in the telephone network. But in the presence of the double-talk situation, the error signal for tap adaptations will be greatly larger, and the near-end signal can cause any fluctuation of tap coefficients, and they may diverge greatly. To solve a such problem, the correlation LMS (CLMS) algorithm can be applied as the nonlinear adaptive echo cancellation algorithm. The CLMS algorithm utilizes the fact that the far-end signal is not correlated with a near-end signal. Accordingly, the residual error for the tap adaptation is relatively small, when compared to that of the conventional normalized LMS algorithm. To demonstrate the performance of the proposed algorithm, the DAC of hybrid system of the telephone network is considered. The simulation results show that the proposed algorithm can cancel the nonlinear echo signals effectively and show robustness under the double-talk situations.

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Voice Activity Detection Based on Discriminative Weight Training with Feedback (궤환구조를 가지는 변별적 가중치 학습에 기반한 음성검출기)

  • Kang, Sang-Ick;Chang, Joon-Hyuk
    • The Journal of the Acoustical Society of Korea
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    • v.27 no.8
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    • pp.443-449
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    • 2008
  • One of the key issues in practical speech processing is to achieve robust Voice Activity Deteciton (VAD) against the background noise. Most of the statistical model-based approaches have tried to employ equally weighted likelihood ratios (LRs), which, however, deviates from the real observation. Furthermore voice activities in the adjacent frames have strong correlation. In other words, the current frame is highly correlated with previous frame. In this paper, we propose the effective VAD approach based on a minimum classification error (MCE) method which is different from the previous works in that different weights are assigned to both the likelihood ratio on the current frame and the decision statistics of the previous frame.

Mental Health and Medical Error among Nursing Staffs at Korean Medicine Clinics: a first survey in South Korea

  • Soo-Hyun Nam;Chan-Young Kwon
    • Journal of Pharmacopuncture
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    • v.27 no.3
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    • pp.253-263
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    • 2024
  • Objectives: Nurses face mental health issues like emotional labor, stress, and depression, increasing the risk of medical errors. This study assesses the mental health and medical errors among nurses in Korean medicine clinics in South Korea. Methods: The cross-sectional analysis involved 83 nurses, examining relationships between emotional labor, stress, depression, cognitive failure, Hwa-byung (HB) (a syndrome of suppressed anger in Korean culture), and medical errors. It identified factors associated with HB and medical errors using multiple regression analysis, presenting their odds ratios (ORs) with 95% confidence intervals (CIs). Results: The findings revealed a current HB prevalence of 19.28% and a 6-month medical error prevalence of 16.87% among participants. The regression analysis showed that higher levels of depression (OR = 1.368, 95% CI = 1.098 to 1.703, p = 0.005), cognitive failure (OR = 1.072, 95% CI = 1.011 to 1.136, p = 0.020), and HB trait (OR = 1.136, 95% CI = 1.005 to 1.284, p = 0.041) significantly correlated with HB presence. Conclusion: This groundbreaking study on this previously under-researched nurse workforce highlights the critical need for comprehensive mental health care, with the objective of significantly enhancing their mental well-being and improving their overall work environment.

Throughput Performance of Hybrid ARQ Ultra-Wideband Communication System for Wireless Packet Transmission (무선 패킷 전송을 위한 Hybrid ARQ 광대역 통신시스템의 처리율 성능)

  • Roh, Jae-Sung
    • Journal of Advanced Navigation Technology
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    • v.11 no.3
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    • pp.274-280
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    • 2007
  • An ultra-wideband signal is characterized by a radiated spectrum with wide bandwidth around a relatively low center frequency. In this paper, the bit error rate (BER), packet error rate (PER), and data throughput performance for an ultra-wideband system with M-ary correlation receiver are analyze in additive white Gaussian noise (AWGN) and co-channel interference channel. To evaluate the performance of UWB system, a set of UWB communication waveform as pulse position modulated (PPM) signals consisting of more than one UWB pulse is used. The M-ary PPM signals are defined to be equally correlated in order to simplify the system performance analysis. The analysis for system performance shows that the wireless channel error significantly degrades throughput performance and can be effectively increased by hybrid ARQ scheme. Also, an attempt for comparing the data throughput of ultra-wideband system on different performance improvement schemes and parameters has been made. From the performance evaluation process, it is shown that the effects of wireless channel and hybrid ARQ scheme for ultra wideband M-ary PPM system can be evaluated by means of a suitable combination of the PER, throughput vs. signal-to-noise power ratio per bit.

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Multiple Description Video Coding Using Rate-Distortion Optimized DCT Coefficient Splitting (비트율-왜곡 최적화된 DCT 계수 분할을 이용한 다중 표현 동영상 압축 방법)

  • Kim, Il-Koo;Cho, Nam-Ik
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.39 no.6
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    • pp.565-574
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    • 2002
  • We propose an algorithm for the robust transmission of video in error prone environment based on multiple description (MD) scheme and simple rate-distortion operators. The redundancy rate-distortion (RRD) criteria is used to split a one-layer compressed video stream into two correlated descriptions. The proposed algorithm can find more candidate points on the RRD curve than the conventional RRD based methods. A new distortion measure is also defined in this paper, which considers more realistic error environments. Since the proposed MD video coder is based on the standard H.263 coder, each description can be decoded independently by the standard H.263 decoder. Also, several descriptions can be decoded into a single stream by additional merge stage and the H.263 decoder. Simulation results show that the proposed MD video coder yields better performance than the conventional MD splitting algorithm at all bitrates both in single and two description cases.

A New Speech Quality Measure for Speech Database Verification System (음성 인식용 데이터베이스 검증시스템을 위한 새로운 음성 인식 성능 지표)

  • Ji, Seung-eun;Kim, Wooil
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.20 no.3
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    • pp.464-470
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    • 2016
  • This paper presents a speech recognition database verification system using speech measures, and describes a speech measure extraction algorithm which is applied to this system. In our previous study, to produce an effective speech quality measure for the system, we propose a combination of various speech measures which are highly correlated with WER (Word Error Rate). The new combination of various types of speech quality measures in this study is more effective to predict the speech recognition performance compared to each speech measure alone. In this paper, we increase the system independency by employing GMM acoustic score instead of HMM score which is obtained by a secondary speech recognition system. The combination with GMM score shows a slightly lower correlation with WER compared to the combination with HMM score, however it presents a higher relative improvement in correlation with WER, which is calculated compared to the correlation of each speech measure alone.