• Title/Summary/Keyword: Error ratio

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A Comparison of the Error Rate Performances of Various Digitally Modulated Signals in the Environment of Tone/Multiple Interferer (톤간섭 및 다중간섭하에서 제반 디지탈 변조신호의 오율특성 비교)

  • 공병옥;조성준
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.15 no.10
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    • pp.797-810
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    • 1990
  • The error rate equations of digitally modulated signals transmitted through the Gaussian noise and tone multiple interference channel have been derived. Using the derived equations of error probabilities in the environments of Gaussian noise tone interferer and Gaussian noise multiple interferer, the error rate performances of various digitally modulated signals have been evaluated, and compared in graphs as a function of average carrier to tone interferer power ratio(CIR), average carrier to multiple interferer power ratio(CIT) and the average carrer-to-Gaussian noise powr ratio(CIR). In this paper, the modulation schemes such as amplitude shift keying (ASK), phase shift keying(PSK), frequency shift keying(FSK), minimum shift keying(MSK), quadrature amplitud modulation(QAM) and amplitude phase shift keying(APK) have been selected for the study of performance comparison. The results of comparison show us that, in low bits/sec/Hz, PSK is superior to the other schemes, but in high bits/sec/Hz, mixed multi ary type is better than single multi ary type. And in strong noise evironment, the multiple interferer has much influence than tone interferer, however, in low noise environment. the mojor error factor is tone interferer. But tone interference effect nearly disappears over specified CIR level about 20[dB]. And the modulation schemes using amplitude are heavily influenced by multiple interference.

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Optimal Solution of Classification (Prediction) Problem

  • Mohammad S. Khrisat
    • International Journal of Computer Science & Network Security
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    • v.23 no.9
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    • pp.129-133
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    • 2023
  • Classification or prediction problem is how to solve it using a specific feature to obtain the predicted class. A wheat seeds specifications 4 3 classes of seeds will be used in a prediction process. A multi linear regression will be built, and a prediction error ratio will be calculated. To enhance the prediction ratio an ANN model will be built and trained. The obtained results will be examined to show how to make a prediction tool capable to compute a predicted class number very close to the target class number.

A study on 1 & 2 dimensional minimum mean-squared-error equalization for digital holographic data storage system (디지털 홀로그래픽 데이터 저장 시스템을 위한 1차원 및 2차원 최소 평균-제곱-에러 등화에 관한 연구)

  • 최안식;전영식;정종래;백운식
    • Korean Journal of Optics and Photonics
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    • v.13 no.6
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    • pp.486-492
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    • 2002
  • In this paper. we presented 1 & 2 dimensional minimum mean-squared-error (MMSE) equalization scheme in a digital holographic data storage system to improve bit-error-rate (BER) and to mitigate inter-symbol interference (ISI) which were generated during the data storage and retrieval processes. We showed experimentally for ten data pages retrieved from the holographic storage system that BER and signal-to-noise ratio (SNR) were improved by adopting MMSE equalization.

Estimations of Measurement System Variability and PTR under Non-normal Measurement Error (비정규 측정오차의 경우 측정시스템 변동과 PTR 추정)

  • Chang, Mu-Seong;Kim, Sang-Boo
    • Journal of Korean Society for Quality Management
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    • v.35 no.1
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    • pp.10-19
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    • 2007
  • ANOVA is widely, used for measurement system analysis. It assumes that the measurement error is normally distributed, which nay not be seen in some industrial cases. In this study the estimates of the measurement system variability and PTR (precision-to-tolerance ratio) are obtained by using weighted standard deviation for the case where the measurement error is non-normally distributed. The Standard Bootstrap method is used foy estimating confidence intervals of measurement system variability and PTR. The point and confidence interval estimates for the cases with normally distributed measurement error are compared to those with non-normally distributed measurement errors through computer simulation.

The Correlation of Refractive Error and Ocular Dimensions in Older Age (고령의 연령에서 굴절이상과 안광학 성분들의 연관성 분석)

  • Lim, Byung Kwan;Jeon, Soon-Woo;Jeong, Youn Hong
    • Journal of Korean Ophthalmic Optics Society
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    • v.16 no.3
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    • pp.293-297
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    • 2011
  • Purpose: This study was to know the correlation among refractive error and the dimensions of ocular components on older adults. Methods: The subjects were 95 older age who had no eye diseases. The refractive error, corneal radius, corneal diopter, axial length, anterior chamber depth and lens thickness were measured and analysed. Results: The axial length(AL)/corneal radius(CR) ratio was positively correlated with the corneal diopter, axial length, the anterior chamber depth. Then it was negatively correlated with corneal radius. It was shown that the highest correlation was between the corneal diopter and axial length (r = -0.545, p = 0.000). The spherical equivalent of the refractive error was negatively correlated with the AL/CR ratio. Conclusions: It was shown that the AL/CR ratio was a very important indicator for diagnosing the refractive error of the old age.

Error Correcting Technique with the Use of a Parity Check Bit (패리티 검사비트를 이용한 새로운 오류정정 기술)

  • 현종식;한영열
    • Proceedings of the Korea Society for Industrial Systems Conference
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    • 1997.11a
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    • pp.137-146
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    • 1997
  • The simplest bit error detection scheme is to append a parity bit to the end of a bit sequence. In this paper an error correction technique with the use of a parity bit is proposed, and the performance of the proposed system is analyzed. The error probability of the proposed system is compared with the output of computer simulation of the proposed system. It is also compared with the error probability of error at BPSK system, and the signal-to-noise ratio gain is showed.

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Error Analysis of Equivalence Ratio using Bayesian Statistics (베이지안 확률기법을 이용한 당량비 오차분석에 관한 연구)

  • Ahn, Joongki;Park, Ik Soo;Lee, Ho-il
    • Journal of the Korean Society of Propulsion Engineers
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    • v.22 no.2
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    • pp.131-137
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    • 2018
  • This paper analyzes the probability of failure for the equivalence ratio error. The control error of the equivalence ratio is affected by the aleatory and epistemic uncertainties. In general, reliability analysis techniques are easily incorporated to handle the aleatory uncertainty. However, the epistemic uncertainty requires a new approach, as it does not provide an uncertainty distribution. The Bayesian inference incorporates the reliability analysis results to handle both uncertainties. The result gives a distribution of failure probability, whose equivalence ratio does not meet the requirement. This technique can be useful in the analysis of most engineering systems, where the aleatory and epistemic uncertainties exist simultaneously.

Nuclide composition non-uniformity in used nuclear fuel for considerations in pyroprocessing safeguards

  • Woo, Seung Min;Chirayath, Sunil S.;Fratoni, Massimiliano
    • Nuclear Engineering and Technology
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    • v.50 no.7
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    • pp.1120-1130
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    • 2018
  • An analysis of a pyroprocessing safeguards methodology employing the Pu-to-$^{244}Cm$ ratio is presented. The analysis includes characterization of representative used nuclear fuel assemblies with respect to computed nuclide composition. The nuclide composition data computationally generated is appropriately reformatted to correspond with the material conditions after each step in the head-end stage of pyroprocessing. Uncertainty in the Pu-to-$^{244}Cm$ ratio is evaluated using the Geary-Hinkley transformation method. This is because the Pu-to-$^{244}Cm$ ratio is a Cauchy distribution since it is the ratio of two normally distributed random variables. The calculated uncertainty of the Pu-to-$^{244}Cm$ ratio is propagated through the mass flow stream in the pyroprocessing steps. Finally, the probability of Type-I error for the plutonium Material Unaccounted For (MUF) is evaluated by the hypothesis testing method as a function of the sizes of powder particles and granules, which are dominant parameters to determine the sample size. The results show the probability of Type-I error is occasionally greater than 5%. However, increasing granule sample sizes could surmount the weakness of material accounting because of the non-uniformity of nuclide composition.

Mechanism of Soil Remediation in Contaminated Area Using Vertical Drains (연직배수재(VDs)에 의한 오염지반정화 메커니즘 연구)

  • Lee Haeng Woo;Chang Pyoung Wuck;Kang Byung Yoon;Kim Hyun Tae
    • Journal of The Korean Society of Agricultural Engineers
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    • v.47 no.5
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    • pp.63-71
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    • 2005
  • In-situ soil remediation mechanism through the vertical drains (VDs) is analyzed with numerical model as the error and complementary error function. Results from in-situ test and analysis indicate that the contaminant concentration ratio as initial one ( C/$C_0$) increases as the radius ratio ( r/R) increases from the injection well, and also increases as the depth ratio ( z/ H) increases from the top of contaminated area. The elapse time needed to attain $50\%$ and $90\%$ clean up level ($ t_{50},\;t_{90}$) increases as the radius ratio ( r/R) and the depth ratio ( z/ H) increase. As above results, the procedure of soil flushing in contaminated area using vertical drains makes progress from the top of injection well to the bottom of extraction well.

Location Error Analysis of an Active RFID-Based RTLS in Multipath and AWGN Environments

  • Myong, Seung-Il;Mo, Sang-Hyun;Yang, Hoe-Sung;Cha, Jong-Sub;Lee, Heyung-Sub;Seo, Dong-Sun
    • ETRI Journal
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    • v.33 no.4
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    • pp.528-536
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    • 2011
  • In this paper, we analyze the location accuracy of real-time locating systems (RTLSs) in multipath environments in which the RTLSs comply with the ISO/IEC 24730-2 international standard. To analyze the location error of RTLS in multipath environments, we consider a direct path and indirect path, in which time and phase are delayed, and also white Gaussian noise is added. The location error depends strongly on both the noise level and phase difference under a low signal-to-noise ratio (SNR) regime, but only on the noise level under a high SNR regime. The phase difference effect can be minimized by matching it to the time delay difference at a ratio of 180 degrees per 1 chip time delay (Tc). At a relatively high SNR of 10 dB, a location error of less than 3 m is expected at any phase and time delay value of an indirect signal. At a low SNR regime, the location error range increases to 8.1 m at a 0.5 Tc, and to 7.3 m at a 1.5 Tc. However, if the correlation energy is accumulated for an 8-bit period, the location error can be reduced to 3.9 m and 2.5 m, respectively.