• Title/Summary/Keyword: 평균 자승 오차

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A PDF-distance minimization algorithm for blind equalization for underwater communication channels with multipath and impulsive noise (다중경로와 임펄스 잡음이 있는 수중 통신 채널의 블라인드 등화를 위한 확률분포-거리 최소화 알고리듬)

  • Kim, Nam-Yong
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.15 no.2
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    • pp.299-306
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    • 2011
  • In this paper, a blind adaptive equalization algorithm based on PDF-distance minimization and a set of Delta functions is introduced and its superior robustness against impulsive noise and multipath characteristics of underwater communication channels is proved. The conventional CMA based on MSE has shown to be incapable of coping with impulsive noise, and correntropy blind algorithm has also revealed to yield not satisfying performance for the mission. On the other hand, the blind adaptive equalization algorithm based on PDF-distance minimization and a set of Delta functions has been proved to solve effectively the problem of impulsive noise and multipath characteristics of underwater communication channels through theoretical and simulation analysis.

Analysis of the relationship between regional economic growth and obesity by using Lasso Regression (Lasso Regression을 이용한 지역 경제 성장과 비만율의 상관관계 분석)

  • Kil, Eungyu;OH, Sujin;Kim, Ung-Mo
    • Proceedings of the Korea Information Processing Society Conference
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    • 2018.10a
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    • pp.565-568
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    • 2018
  • 본 연구에서는 Lasso Regression을 기반으로 하여 지역 경제 성장과 비만율을 예측한다. 연구는 3단계로 나누어 진행된다. 우선 지역성장을 대변할 수 있는 가상의 GDP 수치를 구한다. 그 다음 가상의 GDP 수치와 비만율 데이터를 이용하여 학습모델을 만든다. 마지막으로 이전의 데이터를 이용하여 앞으로의 성장을 예측하고 학습모델에 적용하여 비만율을 예측한다. 본 연구의 데이터는 학습데이터와 실험데이터를 구성된다. 학습데이터로는 국내의 8도 중 하나인 강원도의 데이터를 이용하며 실험데이터로는 강릉과 원주의 데이터를 이용한다. 평가 비교 대상으로는 과거의 흐름을 반영하는 최소자승법 예측기법을 선정하여 비교한다. 연구 결과 강릉의 경우 비교 데이터와의 오차율 평균은 1.22%로 큰 차이가 없음을 알 수 있다. 따라서 본 연구에서 제안하는 방법이 과거의 흐름을 기반으로 작성됨을 알 수 있다. 하지만 단순히 과거의 흐름만을 통해 예측하는 것은 여러 요소가 복합적으로 작용하는 비만율 예측에 알맞지 않기 때문에 본 연구 방법이 유의미하다고 여겨진다.

A Study on the Measurements of Sub-surface Residual Stress in the Field of Linear Stress Gradient (선형구배 응력장에서 표층의 잔류응력 측정에 관한 연구)

  • 최병길;전상윤;이택순
    • Transactions of the Korean Society of Mechanical Engineers
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    • v.16 no.9
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    • pp.1632-1642
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    • 1992
  • When a blind hole of small diameter is drilled in the field of residual stress, strain relieved around the hole is function of magnitude of stress, patterns of stress distribution and hole geometry of diameter and depth. Relieved strain coefficients can be calculated from FEM analysis of relieved strain and actual stress. These relieved strain coefficients make it possible to measure residual stress which vary along the depth in the subsurface of stressed material. In this study, the calibration tests of residual stress measurement are carried out by drilling a hole incrementally on the cantilever or on the tensile test bar. Residual stresses can be determined from measured strains around a shallow hole by application of power series method. For the sake of reliable measurement of residual stress, much efforts should be done to measure relieved strains and hole depth more accurately comparing with conventional procedures of gage subject to the external load. Otherwise linear equations converting strains into stresses may yield erratic residual stresses because of ill-conditions of linear equations. With accurate measurements of relieved strains, residual stress even if varying along the depth can be measured. It is also possible to measure residual stress in the thin film of material by drilling a shallow hole.

Comparison of Partial Least Squares and Support Vector Machine for the Flash Point Prediction of Organic Compounds (유기물의 인화점 예측을 위한 부분최소자승법과 SVM의 비교)

  • Lee, Chang Jun;Ko, Jae Wook;Lee, Gibaek
    • Korean Chemical Engineering Research
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    • v.48 no.6
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    • pp.717-724
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    • 2010
  • The flash point is one of the most important physical properties used to determine the potential for fire and explosion hazards of flammable liquids. Despite the needs of the experimental flash point data for the design and construction of chemical plants, there is often a significant gap between the demands for the data and their availability. This study have built and compared two models of partial least squares(PLS) and support vector machine(SVM) to predict the experimental flash points of 893 organic compounds out of DIPPR 801. As the independent variables of the models, 65 functional groups were chosen based on the group contribution method that was oriented from the assumption that each fragment of a molecule contributes a certain amount to the value of its physical property, and the logarithm of molecular weight was added. The prediction errors calculated from cross-validation were employed to determine the optimal parameters of two models. And, an optimization technique should be used to get three parameters of SVM model. This work adopted particle swarm optimization that is one of heuristic optimization methods. As the selection of training data can affect the prediction performance, 100 data sets of randomly selected data were generated and tested. The PLS and SVM results of the average absolute errors for the whole data range from 13.86 K to 14.55 K and 7.44 K to 10.26 K, respectively, indicating that the predictive ability of the SVM is much superior than PLS.

Development and application of GLS OD matrix estimation with genetic algorithm for Seoul inner-ringroad (유전알고리즘을 이용한 OD 추정모형의 개발과 적용에 관한 연구 (서울시 내부순환도로를 대상으로))

  • 임용택;김현명;백승걸
    • Journal of Korean Society of Transportation
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    • v.18 no.4
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    • pp.117-126
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    • 2000
  • Conventional methods for collecting origin-destination trips have been mainly relied on the surveys of home or roadside interview. However, the methods tend to be costly, labor intensive and time disruptive to the trip makers, thus the methods are not considered suitable for Planning applications such as routing guidance, arterial management and information Provision, as the parts of deployments in Intelligent Transport Systems Motivated by the problems, more economic ways to estimate origin-destination trip tables have been studied since the late 1970s. Some of them, which have been estimating O-D table from link traffic counts are generally Entropy maximizing, Maximum likelihood, Generalized least squares(GLS), and Bayesian inference estimation etc. In the Paper, with user equilibrium constraint we formulate GLS problem for estimating O-D trips and develop a solution a1gorithm by using Genetic Algorithm, which has been known as a g1oba1 searching technique. For the purpose of evaluating the method, we apply it to Seoul inner ringroad and compare it with gradient method proposed by Spiess(1990). From the resu1ts we fond that the method developed in the Paper is superior to other.

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Robust frame synchronization algorithm in time-varying underwater acoustic communication channel (수중 음향통신에서 채널 시변동성에 강인한 프레임 동기 알고리즘)

  • Ko, Seokjun;Kim, Wan-Jin
    • The Journal of the Acoustical Society of Korea
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    • v.39 no.1
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    • pp.8-15
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    • 2020
  • In this paper, we propose a frame synchronization algorithm for robust to the combined effects of large Doppler fluctuations and extended, time-varying multipath in the underwater acoustic communication. From the algorithm, we can recover a high timing error which is occurred from an acoustic propagation delay and uncertainty of oscillator between transmitter and receiver. In order to verify the performance of the synchronization algorithm, the lake trial results are used. The lake experiments are performed in a Gyeongcheonho located in Mungyeong-si, Gyeongsangbuk-do. We can see that the start position of frame is adjusted after the frame synchronization while the receiver moving.

The Initial Value Setting-Up Method for Extending the Range of the Optimal Step Parameter under LMS Algorithm (LMS 알고리즘에서 최적 매개변수의 선택 폭 확대를 위한 초기치의 설정방법)

  • Cho, Ki-Ryang;An, Hyuk;Choo, Byoung-Yoon;Lee, Chun-Jae
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.7 no.2
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    • pp.284-292
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    • 2003
  • In this paper, we carried out the numerical examination of the initial value setting-up method to extend the range of optimal step parameter in a adaptive system which is controlled by LMS algorithm. For initial value setting-up methods, the general method which select the initial value randomly and the other method which applies the approximate value obtained from the direct method to initial value, were used. And then, we compared to the ranges of step parameter setting, the convergence speeds of mean-square-error, and the stabilities during the convergence process when the initial values were applied to the optimal directivity synthesis problem. According to the numerical simulation results, the initial value setting-up method by means of the direct method provides wider range for the step parameter, more efficient capability for convergence and stability, and more error correction ability than the general method.

A Numerically Controlled Oscillator for Multi-Carrier Channel Separation in Cdma2000 3X (Cdma2000 3X 다중 반송파 채널 분리용 수치 제어 발진기)

  • Lim In-Gi;Kim Whan-Woo
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.29 no.11A
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    • pp.1271-1277
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    • 2004
  • We propose a foe phase tuner and a rounding processor for a numerically controlled oscillator (NCO), yielding a reduced phase error in generating a digital sine waveform. By using the fine Phase tuner Presented in this paper, when the ratio of the desired sine wave frequency to the clock frequency is expressed as a fraction, an accurate adjustment in representing the fractional value can be achieved with simple hardware. In addition, the proposed rounding processor reduces the effects of phase truncation on the output spectrum. Logic simulation results of the NCO for multi-carrier channel separation in cdma2000 3X multi-carrier receive system using these techniques show that the noise spectrum and mean square error (MSE) are reduced by 8.68 dB and 5.5 dB, respectively compared to those of truncation method and 2.38 dB and 0.83 dB, respectively, compared to those of Paul's scheme.

Adaptive Learning Based on Bit-Significance Optimization with Hebbian Learning Rule and Its Electro-Optic Implementation (Hebb의 학습 법칙과 화소당 가중치 최소화 기법에 의한 적응학습 및 그의 전기광학적 구현)

  • Lee, Soo-Young;Shim, Chang-Sup;Koh, Sang-Ho;Jang, Ju-Seog;Shin, Sang-Yung
    • Journal of the Korean Institute of Telematics and Electronics
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    • v.26 no.6
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    • pp.108-114
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    • 1989
  • Introducing and optimizing bit-significance to the Hopfield model, ten highly correlated binary images, i.e., numbers "0" to "9", are successfully stored and retrieved in a $6{}8$ node system. Unlike many other neural network models, this model has stronger error correction capability for correlated images such as "6","8","3", and "9". The bit significance optimization is regarded as an adaptive learning process based on least-mean-square error algorithm, and may be implemented with Widrow-Hoff neural nets optimizer. A design for electro-optic implementation including the adaptive optimization networks is also introduced.

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Blind Equalization of Digital Television Broadcasting Signals in Dynamic Multipath Channels (다이내믹 다중경로 채널에서의 디지털 텔레비전 방송 신호에 대한 블라인드 등화)

  • 오길남
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.41 no.5
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    • pp.269-274
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    • 2004
  • In this paper, proposed is the dual-mode algorithm of blind decision feedback equalizer (DFE) for digital terrestrial television signals. According to channel impairments, the proposed dual-mode algorithm for blind DFE operates in decision-directed mode or in blind mode of operation. The error signals being used in tap update of the equalizer are generated in the best mode of operations, so that the confidence of equalizer tap coefficient update is more accurate. As a result, it is possible to track the channel characteristics variations by automatic switching over between two modes of operations. For 8-level vestigial sideband modulated digital television signals, the mean square errors and symbol error rates of the proposed algorithm are compared with those of conventional methods. And the usability of the proposed scheme is assessed by computer simulations under various static and dynamic multipath channel environments.