• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2005.11a
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• pp.551-554
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• 2005

The method of the reduction of the automotive induction noise can be classified by the method of passive control and the method of active control. However, the passive control method has a demerit to reduce the effect of noise reduction at low frequency (below 500Hz) range and to be limited by a space of the engine room. Whereas, the active control method can overcome the demerit of passive control method. The algorithm of active control is mostly used the LMS (Least-Mean-Square) algorithm because the LMS algorithm can easily obtain the complex transfer function in real-time. Especially, When the Filtered-X LMS (FXLMS) algorithm is applied to an ANC system. However, the convergence performance of LMS algorithm goes bad when the FXLMS algorithm is applied to an active control of the induction noise under rapidly accelerated driving conditions. Thus Normalized FXLMS algorithm was developed to improve the control performance under the rapid acceleration. The advantage of Normalized FXLMS algorithm is that the step size is no longer constant. Instead, it varies with time. But there is one additional practical difficulty that can arise when a nonstationary input is used. If the input is zero for consecutive samples, then the step size becomes unbounded. So, in order to solve this problem. the Correlation FXLMS algorithm was developed. The Correlation FXLMS algorithm is realized by using an estimate of the cross correlation between the adaptation error and the filtered input signal to control the step size. In this paper, the performance of the Correlation FXLMS Is presented in comparison with that of the other FXLMS algorithms based on computer simulations.

• Journal of the Korean Society of Laryngology, Phoniatrics and Logopedics
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• v.14 no.1
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• pp.5-9
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• 2003

Introduction : Laryngomicrosurgery(LMS) is frequent procedure applying to benign and early malignant larygeal disease such as vocal cord polyp, nodule and early glottic cancer. LMS has been known as safe procedure and short time consuming treatment. So few reports about complications in LMS was done. In this study, complications and problems from LMS were investigated and reported. Method : From 2000, January to 2001, December, 180 patients who were treated with LMS in Asan medical center were studied by retrograde chart review. Results : In these patients, total 9 patients(5%) were suffered from complication. 4 patients (2%) had teeth injury and 4(2%) were suffered from foreign body sensation in tongue and 1(1%) had hypoglossal nerve injury. Main mechanism of complications is thought by pressure injury by laryngoscope blade. No definite correlation between procedure and complication was observed. Conclusion : There are few neural complications with LMS such as lingual and hypoglossal nerve injury. Before operation of LMS, warning and informing of complications by mechanical stress must be done. Gentle procedure and short operation time are necessary to avoid these problems. And patients who have risk factors of oral complications such as dental disease or dental prosthesis must have dental evaluation and treatment before LMS procedure.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.45 no.2
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• pp.90-94
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• 2008

It is well-blown that the convergence rate gets worse when an input signal to an adaptive filter is correlated. In this paper we propose a new adaptive filtering algorithm that makes the convergence rate much improved even for highly correlated input signals. By introducing an orthogonal constraint between successive input signal vectors we overcome the slow convergence problem of the LMS algorithm with the correlated input signal. Simulation results show that the proposed algerian yields fast convergence speed and excellent tracking capability under both time-invariant and time-varying environments, while keeping both computation and implementation simple.

• The Journal of the Convergence on Culture Technology
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• v.8 no.4
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• pp.27-35
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• 2022

This study In order to understand the mediating role of the LMS learning effect between digital literacy and major satisfaction of nursing students, data were collected from 241 students enrolled in the nursing college of J city. The collected data were analyzed using SPSS WIN 23.0. The study results show that digital literacy of nursing students has a positive effect on the LMS learning effect (B=.65, p<.001) and major satisfaction (B=.62, p<.001), and the LMS learning effect on the major satisfaction There was a positive (B = .19, p < .001) correlation between the results, and it was found that the LMS learning effect plays a mediating role in the relationship between digital literacy and major satisfaction of nursing students. Therefore, in order to improve nursing students' major satisfaction, it is necessary to develop and apply a program that can improve not only digital literacy but also LMS learning effects.

• The Transactions of the Korean Institute of Electrical Engineers D
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• v.54 no.10
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• pp.639-642
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• 2005

In this paper, a robust nonlinear echo cancellation is proposed, where a third-order adaptive Volterra filtering is employed along with an expanded correlation LMS (ECLMS) algorithm to compensate for nonlinear distortion in the echo path. (e.g., DAC of the hybrid network). Finally, the robustness in the echo cancellation of the proposed approach is demonstrated using computer simulations, where high attenuation of echo signals is achieved even in the double-talk situation (e.n., BdB improvement in ERLE).

• International Journal of Highway Engineering
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• v.7 no.1 s.23
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• pp.11-20
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• 2005

This study examined the correlation between mechanical properties and LMS(Large molecular size) of binders in hot-recycled asphalt mixtures. Hot-recycled asphalt mixtures were manufactured by various mixing methods. Laboratory tests including indirect tensile strength, wheel tracking test and Kim test were performed for each recycled mixture. Gel-permeation chromatography (GPC) analysis was performed for the binders coated on virgin and old (RAP) aggregates separately. For the purpose of binder aging analysis, a round-shaped virgin coarse aggregates (13mm gravel) were introduced in recycled mixtures. This makes possible to distinguish the virgin aggregates from RAP aggregates in recycled mixtures for GPC sampling. Results of GPC showed that there was significant difference in aging level between the binder coated on RAP and that of virgin aggregates in the same recycled mixture. Regression analysis was performed to correlate mechanical properties to LMS ratio. Results showed that most of the mechanical properties had relatively good correlation with LMS. This trend agree with LMS increase up to some degree, but fails for further LMS increase.

• International Journal of Contents
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• v.3 no.2
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• pp.35-39
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• 2007

The cognitive radio communication is taking the attentions because the development of the technique came to be possible to analyze wireless signals. In the IEEE 802.22 WRAN Systems[1], how to detect a spectrum and signals is continuously studied. In this paper, we propose the efficient signal detection method using SCF (Spectral Correlation Function). It is easy to detect the signal feature when we are using the SCF. Because most modulated signals have the cyclo-stationarity which is unique for each signal. But the fading channel effected serious influence even though it detects the feature of the signal. We applied LMS(Least Mean Square) filter for the compensation of the signal which is effected the serious influence in the fading channel. And we analyze some signal patterns through the SCF. And we show the unique signal feature of each signal through the SCF method. It is robust for low SNR(Signal to Noise Ratio) environment and we can distinguish it in the fading channel using LMS Filter.

• 제어로봇시스템학회:학술대회논문집
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• 2001.10a
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• pp.98.5-98
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• 2001

An efficient adaptive nonlinear compensator, based on a wavelet transform domain adaptive Volterra filter along with a modified escalator algorithm, is proposed to speed up the convergence rate of an adaptive LMS algorithm. In particular, it is well known that the e.g., slow convergence speed of an adaptive LMS algorithm depends on the statistical characteristics (e.g., large eigenvalue spread) of the corresponding auto-correlation matrix of the input vector. To solve such a convergence problem, the proposed approach utilizes a modified escalator algorithm and a wavelet transform domain adaptive LMS Volterra filtering technique, which leads to diagonalization of the auto-correlation matrix of the ...

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2007.11a
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• pp.737-742
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• 2007

The method of the reducing duct noise can be classified by passive and active control techniques. However, passive control has a limited effect of noise reduction at low frequencies (below 500Hz) and is limited by the space. On the other hand, active control can overcome these passive control limitations. The active control technique mostly uses the Least-Mean-Square (LMS) algorithm, because the LMS algorithm can easily obtain the complex transfer function in real-time particularly when the Filtered-X LMS (FXLMS) algorithm is applied to an active noise control (ANC) system. However, the convergence performance of the LMS algorithm decreases slightly so it may delay the convergence time when the FXLMS algorithm is applied to the active control of duct noise. Thus the Co-FXLMS algorithm was developed to improve the control performance in order to solve this problem. The Co-FXLMS algorithm is realized by using an estimate of the cross correlation between the adaptation error and the filtered input signal to control the step size. In this paper, the performance of the Co-FXLMS algorithm is presented in comparison with the FXLMS algorithm. Simulation results show that active noise control using Co-FXLMS is effective in reducing duct noise.

• The Transactions of the Korean Institute of Electrical Engineers P
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• v.64 no.3
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• pp.169-174
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• 2015

Noise problem that occurs on the road is raising a lot of problems in the economic, social and environmental aspects. The active noise control (ANC) systems based on the filtered-X least mean square(FxLMS) algorithm have a problem with compensating the acoustic feedback of secondary route. However, newly proposed correlation-LMS(CLMS) and expanded CLMS algorithms have slightly much calculation and are minutely behind performance, these have a advantage not in measuring transfer function onerously so that we can easily adapt these in real time. The CLMS and expanded CLMS algorithm was developed to improve the real-time implementation performance under the variable input noise such as road noise environment. In this paper, we compared and analyzed their performance. From the results of the Matlab simulation for an ANC system, it is shown that expanded CLMS algorithms are more convergence speed and keep the desirable performance even in the input of road noise situation.