• Proceedings of the KIEE Conference
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• 2007.07a
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• pp.1680-1681
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• 2007

This paper deals with RLS algorithm using Newton-Raphson method based adaptive forgetting factor for a passive telemetry RF sensor system in order to estimate the time variant parameter to be included in RF sensor model.

• The Transactions of the Korean Institute of Power Electronics
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• v.6 no.5
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• pp.446-452
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• 2001

In this paper, a novel design method of variable motor inertia in Induction motor drive system is proposed. The inertia of a load and a motor are estimated by using RLS (Recursive Least Square) algorithm. The speed controller is designed by Kharitonov theory of motor. The effectiveness of the proposed scheme is verified with simulation and experiment results.

• Sleep Medicine and Psychophysiology
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• v.20 no.1
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• pp.15-21
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• 2013

Objectives: Cognitive impairment in restless legs syndrome (RLS) patients can be affected by sleep deprivation, anxiety and depression, which are common in RLS. The objective of this study is to investigate relationship between cognitive impairment and RLS in the non-medicated Korean elderly with controlling for psychiatric conditions. Method: The study sample for this study comprised 25 non-medicated Korean elderly RLS patients and 50 age-, sex-, and education- matched controls. All subjects were evaluated with comprehensive cognitive function assessment tools- including the Korean version of Consortium to Establish a Registry for Alzheimer's Disease Assessment Packet (CERAD-K), severe cognitive impairment rating scale (SCIRS), frontal assessment battery (FAB), and clock drawing test (CLOX). Sleep quality and depression were also assessed with Pittsburgh sleep quality index (PSQI) and geriatric depression scale (GDS). Results: PSQI and GDS score showed no difference between RLS and control group. There was no significant difference between two groups in nearly all the cognitive function except in constructional recognition test, in which subjects with RLS showed lower performance than control group (t=-2.384, p=0.02). Subjects with depression ($GDS{\geq}10$) showed significant cognitive impairment compared to control in verbal fluency, Korean version of Mini Mental Status Examination in the CERAD-K (MMSE-KC), word list memory, trail making test, and frontal assessment battery (FAB). In contrast, no difference was observed between subjects who have low sleep quality (PSQI>5) and control group. Conclusions: At the exclusion of the impact of insomnia and depression, cognitive function was found to be relatively preserved in RLS patients compared to control. Impairment of visual recognition in RLS patients can be explained in terms of dopaminergic dysfunction in RLS.

• Journal of Physiology & Pathology in Korean Medicine
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• v.23 no.5
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• pp.1087-1094
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• 2009

The purpose of this study was investigated hypoglycemic effects of fermented red ginseng extracts. We prepared non-fermented red ginseng extracts(R), fermented with Lactobacillus plantarum(RL) extracts, Saccharomycescerevisiae(RS) extracts, and L. plantarum mixed S. cerevisiae(RLS) extracts, examined composition of ginsenosides, SOD-like activity, and $\alpha$-glucosidase inhibitory activity. Ginsenoside Re was highest contents in all extracts, second was ginsenoside Rc and then ginsenoside Rb1. Concentration of these ginsenoside was showed higher in RS than in other extracts. SOD-like activity and $\alpha$-glucosidase inhibitory activity were shown higher in fermented red ginseng extracts than non fermented extracts. And activities of mixed fermentation extracts(RLS) higher than single fermentation extracts(RL, RS). Effects of blood glucose level, serum lipid profile and metabolic variables were evaluated in streptozotocin(STZ) induced diabetic rat. Experimental group was divided into 7 groups: normal control group(hereafter NC group), diabetes control group(DC group), positive control group treated with 50 mg/kg body weight of acarbose(PC group), treated with 300 mg/kg body weight of R, RL, RS and RLS extracts groups, respectively. Blood glucose level of DC group was maintained high level in all experimental period, but treated with red ginseng extracts groups was reduced the glucose level by R group 18.00%, RL group 28.07%, RS group 29.03%, RLS group 42.42%, respectively. The concentration of total cholesterol and triglyceride of fermented red ginseng extracts treated groups (RL, RS, RLS) was lower than non- fermented extracts group(R) DC and PC groups. The activity of ALT, AST in RLS treated groups were lower than other groups.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2007.11a
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• pp.163-166
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• 2007

최근에 국내외의 인공지능 분야에서는, 강화학습(reinforcement learning)에 관한 연구가 활발히 진행되고 있다. 본 논문에서는 능동형 현가장치(active-suspension)의 제어를 위하여 RLS 기반 NAC(natural actor-critic)을 활용한 강화학습 기법을 적용해보고, 그 성능을 시뮬레이션을 통해 확인해본다.

• Sleep Medicine and Psychophysiology
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• v.7 no.2
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• pp.84-87
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• 2000

The periodic limb movement (PLM) disorder is a disease of motor sign mainly in the lower extremities, whereas the restless leg syndrome (RLS) accompanies sensory symptoms in the lower extremities. These two disorders may occur in the one patient, which implies possible common pathophysiological background in those disorders. The aim of this article is to review the clinical features, diagnostic criteria, electrophysiological characteristics of the two disorders and their relation to neurological disorders.

• Proceedings of the KIEE Conference
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• 1999.07b
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• pp.785-787
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• 1999

In this paper, recursive least square algorithm is presented to estimate the parameters of step motor under low-speed operation. Parameter estimation is important for compensating the input current by calculating the ratio of the motor torque constant and detent torque constant that causes torque-ripple in low-speed applications. On-line parameter estimation process is a preliminary procedure to apply step motor to adaptive control. Computer simulation shows that the estimated parameters converge in finite time.

• Journal of Institute of Control, Robotics and Systems
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• v.15 no.1
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• pp.44-53
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• 2009

In this paper, Recursive Least Squares (RLS) and Fourier Transform Regression (FTR) methods for estimating stability and control derivatives of small unmanned helicopter are evaluated together with MMLE technique. Flight data simulated by using a commercial small-scale helicopter model are exploited to estimate the parameters with accuracies for hover and cruise modes. The performances of the system identification methods are also compared by analyzing the responses of the reconstructed systems using estimated derivatives.

• Proceedings of the KIPE Conference
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• 1998.10a
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• pp.293-297
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• 1998

This paper presents a newly developed speed sensorless drive using RLS based on Neural Network Training Algorithm. The proposed algorithm has just the time-varying learning rate, while the wellknown back-propagation algorithm based on gradient descent has a constant learning rate. The number of iterations required by the new algorithm to converge is less than that of the back-propagation algorithm. The theoretical analysis and experimental results to verify the effectiveness of the proposed control strategy are described.

• Proceedings of the Acoustical Society of Korea Conference
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• 1991.06a
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• pp.23-27
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• 1991

RLS(Recursive Least Squares)나 LMS(Least mean square)등은 알고리듬 고유의 성질상 잡음이 섞인 시스템에 있어서는 올바른 역 모델링을 할 수 없다. 따라서, 잡음의 영향을 받지않는 견실한(robust) 모델 추정 알고리듬이 필요하다. 본 논문에서는 잡음환경하에 있는 시스템을역 모델링하는데 있어서, 잡음의 영향을 줄이기위해 완전최소자승법을 도입하고 기존의 최소자승법과 비교 실험하였다. 그리고, 이 방법의 적응 알고리듬을 제안하였으며, RLS(Recursive least squares)와 그 성능을 비교하여 타당성을 검토하였다.