• Geophysics and Geophysical Exploration
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• v.10 no.2
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• pp.124-130
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• 2007

Least squares ($l^2$ norm) solutions of seismic inversion tend to be very sensitive to data points with large errors. The $l^1$ norm minimization gives more robust solutions, but usually with higher computational cost. Iteratively reweighted least squares (IRLS) method gives efficient approximate solutions of these $l^1$ norm problems. I propose an efficient implementation of the IRLS method for a hybrid $l^1/l^2$ minimization problem that behaves as $l^2$ norm fit for small residual and $l^1$ norm fit for large residuals. The proposed algorithm shows more robust characteristics to the decision of the threshold value than the l1 norm IRLS inversion does with respect to the threshold value to avoid singularity.

• Geophysics and Geophysical Exploration
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• v.8 no.2
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• pp.163-169
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• 2005

Recently, the velocity stack domain is having an attention as a very useful domain for various processing in seismic data processing. In order to be used in many applications, the velocity stack should be obtained through an inversion method and the used inversion should have properties like the robustness to noise and the parsimony of velocity stack result. Iteratively Reweighted Least-Squares (IRLS) method is the one of the inversion methods that have such properties. This paper describes the theoretical background, implementation of the method, and examines the characteristics and limits of the IRLS method.

• 한국지구물리탐사학회:학술대회논문집
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• 2005.05a
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• pp.227-232
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• 2005

Least squares (${\ell}^2-norm$) solutions of seismic inversion tend to be very sensitive to data points with large errors. The ${\ell}^p-norm$ minimization for $1{\le}p<2$ gives more robust solutions, but usually with higher computational cost. Iteratively reweighted least squares (IRLS) gives efficient approximate solutions of these ${\ell}^p-norm$ problems. I propose a simple way to implement the IRLS method for a hybrid ${\ell}^1/{\ell}^2$ minimization problem that behaves as ${\ell}^2$ fit for small residual and ${\ell}^1$ fit for large residuals. Synthetic and a field-data examples demonstrates the improvement of the hybrid method over least squares when there are outliers in the data.

• Geophysics and Geophysical Exploration
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• v.8 no.2
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• pp.170-176
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• 2005

Recently the velocity stack inversion is having many attentions as an useful way to perform various seismic data processing. In order to be used in various seismic data processing, the inversion method used should have properties such as robustness to noise and parsimony of the velocity stack result. The IRLS (Iteratively Reweighted Least-Squares) method that minimizes ${L_1}-norm$ is the one used mostly. This paper introduce another method, CGG (Conjugate Guided Gradient) method, which can be used to achieve the same goal as the IRLS method does. The CGG method is a modified CG (Conjugate Gradient) method that minimizes ${L_1}-norm$. This paper explains the CGG method and compares the result of it with the one of IRSL methods. Testing on synthetic and real data demonstrates that CGG method can be used as an inversion method f3r minimizing various residual/model norms like IRLS methods.

• Journal of Oriental Neuropsychiatry
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• v.26 no.4
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• pp.357-364
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• 2015

Objectives: The purpose of this study was to examine the effects of Korean medical treatment for Restless Legs Syndrome (RLS). Methods: We examined the effects of Korean medical treatment for patients with RLS who visited the neuropsychiatric clinic of Korean medicine. We treated the patient with herbal-medication, acupuncture, oriental psychotherapy. IRLS, STAI-X1,X2, BDI-2, BAI, STAXI-S,T were compared before and after 4 and 8 weeks of treatment to determine whether the symptoms and mood of patients were improved. Results: After 4 weeks treatment (n=13), STAI-X1,X2, BDI-2, BAI, STAXI-S scores increased significantly; whereas, IRLS and STAXI-T scores decreased. After 8 weeks treatment (n=8), IRLS, STAI-X1,X2, BDI-2, BAI scores increased significantly; whereas, STAXI-S scores decreased.Conclusions The treatment of RLS with Korean medicine was clinically efficient and resulted in improvement of the symptoms as well as psychological problems.

• Journal of Korean Medicine Rehabilitation
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• v.23 no.2
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• pp.163-174
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• 2013

Restless legs syndrome(RLS) is a neurological disorder characterized by an irresistible urge to move legs to stop uncomfortable or odd sensations. We report a new approach to improve RLS using acupuncture and massage on iliopsoas Muscle. The patients who have RLS were treated by acupuncture and massage on iliopsoas Muscle. We measured 3~6 times IRLS(Korean Versoin of International Restless Legs Scale), VAS(visual analogue scale), and angle(between the legs and the table) during the treatment period. After treatment, RLS symptoms decreased, In case 1, IRLS changed 34 to 10, VAS changed 8 to 2, angle changed 20 to 5. In case 2, IRLS changed 22 to 12, VAS changed 10 to 5, angle changed 15 to 10. In case 3, IRLS changed 30 to 9, VAS changed 8 to 1, angle changed 25 to 5. Acupuncture and massage on iliopsoas muscle for RLS was effective. To effective acupuncture treatment for RLS, more research is needed.

• The Journal of Information Systems
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• v.2
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• pp.194-206
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• 1993

Intelligent remote learning system is a system that incorporate communication technology and others : a database engine, an intelligent tutorial system. Learners can study by themselves through the intelligent tutorial system. The existence of a communication, database and artificial intelligence enhance the capability of IRLS. According to Parsaye, an intelligent databases should have the following features : 1) Knowledge discovery. 2) Data integrity and quality control. 3) Hypermedia management. 4) Data presentation and display. 5) Decision support and scenario analysis. 6) Data format management. 7) Intelligent system design tools. I hope that this research of framework for IRLS paves for the future research. As mentioned in the above, the future work will include an intelligent database, self-learning mechanism using neural network.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
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• v.25 no.9
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• pp.952-958
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• 2014

In this paper, we propose a parametric sparse recovery algorithm(SRA) applied to a radar signal model, based on the compressive sensing(CS), for the ISAR(Inverse Synthetic Aperture Radar) image reconstruction from an incomplete radar-cross-section(RCS) data and for the estimation of rotation rate of a target. As the SRA, the iteratively-reweighted-least-square(IRLS) is combined with the radar signal model including chirp components with unknown chirp rate in the cross-range direction. In addition, the particle swarm optimization(PSO) technique is considered for searching correct parameters related to the rotation rate. Therefore, the parametric SRA based on the IRLS can reconstruct ISAR image and estimate the rotation rate of a target efficiently, although there exists missing data in observed RCS data samples. The performance of the proposed method in terms of image entropy is also compared with that of the traditional interpolation methods for the incomplete RCS data.

• The Journal of the Society of Stroke on Korean Medicine
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• v.22 no.1
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• pp.1-10
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• 2021

■ Objectives The purpose of this case study is to report the effectiveness of Gami Ssanghwa-tang on the restless legs syndrome patient. ■ Methods The patient was treated with Korean medicine, including herbal medication Gami Ssanghwa-tang for 26 days and acupuncture for once a week as an out patient. The evaluation was performed using the Korean versions of the International Restless Legs Scale(K-IRLS). ■ Results After 34 days of treatment, the K-IRLS total score improved from 24 to 8. And at the follow up session(7 days after end of treatment), the K-IRLS total score improved to 0. ■ Conclusion This study suggested that herbal medicine, Gami Ssanghwa-tang might be effective in Restless legs syndrome.

• The Journal of Internal Korean Medicine
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• v.40 no.2
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• pp.270-278
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• 2019

Objective: In this case report, we address the case of a 68-year-old woman with numbness in both soles due to restless legs syndrome. Methods: A patient was treated with Korean medicine including herbal medication Gyejibokryeong-hwan during 73 days as an outpatient. We evaluated the improvements of symptoms by use of the International Restless Legs Scale (IRLS) and checking subjective symptoms of patient. Results: After 73 days of Korean medicine treatment, there was improvement in patient's symptoms. IRLS score improved from 12 to 8, and subjective symptoms improved to about 30% compared to the first time. Conclusions: This study suggested that Korean medicine treatments might be effective in RLS patient recovery.