• 한국생산제조학회지
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• 제9권2호
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• pp.45-51
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• 2000

This study proposes that analysis and evaluation method of time series ultrasonic signal using the chaotic feature extrac-tion for degradation extent. Features extracted from time series data using the chaotic time series signal analyze quantitatively material degradation extent. For this purpose analysis objective in this study if fractal dimension lyapunov exponent and strange attractor on hyperspace. The lyapunov exponent is a measure of the rate at which nearby trajectories in phase space diverge. Chaotic trajectories have at least one positive lyapunov exponent. The fractal dimension appears as a metric space such as the phase space trajectory of a dynamical syste, In experiment fractal(correlation) dimensions and lyapunov experiments showed values of mean 3.837-4.211 and 0.054-0.078 in case of degradation material The proposed chaotic feature extraction in this study can enhances ultrasonic pattern recognition results from degrada-tion signals.

• Journal of Welding and Joining
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• 제18권5호
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• pp.77-83
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• 2000

This study proposes the analysis and evaluation method of time series ultrasonic signal using the attractor analysis. Features extracted from time series signal analyze quantitatively characteristics of weld defects. For this purpose, analysis objective in this study is fractal dimension and attractor quadrant feature. Trajectory changes in the attractor indicated a substantial difference in fractal characteristics resulting from distance shifts such as parts of head and flange even though the types of defects are identified. These difference in characteristics of weld defects enables the evaluation of unique characteristics of defects in the weld zone. In quantitative fractal feature extraction, feature values of 3.848 in the case of part of head(crack) and 4.102 in the case of part of web(side hole) and 3.711 in the case of part of flange(crack) were proposed on the basis of fractal dimensions. Proposed attractor analysis and DAC in this study can enhance the precision rate of ultrasonic evaluation for defect signals of rail weld zone such as side hole and crack.

• 한국철도학회논문집
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• 제6권2호
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• pp.81-86
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• 2003

This study proposes the neural network simulator for the integrity evaluation of weld zone in railway rails. For these purposes, the ultrasonic signals for defects(crack) of weld zone in frames are acquired in the type of time series data and echo strength. The detection of the natural defects in railway truck is performed using the characteristics of echodynamic pattern in ultrasonic signal. And then their applications evaluated feature extraction based on the time-frequency-attractor domain(peak to peak, rise time, rise slope, fall time, fall slope, pulse duration, power spectrum, and bandwidth) and attractor characteristics (fractal dimension and attractor quadrant) etc. The constructed neural network simulator agrees fairly well with the measured results of test block(defect location, beam propagation distance, echo strength, etc). The Proposed neural network simulator in this study can be used for the integrity evaluation of weld zone in railway rails.

• 한국정밀공학회지
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• 제19권11호
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• pp.103-111
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• 2002

In this study, the natural flaws in welding parts are classified using the signal pattern classification method. The storage digital oscilloscope including FFT function and enveloped waveform generator is used and the signal pattern recognition procedure is made up the digital signal processing, feature extraction, feature selection and classifier design. It is composed with and discussed using the distance classifier that is based on euclidean distance the empirical Bayesian classifier. feature extraction is performed using the class-mean scatter criteria. The signal pattern classification method is applied to the signal pattern recognition of natural flaws.

• 동의생리병리학회지
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• 제23권6호
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• pp.1416-1422
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• 2009

To observe the difference and change of the efficacy and ingredient appearing according to whether semen zizyphi spinosae has been roasted and its extraction method, locomotor activity, anticonvulsant activity, sleeping effect of each hot water and UMPM low temperature extracts of roast and raw semen zizyphi spinosae were measured through animal tests. Roast semen zizyphi spinosae showed superior pharmacological efficacy than raw semen zizyphi spinosae. Also, hot water extraction method showed superior pharmacological efficacy than low temperature extraction method(UMPM) that uses ultrasonic waves and microwaves. In short, it was shown that herbal medicine's extraction method needs to maximize medicinal effects by trying optimum extraction methods according to efficacy by considering characteristics of each herbal medicine. Together, there's also the need for in-depth studies on water-soluble ingredients of semen zizyphi spinosae that may be extracted through full hot water extraction method.

• Natural Product Sciences
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• 제18권3호
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• pp.171-176
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• 2012

We previously isolated cordycepin, guanosine and tryptophan from Cordyceps militaris as antiadipogenic constituents. For the quality control of C. militaris for anti-adipogenic activity, simultaneous analytical method using high-performance liquid chromatography (HPLC)-diode array detection (DAD) was developed and validated. Quantitation of these compounds in various Cordyceps samples from different sources and various extraction methods were conducted using developed method. Our study shows that natural Cordyceps and host insect possess higher content than cultured ones and fruiting bodies, respectively. The content of cordycepin showed great difference in different C. militaris samples whereas trytophan content was similar in tested samples. Addition of water to extraction solvent greatly increased the yield of guanosine and tryptophan. High temperature and longer extraction time increased yield of guanosine, whereas the content of trytophan was decreased in high temperature during extraction with water. Extraction using ultrasonic apparatus slightly increased extraction efficiency. Cordycepin, however, has little variation in different extraction method tested. Strong anti-adipogenic activity was observed in the samples that contain all the three constituents. Taken together, quantitation of these compounds using developed analytical method might provide basic requirement for the anti-adipogenic activity of C. militaris.

• 분석과학
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• 제34권4호
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• pp.153-159
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• 2021

In this study, we describe the development of a new high-performance liquid chromatography (HPLC) method for the simultaneous analysis of six bioactive compounds (including gallic acid, epicatechin 3-gallate, quercitrin, afzelin, quercetin, and kaempferol) from Orostachys japonicus. The extraction method was investigated and optimization of the extraction time (min), solvent composition (%), and solvent to material ratio were conducted. As a result, 30 min extraction with 50% methanol and 40:1 mL/g of solvent: material ratio achieved the highest extraction efficiency with a yield of 3.32 mg/g. Furthermore, the developed HPLC method was validated and the correlation coefficient (R) values were within the satisfactory range of 0.9995-0.9999 over the linearity range of 1.53-417 ㎍/mL. The limit of detection and limit of quantification for the six active components were between 0.03-0.08 ㎍/mL and 0.08-0.26 ㎍/mL, respectively. With these newly optimized and developed methods, four batches of O. japonicus were analyzed to confirm the high extraction efficiency of the method and the feasibility of an application.

• 대한본초학회지
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• 제27권6호
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• pp.63-69
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• 2012

Objectives : Decoction, in Korean Medicine, is a pharmacological method of extraction, by boiling, of dissolved chemicals, or herbal prescriptions, which may include stems, roots, bark and rhizomes. Decoctions differ from most teas, infusions, in that they are usually boiled. This study was performed to compare the difference of water decoctions extracted by different decoction extractor and extraction time and to analyze the reason of decoctions extracted by each decoction extractor have different taste. Methods : With water decoction samples by Pressure extractor, Non-pressure extractor and Ultrasonic waves merge extractor for 1 hr, 2 hr and 3 hr were investigated the yield and the concentration of hesperidin and glycyrrhizin by HPLC/DAD system in Pyungwi-san decoction. Results : The samples of each extractor were gradually increased the yield and the concentration of hesperidin and glycyrrhizin. The HPLC pattern of samples is similar. The yield and the concentration of hesperidin and glycyrrhizin of Ultrasonic waves merge extractor was most highest of the three. The rate of increase of the yield and the hesperidin concentration of between 1 hr and 2 hr in Pressure extractor was the most highest of the three. But the concentration of glycyrrhizin in Pressure extractor was relatively similar to Non-pressure extractor. Conclusions : The yield and the concentration of reference compounds in Pyungwi-san water decoction was influenced by extracting method and extracting time. For scientific movement and standardization of extracting medicinal herbs method need to study of extractor validation and to study in vitro and in vivo.

• Korean Chemical Engineering Research
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• 제58권2호
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• pp.273-279
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• 2020

본 연구에서는 바이오매스로부터 파클리탁셀 회수를 위한 전통적 용매 추출(conventional solvent extraction, CSE), 마이크로웨이브를 이용한 추출(microwave-assisted extraction, MAE), 초음파를 이용한 추출(ultrasound-assisted extraction, UAE) 방법을 비교하였다. 추출 용매 종류(아세톤, 클로로포름, 에탄올, 메탄올, 메틸렌 클로라이드)에 따른 영향을 조사한 결과, 메탄올이 모든 추출 방법에서 가장 적합하였다. 메탄올을 이용한 MAE와 UAE의 경우, 단 1회의 추출로 대부분의 파클리탁셀 회수(>95%)가 가능하였다. 또한 MAE와 UAE의 경우 추출 온도(25-45 ℃), 마이크로웨이브 파워(50-150 W), 초음파 파워(180-380 W)의 증가에 따라 파클리탁셀 회수율이 증가하였다. 또한 SEM 분석을 통해 바이오매스 표면을 조사한 결과, 표면 구조가 CSE의 경우에는 조금 주름진 형태를 보인 반면 MAE와 UAE의 경우에는 강한 충격으로 매우 거칠고 파괴된 형태를 보였다.

• 제어로봇시스템학회논문지
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• 제19권1호
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• pp.15-26
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• 2013

This paper proposes a classification method of parallel, vertical parking states and pillars for parking assist system using ultrasonic sensors. Since, in general parking space detection module, the compressed amplitude of ultrasonic data are received, the analysis of them is difficult. To solve these problems, in preprocessing state, symmetric transform and noise removal are performed. In feature extraction process, four features, standard deviation of distance, reconstructed peak, standard deviation of reconstructed signal and sum of width, are proposed. Gaussian fitting model is used to reconstruct saturated peak signal and discriminability of each feature is measured. To find the best combination among these features, multi-class SVM and subset generator are used for more accurate and robust classification. The proposed method shows 92 % classification rate and proves the applicability to parking space detection modules.