• 한국전기전자재료학회논문지
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• 제19권10호
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• pp.976-983
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• 2006

Multi-resolution Signal Decomposition (MSD) Technique of Wavelet Transform has interesting properties of capturing the embedded horizontal, vertical and diagonal variations within an image in a separable form. This feature was exploited to identify individual partial discharge sources present in multi-source PD pattern, usually encountered during practical PD measurement. Employing the Daubechies wavelet, feature were extracted from the third level decomposed and reconstructed horizontal and vertical component images. These features were found to contain the necessary discriminating information corresponding to the individual PD sources and multi-PD soruces.

• 한국미생물·생명공학회지
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• 제25권2호
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• pp.183-188
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• 1997

Antimicrobial activity of various extracts of Xanthium strumarium L. was tested against 25 strains of bacteria, yeast and fungus. The crude ethylacetate extract exhibited strong growth inhibition to the tested strains with the exception of partial Gram-negative bacteria. The property of antimicrobial compound was very stable under heat treatment at $120^{\circ}C$, but it was unstable in acid (pH 3.0) and alkali (pH 10.0) treatment. The antimicrobial compounds were purified by boiling water extraction, ethylacetate extraction, charcoal column chromatography, silica gel column chro- matography and reverse phase HPLC. The purified compound A and B were detected in a single peak (each above 98% purity) through the HPLC analysis. The compound A and B showed a strong growth inhibition against Gram-negative and positive bacteria in the agar diffusion method. When tested by the FDA method using the esterase, compound A mainly inhibited the growth of bacteria and compound B showed the growth inhibition of both bacteria and yeasts.

• Applied Biological Chemistry
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• 제23권2호
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• pp.106-114
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• 1980

제주산 밀감 juice의 향기성분을 질소 gas로 추출하여 gas liquid chromatography로 동정하였고 각 성분의 extraction coefficient를 사용하여 함량을 구하였다. 50여개의 peak중 26성분을 동정하였다. 향기성분중 ethanol이 140ppm이며 limonene이 120ppm으로 이 두 성분이 가장 중요한 성분으로 밝혀졌다.

• 한국임상수의학회지
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• 제36권2호
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• pp.106-108
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• 2019

This clinical report describes hemisection and endodontic treatment of first molar tooth and mandible fracture repair in a dog. A 10 years old spayed female shih-tzu was diagnosed as left mandibular fracture by oral examination and dental radiography. First, partial odontectomy of mesial root of mandibular first molar placed in fracture line was performed, and then endodontic treatment of distal root and bone graft in extraction site was performed. Thereafter the fracture region was fixed with interdental wiring and acryl resin splint. Mandibular fracture site was healed without any complications, observed for 19 weeks follow-up period. Upon this result, this case is proving that fractured mandible can be treated successfully with hemisection followed by bone graft, interdental wiring and acryl resin splint to preserve the remaining tooth for mastication rather than tooth extraction.

• 제어로봇시스템학회논문지
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• 제12권7호
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• pp.706-712
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• 2006

Recursive Partial Least Squares(RPLS) method has been used for processing the on-line available multivariate chemical process data and modeling adaptive prediction model for process changes. However, RPLS method is unstable in PLS model updating because RPLS method updates PLS model by merging past PLS model and new data. In this study, Adaptive Predictive Partial Least Squres(APPLS) method is suggested for more sensitive adaptation to process changes. By expanding APPLS method, block-wise Adaptive Predictive Partial Least Squares(block-wise APPLS) method is suggested for a lager scale data of chemical processes. APPLS method has been applied to predict the reactor properties and the product quality of a direct esterification reactor for polyethylene terephthalate(PTT), and block-wise APPLS method has been applied to predict the cetane number using NIR Diesel Spectra data. APPLS and block-wise APPLS methods show better prediction and updating performance than RPLS method.

• Journal of Electrical Engineering and Technology
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• 제9권2호
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• pp.695-706
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• 2014

Partial discharge (PD) measurements have emerged as a dominant investigative tool for condition monitoring of insulation in high voltage equipment. But the major problem behind them the PD signal is severely polluted by several noises like White noise, Random noise, Discrete Spectral Interferences (DSI) and the challenge lies with removing these noise from the onsite PD data effectively which leads to preserving the signal for feature extraction. Accordingly the paper is mainly classified into two parts. In first part the PD signal is artificially simulated and mixed with white noise. In second part the PD is measured then it is subjected to the proposed denoising techniques namely Translation Invariant Wavelet Transform (TIWT). The proposed TIWT method remains the edge of the original signal efficiently. Additionally TIWT based denoising is used to suppress Pseudo Gibbs phenomenon. In this paper an attempt has been made to review the methodology of denoising the PD signals and shows that the proposed denoising method results are better when compared to other wavelet-based approaches like Fast Fourier Transform (FFT), Discrete Wavelet Transform (DWT), by evaluating five different parameters like, Signal to noise ratio, Cross-correlation coefficient, Pulse amplitude distortion, Mean square error, Reduction in noise level.

• ETRI Journal
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• 제38권1호
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• pp.174-184
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• 2016

Information identification with image data by means of low-level visual features has evolved as a challenging research domain. Conventional text-based mapping of image data has been gradually replaced by content-based techniques of image identification. Feature extraction from image content plays a crucial role in facilitating content-based detection processes. In this paper, the authors have proposed four different techniques for multiview feature extraction from images. The efficiency of extracted feature vectors for content-based image classification and retrieval is evaluated by means of fusion-based and data standardization-based techniques. It is observed that the latter surpasses the former. The proposed methods outclass state-of-the-art techniques for content-based image identification and show an average increase in precision of 17.71% and 22.78% for classification and retrieval, respectively. Three public datasets - Wang; Oliva and Torralba (OT-Scene); and Corel - are used for verification purposes. The research findings are statistically validated by conducting a paired t-test.

• 한국전기전자재료학회:학술대회논문집
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• 한국전기전자재료학회 2000년도 하계학술대회 논문집
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• pp.585-591
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• 2000

The wavelet transform is the most recent technique for processing signals with time-varying spectra. In this paper, the wavelet transform is utilized to improved the assessment and multi-resolution analysis of acoustic emission signals generating in partial discharge. This paper especially deals with the assessment of process statistical parameter using the features extracted from the wavelet coefficients of measured acoustic emission signals in case of applied voltage 20[kv]. Since the parameter assessment using all wavelet coefficients will often turn out leads to inefficient or inaccurate results, we selected that level-3 stage of multi decomposition in discrete wavelet transform. We applied FIR(Finite Impulse Response)digital filter algorithm in discrete to suppression for random noise. The white noise be included high frequency component denoised as decomposition of discrete wavelet transform level-3. We make use of the feature extraction parameter namely, maximum value of acoustic emission signal, average value, dispersion, skewness, kurtosis, etc. The effectiveness of this new method has been verified on ability a diagnosis transformer go through feature extraction in stage of acting(the early period, the last period) .

• Journal of Korean Dental Science
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• 제16권2호
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• pp.204-210
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• 2023

Lesch-Nyhan syndrome is a rare X-linked recessive disorder characterized by a deficiency of the enzyme hypoxanthine-guanine phosphoribosyl transferase, which is important in the metabolism of purines. Prevalence of Lesch-Nyhan syndrome is 1:100,000 to 1:380,000 live births, and Lesch-Nyhan syndrome mainly affects males. It is characterized by neurologic dysfunction, uric acid overproduction, and cognitive and behavioral disturbances. The self-mutilation is the most distinctive symptom in Lesch-Nyhan syndrome, appearing about 1 year of age. It is expressed as persistent bites in the oral mucosa, tongue, lips, and fingers, which leads to the total or partial destruction of the affected tissues. Several medical and dental management methods might be performed in Lesch-Nyhan syndrome patients. Dental approaches to prevent injuries caused by self-mutilation include treatments with oral appliances such as mouth guards or lip bumpers, extraction, and orthognathic surgery. This report described two brothers with Lesch-Nyhan syndrome, who injured themselves on oral tissues. The methods of tooth reduction and extraction were performed to prevent injuries caused by self-mutilation.

• 구강회복응용과학지
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• 제32권1호
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• pp.80-86
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• 2016

잔존 지대치의 수가 적은 경우 이중관 가철성 국소의치를 사용한 여러 보고에서 우수한 결과가 나타남을 확인할 수 있다. 특히 치주 상태가 양호하지 않고 고립된 소수 잔존치를 지대치로 이용하여 국소의치로 수복해야 하는 경우에 프릭션핀을 이용한 하이브리드 텔레스코픽 이중관은 적절한 적응증이 될 수 있다. 본 증례는 심한 치주염으로 다수 치아 발치 후 상악은 전치부 고정성 보철 수복과 Kennedy class I 가철성 국소의치로 수복하고 하악은 양측성 고립 지대치만 남아있어 클래스프 국소의치로 수복하기에 예후가 불분명하여 프릭션핀을 이용한 하이브리드 텔레스코픽 이중관 국소의치를 이용하였다. 이중관 가철성 국소의치의 특성과 효용성을 고찰해 보고자 본 증례를 보고한다.