• 제목/요약/키워드: Digital fourier transform

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Surface and Chemical Properties of Surface-modified UHMWPE Powder and Mechanical Properties of Self Curing PMMA Bone Cement Containing UHMWPE Powder I. Effect of MMA/Xylene Contents on Surface Modification of UHMWPE (표면개질된 초고분자량 폴리에틸렌 분말의 표면과 화학적 특성 및 이를 함유하는 상온 경화용 폴리(메틸 메타크릴레이트) 뼈 시멘트의 기계적 특성 I. 메틸 메타크릴레이트/자일렌 함량에 따른 초고분자량 폴리에틸렌의 표면 개질 효과)

  • 양대혁;윤관희;김순희;이종문;강길선
    • Polymer(Korea)
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    • v.28 no.1
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    • pp.77-85
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    • 2004
  • It has been widely used ultra high molecular weight polyethylene (UHMWPE) for the biomaterials due to its excellent mechanical properties and biocompatibility. In the case of blend of UHMPE with another polymeric biomaterials, however, UHMWPE might have low blend compatibility due to surface inertness. In this study, in order to improve the mechanical properties of poly(methyl methacrylate) (PMMA) bone cement by means of the impregnation of UHMWPE powder, we developed the novel surface modification method by the mixture of methyl methacrylate (MMA) and xylene. We investigated the variation of composition of MMA/xylene. It was confirmed by the analysis of Fourier transform infrared-attenuated total reflectance, scanning electron microscope, universal transverse mercator, and digital thermometer. The maximum mechanical strength of surface modified UHMWPE powder impregnated PMMA bone cement compound was observed the ratio of 1 : 1 (v/v%) MMA/xylene. Also its curing temperature decreased from 103 $^{\circ}C$ to 58 ∼ 73 $^{\circ}C$ The mechanism of surface modification of UHMWPE powder by the mixture of MMA/xylene has been proposed.

Extraction of Moho Undulation of the Korean Peninsula from Gravity Anom-alies (중력이상을 이용한 한반도 모호면 추출에 관한 연구)

  • 김정우;조진동;김원균;민경덕;황재하;이윤수;박찬홍;권재현;황종선
    • Economic and Environmental Geology
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    • v.36 no.3
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    • pp.213-223
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    • 2003
  • We estimated the Moho depth of Korean Peninsula from gravity anomalies and digital elevation model. The satellite radar altimetry-derived global free-air gravity model was used to ensure the homogeneity in both data and frequency domains of the original data. Two different methods were implemented to calculate the Moho depth; the wavenumber correlation analysis (Kim et al., 2000a) and the power spectrum analysis. The former method calculates depth-to-the-Moho by correlating topographic gravity effect with free-air gravity anomaly in the wavenumber domain under the assumption that the study area is not isostatically compensated. The latter one, on the other hand, considers the different density layers (i.e., Conrad and Moho), using complete Bouguer gravity anomaly in the Frequency domain of the Fourier transform. The correlation coefficient of the two Moho model is 0.53, and methodology and numerical error are mainly responsible for any mismatch between the two models. In order to integrate the two independentely-estimated models, we applied least-squares adjustment using the differenced depth. The resultant model has mean and standard deviation Moho depths of 32.0 km and 2.5 km with (min, max) depths of (20.3, 36.6) kms. Although this result does not include any topographic gravity effect, however, the validity of isostasy and the role of local stress field in the study area should be further studied.

Development of depression diagnosis system using EEG signal (뇌파 측정 신호를 이용한 우울증 진단장치 개발)

  • Kim, Kyu-Sung;Jung, Ju-Hyeon;Lee, Woo-Cheol
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.18 no.12
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    • pp.452-458
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    • 2017
  • In this study, a device was developed for diagnosing depression using EEG signals from July 2016 to June 2017. For normal people, the left alpha rhythm is more activated than the right alpha rhythm, but for the depressed patients, the right alpha rhythm is more activated than the left one. An analog circuit and digital low pass filter were used for noise removal and amplification of EEG, and the Hamming window function was applied to eliminate the signal leakage generated by the fast Fourier transform. To verify the validity of the developed diagnosis system, the EEG of 20 university students in the 3rd and 4th grade with an average age of 24 years was measured. Calculations of the relative value of the left and right alpha rhythm for the depression diagnosis revealed a minimum, maximum, and mean value of 66.7, 113.3, and 92.2, respectively. In addition, 7 out of 20 subjects were between 90 and 95, and those with a higher mean deviation of approximately 20 tended to have mild depression. These results can provide meaningful data for the development of depression treatment equipment by solving the left and right brain asymmetry problem, and it may be applied usefully to diagnose depression after clinical trials on a large number of depressed patients.