• Transactions on Electrical and Electronic Materials
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• v.17 no.1
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• pp.41-45
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• 2016

The Cs₃Sb photocathode was formed by non-vacuum process technology and successive in-situ photocathode vacuum device fabrication carried out in a process chamber. Performance testing of the device was followed. Light emission from the devices was induced by photoemitted electrons, which were accelerated by an anode electric field that was shielded from the photoemitter surface. The luminescent characteristics of the devices were investigated by measuring the optical parameters as functions of the applied anode voltages. The results showed that this approach could produce a more easily directed and controlled stream of light. These features make these devices suitable for a variety of planar lighting applications.

• Transactions on Electrical and Electronic Materials
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• v.18 no.3
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• pp.176-179
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• 2017

Non-vacuum processing technology was used to produce $Cs_3Sb$ photocathodes on substrates and fabricate in-situ panel devices. Electrical properties of these panel devices were characterized by measuring anode current and charge dose as functions of devices operation time. An excitation light source with a 475 nm wavelength was used for photocathodes. Results showed that emission properties of these photocathode emitters depended heavily on the vacuum level of these devices and that $Cs_3Sb$ flat emitters had the potential of operating for a long lifetime with stable electron emission characteristics via re-cesiation process in the panel device. These features make $Cs_3Sb$ photocathodes suitable as flat emitters in panel device applications.

• Proceedings of the KSRS Conference
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• 2003.11a
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• pp.204-206
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• 2003

In order to utilize remote sensed images effectively, a lot of image classification methods are suggested for many years. But, the accuracy of traditional methods based on pixel-based classification is not high in general. In this study, object oriented classification based on image segmentation is used to classify Landsat images. A necessary prerequisite for object oriented image classification is successful image segmentation. Object oriented image classification, which is based on fuzzy logic, allows the integration of a broad spectrum of different object features, such as spectral values , shape and texture. Landsat images are divided into urban, agriculture, forest, grassland, wetland, barren and water in sochon-gun, Chungcheongnam-do using object oriented classification algorithms in this paper. Preliminary results will help to perform an automatic image classification in the future.

• Proceedings of the KSPS conference
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• 2005.11a
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• pp.59-62
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• 2005

Voice activity detection (VAD) is important in many areas of speech processing technology. Speech/nonspeech discrimination in noisy environments is a difficult task because the feature parameters used for the VAD are sensitive to the surrounding environments. Thus the VAD performance is severely degraded at low signal-to-noise ratios (SNRs). In this paper, a new VAD algorithm is proposed based on the degree of voicing and Quantile SNR (QSNR). These two feature parameters are more robust than other features such as energy and spectral entropy in noisy environments. The effectiveness of proposed algorithm is evaluated under the diverse noisy environments in the Aurora2 DB. According to out experiment, the proposed VAD outperforms the ETSI Advanced Frontend VAD.

• Korean Journal of Remote Sensing
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• v.18 no.5
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• pp.281-289
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• 2002

Although EOC data have been frequently used in several applications since the launch of the KOMPSAT-1 satellite in 1999, its radiometric characteristics are not clear due to the inherent limitations of the on-board calibration system. The radiometric characteristics of remotely sensed imagery can be measured by the sensitivity of radiant flux coming from various surface features on the earth. The objective of this study is to analyze the radiometric characteristics of EOC data by simulating the sensor- received radiance. Initially, spectral reflectance values of reference targets were measured on the ground by using a portable spectre-radiometer at the EOC spectrum. A radiative transfer model, LOWTRAN, then simulated the sensor-received radiance values of the same reference target. By correlating the digital number (DN) extracted from the EOC image to the corresponding radiance values simulated from LOWTRAN, we could find the radiometric calibration coefficients for EOC image. The radiometric gain coefficients of EOC are very similar to those of other panchromatic optical sensors.

• Bulletin of the Korean Chemical Society
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• v.15 no.9
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• pp.777-781
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• 1994

Three humic acids (HA) and one fulvic acid (FA) are extracted from soils of the Okch'on Basin (Koyesan, Yongkwang and Taejon), and are purified and characterized using $^1H,\;^{13}C$ NMR, and IR spectroscopic methods. The results are compared with one another and with commerical humic acid (Aldrich Co) and aquatic humic acid from Gorleben underground aquifer in Germany. The IR and $^1H\;and\;^{13}C$ NMR spectral features are found to be nearly identical, suggesting that humic substances formed in the Okch'on Basin have quite similar chemical properties. These humic substances from Okch'on Basin soils have undergone low degree of aromatic condensation and have high contents of aliphatic functionalities including carbohydrates.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2019.06a
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• pp.156-157
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• 2019

본 논문에서는 스파이크그램 기반의 주파수 및 시간 특성을 이용한 음속 인식 방법을 제안한다. 기존의 MFCC 특성은 프레임 단위의 평균 특성이기 때문에 시간 해상도가 낮고, 짧은 음소의 특성을 반영하기에는 어렴움이 있다. 반면, 스파이크그램은 청각 모델을 기반으로 샘플 단위로 계산하기 때문에높은 시간 해상도를 가진다. 고 해상도의 스파이크그램을 분석하면 음소 인식에 특화된 특성 벡터를 추출할 수 있다. 추출된 특성으로 심층 신경망을 학습시켜 음소 인식기를 구현하였고, TMIT 테이터 세트로 성능을 평가하였다. 성능 평가를 통하여 스파이크그램 기반의 새로운 시간-주파수 특성을 사용하여 MFCC 특성과 유사한 성능의 음소인식이 가능한 것을 확인하였다.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2018.06a
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• pp.49-50
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• 2018

본 논문에서는 음악 장르 분류를 위한 시간 및 주파수 기반 스파이크그램 특성 추출 기술을 제안한다. 기존의 음악 장르 분류 시스템에서는 푸리에 변환 기반의 입력 특성을 주로 사용해 왔다. 푸리에 변환은 시간 축에서 프레임 단위로 평균적인 주파수 정보를 취하므로 낮은 시간 해상도를 갖지만, 스파이크그램은 샘플 단위의 주파수 정보를 갖고 있어 고해상도의 특성을 추출할 수 있다. 제안하는 기술은 이러한 시간 기반 특성을 추출하여 주파수 기반 특성 및 SNR 특성과 함께 심층 신경망의 입력으로 사용한다. 제안하는 특성을 사용하여 시간 기반 특성을 사용하지 않은 기존 스파이크그램 특성 기반 분류기의 성능을 개선하였으며, 다른 특성 및 분류기에 비해 적은 수의 특성 입력으로도 우수한 성능을 얻는 것을 확인하였다.

• Bulletin of the Korean Mathematical Society
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• v.58 no.1
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• pp.71-111
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• 2021

We consider the boundary value problem for the deflection of a finite beam on an elastic foundation subject to vertical loading. We construct a one-to-one correspondence �� from the set of equivalent well-posed two-point boundary conditions to gl(4, ℂ). Using ��, we derive eigenconditions for the integral operator ��M for each well-posed two-point boundary condition represented by M ∈ gl(4, 8, ℂ). Special features of our eigenconditions include; (1) they isolate the effect of the boundary condition M on Spec ��M, (2) they connect Spec ��M to Spec ����,α,k whose structure has been well understood. Using our eigenconditions, we show that, for each nonzero real λ ∉ Spec ����,α,k, there exists a real well-posed boundary condition M such that λ ∈ Spec ��M. This in particular shows that the integral operators ��M, arising from well-posed boundary conditions, may not be positive nor contractive in general, as opposed to ����,α,k.

• Proceedings of the PSK Conference
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• 2003.10b
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• pp.220.2-220.2
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• 2003

Many interference in blood should be considered for non-invasive blood glucose level monitoring by near-infrared spectroscopy because blood glucose concentration is about 0.1% (w/v) in normal state. In this study, we investigated the influence of other blood components on blood glucose level monitoring by near-infrared spectroscopy. It carried out by newly developed portable type-NIR system (1100∼2200 nm). Spectrum features of NIR diffuse spectral data were investigated for some blood compnents powder such as hemoglobin, blood serum albumin, urea, uric acid, ascorbate, glucose, cholesterol and as adding glucose powder into other blood components powder mixture. (omitted)