• Title/Summary/Keyword: Optical Component

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광 주파수 빗으로부터 단일 광 주파수 성분의 선택적 추출 (Selective Extraction of a Single Optical Frequency Component from an Optical Frequency Comb)

  • 문한섭
    • 한국광학회지
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    • 제34권6호
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    • pp.225-234
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    • 2023
  • 모드 잠금 레이저는 주기성을 가지고 짧은 시간 동안 레이저 출력이 펄스로 동작한다. 그러나 시간-주파수 영역에서 모드 잠금된 펄스 레이저의 펄스 반복률의 주기성은 푸리에 변환으로 일정한 주파수 간격을 가진 광 주파수 빗과 같이 이해된다. 이때 광 주파수 빗의 각 주파수 성분은 연속적으로 발진하는 수십만 개의 단일 주파수 성분을 가진 continuous-wave 레이저들과 같다. 광 주파수 빗은 약 20년 전에 개발되어 세계에서 가장 정밀한 원자 시계의 개발을 가능케 하고 안정된 광 주파수를 정밀하게 전송하는 데에 사용되었으며, 다양한 응용연구로도 발전했다. 본 논문에서는 광 주파수 빗의 단일 주파수 구성 요소를 선택적으로 추출하고, 광 빗의 주파수 구성 요소를 제어하는 연구를 소개한다. 또한 광 주파수 빗의 개념과 원리를 해설함으로써 시간-주파수 도메인에서 빛의 특성을 이해하고, 광 주파수 빗을 활용한 다양한 응용 연구를 개발하는 데 도움을 주고자 한다.

Experimental Demonstration and Analytic Derivation of Chromatic Dispersion Monitoring Technique Based on Clock-frequency Component

  • Kim, Sung-Man
    • Journal of the Optical Society of Korea
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    • 제16권3호
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    • pp.215-220
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    • 2012
  • In an earlier work, we proposed the chromatic dispersion monitoring technique of non-return to zero (NRZ) signal based on clock-frequency component (CFC) through numerical simulations. However, we have not yet shown any experimental demonstration or analytic derivation of it. In this paper, we show an experimental demonstration and analytic derivation of the proposed chromatic dispersion monitoring technique. We confirm that the experimental results and the analytic results correspond with the simulation results. We also demonstrate that monitoring range and accuracy can be improved by using a simple clock-extraction method.

Modified Principal Component Analysis for Real-Time Endpoint Detection of SiO2 Etching Using RF Plasma Impedance Monitoring

  • 장해규;김대경;채희엽
    • 한국진공학회:학술대회논문집
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    • 한국진공학회 2011년도 제40회 동계학술대회 초록집
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    • pp.32-32
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    • 2011
  • Plasma etching is used in microelectronic processing for patterning of micro- and nano-scale devices. Commonly, optical emission spectroscopy (OES) is widely used for real-time endpoint detection for plasma etching. However, if the viewport for optical-emission monitoring becomes blurred by polymer film due to prolonged use of the etching system, optical-emission monitoring becomes impossible. In addition, when the exposed area ratio on the wafer is small, changes in the optical emission are so slight that it is almost impossible to detect the endpoint of etching. For this reason, as a simple method of detecting variations in plasma without contamination of the reaction chamber at low cost, a method of measuring plasma impedance is being examined. The object in this research is to investigate the suitability of using plasma impedance monitoring (PIM) with statistical approach for real-time endpoint detection of $SiO_2$ etching. The endpoint was determined by impedance signal variation from I-V monitor (VI probe). However, the signal variation at the endpoint is too weak to determine endpoint when $SiO_2$ film on Si wafer is etched by fluorocarbon plasma on inductive coupled plasma (ICP) etcher. Therefore, modified principal component analysis (mPCA) is applied to them for increasing sensitivity. For verifying this method, detected endpoint from impedance analysis is compared with optical emission spectroscopy (OES). From impedance data, we tried to analyze physical properties of plasma, and real-time endpoint detection can be achieved.

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Compound Explosives Detection and Component Analysis via Terahertz Time-Domain Spectroscopy

  • Choi, Jindoo;Ryu, Sung Yoon;Kwon, Won Sik;Kim, Kyung-Soo;Kim, Soohyun
    • Journal of the Optical Society of Korea
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    • 제17권5호
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    • pp.454-460
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    • 2013
  • We present qualitative and quantitative component analyses on compound explosives via Terahertz time-domain spectroscopy (THz-TDS) based on a combination of wavelet thresholding and wavelength selection. Despite its importance, the field of signal processing of THz signals of compound plastic explosives is relatively unexplored. In this paper, experiment results from explosives Composition B-3 and Pentolite are newly presented, suggesting a novel signal processing procedure for in situ compound explosives detection. The proposed signal processing method demonstrates effective component analysis even in noisy and humid environments, showing significant decrease in component concentration percentage error of approximately 22.7% for Composition B-3 and 48.8% for Pentolite.

파장 변환기를 이용한 광버퍼의 설계 및 구현 (Design and Implementation of a optical buffer using optical wavelength converters)

  • 황현용;곽동용
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2003년도 통신소사이어티 추계학술대회논문집
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    • pp.109-112
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    • 2003
  • Wavelength division multiplexing technology is a promising solution for the next generation optical networks. Optical buffer is a key component for optical packet switching system. It can be used to hold optical packets and to resolve the contention of optical packets. In this paper, we implemented a optical buffer using optical wavelength converters and demonstrated that optical packets are delayed successfully.

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Implementation of Optical neural Netwoks Based on Parallel rank-One Interconnections and Time Integration

  • Jeon, Ho-In;Choi, Jin-San;Shin, Chang-Min;Kang, Yo-Sik;Jung, Nak-Hee
    • 한국광학회:학술대회논문집
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    • 한국광학회 1998년도 제15회 광학 및 양자전자 학술발표회 논문집
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    • pp.220-221
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    • 1998
  • An optical implementation of higher order neural networks based on based principal component analysis and time integration has been described. The principal component analysis combined with time integration allows larger input size than fully spatial neural networks at the cost certain amount of time consumption. This time-integration usage actually breaks down the barrier of the maximum space-bandwidth product that optical systems can offer.

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Optical Emission Spectra 신호와 다변량분석기법을 통한 Fluorocarbon에 의해 오염된 반응기의 RF 플라즈마 세정공정 진단 (RF Plasma Processes Monitoring for Fluorocarbon Polluted Plasma Chamber Cleaning by Optical Emission Spectroscopy and Multivariate Analysis)

  • 장해규;이학승;채희엽
    • 한국표면공학회:학술대회논문집
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    • 한국표면공학회 2015년도 추계학술대회 논문집
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    • pp.242-243
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    • 2015
  • Fault detection using optical emission spectra with modified K-means cluster analysis and principal component anal ysis are demonstrated for inductive coupl ed pl asma cl eaning processes. The optical emission spectra from optical emission spectroscopy (OES) are used for measurement. Furthermore, Principal component analysis and K-means cluster analysis algorithm is modified and applied to real-time detection and sensitivity enhancement for fluorocarbon cleaning processes. The proposed techniques show clear improvement of sensitivity and significant noise reduction when they are compared with single wavelength signals measured by OES. These techniques are expected to be applied to various plasma monitoring applications including fault detections as well as chamber cleaning endpoint detection.

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Self lighting 조사를 이용한 광기계식 접속자 (Mechanical splice Using Self lighting)

  • 최영복;박수진
    • 한국광학회:학술대회논문집
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    • 한국광학회 2008년도 하계학술발표회 논문집
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    • pp.179-180
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    • 2008
  • Optical Mechanical splice is essential component to construct for FTTH. Optical Mechanical splice is executed many countries' FTTH including Korea. In this paper, we have designed Optical Mechanical splice using UV and completed a series of mechanical and environmental tests on the optical Mechanical splice. And the results of tests and Bellcore-requirements for optical Mechanical splice will be presented. Accordingly, evaluation method of optical Mechanical splice has gained power to improve the quality and stability of it.

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의료용 플라스틱광섬유 센서 매트 (Sensor Mat using POF for Medical Application)

  • 최규남
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2007년도 심포지엄 논문집 정보 및 제어부문
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    • pp.363-365
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    • 2007
  • Novel concept of sensor mat and its signal processing method is proposed for patient monitoring in medical application. Proposed sensor mat structure has sensing inner layer which has cross-linked arrangement using plastic optical fiber(POF). Large core diameter of plastic optical fiber behaved as band pass filter by averaging the noise component. caused by unwanted environmental factors. Signal processor followed by sensor output added noise immune performance by filtering out unwanted component. Fail-proof patient breath monitoring scheme was realized by using intelligent decision algorithm. Unlike the conventional approach by using mechanical sensor, which have high sensitivity both to intruder and to environmental noise, our approach provided reliable breath motion detection.

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