• 제목/요약/키워드: chemical communication

검색결과 519건 처리시간 0.026초

Temperature Dependence on Structural, Tribological, and Electrical Properties of Sputtered Conductive Carbon Thin Films

  • Park, Yong-Seob;Hong, Byung-You;Cho, Sang-Jin;Boo, Jin-Hyo
    • Bulletin of the Korean Chemical Society
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    • 제32권3호
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    • pp.939-942
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    • 2011
  • Conductive carbon films were prepared at room temperature by unbalanced magnetron sputtering (UBMS) on silicon substrates using argon (Ar) gas, and the effects of post-annealing temperature on the structural, tribological, and electrical properties of carbon films were investigated. Films were annealed at temperatures ranging from $400^{\circ}C$ to $700^{\circ}C$ in increments of $100^{\circ}C$ using a rapid thermal annealing method by vacuum furnace in vacuum ambient. The increase of annealing temperature contributed to the increase of the ordering and formation of aromatic rings in the carbon film. Consequently, with increasing annealing temperature the tribological properties of sputtered carbon films are deteriorated while the resistivity of carbon films significantly decreased from $4.5{\times}10^{-3}$ to $1.0{\times}10^{-6}\;{\Omega}-cm$ and carrier concentration as well as mobility increased, respectively. This behavior can be explained by the increase of sp2 bonding fraction and ordering $sp^2$ clusters in the carbon networks caused by increasing annealing temperature.

구리 박막 CMP의 실시간 end point detection을 위한 데이터 정밀도 개선 방법에 관한 연구 (A Study of Data correction method when in-situ end point detection in Chemical-Mechanical Polishing of Copper Overlay)

  • 김남우;허창우
    • 한국정보통신학회논문지
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    • 제18권6호
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    • pp.1401-1406
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    • 2014
  • 반도체소자의 제조 공정 기술 중 구리패턴을 얻기 위해서 사용하는 화학 기계적 연마(CMP)를 이용한 평탄화와 연마 공정에서 Wafer에 도포된 구리의 두께를 실시간으로 측정하여 정밀하게 제어할필요가 있는데, 이때 획득되는 센서값을 실제 두께 값으로 환산하는 계산과정에서 오차가 발생할 수 있다. 실제 측정 값에 근사한 값을 얻도록 단순평균을 이용한 방법, 이동 평균, 필터 들을 사용하여 결과를 비교하여 옹고스트롬 단위의 두께를 실시간으로 측정하는 제어 시스템의 편차를 줄이도록 하는 방법의 구현에 대해 기술한다.

코로나 대전 특성을 이용한 FRP의 표면 열화메커니즘의 해석 (The Analysis of Surface Degradation Mechanism on PRP(epoxy/glass fiber) by Corona Charging Properties)

  • 이백수;임경범;정의남;박종관;이덕출
    • 대한전기학회논문지:전기물성ㆍ응용부문C
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    • 제48권5호
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    • pp.373-378
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    • 1999
  • In order to analyse the degradation mechanism of polymer materials for outdoor condition, FRP laminate was exposed to high temperature and ultraviolet rays. Then, thedegradation process was evaluated by comparing contact angle, surface potential decay, and polarity effect respectively. Especially, the analysis of surface degradation phenomena by corona charging method showed the exact correlation with the result of chemical properties. Therefore we can confirm that the application of corona charging method on the identification of degradation process is very useful. If this method is usedin degradation studies on the polymer surface, it will be more effective on the surface analysis of polymer insulators. With corona charging method and chemical spectrum analysis, it was possible concretely to define degradation process on the polymer surface exposed at the situation of different environmental conditions.

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태양전지용 CdS 박막의 구조적 및 광학적 특성에 미치는 반응용액의 pH 영향 (Effects of pH of Reaction Solution on the Structural and Optical Properties of CdS Thin Films for Solar Cell Applications)

  • 이재형
    • 한국전기전자재료학회논문지
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    • 제24권8호
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    • pp.616-621
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    • 2011
  • In this paper, CdS thin films, which were widely used window layer of the CdTe and the Cu(In,Ga)$Se_2$ thin film solar cell, were grown by chemical bath deposition, and effects of pH of reaction solution on the structural and optical properties were investigated. For pH<10.5, as the pH of reaction solution was higher, the deposition rate of CdS films was increased by improving ion-by-ion reaction in the substrate surface and the crystallinity of the films was improved. However, when the pH was higher than 10.5, the deposition rate was decreased because of smaller $Cd^{2+}$ ion concentration in the reaction solution. Also, the crystallinity of the films were deteriorated. The CdS films deposited at lower pH showed poor optical transmittance due to adsorbed colloidal particles, while the transmittance was improved for higher pH.

Transmission Electron Microscopy on Memristive Devices: An Overview

  • Strobel, Julian;Neelisetty, Krishna Kanth;Chakravadhanula, Venkata Sai Kiran;Kienle, Lorenz
    • Applied Microscopy
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    • 제46권4호
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    • pp.206-216
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    • 2016
  • This communication is to elucidate the state-of-the-art of techniques necessary to gather information on a new class of nanoelectronic devices known as memristors and related resistive switching devices, respectively. Unlike classical microelectronic devices such as transistors, the chemical and structural variations occurring upon switching of memristive devices require cutting-edge electron microscopy techniques. Depending on the switching mechanism, some memristors call for the acquisition of atomically resolved structural data, while others rely on atomistic chemical phenomena requiring the application of advanced X-ray and electron spectroscopy to correlate the real structure with properties. Additionally, understanding resistive switching phenomena also necessitates the application not only of pre- and post-operation analysis, but also during the process of switching. This highly challenging in situ characterization also requires the aforementioned techniques while simultaneously applying an electrical bias. Through this review we aim to give an overview of the possibilities and challenges as well as an outlook onto future developments in the field of nanoscopic characterization of memristive devices.

PECVD에 의한 질화 실리콘 박막의 증착 (Deposition of a-SiN:H by PECVD)

  • 허창우
    • 한국정보통신학회논문지
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    • 제11권11호
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    • pp.2095-2099
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    • 2007
  • 본 연구에서는 LCD, 이미지 센서 등의 개별 소자인 비정질 실리콘 박막 트랜지스터에서 게 이트 유전층 및 절연층으로 사용되는 비정질 질화 실리콘 박막을 사일랜($SiH_4$) 및 암모니아가스를 사용해서 PECVD(Plasma Enhanced Chemical Vapor Deposition) 진공 증착장비로 최적의 비정질질화실리콘 박막 증착 조건을 확립한다. 먼저 반응실의 진공도, rf 전력, $SiH_4$ 및 질소 그리고 암모니아가스의 flow rate를 변화시키면서 형성된 박막의 특성을 조사한다. 계속해서 다른 변수를 고정시킨 상태에서 rf 전력을 변화시키고 다음에는 반응실의 진공도 등을 변화시켜 최적의 증착조건을 확립한다. 이렇게 확립된 증착조건을 사용하여 비정질질화실리콘박막을 제작하여 특성을 측정한 결과 우수한 성능을 나타냈음을 확인하였다.

First Bipropellant Propulsion System for Spacecraft in Korea

  • Han, Cho-Young;Chae, Jong-Won;Park, Eung-Sik;Baek, Myung-Jin
    • 한국추진공학회:학술대회논문집
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    • 한국추진공학회 2008년 영문 학술대회
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    • pp.307-310
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    • 2008
  • In the framework of COMS(Communication, Ocean and Meteorological Satellite) programme, the first bipropellant propulsion system for GEO satellite has been developed successfully. So far Korea has its own experience of development of a monopropellant propulsion system for LEO satellites, i.e., KOMPSAT's. Other types of propulsion systems for a satellite, such as cold gas and electric propulsion etc., are being developed somewhere in Korea, however they are not commercialised yet, apart from those two systems aforementioned. This paper mainly focused on the design of the Chemical Propulsion System(CPS) for the COMS, joint scientific and communications satellite. It includes descriptions of the general system design and a summary of the supporting analysis performed to verify suitability for space flight. Essentially it provides an overview and guide to the various engineering rationale generated in support of the COMS CPS design activities. The manufacture and subsequent testing of COMS CPS are briefly discussed. Feasibility of COMS CPS to an interplanetary mission is proposed as well.

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Toward Practical Augmentation of Raman Spectra for Deep Learning Classification of Contamination in HDD

  • Seksan Laitrakun;Somrudee Deepaisarn;Sarun Gulyanon;Chayud Srisumarnk;Nattapol Chiewnawintawat;Angkoon Angkoonsawaengsuk;Pakorn Opaprakasit;Jirawan Jindakaew;Narisara Jaikaew
    • Journal of information and communication convergence engineering
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    • 제21권3호
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    • pp.208-215
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    • 2023
  • Deep learning techniques provide powerful solutions to several pattern-recognition problems, including Raman spectral classification. However, these networks require large amounts of labeled data to perform well. Labeled data, which are typically obtained in a laboratory, can potentially be alleviated by data augmentation. This study investigated various data augmentation techniques and applied multiple deep learning methods to Raman spectral classification. Raman spectra yield fingerprint-like information about chemical compositions, but are prone to noise when the particles of the material are small. Five augmentation models were investigated to build robust deep learning classifiers: weighted sums of spectral signals, imitated chemical backgrounds, extended multiplicative signal augmentation, and generated Gaussian and Poisson-distributed noise. We compared the performance of nine state-of-the-art convolutional neural networks with all the augmentation techniques. The LeNet5 models with background noise augmentation yielded the highest accuracy when tested on real-world Raman spectral classification at 88.33% accuracy. A class activation map of the model was generated to provide a qualitative observation of the results.

MobileNetV3 기반 요검사 서비스 어플리케이션 구현 (Implementation of Urinalysis Service Application based on MobileNetV3)

  • 박기조;최승환;김경석
    • 한국인터넷방송통신학회논문지
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    • 제23권4호
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    • pp.41-46
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    • 2023
  • 인체 소변은 혈액 내의 노폐물을 배출하는 과정으로 채취가 쉽고 다양한 물질들이 포함되어 있습니다. 요검사는 이를 통해 질병, 건강상태, 요로 감염 여부 등을 확인하는 용도로 사용됩니다. 요검사에는 물리적 성상 검사, 화학적 검사, 현미경 검사의 세 가지 방법이 있으며, 화학적 검사는 요검사지를 사용하여 쉽게 결과를 확인할 수 있다. 요검사지에는 다양한 항목들을 검사할 수 있으며, 이를 통해 다양한 질병들을 확인할 수 있다. 최근 스마트폰의 보급으로 스마트폰을 이용한 요검사지 판독 연구가 진행되고 있다. 스마트폰을 이용하여 요검사지의 색 변화를 감지하고 판독하는 방법이 있다. 이러한 방법은 RGB값과 색 차이 공식을 사용하여 판별한다. 그러나 다양한 환경 요인으로 인해 정확도가 떨어지는 문제가 있다. 본 논문은 이러한 문제를 해결하기 위해 딥러닝 모델을 적용한다. 특히, 경량화된 CNN(Convolutional Neural Networks) 모델을 사용하여 스마트폰 내에서 요검사지의 색 판별을 개선한다. CNN은 이미지 인식과 패턴 찾기에 유용한 모델로, 경량화된 버전도 사용 가능하다. 이를 통해 스마트폰에서 딥러닝 모델을 운영하고 정확한 요검사지 결과를 추출할 수 있다. 요검사지는 다양한 환경에서 촬영하여 딥러닝 모델 학습 이미지를 준비 하였으며 MobileNet V3을 사용하여 요검사 서비스 어플리케이션을 설계하였다.

사물인터넷 기술을 이용한 가스상 물질 측정용 스마트센서 개발과 향후과제 (Development of an IoT Smart Sensor for Detecting Gaseous Materials)

  • 김욱;김영교;유연선;정기효;최원준;이완형;강성규;함승헌
    • 한국산업보건학회지
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    • 제32권1호
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    • pp.78-88
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    • 2022
  • Objectives: To develop the smart sensor to protect worker's health from chemical exposure by adopting ICT (Information and Communications Technology) technologies. Methods: To develope real-time chemical exposure monitoring system, IoT (Internet of Things) sensor technology and regulations were reviewed. We developed and produced smart sensor. A smart sensor is a system consisting of a sensor unit, a communication unit, and a platform. To verify the performance of smart sensors, each sensor has been certified by the Korea Laboratory Accreditation Scheme (KOLAS). Results: Chemicals (TVOC; Total Volatile Organic Compounds, Cl2: Chlorine, HF: Hydrogen fluoride and HCN: Hydrogen cyanide) were selected according to a priority logic (KOSHA Alert, acute poisoning statistics, literature review). Notifications were set according to OEL (occupational exposure limit). Sensors were selected based on OEL and the capabilities of the sensors. Communication is designed to use LTE (Long Term Evolution) and Wi-Fi at the same time for convenience. Electronic platform were applied to build this monitoring system. Conclusions: Real-time monitoring system for OEL of hazardous chemicals in workplace was developed. Smart sensor can detect chemicals to complement monitoring of traditional workplace environmental monitoring such as short term and peak exposure. Further research is needed to expand the scope of application, improve reliability, and systematically application.