• 제목/요약/키워드: Hybrid sensing

검색결과 149건 처리시간 0.026초

Ag/ZnO-rGO 하이브리드 나노구조 기반 C2H2 가스센서의 제작과 그 특성 (Fabrication of C2H2 Gas Sensors Based on Ag/ZnO-rGO Hybrid Nanostructures and Their Characteristics)

  • 이관우;정귀상
    • 센서학회지
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    • 제24권1호
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    • pp.41-46
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    • 2015
  • In this work, pure hierarchical ZnO structure was prepared using a simple hydrothermal method, and Ag nanoparticles doped hierarchical ZnO structure was synthesized uniformly through photochemical route. The reduced graphene oxide (rGO) has been synthesized by typical Hummer's method and reduced by hydrazine. Prepared Ag/ZnO nanostructures are uniformly dispersed on the surface of rGO sheets using ultrasonication process. The synthesized samples were characterized by SEM, TEM, EDS, XRD and PL spectra. The average size of prepared ZnO microspheres was around $2{\sim}3{\mu}m$ and showed highly uniform. The average size of doped-Ag nanoparticles was 50 nm and decorated into ZnO/rGO network. The $C_2H_2$ gas sensing properties of as-prepared products were investigated using resistivity-type gas sensor. Ag/ZnO-rGO based sensors exhibited good performances for $C_2H_2$ gas in comparison with the Ag/ZnO. The $C_2H_2$ sensor based on Ag/ZnO-rGO had linear response property from 3~1000 ppm of $C_2H_2$ concentration at working temperature of $200^{\circ}C$. The response values with 100 ppm $C_2H_2$ at $200^{\circ}C$ were 22% and 78% for Ag/ZnO and Ag/ZnO-rGO, respectively. In additions, the sensor still shows high sensitivity and quick response/recovery to $C_2H_2$ under high relative humidity conditions. Moreover, the device shows excellent selectivity towards to $C_2H_2$ gas at optimal working temperature of $200^{\circ}C$.

금속층에 기반한 격자구조형 고성능 플라즈마 바이오센서 (High-Performance Plasmon Bio-Sensor with Grating Profile based on Metallic Layer)

  • 호광춘
    • 한국인터넷방송통신학회논문지
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    • 제22권3호
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    • pp.145-150
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    • 2022
  • 금속 격자를 통한 광전송을 분석하기 위하여 모드 전송선로 이론 (MTLT)에 기반한 해석 모델을 제안하였다. 이 모델은 높은 전송을 담당하는 모드의 분산 관계뿐만 아니라 전송에 대한 물리적 의미를 잘 제공한다. 이러한 개념들은 표면 플라즈몬 폴라리톤 (SPP)이 여기되는 가시광선~근적외선 파장 범위에서 사용되는 실제 금속에 대해서도 정확한 정보를 제공한다. 또한, 그 분산 관계를 통하여 전송 모드의 특성을 평가할 수 있다. 그 전송 모드는 Fabry-Pérot 유사 모드와 SPP 사이의 하이브리드 모드이다. 그 하이브리드 모드의 특성을 결정하기 위하여 금속격자의 다른 격자주기와 격자비율 고려하는 것이 중요하다. 본 논문에서는 이러한 변수들에 의존하는 고성능 플라즈마 바이오센서의 감지 특성과 모드 전송 현상을 명확하게 분석하였다.

Hybrid machine learning with mode shape assessment for damage identification of plates

  • Pei Yi Siow;Zhi Chao Ong;Shin Yee Khoo;Kok-Sing Lim;Bee Teng Chew
    • Smart Structures and Systems
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    • 제31권5호
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    • pp.485-500
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    • 2023
  • Machine learning-based structural health monitoring (ML-based SHM) methods are researched extensively in the recent decade due to the availability of advanced information and sensing technology. ML methods are well-known for their pattern recognition capability for complex problems. However, the main obstacle of ML-based SHM is that it often requires pre-collected historical data for model training. In most actual scenarios, damage presence can be detected using the unsupervised learning method through anomaly detection, but to further identify the damage types would require prior knowledge or historical events as references. This creates the cold-start problem, especially for new and unobserved structures. Modal-based methods identify damages based on the changes in the structural global properties but often require dense measurements for accurate results. Therefore, a two-stage hybrid modal-machine learning damage detection scheme is proposed. The first stage detects damage presence using Principal Component Analysis-Frequency Response Function (PCA-FRF) in an unsupervised manner, whereas the second stage further identifies the damage. To solve the cold-start problem, mode shape assessment using the first mode is initiated when no trained model is available yet in the second stage. The damage identified by the modal-based method would be stored for future training. This work highlights the performance of the scheme in alleviating the cold-start issue as it transitions through different phases, starting from zero damage sample available. Results showed that single and multiple damages can be identified at an acceptable accuracy level even when training samples are limited.

생물학적 분석용 IMI 하이브리드 다중레이어 구조 기반 성능 향상된 표면 플라즈몬 공명 센서의 설계 및 특성 분석 (Design and Evaluation of IMI Multilayer Hybrid Structure-based Performance Enhanced Surface Plasmon Resonance Sensor for Biological Analysis)

  • 송혜린;안희상;김규정
    • 한국광학회지
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    • 제33권4호
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    • pp.177-186
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    • 2022
  • 표면 플라즈몬 공명 센서에서 센서의 성능은 민감도(nm/RIU)와 분해능인 공명 픽의 형태에 의해서 결정된다. 이러한 특성은 센서에 활용되는 구조체의 물질과 구조적 특성에 따라 달라진다. 본 연구에서는 insulator-metal-insulator (IMI) 다중 층 구조를 기반으로 한 표면 플라즈몬 공명 센서 구조의 최적화 과정을 통해 센싱 레이어의 굴절률 변화에 대한 높은 민감도 달성과 동시에 좁은 full width at half maximum (FWHM)과 픽의 깊이 이 두 가지의 요소를 기반으로 한 분해능이 큰 공명 픽을 형성하도록 하는 구조를 찾았다. 이 구조를 통해 센싱 레이어의 굴절률이 1.45-1.46 범위에서 변화할 때 FWHM = 11.92 nm, 픽 깊이 93.1%의 공명 픽이 형성되었고 최대 8,390 nm/RIU의 민감도 성능을 확인했다. 특히 금 박막을 활용한 파장 기반의 표면 플라즈몬 센서는 공명 픽의 너비 확장이 발생하나 금 박막을 사용하고도 좁은 FWHM을 달성함에 의의가 있다. 본 연구에서 제안하는 다중 층 설계를 기반으로 한 센서는 미세한 굴절률 변화 값에 대한 높은 민감도와 더불어 높은 분해능을 가지는 파장 기반 표면 플라즈몬 센서로 활용 가능하다.

3차원 LTCC 기판을 이용한 압전 압력 센서의 제작 및 연구 특성

  • 허원영;황현석;우형관;이태용;이경천;심등;송준태
    • 한국전기전자재료학회:학술대회논문집
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    • 한국전기전자재료학회 2009년도 추계학술대회 논문집
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    • pp.118-118
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    • 2009
  • Low temperature co-fired ceramic (LTCC) is one of promising materials for MEMS structures because it has very good electrical and mechanical properties as well as possibility of making various three dimensional (3D) structures. In this work, piezoelectric pressure sensors based on hybrid LTCC technology were presented. The LTCC diaphragms with thickness of 400 um were fabricated by laminating 12 green tapes which consist of alumina and glass particle in an organic binder. The piezoelectric sensing layer consists of $Pb(ZrTi)O_3$ (PZT) thin film deposited by RF magnetron sputtering method on between top and bottom Au electrodes. The results showed that the fabrication method is very suitable for pressure sensor applications. The PZT films deposited on LTCC diaphragms were successfully grown and were analyzed by using X-ray diffraction method (XRD) and field emission scanning electron microscope (FESEM).

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IRS 위성영상을 이용한 절대위치 추정 (Absolute Position Estimation Using IRS Satellite Images)

  • 오영석;심동규;박래홍;김린철;이상욱
    • 대한전자공학회논문지SP
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    • 제38권5호
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    • pp.453-463
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    • 2001
  • 본 논문에서는 하이브리드 항법변수 추정 시스템의 일부분인 IRS 위성영상을 이용한 절대위치 추정기법을 다룬다. 빠른 에지 기반 정합을 위하여 accumulator cell로 이루어진 accumulated buffer (AB)를 이용한 정합방법을 제안하였다. 항공기에서 촬영한 두 가지 실제 연속 영상들을 이용한 실험 결과로부터 제안한 AB 정합 방법의 성능을 분석하고, 거리 오차 측면에서 전체 항법변수 추정 시스템에서의 절대위치 추정기법의 효율성을 보였다.

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DIAGNOSING CARDIOVASCULAR DISEASE FROM HRV DATA USING FP-BASED BAYESIAN CLASSIFIER

  • Lee, Heon-Gyu;Lee, Bum-Ju;Noh, Ki-Yong;Ryu, Keun-Ho
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2006년도 Proceedings of ISRS 2006 PORSEC Volume II
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    • pp.868-871
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    • 2006
  • Mortality of domestic people from cardiovascular disease ranked second, which followed that of from cancer last year. Therefore, it is very important and urgent to enhance the reliability of medical examination and treatment for cardiovascular disease. Heart Rate Variability (HRV) is the most commonly used noninvasive methods to evaluate autonomic regulation of heart rate and conditions of a human heart. In this paper, our aim is to extract a quantitative measure for HRV to enhance the reliability of medical examination for cardiovascular disease, and then develop a prediction method for extracting multi-parametric features by analyzing HRV from ECG. In this study, we propose a hybrid Bayesian classifier called FP-based Bayesian. The proposed classifier use frequent patterns for building Bayesian model. Since the volume of patterns produced can be large, we offer a rule cohesion measure that allows a strong push of pruning patterns in the pattern-generating process. We conduct an experiment for the FP-based Bayesian classifier, which utilizes multiple rules and pruning, and biased confidence (or cohesion measure) and dataset consisting of 670 participants distributed into two groups, namely normal and patients with coronary artery disease.

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INTRODUCTION OF COMS SYSTEM

  • Baek, Myung-Jin;Han, Cho-Young
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2006년도 Proceedings of ISRS 2006 PORSEC Volume I
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    • pp.56-59
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    • 2006
  • In this paper, Korea's first geostationary Communication, Ocean and Meteorological Satellte(COMS) program is introduced. COMS program is one of the Korea National Space Programs to develop and operate a pure civilian satellite of practical-use for the compound missions of meteorological observation and ocean monitoring, and space test of experimentally developed communication payload on the geostationary orbit. The target launch of COMS is scheduled at the end of 2008. COMS program is international cooperation program between KARI and ASTRIUM SAS and funded by Korean Government. COMS satellite is a hybrid satellite in the geostationary orbit, which accommodates multiple payloads of MI(Meteorological Imager), GOCI(Geostationary Ocean Color Imager), and the Ka band Satellite Communication Payload into a single spacecraft platform. The MI mission is to continuously extract meteorological products with high resolution and multi-spectral imager, to detect special weather such as storm, flood, yellow sand, and to extract data on long-term change of sea surface temperature and cloud. The GOCI mission aims at monitoring of marine environments around Korean peninsula, production of fishery information (Chlorophyll, etc.), and monitoring of long-term/short-term change of marine ecosystem. The goals of the Ka band satellite communication mission are to in-orbit verify the performances of advanced communication technologies and to experiment wide-band multi-media communication service mandatory.

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Estimation of sea level variations of the Java Sea during the ENSO period using the HYCOM

  • Sofian, Ibnu;Kozai, K.;Ohsawa, T.
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2006년도 Proceedings of ISRS 2006 PORSEC Volume II
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    • pp.744-747
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    • 2006
  • The sea level of the Java Sea is reproduced using HYbrid Coordinate Ocean Model (HYCOM) setting up in the horizontal grid from $100^{\circ}E$ to $125^{\circ}E$ and from $10^{\circ}S$ to $8^{\circ}N$. The model is initialized by ocean temperature and salinity profiles from Levitus 1998 and forced by the atmospheric field derived from NCEP reanalysis. In this research HYCOM is applied to explain the El $Ni{\tilde{n}}o$ Southern Oscillation (ENSO) impacts on the sea level of the Java Sea. The monthly tide gauge sea level data are produced based on hourly sea level data from 1993 to 1997. Altimeter sea level data are based on weekly merged products between TOPEX/Poseidon and ERS absolute dynamic topography (ADT). The simulated sea level both HYCOM and ADT agree well with the tide gauge sea level. The sea level of the Java Sea is high during the La $Ni{\tilde{n}}a$ period and low during the El $Ni{\tilde{n}}o$ period.

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Assembly of Biomimetic Peptoid Polymers

  • 남기태
    • 한국재료학회:학술대회논문집
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    • 한국재료학회 2011년도 춘계학술발표대회
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    • pp.10.2-10.2
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    • 2011
  • The design and synthesis of protein-like polymers is a fundamental challenge in materials science. A biomimetic approach is to explore the impact of monomer sequence on non-natural polymer structure and function. We present the aqueous self-assembly of two peptoid polymers into extremely thin two-dimensional (2D) crystalline sheets directed by periodic amphiphilicity, electrostatic recognition and aromatic interactions. Peptoids are sequence-specific, oligo-N-substituted glycine polymers designed to mimic the structure and functionality of proteins. Mixing a 1:1 ratio of two oppositely charged peptoid 36 mers of a specific sequence in aqueous solution results in the formation of giant, free-floating sheets with only 2.7 nm thickness. Direct visualization of aligned individual peptoid chains in the sheet structure was achieved using aberration-corrected transmission electron microscopy. Specific binding of a protein to ligand-functionalized sheets was also demonstrated. The synthetic flexibility and biocompatibility of peptoids provide a flexible and robust platform for integrating functionality into defined 2D nanostructures. In the later part of my talk, we describe the use of metal ions to construct two-dimensional hybrid films that have the ability to self-heal. Incubation of biomimetic peptoid polymers with specific divalent metal ions results in the spontaneous formation of uniform multilayers at the air-water interface. We anticipate that ease of synthesis and transfer of these two-dimensional materials may have many potential applications in catalysis, gas storage and sensing, optics, nanomaterial synthesis, and environmentally responsive scaffolds.

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