• 제목/요약/키워드: Different Types of Sensors

검색결과 227건 처리시간 0.025초

SAW 센서의 제작 및 독성화학물질 감도특성 연구 (A study on the fabrication of polymer-coated SAW sensors and their sensing properties for some toxic chemical compounds)

  • 임양례;박병황;최선경;송갑득;이덕동
    • 센서학회지
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    • 제17권2호
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    • pp.143-146
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    • 2008
  • Polymer-coated film SAW sensors have been fabricated and their sensing properties for toxic chemicals have been extensively investigated. Four types of the toxic chemical compounds of hydrogen cyanide(AC), carbonyl dichloride(CG), pinacolyl methylfluorophosphonate(GD), 2,2'-dichlorodiethylthio ether(HD) were used as target gases. SAW sensors using five different kinds of polymers were used to detect toxic chemicals and their gas sensing characteristics were investigated. The polymers used as the sensing materials were polyisobutylene(PIB), polyepichlorohydrin(PECH), polydimethylsiloxane(PDMS), polybutadiene(PBD) and polyisoprene(PIP). The recommendable mixing ratio of PIB, PECH, PDMS, PBD and PIP to solvents were 1:30, 1:40, 1:10, 1:30 and 1:30, respectively. The sensing characteristics of the SAW sensors were measured by using E-5061A network analyzer.

Low-Cost IoT Sensors for Flow Measurement in Open Channels: A Comparative Study of Laboratory and Field Performance

  • Khatatbeh, Arwa;Kim, Young-Oh
    • 한국수자원학회:학술대회논문집
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    • 한국수자원학회 2023년도 학술발표회
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    • pp.172-172
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    • 2023
  • The use of low-cost IoT sensors for flow measurement in open channels has gained significant attention due to their potential to provide continuous and real-time data at a low cost. However, the accuracy and reliability of these sensors in real-world scenarios are not well understood. This study aims to compare the performance of low-cost IoT sensors in the laboratory and real-world conditions to evaluate their accuracy and reliability. Firstly, a low-cost IoT sensor was integrated with an IoT platform to acquire real-time flow rate data. The IoT sensors were calibrated in the laboratory environment to optimize their accuracy, including different types of low-cost IoT sensors (HC-SR04 ultrasonic sensor & YF-S201 sensor) using an open channel prototype. After calibration, the IoT sensors were then applied to a real-world case study in the Dorim-cheon stream, where they were compared to traditional flow measurement methods to evaluate their accuracy.The results showed that the low-cost IoT sensors provided accurate and reliable flow rate data under laboratory conditions, with an error range of less than 5%. However, when applied to the real-world case study, the accuracy of the IoT sensors decreased, which could be attributed to several factors such as the effects of water turbulence, sensor drift, and environmental factors. Overall, this study highlights the potential of low-cost IoT sensors for flow measurement in open channels and provides insights into their limitations and challenges in real-world scenarios.

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Electrospun Metal Oxide Composite Nanofibers Gas Sensors: A Review

  • Abideen, Zain Ul;Kim, Jae-Hun;Lee, Jae-Hyoung;Kim, Jin-Young;Mirzaei, Ali;Kim, Hyoun Woo;Kim, Sang Sub
    • 한국세라믹학회지
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    • 제54권5호
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    • pp.366-379
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    • 2017
  • Nanostructured materials have attracted considerable research interest over the recent decades because of their potential applications in nanoengineering and nanotechnology. On the other hand, the developments in nanotechnology are strongly dependent on the availability of new materials with novel and engineered morphologies. Among the novel nanomaterials reported thus far, composite nanofibers (NFs) have attracted considerable attention in recent years. In particular, metal oxide NFs have great potential for the development of gas sensors. Highly sensitive and selective gas sensors can be developed by using composite NFs owing to their large surface area and abundance of grain boundaries. In composite NFs, gas sensing properties can be enhanced greatly by tailoring the conduction channel and surface properties by compositional modifications using the synergistic effects of different materials and forming heterointerfaces. This review focuses on the gas sensing properties of composite NFs synthesized by an electrospinning (ES) method. The synthesis of the composite NFs by the ES method and the sensing mechanisms involved in different types of composite NFs are presented along with the future perspectives of composite NFs.

항공전자 멀티센서 정보 융합 구조 연구 (A Study on a Multi-sensor Information Fusion Architecture for Avionics)

  • 강신우;이승필;박준현
    • 한국항행학회논문지
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    • 제17권6호
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    • pp.777-784
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    • 2013
  • 다른 종류의 센서에서 생산되는 데이터를 하나의 정보로 종합하는 공정으로 멀티 센서 데이터 융합이 연구되고 있으며 다양한 플랫폼에서 활용되고 있다. 항공기도 여러 종류의 센서들을 장착하고 있으며 항공전자 체계에서 이를 통합하여 관리하고 있다. 항공기 센서의 성능이 높아지면서 항공전자 관점에서 센서 정보의 통합이 점차 증가하고 있다. 센서에서 생산된 데이터를 하나의 융합된 정보로 항공기 조종사에게 전시 장비로 시현하기 위한 융합을 담당하는 소프트웨어 관점에서 정보 융합을 다루는 연구는 활성화 되지 않고 있다. 항공기에서 정보 융합의 목적은 올바른 전투상황을 조종사에게 제공하여 임무를 수행하는 데에 필요한 결정을 돕고 이를 위한 조종 업무량을 최소화하는 것이다. 본 논문에서는 다양한 센서들이 운용되는 항공전자 시스템의 멀티센서데이터 융합을 위한 소프트웨어 관점에서 센서들이 생산하는 데이터가 사용자에게 종합된 정보 형태로 제공되기 위한 구조를 보인다.

콘크리트 보의 거동 측정을 위한 조합형 센서의 활용 (Application of Combined-Type Sensors for the Behavioral Measurement of Concrete Beams)

  • 김연태;김상철
    • 콘크리트학회논문집
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    • 제15권3호
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    • pp.454-461
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    • 2003
  • 본 연구에서는 일반 전기저항식 변형률센서 및 광섬유센서, 변위계를 이용하여 콘크리트 보의 거동특성을 연구하고자 하였다. 이를 위하여 콘크리트 보를 제작하고 여기에 광섬유 및 일반 전기저항식 변형률센서를 표면에 부착 또는 내부에 매설하였고 또한, 보의 하면에는 변위계를 설치한 후 파괴에 이를 때까지 하중을 정적으로 점증시켜가면서 보의 하중단계별 거동을 조사하였다. 실험결과, 이 방식이 보의 거동을 조사하는 데 효과적임을 확인하였으며, 조합형 변형률센서가 보에 균열이 발생한 후의 거동을 파악하는데 매우 효과적임을 알 수 있었다. 아울러 보는 균열발생 전에는 인장부 콘크리트가 외력에 저항할 수 있으나 일단 균열이 발생한 후에는 보의 강성이 저하되어 처짐이 계속 증가되는 비선형거동을 하며, 이 때부터는 인장부 철근이 전적으로 외력을 담당하는 것을 본 연구를 통해 파악할 수 있었다.

Experimental Study on Leak-induced Vibration in Water Pipelines Using Fiber Bragg Grating Sensors

  • Kim, Dae-Gil;Lee, Aram;Park, Si-Woong;Yeo, Chanil;Bae, Cheolho;Park, Hyoung-Jun
    • Current Optics and Photonics
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    • 제6권2호
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    • pp.137-142
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    • 2022
  • Leak detection is one of the most important challenges in condition monitoring of water pipelines. Fiber Bragg grating (FBG) sensors offer an attractive technique to detect leak signals. In this paper, leak measurements were conducted on a water distribution pilot plant with a length of 270 m and a diameter of 100 mm. FBG sensors were installed on the pipeline surface and used to detect leak vibration signals. The leak was demonstrated with 1-, 2-, 3-, and 4-mm diameter leak holes in four different pipe types. The frequency response of leak signals was analyzed by fast Fourier transform analysis in real time. In the experiment, the frequency range of leak signals was approximately 340-440 Hz. The frequency shifts of leak signals according to the pipe type and the size of the leak hole were demonstrated at a pressure of 1.8 bar and a flow rate of 25.51 m3/h. Results show that frequency shifts detected by FBG sensors can be used to detect leaks in pipelines.

모듈러 주택을 위한 자동 센서 감지기반 홈자동화 제어보드 개발 (Development of Automatic Sensor Detecting-based Home Automation Control Board for Modular Housing)

  • 마성훈;김병서
    • 한국인터넷방송통신학회논문지
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    • 제17권6호
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    • pp.33-39
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    • 2017
  • 오늘날 모듈러 건축 방식으로 주거시설에 대한 설계와 건설이 이루어지고 있다. 이러한 모듈러 기반의 주거시설에서는 자유로운 공간의 변형이 필요시 발생하기 때문에 홈 자동화 시스템에 대해서도 새로운 방식의 도입이 필요할 것으로 예상되어진다. 즉 기존의 홈자동화 시스템에서는 사전에 계획된 자동화 설계에 따라 유선 센서들을 기반으로 개발되어지고 있는데 공간의 변화가 이루어지는 모듈러 방식에서는 기존의 고정이면서 유선 방식의 센서 기반의 자동화 시스템은 적합하지 않을 것으로 판단된다. 따라서 모듈러 건축 방식에서는 역동적인 공간 변화에 따라 필요 센서들의 수와 종류가 변화고 센서의 위치도 변화기 때문에 이러한 다양한 변경 요소를 자동적으로 받아들여 홈자동화 시스템을 구축하는 시스템이 필요하다. 따라서 본 논문에서는 모듈러 건축 방식으로 구축된 주거시설에서 센서 인식을 자동으로 할 수 있고, 사용자 인터페이스를 자동으로 생성하여 변화하는 공간에 적응하는 홈자동화 시스템을 연구 개발하였다.

Chemical Sensors Based on Distributed Bragg Reflector Porous Silicon Smart Particles

  • Sohn, Honglae
    • 통합자연과학논문집
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    • 제8권1호
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    • pp.67-74
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    • 2015
  • Sensing characteristics for porous smart particle based on DBR smart particles were reported. Optically encoded porous silicon smart particles were successfully fabricated from the free-standing porous silicon thin films using ultrasono-method. DBR PSi was prepared by an electrochemical etch of heavily doped $p^{++}$-type silicon wafer. DBR PSi was prepared by using a periodic pseudo-square wave current. The surface-modified DBR PSi was prepared by either thermal oxidation or thermal hydrosilylation. Free-standing DBR PSi films were generated by lift-off from the silicon wafer substrate using an electropolishing current. Free-standing DBR PSi films were ultrasonicated to create DBR-structured porous smart particles. Three different surface-modified DBR smart particles have been prepared and used for sensing volatile organic vapors. For different types of surface-modified DBR smart particles, the shift of reflectivity mainly depends on the vapor pressure of analyte even though the surfaces of DBR smart particles are different. However huge difference in the shift of reflectivity depending on the different types of surface-modified DBR smart particles was obtained when the vapor pressures are quite similar which demonstrate a possible sensing application to specify the volatile organic vapors.

광섬유 국소화 표면 플라즈몬 공명 센서를 위한 광섬유 표면상의 금속 나노 입자 형성 (Formation of metal nano particles on optical fiber for fiber optic localized surface plasmon resonance sensor)

  • 이훈;이승기
    • 센서학회지
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    • 제17권2호
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    • pp.95-99
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    • 2008
  • Various etching methods of optical fiber and formation of metal nano particles on the optical fiber have been proposed for fabrication of fiber optic localized surface plasmon resonance (FO LSPR) biosensors. Different types of etched optical fiber are possible by removing the cladding of optical fiber using HF (hydrofluoric acid) solution and BHF (buffered hydrofluoric acid) solution, which results in improved surface roughness when BHF solution is used. Localized surface plasmon can be formed and measured by formation of silver and gold nano particles on the etched optical fiber. The characteristics of the etched optical fiber and metal nano particles on the etched surface of the optical fiber play a key role in dictating the sensitivity of the LSPR sensors, so that the proposed results can be expected to be applied for related research on fiber optic based biosensors.

수중 소나 영상 학습 데이터의 왜곡 및 회전 Augmentation을 통한 딥러닝 기반의 마커 검출 성능에 관한 연구 (Study of Marker Detection Performance on Deep Learning via Distortion and Rotation Augmentation of Training Data on Underwater Sonar Image)

  • 이언호;이영준;최진우;이세진
    • 로봇학회논문지
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    • 제14권1호
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    • pp.14-21
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    • 2019
  • In the ground environment, mobile robot research uses sensors such as GPS and optical cameras to localize surrounding landmarks and to estimate the position of the robot. However, an underwater environment restricts the use of sensors such as optical cameras and GPS. Also, unlike the ground environment, it is difficult to make a continuous observation of landmarks for location estimation. So, in underwater research, artificial markers are installed to generate a strong and lasting landmark. When artificial markers are acquired with an underwater sonar sensor, different types of noise are caused in the underwater sonar image. This noise is one of the factors that reduces object detection performance. This paper aims to improve object detection performance through distortion and rotation augmentation of training data. Object detection is detected using a Faster R-CNN.