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JOURNAL OF SENSOR SCIENCE AND TECHNOLOGY

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수록정보
수록범위 : 1권1호(1992)~31권3호(2022) |수록논문 수 : 1,923
센서학회지
31권3호(2022년 05월) 수록논문
최근 권호 논문
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KCI등재

1Triboelectrification based Multifunctional Tactile Sensors

저자 : Hyosik Park , Jeongeun Kim , Ju-hyuck Lee

발행기관 : 한국센서학회 간행물 : 센서학회지 31권 3호 발행 연도 : 2022 페이지 : pp. 139-144 (6 pages)

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Advanced tactile sensors are receiving significant attention in various industries such as extended reality, electronic skin, organic user interfaces, and robotics. The capabilities of advanced tactile sensors require a variety of functions, including position sensing, pressure sensing, and material recognition. Moreover, they should comsume less power and be bio-friendly with human contact. Recently, a tactile sensor based on the triboelectrification effect was developed. Triboelectric tactile sensors have the advantages of wide material availability, simple structure, and low manufacturing cost. Because they generate electricity by contact, they have low power consumption compared to conventional tactile sensors such as capacitive and piezoresistive. Furthermore, they have the ability to recognize the contact material as well as execute position and pressure sensing functions using the triboelectrification effect. The aim of this study is to introduce the progress of research on triboelectrification-based tactile sensors with various functions such as position sensing, pressure sensing and contact material recognition.

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2Flexible Pressure Sensors Based on Three-dimensional Structure for High Sensitivity

저자 : Young Jung , Hanchul Cho

발행기관 : 한국센서학회 간행물 : 센서학회지 31권 3호 발행 연도 : 2022 페이지 : pp. 145-150 (6 pages)

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The importance of flexible polymer-based pressure sensors is growing in fields like healthcare monitoring, tactile recognition, gesture recognition, human-machine interface, and robot skin. In particular, health monitoring and tactile devices require high sensor sensitivity. Researchers have worked on sensor material and structure to achieve high sensitivity. A simple and effective method has been to employ three-dimensional pressure sensors. Three-dimensional (3D) structures dramatically increase sensor sensitivity by achieving larger local deformations for the same pressure. In this paper, the performance, manufacturing method, material, and structure of high-sensitivity flexible pressure sensors based on 3D structures, are reviewed.

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3Highly-Sensitive Gate/Body-Tied MOSFET-Type Photodetector Using Multi-Finger Structure

저자 : Juneyoung Jang , Pyung Choi , Hyeon-june Kim , Jang-kyoo Shin

발행기관 : 한국센서학회 간행물 : 센서학회지 31권 3호 발행 연도 : 2022 페이지 : pp. 151-155 (5 pages)

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In this paper, we present a highly-sensitive gate/body-tied (GBT) metal-oxide semiconductor field-effect transistor (MOSFET)-type photodetector using multi-finger structure whose photocurrent increases in proportion to the number of fingers. The drain current that flows through a MOSFET using multi-finger structure is proportional to the number of fingers. This study intends to confirm that the photocurrent of a GBT MOSFET-type photodetector that uses the proposed multi-finger structure is larger than the photocurrent per unit area of the existing GBT MOSFET-type photodetectors. Analysis and measurement of a GBT MOSFET-type photodetector that utilizes a multi-finger structure confirmed that photocurrent increases in ratio to the number of fingers. In addition, the characteristics of the photocurrent in relation to the optical power were measured. In order to determine the influence of the incident the wavelength of light, the photocurrent was recorded as the incident the wavelength of light varied over a range of 405 to 980 nm. A highly-sensitive GBT MOSFET- type photodetector with multi-finger structure was designed and fabricated by using the Taiwan semiconductor manufacturing company (TSMC) complementary metal-oxide-semiconductor (CMOS) 0.18 um 1-poly 6-metal process and its characteristics have been measured.

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4시변 분절-관절 벡터를 통한 상대위치 추정시 변형관련 변수의 선정이 추정 정확도에 미치는 영향

저자 : 이창준 ( Chang June Lee ) , 이정근 ( Jung Keun Lee )

발행기관 : 한국센서학회 간행물 : 센서학회지 31권 3호 발행 연도 : 2022 페이지 : pp. 156-162 (7 pages)

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This study estimates the relative position between body segments using segment orientation and segment-to-joint center (S2J) vectors. In many wearable motion tracking technologies, the S2J vector is treated as a constant based on the assumption that rigid body segments are connected by a mechanical ball joint. However, human body segments are deformable non-rigid bodies, and they are connected via ligaments and tendons; therefore, the S2J vector should be determined as a time-varying vector, instead of a constant. In this regard, our previous study (2021) proposed a method for determining the time-varying S2J vector from the learning dataset using a regression method. Because that method uses a deformation-related variable to consider the deformation of S2J vectors, the optimal variable must be determined in terms of estimation accuracy by motion and segment. In this study, we investigated the effects of deformation-related variables on the estimation accuracy of the relative position. The experimental results showed that the estimation accuracy was the highest when the flexion and adduction angles of the shoulder and the flexion angles of the shoulder and elbow were selected as deformationrelated variables for the sternum-to-upper arm and upper arm-to-forearm, respectively. Furthermore, the case with multiple deformationrelated variables was superior by an average of 2.19 mm compared to the case with a single variable.

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5CNT 필름 전기화학 센서의 온도 의존 특성에 관한 연구

저자 : 노재하 ( Jaeha Noh ) , 안형수 ( Hyung Soo Ahn ) , 안상수 ( Sangsu An ) , 이창한 ( Changhan Lee ) , 이상태 ( Sangtae Lee ) , 이문진 ( Moonjin Lee ) , 서동민 ( Dongmin Seo ) , 장지호 ( Jiho Chang )

발행기관 : 한국센서학회 간행물 : 센서학회지 31권 3호 발행 연도 : 2022 페이지 : pp. 163-167 (5 pages)

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In this study, we investigated a carbon nanotube (CNT) film sensor to detect hazardous and noxious substances distributed in seawater. The response change of the sensor was studied according to environmental temperature, and its temperature coefficient of resistance (TCR, α) was measured. The temperature of the CNT film (~50 μm) was in the range of 20-50 ℃, and αCNT was calculated to be -0.0011%/ ℃. We experimentally confirmed that the CNT film had a smaller TCR value than that of the conventional sensor. Therefore, we investigated the response change of the CNT sensor according to temperature. The CNT sensor showed a relatively small error of approximately 2.3% up to 30 ℃, which is within the temperature range of the seawater of the Korean Peninsula. However, when the temperature exceeded 40 ℃, the error in the CNT sensor increased by more than 5.2%. We fabricated a metal oxide (ITO, indium-tin-oxide) film and compared its performance with that of the CNT sensor. The ITO sensor showed an error of >12.5% at 30 ℃, indicating that in terms of the stability of the sensor to temperature, the CNT film sensor has superior performance.

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6황화수소 가스 감지를 위한 고성능 변색성 섬유형 센서의 제작 및 개발

저자 : 정동혁 ( Dong Hyuk Jeong ) , 맹보희 ( Bohee Maeng ) , 이준엽 ( Junyeop Lee ) , 조성빈 ( Sung Been Cho ) , 안희경 ( Hee Kyung An ) , 정대웅 ( Daewoong Jung )

발행기관 : 한국센서학회 간행물 : 센서학회지 31권 3호 발행 연도 : 2022 페이지 : pp. 168-174 (7 pages)

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Hydrogen sulfide(H2S) gas is a high-risk gas that can cause suffocation or death in severe cases, depending on the concentration of exposure. Various studies to detect this gas are still in progress. In this study, we demonstrate a colorimetric sensor that can detect H2S gas using its direct color change. The proposed nanofiber sensor containing a dye material named Lead(II) acetate, which changes its color according to H2S gas reaction, is fabricated by electrospinning. The performance of this sensor is evaluated by measuring RGB changes, ΔE value, and gas selectivity. It has a ΔE value of 5.75 × 10-3 ΔE/s·ppm, showing improved sensitivity up to 1.4 times that of the existing H2S color change detection sensor, which is a result of the large surface area of the nanofibers. The selectivity for H2S gas is confirmed to be an excellent value of almost 70%.

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7단일 나노입자의 다중 물리량의 평가를 위한 입자 모션 트랙킹 알고리즘

저자 : 박예은 ( Yeeun Park ) , 강지윤 ( Geeyoon Kang ) , 박민수 ( Minsu Park ) , 노효웅 ( Hyowoong Noh ) , 박홍식 ( Hongsik Park )

발행기관 : 한국센서학회 간행물 : 센서학회지 31권 3호 발행 연도 : 2022 페이지 : pp. 175-179 (5 pages)

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The physical properties of biomaterials are important for their isolation and separation from body fluids. In particular, the precise evaluation of the multi-physical properties of single biomolecules is essential in that the correlation between physical and biological properties of specific biomolecule. However, the majority of scientific equipment, can only determine specific-physical properties of single nanoparticles, making the evaluation of the multi-physical properties difficult. The improvement of analytical techniques for the evaluation of multi-physical properties is therefore required in various research fields. In this study, we developed a motion-tracking algorithm to evaluate the multi-physical properties of single-nanoparticles by analyzing their behavior. We observed the Brownian motion and electric-field-induced drift of fluorescent nanoparticles injected in a microfluidic chip with two electrodes using confocal microscopy. The proposed algorithm is able to determine the size of the nanoparticles by i) removing the background noise from images, ii) tracking the motion of nanoparticles using the circular-Hough transform, iii) extracting the mean squared displacement (MSD) of the tracked nanoparticles, and iv) applying the MSD to the Stokes-Einstein equation. We compared the evaluated size of the nanoparticles with the size measured by SEM. We also determined the zeta-potential and surface-charge density of the nanoparticles using the extracted electrophoretic velocity and the Helmholtz-Smoluchowski equation. The proposed motion-tracking algorithm could be employed in various fields related to biomaterial analysis, such as exosome analysis.

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8농업기상 센서 데이터를 활용한 인삼재배 광환경 조절 연구

저자 : 박정환 ( Jeonghwan Park ) , 송수빈 ( Soobin Song ) , 서상영 ( Sang Young Seo ) , 전숙례 ( Sook Lye Jeon )

발행기관 : 한국센서학회 간행물 : 센서학회지 31권 3호 발행 연도 : 2022 페이지 : pp. 180-186 (7 pages)

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Photosynthetically active radiation flux density (PPFD) and daily light integral (DLI) values related to plant photosynthesis were obtained using the sunlight time and insolation data points in the agricultural weather sensor data for Jinan-gun, Jeollabukdo, Korea from 2016 to 2020. The objective was to optimize the photo-environmental conditions for cultivating ginseng. The range of average monthly sunshine duration was 395.5-664.1 min, with the longest duration observed in June. The range of average annual accumulated daily insolation was 11.98-17.65 MJ·m-2. The range of average daily external DLI calculated from the insolation and solar time data was 22.3-36.1 mol·m-2·d-1, and the annual cumulative DLI was 8,156-13,175 mol·m-2·d-1. Both the insolation and DLI values were the highest in 2016 and lowest in 2020. Based on the PPFD required for ginseng growth (111- 185 μmol·m-2·s-1), the monthly average daily DLI and monthly cumulative DLI were 3.51-5.87 and 82-228 mol·m-2·d-1, respectively. The range of five-year average value for the external monthly cumulative DLI was 298-1,459 mol·m-2·d-1, and the monthly cumulative DLI values when a black double shading film and blue-white shading film were applied were 101-496 and 36-175 mol·m-2·d-1, respectively. A comparative analysis of DLI values indicated that shading was required to ginseng growth throughout the year under natural light. When the black double shading film was used, shading was required from March to October. When the blue-white shading film was applied from April to August, (i.e., the period with active ginseng growth) the appropriate DLI for ginseng growth could be continuously maintained. Regional weather differences due to climate change are gradually increasing, and even in one region, monthly and cumulative DLI values are different every year. Therefore, in order to implement a precise agricultural environment for ginseng cultivation, precise analysis and continuous research using agricultural weather sensor big data is required.

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