• 제목/요약/키워드: Pressure-mapping sensor

검색결과 13건 처리시간 0.03초

Development of Capacitive-type Pressure Mapping Sensor using Printing Technology

  • Lee, Young-Tae
    • 센서학회지
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    • 제26권1호
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    • pp.24-27
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    • 2017
  • In this study, I developed a simple and low cost process-printing a silver, carbon, dielectric, adhesive layer on PET films using screen printing technology and bonding the two films face-to-face-to fabricate a low price capacitive pressure-mapping sensor. Both electrodes forming the pressure measuring capacitor are arranged between the two PET films similar to a sandwich. Therefore, the sensor has the advantage of minimizing the influence of external noise. In this study, a $10{\times}10$ capacitance-type pressure-mapping sensor was fabricated and its characteristics were analyzed.

정전용량 형 압력맵핑센서를 위한 록인 증폭기 어레이 개발 (Development of a Lock-In Amplifier Array for Capacitive Type Pressure Mapping Sensor)

  • 김청월;이영태
    • 반도체디스플레이기술학회지
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    • 제16권4호
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    • pp.63-67
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    • 2017
  • In this study, We developed a simple and low cost capacitive pressure mapping sensor and microcontroller-base lock-in amplifier array. We developed capacitive type pressure mapping sensor by forming the electrode and adhesives on plastic films using only the printing process, and the finishing the process by bonding the two films. Lock-in amplifier array was based on a general purpose microcontroller and had only a charge amplifier as analog circuits. In this study, a $10{\times}10$ capacitive type pressure mapping sensor and lock-in amplifier array was fabricated and its characteristics were analyzed.

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Characteristic Evaluation of Pressure Mapping System for Patient Position Monitoring in Radiation Therapy

  • Kang, Seonghee;Choi, Chang Heon;Park, Jong Min;Chung, Jin-Beom;Eom, Keun-Yong;Kim, Jung-in
    • 한국의학물리학회지:의학물리
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    • 제32권4호
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    • pp.153-158
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    • 2021
  • Purpose: This study evaluated the features of a pressure mapping system for patient motion monitoring in radiation therapy. Methods: The pressure mapping system includes an MS 9802 force sensing resistor (FSR) sensor with 2,304 force sensing nodes using 48 columns and 48 rows, controller, and control PC (personal computer). Radiation beam attenuation caused by pressure mapping sensor and signal perturbation by 6 and 10 mega voltage (MV) photon beam was evaluated. The maximum relative pressure value (mRPV), average relative pressure value (aRPV), the center of pressure (COP), and area of pressure distribution were obtained with/without radiation using the upper body of an anthropomorphic phantom for 30 minutes with 15 MV. Results: It was confirmed that the differences in attenuation induced by the FSR sensor for 6 and 10 MV photon beams were small. The differences in mRPV, aRPV, area of pressure distribution with/without radiation are about 0.6%, 1.2%, and 0.5%, respectively. The COP values with/without radiation were also similar. Conclusions: The characteristics of a pressure mapping system during radiation treatment were evaluated on the basis of attenuation and signal perturbation using radiation. The pressure distribution measured using the FSR sensor with little attenuation and signal perturbation by the MV photon beam would be helpful for patient motion monitoring.

음향학에 기반한 자율이동로봇의 초음파 확률격자지도 작성 (Sonar Map Construction Based on Acoustics Theory for Autonomous Mobile Robots)

  • 이유철;이세진;임종환;조동우
    • 한국정밀공학회:학술대회논문집
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    • 한국정밀공학회 2005년도 추계학술대회 논문집
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    • pp.400-403
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    • 2005
  • The sonar sensors can be divided into a piezo type and an electrostatic type according to a principle of an operating system. The electrostatic type of a sonar sensor is used for map building in this paper. If we know the characteristics of sonar sensor, we can derive the ultrasonic pressure equation from an acoustics theory. We, therefore, developed Ultrasonic Pressure Probabilistic Model (UPPM) to consider the sound pressure in the probability updating process. In this paper, we found that the quality of the resulting probability map is considerably improved, through combining the UPPM with the grid-based mapping algorithm.

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Flexible tactile sensor array for foot pressure mapping system in a biped robot

  • Chuang, Cheng-Hsin;Liou, Yi-Rong;Shieh, Ming-Yuan
    • Smart Structures and Systems
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    • 제9권6호
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    • pp.535-547
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    • 2012
  • Controlling the balance of motion in a context involving a biped robot navigating a rugged surface or a step is a difficult task. In the present study, a $3{\times}5$ flexible piezoelectric tactile sensor array is developed to provide a foot pressure map and zero moment point for a biped robot. We introduce an innovative concept involving structural electrodes on a piezoelectric film in order to improve the sensitivity. The tactile sensor consists of a polymer piezoelectric film, PVDF, between two patterned flexible print circuit substrates (FPC). Additionally, a silicon rubber bump-like structure is attached to the FPC and covered by a polydimethylsiloxane (PDMS) layer. Experimental results show that the output signal of the sensor exhibits a linear behavior within 0.2 N ~ 9 N, while its sensitivity is approximately 42 mV/N. According to the characteristic of the tactile sensor, the readout module is designed for an in-situ display of the pressure magnitudes and distribution within $3{\times}5$ taxels. Furthermore, the trajectory of the zero moment point (ZMP) can also be calculated by this program. Consequently, our tactile sensor module can provide the pressure map and ZMP information to the in-situ feedback to control the balance of moment for a biped robot.

PEDOT:PSS기반 잉크젯 프린팅 스트레인 게이지의 제작 (Fabrication of Inkjet Printed Strain Gauge Using PEDOT:PSS)

  • 계지원;한동철;신한재;염세혁;이왕훈
    • 센서학회지
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    • 제26권1호
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    • pp.56-59
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    • 2017
  • This paper presents the Inkjet-printed strain gauge using PEDOT:PSS. The strain gauge (width 0.6 mm, length 20 mm, thickness $0.3{\mu}m$) was printed on the PET film using PEDOT:PSS ink. The resistance variation of the fabricated strain gauge was measured by the digital multi-meter with the displacement range of -4 to 10 mm. As the measured result, resistance variation (${\Delta}R/R_0$) has approximately 0.75%, linearity of 99.87%. The fabricated strain gauge is expected to the various applications such as tape type pressure sensor, PMS(pressure mapping sensor), wearable devices.

LPG 누출 및 가스센서 3D Mapping을 통한 가스유동현상 분석 (Analysis of Gas Flow Behavior with Experiments for LPG releasing and 3D Mapping of Gas Sensor)

  • 김정환;이민경;길성희;이진한;조영도;문종삼
    • 한국가스학회지
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    • 제21권5호
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    • pp.45-55
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    • 2017
  • 대부분의 가연성가스의 누출 및 화재/폭발 등의 실험은 큰 위험성이 있으며 실험을 진행할 수 있는 부지 선정에 큰 어려움이 있어 가급적 전산유동해석(CFD) 등의 간접적 방법을 많이 활용하였다. 그러나 2016년 10일 강원도 영월군에 에너지안전실증연구센터가 개소함에 따라 대규모/고압/초저온 등의 실험 뿐아니라 소규모 가연성 가스의 누출 및 검지 실험이 가능하게 되어 본 실험을 계획하였다. 본 실험에서는 가스센서를 교정하고 가스가 누출될 공간에 배치 후 LP가스를 누출시켜 가스센서에 검지된 값을 Contour map으로 가시화하였다. 또한 동일 조건으로 해석한 전산유동해석 결과값과 비교하여 LEL 25% 값의 실제 누출(28s, 최대 3.7m)의 차이점에 대해 분석하였다.

휠체어 추진속도 및 등받이 경사각도에 따른 둔부 압력 변화 특성 (Characteristics of the Buttock Interface Pressure According to Wheelchair Propulsion Speed and Various Back Reclined Seating Position)

  • 권혁철;공진용
    • 한국전문물리치료학회지
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    • 제12권2호
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    • pp.1-10
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    • 2005
  • Pressure ulcers are serious complications of tissue damage that can develop in patients with diminished pain sensation and diminished mobility. Pressure ulcers can result in irreversible tissue damage caused by ischemia resulting from external loading. There are many intrinsic and extrinsic contributors to the problem, including interface tissue pressure, shear, temperature, moisture, hygiene, nutrition, tissue tolerance, sensory and motor dysfunction, disease and infection, posture, and body support systems. The purposes of this study were to investigate the relationship between buttock interface pressure and seating position, wheelchair propulsion speed. Seated-interface pressure was measured using the Force Sensing Array pressure mapping system. Twenty subjects propelled wheelchair handrim on a motor-driven treadmill at different velocities (40, 60, 80 m/min) and seating position used recline ($100^{\circ}$, $110^{\circ}$, $120^{\circ}$) with a wheelchair simulator. Interface pressure consists of average (mean of the pressure sensor values) and maximum pressure (highest individual sensor value). The results of this study were as follows; No significant correlation in maximum/average pressure was found between a static position and a 40 m/min wheelchair propulsion (p>.05). However, a significant increase in maximum/average pressure were identified between conditions of a static position and 60 m/min, and 80 m/min wheelchair propulsion (p<.05). No significant correlation in maximum pressure were found between a $90^{\circ}$ recline (neutral position) and a $100^{\circ}$, $110^{\circ}$, or $120^{\circ}$ recline of the wheelchair back (p>.05). No significant difference in average pressure was found between conditions of a $90^{\circ}$ recline and both a $100^{\circ}$ and $110^{\circ}$ recline of wheelchair back. However, a significant reduction in average pressure was identified between conditions of a $90^{\circ}$ and $120^{\circ}$ recline of wheelchair back (p<.05). This study has shown some interesting results that reclining the seat by $120^{\circ}$ reduced average interface pressure, including the reduction or prevention in edema. And interface pressure was greater during dynamic wheelchair propulsion compared with static seating. Therefore, the optimal seating position and seating system ought to provide postural control and pressure relief. We need an education on optimal seating position and a suitable propulsion speeds for wheelchair users.

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Simulation of the Blood Pressure Estimation Using the Artery Compliance Model and Pulsation Waveform Model

  • Jeon, Ahyoung;Ro, Junghoon;Kim, Jaehyung;Baik, Seongwan;Jeon, Gyerok
    • 센서학회지
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    • 제22권1호
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    • pp.38-43
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    • 2013
  • In this study, the artery's compliance model and the pulsation waveform model was proposed to estimate blood pressure without applying HPF (High Pass Filter) on signal measured by the oscillometric method. The method proposed in the study considered two ways of estimating blood pressure. The first method of estimating blood pressure is by comparing and analyzing changes in pulsation waveform's dicrotic notch region during each cardiac period. The second method is by comparing and analyzing morphological changes in the pulsation waveform during each cardiac period, which occur in response to the change in pressure applied on the cuff. To implement these methods, we proposed the compliance model and the pulsation waveform model of the artery based on hemodynamic theory, and then conducted various simulations. The artery model presented in this study only took artery's compliance into account. Then, a pulsation waveform model was suggested, which uses characteristic changes in the pulsation waveform to estimate blood pressure. In addition, characteristic changes were observed in arterial volume by applying artery's pulsation waveform to the compliance model. The pulsation waveform model was suggested to estimate blood pressure using characteristic changes of the pulsation waveform in the arteries. This model was composed of the sum of sine waves and a Fourier's series in combination form up to 10th harmonics components of the sinusoidal waveform. Then characteristic of arterial volume change was observed by inputting pulsation waveform into the compliance model. The characteristic changes were also observed in the pulsation waveform by mapping the arterial volume change in accordance with applied cuff's pressure change to the pulsation waveform's change according to applied pressure changes by cuff. The systolic and diastolic blood pressures were estimated by applying positional change of pulsation waveform's dicrotic notch region.

An Input Feature Selection Method Applied to Fuzzy Neural Networks for Signal Estimation

  • Na, Man-Gyun;Sim, Young-Rok
    • Nuclear Engineering and Technology
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    • 제33권5호
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    • pp.457-467
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    • 2001
  • It is well known that the performance of a fuzzy neural network strongly depends on the input features selected for its training. In its applications to sensor signal estimation, there are a large number of input variables related with an output As the number of input variables increases, the training time of fuzzy neural networks required increases exponentially. Thus, it is essential to reduce the number of inputs to a fuzzy neural network and to select the optimum number of mutually independent inputs that are able to clearly define the input-output mapping. In this work, principal component analysis (PCA), genetic algorithms (CA) and probability theory are combined to select new important input features. A proposed feature selection method is applied to the signal estimation of the steam generator water level, the hot-leg flowrate, the pressurizer water level and the pressurizer pressure sensors in pressurized water reactors and compared with other input feature selection methods.

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