• Title/Summary/Keyword: Sensor Technique

Search Result 2,363, Processing Time 0.055 seconds

Development of Flexible Tactile Sensor Array

  • Kim, Hyungtae;Kwangmok Jung;Lee, Kyungsub;Jaedo Nam;Park, Hyoukryeol
    • 제어로봇시스템학회:학술대회논문집
    • /
    • 2002.10a
    • /
    • pp.97.6-97
    • /
    • 2002
  • In this paper, we present an arrayed flexible tactile sensor, which can detect contact normal forces as well as positions. The tactile sensor is developed using Polyvinylidene Fluoride (PVDF) that is known as piezoelectric polymer, and the surface electrode is fabricated using silk-screening technique with silver. We develop a charge amplifier in order to amplify the small signal from the sensor, and a fast signal processing unit by using a DSP chip. The developed tactile sensor is physically flexible and it can be deformed three-dimensionally to any shape so that it can be placed on anywhere on the curved surface. In the future, the developed sensor is applied to a dexterous robotic hand...$\textbullet$ Tactile sensing, PVDF, Robot hand

  • PDF

Estimation of Train Position Using Sensor Fusion Technique (센서융합에 의한 열차위치 추정방법)

  • Yoon Hee-Sang;Park Tae-Hyoung;Yoon Yong-Gi;Hwang Jong-Gyu;Lee Jae-Ho
    • Journal of the Korean Society for Railway
    • /
    • v.8 no.2
    • /
    • pp.155-160
    • /
    • 2005
  • We propose a tram position estimation method for automatic train control system. The accurate train position should be continuously feedback to control system for safe and efficient operation of trains in railway. In this paper, we propose the sensor fusion method integrating a tachometer, a transponder, and a doppler sensor far estimation of train position. The external sensors(transponder, doppler sensor) are used to compensate for the error of internal sensor (tachometer). The Kalman filter is also applied to reduce the measurement error of the sensors. Simulation results are then presented to verify the usefulness of the proposed method.

A Neuro-Fuzzy Inference System for Sensor Failure Detection Using Wavelet Denoising, PCA and SPRT

  • Na, Man-Gyun
    • Nuclear Engineering and Technology
    • /
    • v.33 no.5
    • /
    • pp.483-497
    • /
    • 2001
  • In this work, a neuro-fuzzy inference system combined with the wavelet denoising, PCA (principal component analysis) and SPRT (sequential probability ratio test) methods is developed to detect the relevant sensor failure using other sensor signals. The wavelet denoising technique is applied to remove noise components in input signals into the neuro-fuzzy system The PCA is used to reduce the dimension of an input space without losing a significant amount of information. The PCA makes easy the selection of the input signals into the neuro-fuzzy system. Also, a lower dimensional input space usually reduces the time necessary to train a neuro-fuzzy system. The parameters of the neuro-fuzzy inference system which estimates the relevant sensor signal are optimized by a genetic algorithm and a least-squares algorithm. The residuals between the estimated signals and the measured signals are used to detect whether the sensors are failed or not. The SPRT is used in this failure detection algorithm. The proposed sensor-monitoring algorithm was verified through applications to the pressurizer water level and the hot-leg flowrate sensors in pressurized water reactors.

  • PDF

A Study on the Selectivity of Gas Sensors by Sensing Pattern Recognition (감지 패턴 인식에 의한 가스센서의 선택성 연구)

  • Lee, Sung-Pil
    • Journal of Sensor Science and Technology
    • /
    • v.20 no.6
    • /
    • pp.428-433
    • /
    • 2011
  • We report on the building of a micro sensor array based on typical semiconductor fabrication processes aimed at monitoring selectively a specific gas in ambient of other gases. Chemical sensors can be applied for an electronic nose and/or robots using this technique. Microsensor array was fabricated on the same chip using 0.6${\mu}m$ CMOS technology, and unique gas sensing patterns were obtained by principal component analysis from the array. $SnO_2$/Pt sensor for CO gas showed a high selectivity to buthane gas and humidity. $SnO_2$ sensor for hydrogen gas, however, showed a low selectivity to CO and buthane gas. We can obtain more distinguishable patterns that provide the small sensing deviation(the high seletivity) toward a given analyte in the response space than in the chemical space through the specific parameterization of raw data for chemical image formation.

Input Estimation in Multi-Sensor Environment (다중 감지기 시스템 하에서의 입력 추정 필터 구현)

  • Park, Yong-H.;Hwang, Ik-H.;Yoon, Jang-H.;Seo, Jin-H.
    • Proceedings of the KIEE Conference
    • /
    • 1995.07b
    • /
    • pp.699-701
    • /
    • 1995
  • An input estimation technique is derived in multi-sensor environment. The proposed approach distribute the computational burden of input estimation to each local sensor and fusion center without loss of its optimality. The performances of proposed method in 2-sensor system are compared with those in single sensor system. Simulation results show that a reliable maneuvering target tracking system can be constructed in multi-sensor environment via proposed approach.

  • PDF

Echelons Scale Identification Scheme of Surveillance and Reconnaissance Sensor Network (감시정찰 센서네트워크에서 제대규모 식별 기법)

  • Choi, Ji-Hye;Kwon, Tae-Wook
    • Journal of the Korea Institute of Military Science and Technology
    • /
    • v.13 no.3
    • /
    • pp.438-444
    • /
    • 2010
  • Surveillance and reconnaissance sensor network system is an application system based on ubiquitous sensor network technology. This technique is to avoid accidental close combat, to minimize the consumption of limited military resources and personnel, and to provide battlefield situational awareness information for the unit's future combat missions. In this paper, we have proposed a echelons scale identification scheme based on information obtained from surveillance and reconnaissance sensor network system.

Key Predistribution Schemes in Distributed Wireless Sensor Network (분산 무선 센서 네트워크에서의 선수 키 분배 방법)

  • Kim, Jung-Tae
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
    • /
    • 2010.05a
    • /
    • pp.646-648
    • /
    • 2010
  • A Sensor Node in Wireless Sensor Network has very limited resources such as processing capability, memory capacity, battery power, and communication capability. When the communication between any two sensor nodes are required to be secured, the symmetric key cryptography technique is used for its advantage over public key cryptography in terms of requirement of less resources. Keys are pre-distributed to each sensor node from a set of keys called key pool before deployment of sensors nodes. Combinatorial design helps in a great way to determine the way keys are drawn from the key pool for distributing to individual sensor nodes. We study various deterministic key predistribution techniques that are based on combinatorial design.

  • PDF

Opticla Angle Sensor Using Pseudorandom-code And Geometry-code (슈도 랜덤 코드와 기하학 코드를 이용한 광학적 Angle Sensor)

  • 김희성;도규봉
    • Journal of the Institute of Electronics Engineers of Korea SD
    • /
    • v.41 no.2
    • /
    • pp.27-32
    • /
    • 2004
  • Absolute optical angle sensor is described that is an essentially digital opto-electronic device. Its purpose is to resolve the relative and absolute angle position of coded disk using Pseudorandom-code and Geometry-code. In this technique, the angular position of disk is determined in coarse sense first by Pseudorandom-code. A further fine angular position data based on Pixel count is obtained by Geometry-code which result 0.006$^{\circ}$ resolution of the system provided that 7 ${\mu}{\textrm}{m}$ line image sensor are used. The proposed technique is novel in a number of aspects, such that it has the non-contact reflective nature, high resolution of the system, relatively simple code pattern, and inherent digital nature of the sensor. And what is more the system can be easily modified to torque sensor by applying two coded disks in a manner that observe the difference in absolute angular displacement. The digital opto-electronic nature of the proposed sensor, along with its reporting of both torque and angle, makes the system ideal for use in intelligent vehicle systems. In this communication, we propose a technique that utilizes Pseudorandom-code and Geometry-code to determine accurate angular position of coded disk. We present the experimental results to demonstrate the validity of the idea.

A Sensor Data Compression Algorithm based on Dynamic Bit-assignment Techniques (동적 비트할당 기반 센서데이타 압축 기법)

  • Lee, Seok-Jae;Park, Hyun-Ho;Yeo, Myung-Ho;Song, Seok-Il;Yoo, Jae-Soo
    • Journal of KIISE:Information Networking
    • /
    • v.35 no.4
    • /
    • pp.318-325
    • /
    • 2008
  • Most of the sensor applications collect and analyze sensor data within a given period of time. When sensor send a data to sink, it spend many communication cost. Accordingly, a compression algorithm is one of the most critical issues for the communication cost decrease in sensor fields. In this paper, we propose an algorithm for compressing sensor data using the dynamic bit assignment technique. In our algorithm, sink collect sensor data within a short period of time and make bit assign information. Then sink send the information to sensor. Finally, sensors compresssensing data and send to sink.

Miniature Ultrasonic and Tactile Sensors for Dexterous Robot

  • Okuyama, Masanori;Yamashita, Kaoru;Noda, Minoru;Sohgawa, Masayuki;Kanashima, Takeshi;Noma, Haruo
    • Transactions on Electrical and Electronic Materials
    • /
    • v.13 no.5
    • /
    • pp.215-220
    • /
    • 2012
  • Miniature ultrasonic and tactile sensors on Si substrate have been proposed, fabricated and characterized to detect objects for a dexterous robot. The ultrasonic sensor consists of piezoelectric PZT thin film on a Pt/Ti/$SiO_2$ and/or Si diaphragm fabricated using a micromachining technique; the ultrasonic sensor detects the piezoelectric voltage as an ultrasonic wave. The sensitivity has been enhanced by improving the device structure, and the resonant frequency in the array sensor has been equalized. Position detection has been carried out by using a sensor array with high sensitivity and uniform resonant frequency. The tactile sensor consists of four or three warped cantilevers which have NiCr or $Si:B^+$ piezoresistive layer for stress detection. Normal and shear stresses can be estimated by calculation using resistance changes of the piezoresitive layers on the cantilevers. Gripping state has been identified by using the tactile sensor which is installed on finger of a robot hand, and friction of objects has been measured by slipping the sensor.