• Title/Summary/Keyword: Array-based sensors

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Multianalyte Sensor Array using Capillary-Based Sample Introduction Fluidic Structure: Toward the Development of an "Electronic Tongue"

  • Sohn, Young-Soo;Anslyn, Eric V.;McDevitt, John T.;Shera, Jason B.;Neikirk, Dean P.
    • Journal of Sensor Science and Technology
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    • v.13 no.5
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    • pp.378-382
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    • 2004
  • A micromachined fluidic structure for the introduction of liquid samples into a chip-based sensor array composed of individually addressable polymeric microbeads has been developed. The structure consists of a separately attached cover glass, a single silicon chip having micromachined channels and microbead storage cavities, and a glass carver. In our sensor array, transduction occurs via colorimetric and fluorescence changes to receptors and indicator molecules that are covalently attached to termination sites on the polymeric microbeads. Data streams are acquired for each of the individual microbeads using a CCD. One of the key parts of the structure is a passive fluid introduction system driven only by capillary force. The velocity of penetration of a horizontal capillary for the device having a rectangular cross section has been derived, and it is quite similar to the Washburn Equation calculated for a pipe with a circular cross section having uniform radius. The test results show that this system is useful in a ${\mu}$-TAS and biomedical applications.

Design of a New ISFET Array Chip

  • Yeow, Terence;Seo, Hwa-Il;Mulcahy, Dennis;Haskard, Malcolm
    • Journal of Sensor Science and Technology
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    • v.4 no.4
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    • pp.55-61
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    • 1995
  • A new ISFET array chip, based on detection of the threshold voltages of ISFETs by using an adjustable input, was designed. The chip includes 240 pH-ISFETs and circuitry such as comparators, a decoder and register. The chip has increased reliability, improved accuracy, digital output capability and the possibility of multi sensor implementation. To fabricate the chip, an extended CMOS process was devised and implemented.

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Fabrication of low-stress silicon nitride film for application to biochemical sensor array

  • Sohn, Young-Soo
    • Journal of Sensor Science and Technology
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    • v.14 no.5
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    • pp.357-361
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    • 2005
  • Low-stress silicon nitride (LSN) thin films with embedded metal line have been developed as free standing structures to keep microspheres in proper locations and localized heat source for application to a chip-based sensor array for the simultaneous and near-real-time detection of multiple analytes in solution. The LSN film has been utilized as a structural material as well as a hard mask layer for wet anisotropic etching of silicon. The LSN was deposited by LPCVD (Low Pressure Chemical Vapor Deposition) process by varing the ratio of source gas flows. The residual stress of the LSN film was measured by laser curvature method. The residual stress of the LSN film is 6 times lower than that of the stoichiometric silicon nitride film. The test results showed that not only the LSN film but also the stack of LSN layers with embedded metal line could stand without notable deflection.

A Method of Optimal Sensor Decision for Odor Recognition (냄새 인식을 위한 최적의 센서 결정 방법)

  • Roh, Yong-Wan;Kim, Dong-Ku;Kwon, Hyeong-Oh;Hong, Kwang-Seok
    • The KIPS Transactions:PartB
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    • v.17B no.1
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    • pp.9-14
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    • 2010
  • In this paper, we propose method of correlation coefficients between sensors by statistical analysis that selects optimal sensors in odor recognition system of selective multi-sensors. The proposed sensor decision method obtains odor data from Metal Oxide Semiconductor(MOS) sensor array and then, we decide optimal sensors based on correlation of obtained odors. First of all, we select total number of 16 sensors eliminated sensor of low response and low reaction rate response among similar sensors. We make up DB using 16 sensors from input odor and we select sensor of low correlation after calculated correlation coefficient of each sensor. Selected sensors eliminate similar sensors' response therefore proposed method are able to decide optimal sensors. We applied to floral scent recognition for performance evaluation of proposed sensors decision method. As a result, application of proposed method with floral scent recognition using correlation coefficient obtained recognition rate of 95.67% case of using 16 sensors while applied floral scent recognition system of proposed sensor decision method confirmed recognition rate of 94.67% using six sensors and 96% using only 8 sensors.

Development of Intelligent Mobile Robot with electronic nose

  • Byun, Hyung-Gi;Ham, Yu-Kyung;Kim, Jung-Do;Park, Ji-Hyeok;Shon, Won-Ryul
    • 제어로봇시스템학회:학술대회논문집
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    • 2001.10a
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    • pp.137.2-137
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    • 2001
  • We have been developed an intelligent mobile robot with an artificial olfactory function to recognize odours and to track odour source location. This mobile robot also has been installed an engine for speech recognition and synthesis, and is controlled by wireless communication. An artificial olfactory system based on array of 7 gas sensors has been installed in the mobile robot for odour recognition, and 11 gas sensors also are located in the bottom of robot to track odour sources. 3 optical sensors are also included in the intelligent mobile robot, which is driven by 2 D.C. motors, for clash avoidance in a way of direction toward an odour source. Throughout the experimental trails, it is confirmed that the intelligent mobile robot is capable of not only the odour recognition using artificial neural network algorithm, but also the tracking odour source using the step-by-step approach method ...

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A Study on Performance Analysis of High Resolution DOA Method based on MUSIC (MUSIC을 근간으로 하는 고해상도 DOA 방법의 성능분석에 관한 연구)

  • 이일근;최인경;김영집;강철신
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.19 no.2
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    • pp.345-353
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    • 1994
  • This paper proposes a high resolution direction finding method, which is so called the 'averaged MUSIC'. This method uses a new sample array covariance matrix that consists of diagonal components obtained by taking averages of the diagonal component values of the sample covariance matrix for the MUSIC. This paper also shows that the proposed method performs higher resolced direction-of-arrival estimation than the MUSIC in such cases as low signal-to-noise ratio, closed signal sources, and limited number of sensors, based on the statistical analysis.

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Signal Processing Techniques Based on Adaptive Radial Basis Function Networks for Chemical Sensor Arrays

  • Byun, Hyung-Gi
    • Journal of Sensor Science and Technology
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    • v.25 no.3
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    • pp.161-172
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    • 2016
  • The use of a chemical sensor array can help discriminate between chemicals when comparing one sample with another. The ability to classify pattern characteristics from relatively small pieces of information has led to growing interest in methods of sensor recognition. A variety of pattern recognition algorithms, including the adaptive radial basis function network (RBFN), may be applicable to gas and/ or odor classification. In this paper, we provide a broad review of approaches for various types of gas and/or odor identification techniques based on RBFN and drift compensation techniques caused by sensor poisoning and aging.

Development of fabric-based optical fiber tactile sensor using optical fiber bending loss (광섬유 굽힘 손실을 이용한 직물 기반의 광섬유 촉각센서 개발)

  • Kim, Ju-Young;Baek, Sang-Ho;Lee, Jung-Ju
    • Journal of Sensor Science and Technology
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    • v.18 no.3
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    • pp.210-216
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    • 2009
  • In this paper the tactile sensor system based on the bending loss of optical fiber sensor is presented. The sensor array was designed with fabric structure. The optical measuring system was composed of LED for light source and CCD camera for the signal light detector. Performance of this tactile sensor system was evaluated in various environments and compared with Harmon's design criteria. The result shows that load range is 3 g$\sim$100 g, resolution is 1.5 g, hysteresis error is 1.5%. The response linearity is good and flexibility of sensor array is excellent.

Characteristic Classification of Aroma Oil with Gas Sensors Array and Pattern Recognition (가스센서 어레이와 패턴인식을 활용한 아로마 오일의 특성 분류)

  • Choi, Il-Hwan;Hong, Sung-Joo;Kim, Sun-Tae
    • Journal of Sensor Science and Technology
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    • v.27 no.2
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    • pp.118-125
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    • 2018
  • An evaluation system for an electronic-nose concept using three types of metal oxide gas sensors that react similarly to the human olfactory cells was constructed for the quantitative and qualitative evaluation of aroma fragrances. Four types of aroma fragrances (lavender, orange, jasmine, and Roman chamomile), which are commonly used in aromatherapy, were evaluated. All the gas sensors reacted remarkably to the aroma fragrances and the good correlation of r=0.58-0.88 with the aromatic odor intensities by olfaction was confirmed. From the results of the analysis of an electronic-nose concept for classifying the characteristics of aroma oil fragrances, aroma oils could be classified using the fragrance characteristics and oil extraction methods with the cumulative variability contribution rate of 95.65% (F1: 69.65%, F2: 26.03%) by principal component analysis. In the pattern recognition based on the artificial neural network, the four aroma fragrances were 100% recognized through the training data of 56 cases (70%) out of 80 cases, and the pattern recognition rate was 57.1%-71.4% through the validation and testing data of 24 cases (30%). The pattern recognition success rate through all confusion matrices was 82.1%, indicating that the classification of aroma oil fragrances using the three types of gas sensors was successful.

Fabrication and statistical characterization of Nb SQUID sensors for multichannel SQUID system

  • Kim, B.K.;Yu, K.K.;Kim, J.M.;Kwon, H.;Lee, S.K.;Lee, Y.H.
    • Progress in Superconductivity and Cryogenics
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    • v.22 no.4
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    • pp.62-66
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    • 2020
  • We fabricated superconducting quantum interference devices (SQUIDs) based on Nb Josephson junctions, and characterized the key parameters of the SQUIDs. The SQUIDs are double relaxation oscillation SQUIDs (DROSs) having larger flux-to-voltage transfer coefficient than the standard DC-SQUIDs. SQUID sensors were fabricated by using Nb junction technology consisted of a DC magnetron sputtering and a conventional photolithography process. In multichannel SQUID systems for whole-head magnetoencephalography measurement with a helmet-type SQUID array, we need about 336 SQUID sensors for each system. In this paper, we fabricated a few hundred SQUID sensors, measured the critical current, flux modulation voltage and decided if each tested SQUID can be used for the multichannel systems. As the criterion for the acceptance of the sensors, we chose the critical current and amplitude of the modulation voltage to be 8 ㎂ and 80 ㎶, respectively. The average critical current of the SQUIDs was 10.58 ㎂. The typical flux noise of the SQUIDs with input coil shorted was 2 μΦ0/√Hz at white region.