Nonlinear Preprocessing For Smart Chemical Sensing Systems
- doi: 10.1109/SENSOR.1995.717357
-
title: Nonlinear Preprocessing for Smart Chemical
Sensing Systems
- publisher: IEEE
- isbn: 91-630-3473-5
- issn:
- rank: 3137
- access_type: LOCKED
- content_type: Conferences
-
abstract: We have designed and fabricated CMOS
preprocessing hardware that successfully thresholds an array of chemical
sensor outputs to discriminate among various reducing chemicals. The
circuitry uses only 7 transistors per chemical sensor to generate a
digital output image that is representative of the reducing chemical
present in the sensing environment. The image is generated using the
median sensory value in the array as the reference for thresholding.
When tested on a heterogeneous array of tin-oxide sensors, this hardware
has proven sufficient to discriminate among five major reducing
chemicals (acetore, ammonia, carbon monoxide, hexane, and butane).
- article_number: 717357
-
pdf_url:
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=717357
-
html_url:
https://ieeexplore.ieee.org/document/717357/
-
abstract_url:
https://ieeexplore.ieee.org/document/717357/
-
publication_title: Proceedings of the International
Solid-State Sensors and Actuators Conference - TRANSDUCERS '95
- conference_location: Stockholm, Sweden
- conference_dates: 25-29 June 1995
- publication_number: 5818
- is_number: 15511
- publication_year: 1995
- publication_date: 25-29 June 1995
- start_page: 814
- end_page: 817
- citing_paper_count: 3
- citing_patent_count: 0
- download_count: 10
- insert_date: 20020806
-
index_terms:
-
ieee_terms:
- Sensor arrays
- Chemical sensors
- Hardware
- Chemical analysis
- Circuits
- Microsensors
- Performance analysis
- Chemical technology
- Pattern analysis
- Pattern recognition
-
dynamic_index_terms:
- Chemical Sensors
- Least-squares
- Least Squares Method
- Digital Images
- Circuitry
- Carbon Monoxide
- Sensory Input
- Implementation Of Algorithm
- Discrimination Task
- Output Image
- Sensor Array
- Single Sensor
- Self-organizing Map
- Kohonen
- Threshold Algorithm
- Circuit Elements
- Electrical Elements
- Sensor Output
- Digital Computer
- Use Of Arrays
- Chemical Families
- Image Processing Applications
- Array Of Values
- Chemical Imaging
- Binary Output
- Thresholding Technique
- Chemical Tests
- Bias Current
- Adaptive Threshold
- Test Chamber
-
isbn_formats:
-
format: Print ISBN,
value: 91-630-3473-5,
isbnType: Historical
-
authors:
-
Author Name: D.M. Wilson
Affiliation: School of Electrical and Computer
Engineering, Georgia Institute of Technology, Atlanta, GA, USA
Author URL:
https://ieeexplore.ieee.org/author/37289897800
ID: 37289897800
Order: 1
Author Affiliations:
-
School of Electrical and Computer Engineering, Georgia Institute
of Technology, Atlanta, GA, USA
-
Author Name: S.P. DeWeerth
Affiliation: School of Electrical and Computer
Engineering, Georgia Institute of Technology, Atlanta, GA, USA
Author URL:
https://ieeexplore.ieee.org/author/37332064300
ID: 37332064300
Order: 2
Author Affiliations:
-
School of Electrical and Computer Engineering, Georgia Institute
of Technology, Atlanta, GA, USA
Image Sensor
- sensor_type: CMOS
- resolution: not specified
- dynamic_range: not specified
- pixel_size: not specified
- dark_current: not specified
Optical Data
- focal_length: not specified
- aperture: not specified
- field_of_view: not specified
- distortion: not specified
Performance Metrics
Applications & Benefits
- cell_imaging: not specified
- benefits: not specified
Supporting Organizations
- supported_by: Georgia Institute of Technology
Manuscript Details
- publication_date: 25-29 June 1995
Relevancy Score
- score: 3
-
missing_fields:
- resolution
- dynamic_range
- pixel_size
- dark_current
- focal_length
- aperture
- field_of_view
- distortion
- frame_rate
- signal_to_noise_ratio
- sensitivity
- shutter_speed
- power_consumption
- noise
- cell_imaging
- benefits
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