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Author Hafiane, Mohamed Lamine ♦ Dibi, Zohir ♦ Manck, Otto
Source World Health Organization (WHO)-Global Index Medicus
Content type Text
Publisher Multidisciplinary Digital Publishing Institute
File Format HTM / HTML
Language English
Difficulty Level Medium
Subject Domain (in DDC) Technology ♦ Medicine & health
Abstract An intelligent sensor for light wavelength readout, suitable for visible range optical applications, has been developed. Using buried triple photo-junction as basic pixel sensing element in combination with artificial neural network (ANN), the wavelength readout with a full-scale error of less than 1.5% over the range of 400 to 780 nm can be achieved. Through this work, the applicability of the ANN approach in optical sensing is investigated and compared with conventional methods, and a good compromise between accuracy and the possibility for on-chip implementation was thus found. Indeed, this technique can serve different purposes and may replace conventional methods.
Description Author Affiliation: Hafiane ML ( Laboratoire d'Electronique Avancée, Département d'Electronique, Université de Batna, 05 avenue Chahid Boukhlouf 05000 Batna, Algeria)
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Reading ♦ Research ♦ Self Learning
Interactivity Type Expositive
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2009-01-01
Publisher Place Switzerland
e-ISSN 14248220
Journal Sensors
Volume Number 9
Issue Number 4


Source: WHO-Global Index Medicus