Special Issue "State-of-the-Art Sensors in Canada 2014"
Deadline for manuscript submissions: 15 April 2014
Prof. Dr. M. Jamal Deen
Electrical and Computer Enginering, ITB 104, McMaster University, 1280 Main Street West, Hamilton, Ontario, L8S 4K1, Canada
Interests: microelectronics; nanoelectronics and opto-electronics
The aim of this Special Issue is to provide a comprehensive overview on the state-of-the-art sensors technology of Canada. Research articles are invited, which will provide a consolidated, up-to-date perspective in this area. The Special Issue will publish full research, review, and other highly-rated manuscripts addressing the above topic.
Prof. Dr. M. Jamal Deen
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. Papers will be published continuously (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are refereed through a peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed Open Access monthly journal published by MDPI.
- chemical sensors
- physical sensors
- sensor networks
- remote sensors
The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.
Type of Paper: Survey and Review
Title: An Overview of Energy Harvesting Indoor Wireless Sensors
Authors: Salam Al-Juboori & Dr. Xavier Fernando
Affiliations: Dept. of Electrical & Computer Engineering / Ryerson University, Toronto, Canada; E-Mail: email@example.com
Abstract : Energy harvesting wireless sensors have recently become the centre of attraction for many researchers due to their widespread applications. In this paper, a quick survey will be provided comparing different ambient energy sources and their applicability in powering wireless sensors nodes; namely, optical, energy and thermal energy sources. Light sources are of special interest since it is clean, readily available, easy to extract and requires less maintenance. However, special challenges are faces in indoor environments where the light intensity is typically low. Simulation shows the feasibility of micro-scale indoor solar devices in extremely low
light irradiance to drive wireless sensor nodes.
Type of Paper: Article
Title: Measurement of the Efficiency of Recognition of the Track Patterns Generated by Ionizing Radiation in a TIMEPIX Detector
Authors: Nedaa Asbah1, Thomas Billoud1, Louis-Guillaume Gagnon1, Claude Leroy 1*, Stanislav Pospisil2 and Paul Soueid1
1 Université de Montréal, Laboratoire R.-J.A. Lévesque, Département de Physique, Montréal (Québec), Canada H3C 3J7
2 Czech Technical University in Prague, Institute of Experimental and Applied Physics, Horská 3a/22, 12800 Praha 2, Czech Republic
* Corresponding author: E-mail: firstname.lastname@example.org. This work was carried out within the CERN Medipix Collaboration
Abstract: A hybrid silicon pixelated TIMEPIX detector (256 x 256 pixels, 55 μm pitch; silicon layer 300 μm thick) operated in Time Over Threshold (TOT) mode (allowing energy measurement for each pixel) was exposed in vacuum to heavy ionizing particles at Montreal University Tandem Accelerator, and radioactive sources (241Am, 106Ru, 137Cs). The track recognition efficiency was tested by comparing measured and expected activities of the radioactive sources and was measured for heavy ionizing particles with different energies and incidence angles. The results demonstrate the TIMEPIX capability of particle identification. Track analysis gives a precision better than one pixel on impact coordinates of incident protons on the detector.
Title: Precise Calibration of a Multi-sensor Receiver for Adaptive GNSS Beamforming Applications
Authors: Saeed Daneshmand, Negin Sokhandan, Mohammad Zaeri-Amirani and Gérard Lachapelle
Affiliations: Schulich School of Engineering, Position Location and Navigation (PLAN) Group http://plan.geomatics.ucalgary.ca, Department of Geomatics Engineering, University of Calgary, Canada, E-mail: email@example.com
Abstract: Global navigation satellite system (GNSS) applications utilizing GNSS sensor arrays are gaining significant attention. In this paper, calibration of an antenna array using live GNSS signals and a tactical-grade inertial navigation sensor (IMU) is addressed. Estimating related uncertainties and applying calibration results in the receiver operation mode are studied. A multi-stage optimization for precise calibration is presented. Moreover, an adaptive equalization technique, namely recursive least squares (RLS), is applied to adaptively modify the estimated satellite signal steering vectors using the calibration results. This makes the approach suitable for real-time applications. The proposed calibration method is applied to real GPS signals with an antenna array to verify the applicability of the approach and assess its performance.
Last update: 10 February 2014