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A new approach to flexible humidity sensors using graphene quantum dots
, Article Journal of Materials Chemistry C ; Volume 5, Issue 35 , 2017 , Pages 8966-8973 ; 20507534 (ISSN) ; Iraji Zad, A ; Ghiass, M. A ; Fardindoost, S ; Hatamie, S ; Sharif University of Technology
Abstract
Highly sensitive flexible humidity sensors based on graphene quantum dots (GQDs) were developed. The GQDs were prepared using a facile hydrothermal method and characterized considering morphological, structural, and compositional experiments. Then, their humidity sensing properties in correlation with flexibility characteristics were investigated. Good selectivity and response (∼390 for a RH change of 99%), broad detection range (1-100% RH), rather short response and recovery times (12 and 43 s, respectively) as well as flexibility were obtained, demonstrating that the GQD sensors have potential for application in wearable electronics and RH monitoring. Detection of hydrogen (H2) gas by the...
3-D hough transform for surveillance radar target detection
, Article 2008 IEEE Radar Conference, RADAR 2008, Rome, 26 May 2008 through 30 May 2008 ; 2008 ; 9781424415397 (ISBN) ; Nayebi, M. M ; Sharif University of Technology
2008
Abstract
A 3-D Hough transform is introduced for detection of linear trajectories in a 3-D data space. Data space is constructed from returned radar data using range, bearing, and time information. This information is then mapped into a 3-D Cartesian data space. The constant velocity target trajectories appear as straight lines in this space, and are detected by the usage of 3-D Hough transform. The efficacy of the 3-D Hough transform is verified by simulation. In comparison with the 2-D case, when only the range-time information is used, the 3-D Hough transform has a better performance. © 2008 IEEE
Design and Implementation of a Pulsed LiDAR System Based on ToF Method
, M.Sc. Thesis Sharif University of Technology ; Fotowat Ahmadi, Ali (Supervisor) ; Kavehvash, Zahra (Supervisor)
Abstract
Every year millions of people around the world die because of car accidents, most of which are caused by human faults. This has greatly increased the need for advanced driver-assistance systems (ADAS) and self-driving cars. Currently, driver assistance systems rely mainly on radar sensors and cameras to detect various objects and obstacles around the vehicle. Radar, due to its low lateral resolution, and Camera, due to its sensitivity to environmental conditions and lack of distance measurement, do not perform well alone. Therefore, we need light detection and ranging (LiDAR) that measures the distances from objects using laser light. Due to the micrometer wavelength of light, LiDAR can have...
Ground-based moving target imaging in a circular strip-map synthetic aperture radar
, Article Proceedings of the 2015 IEEE 5th Asia-Pacific Conference on Synthetic Aperture Radar, APSAR 2015, 1 September 2015 through 4 September 2015 ; 2015 , Pages 835-840 ; 9781467372961 (ISBN) ; Bayat, S ; Nayebi, M. M ; Sharif University of Technology
Institute of Electrical and Electronics Engineers Inc
2015
Abstract
In this paper a novel algorithm for detection, parameter estimation, and image formation of a moving target in ground-based circular strip-map synthetic aperture radar (GBCSAR) is proposed. Because multiple similar scans of the scene with short revisit time are possible, moving target detection is performed by clutter cancellation. Despite of the frequency-domain or multi-antenna clutter cancellation methods, this system has the capability of removing the clutter completely regardless of the target speed or the signal to clutter ratio (SCR). Estimation of target parameters and range-cell migration correction (RCMC) is based on comparing two consecutive target images. Finally the azimuth...
3-D hough detector for surveillance radars
, Article IEICE Transactions on Communications ; Volume E93-B, Issue 3 , 2010 , Pages 685-695 ; 09168516 (ISSN) ; Nayebi, M. M ; Sharif University of Technology
Abstract
The Hough transform is known to be an effective technique for target detection and track initiation in search radars. However, most papers have focused on the simplistic applications of this technique which consider a 2-D data space for the Hough transform. In this paper, a new method based on xthe Hough transform is introduced for detecting targets in a 3-D data space. The data space is constructed from returned surveillance radar signal using the range and bearing information of several successive scans. This information is mapped into a 3-D x-y-t Cartesian data space. Targets are modeled with four parameters in this data space. The proposed 3-D Hough detector is then used to detect the...
Life-threatening arrhythmia verification in ICU patients using the joint cardiovascular dynamical model and a bayesian filter
, Article IEEE Transactions on Biomedical Engineering ; Volume 58, Issue 10 PART 1 , 2011 , Pages 2748-2757 ; 00189294 (ISSN) ; Shamsollahi, M. B ; Sharif University of Technology
Abstract
In this paper, a novel nonlinear joint dynamical model is presented, which is based on a set of coupled ordinary differential equations of motion and a Gaussian mixture model representation of pulsatile cardiovascular (CV) signals. In the proposed framework, the joint interdependences of CV signals are incorporated by assuming a unique angular frequency that controls the limit cycle of the heart rate. Moreover, the time consequence of CV signals is controlled by the same phase parameter that results in the space dimensionality reduction. These joint equations together with linear assignments to observation are further used in the Kalman filter structure for estimation and tracking. Moreover,...