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Articles 241 - 244 of 244
Full-Text Articles in Electrical and Electronics
Image Super-Resolution Technique Using Deep Inception Based Residual Networks, Wazir Muhammad
Image Super-Resolution Technique Using Deep Inception Based Residual Networks, Wazir Muhammad
Chulalongkorn University Theses and Dissertations (Chula ETD)
Recently, deep Convolutional Neural Networks (CNN) have achieved exceptional performance over the past few years, in the area of image processing and computer vision task, especially on single image super-resolution (SISR). It is an immensely challenging task and has multiple practical applications, such as medical image processing, satellite imaging, facial image enhancement, and compressed image improvement. However, the majority of the existing image super-resolution CNN-based methods have been developed by stacking an innumerable number of layers and blindly increasing the size of the network architecture. Conversely, this leads to an increase in the model sizes and higher computational complexities. Furthermore, …
High Speed, Micron Precision Scanning Technology For 3d Printing Applications, Nicholas Emord
High Speed, Micron Precision Scanning Technology For 3d Printing Applications, Nicholas Emord
UNF Graduate Theses and Dissertations
Modern 3D printing technology is becoming a more viable option for use in industrial manufacturing. As the speed and precision of rapid prototyping technology improves, so too must the 3D scanning and verification technology. Current 3D scanning technology (such as CT Scanners) produce the resolution needed for micron precision inspection. However, the method lacks in speed. Some scans can be multiple gigabytes in size taking several minutes to acquire and process. Especially in high volume manufacturing of 3D printed parts, such delays prohibit the widespread adaptation of 3D scanning technology for quality control. The limiting factors of current technology boil …
Power Mobility Sensor Data Collection Verified Through Standardized Pediatric Assessments, Ayshka Elise Rodriguez-Velez
Power Mobility Sensor Data Collection Verified Through Standardized Pediatric Assessments, Ayshka Elise Rodriguez-Velez
UNF Graduate Theses and Dissertations
The collaboration between the School of Engineering and the Department of Physical Therapy at the University of North Florida has introduced the possibility of creating a new environment for pediatric physical therapy assessments. There are currently no methods for remotely monitoring children with impairments. However, with embedded sensor technology in the form of power mobility and accepted therapy assessment tools, remote monitoring can become a possibility. As a part of this work, a ride-on toy car was developed as a remote monitoring device and a case study with a child with a mobility impairment was used as a proof of …
Coupling Radio Frequency Energy Via The Embedded Rebar Cage In A Reinforced Concrete Structure For The Purpose Of Concrete Degradation Sensing, Ryan Campiz
UNF Graduate Theses and Dissertations
This study focuses on utilizing an energy harvesting system in which a dedicated Radio Frequency (RF) power source transmits RF power via rebar in a reinforced concrete column. The RF power is received and decoupled by a receiver, and is then rectified, boosted, and stored as electrical energy in a supercapacitor, later to be used to make measurements, process data, and communicate to the source via rebar. Two design attempts are presented in this study: (a) one uses single line conduction at 2.4 GHz for RF power transfer; (b) the other uses a more conventional two-line conduction at 8.0 kHz …