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Bidding Strategy for Networked Microgrids in the Day-Ahead Electricity Market
(2020-01-13)
In recent years, microgrids have drawn increasing attention from both academic and industrial sectors due to their enormous potential benefits to the power systems. Microgrids are essentially highly-customized small-scale ...
Compressed Sensing Based Reconstruction Algorithm for X-ray Dose Reduction in Synchrotron Source Micro Computed Tomography
(2020-03-23)
Synchrotron computed tomography requires a large number of angular projections to reconstruct tomographic images with high resolution for detailed and accurate diagnosis. However, this exposes the specimen to a large amount ...
X-ray Induced Effects and Charge Collection Efficiency in Stabilized Amorphous Selenium Based X-ray Photoconductors
(2020-07-10)
Stabilized amorphous selenium (a-Se) photoconductive layers are currently used in most modern flat panel digital x-ray image detectors for mammography. The performance of these detectors depends, in part, on the electronic ...
A Cost-effective Multispectral Sensor System for Leaf-Level Physiological Traits
(2020-05-14)
With the concern of the global population to reach 9 billion by 2050, ensuring global food security is a prime challenge for the research community. One potential way to tackle this challenge is sustainable intensification; ...
Detection of Intestinal Bleeding in Wireless Capsule Endoscopy using Machine Learning Techniques
(2020-05-21)
Gastrointestinal (GI) bleeding is very common in humans, which may lead to fatal consequences. GI bleeding can usually be identified using a flexible wired endoscope. In 2001, a newer diagnostic tool, wireless capsule ...
A study of Radiation-Tolerant Voltage-Controlled Oscillators designs in 65 nm bulk and 28 nm FDSOI CMOS technologies
(2020-02-03)
Phase-locked loop (PLL) systems are widely employed in integrated circuits for space analog devices and communications systems that operate in radiation environments, where significant perturbations, especially in terms ...
DEVELOPING A BIOSENSOR WITH APPLYING KALMAN FILTER AND NEURAL NETWORK TO ANALYZE DATA FOR FUSARIUM DETECTION
(2020-03-25)
Early detection of Fusarium is arduous and highly desired as the detection assists in protecting crops from the harmful potential of plant pathogens which affect the quality and quantity of agriculture products. The thesis ...
Selective Encryption of Video Data for IoT Environments
(2021-05-25)
New advances in the Internet of Things (IoT) have raised lots of concerns regarding the reliability and security of devices within such environments since any vulnerability in the functionality of actuators or leak of data ...
Deep Learning for Robust Super-resolution
(2021-06-14)
Super Resolution (SR) is a process in which a high-resolution counterpart of an image is reconstructed from its low-resolution sample. Generative Adversarial Networks (GAN), known for their ability of hyper-realistic image ...
Compensation of Physical Impairments in Multi-Carrier Communications
(2021-03-02)
Among various multi-carrier transmission techniques, orthogonal frequency-division multiplexing (OFDM) is currently a popular choice in many wireless communication systems. This is mainly due to its numerous advantages, ...