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THE DEVELOPMENT OF ON-CHIP OPTOFLUIDIC DROPLET LASERS
(2020-05-19)
Optofluidic lasers have been an emerging field for the applications of biological sensing and diagnosis, chemical sensing, and point-of-care devices. Droplets, as optical cavities, confines whispering gallery modes with ...
Distributed Optimal Policies for Multi-Agent Systems under Uncertainties
(2020-05-14)
Multi-agent systems (MAS) have attracted increasing attention in the past years due to their wide applications in mobile robots, sensor networks, autonomous driving systems, etc. Along with this trend, developing ...
HIGH-PERFORMANCE OPTIMIZATION METHODS FOR EMERGING POWER SYSTEMS
(2020-07-31)
This dissertation investigates the applications of high performance optimization techniques for emerging power systems with augmented power electronics devices. One of the main sources of complexity in the analysis of power ...
Multiscale Modeling and Simulation of Clutter in ISAR Imaging
(2020-05-05)
Clutter is common in applications of radar imaging and can adversely impact target imaging by contributing scattered energy that is not accounted for in target signal models. One potential source of clutter is moving ...
EXPLORING IOT-BASED APPLICATIONS IN POWER SYSTEMS MONITORING, DEMAND SIDE MANAGEMENT AND PROTECTION
(2020-06-22)
The Internet-of-Things (IoT) concept allows objects to share data through wired or wireless connections for communication purposes. Currently, IoT has been involved with the development of smart grids in many applications. ...
Distributed Resilient Control of Multi-agent Systems with Applications to Microgrids
(2020-08-03)
Distributed cooperative control of multi-agent systems (MAS) has been an active research area over the last few decades. Distributed cooperative controller is locally designed using the neighborhood relative information. ...
Structured Deep Learning: Theory and Applications
(2020-08-11)
The increasing amount of data generation has boosted the broad range of research
in big data and artificial intelligence. Besides the success of the deep learning
in wide range of research area, it meets its pitfalls on ...
NOVEL VIBRATIONAL ENERGY HARVESTERS UTILIZING PIEZOELECTRIC Li-DOPED ZnO NANOWIRES AND THE TRIBOELECTRIC EFFECT
(2020-06-24)
Vibration sources are omnipresent everywhere in our regular lives including the automobiles, aircraft, human body motion, wind flow, and water waves. Vibrational energy harvesters are electromechanical systems that can ...
INVESTIGATION OF THE CHANNEL HOT CARRIER (CHC) STRESSING EFFECTS AND IDENTIFICATION OF THE STRESS-INDUCED OXIDE TRAPS LEADING TO RTS IN PMOSFETS
(2020-11-12)
Electrical stressing mechanisms are responsible for the generation of stress-induced gate SiO2 defects, in addition to the presence of process-induced oxide traps, in MOSFETs. Random telegraph signal (RTS) can be utilized ...
Heterogeneous Transcoding for Next Generation Multimedia Video Codecs for Efficient Communication
(2020-11-30)
Innovations in the communication systems and technology are growing tremendously and the growth seen is unimaginable in the last forty years. In multimedia communication systems, technology has transformed from analog ...