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Lambda-Reservoir Computing

UCLA researchers in the Department of Electrical and Computer Engineering have developed a Spectral Reservoir Computer that processes data using nonlinear optical interactions.

Transmitter Localization Without Clock Synchronization

Determining the location of a transmitting party in a communication network normally requires a number of identifying factors. The transmitting party can be located through triangulating their signal, using the signal’s arrival at several receivers to determine the transmission’s origin. One can also determine the location of a receiver by comparing the receipt of multiple transmitter signals; however, in both scenarios the transmitter and receiver must employ clock synchronization and signal time-of-travel information to accurately compute relative localization between the two.   The Global Positioning System is a well-known example of this process, leveraging known time (and synchronizing to that time) and position of each GPS satellite to deduce the location of a receiver.  

Accurate and Secure Navigation for Autonomous Vehicles

While cellular phone networks are not designed for navigation, they are abundant in urban environments which are known to challenge GPS signals.  University of California, Riverside researchers integrated signals-of-opportunity from mobile phone networks to provide autonomous vehicles with precise navigational information.

Decentralized Charging Protocol for Plug-in Electric Vehicles

Plug-in vehicles (PEVs) have drawn interest from government, automakers, and the public due to potential for reduced environmental impact. UCI researchers have developed a decentralized charging protocol for PEVs that results in improved stability in power grid demand.

ABSTRACT: Platinum/Palladium Fuel Cell Catalyst

Brief description not available

Spectro-Temporal Lidar

UCLA researchers in the Department of Electrical and Computer Engineering have developed a LIDAR sensor that collects high frame-rate 3D measurements for autonomous vehicle and robotics applications.

High Electromechanical Coupling Disk Resonators

Capacitive-gap transduced micromechanical resonators routinely post Q several times higher than piezoelectric counterparts, making them the preferred platform for HF and low-VHF (e.g. 60-MHz) timing oscillators, as well as very narrowband (e.g. channel-select) low-loss filters. However, the small electromechanical coupling (as gauged by the resonator's motion-to-static capacitance ratio, Cx/Co) of these resonators at higher frequency prevents sub-mW GSM reference oscillators and complicates the realization of wider bandwidth filters. To address this situation, researchers at UC Berkeley developed a capacitive-gap transduced radial mode disk resonator with reduced mass and stiffness. This novel Berkeley disk resonator has a measured electromechanical coupling strength (Cx/Co) of 0.56% at 123 MHz without electrode-to-resonator gap scaling. This is an electromechanical coupling strength improvement of more than 5x compared with a conventional radial contour-mode disk at the same frequency. This increase should help improve the passbands of channel-select filters targeted for low power wireless transceivers and lower the power of MEMS-based oscillators.  

Sub-Carrier Successive-Approximation Mm-Wave Radar For High-Resolution 3D Imaging

UCLA researchers in the Department of Electrical Engineering have developed a sub-carrier successive approximation radar (SAR) system with a sufficiently high accuracy to capture three-dimensional images of objects concealed either under the clothing of a person, or within small packages. 

Evaporation-Based Method For Manufacturing And Recycling Of Metal Matrix Nanocomposites

UCLA researchers in the Department of Mechanical and Aerospace Engineering have developed a new method to manufacture and recycle metal matrix nanocomposites.

Interference Tolerant Radar System for Self-Driving Vehicles

UCLA researchers in the Department of Electrical Engineering have developed a low cost radar system that can detect up to 22 vehicles within 15 cm range. 

Methods of Self-Calibration for Coriolis Vibratory Gyroscopes

The levels of long-term instabilities in bias and scale factor are key characteristics for the utilization of gyroscopes in many practical applications in navigation, positioning, and targeting systems. The inventors at UCI have developed two methods for gyroscope calibration: 1) Utilizing the mechanical quadrature error and 2) Utilizing the voltages of amplitude gain control (AGC) of the drive-mode. The new methods have been combined with feedback signals from a third technique, Side-Band Ratio (SBR) detection, to produce bias stability of 0.1 deg/hr after 300 seconds that is maintained for over 3 hours.

Secret Key Generation For Wireless Communication In Cyber-Physical Automotive Systems

Automotive-based wireless communications rely on broadcasting signals over public channels, which must be encrypted due to their vulnerability to hacking by outside sources. Recently, researchers at UCI have developed a technique which utilizes the random motion of the vehicle to provide more secure and less energetically costly encryption over standard protocols.

Synthesis Technique to Achieve High-Anisotropy FeNi

Researchers at the University of California, Davis have developed an innovative synthesis approach to achieve high anisotropy L1 FeNi by combining physical vapor deposition and a high speed rapid thermal annealing (RTA).

Micro-Glassblown 3-D Coriolis Vibratory MEMS Gyroscope

Micro-glassblowing batch fabrication process for 3-D MEMS gyroscope

Enhancing Mechanical Properties of Nanostructured Materials with Interfacial Films

Nanostructured materials are a category of materials comprised of nanometer-scale crystals which exhibit order of magnitude higher strength when compared to their traditional counterparts with larger crystal sizes. The application of nanostructured materials has been limited due to seemingly inherent low ductility and high-temperature instability. The inventors at UCI have developed a nanostructured material that simultaneously exhibits increased ductility, strength, and thermal stability by the incorporation of amorphous intergranular films.

Windshield Wiper Mechanism For Enhanced Coverage

The invention is a horizontally-moving, windshield wiper system for motor vehicles that enhances the area of coverage of the wiper blade, while still maintaining the look and ease of use of standard windshield wipers.

Optimized Thermal And Energy Management For Hybrid Electrical Energy Storage In Electric Vehicles

The invention is a novel method that optimizes battery utilization in electric vehicles to improve driving range and extend battery lifetime, all while maintaining safe battery temperature.

Battery-Aware Energy-Optimal Electric Vehicle Driving Management

The invention is a method for managing electric vehicle (EV) driving, which identifies the most energy efficient route to a destination based on vehicle’s battery characteristics. This is the first ever method to optimize navigation for both energy efficiency and the vehicle’s battery lifetime simultaneously.

Tri-Energy Source Hybrid Vehicle Powertrain

Researchers at the University of California, Davis have developed a tri-energy source (TES) hybrid vehicle powertrain consisting of three different propulsion systems including: (i) an internal combustion engine (ICE); (ii) an electric motor and battery and; (iii) a flywheel and continuously variable transmission (CVT).

A Low-Profile Flow Shear Sensing Unit

UCLA researchers have developed an accurate low-profile shear sensing unit that is viable for both gas and liquid flows.

Modular Rod-Centered, Distributed Actuation & Control Architecture For Spherical Tensegrity Robots

The potential for robots to perform complicated tasks in highly dynamic environments, could be challenging for robots with rigid bodies. Accordingly, the emerging field of soft robotics is exploring tensegrity structures – which are isolated solid rods connected by tensile cables. These tensegrity structures are highly flexible, and that makes them suitable for uneven and unpredictable environments in which traditional robots struggle.Researchers at the University of California, Berkeley have developed novel methods to position all the required components for tensegrity robots to be fully functional and protected while being transported. This technology keeps the actuators, as well as other electronics components, protected from impact forces, while successfully providing the actuation necessary for locomotion. 

Environmentally Friendly Navigation Techniques

Background: Current navigation systems offer “shortest-distance” or “shortest-time” functions to help avoid traffic congestion but neither of them determine the most fuel efficient route. With rising gas prices and vehicle emissions, a more advanced navigation system with additional functions, such as an environmentally-friendly feature, is needed. This accomplishment can make a huge improvement on increasing fuel costs and air pollution. The in-vehicle navigation system is also expected to competitively penetrate the US market in the next couple years with annual sales quadrupling to $13M.  Brief Description: UCR researchers have developed an innovative vehicle navigation system (VNS) that will allow users to choose a route that is the most gas efficient and emanates less emissions. The energy- and emissions-minimization function is incorporated on top of distance- and time-minimizing functions that currently exists in the traditional VNS. This new intelligent transportation system utilizes a state-of-the-art modal emissions model (CMEM) that encompasses real-world vehicle activity patterns, and can calculate the fuel consumption and emission values of each vehicle trajectory.

Facial Recognition & Vehicle Logo Super-Resolution System

Background: The video surveillance market is projected to grow annually at 17% and reach $42B by 2020. Video surveillance is a popular tool to track and monitor movement of people and vehicles to provide protection and discover information for investigations. Current technologies are competent in capturing images but not with high definition. Therefore, a more advanced security system that is smarter and multidimensional is needed.  Brief Description: UCR Researchers have developed a novel method and system for unified face representation for individual recognition in surveillance videos along with vehicle recognition. They extracted facial images from a video, generated an emotion avatar image (EAI) and computed features using their innovative algorithms. Low-resolution vehicle images can also be enhanced by using their super-resolution algorithms to produce high-resolution images. Existing technologies can only take frontal images but this new technology can handle out-of-plane, rotated images.

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