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A Circuit-Based Scalable and Low-Complex Optical Datacenter Network

The ever‐increasing bandwidth requirements of modern datacenters have led researchers to propose networks based upon optical circuit switches, but these proposals face significant deployment challenges. In particular, previous proposals dynamically configure circuit switches in response to changes in workload, requiring network‐wide demand estimation, centralized circuit assignment, and tight time synchronization between various network elements— resulting in a complex and unwieldy control plane. Moreover, limitations in the technologies underlying the individual circuit switches restrict both the rate at which they can be reconfigured and the scale of the network that can be constructed; a new approach is necessary.

Resistive Memory Write and Read Assistance Using Negative Differential Resistance Devices

UCLA researchers in the Department of Electrical Engineering have developed a new design of read and write circuitry using negative differential resistance devices to improve the performance of resistive memories.

Data Shepherding: Cache Design For Future Large Scale Chips

The ability of a central processing unit to store frequently-used data in nearby, easily accessible cache data banks has revolutionized computational performance, though their effective implementation in multicore processors has become a technological challenge. Researchers at UCI have developed a new means of data caching that is fully applicable to multicore processors, and offers reduced memory access time over standard techniques.

Automated Reconstruction Of The Cardiac Chambers From MRI

This is a fast, fully automated method to accurately model a patient’s left heart ventricle via machine learning algorithms.

Monitor Alarm Fatigue Allevation By SuperAlarms - Predictive Combination Of Alarms

UCLA researchers in the Department of Neurosurgery have developed a method that is capable of mining a collection of monitor alarms to search for specific combinations of encoded monitor alarms to predict certain adverse event, such as in-hospital code blue arrests or other target events.

Mechanical Process For Creating Particles Using Two Plates

UCLA researchers in the Department of Chemistry and Biochemistry & Physics and Astronomy have developed a novel method to lithograph two polished solid surfaces by using a simple mechanical alignment jig with piezoelectric control and a method of pressing them together and solidifying a material.

Two-Step Processing With Vapor Treatment Of Thin Films Of Organic-Inorganic Perovskite Materials

Prof. Yang and colleagues have developed a novel method of preparing organic-inorganic thin films using a solution process followed by vapor treatment, presenting a low-cost, high-performance solution method of producing optoelectronic devices.

Load Modulation For Doherty Power Amplifier

Researchers at the University of California, Davis have derived a novel range of impedances that result in peak efficiency at power back-off operation conditions for the Doherty power amplifier.

Interposers Made From Nanoporous Anodic Films

Many electronic devices rely on integrated circuits, whereby different electrical components are incorporated into a single chip and connected to one another through interposers. Researchers at UCI and Integra have developed a new interposer that allows for a high density of electrical connections, and whose fabrication is cheaper and easier than conventional methods.

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).

Wearable Monitoring System Better Understands Autism Spectrum Disorder

Researchers at the University of California, Davis have developed a wearable monitoring system to better understand the emotional dysregulation that an individual with an autism spectrum disorder (ASD) may encounter.

MEMS-Based Mirror Array For Optical Beam Forming And Steering

Self-driving cars, drones, robots and other autonomous systems rely on various sensors for obstacle detection and avoidance to navigate safely through environments. One of the most common methods to sense obstacles is light Detection and Ranging (LiDAR), which uses light in the form of a pulsed (or amplitude/frequency modulated CW) laser to measure variable distances. These light pulses—combined with other data recorded by the airborne system— generate precise, three-dimensional information about the shape of the surrounding environment and its surface characteristics. While LiDAR is a well established and utilized system within many mobility companies, it’s large size and high cost-per-unit has prevented its implementation in many commercial applications. Solid state LiDARs with non-mechanical scanning elements have received increasing interests. In particular, the optical phased array (OPA) provides non-mechanical scanning in a compact form factor. More importantly, at reduced size OPAs enable sophisticated beamforming such as simultaneous scanning, pointing, and tracking of multiple objects, or even direct line-of-sight communications. Unfortunately, at large-scale OPAs have been found to have slow response times, making their application for commercial use impossible. Researchers at the University of California, Berkeley, have designed an optical phased array with rapid response time. This novel technology utilizes arrays of micromirrors actuated by micro-electro-mechanical systems (MEMS). This novel OPA operates with a larger field of view, with a wide range of laser wavelengths, and without the need for high voltage electronics. It is also far more compact and sophisticated than bulky and intrusive mechanical LIDAR technologies.

Terahertz (THz) Interconnect Semiconductor with High Energy and Bandwidth Density

Researchers at the University of California, Davis have developed a sub-THz interconnect semiconductor that can operate at high bandwidth densities and high-energy efficiencies.

RF-Powered Micromechanical Clock Generator

Realizing the potential of massive sensor networks requires overcoming cost and power challenges. When sleep/wake strategies can adequately limit a network node's sensor and wireless power consumption, then the power limitation comes down to the real-time clock (RTC) that synchronizes sleep/wake cycles. With typical RTC battery consumption on the order of 1µW, a low-cost printed battery with perhaps 1J of energy would last about 11 days. However, if a clock could bleed only 10nW from this battery, then it would last 3 years. To attain such a clock, researchers at UC Berkeley developed a mechanical circuit that harnesses squegging to convert received RF energy (at -58dBm) into a local clock while consuming less than 17.5nW of local battery power. The Berkeley design dispenses with the conventional closed-loop positive feedback approach to realize an RCT (along with its associated power consumption) and removes the need for a sustaining amplifier altogether. 

Data Storage Device

Magnetic stripe-enabled card applications have been around for over two decades. The use of magnetic and other "chip" smart cards is widespread. for most high security applications, however, downsides remain with current offerings, including the risks of sensitive card information being copied or stolen. Alternatives suing biometrics typically require robust local storage via biometric parameters database or continuous communication with it. Moreover, the biometric parameters associated with such systems are constant and often cannot be modified. To address these problems, researchers at the University of California, Berkeley, have developed a novel approach to storing card information on person without a direct need for a smart cards or biometric recognition features like fingerprint, face, iris, voice, or palmprint.

Improved 3D Transistor

This case helps reinvent the transistor by building on the success of Berkeley’s 3D FinFET/Trigate/Tri-Gate methods and devices, with increased focus on the negative capacitance of the MOS-channel and ferroelectrics, and an unconventional effective oxide thickness approach to the gate dielectric. Proof of concept devices have been demonstrated at 30nm gate length and allow for use of thinner ferroelectric films than 2D negative capacitance transistors (e.g. see http://digitalassets.lib.berkeley.edu/techreports/ucb/text/EECS-2014-226.pdf ). The devices also performed at low operating voltage which lowers operating power.

Wearable Sensor Arrays for Detailed Sweat Profiles

Wearable technologies can play a significant role in realizing personalized medicine through continuously monitoring an individual’s physical and physiological states. Most currently developed wearable technologies are capable only in tracking the physical activities of an individual and fail to provide insight into the individual’s state of health. Human sweat contains the physiologically rich information needed to infer an individual’s sate of health and is an excellent candidate for non-invasive monitoring. The wearable sweat sensors can serve as an ideal platform for a wide range of real-time healthcare monitoring such as exercise-induced dehydration and medical diagnosis.

Signal Statistics Compression-Based Quantization Method in an ADC

The technology is a new architecture for analog-to-digital converters (ADCs).Its properties include the use of unique signal statistics compression quantization technique, lower power than other ADC techniques, no degradation of effective number of bits and conversion rate, and automatic adaption to power-optimized state of input signal.With this technology, users will be able to produce more power efficient ADCs

Augmentated Reality Using Projector-Camera Enabled Devices

The technology is a distributed architecture for a group of projector and camera enabled devices.The features consist of a collaborative network of projector-camera enabled devices which allow multiple projector-camera devices to create a seamless image display on any surface or geometry.This technology is compatible with mobile devices.

A New Method For Improving 3-D Depth Perception

The ability to see depth is a key visual function, as three-dimensional vision is used to guide body movements. Although many visual cues are used to infer spatial relationships, depth perception relies primarily on stereopsis, or the perception of depth based on differences in the images in the two eyes. More than 5% of the US population, however, is unable to see in three dimensions due to stereo-blindness and stereo-anomaly. Without depth perception, basic activities such as catching a ball or driving a car are not possible. Current therapeutic methods to address this issue include a set of eye-training exercises that aim to equalize the input from the eyes to the brain, which are collectively called orthoptics.   Researchers at UC Berkeley have developed an orthoptic method to train stereo depth perception. This method includes devices and systems for implementation, and it can be used in the home. 

Zero-Quiescent Power Transceiver

Trillions of sensors are envisioned to achieve the potential benefits of the internet of things.  Realizing this potential requires wireless sensors with low power requirements such that there might never be a need to replace a sensor’s power supply (e.g. battery) over the lifetime of that device.  The battery lifetime of wireless communications devices is often governed by power consumption used for transmitting, and therefore transmit power amplifiers used in these devises are important to their commercial success.  The efficiencies of these power amplifiers are set by the capabilities of the semiconductor transistor devices that drive them.  To achieve improved efficiencies, researchers at UC Berkeley have developed a novel method and structure for realizing a zero-quiescent power trigger sensor and transceiver based on a micromechanical resonant switch.  This sensor/transceiver is unique in its use of a resonant switch (“resoswitch”) to receive an input, amplify it, and finally deliver power to a load.  This novel technology also greatly improves short-range communication applications, like Bluetooth.  For example, with this technology, interference between Bluetooth devices would be eliminated.  Also, Miracast would work, despite the presence of interfering Bluetooth signals.

Efficient Encoding Of Genomic Data Using Deduplication

Today, storage of genome sequence data relies heavily on compression, using techniques such as Lempil ziv and gziv, which is commonly stored in the .BAM or .SAM file format. Current techniques use standard reference genomes, such as HG19, compiled from a variety of human genomes (For example: http://genome.ucsc.edu/FAQ/FAQreleases.html). The results of many small reads are aligned and stored along with their quality data stores. The impact of whole genome sequencing, particularly in clinical treatment of cancer, will rapidly consume available storage. In 2010, 13M Americans had cancer. With existing technology, a single whole genome sequence for each person would be 39 exabyte’s (39,000 petabytes, 39 million terabytes or 39 billion gigabytes). There simply isn't a storage system that large; since storage capacity only grows at a rate of less than 20% per year. 

Video Frame Synchronization for A Federation of Projector Using Camera Feedback

The technology is a video frame synchronization technique for multiple projector displays.It features technique based on camera feedback and works by adjusting frame display times between projectors.It allows for collaborative displays between resource limited devices.

Microfabrication of High Quality 3-D Structures Using Wafer-Level Glassblowing of Fused Quartz and Ultra Low Expansion Glasses

Micro-glassblowing MEMS fabrication process for low expansion and low loss materials

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