The project aims to develop a state-of-the-art numerical simulator to compute transistor’s physical behaviors at deep cryogenic temperatures. First of its kind, the simulator will incorporate physical effects critical for transistor’s operations at cryogenic temperature such as inelastic scattering, while maintaining computational efficiency and robustness. The successful outcome will provide the research community a widely desired tool for understanding and predicting how realistic MOSFETs behave under deep cryogenic temperatures.
Human-caused bruises, tail lesions caused by tail biting, ear lesions, among other things, in slaughter pigs are detrimental to animal welfare, a violation of the Animal Welfare Act, and a source of public concern. Animal-based indicators of welfare are quantifiable characteristics on the animal that are reflective of what the animal has experienced. The evaluation of animal welfare indicators on swine carcasses could offer a cost-effective method to welfare analysis and quality assurance.
Prototyping of HEV powertrains is cumbersome, expensive, and time-consuming. Thus, design optimization is the most feasible alternative process for accomplishing a good design. This project will identify key system components and develop a high-fidelity model of the hybrid drive train capturing key dynamics. Modes such as engine mode, motor mode, hybrid-parallel mode, regenerative braking mode, and driving modes, such as crawling, take-off, cruise, traffic mode, heavy and frequent braking mode, will be investigated.
As digital communication and big data needs increase in a variety of different fields including education, healthcare, business, public areas, and mission-critical operations, organizations need more efficient and effective ways to distribute and display content. Audio-Visual (AV) over Internet Protocol (IP) provides an innovative solution to provide users with enhanced content in real-time.
This project is aimed to achieve an efficient, flexible and accurate AI-based real-time emulation system of ATAs, which will be carried out to help engineers further their exploration of optimization and design of ATAs. This provides RTDS Technologies Inc. a channel to grasp advanced engineering research (AI-based modeling and real-time emulation with the latest FPGA and MPSoC) and an industrial update plan. Moreover, it is beneficial for RTDS Technologies Inc.
The Multivariate Polynomial Digital Signature Scheme (MPPK-DS) is a new Post-Quantum cryptographic scheme that relies on the hardness of solving a set of multivariate polynomials. The scheme is an ideal candidate for the new NIST call for Post-Quantum digital signature algorithms that intents to diversify the post-quantum signature standards. In this project, we will work on proposing an optimized implementation for MPPK-DS on both ARM Cortex M4 as well as ARM Cortex M0 processors and present its benchmarking results from speed and memory perspectives.
Failure in pipelines may have financial and life-threatening consequences. High-quality weld joints in pipelines can avoid these consequences and improve the company’s productivity and reputation. To improve the weld quality, an efficient solution is to detect the defects. A collaboration of human and robots can provide an accurate, robust defect detection system. This system requires sensors to observe and record the information during the welding process. It also requires an Artificial Intelligence (AI) model to distinguish the defective and normal data.
The proposed research project is focused on customizable medical tattoo electrodes used on patients in different clinical settings. These electrodes are placed in specific places on the body and are connected to medical signal acquisition systems to collect different medical signals. The signals can include ECG (heart) signals and EMG (muscle) signals, and these signals can be used to diagnose or simply monitor the respective systems (cardiac and skeletomuscular) in the body. This project is part of the Lab2Market program.
Diabetes mellitus, commonly known as diabetes, has been estimated to affect 450 million people in the global population. To date, there is no cure for diabetes; however, it can be controlled by regulating the sugar intake in the blood. The traditional self-monitoring devices are invasive and require the user to prick their fingers and extract blood drops to measure blood glucose based on chemical reactions, which is a painful process and processes a risk of infection.
Age-verification mandatory procedure for delivering certain services and products. Traditionally, identification documents have been a common mechanism of age-verification. However, this current strategy is subject to certain risks regarding privacy protection and online forgery. This demonstrates the value in anonymous age verification schemes using biometrics. Considering its age-dependent attributes, Electrocardiogram (ECG) is a potential solution. Preliminary experiments have been conducted regarding age estimation- classification from ECG obtained in clinical settings.