Rutgers, The State University of New Jersey

Yanyong Zhang

Richard E Howard

Yunxin Liu

Marco Gruteser

Dipankar Raychaudhuri

Richard P Martin

Xiaoran Fan

Wade K Trappe

Zhenhua Jia

Wuyang Zhang

Computer vision systems and methods for acceleration of high-resolution mobile deep vision with content-aware parallel offloading are provided. The system allows for acceleration of deep vision applications running on mobile devices via offloading of machine learning computations on edge cloud infrastructure, and speeds up computation via parallel processing on the edge cloud, employing one or more of the following processes: recurrent region proposal prediction, region proposal centric frame partitioning, and resource-aware offloading to multiple processors. Mobile deep vision applications can utilize the systems and methods disclosed herein to accelerate application processing. The system offloads computation to multiple servers to minimize the end-to-end latency, and includes a high-resolution mobile deep vision task acceleration system that offloads computation to multiple (edge located) servers.

Computer vision systems and methods for acceleration of high-resolution mobile deep vision with content-aware parallel offloading

Systems and methods of applying a prediction model to metal oxide sensors that change their electric resistances in response to surrounding gas concentrations for predicting equilibrium state resistance values of the sensors. The method includes heating a metal oxide sensor to for a predetermined period of time for the metal oxide sensor to interact with a surrounding gas; sampling transient resistance values of the metal oxide sensor to obtain sampled transient resistance values; determining an electrical resistance of the metal oxide sensor in a chemical equilibrium state of the interaction of the metal oxide sensor and the surrounding gas via applying a neural network; and determining a concentration level of the surrounding gas at the chemical equilibrium state by mapping the determined electrical resistance to a corresponding concentration level of the surrounding gas.

Systems and methods for low-power gas monitoring

Various embodiments comprise systems, methods, architectures, mechanisms or apparatus for wireless secret communication with a device.

Secure communications through distributed phase alignment

Growing community of inventors

New Brunswick, NJ, United States of America

Yanyong Zhang