公开(公告)号：US20210181134A1

公开(公告)日：2021-06-17

申请号：US17190119

申请日：2021-03-02

申请人： Rutgers, The State University of New Jersey

发明人： Richard Martin ,  Richard Howard ,  Yanyong Zhang ,  Zhenhua Jia

IPC分类号： G01N27/12 ,  G01N33/00 ,  G06N3/04

摘要： 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.

公开(公告)号：US11754521B2

公开(公告)日：2023-09-12

申请号：US17190119

申请日：2021-03-02

申请人： Rutgers, The State University of New Jersey

发明人： Richard Martin ,  Richard Howard ,  Yanyong Zhang ,  Zhenhua Jia

IPC分类号： G01N27/12 ,  G01N33/00 ,  G06N3/044

CPC分类号： G01N27/125 ,  G01N33/0006 ,  G06N3/044

摘要： 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.

公开(公告)号：US11575459B2

公开(公告)日：2023-02-07

申请号：US17045368

申请日：2019-04-05

申请人： Rutgers, The State University of New Jersey

发明人： Xiaoran Fan ,  Yanyong Zhang ,  Wade K. Trappe ,  Richard E. Howard

IPC分类号： H04K1/00 ,  H04B17/12 ,  H04B17/318

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

公开(公告)号：US20220292819A1

公开(公告)日：2022-09-15

申请号：US17689089

申请日：2022-03-08

申请人： Rutgers, The State University of New Jersey

发明人： Dipankar Raychaudhuri ,  Wuyang Zhang ,  Yanyong Zhang ,  Yunxin Liu ,  Marco Gruteser

IPC分类号： G06V20/20 ,  G06T3/40 ,  G06T7/11 ,  G06V10/22 ,  G06V10/74 ,  G06T11/00 ,  G06V10/82

摘要： 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.