Abstract: 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.

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

Abstract: 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.

Abstract: 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.

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

Abstract: The present invention applies to the communications field and provides a method and an apparatus for remotely locating a wireless network fault. The method includes: collecting a running parameter of a wireless network on a terminal side; and sending the collected running parameter of the wireless network on the terminal side to a server. Then the server compares the running parameter of the wireless network on the terminal side with a running parameter of the wireless network on an access point side and which part of the wireless network has a fault is determined according to a comparison result, so that detection is unnecessary on the terminal side when the wireless network is detected to be abnormal on the access point side, thereby improving troubleshooting efficiency and saving labor and reducing costs.

Abstract: The present invention applies to the communications field and provides a method and an apparatus for remotely locating a wireless network fault. The method includes: collecting a running parameter of a wireless network on a terminal side; and sending the collected running parameter of the wireless network on the terminal side to a server. Then the server compares the running parameter of the wireless network on the terminal side with a running parameter of the wireless network on an access point side and which part of the wireless network has a fault is determined according to a comparison result, so that detection is unnecessary on the terminal side when the wireless network is detected to be abnormal on the access point side, thereby improving troubleshooting efficiency and saving labor and reducing costs.