Abstract: The present disclosure discloses an intelligent device navigation method and navigation system. The method comprises the following. Construct a plurality of antennas on a network card in the intelligent device into a linear antenna array. By using the linear antenna array, acquire channel state information of a wireless signal, and estimate an angle of arrival (AoA) and a time of flight (ToF) between the wireless signal transmitting device and the intelligent device. Measure inertial parameters of the intelligent device. Perform data fusion of the AoAs, the ToFs and the inertial parameters to estimate a state variable of the intelligent device. Adjust a motion state of the intelligent device with reference to the state variable, thereby achieving autonomous navigation of the intelligent device. The disclosure can estimate the state of the intelligent device by using wireless signals ubiquitous in the surrounding environment in a GPS unreliable environment.

Abstract: The present disclosure discloses an intelligent device navigation method and navigation system. The method comprises the following. Construct a plurality of antennas on a network card in the intelligent device into a linear antenna array. By using the linear antenna array, acquire channel state information of a wireless signal, and estimate an angle of arrival (AoA) and a time of flight (ToF) between the wireless signal transmitting device and the intelligent device. Measure inertial parameters of the intelligent device. Perform data fusion of the AoAs, the ToFs and the inertial parameters to estimate a state variable of the intelligent device. Adjust a motion state of the intelligent device with reference to the state variable, thereby achieving autonomous navigation of the intelligent device. The disclosure can estimate the state of the intelligent device by using wireless signals ubiquitous in the surrounding environment in a GPS unreliable environment.

Abstract: A method for user-desired delay estimation for mobile-cloud applications includes: collecting, by a mobile device, data for a mobile application using at least one of sensors, an application logger and a user feedback module of the mobile device; inferring, by the mobile device, a quality of experience based on the collected data; determining, by the mobile device, a desired delay based on the inferred quality of experience; and offloading, by the mobile device, a task to a cloud together with the desired delay.

Abstract: A method for fingerprint recognition utilizes an auto encode decode network to perform feature extraction on a first fingerprint image acquired by a fingerprint sensor and a second fingerprint image retrieved from a database. First and second fingerprint features corresponding to the first and second fingerprint images are thus obtained. The first and second fingerprint features may have equal dimensionality. Dimensionality reduction may be performed on the first and second fingerprint features to respectively obtain third and fourth fingerprint features. The third and fourth fingerprint features may have equal dimensionality. A cosine distance between the third and fourth finger print features may determine whether the first fingerprint image and the second fingerprint image belong to a same fingerprint.

Abstract: The present disclosure relates to a method, device and computer-readable storage medium for video display. The method includes detecting a first trigger action on a first screen area; determining a trigger position corresponding to the first trigger action; determining a first set of parameters of an observation window based on the trigger position, wherein the observation window is centered on the trigger position; generating a second screen area based on the first set of parameters of the observation window; enlarging the second screen area to a size of the first screen area; and displaying the enlarged second screen area in place of the first screen area.

Abstract: A method for fingerprint recognition utilizes an auto encode decode network to perform feature extraction on a first fingerprint image acquired by a fingerprint sensor and a second fingerprint image retrieved from a database. First and second fingerprint features corresponding to the first and second fingerprint images are thus obtained. The first and second fingerprint features may have equal dimensionality. Dimensionality reduction may be performed on the first and second fingerprint features to respectively obtain third and fourth fingerprint features. The third and fourth fingerprint features may have equal dimensionality. A cosine distance between the third and fourth finger print features may determine whether the first fingerprint image and the second fingerprint image belong to a same fingerprint.

Abstract: A method for user-desired delay estimation for mobile-cloud applications includes: collecting, by a mobile application running on a mobile device, data using at least one of sensors, an application logger and a user feedback module of the mobile device; inferring, by the mobile device, a quality of experience based on the collected data; determining, by the mobile device, a desired delay based on the inferred quality of experience; and offloading, by the mobile device, a task to a cloud together with the desired delay.