Abstract: A fast magnetic resonance imaging method and system, the method comprising: applying a periodic radio-frequency pulse train to drive the magnetization vector of an imaging volume into a steady state (102); acquiring a free induction decay (FID) signal and an echo signal alternately in a steady-state free precession sequence (104); conducting an FID signal imaging and a T2-weighted imaging (106). Alternate acquisition of the FID signal and the echo signal in the steady-state free precession sequence effectively increases the signal-to-noise ratio (SNR) of the acquired signals and reduces the sensitivity of the sequence to motions.

Abstract: A multi-media slicing and transcoding method includes: slice the multi-media with a specified unit, to get multiple sections; obtain length of the vague area in section; elongate a redundant length to two opposite ends of each section, wherein the redundant length it equal to the length of the vague area; transcode the sections after elongating the redundant length; cut the elongating redundant length from two opposite ends of each section after transcoding; and piece the sections after cutting together. This invention still provides a multi-media slicing and transcoding system. The multi-media slicing and transcoding method and system eliminate boundary vague area after piecing, and ensure a better effect. Furthermore, this invention still provides a computing storage medium.

Abstract: The present disclosure discloses a cloud robot system, including: a cloud computing platform and at least one robot; wherein the cloud computing platform is used for receiving perform information sent by the at least one robot in the system; the perform information includes data, status and requests of the at least one robot; the cloud computing platform is used for processing the data and status, sending process results back to the at least one robot, and sending control instructions to corresponding robot according to the requests; the at least one robot is used for sending the perform information to the cloud computing platform, receiving process results from the cloud computing platform, and performing according to the control instructions sent from the cloud computing platform. By using the present disclosure, computing ability and storage capacity of the robots can be expanded unlimited, while the thinking ability and memory of the robots are improved.

Abstract: The present disclosure relates to a multi-sensor indoor localization method and device. The method includes: an optical signal is received from a point light source using an optical sensor group having N optical sensors; the light intensity of the optical signal is obtained, the optical sensor group includes a polyhedron-shaped base where the normal vectors of each three faces are linearly independent, the N optical sensors are located on the faces of the base, and N?6; the current heading is obtained by a magnetic sensor group; a current unit normal vector is obtained; a system of at least three equations is established; the system of equations is solved to obtain an approximate solution of minimum residual, the approximate solution is regarded as the coordinates of the optical sensor group.

Abstract: A slip rate detection method and a detection system for detecting the slip rate of an electric vehicle using the method. The slip rate of an electric vehicle is measured by measuring the motor voltage, motor current, and motor rotational speed of the drive motor. The detection system includes a motor rotational speed detection unit, a motor voltage detection unit, and a motor current detection unit, all connected to the drive motor. The motor rotational speed detection unit, the motor voltage detection unit, and the motor current detection unit are connected to a slip rate calculation unit by means of a motor rotational speed signal processing unit, a voltage signal processing unit, and a current signal processing unit, respectively. The slip rate calculation unit is configured with a slip rate calculation formula. The formula is determined according to the drive motor type.

Abstract: A method and devices are disclosed to detect bright brain regions (BBRs) from clinical non-enhanced computed tomography images through large grayscale, large grayscale asymmetry with respect to the midsagittal plane (MSP), and large grayscale local contrast. An adaptive approach is disclosed to determine thresholds of the 3 features and adjust the window width for data conversion. The substantial grayscale variability of BBRs for a subject is addressed by finding the bright portion followed by recovering. Those BBR voxels symmetrical to the MSP are recovered, partial volume effects are compensated and the high grayscale regions which may not correspond to intracerebral hemorrhage are excluded. The disclosed method and system could be a useful tool to aid classifying stroke types, quantifying intracerebral hemorrhage and enhancing stroke therapy.

Abstract: An urban scenes reconstruction method includes: acquiring digital data of a three-dimensional subject, the digital data comprising a 2D photograph and a 3D scan; fusing the 3D scan and the 2D photograph to create a depth-augmented photograph; decomposing the depth-augmented photograph into a plurality of constant-depth layers; detecting repetition patterns of each constant-depth layer; and using the repetitions to enhance the 3D scan to generate a polygon-level 3D reconstruction.

Abstract: A slip rate detection method and a detection system for detecting the slip rate of an electric vehicle using the method. The slip rate of an electric vehicle is measured by measuring the motor voltage, motor current, and motor rotational speed of the drive motor. The detection system includes a motor rotational speed detection unit, a motor voltage detection unit, and a motor current detection unit, all connected to the drive motor. The motor rotational speed detection unit, the motor voltage detection unit, and the motor current detection unit are connected to a slip rate calculation unit by means of a motor rotational speed signal processing unit, a voltage signal processing unit, and a current signal processing unit, respectively. The slip rate calculation unit is configured with a slip rate calculation formula. The formula is determined according to the drive motor type.

Abstract: The present disclosure relates to a system for physiological signal quality assessment, the system includes: a first filter module for implementing a filter process on an inputted first physiological signal; a first periodicity detection module for detecting periodicity of the filtered first physiological signal, and determining periodic segmentation point of the first physiological signal; a feature extracting module for extracting corresponding signal features of the first physiological signal in each heart period; and a fuzzy logic module for building up a fuzzy logic model according to the extracted signal features, and calculating a signal quality index for the first physiological signal in the relative period based on the built fuzzy logic model, and determining a signal attribute according to the signal quality index. A method for physiological signal quality assessment is provided as well.

Abstract: An urban scenes reconstruction method includes: acquiring digital data of a three-dimensional subject, the digital data comprising a 2D photograph and a 3D scan; fusing the 3D scan and the 2D photograph to create a depth-augmented photograph; decomposing the depth-augmented photograph into a plurality of constant-depth layers; detecting repetition patterns of each constant-depth layer; and using the repetitions to enhance the 3D scan to generate a polygon-level 3D reconstruction.