Abstract: A coil device includes a first coil a first coil formed by a first wire wound in a coil shape and a second coil formed by a second wire wound in a coil shape. The first coil includes a first portion provided inside the second coil and a second portion next to the first portion and the second coil along a winding axis of the first portion. A layer number of the first portion in its radial direction is one. A layer number of the second portion in its radial direction is plural.

Abstract: A rigid-flexible coupling multi-degree-of-freedom walking position-adjusting leg unit and a hybrid robot platform thereof is provided and includes a vertical rigid-flexible coupling multi-degree-of-freedom walking position-adjusting leg unit and a horizontal rigid-flexible coupling multi-degree-of-freedom walking position-adjusting leg unit, which both include a moving device, a moving drive, a steering frame, a lifting frame, a spring device and a driving differential wheel set, in combination with a frame, a driver set, a battery pack and a control box, forming a multi-degree-of-freedom parallel mechanism platform. The hybrid robot platform including the rigid-flexible coupling multi-degree-of-freedom walking position-adjusting leg unit as provided by the present disclosure has functions of a rigid position adjustment, an elastic suspension and a rigid-flexible coupling position adjustment, and can automatically adapt to a working condition of the uneven ground.

Abstract: A method for screening pesticide residues in medicine food homology (MFH) characteristic agricultural products includes step 1, a liquid chromatography-mass spectrometry database of pesticides is constructed, standard solution are prepared for the pesticides and liquid chromatography and mass spectrometry are used to detect the standard solutions; step 2, a sample is processed and then is detected to obtain a liquid chromatography-mass spectrogram; step 3, the liquid chromatography-mass spectrogram obtained from step 2 and liquid chromatography-mass spectrograms in the liquid chromatography-mass spectrometry database obtained from step 1 are compared and analyzed individually.

Abstract: The present disclosure relates to the field of communication technologies, and provide a near-field communication (NFC) chip, a phase synchronization method, and an electronic device, to quickly synchronize a transmitted signal of an NFC card device with a carrier of an NFC card reader. The NFC chip includes a processing circuit configured to: determine a first carrier frequency offset between a local clock signal and a carrier clock signal, and generate a first frequency control word based on the first carrier frequency offset. The carrier clock signal is determined based on a received signal received by the NFC chip. The NFC chip further includes a phase-locked loop configured to generate a first clock signal based on the local clock signal and the first frequency control word.

Abstract: This invention relates to methods of treating B-cell malignancies using a combination of inhibitors of JAK1 and/or JAK2 and inhibitors of PI3K?.

Abstract: The present invention a sparse optimization method based on cross-shaped three-dimensional imaging sonar array, comprising the following steps: first, constructing a beam pattern simultaneously applicable to a near field and a far field based on a cross-shaped array; then, constructing an energy function required by sparse optimization according to the beam pattern; then, introducing an array element position disturbance into a simulated annealing algorithm to increase the degree of freedom of the sparse process and increase the sparse rate of the sparse array, and using the simulated annealing algorithm to sparse optimization of the energy function; finally, after optimization, a sparse optimization cross-shaped array is obtained. The present invention ensures that the three-dimensional imaging sonar system has the desired performance at any distance, and greatly reduces the hardware complexity of the system.

Abstract: Provided arm IL15 constructs, a pharmaceutical composition comprising said IL15 constructs, and use of the IL15 constructs or the composition for treating a disease, such as cancer, infectious disease or an immune disorder.

Abstract: A coil inductor includes a first conductive coil, a second conductive coil, a third conductive coil, a first insulation film, and a second insulation film. The first insulation film is disposed on the first conductive coil, and the first insulation film includes at least one first through hole. The second conductive coil is disposed on the first insulation film. The second insulation film is disposed on the second conductive coil, and the second insulation film includes at least one second through hole unaligned with the first through hole. The third conductive coil is disposed on the second insulation film. The first conductive coil is in electric contact with the second conductive coil through a first contact disposed in the first through hole, and the second conductive coil is in electric contact with the third conductive coil through a second contact disposed in the second through hole.

Abstract: The present invention discloses a ViBe-based three-dimensional sonar point cloud image segmentation method, characterized by including: (1) acquiring sonar data, and converting three-dimensional sonar depth image data corresponding to each frame of the sonar data to point cloud data under an orthogonal coordinate system; (2) sampling the point cloud data, and down-sampling the point cloud data to a plurality of adjacent voxels with side length being R by taking a variable resolution R as a function; (3) carrying out image segmentation on the down-sampled point cloud data by a ViBe algorithm; (4) carrying out accumulative scoring on each voxel according to an image segmentation result, and sorting foreground data and background data according to accumulative score; and (5) clustering the foreground data, and then carrying out expansion operation on the foreground data by taking an original point in the voxel as a center to obtain final foreground point cloud data.

Abstract: The present invention had disclosed an embedded processor based 3D acoustic imaging real-time signal processing device of modularized design; the system comprises an embedded GPU signal processing subsystem, a signal interaction subsystem and a signal acquisition subsystem. The system takes Tegra K1 embedded GPU processor as the core; Tegra K1 embedded GPU processor is provided with features of OpenGL4.4, OpenGL ES 3.1 and CUDA, which has high parallel image processing capability and abundant high-speed data interconnection interface; it is especially applicable to high-speed data transmission and effective calculation of image algorithm for 3D acoustic imaging real-time signal processing device. Meanwhile, it can realize high-speed data interaction between signal processing subsystem and numerous signal acquisition subsystems; the whole system has powerful data interaction capability and real-time parallel processing capability.

Abstract: The present invention relates to a kinase inhibitor, comprising a compound represented by formula (I) or a pharmaceutically acceptable salt, solvate, ester, acid, metabolite or prodrug thereof. The present invention further relates to pharmaceutical compositions comprising the kinase inhibitor, as well as to using said compounds and compositions to inhibit cKIT (especially mutant cKIT/T670I), FLT3 (comprising mutant FLT3-ITD), PDGF, PDGF, and/or VEGFR2 kinase activity in cells or a subject, and/or to a use and method for preventing or treating disorders related to cKIT (especially mutant cKIT/T670I), FLT3 (comprising mutant FLT3-ITD), PDGF, PDGF, and/or VEGFR2 activity in a subject.

Abstract: The present invention discloses a point cloud mean background subtraction based method for 3D sonar image modeling, comprising: (1) obtaining sonar data, and convert 3D sonar range image information corresponding to sonar data per frame into point cloud data for overall coordinate; such point cloud data will form image pixels; (2) taking the mean value u(x,y,z) of pixels at the same position in a series sequential frame images as pixels at the same position in the background model to obtain the background model; define threshold value TH for background standard based on pixel in each image; (3) testing current frame image I(x,y,z) based on background model and threshold value TH to obtain output image; (4) using current frame image I(x,y,z) to update background model and threshold value TH.

Abstract: The present invention relates to the field of security technology, and in particular to a fine granularity real-time supervision system based on edge computing. A fine granularity real-time supervision system based on edge computing is provided, comprising: an intelligent video monitoring device, an edge computing module, an edge computing node, and a cloud computing center. The system can reduce the redundant information of the system and realizes fine granularity management.

Abstract: The present invention discloses a distance statistics based method for 3D sonar point cloud image enhancement, comprising the following steps: (1) obtaining sonar data, and converting 3D sonar range image information corresponding to sonar data per frame into point cloud data in global coordinate; (2) using a kd-tree to search the point cloud data, and calculate Euclidean distance Lij between point Pi and the nearest K point cloud data; wherein, value range of i and j is 1?i?N and 1?j?K respectively; N refers to the total quantity of point cloud data; (3) excluding point cloud data corresponding to mean value of Lij which do not match the certain Gaussian distribution, and complete enhancement of 3D sonar point cloud image. Such method features in easy operation, high efficiency and convenience, which can effectively remove outlier points to minimize noise, and enhance point cloud image.

Abstract: The present invention discloses a point cloud mean background subtraction based method for 3D sonar image modeling, comprising: (1) obtaining sonar data, and convert 3D sonar range image information corresponding to sonar data per frame into point cloud data for overall coordinate; such point cloud data will form image pixels; (2) taking the mean value u(x, y, z) of pixels at the same position in a series sequential frame images as pixels at the same position in the background model to obtain the background model; define threshold value TH for background standard based on pixel in each image; (3) testing current frame image I(x, y, z) based on background model and threshold value TH to obtain output image; (4) using current frame image I(x, y, z) to update background model and threshold value TH.

Abstract: The present invention discloses a distance statistics based method for 3D sonar point cloud image enhancement, comprising the following steps: (1) obtaining sonar data, and converting 3D sonar range image information corresponding to sonar data per frame into point cloud data in global coordinate; (2) using a kd-tree to search the point cloud data, and calculate Euclidean distance Lij between point Pi and the nearest K point cloud data; wherein, value range of i and j is 1?i?N and 1?j?K respectively; N refers to the total quantity of point cloud data; (3) excluding point cloud data corresponding to mean value of Lij which do not match the certain Gaussian distribution, and complete enhancement of 3D sonar point cloud image. Such method features in easy operation, high efficiency and convenience, which can effectively remove outlier points to minimize noise, and enhance point cloud image.

Abstract: The present invention a sparse optimization method based on cross-shaped three-dimensional imaging sonar array, comprising the following steps: first, constructing a beam pattern simultaneously applicable to a near field and a far field based on a cross-shaped array; then, constructing an energy function required by sparse optimization according to the beam pattern; then, introducing an array element position disturbance into a simulated annealing algorithm to increase the degree of freedom of the sparse process and increase the sparse rate of the sparse array, and using the simulated annealing algorithm to sparse optimization of the energy function; finally, after optimization, a sparse optimization cross-shaped array is obtained. The present invention ensures that the three-dimensional imaging sonar system has the desired performance at any distance, and greatly reduces the hardware complexity of the system.

Abstract: The present invention relates to the field of security technology, and in particular to a fine granularity real-time supervision system based on edge computing. A fine granularity real-time supervision system based on edge computing is provided, comprising: an intelligent video monitoring device, an edge computing module, an edge computing node, and a cloud computing center. The system can reduce the redundant information of the system and realizes fine granularity management.

Abstract: This invention relates to methods of treating B-cell malignancies using a combination of inhibitors of JAK1 and/or JAK2 and inhibitors of PI3K?.

Abstract: The present invention discloses a ViBe-based three-dimensional sonar point cloud image segmentation method, characterized by including: (1) acquiring sonar data, and converting three-dimensional sonar depth image data corresponding to each frame of the sonar data to point cloud data under an orthogonal coordinate system; (2) sampling the point cloud data, and down-sampling the point cloud data to a plurality of adjacent voxels with side length being R by taking a variable resolution R as a function; (3) carrying out image segmentation on the down-sampled point cloud data by a ViBe algorithm; (4) carrying out accumulative scoring on each voxel according to an image segmentation result, and sorting foreground data and background data according to accumulative score; and (5) clustering the foreground data, and then carrying out expansion operation on the foreground data by taking an original point in the voxel as a center to obtain final foreground point cloud data.