Abstract: A method and apparatus for acquiring point of interest (POI) state information are suggested, which relate to a big data technology in the technical field of artificial intelligence. A specific implementation scheme involves: acquiring a text including POI information within a preset period from the Internet; and recognizing the text by using a pre-trained POI state recognition model, to obtain a two-tuple in the text, the two-tuple including a POI name and POI state information corresponding to the POI name.

Abstract: A method and system for real-time calculating a microseismic focal mechanism based on deep learning is provided, which belongs to the technical field of microseismic monitoring. The method includes: creating a training dataset, the training data including simulated DAS microseismic strain data and a focal mechanism corresponding to the simulated DAS microseismic strain data; training a focal mechanism calculation model by using the training dataset, with the simulated DAS microseismic strain data as an input and the focal mechanism corresponding to the simulated DAS microseismic strain data as a target output, so as to obtain a trained focal mechanism calculation model; collecting DAS microseismic strain data by a surface and downhole DAS acquisition system; performing preprocess operations such as removing abnormally large values on the DAS microseismic strain data; inputting the preprocessed DAS microseismic strain data into a trained focal mechanism calculation model to obtain a focal mechanism.

Abstract: Embodiments of the present disclosure provide a multi-physical field imaging method based on PET-CT and DAS, comprising: wrapping distributed acoustic sensors on a surface of a non-metallic sample to be tested, and then placing them in a pressure device; loading triaxial pressures; preparing a tracer fluid; pumping the tracer fluid into the non-metallic sample; collecting PET images and CT images of internal structure of the non-metallic sample, meanwhile, monitoring internal acoustic emission events of the non-metallic sample in real time; combining the PET images with the CT images, to obtain PET/CT images; locating the acoustic emission events, and obtaining occurrence time and spatial location of internal structural perturbations; and analyzing a mechanism of fluid-solid coupling effect in the non-metallic sample under loaded stress. The imaging method and system of the present disclosure can accurately and reliably image the fluid-solid coupling process in the material.

Abstract: A seismometer with high sensitivity, broadband and all-dip is provided, The which relates to the technical field of seismometer, including a first force feedback module, an insulator, a top cover, a terminal post, an upper leaf spring, a mass block, a casing, a sealing ring, an insulation gasket, a guide spring, a wire frame, a magnetic shoe, a compensation ring, a lower leaf spring, a bottom cover, a second force feedback module and a third force feedback module. It provides the broadband seismometer technology based on dynamic force balance feedback and the all-dip broadband seismometer technology based on dip angle perception, which breaks through the limitations of conventional seismometers in sensitivity, frequency band, and dip angle, and truly realizes a seismometer with high sensitivity, broadband, and all-dip.

Abstract: The present application discloses an integrated self-coherent receiving optical chip based on round-trip delay interferometers, including a first beam splitter, a multi-port circulator array, a first round-trip delay interferometer and a second round-trip delay interferometer integrated on a same substrate, wherein the first beam splitter is connected to the multi-port circulator array, and the multi-port circulator array is connected to the first round-trip delay interferometer and the second round-trip delay interferometer, respectively.

Abstract: Embodiments of the disclosure provide a method and apparatus for running a service, and an electronic device. An embodiment of the method includes: determining a target deployment manner of a graphics processing unit (GPU) according to performance data of each service in a service set, where the deployment manner includes: dividing the GPU into sub-GPUs of a respective size and determining a service configured to be run by each sub-GPU; and switching, for the service in the service set, running of the service from a sub-GPU indicated by a current deployment manner to a sub-GPU indicated by the target deployment manner. According to the embodiment, waste of the GPU can be reduced by running a plurality of services on the GPU.

Abstract: This application provides picture or audio encoding and decoding methods and apparatuses, and relates to the field of artificial intelligence (AI)—based picture or audio encoding and decoding technologies, and specifically, to the field of neural network-based picture feature map or audio feature variable encoding and decoding technologies. The encoding method includes: obtaining a to-be-encoded target, where the to-be-encoded target includes a plurality of feature elements, and the plurality of feature elements include a first feature element. The method further includes: obtaining a probability estimation result of the first feature element; determining, based on the probability estimation result of the first feature element, whether to perform entropy encoding on the first feature element; and performing entropy encoding on the first feature element only when it is determined that entropy encoding needs to be performed on the first feature element.

Abstract: The present application discloses an integrated self-coherent receiving optical chip based on round-trip delay interferometers, including a first beam splitter, a multi-port circulator array, a first round-trip delay interferometer and a second round-trip delay interferometer integrated on a same substrate, wherein the first beam splitter is connected to the multi-port circulator array, and the multi-port circulator array is connected to the first round-trip delay interferometer and the second round-trip delay interferometer, respectively.

Abstract: Embodiments of this application disclose encoding and decoding methods, apparatuses, and devices, a storage medium, and a computer program, which relate to the field of encoding and decoding technologies. In embodiments of this application, in a decoding process, a plurality of feature points are divided into a plurality of groups based on a specified numerical value, and probability distributions of feature points in a same group are determined in parallel to improve decoding efficiency. Correspondingly, in an encoding process, the plurality of feature points are also grouped in a same grouping manner, and first image features of each group of feature points in the plurality of groups are sequentially encoded into a bit stream. To be concise, this solution can break through an efficiency bottleneck caused by serial computing when decoding is performed based on a variational auto-encoder (VAE), thereby effectively improving decoding efficiency.

Abstract: Disclosed is a self-coherent receiver based on polarization-independent delay interferometers, relating to a technical field of optical communication, including a first beam splitter, a first circulator, a second circulator, a first polarization-independent delay interferometer, a second polarization-independent delay interferometer, a first balanced detector, a second balanced detector and an electrical signal processing module.

Abstract: Embodiments of the present disclosure provide a DAS same-well monitoring real-time microseismic effective event identification method based on deep learning, including: constructing a DAS-based horizontal well microseismic monitoring system; constructing a training data set, including microseismic event data, pipe wave data and background noise data with different types of labels; constructing a signal identification module; training the signal identification module by using the training data set; preprocessing actual monitoring data, inputting the preprocessed data into the signal identification module to obtain an output result; marking microseismic events identified in the output result, and updating the marked microseismic events into the training data set; and adjusting and updating the signal identification module. The identification method according to the present disclosure can identify microseismic events in DAS same-well monitoring data in real time and efficiently.

Abstract: A seismometer with high sensitivity, broadband and all-dip is provided, The which relates to the technical field of seismometer, including a first force feedback module, an insulator, a top cover, a terminal post, an upper leaf spring, a mass block, a casing, a sealing ring, an insulation gasket, a guide spring, a wire frame, a magnetic shoe, a compensation ring, a lower leaf spring, a bottom cover, a second force feedback module and a third force feedback module. It provides the broadband seismometer technology based on dynamic force balance feedback and the all-dip broadband seismometer technology based on dip angle perception, which breaks through the limitations of conventional seismometers in sensitivity, frequency band, and dip angle, and truly realizes a seismometer with high sensitivity, broadband, and all-dip.

Abstract: A wireless power transfer arrangement (20) for a wireless power transfer across an airgap (9) by inductive coupling, for example for charging the battery (31) of an electric vehicle, includes a primary side (21) with a primary pad (22) for generating a magnetic field (28) into the airgap (9) and a secondary side (24) arranged on the other side of the airgap (9) that picks up the magnetic field (28) and provides the energy received through the magnetic field (28) to the battery (31). The primary side (21) is for example installed at a charging station and the secondary side (24) is comprised by the electric vehicle. In order to control the charging process during the power transfer, a wireless communication channel (38) is provided between the primary (21) and the secondary (24) by means of two wireless transceivers (35, 36). According to the invention, the wireless transceivers (35, 36) are adapted such that their communication range is less than twice a largest spatial extent of the primary pad.

Abstract: An optical storage integrated lamp, comprising a lamp post, a luminaire, at least one photovoltaic panel, and an energy storage device. The lamp post comprises at least two sections of sub lamp posts, and adjacent two sections of sub lamp posts are detachably connected with each other; the luminaire is detachably mounted at the sub lamp post located at the top of the lamp post; an accommodating cavity is formed in one sub lamp post; the energy storage device is accommodated in the accommodating cavity; the at least one photovoltaic panel is provided on the outer surface of at least one sub lamp post.

Abstract: A power assembly includes a power component and a shell. The shell includes an accommodating structure, a flow diversion structure, a liquid storage structure, a heat dissipation structure, and a heat exchange structure. The accommodating structure is filled with cooling liquid. The flow diversion structure is configured to guide a flow direction of the cooling liquid. The liquid storage structure is configured to store the cooling liquid that is guided by the flow diversion structure to enter the liquid storage structure, and to distribute the cooling liquid that enters the liquid storage structure. The heat dissipation structure is configured to receive the cooling liquid distributed by the liquid storage structure, and to transfer the cooling liquid to the power component to cool the power component. The heat exchange structure is configured to perform heat exchange and cooling on the cooling liquid in the accommodating structure.

Abstract: Embodiments of the present disclosure provide a real-time microseismic magnitude calculation method based on deep learning and a corresponding device. The method includes: constructing a DAS-based horizontal well microseismic monitoring system; constructing a training data set; constructing a magnitude calculation module, wherein the magnitude calculation module comprises two input branches of frequency spectrum and time waveform, the two input branches use a 3-layer convolution structure to extract frequency characteristic and waveform characteristic of a microseismic event, and then a model fusion is performed, and then 2 fully connected layers are used, and finally a calculated magnitude is outputted; training the magnitude calculation module; and analyzing and processing field data.

Abstract: Embodiments of the present disclosure provide a real-time microseismic magnitude calculation method based on deep learning and a corresponding device. The method includes: constructing a DAS-based horizontal well microseismic monitoring system; constructing a training data set; constructing a magnitude calculation module, wherein the magnitude calculation module comprises two input branches of frequency spectrum and time waveform, the two input branches use a 3-layer convolution structure to extract frequency characteristic and waveform characteristic of a microseismic event, and then a model fusion is performed, and then 2 fully connected layers are used, and finally a calculated magnitude is outputted; training the magnitude calculation module; and analyzing and processing field data.

Abstract: The present disclosure provides a wireless communication device and a control method thereof. The wireless communication device includes a first communication control module and a second communication control module.

Abstract: A power module includes a housing, a circuit component, and a package. The housing includes a main housing, a heat sink, and a fastening layer. A first outer surface of the main housing is provided with a groove. The fastening layer is disposed on a bottom surface of the groove. The heat sink is located on a side opposite to an orientation of the groove. The circuit component includes a heat dissipation surface and a pin. The heat dissipation surface is fastened to the fastening layer through welding. The pin extends out of the first outer surface in a direction away from the fastening layer. The package is configured to cover the circuit component, and to at least partially expose a distal end of the pin.

Abstract: Embodiments of the present disclosure provide a multi-physical field imaging method based on PET-CT and DAS, comprising: wrapping distributed acoustic sensors on a surface of a non-metallic sample to be tested, and then placing them in a pressure device; loading triaxial pressures; preparing a tracer fluid; pumping the tracer fluid into the non-metallic sample; collecting PET images and CT images of internal structure of the non-metallic sample, meanwhile, monitoring internal acoustic emission events of the non-metallic sample in real time; combining the PET images with the CT images, to obtain PET/CT images; locating the acoustic emission events, and obtaining occurrence time and spatial location of internal structural perturbations; and analyzing a mechanism of fluid-solid coupling effect in the non-metallic sample under loaded stress. The imaging method and system of the present disclosure can accurately and reliably image the fluid-solid coupling process in the material.