Abstract: An X-ray generating apparatus and an imaging device. The X-ray generating apparatus includes: a casing; a heat-conduction member, the heat-conduction member being arranged to run through the casing, and a through-channel being provided in the interior of the heat-conduction member, the through-channel being configured to circulate a cooling medium; an anode target, the anode target being configured to receive electron bombardment in order to generate X-rays, and the anode target is arranged in the casing and surrounding the heat-conduction member in a rotatable fashion. The imaging device includes a cooling system and an X-ray generating apparatus. The cooling system is in communication with two ends of the heat-conduction member, and the cooling system is configured to convey a cooling medium into the heat-conduction member.

Abstract: A joint assembly, a swing device and a robot are provided. The joint assembly includes a movable part defining a movable groove and a rotating part. The rotating part includes a rotating body being a spherical shape. The rotating body is rotatably received in the movable groove to adapt to the movable part. The rotating part defines an air hole with an air inlet and an air outlet. The air inlet is configured to receive introduced air, and the air outlet is configured to expel the air to the movable groove.

Abstract: The invention discloses a bionic laminated thermal insulation material, which imitates a multi-thin laminated and thin-layer micro-pore structure of Sequoia sempervirens bark with fire resistance, corrosion resistance and excellent thermal insulation performance. A low thermal conductivity microporous powder is used as main raw material, while reinforcing agent, plasticizer and porosity agent are added to form microporous thin-layer units, and each thin-layer unit is bonded and laminated to make a laminated thermal insulation material. The thermal conductivity of the finished products is as low as 0.02˜0.05 W/m·k, with good thermal insulation and mechanical properties, which can be used in a temperature range below 1000° C., with better thermal insulation and energy-saving effect and toughness than ordinary thermal insulation materials, significantly reducing the thickness of the insulation layer, and can be widely used in industrial furnaces, thermal engineering devices, insulation pipes and other fields.

Abstract: A curing agent for disposal of municipal solid waste incineration (MSWI) fly ash and a preparation method and use method thereof are provided. In the present disclosure, a loofah nanofiber crystal, a rice husk ash (RHA), sodium hydroxide, and water are adopted as raw materials to prepare the curing agent, and the curing agent can effectively realize the safe disposal and curing of heavy metals in an MSWI fly ash. The highest curing rates of the curing agent for heavy metals Pb2+, Zn2+, Cd2+, Cr3+, and Cu2+ can reach 99.7%, 99.4%, 99.5%, 98.7%, and 99.5%, respectively. The special three-dimensional (3D) cross-linked network structure of the loofah nanofiber crystal and the excellent physical and chemical adsorption properties and ion exchange capacity of the RHA are fully used in the curing agent of the present disclosure.

Abstract: This application provides a fingerprint collection apparatus. According to the fingerprint collection method and the related apparatus that are provided in this application, a sensor array is divided into a plurality of areas in terms of a column based on a quantity of input ports of an analog front end component and a quantity of columns of the sensor array, and sensor units in different areas multiplex input channels of the analog front end component by using switches. In this way, when scanning row scanning lines in the sensor array, a row scanning circuit may control the switches to output, to the analog front end component in a time division manner, original fingerprint data collected by the sensor units in the different areas, so that fewer input channels of the analog front end component can be required, and a size of a fingerprint collection apparatus can be reduced.

Abstract: A method, system, and computer program product for graph-based searching for one or more data streams is disclosed. A computer-implemented method comprises extracting a plurality of tuples from one or more data streams. The method further comprises generating a graph for the plurality of tuples in which a node represents a tuple of the plurality of tuples and an edge represents a correlation between the node and another node, and the edge is generated based at least partly on one or more predetermined queries for the one or more data streams. The method further comprises traversing the graph based on the one or more predetermined queries. Accordingly, embodiments of the present disclosure can improve the search speed by use of the graph-based searching for one or more data streams.

Abstract: Facilitation of determination of detailed location of a source signal is provided. In one embodiment, a device comprises a memory that stores computer executable components; and a processor that executes computer executable components stored in the memory. The computer executable components can comprise: a low-resolution computation logic component that implements a coarse algorithm and determines an approximate direction of arrival (DOA) of a source signal of an input signal, wherein the coarse algorithm uses both a coarse spatial grid and input data received from the input signal to determine the approximate DOA; and an error estimation logic component that estimates an estimation error of the coarse algorithm, and wherein the error estimation logic component uses the estimation error and the approximate DOA to determine a spatial interval range.

Abstract: A computer implemented method, computer system and computer program product are provided for acoustic event detection in polyphonic acoustic data, according to the method, polyphonic acoustic data is inputted by one or more processing units into a trained neural network trained by labeled monophonic acoustic data, a first output from a hidden layer of the trained neural network is obtained by one or more processing units, and at least one acoustic classification of the polyphonic acoustic data is determined by one or more processing units based on the first output and a feature dictionary learnt from the trained neural network.

Abstract: A method, computer system, and a computer program product for adaptively selecting an acoustic feature extractor in an Artificial Intelligence system is provided. The present invention may include acquiring a frame of an acoustic signal. The present invention may include checking a status of a flag to be used to indicate a proper acoustic feature extractor to be selected. The present invention may include processing the frame of the acoustic signal by the selected acoustic feature extractor indicated by the checked status. The present invention may include determining, based on data generated in the processing of the frame of the acoustic signal, an actual status of the frame of the acoustic signal. The present invention may include updating the status of the flag according to the actual status.

Abstract: A method, system, and computer program product for graph-based searching for one or more data streams is disclosed. A computer-implemented method comprises extracting a plurality of tuples from one or more data streams. The method further comprises generating a graph for the plurality of tuples in which a node represents a tuple of the plurality of tuples and an edge represents a correlation between the node and another node, and the edge is generated based at least partly on one or more predetermined queries for the one or more data streams. The method further comprises traversing the graph based on the one or more predetermined queries. Accordingly, embodiments of the present disclosure can improve the search speed by use of the graph-based searching for one or more data streams.

Abstract: This application provides a fingerprint collection apparatus. According to the fingerprint collection method and the related apparatus that are provided in this application, a sensor array is divided into a plurality of areas in terms of a column based on a quantity of input ports of an analog front end component and a quantity of columns of the sensor array, and sensor units in different areas multiplex input channels of the analog front end component by using switches. In this way, when scanning row scanning lines in the sensor array, a row scanning circuit may control the switches to output, to the analog front end component in a time division manner, original fingerprint data collected by the sensor units in the different areas, so that fewer input channels of the analog front end component can be required, and a size of a fingerprint collection apparatus can be reduced.

Abstract: A method, system, and computer product for anomaly detection in a sensor network. The method comprises: receiving measurements from a plurality of sensors in the sensor network. The method further comprises performing a graph Fourier transform on the measurements to obtain a spectrum. The graph Fourier transform is defined by a graph structure generated from the plurality of sensors. The method further comprises generating an anomaly alert in response to high frequency components of the spectrum exceeding a first threshold.

Abstract: Techniques for parsing a message comprising at least one data field are provided. One computer-implemented method comprises: determining, by an electronic device operatively coupled to a processing unit, a first model from a first category of data processing models; and determining, by the electronic device, a second model from a second category of data processing models, the second category being different from the first category. The computer-implemented method also comprises comparing, by the electronic device, performance of a first combined model of first and second models with performance of the first model; and selecting, by the electronic device, a target model for processing data from the first combined model and the first model based on the comparing.

Abstract: An optical fiber comprises, from a center to a periphery, a fiber core of undoped silica; a cladding layer; and a coating of polyacrylate, wherein the fiber core has a radius of 5 to 7 ?m and an ellipticity of less than 1.5%, the cladding layer with an ellipticity of less than 0.4% comprises inner, intermediate, and outer cladding layers, the inner cladding layer being doped with fluorine of 5 to 12 ?m thickness, and refractive index difference to fiber core of ?0.4 to ?0.2%, the outer cladding layer being undoped quartz of 25 to 45 ?m thickness, and the coating comprises an inner coating of 25 to 40 ?m thickness, and an outer coating of 25 to 35 ?m thickness and an ellipticity of less than 2%. The optical fiber has high durability and large effective transmission area, a method and system for preparing such optical fiber are also disclosed.

Abstract: The disclosure is related to a circuitry system and a method for processing interrupt priority. The circuitry system is such as a system-on-chip that operates the method. The high-priority interrupt is configured to be always on and prohibited from accessing a critical section. When a high-priority interrupt occurs as a processor of the system is in operation, the processor sets a low-priority interrupt to access the critical section where the high-priority interrupt accessed previously. When the low-priority interrupt is terminated, the processor determines whether or not to wake up the unfinished task that is previously set for the high-priority interrupt. The processor continues processing the task since the task has not been finished. The circuity system can therefore retain the characteristics of all disabled interrupts and also maintain an instantaneity for the important tasks of the system.

Abstract: A method, computer system, and a computer program product for adaptively selecting an acoustic feature extractor in an Artificial Intelligence system is provided. The present invention may include acquiring a frame of an acoustic signal. The present invention may include checking a status of a flag to be used to indicate a proper acoustic feature extractor to be selected. The present invention may include processing the frame of the acoustic signal by the selected acoustic feature extractor indicated by the checked status. The present invention may include determining, based on data generated in the processing of the frame of the acoustic signal, an actual status of the frame of the acoustic signal. The present invention may include updating the status of the flag according to the actual status.

Abstract: A method, system, and computer program product for graph-based searching for one or more data streams is disclosed. A computer-implemented method comprises extracting a plurality of tuples from one or more data streams. The method further comprises generating a graph for the plurality of tuples in which a node represents a tuple of the plurality of tuples and an edge represents a correlation between the node and another node, and the edge is generated based at least partly on one or more predetermined queries for the one or more data streams. The method further comprises traversing the graph based on the one or more predetermined queries. Accordingly, embodiments of the present disclosure can improve the search speed by use of the graph-based searching for one or more data streams.

Abstract: A method, computer system, and a computer program product for adaptively selecting an acoustic feature extractor in an Artificial Intelligence system is provided. The present invention may include acquiring a frame of an acoustic signal. The present invention may include checking a status of a flag to be used to indicate a proper acoustic feature extractor to be selected. The present invention may include processing the frame of the acoustic signal by the selected acoustic feature extractor indicated by the checked status. The present invention may include determining, based on data generated in the processing of the frame of the acoustic signal, an actual status of the frame of the acoustic signal. The present invention may include updating the status of the flag according to the actual status.