Abstract: The present disclosure provides an anti-PID encapsulation adhesive film, a photovoltaic module, and a photovoltaic module manufacturing method. The anti-PID encapsulation adhesive film includes a base adhesive film layer, an insulating layer, and a conductive layer. The insulating layer is located on one side surface of the base adhesive film layer. The insulating layer has a grid structure. The grid structure includes grid lines and a plurality of hollow portions defined by the grid lines. The grid lines have a structure corresponding to gaps between cell pieces. The conductive layer includes a plurality of conductive portions. The conductive portions are arranged in the hollow portions in one-to-one correspondence. The volume resistivity of the conductive portions is less than 100 ?·cm.

Abstract: The present invention provides a multi-modal data prediction method based on a causal Markov model, belonging to the technical field of intelligent traffic technology; the method of the present invention includes: collecting regional data and multi-modal traffic data of a research region; taking the time position, the regional point of interest and the weather information as conditional feature variables; taking the regional attraction factor, the bicycle demand factor, the taxi demand factor, the bus demand factor and the traffic speed factor as physical concept variables; taking the bicycle traffic flow, the taxi traffic flow, the bus traffic flow and the regional speed as multi-modal traffic data observation variables, and describing the generation process of the multi-modal traffic flow by using a causal Markov process; solving the causal Markov process by using a neural network, and training a built neural network for the multi-modal traffic data observation.

Abstract: The system is configured to locate, track and/or analyze activities of living beings in an environment. The system does not require the input of personal biometric data. The sensor system detects infrared (IR) energy from a living being moving in an environment, determines a temperature of the living being based on IR energy data of the IR energy, projects the temperature onto a grid having sequential pixels, determines serial changes of the temperature in the sequential pixels and determines a trajectory of the living being based on the serial changes of the temperature in the sequential pixels.

Abstract: Disclosed are a dynamic error measurement apparatus, system, and method for an electricity meter. The measurement apparatus includes a test signal generation unit configured to generate a voltage test signal and two-circuit current test signals, output the voltage test signal to a measurement unit, and output the two-circuit current test signals to the measurement unit and a current summation unit; the measurement unit configured to determine two-circuit electric energy values based on the voltage test signal and the two-circuit current test signals, and output the two-circuit electric energy values to a calculation control unit; the current summation unit configured to determine a combined current signal based on the two-circuit current test signals; and the calculation control unit configured to determine a total electric energy value based on the two-circuit electric energy values. The system includes a standard meter and a measurement apparatus.

Abstract: Methods for input/output voltage training of a three-dimensional (3D) memory device is disclosed. The method can comprise the following operations: (1) setting a reference voltage value at an on-die termination (ODT) enabled status; (2) controlling the 3D memory device to perform a write training process; (3) determining whether a further write training process is needed; (4) in response to determining that the further write training process is needed, repeating operations (1), (2) and (3); and (5) in response to determining that the further write training process is not needed, setting the reference voltage value as an optimized reference voltage value.

Abstract: Provided are a boron-silicon heterocyclic compound having a structure represented by formula 1, a display device and a display apparatus. In formula 1, L1 and L2 are each a single bond, C6-C30 arylene, C6-C30 fused arylene, C4-C30 heteroarylene, or C4-C30 fused heteroarylene; D1 and D2 are each a substituted or unsubstituted C6-C60 aryl, a substituted or unsubstituted C4-C60 heteroaryl, a substituted or unsubstituted C10-C60 fused aryl, a substituted or unsubstituted C8-C30 fused heteroaryl, or a substituted or unsubstituted diphenylamino. The compound has a strong inductive effect and can reduce the driving voltage of the device. The silacyclopentadiene having a silicon atom as spiro-atom can effectively improve the solubility of the material, which is beneficial to the cleaning of the vapor deposition mask. In addition, the compound has a higher triplet energy level to effectively transfer energy to the luminous body, and improves the efficiency of the device.

Abstract: Provided is a molding method of a sealing cover, realized by setting up a sealing cover mold, the mold includes a cavity and a core group arranged in the cavity, including setting up a first core and a second core, the mold opening direction of the first core and the second core are not parallel. The present application does not need a process hole to perform the injection molding of the sealing cover with a fastening structure, whose sealing is also better.

Abstract: Disclosed herein is a method for improving Inclined Plane tracking (IPT) property at voltage higher than 1 kV by using a polyamide composition. The polyamide composition includes a) 10 to 50 wt % of at least one semi-crystalline aliphatic polyamide having on average, from 3 to 5 carbon atoms, not including the carbon atom in the carbonyl group, per amide group; b) 1 to 40 wt % of at least one long-chain aliphatic polyamide having on average equal to or more than 6 carbon atoms, not including the carbon atom in the carbonyl group, per amide group; c) 0 to 35 wt % of flame retardant; d) 0 to 50 wt % of fibrous and/or particulate filler; e) 1 to 25 wt % of impact modifier, and f) 0 to 20 wt % of other additives.

Abstract: Provided is a molding method of a sealing cover, realized by setting up a sealing cover mold, the mold includes a cavity and a core group arranged in the cavity, including setting up a first core and a second core, the mold opening direction of the first core and the second core are not parallel. The present application does not need a process hole to perform the injection molding of the sealing cover with a fastening structure, whose sealing is also better.

Abstract: The invention relates to a polyurethane composition for preparing composites, a polyurethane composite obtained by the preparation and a method for preparing the polyurethane composite. The polyurethane composition comprises: a) an isocyanate component; b) an isocyanate-reactive component; c) a radical reaction initiator and d) an organometallic catalyst; wherein the hydroxyl value of the component b) isocyanate-reactive component is 200 mgKOH/g to 700 mgKOH/g, and the molar ratio of isocyanate groups to hydroxyl groups of the composition is 0.6 to 1.5. The polyurethane composition of the present invention has the advantages of long pot life and simple operation process. The polyurethane composite comprising the polyurethane resin matrix prepared by the polyurethane composition of the present invention has both excellent weather resistance and mechanical strength.

Abstract: The present disclosure generally relates to systems and techniques for constructing three-dimensional (3D) models. Certain aspects of the present disclosure provide an apparatus for model generation. The apparatus generally includes a memory, and one or more processors coupled to the memory. The one or more processors and the memory may be configured to receive one or more images depicting an object to be modeled, determine a category associated with the object to be modeled, select a shape of a space based on the category, and generate a 3D model of the object at least in part by carving one or more points associated with the space based on the one or more images depicting the object.

Abstract: The invention relates to a composition for preparing a flexible foam and its application. The composition comprises the following components: a. an isocyanate mixture; b. a polymer polyol mixture; c. an isocyanate-reactive group-containing compound having a number average molecular weight of 32-400 g/mol; d. an aqueous alkali metal salt and/or ammonium bicarbonate solution, having a concentration of greater than or equal to 1.5 wt % and less than 30 wt %, and a pH value of less than 9.5; and e. a metal catalyst; wherein the amount of the tertiary amine catalyst in the composition is not more than 0.1 wt %, and the isocyanate index of the composition is 70-120. The composition has a high reaction efficiency and can meet the quantitative production requirements of the textile industry.

Abstract: Embodiments and examples are disclosed for intelligent vehicle diagnostics using driving behavior modeling and monitoring. For one example, a data processing system for a vehicle includes a plurality of sensors and a vehicle control unit (VCU). The VCU may sample the output from each of the plurality of sensors and assemble a dataset which may be transmitted to a cloud computing center. The cloud computing center may apply statistical machine learning algorithms to the dataset and training data to develop a model of a user's expected driving behavior. The cloud computing center may transmit the model to the vehicle, wherein the VCU may utilize the model to monitor the user's driving behavior. In response to detecting driving behavior that is anomalous to the expected driving behavior, the VCU may diagnose the cause of the anomalous behavior and take one or more preventative actions based on the diagnosis.

Abstract: Systems and techniques are provided for performing video-based activity recognition. For example, a process can include generating a three-dimensional (3D) model of a first portion of an object based on one or more frames depicting the object. The process can also include generating a mask for the one or more frames, the mask including an indication of one or more regions of the object. The process can further include generating a 3D base model based on the 3D model of the first portion of the object and the mask, the 3D base model representing the first portion of the object and a second portion of the object. The process can include generating, based on the mask and the 3D base model, a 3D model of the second portion of the object.

Abstract: Systems and techniques are provided for performing video-based activity recognition. For example, a process can include generating a three-dimensional (3D) model of a first portion of an object based on one or more frames depicting the object. The process can also include generating a mask for the one or more frames, the mask including an indication of one or more of regions of the object. The process can further include generating a 3D base model based on the 3D model of the first portion of the object and the mask, the 3D base model representing the first portion of the object and a second portion of the object. The process can include generating, based on the mask and the 3D base model, a 3D model of the second portion of the object.

Abstract: Provided is a molding method of a sealing cover, realized by setting up a sealing cover mold, the mold includes a cavity and a core group arranged in the cavity, including setting up a first core and a second core, the mold opening direction of the first core and the second core are not parallel. The present application does not need a process hole to perform the injection molding of the sealing cover with a fastening structure, whose sealing is also better.

Abstract: The present invention relates to novel thermolatent catalysts for the manufacture of isocyanurate and polyisocyanate polymers.

Abstract: A method for generating speech through multi-speaker neural text-to-speech (TTS) synthesis is provided. A text input may be received (1410). Speaker latent space information of a target speaker may be provided through at least one speaker model (1420). At least one acoustic feature may be predicted through an acoustic feature predictor based on the text input and the speaker latent space information (1430). A speech waveform corresponding to the text input may be generated through a neural vocoder based on the at least one acoustic feature and the speaker latent space information (1440).

Abstract: A method performed by an electronic device is described. The method includes receiving first optical data and first depth data corresponding to a first frame. The method also includes registering the first depth data to a first canonical model. The method further includes fitting a three-dimensional (3D) morphable model to the first optical data. The method additionally includes registering the 3D morphable model to a second canonical model. The method also includes producing a 3D object reconstruction based on the registered first depth data and the registered 3D morphable model.

Abstract: A method performed by an electronic device is described. The method includes receiving first optical data and first depth data corresponding to a first frame. The method also includes registering the first depth data to a first canonical model. The method further includes fitting a three-dimensional (3D) morphable model to the first optical data. The method additionally includes registering the 3D morphable model to a second canonical model. The method also includes producing a 3D object reconstruction based on the registered first depth data and the registered 3D morphable model.