Abstract: Method for smart gas household inspection based on government supervision, IoT system, and medium are provided. The method includes obtaining gas usage data; determining a candidate inspection time period; determining an inspection parameter based on the candidate inspection time period and the inspection resource information; and generating an inspection command and sending the inspection command to a smart gas inspector object platform to enable the inspector to conduct home inspection. The system includes a smart gas user platform, a smart gas service platform, a smart gas management platform, a smart gas sensor network platform, a smart gas equipment object platform, a smart gas inspector object platform, a government gas supervision object platform, a government gas supervision sensor network platform, a government gas supervision management platform, a government gas supervision service platform, and a citizen user platform.

Abstract: Provided in the present application are a data processing method and apparatus based on data coding, and a device. The method comprises: performing N-channel error correction coding on data to be processed that is in information to be processed, so as to obtain N pieces of coded data to be processed; by using coded meta-channel data obtained by means of error correction coding, performing redundancy processing on the coded data to be processed, so as to obtain N pieces of response data; and then performing error correction decoding on the N pieces of response data, so as to obtain processing result information of the information to be processed.

Abstract: Disclosed herein is a 2K clearcoat coating composition including (A) from 10% to 70% by weight of a first resin having at least one primary hydroxyl group; (B) from 2% to 40% by weight of a second resin including a resin (B-1) having at least one primary hydroxyl group and/or a resin (B-2) having at least one secondary hydroxyl group; and (C) a crosslinker including at least one polyisocyanate and at least one amino resin, and the weight percentages of components (A) and (B) are based on the total weight of the coating composition and the ratio by weight between components (A) and (B) is in a range of from 6:1 to 1:2. Further disclosed herein is an article coated by the coating composition and the article may have metal substrates.

Abstract: The present disclosure provides a method for safety monitoring of durability of a gas pipeline corridor based on a monitoring Internet of Things system, comprising obtaining durability monitoring data and traffic vibration data of the pipeline corridor through a gas company sensor network platform, and obtaining road traffic data through a government safety monitoring management platform via a government safety monitoring sensor network platform; determining a traffic correlation based on at least one of the durability monitoring data, the traffic vibration data, or the road traffic data; determining a traffic-affected pipeline corridor based on at least one of the traffic vibration data or the traffic correlation, and reporting the traffic-affected pipeline corridor to a government safety monitoring service platform via the government safety monitoring sensor network platform and the government safety monitoring management platform, and determining whether to carry out traffic control via the government safe

Abstract: Disclosed are a display substrate and a display apparatus, wherein the display substrate may include a base substrate including a display region and a non-display region, and a drive circuit layer disposed on the base substrate, the drive circuit layer includes a pixel drive circuit located in the display region and a gate drive circuit located in the non-display region; a boundary of the display region includes an arc-shaped boundary, a non-display region located on an outside of the arc-shaped boundary is referred to as a rounded corner region, and the rounded corner region includes a plurality of first regions and at least one second region; the gate drive circuit is configured to provide a drive signal to the pixel drive circuit, and is partially located within a first region, and the second region is located between adjacent first regions.

Abstract: Methods, Internet of Things (IoT) systems, and storage mediums for smart gas emergency safety simulation based on government regulation are provided. The method may be implemented by the IoT system for smart gas emergency safety simulation based on government regulation.

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 structural encoding unit and an error correction decoding unit are divided. The structure encoding unit is divided into input branch processor and an input proxy processor; and the error correction decoding unit is divided into an output routing processor, an output proxy processor, an adjudication branch processor, an adjudication proxy processor and a voting processor. The input branch processor is used for duplicating and distributing messages, the arbitration branch processor is used for duplicating and distributing data, the voting processor is used for performing voting, and the output routing processor is used for selecting an output result from processing results of the output proxy processor according to a voting result of the voting processor.

Abstract: Provided are a data processing system and method based on dynamic redundancy heterogeneous encoding, and a device. The method comprises: respectively performing error correction encoding on information to be processed and a processing rule, so as to form encoded information to be processed and an encoded processing rule; processing, by using the encoded processing rule, the encoded information to be processed, so as to obtain response data; and then performing error correction decoding on N pieces of response data, so as to obtain processing result information of the information to be processed.

Abstract: The present invention discloses a highly integrated R-wave triggered tumor therapy apparatus, and relates to the technical field of medical devices for ablation of tumors. The apparatus includes: a human body R-wave detection module for detecting a human body R-wave signal; a signal generator for obtaining a narrow pulse signal with nanometer width according to the human body R-wave signal; a primary matching circuit; and a high-frequency transformer; where the primary matching circuit is used for matching the narrow pulse signal with nanometer width to an input side of the high-frequency transformer, so that the high-frequency transformer outputs a high-voltage signal needed for treatment of human bodies.

Abstract: The present application provides an instruction encoding-based data processing method and apparatus, and a device. N-path error correction encoding is performed on an instruction in information to be processed to obtain N encoded instructions, the encoded instructions and encoded meta channel programs obtained by the error correction encoding are used to perform redundant processing on data to be processed to obtain N pieces of response data, and then error correction decoding is performed on the N pieces of response data to obtain processing result information of the information to be processed. Because the N encoded instructions are heterogeneous and the encoded meta channel programs used in the N-path processing are heterogeneous, the randomness of the processing process can be improved, generalized disturbance in the data processing process can be corrected in combination with the error correction encoding and decoding methods, and thus the security of data processing is improved.

Abstract: The present disclosure provides a system and method for smart gas full-cycle supervision based on IOT, the method includes: obtaining gas production data; determining base supervision data based on the gas production data; obtaining residual computing resources at a preset frequency; in response to determining that a sum of the reference resource consumption and the residual computing resources satisfying a preset requirement, performing operations including: generating and sending a control instruction to a gas company management platform; evaluating an importance degree of each of the all batches of gas in the target gas based on the target data and the gas production data of the target gas; and adjusting a gas supply volume of the at least one of all batches of gas in the target gas based on the importance degree of the each of the all batches of gas in the target gas and the target data.

Abstract: An open-pit mine truck automatic dispatching system and method, which comprises a digital twin creation module and a driver terminal; the digital twin creation module creates the dispatcher digital twin, the dispatcher digital twin receives the production plan, and creates the loader digital twin, the unloading point digital twin, the truck digital twin and the transportation path digital twin according to the production plan. The driver terminal obtains the available information of loaders and trucks and sends the available information to the dispatcher digital twin; the dispatcher digital twin generates dispatching commands based on available information, schedules the loader digital twin and the truck digital twin based on the dispatching command, and updates the property information of the loader digital twin, the unloading point digital twin, the truck digital twin and the transportation path digital twin. The invention realizes the automatic dispatching of open-pit mine trucks.

Abstract: Described herein is a 2K clearcoat composition including, Component I including a). at least one resin having carboxylic acid groups with acid value of 50 to 400 mg KOH/g; b). at least one resin having hydroxyl functional groups with a hydroxyl value of 10 to 800 mg KOH/g; c). at least one catalyst; and d). at least one solvent, and Component II including e). at least one epoxy-functional alkoxysilane and/or its oligomer and/or its polymer; and f). at least one crosslinker reactive to hydroxyl groups. Also described herein are a substrate coated with the dried and cured 2K clearcoat composition and an automotive including the substrate.

Abstract: The disclosure provides a communication delay compensation method and a communication delay compensation system based on an autonomous robot, where the method includes the following steps: establishing a state equation based on a system model of an AUV positioning system; acquiring an included angle between a direction vector of AUV to an observation station and a velocity vector of AUV based on the system model; establishing an observation equation according to the state equation and the included angle; establishing an extended Kalman filter equation based on the system model, the included angle and the observation equation; and calculating a position information predicted value at the current time by using the extended Kalman filter equation to complete communication delay compensation.

Abstract: Systems, methods, and devices are provided for generating and using text-to-speech (TTS) data for improved speech recognition models. A main model is trained with keyword independent baseline training data. In some instances, acoustic and language model sub-components of the main model are modified with new TTS training data. In some instances, the new TTS training is obtained from a multi-speaker neural TTS system for a keyword that is underrepresented in the baseline training data. In some instances, the new TTS training data is used for pronunciation learning and normalization of keyword dependent confidence scores in keyword spotting (KWS) applications. In some instances, the new TTS training data is used for rapid speaker adaptation in speech recognition models.

Abstract: Methods and devices to monitor an analyte in body fluid are provided. Embodiments include continuous or discrete acquisition of analyte related data from a transcutaneously positioned in vivo analyte sensor automatically or upon request from a user. The in vivo analyte sensor is coupled to an electronics unit holding a memory with instruction to cause processing circuitry to initiate a predetermined time period that is longer than a predetermined life of the sensor, during the predetermined time period, convert signals from the sensor related to glucose to respective corresponding glucose levels, without relying on any post-manufacture independent analyte measurements from a reference device, and at the expiration of the predetermined time period, disable, deactivate, or cease use of one or more feature.

Abstract: Disclosed is a method for controlling data transmission for smart gas, comprising: obtaining gas data of a gas user, and storing the gas data into a storage unit; predicting a probability of full storage of the storage unit within a preset future time period based on a historical data increment of the storage unit; in response to the probability of full storage meeting a preset probability condition: obtaining the gas data of the gas user within the preset time period; determining the upload demand degree based on the gas data; and in response to the upload demand degree meeting a preset condition, transmitting the gas data within the preset time period to the smart gas management platform based on the smart gas object platform at a target upload time point of at least one smart gas meter of the gas user.

Abstract: Disclosed is a method for guaranteeing a smart gas demand based on a regulatory Internet of Things (IoT). The method is executed by a gas company management platform. The method includes: obtaining a plurality of grid regions by gridding a regulatory scope; predicting a gas demand degree of each of the plurality of grid regions in a future time period based on weather data, people flow data, historical gas data, and a gas consumption plan, and an authenticity degree of the gas consumption plan; determining a scheduling parameter based on the gas demand degree and schedulable resource data in the future time period; and generating a scheduling instruction based on the scheduling parameter, and sending the scheduling instruction to a terminal device corresponding to a schedulable resource device.

Abstract: The present disclosure provides methods and apparatus for optimizing a keyword spotting system. A set of utterance texts including a given keyword may be generated. A set of speech signals corresponding to the set of utterance texts may be synthesized. An acoustic model in the keyword spotting system may be optimized with at least a part of speech signals in the set of speech signals and utterance texts in the set of utterance texts corresponding to the at least a part of speech signals.