Abstract: This application relates to a tab flattening device. The tab flattening device includes: a roller configured to convey an electrode plate, a cover, and a flattening portion. The surface of the roller is in contact with the electrode plate in a contact region. The cover surrounds the contact region peripherally and includes a feed-in guide surface oriented toward the contact region. The flattening portion is disposed protrusively on the feed-in guide surface, and located opposite to a tab of the electrode plate. A tab guide surface is formed on the flattening portion. Along a feed-in direction of the electrode plate, the flattening portion is at least partially located upstream of the contact region.

Abstract: Disclosed is a massive data-driven method for automatically locating a mine microseismic source, including: constructing a microseismic wave calibration data set by using a large-scale seismic data set containing seismic signals and non-seismic signals; constructing a pre-training calibration model based on a full convolution neural network through deep learning of a seismic wave calibration data set; using microseismic data of mine sites for transfer learning of an initial arrival time calibration model to construct an arrival time automatic calibration model suitable for mine microseismic signals; and automatically as well as accurately locating mine microseismic events based on an isokinetic homogeneous isotropic velocity model by using an optimization algorithm to deduce arrival time errors and through repeated iteration and fine-tuning.

Abstract: A system, method, and computer-program product includes constructing a transcript correction training data corpus that includes a plurality of labeled audio transcription training data samples, wherein each of the plurality of labeled audio transcription training data samples includes: an incorrect audio transcription of a target piece of audio data; a correct audio transcription of the target piece of audio data; and a transcript correction identifier that, when applied to a model input that includes a likely incorrect audio transcript, defines a text-to-text transformation objective causing an audio transcript correction machine learning model to predict a corrected audio transcript based on the likely incorrect audio transcript; configuring the audio transcript correction machine learning model based on a training of a machine learning text-to-text transformer model using the transcript correction training data corpus; and executing the audio transcript correction machine learning model within a speech-to-

Abstract: A device for simulating carbon dioxide storage in a deep saline aquifer, including a CO2 gas source, first and second valves, first and second pressure pumps, first, second and third pressure gauges, a water storage tank, a simulation box, a first flow meter, a gas-liquid separator, a recycling tank, a microcomputer-display assembly, a structure plate, core holders, an injection pipeline, a connection pipeline, a baffle, a piezometer, a second flow meter, a heater, a lifter and an acoustic logging tool. The CO2 gas source, the first valve, the first pressure pump and the first pressure gauge for gas injection. The water storage tank, a second pressure pump and a second pressure gauge for water injection. The second valve, the third pressure gauge, the first flow meter, the gas-liquid separator and the recycling tank form an output pipeline.

Abstract: There provides an auxiliary structure for floating and sinking the whole offshore wind turbine with suction bucket foundation(s), which includes an upper bracket floated on water and a lower bracket sunk synchronously with a support structure. The upper bracket includes upper floating boxes; upper cross-connectors each of which is fixedly connected to the upper hoop and a corresponding upper floating box; and an upper hoop configured to sleeve on an outer side of the support structure. The upper bracket and the support structure are relatively moved in an up and down direction, and are connected in a manner of limiting position. The lower bracket includes lower floating boxes, a bottom of each of which is adjustable in height; lower cross-connectors each of which is fixedly connected to the lower hoop and a corresponding lower floating box; and a lower hoop that holds the support structure tightly.

Abstract: A method of installing a hybrid foundation for an offshore wind turbine, the method includes providing a monopile, friction wheel, and suction bucket; installing the friction wheel and suction bucket in the sea floor; and inserting the monopile through the opening into the sea floor.

Abstract: There provides an auxiliary structure for floating and sinking the whole offshore wind turbine with suction bucket foundation(s), which includes an upper bracket floated on water and a lower bracket sunk synchronously with a support structure. The upper bracket includes upper floating boxes; upper cross-connectors each of which is fixedly connected to the upper hoop and a corresponding upper floating box: and an upper hoop configured to sleeve on an outer side of the support structure. The upper bracket and the support structure are relatively moved in an up and down direction, and are connected in a manner of limiting position, to enable the upper bracket to right the support structure when being sunk.

Abstract: An apparatus includes a processor to: receive, from a requesting device, a request to perform speech-to-text conversion of a speech data set; within a first thread of a thread pool, perform a first pause detection technique to identify a first set of likely sentence pauses; within a second thread of the thread pool, perform a second pause detection technique to identify a second set of likely sentence pauses; perform a speaker diarization technique to identify a set of likely speaker changes; divide the speech data set into data segments representing speech segments based on a combination of at least the first set of likely sentence pauses, the second set of likely sentence pauses, and the set of likely speaker changes; use at least an acoustic model with each data segment to identify likely speech sounds; and generate a transcript based, at least in part, on the identified likely speech sounds.

Abstract: The present disclosure discloses a method for optimizing equipment capacity and equipment power of an energy hub system. The method includes establishing an energy hub model containing natural gas boilers, electric boilers, coolers and heat pumps, establishing a bilevel optimized upper model to solve the optimal heat pump capacity, and establishing a bilevel optimized lower model to solve the optimal power utilization of each energy device based on the binary search algorithm of the quadratic function solves the upper model by using the multi-objective evolutionary algorithm NSGA-II to solve the lower model. The optimization method of the present invention can solve the multi-objective bilevel model problem without the help of commercial optimization software. Obtaining a reasonable, efficient and green planning scheme makes the total operating cost and total exhaust gas emissions of the energy hub relatively optimal.

Abstract: The invention provides an offline handwriting individual recognition system and method based on two-dimensional dynamic features.

Abstract: A medical image processing apparatus according to an embodiment includes processing circuitry. The processing circuitry is configured to obtain a medical image subject to a labeling process. The processing circuitry is configured to receive a labeling step in a labeling task performed on the medical image. The processing circuitry is configured, while the labeling step in the labeling task is received, to analyze a local characteristic of a target structure serving as a labeling target in the medical image. The processing circuitry is configured to generate a usable tool set corresponding to the labeling task performed on the medical image, on the basis of the local characteristic.

Abstract: The present application discloses a coding pattern, coding and reading methods for the same, a calibration board, and a calibration method. In the present application, the coding pattern comprises four positioning blocks, wherein three of the positioning blocks are located at three corner portions of the coding pattern, and the remaining positioning block only contacts one edge of the coding pattern, thereby forming an asymmetrical distribution configuration of the four positioning blocks. The invention can replace a two-dimensional code standard in the related art, saving the licensing and manufacturing costs of using two-dimensional code generation software in the related art, and is not subject to usage restrictions of the two-dimensional code generation software in the related art.

Abstract: A controllable downhole drilling and completion tool separating device and their method of use are provided. The device includes an upper mandrel connector, an outer sleeve, a claw clamp sleeve, a claw clamp locking ring, a mandrel sleeve, a lower connector, a piston ring and a pressure bearing ball. The upper end of the lower connector is on the outer side of the upper connector in a sleeving mode. A first annular cavity is between the lower connector and the upper connector. The piston ring is on the outer side of the upper connector in a sleeving mode and located in the first annular cavity. The claw clamp sleeve and the outer sleeve are sequentially arranged on the outer side of the upper connector in a sleeving mode. A second annular cavity is communicated with the first annular cavity and formed between the claw clamp sleeve and the upper connector.

Abstract: A system, method, and computer-program product includes constructing a transcript adaptation training data corpus that includes a plurality of transcript normalization training data samples, wherein each of the plurality of transcript normalization training data samples includes: a predicted audio transcript that includes at least one numerical expression, an adapted audio transcript that includes an alphabetic representation of the at least one numerical expression, and a transcript normalization identifier that, when applied to a model input comprising a target audio transcript, defines a text-to-text transformation objective causing a numeric-to-alphabetic expression machine learning model to predict an alphabetic-equivalent audio transcript that represents each numerical expression included in the target audio transcript in one or more alphabetic tokens; configuring the numeric-to-alphabetic expression machine learning model based on a training of a machine learning text-to-text transformer model using th

Abstract: The present invention provides a factory power management and control method based on edge-cloud coordination, including: 1) forming an industrial field network by a field node, a routing node and a device executing production tasks; 2) parsing production task information data and sending; 3) issuing an STN model in production field to an edge node; 4) sending to the edge node; 5) computing, required to complete the production tasks; 6) computing values of comprehensive ranks; 7) executing, by the edge node, the higher rank, and executing, by the cloud power management center, the lower rank; 8) executing, by the edge node, a demand response algorithm; 9) executing, by the production device, the production tasks based on computing results; and executing, by a power generation station in factory, a power storage station in factory and a power supply station outside factory, corresponding schemes based on the results.

Abstract: A method, a system and a device for difference automatic calibration in cross modal target detection are provided. The method includes: obtaining a plurality of modals of color-thermal images to be detected, and constructing an input image set; acquiring a feature map of each modal image in the input image set, and extracting a shared candidate region; aligning the shared candidate region, and obtaining a feature representation of the each shared candidate region through pooling; obtaining a category of the feature representation of the shared candidate region based on a preset classifier, and obtaining a position of the shared candidate region through deviation regression; adopting non-maximum value suppression to obtain a shared candidate region with the highest probability according to the category of the feature representation of the shared candidate region, and returning to the image to be detected for marking according to the position of the shared candidate region.

Abstract: A system, method, and computer-program product includes constructing a transcript correction training data corpus that includes a plurality of labeled audio transcription training data samples, wherein each of the plurality of labeled audio transcription training data samples includes: an incorrect audio transcription of a target piece of audio data; a correct audio transcription of the target piece of audio data; and a transcript correction identifier that, when applied to a model input that includes a likely incorrect audio transcript, defines a text-to-text transformation objective causing an audio transcript correction machine learning model to predict a corrected audio transcript based on the likely incorrect audio transcript; configuring the audio transcript correction machine learning model based on a training of a machine learning text-to-text transformer model using the transcript correction training data corpus; and executing the audio transcript correction machine learning model within a speech-to-

Abstract: A system, method, and computer-program product includes distributing a plurality of audio data files of a speech data corpus to a plurality of computing nodes that each implement a plurality of audio processing threads, executing the plurality of audio processing threads associated with each of the plurality of computing nodes to detect a plurality of tentative speakers participating in each of the plurality of audio data files, generating, via a clustering algorithm, a plurality of clusters of embedding signatures based on a plurality of embedding signatures associated with the plurality of tentative speakers in each of the plurality of audio data files, and detecting a plurality of global speakers associated with the speech data corpus based on the plurality of clusters of embedding signatures.

Abstract: Disclosed is a method for analyzing and predicting a main fracture orientation of a mining face based on microseismic monitoring, including: collecting microseismic data generated by a coal rock burst; carrying out a hierarchical clustering on the microseismic data to obtain target hypocenter groups, of which the target hypocenter groups comprise several types of hypocenters; acquiring focal mechanism solutions of all the target hypocenter groups in the target hypocenter group, and acquiring a hypocenter azimuth and a hypocenter dip based on the focal mechanism solutions; and carrying out the hierarchical clustering on a hypocenter location, the hypocenter azimuth and the hypocenter dip, and predicting the main fracture orientation of the mining face.