Abstract: This device for generating learning data is provided with a measuring device, such as a visual sensor, that measures an arrangement region of a plurality of workpieces and acquires an image. The device for generating learning data is provided with a learning data generation unit that generates learning data including an image acquired by the visual sensor and a workpiece removal position. The device for generating learning data generates a plurality of sets of learning data by repeating: control of the movement of the workpieces using a movement device so as to change the arrangement pattern of the workpieces; measurement of the arrangement region of the plurality of workpieces by the visual sensor; and generation of learning data by the learning data generation unit.

Abstract: Disclosed are a soft candy without a fishy taste or odor and a preparation method thereof. The preparation method includes: (1) mixing and stirring a DHA-containing raw oil, a fragrance, and an antioxidant, and allowing a resulting mixture to stand to obtain a DHA-containing mixture; (2) mixing and dispersing a polymeric sugar, an emulsifying agent, and water to obtain an oxygen-isolation preprepared solution; (3) dispersing the oxygen-isolation preprepared solution and the DHA-containing mixture, and allowing a resulting system to undergo equilibrium and stabilization to obtain an oxygen-isolated DHA-containing solution; (4) preparation of a pigment solution and an acid solution; (5) preparation of a sticky syrup; (6) mixing the sticky syrup, the oxygen-isolated DHA-containing solution, the acid solution, and the pigment solution to obtain a sugar-containing slurry; and (7) pouring the sugar-containing slurry into a soft candy mold to obtain the soft candy without a fishy taste or odor.

Abstract: The present disclosure describes techniques of presenting audio/video (AV) files. The disclosed techniques include displaying a first interface, wherein the first interface comprises a list of a plurality of AV files and an editing area; generating a plot graph based at least in part on an input by a first user via the first interface, wherein the plot graph has a directed structure, and the at least one first type of AV file and the at least one second type of AV file are associated with different nodes of the plot graph; playing a first type of AV file; detecting that a preset instruction is received in response to determining that a playing progress of the first type of AV file reaches a first predetermined position; and playing another first type of AV file or a second type of AV file based on the preset instruction.

Abstract: The disclosure relates to the technical field of food and medical chemical production, and provides a method of preparing an extract of chayote. The method includes: step 1, adding water and a pretreatment agent of ethoxylated p-tert-octylphenol to a chayote powder to obtain a pretreatment mixture; step 2, adding a stabilizer and a cellulase to the pretreatment mixture to perform an enzymolysis treatment to obtain an enzymatic hydrolysate, and centrifuging the enzymatic hydrolysate to obtain a crude extraction liquid; step 3, concentrating the crude extraction liquid to obtain a concentrate, purifying and drying the concentrate to obtain the extract of chayote.

Abstract: A method of extracting myricetin from Xanthoceras sorbifolia Bunge is provided. The method includes: step 1, baking obtaining Xanthoceras sorbifolia Bunge crude powder; step 2, mixing the crude powder with a counter-current extraction solution to perform a counter-current extraction to obtain a filtrate and a filter residue; step 3, mixing the filter residue with a solvent to obtain a first mixture, and heating the first mixture to reflux for extraction to obtain an extraction liquid; step 4, mixing the extraction liquid and the filtrate, and concentrating under reduced pressure to obtain a concentrated solution; and step 5, separating and eluting the concentrated solution to obtain an eluent, then drying the eluent to obtain the myricetin.

Abstract: The disclosure relates to the technical field of extraction of an active ingredient from traditional Chinese medicine, and provides a method of extracting myricetin from Xanthoceras sorbifolia Bunge.

Abstract: Resource allocation includes generating a resource allocation identifier corresponding to a resource allocation request. The resource allocation request pertains to allocation of a resource associated with streaming of an audiovisual content item. The resource allocation identifier comprises a first portion and a second portion, the first portion comprising a key, and the second portion comprising information associated with contextual metadata pertaining to the corresponding resource allocation request. It further includes performing a first transmission of a first message including the resource allocation identifier. The first message including the resource allocation identifier is directed to a first address associated with a first entity. It further includes performing a second transmission of a second message. Transmission of the second message causes transmission of the resource allocation request. The second message is directed to a second address associated with a second entity.

Abstract: Good performance is obtained even with a small amount of training data, by reducing time and labor required for collecting training data for use in training. This machine learning device has an acquisition unit that acquires inference data and training data for use in machine learning, a training unit that performs machine learning based on the training data and sets of training parameters and generates trained models, a model assessment unit assesses whether or not the trained results by the trained models are good and displays the assessment results, a model selection unit that can receive a selected trained model, an inference calculation unit that performs inference calculation processing based on at least a part of the trained models and the inference data and generates inference result candidates, and an inference determination unit that outputs at least part of the inference result candidates or the combinations thereof.

Abstract: The present invention executes an inference calculation process in a short time without a robot having to wait for prolonged periods of time. This inference calculation processing device inputs inferencing data into a trained model and executes a process of inference calculation on the inferencing data, wherein the inference calculation processing device comprises: an acquisition unit for acquiring the inferencing data and the trained model; a preprocessing unit for batching the acquired inferencing data and dividing the batches into a plurality of inferencing sub-data; and an execution unit for optimizing the order of the process of inference-calculating the plurality of inferencing sub-data and executing the process of inference-calculating the inferencing data in the optimized order of the inference calculation process on the basis of each of at least some of the plurality of inferencing sub-data and the trained model.

Abstract: Per-viewer engagement-based video optimization is disclosed. A request for content associated with a first client is received. A model associated with the first client is obtained. The obtained model comprises at least one of behavior and playback preferences of a viewer associated with the first client. The obtained model is used to determine, for the first client, an optimal set of instructions usable to obtain content. A different set of instructions is determined to be optimal for a second client. The optimal set of instructions determined for the client is provided as output. The first client is configured to obtain content according to the optimal set of instructions determined for the first client.

Abstract: This disclosure provides techniques of extracting movements from a dance video. The techniques comprise receiving a dance video that includes one or more dancers and that is uploaded by a user, and obtaining a video frame in the dance video; recognizing, based on a skeleton node recognition algorithm, skeleton node images from the video frames corresponding to a target dancer, where the target dancer is selected from the one or more dancers; performing cluster analysis on the skeleton node images recognized from the dance video and corresponding to each target dancer to obtain a plurality of cluster sets; determining a cluster center in each of the plurality of cluster sets as a key skeleton node image; and sequentially outputting the key skeleton node images to obtain a standard movement sequence corresponding to each target dancer in the dance video.

Abstract: This disclosure provides techniques of implementing online somatosensory dance competitions. The techniques comprise assigning a room to one or more players in response to receiving one or more requests of starting a game sent by the one or more players, wherein all players in a same room share a same dance video; outputting a plurality of standard movement images corresponding to the same dance video in a chronological order, wherein the plurality of standard movement images each indicate position coordinates of different skeleton nodes at a corresponding moment; receiving dance movement signals associated with each of the one or more players, and determining scores for each player based on a similarity between the dance movement signals and standard movement parameters, wherein the standard movement parameters correspond to the standard movement images; and collecting and outputting statistics on an overall score and ranking of each of the one or more players.

Abstract: The present invention easily generates training data needed for generating a training model for identifying a position for retrieving a bulk-loaded work piece. An information processing device, according to the present invention, for processing information for retrieving a work piece using a hand, said device comprising: a reception unit that receives retrieval conditions including information about the hand or the work piece; a pre-processing unit that at least derives the position of the center of gravity of the work piece on the basis of a 3D CAD model of the work piece; and a first processing unit that, on the basis of the derived position of the center of gravity of the work piece, derives sectional features of the 3D CAD model of the work piece according to the retrieval conditions.

Abstract: Provided is an picking system which can suitably extract a workpiece by machine learning. The picking system is provided with: a robot which has a hand; an acquisition unit which acquires a two-dimensional camera image of an area where a plurality of workpieces are present; a teaching unit which can display the two-dimensional camera image and teach an picking position of a target workpiece to be extracted by the hand from among the plurality of workpieces; a training unit which generates a trained model on the basis of the two-dimensional camera image and the taught picking position; an inference unit which infers the picking position of the target work on the basis of the trained model and the two-dimensional camera image; and a control unit which controls the robot to extract the target workpiece by means of the hand on the basis of the inferred picking position.

Abstract: Resource allocation includes generating a resource allocation identifier corresponding to a resource allocation request. The resource allocation request pertains to allocation of a resource associated with streaming of an audiovisual content item. The resource allocation identifier comprises a first portion and a second portion, the first portion comprising a key, and the second portion comprising information associated with contextual metadata pertaining to the corresponding resource allocation request. It further includes performing a first transmission of a first message including the resource allocation identifier. The first message including the resource allocation identifier is directed to a first address associated with a first entity. It further includes performing a second transmission of a second message. Transmission of the second message causes transmission of the resource allocation request. The second message is directed to a second address associated with a second entity.

Abstract: A method for labeling an image, an electronic device, and a storage medium are provided. The method includes the following operations. A remote sensing image is acquired. A local binary image respectively corresponding to at least one building in the remote sensing image and direction angle information of a contour pixel located on a building contour in the local binary image are determined based on the remote sensing image. The direction angle information includes information of an angle between a contour edge where the contour pixel is located and a preset reference direction. A labeled image labeled with a polygonal contour of the at least one building in the remote sensing image is generated based on the local binary image respectively corresponding to the at least one building and the direction angle information.

Abstract: Resource allocation includes generating a resource allocation identifier corresponding to a resource allocation request. The resource allocation request pertains to allocation of a resource associated with streaming of an audiovisual content item. The resource allocation identifier comprises a first portion and a second portion, the first portion comprising a key, and the second portion comprising information associated with contextual metadata pertaining to the corresponding resource allocation request. It further includes performing a first transmission of a first message including the resource allocation identifier. The first message including the resource allocation identifier is directed to a first address associated with a first entity. It further includes performing a second transmission of a second message. Transmission of the second message causes transmission of the resource allocation request. The second message is directed to a second address associated with a second entity.

Abstract: Remote multi-target client monitoring for streaming content is disclosed. Raw data generated within a remote client device is received from the client device. The raw data is associated with content playback. An adaptor is used to translate the raw data into a unified data model. The translating comprises determining, from the raw data, a designation of at least one of a start and an end of a monitoring session.

Abstract: Remote multi-target client monitoring for streaming content is disclosed. Raw data generated within a remote client device is received from the client device. The raw data is associated with content playback. An adaptor is used to translate the raw data into a unified data model. The translating comprises determining, from the raw data, a designation of at least one of a start and an end of a monitoring session.

Abstract: The present disclosure describes techniques of presenting audio/video (AV) files. The disclosed techniques include displaying a first interface, wherein the first interface comprises a list of a plurality of AV files and an editing area; generating a plot graph based at least in part on an input by a first user via the first interface, wherein the plot graph has a directed structure, and the at least one first type of AV file and the at least one second type of AV file are associated with different nodes of the plot graph; playing a first type of AV file; detecting that a preset instruction is received in response to determining that a playing progress of the first type of AV file reaches a first predetermined position; and playing another first type of AV file or a second type of AV file based on the preset instruction.