Abstract: This application is applicable to the field of machine learning technologies and provides a system and a method for target detection. The system includes: a controller and a coprocessor which is in communication connection with the controller. The controller is configured to perform at least some arithmetic operations of a target detection model based on a target image to be detected and/or data sent by the coprocessor. The coprocessor is configured to perform at least some arithmetic operations of the target detection model based on the target image to be detected and/or data sent by the controller. According to the system for target detection, the controller and the coprocessor are utilized to perform some of the arithmetic operations in the target detection model respectively to solve a problem of slow execution speed of target detection task in deployment of the target detection model.

Abstract: Provided are calibrating method and system of setting value of grid-related relay protection of new energy station, wherein generating module of calibrating template generates setting value calibrating template of target new energy station based on names of each of protective setting value items and units of each of protective setting value items of target new energy station; generating module of setting value table to be calibrated generates setting value table to be calibrated of target new energy station based on actual values of each of protective setting value items and setting value calibrating template; determining module of standard setting value table determines standard setting value table of target new energy station from protective setting value calibration database according to new energy station number of target new energy station; and calibrating module of protective setting value calibrates setting value table to be calibrated according to standard setting value table.

Abstract: This invention provides a system and method for detecting and acquiring one or more in-focus images of one or more barcodes within the field of view of an imaging device. A measurement process measures depth-of-field of barcode detection. A plurality of nominal coarse focus settings of a variable lens allow sampling, in steps, of a lens adjustment range corresponding to allowable distances between the one or more barcodes and the image sensor, so that a step size of the sampling is less than a fraction of the depth-of-field of barcode detection. An acquisition process acquires a nominal coarse focus image for each nominal coarse focus setting. A barcode detection process detects one or more barcode-like regions and respective likelihoods. A fine focus process fine-adjusts, for each high-likelihood barcode, the variable lens near a location of the barcode-like regions. The process acquires an image for decoding using the fine adjusted setting.

Abstract: A transfer structure includes a circuit board that includes a first metal layer, a second metal layer, and a dielectric layer. The dielectric layer is located between the first metal layer and the second metal layer. The first metal layer includes a radiation portion and a microstrip that is coupled to one end of the radiation portion. The second metal layer is grounded. The radiation portion is provided with an opening to enable the radiation portion to form at least two resonance frequencies such that the operating bandwidth of the transfer structure can be extended.

Abstract: An approach is provided for optimizing a feedback-type question answering process. A training set is constructed to detect missing information of a question. A natural language generation model is trained using the missing information. The natural language generation model is executed to generate a rhetorical question. A response to the rhetorical question is combined with the question to generate an input to a language processor. A new question is generated. The new question is applied to a document library. A final answer is generated.

Abstract: Embodiments relate to predicting height information for an object. First distance data is determined at a first time when an object is at a first position that is only partially within the field-of-view. Second distance data is determined at a second, later time when the object is at a second, different position that is only partially within the field-of-view. A distance measurement model that models a physical parameter of the object within the field-of-view is determined for the object based on the first and second distance data. Third distance data indicative of an estimated distance to the object prior to the object being entirely within the field-of-view of the distance sensing device is determined based on the first distance data, the second distance data, and the distance measurement model. Data indicative of a height of the object is determined based on the third distance data.

Abstract: A method, system, and computer program product for reconstructing training data and building a new incremental learning model with the reconstructed training data that can be further trained. The method may include receiving new data to be inputted into a previously trained machine learning model, where the previously trained machine learning model has inaccessible training data. The method may also include generating simulated training data using a reverse form of the previously trained machine learning model. The method may also include verifying the simulated training data. The method may also include creating a new machine learning model using the simulated training data, where the new machine learning model includes a same structure as the previously trained machine learning model. The method may also include inputting the new data into the new machine learning model, where the new machine learning model is further trained with the new data.

Abstract: A method and a device for a chip layout, computer equipment, and a medium. The method includes steps of: determining external interfaces and internal interfaces of a chip, where the internal interface is a port of a component of the chip; constructing, according to the external interfaces and the internal interfaces, an objective function, where the objective function is applied to describe a wiring length of the chip; determining a target value of the objective function through a preset genetic algorithm, where the target value is applied to determine a first layout diagram of the chip; determining, based on an operation temperature of an internal chip as the component of the chip, a second layout diagram of the chip; performing an image fusion on the first layout diagram and the second layout diagram to obtain a target layout diagram of the chip.

Abstract: This invention provides a system and method for detecting and acquiring one or more in-focus images of one or more barcodes within the field of view of an imaging device. A measurement process measures depth-of-field of barcode detection. A plurality of nominal coarse focus settings of a variable lens allow sampling, in steps, of a lens adjustment range corresponding to allowable distances between the one or more barcodes and the image sensor, so that a step size of the sampling is less than a fraction of the depth-of-field of barcode detection. An acquisition process acquires a nominal coarse focus image for each nominal coarse focus setting. A barcode detection process detects one or more barcode-like regions and respective likelihoods. A fine focus process fine-adjusts, for each high-likelihood barcode, the variable lens near a location of the barcode-like regions. The process acquires an image for decoding using the fine adjusted setting.

Abstract: A method and related system detail a split of an architecture of a monolithic application into an architecture of a micro service application. The method receives source code for the monolithic application, and maps the source code into a directed graph. The graph is split into subgraphs and optimized. The method further provides the detailing of the micro service application split, based on the subgraphs.

Abstract: Embodiments relate to predicting height information for an object. First distance data is determined at a first time when an object is at a first position that is only partially within the field-of-view. Second distance data is determined at a second, later time when the object is at a second, different position that is only partially within the field-of-view. A distance measurement model that models a physical parameter of the object within the field-of-view is determined for the object based on the first and second distance data. Third distance data indicative of an estimated distance to the object prior to the object being entirely within the field-of-view of the distance sensing device is determined based on the first distance data, the second distance data, and the distance measurement model. Data indicative of a height of the object is determined based on the third distance data.

Abstract: Provided is a method, computer program product, and system for fusing knowledge graphs to generate a larger knowledgebase for responding to cross document questions. A processor may extract contextual information from a plurality of documents. The processor may generate, based on the extracted contextual information, a knowledge graph for each document of the plurality of documents. The processor may analyze each knowledge graph to determine if one or more entities of each knowledge graph are linked. The processor may fuse, in response to an entity in a first knowledge graph being linked to an entity in a second knowledge graph, the first knowledge graph with the second knowledge graph to create a fused knowledge graph.

Abstract: The present disclosure describes systems and methods for assigning nodes in a circuit design to layers. The method includes identifying a plurality of structures in a circuit design. Each of the plurality of structures includes four nodes of the circuit design and each of the four nodes are connected to every other node in the respective structure. The method also includes removing, from the plurality of structures, an even number of pairs of connected nodes of the circuit design to form a reduced node structure and assigning circuit layers for the nodes in the reduced node structure. The method further includes assigning, by a processing device, circuit layers for the pairs of connected nodes removed from the plurality of structures based on the assigned circuit layers for the nodes in the reduced node structure.

Abstract: Embodiments of the present invention provide an approach for compressing data, and more particularly, to large-scale text data encoding and compression using absolute overfitting on pre-trained language models. Large-scale data is parsed into sentences. A unique token is generated for each sentence to form a token list. A generative (or compression) model is trained from the tokens in the token list to produce the corresponding sentence of each token through absolute overfitting of a pre-trained language model. The compressed text data is stored as the token list and generative model, resulting in a storage space savings.

Abstract: A method and related system detail a split of an architecture of a monolithic application into an architecture of a micro service application. The method receives source code for the monolithic application, and maps the source code into a directed graph. The graph is split into subgraphs and optimized. The method further provides the detailing of the micro service application split, based on the subgraphs.

Abstract: Techniques are provided for mapping natural language to code segments. In one embodiment, the techniques involve receiving a document and software code, wherein the document comprises a natural language description of a use of the code, generating, via a vectorization process performed on the document, at least one vector or word embedding, generating, via a natural language processing technique performed on the at least one vector or word embedding, a first label set, generating, via a machine learning analysis of the software code, a second label set, determining, based on a comparison of the first label set and the second label set, a match confidence between the document and the software code, wherein the match confidence indicates a measure of similarity between the first label set and the second label set, and upon determining that the match confidence exceeds a predefined threshold, mapping the document to the software code.

Abstract: Example methods and apparatus for recognizing a vehicle lane change trend are described. One example method includes obtaining laser point cloud data of a detected target vehicle. A first distance relationship value between a center line of a lane in which the current vehicle is located and the target vehicle is obtained based on the laser point cloud data. A second distance relationship value between the center line of the lane and the target vehicle is obtained. First confidence of the first distance relationship values and second confidence of the second distance relationship values are calculated, and fusion distance relationship values are then calculated based on the first confidence and the second confidence. It is determined whether the target vehicle has a lane change trend based on the fusion distance relationship values.

Abstract: Embodiments relate to predicting height information for an object. First distance data is determined at a first time when an object is at a first position that is only partially within the field-of-view. Second distance data is determined at a second, later time when the object is at a second, different position that is only partially within the field-of-view. A distance measurement model that models a physical parameter of the object within the field-of-view is determined for the object based on the first and second distance data. Third distance data indicative of an estimated distance to the object prior to the object being entirely within the field-of-view of the distance sensing device is determined based on the first distance data, the second distance data, and the distance measurement model. Data indicative of a height of the object is determined based on the third distance data.

Abstract: An approach is provided for optimizing a feedback-type question answering process. A training set is constructed to detect missing information of a question. A natural language generation model is trained using the missing information. The natural language generation model is executed to generate a rhetorical question. A response to the rhetorical question is combined with the question to generate an input to a language processor. A new question is generated. The new question is applied to a document library. A final answer is generated.

Abstract: This invention discloses method for feeding Hermetia illucens and used as for preparing composite material of puparium, which comprises the following steps: S1, dry Hermetia illucens pupariums and grind them into powdery, S2, adding powdery of Hermetia illucens pupariums into sodium hydroxide aqueous solution, stirring, separating and filtering, S3, adding the pupariums into hydrochloric acid solution, stirring, separating and filtering; S4, placing the pupariums into sodium hydroxide aqueous solution, stirring, separating and filtering; S5, drying the pupariums, and screening out the granular pretreated powder of the Hermetia illucens pupariums. The invention also disclose preparation method of composite material and thin film of Hermetia illucens pupariums and antibacterial and antimildew additive.