Abstract: Disclosed is a preparation method of a foamed aluminum special-shaped part. The preparation method comprises the following steps: S1, pressing wax molds; S2, making a shell; S3, carrying out smelting; S4, carrying out casting; and S5, vibrating the shell. Finally, the foamed aluminum special-shaped part is obtained for a preparation process of a foamed aluminum compound casting.

Abstract: Methods and systems for imaging and analysis are described. Accurate pressure ulcer measurement is critical in assessing the effectiveness of treatment. However, the traditional measuring process is subjective. Each health care provider may measure the same wound differently, especially related to the depth of the wound. Even the same health care provider may obtain inconsistent measurements when measuring the same wound at different times. Also, the measuring process requires frequent contact with the wound, which increases risk of contamination or infection and can be uncomfortable for the patient. The present application describes a new automatic pressure ulcer monitoring system (PrUMS), which uses a tablet connected to a 3D scanner, to provide an objective, consistent, non-contact measurement method. The present disclosure combines color segmentation on 2D images and 3D surface gradients to automatically segment the wound region for advanced wound measurements.

Abstract: The present disclosure proposes a language generation method and apparatus. The method includes: performing encoding processing on an input sequence by using a preset encoder to generate a hidden state vector corresponding to the input sequence; in response to a granularity category of a second target segment being a phrase, decoding a first target segment vector, the hidden state vector, and a position vector corresponding to the second target segment by using N decoders to generate N second target segments; determining a loss value based on differences between respective N second target segments and a second target annotated segment; and performing parameter updating on the preset encoder, a preset classifier, and the N decoders based on the loss value to generate an updated language generation model for performing language generation.

Abstract: A method for training a language model based on various word vectors, a device and a medium, which relate to the field of natural language processing technologies in artificial intelligence, are disclosed. An implementation includes inputting a first sample text language material including a first word mask into the language model, and outputting a context vector of the first word mask via the language model; acquiring a first probability distribution matrix of the first word mask based on the context vector of the first word mask and a first word vector parameter matrix, and a second probability distribution matrix of the first word mask based on the context vector of the first word mask and a second word vector parameter matrix; and training the language model based on a word vector corresponding to the first word mask.

Abstract: The present disclosure provides a method, apparatus, electronic device and storage medium for training a semantic similarity model, which relates to the field of artificial intelligence. A specific implementation solution is as follows: obtaining a target field to be used by a semantic similarity model to be trained; calculating respective correlations between the target field and application fields corresponding to each of training datasets in known multiple training datasets; training the semantic similarity model with the training datasets in turn, according to the respective correlations between the target field and the application fields corresponding to each of the training datasets.

Abstract: A method for displaying a video poster based on artificial intelligence is provided. The method includes obtaining a target video and at least one poster according to a user input, calculating a matching degree of an image description text of the at least one poster and a description text keyword of the target video, and sorting the at least one poster according to the matching degree in an order from high to low, to obtain a sorted poster sequence; performing element separation on one of the at least one poster with a highest matching degree in the poster sequence to obtain a main body element and a background element; and processing the main body element, the background element and title information of the target video according to requirements of a target scene to synthesize a new poster.

Abstract: A search method based on a neural network model is provided. The neural network model includes a semantic representation model, a recall model, and a ranking model. The present disclosure relates to the field of artificial intelligence, and in particular to the technical field of search. An implementation of the method comprises: inputting a target search and a plurality of objects to be matched to the semantic representation model to obtain a first output of the semantic representation model; inputting the first output of the semantic representation model to the recall model, and obtaining at least one recall object matching the target search from the plurality of objects to be matched by using the recall model; and inputting a second output of the semantic representation model to the ranking model, and obtaining a matching value of each of the at least one recall object by using the ranking model.

Abstract: This application provides a method and apparatus for obtaining location information of a controller. The method includes: obtaining, by an inverter, signal feature information of each photovoltaic unit in a high-voltage direct current string, where the signal feature information of a photovoltaic unit includes a communication identifier of the photovoltaic unit and a signal feature of another photovoltaic unit, and the photovoltaic unit includes one controller and at least one photovoltaic module; determining an installation sequence of the photovoltaic units based on signal feature information of the photovoltaic units; and determining relative installation location information of each photovoltaic unit based on relative installation location information of a target photovoltaic unit in the high-voltage direct current string and the installation sequence of the photovoltaic units, where the target photovoltaic unit is at least one photovoltaic unit in the high-voltage direct current string.

Abstract: A method of automated measurement of motility and morphology parameters of the same single motile sperm. Automated motility and morphology measurements of the same single sperm are performed under different microscope magnifications. The same single motile sperm is automatically positioned and kept inside microscope field of view and in focus after magnification switch. A method of automated non-invasive measurement of sperm morphology parameters under high magnification of imaging. Sperm morphology parameters including subcellular structures are automatically measured without invasive sample staining. A method of automatically selecting sperms with normal motility and morphology and DNA integrity for infertility treatment.

Abstract: The application discloses a preparation method for an aluminum alloy cavity casting filled with special-shaped foamed aluminum. The preparation method includes: preparing special-shaped foamed aluminum in a first mold by adopting a powder metallurgy foaming method; fixing the special-shaped foamed aluminum coated with the soldering flux in a second mold after the special-shaped foamed aluminum is coated with soldering flux; and casting by using molten aluminum alloy. According to the preparation method for the aluminum alloy cavity casting filled with the special-shaped foamed aluminum, the overall strength of the casting can be improved while the wall thickness of the casting is reduced to meet the requirement that the overall quality of the casting is not increased.

Abstract: A method and apparatus for obtaining word vectors based on a language model, a device and a storage medium are disclosed, which relates to the field of natural language processing technologies in artificial intelligence. An implementation includes inputting each of at least two first sample text language materials into the language model, and outputting a context vector of a first word mask in each first sample text language material via the language model; determining the word vector corresponding to each first word mask based on a first word vector parameter matrix, a second word vector parameter matrix and a fully connected matrix respectively; and training the language model and the fully connected matrix based on the word vectors corresponding to the first word masks in the at least two first sample text language materials, so as to obtain the word vectors.

Abstract: The present disclosure provides a micro-channel heat exchanger including two collecting pipes, and a plurality of flat pipes and two side plates that are arranged between the two collecting pipes, wherein the two side plates are located on two outer sides of the flat pipes and are defined as a first side plate and a second side plate respectively; fins are respectively arranged between the first side plate and the adjacent flat pipe and between the second side plate and the adjacent flat pipe; and the outer side of the first side plate and/or the second side plate is provided with a blocking part at a position close to the collecting pipe, and the blocking part can prevent composite material on the collecting pipe from flowing to a middle part of the first side plate and/or the second side plate.

Abstract: The present disclosure provides a multi-system-based intelligent question answering method and apparatus, and a device, relating to the field of artificial intelligence, in particular to the field of knowledge graph. The specific implementation solution is: determining a question category of question information in response to a question answering instruction of a user, wherein the question answering instruction is used to indicate the question information; determining a query engine corresponding to the question category, and invoking multiple question analysis systems corresponding to the query engine according to the query engine; and feeding back answer information to the user when the answer information corresponding to the question information is determined according to a current question analysis system in a process of processing the question information by sequentially using the multiple question analysis systems according to system priorities of the question analysis systems.

Abstract: A photovoltaic system includes an inverter and a plurality of photovoltaic units connected to the inverter. Each photovoltaic unit includes a controller and one or more photovoltaic modules connected to the controller. The controller in each photovoltaic unit is further configured to obtain a power carrier signal sent by a controller in another photovoltaic unit of the plurality of photovoltaic units, determine an attenuation reference factor of the power carrier signal based on the obtained power carrier signal, and send the attenuation reference factor to the inverter. The inverter is further configured to group the plurality of photovoltaic units based on the attenuation degree of the power carrier signal obtained by each photovoltaic unit. This application can implement automatic grouping of photovoltaic units.

Abstract: The present disclosure provides a method, apparatus, electronic device and storage medium for processing a semantic representation model, and relates to the field of artificial intelligence technologies. A specific implementation solution is: collecting a training corpus set including a plurality of training corpuses; training the semantic representation model using the training corpus set based on at least one of lexicon, grammar and semantics. In the present disclosure, by building the unsupervised or weakly-supervised training task at three different levels, namely, lexicon, grammar and semantics, the semantic representation model is enabled to learn knowledge at levels of lexicon, grammar and semantics from massive data, enhance the capability of universal semantic representation and improve the processing effect of the NLP task.

Abstract: A horse-riding machine with rowing function includes a driven assembly hinged with a base assembly, one end of a moment arm is hinged with the driven assembly; an armrest of the driving assembly is provided at top of the main body rod, and the footrests are provided at a bottom of the main body rod. The bottom of the paddle rod is connected with the bottom of the main body rod, and the middle of the main body rod is hinged with the other end of the moment arm; when the driving assembly swings, the driven assembly is driven by the driving arm to swing back and forth through the moment arm; one end of the elastic rope is connected to the driven assembly, and the other end of the elastic rope is detachably fixed on the base assembly. When the driven assembly swings, the elastic rope is elastically stretched.

Abstract: The present invention provides a kind of an integrated sewage treatment equipment for paper mill, which belongs to the technical field of sewage treatment, includes a box body, and the box body is arranged a water injection gap on the upper part at one side, the bottom of the box body is connected with a drainage pipe, and a filter assembly is arranged inside the box body movably, and the inner wall of the box body is equipped with a limit component which provides guidance for the movement of the filter assembly; the filter assembly includes several concentrically arranged annular plates, and two adjacent groups of annular plates are connected by a netting. The bottom of the annular plate is equipped with a chemical dosing component, and the inner side of the innermost annular plate is equipped with an adapter sleeve.

Abstract: A horse-riding machine with rowing function includes a driven assembly hinged with a base assembly, one end of a moment arm is hinged with the driven assembly; an armrest of the driving assembly is provided at top of the main body rod, and the footrests are provided at a bottom of the main body rod. The bottom of the paddle rod is connected with the bottom of the main body rod, and the middle of the main body rod is hinged with the other end of the moment arm; when the driving assembly swings, the driven assembly is driven by the driving arm to swing back and forth through the moment arm; one end of the elastic rope is connected to the driven assembly, and the other end of the elastic rope is detachably fixed on the base assembly. When the driven assembly swings, the elastic rope is elastically stretched.

Abstract: The present disclosure provides a method and apparatus for evaluating a matching degree based on artificial intelligence, a device and a storage medium, wherein the method comprises: respectively obtaining word expressions of words in a query and word expressions of words in a title; respectively obtaining context-based word expressions of words in the query and context-based word expressions of words in the title according to the word expressions; generating matching features according to obtained information; determining a matching degree score between the query and the title according to the matching features. The solution of the present disclosure may be applied to improve the accuracy of the evaluation result.

Abstract: The present disclosure provides a method and apparatus for evaluating a matching degree of multi-domain information based on artificial intelligence, a device and a medium.