Abstract: The disclosure belongs to the technical field of heat insulation materials, and discloses an in-situ microfibrillated reinforced polymer composite heat insulation foam material as well as a preparation method and application thereof. This disclosure adopts a polypropylene matrix, a fiber-forming polymer, an elastomer and an antioxidant as a foam material. The foaming material is subjected to a primary melt blending process and a hot stretching process first, then subjected to a secondary melt blending process and cooling granulation and subjected to a pressing process, and a composite board is obtained. The composite board is subjected to supercritical fluid foaming process, and a composite heat insulation foam material is obtained.

Abstract: The disclosure belongs to the technical field of heat insulation materials, and discloses an in-situ microfibrillated reinforced polymer composite heat insulation foam material as well as a preparation method and application thereof. This disclosure adopts a polypropylene matrix, a fiber-forming polymer, an elastomer and an antioxidant as a foam material. The foaming material is subjected to a primary melt blending process and a hot stretching process first, then subjected to a secondary melt blending process and cooling granulation and subjected to a pressing process, and a composite board is obtained. The composite board is subjected to supercritical fluid foaming process, and a composite heat insulation foam material is obtained.

Abstract: Embodiments of the present disclosure relate to a method and apparatus for generating a neural network. The method includes: acquiring a target neural network, the target neural network corresponding to a preset association relationship, and being configured to use two entity vectors corresponding to two entities in a target knowledge graph as an input, to determine whether an association relationship between the two entities corresponding to the inputted two entity vectors is the preset association relationship, the target neural network comprising a relational tensor predetermined for the preset association relationship; converting the relational tensor in the target neural network into a product of a target number of relationship matrices, and generating a candidate neural network comprising the target number of converted relationship matrices; and generating a resulting neural network using the candidate neural network.

Abstract: Embodiments of the present disclosure are directed to a method and an apparatus for generating training data for a visual question answering (VQA) system, and a computer readable medium. The method for generating training data for a visual question answering system includes: obtaining a first set of training data of the visual question answering system, the first set of training data comprising a first question for an image in the visual question answering system and a first answer corresponding to the first question; obtaining information related to the image; generating a second question corresponding to the first answer based on the information to obtain a second set of training data for the image in the visual question answering system, the second set of training data comprising the second question and the first answer.

Abstract: Embodiments of the present disclosure relate to a method, an apparatus, a device and a computer readable medium for generating VQA training data. The method comprises: obtaining a first group of training data of the VQA system, the first group of training data including a first question for an image in the VQA system and a first answer corresponding to the first question; determining a second question associated with the first question in term of semantic; and determining a second answer corresponding to the second question based on the first question and the first answer, to obtain a second group of training data for the image in the VQA system, the second group of training data including the second question and the second answer.

Abstract: Embodiments of the present disclosure provide a method, apparatus, electronic device, and computer readable storage medium for image-based data processing. The method includes: determining, in response to an inputted query for an image, an attribute associated with an object presented in the image based on a preset mapping between the object and the attribute, further includes: determining a degree of correlation between the object and the query based on the object and the attribute, and still further includes: providing a response to the query based on the degree of correlation between the object and the query. The embodiments of the present disclosure can improve the performance of the system for image-based data processing.

Abstract: Embodiments of the present disclosure disclose a method, apparatus, device, and readable storage medium for image-based data processing. The method comprises: acquiring an image and a to-be-processed text; extracting features of a plurality of objects in the image, and extracting a feature of the text; fusing the features of the plurality of objects into a fused feature of the image based on a matching degree between the feature of the text and a feature of each object of the plurality of objects; and processing the text based on the fused feature of the image and the feature of the text. Embodiments of the present disclosure can accurately learn an association relationship between a text and each object in an image, and improve the processing accuracy.

Abstract: Embodiments of the present disclosure disclose a visual question answering model, an electronic device and a storage medium. The visual question answering model includes an image encoder and a text encoder. The text encoder is configured to perform pooling on a word vector sequence of a question text inputted, so as to extract a semantic representation vector of the question text; and the image encoder is configured to extract an image feature of a given image in combination with the semantic representation vector.

Abstract: Embodiments of the present disclosure relate to a method and apparatus for generating a neural network. The method includes: acquiring a target neural network, the target neural network corresponding to a preset association relationship, and being configured to use two entity vectors corresponding to two entities in a target knowledge graph as an input, to determine whether an association relationship between the two entities corresponding to the inputted two entity vectors is the preset association relationship, the target neural network comprising a relational tensor predetermined for the preset association relationship; converting the relational tensor in the target neural network into a product of a target number of relationship matrices, and generating a candidate neural network comprising the target number of converted relationship matrices; and generating a resulting neural network using the candidate neural network.

Abstract: Embodiments of the present disclosure disclose a method, apparatus, device, and readable storage medium for image-based data processing. The method comprises: acquiring an image and a to-be-processed text; extracting features of a plurality of objects in the image, and extracting a feature of the text; fusing the features of the plurality of objects into a fused feature of the image based on a matching degree between the feature of the text and a feature of each object of the plurality of objects; and processing the text based on the fused feature of the image and the feature of the text. Embodiments of the present disclosure can accurately learn an association relationship between a text and each object in an image, and improve the processing accuracy.

Abstract: Embodiments of the present disclosure provide a method, apparatus, electronic device, and computer readable storage medium for image-based data processing. The method includes: determining, in response to an inputted query for an image, an attribute associated with an object presented in the image based on a preset mapping between the object and the attribute, further includes: determining a degree of correlation between the object and the query based on the object and the attribute, and still further includes: providing a response to the query based on the degree of correlation between the object and the query. The embodiments of the present disclosure can improve the performance of the system for image-based data processing.

Abstract: Embodiments of the present disclosure relate to a method, an apparatus, a device and a computer readable medium for generating VQA training data. The method comprises: obtaining a first group of training data of the VQA system, the first group of training data including a first question for an image in the VQA system and a first answer corresponding to the first question; determining a second question associated with the first question in term of semantic; and determining a second answer corresponding to the second question based on the first question and the first answer, to obtain a second group of training data for the image in the VQA system, the second group of training data including the second question and the second answer.

Abstract: Embodiments of the present disclosure are directed to a method and an apparatus for generating training data for a visual question answering (VQA) system, and a computer readable medium. The method for generating training data for a visual question answering system includes: obtaining a first set of training data of the visual question answering system, the first set of training data comprising a first question for an image in the visual question answering system and a first answer corresponding to the first question; obtaining information related to the image; generating a second question corresponding to the first answer based on the information to obtain a second set of training data for the image in the visual question answering system, the second set of training data comprising the second question and the first answer.

Abstract: A measuring equipment is provided. The equipment includes: a multi-axial actuated device; at least one sensor disposed on the multi-axial actuated device to adjust the orientation of the at least one sensor by the multi-axial actuated device, wherein scanning constraints of the sensor include a movable range of the at least one sensor, a scanning range of the at least one sensor and a scanning dead space of the at least one sensor for the contour of an object to be tested; a rotating device configured to rotate the object; and a processing device configured to obtain information relating to an optimal scanning orientation of the sensor based on the scanning constraints, and configured to control the multi-axial actuated device to adjust the at least one sensor.

Abstract: An information search method includes: receiving a client query keyword; acquiring, in a regular index database, a first search result associated with the query keyword; and querying, according to the query keyword, video and product summary information in a video product index database to acquire a second search result associated with the query keyword. The second search result has an address of a video clip associated with the query keyword, and the video product index database has the address of the video clip. The video summary information corresponds to the video clip, and the product summary information corresponds to a product demonstrated in the video clip. The first and second search results are pushed to the client. Improved user search efficiency, enriched search result of a querying, and shortened gap between the search result and the user's actual query demands are expected.

Abstract: An event reminding method and device as well as a mobile terminal are provided. The event reminding method includes: providing a user with information about a preset event for which the user requests a search; receiving a reminder request for the preset event from the user, the reminder request including a reminder triggering condition; and setting a reminder for the preset event; detecting whether the reminder triggering condition is met; and sending a reminder for the preset event to the user when the reminder triggering condition is met.

Abstract: A measuring equipment is provided. The equipment includes: a multi-axial actuated device; at least one sensor disposed on the multi-axial actuated device to adjust the orientation of the at least one sensor by the multi-axial actuated device, wherein scanning constraints of the sensor include a movable range of the at least one sensor, a scanning range of the at least one sensor and a scanning dead space of the at least one sensor for the contour of an object to be tested; a rotating device configured to rotate the object; and a processing device configured to obtain information relating to an optimal scanning orientation of the sensor based on the scanning constraints, and configured to control the multi-axial actuated device to adjust the at least one sensor.

Abstract: It discloses an iron-based montmorillonite medicine for treating hyperphosphatemia and iron deficiency anaemia, and the preparation method thereof. The medicine comprises effective ingredient iron-based montmorillonite (Fe-montmorillonite) which is obtained by soaking or eluting the medicinal montmorillonite by water soluble iron salt solution. The effective ingredient is added by pharmaceutic adjuvant or not to make medicanent which is given via gastrointestinal tract. The effective ingredient binds the phosphate in the patients' digestive tract to form insoluble matter which can be excreted from the body via the digestive tract, therefore the phosphate in the patients with chronic renal failure is reduced and the goal of treating hyperphosphatemia is achieved.

Abstract: It discloses an iron-based montmorillonite medicine for treating hyperphosphatemia and iron deficiency anaemia, and the preparation method thereof. The medicine comprises effective ingredient iron-based montmorillonite (Fe-montmorillonite) which is obtained by soaking or eluting the medicinal montmorillonite by water soluble iron salt solution. The effective ingredient is added by pharmaceutic adjuvant or not to make medicanent which is given via gastrointestinal tract. The effective ingredient binds the phosphate in the patients' digestive tract to form insoluble matter which can be excreted from the body via the digestive tract, therefore the phosphate in the patients with chronic renal failure is reduced and the goal of treating hyperphosphatemia is achieved.

Abstract: An information search method includes: receiving a client query keyword; acquiring, in a regular index database, a first search result associated with the query keyword; and querying, according to the query keyword, video and product summary information in a video product index database to acquire a second search result associated with the query keyword. The second search result has an address of a video clip associated with the query keyword, and the video product index database has the address of the video clip. The video summary information corresponds to the video clip, and the product summary information corresponds to a product demonstrated in the video clip. The first and second search results are pushed to the client. Improved user search efficiency, enriched search result of a querying, and shortened gap between the search result and the user's actual query demands are expected.