Abstract: The present invention proposes a method for intelligent management of valve production process data, a medium, and an apparatus. Through results of grid classification of sampling points, the method constructs information entropy of grid distribution density levels as well as grid distribution density, which takes into account the circumstance that sampling points may not exist in the classification space, so as to avoid grids where sampling points do not exist from affecting the local density of the sampling points; secondly, based on the core relative distance of the sampling points in a seed grid, the method constructs a coverage density distance, which takes into account the magnitude of the local density of the sampling points in the seed grid as well as differences in the distance from sampling points that have a relatively large local density in the other seed grids.

Abstract: The present invention proposes a method for intelligent management of valve production process data, a medium, and an apparatus. Through results of grid classification of sampling points, the method constructs information entropy of grid distribution density levels as well as grid distribution density, which takes into account the circumstance that sampling points may not exist in the classification space, so as to avoid grids where sampling points do not exist from affecting the local density of the sampling points; secondly, based on the core relative distance of the sampling points in a seed grid, the method constructs a coverage density distance, which takes into account the magnitude of the local density of the sampling points in the seed grid as well as differences in the distance from sampling points that have a relatively large local density in the other seed grids.

Abstract: A segmental precast composite-material composite-slab composite beam and a construction method thereof are provided, relating to the technical field of bridge design and construction. The segmental precast composite-material composite-slab composite beam mainly includes a segmental precast orthotropic composite top slab, a web, a bottom slab, and a wet joint between segments. The orthotropic composite top slab is composed of an orthotropic slab and an ultra-high-performance concrete layer (UHPC), and the interface connection of the orthotropic slab and the UHPC structural layer is achieved by a shear key. The UHPC structural layer is superposed with the orthotropic slab in segments in a precast plant to form a composite-slab composite beam segment to be entirely transported, hoisted and assembled, and the connection of the UHPC structural layers between the segments is achieved by casting a transverse wet joint in place.

Abstract: The present disclosure provides a method for processing defect information of a product, which includes the following steps of: acquiring defect information on a current film layer and defect information on historical film layers; determining whether defect information exists at a target location of the historical film layer if defect information exists at a target location of the current film layer; if defect information exists for a corresponding location to the target location in at least one of the historical film layers, deleting the defect information detected at the target location in the current film layer; and if no defect information exists for the target location in any of the historical film layers, retaining the defect information detected at the target location in the current film layer.

Abstract: The present invention provides an application of a compound in the preparation of drug for treating myelofibrosis and the related symptoms/signs thereof, and a use of the compound. The compound is selected form one or more of a compound having a structure as shown in formula I, and a pharmaceutically-acceptable salt, prodrug, solvate and hydrate thereof.

Abstract: An information pushing method, apparatus, device, storage medium, and computer program product are provided, relating to the technical field of Internet applications. The method includes: extracting an information feature of candidate information, the information feature including a coarse-grained feature and a fine-grained feature; obtaining a first feature of the candidate information based on an intermediate feature obtained in a process of extracting the coarse-grained feature; obtaining a second feature of the candidate information based on the information feature and the intermediate feature; obtaining target information based on the first feature and the second feature; and pushing the target information.

Abstract: This disclosure provides embodiments for context based vehicular traffic prediction. A trained neural network modeling a relationship between historical traffic data and associated historical contextual data for a roadway link is obtained. Expected contextual data for a future time period for the roadway link is acquired. Predicted traffic data for the future time period for the roadway link is generated with the trained neural network based on the expected contextual data.

Abstract: This application provides an image sensor (702) and image light sensing method. The image sensor (702) includes a red pixel (R), a green pixel (G), a blue pixel (B), and an invisible light pixel, where the red pixel (R), the green pixel (G), and the blue pixel (B) are large pixels, the invisible light pixel is a small pixel, and a light sensing area of the large pixel is greater than that of the small pixel. The red pixel (R), the green pixel (G), and the blue pixel (B) are arranged in a Bayer format. In this application, when color information is sufficient, light crosstalk caused by the small pixel to the large pixel can be reduced, and therefore a signal-to-noise ratio of the large pixel can be improved.

Abstract: This application provides an image obtaining method and apparatus. The image obtaining method according to this application includes: obtaining first original image data, where the first original image data is captured by an image sensor based on an initial visible light exposure parameter and luminous intensity of an infrared illuminator; obtaining a luminance of a visible light image based on the first original image data; adjusting the visible light exposure parameter based on a first difference, where the first difference is a difference between the luminance of the visible light image and preset target luminance of the visible light image; obtaining a luminance of an infrared image based on the first original image data; adjusting the luminous intensity of the infrared illuminator based on a second difference, where the second difference is a difference between the luminance of the infrared image and preset target luminance of the infrared image.

Abstract: A reversible LED lamp has a fixed support including first and second plate bodies. One side of the first body is connected to the second; the other is connected to a first limiting member. A rotating support includes a third plate body and rotating support member. One side of the third body is connected to a first rotating portion; the other side is connected to the rotating support member, below the second and third bodies. A side of the rotating support member close to the second body is flush therewith. The plate bodies and rotating support member form a power supply installation space. A light-emitting assembly is in a light source installation space in the rotating support member. When a power supply in the power supply installation space is repaired/replaced, the rotating support is unfolded. The rotating support is rotatable in the fixed support, which has an avoidance groove.

Abstract: The example embodiments disclose a system and method, a computer program product, and a computer system for improving solid-state drive performance. The example embodiments may include generating, by an affinity adapter located external to the solid-state drive, a plurality of affinities for each of a plurality of data to a respective plurality of subdivisions of data of a solid-state drive, wherein each of the plurality of data is associated with a logical block address (LBA) and each of the respective plurality of subdivisions has a physical block address (PBA).

Abstract: In an approach to intelligently choosing transport channels across protocols by drive type, one or more transport channels on a host are detected. One or more storage drive tiers on a target are detected. The one or more transport channels are mapped to the one or more storage drive tiers, based on performance. A transfer of a data between a host and the target is completed, using each transport channel and each storage drive tier.

Abstract: Systems and methods for a machine-learning based approach for classification of encrypted network traffic data are provided. According to various embodiment of the present disclosure, a network security device receives a stream of packets representing a network flow. Metadata relating to the stream of packets is determined. Application layer payload data of one or more packets of the stream of packets is matched against string patterns and regular expression patterns. Statistics relating to the application layer payload data are collected. The network flow is then classified as being associated with a particular network service of various network services by applying a machine-learning model to the metadata, results of the matching, and the collected statistics.

Abstract: The example embodiments disclose a system and method, a computer program product, and a computer system for improving solid-state drive performance. The example embodiments may include generating, by an affinity adapter located external to the solid-state drive, a plurality of affinities for each of a plurality of data to a respective plurality of subdivisions of data of a solid-state drive, wherein each of the plurality of data is associated with a logical block address (LBA) and each of the respective plurality of subdivisions has a physical block address (PBA).

Abstract: In an approach to intelligently choosing transport channels across protocols by drive type, one or more transport channels on a host are detected. One or more storage drive tiers on a target are detected. The one or more transport channels are mapped to the one or more storage drive tiers, based on performance. A transfer of a data between a host and the target is completed, using each transport channel and each storage drive tier.

Abstract: This disclosure provides embodiments for context based vehicular traffic prediction. A trained neural network modeling a relationship between historical traffic data and associated historical contextual data for a roadway link is obtained. Expected contextual data for a future time period for the roadway link is acquired. Predicted traffic data for the future time period for the roadway link is generated with the trained neural network based on the expected contextual data.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a storage medium, for generating thermal zones. In one aspect, a method includes identifying a perimeter zone for a first portion of a conceptual representation of a building; and dividing the perimeter zone into a plurality of thermal zones, comprising: determining a plurality of first candidate thermal zones based at least in part on a maximum thermal zone angle threshold that each of the first candidate thermal zones satisfy, determining a plurality of second candidate thermal zones based at least in part on a maximum thermal zone length threshold that each of the second candidate thermal zones satisfy, and selecting a plurality of thermal zones from the first candidate thermal zones and the second candidate thermal zones.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a storage medium, for generating thermal zones. In one aspect, a method includes identifying a perimeter zone for a first portion of a conceptual representation of a building; and dividing the perimeter zone into a plurality of thermal zones, comprising: determining a plurality of first candidate thermal zones based at least in part on a maximum thermal zone angle threshold that each of the first candidate thermal zones satisfy, determining a plurality of second candidate thermal zones based at least in part on a maximum thermal zone length threshold that each of the second candidate thermal zones satisfy, and selecting a plurality of thermal zones from the first candidate thermal zones and the second candidate thermal zones.