Abstract: The present disclosure relates to the technical field of electronic glass, and specifically relates to an alkali-free boron aluminosilicate glass with high thermal stability and high crystallization margin and a method for preparing the same. alkali-free boron aluminosilicate glass thermal stability In mole percentage, raw materials for preparing the alkali-free boron aluminosilicate glass with high thermal stability and high crystallization margin include: 68.54 to 72.82% SiO2, 11.84 to 13.5% Al2O3, ?2.23% B2O3, 4.72 to 6.6% MgO, 4.65 to 5.8% CaO, 0.8 to 1.5% SrO, 3.2 to 3.79% BaO, and 0.1% SnO2, SiO2+Al2O3 is 81.63 to 84.66%, and (MgO+CaO+SrO+BaO)/Al2O3 is 1.15 to 1.30.

Abstract: The present disclosure discloses a method for determining the minimum number of samples required for obtaining dielectric breakdown strength, belonging to the field of dielectric analysis technology. The method includes: characterizing a current key quantity of each sub-distribution by using a set current experiment sample size, a reliability measure and a reliability estimate of Weibull sub-distributions corresponding to respective breakdown causes to select target sub-distributions; considering a relationship between the current key quantity of the target sub-distributions and a reference value, if the current key quantity is greater than the reference value, then increasing the current experiment sample size until the corresponding current key quantity is less than the reference value, and taking the current experiment sample size as the minimum number of samples.

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 low thermal shrinkage glass and a method for preparing thereof are provided. A raw material of the low thermal shrinkage glass includes the following components in molar percentages: 69.64% to 71% SiO2, 12.5% to 13.34% Al2O3, 0.73% to 1.68% B2O3, 5.6% to 5.89% MgO, 5.15% to 5.19% CaO, 1.1% to 1.2% SrO, 3.29% to 3.49% BaO, and 0.1% SnO2.

Abstract: Disclosed is a high-hardness electronic glass and its preparation method. Raw materials of the high-hardness electronic glass include components, by a mass percentage, consisting of: 58.3%-62.93% of SiO2, 23.02%-25.94% of Al2O3, 1.95%-5.02% of B2O3, 2.07%-4.21% of Li2O, 0%-2.88% of Na2O, 0%-2.29% of K2O, 0%-3.30% of TiO2, 0%-3.99% of ZrO2, and 0%-4.17% of P2O5, and a sum of the mass percentages of the components is 100%.

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 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: 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: 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.