Abstract: The present invention relates to the technical field of mine fire prevention and extinguishing, in particular to a liquid nitrogen direct injection and low-temperature foaming intelligent filling system based on mine fire area characteristics and an application method, comprising a liquid nitrogen storage tank, a liquid nitrogen direct injection system and a low-temperature foaming system, wherein the liquid nitrogen storage tank communicates with a liquid nitrogen pressurizing device through a main pipeline; a temperature control unit is arranged on the main pipeline; and the liquid nitrogen pressurizing device is connected with the liquid nitrogen direct injection system and the low-temperature foaming system, respectively, liquid nitrogen is directly injected into a foam liquid, to prepare a low-temperature foam type fire preventing and extinguishing material by means of forced convection, membrane boiling, explosion boiling and nucleate boiling between the liquid nitrogen and water.

Abstract: A system, method, and apparatus for generating a normalization of a single two-dimensional image of an unconstrained human face. The system receives the single two-dimensional image of the unconstrained human face, generates an undistorted face based on the unconstrained human face by removing perspective distortion from the unconstrained human face via a perspective undistortion network, generates an evenly lit face based on the undistorted face by normalizing lighting of the undistorted face via a lighting translation network, and generates a frontalized and neutralized expression face based on the evenly lit face via an expression neutralization network.

Abstract: The present disclosure provides an electrical device using a cooling device, which includes a first box, a second box arranged on one side of the first box, and a power device arranged inside the first box. The cooling device is arranged inside the second box, and the cooling device includes a substrate evaporator, a first condenser and a pipe. The cooling device is configured to collect the heat inside the first box to the second box, that is, the substrate evaporator directly absorbs the heat generated by the high-power devices inside the first box. Moreover, the spoiler fan arranged inside the first box can disturb the air inside the first box, so that the spoiler fan and the first box evaporator cooperate to exchange heat in the air inside the first box.

Abstract: A method for measuring the softening and melting performances of iron ore in blast furnace is disclosed, which is implemented by a device including a high temperature furnace, gas supply system, a loading system and a weighing system. The method includes: step 1: the dried coke and iron ore specimen are placed in the graphite crucible in a specified way; step 2: the graphite crucible is placed in the high temperature furnace, and N2 is continuously fed into the high temperature furnace to reach an airtightness requirement; step 3: a vacuum pump is used to extract mixed gas in a hearth of the high temperature furnace and heating process is started; step 4: both the composition of mixed gas and pressure imposed on the iron ore are controlled according to the designed temperature variation; step 5: data are acquired to calculate.

Abstract: A system, method, and apparatus for generating a normalized three-dimensional model of a human face from a single unconstrained two-dimensional image of the human face. The system includes a processor that executes instructions including receiving the single unconstrained two-dimensional image of the human face, using an inference network to determine an inferred normalized three-dimensional model of the human face based on the single unconstrained two-dimensional image of the human face, and using a refinement network to iteratively determine the normalized three-dimensional model of the human face with a neutral expression and unshaded albedo textures under diffuse lighting conditions based on the inferred normalized three-dimensional model of the human face.

Abstract: A radiator and an electrical device. The radiator includes a heat dissipation substrate and a heat dissipation assembly, wherein the heat dissipation substrate is provided with an installation position for installing the heat dissipation assembly, the installation position is provided with a stress release groove, and the heat dissipation assembly is welded on the installation position. According to the radiator provided in the present application, the stress release groove is provided in the installation position for installing the heat dissipation assembly on the heat dissipation substrate, such that the installation position is isolated from the connecting position of the heat dissipation assembly to form an island structure, and the island structure reduces stress pulling caused by thermal deformation of the two materials of the heat dissipation assembly and the radiator.

Abstract: A system, method, and apparatus for generating a normalization of a single two-dimensional image of an unconstrained human face. The system receives the single two-dimensional image of the unconstrained human face, generates an undistorted face based on the unconstrained human face by removing perspective distortion from the unconstrained human face via a perspective undistortion network, generates an evenly lit face based on the undistorted face by normalizing lighting of the undistorted face via a lighting translation network, and generates a frontalized and neutralized expression face based on the evenly lit face via an expression neutralization network.

Abstract: The present disclosure provides an electrical device using a cooling device, which includes a first box, a second box arranged on one side of the first box, and a power device arranged inside the first box. The cooling device is arranged inside the second box, and the cooling device includes a substrate evaporator, a first condenser and a pipe. The cooling device is configured to collect the heat inside the first box to the second box, that is, the substrate evaporator directly absorbs the heat generated by the high-power devices inside the first box. Moreover, the spoiler fan arranged inside the first box can disturb the air inside the first box, so that the spoiler fan and the first box evaporator cooperate to exchange heat in the air inside the first box.

Abstract: Devices and methods for single-view 3D hair modeling are disclosed. The method for single-view 3D hair modeling includes training, by a neural network processor, a volumetric autoencoder to encode a plurality of 3D hairstyles into latent features, and to generate an output based on the latent features. The method for single-view 3D hair modeling includes training, by the neural network processor, an embedding network to determine hair coefficients of a single hairstyle from an input image. The method for single-view 3D hair modeling includes receiving, by the neural network processor, the input image. The method for single-view 3D hair modeling includes synthesizing, by the neural network processor, hair strands to generate a single-view 3D model of the single hairstyle based on the volumetric autoencoder, the embedding network, and the input image.

Abstract: A heat dissipation device of an inverter is provided disclosed by the present application, which includes a heat sink base, a cooling module and a temperature equalizing plate arranged on the heat sink base. The cooling module is configured to dissipate heat from the heat sink base, the temperature equalizing plate is provided with a part mounting seat, and the heat sink base is arranged between the cooling module and the temperature equalizing plate. When in use, the heat sink base is mounted on the cooling module, the temperature equalizing plate is mounted on the heat sink base, and parts of the device are mounted on the part mounting seat.

Abstract: The present invention discloses a device and method for measuring the softening and melting performances of iron ore in blast furnace under a reducing condition. The device includes a high temperature furnace, a gas supply system, a loading system and a weighing system, where the high temperature furnace is provided with a hearth, which is provided therein with a graphite crucible and a temperature acquisition device; the gas supply system is used to inject a reducing gas including N2, H2, CO2 and CO into the hearth; the gas supply system includes a gas storage device and a gas mixing device; the loading system includes a loading rod; an upper end of the loading rod is connected with a loading device and a displacement sensor, and a lower end of the loading rod is provided with a loading head; the weighing system is used to weigh a droplet and iron ore specimen.

Abstract: Devices and methods for single-view 3D hair modeling are disclosed. The method for single-view 3D hair modeling includes training, by a neural network processor, a volumetric autoencoder to encode a plurality of 3D hairstyles into latent features, and to generate an output based on the latent features. The method for single-view 3D hair modeling includes training, by the neural network processor, an embedding network to determine hair coefficients of a single hairstyle from an input image. The method for single-view 3D hair modeling includes receiving, by the neural network processor, the input image. The method for single-view 3D hair modeling includes synthesizing, by the neural network processor, hair strands to generate a single-view 3D model of the single hairstyle based on the volumetric autoencoder, the embedding network, and the input image.

Abstract: A system for generating three-dimensional facial models including photorealistic hair and facial textures includes creating a facial model with reliance upon neural networks based upon a single two-dimensional input image. The photorealistic hair is created by finding a subset of similar three-dimensional polystrip hairstyles from a large database of polystrip hairstyles, selecting the most-alike polystrip hairstyle, deforming that polystrip hairstyle to better fit the hair of the two-dimensional image. Then, collisions and bald spots are corrected, and suitable textures are applied. Finally, the facial model and polystrip hairstyle are combined into a final three-dimensional avatar.

Abstract: A method for generating three-dimensional facial models and photorealistic textures from inferences using deep neural networks relies upon generating a low frequency and a high frequency albedo map of the full and partial face, respectively. Then, the high frequency albedo map may be used for comparison with correlation matrices generated by a neural network trained by a large scale, high-resolution facial dataset with simulated partial visibility. The corresponding correlation matrices of the complete facial textures can then be retrieved. Finally, a full facial texture map may be synthesized, using convex combinations of the correlation matrices. A photorealistic facial texture for the three-dimensional face rendering can be obtained through optimization using the deep neural network and a loss function that incorporates the blended target correlation matrices.

Abstract: A system for generating three-dimensional facial models including photorealistic hair and facial textures includes creating a facial model with reliance upon neural networks based upon a single two-dimensional input image. The photorealistic hair is created by finding a subset of similar three-dimensional polystrip hairstyles from a large database of polystrip hairstyles, selecting the most-alike polystrip hairstyle, deforming that polystrip hairstyle to better fit the hair of the two-dimensional image. Then, collisions and bald spots are corrected, and suitable textures are applied. Finally, the facial model and polystrip hairstyle are combined into a final three-dimensional avatar.

Abstract: Certain embodiments involve recognizing combinations of body shape, pose, and clothing in three-dimensional input images. For example, synthetic training images are generated based on user inputs. These synthetic training images depict different training figures with respective combinations of a body pose, a body shape, and a clothing item. A machine learning algorithm is trained to recognize the pose-shape-clothing combinations in the synthetic training images and to generate feature descriptors describing the pose-shape-clothing combinations. The trained machine learning algorithm is outputted for use by an image manipulation application. In one example, an image manipulation application uses a feature descriptor, which is generated by the machine learning algorithm, to match an input figure in an input image to an example image based on a correspondence between a pose-shape-clothing combination of the input figure and a pose-shape-clothing combination of an example figure in the example image.

Abstract: Certain embodiments involve recognizing combinations of body shape, pose, and clothing in three-dimensional input images. For example, synthetic training images are generated based on user inputs. These synthetic training images depict different training figures with respective combinations of a body pose, a body shape, and a clothing item. A machine learning algorithm is trained to recognize the pose-shape-clothing combinations in the synthetic training images and to generate feature descriptors describing the pose-shape-clothing combinations. The trained machine learning algorithm is outputted for use by an image manipulation application. In one example, an image manipulation application uses a feature descriptor, which is generated by the machine learning algorithm, to match an input figure in an input image to an example image based on a correspondence between a pose-shape-clothing combination of the input figure and a pose-shape-clothing combination of an example figure in the example image.

Abstract: A method for generating three-dimensional facial models and photorealistic textures from inferences using deep neural networks relies upon generating a low frequency and a high frequency albedo map of the full and partial face, respectively. Then, the high frequency albedo map may be used for comparison with correlation matrices generated by a neural network trained by a large scale, high-resolution facial dataset with simulated partial visibility. The corresponding correlation matrices of the complete facial textures can then be retrieved. Finally, a full facial texture map may be synthesized, using convex combinations of the correlation matrices. A photorealistic facial texture for the three-dimensional face rendering can be obtained through optimization using the deep neural network and a loss function that incorporates the blended target correlation matrices.