Abstract: This application provides a resource indication method and apparatus, and relates to the field of communication technologies. In the method, the first communication apparatus may receive resource indication information. The resource indication information may include resource unit allocation information for indicating one or more first VRUs, and station information of a station to which the one or more first VRUs are allocated. There is a mapping relationship between the first PRU and the first VRU. The first communication apparatus transmits data on the first PRU.

Abstract: Methods, systems, devices, and tangible non-transitory computer readable media for haze reduction are provided. The disclosed technology can include generating feature vectors based on an input image including points. The feature vectors can correspond to feature windows associated with features of different portions of the points. Based on the feature vectors and a machine-learned model, a haze thickness map can be generated. The haze thickness map can be associated with an estimate of haze thickness at each of the points. Further, the machine-learned model can estimate haze thickness associated with the features. A refined haze thickness map can be generated based on the haze thickness map and a guided filter. A dehazed image can be generated based on application of the refined haze thickness map to the input image. Furthermore, a color corrected dehazed image can be generated based on performance of color correction operations on the dehazed image.

Abstract: Methods, systems, devices, and tangible non-transitory computer readable media for haze reduction are provided. The disclosed technology can include generating feature vectors based on an input image including points. The feature vectors can correspond to feature windows associated with features of different portions of the points. Based on the feature vectors and a machine-learned model, a haze thickness map can be generated. The haze thickness map can be associated with an estimate of haze thickness at each of the points. Further, the machine-learned model can estimate haze thickness associated with the features. A refined haze thickness map can be generated based on the haze thickness map and a guided filter. A dehazed image can be generated based on application of the refined haze thickness map to the input image. Furthermore, a color corrected dehazed image can be generated based on performance of color correction operations on the dehazed image.

Abstract: Methods, systems, devices, and tangible non-transitory computer readable media for haze reduction are provided. The disclosed technology can include generating feature vectors based on an input image including points. The feature vectors can correspond to feature windows associated with features of different portions of the points. Based on the feature vectors and a machine-learned model, a haze thickness map can be generated. The haze thickness map can be associated with an estimate of haze thickness at each of the points. Further, the machine-learned model can estimate haze thickness associated with the features. A refined haze thickness map can be generated based on the haze thickness map and a guided filter. A dehazed image can be generated based on application of the refined haze thickness map to the input image. Furthermore, a color corrected dehazed image can be generated based on performance of color correction operations on the dehazed image.

Abstract: A diffusion-weighted magnetic resonance imaging (MRI) method acquires MRI scan data from a multi-direction, multi-shot, diffusion-weighted MRI scan, and jointly reconstructs from the MRI scan data 1) magnitude images for multiple diffusion-encoding directions and 2) phase images for multiple shots and multiple diffusion-encoding directions using an iterative reconstruction method. Each iteration of the iterative reconstruction method comprises a gradient calculation, a phase update to update the phase images, and a magnitude update to update the magnitude images. Each iteration minimizes a cost function comprising a locally low-rank (LLR) regularization constraint on the magnitude images from the multiple diffusion-encoding directions.

Abstract: Multi-shot diffusion-weighted magnetic resonance imaging acquires multiple k-space segments of diffusion-weighted MRI data, estimates reconstructed multi-shot diffusion weighted images, and combines the estimated images to obtain a final reconstructed MRI image. The estimation of images iteratively calculates updated multi-shot images from the multiple k-space segments and current multi-shot images using a convex model without estimating motion-induced phase, constructs multiple locally low-rank spatial-shot matrices from the updated multi-shot images, and calculates current multi-shot images from spatial-shot matrices.

Abstract: A method of magnetic resonance imaging performs a scan by a magnetic resonance imaging system to acquire k-space data; applies the k-space data as input to an unrolled convolutional neural network comprising multiple iterations, and generates reconstructed images from the output of the unrolled convolutional neural network by combining images from different shots. Each iteration of the unrolled network performs a first gradient update, applies the result to a first U-net in k-space, performs a second gradient update, and applies a second U-net in image space. The first gradient update and the second gradient update are based on a theoretical gradient from a physical measurement model.

Abstract: A diffusion-weighted magnetic resonance imaging (MRI) method acquires MRI scan data from a multi-direction, multi-shot, diffusion-weighted MRI scan, and jointly reconstructs from the MRI scan data 1) magnitude images for multiple diffusion-encoding directions and 2) phase images for multiple shots and multiple diffusion-encoding directions using an iterative reconstruction method. Each iteration of the iterative reconstruction method comprises a gradient calculation, a phase update to update the phase images, and a magnitude update to update the magnitude images. Each iteration minimizes a cost function comprising a locally low-rank (LLR) regularization constraint on the magnitude images from the multiple diffusion-encoding directions.

Abstract: A method and a device for controlling a heating temperature of an electric rice cooker and the electric rice cooker. The control method comprises: when determining that the electric rice cooker is in a boiling state, according to a temperature of a bottom temperature sensing bulb and a temperature of a top temperature sensing bulb, judging whether a bottom temperature of the electric rice cooker rises too fast (S110), when determining that the bottom temperature rises too fast, controlling a heating plate to temporally stop heating the bottom of the electric rice cooker (S120); and after the temperature of the bottom temperature sensing bulb falls to a first preset temperature, controlling the heating plate to reheat the bottom at a heating power in the boiling stage (S130).

Abstract: Multi-shot diffusion-weighted magnetic resonance imaging acquires multiple k-space segments of diffusion-weighted MRI data, estimates reconstructed multi-shot diffusion weighted images, and combines the estimated images to obtain a final reconstructed MRI image. The estimation of images iteratively calculates updated multi-shot images from the multiple k-space segments and current multi-shot images using a convex model without estimating motion-induced phase, constructs multiple locally low-rank spatial-shot matrices from the updated multi-shot images, and calculates current multi-shot images from spatial-shot matrices.

Abstract: A method and a device for controlling a heating temperature of an electric rice cooker and the electric rice cooker. The control method comprises: when determining that the electric rice cooker is in a boiling state, according to a temperature of a bottom temperature sensing bulb and a temperature of a top temperature sensing bulb, judging whether a bottom temperature of the electric rice cooker rises too fast (S110), when determining that the bottom temperature rises too fast, controlling a heating plate to temporally stop heating the bottom of the electric rice cooker (S120); and after the temperature of the bottom temperature sensing bulb falls to a first preset temperature, controlling the heating plate to reheat the bottom at a heating power in the boiling stage (S130).

Abstract: The disclosure provides a method for measuring X-ray energy of an accelerator in an inspection system. the method comprises: building a database comprising correspondence between half-value layer (HVL) and energy under a predetermined condition; measuring HVL for X-rays of the accelerator in the inspection system on line under the same predetermined condition; and comparing the measured HVL with the HVLs in the database comprising correspondence between HVL and energy to determine the X-ray energy of the accelerator. The method is applicable to a large-scale container/vehicle inspection system for measurement of X-ray energy/HVL of the accelerator so as to acquire source state of the inspection system in real time.

Abstract: The disclosure provides a method for measuring X-ray energy of an accelerator in an inspection system. the method comprises: building a database comprising correspondence between half-value layer (HVL) and energy under a predetermined condition; measuring HVL for X-rays of the accelerator in the inspection system on line under the same predetermined condition; and comparing the measured HVL with the HVLs in the database comprising correspondence between HVL and energy to determine the X-ray energy of the accelerator. The method is applicable to a large-scale container/vehicle inspection system for measurement of X-ray energy/HVL of the accelerator so as to acquire source state of the inspection system in real time.

Abstract: A photochromic composition for making optical materials comprising a polyurethane prepolymer formed by combining an isocyanate and a compound having an active hydrogen containing group, a polysilsequioxane and a photochromic compound. The photochromic composition may also include a monomer that has both an active hydrogen containing group and an unsaturated group. The polysilsesquioxane is incorporated as a copolymer and/or as a polysilsequioxane-chemically modified polyurethane.

Abstract: A scratch-resistant coating comprising a polymer including a functionalized polysilsesquioxane. The scratch-resistant coating is exposed to oxidizing conditions (e.g., ozone or ultraviolet light) that modify the surface chemistry of the coating to enhance adhesion to inorganic thin film coatings, such as antireflective coatings.

Abstract: A scratch-resistant coating comprising a polymer including a functionalized polysilsesquioxane. The scratch-resistant coating is exposed to oxidizing conditions (e.g., ozone or ultraviolet light) that modify the surface chemistry of the coating to enhance adhesion to inorganic thin film coatings, such as antireflective coatings.

Abstract: A photochromic composition for making optical materials comprising a polyurethane prepolymer formed by combining an isocyanate and a compound having an active hydrogen containing group, a polysilsequioxane and a photochromic compound. The photochromic composition may also include a monomer that has both an active hydrogen containing group and an unsaturated group. The polysilsesquioxane is incorporated as a copolymer and/or as a polysilsequioxane-chemically modified polyurethane.

Abstract: The present invention relates to an aqueous primer composition for use in manufacturing flexographic printing plates. The aqueous primer composition comprises a polyurethane, a copolymer, a layered silicate, and optionally a surfactant and/or a dye or pigment. The use of the layered silicate as a filler in the primer composition produces an improved primer composition with a stronger water/solvent resistance and less delamination.