Abstract: Exemplary subpixel structures include a directional light-emitting diode structure characterized by a full-width-half-maximum (FWHM) of emitted light having a divergence angle of less than or about 10°. The subpixel structure further includes a lens positioned a first distance from the light-emitting diode structure, where the lens is shaped to focus the emitted light from the light-emitting diode structure. The subpixel structure still further includes a patterned light absorption barrier positioned a second distance from the lens. The patterned light absorption barrier defines an opening in the barrier, and the focal point of the light focused by the lens is positioned within the opening. The subpixels structures may be incorporated into a pixel structure, and pixel structures may be incorporated into a display that is free of a polarizer layer.

Abstract: The present disclosure is generally related to 3D imaging capable OLED displays. A light field display comprises an array of 3D light field pixels, each of which comprises an array of corrugated OLED pixels, a metasurface layer disposed adjacent to the array of 3D light field pixels, and a plurality of median layers disposed between the metasurface layer and the corrugated OLED pixels. Each of the corrugated OLED pixels comprises primary or non-primary color subpixels, and produces a different view of an image through the median layers to the metasurface to form a 3D image. The corrugated OLED pixels combined with a cavity effect reduce a divergence of emitted light to enable effective beam direction manipulation by the metasurface. The metasurface having a higher refractive index and a smaller filling factor enables the deflection and direction of the emitted light from the corrugated OLED pixels to be well controlled.

Abstract: A measurement system includes a camera and a processor. The camera is configured to capture a measurement card image of a measurement card, and the measurement card image includes a number of feature pattern images. The processor is electrically connected to the camera and configured for analyzing the feature pattern images to obtain a feature point coordinate of a feature point of each feature pattern image, and inputting the feature point coordinates into a conversion matrix to obtain a tip coordinate of a tip of the measurement card.

Abstract: The invention refers to a diffusion plate and a backlight module having the diffusion plate. The diffusion plate comprises a plate-body and a plurality of pyramid-like structures arranged on a surface of the plate-body. Each pyramid-like structure has a bottom surface, a first convex portion and a second convex portion. The first convex portion and the second convex portion have different vertex angles, and therefore the pyramid-like structure can also be called as “pyramid-like structure with multiple vertex angles”. The pyramid-like structures with multiple vertex angles can increase the light splitting points, which can improve the light splitting effect of the diffusion plate. The light source of a single light-emitting diode can be divided into eight point-light sources (light splitting points) or more, which is double the number of light splitting points compared with the traditional pyramid structure with single vertex, and thus can greatly improve the light diffusion effect.

Abstract: A method for manufacturing a nanosheet semiconductor device includes forming a poly gate on a nanosheet stack which includes at least one first nanosheet and at least one second nanosheet alternating with the at least one first nanosheet; recessing the nanosheet stack to form a source/drain recess proximate to the poly gate; forming an inner spacer laterally covering the at least one first nanosheet; and selectively etching the at least one second nanosheet.

Abstract: Disclosed is a light-emitting device which includes a light-emitting element and a wavelength conversion layer, and light of a first wavelength emitted by the light-emitting element is converted into light of a second wavelength and light of a third wavelength through the wavelength conversion layer. The light-emitting element includes a first contact layer, and the reflectivity of the first contact layer to the third wavelength is greater than 85%, so that the reflectivity of the light of the second wavelength and the light of the third wavelength converted by the wavelength conversion layer and reflected to the surface of the light-emitting element may be increased, and the white light conversion efficiency and the light extraction efficiency of the light-emitting device are improved.

Abstract: Provided is a stable formulation of a human papillomavirus virus-like particle vaccine. The stable formulation is composed of a human papillomavirus virus-like particle, a buffer solution, an osmotic pressure regulator, a surfactant and an aluminum adjuvant, wherein the components of the vaccine comprise HPV virus-like particles assembled by L1 proteins of HPV types 6, 11, 16, 18, 31, 33, 45, 52 and 58, and one or more HPV virus-like particles assembled by L1 proteins of other pathogenic HPV types. The formulation can enhance the stability of the vaccine and prolong the validity period of the vaccine in an aqueous formulation.

Abstract: Disclosed are an isolation method for a high-performance computer system, and a high-performance computer system. The isolation method comprises node-level isolation performed. The node-level isolation comprises: configuring a routing table for each computing node, and configuring, in the routing table, valid routing information for computing node pairs; when any one source computing node needs to communicate with a target computing node, determining, by lookup, whether valid routing information exists between the source computing node and the target computing node according to the configured routing table; if so, allowing the source computing node to communicate with the target computing node; otherwise, forbidding the source computing node from communicating with the target computing node.

Abstract: A physiological signal measurement device is disclosed. In some implementations, the physiological signal measurement device includes a fixing element, a rack, a first sensor, and a second sensor. The fixing element is configured to be fixed on a limb of a user. The rack is configured to engage the fixing element and includes a first end and a second end distal to the first end. The first sensor is disposed on the first end of the rack. The sensor is disposed on the second end of the rack. The first end of the rack has a first stiffness, the second end of the rack has a second stiffness, and the first stiffness is higher than the second stiffness.

Abstract: An image detection device and an image detection method are provided. The image detection method includes: obtaining an image, where the image includes an object; adjusting a first size of the image to generate an adjusted image; generating a first divided image and a second divided image according to the image; and detecting the object in the image based on a plurality of input images, where the plurality of input images includes the first divided image, the second divided image, and the adjusted image.

Abstract: An object detection device and an object detection method based on a neural network are provided. The object detection method includes: receiving an input image and identifying an object in the input image according to an improved YOLO-V2 neural network. The improved YOLO-V2 neural network includes a residual block, a third convolution layer, and a fourth convolution layer. A first input of the residual block is connected to a first convolution layer of the improved YOLO-V2 neural network, and an output of the residual block is connected to a second convolution layer of the improved YOLO-V2 neural network. Here, the residual block is configured to transmit, to the second convolution layer, a summation result corresponding to the first convolution layer. The third convolution layer and the fourth convolution layer are generated by decomposing a convolution layer of an original YOLO-V2 neural network.

Abstract: In one embodiment, example systems and methods related to a manner of optimizing LiDAR sensor placement on autonomous vehicles are provided. A range-of-interest is defined for the autonomous vehicle that includes the distances from which the autonomous vehicle is interested in collecting sensor data. The range-of-interest is segmented into multiple cubes of the same size. For each LiDAR sensor, a shape is determined based on information such as the number of lasers in each LiDAR sensor and the angle associated with each laser. An optimization problem is solved using the determined shape for each LiDAR sensor and the cubes of the range-of-interest to determine the locations to place each LiDAR sensor to maximize the number of cubes that are captured. The optimization problem may further determine the optimal pitch angle and roll angle to use for each LiDAR sensor to maximize the number of cubes that are captured.

Abstract: In one embodiment, a computing system of a vehicle may receive vehicle driving data associated with a vehicle driving in an environment and detected environment data associated with the environment. The system may generate a reference trajectory of the vehicle driving in the environment based on the vehicle driving data. The system may determine driving constraints associated with the environment based on the detected environmental data. The system may generate a trajectory of the vehicle based on the driving constraints. The system may determine a difference in at least one parameter associated with the trajectory relative to at least one corresponding parameter associated with the reference trajectory. The system may adjust weight values associated with cost functions of the trajectory based on the difference between the at least one parameter associated with the trajectory and the corresponding parameter associated with the reference trajectory.

Abstract: In one embodiment, a computing system of a vehicle may receive vehicle driving data associated with a vehicle driving in an environment and detected environment data associated with the environment. The system may generate a reference trajectory of the vehicle driving in the environment based on the vehicle driving data. The system may determine driving constraints associated with the environment based on the detected environmental data. The system may generate a trajectory of the vehicle based on the driving constraints. The system may determine a difference in at least one parameter associated with the trajectory relative to at least one corresponding parameter associated with the reference trajectory. The system may adjust weight values associated with cost functions of the trajectory based on the difference between the at least one parameter associated with the trajectory and the corresponding parameter associated with the reference trajectory.

Abstract: An image detection device and an image detection method are provided. The image detection method includes: obtaining an image, where the image includes an object; adjusting a first size of the image to generate an adjusted image; generating a first divided image and a second divided image according to the image; and detecting the object in the image based on a plurality of input images, where the plurality of input images includes the first divided image, the second divided image, and the adjusted image.

Abstract: An object detection device and an object detection method based on a neural network are provided. The object detection method includes: receiving an input image and identifying an object in the input image according to an improved YOLO-V2 neural network. The improved YOLO-V2 neural network includes a residual block, a third convolution layer, and a fourth convolution layer. A first input of the residual block is connected to a first convolution layer of the improved YOLO-V2 neural network, and an output of the residual block is connected to a second convolution layer of the improved YOLO-V2 neural network. Here, the residual block is configured to transmit, to the second convolution layer, a summation result corresponding to the first convolution layer. The third convolution layer and the fourth convolution layer are generated by decomposing a convolution layer of an original YOLO-V2 neural network.

Abstract: Examples disclosed herein may involve (i) generating a set of candidate trajectories for a vehicle that each comprise a respective series of planned states for the vehicle, (ii) scoring the candidate trajectories in the generated set of candidate trajectories using one or more reference models that are each configured to (a) receive input values for a respective set of feature variables that are correlated to a respective scoring parameter and (b) output a value for the respective scoring parameter that is reflective of human-driving behavior, (iii) based at least in part on the scoring, selecting a candidate trajectory from the generated set of candidate trajectories to serve as a planned trajectory for vehicle, and (iv) using the selected candidate trajectory as the planned trajectory for the vehicle.

Abstract: A biosensing system includes a biosensor, a light source, first and second photodetectors, and a calculator. The light source is disposed to irradiate the biosensor, so as to generate two or more of a coupled light beam, a reflected light beam, a transmitted light beam and a diffracted light beam. The first photodetector is disposed to measure an intensity of one of the generated light beams that is indicative of an effect of an analyte on light to obtain a first intensity value. The second photodetector is disposed to measure an intensity of another one of the generated light beams that is indicative of an effect of the analyte on light to obtain a second intensity value. The calculator performs compensation calculation based at least on the first and second intensity values.

Abstract: Disclosed herein is a 31.75 mm (1.25?) system that represents a new and improved custom frameless cabinet design and manufacturing method specifically for the North American market where imperial measurement system is used. The system is based on the concept of worldwide prevailing 32 mm European frameless cabinet making system and uses all existing 32 mm system machinery and tools. By using ready-to-use panel parts and corner cabinets, this system greatly increases custom cabinetry's manufacturing efficiency and all but eliminates the conversion proximity and error when using standard European 32 mm system.

Abstract: A biosensing system includes a biosensor, a light source, first and second photodetectors, and a calculator. The light source is disposed to irradiate the biosensor, so as to generate two or more of a coupled light beam, a reflected light beam, a transmitted light beam and a diffracted light beam. The first photodetector is disposed to measure an intensity of one of the generated light beams that is indicative of an effect of an analyte on light to obtain a first intensity value. The second photodetector is disposed to measure an intensity of another one of the generated light beams that is indicative of an effect of the analyte on light to obtain a second intensity value. The calculator performs compensation calculation based at least on the first and second intensity values.