Abstract: An embodiment of the present application provides a head-mounted display device. In the head-mounted display device, an optical imaging apparatus includes an image source element, a beam splitter element, and a reflective element configured to be aligned on an optical path; a structure of an absorbing element and a position of the absorbing element relative to the optical imaging apparatus configured to enable the absorbing element to absorb at least a portion of stray light in a first light region and cause real scene light in a second light region to pass through, the first light region is defined by a human eye mirror position and two ends of the beam splitter element, the second light region is defined by a human eye position, a human eye viewing angle, and an end of the beam splitter element that is away from the image source element, wherein the human eye mirror position is a mirror symmetry point of the human eye position with respect to the beam splitter element.

Abstract: Flame retardant composition including: an optionally crosslinked rubber, an intumescent composition comprising a phosphate and a melamine polymer formed by combining melamine, formaldehyde, dicyandiamide, and aluminum hydroxide thereby forming the intumescent composition, a ceramic forming mixture, at least one glass additive, layered silicate nanoparticles, and optionally an antioxidant; and methods of preparation and use thereof.

Abstract: A method for image processing, which comprises the following steps: Generating a first histogram from a first image; Calculating a first parameter profile from the first image indicative of the quality of the first image; Adjusting the first parameter profile to generate a second parameter profile; Using the second parameter profile to generate a statistical distribution via a statistical distribution generator, wherein the statistical distribution is characterized by at least three parameters; Using the statistical distribution to perform a histogram specification to the first histogram of the first image to generate a second histogram; Generating a second image based on the first image and the second histogram.

Abstract: An electronic device may include wireless circuitry with a transmit antenna that transmits signals and a receive antenna that receives reflected signals. The wireless circuitry may detect a range between the device and an external object based on the transmitted signals and the reflected signals. When the range exceeds a first threshold, the wireless circuitry may use the transmitted signals and received signals to record background noise. When the range is less than a second threshold value, the wireless circuitry may detect the range based on the reflected signals and the recorded background noise. This may allow the range to be accurately measured within an ultra-short range domain even when the device is placed in different device cases, placed on different surfaces, etc.

Abstract: A display panel and an electronic device with a narrow lower border. The display panel includes a left border, a right border and a lower border. The lower border has a length direction extending from the left border to the right border. The lower border is provided with a first detection area, a first installation area, a bonding area, a second installation area and a second detection area which are arranged sequentially along the length direction. The bonding area is used to bond a flexible circuit board. The first installation area is used to install a first driving chip. The second installation area is used to install a second driving chip. The first detection area and the second detection area are used to transmit test signals to the display panel before bonding the flexible circuit board and before installing the first driving chip and the second driving chip.

Abstract: An electronic device may include a processor and wireless circuitry with transmit and receive antennas. Radar circuitry may use the transmit and receive antennas to perform spatial ranging on external objects farther than a threshold distance (e.g., 1-2 cm) from the transmit antenna. The wireless circuitry may include a voltage standing wave ration (VSWR) sensor coupled to the transmit antenna to detect the presence of objects within the threshold distance from the transmit antenna. This may serve to cover a blind spot for the radar circuitry near to the transmit antenna. The VSWR sensor may gather background VSWR measurements when other wireless performance metric data for the wireless circuitry is within a predetermined range of satisfactory values. The background VSWR measurements may be subtracted from real time VSWR measurements to perform accurate and robust ultra-short range object detection near to the transmit antenna.

Abstract: A method (100) for performing event detection on a data stream is disclosed, the data stream comprising data from a plurality of devices connected by a communications network. The method comprises using an autoencoder to concentrate information in the data stream, wherein the autoencoder is configured according to at least one hyperparameter (110) and detecting an event from the concentrated information (120). The method further comprises generating an evaluation of the detected event on the basis of logical compatibility between the detected event and a knowledge base (130), and using a Reinforcement Learning (RL) algorithm to refine the at least one hyperparameter of the autoencoder, wherein a reward function of the RL algorithm is calculated on the basis of the generated evaluation (140). Also disclosed are a system (900) for performing event detection, and a method (1100) and node (1200) for managing an event detection process.

Abstract: Systems and methods for object detection generate a feature pyramid corresponding to image data, and rescaling the feature pyramid to a scale corresponding to a median level of the feature pyramid, wherein the rescaled feature pyramid is a four-dimensional (4D) tensor. The 4D tensor is reshaped into a three-dimensional (3D) tensor having individual perspectives including scale features, spatial features, and task features corresponding to different dimensions of the 3D tensor. The 3D tensor is used with a plurality of attention layers to update a plurality of feature maps associated with the image data. Object detection is performed on the image data using the updated plurality of feature maps.

Abstract: An electronic device may include a processor and wireless circuitry with transmit and receive antennas. Radar circuitry may use the transmit and receive antennas to perform spatial ranging on external objects farther than a threshold distance (e.g., 1-2 cm) from the transmit antenna. The wireless circuitry may include a voltage standing wave ration (VSWR) sensor coupled to the transmit antenna to detect the presence of objects within the threshold distance from the transmit antenna. This may serve to cover a blind spot for the radar circuitry near to the transmit antenna. The VSWR sensor may gather background VSWR measurements when other wireless performance metric data for the wireless circuitry is within a predetermined range of satisfactory values. The background VSWR measurements may be subtracted from real time VSWR measurements to perform accurate and robust ultra-short range object detection near to the transmit antenna.

Abstract: A high strength, hot rolled abrasive wear resistant steel strip with low carbon equivalent values, with a Brinell hardness in the range of 400-465 HBW and a tensile strength in the range of 1180-1500 MPa for strip thicknesses in the range of 3-20 mm, as well as a process for producing such a high strength, hot rolled abrasive wear resistant steel strip.

Abstract: A method for image processing, which comprises the following steps: Generating a first histogram from a first image; Calculating a first parameter profile from the first image indicative of the quality of the first image; Adjusting the first parameter profile to generate a second parameter profile; Using the second parameter profile to generate a statistical distribution via a statistical distribution generator, wherein the statistical distribution is characterized by at least three parameters; Using the statistical distribution to perform a histogram specification to the first histogram of the first image to generate a second histogram; Generating a second image based on the first image and the second histogram.

Abstract: Method for preparing porous polyurethane materials with controlled pore size and shape using isocyanates, polyols, and additives, and the porous polyurethane materials prepared therefrom. Method for preparing porous polyimides using at least one polyamine and a dianhydride and the porous polyimides materials prepared therefrom. The porous materials are useful for energy management, such as thermal, impact and vibration energy, and can exhibit improved fire-resistant performance.

Abstract: A method for image processing, which comprises the following steps: Generating a first histogram from a first image; Calculating a first parameter profile from the first image indicative of the quality of the first image; Adjusting the first parameter profile to generate a second parameter profile; Using the second parameter profile to generate a statistical distribution via a statistical distribution generator, wherein the statistical distribution is characterized by at least three parameters; Using the statistical distribution to perform a histogram specification to the first histogram of the first image to generate a second histogram; Generating a second image based on the first image and the second histogram.