Abstract: Provided are a perovskite cell and a photovoltaic module. The perovskite cell includes a perovskite light absorption layer, a first carrier transport layer, a second carrier transport layer, a first transparent electrode layer, a second transparent electrode layer, and an optical adjustment layer, wherein the optical adjustment layer is arranged between the second carrier transport layer and the second transparent electrode layer; and the transmittance of the optical adjustment layer for visible light is greater than or equal to a preset transmittance, and the reflectivity of the optical adjustment layer for infrared light is greater than or equal to a preset reflectivity.

Abstract: A lithography method to pattern a first semiconductor wafer is disclosed. An optical mask is positioned over the first semiconductor wafer. A first region of the first semiconductor wafer is patterned by directing light from a light source through transparent regions of the optical mask. A second region of the first semiconductor wafer is patterned by directing energy from an energy source to the second region, wherein the patterning of the second region comprises direct-beam writing.

Abstract: Techniques for data recovery involve determining, based on a relationship between a missing inode in an inode table and a data logical address in an extension table, whether the inode is a target inode that is able to be recovered. The techniques further involve acquiring, in response to a determination that the inode is the target inode, associated data corresponding to the target inode. The techniques further involve recovering the inode based on the acquired associated data. Accordingly, volume-level data loss can be avoided, a data loss rate of a storage product can be reduced, and user satisfaction can be enhanced.

Abstract: A fingerprint identification module provided by the present disclosure includes a fingerprint identification panel provided with a fingerprint identification region; a middle shell including a partition plate and a middle frame, where the partition plate is at a side opposite a fingerprint identification side of the fingerprint identification panel, the partition plate is detachably connected to the middle frame, and the middle frame includes an accommodation space, the accommodation space being internally provided with the partition plate and the fingerprint identification panel; and a main board in the accommodation space, the main board being at a side, far away from the fingerprint identification panel, of the partition plate, and the main board being electrically connected to the fingerprint identification panel.

Abstract: An organometallic precursor for extreme ultraviolet (EUV) lithography is provided. An organometallic precursor includes an aromatic di-dentate ligand, a transition metal coordinated to the aromatic di-dentate ligand, and an extreme ultraviolet (EUV) cleavable ligand coordinated to the transition metal. The aromatic di-dentate ligand includes a plurality of pyrazine molecules.

Abstract: An automatic leveling device of a 3D printer, and a 3D printer is provided. The automatic leveling device includes a photoelectric switch, an electromagnetic assembly and a probe assembly. The photoelectric switch is arranged in a housing and defines a photosensitive groove. The electromagnetic assembly is arranged in the housing and defines a sliding hole. The probe assembly is slidably engaged in the sliding hole, and an end of the probe assembly is engaged in the photosensitive groove. The electromagnetic assembly is capable of driving the probe assembly to make the end of the probe assembly move out of the photosensitive groove. The automatic leveling device has the advantages of simple structure, low manufacturing difficulty, low production cost, simple and stable leveling mode, high detection repetition accuracy and no complex circuit and software cooperation.

Abstract: A solar tracking system includes a solar array, a support structure configured to support the solar array, a driveshaft coupled to the support structure, a base configured to rotatably support the driveshaft, and an articulation system coupled to the driveshaft and configured to articulate the driveshaft relative to the base. The articulation system includes a gearbox coupled to the driveshaft. The solar tracking system also includes a motor mechanically operably coupled to the gearbox to cause the driveshaft to rotate, and a controller that determines a fault caused by the winding up of the driveshaft, and, in response to determining the fault, shorting the windings of the motor and/or providing power, which is generated by the motor when the unwinding driveshaft drives the rotation of the motor, to a load, such as an energy storage device, a resistive load, and/or a heating element.

Abstract: An outdoor cabinet is disclosed and includes a cabinet, an active damper and a passive damper. The cabinet includes an air inlet, an air outlet and an accommodation space. The accommodation space is in communication with an outdoor environment through the air inlet and the air outlet, respectively. The active damper is arranged adjacent to the air inlet. The passive damper includes an exhaust fan and a damper blade. The exhaust fan is arranged adjacent to the air outlet. The damper blade is arranged between the air outlet and the outdoor environment. When the exhaust fan is in operation, the damper blade allows a heat-dissipation airflow to be discharged from the air outlet to the outdoor environment. When a wind pressure of the outdoor environment is greater than a wind pressure of the accommodation space, the damper blade closes the air outlet to protect electronic devices installed in the cabinet.

Abstract: The present disclosure provides systems and methods for motion correction of a positron emission computed tomography (PET) image. The method may include: obtaining scanned images of a scanned object generated at a plurality of time points; and determining a parametric image by performing a correction processing on the scanned images, wherein the correction processing may be configured to correct an influence of a motion of the scanned object on the scanned images.

Abstract: Embodiments of present invention provide a method of taking photo in a virtual reality environment. The method includes defining a group that includes multiple entities; detecting multiple directions that the multiple entities are facing based upon orientations of the multiple entities; identifying multiple extension lines that start from the multiple entities in the group and extend in the multiple directions; identifying one or more intersections associated with the multiple directions; identifying one or more connection lines that connect a center of the group to the one or more intersections; defining a camera line based on the one or more connection lines; determining a camera location along the camera line; taking an image of virtual view of the multiple entities by a virtual camera; and providing the image as a photo to the multiple entities in the group. A non-transitory storage medium and a computing environment are also provided.

Abstract: The disclosure relates to a method and system for AC line distance protection in AC/DC hybrid power grid, and storage medium.

Abstract: A method, system, and computer program product for reconstructing training data and building a new incremental learning model with the reconstructed training data that can be further trained. The method may include receiving new data to be inputted into a previously trained machine learning model, where the previously trained machine learning model has inaccessible training data. The method may also include generating simulated training data using a reverse form of the previously trained machine learning model. The method may also include verifying the simulated training data. The method may also include creating a new machine learning model using the simulated training data, where the new machine learning model includes a same structure as the previously trained machine learning model. The method may also include inputting the new data into the new machine learning model, where the new machine learning model is further trained with the new data.

Abstract: This disclosure provides a package structure for a semiconductor device, comprising a three-layer film consisting of a first SiO2 film, a Si3N4 film and a second SiO2 film stacked in this order, wherein the first SiO2 film is formed by a thermal oxidation process, the Si3N4 film is formed by a low pressure chemical vapor deposition process, and the second SiO2 film is formed by a low temperature atomic layer deposition process. This disclosure also provides a method for preparing the package structure for a semiconductor device.

Abstract: A mobile POS terminal includes an enclosure, a POS system, a touch display panel, a sealant, and at least two temperature sensors. The POS system is disposed in the enclosure. The touch display panel is disposed on the enclosure. The sealant is disposed between the touch display panel and the enclosure. The sealant attaches the touch display panel to the enclosure. The at least two temperature sensors are disposed at at least two corners of the enclosure and under the touch display panel. A tamper warning is generated according to detecting results of the temperature sensors.

Abstract: In some embodiments, a method analyzes content of a video to generate a representation for a video that represents a relationship of a bitrate to a quality measurement for the video. A plurality of candidate points on the representation are selected. Then, the method selects a profile ladder from at least a portion of the plurality of candidate points. Each profile in the profile ladder is associated with a candidate point and the profile includes a corresponding bitrate and a quality measurement for the respective candidate point. The profile ladder is used for the video.

Abstract: In some embodiments, a method selects a first template of pixels that is outside of a first block and a second template of pixels that is outside of the first block. Then, the method selects a first region of pixels that are inside the first block and a second region of pixels that are inside the first block. A first weight is calculated based on the first template of pixels and the first region of pixels and a second weight is calculated based on the second template of pixels and the second region of pixels. The first weight and the second weight are used in a motion prediction search for a second block.

Abstract: In some embodiments, a method receives a first video and processes frames of the first video to generate a second video. A frame matching process is performed to determine whether frames of the second video and frames of the first video meet a condition that determines whether frames match to generate a new version of the second video and a new version of the first video. A sequence of frames in the new version of the first video is different from the first video. The method compares frames of the new version of the second video and frames of the new version of the first video to generate a score based on a quality metric.

Abstract: A semiconductor device including: a first formation site and a second formation site for forming a first conductive bump and a second conductive bump; when a first environmental density corresponding to the first formation site is greater than a second environmental density corresponding to the second formation site, a cross sectional area of the second formation site is greater than a cross sectional area of the first formation site; wherein the first environmental density is determined by a number of formation sites around the first formation site in a predetermined range and the second environmental density is determined by a number of formation sites around the second formation site in the predetermined range; wherein a first area having the first environmental density forms an ellipse layout while a second area having the second environmental density forms a strip layout surrounding the ellipse layout.

Abstract: A three-in-one RGB mini-LED device includes a substrate, a second electrical semiconductor layer, a plurality of multiple-quantum well layers, a plurality of first electrical semiconductor layers, and a plurality of mirrors. The second electrical semiconductor layer is disposed on the substrate. The plurality of multiple-quantum well layers are disposed on the second electrical semiconductor layer. An area of each of the plurality of multiple-quantum well layers is smaller than an area of the second electrical semiconductor layer, and a region on the second semiconductor layer is not covered by the plurality of multiple-quantum well layers.

Abstract: After inputting input data to a floating pre-trained convolution neural network to generate floating feature maps for each layer of the floating pre-trained CNN model, a statistical analysis on the floating feature maps is performed to generate a dynamic quantization range for each layer of the floating pre-trained CNN model. Based on the obtained quantization range for each layer, the proposed quantization methodologies quantize the floating pre-trained CNN model to generate the scalar factor of each layer and the fractional bit-width of a quantized CNN model. It enables the inference engine performs low-precision fixed-point arithmetic operations to generate a fixed-point inferred CNN model.