Abstract: A defect detection method based on an image of products and an electronic device can accurately determine the error threshold by determining the reconstruction error generated during image reconstruction and by determining the estimated probability generated by the Gaussian mixture model. The test error can then be compared with the error, since the test error and the error threshold are compared numerically, the existence of subtle defects are revealed in the product image, thereby improving the accuracy of defect detection.

Abstract: A method for classifying cells densities by cell images being input into artificial computer intelligence obtains positional information of all central points of all groups of first encoding features generated when training a model of convolutional neural network and ranges of densities of images of biological cells represented by different central points. The method inputs a test image of the biological cells into a trained model of the convolutional neural network to encode the test image, to obtain a second encoding feature. The method also determines a central point nearest to the second encoding feature according to the positional information. The method determines a range of densities of the test image according to the ranges of densities of the images represented by different central points and the central point nearest to the second encoding feature. An electronic device and a non-transitory storage medium are also disclosed.

Abstract: A semiconductor with 3D flash memory storing cells giving an extended life time includes a stack structure in each storing cell, a receiving space crossing through the stack structure, a blocking layer, at least one floating gate layer, and a channel layer. The stack structure includes at least one control gate layer, at least two dielectric layers, and at least one erasing layer. The receiving space comprises a first receiving portion communicating with several second receiving portions. The first receiving portion crosses through the stack structure and the second receiving portions are coplanar with the control gate layer. The blocking layer insulates the floating gate layer from the control gate layers. The erasing layer and floating gate layer form a passageway for electrons when data erasure is required in the semiconductor. A method for fabricating the semiconductor is also disclosed.

Abstract: A method for marking defects of products implemented in an electronic device is provided. The method includes obtaining at least one detection image of a product to be marked; recognizing a position and a type of at least one defect on the product according to the at least one detection image; transmit the position and the type of the at least one apparent defect to a robot arm; controlling the robot arm to mark the at least one defect on an adhesive film according to the position and the type of the at least one defect; and controlling a film coating unit to apply the adhesive film which is marked to the product.

Abstract: A method of determining a congestion degree of a compartment applied to an electronic device is provided. The electronic device determines a remaining carrying space of the compartment according to a binarized passenger distribution image of the compartment. A predicted remaining number of passengers that can be carried in the compartment is determined according to the remaining carrying space. The electronic device determines a recommended remaining number of passengers that can be carried in the compartment based on a number of passengers currently in the compartment, the predicted remaining number of passengers, and a maximum number of passengers that can be carried in the compartment. The electronic device can determine the degree of congestion of the compartment according to the recommended remaining number of passengers that can be carried in the compartment and the maximum number of passengers that can be carried in the compartment.

Abstract: A method for processing scanning electron microscope specimen is provided. The method comprises: providing a specimen to be observed; providing a carbon nanotube array comprising a plurality of carbon nanotubes; and pulling a carbon nanotube film from the carbon nanotube array, and laying the carbon nanotube film on a surface of the specimen, wherein the carbon nanotube film comprising a plurality of through holes.

Abstract: A blockchain creation method and a computing device are disclosed, the method obtains a plurality of first edge computing nodes at a preset first distance from the cloud center, and creates a main chain based on the cloud center and the plurality of first edge computing nodes. At least one first edge computing node is selected from the plurality of first edge computing nodes as a shared edge computing node, and a plurality of second edge computing nodes at a preset second distance are obtained from the shared edge computing node, then creating at least one side chain based on the shared edge computing node and the plurality of second edge computing nodes. A block generated in the at least one side chain is written into the main chain. Data synchronization and security during transmission in the distributed system can be ensured.

Abstract: A blockchain transaction privacy protection method includes receiving a transaction request sent by a receiving node device, the request including a plurality of receiving accounts and a total amount receivable, and sending a plurality of transaction sequence numbers and a virtual wallet address corresponding to each of the plurality of transaction sequence numbers to the receiving node device, thereby making the receiving node device send a total amount receivable, the plurality of transaction sequence numbers, and the virtual wallet address corresponding to the plurality of transaction sequence numbers to a granting node device. A total amount receivable and the plurality of transaction sequence numbers sent by the granting node device are received. A transaction amount to each receiving account of the receiving node device according to the total amount receivable and the plurality of transaction sequence numbers are transferred, protecting the amount of the transaction and the parties.

Abstract: An image defect detection method used in an electronic device, calculates a Kullback-Leible divergence between a first probability distribution and a second probability distribution, and thereby obtains a total loss. Images of samples for testing are input into an autoencoder to calculate a second latent features of the testing sample images and the second reconstructed images. Second reconstruction errors are calculated by a preset error function, as is a third probability distribution of the second latent features, and a total error is calculated according to the third probability distribution and the second reconstruction errors. When the total error is greater than or equal to the threshold, determining that the images of samples for testing reveal defects, and when the total error is less than the threshold, determining that the images of samples for testing reveal no defects.

Abstract: A method of logging in to an operating system applied to an electronic device is provided. A distributed identity document corresponding to a login request is obtained by querying a blockchain in response to the login request. A target public key is extracted from the distributed identity document, and an encrypted first character string is obtained by encrypting a first character string using the target public key. The encrypted first character string is sent to the user terminal. Once a second character string is received from the user terminal, whether or not allow the user terminal to log in to the operating system is determined according to the first character string and the second character string.

Abstract: A method for determining a plant growth curve includes obtaining color images and depth images of a plant to be detected at different time points, performing alignment processing on each color image and each depth image to obtain an alignment image, detecting the color image through a pre-trained target detection model to obtain a target bounding box, calculating an area ratio of the target bounding box in the color image, determining a depth value of all pixel points in the target boundary frame according to the aligned image, performing denoising processing on each depth value to obtain a target depth value, generating a first growth curve of the plant to be detected according to the target depth values and corresponding time points, and generating a second growth curve of the plant to be detected according to the area ratios and the corresponding time points.

Abstract: A fingerprint identification module collimating light reflected by fingertip skin patterns defines a fingerprint identification area and a peripheral area, for identifying fingerprints. The module includes a first light-shielding layer, optical sensors, a second light-shielding layer, a supporting portion, and a gap portion. The first and second light-shielding layers each define through holes (first and second through holes). Each second through hole exposes one optical sensor and is aligned with one first through hole. The supporting portion in the peripheral area bonds the first and second substrates, maintaining a certain distance between the first and second light-shielding layers. The gap portion is in the fingerprint identification area. Light reflected by a fingerprint is collimated by the first through holes, the gap portion, and the second through holes and then received as optical signals by the sensors to realize fingerprint imaging.

Abstract: A pressure-driven solar photovoltaic panel automatic tracking device includes a photovoltaic panel, a rotating shaft, a rotating wheel, a transmission component, a first counterweight, a second counterweight, a bellow tube, and a gas supply mechanism; the photovoltaic panel is fixed to the rotating shaft, the rotating wheel is fixed to the rotating shaft, the rotating wheel is provided with the transmission component, and both ends of the transmission component are respectively connected to the first counterweight and the second counterweight; the first counterweight is connected to the bellow tube, and the bellow tube is connected to the gas supply mechanism; and the bellow tube is expanded and contracted by controlling the gas supply mechanism, so that the first counterweight moves in the vertical direction, thereby driving the rotating wheel to rotate, so as to realize the automatic tracking of the sunlight by the photovoltaic panel.

Abstract: A data test method, an electronic device, and a storage medium are provided. In the data test method, based on a Density-Based Spatial Clustering of Applications with Noise (DBSCAN), at least one cluster is obtained by removing discrete points in the target data and performing clustering, an calculation result is obtained by performing a regression analysis on the target data with the objective function, and parameters to be tested are verified according to the calculation result. Utilizing the data test method, objective function can be used to perform verification and residual analysis on the target data, related descriptions are be repeated here.

Abstract: A digital mirroring method includes creating a digital model for each physical device of a plurality of physical devices located in a physical space. Once a related data of each physical device is obtained, the related data of each physical device is mapped to corresponding digital model.

Abstract: A torsion balance is provided which includes a twisting wire and a reflector. The twisting wire is a suspended carbon nanotube. The reflector is hung on the twisting wire. The reflector further includes a film, a first reflecting layer, and a second reflecting layer; and the film includes a first surface and a second surface opposite to the first surface, and the first reflecting layer is located on the first surface and the second reflecting layer is located on the second surface.

Abstract: A thin film transistor includes a gate electrode, a gate insulating layer, a carbon nanotube structure, a source electrode and a drain electrode. The gate insulating layer is located on the gate electrode. The carbon nanotube structure is located on the gate insulating layer. The source electrode and the drain electrode are arranged at intervals and electrically connected to the carbon nanotube structure respectively. The thin film transistor further includes an interface charge layer, and the interface charge layer is located between the carbon nanotube structure and the gate insulating layer.

Abstract: A method for determining a height of a plant, an electronic device, and a storage medium are disclosed. In the method, a target image is obtained by mapping an obtained color image with an obtained depth image. The electronic device processes the color image by using a pre-trained mobilenet-ssd network, obtains a detection box appearance of the plant, and extracts target contours of the plant to be detected from the detection box. The electronic device determines a depth value of each of pixel points in the target contour according to the target image. Target depth values are obtained by performing a de-noising on depth values of the pixel points, and a height of the plant to be detected is determined according to the target depth value. The method improves accuracy of height determination of a plant.

Abstract: A compact optical imaging device with short optical length and low sensitivity, for use in an imaging module and an electronic device, comprises first to fifth lenses and a filter. An image-side surface of the fourth lens is convex near an optical axis of the optical imaging device. An image-side surface of the fifth lens is concave near the optical axis. The optical imaging device satisfies formulas 0.03 mm/°<TL5/FOV<0.1 mm/° and 2.4 mm<TL4/FNO<2.9 mm, TL5 being a distance from an object-side surface of the fifth lens to an image plane of the optical imaging device along the optical axis, FOV being a maximum field of view, TL4 being a distance from an object-side surface of the fourth lens to the image plane along the optical axis, and FNO being a F-number of the optical imaging device.