Abstract: In a method for defecting surface defects, a trained weighting generated when defect-free training samples are used to train an autoencoder and pixel convolutional neural network is obtained. A test encoding feature is obtained by inputting the trained weighting into the autoencoder and pixel convolutional neural network and a weighted autoencoder of the weighted autoencoder and pixel convolutional neural network encoding a test sample. The test encoding feature is input into a weighted pixel convolution neural network of the weighted autoencoder and pixel convolutional neural network to output a result of test. The test result is either no defect in the test sample or at least one defect in the test sample. Inaccurate determinations as to defects are thereby avoided. An electronic device and a non-transitory storage medium are also disclosed.

Abstract: A carbon nanotube composite structure includes a carbon nanotube and a film-like structure. The carbon nanotube includes a p-type portion and an n-type portion. The film-like structure is a molybdenum disulfide film or a tungsten disulfide film, and the film-like structure covers the n-type portion.

Abstract: A dual-frequency and dual-polarization antenna array for simultaneously transmitting and receiving dual-frequency signals comprises: a first substrate, an array of dual-frequency and dual-polarization antennas, each antenna in the array comprising a first polarization antenna and a second polarization antenna. The first and second polarization antennas are laid out orthogonally in the first substrate, a horizontal distance between adjacent antennas being equal to a wavelength of frequency band of each antenna, the horizontal distance between adjacent antennas is smaller than a vertical distance between adjacent antennas. An electronic device comprising the dual-frequency and dual-polarization antenna array is also provided.

Abstract: An FET, a method for manufacturing such FET, and an integrated circuit are disclosed. The FET includes a substrate carrying a gate electrode, a gate dielectric layer, and a channel layer sequentially stacked on the substrate. An insulating layer, an etching stop layer, and a protective layer are stacked sequentially on the channel layer. Source and drain electrodes are also formed. A material of the channel layer includes a 2D material. The FET defines two through holes extending through the insulating layer, the etching stop layer, and the protection layer and the channel layer is exposed, the two through holes carry the source and drain electrodes to form a top or direct contact with the channel layer.

Abstract: A method for detecting product for defects implemented in an electronic device includes classifying a plurality of product images to be detected into linear images or non-linear images; performing dimension reduction processing on the product images after image classification according to a plurality of dimension reduction algorithms to obtain a plurality of dimension reduction data; determining an optimal dimension reduction data of the plurality of dimension reduction data; obtaining score data of the product image by inputting the optimal dimension reduction data into a Gaussian mixture model; comparing the score data with a threshold; determining whether the score data is less than the threshold; and determining that there is at least one defect in the product image in response that the score data is determined to be less than the threshold.

Abstract: A method of determining a distribution of stem cells in a cell image, an electronic device and a storage medium are disclosed. The method acquires a cell image and segments the cell image and obtaining a plurality of sub-images. The plurality of sub-images is inputted into a stem cell detection model to detect to obtain a number of stem cells in each sub-image. A position of each sub-image in the cell image is determined. A distribution of the stem cells in the cell image is output, according to the number of stem cells in each sub-image and the position of each sub-image in the cell image. The present disclosure an accuracy of the distribution of stem cells in the cell image.

Abstract: A method for navigating a pedestrian, implemented in an electronic device, includes, capturing images of an environment of a road around the pedestrian at preset time intervals in response to a navigation request from a mobile device carried by the pedestrian, and determining whether at least one first obstacle exists on a path of the pedestrian according to the captured images. Other pedestrians may be recognized in each image, and a movement track of the other pedestrian may be determined. Determine whether at least one second obstacle exists on the road and determine that at least one second obstacle exists on the road if the other pedestrian is deviating from a single direction. An obstacle avoidance prompt is sent to the mobile device if first obstacle and/or second obstacle exist on the road.

Abstract: A method for avoiding a collision between an autonomous mobile apparatus and a stationary or moving object initially deemed to be a collision threat includes acquiring a passage clearance of the object, from the point of view of the autonomous mobile apparatus, by establishing in two dimensions the nearest and the furthest physical parts of the object in the planned path of the autonomous mobile apparatus. Dimensions between the current position of the autonomous mobile apparatus and the at least two boundaries are computed as relative distances, and are considered as avoidance distances when the relative distances are greater than the passage clearance. For only one avoidance distance, a target boundary for clearance with safety is set based on the avoidance distance. The autonomous mobile apparatus moves along a specified direction to aim at the target boundary. An autonomous mobile apparatus applying the method is also disclosed.

Abstract: In a method for defecting surface defects, a weighting generated when defect-free training samples are used to train an autoencoder and pixel convolutional neural network is obtained. A test encoding feature is obtained by inputting the weighting into the autoencoder and pixel convolutional neural network and encoding a test sample with a weighted autoencoder of the weighted autoencoder and pixel convolutional neural network. The test encoding feature is divided into many sub-test encoding features. The sub-test encoding features are input into a weighted pixel convolution neural network of the weighted autoencoder and pixel convolutional neural network one by one to output a result of test, the test result being either no defect in the test sample or at least one defect in the test sample. Inaccurate defect determinations are avoided, and accurate determinations even of fine defects improved. An electronic device and a non-transitory storage medium are also disclosed.

Abstract: An anti-counterfeiting assembly includes a fixing member, a first connecting member, a second connecting member, an anti-counterfeiting member and a cover. The first connecting member fixed to the fixing member, the first connecting member defining a first receiving groove. The second connecting member movably connected to the first connecting member, the first connecting member is arranged between the fixing member and the second connecting member, the second connecting member defining a second receiving groove communicating with the first receiving groove. The anti-counterfeiting member includes an electronic screen and a battery arranged on the electronic screen, the battery disposed in the first receiving groove, the electronic screen disposed in the second receiving groove. The cover wrapping the first connecting member and the second connecting member, the second connecting member is adapted to move along a first direction away from the fixing member.

Abstract: In a method of distinguishing objects in images, a first image segmentation model is applied to segment a first segmented image including a first object from a test image. A second image segmentation model is applied to segment a second segmented image including a second object from the test image. A third segmented image marking the first object and the second object is obtained according to first coordinates of the first object in the first segmented image and/or second coordinates of the second object in the second segmented image. The method can segment different objects from an image quickly and accurately.

Abstract: A ceiling-mounted base station with aesthetic contours includes a housing assembly and a shielding assembly. The housing assembly includes a first housing and a second housing connected to the first housing. The first housing includes first portion, third portion, and second portion connected in that order. The first portion and the second portion are disposed on opposite surfaces of the third portion. The third portion defines a cable hole. The shielding assembly is disposed on the second portion and connected to the second portion or the third portion. The shielding assembly, the second portion, and the third portion cooperatively define a shielding cavity with an opening facing the exterior, the shielding cavity can receive cables.

Abstract: A method of preparing a lithium-ion battery electrode, S1, preparing a carbon nanotube raw material; S2, providing an electrode active material and a solvent; S3, mixing the carbon nanotube raw material and the electrode active material with the solvent to form a mixture, and stirring the mixture to form an electrode mixture; and S4, spraying the electrode mixture on a substrate to form an electrode layer, and removing the substrate and drying the electrode layer to form the lithium-ion battery electrode.

Abstract: A device control method implementing to blindly operate an electronic device through a border, comprises determining a control function corresponding to a first border area of the electronic device in response to the first border area receiving a first touch operation, outputting a prompt tone corresponding to the control function, obtaining operation information of the first touch operation, and performing a control task of the control function based on the operation information. The electronic device and a computer storage medium are also provided.

Abstract: A method for packaging blocks of a blockchain implemented in an electronic device. The method identifies whether a packaged block is valid, and extracts from a header of valid packaged block geographic location information of the submitting blockchain node. A mining difficulty of the electronic device is calculated according to the geographic location information of the electronic device and the blockchain node, and a random number is generated. A hash value is calculated according to the random number and a determination made as to whether the calculated hash value conforms to the mining difficulty. If the calculated hash value is determined to conform to the mining difficulty, the geographic location information of the electronic device is encoded into a new block and the new block is written into the blockchain.

Abstract: A method for detecting data defects and a computing device applying the method obtains a test image for analysis. A field to which the test image relates is determined. Based on the field, a target convolutional layer is determined from a convolutional neural network. The target convolutional layer is used to extract features of the test image. A target score of the test image and a score threshold corresponding to the field are determined. If the target score is less than the score threshold, it is determined that the test image reveals defects, thereby improving an accuracy of defect detection.

Abstract: A method for deploying bare computers implemented in an electronic device includes starting at least one bare computer to be deployed, and assigning an IP address to the at least one bare computer; downloading a deployment image to the at least one bare computer based on the IP address, and obtaining hardware information of the at least one bare computer based on the deployment image; determining at least one service to be provided by the bare computer according to a preset deployment strategy and the obtained hardware information of the bare computer; and generating a system image according to the at least one service to be provided by the bare computer, and deploying the system image in the bare computer.

Abstract: An anti-counterfeiting structure to prevent tampering or replacement of the authenticated product of a packaging box includes a fixing member, a connecting member, a first mounting member, a second mounting member, and an anti-counterfeiting member. The connecting member connected to the fixing member defines a first receiving groove. The first mounting member is disposed in the first receiving groove and defines a second receiving groove. The anti-counterfeiting member in the second receiving groove includes an electronic screen and a battery disposed on the electronic screen. The first mounting member can be readily moved along a first direction away from the connecting member, driving the electronic screen along the first direction and thereby separating the battery from the electronic screen, causing cancellation of the structure and the visible authenticity of the product within the packaging box.