Abstract: Provided are a method and apparatus for identifying a malicious mining behavior, an electronic device, and a storage medium. The method includes: obtaining operation data corresponding to a target operation, on capturing of the target operation; extracting a wallet address from the operation data to obtain a wallet address set obtaining data of a network outgoing connection for external access, and determining whether the data of the network outgoing connection comprises a wallet address belonging to the wallet address set and determining that the data of the network outgoing connection corresponds to the malicious mining behavior, on determining that the data of the network outgoing connection comprises a wallet address belonging to the wallet address set.

Abstract: A terminal, comprising one or a plurality of processors, wherein the one or plurality of processors execute a machine-readable instruction to perform: receiving an object in a live streaming; displaying the object on the terminal; detecting a keyword in the object corresponding to a function in the live streaming; and triggering the function in response to an operation on the object. The present disclosure may allow the streamers to generate or amend an object such as stickers on the live streaming room in a more flexible manner. At the same time, the viewer may perform an operation on the object to realize a corresponding function in a more convenient manner. Therefore, the interaction among streamers and viewers may be increased, and the user experience may also be enhanced.

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 process for treating aged oil by electron beam irradiation is disclosed, comprising the following steps: step 1, homogenizing the aged oil and then feeding the aged oil into a distributor; step 2, forming a liquid layer having a certain thickness on the distributor; step 3, installing and debugging an electron beam irradiation device on the distributor; step 4, installing and debugging a phased-array microwave emitter on the distributor after installing and debugging the electron beam irradiation device; step 5, turning on the electron beam irradiation device and the phased-array microwave emitter; and step 6, dividing the treated aged oil and then allowing the aged oil after dividing to enter an oil pool and a water pool for standing. Oil flows out from an upper layer of the oil pool, a lower layer of the oil pool flows back to an aged oil storage pool.

Abstract: A method includes forming a first transistor, which includes forming a first gate dielectric layer over a first channel region in a substrate and forming a first work-function layer over the first gate dielectric layer, wherein forming the first work-function layer includes depositing a work-function material using first process conditions to form the work-function material having a first proportion of different crystalline orientations and forming a second transistor, which includes forming a second gate dielectric layer over a second channel region in the substrate and forming a second work-function layer over the second gate dielectric layer, wherein forming the second work-function layer includes depositing the work-function material using second process conditions to form the work-function material having a second proportion of different crystalline orientations.

Abstract: A test method and device for simulating a customer series deployment environment, an electronic device, and a storage medium are provided. The test method for simulating a customer series deployment environment includes: obtaining traffic data of an on-site protected host; obtaining session data between the on-site protected host and a server on the basis of the traffic data, and extracting application layer data from the session data; and transmitting and receiving the application layer data in a local test environment to carry out simulation test.

Abstract: The present disclosure is directed to a semiconductor device. The semiconductor device includes a substrate, an insulating layer disposed on the substrate, a first conductive feature disposed in the insulating layer, and a capacitor structure disposed on the insulating layer. The capacitor structure includes a first electrode, a first dielectric layer, a second electrode, a second dielectric layer, and a third electrode sequentially stacked. The semiconductor device also includes a first via connected to the first electrode and the third electrode, a second via connected to the second electrode, and a third via connected to the first conductive feature. A part of the first via is disposed in the insulating layer. A portion of the first conductive feature is directly under the capacitor structure.

Abstract: The disclosure relates to the field of artificial intelligence. Disclosed in the disclosure are a method and apparatus for detecting a malicious Portable Executable (PE) file, and a device and a medium. The method includes: disassembling a target PE file according to a preset file disassembling method, so as to acquire file header information, file optional header information, file section header information, and section information; using a trained sparse self-encoding neural network model to respectively vectorize each piece of header information, and using a trained text classification model to vectorize the section information; and fusing each vectorized vector, and inputting fused vectors into a neural network model, so as to acquire a detection result outputted by the neural network model. The neural network model is obtained by using a preset knowledge transfer method to perform model transfer on each trained sparse self-encoding neural network model and text classification model.

Abstract: A lens assembly includes a first lens, a second lens, a third lens, and a cover glass. The first lens is with positive refractive power and includes a convex surface facing an image side. The second lens is a meniscus lens with refractive power. The third lens is with positive refractive power and includes a convex surface facing the image side. The first lens, the second lens, the third lens, and the cover glass are arranged in order from the image side to an object side along a first optical axis.

Abstract: An asset risk assessment method, an apparatus, a computer device, and a storage medium are provided. The asset risk assessment method includes: receiving an alert message of an asset to be assessed; obtaining an attack depth of the alert message based on the alert message, and the attack depth being a degree to which the asset to be assessed is subjected to attack; obtaining a security feature value of the asset to be assessed; obtaining a feature weight of the security feature value based on the attack depth; and performing a risk assessment of the asset to be assessed based on the security feature value and the feature weight thereof, to obtain a risk assessment result.

Abstract: Disclosed are a method and apparatus for detecting a logic vulnerability allowing arbitrary password reset for an account, and a computer readable storage medium. The method includes: invoking a preset identification program to determine whether a request for a verification code is initiated in a to-be-detected webpage; obtaining, from a front-end page, a response packet sent in response to the request for a verification code, and determining whether there is a short message service (SMS) verification code in the response packet, on determining that a request for a verification code is initiated in the to-be-detected webpage; and; and determining that the logic vulnerability allowing arbitrary password reset for an account exists in the to-be-detected webpage, on determining that there is an SMS verification code in the response packet.

Abstract: A test method and device for simulating a customer series deployment environment, an electronic device, and a storage medium are provided. The test method for simulating a customer series deployment environment includes: obtaining traffic data of an on-site protected host; obtaining session data between the on-site protected host and a server on the basis of the traffic data, and extracting application layer data from the session data; and transmitting and receiving the application layer data in a local test environment to carry out simulation test.

Abstract: A weak password detection method and device based on deep learning, an electronic device, and a storage medium are provided. The method includes: acquiring a password character string to be detected; processing, by applying a fully trained weak password detection model, the password character string to be detected to obtain a strong/weak password classification label of the password character string to be detected, the fully trained weak password detection model being obtained by training a deep learning model with a password character string as an input and a strong/weak password classification label corresponding to the password character string as a supervision; and marking the password character string to be detected as a weak password under the condition that the strong/weak password classification label is a weak password label.

Abstract: An asset scoring method and apparatus, a computer device, and a storage medium are provided. The method includes: obtaining multi-dimensional threat information data of assets to be assessed; obtaining sub-scores of dimensions according to the multi-dimensional threat information data and a preset security scoring model; according to the sub-scores of the dimensions, determining a security scoring result of the corresponding assets to be assessed; and according to the security scoring result and a preset level division rule, determining security levels of the corresponding assets to be assessed.

Abstract: A network traffic anomaly detection method and apparatus, and an electronic apparatus and a storage medium are provided. The network traffic anomaly detection method includes: acquiring multiple segments of traffic data in different monitoring states; acquiring an anomaly feature vector from the multiple segments of traffic data; training an initial classification model according to the anomaly feature vector and on the basis of a KNN algorithm, so as to obtain multiple initial classifiers; training an initial Adaboost classification model according to the anomaly feature vector and the multiple initial classifiers and on the basis of an Adaboost algorithm, so as to obtain an Adaboost classifier; and classifying collected traffic data via the Adaboost classifier.

Abstract: Disclosed are a method and a system for automatically detecting and reconstructing spectrum peaks in near infrared spectrum analysis of tea, including the following steps: firstly collecting initial spectrum data, then initializing parameters, then calculating the position and width of absorption peaks, then updating correlation coefficients and screening sparse blocks, then calculating the cost function and the expectation, then determining termination conditions, and finally outputting reconstruction data.

Abstract: A wide-angle lens assembly includes a first lens group with negative refractive power, a second lens group with negative refractive power, a third lens group with positive refractive power, a fourth lens group with positive refractive power and a fifth lens group with positive refractive power. The first lens group includes a first lens, the second lens group includes a second lens, and the third lens group includes a third lens. The wide-angle lens assembly satisfies: 0.5<|fLG4/fLG5|<1.8, where fLG4 is an effective focal length of the fourth lens group, and fLG5 is an effective focal length of the fifth lens group.

Abstract: Disclosed is a method for extracting net signal of near infrared spectrum and a system thereof, and relates to the technical field of near infrared spectrum. The method comprises the following steps: collecting a sample to obtain the original data of the near infrared spectrum of the sample; detecting the content of the analyte of interest by using a chemical detection method as a response variable; applying different spectral pre-processing methods and the combination of different spectral pre-processing methods to the original spectral data, and the optimal pre-processing scheme is found by using the ten-fold cross test, and selecting the wave band related to the response variables by using a Least Absolute Shrinkage and Selection Operator (LASSO) algorithm.

Abstract: The present disclosure relates to the field of ecological restoration of a coal gangue hill, and in particular, to a solid waste-based porous material, a method for preparing the solid waste-based porous material, and a method of ecological restoration of the coal gangue hill by applying the solid waste-based porous material. A coal-based solid waste restoration material and mycorrhizal solid bacterial agent are mixed to restore the coal gangue hill, the coal-based solid waste restoration material is prepared by mixing coal-based solid waste porous materials, low-rank coal, and waste organic matter and adding a microbial quickly decomposition agent for aerobic fermentation and standing.

Abstract: A method of image conversion includes selecting a set of pixels from a source image, storing the set of pixels in a memory, determining whether the set of pixels includes at least one pixel requiring coordinate conversion by querying a predetermined mapping table, if the set of pixels includes the at least one pixel requiring coordinate conversion, converting the coordinates of the at least one pixel, and after converting the coordinates of the at least one pixel, removing the set of pixels from the memory.