Abstract: A smart device input method based on facial vibration includes: collecting a facial vibration signal generated when a user performs voice input; extracting a Mel-frequency cepstral coefficient from the facial vibration signal; and taking the Mel-frequency cepstral coefficient as an observation sequence to obtain text input corresponding to the facial vibration signal by using a trained hidden Markov model. The facial vibration signal is collected by a vibration sensor arranged on glasses. The vibration signal is processed by: amplifying the collected facial vibration signal; transmitting the amplified facial vibration signal to the smart device via a wireless module; and intercepting a section from the received facial vibration signal as an effective portion and extracting the Mel-frequency cepstral coefficient from the effective portion by the smart device.

Abstract: A shear control instrument under a three-dimensional space condition and a control method of the shear control instrument can include a loading system, a transposition system and a control monitoring system. The loading system is used for loading a soil body sample. The transposition system is connected with the loading system in an anchoring manner and is used for adjusting the direction of the loading system. The control monitoring system is connected with the transposition system in an anchoring manner and is used for controlling the transposition system and monitoring test data.

Abstract: A method, computer device, and storage medium for exploring and collecting scene reconstruction data. The method includes: capturing a scene image; performing real-time environment perception on the scene image to detect object to be reconstructed in the scene image and reconstructing three-dimensional representation data of the object to be reconstructed; determining a reconstruction target in the object to be reconstructed based on the three-dimensional representation data of the object to be reconstructed and a preset distance threshold; generating an exploration path according to a preset exploration path planning algorithm and exploring an area to be reconstructed according to the exploration path; and collecting reconstruction data of the reconstruction target according to the preset exploration path planning algorithm when the reconstruction target is reached.

Abstract: An optimization method for UAV-based wireless information and energy transmission includes following steps: S1: reporting, by a wireless device, an energy state of the wireless device to a UAV; S2: detecting, by the UAV, a channel state between the UAV and the wireless device; and S3: selecting, by the UAV, an optimal action based on estimated revenue maximization according to an electric quantity of the UAV, an electric quantity of the wireless device, and the channel state. The use of the wireless device can reduce wiring costs, beautify the space, and ensure a smaller size and a lower power. By applying the UAV to information and energy transmission for the wireless devices, the data transmission rate and the energy conversion efficiency of networks are improved.

Abstract: The present disclosure provides an antibacterial hydrophilic compound. The antibacterial hydrophilic compound may react, induced by light through a hydrogen abstraction group in the structural formula thereof, with a C—H group and thus bind to a surface of a material having the C—H group (for example, chemical fibers such as polyester, chinlon, and the like; plastics, rubbers, and other similar materials), which can impart a durable antibacterial activity and hydrophilicity to the material. The antibacterial hydrophilic compound has a relatively strong binding force to the surface of the material without damaging the mechanical properties of the raw material. The present disclosure also provides a modified material that is modified by the antibacterial hydrophilic compound.

Abstract: The present application discloses a massive MIMO wireless energy transmission method based on dynamic frame transmission. The method comprises the following steps: controlling, by a base station, each antenna to transmit a pilot signal to a user end in a time-sharing mode by using set time-sharing pilot frames; acquiring, by the user end, downlink channel state information from the antennae of the base station to the user end and feeding the downlink channel state information back to the base station; and calculating, by the base station, a precoding matrix based on the downlink channel state information, mapping data from a user layer to an antenna port by using the newly calculated precoding matrix, and performing beam forming calculation with maximization of an energy signal of the user end as a goal.

Abstract: A method and a device for 3D shape matching based on a local reference frame are proposed. After acquiring a 3D point cloud and feature points in the method, the feature point set is projected to a plane, and feature transformation is performed on the projected points by using at least one factor from the distances between the 3D points and the feature points, the distances between the 3D points and the projected points, and the average distances between the 3D points and its 1-ring neighboring points to acquire a point distribution with a larger variance in a certain direction than the projected point set, and the local reference frame is determined based on the transformed point distribution. The 3D local feature descriptor established based on this local reference frame can encode the 3D local surface information more robustly, so as to obtain a better 3D shape matching effect.

Abstract: The present application provides a novel series of small molecular immune agonists of Toll-like receptor 7, having a structure represented by Formula I. The present application further provides use of the immune agonist for activating and amplifying immune cells and lymphocytes, and for preparing an immunomodulatory drug, an immune anti-tumor small molecule drug, and an immune anti-tumor macromolecular drug.

Abstract: A construction monitoring method and system for a V-shaped column in an underground foundation pit, a terminal and a storage medium can include the following steps: acquiring different stress-related data at a plurality of preset positions of stand columns in real time; and analyzing and judging whether the change rate of the stress-related data exceeds a preset change rate range or not or whether the stress-related data exceeds a preset stress-related data range or not.

Abstract: A micro- and nano-hot embossing method for an optical glass lens array, including: preparing a mold with a micro-hole array by micro EDM, where the micro-hole array matches an optical glass lens array and the mold is made of a hard metal material which is conductive and meets strength and temperature requirements; preparing a nano nitride-based graded composite coating on a surface of the mold by magnetron sputtering; and pre-fabricating a glass preform and then placing the glass preform on the surface of the mold; heating the glass preform and hot embossing by a glass molding machine in vacuum; cooling in nitrogen atmosphere; and demolding to produce the optical glass lens array. The micro- and nano-hot embossing method of the present invention improves the surface quality of the optical glass lens array and reduces the cost and difficulty for manufacturing.

Abstract: The invention provides a method, apparatus, device and storage medium for predicting a protein binding site. The method comprises the steps of: receiving a protein sequence to be predicted, dividing the protein sequence by using a preset sliding window and sliding step to obtain a plurality of amino acid sub-sequences, building word vectors for the protein sequence according to the amino acid sub-sequences, extracting document features from word elements, building document feature vectors for the protein sequence according to the extracted document features, extracting protein chain biological features from the amino acid sub-sequences, building biological feature vectors for the protein sequence according to the extracted biological features, classifying the amino acid sub-sequences expressed with the document feature vectors and the biological feature vectors by using a preset amino acid residue classification model to obtain amino acid residue types for the protein sequence.

Abstract: A method for generating a robot exploration path includes: establishing a point cloud scene according to single-frame point cloud data collected by a robot, the point cloud scene includes a plurality of data points; classifying and marking each of the data points, the classification mark includes a ground point and an obstacle point, and taking the data points marked as ground points as a ground point cloud; generating a confidence map according to the ground point cloud, the confidence map is configured to display a location and a confidence of each of the ground points in the ground point cloud; generating a plurality of access nodes according to the confidence map; and generating an exploration path according to the access nodes.

Abstract: Disclosed is a cross-view image optimizing method and apparatus, and a computer equipment and a readable storage medium.

Abstract: A method and a system for recognizing a two-dimensional (2D) movement track based on a smart watch is provided. The method comprises: acquiring accelerometer signal data and gyroscope signal data of the smart watch; estimating a tilt angle of the smart watch by using the accelerometer signal data and correcting the gyroscope signal data by using the tilt angle; and calculating angle value information of the smart watch by using the corrected gyroscope signal data and estimating a coordinate point. According to the present application, the movement track of the smart watch can be accurately estimated by using the accelerometer and the gyroscope built in the smart watch.

Abstract: A fruit and vegetable picking method and device based on machine vision and storage medium that includes: acquiring fruit image of fruit or vegetable to be picked currently, calling pre-trained neural network model to identify fruit image, and determining type of fruit or vegetable; acquiring type of fruit or vegetable, and determining cuttable area on stalk of fruit or vegetable according to type of fruit or vegetable, locating cutting point; controlling end picking apparatus to cut off stalk of fruit or vegetable, according to cutting point being determined. By using pre-trained neural network model to detect fruit and cut stalk for picking, one device may be able to pick multiple fruits and vegetables, have high versatility and picking accuracy, avoid hurting pulp, and have improved harvest efficiency and quality of fruits and vegetables picked.

Abstract: Provided are an image fusion classification method and device. The method includes that: a three-dimensional weight matrix of a hyperspectral image is obtained by use of a Support Vector Machine (SVM) classifier (101); superpixel segmentation is performed on the hyperspectral image to obtain K superpixel images, K being a positive integer (102); the three-dimensional weight matrix is regularized by use of a superpixel-image-based segmentation method to obtain a regular matrix (103); and a class that a sample belongs to is determined according to the regular matrix (104).

Abstract: Disclosed is a coating made of an organic material on a mold for glass molding. The coating comprises CrxWyN(1-x-y), where 0.15<x<0.4, and 0.2?y?0.45. The coating has excellent high temperature resistance and anti-adhesion properties, thus being a promising coating material for molds.

Abstract: A 3D shape matching method and a 3D shape matching device based on 3D local feature description using SGHs are provided. In the method, the spherical neighborhood of the feature point is not only divided based on space but also divided based on geometry, the spherical neighborhood of the feature point is not only divided based on the radial direction and the azimuth respectively but also divided based on the elevation, and the spherical neighborhood of the feature point is not only divided based on the deviation angle deviating from the z axis but also divided based on the deviation angle deviating from the x axis. When the deviation angle deviating from the z axis of the spherical neighborhood is divided, the deviation angle is divided more densely where it is closer to the positive direction of the z axis.

Abstract: A method, a device, a computer device and a storage medium for a real-time urban scene reconstruction are provided. The method comprises: obtaining a target image frame and an adjacent image frame corresponding to a target urban scene; locating a position of an object in the target image frame according to the target image frame and the adjacent image frame and obtaining an object point cloud, an object image and a coordinate transformation matrix corresponding to a target object; determining a global characteristic of the target object and parameters of surfaces to be selected of the target object which is configured to determine a characteristic of the surface to be selected; determining a plane combination matrix of the target object; reconstructing a three-dimensional scene model of the target urban scene according to the plane combination matrix, the parameters of the surfaces to be selected and the coordinate transformation matrix.

Abstract: A vibration-based authentication method for an access control system includes: collecting vibration signals generated by a built-in vibration motor in an authentication device; filtering, denoising, and performing endpoint segmentation on the collected vibration signals, and extracting vibration signals containing effective touch; performing an alignment on the segmented vibration signals; performing a fast Fourier transform on the aligned vibration signals to obtain frequency-domain data, extracting frequency-domain features obtained after alignment and features obtained before alignment to construct a training data set, and storing the training data set in a database of the authentication device; using a new unlock signal generated when a user touches the authentication device as test data, and processing the test data to obtain test data containing effective touch; and matching and classifying the test data containing effective touch with the training data set by using a machine learning classification mod