Abstract: A method of image reconstruction for a cross-modal communication system is disclosed. The method reconstructs a damaged, lost, or delayed image signal during transmission by using complete haptic signals received by a receiving end in the cross-modal communication system, and further constructs a cross-modal interaction network with reference to an attention mechanism, thus solving the limitation of the conventional generation model that it can only be trained on paired samples. An image reconstruction device for a cross-modal communication system is also disclosed. By fully utilizing semantic correlation between different-modality data and realizing cross-modal generation from haptic signals to image signals for unpaired data, the present invention overcomes the difficulty in acquiring haptic-image signal pairs in the practical cross-modal communication system, and significantly improves the quality and class accuracy of generated image signals.

Abstract: The present invention discloses a method for starting a single-stage system for nitrogen removal coupling partial denitrification and anammox. The two nitrogen removal processes are coupled by gradually enriching denitrifying bacteria in anammox granular sludge and then activating the partial denitrification process of the functional bacteria (denitrifying bacteria). Particularly, the method comprises: inoculating anammox granular sludge in a single-stage reactor, adding an organic carbon source in gradients to enrich denitrifying bacteria and to adapt anammox bacteria, and replacing nitrites in feed with nitrates gradually to activate the partial denitrification process.

Abstract: A method for suppressing coherent and polarization-induced fading by simultaneous monitoring of loss and vibration is provided. By using merely common single-mode sensing fibers, the polarization diversity-based measurement method solves the conflict between ?-OTDR and COTDR in terms of polarization state. In addition, the method not only achieves a better coherent fading noise suppression effect but also enhances the capability of recognizing small loss events in the monitoring of loss parameters. Meanwhile, the method can suppress the influence of coherent fading on the phase demodulation of ?-OTDR and reconstruct a vibration signal with high fidelity in the monitoring of perturbation parameters, which can effectively reduce the error rate of external perturbation warning.

Abstract: A method and a device for measuring a four-dimensional (4D) radiation pattern of an outdoor antenna based on an unmanned aerial vehicle (UAV) are provided. The device includes a measurement path planning unit, a UAV platform unit, a radiation signal acquisition unit, a data command processing unit, and a ground data processing unit. The measurement path planning unit, the radiation signal acquisition unit, and the data command processing unit each are suspended from the UAV platform unit by using a pod. The present disclosure applies to the radiation pattern measurement of an outdoor antenna.

Abstract: Disclosed is a malfunction early-warning method for production logistics delivery equipment. After a sensor obtains past signal data, performing feature extraction and dimensionality reduction so as to obtain a feature vector; using a growing neural gas (GNG) algorithm to divide normal state data into different operation situations so as to obtain several cluster centers, and calculating the Euclidean distance between the feature vector and the cluster centers obtained from current operation data, so as to obtain a similarity trend; constructing a past memory matrix, using an improved particle swarm algorithm to optimize an LS-SVM regression model parameter, and calculating the residual value of the current state. Finally, combining the residual value and the similarity trend to obtain a risk coefficient, assessing the equipment state, and issuing an early warning for an equipment malfunction.

Abstract: A high-gain and low-RCS (radar cross section) broadband circularly polarized metasurface antenna based on a novel sequential-rotation feeding network includes three layers of dielectric substrates and five metal layers as well as three resistors, which are from top to bottom: a first metal layer, a first dielectric substrate, a second metal layer, a second dielectric substrate, a third metal layer, a fourth metal layer, a third dielectric substrate and a fifth metal layer. The first three metal layers are all metasurface arrays composed of 10*10 metal patches; the fourth metal layer and the third metal layer define a resonant cavity by means of a distance therebetween; the fourth metal layer is provided with four slits having rotational symmetry; and the fifth metal layer is a hybrid feeding network composed of microstrip lines and including three equal power dividers and three resistors.

Abstract: A chiral cell includes a cell structure. The cell structure includes an upper ring, a middle ring, a lower ring, upper connecting rods, and lower connecting rods. The upper ring and the lower ring have the same geometrical shape, and the middle ring is located between the upper ring and the lower ring. A plurality of upper connecting rods is provided; the two ends of each upper connecting rod are respectively correspondingly connected to the upper ring and the middle ring and the upper connecting rods are obliquely and uniformly distributed between the upper ring and the middle ring; a plurality of lower connecting rods is provided; the two ends of each lower connecting rod are respectively correspondingly connected to the lower ring and the middle ring and the lower connecting rods are obliquely and uniformly distributed between the lower ring and the middle ring.

Abstract: A method for detecting comprehensive GPU-related factors of a distributed cluster, the method including: (1): checking whether there is a configuration file content of an operating node; (2): reading a mode parameter in an environment variable of the operating node, and correspondingly switching an operating mode according to the mode parameter; (3): reading a timer frequency value from the environment variable of the operating node so as to set a time period for reading a GPU information parameter according to the timer frequency value; (4): calculating the maximum value of the GPU information parameter of the operating node, and storing the maximum value into the GPU information list cache; and (5): initializing the transmitted information; determining whether there is a GPU in the GPU information list cache of the operating node.

Abstract: It discloses a hypergravity experimental apparatus and experimental method for interaction between brittle deformation and ductile deformation. The experimental apparatus comprises an experiment module, a control device and a drive device; the drive device comprises a centrifuge for generating a hypergravity environment and a hydraulic press for generating extensional/compressional force in an experiment box; the control device comprises a control terminal, a control cabinet and a hydraulic control station for controlling the operation of the drive device; the experiment module is provided with an experiment box and a transmission device therein, and the transmission device converts a vertical lifting force generated by a hydraulic cylinder controlled by the hydraulic press in the drive device into a horizontal pushing-pulling force.

Abstract: The disclosure is a three-dimensional towered checkerboard for multi-sensor calibration, and a LiDAR and camera joint calibration method based on the checkerboard.

Abstract: A precision compensation mechanism of a full-automatic bidirectional flanging machine comprises an upper die X-direction fine adjustment assembly, an upper die Y-direction fine adjustment assembly, a lower die X-direction fine adjustment assembly and a lower die Y-direction fine adjustment assembly, wherein the fine adjustment assemblies each comprise N adjusting threaded sleeves, N adjusting screws and a threaded sleeve rotation driving device; wherein the N adjusting threaded sleeves are threaded into an upper opening or a lower opening of a C-shaped flanging beam along the length direction of an upper die or a lower die; the outer wall surfaces of the N adjusting threaded sleeves are threaded into the upper opening or the lower opening of the C-shaped flanging beam to form N screw thread pairs I with the thread pitch of P1.

Abstract: A Micro-LED array device based on III-nitride semiconductors and a method for fabricating the same are provided. The Micro-LED array device includes arrayed sector mesa structures that are formed by etching to penetrate through a p-type GaN layer and a quantum-well active layer and deep into an n-type GaN layer, a p-type electrode array deposited by evaporation on the p-type GaN layer of sector arrays, and an n-type electrode array deposited by evaporation on the n-type GaN layer. The n-type electrode array forms blocking walls to isolate the sector mesas from one another. The blocking walls, and each of the blocking walls and the annular structure surrounding the sector mesa are connected to each other.

Abstract: The present disclosure relates to a weakly supervised video activity detection method and system based on iterative learning. The method includes: extracting spatial-temporal features of a video that contains actions; constructing a neural network model group; training a first neural network model according to the class label of the video, a class activation sequence output by the first neural network model, and a video feature output by the first neural network model; training the next neural network model according to the class label of the video, a pseudo temporal label output by the current neural network model, a class activation sequence output by the next neural network model, and a video feature output by the next neural network model; and performing action detection on the test video according to the neural network model corresponding to the highest detection accuracy value.

Abstract: A multipath suppression method based on a steepest descent method includes stripping, according to carrier Doppler shift information fed back by a phase-locked loop, a carrier from an intermediate-frequency signal input into a tracking loop; constructing, on the basis of the autocorrelation characteristics of a ranging code, a quadratic cost function related to a measurement deviation of the ranging code, the cost function being not affected by a multipath signal; and finally, designing a new tracking loop of the ranging code according to the quadratic cost function and the principle of the steepest descent method, such that the loop has a multipath suppression function without increasing the computational burden. Compared with a narrow-distance correlation method, the current method reduces computing resources by ?, the design and adjustment of parameters are simple and feasible, a multipath suppression effect is superior, and a high engineering application value is obtained.

Abstract: The present disclosure discloses a multi-task joint computing unloading and resource allocation method based on D2D (Device-to-Device) communication. For solving the problems that computing resources of a local terminal cannot complete all computing tasks on time when there are multiple computing tasks with delay requirements on a local terminal, the method introduces a computing unloading mechanism to reduce the delay and the overhead of the local terminal itself. The method is based on a D2D communication technology. In the scenario where mobile terminals are densely distributed, the local terminal can unload the computing tasks at the same time to several surrounding idle terminals for processing. According to the method, a total overhead objective function is established in consideration of the task delay, energy consumption, and unloading fee.

Abstract: A computer-implemented clustering method is disclosed for image segmentation, social network analysis, computational biology, market research, search engine and other applications. At the heart of the method is a point-set kernel that measures the similarity between a data point and a set of data points. The method has a procedure that employs the point-set kernel to expand from a seed point to a cluster; and finally identifies all clusters in the given dataset. Applying the method for image segmentation, it identifies several segments in the image, where points in each segment have high similarity: but points in one segment have low similarity with respect to other segments. The method is both effective and efficient that enables it to deal with large scale datasets. In contrast, existing clustering methods are either efficient or effective; and even efficient ones have difficulty dealing with large scale datasets without massive parallelization.

Abstract: The present invention provides A magnesium oxide whisker in-situ formed MA spinel-reinforced magnesium oxide-based ceramic foam filter and a method for preparing the same. The method comprising: 1) preparing a ceramic slurry having a solid content of 60%-70% by dosing 15%-25% by mass of a nanometer alumina sol, 0.8%-1.5% by mass of a rheological agent, and the balance magnesium oxide ceramic powder comprising magnesium oxide whiskers, and then adding deionized water and ball milling to mix until uniform, and then vacuum degassing the mixture; 2) soaking a polyurethane foam template into the ceramic slurry, squeezing by a roller press the polyurethane foam template to remove redundant slurry therein to make a biscuit, and drying the biscuit by heating it to 80° C.-1200° C.; 3) putting the dried biscuit into a sintering furnace, elevating the temperature to 1400° C.-1600° C.

Abstract: A method for identifying and analyzing dissolved organic nitrogen of different sources in wastewater includes extracting DON in wastewater to obtain a DON extract, detecting mass spectrum peaks in the DON extract, pre-processing the spectral data of the wastewater sample; constructing a network relationship of the substance reaction in the wastewater sample; screening the substance reaction relationship of DON; and determining different sources of DON.

Abstract: The present disclosure discloses a multiscale point cloud classification method. The method includes the following steps: acquiring 3D unordered point cloud data; performing feature extraction and classification on the acquired point cloud data using a pre-trained parallel classification network to obtain an output result, wherein the parallel classification network includes a plurality of basic networks with the same structures; and fusing the output results of the parallel network using a pre-trained deep Q network to obtain a final result of point cloud classification. The present disclosure can improve the accuracy and robustness of point cloud classification.

Abstract: The present invention provides a nanopore single-molecule protein sequencer, which mainly includes a nanopore array chip system, an ultra-low current detection system and a data processing and construction system; the chip mainly includes a chip of peptide charge screening, a chip of amino acid sequence reading based on a series of specific nanopores and the like, the design principle of which is as follows: a series of biological nanopores with amino acid targeted identification are designed according to properties such as hydrophilicity and hydrophobicity, polarity, and chargeability of amino acids, and characteristic ion flow signals of amino acids forming a protein to be detected in nanopore are obtained one by one; characteristic information of a protein sequence in each of the nanopores is acquired by an arrayed ultra-low current measurement system; a standard model peptide sequence information base is used for identifying, correcting, integrating and reading amino acid sequences.