Abstract: Discloses a combined ultra-wideband cross-polarized chipless RFID tag based on MFCC feature coding, which comprises a tag patch unit, a dielectric substrate and a grounding layer, wherein the tag patch unit comprises a barcode-type resonant unit and a double L-type resonant unit; the barcode-type resonant unit consists of five identical rectangular patches arranged in parallel and rotated counterclockwise; the double L-type resonant unit is formed by reversely combining two L-type patches composed of four identical rectangular patches; a transmitting antenna transmits horizontally polarized electromagnetic waves as interrogation signals, the scattered waves reflected by the tag are acquired by a receiving antenna, a receiver acquires the spectrum of the scattered waves to convert the spectrum into time domain signals by inverse Fourier transform, the response of the tag is extracted through a window, and MFCC features are extracted by pre-emphasis and short-time Fourier transform.

Abstract: Disclosed is a spatial spectrum estimation method with enhanced degree-of-freedom based on block sampling tensor construction for coprime planar array, which mainly solves the multi-dimensional information loss in signals and degree-of-freedom limitation in the existing methods and which is implemented by the following steps: constructing a coprime planar array; modeling block sampling tensors of the coprime planar array; deducing coarray statistics based on the block sampling cross-correlation tensor; obtaining block sampling coarray signals of a virtual uniform array; constructing a three-dimensional block sampling coarray tensor and its fourth-order auto-correlation statistics; constructing signal and noise subspaces based on fourth-order auto-correlation tensor decomposition; estimating a tensor spatial spectrum with enhanced degrees-of-freedom.

Abstract: The present invention provides a method for predicting remaining useful life of bearings based on a gated recurrent neural network, comprising the following steps: S1. obtaining full life cycle vibration signals of bearings, extracting the vibration distribution features and creating a training set of gated recurrent neural network; S2. constructing a gated recurrent neural network model, and introducing an attention mechanism that directly calculates weights to improve the integrity of extracting temporal information; S3. adding a Bayesian layer to construct a nonlinear mapping relationship between temporal information and remaining useful life; S4. taking vibration signals of a test bearing as input, the output result of the gated recurrent neural network model is the remaining useful life of the test bearing at the current time. The present invention does not need to add additional neural network layers, which avoids the problem of increasing the complexity of the model.

Abstract: A two-dimensional direction-of-arrival estimation method for a coprime planar array based on structured coarray tensor processing, the method includes: deploying a coprime planar array; modeling a tensor of the received signals; deriving the second-order equivalent signals of an augmented virtual array based on cross-correlation tensor transformation; deploying a three-dimensional coarray tensor of the virtual array; deploying a five-dimensional coarray tensor based on a coarray tensor dimension extension strategy; forming a structured coarray tensor including three-dimensional spatial information; and achieving two-dimensional direction-of-arrival estimation through CANDECOMP/PARACFAC decomposition.

Abstract: The invention discloses a method for estimating the direction-of-arrival of a coprime array based on virtual domain statistics reconstruction of single-bit quantized signal, which mainly solves the problems of difficult realization of software and hardware, limited degree of freedom and the like in the prior art.

Abstract: In a general aspect, a target is localized based on measurements from a measurement device array. In some aspects, range difference values (di) and coordinate vectors (ai) of devices in the measurement device array are obtained. The range difference values are generated based on time difference of arrival measurements of wireless signals between the target device and each of the devices in the measurement device array. A first matrix (A) and a first vector (b) are constructed. The first matrix (A) and the first vector (b) each includes the range difference values and the coordinate vectors. Whether a second vector (y) satisfies a condition set is determined. The condition set includes a first condition (ATA+?D)y=ATb and a second condition vT (ATA+?D)v?0. A numerical approximation of an optimal solution of the second vector is generated. The target device is localized according to the numerical approximation of the optimal solution.

Abstract: Disclosed is a high-resolution accurate two-dimensional direction-of-arrival estimation method based on coarray tensor spatial spectrum searching with coprime planar array, which solves the problem of multi-dimensional signal loss and limited spatial spectrum resolution and accuracy in existing methods. The implementation steps are: constructing a coprime planar array; tensor signal modeling for the coprime planar array; deriving coarray statistics based on coprime planar array cross-correlation tensor; constructing the equivalent signals of a virtual uniform array; deriving a spatially smoothed fourth-order auto-correlation coarray tensor; realizing signal and noise subspace classification through coarray tensor feature extraction; performing high-resolution accurate two-dimensional direction-of-arrival estimation based on coarray tensor spatial spectrum searching.

Abstract: The invention discloses a method of realizing accelerated parallel Jacobi computing for an FPGA. Data of a n×n-dimensional matrix are input to the FPGA, and a rotation transformation process is carried out by using parallel Jacobi computing. Processors are initialized. A diagonal processor computes a symbol set corresponding to a rotation angle and outputs the symbol set to a non-diagonal processor. Elements of the diagonal processor are updated. Elements of the non-diagonal processor are updated. Elements between the processors are exchanged. After the elements of the respective processors are updated, the updated elements between the processors are exchanged. The invention requires less FPGA resources while yields a higher internal computational processing performance of the FPGA. Accordingly, the invention is capable of facilitating the efficiency of realizing eigenvalue decomposition in the FPGA and is highly applicable in actual processing.

Abstract: In a general aspect, a target is localized based on measurements from a measurement device array. In some aspects, range difference values (di) and coordinate vectors (ai) of devices in the measurement device array are obtained. The range difference values are generated based on time difference of arrival measurements of wireless signals between the target device and each of the devices in the measurement device array. A first matrix (A) and a first vector (b) are constructed. The first matrix (A) and the first vector (b) each includes the range difference values and the coordinate vectors. Whether a second vector (y) satisfies a condition set is determined. The condition set includes a first condition (ATA+?D)y=ATb and a second condition vT (ATA+?D)v?0. A numerical approximation of an optimal solution of the second vector is generated.

Abstract: A two-dimensional direction-of-arrival estimation method for a coprime planar array based on structured coarray tensor processing, the method includes: deploying a coprime planar array; modeling a tensor of the received signals; deriving the second-order equivalent signals of an augmented virtual array based on cross-correlation tensor transformation; deploying a three-dimensional coarray tensor of the virtual array; deploying a five-dimensional coarray tensor based on a coarray tensor dimension extension strategy; forming a structured coarray tensor including three-dimensional spatial information; and achieving two-dimensional direction-of-arrival estimation through CANDECOMP/PARACFAC decomposition.

Abstract: Disclosed is a spatial spectrum estimation method with enhanced degree-of-freedom based on block sampling tensor construction for coprime planar array, which mainly solves the multi-dimensional information loss in signals and degree-of-freedom limitation in the existing methods and which is implemented by the following steps: constructing a coprime planar array; modeling block sampling tensors of the coprime planar array; deducing coarray statistics based on the block sampling cross-correlation tensor; obtaining block sampling coarray signals of a virtual uniform array; constructing a three-dimensional block sampling coarray tensor and its fourth-order auto-correlation statistics; constructing signal and noise subspaces based on fourth-order auto-correlation tensor decomposition; estimating a tensor spatial spectrum with enhanced degrees-of-freedom.

Abstract: Disclosed is a high-resolution accurate two-dimensional direction-of-arrival estimation method based on coarray tensor spatial spectrum searching with coprime planar array, which solves the problem of multi-dimensional signal loss and limited spatial spectrum resolution and accuracy in existing methods. The implementation steps are: constructing a coprime planar array; tensor signal modeling for the coprime planar array; deriving coarray statistics based on coprime planar array cross-correlation tensor; constructing the equivalent signals of a virtual uniform array; deriving a spatially smoothed fourth-order auto-correlation coarray tensor; realizing signal and noise subspace classification through coarray tensor feature extraction; performing high-resolution accurate two-dimensional direction-of-arrival estimation based on coarray tensor spatial spectrum searching.

Abstract: A method for generating malicious samples against an industrial control system based on adversarial learning is provided. With the method, the adversarial samples for the industrial control intrusion detection system based on the machine learning method is calculated using the adversarial learning technology and the optimization algorithm. The attack sample that can be detected by the intrusion detection system before generates a corresponding new adversarial sample after being processed with this method. This adversarial sample still maintain the attack effect after evading the original intrusion detector (being identified as normal). The present disclosure effectively ensures the security of the industrial control system and prevents accidents by actively generating malicious samples against the industrial control system.

Abstract: Provided is a method of identification and compensation of an inherent deviation of a yaw error of a wind turbine based on a true power curve. The method, based on a wind turbine data acquisition and monitoring control (SCADA) system includes a wind speed, an active power, and a yaw error and so on, runs data in real-time, first pre-processes the data to a certain degree, and then divides a power curve data according to a certain yaw error interval, fits the power curves according to different yaw error intervals through a true power curve fitting flow in connection with an outlier discrimination method, further quantitatively analyzes the different power curves and determines an interval scope of the yaw error inherent deviation value based on an interval determination criterion, and finally compensates the identified inherent deviation value to a yaw error measurement value.

Abstract: A method for locating the source of a passive intermodulation (PIM) fault in a radio frequency (RF) system, the method comprising: a) generating a PIM fault fingerprint database by: modelling an RF network; defining a plurality of PIM fault patterns for the modelled RF network by defining PIM faults at one or more sources; simulating a received RF signal for each respective PIM fault pattern; generating the PIM fault fingerprint database in dependence on the simulated received RF signals for each defined PIM fault pattern; b) measuring an RF signal for a real network having a PIM fault and abstracting the measured RF signal to define a given signal; c) searching and matching the given signal using the fingerprint database to determine the PIM fault pattern; and d) locating the source of the PIM fault, or giving a further measuring guideline in dependence on the determined PIM fault pattern.

Abstract: A method for locating the source of a passive intermodulation (PIM) fault in a radio frequency (RF) system, the method comprising: a) generating a PIM fault fingerprint database by: modelling an RF network; defining a plurality of PIM fault patterns for the modelled RF network by defining PIM faults at one or more sources; simulating a received RF signal for each respective PIM fault pattern; generating the PIM fault fingerprint database in dependence on the simulated received RF signals for each defined PIM fault pattern; b) measuring an RF signal for a real network having a PIM fault and abstracting the measured RF signal to define a given signal; c) searching and matching the given signal using the fingerprint database to determine the PIM fault pattern; and d) locating the source of the PIM fault, or giving a further measuring guideline in dependence on the determined PIM fault pattern.

Abstract: A method for determining the position of a mobile or asset in an indoor location in a radio frequency system, the method comprising: a) generating a Wi-Fi multi-band fingerprint database using at least one multi-band Wi-Fi access point configured to simultaneously transmit multiple frequency band wireless signals; b) selecting a most probable frequency band having the highest probability function for a target location of the mobile or asset given one or more measured signals; c) selecting one or more fingerprints from the Wi-Fi multi-band fingerprint database in dependence on the selected frequency band and selecting a measured signal that is needed to determine the location in dependence on the said most probable frequency band for each Wi-Fi access point; and d) comparing the selected measured signal and the selected one or more fingerprints to determine the location of the measured signal in dependence on a location estimation algorithm.

Abstract: A semipermeable element for the penetration of 3D printing curing inhibitors. The semipermeable element has a pore density of 107-1011/cm2, and/or the pore diameter of 0.01 ?m-5 ?m. A usage of a semipermeable element, and manufacturing method thereof as well as a 3D printing apparatus. The semipermeable element has good permeability to the curing inhibitor, and simply introducing air can achieve the thickness of inhibited curing layer as required by the continuous manufacturing of the three-dimensional objects.

Abstract: The present invention provides a novel adaptive power configuration method and corresponding base stations in a Het Net. According to the present invention, some specific subframes of a serving base station are scheduled to serve victim UEs, while the corresponding subframes of an aggressor base station can be scheduled to serve its UEs with adaptively adjusting the transmit power instead of thoroughly muting. This adaptive power configuration scheme can efficiently reduce the interference in Het Nets to guarantee the workability of victim UEs, meanwhile more capacity performance gain can be achieved with backward compatibility to legacy UEs.

Abstract: A method includes: sending, by a user equipment (UE), uplink test signaling to transceivers for serving the UE, so that the transceivers calculate receive power of the uplink test signaling by testing the uplink test signaling; receiving, by the UE, the receive power of the uplink test signaling and transmit power of a common reference signal (CRS) from the transceivers; receiving and testing, by the UE, the CRS sent by the transceivers to obtain receive power of the CRS; calculating, by the UE, uplink path losses on paths between the UE and the transceivers according to the receive power of the uplink test signaling, the transmit power of the CRS, and the receive power of the CRS; calculating, by the UE, an aggregate path loss according to the uplink path losses on paths between the UE and the transceivers; and calculating, by the UE, uplink transmit power according to the aggregate path loss.