Abstract

A carrier reconstruction method to eliminate DC and low-frequency circulating currents in multi-parallel converters is disclosed, addressing the issue of DC and low-frequency circulating currents introduced by traditional carrier phase shift methods. By alternately setting complementary initial phase angles of carriers, this reconstruction method achieves balanced and symmetrical carriers within two periods, thereby eliminating the DC and low-frequency circulating currents caused by asymmetric carriers. The reconstructed carrier method provides a universal solution. It can solve all DC and low-frequency circulating currents issues based on traditional phase-shift carrier modulation strategies. Additionally, the carrier reconstruction method prevents core saturation in common mode inductors or coupled inductors, simplifying the design complexity of these inductors. This disclosure not only reduces inductor size and improves inductor efficiency but also enhances the overall performance of multi-parallel converters.

IPC Classes  ?

• H02M 1/00 - Details of apparatus for conversion
• H02M 7/537 - Conversion of DC power input into AC power output without possibility of reversal by static converters using discharge tubes with control electrode or semiconductor devices with control electrode using devices of a triode or transistor type requiring continuous application of a control signal using semiconductor devices only, e.g. single switched pulse inverters

Abstract

Disclosed is an industrial question answering model training method based on reinforcement learning and knowledge base matching, comprising the following steps: S1, collecting professional knowledge questions and answers in an industrial field to construct an industrial knowledge base, training a reward model, carrying out, for industrial knowledge questions and answers, matching comparison on outputs of an industrial question answering model and content of the industrial knowledge base, and obtaining reward values on the basis of similarities; S2, sorting the reward values, and using a sorting loss function to train and update parameters of a reward model network; and S3, carrying out industrial question answering model training, incorporating a penalty term for the reward values, and using a reinforcement learning algorithm to train the industrial question answering model multiple times to obtain an optimal strategy. According to the industrial question answering model training method based on reinforcement learning and knowledge base matching of the present invention, the reinforcement learning algorithm is used, and iterative training is carried out multiple times, thereby helping the industrial question answering model to learn and understand industrial professional knowledge and improving the question answering accuracy of the industrial question answering model.

IPC Classes  ?

• G06F 16/332 - Query formulation
• G06F 16/36 - Creation of semantic tools, e.g. ontology or thesauri
• G06F 40/194 - Calculation of difference between files
• G06F 40/30 - Semantic analysis
• G06F 18/214 - Generating training patternsBootstrap methods, e.g. bagging or boosting
• G06N 5/022 - Knowledge engineeringKnowledge acquisition

Abstract

The present disclosure discloses a method for training an industrial question-answering model based on reinforcement learning and knowledge base matching, comprising: S1, training a reward model, and for an industrial knowledge question-answering, matching and comparing an output of an industrial question-answering model with a content of an industrial knowledge base, and generating a reward value based on a similarity between the output of the industrial question-answering model and the content of the industrial knowledge base; S2, ranking a plurality of reward values corresponding to a plurality of outputs of the industrial question-answering model and training and updating network parameters of the reward model based on a ranking loss function; and S3, training the industrial question-answering model, adding the plurality of reward values to a penalty term, and obtaining an optimal policy after performing a plurality of times of reinforcement learning on the industrial question-answering model using a reinforcement learning algorithm.

IPC Classes  ?

• G06N 3/092 - Reinforcement learning
• G06N 5/04 - Inference or reasoning models

Abstract

A preparation method for a heat-resistant energetic material PTO is provided, where PTO is synthesized by a one-step reaction with commercial 1H-pyrazolo[3,4-d]pyrimidin-4-amine as raw material under the reaction of fuming HNO3 and concentrated H2SO4, and the yield is up to 75%. The preparation method is 3 steps shorter than the existing technical route, the reaction time is greatly reduced, the reaction conditions are relatively mild, the process is simpler, and it is easy to scale up in engineering.

IPC Classes  ?

• C07D 487/04 - Ortho-condensed systems

Abstract

The present disclosure provides a three-phase multi-parallel converter adaptive fault-tolerant topological structure based on a redundant unit. A redundant module of each phase is connected to a parallel branch by means of a redundant diode; during normal operation, the redundant module is always in an off state and is not connected to the parallel branch; when an IGBT or a diode in a parallel bridge arm has an open-circuit fault, the redundant module is automatically connected to the parallel branch by means of the redundant diode to replace a fault element of the parallel bridge arm, such that a multi-parallel converter works normally. The solution does not need an additional control circuit, for a variety of fault types, can achieve adaptive reconstruction of hardware resources on the basis of actual reliability requirements by flexibly configuring the diode and the redundant unit, and achieves fault-tolerant operation of the topological structure after a fault by means of a fault-tolerant control algorithm.

IPC Classes  ?

• H02M 1/32 - Means for protecting converters other than by automatic disconnection
• H02M 1/00 - Details of apparatus for conversion
• H02M 7/5387 - Conversion of DC power input into AC power output without possibility of reversal by static converters using discharge tubes with control electrode or semiconductor devices with control electrode using devices of a triode or transistor type requiring continuous application of a control signal using semiconductor devices only, e.g. single switched pulse inverters in a bridge configuration

Abstract

The present disclosure discloses a method for designing a terminal guidance law based on deep reinforcement learning, and relates to the field of missile and rocket guidance. The method includes: establishing a relative kinematics equation between a missile and a target in a longitudinal plane of a target interception terminal guidance section of the missile; to adapt to a research paradigm of reinforcement learning, abstracting a research problem and modeling as a Markov decision process; building an algorithm network, and setting algorithm parameters, where a selected deep reinforcement learning algorithm is a deep Q-network (DQN); in a terminal guidance process of each round, obtaining a sufficient number of training samples through Q-learning, training a neural network and updating a target network at fixed frequencies respectively, and continuously repeating the above process before set learning rounds are reached.

IPC Classes  ?

• F42B 15/01 - Arrangements thereon for guidance or control
• G06N 3/084 - Backpropagation, e.g. using gradient descent
• G06N 3/092 - Reinforcement learning

Abstract

The embodiments of the present application provide a target detection device and method, the target detection device comprises: a signal source, a signal transmission module, a signal output module, a bearing portion and a processing module, the signal transmission module is supplied with a step excitation waveform current, the signal transmission module is induced and generates a first magnetic field, a target to be detected is induced and generates a second magnetic field in the first magnetic field, when the signal source is turned off, the signal output module outputs a voltage signal comprising an oscillating voltage signal for detection in a geomagnetic anomaly detection mode and an attenuated voltage signal for detection in an electromagnetic induction time domain detection mode; the processing module is connected to the signal output module, and is used to process the voltage signal and detect the target based on the first signal feature.

IPC Classes  ?

• G01V 3/10 - Electric or magnetic prospecting or detectingMeasuring magnetic field characteristics of the earth, e.g. declination or deviation operating with magnetic or electric fields produced or modified by objects or geological structures or by detecting devices using induction coils

Abstract

A target object detection apparatus (10), comprising a signal source (101), a signal transmission module (102), a signal output module (103), a bearing portion (104) and a processing module (105), wherein the signal transmission module (102) introduces a step excitation waveform current; the signal transmission module (102) induces and generates a first magnetic field; a target object to be detected induces and generates a second magnetic field in the first magnetic field; when the signal source (101) is turned off, the signal output module (103) outputs voltage signals, the voltage signals comprising an oscillating voltage signal during damped vibration at an inherent frequency under the driving of a first magnetic field step change, and a decaying voltage signal affected by the second magnetic field after the vibration ends, the oscillating voltage signal being used for detection of a geomagnetic anomaly detection mode, and the decaying voltage signal being used for detection of an electromagnetic induction time domain detection mode; and the processing module (105) is connected to the signal output module (103), and is used for processing the voltage signals to obtain a first signal feature and detecting the target object on the basis of the first signal feature. The present invention further relates to a target object detection method.

IPC Classes  ?

• G01V 3/08 - Electric or magnetic prospecting or detectingMeasuring magnetic field characteristics of the earth, e.g. declination or deviation operating with magnetic or electric fields produced or modified by objects or geological structures or by detecting devices
• G01V 3/00 - Electric or magnetic prospecting or detectingMeasuring magnetic field characteristics of the earth, e.g. declination or deviation

Abstract

Disclosed in the present invention are a generation and diffusion-based detection method and detection system for anomalous traffic of an industrial Internet, comprising: extracting spatial features and temporal features from a public traffic data set by using a sliding packet window and a time window, and selecting a best feature set from all of the spatial features and the temporal features by using an information gain (IG) and an information gain ratio (IGR); constructing a pseudo-anomaly generator based on a tabular denoising diffusion probabilistic model (TabDDPM) and establishing an anomalous traffic detection model composed of the pseudo-anomaly generator and a discriminator; for the trained anomalous network traffic detection model, selecting an appropriate baseline function to determine whether cumulative traffic on a window is identified as anomalous; and deploying an anomalous network traffic detection model on a mobile device and performing real-time detection. According to the present invention, the most relevant few features are selected for training and classification, so as to achieve low delay and high-precision detection, and a more advanced generation model is used to make up for the defect of the lack of simulation of unknown anomalies.

IPC Classes  ?

• H04L 9/40 - Network security protocols
• G06N 3/08 - Learning methods

Abstract

The present disclosure discloses a method and a system for detecting an abnormal traffic behavior. The method of the present disclosure includes: retaining an abnormal static target vehicle in a traffic surveillance video in a background through background modeling; performing abnormal target detection, and obtaining a cropped picture of an abnormal target vehicle and a cropped video clip through cropping; performing anomaly start time estimation, inputting the cropped picture and the cropped video clip to a network model combining twin cross-correlation with pseudo three-dimensional (P3D)-Attention, labeling a classification label on the cropped video clip, and determining a video frame when abnormal behavior occurs; and determining whether a to-be-matched vehicle is an abnormal target vehicle, and determining a start time and an end time of abnormal traffic behavior with reference to the video frame that is obtained when the abnormal behavior occurs.

IPC Classes  ?

• G06V 20/54 - Surveillance or monitoring of activities, e.g. for recognising suspicious objects of traffic, e.g. cars on the road, trains or boats
• G06V 10/75 - Organisation of the matching processes, e.g. simultaneous or sequential comparisons of image or video featuresCoarse-fine approaches, e.g. multi-scale approachesImage or video pattern matchingProximity measures in feature spaces using context analysisSelection of dictionaries
• G06V 10/80 - Fusion, i.e. combining data from various sources at the sensor level, preprocessing level, feature extraction level or classification level
• G06V 20/70 - Labelling scene content, e.g. deriving syntactic or semantic representations
• G08G 1/017 - Detecting movement of traffic to be counted or controlled identifying vehicles

Abstract

An active defense system and method for an unknown threat. The system comprises: an intelligent threat early warning module (10), an unknown threat detection module (20), and an adaptive defense processing module (30). The intelligent threat early warning module (10) is configured to perform threat prediction on a power grid situation data set acquired in real time from a power information network, so as to obtain threat early warning information, and send the threat early warning information to the unknown threat detection module (20); the unknown threat detection module (20) is configured to perform threat detection and analysis on acquired unknown threat network data when receiving the threat early warning information, generate a threat analysis report, and send the threat analysis report to the adaptive defense processing module (30); and the adaptive defense processing module (30) is configured to trigger, on the basis of the threat analysis report, a defense processing operation corresponding to a preset threat defense strategy.

IPC Classes  ?

• H04L 9/40 - Network security protocols

Abstract

The present disclosure provides a coordinated and optimized dispatching method for electric buses and belongs to the technical field of smart buses. The present disclosure allows for comprehensive optimization of an electric bus dispatching strategy in time and space dimensions, establishment of a bi-level programming model for bus dispatching with consideration of a bus capacity, a transfer problem, and characteristics of electric buses, and solving of the model by a genetic algorithm. The present disclosure enables generation of a dispatching strategy for electric buses encompassing time and space aspects. The dispatching strategy is closer to an actual passenger flow situation and has better actual benefits.

IPC Classes  ?

• G06Q 50/40 - Business processes related to the transportation industry
• G06Q 10/0631 - Resource planning, allocation, distributing or scheduling for enterprises or organisations

Abstract

Disclosed in the present invention is a refrigeration system based on a composite barocaloric material. The refrigeration system comprises: a hydraulic driving and supporting apparatus, a compression assembly, a hot water loop, a cold water loop and a control module. The compression assembly comprises a pressure head, a compression cavity and an internal heat exchange piping. Both the hot water loop and the cold water loop comprise a water tank, a water pump, a heat exchanger and a flow piping. The control module is divided into a console for adjusting pressure settings and an electromagnetic valve group for switching operation loops. When the system is pressurized, an electromagnetic valve controls the hot water loop to be opened, so that a material is heated and releases heat to the environment. After the system is depressurized, an electromagnetic valve controls the cold water loop to be opened, so that the material is cooled and provides cooling for a user. In the present invention, there are two operation modes, suiting a conventional or wide working temperature range. The described method can achieve a theoretical efficiency higher than that of conventional steam compression refrigeration systems. In addition, the solid-state refrigeration working medium used has no greenhouse gas effect or ozone damage effect, belonging to a green refrigeration technology with great potential.

IPC Classes  ?

• F25B 1/00 - Compression machines, plants or systems with non-reversible cycle

Abstract

The present invention discloses a rose petal effect-based biomimetic electrode and a membrane-less water electrolysis reactor utilizing the same, belongs to the technical field of catalytic technology for water electrolysis. The electrode has a surface exhibiting a microscopically alternating hydrophilic-hydrophobic periodic structure. The hydrophilic parts ensure good contact between the catalyst and the electrolyte solution, thereby guaranteeing the electrode's catalytic performance. The hydrophobic parts allow the gas generated at the electrode surface to be discharged through internal porous channels, preventing the formation of visible bubbles on the electrode surface and thereby fundamentally avoiding issues caused by bubble formation. The membrane-less water electrolysis reactor utilizing the electrode can eliminate bubble formation on the electrode surface, thereby avoiding problems related to bubble covering catalytic sites, bubble resistance, and gas mixing. Additionally, it reduces electrolyte resistance loss, making the performance of the membrane-less water electrolysis reactor approach that of membrane electrode reactors.

IPC Classes  ?

• C25B 11/02 - ElectrodesManufacture thereof not otherwise provided for characterised by shape or form
• C25B 1/04 - Hydrogen or oxygen by electrolysis of water

Abstract

Disclosed in the present application are a magnetic field measurement sensor, a magnetic field measurement sensor system, and a method. The magnetic field measurement sensor comprises: an excitation coil and a magnetoelectric sensitive unit, wherein the magnetoelectric sensitive unit is disposed inside the excitation coil; the excitation coil is used for receiving a step signal, generating a current under the drive of the step signal, and generating an excitation magnetic field that changes in a stepped manner; and the magnetoelectric sensitive unit is used for producing, under the excitation of the excitation magnetic field that changes in a stepped manner and the excitation of magnetic field to be measured, mechanical oscillation at a natural frequency, so as to generate a target output voltage. The magnetic field measurement sensor system comprises a signal generation module, a demodulation module, an upper computer and the magnetic field measurement sensor.

IPC Classes  ?

• G01R 33/04 - Measuring direction or magnitude of magnetic fields or magnetic flux using the flux-gate principle
• G01R 33/12 - Measuring magnetic properties of articles or specimens of solids or fluids
• G01N 27/74 - Investigating or analysing materials by the use of electric, electrochemical, or magnetic means by investigating magnetic variables of fluids

Abstract

The present invention relates to the field of anticoagulant and antithrombotic drugs, and in particular to an application of sulfate gluco-galacto-oligosaccharide in preparation of an anticoagulant and/or antithrombotic drug. Disclosed in the present invention is the application of sulfate gluco-galacto-oligosaccharide in the preparation of the anticoagulant and/or antithrombotic drug. The structural formula of sulfate gluco-galacto-oligosaccharide is that R1-R24 are independently SO3− or H, but not all H. Sulfate gluco-galacto-oligosaccharide of the present invention has obvious anticoagulant activity in vivo and in vitro, and can be used for preparing the anticoagulant and/or antithrombotic drug.

IPC Classes  ?

• A61K 31/737 - Sulfated polysaccharides, e.g. chondroitin sulfate, dermatan sulfate
• A61P 7/02 - Antithrombotic agentsAnticoagulantsPlatelet aggregation inhibitors
• C08B 37/00 - Preparation of polysaccharides not provided for in groups Derivatives thereof

Abstract

The present disclosure discloses a microscopic non-destructive measurement method of a microstructure linewidth based on a translation difference, based on a conventional microscopic imaging method, a high-precision displacement platform is used to move a to-be-measured sample, one microscopic image of the sample is acquired before and after the displacement separately, subtraction is performed on the two image to obtain a differential image, a light intensity distribution function of the differential image is derived, data fitting is performed on the differential image, and a high-precision sample linewidth measurement result is obtained by using the characteristic of a high differential pulse positioning resolution. The linewidth measurement method of the present disclosure retains the advantages of intuitiveness, quickness, and non-destructive measurement of the microscopic imaging method, breaks through the microscopic imaging diffraction limit, and reducing the impact of uneven illumination and imaging system noise, thereby improving the linewidth measurement accuracy

IPC Classes  ?

• G06T 7/00 - Image analysis
• G01N 21/88 - Investigating the presence of flaws, defects or contamination

Abstract

The present disclosure provides a security authentication method, system and device for IoV communication based on a national cryptographic algorithm. The method of the present disclosure includes: constructing, by an on-board unit, an identity authentication request message for transmitting to a road side unit; receiving, by the on-board unit, an identity authentication response message, and verifying a signature; and if the verification is successful, calculating, by the on-board unit, a session key and a hash value thereof, and constructing an acknowledgment message for transmitting to the road side unit, where the acknowledgment message is used in calculating a session key and a hash value thereof by the road side unit for contrast verification; if hash values are equal, security authentication is successful and a session key is generated; and if the hash values are not equal, the security authentication is failed.

IPC Classes  ?

• G06F 21/33 - User authentication using certificates
• G06F 7/58 - Random or pseudo-random number generators
• G06F 21/45 - Structures or tools for the administration of authentication
• G06F 21/60 - Protecting data

Abstract

The present disclosure belongs to the technical field of Internet of vehicles (IoV) security and provides an IoV intrusion detection method and device based on an improved convolutional neural network. The method of the present disclosure includes: collecting original data of data traffic during IoV communication, and inputting the original data to a data dimension reduction algorithm model for IoV intrusion detection for preprocessing to obtain standardized data for IoV data analysis; inputting the standardized data for IoV data analysis to an improved convolutional neural network model for calculation, including: performing convolutional calculation and nonlinear activation on the input data for layering; performing two convolutional operations, two pooling operations and one full connection operation on each layer of data; and classifying a data set output by the improved convolutional neural network model through a SoftMax layer.

IPC Classes  ?

• H04L 9/40 - Network security protocols
• G06N 3/045 - Combinations of networks
• G06N 3/0464 - Convolutional networks [CNN, ConvNet]
• G06N 3/08 - Learning methods
• G06N 3/084 - Backpropagation, e.g. using gradient descent
• H04W 4/44 - Services specially adapted for particular environments, situations or purposes for vehicles, e.g. vehicle-to-pedestrians [V2P] for communication between vehicles and infrastructures, e.g. vehicle-to-cloud [V2C] or vehicle-to-home [V2H]

Abstract

The present disclosure belongs to the technical field of security of the Internet of vehicles, and discloses an intrusion detection method and device for an in-vehicle controller area network. The method of the present disclosure includes: digitizing and normalizing collected original data, obtaining preprocessed data, and dividing the preprocessed data into a training set and a test set; conducting feature selection on the preprocessed data through a particle swarm optimization (PSO)-light gradient boosting machine (GBM) bidirectional feature selection method; and classifying test set data subjected to the feature selection with a stacking integrated model, and obtaining an intrusion detection result. The present disclosure is configured to efficiently and accurately detect intrusion information appearing in the in-vehicle controller area network, and prevent security incidents of the Internet of vehicles caused by intrusion into the in-vehicle controller area network.

IPC Classes  ?

• H04W 12/121 - Wireless intrusion detection systems [WIDS]Wireless intrusion prevention systems [WIPS]
• G06N 20/00 - Machine learning
• H04L 12/40 - Bus networks

Abstract

An objective of the present disclosure is to provide a domain adaptation method and system for gesture recognition, which relates to the field of gesture recognition technologies. The domain adaptation method for gesture recognition includes: obtaining a to-be-recognized target domain surface electromyography signal of a user; separately inputting the to-be-recognized target domain surface electromyography signal into multiple target domain gesture recognition models, to obtain target domain gesture recognition results under multiple source-specific views, where source domains of training data used by different target domain gesture recognition models are different; and determining a gesture category of the to-be-recognized target domain surface electromyography signal according to the gesture recognition results under multiple source-specific views and a weight under each source-specific view.

IPC Classes  ?

• G06F 3/01 - Input arrangements or combined input and output arrangements for interaction between user and computer
• G06N 3/08 - Learning methods

Abstract

A split-type multifunctional underwater arc welding power supply including a shore power supply module and an underwater power supply module is provided. The shore power supply module comprises a shore power supply main circuit unit and a shore power supply control unit. The shore power supply main circuit unit comprises an input filter circuit, an IGBT full-bridge inverter circuit, an intermediate frequency transformer, and an output rectification filter circuit. The underwater power supply module comprises an underwater power supply main circuit unit and an underwater power supply control unit. The shore power supply module is provided on the shore, and the underwater power supply module is carried underwater.

IPC Classes  ?

• B23K 9/10 - Other electric circuits thereforProtective circuitsRemote controls
• B23K 9/00 - Arc welding or cutting
• H02M 3/156 - Conversion of DC power input into DC power output without intermediate conversion into AC by static converters using discharge tubes with control electrode or semiconductor devices with control electrode using devices of a triode or transistor type requiring continuous application of a control signal using semiconductor devices only with automatic control of output voltage or current, e.g. switching regulators
• H02M 3/335 - Conversion of DC power input into DC power output with intermediate conversion into AC by static converters using discharge tubes with control electrode or semiconductor devices with control electrode to produce the intermediate AC using devices of a triode or a transistor type requiring continuous application of a control signal using semiconductor devices only

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. The joint calibration method includes: establishing a modeling coordinate system taking the three-dimensional towered checkerboard as a basis, and generating a point cloud of the three-dimensional towered checkerboard; denoising a three-dimensional point cloud obtained by LiDAR, and obtaining an actual point cloud of the three-dimensional towered checkerboard under a LiDAR coordinate system; determining a transformation relationship between the LiDAR coordinate system and the modeling coordinate system; generating a corner point set of two-dimensional checkerboards under the modeling coordinate system in sequence according to actual positions of corners of the two-dimensional checkerboards, and transforming into the LiDAR coordinate system; obtaining a corner point set of the two-dimensional checkerboards on a photo; and calculating a transformation relationship between the camera coordinate system and the LiDAR coordinate system.

IPC Classes  ?

• G01S 7/497 - Means for monitoring or calibrating
• G01S 17/86 - Combinations of lidar systems with systems other than lidar, radar or sonar, e.g. with direction finders
• G06T 7/33 - Determination of transform parameters for the alignment of images, i.e. image registration using feature-based methods
• G06T 7/80 - Analysis of captured images to determine intrinsic or extrinsic camera parameters, i.e. camera calibration

Abstract

A structured illumination microscopy method based on principal component analysis. The method specifically comprises: step 1: acquiring an original illumination image of a sample required by structured illumination super-resolution; step 2: separating three pieces of spectral information of the sample; step 3: extracting the central energy of a level-1 spectrum by means of a double-window frequency-domain masking operator; step 4: acquiring an illumination vector factor; step 5: extracting a principal component of the illumination vector factor; step 6: accurately estimating an illumination parameter from the principal component of the illumination vector factor; and step 7: carrying out accurate spectral separation and super-resolution image reconstruction. By extracting a "first principal component" dominated by the illumination parameter, an interference item affecting the accurate estimation of the illumination parameter is fundamentally eliminated, thereby accurately identifying a wave vector with sub-pixel precision and an initial phase in a simple and efficient manner. In addition, a double-window frequency-domain masking operator is used to further suppress interference noise, and the data volume involved in principal component analysis is reduced by nearly thousand times, thereby greatly improving the calculation efficiency, accuracy and stability of illumination parameter estimation.

IPC Classes  ?

• G01N 21/64 - FluorescencePhosphorescence

Abstract

The present invention belongs to the technical field of autonomous driving. Disclosed are a multi-task panoptic driving perception method and system based on improved YOLOv5. The method of the present invention comprises: carrying out image preprocessing on images in a data set to obtain input images; extracting features of the input images by using a backbone network of improved YOLOv5 so as to obtain feature maps, the backbone network being obtained by replacing a C3 module in a YOLOv5 backbone network with an inverted residual bottleneck module; fusing feature maps obtained by inputting the feature maps into a neck network and the feature maps obtained by the backbone network; inputting the fusion feature map into a detection head for performing traffic object detection; and inputting the feature maps of the neck network into a branch network for performing lane line detection and drivable area segmentation. The present invention can process the information of scenes around a vehicle in real time with high accuracy, thus assisting a vehicle decision-making system in making decisions, and allowing traffic object detection, drivable area segmentation and lane line detection to be carried out at the same time.

IPC Classes  ?

• G06V 20/56 - Context or environment of the image exterior to a vehicle by using sensors mounted on the vehicle
• G06V 10/82 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
• G06V 10/80 - Fusion, i.e. combining data from various sources at the sensor level, preprocessing level, feature extraction level or classification level

Abstract

This application relates to the field of motor technologies, and provides a motor rotor, a drive motor, and an electric vehicle. In the motor rotor, a rotor core with at least two protruding components is designed. At least two magnetic steels and at least two sheets are disposed in grooves between the at least two protruding components and then coupled to the rotor core with a rotor pressing plate. In addition, one SMC sheet is stacked on each of the magnetic steels, so that an eddy current loss of a permanent magnet can be effectively reduced. Each of the magnetic steels is disposed in a groove between protruding components, and the SMC sheet is added, so that a saliency ratio is increased, a reluctance torque ratio is increased, and a quantity of magnetic steels for use is reduced.

IPC Classes  ?

• H02K 1/2798 - Rotors axially facing stators the rotor consisting of two or more circumferentially positioned magnets where both axial sides of the stator face a rotor
• H02K 1/28 - Means for mounting or fastening rotating magnetic parts on to, or to, the rotor structures
• H02K 21/24 - Synchronous motors having permanent magnetsSynchronous generators having permanent magnets with stationary armatures and rotating magnets with magnets axially facing the armatures, e.g. hub-type cycle dynamos

Abstract

A lens-free single-frame phase recovery method based on partially coherent light-emitting diode illumination. The method is implemented in a lens-free on-chip microscopy experiment system. Only a single-color patch LED light source is used for illumination, and a single in-line hologram is collected. High-resolution and high-signal-to-noise-ratio phase information of an object is then directly recovered by means of a multi-wavelength iteration phase recovery method in combination with a dynamic phase support constraint. By means of the method, the capability of rapid and long-time lens-free on-chip single-frame phase recovery can be given without the need for complex transformation of a conventional lens-free on-chip microscope. The structure of a microscopy system includes a light source (1), a sample (2) and a sensor (3).

IPC Classes  ?

• G01N 21/31 - Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
• G01N 21/01 - Arrangements or apparatus for facilitating the optical investigation

Abstract

Disclosed in the present invention is a translation-difference-based microscopic non-destructive measurement method for a micro-structure linewidth, wherein the method solves the problem of the precision of measurement being low due to the fact that measurement of a micro-structure linewidth by using a microscopic imaging method is limited by an imaging diffraction limit. The method comprises: firstly, collecting a microscopic image of a microstructure to be subjected to measurement; subsequently, translating the microstructure in a linewidth direction by a small distance, and re-collecting a microscopic image of said microstructure; then, performing subtraction on the two collected microscopic images to obtain a differential image; then, performing data fitting on light intensity data of the differential image by taking a Gaussian function as an objective, and locating accurate positions of differential pulses on two sides by using extreme points of the Gaussian function; and finally, obtaining a high-precision linewidth measurement result according to precise positions of the extreme points on the two sides. The linewidth measurement method in the present invention retains the advantages of visualization, rapidness and non-destructive measurement of a microscopic imaging method, also breaks through the microscopic imaging diffraction limit, and also reduces the impact of uneven illumination and noise of an imaging system, such that the precision of linewidth measurement can be improved.

IPC Classes  ?

• G01B 11/02 - Measuring arrangements characterised by the use of optical techniques for measuring length, width, or thickness
• G06V 20/69 - Microscopic objects, e.g. biological cells or cellular parts

Abstract

ININ passes through an orthogonal generation unit to generate a group of I differential signals and a group of Q differential signals; the I and Q differential signals respectively enter an I-path phase-shifting frequency mixing unit having a high harmonic suppression ratio and a Q-path phase-shifting frequency mixing unit having a high harmonic suppression ratio, are frequency-mixed with a differential local oscillator signal in a local oscillator signal and a control signal of a timing control unit, and are phase-shifted to generate I- and Q-path differential intermediate-frequency signals; a positive end in the I-path differential intermediate-frequency signal and a positive end in the Q-path differential intermediate-frequency signal are inputted into a same load to generate an intermediate-frequency positive output signal; a negative end in the I-path differential intermediate-frequency signal and a negative end in the Q-path differential intermediate-frequency signal are inputted into a same load to generate an intermediate-frequency negative output signal; and the intermediate-frequency positive output signal and the intermediate-frequency negative output signal jointly form an intermediate-frequency differential output signal. The present invention has a simple and compact structure, improves the phase-shifting accuracy of the system, and can implement frequency-mixing, thereby reducing the power consumption of the system.

IPC Classes  ?

• H03D 7/14 - Balanced arrangements

Abstract

A motor rotor, a motor, and an electric vehicle are disclosed. The motor rotor includes an iron core yoke, a spoke plate, and at least two permanent magnets. The at least two permanent magnets are fastened to the iron core yoke and sequentially spaced apart in the circumferential direction. The spoke plate is located between adjacent permanent magnets. A quadrature-axis magnetic circuit is reserved between adjacent permanent magnets, and the spoke plate whose reluctance is less than that of air or the permanent magnet material is disposed on the quadrature-axis magnetic circuit, that is, the spoke plate is disposed between the adjacent permanent magnets. In this way, reluctance of the quadrature-axis magnetic circuit may be reduced, and quadrature-axis inductance may be increased. Accordingly, a reluctance torque is increased, and a torque output capability of the motor is improved.

IPC Classes  ?

• H02K 1/2795 - Rotors axially facing stators the rotor consisting of two or more circumferentially positioned magnets
• H02K 21/24 - Synchronous motors having permanent magnetsSynchronous generators having permanent magnets with stationary armatures and rotating magnets with magnets axially facing the armatures, e.g. hub-type cycle dynamos
• B60K 1/00 - Arrangement or mounting of electrical propulsion units

Abstract

Disclosed is a high-precision dynamic real-time 360-degree omnidirectional point cloud acquisition method based on fringe projection. The method comprises: firstly, by means of the fringe projection technology based on a stereoscopic phase unwrapping method, and with the assistance of an adaptive dynamic depth constraint mechanism, acquiring high-precision three-dimensional (3D) data of an object in real time without any additional auxiliary fringe pattern; and then, after a two-dimensional (2D) matching points optimized by the means of corresponding 3D information is rapidly acquired, by means of a two-thread parallel mechanism, carrying out coarse registration based on Simultaneous Localization and Mapping (SLAM) technology and fine registration based on Iterative Closest Point (ICP) technology. By means of the invention, low-cost, high-speed, high-precision, unconstrained and rapid-feedback omnidirectional 3D real-time molding becomes possible, and a new gate is opened into the fields of 360-degree workpiece 3D surface defect detection, rapid reverse forming, etc.

IPC Classes  ?

• H04N 23/90 - Arrangement of cameras or camera modules, e.g. multiple cameras in TV studios or sports stadiums
• G06T 3/14 - Transformations for image registration, e.g. adjusting or mapping for alignment of images
• G06T 7/33 - Determination of transform parameters for the alignment of images, i.e. image registration using feature-based methods
• G06T 7/80 - Analysis of captured images to determine intrinsic or extrinsic camera parameters, i.e. camera calibration

Abstract

A wavelength-scanning-based lensless Fourier ptychographic diffraction tomography microimaging method, comprising: on a lensless on-chip microscopic experiment system, performing illumination merely by using a wavelength-tunable light source, and collecting a series of in-line holograms; and then filling a three-dimensional scattering potential spectrum by means of an iterative Fourier ptychographic method to directly restore a three-dimensional refractive index distribution of a sample. There is no need to perform complicated transformation on a traditional lensless on-chip microscope, and pixels of the lensless on-chip microscope can be endowed with the super-resolution three-dimensional tomography capability.

IPC Classes  ?

• G01N 21/41 - RefractivityPhase-affecting properties, e.g. optical path length
• G06F 17/14 - Fourier, Walsh or analogous domain transformations

Abstract

The invention discloses a three-dimensional (3D) measurement method based on end-to-end deep learning for speckle projection. First, the speckle pattern was projected by the projector and collected simultaneously by the stereo camera. The speckle images after stereo rectification are fed into the stereo matching network. A feature extraction sub-network based on shared weights processes the speckle images to obtain a series of low-resolution 3D feature tensors, The feature tensor is fed into the saliency object detection sub-network to detect foreground information in the speckle images, producing a full-resolution valid mask map. A 4D matching cost volume is generated using the feature tensor of both views based on the candidate disparity range, filtered by a series of 3D convolutional layers to achieve cost aggregation, so that the initial disparity map is obtained by disparity regression. The final disparity map is obtained by combining the mask map and the initial disparity map to achieve a single-frame, robust, and absolute 3D shape measurement. The invention achieves a single-frame, robust, and absolute 3D shape measurement by projecting a single speckle pattern.

IPC Classes  ?

• G06T 7/593 - Depth or shape recovery from multiple images from stereo images
• G06T 3/40 - Scaling of whole images or parts thereof, e.g. expanding or contracting
• G06T 7/194 - SegmentationEdge detection involving foreground-background segmentation
• G06V 10/44 - Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersectionsConnectivity analysis, e.g. of connected components

Abstract

A high-aspect-ratio micro-structured transmissive interference-microscopic nondestructive measurement apparatus and method. By using an advantage of near-infrared light being capable of penetrating through a silicon substrate, measurement can be performed by using a large numerical-aperture light beam. For the problem of the focusability of a large numerical-aperture light beam converged by a microscopic objective lens being reduced due to the large numerical-aperture light beam being modulated by a groove structure of a sample (9) under test, a microscopic objective lens exit-pupil aberration monitoring light path and an active aberration compensation system are provided; and for the problem of aberration being excessively great during detection in a reflective structure, a transmissive structure is used to reduce the aberration and improve measurement precision. The depth and width of said sample (9) are obtained by using a vertical scanning interference method. The high-aspect-ratio micro-structured transmissive interference-microscopic nondestructive measurement apparatus overcomes the difficulty of it being hard to perform nondestructive measurement on a high-aspect-ratio groove structure of a silicon-based MEMS device by using the existing measurement technology, and performs high-precision nondestructive measurement on the depth and width of a deep groove structure of said sample (9).

IPC Classes  ?

• G01B 11/02 - Measuring arrangements characterised by the use of optical techniques for measuring length, width, or thickness
• G01B 11/22 - Measuring arrangements characterised by the use of optical techniques for measuring depth

Abstract

Provided in the embodiments of the present application are a stator structure, an axial flux electric motor, a power train and a vehicle. The stator structure comprises at least a stator assembly, a stator outer diameter support and a stator inner diameter support, which are coaxially arranged, wherein in the radial direction of the stator assembly, the stator outer diameter support is located outside the stator assembly, and the stator inner diameter support is located inside the stator assembly; the stator assembly comprises a stator iron core and at least two groups of armature windings; and the at least two groups of armature windings are distributed at intervals in the circumferential direction of the stator iron core and are each wound on the stator iron core. The stator structure further comprises at least two fixing members, which are distributed at intervals in the circumferential direction of the stator iron core, wherein each fixing member is located between every two adjacent groups of armature windings, and passes through the stator outer diameter support, the stator iron core and the stator inner diameter support in the radial direction of the stator iron core, so as to fix the stator outer diameter support, the stator iron core and the stator inner diameter support.

IPC Classes  ?

• H02K 1/12 - Stationary parts of the magnetic circuit
• H02K 1/18 - Means for mounting or fastening magnetic stationary parts on to, or to, the stator structures
• H02K 1/20 - Stationary parts of the magnetic circuit with channels or ducts for flow of cooling medium

Abstract

The present invention relates to the technical field of blockchains. Disclosed are a blockchain privacy data access control method and system. According to the present invention, a blockchain system and an attribute-revocable CP-ABE mechanism are combined, a pre-decryption process is introduced, and attributes are revoked in time according to user requirements. According to the present invention, user data privacy is protected while data sharing and fine-grained access are achieved, thereby achieving a balance between data sharing and privacy protection.

IPC Classes  ?

• H04L 9/08 - Key distribution

Abstract

A transport of intensity diffraction tomography microscopic imaging method based on a non-interferometric synthetic aperture, comprising: collecting axial defocus intensity stacks under different illumination angles, performing semi-spatial Fourier filtering or equivalent three-dimensional Hilbert transform on a light intensity spectrum, and combining a non-interferometric synthetic aperture, so as to realize non-interferometric measurement-based diffraction tomography imaging without satisfying a matched illumination condition. Due to the inherent synthetic aperture advantage, the imaging resolution reaches an incoherent imaging diffraction limit, and a high-resolution imaging result is obtained. Non-interferometric measurement is used, an imaging optical path is simple, an optical path is stable, an imaging result is not affected by speckles and parasitic interference, and the method is highly compatible with a traditional bright field microscope structure.

IPC Classes  ?

• G01N 21/84 - Systems specially adapted for particular applications
• G01N 21/01 - Arrangements or apparatus for facilitating the optical investigation

Abstract

Disclosed in the present invention is a method for regulating a focal length range of a zoom super-lens by introducing an additional phase. A super-lens comprises: two layers of glass serving as substrates, and two layers of dielectric pillar layer arrays respectively arranged on the glass substrates. When the super-lens works, incident light vertically irradiates the lower surface of the glass substrate at the first layer, focusing is implemented by means of transmission of the glass and phase modulation of the dielectric silicon nanopillar arrays, a super-surface at the second layer is rotated, the focal length is changed, and a focal length range can be regulated by means of an additional deflection phase. According to the double-layer zoom super-lens additionally provided with the deflection phase put forward in the present invention, the contradiction between large rotation angles and efficiency of conventional zoom lenses is solved; in the present invention, a micro-nano structure is used to improve conventional zooming modes, the size and the weight of the lens are reduced as much as possible, and the trend of miniaturization and integration of modern optical devices or photoelectric devices is met.

IPC Classes  ?

• G02B 3/00 - Simple or compound lenses
• G02B 3/02 - Simple or compound lenses with non-spherical faces

Abstract

The invention discloses a miniaturized, low-cost, multi-contrast label-free microscopic imaging system. The imaging system is based on an inverted microscopic structure, a highly integrated optical system is designed by adopting a micro lens having a fixed focal length, and a complex optical system of a traditional microscope system is replaced, such that the whole microscope is highly integrated. The system uses a programmable LED array as an illumination light source the LED array is controlled by a computer to display different illumination modes, six imaging functions of a bright field, a dark field a rainbow dark field, Rheinberg optical dyeing, differential phase contrast, and quantitative phase imaging are achieved; and diversified unmarked imaging methods are provided for biological applications. The invention provides a matching control system, which can realize system hardware control and algorithm execution and display, comprises functions such as illumination control, camera parameter adjustment quantitative phase reconstruction recovery, two-dimensional/three-dimensional result display, and quantitative profile analysis, and can realize diversified information obtaining and analysis of unmarked samples.

IPC Classes  ?

• G02B 21/14 - Condensers affording illumination for phase-contrast observation
• G02B 21/00 - Microscopes

Abstract

The present disclosure discloses a character offset detection method and system. The method includes: acquiring a text image; performing character separation based on the text image to obtain a character text region; calculating a center point of each rectangular box in the character text region to obtain a center point set; determining an optimal fitted curve based on the center point set; and analyzing character offset based on the optimal fitted curve to obtain an offset result. The present disclosure realizes detection of the character offset based on curve fitting, so that the accuracy of detection is improved.

IPC Classes  ?

• G06V 30/146 - Aligning or centering of the image pick-up or image-field
• G06V 20/62 - Text, e.g. of license plates, overlay texts or captions on TV images
• G06V 30/148 - Segmentation of character regions
• G06V 30/18 - Extraction of features or characteristics of the image

Abstract

A xylose isomerase and a use thereof, the xylose isomerase comprising xylose isomerase with high activity expression in yeast cells, xylose isomerase obtained by modifying the N-terminus of the protein sequence, and xylose isomerase obtained based on an ancestral sequence construction method; the single expression or combination expression of same can endow the yeast cell with the capability of converting xylose into xylulose, so that the host cell is endowed with the capability of converting xylose into other products. The present invention also relates to a use of four types of xylose isomerase in the production of chemicals such as ethanol from yeast by using xylose as a substrate. When expressed in yeast cells such as saccharomyces cerevisiae, the xylose isomerase enables a host which does not have the capability of converting xylose to xylulose to acquire said conversion capability, and endows the host cell with the capability of producing chemicals such as ethanol by using xylose or raw materials rich in xylose such as lignocellulose hydrolysate.

IPC Classes  ?

• C12N 9/90 - Isomerases (5.)
• C12N 15/61 - Isomerases (5)
• C12N 15/81 - Vectors or expression systems specially adapted for eukaryotic hosts for fungi for yeasts
• C12P 7/06 - Ethanol, i.e. non-beverage

Abstract

A method and system for detecting anomalous traffic behavior, belonging to the technical field of intelligent video analysis. The method comprises: by means of background modeling, retaining in the background an anomalously static target vehicle in a traffic monitoring video; performing detection on the anomalous target, and removing a cropped picture and video clip containing the anomalous target vehicle; performing anomaly start time estimation, inputting the cropped picture and the cropped video clip into a network model combining twin cross-correlation and P3D-attention, applying a classification label to the cropped video clip, and determining the video frame in which the anomalous behavior occurred; determining whether the vehicle for which matching is to be performed is the anomalous target vehicle and, on the basis of the video frame in which the anomalous behavior occurred, determining the start time and the end time of the anomalous traffic behavior. Use of the present method improves the speed and performance of detection of the state of an anomalously static vehicle.

IPC Classes  ?

• G06V 20/40 - ScenesScene-specific elements in video content

Abstract

This invention proposes a single-vector-based finite control set model predictive control for two parallel power converters, which adopts a centralized control structure to achieve accurate control of overall performance. It establishes predictive models for line currents and three phase-circulating currents and constructs a novel cost function that uses these currents as performance indices to implement the predictive control algorithm based on the proposed predictive models. The invention proposes dynamic weighting coefficients and adjustment principles to improve system control performance. A finite set output signal matrix containing important characteristic information of all alternative vectors is constructed to avoid redundant calculations in each control horizon, reducing computation time during practical implementation. This invention addresses the limitations of existing one-vector-based FCS-MPC for two paralleled power converters, which controls each sub-converter individually with a set of available eight control actions and cannot effectively regulate the overall performance of the two paralleled power converters.

IPC Classes  ?

• H02M 7/5387 - Conversion of DC power input into AC power output without possibility of reversal by static converters using discharge tubes with control electrode or semiconductor devices with control electrode using devices of a triode or transistor type requiring continuous application of a control signal using semiconductor devices only, e.g. single switched pulse inverters in a bridge configuration
• H02M 7/493 - Conversion of DC power input into AC power output without possibility of reversal by static converters using discharge tubes with control electrode or semiconductor devices with control electrode the static converters being arranged for operation in parallel

Abstract

A gas diffusion electrode includes a carbon fiber tube, a support layer, and a catalyst layer. The carbon fiber tube is straight and functions as a substrate. The support layer includes a carbon black-polytetrafluoroethylene (PTFE) coating, and is disposed on the substrate. The catalyst layer includes carbon black, anhydrous ethanol, and PTFE, and is disposed on the support layer. The gas diffusion electrode has a diameter of 3-20 mm and a length of 50-500 mm.

IPC Classes  ?

• C02F 1/461 - Treatment of water, waste water, or sewage by electrochemical methods by electrolysis
• C25B 1/30 - Peroxides
• C25B 11/032 - Gas diffusion electrodes
• C25B 11/065 - Carbon
• C02F 1/467 - Treatment of water, waste water, or sewage by electrochemical methods by electrolysis by electrochemical disinfection

Abstract

The present invention relates to the technical field of intelligent buses, and disclosed is a coordinated optimization scheduling method for electric buses. In the present invention, an electric bus scheduling policy is comprehensively optimized from two scales of time and space, a bus scheduling two-layer planning model that takes bus capacity, a transfer issue, and electric bus characteristics into consideration is constructed, and the model is solved according to a genetic algorithm. According to the present invention, the electric bus scheduling policy that covers two aspects of time and space can be generated, so that the scheduling policy is in line with the actual passenger flow and has practical benefits.

IPC Classes  ?

• G06Q 10/06 - Resources, workflows, human or project managementEnterprise or organisation planningEnterprise or organisation modelling
• G06Q 50/26 - Government or public services
• G06N 3/12 - Computing arrangements based on biological models using genetic models

Abstract

The present invention relates to the technical field of public transport passenger flow detection, and disclosed are a bus passenger flow detection method and system. In the present invention, the number of passengers getting on a bus, the number of passengers on seats, and the number of standing passengers are respectively counted, and finally, the bus passenger flow is calculated according to statistical data. According to the present invention, the real-time number of people in a compartment of the bus can be accurately counted, so that the number of people getting on and off the bus at each stop and bus passenger flow information of a certain section are detected, bus running indicators such as the load factor of the vehicle, the passenger flow of each stop and the passenger flow of each bus line are further obtained, and on the basis of the indicators, the peak passenger flow hours of each bus can be monitored, a supersaturated bus stop can be identified, and effective data support is provided for bus passenger flow analysis.

IPC Classes  ?

• G07C 9/00 - Individual registration on entry or exit
• G01L 5/00 - Apparatus for, or methods of, measuring force, work, mechanical power, or torque, specially adapted for specific purposes

Abstract

The present invention relates to the technical field of internet of vehicles security, and discloses an in-vehicle controller local area network intrusion detection method and device. The method comprises: numeralizing and normalizing collected original data to obtain preprocessed data, and dividing the preprocessed data into a training set and a test set; performing feature screening on the preprocessed data by using a PSO-LightGBM bidirectional feature selection method; and classifying the preprocessed and feature-screened test set data by using a Stacking integration model, so as to obtain an intrusion detection result. The method is used for efficiently and accurately detecting intrusion information that appears in the in-vehicle controller area network and preventing internet of vehicles security events caused by the intrusion of the in-vehicle controller area network.

IPC Classes  ?

• H04W 12/121 - Wireless intrusion detection systems [WIDS]Wireless intrusion prevention systems [WIPS]

Abstract

A biomimetic membrane structure based on a zinc protoporphyrin organic cage and a use thereof. The zinc protoporphyrin organic cage is prepared by enabling a tetraaldehyde phenyl porphyrin and (2,4,6-tri-butoxybenzene-1,3,5-tri)trimethylamine chloroform solution and a zinc acetate methanol solution to undergo a reaction; a zinc protoporphyrin organic cage, phospholipid and cholesterol chloroform solution of a certain concentration is added dropwise to the surface of an electrode, and a solvent is fully volatilized to obtain the biomimetic membrane structure. The calculated light-emitting intensity is associated with the concentration of a light-emitting body and membrane solution to obtain an optimal light-emitting condition. An electrochemical luminescence device is simple, the operation is simple and convenient, and a change trend of the light intensity along with the concentration of a reactant can be conveniently detected; by means of electrochemiluminescence detection, an initial reaction condition, a speed and a path can be controlled by adjusting the potential, so as to conveniently perform in-situ and on-site analysis; the present invention is applicable to melittin detection.

IPC Classes  ?

• G01N 27/416 - Systems
• G01N 27/327 - Biochemical electrodes
• G01N 27/30 - Electrodes, e.g. test electrodesHalf-cells
• C09K 11/02 - Use of particular materials as binders, particle coatings or suspension media therefor

Abstract

The present invention belongs to the technical field of Internet-of-Vehicles security. Disclosed are an Internet-of-Vehicles communication security authentication method, system and device based on a national cryptographic algorithm. The method of the present invention comprises: an on-board terminal constructing an identity authentication request message and sending same to a roadside facility; the on-board terminal receiving an identity authentication response message and verifying a signature; if verification is successful, the on-board terminal calculating a session key and a hash value thereof, and constructing an acknowledgement message and sending same to the roadside facility, wherein the acknowledgement message is used by the roadside facility to calculate a session key and a hash value thereof and perform comparison verification; and if the hash values are equal, determining that security authentication is successful and generating the session keys, and if not, determining that security authentication fails. The present invention combines an SM2 digital signature algorithm, an SM2 public key encryption algorithm and an SM3 hashing algorithm to ensure that the method can be applied to a communication process between an on-board terminal and a roadside facility, such that various attacks can be resisted using relatively few total computing resources and a relatively low communication bandwidth.

IPC Classes  ?

• G06F 21/33 - User authentication using certificates
• G06F 21/45 - Structures or tools for the administration of authentication
• G06F 21/60 - Protecting data
• G06F 21/64 - Protecting data integrity, e.g. using checksums, certificates or signatures
• G06F 7/58 - Random or pseudo-random number generators

Abstract

The present invention belongs to the technical field of Internet-of-Vehicles security. Disclosed are an Internet-of-Vehicles intrusion detection method and device based on an improved convolutional neural network. The method of the present invention comprises: collecting original data of data traffic during an Internet-of-Vehicles communication process, and inputting same into an Internet-of-Vehicles intrusion detection data dimension reduction algorithm model to perform preprocessing, so as to obtain standardized data for Internet-of-Vehicles data analysis; inputting the standardized data for Internet-of-Vehicles data analysis into an improved convolutional neural network model to perform calculation, which comprises performing convolutional calculation and nonlinear activation on the input data to perform layering, and respectively performing two convolution operations, two pooling operations and one full-connection operation on data of each layer; and classifying, by means of a Softmax layer, a data set output by the improved convolutional neural network model. The present invention can solve the problem of how to precisely capture intrusion behavior data of the Internet of Vehicles in an Internet-of-Vehicles communication environment by means of an efficient and reliable intrusion detection method.

IPC Classes  ?

• H04L 9/40 - Network security protocols

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. The joint calibration method includes: establishing a modeling coordinate system taking the three-dimensional towered checkerboard as a basis, and generating a point cloud of the three-dimensional towered checkerboard; denoising a three-dimensional point cloud obtained by LiDAR, and obtaining an actual point cloud of the three-dimensional towered checkerboard under a LiDAR coordinate system; determining a transformation relationship between the LiDAR coordinate system and the modeling coordinate system; generating a corner point set of two-dimensional checkerboards under the modeling coordinate system in sequence according to actual positions of corners of the two-dimensional checkerboards, and transforming into the LiDAR coordinate system; obtaining a corner point set of the two-dimensional checkerboards on a photo; and calculating a transformation relationship between the camera coordinate system and the LiDAR coordinate system.

IPC Classes  ?

• G01S 7/497 - Means for monitoring or calibrating
• G01S 17/86 - Combinations of lidar systems with systems other than lidar, radar or sonar, e.g. with direction finders
• G06T 7/33 - Determination of transform parameters for the alignment of images, i.e. image registration using feature-based methods
• G06T 7/80 - Analysis of captured images to determine intrinsic or extrinsic camera parameters, i.e. camera calibration

Abstract

Disclosed is a silicon-based time modulation phased array feed network unit, characterized in comprising a power division module, a time modulation module, an orthogonal synthesis module, and an amplifier module. In a signal transmission process, a transmitted signal enters the time modulation module by means of the power division module, or directly enters the time modulation module. After signal phase shifting is completed in the time modulation module, in-phase/orthogonal transformation and power synthesis are carried out on the phase-shifted signal by the orthogonal synthesis module, and the signal is then amplified by the amplifier module and outputted. In a signal reception process, after a radio-frequency signal has been amplified by the amplifier module, the radio-frequency signal is subjected to power division and in-phase/orthogonal transformation by the orthogonal synthesis module, and then enters the time modulation module to carry out signal phase shifting, and the phase-shifted signal is synthesized and outputted by the power division module or is directly outputted. The present invention is simple in structure, improves the phase shift precision of the system, and reduces the loss of the system.

IPC Classes  ?

• H01Q 1/50 - Structural association of antennas with earthing switches, lead-in devices or lightning protectors
• H01Q 3/30 - Arrangements for changing or varying the orientation or the shape of the directional pattern of the waves radiated from an antenna or antenna system varying the relative phase or relative amplitude of energisation between two or more active radiating elementsArrangements for changing or varying the orientation or the shape of the directional pattern of the waves radiated from an antenna or antenna system varying the distribution of energy across a radiating aperture varying the phase
• H01Q 21/00 - Antenna arrays or systems

Abstract

A driver fatigue detection method based on combining a pseudo-three-dimensional (P3D) convolutional neural network (CNN) and an attention mechanism includes: 1) extracting a frame sequence from a video of a driver and processing the frame sequence; 2) performing spatiotemporal feature learning through a P3D convolution module; 3) constructing a P3D-Attention module, and applying attention on channels and a feature map through the attention mechanism; and 4) replacing a 3D global average pooling layer with a 2D global average pooling layer to obtain more expressive features, and performing a classification through a Softmax classification layer. By analyzing the yawning behavior, blinking and head characteristic movements, the yawning behavior is well distinguished from the talking behavior, and it is possible to effectively distinguish between the three states of alert state, low vigilant state and drowsy state, thus improving the predictive performance of fatigue driving behaviors.

IPC Classes  ?

• G06F 9/00 - Arrangements for program control, e.g. control units
• G08B 21/18 - Status alarms
• G06V 20/59 - Context or environment of the image inside of a vehicle, e.g. relating to seat occupancy, driver state or inner lighting conditions
• G06V 20/40 - ScenesScene-specific elements in video content
• G06V 10/82 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
• G06V 10/776 - ValidationPerformance evaluation
• G06V 10/77 - Processing image or video features in feature spacesArrangements for image or video recognition or understanding using pattern recognition or machine learning using data integration or data reduction, e.g. principal component analysis [PCA] or independent component analysis [ICA] or self-organising maps [SOM]Blind source separation

Abstract

Disclosed in the present invention are a three-dimensional tower-type checkerboard for multi-sensor calibration, and a LiDAR-camera joint calibration method based on the checkerboard, which checkerboard and method can be used for solving the technical problem of it being impossible to perform three-dimensional calibration in joint calibration. The joint calibration method in the present invention comprises: establishing a modeling coordinate system based on a three-dimensional tower-type checkerboard, and generating a point cloud which corresponds to the three-dimensional tower-type checkerboard; performing denoising processing on a three-dimensional point cloud obtained via LiDAR, so as to obtain an actual point cloud of the three-dimensional tower-type checkerboard under a LiDAR coordinate system; determining a transformation relationship between the LiDAR coordinate system and the modeling coordinate system; according to actual positions of corners of a two-dimensional checkerboard, generating a corner set of the two-dimensional checkerboard under the modeling coordinate system in sequence, and transforming the corner set to the LiDAR coordinate system; acquiring a corner set of the two-dimensional checkerboard on a photograph; and calculating a transformation relationship between a camera coordinate system and the LiDAR coordinate system, thus obtaining a joint calibration result.

IPC Classes  ?

• G06T 7/80 - Analysis of captured images to determine intrinsic or extrinsic camera parameters, i.e. camera calibration

Abstract

A water-processing electrochemical reactor that comprises a cylindrical inner anode (73), an outer tubular cathode (74), an intermediate chamber between the anode (73) and the cathode (74) and being crossed by the water, an outer shell (77) surrounding the cathode (74), a water inlet (71) and a water outlet (78), and a gas inlet (80) and gas outlet (79) connected to the outer shell (77) and to the gas chamber. The cathode surrounds the inner anode (73) and is porous to gas. A gas chamber is defined between the cathode (74) and the outer shell (77). The gas chamber contains a gas comprising oxygen and is at an overpressure that forces the gas through the porous cathode (74).

IPC Classes  ?

• C02F 1/72 - Treatment of water, waste water, or sewage by oxidation
• C02F 1/32 - Treatment of water, waste water, or sewage by irradiation with ultraviolet light
• C02F 1/461 - Treatment of water, waste water, or sewage by electrochemical methods by electrolysis
• C02F 1/467 - Treatment of water, waste water, or sewage by electrochemical methods by electrolysis by electrochemical disinfection

Abstract

The present invention provides an information traceability method and system based on a blockchain. The method includes: receiving a traceability request, where the traceability request includes a type label, a time label, and a content label; accessing information path data pre-stored in the blockchain based on the type label to obtain target path data, where the target path data is single-source path data or multi-source path data; determining a corresponding primary data set based on the time label, where the target path data includes a plurality of primary data sets; determining a corresponding secondary data set based on the content label, where the primary data set includes at least one secondary data set; and extracting path information from the secondary data set, and obtaining at least one information source based on the path information. In the technical solution of the present invention, an information source can be quickly located based on different labels in the traceability request during information traceability, which reduces a volume of data traversed during searching for the information source, saves a time for searching for the information source, and has relatively high efficiency.

IPC Classes  ?

• G06F 16/00 - Information retrievalDatabase structures thereforFile system structures therefor
• G06F 16/27 - Replication, distribution or synchronisation of data between databases or within a distributed database systemDistributed database system architectures therefor
• G06F 17/10 - Complex mathematical operations

Abstract

A powder electrostatic accumulation test device, comprising an automatic feeding module, a sample sliding module, and a data acquisition and processing module. The automatic feeding module comprises a feeding hopper (4), a vibrator (20), and a control valve (21); the sample sliding module comprises an obliquely provided sliding groove (7); and the data acquisition and processing module comprises a mass measurement module, a charge measurement module, and a data processing module. By configuring the vibrator (20) and the control valve (21) on the feeding hopper (4), the vibrator (20) can ensure that a sample is continuously added to the sliding groove (7), so that a manual mode is replaced with a mechanical mode; and the adjustment of the degree of opening of the control valve (21) can implement effective control on a feeding speed, thereby effectively reducing the effects of human factors and improving test precision. Meanwhile, the mass measurement module measures the mass of the sample sliding into a Faraday cylinder (13), and does not record the mass of the sample adhered to intermediate links such as the feeding hopper (4) and the sliding groove (7), so that the test precision can be remarkably improved. Also provided is a powder electrostatic accumulation test method which is simple in operations and precise in test results.

IPC Classes  ?

• G01R 29/24 - Arrangements for measuring quantities of charge
• G01R 29/12 - Measuring electrostatic fields
• G01N 27/60 - Investigating or analysing materials by the use of electric, electrochemical, or magnetic means by investigating electrostatic variables

Abstract

The invention discloses a single-frame fringe pattern analysis method based on multi-scale generative adversarial network. A multi-scale generative adversarial neural network model is constructed and a comprehensive loss function is applied. Next, training data are collected to train the multi-scale generative adversarial network. During the prediction, a fringe pattern is fed into the trained multi-scale network where the generator outputs the sine term, cosine term, and the modulation image of the input pattern. Finally, the arctangent function is applied to compute the phase. When the network is trained, the parameters of the network do not need to manually tune during the calculation. Since the input of the neural network is only a single fringe pattern, the invention provides an efficient and high-precision phase calculation method for moving objects.

IPC Classes  ?

• G06N 3/094 - Adversarial learning
• G06N 3/0475 - Generative networks
• G06N 3/048 - Activation functions
• G06V 10/44 - Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersectionsConnectivity analysis, e.g. of connected components

Abstract

The present invention relates to the technical field of wastewater treatment, and discloses a method for enhanced bio-treatment of refractory organic pollutants with photo-excited holes as electron acceptors. The method comprises the following steps: 1) placing a composite semiconductor-coated carrier material into a reactor, introducing wastewater into the reactor inoculated with anaerobic sludge, and allowing the composite semiconductor-coated carrier material to be immersed in the wastewater, wherein the composite semiconductor-coated carrier material comprises a conductive carrier and composite semiconductor materials loaded on the conductive carrier; 2) carrying out habituated culture on the anaerobic sludge for a period of time, and loading a biological membrane on the surface of the composite semiconductor materials, to construct a photo-excited hole enhanced bioreactor; and 3) treating the refractory pollutants in the wastewater by utilizing the reactor under irradiation.

IPC Classes  ?

• C02F 3/28 - Anaerobic digestion processes
• C25D 9/08 - Electrolytic coating other than with metals with inorganic materials by cathodic processes

Abstract

An electrode includes a microporous titanium substrate coated with a catalytic layer, and the catalytic layer includes magnetic SnO2—Sb particles. The magnetic SnO2—Sb particles are attached to the microporous titanium substrate through an external magnetic field. The microporous titanium substrate includes a plurality of membrane pores having a pore size of 5-50 μm that is smaller than a particle size of the magnetic SnO2—Sb particles.

IPC Classes  ?

• C02F 1/461 - Treatment of water, waste water, or sewage by electrochemical methods by electrolysis
• C02F 1/467 - Treatment of water, waste water, or sewage by electrochemical methods by electrolysis by electrochemical disinfection

Abstract

12433 - or H, but not all H. Sulfate gluco-galacto-oligosaccharide of the present invention has obvious anticoagulant activity in vivo and in vitro, and can be used for preparing the anticoagulant and/or antithrombotic drug.

IPC Classes  ?

• A61K 31/737 - Sulfated polysaccharides, e.g. chondroitin sulfate, dermatan sulfate
• A61P 7/02 - Antithrombotic agentsAnticoagulantsPlatelet aggregation inhibitors
• C08B 37/00 - Preparation of polysaccharides not provided for in groups Derivatives thereof

Abstract

A fringe projection-based binocular three-dimensional surface measurement method using dual frequency supplementation, where two sets of high and low frequency fringe images are projected, and low frequency unambiguous phase unwrapping is implemented using a phase similarity measure of two phases as guidance and on the basis of a binocular stereo phase unwrapping method, and consequently the absolute depth of a measured object is recovered; subsequently, a fringe image of only a single frequency are used, and depth information measured at a previous moment serves as a basis to rapidly correct an outlier point cloud, and the execution of quick, accurate, and high quality three-dimensional shape measurement is ensured. Projection of an additional auxiliary fringe image is unnecessary, stable phase unwrapping can be implemented by means of three images, and imaging efficiency is increased by two-thirds; a feature of high and low frequency supplementation is utilized to implement highly precise three-dimensional information measurement of a dynamic scene using fewer camera angles.

IPC Classes  ?

• G01B 11/25 - Measuring arrangements characterised by the use of optical techniques for measuring contours or curvatures by projecting a pattern, e.g. moiré fringes, on the object

Abstract

Provided is a method for preparing copper azide and cuprous azide encapsulated by conductive metal-organic framework. The method uses a conductive copper-containing metal-organic framework material as a precursor, and completes the azidation of the precursor by means of a liquid-solid electrochemical azidation reaction. Copper azide and cuprous azide nanocrystals are highly uniformly embedded within a conductive framework, which may effectively avoid the agglomeration of copper azide and cuprous azide, and reduce static charge generated by friction, displacement, and the like. Meanwhile, the conductive framework may promote the effective transfer of charge, avoid the accumulation of static charge, and improve the electrostatic safety. In addition, the liquid-solid electrochemical azidation reaction has advantages such as being safe and efficient, having a short reaction time and having strong operability, and the preparation process is compatible with a MEMS process, which is beneficial for the application of copper azide and cuprous azide materials in micro devices.

IPC Classes  ?

• C01G 3/00 - Compounds of copper
• C06B 35/00 - Compositions containing a metal azide
• C25B 1/00 - Electrolytic production of inorganic compounds or non-metals
• C25B 9/65 - Means for supplying currentElectrode connectionsElectric inter-cell connections
• C25D 9/02 - Electrolytic coating other than with metals with organic materials

Abstract

Enterobacter sp. NJUST50 with aerobic activated sludge to the filter tank for treatment.

IPC Classes  ?

• C02F 3/30 - Aerobic and anaerobic processes
• C02F 1/52 - Treatment of water, waste water, or sewage by flocculation or precipitation of suspended impurities
• C02F 3/12 - Activated sludge processes
• C02F 3/34 - Biological treatment of water, waste water, or sewage characterised by the microorganisms used
• C02F 101/16 - Nitrogen compounds, e.g. ammonia
• C02F 101/20 - Heavy metals or heavy metal compounds
• C02F 101/34 - Organic compounds containing oxygen
• C02F 101/38 - Organic compounds containing nitrogen
• C02F 103/34 - Nature of the water, waste water, sewage or sludge to be treated from the chemical industry not provided for in groups

Abstract

Provided in the present application are an electric motor rotor, a drive electric motor and an electric vehicle, which relate to the technical field of electric motors. In the electric motor rotor, a rotor iron core provided with at least two protruding components is designed, at least two pieces of magnetic steel and at least two sheets are provided in a groove formed between the at least two protruding components, and a rotor pressing plate is then coupled to the rotor iron core, so that the plurality of pieces of magnetic steel and the plurality of sheets are each fixed in grooves in the rotor iron core, such that the reliability of the electric motor rotor in an axial direction is realized. Moreover, by superimposing an SMC sheet on the magnetic steel, the eddy current loss of a permanent magnet can be effectively reduced; and each magnetic steel is respectively provided in the groove formed between the protruding components, and the SMC sheet is added, such that the salient pole ratio can be increased, the magneto-resistance torque proportion can be increased, and the amount of the magnetic steel used can be reduced.

IPC Classes  ?

• H02K 1/27 - Rotor cores with permanent magnets
• H02K 1/30 - Means for mounting or fastening rotating magnetic parts on to, or to, the rotor structures using intermediate parts, e.g. spiders
• H02K 21/24 - Synchronous motors having permanent magnetsSynchronous generators having permanent magnets with stationary armatures and rotating magnets with magnets axially facing the armatures, e.g. hub-type cycle dynamos

Abstract

Disclosed in the present invention is a split-type multifunctional underwater arc welding power supply, comprising: a shore power supply module and an underwater power supply module. The shore power supply module comprises a shore power supply main circuit unit and a shore power supply control unit; the shore power supply main circuit unit comprises an input filter circuit, an IGBT full-bridge inverter circuit, an intermediate frequency transformer, and an output rectification filter circuit; the underwater power supply module comprises an underwater power supply main circuit unit and an underwater power supply control unit; the shore power supply module is provided on the shore; and the underwater power supply module is carried underwater. According to the present invention, an integrated arc welding power supply directly arranged on the shore in the prior art is designed in a split mode, such that real-time adjustment of the welding state during underwater welding can be achieved.

IPC Classes  ?

• H02M 3/335 - Conversion of DC power input into DC power output with intermediate conversion into AC by static converters using discharge tubes with control electrode or semiconductor devices with control electrode to produce the intermediate AC using devices of a triode or a transistor type requiring continuous application of a control signal using semiconductor devices only
• H02M 3/155 - Conversion of DC power input into DC power output without intermediate conversion into AC by static converters using discharge tubes with control electrode or semiconductor devices with control electrode using devices of a triode or transistor type requiring continuous application of a control signal using semiconductor devices only
• B23K 9/00 - Arc welding or cutting

Abstract

A single-shot differential phase contrast quantitative phase imaging method based on color multiplexing illumination. A color multiplexing illumination solution is used to realize single-shot differential phase contrast quantitative phase imaging. In the single-shot color multiplexing illumination solution, three illumination wavelengths of red, green, and blue are used to simultaneously illuminate a sample, and the information of the sample in multiple directions is converted into intensity information on different channels of a color image. By performing channel separation on this color image, the information about the sample at different spatial frequencies can be obtained. Such a color multiplexing illumination solution requires only one acquired image, thus enhancing the transfer response of the phase transfer function of single-shot differential phase contrast imaging in the entire frequency range, and achieving real-time dynamic quantitative phase imaging with a high contrast, a high resolution, and a high stability. In addition, an alternate illumination strategy is provided, so that a completely isotropic imaging resolution at the limit acquisition speed of the camera can be achieved.

IPC Classes  ?

• G06T 5/50 - Image enhancement or restoration using two or more images, e.g. averaging or subtraction
• G02B 21/36 - Microscopes arranged for photographic purposes or projection purposes

Abstract

The present invention relates to the technical field of electrocatalytic electrode preparation, and discloses a lead dioxide-carbon nanotube adsorptive electrochemical submicroelectrode, a preparation method, and use thereof. The electrochemical submicroelectrode according to the present invention comprises multiple layers of orderly arranged spherical lead dioxide submicroholes communicating with each other, where the carbon nanotubes are partially or completely inserted (in the form of twigs) in the lead dioxide hole and in the wall of the hole. The combined effect of adsorption and catalysis inside the submicroreactor effectively solves the problems of low catalytic efficiency and diffusion control associated with the conventional flat lead dioxide electrode, thus greatly improving the electrochemical catalytic performance of the electrode.

IPC Classes  ?

• C25D 9/04 - Electrolytic coating other than with metals with inorganic materials
• C02F 1/461 - Treatment of water, waste water, or sewage by electrochemical methods by electrolysis
• C25D 5/56 - Electroplating of non-metallic surfaces of plastics
• G01N 27/30 - Electrodes, e.g. test electrodesHalf-cells

Abstract

The present application provides an electric motor rotor, an electric motor and an electric vehicle. The electric motor rotor comprises an iron-core back yoke, a spoke and at least two permanent magnets, wherein the iron-core back yoke is of a disc shape, the iron-core back yoke comprises an axial direction and a circumferential direction, the at least two permanent magnets are fixedly connected to the iron-core back yoke and are successively distributed at intervals in the circumferential direction, the spoke is located between adjacent permanent magnets, and the reluctance of the spoke is smaller than the reluctance of air or the reluctance of the spoke is smaller than the reluctance of a permanent magnet material. In the present application, a quadrature-axis magnetic path is reserved between adjacent permanent magnets, and a spoke, the reluctance of which is less than the reluctance of air or the reluctance of a permanent magnet material, is arranged on the quadrature-axis magnetic path, that is, the spoke is arranged between adjacent permanent magnets, such that the effects of reducing the reluctance of the quadrature-axis magnetic path and increasing quadrature-axis inductance can be achieved, thereby increasing a reluctance torque, and improving the torque output capability of an electric motor.

IPC Classes  ?

• H02K 1/27 - Rotor cores with permanent magnets

Abstract

Disclosed is a device for selective oxidation of macromolecular organic pollutants using free radicals produced in a heterogeneous Fenton reaction. The device includes a heterogeneous Fenton reaction unit and an electrochemical cell. The heterogeneous Fenton reaction unit includes a reactor and an anion exchange membrane. The anion exchange membrane is disposed in the reactor and separates the reactor into a first chamber and a second chamber. The first chamber is filled with a catalyst and the wastewater to be treated; and the second chamber is filled with a dielectric material. The electrochemical cell is configured to supply an electric field to the reactor, so that organic acids generated by a heterogeneous Fenton reaction move from the first chamber into the second chamber.

IPC Classes  ?

• C02F 1/467 - Treatment of water, waste water, or sewage by electrochemical methods by electrolysis by electrochemical disinfection
• C02F 1/66 - Treatment of water, waste water, or sewage by neutralisationTreatment of water, waste water, or sewage pH adjustment
• C02F 1/461 - Treatment of water, waste water, or sewage by electrochemical methods by electrolysis

Abstract

Disclosed in the present invention is a digital speckle correlation rapid implementation method for extracting seed points on the basis of a grid. The method comprises: projecting, by using an infrared laser projector, a speckle image to an object to be measured, and photographing images by using binocular cameras; calibrating the cameras, and acquiring intrinsic and extrinsic parameters of the cameras, wherein the two cameras respectively perform photographing to obtain two-dimensional speckle images of the object, wherein one image is taken as a reference image, and the other one is taken as a target image; performing box selection by using a mouse callback function of an OpenCV library to obtain, from the reference image, a speckle region to be measured; dividing, by using a grid, said speckle region into eight blocks of the same size, and respectively setting a central point of each block as a seed point; obtaining, by using a digital image correlation algorithm, disparity values of points in speckle regions to be measured of the target image relative to the reference image; and converting the disparity values into three-dimensional data by using the calibrated intrinsic and extrinsic parameters of the cameras, and then performing 3D reconstruction. By means of the present invention, the calculation efficiency is significantly improved while ensuring the high measurement accuracy.

IPC Classes  ?

• G01B 11/00 - Measuring arrangements characterised by the use of optical techniques
• G01B 11/16 - Measuring arrangements characterised by the use of optical techniques for measuring the deformation in a solid, e.g. optical strain gauge
• G01B 11/24 - Measuring arrangements characterised by the use of optical techniques for measuring contours or curvatures
• G06K 9/62 - Methods or arrangements for recognition using electronic means
• G06T 7/80 - Analysis of captured images to determine intrinsic or extrinsic camera parameters, i.e. camera calibration

Abstract

A base material includes a base layer. The base layer includes a structured surface. The base layer includes a transition metal and a transition metal oxide, and a sum of the transition metal and a transition metal oxide accounts for at least 90 wt. % of the base layer. The transition metal oxide is concentratedly distributed on the structured surface. The base material is flexible in at least one direction, and has a bending angle of not less than 90° when being bent.

IPC Classes  ?

• B01J 23/755 - Nickel
• C02F 1/72 - Treatment of water, waste water, or sewage by oxidation
• B01J 21/04 - Alumina
• B01J 23/14 - Catalysts comprising metals or metal oxides or hydroxides, not provided for in group of germanium, tin or lead
• B01J 21/06 - Silicon, titanium, zirconium or hafniumOxides or hydroxides thereof
• B01J 35/02 - Solids
• B01J 35/00 - Catalysts, in general, characterised by their form or physical properties
• B01J 35/10 - Solids characterised by their surface properties or porosity
• B01J 37/06 - Washing
• B01J 37/34 - Irradiation by, or application of, electric, magnetic or wave energy, e.g. ultrasonic waves

Abstract

Provided are a video blind super-resolution reconstruction method and system based on self-supervised learning, the method comprising: firstly, determining, by using a self-supervised learning method, a blur kernel estimation network, an optical flow estimation network, a feature extraction network and a potential high-resolution intermediate frame reconstruction network; estimating a blur kernel by using a first-resolution video sequence on the basis of the blur kernel estimation network; then, determining a deformation matrix on the basis of the optical flow estimation network and the first-resolution video sequence; then extracting, by using the feature extraction network, features of each video frame in the first-resolution video sequence, and aligning the features of each video frame according to the deformation matrix; constructing second-resolution intermediate video frames by using the potential high-resolution intermediate frame reconstruction network and the aligned features of each video frame; and finally determining a second-resolution video on the basis of the second-resolution intermediate video frames. In the present invention, by means of the self-supervision method, artifacts and incorrect structure information can be effectively ameliorated during high-resolution video reconstruction, thereby further improving the visual effect.

IPC Classes  ?

• G06T 3/40 - Scaling of whole images or parts thereof, e.g. expanding or contracting

Abstract

A calibration method for fringe projection systems based on plane mirrors. Firstly, two mirrors are placed behind the tested object. Through the reflection of mirrors, the camera can image the measured object from the front and other two perspectives, so as to obtain 360-degree two-dimensional information of the measured object. The projector projects three sets of phase-shifting fringe patterns with frequencies of 1, 8, and 64. The camera captures the fringe image to obtain an absolute phase map with a frequency of 64 by using the phase-shifting method and the temporal phase unwrapping algorithm. By using the calibration parameters between the projector and the camera, the absolute phase map can be converted into three-dimensional information of the measured object. Then, the mirror calibration is realized by capturing a set of 3D feature point pairs, so that the 3D information from different perspectives is transformed into a unified world coordinate system. The calibration method does not need to artificially fix the feature pattern on plane mirrors, only needs to capture a set of 3D feature point pairs by the camera to directly realize the mirror calibration that it avoids the loss of measurement accuracy and realizes high-precision panoramic three-dimensional measurement.

IPC Classes  ?

• G01B 11/25 - Measuring arrangements characterised by the use of optical techniques for measuring contours or curvatures by projecting a pattern, e.g. moiré fringes, on the object

Abstract

An intrusion detection method and system for Internet of Vehicles based on Spark and combined deep learning are provided. The method includes the following steps: S1: setting up Spark distributed cluster; S2: initializing the Spark distributed cluster, constructing a convolutional neural network (CNN) and long short-term memory (LSTM) combined deep learning algorithm model, initializing parameters, and uploading collected data to a Hadoop distributed file system (HDFS); S3: reading the data from the HDFS for processing, and inputting the data to the CNN-LSTM combined deep learning algorithm model, for recognizing the data; and S4: dividing the data into multiple resilient distributed datasets (RDDs) for batch training with a preset number of iterations.

IPC Classes  ?

• H04L 9/40 - Network security protocols
• G06N 3/08 - Learning methods
• H04L 67/12 - Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks

Abstract

Disclosed is a temporal difference-based deep reinforcement learning algorithm, which is used to solve a hybrid flow-shop scheduling problem of a related parallel machines. The algorithm combines a convolutional neural network with TD learning in reinforcement learning, and performs behavior selection according to inputted state features so as to more fully comply with a scheduling decision-making process of an actual order response-type production and fabrication system. By means of transforming the scheduling problem into a multi-stage decision-making problem, a convolutional neural network model is used to fit a state value function, fabrication system processing state feature data is inputted into the model, a temporal difference method is used to train the model, a heuristic algorithm or an allocation rule is used as candidate scheduling decision behavior, and an optimal combined behavior strategy is selected for each scheduling decision by combining with a reinforcement learning reward and punishment mechanism. Compared to the prior art, the algorithm proposed by the present invention has the advantages of strong real-time performance and high flexibility.

IPC Classes  ?

• G06Q 10/06 - Resources, workflows, human or project managementEnterprise or organisation planningEnterprise or organisation modelling
• G06N 3/04 - Architecture, e.g. interconnection topology

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.

IPC Classes  ?

• G06V 40/20 - Movements or behaviour, e.g. gesture recognition
• G06V 10/82 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
• G06V 10/40 - Extraction of image or video features

Abstract

222, enhance the activity of plant resistance enzymes, and stimulate the production of phytoalexins of plants, thereby improving the resistance of the plants to pathogenic bacteria infection; therefore, the heteropoly oligosaccharide is suitable for preventing and treating diseases of various crops and plants caused by pathogenic bacteria.

IPC Classes  ?

• C08B 37/02 - DextranDerivatives thereof
• C12P 19/08 - Dextran
• C12P 1/00 - Preparation of compounds or compositions, not provided for in groups , by using microorganisms or enzymesGeneral processes for the preparation of compounds or compositions by using microorganisms or enzymes
• C12N 1/20 - BacteriaCulture media therefor
• C12P 19/04 - Polysaccharides, i.e. compounds containing more than five saccharide radicals attached to each other by glycosidic bonds
• A01N 43/16 - Biocides, pest repellants or attractants, or plant growth regulators containing heterocyclic compounds having rings with one or more oxygen or sulfur atoms as the only ring hetero atom with one hetero atom six-membered rings with oxygen as the ring hetero atom
• A01N 43/90 - Biocides, pest repellants or attractants, or plant growth regulators containing heterocyclic compounds having two or more relevant hetero rings, condensed among themselves or with a common carbocyclic ring system
• A01P 21/00 - Plant growth regulators
• C12R 1/41 - Rhizobium

Abstract

A group tourist route recommendation method based on an attention mechanism. The method comprises the following steps: acquiring moving traffic times between different scenic spots and an average visit time of each scenic spot; establishing a group preference model according to a user historical tourist route and a group historical tourist route; constructing a scenic spot utility function model according to the group preference model and a scenic spot heat model; and according to the scenic spot utility function model and group tourist route constraints, obtaining a tourist route that most matches group common preference and taking same as a tourist route that is finally recommended to a group. In the group tourist route recommendation method based on an attention mechanism, since an attention mechanism is used, an interaction relationship between group members can be learned, a weight is automatically distributed to each group member, more accurate group preference is obtained, and under a space-time constraint condition of a group tourist route, the group preference is maximized, thereby recommending a satisfying tourist route for the group members.

IPC Classes  ?

• G06F 16/9537 - Spatial or temporal dependent retrieval, e.g. spatiotemporal queries
• G06F 16/9535 - Search customisation based on user profiles and personalisation
• G06Q 50/14 - Travel agencies

Abstract

A flat-plate water-heating photovoltaic/thermal module and a production process thereof are disclosed. The flat-plate water-heating photovoltaic/thermal module includes a frame. The lower surface of the frame is provided with a heat preservation back plate. The upper surface of the frame is sequentially laminated with a glass cover plate, a first photovoltaic cell laminating adhesive, a photovoltaic cell slice, a second photovoltaic cell laminating adhesive, a transparent back plate, a third photovoltaic cell laminating adhesive and a heat absorbing component from top to bottom. A heat preservation cavity is formed between the heat preservation back plate and the heat absorption part.

IPC Classes  ?

• F24S 80/58 - Transparent coveringsElements for transmitting incoming solar rays and preventing outgoing heat radiation characterised by their mountings or fixing means
• H02S 40/42 - Cooling means
• H02S 40/44 - Means to utilise heat energy, e.g. hybrid systems producing warm water and electricity at the same time
• F24S 25/60 - Fixation means, e.g. fasteners, specially adapted for supporting solar heat collector modules
• F24S 80/30 - Arrangements for connecting the fluid circuits of solar heat collectors with each other or with other components, e.g. pipe connectionsFluid distributing means, e.g. headers
• F24S 10/50 - Solar heat collectors using working fluids the working fluids being conveyed between plates
• F24S 80/52 - Transparent coveringsElements for transmitting incoming solar rays and preventing outgoing heat radiation characterised by the material
• F24S 20/00 - Solar heat collectors specially adapted for particular uses or environments

Abstract

The present invention discloses a miniaturized, low-cost, and multi-contrast unmarked microscopic imaging system. The imaging system is based on an inverted microscopic structure, a highly integrated optical system is designed by adopting a micro lens having a fixed focal length, and a complex optical system of a traditional microscope system is replaced, such that the whole microscope is highly integrated. The system uses a programmable LED array as an illumination light source; the LED array is controlled by a computer to display different illumination modes; six imaging functions of a bright field, a dark field, a rainbow dark field, Rheinberg optical dyeing, differential phase contrast, and quantitative phase imaging are achieved; and diversified unmarked imaging methods are provided for biological applications. The present invention provides a matching control system, which can realize system hardware control and algorithm execution and display, comprises functions such as illumination control, camera parameter adjustment, quantitative phase reconstruction recovery, two-dimensional/three-dimensional result display, and quantitative profile analysis, and can realize diversified information obtaining and analysis of unmarked samples.

IPC Classes  ?

• G02B 21/06 - Means for illuminating specimen
• G02B 21/10 - Condensers affording dark-field illumination
• G02B 21/12 - Condensers affording bright-field illumination
• G02B 21/14 - Condensers affording illumination for phase-contrast observation
• G01N 21/41 - RefractivityPhase-affecting properties, e.g. optical path length

Abstract

Disclosed is an end-to-end speckle projection three-dimensional measurement method based on deep learning. The method comprises: first using a projector for projection and a binocular camera for synchronously collecting a speckle pattern; performing stereo correction on the speckle pattern, inputting the pattern into a stereo matching network, and a feature extraction sub-network based on a shared weight processing the speckle pattern obtain a series of low-resolution three-dimensional feature tensors; inputting the feature tensors into a salient object detection sub-network for detecting foreground information in the speckle pattern to generate a full-resolution effective mask; generating a four-dimensional matching cost body by means of the feature tensors of two viewing angles according to a candidate disparity range, achieving cost aggregation by means of a series of three-dimensional convolutional layer filtering, and obtaining an initial disparity map by means of disparity regression; and obtaining a final disparity map by combining the effective mask and the initial disparity map to achieve single-frame robust absolute three-dimensional surface contouring. The present invention can achieve single-frame robust absolute three-dimensional surface contouring simply by projecting a speckle pattern.

IPC Classes  ?

• G06T 7/55 - Depth or shape recovery from multiple images
• G06N 3/04 - Architecture, e.g. interconnection topology

Abstract

2, and meanwhile, the efficiency of COD removal by electro-Fenton oxidation is effectively improved. Further, by connecting a pH adjusting tank with the electrocatalytic Fenton oxidation-electrochemical oxidation coupling apparatus in series, a coupling treatment process with near-zero production of iron sludge is realized.

IPC Classes  ?

• C02F 9/00 - Multistage treatment of water, waste water or sewage
• C02F 1/461 - Treatment of water, waste water, or sewage by electrochemical methods by electrolysis
• C02F 1/467 - Treatment of water, waste water, or sewage by electrochemical methods by electrolysis by electrochemical disinfection
• C02F 1/66 - Treatment of water, waste water, or sewage by neutralisationTreatment of water, waste water, or sewage pH adjustment
• C02F 101/34 - Organic compounds containing oxygen
• C02F 101/38 - Organic compounds containing nitrogen

Abstract

A method for the bio-enhanced treatment of refractory organic pollutants based on photo-excited holes as electron acceptors, comprising the following steps: 1) placing a composite semiconductor @ carrier material in a reactor, and introducing wastewater into the reactor inoculated with anaerobic sludge so that the composite semiconductor @ carrier material is immersed in the wastewater, the composite semiconductor @ carrier material comprising a conductive carrier and a composite semiconductor material loaded on the conductive carrier; 2) acclimating and culturing the anaerobic sludge for a period of time so that a biofilm is loaded on the surface of the composite semiconductor material to construct a photo-excited hole-enhanced bioreactor; and 3) using the reactor to treat refractory contaminants in the wastewater under illumination conditions. The present method couples semiconductor photocatalysis technology with biological treatment technology, and uses the synergistic reaction of the semiconductor material and the microorganisms to strengthen the enhanced degradation of organic pollutants in the wastewater, greatly increasing the degradation efficiency.

IPC Classes  ?

• C02F 3/12 - Activated sludge processes
• C02F 101/30 - Organic compounds
• C02F 101/38 - Organic compounds containing nitrogen
• C02F 101/36 - Organic compounds containing halogen
• C02F 1/30 - Treatment of water, waste water, or sewage by irradiation

Abstract

A biological enhancement treatment process for lithium battery production wastewater, comprising the following steps: 1) introducing wastewater into a hydrolysis acidification tank, and adding an Enterobacter sp. NJUST50 strain and activated sludge to the hydrolytic acidification tank for a hydrolytic acidification treatment, wherein the deposit number of the strain is CCTCC NO: M2019128; and 2) introducing the effluent into an anaerobic reaction tank, and adding the Enterobacter sp. NJUST50 and anaerobic activated sludge for an anaerobic reaction treatment; 3) introducing the effluent into an aerobiotic reaction tank, and adding the Enterobacter sp. NJUST50 and an aerobiotic activated sludge for an aerobiotic treatment; 4) introducing the effluent into an anaerobic filter tank, and adding the Enterobacter sp. NJUST50 and anaerobic activated sludge into the filter tank for a treatment; and 5) introducing the effluent into an aeration biological filter tank, and adding a sludge mixture of the Enterobacter sp. NJUST50 and aerobiotic activated sludge into the filter tank. The combined processing method provided thereby effectively reduces costs and improves the system stability, while also achieving efficient biodegradation.

IPC Classes  ?

• C02F 3/30 - Aerobic and anaerobic processes
• C02F 3/12 - Activated sludge processes
• C02F 103/34 - Nature of the water, waste water, sewage or sludge to be treated from the chemical industry not provided for in groups
• C02F 103/38 - Polymers
• C02F 101/34 - Organic compounds containing oxygen
• C02F 101/16 - Nitrogen compounds, e.g. ammonia

Abstract

A progressive feature fusion-based image smog removal method and system. The method comprises: acquiring a smoggy image to be processed (100); performing primary smog removal on the smoggy image to be processed by using a first deep convolutional neural network model to obtain a sample image (200); obtaining a fusion feature corresponding to the smoggy image to be processed by using a progressive feature fusion method on the basis of a feature extraction network model and according to the smoggy image to be processed and the sample image (300); and performing secondary smog removal on the fusion feature by using a second deep convolutional neural network model to obtain a clear image (400).

IPC Classes  ?

• G06T 5/00 - Image enhancement or restoration

Abstract

A microscopic imaging method of phase contrast (PC) and differential interference contrast (DIC) based on the transport of intensity equation (TIE) includes capturing three intensity images along the optical axis; solving the TIE by deconvolution to obtain the quantitative phase; obtaining the intensity image under the DIC imaging mode according to the DIC imaging principle; and obtaining the corresponding phase image of PC imaging mode according to the PC imaging principle. The method can endow the bright-field microscope with the ability to realize PC and DIC imaging without complex modification of the traditional bright-field microscope. In addition, it has the same imaging performance as the phase contrast microscope and differential interference contrast microscope, which are expensive, complex-structure, and has strict environmental conditions.

IPC Classes  ?

• G02B 21/36 - Microscopes arranged for photographic purposes or projection purposes
• G02B 27/12 - Beam splitting or combining systems operating by refraction only
• H04N 5/225 - Television cameras

Abstract

A weak supervision video behavior detection method and system based on iterative learning. The method comprises: extracting spatial-temporal features of a video that includes an action behavior; constructing a neural network model group; training a first neural network model according to a real category label of the video, a category 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 real category label of the video, a time sequence pseudo label output by the current neural network model, a category 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 a video to be detected according to a neural network model corresponding to the highest detection accuracy value. The next neural network model is trained according to time sequence pseudo label information output by the current neural network model, such that a category activation sequence that has been learnt by the neural network model is more accurate, and an action in the video can be accurately detected.

IPC Classes  ?

• G06K 9/00 - Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints

Abstract

Disclosed are a travel package recommendation method based on a multi-view attention mechanism. A unified representation of a travel package is learned by means of deep learning technology, and a preference representation of a user is learned according to long-term and short-term click stream data of an online travel user to generate a recommendation. The method includes travel package encoding and user preference encoding. In a travel package encoding module, important words and views are selected from attributes of the travel package by using attention networks at a word level and a view level, so as to learn a unified travel package representation; and in a user preference encoding module, the dynamic evolution of a user preference is learned by means of a recurrent neural network (RNN) with an attention mechanism at a travel package level. Further provided is a gate structure fusion method, which is used for integrating long-term and short-term preferences of a user in order to learn a representation of the user. By means of the travel package recommendation method based on a multi-view attention mechanism in the present invention, useful information in a negative sample can be effectively mined, and the computing costs of model training can be reduced.

IPC Classes  ?

• G06Q 30/06 - Buying, selling or leasing transactions

Abstract

Disclosed in the present invention is a driving fatigue detection method combining a pseudo 3D (P3D) convolutional neural network and an attention mechanism, comprising: 1) extracting a video frame sequence from a driving video and processing the video frame sequence; 2) adopting a P3D convolution module to perform temporal-spatial feature learning; 3) constructing a P3D-Attention module, and applying attention to a channel and a feature map by using the attention mechanism; and 4) replacing a 3D global average pooling layer with a 2D global average pooling layer to obtain a feature having a higher expression capability, and performing classification by using a softmax classification layer. According to the present invention, a yawn, a blink, and a head characteristic motion can be analyzed, and a yawning behavior and a speaking behavior motion can be well distinguished; three states, i.e., alert, low alertness, and drowsiness, are effectively distinguished, so that the prediction performance for a fatigue driving behavior is improved.

IPC Classes  ?

• G06K 9/00 - Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
• G06K 9/62 - Methods or arrangements for recognition using electronic means
• G06N 3/04 - Architecture, e.g. interconnection topology
• G06N 3/08 - Learning methods

Abstract

The present invention discloses a three-dimensional diffraction tomography microscopy imaging method based on LED array coded illumination. Firstly, acquiring the raw intensity images, three sets of intensity image stacks are acquired at different out-of-focus positions by moving the stage or using electrically tunable lens. And then, after acquiring the intensity image stacks of the object to be measured at different out-of-focus positions, the three-dimensional phase transfer function of the microscopy imaging system with arbitrary shape illumination is derived. Further, the three-dimensional phase transfer function of the microscopic system under circular and annular illumination with different coherence coefficients is obtained as well, and the three-dimensional quantitative refractive index is reconstructed by inverse Fourier transform of the three-dimensional scattering potential function. The scattering potential function is converted into the refractive index distribution. Thus, the quantitative three-dimensional refractive index distribution of the test object is obtained. The invention realizes high-resolution and high signal-to-noise ratio 3D diffraction tomography microscopic imaging of cells, tiny biological tissues and other samples.

IPC Classes  ?

• G01N 15/14 - Optical investigation techniques, e.g. flow cytometry

Abstract

The present invention relates to a MEMS device (100, 200, 400, 500, 600) comprising: at least one resonating element (101, 401, 501, 601) and a vibration-insulating plate (102, 402, 502, 602) centrally housing the at least one resonating element (101, 401, 501, 601). The vibration- insulating plate (102, 402, 502, 602) comprises a planar periodic structure (103, 403, 503, 603) surrounding the at least one resonating element (101, 401, 501, 601). The planar periodic structure (103, 403, 503, 603) comprises a plurality of adjacent unit cells (104, 404, 504, 604; 300), each unit cell (104, 404, 504, 604; 300) comprising a 10 respective movable mass element (301) suspended by spring elements (302).

IPC Classes  ?

• B81B 7/00 - Microstructural systems
• H03H 1/00 - Constructional details of impedance networks whose electrical mode of operation is not specified or applicable to more than one type of network
• F16F 1/00 - Springs

Abstract

Disclosed in the present invention are a character offset detection method and system. The method comprises: obtaining a text image; performing character separation on the basis of the text image to obtain a character text area; calculating a central point of each rectangular box in the character text area to obtain a central point set; determining an optimal fitting curve on the basis of the central point set; and analyzing character offset on the basis of the optimal fitting curve to obtain an offset result. According to the present invention, character offset detection is realized on the basis of curve fitting, and the detection accuracy is improved.

IPC Classes  ?

• G06K 9/34 - Segmentation of touching or overlapping patterns in the image field

Abstract

The invention discloses a deep learning-based temporal phase unwrapping method for fringe projection profilometry. First, four sets of three-step phase-shifting fringe patterns with different frequencies (including 1, 8, 32, and 64) are projected to the tested objects. The three-step phase-shifting fringe images acquired by the camera are processed to obtain the wrapped phase map using a three-step phase-shifting algorithm. Then, a multi-frequency temporal phase unwrapping (MF-TPU) algorithm is used to unwrap the wrapped phase map to obtain a fringe order map of the high-frequency phase with 64 periods. A residual convolutional neural network is built, and its input data are set to be the wrapped phase maps with frequencies of 1 and 64, and the output data are set to be the fringe order map of the high-frequency phase with 64 periods. Finally, the training dataset and the validation dataset are built to train and validate the network. The network makes predictions on the test dataset to output the fringe order map of the high-frequency phase with 64 periods. The invention exploits a deep learning method to unwrap a wrapped phase map with a frequency of 64 using a wrapped phase map with a frequency of 1 and obtain an absolute phase map with fewer phase errors and higher accuracy.

IPC Classes  ?

• G01B 11/25 - Measuring arrangements characterised by the use of optical techniques for measuring contours or curvatures by projecting a pattern, e.g. moiré fringes, on the object
• G06N 3/04 - Architecture, e.g. interconnection topology
• G06N 3/08 - Learning methods
• G06N 3/049 - Temporal neural networks, e.g. delay elements, oscillating neurons or pulsed inputs

Abstract

obj of the objective lens. The illumination intensity distribution varies with the cosine of the illumination angle, and it can be expressed as S(θ)=cos(θ). This patent effectively compensates for the frequency loss of phase transfer, not only the high-frequency responses of PTF are enhanced, but also the transfer responses of low-frequency phase information is significantly improved. As a result, the optimal illumination scheme ensures the correctness and achieves high resolution phase reconstruction, while the number of illuminations is reduced to a minimum of two, which greatly increases the imaging speed, allowing for real-time dynamic, high-correctness, high-resolution phase imaging results.

IPC Classes  ?

• G02B 21/14 - Condensers affording illumination for phase-contrast observation
• G02B 21/36 - Microscopes arranged for photographic purposes or projection purposes
• H04N 5/232 - Devices for controlling television cameras, e.g. remote control
• H04N 5/235 - Circuitry for compensating for variation in the brightness of the object
• G06T 7/00 - Image analysis

Abstract

Disclosed are a traffic video background modelling method and system. The method comprises the following steps: 1) performing graying processing on an original video frame; 2) extracting, by means of an inter-frame difference method, foreground areas of adjacent frames to determine a background area; 3) determining a pixel value of each position in the background area by means of a statistical histogram method; 4) performing, in a loop, the first three steps in a sequence of N frames of video images to reconstruct a background image; and 5) updating the background by using a "first out and last in" updating policy. The system comprises the following modules: a video collection module for providing traffic video stream information; a method integration module for encapsulating a background modelling method; a computing module for executing program functions and processing data; a storage module for storing an application program, source data and processing results; and a display module for displaying input and output image information. The method and system are easily implemented, are applied to an intelligent monitoring system so that a clean background image can be extracted, and can effectively solve the problem of the incomplete extraction of a traffic background when vehicles move slowly.

IPC Classes  ?

• G06K 9/00 - Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
• G06T 7/254 - Analysis of motion involving subtraction of images

Abstract

The present invention relates to the technical field of electro-catalytic electrode preparation and provides a lead dioxide-carbon nanotube adsorptive submicron electrochemical reactor as well as a preparation method therefor and an application thereof. The submicron electrochemical reactor according to the present invention consists of a plurality of layers of submicron lead dioxide spherical pore cavities which are arranged in order, the pore cavities are in communication with one another, and carbon nanotubes are partially or completely embedded (branched) in the lead dioxide pore cavities and on the pore walls of the lead dioxide pore cavities. The submicron lead dioxide pore cavities greatly increase the electrochemical active area of the electrode, and the narrow pore cavity size increases the local concentration of hydroxyl free radicals in the pore cavities. The introduction of the carbon nanotubes provides a large number of adsorption sites for the electrode. The active adsorption effect of the surface of the electrode on pollutants in a body solution is remarkably enhanced. The problems of low catalytic efficiency, diffusion control and the like of a traditional flat plate lead dioxide electrode are effectively solved by means of the adsorption-catalysis synergistic effect in the submicron reactor, thereby greatly improving the electrochemical catalytic performance of the electrode.

IPC Classes  ?

• C02F 1/461 - Treatment of water, waste water, or sewage by electrochemical methods by electrolysis
• C02F 1/469 - Treatment of water, waste water, or sewage by electrochemical methods by electrochemical separation, e.g. by electro-osmosis, electrodialysis, electrophoresis
• C25D 5/56 - Electroplating of non-metallic surfaces of plastics
• C25D 9/04 - Electrolytic coating other than with metals with inorganic materials

Abstract

A parking AGV route planning method based on an improved ant colony algorithm. The method comprises: 1) building a model of a parking environment; 2) initializing system parameters; 3) improving a pheromone update policy; 4) improving heuristic information intensity; and 5) applying the improved ant colony algorithm to plan a route for a parking AGV. By means of the method, a time-optimal route from a starting point to a target point is provided for searching for the parking AGV, thereby ensuring that an AGV system accurately and rapidly completes vehicle storage and pick-up and parking tasks in a relatively short time.

IPC Classes  ?

• G01C 21/34 - Route searchingRoute guidance
• G05D 1/02 - Control of position or course in two dimensions

Abstract

Disclosed is a single-frame stripe analysis method based on a multi-scale generative adversarial neural network. The method comprises: constructing a multi-scale generative adversarial neural network model; constructing a comprehensive loss function L of the multi-scale generative adversarial neural network model; acquiring training data of the multi-scale generative adversarial neural network, and training the multi-scale generative adversarial neural network by using the training data; and inputting a stripe image to be measured into a trained multi-scale image generator to obtain a corresponding sine term, cosine term, and modulation degree graph, and calculating a phase by using an actan function. After the neural network in the present invention is trained, complex calculation parameters do not need to be manually set in the calculation process, and operation is easier and more convenient. Because the input of the neural network is a single stripe image, the present invention provides an efficient and high-precision phase calculation method for stripe analysis of a moving object.

IPC Classes  ?

• G06N 3/04 - Architecture, e.g. interconnection topology

Abstract

An electromagnetic loading system for forming a metal jet. A device capable of generating current is adopted as an input energy source. The current generating device generates strong current, and the strong current flows into a metal conical rod (1) by means of a current input disc (6) and flows out of a current output disc (7) after passing through a connecting disc (2) and a backflow rod (3). When the current flows through a circular gradually-expanding metal cover (104), the circular gradually-expanding metal cover (104) collapses from being subjected to the action of electromagnetic force converging towards the axial direction, and a high-speed, high-pressure metal jet is formed and has strong penetration capabilities. The electromagnetic loading system for forming a metal jet adopts a backflow structure, so that the resistance and the inductance of a load can be effectively reduced, the energy dissipation in the loading process is reduced, and the energy utilization rate is improved.

IPC Classes  ?

• F42B 12/10 - Projectiles, missiles or mines characterised by the warhead, the intended effect, or the material characterised by the warhead or the intended effect of armour-piercing type with shaped or hollow charge
• E21B 43/117 - Shaped-charge perforators