2370results about How to "Resolve interference" patented technology

The invention relates to a method for relationship classification with an LSTM and CNN joint model based on location. The method includes the steps of (1) preprocessing data; (2) training word vectors; (3) extracting location vectors; acquiring the location vector feature and high-dimensional location feature vector of each word in a training set, cascading the word vector of each word with the high-dimensional location feature vector thereof to obtain a joint feature; (4) building a model for a specific task; encoding contextual information and semantic information of entities by use of bidirectional LSTM; outputting the vector of the location corresponding to the marked entities, inputting the output to CNN, outputting two entity nouns and their contextual information and relational wordinformation, and inputting the entity nouns and their contextual information and relational word information into a classifier for classification; (5) training the model by use of a loss function. The method does not need to manually extract any features, the joint model does not need to use additional natural language processing tools to preprocess the data, the algorithm is simple and clear, and the best effect at present is achieved.

The invention discloses a transmitting method and device for a downlink control channel. The method comprises the steps of: sending a first signalling to user equipment (UE) by a base station, and informing the UE of whether to remove partial resource elements (REs) in a control domain; and when the first signalling indicates to remove the partial REs in the control domain, mapping the downlink control channel to a physical resource by the base station according to the control domain in which the partial REs are removed, and sending to the UE. According to the invention, the demodulating performance of the UE to the downlink control channel can be increased.

The invention discloses a moving object detection and tracking method. The method comprises the following steps: firstly, obtaining a frame image from a video sequence, converting the image into a gray scale image, and filtering and denoising are performed; then, the moving target region is obtained by using three-frame difference method, and the hole in the difference image is filled by morphological filter closure operation; the pixel points with non-zero gray value in the image after morphological filter closure operation are calculated by optical flow calculation, and the moving target isextracted; then the Kalman filtering algorithm is used to predict the centroid position of the moving object in the current frame image, the predicted value is compared with the centroid position tracked by a Camshift algorithm, and the centroid coordinates of the moving object are determined by the comparison results, and the size and position of the search window are determined when searching the next frame image; the model is updated to get the next frame image, the whole tracking process is repeated, and finally target tracking is achieved. The invention reduces the error of moving targetdetection and tracking, and improves the accuracy.

The invention discloses an outdoor blind guiding robot based on a global position system (GPS), general packet radio service (GPRS) and a radio frequency identification devices (RFID) and a navigational positioning method. The outdoor blind guiding robot comprises an outdoor blind guiding robot body and a remote service platform, wherein the outdoor blind guiding robot body comprises a vehicle body and a navigation handle, and the vehicle body is sequentially divided into four layers from bottom to top. The navigational positioning method includes that the GPS and an RFID module are adopted to position blind persons and broadcast position navigation information through voices; a GPRS module is adopted to achieve two-way transmission of data between the blind guiding robot and family members or the remote service platform, and the blind persons are monitored and are remotely guided to advance; when the blind persons have accidents, voice help calling can be performed by the GPRS module to the remote service platform; and the image recognition technology is adopted to recognize manual navigation road signs and friendly tracks on the roads so as to ensure accuracy and safety of routes. The outdoor blind guiding robot and the navigational positioning method solve the outdoor traveling problem of the blind persons.

An embodiment of the invention provides a signaling transport method. The signaling transport method includes receiving an up data frame transmitted by user equipment (UE), and according to whether the up data frame is received correctly, determining feeding back acknowledgement or negative acknowledgement (ACK/NACK) information to the UE; sending down control information (DCI) to the UE on a physical down control channel (PDCCH) or an enhanced physical down control channel (ePDCCH), wherein the DCI comprises a response information field of L bits, the response information field of L bits carries the ACK/NACK information, and L is an integer greater than 1. The signaling transport method relieves the problem of the physical information channel (PHICH) capacity tension due to the fact that a PHICH feeds back response information to the UE in a traditional mode, thereby improving the operation efficiency.

The invention discloses a method for processing interference. The method comprises the following steps that: a user equipment (UE) receives uplink control channel configuration information of a cell in a neighboring base station, which is transmitted by a service base station, wherein the uplink control channel configuration information comprises physical uplink control channel (PUCCH) configuration information, physical random access channel (PRACH) configuration information or channel detection reference symbol Sounding (RS) configuration information of the cell in the neighboring base station; and the UE determines the position of the service base station, which is interfered by the neighboring base station, according to the configuration information, and eliminates the interference according to the determined position of the interference. The invention discloses a device for eliminating the interference.

The invention relates to a target detection system and method based on self-adaption combined wave filtering and multilevel detection. The system includes a target detection module combing a moving target detection unit with an obvious target detection unit, a target identification module based on a convolutional neural network and a target tracking module based on combination decision and multi-channel image features; the target detection module, the target identification module and the target tracking module tightly cooperate with one another to constitute the stable and reliable target detection system together. System output includes detected candidate target position information, target classification information and position information of selected targets obtained by target tracking. The target detection system is achieved on a high-performance multi-core DSP chip and used for carrying out targeted optimization on the multi-core DSP chip, real-time target detection and target tracking are achieved, and a function of quickly identifying a target is achieved. The target detection system and method have the advantages of being high in practicability and feasibility and convenient to integrate into various solution schemes with target detection demands, and can achieve intelligent target detection, identification and tracking.

The present invention provides a method and device for avoiding D2D (Device-to-Device) communication interference, relates to the technical field of wireless communication, and solves the problem of interference on cellular transmission by D2D transmission. The method includes: obtaining, by user equipment, a D2D resource distribution approach and/or D2D power control information; and using, by the user equipment, the D2D resource distribution approach and/or D2D power control information for D2D transmission. The technical solution provided by the present invention is adapted to the network of the D2D technology, and achieves successful D2D transmission and uplink cellular transmission.

The invention discloses an electronic toll collection system and method. The system consists of a lane control computer and a road side unit, wherein the lane control computer is used for receiving information of the road side unit and performing corresponding treatment on the information; the road side unit comprises a wireless location module used for locating a vehicle-mounted e-tag, a toll transaction module used for communicating with the vehicle-mounted e-tag, acquiring billing and vehicle information of the vehicle-mounted e-tag and completing toll transaction, a video detection module used for detecting vehicle positions, capturing vehicle images and recognizing vehicle registration plates, and a control module used for realizing real-time position matching between position information, acquired by the wireless location module, of the vehicle-mounted e-tag and the vehicle position information detected by the video detection module and achieving corresponding process control. According to the invention, the toll transaction success rate can be effectively improved, car-following interference is reduced and toll dodging is prevented.

The invention discloses a rapid image defogging method based on an atmospheric physical scattering model and relates to an image restoration method. Based on the atmospheric physical scattering model under weather conditions of fog and haze given by Narasimhan and the like, an image can be restored through rapid image defogging processing only by inputting the single image. The rapid image defogging method comprises the following steps of: taking minimum values of RGB (Red Green Blue) components at each pixel point of a collected color fog-degraded image, defining a generated gray-scale image as Idc, then conducting gray-scale erosion and expansion for the gray-scale image Idc, defining a result a I'dc which is also a gray-scale image, obtaining ambient light A by taking a maximum value of pixel grey-scale in the I'dc, conducting rapid combined double-sideband filtering for the Idc and the I'dc to obtain an atmospheric curtain V (x, y), then calculating the transmittance distribution ratio t (x, y), substituting the estimated ambient light A, the atmospheric curtain V (x, y), and the transmittance t (x, y) into the atmospheric physical scattering model to obtain a preliminary restoration result, and then further calculating the reflectivity of the RGB components of a scene target to obtain a final restored image.

The invention discloses a high-load and high-precision pneumatic force measurement device and a measurement method. An internal balance tail-supported aerial vehicle model is adopted to execute pneumatic force test in the prior art, and rising force of an aerial vehicle perpendicularly works on a cantilever type tail rod, so that the model severely shakes during the test. The high-load and high-precision pneumatic force measurement device comprises a balance and a supporting rod, wherein the balance adopts an internal balance and is connected with a balance sleeve; the supporting rod is connected with an incidence angle sliding rail mechanism, a side sliding angle mechanism connected with the incidence angle sliding rail mechanism, and a mechanism control and data acquisition device; the supporting rod is adopted to be connected with the balance and support the model; the internal balance is adopted to measure the pneumatic force of the aerial vehicle model; the balance is externally connected with a sleeve structure and is also connected with a data acquisition device; the data acquisition system obtains the pneumatic force on the model and is connected with automatic control equipment; therefore, the pneumatic force on the model can be obtained. The high-load and high-precision pneumatic force measurement device and the measurement method are used for measurement in a pressurized high-density and low-speed wind tunnel.

The present invention is whole particle field measuring method and equipment based on laminar laser imaging and features that particles in test flow field are illuminated with orthogonal laminar laser beams and two CCD cameras are used to take the particle motion locus images both in the direction perpendicular to the flow field and in the direction parallel to the flow field separately. The equivalent diameters of particles are determined via particle image distinction and statistical analysis of covered pixels, and the particle motion speeds, including magnitudes and directions, are determined via the distinction and analysis of particle motion locus image, so as to obtain the size spectrum and speed field distribution of particles in the imaging plane. The present invention needs no addition of tracing particle, and may be used widely in the two-phase and multi-phase flow field measurement in various fields.

The invention provides a planning method and a planning system for community resources, aiming at solving the problem of avoiding the interference among communities as much as possible in the resource plan. The method comprises: aiming at the communities needing planning, calculating the interference weight of the interference communities of the community to each community; sequencing the communities needing planning according to the interference weight so as to obtain an interference community queue; and looking through all the communities in the interference community queue and selecting the community group according to an interference price, wherein the interference price and the interference weight are related to the sequence of the communities. According to the planning method and the planning system, the interference among communities is comprehensively taken into consider, therefore, the interference problem of adjacent communities is avoided, and the interference of the channels of a CRS (Central Reservation System) among the communities is effectively avoided, thereby optimizing the performance of a distributed system.

The invention discloses a permanent magnet synchronous motor speed composite control method based on a continuous terminal slip form technology. According to a vector control principle, a permanent magnet synchronous motor system is decoupled into a speed ring and a current ring which are controlled respectively. The speed ring is controlled by using the composite control method. A continuous terminal slip form controller serves as a feedback controller, the speed of a permanent magnet synchronous motor can be responded quickly in a whole adjusting process, and the problem of buffeting on slip form control is solved; a disturbance term of the speed ring is observed by a second-order limited time disturbance observer; and the second-order limited time disturbance observer which serves as a feedforward compensator has real-time observation and disturbance compensation functions. When errors are observed without disturbance, the revolving speed of the permanent magnet synchronous motor can reach reference revolving speed within a limited time; and when disturbance observation errors are bounded (img file= ' DDA0000581681490000011.TIF' wi= '35' he= '41'/), the revolving speed of the permanent magnet synchronous motor can reach a neighborhood of the reference revolving speed (img file= 'DDA0000581681490000012. TIF' wi= '50' he= '48'/). By the composite control method, the revolving speed of the permanent magnet synchronous motor can be adjusted effectively, and the adjusting speed and the robustness are high.

The invention discloses an audio processing method for a bone conduction headset, the bone conduction headset and an audio playback device based on the bone conduction headset. The bone conduction headset comprises a human bone and tissue model modeling module, a digital pre-corrector, a delay estimation unit, a digital-to-analog converter, an analog-digital converter, a first low-pass filter, a second low-pass filter, an audio amplifier, an audio driving amplifier, at least one bone conduction microphone, and at least one bone conduction vibrator. In the method, human bone and tissue attenuation effect information of different users is detected in real time; a compensating transfer function is generated based on the attenuation effect information; and an input audio signal is subjected to digital pre-correction via the compensating transfer function, and then the processed input audio signal is transmitted in human bones and tissues. Through adoption of the method, a problem that experience of the bone conduction headset is different caused by different tissue thickness of the different users is solved.

The invention provides an ultralow-power consumption smart equipment rapid network accessing method and a smart home system. The method comprises steps that a to-be-accessed new smart device sends a broadcast packet; a mobile terminal selects a networking gateway to be connected with the to-be-accessed new smart device, when the broadcast packet is scanned, immediate connection is carried out and related network accessing information of the new device is obtained, and the mobile terminal sends a device adding command to a cloud server; the cloud server requests network opening to the networking gateway, when the verification is successful, the networking gateway actively opens the network and returns a unique network identifier ID to the cloud server; the new smart device performs identity verification; and if the verification is successful, the new smart device can access the network, otherwise, the new smart device cannot access the network. The advantages are that 1) the interference problem that multiple devices around access the network at the same time is solved, multiple new devices are allowed to access the network at the same time without mutual interference; 2) searching for the networking gateway is not required for accessing the network, so that the networking accessing is fast; and 3) the device achieves real-time online communication.

The embodiment of the invention discloses an anti-interference method and equipment of a ZigBee network. The method and equipment are used for intensifying the anti-interference performance of the ZigBee network so that communication reliability can be improved. The method includes the steps of detecting whether a network node in the ZigBee network is interfered by a WiFi channel, switching the network node to a first channel in a channel list which includes all channels in the ZigBee network if the network node is interfered, judging whether the current channel of the network node is available after the network node is switched to the first channel, judging whether the network node receives a command frame which is sent by a neighbor node of the network node and indicates that other channels are not available channels within first preset time if the current channel is the available channel, and broadcasting a channel selection frame on the current channel to the neighbor node of the network node through the network node if the command frame which indicates that other channels are not available channels is not received.

An omnibearing visual transducer of blind angle free type is prepared for setting catadioptric lens at top of transparent external cover, arranging an opening at bottom center of said external cover, setting said transparent external cover on support frame, arranging video camera head on focus point of catadioptric lens and setting said catadioptric lens and transparent external cover as well as video camera head to be on the same axle coaxially.

The invention relates to an ultrahigh-resolution agile SAR satellite sliding spotlight mode system parameter design method, is applicable to flexible realization of the ultrahigh-resolution imaging SAR satellite sliding spotlight mode system parameter design through whole satellite attitude, and belongs to the technical field of overall design of SAR satellites. According to the method, an accurate orbit, an earth model, system restriction factors, and imaging work characteristics of the sliding spotlight mode are fully considered, an ultrahigh-resolution agile SAR satellite sliding spotlight mode system parameter design method is provided, and an economic and high-efficiency realization method is provided for the ultrahigh-resolution satellite-borne SAR imaging; and the criterion of uniform-beam footprint ground slide speed is employed, ground aiming points of all moments within the whole imaging time are designed, parameters such as the attitude requirement and PRF at an instantaneous moment are calculated, and compared with the conventional method for calculating the parameters according to the mode far away from ground virtual aiming points, the method is higher in precision and imaging efficiency.

The invention discloses a wireless network networking method and belongs to the technical field of network networking. According to the wireless network networking method, the method that a network main node is used for establishing a network and slave nodes enter the network is adopted, wherein a concentrator is responsible for collecting data of data acquisition equipment, the main node is the center of the whole network and is responsible for establishing, maintaining and managing the network, and the slave nodes initiatively search for the network and enter the network. A wireless network system is responsible for carrying out transparent transmission on data of the concentrator or the data acquisition equipment. The wireless network networking method is stable and reliable, the anti-interference performance is high, path updating is carried out according to changes of wireless signals to make communication stable, and installation and maintenance are convenient.

The invention provides a synthetic aperture radar (SAR) image bionic recognition method based on sample generation and nuclear local feature fusion and belongs to the field of image processing technologies and SAR target recognition. According to the method, a super complete training sample set is firstly constructed for training to obtain geometry manifold, then a sample to be recognized is recognized, specifically, each sample is firstly subjected to image denoising by a K-SVD dictionary learning method, and object region extraction is achieved by means of an object centroid method; and feature extraction is performed respectively by combining local phase quantization (LPQ) and a Gabor filtering method, feature fusion is performed, finally, classification is performed by covering of high-dimensional geometry manifold, and recognition is performed by a bionic mode. According to the SAR image bionic recognition method based on sample generation and nuclear local feature fusion, inhibiting effects of image coherent noises are obvious, SAR image features can be effectively extracted, the problem of the unstable extracted features, which is caused by changes of attitude angles of SAR images, is solved, the recognition accuracy is high, and the method has good robustness.

The invention relates to a UAV (Unmanned Aerial Vehicle) man-machine interaction method based on binocular vision and deep learning. An embedded image processing platform and a binocular camera are carried on a UAV. The embedded image processing platform is connected to a flight controller through an interface. The UAV communicates with a ground station through the platform. The platform is provided with a Graphics Processing Unit (GPU), a convolutional neural network deep learning algorithm is run and parallel computing for an image is carried out during video capture of the camera. According to the invention, a convolutional neutral network is transplanted to the embedded platform with a dedicated GPU and the run speed becomes faster through parallel computing for speeding up the computation.

A multi-band antenna package structure includes a first redistribution layer; an integrated circuit layer, formed on the first redistribution layer, comprising at least one metal via, at least one metal pillar, an integrated circuit chip, and a molding layer, wherein the molding layer is used to fill openings formed by the metal via, the metal pillar and the integrated circuit chip which are disposed on the first redistribution layer, the metal via is electrically connected to one of the first metal patterns of the first redistribution layer; a second redistribution layer, formed on the integrated circuit layer; and a first antenna unit layer, comprising a first dielectric layer and third metal patterns formed in openings of the first dielectric layer, wherein at least one of the third metal patterns is electrically connected to one of the second metal patterns, and the third metal patterns form a first antenna unit.