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42results about How to "Reduce the difficulty of optimization" patented technology
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Weak supervision fine-grained image recognition method based on visual self-attention mechanism
ActiveCN111539469AImprove robustnessEnhanced Difficulty of OptimizationCharacter and pattern recognitionNeural architecturesFeature learningVisual perception
The invention discloses a weak supervision fine-grained image recognition method based on a visual self-attention mechanism. The method involves a student-model module, a teacher-model module and a classification-model module. The student-model and the teacher-model are combined through a Teacher-Student loop feedback mechanism based on Pairwise Approach sorting learning so as to form a self-attention region recommendation network, so that the relation between discriminative region positioning and fine-grained feature learning is enhanced, the discriminative region in the fine-grained image can still be accurately detected under the condition of lacking a target bounding box and a part marking point, and the recognition accuracy is promoted to be remarkably improved; meanwhile, a convolution layer is shared by the three modules, namely, the student-model, the teacher-model and the class-model, so that the model storage space is effectively compressed, the calculation cost is reduced, the method meets the real-time recognition task requirement, and the method is suitable for a large-scale real scene; and besides, a dynamic weight distribution mechanism is adopted in multi-task jointlearning to reduce the amount of artificially set hyper-parameters and enhance the robustness of the model, finally, the whole model is trained and learned in an end-to-end single-stage mode, and thenetwork optimization difficulty is reduced.
Owner:SOUTHEAST UNIV
Photovoltaic power prediction method based on deep convolution nerve network
ActiveCN108549929AImprove generalization abilityReduce the difficulty of optimizationForecastingNeural architecturesSupport vector machineNerve network
The invention discloses a photovoltaic power prediction method based on a deep convolution nerve network; the method comprises the following steps: using a variation modal decomposition algorithm to carry out modal decomposition for an obtained history photovoltaic power sequence, and decomposing the sequence into a plurality of frequency components and a remainder component; respectively arranging the components into data of a two dimensional format; using the frequency components of the two dimensional format as the input of a multichannel deep convolution nerve network model, predicting andoutputting a frequency component predicted value sum; using a single-channel deep convolution nerve network model to extract high order features of the remainder component in the two dimensional format, using the extracted high order features and meteorology data as the input of a support vector machine model, and predicting and outputting a remainder component predicted value; adding the frequency component predicted value sum with the remainder component predicted value, thus obtaining a photovoltaic power prediction result at a to-be-predicted moment. The method can obviously improve the photovoltaic power prediction precision, and can effectively guide the power grid in scheduling, thus ensuring the power system to stably and safely operate.
Owner:HOHAI UNIV
Improved particle swarm optimization-based mobile robot path planning method
InactiveCN107065876AIncrease diversityAvoid stagnationArtificial lifePosition/course control in two dimensionsArtificial intelligencePlanning method
The invention discloses an improved particle swarm optimization-based mobile robot path planning method. According to the method, a global optimal update strategy of disturbance is implemented in RDSAPSO (random-disturbance self-adaptive particle swarm optimization), small random disturbance is added to a global optimal position in a population, so that non-stagnation attributes in the RDSAPSO are obtained; an adaptive strategy is adopted to finely adjust three control parameters of particles in the RDSAPSO, so that global search capability and local search capability can be better balanced in the RDSAPSO, and a convergence guarantee parameter selection principle is provided for the RDSAPSO; and the constraint conditions of a path planning problem are solved through using a feasibility rule, and therefore, optimization difficulty can be decreased, and diversity can be decreased; and the developed RDSAPSO is utilized, so that an RDSAPSO-based path planning method framework is completed. With the method of the invention adopted, an effective method is provided for the path planning problem of a mobile robot.
Owner:NORTHWESTERN POLYTECHNICAL UNIV
Voice quality optimization method and device
ActiveCN105828356AMeet the continuityMeet needsWireless communicationBatch processingQuality optimization
The invention discloses a voice quality optimization method comprising the following steps: counting poor-quality cells; comprehensively analyzing the cause of each poor-quality cell based on a variety of data sources; clustering the causes of the poor-quality cells; and merging the poor-quality cells applicable to similar solutions based on the cause cluster, and carrying out batch-processing for the same cause. The invention further discloses a voice quality optimization device. By adopting the technical scheme of the invention, the problem that there is no systematic analysis means for traditional poor-quality problem processing and the efficiency is low is solved, poor-quality cells with voice quality problems in a mobile communication network can be counted out, the causes of the problems can be analyzed quickly and positioned accurately, a wireless network can be optimized quickly, and the voice quality of the mobile network is improved.
Owner:ZUNYI BRANCH OF CHINA MOBILE GRP GUIZHOU COMPANY
Combined X-band five-bit phase shifter based on active and inactive structures
The invention discloses a combined X-band five-bit phase shifter based on active and inactive structures, and mainly solves the problems of large gain error and low phase shift precision in the priorart. The phase shifter comprises filters (1), an active balun (3) and switches (4); multiple filters and switches are respectively provided and are alternately connected; the last switch is connectedwith an input end of the active balun; an output end of the active balun is connected with an orthogonal signal generator (2) and is used for generating positive and negative in-phase signals and positive and negative orthogonal signals; and an output end of the orthogonal signal generator is connected with a one-in-four circuit (5), and is used for selecting one path of signals from four paths ofsignals, namely the positive and negative in-phase signals and the positive and negative orthogonal signals to output, thereby implementing transformation of the signals among four quadrants. The phase shifter has the advantages of small gain error and high phase shift precision, and can be used in a radio-frequency integrated circuit in which a high-precision phase shifter is needed by a radio-frequency microwave phased array receiver.
Owner:XIDIAN UNIV
Self-shielding gradient coil of nuclear magnetic resonance spectrometer and design method thereof
The invention discloses a self-shielding gradient coil of a nuclear magnetic resonance spectrometer and a design method thereof. The invention is characterized in that, the self-shielding gradient coil comprises a main coil and a shielding coil which is coaxially arranged on the outer side of the main coil. The windings of the main coil are composed of a plurality of stages of main coil upper windings and main coil lower windings which are symmetrically arranged up and down. The centers of winding wire troughs, the circle radiuses of winding coils and turns per coil, corresponding to the maincoil upper windings and the main coil lower windings, are symmetrically arranged up and down in the one-to-one mode. The windings of the main coil are wound in the winding wire troughs and are arranged in a single-layer winding mode in the axial direction. Each stage of main coil winding corresponds to an independent driving current channel. According to the self-shielding gradient coil and the design method thereof, the series single-channel circuit design is changed into the matrix multi-channel circuit design, and the coil structure is simplified. The optimization difficulty of a target field is reduced. The probability that the actually generated gradient field is deformed and the linearity is not pure due to the winding translation and the interlayer dislocation is reduced.
Owner:ウーハン ジョンケ ニウジン マグネティック レゾナンス テクノロジー カンパニー リミテッド
Method and device for optimizing boiler based on least square support vector machine (LSSVM) combustion model
ActiveCN103150581AReduce the difficulty of optimizationImprove real-time performanceCharacter and pattern recognitionReference sampleCombustion
The invention provides a method for optimizing a boiler based on a least square support vector machine (LSSVM) combustion model. The method comprises the following steps of: acquiring an initial training sample set; acquiring LSSVM model parameters and a first characteristic matrix; acquiring a sample closest to a check sample from the training sample set as a reference sample, and performing row and column exchange on the first characteristic matrix to obtain a second characteristic matrix; calculating the inverse of the second characteristic matrix; acquiring partitioning parameters of the second characteristic matrix; acquiring a third characteristic matrix of an LSSVM model; calculating the inverse of the third characteristic matrix; acquiring the corrected LSSVM model parameters; assigning the third characteristic matrix to the first characteristic matrix, and assigning the inverse of the third characteristic matrix to the inverse of the first characteristic matrix; acquiring the combustion efficiency of the boiler by using the corrected LSSVM model; and performing combustion optimal control on a corrected combustion model. The invention also provides a device for optimizing the boiler based on the LSSVM combustion model. By the method and the device, the optimization difficulty of the combustion of the boiler in a power station can be reduced, and the real-time performance of optimization is improved.
Owner:ELECTRIC POWER RES INST OF GUANGDONG POWER GRID
Cell apoptosis algorithm-based dynamic recovery system and method of power distribution network
ActiveCN108923428AReduce the difficulty of optimizationSolve the problem that is prone to the curse of dimensionalityBiomolecular computersAc network circuit arrangementsPower gridComputer science
The invention provides a cell apoptosis algorithm-based dynamic recovery system and method of a power distribution network. The cell apoptosis algorithm-based dynamic recovery system comprises an information acquisition agent module, a load agent module, a repair team agent module, a data processing agent module, a restorability estimation agent module, a candidate restoring tree agent module, a synergic agent module and a control center agent module. According to the cell physiological property, the network reconstitution and repair problem is decomposed to a plurality of continuous steps, the optimization difficulty of each step is reduced, and the problem of optimization of a traditional method for many times to easily cause dimension difficulty is solved; according to a restorability estimation value, a recovery mode of a candidate restoring tree at each time frame is determined, a recovery target which is the more important to the stage is determined according to each mode, and the problems of optimizing complexity of the recovery process and long recovery time caused by multi-target optimizing are simplified during the recovery process; and fault recovery and repair are coordinated to consider a recovery scheme, the recovery efficiency is improved, the economic loss is reduced, and the cell apoptosis algorithm-based dynamic recovery system is applicable to the problem oflarge-area power failure of a multi-fault large-power grid system.
Owner:NORTHEASTERN UNIV
Tramcar timing energy-saving operation optimization method and system based on double-layer algorithm
ActiveCN111680413ALittle changeFull-line timing energy-saving optimization effect is goodData processing applicationsDesign optimisation/simulationCapacitanceIn vehicle
The invention discloses a tramcar timing energy-saving operation optimization method and a tramcar timing energy-saving operation optimization system based on a double-layer algorithm. The tramcar timing energy-saving operation optimization method comprises the following steps that a tramcar kinematics model, a vehicle-mounted super capacitor bank model and an energy consumption calculation modelare established; a speed curve is combined and generated according to the speed command given value; tramcar single-interval operation optimization is carried out based on a multi-objective genetic algorithm, and a Pareto leading edge curve about time-energy consumption is generated; whole-line timing energy-saving operation optimization of the tramcar is carried out based on a dynamic programmingalgorithm, and the total operation energy consumption is reduced on the basis that the total operation time of the whole line is not changed. According to the method, the running energy consumption of the train section can be effectively reduced, the optimal configuration of the train running timetable can be realized, and the train running cost is reduced.
Owner:NANJING UNIV OF SCI & TECH
Control arm assembly
ActiveCN104149568AReduce swing angleReduce the difficulty of optimizationResilient suspensionsPivoted suspension armsVehicle frameStress conditions
The invention relates to a control arm assembly which is applied to a vehicle independent suspension structure. The control arm assembly comprises two connecting arms and three spherical hinge structures, the two connecting arms form a V shape, and the three spherical hinge structures are arranged on the end portions of the two connecting arms respectively. One end portions of the two connecting arms are together connected to the first spherical hinge structure of the three spherical hinge structures, the other end portions of the two connecting arms are connected to the second spherical hinge structure and the third spherical hinge structure of the three spherical hinge structures respectively, the first spherical hinge structure is used for being connected with an axle wheel edge steering knuckle of a vehicle, and the second spherical hinge structure and the third spherical hinge structure are used for being connected with a vehicle frame of the vehicle. The control arm assembly can avoid movement interference between tires and a suspension and the vehicle frame in the vertical jumping process and the steering process of the tires as much as possible, a longer control arm structure also can be adopted to reduce the tilt angle of the control arm when the tires jump, the optimization difficulty of the control arm is reduced, and the stress condition of the control arm is improved.
Owner:XUZHOU HEAVY MASCH CO LTD
Air route generation method and device, equipment and storage medium
ActiveCN112444248AImprove smoothnessImprove convenienceNavigational calculation instrumentsPosition/course control in three dimensionsLocal optimumSimulation
The embodiment of the invention discloses an air route generation method and device, equipment and a storage medium, and the air route generation method comprises the steps: obtaining waypoints set bya user and flight parameters of an unmanned plane, and sequentially connecting the waypoints through a straight line to obtain an initial air route; determining the flight speed of the waypoints in the initial route by taking a preset speed constraint curve, a target speed in the flight parameters and the maximum acceleration as constraints; and taking the target speed, the maximum acceleration and a preset route deviation value as constraints, and adopting a preset smoothing strategy to carry out nonlinear optimization on the initial route after the flight speed is determined to obtain a target route. According to the embodiment of the invention, the initial route after the waypoint flight speed is distributed is used as the initial value of nonlinear optimization so that the optimization difficulty is reduced, the optimization result is prevented from falling into local optimum, the target route with good smoothness and fitting degree can be obtained, and the efficiency and the effect of executing plant protection operation according to the target route are ensured.
Owner:GUANGZHOU XAIRCRAFT TECH CO LTD
Aircraft trajectory control method fused with Gaussian process
PendingCN114200959AEfficientReliablePosition/course control in three dimensionsData setFlight vehicle
The invention discloses an aircraft trajectory control method fused with a Gaussian process. The aircraft trajectory control method comprises the following three parts: three-dimensional data collection, Gaussian process modeling and model prediction control. According to the method, model predictive control is used as a master control algorithm, meanwhile, a Gaussian process is fused to predict the process of the next moment, the model predictive control fused with the Gaussian process is combined with the motion speed track of the four-rotor aircraft, and the method has certain high efficiency, accuracy and real-time performance. And the trajectory tracking error of the aircraft can be effectively reduced. According to the aircraft trajectory model predictive control method, the optimization difficulty in the model predictive control process is reduced by sampling the data set in the training sample, and the stability of model predictive control is improved.
Owner:XIAN UNIV OF TECH
Optical fiber probe and length-adjustable variable-focus optical fiber OCT device based on beam expanding
ActiveCN112426128AWith adjustable focus positionEnable high-resolution imagingSurgeryDiagnostics using spectroscopyHigh resolution imagingBeam source
The invention provides an optical fiber probe and a length-adjustable variable-focus optical fiber OCT device based on beam expanding. The OCT device comprises a broadband light source, a laser lightsource, a first coupler, a reference arm light path structure, a sample arm light path structure and a spectral analysis component; the broadband light source is used for emitting a source light beam,and the source light beam is divided into a first light beam and a second light beam by the first coupler; the laser light source is used for emitting pump light; the first light beam enters the reference arm light path structure, and the second light beam is coupled with the pump light emitted by the laser light source and enters the optical fiber probe of the sample arm light path structure, sothat the focus of the optical fiber OCT device is adjustable; and the spectral analysis component is used for receiving and analyzing the first light beam reflected back from the reference arm lightpath structure and the second light beam reflected back from the sample arm light path structure. The variable-focus optical fiber OCT device adopts an all-fiber probe structure as a sample arm, is small and exquisite, is easy to package, has the characteristic of adjustable focus, and can realize high-resolution imaging beyond the fixed depth-of-field range of a traditional probe.
Owner:FOSHAN UNIVERSITY
Boiler optimization method and device based on least squares support vector machine combustion model
ActiveCN103150581BReduce the difficulty of optimizationImprove real-time performanceCharacter and pattern recognitionReference sampleCombustion
The invention provides a method for optimizing a boiler based on a least square support vector machine (LSSVM) combustion model. The method comprises the following steps of: acquiring an initial training sample set; acquiring LSSVM model parameters and a first characteristic matrix; acquiring a sample closest to a check sample from the training sample set as a reference sample, and performing row and column exchange on the first characteristic matrix to obtain a second characteristic matrix; calculating the inverse of the second characteristic matrix; acquiring partitioning parameters of the second characteristic matrix; acquiring a third characteristic matrix of an LSSVM model; calculating the inverse of the third characteristic matrix; acquiring the corrected LSSVM model parameters; assigning the third characteristic matrix to the first characteristic matrix, and assigning the inverse of the third characteristic matrix to the inverse of the first characteristic matrix; acquiring the combustion efficiency of the boiler by using the corrected LSSVM model; and performing combustion optimal control on a corrected combustion model. The invention also provides a device for optimizing the boiler based on the LSSVM combustion model. By the method and the device, the optimization difficulty of the combustion of the boiler in a power station can be reduced, and the real-time performance of optimization is improved.
Owner:ELECTRIC POWER RES INST OF GUANGDONG POWER GRID
Horizon automatic interpretation method based on minimum seismic waveform unit classification
The invention provides ahorizon automatic interpretation method based on minimum seismic waveform unit classification. The horizon automatic interpretation method includes the steps that 1, seismic data of a target interval are subjected to continuous enhancement pretreatment; 2, coarse-mesh horizon interpretation is carried out on target horizon; 3, a preliminary interpretation result obtained inthe step 2 is used as a control point of horizon time, and top and bottom time windows containing a plurality of complete seismic waveforms are obtained by shifting upwards and downwards; 4, seismicdata in the time windows are divided into minimum waveform units; 5, characteristic values of the minimum seismic waveform units are extracted; 6, a minimum seismic waveform unit classification modelof a random forest is constructed; and 7, a horizon automatic interpretation result of the whole area is optimized. According to the horizon automatic interpretation method, the difficulty of optimizing a horizon automatic recognition algorithm is lowered, meanwhile professional constraints are imposed, the reliability of the horizon automatic interpretation result is effectively improved, and good application prospects are achieved.
Owner:CHINA PETROLEUM & CHEM CORP +1
Graph optimization method and mask preparation method
ActiveCN110119063AReduce widthIncrease widthOriginals for photomechanical treatmentGraphicsAlgorithm
The invention discloses a graph optimization method. The graph optimization method comprises the following steps: providing a to-be-optimized graph, wherein the to-be-optimized graph comprises a firstgraph and a second graph and the first graph and the second graph are different in size; carrying out OPC processing on a first graph with low adjustability; performing OPC processing on the second graph; and meanwhile, adaptively adjusting the first graph. Thus, the width of the final first graph is greater than the minimum size of the mask on the basis of ensuring that the final first graph isrelatively accurate, the condition that the width of the final first graph is close to the minimum size of the mask is avoided, and the graph optimization difficulty is also reduced. Therefore, the quality of the mask plate can be improved through the mask preparation.
Owner:SEMICON MFG INT (SHANGHAI) CORP +1
Multi-joint mechanism trajectory planning method, device, electronic equipment and storage medium
ActiveCN113043277BSolve the problem of joint angle exceeding the limitSolve the problem of over-limit angleProgramme-controlled manipulatorLinear motionSimulation
Owner:ZOOMLION HEAVY IND CO LTD
Spacecraft escape trajectory intelligent planning method
ActiveCN114415730AReduce the difficulty of optimizationImprove computing efficiencyInternal combustion piston enginesPosition/course control in three dimensionsTime domainEngineering
The invention discloses a spacecraft escape trajectory intelligent planning method, which comprises the steps of splitting a spacecraft long-period pursuit game problem into a plurality of short-period pursuit game sub-problems according to a rolling time domain strategy; in each short period, according to the spacecraft orbit state at the corresponding initial moment, a spacecraft pursuit problem optimization model is constructed, the optimal pursuit parameter for pursuit of the spacecraft is predicted and evaluated by using the completely trained deep neural network, and then an escape trajectory planning index function is updated according to the real-time orbit state and the predicted pursuit information. And obtaining the current optimal escape pulse maneuvering speed increment by using a sequential quadratic programming algorithm. The problems that in the prior art, solving is difficult, solving efficiency is low and result robustness is poor when the optimal escape strategy of the spacecraft pulse pursuit game problem is solved are solved.
Owner:NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
Neural network model optimization method based on class expansion learning
ActiveCN110796260AImprove optimization effectImprove the ability to distinguishMachine learningNeural architecturesData setEngineering
The invention discloses a neural network model optimization method based on class expansion learning. The method specifically comprises the following steps: obtaining a data set which is used for training and contains various types of samples, and defining an algorithm target; extracting features of each type of pictures in the data set by using a universal model, and evaluating the error-prone degree of each type according to the distribution condition of each type of features; adding several types of data with the highest error-prone degree into a training pool, and optimizing the neural network by using the data in the training pool; after the optimization is completed, adding the remaining data with the highest error-prone degree into a training pool, expanding the categories in the training pool, and further optimizing the neural network by using the training pool on the basis of the neural network obtained by the last training; and continuously performing class expansion on the training pool until the whole data set enters the training pool to obtain a final optimized neural network model. The method is suitable for neural network model optimization based on multi-class datasets in supervised learning, and has good effect and robustness for various complex conditions.
Owner:ZHEJIANG UNIV
Global optimization preprocessing method for intelligent manufacturing production scheduling
InactiveCN110826013AReduce variable sizeGuarantee equivalenceForecastingManufacturing computing systemsGlobal optimizationOptimization problem
The invention discloses a global optimization preprocessing method for intelligent manufacturing production scheduling. The global optimization preprocessing method comprises the following steps: pre-solving a mixed integer linear programming problem, and reducing a search domain for the mixed integer nonlinear programming problem; the pre-solving of the mixed integer linear programming problem comprising the following steps: (1) performing variable selection based on a Fourier-Motzkin elimination method; (2) performing a redundancy constraint elimination method based on a Fourier-Motzkin elimination method; and (3) pre-solving a linear programming problem based on a Fourier-Motzkin elimination method. According to the global optimization preprocessing method for intelligent manufacturingproduction scheduling, aiming at solving the problem of solving a large-scale engineering decision optimization problem in practice, two types of model preprocessing methods with universality are adopted, so that the solving performance is effectively improved, the method can be directly applied to engineering decision problems with complex structures, and the real-time performance and the qualityof complex production scheduling decisions are greatly improved.
Owner:苏州圣典企业管理咨询有限公司
Two-stage anchor-based dynamic video abstraction method
ActiveCN113505266AReduce computationDetailed classificationVideo data clustering/classificationSpecial data processing applicationsNetwork structureEngineering
The invention relates to a two-stage anchor-based dynamic video abstraction method. The method comprises the following steps: (1) constructing an anchor-based neural network, wherein the neural network comprises an extraction network, a self-attention mechanism network, a two-stage network, namely a region recommendation network and a regression classification network; and (2) determining types and lengths of anchors in the region recommendation network and the regression classification network, completing classification of positive and negative samples, training the anchor-based neural network constructed in the step (1), fixing trained parameters, obtaining two-stage anchor-based neural network models, and performing dynamic video abstraction by using the obtained neural network models. The brand new network structure provided by the invention can process all video frames in parallel, so that the training time is reduced, the final output accuracy is effectively improved, and the network structure is relatively simple and has low requirements on computing power.
Owner:NANJING UNIV OF POSTS & TELECOMM
Optical system free-form surface optimization method, device and computer storage medium
ActiveCN113204113BReduce the difficulty of optimizationImprove efficiencyOptical elementsMatrix opticsImaging quality
Owner:CHANGCHUN INST OF OPTICS FINE MECHANICS & PHYSICS CHINESE ACAD OF SCI
A kind of nuclear magnetic resonance spectrometer self-shielding gradient coil and its design method
The invention discloses a self-shielding gradient coil of a nuclear magnetic resonance spectrometer and a design method thereof. The invention is characterized in that, the self-shielding gradient coil comprises a main coil and a shielding coil which is coaxially arranged on the outer side of the main coil. The windings of the main coil are composed of a plurality of stages of main coil upper windings and main coil lower windings which are symmetrically arranged up and down. The centers of winding wire troughs, the circle radiuses of winding coils and turns per coil, corresponding to the maincoil upper windings and the main coil lower windings, are symmetrically arranged up and down in the one-to-one mode. The windings of the main coil are wound in the winding wire troughs and are arranged in a single-layer winding mode in the axial direction. Each stage of main coil winding corresponds to an independent driving current channel. According to the self-shielding gradient coil and the design method thereof, the series single-channel circuit design is changed into the matrix multi-channel circuit design, and the coil structure is simplified. The optimization difficulty of a target field is reduced. The probability that the actually generated gradient field is deformed and the linearity is not pure due to the winding translation and the interlayer dislocation is reduced.
Owner:ウーハン ジョンケ ニウジン マグネティック レゾナンス テクノロジー カンパニー リミテッド
End-to-end sign language translation method and system
PendingCN113657257AEnhance feature expressionReduce the difficulty of optimizationCharacter and pattern recognitionKnowledge representationFeature extractionAlgorithm
The invention discloses an end-to-end sign language translation method, and belongs to the technical field of sign language translation. The method comprises the following steps: 1) acquiring a sign language video and a corresponding target annotation sequence and target text sequence; 2) establishing a sign language translation model; extracting visual features of the sign language video by a feature extractor and coding the same by a mask coder, and dividing a coding result into three branches for decoding; in the first branch, predicting a word boundary firstly by a boundary predictor, and then predicting an annotation sequence by an auxiliary annotation decoder in combination with an output result of the boundary predictor; in the second branch, linearly mapping the coding result and then using the coding result as the input of a CTC decoder, to generate a prediction annotation sequence; in the third branch, using the coding result as the input of a wait-k decoder, and outputting a prediction text sequence; and 3) carrying out feature extraction and coding on a sign language video to be translated by utilizing the trained sign language translation model, taking a coding result as the input of the wait-k decoder, and generating a prediction text sequence as a translation result.
Owner:ZHEJIANG UNIV
A Neural Network Model Optimization Method Based on Class Expansion Learning
ActiveCN110796260BImprove optimization effectImprove the ability to distinguishNeural architecturesMachine learningData setNetwork on
The invention discloses a neural network model optimization method based on class expansion learning. The specific steps are as follows: Obtain a data set containing samples of various categories for training, and define the algorithm goal; use a general model to extract the features of each type of picture in the data set, and evaluate the error-prone of each category according to the distribution of each type of feature Add the most error-prone types of data to the training pool, and use the data in the training pool to optimize the neural network; after the optimization is completed, add the remaining types of error-prone data to the training pool to expand the categories in the training pool , and use the training pool to further optimize the neural network on the basis of the neural network obtained in the previous training; continuously expand the training pool until the entire data set enters the training pool, and obtain the final optimized neural network model. The invention is applicable to the neural network model optimization based on multi-category data sets in supervised learning, and has better effect and robustness in the face of various complex situations.
Owner:ZHEJIANG UNIV
Optical fiber probe and variable-focus optical fiber OCT device based on adjustable mode field area
ActiveCN112426129AReduce regulation costReduce the difficulty of optimizationSurgeryDiagnostics using spectroscopyOptical pathBroadband light source
The invention provides an optical fiber probe and a variable-focus optical fiber OCT device based on an adjustable mode field area. The OCT device comprises a broadband light source, a laser light source, a first coupler, a reference arm light path structure, a sample arm light path structure and a spectral analysis component; the source light beam is divided into a first light beam and a second light beam by a coupler I; the sample arm light path structure adopts an optical fiber probe as a sample arm; the first light beam enters the reference arm light path structure, and the second light beam is coupled with pump light emitted by the laser light source and enters an optical fiber probe of the sample arm light path structure, so that the focus of the optical fiber OCT device is adjustable; and the spectral analysis component is used for receiving and analyzing the first light beam reflected back from the reference arm light path structure and the second light beam reflected back fromthe sample arm light path structure. The variable-focus optical fiber OCT device adopts an all-fiber probe structure as a sample arm, is small and exquisite, is easy to package, and has the characteristic of adjustable focus; and meanwhile, the variable-focus optical fiber OCT device can be used for endoscopy, and achieves high-resolution imaging beyond the depth-of-field range.
Owner:FOSHAN UNIVERSITY
Method and system for establishing cluster service
ActiveCN105744488AQuality improvementLow costNetwork traffic/resource managementConnection managementTelecommunicationsCoding decoding
The invention provides a method and a system for establishing a cluster service. The method for establishing the cluster service comprises following steps: group calling initiating BSS receives a voice group calling request sent by an initiator and sends a service request message carrying supported voice coding-decoding types to a mobile switching center (MSC) according to the voice group calling request; the MSC receives a first group calling establishing request message sent by the initiator after the service of the MSC and the initiator is connected, wherein the first group calling establishing request message carries the voice coding-decoding types supported by the initiator and the group calling receiving BSS information; the MSC selects a first voice coding-decoding type for the use of the group calling initiating BSS through the group calling initiating BSS according to the service request message and the first group calling establishing request message; the MSC selects a second voice coding-decoding type for the use of the group calling receiving BSS through the group calling BSS according to the first voice coding-decoding type; group calling receiving BSS assigns the selected results to corresponding users. According to the technical scheme, by means of the IP-based A interface, voice group calling service is carried out with increased voice service quality and reduced network cost.
Owner:ZTE CORP
A control arm assembly
ActiveCN104149568BReduce swing angleReduce the difficulty of optimizationResilient suspensionsPivoted suspension armsVehicle frameStress conditions
The invention relates to a control arm assembly, which is applied to an independent suspension structure of a vehicle, which includes two V-shaped connecting arms and three ball joint structures respectively arranged at the ends of the two connecting arms , each of the two connecting arms has one end connected to the first spherical joint structure among the three spherical joint structures, and the other ends of the two connecting arms are respectively connected to the three spherical joint structures The second spherical joint structure and the third spherical joint structure in the structure, the first spherical joint structure is used to connect the axle wheel steering knuckle of the vehicle, and the second spherical joint structure and the third spherical joint structure are used for for connecting to the frame of the vehicle. The present invention can avoid as far as possible the movement interference between the tire jumping up and down and the tire steering process with the suspension and the frame, and can adopt a longer control arm structure to reduce the swing angle of the control arm when the tire jumps, and reduce the optimization difficulty and improve the force condition of the control arm.
Owner:XUZHOU HEAVY MASCH CO LTD
Fuel rod shape optimization method based on Bezier curve
InactiveCN111639403AReduce the numberReduce the difficulty of optimizationGeometric CADDesign optimisation/simulationAlgorithmControl theory
The invention provides a fuel rod shape optimization method based on a Bezier curve. The method comprises the following steps: 1, building an x-y coordinate system through employing a central point ofa cross section of a fuel rod as an origin of coordinates, carrying out the shape optimization of a quarter of the outer contour of the fuel rod in a first quadrant, and setting a target function; 2,fitting a quarter of the outer contour of the fuel rod by adopting a quadratic Bezier curve to obtain three Bezier curves and seven control point coordinates, and taking the seven control point coordinates as design variables; 3, formulating constraint conditions according to the original size data of the outer contour of the quarter of the fuel rod; 4, calculating the perimeter of the outer contour of the quarter of the fuel rod and the area defined in the first quadrant; and step 5, according to the objective function, the design variable and the constraint condition, writing an optimization program in Matlab, then performing operation to obtain an optimization result of the outer contour of the quarter of the fuel rod, and drawing according to the optimization result of the outer contour of the quarter of the fuel rod to obtain the optimized overall outer contour of the fuel rod.
Owner:UNIV OF SHANGHAI FOR SCI & TECH
Structure optimization method for reinforcing rib of large panel of vehicle body
PendingCN114880771AGuarantee structureGuaranteed performanceGeometric CADSustainable transportationIdentifying problemsStructural engineering
The invention relates to a structure optimization method for reinforcing ribs of a large panel of a vehicle body. The structure optimization method comprises the following steps: S1, finite element modeling of the whole vehicle; s2, road vibration noise simulation analysis; s3, analyzing and identifying problem reasons; s4, carrying out model interception and modal analysis; s5, performing morphology optimization analysis; and S6, verifying an optimization result. According to the method, the optimal arrangement mode of the reinforcing ribs of the key panel can be rapidly designed through the morphology optimization analysis technology, the traditional mainstream optimization method that analysis engineers try repeatedly according to personal experience and cannot precisely design the arrangement mode of the reinforcing ribs of the key panel is improved, and it is guaranteed that one-time design of the structure, performance and the like of the key panel is qualified; the method has the advantages of high efficiency and low cost, and effectively reduces the risks of prolonged research and development period and increased research and development cost caused by later design change.
Owner:CHONGQING CHANGAN AUTOMOBILE CO LTD
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