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35results about How to "Solve training problems" patented technology
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Method for preparing cartilage with high mechanical property based on 3D bioprinting
ActiveCN104399119AImprove mechanical propertiesGood mechanical propertiesProsthesisBiocompatibility TestingBiological materials
The invention provides a method for preparing cartilage with a high mechanical property based on 3D bioprinting. The method comprises the following steps: preparing silk fibers, preparing a gelatin solution, preparing ciological ink containing cells, carrying out 3D cartilage printing, performing cell culture and differentiation on a printed tissue to form the cartilage. The method solves the problems of polarization of 2-dimension culture for cells and high body and surface ratio of cells through the 3D bioprinting technology; sodium alginate and calcium ions form ionic bonds, and gelatin and methacrylic anhydride form covalent bonds, so that the 3D bioprinted cartilage is good in mechanical property and is not easily broken; the gelatin has biocompatibility and degradability of normal biological material hydrogel, has bioactivity, and is good for cell growth and differentiation and realization of cell functions.
Owner:西安博恩生物科技有限公司
Simulation system for dynamically generating three-dimensional scene on the basis of Unity, and implementation method thereof
ActiveCN105045970AReal-time running statusReal-time dataSpecial data processing applications3D modellingThree dimensional simulationReal-time data
The invention discloses a simulation system for dynamically generating a three-dimensional scene on the basis of Unity. The simulation method comprises a three-dimensional simulation model library, a scene configuration file library, a three-dimensional simulation module and a data communication module, wherein the three-dimensional simulation module comprises a scene display module and a scene operation module; and the output end of the three-dimensional simulation model library and the output end of the scene configuration file library are connected with a data input end of the scene display module. The implementation method of the simulation system comprises the following steps: 1) creating a three-dimensional model; 2) reading a user-defined configuration file from the Unity, and automatically generating the three-dimensional scene simulation module; 3) newly building a monitoring thread in the three-dimensional scene simulation module, and obtaining required external real-time data from an external equipment simulation program; and 4) operating equipment or repairing equipment faults in a three-dimensional scene, and sending operation information to the external equipment simulation program for simulation calculation and judgment. The simulation system has the advantages of being visual in observation, can receive and send simulation data in real time and is tightly combined with actual power system communication work.
Owner:STATE GRID CORP OF CHINA +3
Semi-supervised mass data hierarchy classification method
InactiveCN101872343ASolve training problemsImprove classification performanceSpecial data processing applicationsStochastic gradient descentFeature extraction
Aiming at the problems of long manual labeling time and large expenses of a mass data hierarchy classifier, the invention provides a semi-supervised mass data hierarchy classification method comprising the following steps of: carrying out feature extraction on webpages in a webpage base; automatically generating the training set of a leaf node on the existing hierarchy classification body base by utilizing a rule set and an expansion rule; clustering the webpage of each existing leaf node; classifying unlabelled sets on the basis of clustering, and adding examples in the unlabelled sets, which are similar to the training set, to the training set of the corresponding leaf node to expand the scale of the training set; training the canonical linear classifier of each node by using a random gradient descent method; if the result of the classifier meets stopping conditions, stopping; otherwise, entering the step F; classifying the unlabelled sets by using the hierarchy classifier established by the steps C and D; adding the high-confidence classified webpages to the training set; and returning to the step C and repeating the steps form C to F.
Owner:罗彤
Neuromorphic system based on variable-resistance devices and adaptive-excited neurons and realization method
ActiveCN107273972ARealize free switchingReduce areaPhysical realisationNeural learning methodsVoltage regulator moduleControl engineering
The invention discloses a neuromorphic system based on variable-resistance devices and adaptive-excited neurons and a realization method. The system includes a crossed array of the variable-resistance devices, the anterior neurons, the posterior neurons, a global dynamic threshold value control circuit, a control logic module, a voltage regulation module, a sample input, a tag input and a result output. According to the system, the variable-resistance devices are used as electronic synapses, and a new structure and operation mode of the adaptive-excited neurons are provided, thus the system is optimized on area and operation aspects, and training problems faced by the same type of systems are solved.
Owner:PEKING UNIV
Hysteroscopic surgery simulator
InactiveCN104424838ASolve training problemsRealistic effectCosmonautic condition simulationsEducational modelsDiseaseHysteroscopic surgery
The invention discloses a hysteroscopic surgery simulator, which comprises an examining table, a female human model, a uterine cavity resectoscope, a rotation sensor, a displacement sensor, a force feedback touch simulator, data receiving processing equipment, a 3D (three-dimensional) model processing server, a 3D platform system server and display equipment. The hysteroscopic surgery simulator is characterized in that the uterine cavity resectoscope is put in the model; the lower part of the resectoscope body is provided with the displacement sensor and the rotation sensor; the tail end of the resectoscope body is provided with the force feedback touch simulator; the displacement sensor, the rotation sensor and the force feedback touch simulator are respectively and bi-directionally related with the data receiving processing equipment arranged in the examining table. Various 3D stereoscopic models of normal tissues and diseases of a virtual uterine cavity and 3D models for an operation process are stored in the 3D model processing server, and a hysteroscopy and surgery operation interface and entering and playback software are stored, and are output to the display equipment through the 3D platform system server to show vivid virtual 3D images; the hysteroscopic surgery simulator also has a vivid force feedback touch, so that the effects of hysteroscopy, and surgery skill training and assessment can be obviously improved.
Owner:王尧
Method for improving activity of nitrification function microbiology in activated sludge through directly feeding Fe ions
ActiveCN102502950AAvoid toxic effectsSolve training problemsSustainable biological treatmentBiological water/sewage treatmentActivated sludgeChemical agent
The invention provides a method for improving the activity of nitrification function microbiology in activated sludge through directly feeding Fe ions, which comprises a cultivation stage of the nitrification function microbiology and a long-time running activity maintenance stage. In a saprobiont denitrification system, ferric salt chemical agent with Fe <2+> or Fe<3+> is directly fed into an activated sludge mixture of an aerobic pond of a biology denitrification system, and basic compounds are also fed simultaneously; and in the long-time running activity maintenance stage of nitrificationfunction microbiology, the feeding amount of the ferric salt chemical agent with the Fe <2+> or the Fe<3+> is gradually reduced, and the fed ferric salt chemical agent with the Fe <2+> or the Fe<3+> is only used for replenishing loss amount of the Fe<3+> or the Fe <2+>. According to the method, the biochemical reaction metabolic activity of the nitrification function microbiology can be effectively improved, the breeding of the nitrification function microbiology and the secretion of endoenzyme of microbial cell are promoted, the applicability of saprobiont denitrification technology is improved, the bottleneck problems existing in the saprobiont denitrification system are solved, and the low temperature resistant capacity of the system is obviously improved.
Owner:QINGDAO TECHNOLOGICAL UNIVERSITY
Multi-sensor deep fusion 3D target detection method for automatic driving
ActiveCN113159151ASolve the problem of time and space out of syncSolve training problemsImage enhancementCharacter and pattern recognitionVoxelPoint cloud
The invention discloses a multi-sensor deep fusion 3D target detection method for automatic driving, which effectively solves the problem of space-time desynchrony of sensors through an edge calibration technology, effectively solves the problem of depth estimation model training when labels are insufficient through target center data enhancement, and improves accuracy of target center data enhancement. Through the uncertainty estimation technology and the scene correlation loss function, the robustness and precision of the depth estimation model under the scene change condition are effectively improved. Through 2D-3D lossless information conversion, a voxel conversion-to-point technology, coarse-to-fine depth alignment and multi-branch supervision flow, the problems that different modal feature spaces are inconsistent and information loss exists in conversion are effectively solved, and a final architecture can enhance the complementary effect of multi-modal information in an automatic driving scene. Interference among multi-modal information is reduced, and good performance is achieved under the scenes of shielding, sparse point cloud, illumination variation and the like.
Owner:UNIV OF SCI & TECH OF CHINA
Prediction model training method and device, prediction model prediction method and device, equipment, program and medium
PendingCN112561191AImprove accuracySmall amount of calculationForecastingCharacter and pattern recognitionEngineeringData mining
The invention discloses an air quality prediction model training method and device, an air quality prediction model prediction method and device, equipment, a program and a medium, and relates to thetechnical field of computers, in particular to the deep learning technology. The method comprises the following steps: dividing a target monitoring range into a plurality of areas; pre-training an airquality prediction model by adopting a pre-training sample and a pre-training target function, the pre-training sample comprising the measured value; adopting a formal training sample and a formal training objective function to train a pre-trained air quality prediction model, wherein the formal training sample comprises the actual measurement value, and the air quality prediction model is used for predicting the air quality of the plurality of regions according to the space information, the historical information and the environment information. According to the invention, the optimized training target can be achieved by different pre-training samples and target functions.
Owner:BEIJING BAIDU NETCOM SCI & TECH CO LTD
Portable multimedia training and examination system
InactiveCN110119605ASolve training problemsSolution conditionsData processing applicationsCharacter and pattern recognitionMultiple formsAnimation
The invention discloses a portable multimedia training and examination system, and particularly relates to the technical field of petrochemical enterprise education and training. The portable multimedia training and examination system comprises an integrated box body, a hardware system and a software system. The hardware system comprises a host, a man-machine interaction device, a wireless answerdevice, an identity recognizer and a multimedia unit, and the software system comprises a plan management module, a training examination module, a record query module, a data management module, an offline use module and an equipment detection module. The specific application process is as follows: before training and examination, preparing multiple forms of training contents and examination questions, and storing the training contents and the examination questions in the portable multimedia training and examination system in the form of videos, animations or documents; inputting the information of the examinees into the portable multimedia training examination system through the identity recognizer; recording sign-in of the examinees, generating a sign-in record and recording the sign-in record. The defect that an existing petrochemical enterprise training examination is poor in adaptability is overcome.
Owner:CHINA PETROLEUM & CHEM CORP +1
Grid-type billiard aiming training device
The invention belongs to a billiard training device, in particular to a grid-type billiard aiming training device, which comprises a grid-type aiming plate and a support seat under the grid-type aiming plate. The grid-type aiming plate is formed via staggered arrangement of three horizontal bars or horizontal lines with the same spacing and three vertical bars or vertical lines with the same spacing, the horizontal bars or horizontal lines are as long as the vertical bars or vertical lines, and the length of the horizontal bars or horizontal lines and the vertical bars or vertical lines are equal to the diameter of a billiard body. The training problems of three aiming habits can be solved since: 1, the bottom corner of the grid-type aiming plate is a goal point along a table surface; 2, intersection points of the vertical bars or vertical line on the sides and the horizontal bars or horizontal lines in the middle are goal points of a cue ball during collision; and 3, the vertical bars or vertical line on the sides are central axial lines of the cue ball during collision.
Owner:饶涛
Face spoofing detection method and system based on meta-pseudo labels and illumination invariant features
PendingCN114067444AImprove learning abilityReduce the impactSpoof detectionInvariant feature extractionNetwork model
The invention discloses a face spoofing detection method and system based on meta-pseudo labels and illumination invariant features. The method comprises the steps that: data is preprocessed to obtain an RGB color channel graph and a PLGF graph; the RGB color channel graph is divided into labeled samples, unlabeled samples and enhanced unlabeled samples, the labeled samples, the unlabeled samples and the enhanced unlabeled samples are sent to a teacher learning module to obtain teacher semi-supervised loss, false labels of the unlabeled samples and enhanced unlabeled loss, and parameters of a student model and a teacher model are updated; the PLGF map is sent to an illumination invariant feature extraction network to obtain a feature vector and a classification vector, and a network model and parameters are stored after triple loss and cross entropy loss are used for supervised training; a threshold value is determined by using a verification set; and test data is loaded to the student model and the illumination invariant feature extraction network to obtain a corresponding RGB classification score and a PLGF classification score, weighted summation is performed to obtain a classification score, and a classification result is judged according to a threshold value. According to the method, the robustness of the face spoofing detection model is improved under the condition that the training samples are insufficient.
Owner:CHINA-SINGAPORE INT JOINT RES INST +1
Method for improving activity of nitrification function microbiology in activated sludge through feeding iron hydroxide during in situ preparation
ActiveCN102502949AImprove the metabolic activity of biochemical reactionsPromote the secretion of enzymesIron oxides/hydroxidesWater treatment compoundsCentrifugal pumpChemistry
The invention provides a method for improving the activity of nitrification function microbiology in activated sludge through feeding iron hydroxide during in situ preparation. The method comprises a cultivation stage of the nitrification function microbiology and a long-time running activity maintenance stage. The cultivation stage is characterized in that: the activity of the nitrification function microbiology is improved through in situ preparation of active sludge system equipment and feeding of ultramicron iron hydroxide. The long-time running activity maintenance stage refers to feeding ferric salt chemical agent into an activated sludge mixture directly so as to replenish ferrum lost due to excess sludge emission. The in situ preparation of iron hydroxide is realized through chemical reaction between ferric trichloride solution and sodium bicarbonate solution which are mixed in a centrifugal pump. According to the method, the problems that in the existing saprobiont denitrification system, the running stability is poor, and low temperature has impact on the activity of the nitrification function microbiology, can be effectively solved, the biochemical reaction activity of the nitrification function microbiology is improved, and the low temperature impact resistant capacity of the biology denitrification system is improved.
Owner:QINGDAO TECHNOLOGICAL UNIVERSITY
Model training method and device, task processing method, storage medium and processor
PendingCN114169392ASolve training problemsImprove active perceptionCharacter and pattern recognitionEngineeringAlgorithm
The invention discloses a model training method and device, a task processing method, a storage medium and a processor. The method comprises the steps that first data is used for training to obtain a first model, the first data are data with labels, and the first model is a teacher model; performing anti-disturbance on the first model based on the first data to obtain second data, the second data being data with pseudo labels; and training by adopting the first data and the second data to obtain a second model, the second model being a student model. The method solves the technical problems that a model training method in the related technology cannot realize model training under a small amount of marked data, and the active perception and defending capability of the anti-risk is poor.
Owner:ALIBABA (CHINA) CO LTD
Exam and training system based on banking services
InactiveCN106683011ASolve the examSolve training problemsData processing applicationsComputer scienceData library
The embodiments of the invention disclose an exam and training system based on banking services. The system includes a server and a client. The server includes a personal information database, an exam question database and a scoring module. The personal information database stores person information of users. The exam question database stores exam questions and training questions. The scoring module is intended for reading the exam questions stored in the server so as to score the exam questions corresponding to the client. The client includes a login module, an input module, an exam module and a display module. The login module is an interface for logging in the exam and training system. The input module allows the user to select and input. The exam module provides exam questions to the user. The display module is a window which presents at least exam questions. The exam question database includes a past exam question database and a training exam question database. According to the embodiment of the invention, the system addresses the problems existed in the exam and training for bank workers.
Owner:安徽和润信息科技有限公司
A remote sensing image super-resolution reconstruction method combining a two-parameter beta process with a dictionary
PendingCN109712074ASolve training problemsReduce dimensionalityImage enhancementGeometric image transformationPattern recognitionImage resolution
The invention provides an accurate and small-computation remote sensing image super-resolution reconstruction method combining a two-parameter beta process with a dictionary, and belongs to the technical field of remote sensing image processing. The method comprises the following steps: S1, inputting a low-resolution image to be reconstructed, a high-resolution image dictionary D(x), a low-resolution image dictionary D(y) and a mapping matrix A; S2, performing sparse coding on the input low-resolution image according to a dictionary D (y) to obtain a low-resolution sparse coefficient, mappinga high-resolution sparse coefficient corresponding to the low-resolution sparse coefficient by using a matrix A, and reconstructing a high-resolution image by using the high-resolution sparse coefficient and a dictionary D (x); the acquisition method of the dictionary D (x), the dictionary D (y) and the matrix A comprises the steps that according to paired high-resolution and low-resolution training images, the dictionary D (x), the dictionary D (y) and the matrix A are acquired through a double-parameter beta process, the matrix A is a mapping matrix from sparse coefficients of the dictionaryD (y) to sparse coefficients of the dictionary D (x), and the sparse coefficients are products of coefficient weights and dictionary atoms.
Owner:HEILONGJIANG UNIV
Scene text recognition method based on generative adversarial style migration
PendingCN113065417AIncrease authenticityImprove performanceNeural architecturesCharacter recognitionText recognitionProgram instruction
The invention belongs to the field of scene text recognition, and relates to a scene text recognition method based on generative adversarial style migration, which is implemented by a processor executing a program instruction and comprises the following steps: in a preheating training stage, implementing supervised learning training on a scene text recognition network by using a first scene text picture data set; in the synchronous training stage, setting a co-training network at the input end of the scene text recognition network, and using a second scene text picture data set for conducting synchronous training based on generative adversarial on the co-training network and an overall network formed by the co-training network and the scene text recognition network, wherein the co-training network comprises a generator for providing scene text pictures for the scene text recognition network; according to the accuracy of the scene text recognition network on the verification set after synchronous training, selecting model parameters of the scene text recognition network, and using the scene text recognition network to recognize text information of the scene text picture under the model parameters. According to the method, the scene identification problem under the condition of less real data can be effectively solved.
Owner:STATE GRID HEBEI ELECTRIC POWER CO LTD +1
Movable type true fire training system
InactiveCN104700703ASolve training problemsImprove combat effectivenessEducational modelsMovable typeElectrical control
A movable type true fire training system comprises a vehicle-mounted platform, wherein a control and device machine room is arranged at the front-portion position the vehicle-mounted platform and connected with a training room, a vacant portion is reserved at the rear portion of the vehicle-mounted platform, an electrical control system and a gas supply system are arranged in the control and device machine room, a first burning plate and a second burning plate are arranged in the training room, a flashover plate is arranged at the top of the training room, and the training room is provided with three inlets. The movable type true fire training system can be conveniently transported to a unit having the training demand for training and is small in occupied area and convenient to use. A scene can be quickly customized in training space according to different training demand and is close to life. True fire fuel is liquefied petroleum gas, the effect is life-like, and the fire can be obtained in a training field simply and safely.
Owner:SHANGHAI ELECTRICAL AUTOMATION R&D INST
Method for training user through training system
InactiveCN107516240ASolve training problemsEasy to operateDiscounts/incentivesPersonal detailsClient-side
The invention discloses a method for training users through a training system, which includes: learning the rules of the training system; improving personal data and upgrading to become an expert user; performing commission task training, and obtaining points to upgrade the user level by completing the set commission task; Carry out dividend task training. Client users share with friends through social tools. Friends download and promote the client to complete the commission task. Users who promote the client get dividend income and accumulate dividend income points to improve user level; improve the quality of users in the circle of relatives and friends; Consumption training guides the dividends earned by users of the promotion client to be withdrawn as change in the promotion client, and their user level can be improved by accumulating points through consumption. The present invention can quickly solve user training problems through rewards and upgrade guidance, can automatically guide users to grow rapidly in batches, can improve the operation level of the entire promotion client, and can quickly improve the growth and competitiveness of the promotion client.
Owner:广州点升信息技术有限公司
Target detection training method and system, electronic equipment and computer readable storage medium
PendingCN112257726AHigh precisionEasy to detectCharacter and pattern recognitionNeural architecturesFeature extractionNetwork output
The invention discloses a target detection training method and system, electronic equipment and a computer readable storage medium, and the method comprises the steps: extracting features from an image through a backbone, and obtaining an image feature; obtaining noise features of the image features through a noise method; optimizing the RPN network by using a consistency regularization method according to the image features and the noise features; outputting proposals by the RPN network of which the image features; obtaining noise proposals by the proposals through a noise method; optimizingthe roi_heads network by using a consistency regularization method according to the proposals and the noise proposals, and optimizing the roiheads network by using a consistency regularization methodaccording to the roiheads and the noise proposals; and obtaining a final full classification result and a final position result through the roiheads network by the proposals. On the basis of a consistency regularization technical route in the field of image classification, unlabeled data can be used for network training in the field of target detection, so that the precision of a network structureis improved, and higher detection performance is achieved.
Owner:SHANGHAI MININGLAMP ARTIFICIAL INTELLIGENCE GRP CO LTD
A Blockchain Consensus Method Based on Deep Learning Training Tasks
ActiveCN107864198BSolve wasteSolve training problemsSpecial service provision for substationFinanceBlockchainEnergy analysis
The invention discloses a block chain consensus method based on deep learning training tasks, including that all block chain participating nodes jointly maintain a ledger record, any node can issue a transaction, and distribute it to each node through a P2P consensus network, There will be deep learning task nodes in the P2P consensus network, and the deep learning tasks will be distributed to all participating nodes. The accounting nodes will combine the deep learning tasks to reach a consensus through the inter-node consensus mechanism and complete the transaction confirmation. The present invention combines artificial intelligence and deep learning technology, adds the workload proof of the block chain public chain mining process into the deep learning task, effectively solves the traditional energy waste problem of obtaining bookkeeping rights through hash challenges, and to a certain extent It solves the problem of deep learning model training; at the same time, the workload proof of the mining process retains part of the challenge using the hash algorithm SHA256, which ensures the randomness of the mining process and avoids the monopoly of bookkeeping rights by deep learning giants.
Owner:山东浪潮数字能源科技有限公司
Substation training device based on PLC (programmable logic controller)
ActiveCN103745626ARealize switching operationSolve training problemsCosmonautic condition simulationsSimulatorsSimulationDisplay device
The invention relates to a substation training device based on a PLC (programmable logic controller). The substation training device comprises a base, an operating display screen, an alternating current air switch, an alternating current contactor, an intermediate relay, the PLC, a grounding fault setting device, a wiring terminal block, PLC signal input devices and PLC signal output devices, wherein the base is provided with a power plug, and the operating display screen comprises a box shell, a simulation circuit board, a warning device, an isolation switch operating rocking rod, a displayer I, a displayer II and a plurality of voltmeters. The substation training device has the advantages that through controlling the operating display screen by the PLC, one-time analogue simulation training of a substation is realized, the training problem of electricity utilization operating personnel is solved, the educational and training quality of trainees is fast promoted, the acceptability of electricians for network access operation is greatly improved, the operation is visual and vivid, the trainees can easily grasp the learned key points, a notable effect is produced, and the problem that the actual operation is very complex and is difficult to grasp is solved.
Owner:JINHUA POWER SWITCH +2
Gripping apparatus operation simulation facility used by nuclear fuel operation simulation training system
InactiveCN110335514AStrong sense of immersionRealize switching operationCosmonautic condition simulationsSimulatorsAnimationSimulation
The invention belongs to the technical field of nuclear fuel operation training, and particularly relates to a gripping apparatus operation simulation facility used by a nuclear fuel operation simulation training system. A mobile gripping apparatus operation touch screen panel integrates the mechanical operation handles of a spent fuel assembly gripping apparatus and a choke plug assembly grippingapparatus through simulation animation, and also integrates the button boxes of an old control rod assembly gripping apparatus and a burnable poison assembly gripping apparatus, a mechanical operation handle and a parameter display meter. The selection buttons of a spent fuel assembly gripping apparatus, a choke plug assembly gripping apparatus, a burnable poison assembly gripping apparatus and an old control rod assembly gripping apparatus are arranged on a movable gripping apparatus operation touch screen panel. The operation pictures of different gripping apparatuses can be switched. The operation buttons for grabbing, releasing, ascending and descending of different grippers are provided on the operating pictures of the different grippers. The gripping apparatus operation simulation facility is used for training the grabbing and releasing operation of the nuclear fuel plant fuel assembly and related assembly switching work.
Owner:CNNC FUJIAN FUQING NUCLEAR POWER
A neuromorphic system based on resistive switching devices and adaptive-excitation neurons and its implementation method
ActiveCN107273972BRealize free switchingReduce areaPhysical realisationNeural learning methodsVoltage regulator moduleControl engineering
The invention discloses a neuromorphic system based on variable-resistance devices and adaptive-excited neurons and a realization method. The system includes a crossed array of the variable-resistance devices, the anterior neurons, the posterior neurons, a global dynamic threshold value control circuit, a control logic module, a voltage regulation module, a sample input, a tag input and a result output. According to the system, the variable-resistance devices are used as electronic synapses, and a new structure and operation mode of the adaptive-excited neurons are provided, thus the system is optimized on area and operation aspects, and training problems faced by the same type of systems are solved.
Owner:PEKING UNIV
Grid-type billiard aiming training device
The invention belongs to a billiard training device, in particular to a grid-type billiard aiming training device, which comprises a grid-type aiming plate and a support seat under the grid-type aiming plate. The grid-type aiming plate is formed via staggered arrangement of three horizontal bars or horizontal lines with the same spacing and three vertical bars or vertical lines with the same spacing, the horizontal bars or horizontal lines are as long as the vertical bars or vertical lines, and the length of the horizontal bars or horizontal lines and the vertical bars or vertical lines are equal to the diameter of a billiard body. The training problems of three aiming habits can be solved since: 1, the bottom corner of the grid-type aiming plate is a goal point along a table surface; 2, intersection points of the vertical bars or vertical line on the sides and the horizontal bars or horizontal lines in the middle are goal points of a cue ball during collision; and 3, the vertical bars or vertical line on the sides are central axial lines of the cue ball during collision.
Owner:饶涛
The method of generating 3D scene simulation based on unity dynamic technology
ActiveCN105006017BReal-time dataImprove technical levelCosmonautic condition simulationsSimulatorsElectric power systemSimulation
Owner:STATE GRID CORP OF CHINA +3
A method and system for re-identification of people changing clothes based on autoencoder network
ActiveCN110321801BAvoid dependenceSolve training problemsBiometric pattern recognitionNeural architecturesFeature extractionComputer graphics (images)
The invention discloses a method and system for re-identifying pedestrians who change clothes based on an autoencoder network, wherein the method includes: (1) generating a mask for the pedestrian's clothing part in the pedestrian picture; (2) using a clothing feature encoder E A Obtain the clothes feature representation vector; (3) remove the clothes part in the pedestrian picture according to the mask, and use the clothes changing picture generator G to generate the clothes changing picture; (4) build a clothes-independent feature learning network, including the feature extractor F and the picture generation (5) pair the real pedestrian pictures and the generated clothes-changing pictures in pairs, and train the feature extractor F; (6) after the training converges, input the real and marked pedestrian pictures, and use the cross-entropy loss function to The feature extractor F is fine-tuned; (7) The application of pedestrian re-identification is carried out by using the final feature extractor F. Utilizing the present invention, robust discriminative features can be learned in the scene where the appearance of pedestrians varies widely.
Owner:ZHEJIANG UNIV
A substation training device based on plc control
ActiveCN103745626BRealize switching operationSolve training problemsCosmonautic condition simulationsSimulatorsVoltmeterDisplay device
The invention relates to a substation training device based on a PLC (programmable logic controller). The substation training device comprises a base, an operating display screen, an alternating current air switch, an alternating current contactor, an intermediate relay, the PLC, a grounding fault setting device, a wiring terminal block, PLC signal input devices and PLC signal output devices, wherein the base is provided with a power plug, and the operating display screen comprises a box shell, a simulation circuit board, a warning device, an isolation switch operating rocking rod, a displayer I, a displayer II and a plurality of voltmeters. The substation training device has the advantages that through controlling the operating display screen by the PLC, one-time analogue simulation training of a substation is realized, the training problem of electricity utilization operating personnel is solved, the educational and training quality of trainees is fast promoted, the acceptability of electricians for network access operation is greatly improved, the operation is visual and vivid, the trainees can easily grasp the learned key points, a notable effect is produced, and the problem that the actual operation is very complex and is difficult to grasp is solved.
Owner:JINHUA POWER SWITCH +2
Method for improving activity of nitrification function microbiology in activated sludge through directly feeding Fe ions
ActiveCN102502950BAvoid toxic effectsSolve training problemsSustainable biological treatmentBiological water/sewage treatmentActivated sludgeChemical agent
Owner:QINGDAO TECHNOLOGICAL UNIVERSITY
Image super-resolution method based on deep threshold convolutional neural network
ActiveCN107154021BMitigate Vanishing GradientsSolve training problemsGeometric image transformationUltrasound attenuationAlgorithm
The invention discloses an image super-resolution method based on a deep threshold convolutional neural network, which is mainly used to solve the problem that the super-resolution effect of an image is reduced when the network is deepened in the prior art. The method comprises the following steps: (1) acquiring paired low-resolution and high-resolution image data as training data; (2), defining a threshold convolution layer to replace the existing convolution layer, and building an end-to-end deep threshold convolutional neural network; (3) inputting the training data to the deep threshold convolutional neural network to train the network through an Adam optimization method; and (4) using the trained deep threshold convolutional neural network to carry out image super-resolution. The gradient attenuation problem of the deep neural network is reduced. The application of the deep network in image super resolution is realized. The effect of image super-resolution is enhanced. The speed of image super-resolution is increased. The image super-resolution method can be used in fields such as satellite remote sensing, medicine, traffic monitoring and video compression.
Owner:XIDIAN UNIV
Method for improving activity of nitrification function microbiology in activated sludge through feeding iron hydroxide during in situ preparation
ActiveCN102502949BGood flocculation effectEasy to separateIron oxides/hydroxidesWater treatment compoundsSodium bicarbonateChemical reaction
Provided is a process for increasing the activity of a nitrification microorganism in an active sludge by in-situ preparation and addition of iron hydroxide, comprising a culturing stage for a nitrification microorganism and a long-term activity-maintaining stage, wherein the culturing stage is for increasing the activity of the nitrification microorganism by in-situ preparation and addition of ultra fine particles of iron hydroxide at a mass concentration of 10% in an active sludge system facility, the in-situ preparation being achieved by chemically reacting iron trichloride solution at a mass concentration of 15% and with a 2.6% sodium hydrogen carbonate solution under mixing and stirring in a centrifugal pump, and the long-term activity-maintaining stage involving adding a chemical reagent of an iron salt directly to the active sludge mixture solution, in order to supplement the iron element lost by discharging the remaining sludge. The process improves low temperature resistance of a biological denitrogenation system.
Owner:QINGDAO TECHNOLOGICAL UNIVERSITY
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