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51results about How to "Reduce the number of collections" patented technology
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Three-dimensional calibration target-based multi-fisheye camera calibration device and method
ActiveCN106548477AHigh precisionRealize acquisitionImage enhancementImage analysisCamera lensDistortion
The invention discloses a three-dimensional calibration target-based multi-channel fisheye camera calibration device and method and belongs to the camera calibration technical field. The method includes the following steps that: a three-dimensional coordinate system is established; each fisheye camera in a panoramic image pick-up module is utilized to acquire the images of two calibration plates in a calibration target which are located at different positions; an isometric projection distortion model is selected; the intrinsic parameters of the corresponding lens and extrinsic parameters between a lens coordinate system and all plane calibration plate coordinate systems are calculated; the rotation and translation matrix of the two plane calibration plate coordinate systems and a three-dimensional calibration target coordinate system is calculated; and the obtained intrinsic parameters and extrinsic parameters of the lens are nonlinearly optimized, so that the optimal intrinsic parameters of the lens and the optimal extrinsic parameters of the lens relative to each calibration plate coordinate system can be obtained. According to the method, the folding type calibration target is adopted to achieve the calibration of the intrinsic parameters and extrinsic parameters of each lens, so that high-quality calibration images can be obtained; the intrinsic parameters and extrinsic parameters of each lens are optimized according to the known position relationship between a three-dimensional calibration target and the lens, and therefore, the accuracy of camera calibration can be greatly improved.
Owner:CHANGSHA PANODUX TECH CO LTD
Method and device for generating decision tree in data mining system
InactiveCN102054002AReduce occupancyReduce the number of collectionsSpecial data processing applicationsData setDecision tree
The invention discloses to a method and a method for generating a decision tree in a data mining system. The main technical scheme comprises steps as follows: A, a data set is traversed and set, so as to determine the unclassified data set corresponding to every candidate unit on the current layer of the decision tree; B, the attribute value of the data attribute corresponding to every candidate unit is determined according to the determined unclassified data attribute; C, the decision tree branch of every unit is generated according to the determined attributed value; and D, whether the data in the unclassified data set corresponding to the lower unit of every decision tree branch is identical in the attribute value with the pre-determined set data attribute or not is judged respectively, the units with a negative judgment are determined to be candidate units of the next layer of the current layer, the next layer serves as the current layer, and the step A is carried out again, and units with a positive judgment are determined as the last unit of the branch respectively. By adopting the technical scheme, the times for traversing the data set is reduced, as a result, the computational efficiency is improved, and the occupation of system resource is lessened.
Owner:CHINA MOBILE COMM GRP CO LTD
Indoor positioning method for reducing fingerprint data acquisition workload
InactiveCN104038901AReduce the number of collectionsReduce positioning errorsWireless commuication servicesComputer visionNear neighbor
The invention discloses an indoor positioning method for reducing fingerprint data acquisition workload. For a large number of point pairs with larger AP (Access Point) RSSI (Received Signal Strength Indicator) difference values, the physical distances are larger. The method comprises the following steps: calculating the RSSI 'distance value' between points by taking the RSSI values of multiple APs obtained at a certain position as high-dimension characteristic data of the position according to the characteristic for serving as the intimate relationship between two points; acquiring the relative position relationship of one low-dimension space between each object by using a multi-dimensional scaling analysis algorithm; evaluating the absolute positions of other points by taking a small number of sample points as anchor nodes. By adopting the method, the aim of reducing the acquisition number of sample points is fulfilled. A hierarchical region reducing method is put forward on the basis in order to further fulfill the aim of reducing the positioning error. Compared with a KNN (K Nearest Neighbor) algorithm, the method has the advantages that the sampling points can be reduced, and meanwhile the positioning error is reduced.
Owner:CENT SOUTH UNIV
Damage detection model training method and device, vehicle damage detection method and device, equipment and medium
PendingCN111667011AReduce the number of samples collectedImprove recognition accuracy and reliabilityFinanceCharacter and pattern recognitionSample imageBlockchain
The invention relates to artificial intelligence, and provides a damage detection model training method and device, a vehicle damage detection method and device, equipment and a medium. The method comprises the steps: inputting an obtained damage sample image into a damage detection model containing a first parameter, extracting damage features, and generating an intermediate convolution feature map; inputting the intermediate convolution feature map into a mask prediction branch model containing a second parameter; outputting a training result through the damage detection model according to the damage features, and obtaining a mask result through the mask prediction branch model; obtaining a first loss value through the first loss model, and obtaining a second loss value through the second loss model; obtaining a total loss value; and when the total loss value does not reach the convergence condition, iteratively updating the first parameter and the second parameter until the total loss value reaches the convergence condition to obtain a trained damage detection model. According to the invention, the damage type and the damage area can be quickly identified. The invention also relates to a blockchain technology. The damaged sample image can be stored in the blockchain.
Owner:PING AN TECH (SHENZHEN) CO LTD
Intensive target detection metering method
ActiveCN111339839AReduce the number of collectionsFew training samplesInternal combustion piston enginesCharacter and pattern recognitionPattern recognitionEngineering
The invention relates to the technical field of image recognition, and aims to provide an intensive target detection metering method. The method comprises the following steps: inputting a to-be-detected original image into an intensive target detection model; enabling the intensive target detection model to position a target area in the original image, and then output a bounding box of the targetarea; cutting the original image according to the bounding box of the target area to obtain a target image and positioning information of the target image, and inputting the target image into a classification model; enabling the classification model to perform image classification on the target image to obtain category information of the target image; and integrating the positioning information and the category information of the target image, and filtering redundant images in the target image to obtain the positioning information and the category information of the intensive target. Accordingto the method, required training samples are reduced, the acquisition cost is reduced, and meanwhile, rapid iterative updating can be realized.
Owner:广州众聚智能科技有限公司
Writing method of TLC NAND FLASH solid-state disk
InactiveCN108733318AImprove access performanceIncrease write speedInput/output to record carriersWaste collectionSolid-state drive
The invention relates to a writing method of a TLC NAND FLASH solid-state disk. The solid-state disk comprises single-layer storage units and a three-layer storage unit. The method comprises the following steps of: S1, giving a writing instruction by a main control end of the solid-state disk and writing data into an SLC data buffer area; S2, when a preset quantity of single-layer storage units isfully written with the data, distributing a copy and write-back instruction; S3, writing the data in the preset quantity of single-layer storage units into the three-layer storage unit; and S4, updating a physical pair logic mapping tale corresponding to the three-layer storage unit. Through implementing the method, the data writing speed of the main control end can be improved, the reading timecan be shortened, the waste collection frequency of the solid-state disk can be decreased and then the access efficacy of the solid-state disk can be improved.
Owner:YEESTOR MICROELECTRONICS CO LTD
Injector defect detection method based on semantic segmentation
ActiveCN110910368AReduce the number of collectionsLow costImage enhancementImage analysisData setImaging processing
The invention provides an injector defect detection method based on semantic segmentation. The injector defect detection method comprises the following steps: S1: performing syringe image acquisition,S2, converting a json file into a png mask picture by using a code; S3, performing image processing, thus completing the manufacturing of an injector data set; S4, constructing a full convolutional neural network model; inputting the training data set into a semantic segmentation network; and iterating the model parameters to obtain a convergent segmentation model; S5, testing a model, inputtingthe test data set into a semantic segmentation network, and obtaining injector segmentation maps; S6, exporting a model file; and S6, carrying out defect detection through a semantic segmentation network. The injector defect detection method performs defect detection through the semantic segmentation network, automatically judges whether the injector has defects or not is faster and more accurate,is quicker and more accurate, compared with traditional manual detection, can improve the automation degree of the manufacturing process, can greatly reduce the enterprise cost, and meanwhile, can improve the productivity.
Owner:FOSHAN NANHAI GUANGDONG TECH UNIV CNC EQUIP COOP INNOVATION INST +1
Food data analysis method based on cloud computing
InactiveCN107273886AUnderstand the processImprove supervisionCharacter and pattern recognitionComputer terminalMulti aspect
The invention belongs to the field of food inspection technology, and discloses a food data analysis method based on cloud computing. The food data analysis method based on the cloud computing includes the steps of photographing information of a food production process by a camera unit; processing, by a processing unit, information transmitted by the camera unit; the processing unit identifying the information through a built-in image identification and determination module; transmitting the processing unit information to a monitoring unit through a wireless routing unit; the monitoring unit monitoring the information transmitted by the routing unit through a network cloud server; sending out a warning prompt on illegal information; and carrying on multi-aspect control through data sharing between the network cloud server and the monitoring unit by using a mobile terminal. According to the invention, the supervision is greatly enhanced, a more accurate understanding of the processing process of a factory is gained, the processing process is more transparent, opportunistic and irregular production methods are eliminated, and black-hearted manufacturers are also restrained from producing harmful foods; and at the same time, the examination work is better facilitated.
Owner:湖北泰拓物联科技有限公司
High-speed evanescent field frequency shift super-resolution microscopic imaging system and imaging method
ActiveCN112213865AReduce the number of collectionsFast imagingMicroscopesOptical diffractionFrequency spectrum
The invention discloses a high-speed evanescent field frequency shift super-resolution microscopic imaging system and imaging method, and the method comprises the steps: employing an on-chip light-emitting device to generate evanescent fields with three wavelengths transmitted in the same direction at the same time, and employing a color camera to collect a frequency shift image generated by the three-wavelength evanescent fields which illuminate in the same direction at the same time, wherein the three wavelengths correspond to frequency shift signals of three wave bands of red, green and blue, and the illumination of each wavelength has different frequency shift amounts. In the image reconstruction process, multi-wavelength information shot at the same time is separated out to be subjected to interpolation processing, and therefore sample information with different frequency shift amounts and different illumination directions is obtained. And finally, image reconstruction is carriedout, high-frequency and low-frequency spectrums of the sample in different directions are spliced by using a splicing algorithm in a spectrum space, and finally, a high-resolution image breaking through the optical diffraction limit of the traditional microscope is recovered. According to the invention, under the condition of sacrificing a certain image sampling rate, the image acquisition quantity of the evanescent field frequency shift super-resolution method can be effectively reduced, and the imaging speed is improved.
Owner:ZHEJIANG UNIV
Large-scale commodity identification method based on deep learning
PendingCN110458096AHigh precisionReduce training difficultyCharacter and pattern recognitionReusabilityWorkload
The invention belongs to the technical field of image recognition, and discloses a large-scale commodity recognition method based on deep learning, and the method comprises the following steps: S1, building a commodity detection model; S2, inputting a to-be-detected picture into the commodity detection model, and obtaining all commodity positioning data in the to-be-detected picture; S3, establishing a commodity classification model; and S4, inputting the to-be-detected picture into the commodity classification model, and obtaining corresponding commodity category data according to all the commodity positioning data. The method solves the problems that in the prior art, the precision is difficult to meet the requirements of large-scale projects, the requirements of training samples are extremely high, rapid iterative updating cannot be realized, the reusability of the samples is low, the equipment requirements are high, the feature expression capability is limited, the workload is hugeand the operation speed is low.
Owner:广州众聚智能科技有限公司
Image processing system in orthopedic anesthesia based on optimized sedation management and regional blocking
InactiveCN108784836ARealize measurementHigh precisionUltrasonic/sonic/infrasonic diagnosticsSurgical navigation systemsReal time navigationImaging processing
The invention belongs to the technical field of image processing, and discloses an image processing system in orthopedic anesthesia based on optimized sedation management and regional blocking. The image processing system comprises an ultrasonic image obtaining module, an operation state detection module, a main control module, an image processing module, a three-dimensional navigation module, a storage module and a display module. Through the image processing module, a doctor is prevented from manually identifying lesion tissue, the image identifying efficiency is improved, the doctor does not need to have a high lesion identification ability, and the labor cost is reduced. Through the three-dimensional navigation module, a virtual bone image of a surgical spot of a user and a three-dimensional image of the specific location, where a surgical instrument enters, in the user body are overlaid on a real vision of the doctor, in the surgical process, real-time navigation is conducted, thesurgical operation efficiency of the doctor is greatly improved, and a surgery is more safely, accurately and efficiently implemented.
Owner:THE FIRST AFFILIATED HOSPITAL OF ANHUI MEDICAL UNIV
Flash memory address translation layer system
ActiveCN101256536AReduce capacity and frequencyReduce the number of times and occupy capacityMemory adressing/allocation/relocationData bufferLogical address
A flash memory address translation layer system connected with a flash memory and an EMS read / write controller comprises: an instruction buffer for connecting with the EMS memory read / wrote controller; a logical address buffer for connecting the EMS memory read / wrote controller; a data buffer for connecting with the EMS memory and the EMS memory read / wrote controller; a pair of assistant controller for providing an instruction assistant function for controlling data's read / write; a microprocessor for connecting the instruction buffer and two assistant controllers; an address translation unit for connecting the microprocessor; a flash memory address buffer for connecting with the assistant controller, address translation unit and the flash; a adjustable address translation layer unit for connecting with an assistant controller; a quick fetch instruction and data buffer for connecting with the adjustable address translation unit. The invention can greatly reduce the number of invalid data collection and occupy capacity of the flash memory, and has a quick mechanism with space efficiency to improve and quicken the efficiency which the logical address corresponds to the real flash address.
Owner:GENESYS LOGIC INC
21-trisomy syndrome prenatal screening kit
InactiveCN101560565AEasy to getEasy to cultivate successMicrobiological testing/measurementDNA/RNA fragmentationAgricultural scienceTrisomy
The invention discloses a 21-trisomy syndrome prenatal screening kit. The kit provided by the invention comprises a primer pair A, a primer pair B, a primer pair C and a primer pair D; the primer A consists of nucleotides represented by a sequence 1 in a sequence table and nucleotides represented by a sequence 2 in the sequence table; the primer pair B consists of nucleotides represented by a sequence 3 in the sequence table and nucleotides represented by a sequence 4 in the sequence table; the primer pair C consists of nucleotides represented by a sequence 5 in the sequence table and nucleotides represented by a sequence 6 in the sequence table; and the primer pair D consists of nucleotides represented by a sequence 7 in the sequence table and the nucleotides represented by a sequence 8 in the sequence table. The kit of the invention applied to 21-trisomy syndrome prenatal screening has the advantages of innovating specimen material, making prenatal screening earlier, reducing specimen acquisition amount, reducing diagnosis time, and judging extra chromosome resources. The kit has far-reaching significance for finding the causes of chromosomal disorder and in-time prevention and control of the chromosomal disorder.
Owner:PEKING UNIV THIRD HOSPITAL
A microblog information priority collection method based on multiple strategies
ActiveCN109670136AReduce the number of collectionsTimely collectionWebsite content managementSpecial data processing applicationsMicrobloggingCollection methods
The invention relates to a microblog information priority collection method based on multiple strategies, which can timely and effectively obtain the information of a blogger by constructing a multi-strategy priority collection method under the condition of limited collection capability. The method comprises the steps of firstly, constructing a classification model to screen bloggers, removing junk bloggers, and dividing the remaining bloggers into three categories according to the number of microblogs and the number of fans; secondly, aiming at different types, constructing different acquisition strategies; clustering the blog sending time of the large V bloggers, and extracting the optimal collection time of the large V bloggers; and through the microblog statistics of the bloggers, training a regression model, predicting the activity values of the bloggers, and sorting the bloggers according to the activity values; and finally, designing a multi-strategy microblog priority acquisition method by integrating the three types of acquisition strategies, and maintaining the timeliness of the acquisition strategies by periodically updating the acquisition queue. Experiments show that the hotspot microblog information can be effectively obtained in time, and the collection number is greatly increased.
Owner:BEIJING UNIV OF TECH
Granary grain storage quantity parallel detection method
PendingCN111915246AReduce the number of collectionsIncrease diversityLogisticsNeural learning methodsApplications of artificial intelligenceFuzzy inference
The invention belongs to the technical field of application of artificial intelligence to grain storage, and particularly relates to a granary grain storage quantity parallel detection method, which comprises the following steps of: firstly, generating virtual data samples according to real data samples by adopting a mixed data generation method, and then inputting the virtual data samples into parallel detection models, wherein a primary layer adopts decomposition condition fuzzy reasoning to perform feature extraction, realizing virtual and real data feature interaction through a feature sharing layer, realizing multi-layer feature extraction according to target function design, and then outputting the grain quantity through a regression layer; in order to further improve the generalization ability, adopting an interval type-2 fuzzy integrated virtual-real interaction parallel detection model, and finally outputting an interval type-2 fuzzy reasoning system driven by real data. The granary grain storage quantity parallel detection method is high in detection result precision and high in model generalization capability, and has important technical application and popularization values.
Owner:HENAN UNIVERSITY OF TECHNOLOGY
Vehicle damage detection model training method and device, vehicle damage detection method and device, equipment and medium
ActiveCN111680746AReduce the number of collectionsImprove recognition accuracyInternal combustion piston enginesFinanceModel extractionSimulation
The invention relates to the field of artificial intelligence classification models. The invention provides a vehicle damage detection model training method and device, a vehicle damage detection method and device, equipment and a medium. The method comprises the following steps: inputting a vehicle loss sample set containing vehicle loss sample images into a vehicle loss detection model for training, extracting loss texture features through the vehicle loss detection model based on InceptionV4 model architecture, and obtaining at least one prediction result; obtaining an identification resultthrough adoption of a GIOU method and a soft-NMS algorithm; determining a first loss value through a GIOU loss algorithm, and determining a second loss value through adoption of a multi-classification cross entropy method; determining a total loss value according to the first loss value and the second loss value; and when the total loss value does not reach the preset convergence condition, iteratively updating the initial parameters of the vehicle loss detection model until the total loss value reaches the preset convergence condition, and recording the converged vehicle loss detection modelas a trained vehicle loss detection model. According to the invention, the vehicle damage type and the vehicle damage area can be quickly identified.
Owner:PING AN TECH (SHENZHEN) CO LTD
A method and apparatus for determining a storage area of an article
ActiveCN109255563AReduce the number of collectionsImprove delivery efficiencyLogisticsDatabaseType number
A method and apparatus for determining a storage area of an article are disclosed. One embodiment of the method includes obtaining an area number of at least two storage areas where items of at leasttwo orders in a target order group are located, and obtaining an item type number of items stored in the at least two storage areas; Acquiring a storage area in which each of the at least two storageareas is located; determining a storage area in which various items in the at least two storage areas will be stored when a span ratio is minimized, based on the number of areas, the number of item types, and the storage area in which each item in the at least two storage areas is located. Embodiments of the present application reduce the number of times when items are assembled from each storagearea by determining a storage area where items will be stored when the span ratio is minimized, and improve the warehousing efficiency of the items.
Owner:BEIJING JINGDONG SHANGKE INFORMATION TECH CO LTD +1
A continuous scanning structured light three-dimensional surface shape vertical measurement method
ActiveCN104061879BHigh precisionAvoid interactionUsing optical meansSinusoidal gratingContinuous scanning
Owner:SICHUAN UNIV
Indoor air data analysis method and system based on Internet of Things
PendingCN114638458AReduce the number of collectionsIncrease diversityResourcesIndoor air qualityData set
The invention discloses an indoor air data analysis method and system based on the Internet of Things, and the method comprises the following steps: S1, the system collects indoor air data representing air quality within a preset time, and sets an air data sampling time point as a dynamic adjustment mode in the air data collection process; s2, the system constructs an air sample data set based on a group of air data sequences, and constructs an air quality evaluation model by utilizing a multi-objective optimization strategy based on the air sample data set; and S3, the system collects air data at the current moment in real time and synchronously transmits the air data to the air quality evaluation model to obtain the indoor air quality at the current moment. According to the method, the sampling time point is dynamically adjusted to dynamically adjust the acquisition interval, so that the acquisition quantity of air data with high consistency is reduced, the data redundancy is reduced, the diversity of samples is improved, and the air quality evaluation model is established to improve the real-time performance of monitoring the air quality.
Owner:安徽新识智能科技有限公司
High-sensitivity weak fluorescence signal detection system and method, storage medium and application
ActiveCN112957011AAccurate segmentationPrecise registrationDiagnostics using fluorescence emissionSensorsFluorescenceControl cell
The invention belongs to the technical field of biomedical imaging, and discloses a high-sensitivity weak fluorescence signal detection system and method, a storage medium and application. The high-sensitivity weak fluorescence signal detection system comprises a front fluorescence signal collection module for collecting a weak fluorescence signal, filtering a stray light signal and transmitting the fluorescence signal to a multi-channel space coding module in a blocked way, the multi-channel space coding module for performing block multi-channel space coding on the weak fluorescence signal transmitted by the front fluorescence signal collection module, an array weak signal detection module used for collecting a fluorescence signal coded by the block multi-channel space, converting the fluorescence signal into an electric signal and sending the electric signal to a control and calculation module, and the control and calculation module comprising a control unit and a calculation unit. According to the high-sensitivity weak fluorescence signal detection system, a multi-channel coding strategy is introduced; and in comparison with a space coding single pixel with fluorescence imaging technology, the number of collected fluorescence signals is reduced, and the collection time of weak fluorescence signals and the system imaging time are reduced.
Owner:XIDIAN UNIV
A high-speed evanescent field frequency shift super-resolution microscopic imaging system and imaging method
ActiveCN112213865BReduce the number of collectionsFast imagingMicroscopesOptical diffractionFrequency spectrum
Owner:ZHEJIANG UNIV
Waste oil recovery and flow direction supervision method
PendingCN112058853AReduce all kinds of stressProtect environmentSolid waste disposalTransportation and packagingProcess engineeringOil water
The invention discloses a waste oil recovery and flow direction supervision method. The waste oil recovery and flow direction supervision method comprises the following steps of S1, scanning a code and registering by a user, uploading equipment operation data, and archiving in a supervision background; S2, collecting waste oil; S3, measuring the content of the waste oil; S4, uploading metering data to the supervision background; S5, dispatching staff to recover the waste oil; S6, confirming the recovery cost; and S7, performing statistical management on the quantity and the amount of the recovered waste oil; According to the waste oil recovery and flow direction supervision method provided by the invention, paid recovery can be carried out on the waste oil after oil-water separation, the willingness of merchants to treat waste by themselves is improved, the recovered waste oil can be used for producing biodiesel, various pressures of municipal environmental sanitation are reduced, theenvironment is greatly protected, the problem of difficult recovery of kitchen waste in small and medium canteens and restaurants is solved, the waste collection times and disposal cost are greatly reduced, supervision background data can also provide remote supervision data for government functional departments, and whether the restaurants perform source processing on waste generated by the restaurants or not is judged.
Owner:成都洪蒙环保科技有限责任公司
Data query method and device in database, equipment and storage medium
ActiveCN112199390AQuick searchImprove query speedDigital data information retrievalEnergy efficient computingTable (database)Datasheet
The embodiment of the invention discloses a method, a device and equipment for querying data in a database and a storage medium. The method comprises the following steps of analyzing a received querystatement; determining the query quantity of the data tables in the to-be-queried table set of the query statement when the query statement has the were filtering condition; when the query quantity iswithin a preset quantity range, optimizing statements associated with a target data table in the query statements according to preset statement conversion conditions and statement conversion rules for the target data table selected from the to-be-queried table set to obtain optimized query statements, therefore, data query is carried out according to the optimized query statement, the problem that when multiple data tables are queried, when the number of the data tables exceeds the upper limit of the table number of the sets, the multiple sets need to be divided for query is solved, rapid query of data can be achieved without dividing the data tables into the multiple sets, and cost estimation does not need to be carried out multiple times. The method is advantaged in that processing complexity is reduced, resources are saved, and the query speed is increased.
Owner:SHANGHAI DAMENG DATABASE
An Interactive Modeling Method for Real Trees Based on Sparse Images
InactiveCN103839289BSimple data collectionImprove interactivity3D modellingInteractive modelingMain branch
The invention relates to a method for real tree interactive modeling based on sparse images. The method comprises the steps that an interactive branch extracting and reconstructing module starts from the sequence of n images forming an angle of 90 degrees with an input overlay tree, data of two-dimensional center positions and the diameters of branch nodes of all levels are interactively compiled and stored in the image 1, a branch hierarchical structure is established, the image 1 is searched for the corresponding position of a main branch on the image n with the middle images 2 to n-1 serving as references, the corresponding position of the main branch is marked, interactive compilation is conducted on the image n, and depth information corresponding to the branch node of each level in the image 1 is determined; according to the extracted information of the two-dimensional center positions, the depths and the thicknesses of the branch nodes and based on a branch space bounding box, perspective correction is conducted; a final three-dimensional model is generated by a leaf generating module according to the phyllotaxis rule in the phytology. According to the method, the reconstructed tree model is similar to a real tree form, the topological structure of the branches can be well maintained, and three-dimensional reconstruction of the tree on a common accuracy level is achieved.
Owner:NORTHWEST A & F UNIV
A Multi-Strategy Based Microblog Information Priority Collection Method
ActiveCN109670136BReduce the number of collectionsTimely collectionWebsite content managementSpecial data processing applicationsData miningCollection methods
The invention relates to a multi-strategy-based microblog information priority collection method. In the case of limited collection capability, by constructing a multi-strategy priority collection method, blogger information can be obtained in a timely and effective manner. First of all, the bloggers are screened by building a classification model, spam bloggers are eliminated, and the remaining bloggers are divided into three categories according to the number of microblogs and the number of fans. Second, construct different collection strategies for different categories. By clustering the posting time of the big V bloggers, the best collection time of the big V bloggers is extracted; through the microblog statistics of the bloggers, the regression model is trained and the blogger’s activity value is predicted. According to the activity value, the Bloggers sorted. Finally, a multi-strategy microblog priority collection method is designed by synthesizing the three types of collection strategies, and the timeliness of the collection strategy is maintained by regularly updating the collection queue. Experiments show that the present invention can not only acquire hot microblog information in a timely and effective manner, but also greatly increase the number of acquisitions.
Owner:BEIJING UNIV OF TECH
Syringe Defect Detection Method Based on Semantic Segmentation
ActiveCN110910368BReduce the number of collectionsLow costImage enhancementImage analysisData setImaging processing
The present invention provides a syringe defect detection method based on semantic segmentation, including the following steps, step S1: injector image acquisition, step S2: convert the json file into a png mask image with code, step S3: image processing, that is, the syringe data set is completed production, step S4: build a fully convolutional neural network model, input the training data set into the semantic segmentation network, and obtain a convergent segmentation model after iterating the model parameters, step S5: test the model, and input the test data set into the semantic segmentation network In the segmentation network, obtain the syringe segmentation map, compare the defects on the original image, and judge the segmentation accuracy of the model. Step S6: Export the model file, perform defect detection through the semantic segmentation network, and automatically determine whether the syringe is defective. Compared with traditional manual detection , faster and more accurate, improving the degree of automation of the manufacturing process, can greatly reduce the cost of enterprises, while increasing productivity.
Owner:FOSHAN NANHAI GUANGDONG TECH UNIV CNC EQUIP COOP INNOVATION INST +1
Method and device for carrier aggregation and terminal device
ActiveCN105812104AResolve interferenceReduce the number of collectionsTransmission path multiple useNetwork planningCarrier signalBase station
The invention discloses a method and a device for carrier aggregation and a terminal device, relating to the communication technology field. The method for carrier aggregation comprises steps of receiving pseudo-distribution carriers issued by a base station, detecting whether each pseudo-distribution carrier is occupied, reporting the detection result of each pseudo-distribution carrier to a base station in order to make the base station determine whether to perform aggregation on the pseudo-carrier as a member carrier according to the detection result. The embodiment of the invention can avoid the interference on invoking on the same carrier.
Owner:CHINA TELECOM CORP LTD
Slope leveling method, device and equipment based on GNSS single-antenna satellite
ActiveCN111504267AReduce the number of collectionsReduce the amount of data collectedElectric/magnetic roughness/irregularity measurementsHeight/levelling measurementRemote sensingPhysics
The invention discloses a slope shaping method based on a GNSS single-antenna satellite. The method comprises the steps of: receiving plane coordinate information of a starting collection point and plane coordinate information of an end point collection point, receiving steepness information of a slope to be measured, wherein the extension direction of a straight line determined by the starting collection point and the end point collection point is the same as the projection of the extension direction of the slope to be measured on the horizontal plane; determining a reference equation; determining a vertical line equation; obtaining plane coordinate information of a facade reckoning point; and determining a slope equation according to the plane coordinate information of an initial acquisition point, the plane coordinate information of an end point acquisition point, the plane coordinate information of the facade reckoning point and the steepness information, and carrying out slope preparation. According to the invention, the process is simplified, and the requirement of measurement on a GNSS system is reduced. The invention further provides a slope shaping method, device and equipment based on the GNSS single-antenna satellite and a computer readable storage medium, wherein the slope shaping method, device and equipment have the advantages.
Owner:SHANGHAI ALLYNAV TECH CO LTD
Load balancing method and device
PendingCN113778618AReduce the number of business collectionsReduce the number of collectionsSoftware simulation/interpretation/emulationCluster NodeReal-time computing
The invention relates to the technical field of data processing, in particular to a load balancing method and device. The method is applied to a load balancing system, and comprises: when it is detected that the number of cluster nodes changes, dividing the number of current task sets by the number of current nodes to obtain a quotient d and a remainder n; setting the number of bearable task sets of n first-class nodes with the maximum number of currently borne task sets as d+1, and setting the number of bearable task sets of second-class nodes except the first-class nodes as d; and adjusting the task set currently borne by each node, so that the number of the task sets currently borne by each node is equal to the number of the corresponding bearable task sets.
Owner:NEW H3C BIG DATA TECH CO LTD
A slope adjustment method, device and equipment based on GNSS single-antenna satellite
ActiveCN111504267BReduce the number of collectionsReduce the amount of data collectedElectric/magnetic roughness/irregularity measurementsHeight/levelling measurementRemote sensingReference equation
The invention discloses a slope shaping method based on a GNSS single-antenna satellite. The method comprises the steps of: receiving plane coordinate information of a starting collection point and plane coordinate information of an end point collection point, receiving steepness information of a slope to be measured, wherein the extension direction of a straight line determined by the starting collection point and the end point collection point is the same as the projection of the extension direction of the slope to be measured on the horizontal plane; determining a reference equation; determining a vertical line equation; obtaining plane coordinate information of a facade reckoning point; and determining a slope equation according to the plane coordinate information of an initial acquisition point, the plane coordinate information of an end point acquisition point, the plane coordinate information of the facade reckoning point and the steepness information, and carrying out slope preparation. According to the invention, the process is simplified, and the requirement of measurement on a GNSS system is reduced. The invention further provides a slope shaping method, device and equipment based on the GNSS single-antenna satellite and a computer readable storage medium, wherein the slope shaping method, device and equipment have the advantages.
Owner:SHANGHAI ALLYNAV TECH CO LTD
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