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243results about How to "Reduce sorting time" patented technology
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Method for outputting traffic information in a motor vehicle
InactiveUS6868331B2Easily determineSimple designControlling traffic signalsAnalogue computers for vehiclesDriver/operatorEngineering
The invention relates to a method for outputting traffic information in a motor vehicle. In order to present the driver with traffic information in such a way that he can adapt his driving behaviour and / or his selection of a route for his journey to the respective current traffic situation in time, there is a provision that traffic messages are stored together with the respective position of the route section to which they relate. The positions of the traffic messages are then compared with the respective position of a motor vehicle in which the traffic information is to be output in order to detect the distances between the respective position of the traffic messages and the position of this motor vehicle. The traffic messages are then output sorted according to distances, starting with the smallest distance.
Owner:RPX CORP
Query method, query system and query device based on vertical search
ActiveCN102236663AImprove experienceImprove relevanceDigital data information retrievalSpecial data processing applicationsUser inputIndex term
The invention discloses a query method, a query system and a query device based on vertical search. The method comprises the following steps of: acquiring the query information of a user; retrieving a category model which is matched with the query information in a category model library according to the query information, and generating a first query result according to the retrieved category model, wherein the category model comprises goods categories corresponding to keywords which are input by the user; searching the goods category which is matched with the query information in a goods library according to the query information to generate a second query result; and combining the first query result and the second query result to generate a final query result. By the invention, relevancy between the query results of the user and the query intention of the user is improved, and user experience is improved.
Owner:ALIBABA GRP HLDG LTD
Method for detecting and sorting self-discharge performance of lithium iron phosphate battery
ActiveCN102303023AHigh sorting accuracyReduce sorting timeSortingLithium vanadium phosphate batteryElectricity
The invention relates to a method for detecting and sorting self-discharge performance of a lithium iron phosphate battery. The method comprises the following steps of: charging to less than 70 percent of a SOC ( State Of Charge); 2, storing for a period of time, wherein the period of time is called as a stabilization time; 3, testing an open-circuit voltage of the battery, wherein the tested voltage in the step is called as V1; 4, storing for one period of time, wherein the period of time is called as a self-discharge time; 5, testing an open-circuit voltage of the battery, wherein the tested voltage in the step is called as V2; 6, calculating a voltage drop amount of the battery, the voltage drop amount is called as a delta V, wherein the delta V is equal to the V1 minus the V2; and 7, determining that a battery of which the delta V is greater than a standard value is an unqualified product, and determining that a battery of which the delta V is smaller than the standard value is a good product. According to the method provided by the invention, the self-discharge performance of the lithium iron phosphate battery can be sorted in a short time without needing a high temperature aging, the problem of high detection cost caused by shortening the detection time by using the traditional method needing using the high temperature aging to accelerate the electricity discharge speed is solved.
Owner:WANXIANG 123 CO LTD
Electrocardiogram electrocardiosignal classification method with multi-scale characteristics combined
ActiveCN104367317AImprove classification accuracyReduce sorting timeDiagnostic recording/measuringSensorsClassification resultEcg signal
The invention provides an electrocardiogram electrocardiosignal classification method with multi-scale characteristics combined. The method comprises the steps that (1), all electrocardiosignals in a database are read, and a base line and high-frequency noise in the electrocardiosignals are removed; (2), the electrocardiosignals are divided; (3), wavelet packet decomposition of the electrocardiosignals is calculated, and a fourth layer of wavelet packet decomposition coefficient is obtained; (4), electrocardiosignal characteristics extracted in a plurality of periods are arranged to form M-dimensional data, a generalized multidimensional independent component analysis method is applied to the M-dimensional data, and demixing matrixes of all modes are obtained; (5), a heartbeat signal to be tested is input, the fourth layer of wavelet packet decomposition coefficient is obtained through the step 1, the step 2 and the step 3, M-1-dimensional data are formed in an arranged mode, and the fuse characteristics of the tested heartbeat signal are obtained through the step 4; (6) the heartbeat signal fuse characteristics are classified through a classifier, and then the classification result of multiple normal and abnormal electrocardiosignals is obtained.
Owner:BEIJING INSTITUTE OF TECHNOLOGYGY
Improved safety belt detection method
ActiveCN106295601AImprove detection accuracySolve the low detection accuracyCharacter and pattern recognitionNeural learning methodsAlgorithmTraining methods
The invention provides an improved safety belt detection method. A convolutional neural network (CNN) is used as a training model and is used for solving the problem of an existing deep learning safety belt detection method that the detection accuracy is low. The detection precision of the convolutional neural network is improved through utilizing a novel feedback increment type convolutional neural network training method and a novel multi-branch final evaluation value acquisition method; meanwhile, a method for randomly selecting a safety belt target candidate region in a multi-scale manner is used, and the selecting rate of a safety belt region is increased; and finally, a method for setting a fault-tolerant threshold value by a user is utilized so that the flexibility of detection operation is improved. The improved safety belt detection method is successful application of a CNN structure to safety belt detection; and compared with an existing algorithm, the detection accuracy is improved.
Owner:HEFEI UNIV OF TECH
Neural network training method and junk mail filtering method using same
InactiveCN102214320AImprove robustnessMeet the requirements of filtration technologyData switching networksNeural learning methodsPhases of clinical researchMachine learning
The invention provides a method for training a back propagation (BP) neural network for filtering junk mails. Weights among layers in the BP neural network are adjusted through a studying rate by the method. The method comprises the following steps of: calculating the weight of the keyword of a known mail and target values corresponding to various mail types, wherein the different mail types correspond to the different target values; inputting the weight of the known mail into a BP neural network to be trained to acquire an output value; and calculating an offset between the output value and the target value, if a training termination condition is not met, modifying the weight of the BP neural network and performing a next generation of training until the output value meets the training termination condition, wherein generations in a preset numerical value are set as one stage; and the studying rate is updated once every stage.
Owner:宋威
Sorting technology for coarse coal slurry damping pulsation interference bed
InactiveCN101543802AImprove loose stateReasonable flow distributionWet separationPeristaltic pumpEngineering
The invention discloses sorting technology for a coarse coal slurry damping pulsation interference bed. The sorting technology is formed by the mutual connection of an interference bed sorter, a feeding system, a peristaltic pump, a cleaned coal recovering system, and a water pump, and is characterized in that the inside of the interference bed sorter is added with a plurality of damping blocks and screens; the middle part of the interference bed sorter is connected with the feeding system to form a stable fluid bed; simultaneously, a diaphragm is additionally arranged on the lower part of the interference bed sorter and the upper part of a heavy product discharge port to generate a pulsating flow, so that particles with different densities gain the accelerating effect and retarding effect, and the leading action of the density on the separation effect is strengthened; the peristaltic pump is used for discharging heavy products, so that the processing capability of the equipment is improved; under the conditions of wide particle size range of the coarse coal slurry and heavy processing load, the good separation effect and high separation efficiency can also be achieved by the separation process.
Owner:HENAN POLYTECHNIC UNIV
Method for cooperatively classifying perceived solid wood panel surface textures and defects by feature extraction and compressive sensing based on dual-tree complex wavlet
InactiveCN104392242AImprove classification accuracySimple structureCharacter and pattern recognitionFeature DimensionClassification methods
The invention discloses a method for cooperatively classifying perceived solid wood panel surface textures and defects by feature extraction and compressive sensing based on dual-tree complex wavlet, and relates to the field of solid wood panel surface defect detecting. The method is used for solving the problems of low classifying precision, low classifying efficiency, and the like of the existing solid wood panel surface texture and defect classifying method. The method comprises the following steps: performing feature dimension reduction after performing feature extraction by dual-tree complex wavelet transform on solid wood panel images; classifying optimized feature vectors based on a compressive sensing theory; using the optimized feature vectors as a sample row, and establishing a data dictionary matrix by a training sample matrix; linearly representing a measuring sample by using training samples, calculating a sparse representation vector on a data dictionary of a test sample, and determining the category with smallest residual error as the category of the test sample. Due to good directionality of the dual-tree complex wavlet, complex information of the panel surface can be expressed, and the classifying efficiency can be further improved based on feature selection of a particle swarm algorithm. Compared with the conventional classifier, the compressive sensing classifier is simple in structure and relatively high in classifying precision.
Owner:NORTHEAST FORESTRY UNIVERSITY
Aurora image classification method based on latent theme combining with saliency information
InactiveCN103632166AImprove uniformityAvoid the pitfall of extracting its featuresCharacter and pattern recognitionSupport vector machineDocumentation procedure
The invention discloses an aurora image classification method based on a latent theme combining with saliency information, and mainly solves the problem that existing technical classification is low in accuracy and classification efficiency and narrow in application range. The method includes the implementation steps: (1) preprocessing an aurora image, extracting visual words of the preprocessed aurora image and generating a visual documentation; (2) using a spectral residual algorithm to acquire an aurora saliency map of the inputted aurora image, extracting visual words of the aurora saliency map and generating a visual document of the aurora saliency map; (3) connecting the visual documents in the step (1) and the step (2) to generate a semantic enhanced document of the aurora image, and inputting the semantic enhanced document of the aurora image to a Latent Dirichlet Allocation model to obtain saliency information latent semantic distribution characteristics SM-LDA of the aurora image; (4) inputting the SM-LDA characteristics into a support vector machine for classification so as to obtain a final classification result. By the method applicable to scene classification and target recognition, high classification accuracy is maintained, meanwhile, classification time is shortened, and classification efficiency is improved.
Owner:XIDIAN UNIV
Equipment management system, method and device
ActiveCN105515834AEasy to controlEasy maintenanceBroadcast service distributionLocation information based serviceBroadcastingComputer science
The invention discloses an equipment management system, method and device belonging to the smart home field. The method comprises: after receiving an adding instruction added to a target subgroup by target equipment, sending a broadcast instruction to the target equipment, wherein the broadcast instruction is used for triggering the target equipment to broadcast signals; receiving the signal strength sent by reference equipment, wherein the signal strength is the signal strength of the signals obtained when the reference equipment receives the signals broadcasted by the target equipment; and ordering the reference equipment according to the signal strength fed back by the reference equipment. According to the invention, the problem in related techniques that the grouping mode of searching the intelligent equipment one by one is low in efficiency and high in error rate is solved; a user is enabled to select the equipment possibly located in the same group with the target equipment conveniently; and the grouping efficiency and the grouping accuracy are improved.
Owner:XIAOMI INC
Sub-module layering voltage-sharing method of modularized multi-level current converter
ActiveCN103888003AReduce switching frequencyReduce sorting timeAc-dc conversionCapacitanceCapacitor voltage
The invention discloses a sub-module layering voltage-sharing method of a modularized multi-level current converter. By monitoring the phase of each phase alternating current voltage, the initial on-off state of each bridge arm sub-module, and the maximum value and the minimum value of capacitor voltage, the sub-modules are layered according to a given layering scale factor gamma and a ranking margin factor eta; the sub-modules located at a corresponding layer are ranked and switched according to the current direction of a bridge arm, the switching change of each sub-module, the phase voltage change rate and other comprehensive factors. The sub-module layering voltage-sharing method of the modularized multi-level current converter provides the two creative control indictors, namely the layering scale factor gamma and the ranking margin factor eta, carries out layering processing on the sub-modules from two control dimensions, only carries out ranking processing on the sub-modules at the corresponding layer every time the electric level changes, shortens the time needed by ranking, keeps the current on-off state of the sub-modules as much as possible at the same time, keeps the on-off frequency at a lower level, improves the response speed of a system, and has high engineering application value.
Owner:ZHEJIANG UNIV
RFID wash clothes label and antenna matching property design method thereof
InactiveCN101140634AReduce sorting timeReduce cumbersome operationsRecord carriers used with machinesEngineeringLaundry
The invention provides a RFID laundry tag as well as a relevant antenna matching design method; wherein, the tag comprises a waterproof, fire-resistant and environmental-protection front face material, the first layer of waterproof fire-resistant adhesive agent, a laundry environment matching antenna, an anti-corrosion antenna carrier layer, the second layer of waterproof fire-resistant adhesive agent, a waterproof, fire-resistant and environmental-protection back face material, and a chip; the tag is characterized in high mechanical strength, fire-resistance, waterproof and anti-soaking, and chemical corrosion resistance. The invention can: 1. Lower garment category time and reduce complicated operation; 2. No contradiction happens between clients and laundry shops due to garment loss; 3. Laundry shops can automatically communicate with clients for information, and provide other services with higher added-value and etc.
Owner:ZHONGJING FUDIAN SHANGHAI ELECTRONICS TECHCO LTD
Image classification method based on improved bag-of-visual word model
ActiveCN106934401AReduce computational complexityImprove classification accuracyCharacter and pattern recognitionFine resolutionVisual dictionary
The invention discloses an image classification method based on an improved bag-of-visual word model. The method comprises the following steps: S1, fine-resolution SIFT feature points are extracted; S2, fine-resolution SIFT feature point pairs are extracted; S3, a visual dictionary is built; and S4, image classification is carried out. The method provides a visual phrase building algorithm based on a minimum spanning tree, the minimum spanning tree is built for all fine-resolution SIFT features of each training image, the SIFT feature point pairs are built on the basis, K-means clustering is then carried out, visual phrases containing the space information are thus obtained, the visual words and the visual phrases built by using the above method together build a visual histogram, and image classification is completed through an SVM. The image classification method based on an improved bag-of-visual word model has the beneficial effects that the computation complexity is reduced; the space information between local features is kept; the image classification accuracy is improved; the classification time is reduced; and the method of the invention can be widely applied to fields such as image retrieval, object tracking, scene classification and behavior recognition.
Owner:SHANGHAI NORMAL UNIVERSITY
Centrifugal minitype express item sorting and inputting equipment
Owner:TIANJIN UNIV OF COMMERCE
Intrusion detection method based on fast k-nearest neighbor (KNN) algorithm
ActiveCN103618744AImprove performanceReducing high-dimensional feature setsTransmissionOriginal dataNear neighbor
The invention relates to an intrusion detection method based on a fast k-nearest neighbor (KNN) algorithm. The method comprises the following steps: carrying out data pretreatment; receiving original data of intrusion detection; carrying out data pretreatment on the original data, wherein data pretreatment includes continuous data discretization treatment and character data digitalization treatment; reducing features; carrying out feature reduction on the pretreated data by adopting a mutual information-based feature reduction algorithm; detecting in a classified manner; carrying out classified detection on the data after feature reduction by adopting the fast KNN algorithm, and outputting the classified result. Compared with the prior art, the intrusion detection method has the advantages of high classification effectiveness, high classification accuracy and the like.
Owner:EAST CHINA UNIV OF SCI & TECH
Improved PCAnet-based SAR image classification method
ActiveCN105913081AOvercoming training complexity issuesImprove training efficiencyCharacter and pattern recognitionFeature vectorComputation complexity
The invention discloses an improved PCAnet-based SAR image classification method which mainly solves a problem that high classification computation complexity and low classification computation efficiency are caused by low filter initialization efficiency and slow renewal learning of in synthetic aperture radar high resolution SAR image classification processes via technologies of the prior art. The improved PCAnet-based SAR image classification method comprises the following steps: (1) a step of data reading, (2) a step of slicing, (3) a step of normalization pretreatment, (4) a step of extracting an image low frequency component, (5) a step of training a principle component analysis net PCAnet, (6) a step of obtaining characteristic vectors of a test set, (7) a step of classification accuracy calculation and (8) a step of outputting a classification result. The improved PCAnet-based SAR image classification method is advantaged by short SAR image classification time and high classification accuracy.
Owner:XIDIAN UNIV
Method for plastic sample element identification based on laser-induced breakdown spectroscopy
ActiveCN107677640AReduce occupancyRealize automatic identificationColor/spectral properties measurementsNist databaseLaser-induced breakdown spectroscopy
The invention discloses a method for plastic sample element identification based on laser-induced breakdown spectroscopy. The method includes a step (1) of establishing an elemental characteristic line database based on an NIST database; a step (2) performing an experiment on a plastic sample through am LIBS device to obtain a plastic sample 2D data matrix; a step (3) of performing baseline correction on LIBS spectra based on a discrete wavelet transform method; a step (4) of performing spectral peak identification on the corrected spectra according to a continuous wavelet transform method; and a step (5) of comparing data in LIBS with data in the established characteristic line database to determine an element attribution of a spectral peak. According to the method, elements in the plastic sample can be automatically identified, the influence of garbage on the recognition process is reduced, and the goals of improving the element identification accuracy rate, reducing the classification time, and reducing the calculation cost are achieved.
Owner:JILIN UNIV
Automatic Sorting System and Sorting Robot
An automatic sorting system and an automatic sorting robot comprise a robot (10), a sorting unit (20) and a sorting storage device (30), and a robot (10) for obtaining the goods to be sorted and putting the goods to be sorted into the corresponding target sorting port (201) or target sorting cabinet (301) according to the information of the destination of the goods to be sorted. The motion path planning complexity of the robot (10) putting the goods to be sorted into the target sorting outlet (201) is lower than that of the robot (10) putting the goods to be sorted into the target sorting cabinet (301).
Owner:SHENZHEN DORABOT ROBOTICS CO LTD
Automatic text classification method for power grid user fault repair work orders
InactiveCN110232188AImprove service qualityImprove accuracySemantic analysisCharacter and pattern recognitionQuality of serviceFeature extraction
The invention relates to an automatic text classification method for power grid user fault repair work orders. The automatic text classification method comprises the steps: firstly, conducting word segmentation on data of a text data set of a power grid user fault repair work order, filtering stop words and training word vectors, wherein a Word2vec method is adopted to train word vectors and Word2vec learns distributed expression of the text, vectorizing the text, and expressing the text through the word vectors; and loading the trained word vectors into a convolutional neural network for feature extraction and model training, and finally outputting probability distribution on each label to obtain a classification result. Compared with a traditional text classification method, the automatic text classification method obviously improves the accuracy, and greatly shortens the classification time. Meanwhile, the automatic text classification method can help the power grid department morereasonably configure various emergency maintenance resources, thus greatly shortening the fault maintenance time, and facilitating the improvement of the service quality of the power grid department.
Owner:SHANGHAI UNIVERSITY OF ELECTRIC POWER
Method for sorting recyclable logistics implements attached with wireless tags
The invention discloses a method for sorting recyclable logistics implements attached with wireless tags. The method comprises the following steps: a mobile terminal is set, and then the sorting is started; a person holding the mobile terminal begins to walk around the recyclable logistics implements to be sorted, and utilizes the mobile terminal for calculating own relative geographical positions in a real-time manner and detecting a plurality of RSSI values within and outside a target scope while walking; after the walking process is partly finished, spatial calculation is carried out for deciding which signals corresponding to the RSSI values are located on one side of a delineated topological graph formed in the walking process, so as to complete the sorting process. Through the adoption of the method, the conventional equipment can be conveniently utilized for quickly sorting the recyclable logistics implements, so that time is saved, and cost is reduced.
Owner:SHANGHAI HONGYAN RETURNABLE TRANSIT PACKAGINGS CO LTD
Information recommendation result sorting method and device and server
InactiveCN107885886AAdd multi-dimensional information featuresIncrease the combinationSpecial data processing applicationsData miningData science
The invention provides an information recommendation result sorting method and device and a server. The information recommendation result sorting method comprises the steps that a sorting model for sorting information recommendation results is established according to information characteristics in the known information recommendation results; the information characteristics corresponding to the known information recommendation results are obtained from the information to be sorted; according to the information characteristics in the information to be sorted, the sorting model is utilized to sort the information to be sorted, and then the sorted information recommendation results are sent to a user. One of the above technical schemes has the following advantages that the sorting model forsorting information recommendation results is established according to information characteristics included in the known information recommendation results, multi-dimension information characteristicsand characteristic combination can be increased, the characteristic complexity is reduced, and the sorting performance is greatly improved through reasonable characteristic calculation.
Owner:BAIDU ONLINE NETWORK TECH (BEIJIBG) CO LTD
Automatic secondary-packaging molding production line
ActiveCN105633478ARealize fully automatic productionIncrease productivityAssembling battery machinesFinal product manufactureProduction lineEconomic benefits
The invention discloses an automatic secondary-packaging molding production line. The production line comprises a feeding unit, a packaging unit, a molding unit and a discharging unit, wherein the feeding unit comprises a feeding pull band; the packaging unit comprises a primary-packaging station and a primary-cutting station; the primary-packaging station is arranged close to the primary-packaging correction station; an upper packaging cavity, a low packaging cavity and a movable cavity are formed in the primary-packaging station; the primary-cutting station is provided with a primary-cutting mechanism for cutting sealing edges of cells; the molding unit comprises a cell transfer mechanism, and a fine packaging mechanism, a rolling wheel edge-folding mechanism, an adhesive dispensing mechanism, a thermoprint edge-folding mechanism, and a second weighing station arranged on the two sides of the cell transfer mechanism in sequence; and the discharging unit comprises a discharging pull band. According to the automatic secondary-packaging molding production line, the feeding unit, the packaging unit, the molding unit and the discharging unit are integrated on one equipment, so that the fully automatic production of a softly-packaged lithium battery from feeding to discharging can be realized; and therefore, the production efficiency of the lithium battery is improved, the productivity is improved, the production cost is lowered, and the economic benefit is increased.
Owner:DONGGUAN HONBRO LI BATTERY EQUIP TECH
Robot sorting system for soft capsules and method thereof
The invention discloses a robot sorting system for soft capsules and a method thereof. The robot sorting system for the soft capsules comprises a workbench, wherein a vibratory feeding mechanism, a weighing and distributing mechanism, a first movable conveying mechanism, a first visual recognition mechanism, a second movable conveying mechanism, a second visual recognition mechanism and a sorting robot, wherein the weighing and distributing mechanism is arranged at an outlet end of the vibratory feeding mechanism; the first movable conveying mechanism and the second movable conveying mechanism are arranged on two sides of the weighing and distributing mechanism in parallel; the first visual recognition mechanism and the first movable conveying mechanism are arranged on the same side and are located at the upper end of the first movable conveying mechanism; the second visual recognition mechanism and the second movable conveying mechanism are arranged on the same side and are located at the upper end of the second movable conveying mechanism; the sorting robot is located between the first movable conveying mechanism and the second movable conveying mechanism. The system also comprises a controller. The robot sorting system for the soft capsules is high in sorting accuracy, high in accuracy rate and high in automation degree; the manpower consumption and the cost are reduced.
Owner:XIAMEN AEROSPACE SIERT ROBOT SYST CO LTD
Multi-labeled scene classification method based on incremental linear discriminant analysis
ActiveCN104809475AThe description is rich and specificImprove classification accuracyCharacter and pattern recognitionClassification methodsSingle label
The invention discloses a multi-labeled scene classification method based on incremental linear discriminant analysis and mainly solves the problems of the prior art in image dimensional reduction and multi-label classification. The method includes: decomposing a multi-label into a plurality of single labels; using an initial sample to compute a transformation matrix for initial linear discriminant analysis, using an added sample to incrementally updating the transformation matrix for initial linear discriminant analysis, and projecting high-dimensionality data to a low-dimensionality space; randomly selecting training samples and test samples from a sample set subjected to dimensional reduction, and using a single-sample multi-labeled K-nearest neighbor classifier to classify feature samples subjected to dimensional reduction so as to obtain test sample output values; predicting labels of the test samples to obtain classification results. The method has the advantages that classification precision is higher, classification time is shorter and the multi-labeled data of high quantity, high dimensionality and high diversity can be quickly and accurately classified.
Owner:XIDIAN UNIV
Efficient sorting method and efficient sorting system
The invention relates to an efficient sorting method which comprises the following steps: displaying pre-sorted cargo information comprising pre-delivery warehouse information; if the received current sorted cargo information is matched with the pre-sorted cargo information, driving indicating equipment of a warehouse position corresponding to the pre-delivery warehouse information to work to indicate the warehouse position of the current sorted cargo according to the pre-delivery warehouse information in the pre-sorted cargo information. The problems that the existing sorting process is complicated and has a long period are solved. In the cargo sorting process, a specific indication can be given to an operator, so that the sorting error is prevented and the sorting efficiency is improved. The sorted commodities are photoelectrically indicated, so that the stacking and arrangement process of cargo is shortened. Therefore, the sorting time is shortened, the manual taking step is simplified, the possibility of deterioration of fresh commodities, especially for products of which the quality is greatly influenced by temperature, is reduced, and the timely sorting of cargo is ensured, and thus the logistics period and the transaction validity are improved.
Owner:北京任我在线电子商务有限公司
Circuit board with quality identification tag and identification method thereof
InactiveCN103118482AReduce sorting timeImprove utilizationPrinted circuit detailsPrinted circuit manufactureEngineeringBiological activation
The invention provides a circuit board with a quality identification tag, and the circuit board with the quality identification tag includes a primary board, plural secondary boards, two first main identification points and plural first sub identification points, wherein the primary board includes a product area and two first identification areas, the two first identification areas are arranged on both sides of the product area, the plural secondary boards are arranged in the product area, the two first main identification points are respectively arranged in the two first identification areas, of the plural first sub identification points are equivalently arranged in the two first identification areas, and each two of the first sub identification points are arranged relatively on both sides of each sub secondary board. When at least one of the secondary boards is a bad product in the product area, the first main identification points are covered with tags; when the secondary boards are bad, the first sub identification points relative to both sides of the secondary boards are covered with the tags. The circuit board with the quality identification tag and an identification method of the circuit board with the quality identification tag can shorten the time of classifying different qualities of boards, improve finished product yield and activation of a drilling crew, and meet the identification conditions of different kinds of production devices over bad boards.
Owner:威力盟电子(苏州)有限公司 +1
Method for discriminating lung tumor CT image by adopting high-dimensional feature selection
InactiveCN109978880AImprove rationalityImprove convenienceImage enhancementImage analysisImage databaseWilms' tumor
The invention discloses a method for carrying out benign and malignant discrimination on a lung tumor CT image by adopting high-dimensional feature selection, and the method comprises the steps of obtaining a lung tumor CT image with a clear diagnosis conclusion in a lung image database, and forming a single sample; segmenting the preprocessed ROI by adopting a maximum between-cluster variance method so as to accurately describe the shape, texture and gray features of the lung tumor CT image; carrying out region feature extraction on the obtained lung CT image, and carrying out 82-dimensionalfeature component normalization on the extracted features so as to jointly quantify the ROI; carrying out attribute reduction by utilizing BRS and GA algorithms to reduce the time complexity and the space complexity of the classifier and improve the classification performance; and carrying out parameter global optimization and classification operation by using a cuckoo algorithm and an SVM mode, and carrying out lung tumor high-dimensional feature selection. The method has a very good auxiliary effect on lung cancer diagnosis, and the missed diagnosis rate and the misdiagnosis rate can be effectively reduced.
Owner:HARBIN UNIV OF SCI & TECH +1
Hadoop platform based image classification method
InactiveCN106203508AImprove classification accuracyReduce sorting timeCharacter and pattern recognitionFeature extractionClassification methods
The invention relates to a Hadoop platform based image classification method, which comprises the following steps: extracting the Sift features of an image; generating a SIFT characteristic database of a training image; using the Sift features to generate a BoVW visual dictionary; after the extraction of the BoVW model dictionary, comparing the training image already undergoing characteristic extraction with the dictionary and representing the training image as a dictionary-based histogram vector; using the histogram vector of the training image as the training input for a random forest classifier, and designing the parallelization of the classifier on Hadoop; and for test images in need of classification, performing features extraction and histogram vectorization successively before being inputted into a classifier for parallel classification on the Hadoop platform. The method of the invention not only has better classification accuracy, but also effectively reduces the classification time, and can be well applied to the large-scale image classification scenarios.
Owner:TIANJIN UNIV
Community express logistics storage and intelligent sorting system
PendingCN108876264AImprove delivery efficiencyShorten sorting timeCo-operative working arrangementsLogisticsLogistics managementDelivery efficiency
The embodiment of the present invention discloses a community express logistics storage and an intelligent sorting system. The system comprises an express storage compartment, an unmanned aerial vehicle, a cloud service platform and a sorting robot. The express storage compartment and the unmanned aerial vehicle establish communication connection with the cloud service platform; each community isfixedly arranged numbers in advance; the sorting robot scans and identifies address information on an express, big data of the cloud service platform is transferred to spray the numbers and two-dimensional codes of the destination communities on express, send the numbers and two-dimensional codes of the destination communities to the cloud service platform or a control center and send the numbersand two-dimensional codes of the destination communities to receiving clients, the sorting robot performs sorting according to areas, puts city-wide expresses into a city-wide cargo box to facilitatetimely delivery, and puts expresses except the city-wide expresses to the other cargo box to send the expresses except the city-wide expresses to an area sorting center; the cloud service platform isconfigured to control the flight routes of the unmanned aerial vehicle and process special conditions; and the unmanned aerial vehicle is employed to transport cargo to avoid a delay delivery phenomenon of human factors such as traffic jam and improve the delivery efficiency.
Owner:北京环球之翼航空科技有限责任公司
Horizontal type cigarette carton sorting mechanism
A horizontal type cigarette carton sorting mechanism comprises a sorting device and a main conveyor belt. The sorting device comprises a rack, and a conveying rolling way is arranged on the rack. A replenishment tipper hopper is arranged at the front end of the conveying rolling way, and a separation rolling way is connected to the tail end of the conveying rolling way. A sorting bin is arranged at an outlet end of the separation rolling way, and a pusher mechanism for pushing a stack of cigarettes into the sorting bin is arranged above the separation rolling way, and the pusher mechanism comprises a pusher plate, a power device and a guide rail which are capable of moving up and down and moving horizontally. The horizontal type cigarette carton sorting mechanism has the advantages that the drawing speed of cigarette cartons and the speed of the main conveyor belt are homodromous and synchronous by means of arranging the cigarette outlet direction of the cigarette outlet and the main conveyor belt in parallel. Phenomena of rolling, inclination, overlapping and the like of cigarette cartons cannot occur even when the cigarette cartons are drawn rapidly, and not only the sorted orderly and dense cigarette cartons are convenient for subsequent stacking packaging, but also the cigarette carton capacity per unit length of the main conveyor belt is increased; besides, the main conveyor belt is long, accordingly, the capacity is larger, and the efficiency is higher than the prior art.
Owner:中山市平连精机科技有限公司
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