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Method for preparing multiwalled carbon nanotube through microwave enhanced fast pyrolysis of biomass and/or carbonaceous organic waste
ActiveCN104787747AFast pyrolysisReduce manufacturing costMaterial nanotechnologyMean diameterMicrowave cavity
The invention discloses a method for preparing a multiwalled carbon nanotube through microwave enhanced fast pyrolysis of biomass and / or carbonaceous organic waste. The method comprises the following steps: biomass, carbonaceous organic waste, a mixture of the biomass and carbonaceous organic waste or a mixture of the biomass and carbonaceous organic waste uniformly mixed with a microwave absorbent is placed in a reaction vessel in a microwave cavity; an inert gas is introduced into the reaction vessel until an oxygen-free environment is formed; the microwave input power is adjusted to be higher than 500w, and the reaction vessel is heated to 400-1,500 DEG C for a pyrolytic reaction; the multiwalled carbon nanotube is obtained after the reaction. The method for preparing the multiwalled carbon nanotube is cheap and easy, the prepared carbon nanotube is curly, has the mean diameter of 3 nm-200 nm, can be applied to the fields of composites, electrode materials, catalyst preparation and the like and has a broad application prospect.
Owner:THE UNIV OF NOTTINGHAM NINGBO CHINA
Single image rain line removal method based on deep convolutional neural network
InactiveCN108765344AArchitecture depthFew parametersImage enhancementImage analysisImaging processingNetwork architecture
The invention discloses a single image rain line removal method based on the deep convolutional neural network. The method comprises steps that firstly, a rain image is decomposed into a low frequencyreference layer and a high frequency detail layer through utilizing guided filtering; secondly, a target function is modified according to the knowledge of the image processing domain, the high frequency detail layer of the rain image is inputted into the designed deep learning network architecture, and mapping between the high frequency detail layer of the rain image and the high frequency detail layer of a sharp image corresponding to the rain image is learned; and lastly, the rain-removed high frequency detail layer outputted by the network and the low frequency reference layer of the rainimage are superposed to obtain the rain-removed sharp image. The method is advantaged in that the detail part of the rain-removed image is remained when rain lines of a single image are removed, andthe image sharpness degree is greatly improved.
Owner:NANJING UNIV OF INFORMATION SCI & TECH
Multi-document subject discovery method based on two-layer clustering
InactiveCN104778204ASolve the "non-orthogonal" caseReduce the dimensionality of the eigenvector spaceSpecial data processing applicationsFeature vectorAlgorithm
The invention discloses a multi-document subject discovery method based on two-layer clustering. The multi-document subject discovery method comprises the following steps: S1 using a plurality of documents as input, pretreating each document, i.e. the documents are broken up into clauses, and the clauses are broken up into words, so as to obtain a noun group and a verb group in a multi-document group, and performing emantic disambiguation processing on polysemes in the noun group and the verb group; S2 respectively performing word clustering analysis on the noun group and the verb group which are output in the step S1 according to word similarity by adopting an improved OPTICS algorithm, extracting semantic concepts, and establishing vector space models on the clauses according to the semantic concepts; S3 performing clustering analysis on the clauses by using an improved K-medoid algorithm, so as to obtain a subject. Inner semantic relations between words are extracted by the multi-document subject discovery method, and the problem of non-orthogonality among feature items when feature vectors of the clauses are established is solved.
Owner:SOUTH CHINA UNIV OF TECH +2
Method and device for evaluating uniformity of cascaded battery packs
ActiveCN107093775AImplementation of Consistency EvaluationHelp diggingSecondary cells servicing/maintenanceTechnical supportOnline evaluation
The embodiment of the invention discloses a method and device for evaluating the uniformity of cascaded battery packs. According to the method and the device, the disadvantages that the difference of intrinsic parameters (such as open-circuit voltage, available capacity and internal resistance) of single batteries in the battery packs is difficult to be truly described, evaluation indexes are not comprehensive enough, and the applicability is relatively poor in an existing uniformity online evaluation technique are solved. A distance similarity index calculation method based on a dynamic time warping strategy is developed based on a measured voltage curve of the single batteries, influence factors which cause the voltage difference of the single batteries due to different SOCs can be eliminated in a self-adaption manner, the evaluation of operational characteristic difference of the single batteries in charging-discharging processes is realized, and compared with an existing uniformity extraction method based on voltage difference of each discrete moment, intrinsic information of the batteries is assisted to be excavated; and on this basis, an abnormal battery statistics recognition method based on a stepwise iteration strategy is developed, the uniformity evolution of the cascaded battery packs is realized, and the effective technical support is provided for operation maintenance.
Owner:GUANGDONG ELECTRIC POWER SCI RES INST ENERGY TECH CO LTD
Internet traffic analysis method based on traffic graphs
InactiveCN105450434AEasy to grasp the essential lawsReduce complexityData switching networksTraffic capacityThe Internet
The invention discloses an Internet traffic analysis method based on traffic graphs, specifically comprising the following steps: (1) collecting flow information generated at different time through traffic monitoring equipment in a network, wherein each piece of the collected traffic information corresponds to a traffic record; (2) establishing a traffic graph for the collected traffic information; (3) establishing a core traffic graph G2 based on the basic traffic graph G1; and (4) comparatively analyzing the statistical characteristics of the basic traffic graphs and the core traffic graphs formed based on different application traffics to obtain the distribution between important nodes and the connectivity between important nodes and non-important nodes. According to the invention, the traffic graphs are established by starting from actual traffic data, and the interaction behavior of network users is characterized accurately; and important nodes and edges are extracted from the basic traffic graph, the essential law of traffic interaction is easy to grasp, and the complexity of large-scale data analysis is reduced.
Owner:SUZHOU DASHUJU INFORMATION TECH CO LTD
Rebate platform and method based on graded accumulated points
The invention discloses a rebate platform and method based on graded accumulated points. The rebate platform based on graded accumulated points includes a database storage rebate qualification standard, business rebate rules and consumer graded rebate rules. A rebate server comprises a business turnover acquiring module, a consumer consumption sum acquiring module, a rebate qualification determining module and a rebate module, wherein the rebate module is used for calculating the sum of the surrendered profits that the business should pay for the platform according to the business rebate rules and the business turnover, and gives the rebate to the consumers according to the sum of the surrendered profits and the consumer graded rebate rules. For the rebate platform and method based on graded accumulated points, the consumers can get profits and the business surrendered profits; and by means of integration and data operation through the platform, the multi-win aim that the consumers can get full rebate of the sum of consumption can be achieved. The platform counts the daily sales of all the cooperated business and collects and takes the surrendered profits of the business, and then determines the sum of consumption and conditions of the consumers, and then calculates and accumulates sum of consumption of every time for the consumers, and then by combination of the surrendered profits of the business, and according to the consumption proportion, can perform full rebate for the consumers day by day.
Owner:SICHUAN TIANTIANXIN ELECTRONICS COMMERCE CO LTD
Scene classification method and device based on self-supervision mechanism and regional suggestion network
InactiveCN111062441AHigh expressionHelp diggingCharacter and pattern recognitionNeural architecturesImaging processingData set
The invention discloses a scene classification method and device based on a self-supervision mechanism and a regional suggestion network, and belongs to the field of image processing, and the method comprises the steps: obtaining a standard data set of scene classification, abiding by the division rules of different standard data sets, and dividing the data set into a training set and a test set according to a label file; constructing a base network used for extracting features, a region suggestion network used for extracting a local discriminable information region and a joint network used for combining features of different scales; performing optimization design on a loss function of the network by adopting a self-supervision mechanism; alternately training the parameters of the base network, the regional suggestion network and the joint network by using the training set pictures; and inputting the test image into a trained network to obtain a scene category of the image. According to the method, no extra local area labeling information is needed, and only the scene category hierarchical label of the image is needed, so that the network can perform end-to-end learning for different data sets.
Owner:WUHAN UNIV
Production process of SCR (selective catalytic reduction) catalyst with pyrophyllite as carrier
ActiveCN103372425AAvoid negative effectsLow costDispersed particle separationMetal/metal-oxides/metal-hydroxide catalystsPyrophylliteNitric oxide
The invention discloses a production process of a honeycombed SCR (selective catalytic reduction) catalyst with pyrophyllite as a carrier, belonging to the fields of nitric oxide after-treatment and purification and environment-friendly catalytic materials. The catalyst has three layers of microstructures, wherein pyrophyllite forms a carrier layer; tungsten-doped titanium dioxide (TiO2-WO3) forms a transition layer; and vanadium pentoxide (V2O5) forms an active layer. The catalyst has the beneficial effects that the negative effects of trace elements Na and K in pyrophyllite on the activity of the honeycombed SCR catalyst can be avoided by the design of the three layers of microstructures; pyrophyllite has the characteristics of low moisture expansion and high heat stability; as the carrier, pyrophyllite is favorable for improving the yield in the catalyst drying process and is favorable for improving the mechanical strength of the catalyst, and the cost of the catalyst can be also reduced by reasonably adding pyrophyllite; and the catalyst has high lateral and longitudinal mechanical strength, has denitration efficiency of more than 89% at a temperature of 270-500 DEG C, and has denitration efficiency of more than 94% at a temperature of 330-430 DEG C.
Owner:福建帕特纳环境产品有限公司
Multi-user recommendation system based on knowledge graph path reasoning
PendingCN114820139AImprove interpretabilityHelp diggingBuying/selling/leasing transactionsNeural architecturesTheoretical computer scienceKnowledge graph
The invention discloses a multi-user recommendation system based on knowledge graph path reasoning. The multi-user recommendation system comprises a knowledge graph construction module, a path reasoning module and a score prediction module, the knowledge graph construction module obtains user interaction historical data, constructs a knowledge graph G and transmits the knowledge graph G to the path reasoning module; the path reasoning module generates a relation path between a plurality of users and a target project according to the knowledge graph G, and transmits the relation path to the score prediction module; and the score prediction module evaluates and predicts the plurality of received relation paths, and outputs a project recommendation list to the user according to an evaluation and prediction result. According to the method, more abundant user interest latent semantic information is mined by constructing the knowledge graph of the users and the items, and potential common preferences of the multiple users are predicted through combined reasoning of multiple paths on the knowledge graph; pooling aggregation operation with an attention mechanism is utilized between different paths, different user preference degrees are distinguished, and meanwhile a recommendation list maximizing interest preference and diversification is given.
Owner:CHONGQING UNIV
Method for determining potential talent and electronic equipment
InactiveCN109034651AImprove accuracyHelp diggingResourcesPhysical medicine and rehabilitationData mining
The invention provides a potential talent determination method and an electronic device. The potential talent determination method comprises the following steps: obtaining the evaluation scores of n basic abilities of the object to be tested for multiple times in a database and presetting evaluation coefficients corresponding to the month-age segment, wherein n is greater than or equal to 1; obtaining the evaluation scores of n basic abilities of the object to be tested for multiple times in a database; calculating a potential value An of the target basic ability in each month age segment based on the evaluation score of the multiple evaluation, the evaluation coefficient and the preset potential calculation formula; based on the potential of the target 's underlying capabilities, the preset potential coefficient corresponding to the month-age segment and the preset potential talent calculation formula calculate the potential talent score of the target basic ability of the object to betested, thereby improving the accuracy of the evaluation of the basic ability of the object to be tested, and assisting parents in digging out the technical effect of the real talent hidden in the child.
Owner:北京艾伯迪教育咨询有限公司
Image-text cross-modal retrieval method based on joint features
PendingCN114722224AOvercome the problem of reducing retrieval accuracyEliminate the effects ofSemantic analysisCharacter and pattern recognitionPattern recognitionComputer vision
The invention discloses an image and text mutual retrieval method based on joint features. The image and text mutual retrieval method can be used for mutual retrieval of natural images and texts. The method comprises the following implementation steps: 1, generating a training set; 2, constructing a deep learning network; 3, training the deep learning network; and 4, performing mutual retrieval on to-be-retrieved image texts. According to the method, the image joint feature processing sub-network based on the attention mechanism is adopted to reconstruct the global features of the image, the influence brought by redundant information in the global features of the image can be eliminated, and the features of the image and the text are constructed more accurately. According to the method, the global features and the local features of the image and the text are combined, the semantic relation between the image and the text is mined more deeply, the fine-grained local features can be fully utilized by the network, and it can be ensured that overall semantics are not lost.
Owner:XIDIAN UNIV
Mining method for APP software user comments reflecting user intentions
ActiveCN109753651AHelp to getHelp diggingDigital data information retrievalSpecial data processing applicationsViewpointsSoftware
The invention relates to a mining method for APP software user comments reflecting user intentions, and belongs to the field of APP software user intention analysis. The method comprises the followingsteps: firstly, defining an evaluation object and an extraction rule of an evaluation viewpoint, initializing a comment seed on the basis of extracting the evaluation object and the evaluation viewpoint of a user comment, and mining the user comment which is the same as or similar to the comment seed and embodies the same user intention category by applying the comment seed; then, user comments reflecting user intentions in the user comments failed in matching with the comment seeds are mined through willingness verbs, software brief introduction and sentiment analysis, and a candidate comment mode library is constructed; and finally, extracting representative new comment seeds for the candidate comment mode library constructed in each cyclic mining process for the next cyclic mining to realize the cyclic mining of the user comments embodying the user intention until the mining effect of the user comments embodying the user intention is convergent.
Owner:KUNMING UNIV OF SCI & TECH
Patent navigation service management system based on big data
InactiveCN110046148ATimely change of research directionEasy to digData processing applicationsSpecial data processing applicationsMulti languageCross language retrieval
The invention discloses a patent navigation service management system based on big data. The system comprises an ontology library module, a patent management module and a display module. The patent management module is connected with the ontology library module, the display module and an electronic map module, the patent management module is further connected with a patent analysis module and a patent retrieval module, the ontology library module is used for establishing a patent ontology library, and the similar keywords and the patent ontology links corresponding to the similar keywords arestored in the patent ontology library. According to the patent navigation service management system based on big data, the creativity of the user and the creativity of the disclosed patent are compared and analyzed by utilizing the patent analysis module; when the repetition rate is higher than a certain value, the early warning reminding is conducted on the user, so that the user can change the research direction in time, meanwhile, the user can conveniently mine a new research direction, and multi-language synonymous or synonymous keywords are combined into a whole, and therefore the requirement of the user for searching patent information in a cross-language manner can be met.
Owner:北京八月瓜科技有限公司
Photovoltaic output power ultra-short-term local emotion reconstruction neural network prediction method
PendingCN112132328AReduce complexitySolve complexityClimate change adaptationForecastingHidden layerEngineering
The invention relates to a photovoltaic output power ultra-short-term local emotion reconstruction neural network prediction method, and the method employs a singular spectrum analysis method to reduce the noise of original photovoltaic power, and can reduce the complexity of a photovoltaic power time sequence. Implicit fluctuation information mining of a photovoltaic power time sequence through achaotic nonlinear dynamics method is facilitated, meteorological data does not need to be acquired in advance in actual engineering, and the problem of model complexity caused by improper selection of input parameters and the problem of error accumulation caused by inaccurate prediction of the meteorological data can be avoided; the built local emotion reconstruction neural network does not needto determine the number of hidden layer nodes, modeling is simple, and the prediction cost is reduced; the established local emotion reconstruction neural network determines expansion signals and emotion parameters according to photovoltaic power chaotic attractors, so that the prediction model more pays attention to tracking each input mode and selects the most useful input mode information, themapping relationship is more accurate, the prediction accuracy is higher under different weather conditions, and the adaptability is higher.
Owner:SHANGHAI MUNICIPAL ELECTRIC POWER CO +1
Method for scoring curing probability of potential treatment scheme based on patient detection information
The invention belongs to the field of deep learning analysis, and discloses a method for scoring the curing probability of a potential treatment scheme based on patient detection information. The method comprises the following steps: (S1) collecting training data; (S2) establishing a logistic regression model and training the logistic regression model; (S3) respectively establishing a unet model and a three-dimensional convolutional neural network model and training the unet model and the three-dimensional convolutional neural network model; (S4) complementing the training data to obtain a survival condition score, corresponding to the training data, of any patient in each day in the treatment process; (S5) establishing a long short-term memory (LSTM) network model and training; and (S6) randomly selecting the potential treatment scheme, and predicting to obtain a survival condition score of the (N + 2) day, thereby completing scoring of the potential treatment scheme. The overall process design and the like of the method and the system are improved, the condition of a patient can be specifically quantified from the angle of big data analysis, and the curing probability of a potential treatment scheme is scored.
Owner:HUAZHONG UNIV OF SCI & TECH
Fusarium oxysporum tomato neck rot root rot specialization type and application thereof in cultivation of tomato neck rot rood rot disease-resistant varieties
Owner:BEIJING ACADEMY OF AGRICULTURE & FORESTRY SCIENCES
Self-mixing type anaerobic ammonia oxidation baffle plate reactor
ActiveCN103523911AMining effective reaction volumeImprove stabilityTreatment with anaerobic digestion processesProcess engineeringHeating system
The invention discloses a self-mixing type anaerobic ammonia oxidation baffle plate reactor which comprises a water bath heating system and a reactor body, wherein the water bath heating system is arranged on the reactor body and comprises a heater and a water bath heating layer; the water bath heating layer wraps the two side walls and bottom of the reactor body, and the heater is connected with the water bath heating layer; the reactor body comprises a water distribution area, a reaction area and a precipitation area; the water distribution area comprises a water inlet formed at the bottom of the reactor body; the reaction area is arranged above the water distribution area, multiple baffle plates are vertically arranged in the reaction area, and the reactor main body is divided into at least four cells in series connection by the baffle plates. By adopting the self-mixing type anaerobic ammonia oxidation baffle plate reactor disclosed by the invention, the wastewater mixing can be promoted, the problem of non-uniform microbial activity and number caused by non-uniform matrix distribution of the cells is effectively solved, and the overall reaction potential of the reactor is improved.
Owner:HANGZHOU NORMAL UNIVERSITY
Property feature coding and retrieval system of Chinese herbal medicines based on the theory of Chinese materia medica
ActiveCN108460132BEnrich and improve the coding systemEasy extractionDrug referencesSpecial data processing applicationsEfficacyEngineering
The invention discloses a system for encoding and retrieving attributes of Chinese medicinal materials based on the theory of traditional Chinese medicine. The system includes: a data preprocessing module, which extracts the attribute characteristics of each flavor of Chinese herbal medicines from the stored TCM text information, and forms data elements corresponding to each flavor of Chinese herbal medicines; a database module, which is constructed based on the data elements corresponding to each flavor of Chinese herbal medicines A structured data table forms a database of attributes and characteristics of Chinese medicinal materials; an encoding module encodes each Chinese medicinal material in the database of attributes and characteristics of Chinese medicinal materials into an 8-layer 15-digit decimal number code; and a retrieval module converts the search content into The coding of the corresponding attribute feature category sends out a query request, and outputs the query result. The property feature coding and retrieval system of Chinese medicinal materials based on the theory of Chinese pharmacy provided by the present invention can realize simplification and coding of characteristic attributes such as properties and efficacy of Chinese medicinal materials, thereby facilitating the expression of characteristic properties of Chinese medicinal materials and analysis of prescriptions.
Owner:HUNAN UNIV OF CHINESE MEDICINE
Channel, group and group user activeness determination method, system and terminal
PendingCN112818244AStrong comprehensive businessActiveness discriminationDigital data information retrievalData processing applicationsNetwork dataData mining
The invention discloses a channel, group and group user activeness determination method, system and terminal, and relates to the technical field of network data processing. Acquiring data of channels, groups or group users in observation time, acquiring probability distribution of the interaction amount in the observation time according to the data, and performing data preprocessing on the acquired probability distribution data of the interaction amount; and obtaining user activeness interval distribution data, and performing activeness discrimination based on the obtained user activeness interval distribution data. According to the method and the device, the activeness of the channel, the group and the group user can be quickly and accurately judged, the relationship between the group and the group user can be mined, and the parts calling the group activeness can be conveniently acquired from the group.
Owner:深圳市网联安瑞网络科技有限公司
A mining method for app software user comments that reflect user intent
ActiveCN109753651BHelp to getHelp diggingDigital data information retrievalNatural language data processingEngineeringData mining
Owner:KUNMING UNIV OF SCI & TECH
A method and device for object recognition based on dynamic graph
ActiveCN112559310BHelp diggingHardware monitoringCharacter and pattern recognitionPattern recognitionComputer vision
Owner:BEIJING TRUSFORT TECH CO LTD
Automatic classification method and system for pathological diagrams of cell and region levels
The invention belongs to the field of image analysis, and discloses an automatic classification method and system for pathological diagrams of cell and regional hierarchies, and the method comprises the following steps: (1) cutting an initial pathological diagram into small diagrams, and drawing a cell mask diagram; (2) carrying out image segmentation on the small image to obtain cell coordinates; (3) cutting the initial pathological map into single cell small maps, and judging cell types; (4) cutting the initial pathological diagram into small diagrams, and judging whether the small diagrams belong to a cancerous region and a para-cancerous region or not; (5) cutting the initial pathological diagram into small diagrams, and respectively judging whether the small diagrams belong to a tumor tissue parenchyma region, a mesenchymal region, a protein keratinization region and a vessel region or not; (6) integrating the scores, and determining the cell type and the belonging region thereof. According to the method, the overall process processing of the method is improved, so that the defect that the analysis of the pathological diagram stays in block type analysis in the prior art can be overcome, the information of the pathological diagram is deeply mined, and therefore, the automatic classification of the pathological diagram is realized.
Owner:HUAZHONG UNIV OF SCI & TECH
A method for scoring the cure probability of potential treatment options based on patient detection information
ActiveCN113436727BHelp diggingUniversalMedical simulationMedical data miningMedicineLogistische regression
The invention belongs to the field of deep learning analysis, and discloses a method for scoring the cure probability of a potential treatment plan based on patient detection information. The method includes the following steps: (S1) collecting training data; (S2) establishing a logistic regression model and training; (S3) respectively establishing the unet model and the three-dimensional convolutional neural network model and training; (S4) complementing the training data, and obtaining the survival score of any patient corresponding to the training data in each day of the treatment process; (S5) Establish a long short-term memory network LSTM model and train it; (S6) Randomize a potential treatment plan, and predict the survival score on the N+2 day, so that the potential treatment plan can be scored. By improving the overall process design of the method and the system, the present invention can specifically quantify the patient's condition from the perspective of big data analysis, and score the cure probability of the potential treatment plan.
Owner:HUAZHONG UNIV OF SCI & TECH
Primers and detection method for detecting the expression level of 5-ht receptor gene related to pork quality
ActiveCN104004843BAccurate detectionImprove detection accuracyMicrobiological testing/measurementDNA/RNA fragmentationReference genes5-HT receptor
The invention discloses primers for detecting 5-HT receptor gene expression quantity related to pork quality. The primers include (1) a reference gene beta-actin amplification primers: Forward: 5'-TCTGGCACCACACCTTCT-3'; Reverse: 5'-TGATCTGGGTCATCTTCTCAC-3'; (2) target gene 5-HT amplification primers: 5-HT2A: Forward: 5'-AGGTGCTGGGCATAGTCTT-3'; Reverse: 5'-GACGGCTGAGGAGAGGTAAC-3'; 5-HT7: Forward: 5'-CAGATCAACTACGGCAGAGC-3'; Reverse: 5'-GCAGACCGAAATCACCACCAG-3'. The invention further provides a kit and fluorogenic quantitative PCR method for detecting the 5-HT receptor gene expression quantity related to the pork quality. By adopting the primers and the fluorogenic quantitative PCR detection method based on different template concentrations, pig 5-HT receptor gene mRNA expression quantities in different tissues can be detected accurately.
Owner:HANGZHOU ACAD OF AGRI SCI
Aspect-level sentiment analysis method and device and computer readable storage medium
PendingCN113468292ASimple structureSmall amount of calculationCharacter and pattern recognitionNeural architecturesInformation processingFeature vector
The invention provides an aspect-level sentiment analysis method and device and a computer readable storage medium, and the method comprises the steps: providing a target text to an input layer of a convolutional neural network, and obtaining a corresponding input feature matrix; providing the input feature matrix to a first convolutional layer to obtain a corresponding first feature map, and processing the first feature map by using a first activation function to obtain a first feature vector, wherein the first feature map reflects emotional feature information of the target text; processing the first feature map according to the aspect feature information of the aspect to be analyzed to obtain a second feature map, and processing the second feature map by adopting a second activation function to obtain a second feature vector, wherein the second feature map reflects association information of the target text and the aspect to be analyzed; and judging the emotional polarity of the target text corresponding to the to-be-analyzed aspect according to the first feature vector and the second feature vector. The method enables the model to be simple in structure and low in operand.
Owner:CHINA UNIONPAY
Business processing method, device and system
PendingCN114430548AHigh data loadImprove reliabilityMessaging/mailboxes/announcementsTransmissionSoftware engineeringSubscriber identity module
The invention discloses a service processing method, device and system, and at least solves the problems that in the prior art, a mode of obtaining service data from a service platform is small in data load and is limited by compatibility of an operating system and terminal equipment. The service processing system comprises a BIP (Bearer Independent Protocol) gateway platform, a service platform and an SIM (Subscriber Identity Module) card, wherein the service platform is used for generating an APDU (Application Protocol Data Unit) instruction based on service data required by the SIM card, and sending the APDU instruction to the BIP gateway platform through a BIP channel between the service platform and the BIP gateway platform; the BIP gateway platform is used for forwarding the APDU instruction to the SIM card through a TCP (Transmission Control Protocol) channel between the BIP gateway platform and the SIM card; and the SIM card is used for analyzing the APDU instruction to obtain the service data, and executing corresponding service processing based on the service data.
Owner:中移互联网有限公司 +1
Honeycomb scr catalyst supported by pyrophyllite
InactiveCN103372426BSmall moisture expansionImprove thermal stabilityMetal/metal-oxides/metal-hydroxide catalystsCellulosePyrophyllite
The invention discloses a honeycombed SCR (selective catalytic reduction) catalyst with pyrophyllite as a carrier, belonging to the fields of nitric oxide after-treatment and purification and environment-friendly catalytic materials. The catalyst has three layers of microstructures, wherein pyrophyllite forms a carrier layer; tungsten-doped titanium dioxide (TiO2-WO3) forms a transition layer; and vanadium pentoxide (V2O5) forms an active layer. The catalyst has the beneficial effects that the negative effects of trace elements Na and K in pyrophyllite on the activity of the honeycombed SCR catalyst can be avoided by the design of the three layers of microstructures; pyrophyllite has the characteristics of low moisture expansion and high heat stability; as the carrier, pyrophyllite is favorable for improving the yield in the catalyst drying process and is favorable for improving the mechanical strength of the catalyst, and the cost of the catalyst can be also reduced by reasonably adding pyrophyllite; and the catalyst has high lateral and longitudinal mechanical strength, has denitration efficiency of more than 89% at a temperature of 270-500 DEG C, and has denitration efficiency of more than 94% at a temperature of 330-430 DEG C.
Owner:FUJIAN ZIJIN ENVIRONMENT ENG TECH
Overall microcirculation function evaluation of lung tissue and visual presentation method
PendingCN113951850AFully functional and complete microcirculationComprehensive and complete evaluation of microcirculatory functionCatheterSensorsVisual presentationBlood flow
The invention provides an overall microcirculation function evaluation of lung tissue and visual presentation method, which comprises the following steps: capturing lung tissue microcirculation oxygen parameters and microcirculation hemodynamic parameters, cleaning lung tissue microcirculation function data, and finally, carrying out general microcirculation framework and wavelet analysis method to visually present the overall microcirculation function of the lung tissue. Compared with the prior art, the whole microcirculation function of the lung tissue is evaluated more comprehensively and completely from the two aspects of lung tissue microcirculation hemodynamics and microcirculation oxygen; meanwhile, null value data and abnormal data from instrument firmware and optical components are eliminated through a microcirculation function data cleaning module; finally, the lung tissue microcirculation function data is visually presented, the lung tissue microcirculation function state can be deeply analyzed and excavated, and the scientificity of lung tissue microcirculation function characteristic display is improved.
Owner:刘明明
Multi-document topic discovery method based on two-level clustering
InactiveCN104778204BSolve the "non-orthogonal" caseReduce the dimensionality of the eigenvector spaceSpecial data processing applicationsVerbnounVector space model
Owner:SOUTH CHINA UNIV OF TECH +2
Consistency evaluation method and device for series structure battery pack
ActiveCN107093775BImplementation of Consistency EvaluationHelp diggingSecondary cells servicing/maintenanceInternal resistanceCharge discharge
The embodiment of the invention discloses a method and device for evaluating the uniformity of cascaded battery packs. According to the method and the device, the disadvantages that the difference of intrinsic parameters (such as open-circuit voltage, available capacity and internal resistance) of single batteries in the battery packs is difficult to be truly described, evaluation indexes are not comprehensive enough, and the applicability is relatively poor in an existing uniformity online evaluation technique are solved. A distance similarity index calculation method based on a dynamic time warping strategy is developed based on a measured voltage curve of the single batteries, influence factors which cause the voltage difference of the single batteries due to different SOCs can be eliminated in a self-adaption manner, the evaluation of operational characteristic difference of the single batteries in charging-discharging processes is realized, and compared with an existing uniformity extraction method based on voltage difference of each discrete moment, intrinsic information of the batteries is assisted to be excavated; and on this basis, an abnormal battery statistics recognition method based on a stepwise iteration strategy is developed, the uniformity evolution of the cascaded battery packs is realized, and the effective technical support is provided for operation maintenance.
Owner:GUANGDONG ELECTRIC POWER SCI RES INST ENERGY TECH CO LTD
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