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43results about How to "Accurate valuation" patented technology
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Method for valuing used motor vehicles
InactiveUS20070162293A1Quickly and accurately estimate valueAccurate valuationProduct appraisalMotorized vehicleInformation provision
Owner:MALKON OHANIS L
Enhanced Valuation System and Method for Real Estate
A system and method for producing a valuation for real property that allows the rating of various metrics that contribute to a determination of value for the subject property, the rating being based on the quality and applicability to the subject property of the data sources from which data is gathered for each metric, such that the final valuation is based on a weighted average of each of the metrics, thereby eliminating the human bias from the actual valuation result, but providing an improved result over a valuation based solely on results from an automated valuation model.
Owner:PRO TECK SERVICES
Systems and methods for selecting comparable real estate properties
Embodiments of systems and methods can determine comparable real estate properties for use in the valuation of a subject real estate property. For example, a geographic area surrounding the subject property can be divided into smaller regions and a set of one or more regions having property characteristics that most closely match the characteristics of the subject property can be identified. Comparable properties can be selected from this set of regions rather than from the overall geographic area as a whole, which may lead to identifying better-matching comparable properties as compared to selecting comparable properties from the overall geographic area (which generally will include regions that are poor matches to the subject property).
Owner:CORELOGIC SOLUTIONS
Systems and methods for enrichment of data relating to consumer credit collateralized debt and real property and utilization of same to maximize risk prediction
Systems and methods for enrichment of data associated with risk prediction. Data may be enriched by incorporating one or more aspects of consumer credit, collateralized debt, mortgage, real property, and loan data for use in systems, products, and methods relying on risk prediction models to maximize the effectiveness of the risk prediction. A time-series of consumer credit data may be provided to provide historical context to data. In a particular application, enriched data is leveraged to predict occurrence of an event relating to underlying assets of a structured security, such as a mortgage-backed security. Other systems and methods are disclosed.
Owner:TRANSUNION
Real estate collateral risk control method and system, and storage medium
The invention establishes an intelligent evaluation algorithm system based on collateral big data. A value evaluation process uses two networks. A first network is used for determining an evaluation algorithm the most suitable for the collateral and increasing the evaluation weight of the algorithm. The second network is used for collecting user feedback information. Whatever correct evaluation, deviated evaluation, or erroneous evaluation, on the one hand, a computer automatically analyzes and records the evaluations, and on the other hand, a worker participates to help the computer correct the deviation or the error, which is similar to a deviation or error memory stick, and all evaluations are fed back to the first network. Two networks continuously and cyclically operate, learn the correctness and the wrongness, form experience after long-time accumulation, perform continuous improvement, and increasingly improve the accuracy rate in order to achieve automatic batch precise evaluation, and achieve risk analysis based on the precise evaluation.
Owner:重庆汇集源科技有限公司
Detection algorithm for pore structure of shale gas reservoir
InactiveCN104034645AAccurate valuationValuation validPermeability/surface area analysisRock coreRelative pressure
The invention discloses a detection algorithm for the pore structure of a shale gas reservoir. The detection algorithm comprises the step of carrying out specific surface analysis and detection to obtain partial data by adopting a nitrogen absorption method, and also comprises the following steps: (1) in the pressure reducing process after nitrogen is absorbed to maximum pressure, gradually and respectively converting staged desorbing amount of the nitrogen into the percent of the volume of a desorbed wetting phase at stages accounting for the volume of a rock-core pore and the percent of the volume of the desorbed nitrogen accounting for the total volume of the rock core; (2) calculating out the thickness of a wetting film in the process of staged desorption, namely, the throat radius of the process, by adopting a digital model for calculating the thickness of a water film according to the specific surface of nitrogen absorption and the density of the rock core; and (3) according to the relation of the capillary pressure theory, obtaining capillary pressure under the corresponding and relative pressure and a capillary pressure curve in the whole desorption process. The detection algorithm disclosed by the invention has the advantages that the characteristics of the pore structure of the shale gas reservoir and the characteristics of seepage and production of natural gas can be intuitively described, further the value of the shale gas reservoir is evaluated, the practical value is very high and the application prospect is very wide.
Owner:向丹
Vehicle valuation method based on machine learning, storage medium, and device
The invention discloses a method for evaluating a vehicle based on machine learning, which includes the following steps: information acquisition step: acquiring the original data of the vehicle, the original data of the vehicle including the vehicle year, license plate time and vehicle configuration; preprocessing step: The raw data of the vehicle is preprocessed according to different classifications to obtain the feature set of the vehicle, the feature set includes its own feature set; the residual rate calculation step: obtain the residual rate corresponding to each feature in the feature set of the vehicle through the GBRT model ; Estimate calculation steps: Obtain the residual rate corresponding to the vehicle and the manufacturer's guide price to obtain the vehicle valuation. The invention also discloses a storage medium and a device. The present invention utilizes the transaction data of used cars and the currently available vehicle data information, uses GBRT to mine the relationship between each feature of the vehicle and the residual rate, and in addition to query parameters, introduces real-time data to accurately evaluate used cars .
Owner:HANGZHOU DASOUCHE AUTO SERVICE CO LTD
Doppler estimation method based on measurement of carrier frequency of direct sequence spread spectrum signal
InactiveCN104901718AAccurate valuationExact frequency estimateBaseband system detailsHydrophoneEstimation methods
The invention discloses a Doppler estimation method based on measurement of a carrier frequency of a direct sequence spread spectrum signal. The method comprises the following steps of adopting a pseudorandom sequence to carry out spread spectrum modulation on single-frequency CW (Continuous Wave) pulses; forming an emission signal after power amplification is carried out on a spread spectrum modulation signal; sending the emission signal into water through a transmitting transducer; enabling a receiving end to receive the signal by utilizing a hydrophone, carry out time synchronization on the receiving signal by utilizing a copy correlator after the signal is filtered and amplified, and carry out de-spread processing on the receiving signal by utilizing a local pseudorandom sequence after time synchronization is detected; measuring a frequency value by utilizing a high-resolution computing method after low-pass filtering is carried out on the de-spread signal; and estimating a Doppler coefficient according to the frequency value and an original carrier frequency value. The method has the advantage of high estimation precision.
Owner:HARBIN ENG UNIV
Vehicle valuation method, system and device based on big data and readable storage medium
The embodiment of the invention provides a vehicle valuation method based on big data. The method comprises the following steps: receiving user basic information of a target user, valuation strategy selection information, vehicle basic information of an associated vehicle and vehicle historical information; obtaining a plurality of weight parameters corresponding to the vehicle basic information and the vehicle historical information, and inputting the weight parameters into a first vehicle value estimation model; obtaining a first valuation price of the associated vehicle according to the first vehicle valuation model; determining a loss level of the associated vehicle and a transaction vehicle data set based on the final residual value rate corresponding to the first estimated value price; evaluating a second estimated value price of the associated vehicle according to a plurality of transaction data in the transaction vehicle data set and the first estimated value price of the associated vehicle; determining a final estimated price of the associated vehicle based on the estimated policy selection information and the second estimated price. The embodiment of the invention furtherprovides a vehicle value estimation system and device based on the big data and a readable storage medium. According to the embodiment of the invention, the value of the vehicle can be estimated moreaccurately.
Owner:ONE CONNECT SMART TECH CO LTD SHENZHEN
Method and system for assessing values of second-hand cars according to big data
InactiveCN108280674AAccurate priceAccurate valuationMarket predictionsSpecial data processing applicationsUser inputModel Number
The invention discloses a method and a system for assessing values of second-hand cars according to big data. The method includes S11, acquiring model information, input by users, of to-be-accessed second-hand cars; S12, acquiring corresponding value assessment functions from a function database of a value assessment model, and after acquiring all corresponding function parameters from a parameterdatabase of the value assessment model, substituting the vehicle information into the value assessment functions to calculate market assessed prices of the to-be-accessed second-hand cars. The modelinformation includes models, license application dates, mileages, vehicle conditions, trading locations and / or colors; the value assessment model is a multi-element nonlinear calculation model acquired based on big data training, and comprises the function database and the parameter database. The method and the system have the advantages of high value assessment accuracy, high stability, capability of assessing the prices of the second-hand cars accurately, and wide application to the value assessment field of the second-hand cars.
Owner:广东数鼎科技有限公司
Automobile risk and value appraisal system based on part life cycle
The motor vehicle risk and value evaluation system based on the life cycle of parts and components of the present invention includes a three-level and nine-level dynamic data evaluation device, which outputs a second evaluation c according to the first data and second data of the vehicle; an evaluation coefficient adjustment module, It outputs the adjustment coefficient r according to the usage of the parts of the vehicle; the data processing module outputs the third estimated value s of the vehicle according to the following formula; s=c×(1+r). The present invention adjusts the valuation of the vehicle based on the use of the parts of the vehicle, that is, the life cycle, through the above-mentioned valuation coefficient adjustment module, so that the valuation of the used car is more accurate, and the user can understand the value of the vehicle more clearly. And know the risk of the vehicle through the value and the adjustment factor r.
Owner:北京保程保险公估有限公司
Super frame track parameter vector quantizing method
A vector quantization method includes framing inputted voice signal sample point to form a super frame, picking up A sound channel parameter as well as voiceless and voiced consonant parameter for quantization, converting A sound channel parameter to be line spectrum pair parameter, deducting DC subcomponent, confirming line spectrum pair predictive value, using line spectrum pair parameter without DC to detuct the prodictive value for carrying out vector quantization.
Owner:TSINGHUA UNIV
Mobile phone loss detection equipment and method thereof
PendingCN111294454AImprove recycling efficiencyReduce intermediate costsSubstation equipmentEmbedded systemReal-time computing
The invention provides mobile phone loss detection and recovery equipment and a mobile phone loss detection and recovery method. The equipment comprises a detection assembly, a driving assembly and arecovery assembly, wherein the detection assembly comprises a cabin body with an open front surface, a photographing assembly arranged on the cabin body and a rotating table arranged on the bottom surface of the cabin body and used for placing a detection mobile phone, the photographing assembly comprises a first photographing assembly and a second photographing assembly, and the method comprisesthe steps of photographing, detecting and recycling the lost mobile phone. The appearance loss detection of the recycled mobile phone is realized by using the device; the detection information is adopted, and mobile phone valuation can be carried out more reasonably, so that the number of times of secondary manual inspection caused by inaccurate mobile phone evaluation can be greatly reduced, therecovery efficiency of the mobile phone is improved, the intermediate cost of mobile phone recovery is reduced, the mobile phone recovery success rate is improved under the condition that the mobile phone recovery experience of a user is improved, and the very ideal market practical value is achieved.
Owner:广州绿怡信息科技有限公司
Terminal recovery method, device and mobile terminal
ActiveCN106815649ASimplify data transfer stepsImprove user experienceSustainable waste treatmentBuying/selling/leasing transactionsRecovery methodComputer engineering
The present invention provides a terminal recovery method, a device and a mobile terminal. The terminal recovery method comprises the steps of extracting the first state information of a first terminal through the transmission application, determining the recovery price of the first terminal according to the first state information of the first terminal, generating a recovery order according to the recovery price of the first terminal, and uploading the recovery order to a recovery server. According to the technical scheme of the invention, the first terminal is accurately valuated, so that the recovery order is generated. In this way, the problems of longer trading period, non-trust endorsements and larger risk in the prior art can be solved.
Owner:BEIJING ANYUNSHIJI TECH CO LTD
Battery modeling method and device
InactiveCN106844833AAccurate valuationTroubleshoot technical issues with inaccurate valuationsSpecial data processing applicationsTest batteryValue assessment
The invention discloses a battery modeling method and device. The method comprises the following steps of: obtaining an equivalent circuit model of a target battery; determining an equivalent voltage function of the target battery according to the obtained equivalent circuit model of the target battery; and taking the equivalent voltage function of the target battery as a battery model of the target battery. According to the method and device disclosed by the invention, the technical problem that the value assessment is incorrect by utilizing the battery model in later periods as battery modeling cannot be carried out according to the changes of parameters of the batteries in the prior art is solved.
Owner:GREE ELECTRIC APPLIANCES INC
Real estate valuation method and device, terminal and readable storage medium
The invention relates to the technical field of real estate valuation, and discloses a real estate valuation method and device, a terminal and a readable storage medium. The method comprises the stepsof acquiring road network information of an area where a target real estate is located; dividing an area where the target real estate is located into a plurality of target areas according to the roadnetwork information; acquiring a real estate historical estimation value of each target area and first feature data influencing the real estate historical valuation; learning the real estate historical valuation and first feature data of at least one part of each target area according to a machine learning algorithm to obtain a first real estate valuation value model used for valuating real estate value; according to the first real estate valuation model and the first feature data of to-be-valuated area, obtaining a first real estate valuation of the to-be-valuated area; according to the realestate valuation method provided by the invention, real estate valuation is more accurate in a road network regional division mode.
Owner:深圳禾略贝塔信息科技有限公司
SSGP-based UWB positioning method in LOS/NLOS environment
ActiveCN114302330AMitigating Ranging ErrorsHigh positioning accuracyParticular environment based servicesPosition fixationUltra-widebandTimestamp
The invention belongs to the field of ultra wide band positioning, and particularly relates to an SSGP-based UWB positioning method in an LOS / NLOS environment, which comprises the following steps: a label sends a Poll message at a fixed interval, the Poll message is simultaneously sent to three base stations, and each base station respectively receives the Poll message in a corresponding signal receiving time period; each base station responds in the continuous response through the Resp message, and the label sends the Final messages received by all the base stations; the flight time of the label and each base station is calculated according to the timestamps carried in the base station and label receiving and sending messages, and the distance information between the base station and the label is calculated according to the time; according to the distance information, calculating position coordinates of the label based on a Taylor algorithm; the positioning method can adapt to various LOS / NLOS environments, reduces the original high complexity, and guarantees the high positioning precision.
Owner:CHONGQING UNIV OF POSTS & TELECOMM
Multi-core cache WCET analysis method supporting instruction prefetching
InactiveCN107844380AAccurate ValuationAccurate Valuation TaskHardware monitoringReliability/availability analysisParallel computingSemantics
The invention relates to a multi-core cache WCET analysis method supporting instruction prefetching, and belongs to the technical field of embedded real-time system application. Accordingly, on the basis of the shared-cache-based multi-core cache structure, for the WCET analysis problem in instruction prefetching, and by expanding instruction prefetching semantics, cache is instructed to access classification in advance, and then the influence of instruction prefetching on the private L1 instruction cache state and the shared L2 instruction cache state is analyzed. Therefore, the accuracy of application program WCET analysis is improved. The method can be widely applied to schedulable analysis of tasks in a real-time system, and then an accurate and compact WCET assessment value is obtained.
Owner:BEIJING INSTITUTE OF TECHNOLOGYGY
A Parameter Estimation Method of LFM Signal Based on Power Spectrum
InactiveCN103063909BAccurate valuationOvercome the disadvantage of large amount of calculationElectric devicesPulse characteristics measurementsSignal-to-noise ratio (imaging)Prior information
Owner:TIANJIN UNIVERSITY OF TECHNOLOGY
Block chain-based fund information real-time interaction system
ActiveCN113407566AAccurate valuationTimely retrievalFinanceDatabase management systemsData acquisitionEngineering
The invention discloses a block chain-based fund information real-time interaction system, which belongs to the technical field of finance and comprises a data acquisition module, an interaction module, a correction module, a storage module and a server, the data acquisition module comprises a fund estimated value acquisition unit and a fund information acquisition unit, the fund estimated value acquisition unit is used for acquiring estimated value information of a fund selected by a user on the current day, and the fund information acquisition unit is used for recommending dynamic information of a fund holding company according to the fund selected by the user; the correction module is used for correcting the data acquired by the fund estimation acquisition unit and sending the corrected data to the interaction module; through the arrangement of the interaction module, a communication channel is provided between the user and the system, the obtained fund information can be sent to the user in time, the user can input keyword information through the interaction channel to retrieve and retrieve information which the user wants to know, and the situation that the user cannot know the fund information in time is avoided.
Owner:湖南和信安华区块链科技有限公司
New method for accurately estimating physical and mechanical parameters of geotechnical material
PendingCN112926260AAccurate valuationValuation increaseMathematical modelsDesign optimisation/simulationSoil scienceStatistical analysis
The invention provides a new method for accurately estimating physical and mechanical parameters of a geotechnical material, which comprises the following steps: acquiring prior gene characteristics: acquiring historical big data of physical and mechanical parameters of geotechnical materials in different areas and different groups, and performing statistical analysis according to the historical big data to obtain prior gene characteristics; carrying out posterior gene feature establishment: carrying out statistical analysis on physical and mechanical parameter test values of the newly added geotechnical material obtained in specific engineering detection to obtain posterior gene features; and accurately estimating the values of the mechanical parameters of the geotechnical material, namely accurately estimating the values of the corresponding parameters by using a Bayesian estimation method based on the prior gene characteristics and the posterior gene characteristics. According to the method, by means of the biological concept, the two concepts of the gene feature and the gene map of the geotechnical material for describing the overall physical and mechanical characteristics of the specific geotechnical material in a certain space range are put forward for the first time, and the prior gene feature and the posterior gene feature are combined; and the Bayesian estimation theory is used for rapidly and accurately estimating the geotechnical material parameters, so that the parameter estimation efficiency and precision are improved.
Owner:王艳磊
Personal wealth valuation method and device, storage medium and computer equipment
InactiveCN111858711AAccurate valuationComprehensive valuationDigital data information retrievalFinanceData informationData dimension
The invention discloses a personal wealth valuation method and device, a storage medium and computer equipment. The method comprises the steps of obtaining data information of a to-be-valuated person;based on the data information of the to-be-estimated individual, determining salary income, deposit saving and stock right investment value of the to-be-estimated individual; and based on the salaryincome, the deposit saving and the stock right investment value, determining a wealth estimation value of the to-be-estimated user. According to the method, the data information of the to-be-estimatedindividual is acquired, the salary income, the deposit saving and the equity investment value of the to-be-estimated individual are determined based on the data information of the to-be-estimated individual, and then the wealth estimation value of the to-be-estimated individual is determined based on the salary income, the deposit saving and the equity investment value. The method is suitable forall kinds of people, is rich in use data dimension, and can achieve the accurate, comprehensive and quick evaluation of personal wealth.
Owner:深圳凤凰木网络有限公司
Financial data prediction system based on block chain
PendingCN114186737AImpact earningsAccurate valuationFinanceForecastingData predictionComputer science
The invention discloses a financial data prediction system based on a block chain, which belongs to the technical field of fund investment and comprises a server and a block chain module. The server is in communication connection with the block chain module, and the block chain module is used for collecting stock information and fund information stored on a block chain platform; the server is also in communication connection with a position-holding analysis module, and the position-holding analysis module is used for analyzing the position-holding condition of the fund, obtaining the information of the fund needing position-holding analysis, marking the fund as a target fund, obtaining the historical position-holding data, the daily estimated value and the daily net value of the target fund from the block chain platform, and establishing a target fund storage. The position analysis module helps the investor to obtain an accurate estimated value, and helps the investor to better invest through the accurate estimated value on that day, thereby preventing the income of the investor from being affected by the inaccurate data, and providing data reference for the buying and selling of the investor.
Owner:肖磊
Super frame track parameter vector quantizing method
A vector quantization method includes framing inputted voice signal sample point to form a super frame, picking up A sound channel parameter as well as voiceless and voiced consonant parameter for quantization, converting A sound channel parameter to be line spectrum pair parameter, deducting DC subcomponent, confirming line spectrum pair predictive value, using line spectrum pair parameter without DC to detuct the prodictive value for carrying out vector quantization.
Owner:TSINGHUA UNIV
A Design Method of Radar Sunny Map with FIR Filter
ActiveCN107748357BAccurate identificationAccurate valuationWave based measurement systemsRadarMap design
The invention discloses a radar clear day map design method of an FIR filter. According to the method, radar parameter calculation, a radar parameter is calculated according to a work mode and a system parameter of a radar; FIR processing, an antenna is adjusted to a low speed scanning mode, filtering processing of pulse echo is carried out, and ground clutter estimation is calculated; modulo logarithm operation, data is converted into a logarithm which is used for carrying out subsequent target elimination and clutter energy estimation; target elimination, overthreshold processing for sectordata is carried out, and narrow pulse signals of which the number of distance dimensions surpass the threshold are eliminated; distance merging, greatest-selection processing on distance unit data iscarried out to acquire clear day map distance unit data; clear day map correction and update, communication interference influence of a clear day map is eliminated, the clear day map is updated through a clutter map accumulative method, and an accurate clear day map estimate is acquired. The method is advantaged in that a problem of difficulty in carrying out accurate estimation under the static clutter background in the severe weather is solved, and accurately identifying the radar clutter environment to acquire the radar clear day map under the arbitrary weather conditions is guaranteed.
Owner:THE 28TH RES INST OF CHINA ELECTRONICS TECH GROUP CORP
Commercial real estate rating system
The invention relates to the technical field of real estate grade evaluation, and discloses a commercial real estate rating system, which comprises a value evaluation module, a grade evaluation module and a statistics module. The value evaluation module can separately score the commercial real estate of each household in the target area according to target commercial real estate related information which is input by a user and needs to be queried in combination with commercial real estate original data of a background big data system; the grade evaluation module can perform grade evaluation on the commercial real estate of each household in the target area according to the grading result of the value evaluation module; and the statistics module is used for performing statistics on grade evaluation results of all the commercial real estates in the target area and performing sorting display on the grade evaluation results. The system has the beneficial effect of carrying out accurate value evaluation and grade evaluation on the commercial real estate.
Owner:重庆汇集源科技有限公司
Second-hand vehicle value estimation method based on smooth support vector regression fusion
InactiveCN111461219AFast convergenceImprove fitting accuracyMarket predictionsCharacter and pattern recognitionAlgorithmEstimation methods
The invention discloses a second-hand vehicle value estimation method based on smooth support vector regression fusion, and the method comprises the following steps: obtaining a transaction price during the transaction of a second-hand vehicle, taking the transaction price as a data source, and carrying out the processing, cleaning and desensitization of the data source; taking transaction pricesin the desensitized data sources as input vectors x, classifying the transaction prices according to different influence factors, taking the influence factors as relative variables y, and forming a set s{xi, yi}; performing constraint optimization on the set; and applying a machine learning technology and smooth support vector regression and performance fusion to obtain a fusion prediction model,and performing analysis by adopting the model to obtain a predicted transaction price of the second-hand vehicle. A set of data sources is constrained and optimized by utilizing a smooth support vector regression algorithm, and a machine learning technology and the smooth support vector regression algorithm are fused, so that the technical problem that the valuation of a second-hand vehicle is notaccurate enough due to the fact that prediction is based on increasingly old statistical parameter values after the constraint optimization of the data sources can be solved.
Owner:丰车(上海)信息技术有限公司
Mobile intelligent terminal connection mobile network performance detection method and device
InactiveCN111277466AIncrease frequency of useAccurate valuationTransmitters monitoringReceivers monitoringMobile WebEmbedded system
The invention provides a mobile intelligent terminal connection mobile network performance detection method and device, and the method comprises the steps: enabling a wireless comprehensive tester tobe connected with an antenna switching switch, and enabling the antenna switching switch to be connected with a plurality of antennas; enabling each antenna to be close to a corresponding to-be-testedmobile intelligent terminal; controlling the antenna change-over switch to be in change-over connection with a corresponding antenna close to the mobile intelligent terminal; the mobile intelligent terminal transmits and receives a mobile network signal to and from the wireless comprehensive tester through the corresponding antenna which is close to the mobile intelligent terminal. Therefore, a mobile network performance detection result of the mobile intelligent terminal is obtained; the antennas connected with the antenna change-over switch can be changed over; the wireless comprehensive tester can test multiple mobile intelligent terminals at the same time, the use frequency of the wireless comprehensive tester is improved, the mobile network performance detection result of the mobileintelligent terminals can be obtained efficiently and accurately at low cost, and a reliable basis is provided for accurate valuation of the mobile intelligent terminals.
Owner:SHANGHAI WANWUXINSHENG ENVIRONMENTAL PROTECTION TECH GRP CO LTD
A fast interpolation and coloring method for meteorological automatic station data
ActiveCN110457530BImprove analysis efficiencyEfficient treatment methodTexturing/coloringOther databases indexingForm analysisAlgorithm
The invention provides a fast interpolation and coloring method for meteorological automatic station data, comprising the following steps: spatial form analysis of station data, spatial data sequence index, matrix operation, weight calculation of points to be interpolated, coloring of interpolation conclusions to generate pictures, in progress Adjustment, the rapid interpolation and coloring method of meteorological automatic station data in this technical solution is efficient, the estimation is accurate, and the fast calculation and coloring interpolation method can effectively improve the efficiency of data analysis. Under the same hardware configuration, the same data source and graphical Under the standard premise, compared with the traditional method, the initial interpolation speed is increased by about 30%, and the subsequent interpolation speed is increased by about 10 times.
Owner:广州软博信息科技有限公司
A multi-core cache wcet analysis method that supports instruction prefetching
InactiveCN107844380BAccurate ValuationAccurate Valuation TaskHardware monitoringReliability/availability analysisProgramming languageMulticore architecture
The invention relates to a multi-core cache WCET analysis method supporting instruction prefetching, and belongs to the technical field of embedded real-time system application. Accordingly, on the basis of the shared-cache-based multi-core cache structure, for the WCET analysis problem in instruction prefetching, and by expanding instruction prefetching semantics, cache is instructed to access classification in advance, and then the influence of instruction prefetching on the private L1 instruction cache state and the shared L2 instruction cache state is analyzed. Therefore, the accuracy of application program WCET analysis is improved. The method can be widely applied to schedulable analysis of tasks in a real-time system, and then an accurate and compact WCET assessment value is obtained.
Owner:BEIJING INSTITUTE OF TECHNOLOGYGY
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