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46 results about "Combinatorial algorithms" patented technology
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Combinatorial algorithms are algorithms that deal with combinatorial structures, which are sets, ordered n-tuples, and any structures that can be built from them, like graphs. Combinatorial algorithms include algorithms for: Elementary configurations.
Method for control of gaming systems and for generating random numbers
InactiveUS20060165235A1Convenient timeImprove efficiencyRandom number generatorsMultiple digital computer combinationsArray data structureNumber generator
An apparatus for implementing a game having a deterministic component and a non-deterministic component wherein a player uses the game through at least one player interface unit. Each player interface unit generates a player record indicating player-initiated events. A random number generator provides a series of pseudo-random numbers and a rules library stores indexed rules for one or more games. An interface registry stores mapping records where the mapping records are used to associate the player-initiated events to pre-selected rules in the rules library. A control means is coupled to the player interface to receive the output of the player interface unit, coupled to the interface registry, the rules library, and the random number generator. The control means processes the player record and returns an output record to the player interface unit where the output record is determined by executing the game's rules with reference to the pseudo-random numbers and predefined combinatorial algorithms for selecting sets of the pseudo-random numbers.
Owner:ZYNGA
Regular expression pattern matching using keyword graphs
InactiveUS20120221494A1Few operatorMaintain propertiesDigital computer detailsElectric digital data processingGraphicsPattern matching
Expanding a regular expression set into an expanded expression set that recognizes a same language as the regular expression set and includes more expressions than the regular expression set, with less operators per expression includes: logically connecting the expressions in the regular expression set; parsing the expanded expression set; transforming the parsed expanded expression set into a Glushkov automata; transforming the Glushkov automata into a modified deterministic finite automaton in order to maintain fundamental graph properties; combining the modified DFA into a keyword graph using a combining algorithm that preserves the fundamental graph properties; and computing an Aho-Corasick fail function for the keyword graph using a modified algorithm to produce a modified Aho-Corasick graph with a goto and a fail function and added information per state.
Owner:IBM CORP
Probability integral parameter prediction method for optimizing BP neural network based on MIV-GP algorithm
According to the invention, a probability integral method parameter prediction model for optimizing the BP neural network based on a combined algorithm (GP) of a genetic algorithm and a particle swarmoptimization algorithm, and an input layer of the BP neural network is optimized by adopting an average influence value algorithm (MIV), so that the complexity of the network is reduced, and the purpose of improving the prediction precision is achieved. An MIV-GP-BP model is established by taking actual measurement data of 50 working surfaces as a training set and a test set of the BP neural network, and the precision and reliability of a model prediction result are analyzed; the results show that: in five parameters, the root mean square error ranges from 0.0058 to 1.1575; the maximum relative error of q, tan beta, b and theta is not more than 5.42%, the average relative median error is less than 2.81%, the s / H relative error is not more than 9.66%, the average relative median error is less than 4.31% (the parameter itself is small), and the optimized neural network model has higher prediction precision and stability.
Owner:ANHUI UNIV OF SCI & TECH
Face Detection System for Video Encoders
ActiveUS20100166055A1Color television with pulse code modulationColor television with bandwidth reductionFace detectionVideo encoding
Embodiments include a codec for use in a videoconferencing or similar system includes a video encoder pipeline that has a pre-processor component that is optimized to detect faces and compress the facial video data in an optimum manner. The codec has a pre-processing step that analyzes each frame on a per macroblock basis to determine the mathematical activity level per block. The activity level calculation is used as a parameter to the bitrate control module of the encoder to control the quantization, and thus the fine grained quality of the output data. An object detection module (e.g., a face detector) is placed in the pre-processing step. The object detection data is then combined with the activity level and object detection certainty value through a combinatorial algorithm comprising a weighted average or normalized multiplication process.
Owner:ADVANCED MICRO DEVICES INC
Fast combinatorial algorithm for the solution of linearly constrained least squares problems
ActiveUS7451173B1Computation using non-contact making devicesComplex mathematical operationsConstrained least squaresCombinatorial algorithms
A fast combinatorial algorithm can significantly reduce the computational burden when solving general equality and inequality constrained least squares problems with large numbers of observation vectors. The combinatorial algorithm provides a mathematically rigorous solution and operates at great speed by reorganizing the calculations to take advantage of the combinatorial nature of the problems to be solved. The combinatorial algorithm exploits the structure that exists in large-scale problems in order to minimize the number of arithmetic operations required to obtain a solution.
Owner:NAT TECH & ENG SOLUTIONS OF SANDIA LLC
Combined vehicle position measurement method
The invention provides a simple and reliable inertia / GPS (global positioning system) / milemeter combined algorithm for solving the precision positioning problem of vehicles in complex environments, such as bridges, trees, tunnel barriers, urban canyons and the like. The method comprises the following steps of: respectively independently calculating position information of a carrier through an inertia / GPS combined navigation algorithm and a milemeter dead reckoning algorithm, further fusing the position information obtained by calculation through the two different algorithms through an output correction filter with simple design, and finally giving out high-precision vehicle position information. Compared with a traditional single-filter deep combined algorithm, the method has the advantages of stronger environmental adaptability, no sensitivity to error models of GPS, inertial navigation and a milemeter, high reliability, high output precision, easiness in implementation and the like, and can well solve the precision positioning problem of the vehicles in the complex environments.
Owner:北京星网宇达科技股份有限公司
Map optimization method and system for mobile robot SLAM
ActiveCN111551184AImprove efficiencyQuality improvementInstruments for road network navigationEngineeringInformation environment
The invention relates to a map optimization method and system for a mobile robot SLAM. The method comprises the steps: acquiring the environment information collected by a mobile robot, wherein the environment information is obtained by scanning in an environment of a to-be-constructed map by the mobile robot; obtaining a plurality of indexes representing the quality of the environment grid map, wherein the plurality of indexes comprise a grid occupancy rate, an angular point number and a closed area number; taking the plurality of indexes as targets, and performing multi-target iterative optimization according to the environment information and the ranges of the plurality of parameters to be optimized in the SLAM algorithm to obtain an optimal parameter combination in the SLAM algorithm,wherein the SLAM algorithm is used for generating an environment grid map according to the environment information; generating an optimal environment grid map by adopting an SLAM algorithm of the optimal parameter combination according to the environment information, wherein the optimal environment grid map is used for navigation and positioning of the mobile robot. According to the invention, themap construction efficiency and the map quality of the SLAM can be improved.
Owner:上海金上矢科技有限公司
Transparent floor tile screen with full transparency and force perception
ActiveCN111161647AAugmented reality effectInput/output processes for data processingIdentification meansMicrocomputerEngineering
The invention discloses a transparent floor tile screen with full transparency and force perception. The transparent floor tile screen comprises an electromechanical structure and a software module, the electromechanical structure comprises a transparent liquid crystal screen, a pressure sensing array, a transparent plastic layer, a metal support, a communication module, a pick array and a microcomputer. And the software module comprises a screen combination algorithm and a pressure analysis algorithm. By implementing the above content, the transparent floor tile screen based on the transparent liquid crystal screen and the pressure sensing array is realized, the floor tile screen can directly see the under-foot scenery from the upper part of the high altitude, the under-foot real sceneryand the stimulated virtual effect are combined, and the effect of augmented reality is achieved.
Owner:南京奥汀科技发展有限公司
Satellite and inertia combined dynamic-to-dynamic real-time precise relative positioning method
ActiveCN112147663AImprove update rateTolerance lossNavigation by speed/acceleration measurementsSatellite radio beaconingObservation dataSimulation
The invention provides a satellite and inertia combined dynamic-to-dynamic real-time precise relative positioning method. The method comprises the following steps of: acquiring a relative positioningvector between a mobile station and a dynamic reference based on a carrier phase real-time dynamic differential relative positioning method; acquiring a mobile station position increment, a dynamic reference position increment and a position increment of the mobile station within a measurement updating time interval delta tTC based on a carrier phase GNSS / inertial navigation tight combination algorithm; and acquiring the dynamic reference position increment within a forecast time delta tp based on a polynomial forecast method of a sliding window; and finally synthesizing and outputting a relative positioning result. The method can overcome the influence caused by the position increment and GNSS original observation data broadcast delay, and can provide a precise relative positioning resultwith an extremely high update rate through a low data broadcast rate and a sampling rate.
Owner:NAT UNIV OF DEFENSE TECH
Distribution transformer heavy overload prediction method and system based on Prophet-LSTM combinatorial algorithm
PendingCN112785042AImprove preprocessing accuracyHigh precisionForecastingNeural architecturesDistribution transformerTransformer
The invention discloses a distribution transformer heavy overload prediction method and system based on a Prophet-LSTM combinatorial algorithm. The method comprises the steps of obtaining and preprocessing historical load data of a distribution transformer; determining influence factors having correlation with the heavy and overload load values of the distribution transformer as characteristic factors for prediction of the distribution transformer; decomposing the load data of the distribution transformer into a trend component, a periodic component and a data mutation item component; and respectively establishing a corresponding prediction model for each component for prediction, and integrating predicted values of each component to obtain a predicted value of the load data of the distribution transformer. The invention provides a new algorithm of the distribution transformer load data cleaning and processing method, the periodicity, the missing property and the continuity of the data are considered, the data can be restored to the maximum extent, and the preprocessing precision of the data is improved.
Owner:STATE GRID SHANDONG ELECTRIC POWER +1
Path optimization method based on dynamic window and redundant node filtering
ActiveCN113341991AReduce limitationsConvenient lengthHigh level techniquesPosition/course control in two dimensionsPathPingData set
The invention discloses a path optimization method based on a dynamic window and redundant node filtering, which comprises the following steps of determining coordinate information of a starting position and a target position of motion by utilizing an existing grid map data set, and marking a target node and an obstacle node in a grid map; planning a global path by using an A * algorithm; performing global optimization by using a global path planned by an A * algorithm, and filtering redundant nodes; and performing segmented local optimization on the optimized global path in combination with a dynamic window method to obtain a final global path. According to the invention, the combinatorial algorithm is used to reduce the single motion duration of the mobile robot and improve the smoothness of the motion path curve; and meanwhile, the problem of the robot in a static driving route process is solved, and a flexible obstacle avoidance function can be realized in a planned route section.
Owner:CHONGQING UNIV +2
Face detection system for video encoders
ActiveUS8270476B2Color television with pulse code modulationColor television with bandwidth reductionFace detectionVideo encoding
Owner:ADVANCED MICRO DEVICES INC
Method for economically optimizing design scheme of electric collection system of large-scale offshore wind farm
PendingCN112909981APower network operation systems integrationElectric power transfer ac networkGraph theoreticCollection system
The invention provides a method for economically optimizing a design scheme of an electrical collection system of a large-scale offshore wind farm, which is characterized by comprising the following steps: 1) selecting the large-scale offshore wind farm, and carrying out fan string division on the wind farm in a power transformation area by adopting a regional radiation fuzzy clustering algorithm; and 2) searching an optimal cable topology link path for the fan after each partition and string division, wherein the step can be completed by using a graph theory and a minimum spanning tree Primer shortest path optimization algorithm; 3) calculating the total cost of the optimal collection topology under all the sub-methods according to the sub-regions and the types of the fan strings, seeking the optimal cost, and ending the algorithm. The combinatorial algorithm solves the problem of curse of dimensionality of a topological structure optimized by an exhaustion method, and provides support for simply and quickly solving the problem of economical efficiency optimization of a large offshore wind power plant collection system. And finally, example analysis of the combinatorial optimization algorithm is performed on a wind power plant example in northern peninsula of Shandong, and the effectiveness of the combinatorial optimization algorithm is proved.
Owner:YANTAI POWER SUPPLY COMPANY OF STATE GRID SHANDONG ELECTRIC POWER +2
Power equipment defect text feature classification method based on combinatorial algorithm
PendingCN114372464AImprove accuracyImplement extractionCharacter and pattern recognitionNatural language data processingText categorizationSvm classifier
The invention discloses a power equipment defect text feature classification method based on a combinatorial algorithm. The method comprises the following steps: establishing a dictionary and a stop word table according to defect description of power equipment; performing Jieba word segmentation on the defect text; representing the text subjected to word segmentation in a distributed manner according to a word vector representation method; carrying out weight distribution according to an Attention mechanism, carrying out further extraction of features according to a CNN algorithm, and then carrying out feature weight distribution according to the Attention mechanism to obtain Attention-CNN extraction features; extracting text features according to an RNN algorithm to obtain RNN extraction features; and fusing and inputting the two extracted features into an SVM classifier to obtain the division of the defect features of the power equipment. According to the method, the text features are subjected to weight distribution, the two extracted features are fused, comprehensive extraction of the text features and distribution of feature weights are achieved, and therefore the accuracy of power equipment defect text classification is effectively improved.
Owner:YUNNAN POWER GRID CO LTD ELECTRIC POWER RES INST
Method for Detecting Trailer Status Using Combined 3D Algorithms and 2D Machine Learning Models
Owner:ZEBRA TECH CORP
Electric power professional lexicon construction method based on hybrid model and clustering algorithm
PendingCN113609844ABuild completeEffectively completedData processing applicationsNatural language data processingCluster algorithmEngineering
The invention relates to the field of artificial intelligence, in particular to an electric power professional lexicon construction method based on a hybrid model and a clustering algorithm. The method includes preprocessing the power text and the parallel corpus; performing word segmentation through a word segmentation model, performing word combination on a Jieba word segmentation result through a mutual information and left and right entropy algorithm and a TextRank algorithm, wherein text keywords are extracted from the Jieba word segmentation result through a TF-IDF algorithm and a Word2Vec word clustering algorithm, and text word segmentation is directly carried out through an information entropy word segmentation algorithm; summarizing the results, and comparing to obtain feature corpus words; selecting power professional words from the feature corpus words as seed words; meanwhile, using the exported power text lexicon as candidate words to perform word segmentation on the power text, and then using a word2vec algorithm to convert the words into word vectors; obtaining similar words through clustering, and then obtaining a power professional word library through rule filtering. According to the invention, most professional words in the non-power field can be filtered by using one clustering model, and the professional words are relatively complete.
Owner:JINCHENG POWER SUPPLY COMPANY OF STATE GRID SHANXI ELECTRIC POWER
Rendering image super-resolution texture enhancement method and device, equipment and storage medium
PendingCN112801878AReduce sizeSmall amount of calculationGeometric image transformation3D-image renderingComputer graphics (images)Image resolution
The invention provides a rendering image super-resolution texture enhancement method and device, equipment and a storage medium. The method comprises the steps: generating a rendering effect picture of a first resolution of a target scene; generating a non-illumination texture graph of a second resolution, a non-illumination normal graph with concave-convex textures of the second resolution and a rendering effect graph of the second resolution of the target scene, wherein the second resolution is greater than the first resolution; synthesizing the non-illumination texture graph of the second resolution and the non-illumination normal graph with the concave-convex texture of the second resolution into a composite graph according to a preset data combination algorithm; and reconstructing the rendering effect picture of the first resolution of the target scene into a rendering effect picture of a second resolution according to a super-resolution reconstruction algorithm and the composite picture. According to the invention, it is ensured that the low-resolution image is rendered into the high-resolution image, and meanwhile, the rendering time consumption and the calculation amount are reduced.
Owner:GUANGDONG SANWEIJIA INFORMATION TECH CO LTD
Informatization management system for construction projects of protection areas along subway
InactiveCN114739390AImprove efficiencyImprove accuracyNavigation by speed/acceleration measurementsOffice automationInformatizationMobile end
The invention discloses an informatization management system for construction projects of protection areas along a subway. The informatization management system comprises a navigation positioning terminal, a monitoring platform and a mobile terminal APP, wherein the navigation positioning terminal is interconnected with the monitoring platform through a data transmission technology and is used for transmitting current position information of inspectors along a subway to the monitoring platform in real time; the monitoring platform is interconnected with the mobile terminal APP through an HTTP (Hyper Text Transport Protocol), and is used for receiving the current position information, sent by the navigation positioning terminal, of the inspector along the subway in real time, displaying the current position information on a Web terminal and sending the current position information to the mobile terminal APP; and the mobile terminal APP is used for receiving the position information sent by the monitoring platform and then displaying the current position in real time. According to the intelligent subway protection area construction project informatization management system, the technology and the scene are combined, a WHCORS platform and an RTK / INS combination algorithm are combined, a high-precision surveying and mapping service system is established, meanwhile, the system is integrated into a mobile phone APP of a high-precision map, and an intelligent and convenient management scheme is achieved.
Owner:WUHAN METRO GROUP +1
A method for determining the optimal back pressure of direct air-cooled units
ActiveCN113503750BHelps tap deep energy-saving potentialDeep mining of energy-saving potentialSteam/vapor condensersFrequency conversionProcess engineering
Owner:TAIYUAN UNIV OF TECH
Medium and long term unit commitment accurate modeling technical method comprehensively considering complex large power grid operation constraint conditions
PendingCN113642792AReduce the calculation dimensionRealize engineering applicationLoad forecast in ac networkForecastingControl engineeringPower grid
The invention belongs to the technical field of power grid systems, and particularly relates to a medium and long term unit combination accurate modeling technical method comprehensively considering complex large power grid operation constraint conditions, which comprises the following steps: establishing a medium and long term bus load prediction tool considering renewable energy output, including: restoring renewable energy associated bus load sample data; performing medium and long term bus load prediction considering renewable energy data correction; performing medium and long term bus load prediction considering equipment maintenance plan correction; and establishing a medium and long term unit combination and power generation plan compilation tool for promoting renewable energy consumption, wherein the medium and long term unit combination and power generation plan compilation tool comprises a medium and long term unit combination and a power generation plan optimization calculation function module. According to the method, the calculation dimension of the problem model is reduced by considering the aspects of model description, calculation time period, effective integer variable pre-recognition, effective security constraint pre-recognition and the like through the physical characteristics of an actual system, the solving efficiency is greatly improved on the premise of not losing the solving precision, and the engineering application of a medium-and-long-term unit commitment algorithm is realized.
Owner:CHINA SOUTHERN POWER GRID COMPANY
Gearbox parameter optimization method and system based on combined intelligent algorithm
PendingCN114756984ABroad robustness advantageAccurate and fast multi-objective optimizationGeometric CADCharacter and pattern recognitionLocal optimumPareto optimal
The invention provides a gearbox parameter optimization method and system based on a combined intelligent algorithm. The gearbox parameter optimization method comprises the steps that according to the gearbox gear number, the maximum transmission ratio and the minimum transmission ratio, the transmission ratio of each gear distributed by geometric progression is obtained; obtaining a combination scheme of the transmission ratio of the gearbox according to a certain value range and a certain value step length for the transmission ratio of each gear distributed by the geometric progression; according to the obtained gearbox transmission ratio combination scheme, a preset dynamic property model and a fuel economy model, based on a combination algorithm of an ant colony algorithm and an artificial fish swarm algorithm, multi-objective optimization is carried out to determine a Pareto optimal solution, and an optimal gearbox transmission ratio scheme is selected according to different requirements; according to the method, the ant colony algorithm can rapidly converge to a local optimal value and the artificial fish swarm algorithm can obtain a wide robustness advantage, a combined intelligent algorithm is formed, the dynamic property and the fuel economy are considered, more accurate and rapid multi-objective optimization is realized, and an optimal gearbox matching scheme is efficiently and accurately obtained.
Owner:SHANDONG UNIV
Scheduling, distributing and combining method and system for physical resources in cloud scene
PendingCN113709241ASolve the time-consuming allocation acquisitionAddressing inhomogeneityResource allocationCharacter and pattern recognitionNode countData system
The invention discloses a scheduling, distributing and combining method and system for physical resources in cloud scene, and the method comprises the following steps: obtaining resource request data, and generating resource request object data, physical node data and distribution quantity data according to the processing of the resource request data; obtaining resource candidate data of the resource request object data from a resource database according to resource specification requirements in the resource request object data, and filling the resource request object data with the resource candidate data; combining the resource candidate data according to the physical node data to obtain a resource allocation list; and obtaining a corresponding amount of distribution data from a resource distribution list according to the distribution amount data. The system comprises a client, a server and a resource database, the server comprises a resource request analysis module, a resource candidate screening module, a resource candidate combinatorial algorithm module and an integration result processing module, the problems of time consumption and non-uniformity in allocation and acquisition under a large number of equipment scenes can be solved, and the effects of second-level return and uniform results are achieved.
Owner:SHANGHAI DATATOM INFORMATION TECH CO LTD
Prediction method of probability integral parameter based on miv-gp algorithm to optimize bp neural network
The invention proposes a combined algorithm (GP) based on genetic algorithm and particle swarm algorithm to optimize the probability integral method parameter prediction model of BP neural network, and adopts mean influence value algorithm (MIV) to optimize the input layer of BP neural network, thereby reducing the The complexity of the network can improve the prediction accuracy. The MIV-GP-BP model was established with the measured data of 50 working faces as the training set and test set of BP neural network, and the accuracy and reliability of the model prediction results were analyzed. All are between 0.0058 and 1.1575, the maximum relative error of q, tanβ, b, θ is less than 5.42%, the average relative error is less than 2.81%, the relative error of s / H is less than 9.66%, and the average relative error is less than 4.31 % (the parameter itself is smaller), the optimized neural network model has higher prediction accuracy and stability.
Owner:ANHUI UNIV OF SCI & TECH
GNSS/MINS (global navigation satellite system/micro-electro-mechanical systems inertial navigation system) super-deep combination navigation method, system and device
ActiveCN103235327BBig errorExcellent navigation performanceSatellite radio beaconingSatellite systemNavigation function
Owner:TSINGHUA UNIV
Station flow prediction method and device
InactiveCN111901189AImprove accuracyImprove maintenance efficiencyDatabase management systemsKernel methodsTraffic predictionInternet traffic
The invention discloses a station flow prediction method and device. The method comprises the steps of obtaining log data, calculating a predicted value based on the log data according to a Kalman filtering algorithm and a support vector machine (SVM) in order to obtain effective data more conveniently, calculating a weight by comparing an actual flow value, and constructing a parallel combinationmodel, establishing a prediction model according to a flow sequence in log data, obtaining predicted site network flow values, and using test data to check model prediction precision. By comparing results of Kalman prediction, SVM prediction and parallel combination model prediction based on Kalman and SVM, it is proved that a combination algorithm is adopted to predict network traffic, and the defect of single prediction of a traditional time sequence model is overcome; and the flow prediction result of the parallel combination model is reliable and effective and is more suitable for predicting the station flow. The parallel combination model can be applied to prediction of network traffic in a high-performance computing environment.
Owner:XI AN JIAOTONG UNIV
Machine learning-based early accelerated aging diagnosis method for ternary lithium ion battery
The invention discloses a machine learning-based early accelerated aging diagnosis method for a ternary lithium ion battery. The method comprises the steps that 17 aging feature parameters representing the health state of the ternary lithium ion battery are extracted from a discharge capacity-voltage curve, a discharge IC curve and a discharge DV curve of the ternary lithium ion battery; then, a new combinatorial algorithm is utilized to accurately diagnose accelerated aging of the ternary lithium ion battery in an early stage, firstly, important features are selected through a random forest, then, linear correlation of the important features is reduced through linear correlation analysis, and finally, accelerated aging is judged through a logistic regression model. Accurate early diagnosis of accelerated aging of the ternary lithium ion battery is realized, so that whether accelerated aging of the ternary lithium ion battery occurs or not is judged in the early stage, and important information is provided for health state management and health state evaluation of the lithium ion battery.
Owner:BEIJING JIAOTONG UNIV
Method of calculating TAVI based on a band ratio model and solar altitude angle
ActiveUS10527542B2Accurate and convenient in applicationAccurate inversion of the vegetation informationMaterial analysis by optical meansCharacter and pattern recognitionTwo bandSolar altitude
The present invention relates to a method of calculating a Topography Adjusted Vegetation Index (TAVI) based on a band ratio model and a solar altitude angle. The method includes the following steps: obtaining the apparent reflectance data of a remote sensing image through image preprocessing, analyzing the quality of the image and numerical distribution, calculating a Shadow Vegetation Index (SVI), and constructing a TAVI combinational algorithm:TAVI=BirBr+f(Δ)·1Br,calculating an adjustment factor f(Δ) with the solar altitude angle, and finally obtaining anti-topographic effect TAVI vegetation information. The TAVI in the present invention is composed of two band ratio submodels RVI and SVI, the denominators of both of which are red band data of a remote sensing image, and the adjustment factor f(Δ), which is calculated by a solar altitude angle as a parameter with a sensor factor applied, has great physical significance. The TAVI calculation method does not need digital elevation model (DEM) data and remote sensing image classification when not depending on ground survey data, and ensures that the interference of the topographic effects with the vegetation information can be effectively eliminated by the TAVI, thereby avoiding the problem of reduced inversion accuracy of ground vegetation information due to different registration accuracy of a remote sensing image and DEM data.
Owner:FUZHOU UNIV
Method, medium, and system for batch-processing and on-demand processing to provide recommendations
ActiveUS10956960B2Efficiently and effectively provideBuying/selling/leasing transactionsResourcesBatch processingTheoretical computer science
Systems and methods described herein, which utilize a combination of batch-processing and on-demand processing to provide recommendations, can include database(s) that store client data, item data, and executable code for composable algorithms that utilize the client data and / or the item data to provide recommendations. The system also includes a batch-process results data store that stores results of composable algorithms executed using batch-processing. Additionally, the system includes an algorithm engine that accepts calls to composable algorithms and output results thereof. The algorithm engine determines which called composable algorithms are designated as being executable using batch-processing, and which are designated as being executable using on-demand processing. The algorithm engine returns results of called composable algorithms designated as being executable using on-demand processing by executing the executable code thereof, and returns results of called composable algorithms designated as being executable using batch-demand-processing by obtaining the results from the batch-process results data store.
Owner:STITCH FIX INC
A transparent floor tile screen with full transparency and force perception
ActiveCN111161647BAugmented reality effectInput/output processes for data processingIdentification meansMicrocomputerComputer graphics (images)
A transparent floor tile screen with complete transparency and force perception, including an electromechanical structure and a software module; the electromechanical structure includes a transparent liquid crystal screen, a pressure sensing array, a transparent plastic layer, a metal bracket, a communication module, a paddle array, and a microcomputer; the said The software module includes screen combination algorithm and pressure analysis algorithm. By realizing the above content, a transparent floor tile screen based on a transparent LCD screen and a pressure-sensing array is realized. The floor tile screen can directly see the scenery under the feet from the high altitude, and combines the real scenery under the feet with the stimulating virtual effect to achieve an enhanced realistic effect.
Owner:南京奥汀科技发展有限公司
A Neural Network Based Combined Forecasting Method for Bus Passenger Flow by Period
ActiveCN109376935BPredictive stabilityImprove predictive performanceForecastingNeural learning methodsPrediction algorithmsPredictive methods
The invention discloses a neural network-based time-period combination prediction method for bus passenger flow, which includes four steps: collecting basic relevant information, determining optimal input data, determining a combination prediction algorithm, and determining the performance of the prediction algorithm. This method fully considers the applicability of different algorithms in different situations, assigns the weight value of each time period to the two neural network algorithms in different time periods, and combines the prediction advantages of different single algorithms in different time periods to obtain the optimal prediction results in each time period. It makes up for the shortcomings of a single algorithm with large limitations, improves the prediction accuracy, prediction stability and generalization of the model, thereby improving the overall performance of the model, and making the bus passenger flow prediction more reliable and accurate. In addition, the present invention screens data through a single algorithm, and guarantees the prediction performance of the combined algorithm to the greatest extent under the condition that the amount of information in the input data is sufficient.
Owner:SOUTHEAST UNIV
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