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36 results about "Local adaptation" patented technology
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Local adaptation is when a population of organisms has evolved to be more well-suited to its environment than other members of the same species. This occurs due to differential pressures of natural selection on populations from different environments. For example, populations of a species that lives within a wide range of temperatures may be locally adapted to the warmer or cooler climate where they live. More formally, a population is said to be locally adapted if organisms in that population have differentially evolved as compared to other populations within their species in response to selective pressures imposed by some aspect of their local environment. Local adaptation is often determined via reciprocal transplant experiments, where organisms from one population are transplanted into another population, and vice versa, and their fitnesses measured. If the foreign (transplanted) organisms have lower fitness than the native organisms in an environment, then the native population can be said to be locally adapted.
Global Classifier with Local Adaption for Objection Detection
Aspects of the present invention include object detection training systems and methods and using object detection systems and methods that have been trained. Embodiments presented herein include hybrid learning approaches that combine global classification and local adaptations, which automatically adjust model complexity according to data distribution. Embodiments of the present invention automatically determine model complexity of the local learning algorithm according to the distribution of ambiguous samples. And, embodiments of the local adaptation from global classifier avoid the common under-training problem for local classifier.
Owner:SEIKO EPSON CORP
Method and device for visualizing the surroundings of a vehicle
ActiveUS7593573B2Avoid accidentsRaise attentionTelevision system detailsSolid-state devicesNight visionObject based
A method and device for visualizing the surroundings of a vehicle, in particular for detecting and representing the traffic situation in front of a driver are provided. A night vision information system fuses video images from essentially the same location and time but from different spectral regions are fused using weighting factors. The video images are weighted with a globally settable preliminary weighting factor, and an object analysis of the video images is performed. Based on the object analysis the weighting factors are locally adapted in an object-selective manner.
Owner:BAYERISCHE MOTOREN WERKE AG
Device and method of automated construction of emergency flight path for aircraft
InactiveUS8521340B2Improve versatilityAnalogue computers for vehiclesAnalogue computers for trafficProgram planningFlight management system
The invention relates to a flight management system for manned or unmanned aircraft having to face an emergency situation such as hijacking of the aircraft, medical emergencies, situations of failures affecting the propulsion, pressurization or communication functions for example. It provides for a device and process for automatically or semi-automatically generating a flight plan compatible with international regulations and their national or local adaptations with possibilities of optimization according to navigation parameters.
Owner:THALES SA
Regional progressive meshes
A regional progressive mesh provides support for real-time rendering of large-scale surfaces with locally adapting surface geometric complexity according to changing view parameters. The regional progressive mesh is constructed by subdividing an initial detailed mesh one or more times into multiple sub-regions as an iterative or recursive process. Each sub-region is separately simplified, and the localized transformations recorded in separate segments in a sequence of mesh refinement transformations that form the progressive mesh representation. The resulting regionalized organization of mesh refinement transformations reduces the working set of memory pages containing progressive mesh data needed for real-time view-dependent adaptation and rendering of the mesh surface. An exact approximate error measurement of a vertex split transformation also is defined as the maximum height deviation at enumerated vertices in the open neighborhood of the transformation relative to a regular triangulation of grid points, where the enumerated vertices include the grid points internal to the faces adjacent the split vertex and the grid line crossings internal to edges adjacent the split vertex.
Owner:MICROSOFT TECH LICENSING LLC
Self-adapting regular super resolution image reconstruction method for maintaining edge clear
The invention discloses a self-adaptive regularized super-resolution image reconstruction method which can keep marginal definition, which mainly solves the problem that the prior method has edge fog in reconstruction of a degraded image. The method comprises the following steps: an imaging model is constructed; on the basis of an unconstrained objective function constructed by a Lagrangian multiplier method, gradient is increased to approach a bound term; the objective function is expanded; L1 norm is adopted to measure a data approximation term; a self-adaptive bilateral total variation model which can carry out local adaptive control on the smoothing effect is utilized to construct a self-adaptive regular term; a gradient approximation term is added to be as constraint of gradient consistency; edge information is kept; the self-adaptive regular term and a gradient consistency bound term are introduced as constraint conditions; an expanded Lagrangian objective function is constructed and optimized; and an optimized unconstrained objective function is utilized to reconstruct an image, thereby obtaining a high-resolution image of which the edge is kept. The method can keep image edge clear, can inhibit noise and is suitable for restoration treatment on the degraded image.
Owner:XIDIAN UNIV
Dictionary database-based adaptive image super-resolution reconstruction method
InactiveCN102968766AQuality improvementSufficient prior informationImage enhancementReconstruction methodHigh resolution image
The invention discloses a dictionary database-based adaptive image super-resolution reconstruction method in the field of image processing. The dictionary database-based adaptive image super-resolution reconstruction method comprises the steps of: adaptively selecting a matched dictionary from a dictionary database according to a characteristic vector of each low-resolution image block, if the matching fails, re-training to obtain a proper dictionary, updating the dictionary into the dictionary database, then carrying out super-resolution reconstruction on the blocks by using the dictionary to obtain image blocks with high resolution, and finally, recombining all blocks to obtain a high-resolution image. The dictionary database-based adaptive image super-resolution reconstruction method is test in a face image, results prove that the method is superior to a method using a single dictionary in term of the image reconstructing effect, training image blocks with higher matching degree can be screened out in a process of training a local adaptive dictionary; and since many matched image blocks exist, prior information of a training set is sufficient amd a reconstructing effect is greatly improved compared with that of the method using the single dictionary.
Owner:SHANGHAI JIAO TONG UNIV
Regional progressive meshes
A regional progressive mesh provides support for real-time rendering of large-scale surfaces with locally adapting surface geometric complexity according to changing view parameters. The regional progressive mesh is constructed by subdividing an initial detailed mesh one or more times into multiple sub-regions as an iterative or recursive process. Each sub-region is separately simplified, and the localized transformations recorded in separate segments in a sequence of mesh refinement transformations that form the progressive mesh representation. The resulting regionalized organization of mesh refinement transformations reduces the working set of memory pages containing progressive mesh data needed for real-time view-dependent adaptation and rendering of the mesh surface. An exact approximate error measurement of a vertex split transformation also is defined as the maximum height deviation at enumerated vertices in the open neighborhood of the transformation relative to a regular triangulation of grid points, where the enumerated vertices include the grid points internal to the faces adjacent the split vertex and the grid line crossings internal to edges adjacent the split vertex.
Owner:MICROSOFT TECH LICENSING LLC
Protein complex identification method based on key protein and local adaptation
ActiveCN102176223AEfficient identificationAccurate identificationSpecial data processing applicationsLife activityProtein-protein complex
The invention discloses a protein complex identification method based on key protein and local adaptation. Based on the importance of the key protein to life activities of organisms and the topological property of a protein interaction network, the invention discloses the protein complex identification method (EPOF) based on key protein and locally adapted protein by using the key protein as a seed. The protein complex identification method not only can be applied to a non-weighted protein interaction network, but also can be applied to a weighted protein interaction network. The protein complex identification method can be used for recognizing the protein complex more accurately only according to the protein interaction information and the key protein information, and predicting a large quantity of protein complexes in one step, and solves the problems of high cost, high time consumption and the like of the chemical experiment method.
Owner:CENT SOUTH UNIV
Multiple-wind-power-plant correlation modeling method based on adaptive multi-variable nonparametric kernel density estimation
ActiveCN107038292AImprove modeling accuracyGood precisionData processing applicationsSingle network parallel feeding arrangementsVariable kernel density estimationSelf adaptive
The invention discloses a multiple-wind-power-plant correlation modeling method based on adaptive multi-variable nonparametric kernel density estimation, and belongs to the technical field of multidimensional variable correlation research. The method comprises the following steps that: S1: establishing a multi-variable nonparametric kernel density estimation model of a wind power plant; S2: constructing a bandwidth optimization model; and S3: constructing a bandwidth solving method of the multi-variable nonparametric kernel density estimation model of the wind power plant on the basis of ordinal optimization. By use of a method, a modeling process is practical and simple, correlation among a plurality of random variables can be quickly and efficiently modelled. Compared with a traditional parametric estimation method based on a copula function, the method is higher in accuracy and applicability, and a local adaptation problem of a traditional multi-variable nonparametric kernel density estimation method is favorably solved.
Owner:CHINA THREE GORGES UNIV
Method of producing a heterostructure with local adaptation of the thermal expansion coefficient
ActiveUS20120018855A1Reduce strain and deformationImprove matchSemiconductor/solid-state device detailsSolid-state devicesThermal expansionMaterials science
A method of producing a heterostructure by bonding at least one first substrate having a first thermal expansion coefficient onto a second substrate having a second thermal expansion coefficient, with the first thermal expansion coefficient being different from the second thermal expansion coefficient. Prior to bonding, trenches are formed in one of the two substrates from the bonding surface of the substrate. The trenches are filled with a material having a third thermal expansion coefficient lying between the first and second thermal expansion coefficients.
Owner:SOITEC SA
Synergic variation differential evolutionary algorithm for high-dimensional parameter space wave form inversion
The invention discloses a synergic variation differential evolutionary algorithm for high-dimensional parameter space wave form inversion. According to the algorithm, a thought of resolving-coordination is introduced to the differential evolutionary algorithm, a high-dimensional unit is resolved to a series of sub components and a partial fitness function is introduced for evaluating each sub component. A variation direction of each sub component is guided through partial fitness in vibration operation and each sub component is adjusted through overall situation in a selection operation so that co-evolution is achieved. Compared with a common simulated annealing method and a genetic algorithm, the synergic variation differential evolutionary algorithm is more suitable for the high-dimensional parameter space wave form inversion. Under the conditions that a layer is thin and the number of to-be-inversed parameters is large, a solution close to a true value can be researched through the synergic variation differential evolutionary algorithm. In addition, the rate of convergence of the synergic variation differential evolutionary algorithm is not sensitive to increase of a dimensionality so that the rate of the convergence is fast when the dimensionality is high.
Owner:XI AN JIAOTONG UNIV
Reduction of memory instability by local adaptation of re-crystallization conditions in a cache area of a semiconductor device
ActiveUS7811876B2Improve performanceReduce probabilitySolid-state devicesSemiconductor/solid-state device manufacturingParallel computingInstability
Owner:GLOBALFOUNDRIES U S INC
Global classifier with local adaption for objection detection
ActiveUS8842883B2Digital data processing detailsCharacter and pattern recognitionRound complexityLocal learning
Owner:SEIKO EPSON CORP
Multi-constraint service selection method and device based on global QoS decomposition
The invention relates to a multi-constraint service selection method and device based on global QoS decomposition, which is realized by establishing a single object optimization model with a number of constraints. The method comprises the steps that a corresponding dependency set and collision set are established for each candidate service according to the service dependency transmission characteristic; the global QoS constraint is decomposed into local QoS constraints corresponding to each service class; candidate services which do not satisfy the local QoS constraints under the service class are filtered; all filtered candidate services are checked, and the dependency set and collision set of the remaining candidate services are updated; an adaptive replacement method is used to carry out quality scale combination replacement in an unresolved state; the local fitness of each candidate service is calculated; and the candidate service with the greatest local adaptability in each service class is selected to form the final combination service. According to the invention, the complexity and running time are greatly optimized; the real-time demand of a user is satisfied; the scale of a candidate service space is narrowed; and the quality and performance of the network combination service are effectively ensured.
Owner:THE PLA INFORMATION ENG UNIV
Locally adapted hierarchical basis preconditioning
InactiveUS7822289B2Increase condition numberSimple calculationCharacter and pattern recognitionComplex mathematical operationsTone mappingPreconditioner
A “Finite Element Preconditioner” provides locally adapted hierarchical basis functions for preconditioning large data optimization problems. For example, a few of the many typical graphics applications that make use of iterative optimization solutions include tone mapping, gradient domain blending, colorization, and scattered data interpolation. Preconditioning image data for such optimization problems allows those image optimization problems to be solved using less computational overhead and therefore to produce better quality image outputs with less computational overhead. The Finite Element Preconditioner evaluates data, such as image data, to adapt hierarchical basis functions to inhomogeneous problems for preconditioning large optimization problems. Specifically, the Finite Element Preconditioner evaluates the local structure of a coefficient matrix derived from the data and performs a recursive set of variable eliminations, combined with a simplification of the resulting coarse level problems to obtain bases better suited for problems with inhomogeneous (spatially varying) data, smoothness, and boundary constraints.
Owner:MICROSOFT TECH LICENSING LLC
Silicon wafer surface topography reconstruction method based on B-spline
InactiveCN103295203AMinimize the number of sampling pointsSolve redundancyImage enhancementReconstruction methodAdaptive refinement
The invention provides a silicon wafer surface topography reconstruction method based on B-spline. The silicon wafer surface topography reconstruction method based on the B-spline comprises firstly fitting an input triangular mesh boundary, and then giving a boundary curve to perform surface fitting of an interpolation, and generating a first level B-spline surface; secondly, performing local adaptive refinement fitting on an error transfinite portion in an upper level B-spline surface and repeatedly performing local refinement fitting in this way until a given error is met; and finally, adding the multilevel B-spline surface with the offset to a base plane to obtain a fitting result. The silicon wafer surface topography reconstruction method based on the B-spline can simultaneously meet overall fitting and local adaptation of surface reconstruction, and effectively avoids data redundancy; and is strong in robustness and has significant effects for solving non-linear problems and restraining fuzzy noises; and the reconstructed surface is smooth and burr-free, so that the method can better meet response frequency requirements of actual motion of a motor.
Owner:INST OF OPTICS & ELECTRONICS - CHINESE ACAD OF SCI
Community self-organizing detection method for power network fault diagnosis
ActiveCN103390198AFew adjustment parametersSimple designForecastingInformation technology support systemPower gridNetwork model
The invention discloses a community self-organizing detection method for power network fault diagnosis. The method comprises the steps of firstly, collecting network characteristic parameters of power networks, then describing the power networks as weighted network models, constructing local fitness and global fitness functions, starting from grouped solutions of the power networks, which are generated randomly, calculating local fitness of each power node, sequencing the local fitness, selecting the nodes with the poor local fitness according to an expansion evolution probability distribution function, transferring the nodes with the poor local fitness to another group of networks to generate new solutions, comparing global fitness values of the new solutions and the current solutions, reserving the best solutions in the new solutions and the current solutions, enabling the new solutions to serve as initial solutions for the next iteration to repeat above optimization processes until preset end conditions are met, and finally, analyzing and outputting community self-organizing detection results which are used for power network fault diagnosis. Compared with conventional methods, the method has the advantages of being a few in adjusting parameter, simple in detection process, easy to implement and high in detection efficiency and detection precision.
Owner:GUANGDONG ZHICHENG CHAMPION GROUP
Method of producing a heterostructure with local adaptation of the thermal expansion coefficient
ActiveUS8754505B2Reduce strain and deformationImprove matchSemiconductor/solid-state device detailsSolid-state devicesThermal expansionMaterials science
A method of producing a heterostructure by bonding at least one first substrate having a first thermal expansion coefficient onto a second substrate having a second thermal expansion coefficient, with the first thermal expansion coefficient being different from the second thermal expansion coefficient. Prior to bonding, trenches are formed in one of the two substrates from the bonding surface of the substrate. The trenches are filled with a material having a third thermal expansion coefficient lying between the first and second thermal expansion coefficients.
Owner:SOITEC SA
System and method for automated hairstyle processing and hair cutting device
ActiveUS20190047162A1Facilitate communicationGood lookingCurling devicesMetal working apparatusBody shapeHead shape
The present disclosure relates to an automated hairstyle processing method, an an automated hairstyle processing system, and an automated hair cutting device, the system (10) comprising a memory unit (48) arranged to store a predefined hairstyle model (90) including hair property representing values and body shape representing values, particularly head shape representing values, a sampling unit (76) arranged to sample an actual body shape portion, particularly an actual head shape, of a to be treated subject (12), involving detecting deviations from a model body shape portion of the predefined hairstyle model, a processing unit (42) arranged to adapt a hair property model (94) of the predefined hairstyle model, in case deviations between the actual body shape and the model body shape portion are detected, so as to compensate the actual body shape deviations, the adaptions to the hair property model (94) being local adaptations.
Owner:KONINKLJIJKE PHILIPS NV
Method and device for single sample face identification based on local convolution feature combination representation
InactiveCN107330382AReduce time consumptionImprove efficiencyCharacter and pattern recognitionPattern recognitionSingle sample
Owner:SHENZHEN UNIV
Forest tree microscopic carbon sink metering assimilation box parameter measuring instrument
The invention discloses a forest tree microscopic carbon sink metering assimilation box parameter measuring instrument. The measuring instrument is divided into two parts, namely, a host part and a slave part; the host part mainly comprises a power supply module, a single-chip microcomputer processing module, a TFT touch screen display module, a communication interface module and so on; the slave part includes a power supply module, a single-chip microcomputer processing module, a communication interface module, a tree diameter growth measurement module, a temperature and humidity measurement interface module, an illumination intensity measurement module, a CO2 concentration measurement interface module, a data storage module and so on. With the forest tree microscopic carbon sink metering assimilation box parameter measuring instrument of the invention adopted, multi-parameter measurement can be realized. The forest tree microscopic carbon sink metering assimilation box parameter measuring instrument has the advantages of high automation degree, high local adaptation, convenience in measuring place replacement and the like.
Owner:CHINA JILIANG UNIV
Information acquisition system and method enabling field detection equipment to be flexibly connected
ActiveCN109814501ARealize dynamic accessPrevent leakageTotal factory controlProgramme total factory controlData acquisitionThe Internet
The embodiment of the invention provides an information acquisition system and method enabling field detection equipment to be flexibly connected. When the detection equipment is connected to data acquisition management equipment, self-described data packets are sent, automatic adaptation is carried out after the detection equipment is connected to the data acquisition management equipment, and itis achieved that the detection equipment with different varieties is dynamically connected to the same data acquisition management equipment. Secret data transmission is carried out without the Internet processing technology, the functions such as local registration, local adaptation and local analysis under the local area data transmission network condition are achieved, secret data informationleakage caused by universal means such as network side adaptation and network data processing is avoided, the actual problems such as corresponding equipment adaptation and data access can be solved in field detection of the portable heavy metal detection equipment, and a series of operations such as local registration, adaptation and data frame analysis of the detection equipment are completed under the condition that the Internet is not available.
Owner:BEIJING RES CENT FOR INFORMATION TECH & AGRI
Method for estimating successive difference evolution of medium quality factor
Owner:XI AN JIAOTONG UNIV
Method for controlling optimization through self-organized extremum optimization process
InactiveCN104361204ASolve the problem that the entire solution space cannot be searchedSpecial data processing applicationsControl objectiveExtremal optimization
A method for controlling optimization through self-organized extremum optimization process is used for solving continuous function optimization through the self-organized extremum optimization process, and the solved optimum solution is used as control parameters. The self-organized extremum optimization process comprises the following steps: step 1, determining the local fitness function of a continuous function f(x) according to a control objective; step 2, generating the initial solution s of the continuous function f(x) at random and setting the current optimum solution sbest; step 3, working out the local fitness of each individual si (i equals to 1, ..., m) aiming at the current initial solution; step 4, finding out the local fitness with the maximum fitness value; step 5, structurally changing the neighbourhood space N(s) of the individual sj corresponding to the local fitness with the maximum fitness value, selecting a neighbourhood solution s' belonging to N(s), and taking the selected neighbourhood solution as a new solution unconditionally; step 6, substituting the new solution and the current optimum solution sbest into the continuous function respectively so as to judge that whether the formula that f(s') is less than or equal to f(sbest) is workable or not, if the formula that f(s') is less than or equal to f(sbest) is workable, setting the new solution to be the final optimum solution, and if the formula that f(s') is less than or equal to f(sbest) is not workable, returning to step 2.
Owner:SHANGHAI DIANJI UNIV
An Extremum Optimization Method for Solving the Maximum Satisfaction Problem
InactiveCN102289580AGuidingEasy to obtain near optimal solution or even global optimal solutionSpecial data processing applicationsLocal variableExtremal optimization
The invention discloses an extremum optimization method for solving the maximum satisfiability problem. The method defines local fitness and global fitness functions that meet the requirements of the extremum optimization method according to the principle of decomposability and linearity; uses Bose-Einstein probability distribution to construct optimization The initial solution; when selecting poor local variables for mutation, multiple probability distributions such as exponential distribution or mixed distribution are used as the extended evolution probability distribution. Compared with the traditional optimization method, the optimization process of this method is more instructive, and it is easier to obtain a near-optimal solution or even a global optimal solution. Its principle is simple and clear, with fewer adjustment parameters, simple design, and easy implementation.
Owner:WENZHOU UNIVERSITY
A community self-organization detection method for power network fault diagnosis
ActiveCN103390198BFew adjustment parametersSimple designForecastingInformation technology support systemPower gridNetwork model
The invention discloses a community self-organizing detection method for power network fault diagnosis. The method comprises the steps of firstly, collecting network characteristic parameters of power networks, then describing the power networks as weighted network models, constructing local fitness and global fitness functions, starting from grouped solutions of the power networks, which are generated randomly, calculating local fitness of each power node, sequencing the local fitness, selecting the nodes with the poor local fitness according to an expansion evolution probability distribution function, transferring the nodes with the poor local fitness to another group of networks to generate new solutions, comparing global fitness values of the new solutions and the current solutions, reserving the best solutions in the new solutions and the current solutions, enabling the new solutions to serve as initial solutions for the next iteration to repeat above optimization processes until preset end conditions are met, and finally, analyzing and outputting community self-organizing detection results which are used for power network fault diagnosis. Compared with conventional methods, the method has the advantages of being a few in adjusting parameter, simple in detection process, easy to implement and high in detection efficiency and detection precision.
Owner:GUANGDONG ZHICHENG CHAMPION GROUP
High-quality lung magnetic resonance imaging method based on over-complete dictionary and prior knowledge
ActiveCN104825161BIncrease profitHigh resolutionDiagnostic recording/measuringSensorsPresent methodPulse sequence
The invention discloses a high-quality lung magnetic resonance imaging method based on an overcomplete dictionary and prior knowledge. This method first establishes an over-complete dictionary suitable for setting the object and image resolution; pre-imaging the lungs through small-angle excitation; then analyzes the K-space data obtained in the pre-imaging to extract the position of the local large point information; then adaptively generate a large-angle undersampling pulse sequence according to the position information of the local large point; use this pulse sequence to image the lungs again; finally select the previously established over-complete dictionary pair of setting objects and setting image resolution The image is reconstructed. Compared with the prior art, the method can obtain high-quality lung magnetic resonance images with higher resolution and signal-to-noise ratio.
Owner:WUHAN INST OF PHYSICS & MATHEMATICS CHINESE ACADEMY OF SCI
Reduction of implant infection via tunable stimulation of localized adaptive immune response
ActiveUS20180154050A1Reduce infectionReduce bacterial titerSuture equipmentsOrganic active ingredientsImplant InfectionSide effect
Owner:BIOSPHERES
Image processing apparatus and method using forward and inverse local adaptation processing and dynamic range processing
Owner:CANON KK
A Method of Successive Differential Evolution Estimation of Medium Quality Factor
ActiveCN104698495BCalculation speedFast convergenceSeismic signal processingEstimation methodsAlgorithm
Owner:XI AN JIAOTONG UNIV
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