86 results about "Local method" patented technology

A stereo matching system and a stereo matching method using the same. Here, a Sum of Edge Differences (SED) method as a disparity estimation method utilizing edge information is added to a disparity estimation method utilizing a local method to perform stereo matching. As such, it is possible to correct false matching in a non-texture region generated when stereo matching is performed using only a local method, thereby enabling good stereo matching.

A method determines a global optimal solution of a system defined by a plurality of nonlinear equations by applying a metaheuristic method to cluster a plurality of search instances into at least one group, selecting a center point and a plurality of top points from the search instances in each group and applying a local method, starting from the center point and top points for each group, to find a local optimal solution for each group in a tier-by-tier manner. Then a TRUST-TECH methodology is applied to each local optimal solution to find a set of tier-1 local optimal solutions, and the TRUST-TECH methodology is applied to each tier-1 local optimal solution to find a set of tier-2 local optimal solutions. A best solution is identified among all the local optimal solutions as the global optimal solution. The heuristic method can be a particle swarm optimization method or a genetic algorithm method.

The invention discloses a three-dimensional geological modeling method and device, relates to the field of geological modeling, overcomes primary shortcomings of an existing integral approach, combines advantages of a local method and can quickly establish a multilayer complex geological body through the utilization of geological original data. The three-dimensional geological modeling method mainly comprises obtaining fault control data from collected geological data, utilizing a stratum inversion method to fit a fault surface, setting fault lofting parameters for the fault surface, and establishing a planar three-dimensional fault; utilizing the stratum inversion method to establish three-dimensional geological body blocks containing different strata, and performing overall surface fitting operation on the post-inversion three-dimensional geological body blocks to obtain a three-dimensional geological body; performing stratum forward modeling on the established three-dimensional geological body by utilizing the fault control data and the planar three-dimensional fault and dividing the three-dimensional geological body into different three-dimensional geological body blocks; assembling the divided three-dimensional geological body blocks to form an integrated fault-contained three-dimensional geological body. The three-dimensional geological modeling method and device is mainly applicable to three-dimensional modeling of fault display.

The invention discloses a TRMM (Tropical Rainfall Measuring Mission) satellite rainfall product downscaling method based on M5-Local and a multi-environmental factor variable. An M5-Local regression thought is adopted, and a plurality of environment stress factors with high spatial resolutions are fully utilized to improve the spatial resolution of the product. Firstly, 1km environmental variable factors, such as eight pieces of data including a vegetation index, a digital elevation model, a daytime surface temperature, a night surface temperature, a terrain moisture index, a gradient, a slope aspect and a slope length gradient, are subjected to aggregate calculating to obtain 25km which serves as an independent variable, corresponding 25km-resolution TRMM data is used as a dependent variable, an M5-Local method is adopted for modeling, the intercept of a regression modeling equation of 1km spatial resolution and a slope parameter corresponding to each environment factor variable are predicted, and a 1kmTRMM rainfall value is calculated. A downscaling result based on an M5-Local model is obviously superior to a downscaling result of a conventional regression model.

The invention discloses a high dynamic range image tone mapping method based on a retina adaptive model, which belongs to the field of digital image processing. The method comprises the following steps: (1) inputting a high dynamic range image; (2) acquiring the logarithm domain luminance L(p) of each pixel p in the image; (3) carrying out two-sided filtering on the logarithm domain luminance L(p) of each pixel p by using a two-sided filter, thereby obtaining the adaptive factor Aopl(p); (4) obtaining the luminance Lram(p) after carrying out nonlinear mapping on the logarithm domain luminance L(p) of each pixel p; (5) obtaining a red channel value I'(pR), a green channel value I'(pG) and a blue channel value I'(pB) after respectively carrying out nonlinear mapping on each pixel p in a red channel R, a green channel G and a blue channel B; and (6) constructing a new image file by using I'(pR), I'(pG) and I'(pB), thereby realizing the tone mapping of the high dynamic range image. The method simultaneously has the advantage of high speed in the global approach and the advantage of high capability of reserving image details in the partial approach.

Methods for Markov boundary discovery are important recent developments in pattern recognition and applied statistics, primarily because they offer a principled solution to the variable/feature selection problem and give insight about local causal structure. Currently there exist two major local method families for identification of Markov boundaries from data: methods that directly implement the definition of the Markov boundary and newer compositional Markov boundary methods that are more sample efficient and thus often more accurate in practical applications. However, in the datasets with hidden (i.e., unmeasured or unobserved) variables compositional Markov boundary methods may miss some Markov boundary members. The present invention circumvents this limitation of the compositional Markov boundary methods and proposes a new method that can discover Markov boundaries from the datasets with hidden variables and do so in a much more sample efficient manner than methods that directly implement the definition of the Markov boundary. In general, the inventive method transforms a dataset with many variables into a minimal reduced dataset where all variables are needed for optimal prediction of some response variable. The power of the invention was empirically demonstrated with data generated by Bayesian networks and with 13 real datasets from a diversity of application domains.

The invention discloses a movable terminal, system, network entity and method to realize the content filtration, the method includes: the communication system networks which exist in the CBCS sever corresponding to the CBCS client, the CBCS client blocks or receive the received content or/and the content characteristic information, which is taken by the processing requirement of content, and be sent to the CBCS sever, the CBCS sever process and scans the received content or/and the content characteristic information which is taken by the processing requirement of content, the processing result is transmitted to the application module of movable terminal by the CBCS client. The movable terminal, system, network entity and method provided by the invention can realize the scan and content filtration for the received content or/and content characteristic information by local method.

A method, system, and computer program product for the creation and logging of a taskID is provided. In one embodiment, a component initiates a task and requests a task identification (TaskID) from a log task manager. The taskID follows this task (which may flow across multiple components or ORBs) until completion. The TaskID is passed in the thread context in local methods and in the message context in remote method invocations. The taskID is then logged with message and trace data from each of the components through which the task flows that generate a trace or message log.

The invention discloses a software security protection method. The method includes the steps of searching for all export functions in dynamic link library files in software and establishing a table of export functions; checking whether names of the corresponding called export functions exist in the table of export functions or not; if yes, storing related parameters of a local method into the table of export functions; if not calling the local method, actuating a replacement step; adapting, namely generating dispatch code snippets and replacing codes, which call the local method, in executable files; and replacing, namely generating a unified export function and replacing the names of all export functions with the name of the unified export function, wherein the unified export function is used for jumping to an original export function. By the software security protection method and system, only the unified export function is exposed from an interface of the software, and the software is more difficult to decompile and debug and is safer.

A regional alarm method includes reading coverage scope information, reading out local current position altitude and longitude based on received GPS signal, sending out alarm order if those received information belong to the coverage scope, and sending out alarm signal to customer based on said alarm order. It can send out alarm signal to customers when they reach the alarm area, reminding customer to increase their awareness of safety.

Provided are a method, system, and program for processing a call. A call is invoked from a caller object to a target object, wherein the caller and target objects comprise component objects loaded with caller and target class loaders, respectively, and wherein the caller object invokes the call using a local method invocation. The classes needed to process the call are loaded if the needed classes are not already loaded and if the target class loader is capable of loading the needed classes. Further classes that comprise the needed classes are dynamically loaded if the target class loader is not capable of loading the needed classes. The call is invoked after the needed classes are loaded and available for the target object to process the call.

The invention relates to a technology for preventing and curing soft rot of konjak through self-made extraction of plant bactericide, and belongs to the field of plant disease prevention through the local pesticide extracting method. The extracting method is simple, feasible, convenient to use, and is suitable for being popularized and applied by the mass konjak growers as site preparation can be performed at any time. The environment-friendly plant bactericide has better soft rot prevention effect than chemical agents, and has the disease prevention effect reaching 86.3%, and during the growth of konjak, farmers only need to mix allicin extracted through the local method, 97% berberine extracted through the industrial method, honeysuckle leach liquor and isatis root leach liquor as per a certain proportion and according to own needs, so that continuous spreading of soft rot of field konjak can be effectively controlled, and the production can be remarkably guaranteed.

The invention discloses a fast stereo matching method based on color partitioning and self-adaptive window, comprising the following steps of: (1) constructing a matching cost based on color partitioning; (2) constructing a matching cost based on self-adaptive window; (3) constructing a combined matching cost based on the color partitioning and the self-adaptive window; and (4) optimizing the combined matching cost by adopting a local optimization method in order to obtain a dense disparity map. The method of the invention not only can improve the matching precision of parallax discontinuous areas and low veins areas, but also obtains the parallax which is comparable with that of current dominant algorithms. In addition, the processing time of the disclosed method is enhanced by about 19 to 35 times compared with the current excellent local methods, and both the matching speed and the matching precision are taken into consideration.

The invention discloses a hyperspectral anomaly detection method and system based on a manifold constraint self-coding network, for solving the problem of low sample recognition rate. The hyperspectral anomaly detection method comprises the following implementation steps: (1) learning low-dimensional embedding manifold by adopting a manifold learning algorithm; (2) extracting hidden layer expression characteristics through a low-dimensional embedded manifold constrained self-coding network; (3) obtaining a global reconstruction error by using a low-dimensional embedded manifold constrained self-coding network; (4) calculating a local reconstruction error on the low-dimensional embedded manifold; (5) combining the global reconstruction error and the local reconstruction error to carry out abnormal target detection; and (6) counting experiment results, and calculating the precision of hyperspectral anomaly detection. According to the hyperspectral anomaly detection method, when the depthfeature of the hyperspectral image is extracted by using the self-coding network, the local feature of the image is considered; and the advantages of a global method and a local method are integrated, and a global reconstruction error and a local reconstruction error are considered at the same time during abnormity judgment, so that the abnormity detection precision is improved.

Provided is a computer implemented method, system, and program for implementing for implementing a remote method call. Remote objects and at least one proxy object are generated, where each proxy object corresponds to one remote object. Data from the remote object is included into the proxy object. A call to a method on one proxy object is processed and the method is executed. The method is one of a plurality of methods, wherein at least one of the plurality of methods comprises a local method including code to perform method operations on the proxy object without going to the remote object and at least one other of the plurality of methods comprises a remote method including code to perform method operations on the remote object.

The invention relates to a local community detection method based on similarity, namely an-NSA (Node Similarity based Algorithm). The method is an efficient and stable local community detection methodbased on similarity, and the implementation process of the method comprises two stages, namely, the first stage of constructing an initial community structure of a network, the second stage of optimizing the initial community structure, and merging some small and sparse communities to obtain a final community structure. The method can solve the problem that a global method cannot be suitable fora large-scale network due to low efficiency, and can solve the problems that many existing local methods are unstable in performance and poor in detection result quality. Meanwhile, the invention further provides a measurement index-common metric, the scale and the sparse degree of the communities are comprehensively measured, and the small communities can be effectively merged.

The invention discloses a method for protecting.NET software security. The method comprises the following steps of: searching: searching for all derivative functions from a dynamic link library of software and establishing a derivative function table; checking: checking whether names for calling the derivative functions are in the derivative function table or not; if so, storing the associated parameters in a local method in the derivative function table; if the local method is not called, executing a replacing step; rewriting: generating a dispatch code fragment to replace a code for calling the local method in an executable file; and replacing: generating uniform derivative functions and replacing names of the derivative functions by those of uniform derivative functions, wherein the uniform derivative functions are used for skipping to the original derivative functions. According to the method and the system, the interface of the software is exposed just by the uniform derivative functions, so that the decompilation and debugging difficulty of the software is improved, and the software security is enhanced.

The invention discloses a method for carrying out in-vitro efficient amplification on natural killer (NK) cells, and application of the method, aiming at solving the problems that the NK cells amplified by the traditional local method are small in amplification times, have cytokine dependency and cell aging, and the like. The method is characterized by comprising the following steps: 1, separating peripheral blood mononuclear cells (PBMCs) from human peripheral blood by using the traditional Ficoll-Paque density gradient centrifugation method; 2, carrying out 100 Grays irradiation treatment on artificial antigen presenting cells, and then storing by means of liquid nitrogen cryopreservation; 3, carrying out co-culture on the PBMCs and the artificial antigen presenting cells, subjected to the irradiation treatment, in a cell culture flask T75 of an RPMI 1640 medium, wherein the mass ratio of the PBMCs to the artificial antigen presenting cells is equal to 1: 2, and 50IU/mL of interleukin 2 is added into the RPMI 1640 medium; replacing the medium with a fresh medium every 2 to 3 days; 4, calculating the number of total cells in the cell culture flask T75 every 7 days, adding the same number of artificial antigen presenting cells subjected to the irradiation treatment into the cell culture flask T75 for stimulating again, and continuously culturing for 21 days to obtain the amplified NK cells. Therefore, after the method is adopted, a great deal of high-purity and high-quality NK cells can be obtained.

The invention relates to a fine prospecting method for a slope zone of a sag rich in oil and gas, and belongs to the technical field of oil and natural gas prospecting. The method comprises the steps of 1) basic geological reconstruction and quantitative characterization of a sag rich in oil and gas, and slope unit division; 2) internal fine division of the slope zone; and 3) fine evaluation of the slope zone under a high-resolution sequence framework, extraction of the "oil source fault + lithologic trap joint reservoir control + favorable sand body" from the three key elements of the oil and gas source, migration pathway and sedimentary facies, and comprehensive identification of enrichment high-yielding areas. The method of the invention adopts a global to local method to gradually refine the research target, has the characteristics of comprehensive considerations and easy standardization of operation procedures, can effectively identify high-efficiency reserve areas, and provides technical support for oil and gas exploration and development.

The invention provides an ID management method and apparatus. The method is applied to a terminal side, and comprises the steps of according to an ID obtaining request of a service data table, determining a corresponding local ID buffer pool queue, wherein the ID obtaining request of the service data table carries a service data table identifier; and if an available ID pool exists in the local IDbuffer pool queue, returning an ID in the available ID pool to a corresponding service data table according to the service data table identifier. According to the ID management method provided by theinvention, at the reception of the ID obtaining request, the terminal side does not need to send the ID obtaining request to a server side, and an ID can be obtained by directly invoking a local method; and therefore, the working efficiency is high, and the time consumption is little.

The invention relates to an image fusion method based on a non-local sparse K-SVD algorithm. The sparse K-SVD algorithm is the dictionary generation algorithm which is presented by Ron Rubinstein and used for image de-noising. A training sample generation process based on image non-local self-similarity is capable of effectively improving the dictionary performance. The image fusion method based on the non-local sparse K-SVD algorithm uses the dictionary which is generated based on the non-local sparse K-SVD algorithm for the image fusion method based on SOMP algorithm so as to generate a better fusion effect. The image fusion method based on the non-local sparse K-SVD algorithm has beneficial effects that the image is fused on a pixel level according to the signal sparse decomposition idea, the dictionary generated based on the sparse K-SVD algorithm effectively combines the analytic dictionary structure and learning dictionary adaptability to improve the signal presentation skill of the dictionary, and meanwhile, the sample selection based on the non-local method improves the dictionary performance, and the image fusion effect is improved.

The invention provides a script language interface processing method, a script language interface processing device and script language interface processing equipment. The method comprises the steps of registering a local method to obtain a local method library, wherein the local method library includes the local method and a registration function; loading the local method library by use of the registration function; and realizing calling of a script language program for the local method through a first function, wherein the first function is a function of calling the local method provided bya script language interface for the script language program. According to the implemented script language interface, a mutual calling interface between the script language program and a local programis actually abstracted, the abstraction of the calling interface enables the local program not to concern the change of a virtual machine of the script language and a version thereof, thus the workload of developers is reduced and the productivity of the developers is greatly improved.

Provided is an optical flow field segmentation method based on partitioned homodromous speed accumulation The method comprises the following steps: firstly, calculating optical flow through a local method by the moving target detecting method for the optical flow field segmentation based on the partitioned homodromous speed accumulation, assuming the optical flow field remains constant in a relatively small local image region to obtain an overdetermined equation, and solving the overdetermined equation by using a data fitting method to obtain a optical flow solution; secondly dividing an image into n*n small squares based on the size of a moving target after the optical flow field of the image is obtained, and selecting n according to the need, n is generally picked ranging from 8 to 12; thirdly, dividing the 0-360 degree direction into m grades, in another word, each grade contains 360/m degrees; dividing the speed direction into m grades, m is picked ranging from 80 to 100; counting the cumulative sum of velocity amplitude of all speed directions of all squares. By means of the moving target detecting method, the moving target can be precisely segmented despite an object being motionless or moving.

An embodiment of the invention provides a hotspot method recognition method and device. The method includes: receiving a judgment request which includes identification information of a to-be-recognized method; acquiring static characteristics and dynamic characteristics of the to-be-recognized method on the basis of the identification information; judging whether the to-be-recognized method is a suspected hotspot method or not according to the static characteristics and the dynamic characteristics; if the to-be-recognized method is the suspected hotspot method, adding the to-be-recognized method into a compiling queue. By application of the embodiment, the suspected hotspot method can be added into the compiling queue, and accordingly hotspot method recognition delay is reduced, compilingof the hotspot method can be completed earlier, and a system is enabled to execute a faster post-translational local method earlier, so that running speed of the system is increased.

The invention relates to a java-based cross-platform extensible RPC (Remote Procedure Call) framework design method, which comprises the following steps of: developing a server by java, defining an agent interface class and an entity class, inheriting and realizing the agent interface class by a Controller class, and starting an RPC Server to finish RPC service release; developing a client, and calling an RPC method to be consistent with a local method by starting an RPC Client to be in butt joint with the server; the RPC Server adopts a Netty as a communication framework, starts a TCP (Transmission Control Protocol) service, loads a registered RPC interface class and a registered RPC implementation class at the same time, and registers the RPC Server to a service discovery center; and theRPC Client adopts Netty as a communication framework, loads the registered RPC proxy interface class, is connected with the service discovery center, acquires a subscribed service list and performs connection. According to the invention, the fundamental problem of interconnection among multiple applications can be solved, so that a framework foundation is realized for constructing a target of a distributed service calling network.