39 results about "Analysis aspect" patented technology

Aspects of the present disclosure relate to threat detection of executable files. A plurality of static data points may be extracted from an executable file without decrypting or unpacking the executable file. The executable file may then be analyzed without decrypting or unpacking the executable file. Analysis of the executable file may comprise applying a classifier to the plurality of extracted static data points. The classifier may be trained from data comprising known malicious executable files, known benign executable files and known unwanted executable files. Based upon analysis of the executable file, a determination can be made as to whether the executable file is harmful.

Aspects of the invention relate to methods and kits for assessing cancer. Some aspects of the invention relate to methods and kits for preparing a sample library for sequencing. Some aspects of the invention relate to methods and kits for allele detection. Some aspects of the invention relate to high efficiency ligation methods and kits. Some aspects of the invention relate to sensitive detection of amplicons.

The invention discloses a determination method of an imaging condition of an agile satellite, comprising the following steps of: predicting and calculating three classic parameters which are MTF (Modulation Transfer Function), element resolution ratio and imaging width and are used for describing basic attributes, thereby determining the weight ratio accounted by all the parameters in an imaging condition determination system and finally determining the imaging condition of the agile satellite. In the determination method, the influence of imaging conditions of an agile satellite camera under various environments and working modes on imaging quality is considered comprehensively, comprehensive determination is carried out, design verification is carried out by utilizing ground simulation, a concise and objective decision-making basis is provided for a satellite user, meanwhile, the digging condition of specific imaging tasks is reflected to the satellite imaging capability. The determination method is the first comprehensive determination method for the imaging condition of the agile satellite in China, and therefore, the blank on the simulation analysis aspect of the satellite imaging condition in China is filled.

The invention proposes a method for predicting the service life of a satellite subsample cadmium-nickel storage battery based on performance degradation, and the method comprises the steps: starting from product failure mechanism analysis, analyzing the correlation of cadmium-nickel storage battery failure and a degradation failure rule; combining with a performance test and performance experiment in a manufacturing process of the cadmium-nickel storage battery; obtaining the complete performance information related with the service life; carrying out the prediction of the service life of the cadmium-nickel storage battery. Therefore, the method provides a complete prediction process of the service life of the battery of this type. Therefore, the invention opens up a new way to the prediction of the service life of the cadmium-nickel storage battery through the performance degradation data, and the method can meet the requirements of in-research and on-orbit service life prediction and analysis of the cadmium-nickel storage battery of a satellite.

The invention belongs to the technical field of software testing. The invention particularly relates to a program path sensitive grey box testing method and device. The method comprises the steps thatin the offline training stage, vulnerability mode learning is conducted on a sample data set through a deep neural network, a classifier of a program execution path is obtained, and a sample data setpackage comprises vulnerability program path sample data and vulnerability-free program path sample data; and in an online test stage, the classifier is integrated into a fuzzy test tool to guide a seed file to perform a selection test, seed input triggering a vulnerability path is preferentially selected to perform the test, endowing the test with a plurality of variation energies to execute corresponding variation times, and performing cyclic execution until interruption. The method fills up the blank of vulnerability path sample influence analysis, does not depend on a complex dynamic analysis technology, does not bring about a large overhead problem, can be effectively combined with other grey box test technologies, improves vulnerability discovery efficiency, can be directly suitablefor a binary program, does not depend on a source code, and is high in applicability.

The invention relates to a canonical correspondence analysis-based soil nitrogen reserve estimation method, and belongs to a pedometrics and spatial analysis-oriented soil nitrogen reserve estimation method. The calculation of soil nitrogen density of a one-meter soil body and the simulation of spatial variation characteristics of the soil nitrogen density under different landscape characteristics are involved; an independent variable can be subjected to effective information preprocessing through multiple dimension reduction technologies; a comprehensive influence variable of nitrogen reserves of different depths is analyzed by using canonical correspondence analysis; and especially in the aspect of analyzing attribute influence factors of soil with different properties and different depths, a comprehensive fitting relationship between multiple soil attributes and typical characteristics of environment variables is established.

The invention relates to a method for evaluating the inheritance effect of SNP (Single Nucleotide Polymorphism) sites to traits. The method comprises the following steps of: (1) obtaining gene fragments related to traits to be analyzed, and determining SNP sites related to the traits and genotypes of the SNP sites; and (2) analyzing the relevance between the SNP sites and the traits, wherein the specific calculation method is as follows: when the number of the SNP sites is one, the relevance between the SNP site and the traits is the direct influence of the SNP site, and when the number of the SNP sites is more than two, the relevance between the i-th SNP site and the traits is the sum of the direct influence and all indirect influence of the i-th SNP site. The method has the advantages that the problem in the prior art that blanks exist in the screening and evaluating of the inheritance effect of the SNP sites to the traits is solved; the method is simple, convenient and feasible, is high in accuracy and high in analyzing speed, so that many complicated tests are not needed; and the method is time-saving and labor-saving.

The invention discloses an analysis method for a vehicle-mounted battery pack pressure difference problem. The method includes firstly, analyzing the battery and finding out a failure module; secondly, testing the static voltage and the internal resistance of the failure module, wherein the failure module is divided into a failure module which is lower than the normal use voltage range but is higher than 0V, a failure module in a normal use voltage range and a failure module close to 0V according to the different static voltages; finally, finding out the failure cell from the failure module, dissembling the failure cell, and analyzing the failure reason and making the improvement. The method has the beneficial effects that starting from the differential pressure large fault module, the failure cell of the failure module can be analyzed through the capacity, direct-current internal resistance, disassembly, self-discharge analysis aspects, and the root cause of the cell failure is foundthrough disassembly of the cell, the cell production is guided to improve the cell quality, and the failure rate of the battery pack pressure difference is fundamentally reduced.

The invention discloses a boiler automatic combustion adjustment control method based on coal-air ratio coal quality correction, and solves the problems of long time, complex structure and high cost in the coal quality analysis aspect and still need of manual intervention in the boiler combustion adjustment in the control technology aspect. Through an angle combustion type boiler standard coal combustion test, ratios of air volumes to coal quantities under the condition of different generating capacities corresponding to different oxygen amounts are obtained; through logical configuration of a distributed control system, the timing detection and the result output of a coal quality correction coefficient K are realized; a general expression of an each-layer feedforward of a boiler auxiliary air door to the value K is calculated by the coal quality correction coefficient K; and the general expression of the each-layer feedforward to the value K calculated in the step 3 is added in a traditional control loop to realize the adjustment of a whole combustion state of secondary air and auxiliary air. The method is applied to the field of coal quality analysis and adjustment.

Aspects of the invention relate to yield analysis techniques for generating root cause candidates for yield analysis. With various implementations of the invention, points of interest are first identified in a layout design. Next, regions of interest are determined for the identified points of interest. Next, one or more properties are extracted from the regions of interest. Based at least on the one or more properties, diagnosis reports of failing devices fabricated according to the layout design are analyzed to identify probable root causes.

The invention provides a method for quickly and efficiently extracting baicalin. The method comprises the following steps: grinding scutellaria baicalensis, and extracting baicalin by ionic liquid, namely a 1-octyl-3-methylimidazole bromide aqueous solution, under the action of microwave enhancement. According to the method, baicalin is extracted by a non-volatile, noncombustible and nonexplosive green solvent, namely the ionic liquid; the extraction process is easy and convenient to operate and easy to perform, the extraction time can be greatly shortened, and the extraction efficiency can be improved. The method has application prospects on the aspects of extraction and analysis of baicalin.

Aspects of the invention relate to yield analysis techniques for generating root cause candidates for yield analysis. With various implementations of the invention, points of interest are first identified in a layout design. Next, regions of interest are determined for the identified points of interest. Next, one or more properties are extracted from the regions of interest. Based at least on the one or more properties, diagnosis reports of failing devices fabricated according to the layout design are analyzed to identify probable root causes.

The invention provides a painting rendering method based on stroke texture analysis. In the invention, real stroke textures of different styles are analyzed and molded, and corresponding rendering techniques are designed, which enables a rendering system to support a greater variety of drawings. In terms of stroke texture analysis, different stroke texture styles can be correctly described and identified by making a behavioral analysis on the first two modes obtained by bidimensional empirical mode decomposition (BEMD). During the rendering process, expressive ability of traditional rendering methods is extended, and corresponding modules are designed to express stroke texture styles, which enables the rendering system to support a greater variety of drawings.

The invention provides a power grid organization analysis system based on a level framework and an analysis method. The system comprises a network server platform and an analysis module and a gathering module which are established on the platform, wherein the modules are connected through a double-channel wireless communication unit, data documents of the network server platform are defined by utilizing the XML language, the analysis module comprises an information body definition unit and computer nodes connected with each level of power grid management center, and the gathering module comprises an encryption memory realizing external connection through a network port. According to the system, from the analysis aspect of the level framework, the informatization model of the management level framework is established, standards and technologies for access of present information systems and pre-development information systems to the level framework are designed, so each level of the management framework is made to communicate with the grid power information resources face to face, integration is carried out through self improvement and utilizing relatively stable data expression and communication standards, and thereby comprehensive services are provided for each management level in the whole framework.

The invention discloses a network intrusion detection method for large flow and protocol analysis. According to the protocol analysis aspect, an IP, a port and a message of a flow data package in different network structures of a network layer, a transmission layer and an application layer are respectively detected, thereby accelerating the data processing flow, simplifying the unnecessary data processing, optimizing the processing time, and improving the processing efficiency; therefore, the method is suitable for large-flow network intrusion detection. in the aspect of feature matching, partof protocols with clear feature information can use the AC automaton in a targeted manner; if there is no protocol with clear feature information, feature matching of the traffic data payload is realized through a Hyperscan feature library; different analysis methods are used for different protocols, matching hit is effectively accelerated, and resource loss is reduced.

The invention discloses a method for analyzing validity of degradation data on the basis of failure physics. The method comprises steps as follows: 1, a thermo-oxidative aging test is performed on nitrile rubber; 2, a compressive stress relaxation test and a Fourier transform infrared spectrum test are performed on an aged sample; 3, infrared spectrum and compressive stress relaxation test results of the aged sample are analyzed; 4, inspection is performed with a method based on data consistency. By means of the steps, whether a failure mechanism of the sample in the aging accelerating process changes is judged through analysis of related experimental data of the infrared spectrum test performed on the accelerated aging nitrile rubber sample, so that whether experimental data in the compressive stress relaxation test are valid is determined; invalid data are eliminated, and the fitting degree of valid data reaches 0.99 through data fitting and is far higher than original 0.93. By means of the method, the blank about analysis of validity of the degradation data of the nitrile rubber before is filled up, and the method has great significance for accuracy and precision of follow-up life prediction.

Aspects of the invention provide a solution for analyzing an object, such as a part of a turbo machine. A planar surface is generated using a curved reformat function based on a surface of a three-dimensional (3D) image of an object. A peel of the 3D image that is adjacent to the surface is determined. Based on the peel, a second planar surface is generated. These two, and / or other similarly generated planar surfaces can be analyzed to determine characteristics of the original object.

The invention provides a method for synthesizing an aza-aryl-phenolic-ketone compound. The method includes the steps that under the oxygen atmosphere or the nitrogen atmosphere or the air atmosphere, an iodine compound is used as a unique catalyst or a unique acid reagent or a unique cooperative oxidant or a unique reactive solvent, and the aza-aryl-phenolic-ketone compound is directly synthesized through a methyl-substituted aza-aromatic compound and a phenolic compound. According to the method, metal catalysts do not need to be led in, and ligand and special reaction conditions such as microwave radiation are not required. Substrates are low in cost and easy to obtain, and largely exist in the nature, pre-functionalization is avoided, adaptability is high, and experiment operation is simple. Meanwhile, the method has good chemoselectivity and good regioselectivity, and acylation of the phenolic compound can be efficiently achieved. The target compound has the potential application prospects in the medicine aspect and particularly has the potential application prospects in the anticancer-substance design, research, development and application aspects, the fluorescence detection and tracking analysis aspect and the like.

The invention provides a disposable anorectum surgical stapler. The disposable anorectum surgical stapler comprises a nail abutting base, a transmission rod, an osculating assembly, a locking sleeve, a handle base and a movable handle. The transmission rod is arranged in the handle base, the locking sleeve and the osculating assembly are sequentially arranged in the direction of the transmission rod, and the nail abutting base is arranged at the end of the transmission rod; medicine-discharging micro holes and sampling holes are formed in the outer surface of the osculating assembly; a medicine adding device comprises a medicine adding pipe, medicine feeding pipes communicated with the medicine-discharging micro holes and a medicine adding cabin arranged in the handle base; the medicine feeding pipes are communicated with the medicine adding cabin through the medicine adding pipe; the sampling device comprises a sample feeding pipe, sampling pipes communicated with the sampling holes and a sampling storage cavity formed in the handle base, and the sampling pipes are connected with the sampling storage cavity through the sample feeding pipe. The disposable anorectum surgical stapler is reasonable in structural design, simple and light and convenient in structure and convenient to operate; when an anorectal operation is carried out, medicine can be conveniently added, the operation effect is improved, sampling can be carried out in the operation in time, and therefore the quite-large convenience can be provided in the later pathological analysis aspect.

Aspects of the present disclosure include methods of producing modified polypeptides and modified polypeptide-ribosome or polypeptide-mRNA complexes, and methods of screening polynucleotide and polypeptide libraries. The present disclosure also provides polypeptide libraries useful in screening for single molecule phenotypes. Also provided are kits useful for producing polypeptides capable of being modified using methods disclosed herein.

Aspects of the invention relate to techniques for determining the electromigration features corresponding to layout design data. According to various examples of the invention, a circuit design is analyzed to determine voltages of nodes in an interconnect tree. From the voltages of the nodes, current density values and current directions for the segments of the interconnect tree are determined. Based on the current density values and the current directions, hydrostatic stress values for the nodes are computed under a steady-state condition and conservation of the conductive material within the interconnect tree. The electromigration susceptibility of the interconnect tree is then determined based on the computed hydrostatic stress values.

The invention relates to a multifunctional health index detection cloud system. The system comprises a portable multi-health index collector, a WeChat applet client and a big data processing background. The invention further provides a multifunctional health index detection method. According to the invention, the overall efficiency of the algorithm can be effectively improved, and the health dataprocessing efficiency is improved, so that the final data error is reduced to the maximum extent so as to improve the precision of the health result; data display is carried out based on the network,and the equipment is small in size and easy to carry, so that people can conveniently master their health conditions in time; and in the aspect of big data macroscopic analysis, the system is helpfulfor a medical service institution to master the overall health condition of the public, and is helpful for setting and developing epidemic prevention and control work measures.

Aspects of the present disclosure include sample analysis methods and systems. According to certain embodiments, provided are methods of analyzing samples in an automated sample analysis system. The methods include introducing samples and sample preparation cartridges into the system, isolating and purifying an analyte (e.g., nucleic acids and / or proteins) present in the samples at a sample preparation station, and performing analyte detection assays in assay mixtures that include the purified analyte. Also provided are automated sample analysis systems that find use, e.g., in performing the methods of the present disclosure. In certain aspects, the methods and systems provide for continuous operator access during replenishment or removal of one or any combination of samples, bulk fluids,reagents, commodities, waste, and / or the like.

Aspects of the invention relate to techniques for determining the electromigration features corresponding to layout design data. According to various examples of the invention, a circuit design is analyzed to determine voltages of nodes in an interconnect tree. From the voltages of the nodes, current density values and current directions for the segments of the interconnect tree are determined. Based on the current density values and the current directions, hydrostatic stress values for the nodes are computed under a steady-state condition and conservation of the conductive material within the interconnect tree. The electromigration susceptibility of the interconnect tree is then determined based on the computed hydrostatic stress values.

The invention provides a method and system for bidirectional histogram equalization processing of infrared images, which forms a histogram by processing the input infrared image, and then calculates the high and low boundaries, and calculates the gray center of gravity of the image through the preset platform value and the high and low boundaries position, and then equalize the dark part and bright part divided by the center of gravity position respectively. In this way, the calculation method is more adaptable and has obvious advantages in processing images with large background and small target details, effectively reducing the amount of data calculation and design At the same time, from the analysis of the center of gravity of the image obtained from the technical solution of the present invention, the details of the target in the bright part of the infrared image will be more obvious, which is more in line with the observation habits of the human eye, and compared with the histogram balance of the existing platform, this The target details of the bright part processed by the technical solution of the invention will not be too exaggerated, which is conducive to the embodiment of other details in the dark part of the infrared image.

The invention discloses a method for evaluating the value and price of a patent. The method specifically comprises the following steps: acquiring related information of an evaluated patent; carrying out patent information preprocessing; deeply analyzing the patent; determining the grade of the patent; analyzing values according to grades; carrying out patent value evaluation; and carrying out patent price evaluation. According to th emethod for evaluating the value and price of a patent, after the patent is graded, the patent is evaluated according to the grade of the patent according to the result of patent value analysis, so that the patent value can be used as an evaluation basis according to each analysis aspect during grade analysis in the actual evaluation process; the patent value is evaluated through the value evaluation factors in different aspects, the phenomenon that patent value evaluation is inaccurate due to a single evaluation mode is avoided, and meanwhile, through the value evaluation factors in multiple aspects and multiple dimensions, the patent can have more detailed value classification in the actual value evaluation process.

The invention discloses a video content validity visual analysis method and system based on multi-modal emotion. The method comprises the following steps: collecting a specific type of video and a label of a validity objective index thereof; extracting sentiment data of various modes in the video; on the basis of the extracted emotion data, determining effectiveness factors in combination with actual requirements of the field, and obtaining numerical values of different effectiveness factors through calculation; analyzing the correlation between the effectiveness factor and the effectiveness objective index to obtain a correlation result of the effectiveness factor; and displaying correlation results of the extracted emotion data and the validity factors in different visual forms, so that a user can perform multi-level exploration from the whole to the local by taking the emotion as a principal line. The video content effectiveness is analyzed by means of a visualization method, the method has the advantages in the aspects of quantifying video content effectiveness factors and achieving objective analysis, and an analysis result with visual impact can be provided for a user in a visual and effective mode.

According to three common requirements of artificial telephone traffic, IVR navigation, intelligent process response and knowledge base question and answer consultation, a built-in solution is provided from two aspects of configuration and analysis. In the aspect of configuration, a visual page is provided and configured, and multi-level IVR navigation is configured by providing a navigation hierarchical configuration page and configuring different navigation types and navigation contents for keys 0-9; configuring an intelligent customer service response flow chart by dragging different types of nodes; and a knowledge base is generated by uploading a question and answer knowledge base file of the template and training. In the analysis aspect, a conversation control process and intention recognition conversation management algorithm module is provided, and conversation analysis and conversation control processes of different node types are standardized, so that a process response customer service and IVR navigation module takes effect; analytic training of standard questions and answers is achieved through a basic algorithm model, a preset knowledge base circulation flow chart is executed in a call, intention recognition is conducted through a similarity algorithm, and question and answer consultation in a knowledge base is achieved.

The invention provides an aspect-level sentiment analysis method and device and a computer readable storage medium, and the method comprises the steps: providing a target text to an input layer of a convolutional neural network, and obtaining a corresponding input feature matrix; providing the input feature matrix to a first convolutional layer to obtain a corresponding first feature map, and processing the first feature map by using a first activation function to obtain a first feature vector, wherein the first feature map reflects emotional feature information of the target text; processing the first feature map according to the aspect feature information of the aspect to be analyzed to obtain a second feature map, and processing the second feature map by adopting a second activation function to obtain a second feature vector, wherein the second feature map reflects association information of the target text and the aspect to be analyzed; and judging the emotional polarity of the target text corresponding to the to-be-analyzed aspect according to the first feature vector and the second feature vector. The method enables the model to be simple in structure and low in operand.

The invention belongs to a smoke-related prediction method, and provides a consignment smoke-related prediction method, a computer readable storage medium and equipment in order to solve the technical problems that an existing crime prediction method is not suitable for consignment smoke-related big data analysis and has defects in the aspects of feature calculation and big data feature analysis. Big data and an artificial intelligence technology are used in posting tobacco crime analysis, a new concept of a posting spatio-temporal mode is provided, spatio-temporal characteristics of posting big data are calculated according to the new concept, a posting network is described by using a weighted directed graph, network topology characteristics of the posting network are calculated, a posting relationship is described according to the network topology characteristics, a feature selection method is used, and the posting tobacco crime analysis is realized. According to the method, the optimal characteristics are selected, and a posting smoke-related prediction model is constructed by combining optimal characteristic calculation and a classifier method, so that a result is obtained in the aspect of studying and judging the precision of unknown posting data, and the feasibility and effectiveness of the prediction method are proved.