31 results about "Group differences" patented technology

A regression testing system comprises an automatic test tool configured to capture a first web screen shot and a second web screen shot of a webpage, where the webpage has undergone an update or edit. The regression testing system also comprises a visual comparator configured to identify similar areas in the first web screen shot and the second web screen shot. The visual comparator receives, and compares characteristics of, the web screen shots. Furthermore, the regression testing system generates a report with marked different characteristics between the first and second web screen shots. The regression testing system identifies similar areas in the first and second web screen shots shot even if the similar areas are at different locations within the web screen shots. The comparison performed by the visual comparator includes performing a pixel comparison combined with a marking algorithm to group differences in smaller, related but separate areas.

The invention discloses a sensor target assignment method for a multi-objective optimization differential evolution algorithm. The method includes the steps that objective importance degree calculation is carried out according to objective information, a sensor target assignment constraint multi-objective optimization function is built, distribution scheme codes and initial population chromosomes are generated, offspring scheme populations are generated through the differential evolution algorithm, population combination and screening are carried out, and a distribution scheme Pareto front-end solution set is obtained. The method is combined with the differential evolution algorithm, is easy to use in terms of population difference heuristic random search, is good in robustness and has the advantages of being high in global search ability and the like. A Pareto set multi-objective optimization assignment strategy is provided. A sensor utilization rate function is added on the basis of a sensor target monitoring efficiency function, an assignment problem is converted into a multi-objective optimization problem, sensor resources can be saved as much as possible on the condition that monitoring precision requirements are met, and reasonable and effective assignment of the sensor resources is achieved.

The invention discloses an inertial navigation assisted Big Dipper single-frequency whole-cycle ambiguity calculation method under the short baseline condition. The inertial navigation assisted Big Dipper single-frequency whole-cycle ambiguity calculation method comprises three steps of firstly conducting grouping difference on Big Dipper observed quantity according to the height of a Big Dipper constellation type orbit, wherein atmosphere delay errors of the Big Dipper observed quantity under the short baseline condition can be effectively eliminated; secondly, utilizing an inertial navigation output attitude matrix to estimate a baseline vector and substituting a baseline vector into a Big Dipper double-difference carrier wave observation equation, utilizing a recursive least-squares method to calculate whole-cycle ambiguity floating point solution and a covariance matrix of the floating point solution, then adopting an improved least-squares ambiguity de-correlation method to fix a whole-cycle ambiguity integer solution; finally, utilizing an inertial navigation estimated baseline vector and a Big Dipper three-difference carrier phase observed value to produce inspection amount so as to judge whether a cycle slip occurs or not, estimating and repairing a cycle slip value if the cycle slip occurs. By means of the inertial navigation assisted Big Dipper single-frequency whole-cycle ambiguity calculation method under the short baseline condition, the calculation speed and accurate of the whole-cycle ambiguity can be effectively improved, and the method is suitable for positioning and attitude fixing of a high-dynamic carrier under the condition of a single-frequency Big Dipper satellite system.

The invention belongs to the image fusing field, and specifically relates to an infrared polarization and light intensity image fusing method guided by a multi-feature objective function capable of comprehensively considering difference feature types and strong-weak relationship of a source image at several aspects and increasing the feature utilizing rate to improve the fusion effect. According to the invention, by utilizing the type and the amplitude of infrared polarization and light intensity image difference feature and an objective function established by a fusion weight vector, the strong-weak relationship between pixel multiple attributes is comprehensively considered; by utilizing features between source images as difference information between individuality of a group and by utilizing differential evolution to perform optimization fusion based on group differences, the fusion pertinence and the fusion effect of each feature are improved; the method has the several features of effectively improving the grey level, the texture, the edge and the contrast ratio in a fused imaged. The method is mainly used to fuse infrared polarization and light intensity images.

The invention relates to the bio-detecting technology, in particular to a primer and a kit for detecting rice blast resistance genes Pigm and a genetic typing method. By means of the method of comparing alleles of multiple rice blast resistance genes Pigm with a 'GuMei 4' near-isogenic line sequence, a basic group difference site capable of being different from other susceptible alleles is obtained through analysis, and then design screening is carried out, so that the optimal primers S1806GC-F and S1806GC-R and optical probes S1806-VIC and S1806-FAM are obtained. The invention further discloses a genetic typing method for the rice blast resistance genes Pigm through the primers and the probes. Genetic typing analysis is carried out through the fluorescence real-time PCR technology, enzyme digestion, electrophoresis and sequencing are not needed, operation is easy and convenient, time and labor are saved, and safety and environmental friendliness are achieved.

The invention relates to a method and a device for generating information abstract by using a loop iteration structure; wherein, the loop iteration structure and a single compression function form an information abstract function. The loop iteration structure inputs information with any length and outputs information abstract with a fixed length. The method includes that the information is divided into n groups, initial value is set and iteration is carried through on the n groups in sequence through the single compression function; wherein, the input value of the first iteration is the initial value and the first group; when n is equal to or more than 2, the output of the n-1 iteration and the n group are taken as the input of the n iteration; a modular addition operation is carried through on a reverse code output by each iteration and carrying through n+1 iteration on the result and the first group; the n+2 iteration is carried through on the or of the next (n-1) groups and the output of the n+1 iteration to generate the information abstract. The method and device of the invention is safer than an MD iteration structure and can resist a multi-grouping difference attack as well as resist the attack of a D-way second inverse image.

The invention provide a magnetic resonance imaging decoupling hydrogen spectrum method for identifying true and adulterated honey and relates to nuclear magnetic resonance spectroscopy. The method comprises the following steps: adding an identified honey sample into a buffer solution, centrifuging the prepared sample, removing supernatant liquid, and transferring the sample into a magnetic resonance resonance tube; importing a precompiled decoupling NMR spectrum pulse sequence into a nuclear magnetic resonance spectrometer; setting pulse sequence parameters and sampling parameters, and collecting data; after the sampling is finished, carrying out relevant data processing so as to obtain a decoupling spectrogram of all samples, and preprocessing corresponding experimental data, so as to obtain subsection integral data of the decoupling spectrogram; and importing the decoupling the subsection integral data into statistical analysis software, carrying out principal component analysis and orthogonal partial least square analysis so as to judge the sizes of inter-group and in-group differences of two groups, analyzing a compound which causes the inter-group differences, and judging an adulteration manner of the adulterated honey. The pulse sequence is homonuclear wide-band decoupling pure chemical displacement spectrum method, and a 1HNMR spectrum with relatively high resolution for eliminating coupled splitting can be obtained.

The invention discloses a radiomics based multi-modality magnetic resonance image difference detection method and device. The method comprises the steps that 1) two groups of sample images are pre-processed, ROIs (Regions of Interest) are sketched in T2WI-FLAIR, T1WI-CE and DWI-ADC sequences of each group of sample images, and image features of the ROI in the three sequences are extracted; 2) double-sample T test is carried out on each image feature between the two groups of sample images, features with inter-group difference between the two groups of sample images are obtained, capability of detecting difference, between the two groups of sample images, of the features with inter-group difference is determined; and 3) the features with inter-group difference are combined in the weighted manner to obtain a new feature, and an adaboost classifier is used for image classification. According to the invention, the multi-sequence multi-parameter feature of magnetic resonance imaging is utilized, different sequences are combined to obtain more information, and inter-group difference of magnetic resonance imaging can be detected accurately.

The invention discloses an application ranking method and device and a computing device. The computing device comprises a data storage information which stores the application information of a plurality of applications, wherein the application information of each application comprises the application identification of the application, an application active amount and an accessed SDK (Software Development Kit) sign. The method comprises the following steps that: according to the application active amount, grouping each application to obtain a first amount of application groups; for each application group, according to the accessed SDK (Software Development Kit) sign, dividing the applications in the application group into the corresponding accessed SDK application group or the non-accessed SDK application group; for the accessed SDK application group or the non-accessed SDK application group in each application group, carrying out differentiated analysis to obtain inter-group difference metric values; if the inter-group difference metric value smaller than a first threshold value is in the presence, carrying out rectification processing on the application active amount of the application, which corresponds to the inter-group difference metric value, in the accessed SDK application group; and sorting the application active amount of each application according to a descending order to generate a corresponding rank.

The invention discloses a method for specific signal amplification and detection of a DNA targeted sequence of a system needing to be detected. The method is characterized in that through distinguishing effects of a single-abasic site dual-labeled fluorogenic probe and selective cutting effects of an incision enzyme 1V and a Lamdba excision enzyme, high-sensitivity, high-selectivity and fast detection of a DNA targeted sequence is realized under mild conditions. The method provided by the invention can distinguish a targeted sequence from a single-basic group difference interference sequence and is suitable for detection of single nucleotide polymorphism (SNP) genotyping and low-abundance mutation.

The invention discloses a near-infrared hyperscanning analysis method oriented to social diagnosis of autism spectrum disorder. The method comprises the following steps: S1) collecting and grouping subjects: collecting autism spectrum disorder patients and normal subjects and grouping the autism spectrum disorder patients and the normal subjects as follows: A) group of autism spectrum disorder patients and autism spectrum disorder patients, B) group of autism spectrum disorder patients and normal subjects and C) group of normal subjects and normal subjects; S2) collecting data: respectively collecting blood oxygen signals of every two participants in the experiment in pairs at the time of completing cooperation tasks by adopting a near-infrared device in the manner of sitting face to face;S3) preprocessing data: performing noise reduction processing on blood oxygen data by using software in the near-infrared device or an MATLAB self-compiled program; and S4) analyzing difference: performing dividing of task states and comparison of group differences on the preprocessed blood oxygen data signals by using a wavelet coherence algorithm.

Data on a target film image is developed so as to correspond to a predetermined X-Y two-dimensional coordinate system representing a relationship between RGB average data on each constituent pixel and respective color component data, developed pixels are divided to a plurality of groups so that pieces of the RGB average data on the respective pixels are arranged equidistantly, an average of dissociations of the respective pixels relative to a reference line representing characteristics of a film image photographed by a standard light is operated and derived as a group difference sum for each of the divided groups, for each of R, G, and B, a thickness factor for normalizing a distribution thickness of a pixel distribution in a direction in which the pixel distribution is distanced from the reference line is operated and derived, for each of the divided groups, an image difference sum is operated and derived by a product-sum operation between the group difference sum and the thickness factor, and if the image difference sum for the R, G, or B is greater than a predetermined value, the target film image is determined as a photographic image photographed using different types of light sources.

The invention discloses a shale gas block development potential evaluation method based on a relative optimal index. The method comprises the steps of collecting enrichment accumulation and development essential factor of a shale gas researching block, collecting basic data; establishing a control factor relation flow chart; calculating influence distribution of control factors; establishing an evaluation factor vector; calculating evaluation factor weight distribution; respectively calculating advantage and disadvantage distribution of a comparing block in each evaluation factor; respectivelycalculating advantage and disadvantage reliability distribution of the computing block in each evaluation factor; and calculating the relative optimal index (COI). According to the method of the invention, a dynamic calculating relative evaluation theory system is established; a group difference among multiple control factors is used for calculating the relative optimal index (COI); comprehensiveevaluation is performed on a selected area; a uniform method is supplied for comparison of different geological backgrounds, different blocks and different exploitation degrees; furthermore shale gasenriched accumulation possibility and developing ability are considered; and a more reliable settlement solution is supplied for shale gas optimal area comprehensive evaluation.

The invention relates to the technical field of agricultural implement components, and particularly discloses a group difference type corn harvester cutting knife assembly. The assembly comprises a frame, wherein a dynamic cutter and a static cutter are mounted in the frame; the dynamic cutter comprises a shaft; a plurality of extended dynamic blades are mounted on the shaft; the static cutter is fixed on the frame; the static cutter comprises a plurality of static blades; the static blades form two groups; the two groups of static blades are arranged in front and rear of the track of the dynamic blades, and form a first group of static blades in the front and a second group of static blades in the rear; a crushing section is arranged between every two dynamic blades; the assembly is characterized in that the quantity of the first group of static blades is smaller than that of the second group of static blade. The assembly has the advantage of high crushing efficiency.

A recording apparatus comprising: a recording unit for recording on a recording medium by ejecting ink; a transport belt for transporting the medium; first and second electrode groups including a plurality of electrodes located within the transport belt; and a charging unit for The first and second electrode groups are charged to provide a potential difference between the first electrode group and the second electrode group, so as to generate an electrostatic force to adsorb the medium to the conveyor belt; a double-sided transfer unit, which transfers the conveyor belt The conveyed medium is turned upward from the first surface to the second surface upward, and the medium is sent to the conveying belt with the second surface upward; and a control unit for controlling the charging unit so that the second surface is conveyed upward The potential difference between the first electrode group and the second electrode group when the medium is conveyed is different from the potential difference between the first electrode group and the second electrode group when the medium is conveyed with the first surface upward.