40 results about "Homogeneity index" patented technology

A high-activity superfine additive for concrete is prepared from at least two of steel slag, flyash, granular slag of blast furnace and phosphur slag, and gypsum through grinding, proportional mixing and further pulverizing. Its advantages are high specific surface area (more than 400 sq.m / kg), high activity, and low heat release.

The invention discloses a multi-scale remote-sensing image segmentation method based on the local homogeneity index. The segmentation method comprises image quantization based on the bisecting K-means clustering, multi-scale segmentation based on surface feature context information and region merging based on SSIM and D-S evidence theory. According to the invention, coarse image quantization in JSEG is improved; the multi-scale segmentation based on the surface feature context information and the SSIM and the region merging strategy based on the D-S evidence theory are provided; by carrying out segmentation experiments on multiple groups of different sensor types of high-definition remote sensing images, it can be proved that the boundary of objectives can be precisely positioned via the disclosed algorithm; and the segmentation method is provided with quite high segmentation precision.

A method comprising melt-processing a first composition. The first composition comprises a first fluoropolymer having a relaxation exponent of from 0.93 to 1.0 and a second fluoropolymer having a relaxation exponent of from 0.30 to 0.92. A method comprising melt-processing a first composition, wherein the first composition comprises a first fluoropolymer having an LCBI of from 0 to 0.1 and a second fluoropolymer having an LCBI of at least 0.2. A method comprising melt-processing a first composition, wherein the first composition comprises a core-shell polymer having a first fluoropolymer portion and a second fluoropolymer portion. The extrusion products have a lower width homogeneity index value than observed in state of the art fluo-ropolymers.

A method for hyperspectral remote sensing image sparse mix-decomposition based on homogenous indexes comprises the steps that homogeneity analysis is conducted on each image element of a hyperspectral remote sensing image so that the homogeneity indexes can be extracted; according to a value domain of the homogeneity indexes of the image elements in the whole hyperspectral remote sensing image, linear enhancement is conducted on the homogenous indexes of the image elements, the enhanced homogeneity indexes serve as variable separations based on whole variation to separate a weight of a space regular term in the augmentation Lagrange sparse mix-decomposition algorithm, and a difference quotient operator approaching inter-image-element abundance in the algorithm is redefined. According to the method, the accuracy of sparse mix-decomposition is improved, the space smooth texture of the mix-decomposition abundance approaches the real space smooth texture distribution of the image, and influence on a mix-decomposition result by noise is effectively restrained. According to the method, important application value is brought for the aspects of high-accuracy terrain classification and ground target detection and identification based on the hyperspectral remote sensing image.

The invention provides a rapid liquid mist characteristic measuring method based on a digital image treatment technique. The measuring method comprises the following steps: acquiring an image of a liquid mist field through a CCD (Charge Coupled Device) camera, performing gray processing, subsequently extracting liquid drop information in the image by a Roberts edge detection algorithm, calculating the SMD (Sauter Mean Diameter) of different areas of the liquid mist field, accounting the number of liquid drops in the different areas and the number of liquid drops with different diameters so as to obtain the distribution of the number of the liquid drops in the different areas, the distribution of the liquid drops with different diameters, the density distribution of the liquid drops, the volume distribution of the liquid drops, the accumulation volume distribution of the liquid drops, the average MMD (Mass Median Diameter) and the evenness indexes of the liquid drops, and inputting the data into Tecplot software to output a change curve and cloud distribution of the liquid mist characteristic parameters. The measuring method is high in measurement precision, high in speed and high in efficiency and is capable of performing batch processing on multiple liquid mist images and capable of further improving the measurement precision by increasing the sampling frequency, the liquid mist characteristic parameters are detailed, stable and reliable, and the measurement cost is effectively lowered.

The invention discloses an on-line testing method of cloth even condition of cloth bed in the sintering manufacturing course, which is characterized by the following: assembling multiple thermocouples among each waste gas bellow at middle back part of sintering machine and at each bellow evenly; forming the temperature testing array of the sintered waste gas; establishing the plane temperature field of waste gas temperature of sintering machine; obtaining the character information through analyzing on-line temperature field; proceeding quantitative estimation for cloth uniformity; providing and defining the uniformity index of the sintered cloth as well as the mathematical model of the index. The invention realizes the on-line quantitative analysis of uniformity condition of composite material bed, which provides criterion to control the sintering material on the machine.

The invention discloses a uniformity detection method and device for cigarette packet printing colors. The method comprises the steps of: segmenting an image of a cigarette packet into a plurality of same areas, collecting statistics on the quantity of information points containing preset information in each area, and acquiring the segmental scales of the areas according to the number of pixels of the image; calculating the quantity of information points of each area and the feature value of the segmental scale respectively, and calculating the slope according to the quantity of information points and the feature value of the segmental scale; acquiring a uniformity index of each area according to the slope, and judging whether the uniformity index is qualified. The method and the device have the advantages that the uniformity of printing colors is measured and judged using texture feature information of the image and micro changes of color distribution, and uniformity indexes of real areas of the cigarette packet are quickly and automatically measured with high precision.

The invention discloses a method for optimizing the structure of a fuel cell multi-stack distribution cavity based on fluent simulation. The method comprises the steps that S1 CATIA is used to createa watershed geometric model of the fuel cell engine multi-stack distribution cavity; S2 the watershed geometric model is imported into fluent software, and calculated and analyzed to acquire the evenness indexes of the pressure drop of inlets and outlets, the flow rate distribution of each outlet and the flow velocity of each outlet; S3 according to the pressure and velocity cloud diagram of the calculation result, the optimal location and optimization plan are determined; step S1 and step S2 are repeated; the optimized distribution cavity is calculated and analyzed again; and S4 the calculation and analysis results of the distribution cavity before and after optimization are compared, and the structural solution with the smallest pressure drop and the best flow distribution uniformity isselected. According to the method, for a complex flow channel with circular inlets and manifold square outlets, the unreasonable part in the structure is found out and optimized through fluent calculation and analysis; the pressure drop is reduced, and the uniformity of the outlet flow is improved; and the performance and stability of the system are improved.

The invention discloses a high-resolution remote sensing image segmentation method combining a phase and a spectrum. For the limitation existing in the aspects of weak edge detection and the like dueto the fact that gradient information is excessively depended during segmentation of a traditional method, advantage complementation is conducted by introducing phase information, and firstly, phase consistency information is extracted through Log Gabor filtering; on the basis, a local homogeneity index J-value in a traditional JSEG algorithm is adopted to optimize an edge detection result, and anobjective function optimization strategy based on inter-scale mutual information minimization is provided, so that a parameter adaptive optimal parameter combination and response model is constructed, and finally, the multi-scale region segmentation and region merging is carried out based on the model to obtain a final segmentation result.

A high-activity superfine additive for concrete is prepared from at least two of steel slag, flyash, granular slag of blast furnace and phosphur slag, and gypsum through grinding, proportional mixing and further pulverizing. Its advantages are high specific surface area (more than 400 sq.m / kg), high activity, and low heat release.

The invention discloses a watershed segmentation mark point extraction method based on local area homogeneity indexes. Firstly, an original image is quantized to obtain a quantized image, and a J-image is formed with the J-value of each pixel serving as the pixel value of the pixel; the J-image is defined, the original image is segmented, the texture complexity of each region is judged, and therefore distribution of mark points can be restrained through different threshold values. By means of the method, image detail loss caused by pre-filtering processing is avoided, more mark points are extracted in the regions with the complex texture so as to extract the detail features of the image, fewer mark points are adopted in the regions with the homogeneous texture so as to avoid over-segmentation, and therefore reasonable restraint on mark point distribution is achieved.

The invention discloses a hyper-spectral end member extraction preprocessing method based on space-spectrum combination. The method comprises: step one, carrying out multidimensional Gaussian filtering on an original hyper-spectral image to obtain a series of new hyper-spectral images; step one, carrying out spatial homogeneity calculation on the new hyper-spectral images to obtain a spatial homogeneity index corresponding to each pixel in the new hyper-spectral images; step three, processing the original hyper-spectral image by using an unsupervised clustering method and carrying out pre classification on the image to enable one class to be one cluster; step four, for each cluster, determining sub sets of the pixels based on the homogeneity indexes of the pixels and determining an extremecluster; step five, selecting the clusters, carrying out end member extraction on the pixels in the sub sets and extracting one end member pixel for each cluster to obtain one group of end member abundance graphs; and step six, completing image identification and classification based on the end member abundance graphs.

The invention relates to a method for evaluating material distribution uniformity of a bell-less blast furnace. The method includes the steps: 1), partitioning the horizontal section of a block strip column of the blast furnace into a fringe region, an intermediate region and a central region; 2), using the parallel circuit analogical method to analogically take the three regions of the block strip column as a parallel circuit with three parallel branches; and 3) referring to calculation modes of parallel resistors to calculate distribution uniformity index IBH taking ore-coke ratio as content. Material column modes at different furnace material distribution conditions are extracted by means of partitioning the block strip column, a specific calculation formula for calculation of the distribution uniformity index is provided to indicate material column resistance characteristics and furnace material distribution characteristics, block strip air permeability is further indicated through the material column resistance characteristics, and the relation between the distribution uniformity index indicating the furnace material distribution characteristics and gas utilization rate is analyzed.

The invention discloses a method and a system for evaluating raw material melting evenness in a basalt tank furnace. The method comprises the following steps that: adopting an iterative computation way to track a plurality of no-quality tracer particles in the basalt tank furnace; calculating the melting index of each particle on a flowing path; and finally, through melting evenness indexes, carrying out quantitative evaluation on raw material melting evenness in the tank furnace. The invention provides a quick, convenient and low-cost method suitable for evaluating raw material melting evenness in the basalt tank furnace, a computer programming form can be adopted to quickly realizing evaluation, and basalt fiber production is pushed to develop to a tank furnace method large-scale direction.

The invention provides a dual-channel rotation inertia coarse powder separator. The dual-channel rotation inertia coarse powder separator comprises an outer shell (2), an inner shell (8) and a gas and solid inlet pipe (1) which are all sequentially arranged in a sleeved manner from outside to inside; the inner shell (8) and the gas and solid inlet pipe (1) are each of a cylindrical structure with the upper end and the lower end open; an outer annular cavity is formed between the outer shell (2) and the inner shell (8); an inner annular cavity is formed between the inner shell (8) and the gas and solid inlet pipe (1); the lower portion of the outer shell (2) is connected with a powder returning pipe (9); and the upper portion of the outer shell (2) is connected with an outlet (3). According to the dual-channel rotation inertia coarse powder separator, the impacting separation is mainly changed into centrifugal separation, fluidizing air is added, the separation efficiency is higher, and the uniformity index is higher.

The invention belongs to the technical field of ecological risk assessment on transgenic crops and particularly relates to a method for evaluating safety of transgenic cotton on organisms. The method comprises the following steps of: (1) trapping adults of cotton field insects by erecting a frequency oscillation pest-killing lamb; (2) directly surveying segmental appendage animals with large body shapes on the integral plants of cotton with naked eyes; (3) adopting a suction trap to suck the integral plants of cotton and all segmental appendage animals with small body shapes in the ground range; (4) utilizing an integrated microscope to test the segmental appendage animals collected by the suction trap to carry out sorting; (5) utilizing excel analysis software to carry out statistic analysis on types, numbers and occurrence periods of cotton field insects so as to generate diversity index, uniformity index and centrality index curves of insect communities. When the method for evaluating safety of the transgenic cotton on the organisms, which is disclosed by the invention, is utilized to carry out detection analysis, the result is closest to the real cotton field organism state.

The invention discloses a hyperspectral image classification method based on spatial information adaptive processing, and the method comprises the steps: employing a support vector machine model to process the spectral information of an original image, obtaining an initial classification result, taking the initial classification result as a spectral item, and constructing a conventional Markov random field model; calculating a relative homogeneity index of each pixel; adding the relative homogeneity index into an original space item weight constant coefficient to obtain an adaptive weight coefficient; and according to adaptive adjustment of the pixel space item weight coefficient, replacing a space item weight constant coefficient in a traditional Markov random field model with the adaptive weight coefficient so as to construct an adaptive Markov random field model, and adopting the adaptive Markov random field model to classify the hyperspectral image. The method can be used as an effective means of hyperspectral image classification based on spatial information, and has important application value in the aspects of hyperspectral image earth surface fine classification and the like.

The present invention relates to an optical material refractive index homogeneity evaluation method, and relates to the technical field of optical material refractive index homogeneity evaluation. A close relation between optical material refractive index homogeneity defects and application influences thereof is established to provide a new evaluation concept, an index and an uncertainty relationthereof of the optical material refractive index homogeneity and establish an evaluation relation mathematical calculation method, and based on the provided mathematical calculation method, a new optical material refractive index homogeneity evaluation method is designed. The optical material refractive index homogeneity evaluation method can really reflect the influence of the refractive index homogeneity on the optical system imaging when the optical materials are used and can reflect the influence of the craft materials on the optical material refractive index homogeneity to provide the reasonable evaluation index and method for the optical material homogeneity test and provide more reliable refractive index homogeneity index for the optical system design with a high imaging quality.

The present invention discloses a method for detecting uniformity of a powder injection molded feed. The method comprises: selecting a material requiring detection; carrying out sampling for the material requiring detection; observing the sample by a scanning electron microscope (SEM); partitioning the obtained SEM pictures; adopting an image processing software to carry out statistics for the partitioned region; grouping the statistical results, and processing the grouped data to obtain the uniformity index. The method of the present invention has characteristics of simple process, convenient operation and short time consuming. With the method of the present invention, the uniformity of the powder injection molded feed can be high-precisionly and quantitatively detected on the microscopic state. The method is applicable for detection of the uniformity of the powder injection molded feed.

Disclosed is a polyester conjugated yarn, including two types of polymers having a large intrinsic viscosity difference subjected to bi-component spinning so as to be longitudinally arranged in a side-by-side sectional structure, in which the twp types of polymers are polyethyleneterephthalate having intrinsic viscosity of 0.45-0.65 as a first polymer and polytrimethyleneterephthalate having intrinsic viscosity of 0.90-1.10 as a second polymer. The polyester conjugated yarn is advantageous in terms of superior spinnability and high uniformity index. In addition, the polyester conjugated yarn can exhibit high self-crimping properties through relaxation-heat treatment of the dyeing and finishing process, and as well, can be applied to manufacture woven / knit fabrics having softness to the touch, beautiful colors, and high drapery and bulk properties, due to inherent characteristics of polytrimentyleneterephthalate.

The invention provides a series-connection, double-axial and efficient pulverized coal sorting device. The device is that an inner barrel body is arranged between a housing and an inner cone; a channel communicated with a primary air duct is divided into a sorting channel and a pulverized coal returning channel; an upper-stage baffle and a lower-stage baffle are arranged in one cycle in the sorting channel; the opening degrees of the upper-stage baffle and the lower-stage baffle can be adjusted to adjust the fineness of pulverized coal; a pulverized coal returning channel inlet is arranged between the upper end of the inner barrel body and a cover plate; a pulverized coal returning quantity control device is fixedly arranged in one circle in the pulverized coal returning channel; a plurality of pulverized coal returning pipes are arranged between the lower end of the inner barrel body and the housing; the parts in which the end parts of the pulverized coal returning tubes are connected with the inner cone are arranged below a cone cap; returned pulverized coal falls into a coal pulverizing machine through the pulverized coal retuning channel and the pulverized coal returning tubes to be pulverized again. According to the device, the centrifugal sorting characteristic is fully utilized; the pulverized coal returning channel is arranged at the outside of the sorting channel; the unqualified pulverized coal after centrifugal sorting can be thrown into the pulverized coal returning channel and then fall into the coal pulverizing machine through the pulverized coal returning tubes. The device is simple in structure, small in resistance, and high in pulverized coal uniformity indexes and sorting efficiency.

The present invention relates to an optical material refractive index homogeneity evaluation method, and relates to the technical field of optical material refractive index homogeneity evaluation. A close relation between optical material refractive index homogeneity defects and application influences thereof is established to provide a new evaluation concept, an index and an uncertainty relationthereof of the optical material refractive index homogeneity and establish an evaluation relation mathematical calculation method, and based on the provided mathematical calculation method, a new optical material refractive index homogeneity evaluation method is designed. The optical material refractive index homogeneity evaluation method can really reflect the influence of the refractive index homogeneity on the optical system imaging when the optical materials are used and can reflect the influence of the craft materials on the optical material refractive index homogeneity to provide the reasonable evaluation index and method for the optical material homogeneity test and provide more reliable refractive index homogeneity index for the optical system design with a high imaging quality.

The invention relates to an evaluation method for dilute phase pneumatic conveying powder flow stability. The evaluation method is characterized by comprising the following steps: obtaining a differential pressure data set of gas flowing through a Venturi tube by a differential pressure sensor, and calculating the gas flow uniformity index of a powder pneumatic conveying device to be evaluated according to the differential pressure data set under a pure airflow condition; judging whether the gas flow of the powder pneumatic conveying device to be evaluated is stable according to the gas flow uniformity index of the powder pneumatic conveying device; obtaining the differential pressure data set of a gas-powder mixed fluid flowing through the Venturi tube by a differential pressure sensor, and carrying out noise reduction treatment on the differential pressure data set under a gas-powder mixed flowing condition; calculating the powder flow uniformity index and powder flow discreteness index of the powder pneumatic conveying device to be evaluated; and judging the powder flow stability of the powder pneumatic conveying device to be evaluated. The evaluation method can be widely used in the technical fields of pneumatic conveying and data processing.

In order to solve problems of over segmentation, under segmentation, and difficult accurate positioning of an object boundary during high-resolution remote sensing image segmentation, the invention discloses an improved-JSEG-algorithm-based urban high-resolution remote sensing image segmentation method. According to the method, an information-entropy-based multi-band fusion strategy is used for obtaining a unified multi-scale J-image sequence, so that the detailed information loss caused by over-rough image quantization; multi-scale minimum marking is carried out by using a local homogeneity index J-value for to determine a seed area reasonably; and then regional segmentation and merging are carried out by using JSEG. In the experiment, high-resolution IKONOS and WorldView images are selected and comparison with JSEG and WJSEG is carried out. The result demonstrates that the real boundary of an object can be localized accurately, under segmentation and over segmentation problems can be solved effectively, and the segmentation precision and reliability can be improved when the method is used.

The invention discloses a dustbin uniform distribution weighing adjusting method and relates to the field of dustbins. The dustbin uniform distribution weighing adjusting method comprises the steps offirstly, acquiring the weighing measurement values Ti of garbage over weighing sensors arranged on a sensor array of a dustbin; secondly, solving the garbage gauge heights Hi of weighing areas corresponding to the weighing sensors; thirdly, solving the homogeneity index E of the weighing areas; and fourthly, sending a vibration command to a vibrating device arranged on an inner cavity if the homogeneity index E is greater than the first equilibrium threshold value THE. Through the method, uniform distribution and control of the garbage in all the areas in the dustbin can be effectively improved, and the probability of occurrence of car accidents caused by uneven distribution of the garbage is reduced.

The invention provides a method for evaluating the safety of aquatic environment for genetically modified insect resistant rice. The method comprises the following steps of: arranging and managing genetically modified paddies and non-genetically modified paddies; determining foreign protein in water layers and silt of the paddies, which comprises pretreating samples and extracting and determining the foreign protein; separating plankton in the water layers of the paddies, which comprises collecting water samples and precipitating and separating the plankton; determining the kind and the abundance of the plankton in the water layers of the paddies, which comprises identifying living bodies and counting the number; and planting the genetically modified insect resistant rice and evaluating the safety of the plankton, performing statistical analysis on the kind, the number and the occurrence period of the plankton by using analysis software so as to obtain parameters of a diversity index, a uniformity index and the like, and comparing the parameters with those of conventional paddies so as to evaluate the safety of the aquatic environment for the genetically modified 53 insect resistant rice. The method disclosed by the invention has practical application value for systematically assessing the safety of the aquatic environment for the genetically modified insect resistant rice.

The invention discloses a quantitative detection method for separation of roller compacted concrete aggregate by feeding. The quantitative detection method uses a homogeneity index and changes thereofto quantitatively evaluate the separation of the roller compacted concrete feeding through an elephant trunk, provides an objective and fair quantitative detection method with simple operation and low cost for the degree of the separation of the roller compacted concrete through an outlet of the elephant trunk and the influence of the elephant trunk on the uniformity of the roller compacted concrete feeding through elephant trunk, can be used for objectively and fairly judging the quality of different types of elephant trunks, and provides a scientific basis for the selection of the elephanttrunk. The quantitative detection method is used in the field of testing the quality of roller compacted concrete transport.