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44results about How to "Reduce the significance" patented technology

Method and device for removing hydrogen sulfide in gas phase through oxidation

The invention discloses a method and a device for removing hydrogen sulfide in a gas phase through oxidation. The device comprises a settling tank, an extracting pump, a filtering membrane, an ultra gravity rotary packed bed, a separator, a balanced tank and a regeneration ultra gravity machine, wherein the extracting pump and the filtering membrane are sequentially connected between the settling tank and the ultra gravity rotary packed bed; the balanced tank is connected between the settling tank and the separator; the ultra gravity rotary packed bed is communicated with the balanced tank; the settling tank and the separator are sequentially connected with the extracting pump and the filtering membrane; and the extraction pump and the filtering membrane are sequentially connected between the settling tank and the regeneration ultra gravity machine. A technology flow of pre-oxidation sweetening, ultra oxidation sweetening, sulfur settlement, and regeneration is adopted for the method. According to the method and the device, the ultra gravity machine is adopted to replace the traditional low-mass-transfer-efficiency reactor, and the ultra gravity rotary packed bed reactor is adopted both in hydrogen sulfide oxidation and catalyst regeneration, the process mass transfer efficiency is intensified greatly, and the regeneration time oxidation sulfur removing time and the desulfurizing agent regenerating time are shortened.
Owner:WUHAN GLT ENERGY & ENVIRONMENTAL TECH CO LTD

Improvement method of grating anti-counterfeiting phase modulation based on color values

The invention discloses an improvement method of grating anti-counterfeiting phase modulation based on color values. The method comprises the following steps: step 1: selecting and decomposing a hostimage; step 2: determining a hidden area of the host image and anti-counterfeiting information: at least one color channel of the host image has a hidden area where the anti-counterfeiting informationcan be set, the hidden area has s*s pixel points, the color channel where the hidden area is located is recorded as a mother set, the color values of all pixel points of the hidden area on the motherset are the same and are recorded as alpha, and the rest color channels are 3 secondary versions; step 3, performing halftone processing on the host image; and step 4: hiding the anti-counterfeitinginformation: selecting the anti-counterfeiting information that needs to be hidden, establishing a lattice point selection area in the hidden area corresponding to the contour of the anti-counterfeiting information in image processing software, recording lattice points in the lattice point selection area as a set A, and performing phase modulation on the lattice points in the set A. By adoption ofthe improvement method disclosed by the invention, the modulable angle range of the lattice points is expanded.
Owner:HEBEI JIASHICHENG ENERGY TECH CO LTD

Radar emitter signal sorting multi-objective optimization method based on membrane system

The invention discloses a radar emitter signal sorting multi-objective optimization method based on a membrane system. The traditional clustering is firstly converted to a multi-objective optimization problem; then, with a membrane computation optimization theory as a main line, intelligent information processing techniques such as a genetic algorithm and computation intelligence are integrated to the framework of the membrane structure for crossing, the self improvement ability of the algorithm is investigated, comparison with the computation efficiency and the integration ability with the current typical intelligent algorithm is carried out, the convergence accuracy and the effectiveness of the membrane system are verified, multiple Pareto frontier solutions with different clusters are expected to be acquired, the diversity and the difference of sorting results are kept, and accuracy of later sorting is facilitated. In combination of the nature of emitter signal sorting, cluster effectiveness indexes, feature evaluation indexes and other evaluation criteria related to sorting form a corresponding problem model and a multi-objective function. In view of intercepted unknown radar signals, the nature of unsupervised classification can meet radar emitter signal sorting requirements.
Owner:YUNNAN UNIVERSITY OF FINANCE AND ECONOMICS

Infrared target detection method in offshore backlight environment

ActiveCN109993744AAddressing the lack of reliable detection methodsLow operating efficiencyImage enhancementImage analysisPattern recognitionRough surface
The invention provides an infrared target detection method in an offshore backlight environment. The method comprises the steps of judging the smoothness degree of the sea surface through a standard deviation; if judging that the sea surface is a rough sea surface, carrying out Gaussian difference preprocessing, Gaussian filtering and downsampling operation with the step length being 2 and constructing a gray level Gaussian pyramid graph under multiple scales; carrying out high-scale'central-peripheral difference and applying iterative nonlinear normalization operator to obtain feature map ingray form;;if judging that the sea surface is smooth, carrying out Gabor filtering and downsampling operation with the step length being 2 and constructing directional Gaussian pyramid graphs under multiple scales; carrying out low-scale'central-peripheral 'difference and applying an iterative nonlinear normalization operator to obtain characteristic pattern in a direction form; and finally, performing an accumulated scale linear superposition operation on the feature map, and obtaining a saliency map by applying an iterative nonlinear normalization operator; carrying out self-adaptive binarization segmentation operation on the saliency map to obtain a detection result.
Owner:DALIAN MARITIME UNIVERSITY

Preparation method of plastid transgenic plant for preventing and treating Myzus persicae (Sulzer), and application of plastid transgenic plant in prevention and treatment of Myzus persicae (Sulzer)

ActiveCN113373146AAverage weight lossSignificant decrease in average body weightVector-based foreign material introductionAngiosperms/flowering plantsBiotechnologyNicotiana tabacum
The invention belongs to the technical field of biology, and particularly relates to a preparation method of a plastid transgenic plant for preventing and treating Myzus persicae (Sulzer), and application of the plastid transgenic plant in prevention and treatment of the Myzus persicae (Sulzer). The invention confirms that the Myzus persicae (Sulzer) eats plant plastids, after a Myzus persicae (Sulzer) RNAi lethal gene MpDhc64C is obtained through screening, a tobacco plastid transformation vector for expressing dsMpDhc64C is constructed, and plastid transgenic tobacco is obtained through transformation. After the Myzus persicae (Sulzer) eats the transgenic plant, the expression level of a target gene is obviously reduced, the survival rate and the number of later generations are obviously reduced, and the weight of the survived Myzus persicae (Sulzer) is obviously reduced so as to indicate that dsRNA expressed by plant plastid successfully enters the Myzus persicae (Sulzer) body and triggers the RNAi effect, so that the target gene of the insect is down-regulated, and various adverse symptoms aiming at the Myzus persicae (Sulzer) are triggered. The Myzus persicae (Sulzer) resistance of the plant is remarkably improved, and a new technical scheme is provided for Myzus persicae (Sulzer) prevention and treatment.
Owner:HUBEI UNIV

A Multi-objective Optimization Method for Radar Radiator Signal Sorting Based on Membrane System

The invention discloses a multi-objective optimization method for radar radiation source signal sorting based on a membrane system. First, the traditional clustering is transformed into a multi-objective optimization problem, and then the membrane calculation optimization theory is used as the main line, and the genetic algorithm is integrated into the membrane structure framework. Algorithms, computational intelligence and other intelligent information processing technologies are intersected, and the self-improvement ability of the algorithm and the calculation efficiency and fusion ability of the current typical intelligent algorithms are compared to verify the convergence accuracy and effectiveness of the membrane system, in order to obtain multiple data sets with different clusters. The Pareto frontier solution maintains the diversity and difference of sorting results, which is conducive to the accuracy of later sorting. Combined with the nature of radiation source signal sorting, the clustering validity index, feature evaluation index and other evaluation criteria related to sorting are constructed into corresponding problem models and multi-objective functions. For the intercepted unknown radar signals, the essence of unsupervised classification is in line with the classification requirements of radar emitter signals.
Owner:YUNNAN UNIVERSITY OF FINANCE AND ECONOMICS
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