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52results about How to "Good detection rate" patented technology

Method for detecting lactic acid bacteria in probiotic bacteria

The invention discloses a method for detecting lactic acid bacteria in probiotic bacteria, and belongs to the technical field of detection for microbial products. The method comprises the following steps: (1) adding a sample to be tested to a PBS buffer solution supplemented with BSAV, homogenizing, and preparing a homogenate of the sample, wherein the ratio of the sample to be tested and the PBSbuffer solution is 1g: 9mL, adding a lactose solution to the homogenate of the sample, and removing a supernatant by a water bath and centrifugation to obtain a bacterial suspension; (2) adding lacticacid bacteria immunomagnetic beads to the bacterial suspension obtained in the step (1), after mixing and shaking, placing the bacterial suspension on a magnetic stand and layering, discarding the upper layer, eluting the lower layer sample, adding the PBS buffer solution to the eluted lactic acid bacteria immunomagnetic beads, and shaking and resuspending magnetic beads to obtain a sample solution to be tested; (3) culturing, observing, and testing the sample solution to be tested. The invention shortens the detection time of the lactic acid bacteria in the sample, improves the detection rate of the lactic acid bacteria and the accuracy of the detection result, and has high detection sensitivity.
Owner:HENAN BUSINESS SCI RES INST

Attack detection method and device for privacy protection-oriented cyber-physical system

ActiveCN114338161AGood detection rateMitigate the problem of easily injecting attack signalsPlatform integrity maintainanceSecuring communicationPrivacy protectionData science
The invention discloses an attack detection method, an attack detection system, an attack detection device and attack detection equipment for a privacy protection-oriented information physical system, and a computer readable storage medium. To-be-transmitted aggregated data obtained by performing preset nonlinear transformation on noise-added aggregated data generated based on a differential privacy mechanism is transmitted through a network communication channel, and a data receiving end performs inverse transformation of the preset nonlinear transformation on the received first aggregated data to obtain second aggregated data, and performing optimal estimation on the aggregation data at the current moment based on Kalman filtering according to the second aggregation data to obtain an estimation residual error of an optimal estimation value, and performing attack detection, thereby reducing an over-high detection threshold caused by a differential privacy mechanism by increasing the randomness of the real-time aggregation data. Therefore, the problem that an attacker can more easily inject an attack signal by wrong data injection is solved, and a better detection rate is obtained.
Owner:SHANDONG COMP SCI CENTNAT SUPERCOMP CENT IN JINAN

Method for detecting type of FSW welding seam defect by using ultrasonic phased array

The invention provides a method for detecting the type of an FSW (Friction Stir Welding) welding seam defect by using an ultrasonic phased array, and belongs to the technical field of nondestructive detection of a welding joint. The method is characterized by taking aluminum alloy as a raw material, obtaining butt welding seams by using FSW, for incomplete-penetration and tunnel hole defects in different shapes in the welding seam, detecting the shapes of the interfaces of the defects by means of the ultrasonic phased array, detailedly researching the characteristics of phased array sector scanning modes in different directions of the interfaces of the tunnel holes, and finally identifying the different shapes of the incomplete-penetration and tunnel hole defects by combining texture analysis. The method of the invention has the advantages that: (1) the detection is convenient and easy to operate; (2) The detection efficiency is high and the reliability is strong; in conclusion, the ultrasonic phased array technology has obvious advantages on FSW welding seam detection, is accurate in tunnel hole positioning, and has good detectable rate even if the orientation of a defect interface is complex in the aspect of detection of fine size defects.
Owner:江西省锅炉压力容器检验检测研究院
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