35results about How to "Realize the detection purpose" patented technology

The invention discloses a nucleic acid amplification system and a freeze-drying protective agent thereof. The nucleic acid amplification system comprises a buffer solution, an enzyme mixing solution, a nucleic acid amplification reaction solution and the low-temperature freeze-drying protective agent. The buffer solution further comprises one or more of dNTP, Mgcl2, Thris-Hcl and KCl. The enzyme mixing solution further comprises one or more of RNA reverse transcriptase, RAN inhibitor and DNA polymerase. A preparation method for the freeze-drying protective agent applied to the nucleic acid amplification system comprises the following step that the components are mixed to be uniform according to the adopted concentration ratio to obtain the freeze-drying protective agent. An RNA / DNA fluorescent quantitation nucleic acid diagnostic reagent system can be detected in a freeze-drying mode, freeze drying can be achieved, the detection purpose can be achieved only through one-step hydration, and the purposes of normal temperature transportation and storage which cannot be achieved by a nucleic acid diagnostic reagent at the present stage can be achieved.

The invention provides a wireless sensor network DOS (disk operating system) attack lightweight detection method based on a random forest, and relates to the field of wireless sensor network information security. The method includes the steps: collecting one group of monitoring data by wireless sensor network monitoring nodes every other a fixed time, and transmitting the monitoring data to a basestation; generating detection characteristics (A) and (B) according to perception data attack characteristics of DOS attack on the base station, and standardizing the detection characteristics (A) and (B) into (A*) and (B*); combining a training set with the detection characteristics (A*) by a k-means++ algorithm to obtain normal data and noise data, and adding a certain attack data into the normal data obtained at the stage to train the random forest; firstly judging each sample to be detected is noise or not according to the detection characteristics (A*), and detecting whether DOS attack happens or not by the aid of a random forest and the detection characteristics (B*) if not. The method is implemented on the base station, DOS attack is detected without additional contribution of themonitoring nodes, and node calculation, storage and energy are saved.

The invention discloses a freeze-drying protective agent applied to a nucleic acid amplification system. The freeze-drying protective agent is prepared from one or more of trehalose and water treated through diethylpyrocarbonate. The freeze-drying protective agent applied to the nucleic acid amplification system further comprises cane sugar and / or lactose. A preparing method of the freeze-drying protective agent applied to the nucleic acid amplification system includes the following steps that the components are mixed accordingly the use concentration ratio to be even, and the freeze-drying protective agent is obtained. By means of the freeze-drying protective agent, the fluorescence quantitative nucleic acid diagnostic reagent system of RNA / DNA can be detected in a freeze-drying mode, freeze drying can be achieved, the detecting aim can be achieved only through one-step hydration, and the normal-temperature transportation aim and the normal-temperature storage aim which can not be achieved through a nucleic acid diagnostic reagent at the present stage can be achieved.

The invention belongs to the technical field of electrical equipment detection, and particularly relates to a method for detecting arc extinguishing performance of a circuit breaker. A large number ofcircuit breakers are in a power grid, but the arc extinguishing methods of different types of circuit breakers are different, and a general method for detecting the arc extinguishing performance of the circuit breakers is needed. The invention provides a method for detecting arc extinguishing performance of a circuit breaker. The arc extinguishing performance of the circuit breaker is judged according to the electromagnetic wave signal and the arc duration time by detecting the electromagnetic wave signal radiated by a switch arc generated in the switching-on and switching-off process of thecircuit breaker. The method for detecting the arc extinguishing performance of the circuit breaker is wide in application range, and can achieve the detection purpose for various types of circuit breakers; and the arc extinguishing performance of the circuit breaker is judged by acquiring electromagnetic wave signals of the circuit breaker in the states of putting into operation, different operation years and reaching the service life, and the actual production requirement in the power industry is met.

The invention relates to an unsupervised video anomaly detection method and device based on a mask auto-encoder, and the method comprises the steps: carrying out the target detection of each frame of obtained monitoring video data, and extracting the image blocks of the corresponding positions of a detected foreground target in a current frame and a plurality of adjacent frames; constructing cubes according to the image blocks of each frame, and performing interval mask operation on each cube in a time domain; according to the space-time cubes and the optical flow cubes after the interval mask operation, prediction blocks of masked parts in the space-time cubes and the optical flow cubes are obtained through visual network prediction; respectively calculating the prediction loss of each space-time cube and each optical flow cube at the pixel level; and according to the prediction loss of each space-time cube and each optical flow cube, calculating to obtain an abnormal value score of each frame in the monitoring video data, and obtaining an abnormal event detection result of the video frame to which the abnormal value score belongs. And high-performance end-to-end video abnormal event detection is realized.

The invention discloses an intelligent human-body acid-base detector and a method for detecting parameters of physical and psychological health. The detector comprises a pH sensor, a high-impedance amplifier and an adder. The detector is characterized in that the detector also comprises a MSP430F149 single chip microcomputer in which a basic detection program and a special detection program are written; the single chip microcomputer has a 12-bit A / D converter which can convert 0-2,500 mv analog signals about saliva acid-base state, which are acquired by the pH sensor, subjected to high-impedance operational amplification and processed by the adder, into digital signals; mv-A / D-PH conversion is completed by the single chip microcomputer; corresponding technical analysis is completed according to the special detection program; meanwhile, instructions are sent out to a FLASH speech chip and a display driver chip; and detection results are reported in characters and voice through an LCD and a loudspeaker. The invention is used for detecting and judging the pH value of human body fluid and the fatigue states, physical ability reserve and emotional stress of drivers.

The invention discloses a botnet detection system and method for an IoT environment, and belongs to the technical field of intrusion detection. The method comprises the following steps: a flow collector monitoring the flow of monitored IoT equipment, and obtaining a flow data packet conforming to a to-be-detected rule based on a white list mechanism; the storage unit storing a flow data packet acquired by the flow collector; the data packet analyzer analyzing the content in the traffic data packet stored in the storage unit and obtaining IP information after analysis, and the IP information comprising time, a source IP, a destination IP, a source address and a destination address; the feature extractor extracting all statistical features of the IP information and performing feature dimension reduction processing in feature engineering to obtain three statistical features ranked in the front; and the sample detector carrying out malicious behavior judgment detection on the obtained three statistical characteristics based on a detection model constructed by a decision tree algorithm. The botnet detection method and device are used for botnet detection of the IoT environment.

The invention relates to a lesion data collection method, a lesion identification method and a computer device. The lesion data collection method includes methods that a lesion image sample of a to-be-detected part is obtained; according to a standard pathological report, the lesion position in the lesion image sample is found; according to lesion characteristics corresponding to the lesion position, the lesion part under an electronic endoscope is back-tracked. The lesion identification method is further disclosed, the lesion identification method comprises steps that lesion data is collected, the artificial intelligence deep learning network is utilized for training according to the lesion data to obtain a standard lesion identification model; the model is utilized to identify lesion data of a new to-be-detected part, and the lesion condition is determined. The computer device is further disclosed and includes a processor, a memory and a computer program which is stored on the memoryand operable on the processor. The lesion data collection method, the lesion identification method and the computer device are advantaged in that the lesion position can be accurately found through the electronic endoscope, and the probability of detecting the lesion in advance can be greatly improved.

The invention discloses a glass bottle defect detection apparatus and an image splitting device. The glass bottle defect detection apparatus comprises a plane light source, a polarizer, a diaphragm, the image splitting device, a lens and a camera, wherein the polarizer is arranged in front of the plane light source, the diaphragm is arranged in front of the polarizer, a to-be-detected glass bottle is located between the polarizer and the diaphragm, the image splitting device, the lens and the camera are coaxially arranged in front of the diaphragm and are increasingly far away from the diaphragm, the image splitting device comprises a Fresnel biprism, two obliquely intersecting incident planes of the Fresnel biprism face the diaphragm and are arranged to be corresponding to to-be-detected positions, an intersecting prism ridge of the two incident planes is perpendicular to a horizontal plane, a left or right half part of an emergent plane of the Fresnel biprism is plated with a polarizing film, and the polarization direction of the polarizing film is perpendicular to the polarization direction of the polarizer. According to the invention, the detection apparatus can realize detection of conventional and uneven stress defects of a glass bottle only by using one camera, is capable of measuring boundary dimension of the glass bottle and has the advantages of low detection cost, a small occupation space, high accuracy and a low false drop rate.

The invention provides a one-dimensional raster scanning measuring head. The one-dimensional raster scanning measuring head comprises a lower substrate, a measuring pin installation turning wheel, a tensioning turning wheel, a measuring pin, a flexible steel belt, a tensioning spring, a raster ruler and a raster ruler reading head; the measuring pin drives the measuring pin installation turning wheel to appropriately rotate, the flexible steel belt and the raster ruler on the flexible steel belt are accordingly driven to move relative to the raster ruler reading head, the position variable quantity of the measuring pin is accordingly converted into the reading variable quantity of the raster ruler, and the detection aim of the measuring head is achieved. According to the one-dimensional raster scanning measuring head, continuous and sensitive motions of the measuring pin are achieved through the traction capacity and the deformation recovery capacity of the tensioning spring; the one-dimensional raster scanning measuring head competes detection depending on the mechanical transmission principle and the raster optical principle rather than the self-inductance and mutual-inductance detection principle, the detection sensitivity is high, the anti-interference capacity is high, the structure is simple, the one-dimensional raster scanning measuring head is easy to implement, and the position variable quantity of the measuring head in a large scope can be measured.

The present invention proposes a microelectrode and a probe containing the microelectrode and its application in measuring oxygen content in the brain, the microelectrode comprises: a carbon fiber electrode; a hydrophobic modification layer, the hydrophobic modification layer is formed on the carbon fiber electrode an outer surface; and a catalyst modification layer, the catalyst modification layer is formed on the outer surface of the hydrophobic modification layer, and the catalyst modification layer is formed by ISAs-Co / HNCS. The microelectrode of the present invention can effectively detect the oxygen content, especially the in-situ detection of oxygen in the brain, realizes the direct four-electron oxygen reduction process, and at the same time is not disturbed by the hydrogen peroxide reduction current, avoiding the generation of excessive cytotoxic hydrogen peroxide, With a controllable and stable electrode interface, the electrode detection has strong stability and good repeatability, and has wide application prospects.

The invention discloses a system and method for botnet detection in IoT environment, belonging to the technical field of intrusion detection. The present invention includes a flow collector monitoring the flow of the monitored IoT device, and obtaining flow data packets that conform to the rules to be detected based on a whitelist mechanism; a storage unit stores the flow data packets acquired by the flow collector; The content in the existing traffic data packets is parsed. After parsing, IP information is obtained. The IP information includes time, source IP, destination IP, source address and destination address; the feature extractor extracts all statistical features of the IP information and performs feature engineering. The feature dimensionality reduction processing is performed to obtain the top three statistical features; the sample detector based on the detection model constructed by the decision tree algorithm performs malicious behavior judgment and detection on the obtained three statistical features. The present invention is used for botnet detection in IoT environment.

The invention provides a trityl-based light-emitting free radical material and a preparation method and application thereof, belonging to the technical field of organic light-emitting materials. In the trityl radical luminescent material provided by the present invention, the common feature is the trityl radical connected to the nitro group with a strong electron-withdrawing effect; the central trityl radical not only acts as a The luminescent construction group also serves as an activation group to make trityl radicals more likely to be nucleophilicly substituted by biothiols. The synergistic effect of the two units (trityl radical and nitro group) enables the material to realize the detection purpose of multiple responses to biological thiols; to realize the detection of cysteine ​​three channels (fluorescence, ultraviolet and EPR signals). According to the above strategies, the purpose of identifying biothiols in RGB patterning, simulated clinical assays and fluorescence imaging was achieved.

The invention provides a fluorescent resonance probe and an application and a kit thereof, and belongs to the field of biological chemistry. The fluorescent resonance probe is suitable for detection of a target nucleic acid segment and comprises a first fluorescence probe and a second fluorescence probe which can form a T-shaped structure together with the target nucleic acid segment. According to the T-shaped structure, fluorescent resonance energy transfer of a first fluorescence group on the first fluorescence probe and a second fluorescence group on the second fluorescence probe can be ensured. Qualitative or quantitative detection of the target nucleic acid segment is achieved through detecting the fluorescent resonance energy transfer efficiency. The fluorescent resonance probe has relatively high specificity and sensitivity, and the base sequence difference degree can be reduced to the target nucleic acid segment of one base for detection.

The invention relates to a method for measuring antigen protein in serum by chemiluminescence protein chips and a kit, which belongs to the medical detection technology. The method is characterized in that a chemiluminescence technology, a standard curve and a protein chip technology are combined for performing quantitative determination of certain antigen protein substance in serum, the high specialty and sensitivity of the chemiluminescence technology and the standard curve are employed for realizing the quantitative determination; the protein chip technology can realize simultaneous detection and analysis of several samples, so that the detection time consumption of a whole set ofe sample is greatly reduced, and the method has the characteristics of reliability, accuracy and low cost; and the method is suitable for general analysis of common antigen protein level in serum and quantitative analysis of great disease antigen marks, and the method is an medical auxiliary detection method having great meaning. The invention also provides a matched kit based on the method.

The invention discloses a solid-state electrochemiluminescence sensor for mercury ion detection and its preparation method and application. -Hg 2+ -T mismatch binding DNA2, biotin at the end of DNA2 and glassy carbon electrode of avidin; its preparation method includes the preparation step of immobilized DNA1 glassy carbon electrode and the assembly step of solid-state electrochemiluminescence sensor, the advantage is that it has sensitivity High, good stability, strong selectivity, good reproducibility, easy operation, saving reagents, etc.