134results about How to "Rapid detection" patented technology

The present invention describes an in situ reverse transcriptase PCR method in which the background fluorescence is greatly reduced as compared to traditional in situ PCR.

The invention discloses a license plate detection method based on deep learning, comprising the following steps: using a fast-rcnn algorithm to train an RPN convolution neural network and a fast-rcnn convolution neural network; building an image library with marks and tags as a sample set; using the trained RPN convolution neural network to process the images in the sample set to get a rough license plate area; sending a rough license plate box to the trained fast-rcnn convolution neural network for judgment; and judging whether the rough license plate area is an optimal license plate area according to the output vector of the fast-rcnn convolution neural network, and if the rough license plate area is an optimal license plate area, taking the rough license plate area as a final license plate area. According to the invention, a multi-scale and multi-proportion reference box is adopted in training of the RPN convolution neural network, so detection of license plates with unconventional scale and proportion is promoted effectively. The RPN convolution neural network and the fast-rcnn convolution neural network share convolution layer parameters, so the whole system is simpler, less amount of calculation is needed, and the rate of missed detection is lower. Moreover, the real-time requirement of the system can be satisfied.

A method of avoiding channel interference in a multi-channel sensor network, includes periodically measuring an energy of a channel used by at least one node included in the sensor network; determining if the energy of the channel has a value larger than a first preset threshold; when the energy of the channel has a value larger than the first preset threshold, concluding that the channel is influenced by an interference from an interference source, and reporting it to a parent node of the at least one node; and switching the channel influenced by the interference to a new channel, which is not influenced by an interference, thereby avoiding an influence of the interference.

A control device for an internal combustion engine in which a direct injector that directly injects fuel into a corresponding one of a plurality of cylinders and a port injector that injects fuel into an intake port are both provided on each of the plurality of cylinders includes: a control unit that controls a fuel injection amount from the direct injectors and the port injectors; and an imbalance detecting unit that, in a state where fuel is injected from both of the direct injectors and the port injectors, detects an imbalance in air-fuel ratio among the plurality of cylinders. When the imbalance in air-fuel ratio is detected by the imbalance detecting unit, the control unit controls the fuel injection amount from the direct injectors and the port injectors such that fuel is injected from one of the direct injectors and the port injectors.

The invention belongs to the technical field of computer vision, and provides a low-light image scene understanding method. A frame of series model of scene understanding based on depth learning and image enhancement is designed. For the input low-light image, the image is enhanced first to improve the brightness and discrimination without changing the color information of pixels in the image. Inthis framework, the task of scene understanding in low-lighting images is solved. The visual enhancement network provided by the invention can improve brightness on the basis of keeping picture colorinformation through jump connection operation, combining low-level color and structure information and high-level semantic information while restoring details, thereby restoring picture details. The restored image will effectively facilitate the detection, segmentation and other scene understanding tasks. Comparing qualitatively and quantitatively, the method proposed by the invention is superiorto the existing picture enhancement methods in both synthetic and real pictures.

The invention discloses coumarin-oxacalix[3]arene fluorescent reagents as well as a preparation method and application thereof, and belongs to the fields of organic synthesis and analytical chemistry. The invention respectively synthesizes two coumarin-oxacalix[3]arene fluorescent reagents: chemical name a: 7,15,23-tertiary butyl-25,26,27-tri{1-[N-(7-coumarin oxyethyl)-1,2,3-triazole]-4-methoxy}-3,11,19-trioxacalix[3]arene; b: 7,15,23-triethoxycarbonyl -25,26,27-tri{1-[N-(7-coumarin oxyethyl)-1,2,3-triazole]-4-methoxy}-3,11,19-trioxacalix[3]arene. Meanwhile, the invention discloses a synthesis method and process conditions. According to the invention, the two coumarin-oxacalix[3]arene fluorescent reagents, in detecting ferric ions, have characteristics of high selectivity and high sensitivity; the fluorescent reagents are applicable to qualitative and quantitative analysis.

The invention discloses a small target detection method based on regional nomination. The method comprises: step one, carrying out input image preprocessing and converting the input image into one with a unified size; step two, extracting an image base feature map and extracting five-layer feature maps; step three, carrying out feature fusion and carrying out fusion of the fourth-layer feature mapand the fifth-layer feature map; step four, carrying out small target area nomination and generating small target area nomination by using a regional nomination network; and step five, carrying out small target bounding frame refinement and small target area classification. The method has advantages of fast calculation speed, high small target recognition precision, good generalization performance, and good detection performance of common minimum target areas.

Temperature measurement data obtained by measuring the temperature of a cable clamp (31) by a temperature sensor (320) is radio-transmitted from a temperature sensing unit (32) at a predetermined timing, and the radio-transmitted temperature measurement data is received by a receiving station (5), classified by the temperature sensing unit number, and stored in a temperature measurement data storage area (502A). The temperature measurement data transmitted from twelve temperature sensing units (32) can be received by one receiving station (5).

The invention discloses a method for rapidly detecting mixing uniformity of a powdery material. The method comprises the following steps of: firstly, getting all properties of materials to be mixed; then, mixing and then sampling; then, working out an offset value through calculation; then, performing evaluation according to the magnitude of the offset value; when the offset value is not greater than 10 percent, showing that the materials are evenly mixed; if the offset value is greater than 10 percent, continue mixing the materials again; and then, resampling for detection until the required offset value is reached. According to the method for rapidly detecting the mixing uniformity of the powdery material, the mixing uniformity of the material is evaluated by adopting a calculation method, and thus, the problems that the steps of a traditional method are complicated, the application scope is narrow, and meanwhile, the representativeness is poor due to the fact that samples are few can be solved. The method for rapidly detecting the mixing uniformity of the powdery material is a brand-new technology. The cost is reduced, the efficiency is increased and the product competitiveness is enhanced for enterprises.

The invention discloses a production operation behavior identification method, device, equipment and system based on a structured double-flow convolutional neural network and a storage medium, and themethod comprises the following steps: obtaining a monitoring video of a production environment, and decomposing the monitoring video into an image frame sequence and an optical flow sequence; inputting the image frame sequence and the optical flow sequence into a structured double-flow convolutional neural network to obtain an action category and timestamp information of each frame of image; introducing an attention mechanism into the structured double-flow convolutional neural network; and according to the action category and the timestamp information, obtaining a production action instancethrough calculation. According to the production operation behavior identification method provided by the invention, the production operation behavior in the video can be rapidly and accurately identified, and the intelligent manufacturing requirement is met.

A lighting device includes a DC/DC converter for receiving DC power and converting the DC power into a predetermined output required for a load; a voltage detection unit for detecting an output voltage or an equivalent value from the output voltage; a current detection unit for detecting an output current or an equivalent value from the output current; and a control unit for controlling the DC/DC converter based on detection values from the voltage detection unit and/or the current detection unit. The control unit reduces the output when a rapid change is detected in a load state in which a change in the output within a first predetermined time is equal to or greater than a predetermined width.

A vehicle detection apparatus comprises an other-vehicle detection module configured to detect points of light in an image captured by a vehicle to which the vehicle detection module is mounted and to detect other vehicles based on the points of light, a vehicle lane-line detection module configured to detect an vehicle lane-line in the captured image, and a region sectioning module configured to section the captured image based on the detected vehicle lane-line into an own vehicle lane region, an oncoming vehicle lane region, and a vehicle lane exterior region. Other vehicles are detected by the other-vehicle detection module by detecting points of light based on respective detection conditions set for each of the sectioned regions.

Modified symmetrically branched polymers are combined with bioactive agents for a variety of purposes including drug delivery and conjugation to one member of a binding pair for use in an assay.

The invention discloses a bluetooth identification and verification anti-counterfeiting system based on an intelligent terminal, and a method thereof. The bluetooth anti-counterfeiting system comprises radio frequency tags and an intelligent terminal used to identify information of the radio frequency tags. The radio frequency tags comprise a bluetooth module which records anti-counterfeiting identification information and a battery. The intelligent terminal comprises a bluetooth front-end module, a processing unit and an output unit. When the intelligent terminal is working, the bluetooth front-end module is connected with the bluetooth module in the radio frequency tags, reads the recorded anti-counterfeiting identification information and uploads the anti-counterfeiting identification information to the processing unit to be identified. The output unit outputs a result to finish authenticity identification of goods. Compared with existing optical visual anti-counterfeiting technologies such as two-dimension codes, bar codes, laser, etc., the anti-counterfeiting system is much harder to be imitated. Using a mobile phone as a client is more convenient and rapid than using a special card reader. The bluetooth anti-counterfeiting system can be widely used in convenient anti-counterfeiting identification fields such as food, pharmaceutical, logistics, etc. The bluetooth anti-counterfeiting system has multi-tag detection capability with rapid detection, can greatly reduce identification time, increase an identification distance, and reduce error probability.

A clothes treating apparatus includes a drum, an air suction unit forming a flow path of air introduced into the drum, an air exhaustion unit forming a flow path of air exhausted from the drum, a condenser heating air sucked into the drum through the air suction unit, an evaporator cooling air exhausted from the drum through the air exhaustion unit, a compressor compressing refrigerant introduced from the evaporator, and a variable expander expanding a refrigerant introduced from the condenser, and having a variable open degree. An operation method includes measuring a temperature of a refrigerant into the evaporator, and a temperature of a refrigerant into the compressor, and decreasing an open degree of the variable expander when a temperature difference between the two measured temperatures is less than a predetermined first value.

There is provided a monitoring system which includes a plurality of monitoring cameras and a management device. The management device transmits feature information relevant to a person to one or more first monitoring cameras and receives check results, and transmits time information in which the person is captured to second monitoring cameras based on the check results. The management device specifies the person based on a check result acquired in such a way that the second monitoring cameras perform a check using the time information.

The present invention relates to a sensor capable of detecting an aromatic nitro compound explosive, and a preparation method thereof, and more specifically, to a nanosensor system, and a detection method using the same, wherein a quantum dot-based sensor for detecting an aromatic nitro compound explosive can conveniently detect an aromatic nitro compound explosive with high sensitivity on the basis of a change in energy transfer between quantum dots. The method for detecting an explosive of the present invention makes an explosive come in contact with a quantum dot thin film to which an explosive can combine, and measures a change in fluorescence wavelength, thereby sensing an explosive. According to the present invention, the method for detecting an explosive on the basis of quantum dots uses a change in fluorescence wavelength which is unlike a known detection method using the change in quantum dot fluorescence intensity, and thus is not sensitive to a change in surroundings, can carry out rapid detection, and can detect even a low concentration of explosives with high sensitivity. Therefore, the present invention is expected to be extensively commercialized.

The present invention relates to a supercooling method and a supercooling apparatus which can maintain an object in a supercooled state. According to the present invention, a supercooling method includes a first cooling step of cooling a stored object toward a cooling temperature below a phase transition temperature thereof, a step of judging whether the stored object is released from a supercooled state in the first cooling step, a step of thawing the stored object when the stored object is released from the supercooled state, and a second cooling step of cooling the stored object toward a cooling temperature below zero that is higher than the lowest temperature of the stored object before the release of the supercooled state, wherein the first cooling step is continuously performed when the object is maintained in the supercooled state.

The invention relates to a method for preparing a Eu3+ labelled molecule imprinted sensor used for pesticide residue detection and belongs to the technical field of environment functional material preparation. The method comprises the steps that Eu3+ and amino groups and pesticide residue molecules in APTS are pre-organized and then subjected to hydrolytic crosslinking condensation with TEOS so that the Eu3+ labelled pesticide residue molecule imprinted silicon dioxide nanoparticle sensor can be obtained, pesticide residue molecule selective recognition site holes are obtained after pesticide residue molecules are eluted, chelation between pesticide residue molecules and Eu3+ on a recognition site is conducted after the pesticide residue molecules enter the recognition site of the sensor again, the fluorescence intensity of the pesticide residue molecules is improved after being chelated with Eu3+, and then high-selectivity, high-binding-capacity and high-sensitivity detection of the trace pesticide residue molecules is achieved by means of the change of the fluorescence intensity. The obtained Eu3+ labelled molecule imprinted sensor has the advantages that the rigidity of the recognition site is high, Eu3+ is not prone to elution, repeated utilization can be achieved, solvent inertness, light stability and single dispersity are high, and size is uniform.

A gene detection system for detecting a target gene upon hybridization with a probe comprising a probe-immobilizing support on which a probe is immobilized, and heating and cooling means disposed in contact with another location different from the surface of the probe-immobilizing support on which the probe is immobilized, whereby genes can be rapidly detected with high sensitivity through hybridization.

The invention relates to a gas station type determination method and a gas station type determination system based on a national VI intelligent vehicle-mounted terminal. The gas station type determination method comprises the following steps of: acquiring real-time data of a vehicle according to the national VI intelligent vehicle-mounted terminal; when a refueling condition of the vehicle is refueling, if the longitude and latitude data of gas stations recorded in a current region and meeting the national standard and the longitude and latitude data of the vehicle during refueling are largerthan a set position distance threshold value, determining consumption data after refueling of the vehicle according to the real-time data; judging whether the consumption data after refueling of the vehicle meets a set standard or not; if the consumption data after refueling of the vehicle meets the set standard, determining the current gas station as a gas station meeting the national standard; and if the consumption data after refueling of the vehicle does not meet the set standard, determining the current gas station as a gas station which does not meet the national standard. According to the gas station type determination method and the gas station type determination system based on the national VI intelligent vehicle-mounted terminal, the efficiency and accuracy of detecting illegal gas stations can be improved.

The invention provides a method for rapid, highly specific and sensitive detection and quantification of a virus by observing viral substrate binding to its host receptor protein. The invention also provides a method for rapid, highly specific and sensitive detection and quantification of a virus in an individual suspected of being infected with a virus. The invention further provides a test kit for rapid, highly specific and sensitive point-of-care detection of a virus in an individual. The viruses and their host receptor proteins that can rapidly be detected include SARS-CoV-2 and its host receptor protein ACE2. The surprisingly rapid, specific and sensitive method of the invention provides a point-of care test capable of diagnosing individuals suffering from COVID-19 by observation of a color change in the assay, which color change occurs in about five minutes, and which test can be completed by a user in about one hour.

The invention discloses a pulse pressure navigation radar target detection method, and is applied to a pulse pressure navigation radar. The pulse pressure navigation radar includes an antenna, an emission control unit, a transceiving control unit, a receiver, a pulse compression unit, a threshold value forming unit and a target detection unit. The method utilizes noise information in echo signals, weakens the echo amplitude of a strong target, and reduces influence of the echo of the strong target on an echo of a weak target, thereby enabling a threshold value forming method of target detection to satisfy requirements of detection of the weak target in the vicinity of the strong target.

A temperature monitor includes a temperature sensor, a transmitter, and a controller. The temperature sensor generates a temperature signal based upon a detected temperature and the controller controls the temperature sensor to generate the temperature signal and controls the transmitter to transmit the temperature signal along with a time at a first predetermined interval.

The invention discloses a porous array electromagnetic field reinforced SERS (surface enhanced raman scattering) device for detecting trace microcystic toxins and a preparation method of the porous array electromagnetic field reinforced SERS device. The device comprises a silicon dioxide substrate layer and a film layer which are adhered to each other, wherein a window is reserved in the silicon dioxide substrate layer to enable a part of the film layer to be exposed; a metal layer is adhered to the surface of the window and the exposed film layer; upper and lower through holes A and B which are distributed in an array manner are respectively formed in the exposed film layer and the metal layer on the exposed film layer; and the film layer is a silicon nitride film, a molybdenum disulfide film or a graphene film. The invention further discloses a method for detecting trace microcystic toxin molecules in a water environment by utilizing the SERS device. By adopting the method, detection of through hole weak current signals of the trace microcystic toxin molecules and enhancement of weak Raman scattering signals of the trace microcystic toxin molecules are achieved, and detection of the contents of trace molecules and detection of surface enhanced Raman scattering signals are achieved simultaneously.

The invention provides a highway security monitoring device for monitoring whether a running vehicle is overspeed or overloaded or not on a highway. The highway security monitoring device comprises a road security detection module and a monitoring module. The road security monitoring module comprises a camera acquisition module, a GPS speed measurement module, an acquired signal processing module connected with the camera acquisition module and the GPS speed measurement module, and a wireless transmitting module connected with the acquired signal processing module. The monitoring module comprises a wireless receiving module, a received signal processing module connected with the wireless signal receiving module, a display module connected with the received signal processing module, and a data storage server connected with the display module.

The invention discloses an infrared detection method for concrete high temperature damage. Including (1) preparation of test pieces; (2) simulated fire test; (3) infrared detection and compressive strength detection; (4) data processing steps. The present invention is mainly aimed at the C30 concrete used in ordinary civil buildings and projects, and tests the infrared temperature rise of the concrete, the fire temperature and the non-destructive detection model of the concrete compressive strength loss through the infrared detection method, and obtains the non-destructive detection model suitable for ordinary construction projects. The relative formulas of concrete compressive strength loss, fire temperature and infrared temperature rise reflect the two indicators of concrete fire temperature and compressive strength loss through infrared temperature rise, and are of great significance to the technological progress of the construction industry and social and economic development. .

The invention relates to a nondestructive testing method for a bubble mixed light soil embankment and belongs to the field of testing of the embankment. The nondestructive testing method comprises thefollowing steps: (1) arranging a testing point; (2) acquiring an ultrasonic signal; (3) correcting data on site; (4) inversely analyzing an acoustic parameter; and (5) judging the quality of the embankment. The simple practical method is provided to test the quality of the bubble mixed light soil embankment, and also has a very strong reference effect on the testing of the quality of other embankments.

Present invention deals with a new immuno-reagent comprising hapten (MPAD)-protein-gold for pesticides detection. The conjugate MPAD-protein-gold competes with the analyte of interest for a finite number of binding sites provided by anti-atrazine antibodies coated on nitrocellulose membrane. The newly developed conjugate has a long shelf life with high stability at 4° C. The dynamic concentration range for standard atrazine solutions shows a linear inhibition (decrease in intensity of color) between 10 ppb to 1 ppm atrazine in water samples.

The invention relates to a radar and method for measuring the transverse velocity of a moving object. The radar for measuring the transverse velocity of the moving object comprises a linear frequency-modulation pulse wave transmitting unit, a linear frequency-modulation pulse wave radio frequency front-end receiving unit, a signal processing unit, a control unit and a velocity display unit, wherein the control unit is connected with the linear frequency-modulation pulse wave transmitting unit, the linear frequency-modulation pulse wave radio frequency front-end receiving unit, the signal processing unit and the velocity display unit, and the linear frequency-modulation pulse wave radio frequency front-end receiving unit, the signal processing unit and the velocity display unit are connected in sequence. The radar for measuring the transverse velocity of the moving object is placed at a position a certain distance away from the moving object, two receiving circuits which are spaced from each other by a certain distance receive electromagnetic wave signals which are reflected back by the moving object, and the transverse velocity of the moving object is displayed through the display unit after processing such as mutual interference of the two paths of signals and velocity measurement is conducted. According to the radar and method for measuring the transverse velocity of the moving object, the moving object velocity detection performance, the moving object recognition performance and the moving object tracking performance of a radar system can be improved with respect to accuracy and real-time performance.