39results about How to "Reduce testing requirements" patented technology

The invention discloses an orientated surface-enhanced Raman spectrum detection method based on a high-activity site. The orientated surface enhanced Raman spectrum detection method comprises the following steps: selecting a clean silicon wafer or glass sheet as an SERS (surface-enhanced Raman scattering) detection chip for later use; synthesizing silver nano-sol with SERS activity and a grain diameter of 10nm to 60nm; after centrifuging, concentrating according to a ratio ranging from (1 to 100) to (1 to 400); dissolving an object to be detected into a solution; sequentially dropwise adding a sodium chloride solution, the solution of the object to be detected and the concentrated silver nano-sol into a substrate treated by the step (1) and mixing; storing a mixture under constant-temperature and constant-moisture conditions and drying to form a film; carrying out SERS detection on a film layer sample on the substrate by utilizing a microscopic confocal Raman spectrometer. The orientated surface enhanced Raman spectrum detection method is used for detecting under a dry state; Raman laser is more easily focused and is not easily interfered by air movement and the like; a sodium chloride crystal is visible under an optical microscope, so that a detection range can be effectively locked; a sample can be repeatedly detected for a plurality of times.

A superscalar data processing apparatus and method are provided for processing operations, the apparatus having a plurality of execution threads and each execution thread being operable to process a sequence of operations including at least one memory access operation. The superscalar data processing apparatus comprises a plurality of execution pipelines for executing the operations, and issue logic for allocating each operation to one of the execution pipelines for execution by that execution pipeline. At least two of the execution pipelines are memory access capable pipelines which can execute memory access operations, and each memory access capable pipeline is associated with a subset of the plurality of execution threads. The issue logic is arranged, for each execution thread, to allocate any memory access operations of that execution thread to an associated memory access capable pipeline. Such a system has been found to provide an effective balance between increasing the efficiency of operation of the superscalar data processing apparatus when employing multiple execution threads whilst also alleviating the need for complex hardware to handle hazard detection.

A method for detecting the content of total polyphenols, belonging to the technical field of food, by making the polyphenolic compounds in the sample carry out quantitative oxidation reaction with tungstomolybdic acid in Folin's phenol reagent in an alkaline solution under dark conditions, and the tungsten Molybdic acid itself is reduced to generate a blue compound, and the depth of the blue compound is proportional to the number of phenolic groups. The absorbance of the reacted sample is measured, and the total amount of molybdenum in the sample is calculated according to the gallic acid standard curve. Phenol content. The detection method of the total polyphenol content of the present invention uses a spectrophotometer to measure the absorbance, calculates according to the standard curve of gallic acid, shortens the detection time, lowers the detection requirements, and solves the problems of high instrument requirements and complicated sample processing of other detection methods.

The invention discloses an anti-counterfeiting mark, a marking device, an anti-counterfeiting recognition method and a target object marking method. According to the invention, a plurality of photochromic particles are covered by a mark carrier, and the mark carrier can take effects of a lens, so that a luminescence area is increased, and light, which is generated through a photochromic effect, can be detected out more easily; meanwhile, the mark carrier, which is quite tiny, can be conveniently mixed with a target object, which is to be marked and is not represented in a fixed shape, or target object raw materials or mixed with transparent liquid and then sprayed to or coated on the surface of the target object, so that the target object is marked in a hidden mode, and subsequently, detection requirement and difficulty are reduced. Moreover, the anti-counterfeiting marks, when coated on the surface of the target object or when formed in the target object, are distributed in a random mode; and an anti-counterfeiting mark image, which is formed by random distribution, can be used for uniquely marking the target object in a hidden mode as a 'fingerprint' of the marking device, and detection and recognition can be conveniently implemented.

The invention discloses a method for detecting a glycemic index, and the method comprises the following steps: detecting moisture, ash, fat and protein of a food sample to obtain the amount of the food sample containing 1g of carbohydrate; simulating a food sample of 1g of carbohydrate digested by a digestive system in a human body, performing sampling detection at different digestion time points,calculating the starch consumption rate and the blood glucose value, and then obtaining the blood glucose generation index through a theoretical calculation formula. According to the method for detecting the glycemic index, the human digestion is simulated in vitro, so the detection time is shortened, the detection requirement is reduced, and the problem that a large amount of manpower and material resources are consumed by in-vivo detection is solved.

The invention relates to a remote diabetes intelligent diagnosis system based on electronic nose for detecting respiratory gas, which includes: an electronic nose detection module, a wireless transmission module, an intelligent mobile terminal module, and a machine learning application module deployed in a cloud platform. The system can remotely analyze expiration signal, collected by the electronic nose, of human body by using the machine learning application deployed in the cloud platform in order to obtain a diagnosis result, which is then sent to and displayed on the intelligent mobile terminal module. The electronic nose detection module can acquire concentration information of sensitive components in the respiratory gas from a user and then sends a responding signal to the intelligent mobile terminal module through the wireless transmission module; then the user uploads the data to a cloud server for processing the data; and the machine learning application deployed in the cloudplatform can quickly give out the diagnosis result, which is displayed on the intelligent mobile terminal module. The intelligent diagnosis system achieves rapid noninvasive diagnosis of diabetes, hasthe potential of supplying remote medical service, reduces use threshold of users, and may be applied to large-scale screening and daily detection on the diabetes.

The invention relates to a helmet detection method and device based on improved YOLOv5s, electronic equipment and a storage medium. The method comprises the following steps: constructing a YOLOv5s-Light target detection framework; using a target image training set to train the YOLOv5s-Light target detection framework to obtain a YOLOv5s-Light target detection training framework; inputting an image set to be detected into the YOLOv5s-Light target detection training framework to obtain a target detection set; and detecting the target detection set by using a riding detection algorithm to obtain a target detection result. According to the method, firstly, a YOLOv5s-Light target detection framework is constructed, the YOLOv5s-Light target detection framework greatly reduces the network parameter quantity on the basis of the YOLOv5s target detection framework, the construction of a lightweight model is realized, then the YOLOv5s-Light target detection framework is utilized to obtain a target detection set, and finally, the target detection set is detected through a riding detection algorithm to obtain a target detection result, so that a required target can be effectively detected, unnecessary targets can be filtered, and the detection requirement is low.

The invention belongs to the technical field of color ultrasound, and discloses a combined type detection and diagnosis color ultrasound system and detection method for ultrasonography department. Thedetection method comprises the steps of collecting ultrasound image data of a patient through an ultrasonic probe; rectifying color ultrasound diagnosis equipment through a rectifying procedure; performing color coding on blood flow signals through a coding algorithm, and overlaying the blood flow signals after being subjected to color coding on a two-dimensional image; performing optimization treatment on the collected ultrasound images through an optimizing procedure; extracting ultrasound image characteristic elements through an extraction procedure; performing diagnosis and analysis on the extracted characteristics through a diagnosis procedure; and displaying the ultrasound image data after being subjected to color coding through a displayer. Through a rectifying module, a lot of abuses of detecting equipment which is used at present can be effectively overcome, the detection time can be effectively shortened, the detection demands can be reduced, the detection items can be developed, and the mobility is improved. Besides, through an image optimization module, the signal digits of the ultrasound images can be reduced to be adapted to displaying demands of the displayer, the infidelity of image treatment is small, and ultrasound images excellent in quality can be obtained.

The invention provides a device for measuring the transparent medium refractive index by utilizing a laser feedback principle. The device for measuring the transparent medium refractive index by utilizing the laser feedback principle is characterized in that laser feedback fringes generated by the displacement of a to-be-measured sample are taken as a research object; the to-be-measured sample has the wedge angle with same as that of a standard sample; when an incident plane is vertical to the laser axis displacement, because the respective thicknesses of the to-be-measured sample and the standard sample in an optical path changes, namely an optical path in a laser outer cavity changes, feedback fringes are generated in a laser output optical intensity curve. Through the relationship between the feedback fringes and the displacement amount, the refractive index of the to-be-measured sample can be obtained through calculation. The refractive index measurement range of the device provided by the invention is not restricted by a critical angle of the full-reflection principle, and moreover the to-be-measured sample can be transparent solid, liquid and gas, so the application range is wide. The invention further provides a method for measuring the transparent medium refractive index.

The invention discloses a method for identifying an obstacle on a track. The method comprises the following steps: obtaining the vibration signal of a train; and qualitatively identifying impact according to the vibration signal to determine whether the obstacle exists on the track or not. The obstacle is identified in a contact manner, so the identification method is simple, the identification isnot affected by the size and the color of the obstacle, and is also not affected by illumination and the bent and straight lines of the track, thereby the method has the advantages of low detection requirements, wide application range and accurate identification result. The invention also discloses a system for identifying the obstacle on the track. The system has the same advantages with the method.

The invention provides an oscillation source positioning method and device of a forced oscillation, a terminal and a readable storage medium. The method comprises the steps that the angle measurementdata and the active power measurement data of a generator rotor are acquired; according to the angle measurement data and the active power measurement data, the Mahalanobis distance measurement data of a multivariate time series are acquired; and the position of the oscillation source of the forced oscillation is determined according to the Mahalanobis distance measurement data. According to the method, the multivariate time series of the angle measurement data and the active power measurement data is established; dynamic time warping is carried out on the multivariate time series; the Mahalanobis distance measurement data of the multivariate time series of two kinds of measurement data are acquired; finally the position of the oscillation source is determined according to the Mahalanobisdistance measurement data; the detection requirement for start-up time is reduced; the actual operability of the algorithm is improved; and the accuracy of oscillation source positioning is improved.

The invention provides an apparatus for on-line detection of particle properties during fluidized-bed granulation. The apparatus comprises a hermetic shell, a sample acquisition mechanism, a first visual inspection unit, a second visual inspection unit and an image processing system, wherein the first visual inspection unit comprises a first camera, a circular tray and a pressure transducer; the image processing system acquires the particle size information of particles from a falling image of a sample and acquires the angle alpha of repose from an image of a sample accumulation; the second visual inspection unit comprises a measuring cylinder, a measuring-cylinder fixing plate, a light source, a vibrating table and a second camera; and the image processing system acquires the apparent density rho of the particles from the image of the sample in the measuring cylinder before starting of the vibrating table and acquires the tap density rho<t> of the particles from the image of the sample in the measuring cylinder during vibration of the vibrating table. The apparatus provided by the invention can realize on-line detection of the particle size distribution, repose angle, apparentdensity, tap density, porosity and Hausner ratio of the particles during fluidized-bed granulation.

The application of the present invention discloses a high-voltage insulation fault detection method, device, electronic equipment and system; the high-voltage insulation fault detection method, the specific steps include: obtaining fault detection instructions; controlling multiple high-voltage contactors to close sequentially according to a preset sequence; wherein , the plurality of high-voltage contactors respectively control the opening and closing of different branches; respectively calculate the resistances of the different branches after closing, and obtain detection results. The application of the present invention solves the problem that since the insulation detector of the pure electric vehicle is in the high-voltage general circuit, it is difficult to determine the specific fault branch after a fault occurs, and it is necessary to manually use a multimeter to detect one by one, resulting in highly specialized fault detection and requiring professionals. At the same time time-consuming and laborious technical problems.