96results about How to "High recognition sensitivity" patented technology

The invention discloses a high-sensitivity local defect diagnosis method for a power cable. According to the method, on the basis of a power cable reflection coefficient spectrum of a frequency domain, a reflection coefficient spectrum of a power cable is measured and analyzed by using a non-destructive test technology; positioning of a local defect of a power cable is realized by combining a strobing gate and a modern digital signal processing technology; and a wave velocity obtained by a rear part or a virtual part of the reflection coefficient spectrum after conversion, of the measured cable is compared with a wave velocity of a new cable and the difference between the reflection coefficient spectrum value after conversion and a corresponding simulated fitting curve are combined, thereby realizing evaluation on the severity degree of the local defect. Compared with the prior art, positioning of a local defect with a weak changing degree and multi-defect identification are realized; and the severity degree of the local defect of the power cable can be evaluated.

The invention discloses a display panel and a display device, and belongs to the technical field of display. A display panel comprises a substrate; a light shielding layer located at one side of the substrate, wherein the light shielding layer comprises a plurality of light shielding parts; a reflecting film layer which is located at one side, far away from the substrate, of the light shielding layer and comprises a plurality of reflecting parts; a photosensitive film layer which is located at one side, far away from the substrate, of the reflecting film layer, and comprises a plurality of fingerprint recognition units. The orthographic projection of the light shielding parts to the substrate is a first projection, and the orthographic projection of the reflecting part to the substrate isa second projection, and the orthographic projection of the fingerprint recognition unit to the substrate is a third projection, wherein the first projection, the second projection and the third projection are overlapped. The display device comprises the display panel. The luminous flux received by the fingerprint recognition unit can be increased, the recognition sensitivity of the fingerprint recognition unit is improved, and the fingerprint recognition effect of the display panel is improved.

A high resolution biosensing system for detecting and identifying a biochemical material to be tested by using proportional relationship between frequency variation of oscillation and mass of the biochemical material to be tested comprises a biosensor; an oscillatorfor generating oscillation based on the sensed result; a phase-lock loop circuit receiving the oscillation of the oscillator and generating pulse signals;an ultra-high frequency counter for counting the pulse signals; and a microprocessor for storing and displaying output from the ultra-high frequency counter and for controlling the oscillator. The phase-lock loop circuit generates the pulse signals of a frequency, which is n times the frequency of the oscillator and with a constant phase difference therebetween to trigger the ultra-high frequency counter. Accordingly, the resolution can be raised up to n times.

The invention discloses a method for simply and clearly detecting and finding recovered oil processed from kitchen waste oil through an instrument by adding a tracer in the used kitchen waste oil for clearly marking the kitchen waste oil. Therefore, the kitchen waste oil after recovery can still be simply and clearly detected even through the treatment, such as dilution, high temperature, deodorization, bleaching, deacidification and the like, and a way that people re-eat the kitchen waste oil is further cut off. The method disclosed by the invention has the advantages of high sensitivity in identification, simple identification method, accurate identification result, low using cost and no impacts on reasonable re-utilization of the kitchen waste oil, and is easy to popularize and use.

The invention discloses a self-service book lending system and a use method thereof. The self-service book lending system comprises a cloud server, a local server, multiple self-service book lending machines, multiple electronic tag cards and multiple clients; the local server is arranged on a library locally, the self-service book lending machines are respectively arranged in libraries of different areas, and the electronic tag cards are arranged in the libraries; the self-service book lending machines read the electronic tag cards and are in signal communication connection with the same, theself-service book lending machines are in data cable connection with the local server, and the cloud server are in communication connection with the local server and the clients respectively. The self-service book lending system has the advantages that library collection information and borrowers' identity information are uploaded to the cloud service through the local server, borrowers can access the cloud server to inquire the library collection information and handle the renewal of books through the clients, resource sharing in interregional libraries is realized, and inquiry and renewal of the books is greatly facilitated.

The invention provides a liquid metal patterning technology-based strain sensor and a virtual keyboard, preparation method and application thereof. A glove is manufactured by using a liquid metal patterning technology, so that the method is simple and feasible and mass production can be realized easily. The glove can be worn on a hand to accurately monitor the hand actions in real time; and furthermore, the glove can be used as a virtual keyboard to realize convenient and rapid input of characters, so that the difficulty that the traditional keyboards are large in volume and difficult to carryis overcome. The glove is full-flexible, so that a rigid printed circuit board is avoided and good flexibility and tensile property are provided. The input style of the glove keyboard is close to theinput manner of traditional QWERTY keyboards, so that when being compared with existing glove keyboards, the glove keyboard is easy to be accepted by consumers. The strain sensor can be made into a patch to be pasted at each joint so as to recognize the actions of the whole body.

The invention discloses a 10kV power distribution cable intermediate joint positioning method. Firstly, DFT processing is carried out on an input impedance spectrum of the head end of a cable to obtain an original positioning spectrogram, then a window function with excellent performance is selected to carry out windowing processing and normalization processing on the original positioning spectrogram, and according to the positioning spectrogram after windowing processing, a distortion area in the spectrogram can be reflected more visually, so that an intermediate joint is positioned more accurately. The 10kV power distribution cable intermediate joint testing device is completely suitable for 10kV power distribution cable testing requirements, high in testing speed, high in testing precision, portable and long in standby time, and by adding the second-order Nuttall self-convolution window for processing, testing of the 10kV power distribution cable intermediate joint can be achieved with higher sensitivity.

The invention provides an offshore platform damage positioning method based on residual strain energy and a system thereof. The method is characterized by in an actual work environment, carrying out vibration testing on a perfect offshore platform and a damaged offshore platform so as to acquire a vibration mode matrix of the perfect offshore platform and a vibration mode matrix of the damaged offshore platform; carrying out principal component analysis on the vibration mode matrix of the perfect offshore platform and the vibration mode matrix of the damaged offshore platform so as to acquire a vibration mode residual of the perfect offshore platform and a vibration mode residual of the damaged offshore platform; then constructing a damaged positioning index; and determining a damaged position of an offshore platform. By using the offshore platform damage positioning method based on the residual strain energy and the system thereof, a modal vibration mode of a structure is taken as source data; and through using the vibration mode residual acquired through a principal component analysis method, a residual strain energy index is constructed and then the damaged position of the offshore platform is determined. A few groups of vibration mode data is used to eliminate an interference of an environment factor and damage positioning is accurately completed. Time and financial resources are saved.

The invention discloses a robust communication radiation source intelligent identification method based on deep learning. The method comprises the steps of preprocessing signal sample data; performing data enhancement on the signal sample data; extracting signal sample data features by using a CNN module + LSTM model, classifying the features of each signal sample data by using a Softmax logistic regression model, identifying abnormal signal sample data according to the confidence of each signal sample data, and performing K-Means clustering on the features of the abnormal signal sample data. The design scheme of the invention is simple and easy to implement, and the method can be used for receiving signals with different carrier frequencies, signal-to-noise ratios and phase distortion degrees, has strong adaptability to intercepted signals in different communication environments, can be used for identifying historical radiation sources with labels, and can also be used for carrying out blind source classification on abnormal radiation sources without labels.

The invention relates to a method and device for constructing an insulation fault identification model of a voltage transformer, and the method comprises the steps: collecting the secondary voltage data of a voltage transformer in an insulation fault simulation experiment, and constructing an insulation fault experiment data set; performing feature extraction on the insulation fault experiment data set by using a consistent relationship of primary voltages of a plurality of voltage transformers in the same phase, eliminating the influence of primary voltage fluctuation, and obtaining a laboratory fault feature data set by using a principal component analysis method; training the laboratory fault feature data set by using a supervised learning algorithm to obtain a fault identification model; and finally, migrating the fault identification model to an actual substation working condition by using a transfer learning algorithm to obtain an improved fault identification model. Through the fault identification model constructed by the invention, the insulation state of the voltage transformer can be monitored on line in real time without power-off maintenance, the operation state of the voltage transformer can be mastered in real time, and the risk that the fault voltage transformer serves an electric power system is reduced.

The invention provides a blind road and obstacle identification system and method. The blind road and obstacle identification system comprise a system master switch and the like, a walking stick handle is made of hollow plastic, the system master switch is inlaid in the left front end of the walking stick handle, a detection function shifting switch is arranged at the top end of the walking stick handle, a promoting function shifting switch is inlaid in the middle lower end of the walking stick handle, and a voice prompt module and a vibration prompt module are both disposed inside the walking stick handle; a walking stick body is made of hollow plastic, and a power module, an MCU (micro control unit) module, an obstacle detection module and a blind rod detection module are arranged sequentially from top to bottom; the system master switch is electrically connected with the power module; the detection function shifting switch and the prompt function shifting switch are both electrically connected with the MCU module; the voice prompt module, the vibration prompt module, the obstacle detection module and the blind road detection module are all electrically connected with the MCU module. The blind road and obstacle identification system is small in size, high in detection sensitivity, high in detection sensitivity, good in real-time performance and capable of meeting the requirement on market miniaturization.

The invention provides a mobile terminal and a control method of the same. The mobile terminal comprises a mobile terminal body, a fingerprint module and a first water absorbing layer, wherein a containing slot is arranged on the mobile terminal body to close to the fingerprint module; the first water absorbing layer is filled in the containing slot and is used for absorbing the moisture on a finger surface when the fingerprint module accepts the press of the finger. By arranging the water absorbing layer on the mobile terminal body to close to the fingerprint module, the water absorbing layer can be used for absorbing the moisture on a finger surface when the fingerprint module accepts the press of the finger, so that the finger state is in the normal working range of the fingerprint module, the recognition reliability and the recognition sensitivity of the fingerprint module in the mobile terminal are improved.

Embodiments of the invention provide a fingerprint image processing method, a fingerprint identification apparatus and an electronic device. The fingerprint image processing method comprises the stepsof obtaining fingerprint image data collected by multiple channels, and extracting a first image set from the fingerprint image data, wherein elements of the first image set are fingerprint images collected in any same batch by the collection channels; performing gray value reduction processing on the elements in the first image set to reduce gray values of the elements with the minimum gray values in the first image set to zero, thereby obtaining a second image set; and performing gray value amplification processing on the elements in the second image set. According to the method, the interference of common mode noises can be inhibited and the sensitivity of a fingerprint identification system can be improved.

The invention discloses a specific monoclonal antibody capable of distinguishing mequindox and olaquindox metabolites, and an enzyme-linked immunosorbent assay method and kit for detecting the mequindox and olaquindox metabolites. According to the invention, the monoclonal antibody is secreted by a hybridoma cell strain DMEQ1A3 of which the preservation number is CCTCC N0.C201496. Compared with the prior art, the monoclonal antibody prepared by the invention can distinguish desoxy mequindox and desoxy olaquindox at the same time, and has higher sensitivity and specificity. The ELISA method and the kit, disclosed by the invention, can detect the residue of the mequindox and olaquindox metabolites in meat food at the same time, and have the advantages of high detection efficiency, high sensitivity, high precision, high accuracy and the like.

The invention discloses a specific monoclonal antibody capable of recognizing aflatoxin B1, B2, G1 and G2. The monoclonal antibody is secreted by a hybridoma cell strain AFB1 / 3B9, the hybridoma cell strain AFB1 / 3B9 is preserved in the CCTCC (China Center for Type Culture Collection), and the collection number is CCTCC NO: C201558. The invention further discloses an ELISA (enzyme-linked immunosorbent assay) method for detecting aflatoxin B1, B2, G1 and G2 and a kit. Compared with the prior art, the prepared monoclonal antibody can recognize aflatoxin B1, B2, G1 and G2 simultaneously and has very high recognition sensitivity; the ELISA and the kit have the advantages of simplicity, convenience, quickness, sensitivity, accuracy and the like.

A high resolution biosensing system for detecting and identifying a biochemical material to be tested by using proportional relationship between frequency variation of oscillation and mass of the biochemical material to be tested comprises a biosensor: all oscillator for generating oscillation based on the sensed result, a phase-lock loop circuit receiving the oscillation of the oscillator and generating pulse signals; an ultra-high frequency counter for counting the Bulb; signals; and a microprocessor for storing and displaying output from the ultra-high frequency counter and for controlling the oscillator. The phase-lock loop circuit generates the pulse signals of a frequency, which is n times the frequency of the oscillator and with a constant phase difference therebetween to trigger the ultra-high frequency counter. Accordingly, the resolution can be raised up to n times.

The invention provides a landmine detection system and method capable of suppressing a background. The landmine detection system comprises the following parts: a transmitting coil module and a transmitting circuit module are connected; a receiving coil module is connected with a receiving and amplifying circuit module; a transmitting circuit module and the receiving and amplifying circuit module are connected with a quadrature demodulation module; the quadrature demodulation module is connected with a digital signal processing band-pass filter module; the digital signal processing band-pass filter module is connected with the transmitting circuit module; the method is better in background suppression performance, can extract detection background echo signals of a plurality of frequency points compared with a conventional single frequency, and can form a statistical filter.

The invention discloses a fingerprint recognition chip packaging method and structure. The method includes: attaching a fingerprint recognition chip to a first surface of a substrate; printing a wire on the first surface of the substrate; arranging a connecting wire between the first surface of the substrate and the fingerprint recognition chip; packaging the outer surfaces of the substrate and the fingerprint recognition chip by using packaging material, wherein a packaging layer covers the connecting wire and the fingerprint recognition chip; the packaging material comprises a demoulding material the concentration of which on the surface of the packaging layer is higher than that inside the packaging layer; and grinding the packaging layer. Since the concentration of the demoulding material in the packaging material on the surface of the packaging layer is higher than that inside the packaging layer, the concentration of the demoulding material in the packaging layer on the surface of the fingerprint recognition chip can be reduced after the packaging layer is grinded, thereby improving the recognition sensitivity of the packaged fingerprint recognition chip. Since the surface of the fingerprint recognition chip is protected by the packaging layer, the fingerprint recognition chip can be protected from being damaged.

The invention discloses a visual detection method of Pb <2+> of polydiacetylene lipidosome in a water environment. The method comprises the following steps of firstly, preparing chemical reagent raw materials required by an experiment and a dry glass instrument; then, successively carrying out synthesis of PCDA-NS, synthesis of PCDA-EDEA and synthesis of PCDA-TAA; putting a synthesized compound into a corresponding sample bottle; then, preparing the polydiacetylene lipidosome, observing forms of PDA lipidosome prepared in different proportions through a transmission electron microscope, and photographing before and after the Pb<2+> is added, and obtaining an optimal PDA lipidosome sensor according to characteristics of the forms and an appearance and color changes. By using the visual detection method of Pb <2+> of the polydiacetylene lipidosome in the water environment, large instruments and equipment are not needed, complex sample pretreatment is not needed, an analysis period is short, rapid real-time analysis can be achieved, convenience is brought to operation of workers, and practicability of a detection experiment is also improved.

The invention discloses a tobacco sheet box bandage shearing device. The tobacco sheet box bandage shearing device comprises a shearing mechanism (1), a sliding rail mechanism (2), a linear sliding table mechanism (3), a workbench (4), a roller path conveyor (5), a sheet box (6), a color bandage (7) and a detection control system (8). The tobacco sheet box bandage shearing device is characterized in that the shearing mechanism comprises a rack (11), a lifting roller (12), a shearing auxiliary knife (13), a shearing motor (14), a shearing blade (15), a wedge-shaped fork plate (16) and a knife sharpening grinding wheel set (17). The shearing mechanism, a color code electric eye optical fiber sensor, a linear sliding table module and other machines are adopted, detection sensing and control are combined, the PLC programming control technology is integrated, the color bandage on the sheet box is cut off in an intelligent recognition and shearing manner, and the purposes of lowering the labor intensity of operators and improving the work efficiency are achieved.

A method for recognizing amino acid enantiomers by adopting a chiral gold nano-channel belongs to the technical field of ion channel construction and chiral recognition. According to the invention, achiral nano-channel is placed in the middle of an electrolyte sample pool with holes to be used as an ion channel, and the recognition of different amino acid enantiomers can be realized by adopting an electrochemical test on ion transmission signals of amino acids containing different enantiomers. By using the method, recognition of dozens of amino acid configurations can be realized. Among currently known amino acids, the enantiomer recognition sensitivity of tryptophan is the highest. According to the method, the chiral configuration is recognized through ion transmission, and huge possibility is provided for establishment of a new chiral detection method and application expansion of an ion channel.

The invention relates to a label constructing method for labeling at low-lying parts of deeply recessed containers. The label constructing method is characterized in that in order to prevent a two-dimensional code on a packaging container from being read through stealing before a consumer purchases a product, improve code identification sensitivity and prevent the product in the container from being contaminated by printing ink, the adopted label structure for the deeply recessed containers is formed by the steps of: arranging optically readable code on the back surface of a transparent thin film, and printing a background printing ink layer on the code, wherein the size of the background printing ink is larger than the code area and is smaller than a die cutting portion or the low-lying parts of the deeply recessed containers; spraying a non-setting adhesive layer larger than the background area on the background printing ink layer; and spraying a silicone oil on the non-setting adhesive, and adhering a protective layer on the silicone oil. The label constructing method can realize high-speed mass tagging on bottle caps or deeply recessed containers which are generally impossibleto be tagged, and can prevent the food and beverage from being contaminated by the printing ink.

The invention relates to a semiconductor packaging device and a manufacturing method thereof. A first trench, a second trench and a third trench are respectively formed on the back surfaces of a first semiconductor chip, a second semiconductor chip and a third semiconductor chip, so that the depth of the first trench is larger than that of the second trench, the depth of the second trench is larger than that of the third trench, and a fourth semiconductor chip, a fifth semiconductor chip and a sixth semiconductor chip are arranged in the first trench, second and third trenches. By means of the structure, the height difference of the active faces of the semiconductor chips can be effectively adjusted, and the semiconductor packaging flexibility is further improved; when the fourth semiconductor chip is a light-emitting chip, the fifth semiconductor chip is a light sensing chip, and when the sixth semiconductor chip is a biological recognition chip, the recognition sensitivity of the light sensing chip can be effectively improved, and the accuracy and sensitivity of biological recognition are improved.

The invention relates to a method for directly spraying codes at low-lying parts of deeply recessed containers. The method is characterized in that: in order to prevent a two-dimensional code on a packaging container from being read through stealing before a consumer purchases a product, address the urgent needs of spraying codes at bottle caps or inner side bottom parts of the deeply recessed containers and take food safety into account, a protective thin film is sprayed on printed printing ink; and in order to improve identification sensitivity of the codes and be adapt to bottle caps or thedeeply recessed containers of different colors, background color spraying or printing is carried out at the inner side bottom parts of the bottle caps or the deeply recessed containers. The method can realize high-speed mass tagging on the bottle caps or deeply recessed containers which are generally impossible to be tagged.

The present disclosure provides compositions comprising a diatom and a sensor, including gas detecting compositions, bacteria detecting compositions, explosive degradation product detecting compositions, and neurotoxin detecting compositions. The disclosure also provides methods of identifying the presence of gas, bacteria, explosive degradation products, and neurotoxins utilizing the compositions.

The invention discloses an MR Sensor-based mobile phone state identification method and a mobile phone. The method comprises the following steps of: 1, arranging at least one MR Sensor on the edge of an upper cover of the mobile phone; 2, arranging at least one magnet on the edge of a lower cover of the mobile phone in a way that a magnetic line of force of the magnet can horizontally run through the MR Sensor; 3, folding and unfolding the upper and lower covers of the mobile phone, and performing magnetic field induction detection on the MR Sensor; and 4, feeding a detection signal induced by the MR Sensor back to a central processing unit. The mobile phone capable of performing mobile phone state identification by using the MR Sensor comprises the central processing unit arranged in the mobile phone, and the magnet and the MR Sensor which are at least arranged on the upper and lower covers of the mobile phone respectively, wherein the magnetic line of force of the magnet horizontally runs through the MR Sensor when the upper and lower covers of the mobile phone are folded. The mobile phone is high in identification sensitivity, low in manufacturing cost and convenient to operate; and the method is used for identifying and judging the folding and unfolding state of various mobile phones.

The invention discloses a living body face detection model training method, which is applied to the technical field of artificial intelligence and is used for solving the technical problem that the prediction precision of a model does not reach the standard when a binary classification model is trained through extremely unbalanced positive and negative samples. The method provided by the invention comprises the following steps: acquiring a face picture sample set carrying a label; inputting a normal face image sample and an abnormal face image sample into a living body face detection model to be trained to obtain an original prediction value; correcting the original predicted value of the abnormal face picture sample to obtain a corrected predicted value; taking the corrected predicted value as a predicted value of the abnormal face picture sample, taking an original predicted value as a predicted value of the normal face picture sample, and training the living body face detection model to be trained according to the category to which the corresponding face picture sample identified in the label actually belongs. When a loss function of the living body face detection model converges, the trained living body face detection model is obtained.

The invention relates to the technical field of signal transmission, and discloses a colorful LED display module identified and controlled by infrared gestures; and an integrated LED module system structure is designed according to a colorful LED display module product structure identified and controlled based on infrared photoelectric detecting gestures for intelligent appliances. The colorful LED display module identified and controlled by the infrared gestures comprises 3D modeling design and optical design of an overall shape structure (a light outlet surface contains colorful display diaphragm design and transmitting material design), multi-light source infrared device array model design and LED light source module integrated design; through design of product plastic outer shell and infrared emitting and receiving devices and array fields and research of integrated LED light source modules, the photoelectric testing and the reliability testing are performed on LED modules; and thetesting results are analyzed and returned to guide problems in design of each module so as to research and develop the colorful LED display module identified and controlled based on the infrared photoelectric detecting gestures for the intelligent appliances meeting customer use demands.