81results about How to "Efficient distinction" patented technology

The invention discloses a nursing home old man dangerous act monitoring method. The problems of low old man tracking accuracy, poor behavior analysis effect, frequent behavior recognition algorithm calling, large system load, excessive dependence on device performance of a monitoring effect and the like in the prior art are overcome. The method is characterized in that a monitoring camera, a video capture card, a personal PC machine, a display and an alarm sound box are used to be combined with a contour detection program module, a tracking program module and a behavior recognition program module in the personal PC machine; and the method based on the combination of target tracking and behavior recognition monitors the movement states of old men in a nursing home in daily life and gives an alarm due to the risks and the abnormal behaviors of the old men. The method has the advantages of high monitoring efficiency, high old man behavior recognition degree, low operation cost and good practicability and application prospect.

The invention relates to an unmanned vehicle time sharing renting system comprising an on-board terminal, a user intelligent terminal, and a management platform. The on-board terminal is used for data communication with the management platform by a mobile terminal mobile Internet, and the user intelligent terminal is used for data communication with the management platform. The user intelligent terminal is used to realize vehicle use, order canceling operation, vehicle return operation, automatic charging operation, and vehicle operation track data recording and storing operation of a user, and the management platform is used to acquire vehicle violation information of a vehicle by an application program third-party interface, and is used to process an accident, and in addition, the management platform is capable of discriminating different time periods effectively, and then a vehicle idleness ratio is reduced to the lowest point.

The invention discloses an InDel molecular marker KB2 co-separated with a brassica rapa clubroot resistance gene Crrla, a primer and application thereof. The invention further provides a method for identifying or auxiliarily identifying whether a brassica rapa contains the clubroot resistance gene Crrla or not, and whether the brassica rapa is capable of resisting a clubroot disease or not. The method comprises the steps that a to-be-detected brassica rapa genome serves as a template, the primer provided by the invention is subjected to PCR amplification, and whether the to-be-detected brassica rapa contains the clubroot resistance gene Crrla or not and whether the brassica rapa can be capable of resisting the clubroot disease or not are judged according to the size of an amplification product. The molecular marker is utilized to conduct auxiliary selection on the clubroot resistance brassica rapa, the accuracy is high, the cost is low, and both time and labor are saved.

The invention discloses a fuel control method for a fuel water heater. The fuel control method includes the following steps: S1, powering on and starting up the fuel water heater and igniting for combustion; S2, determining whether calculation of a combustion heat value corresponding to fuel is needed or not, if yes, entering S3, and if not, executing a default combustion program of the fuel water heater and entering S6; S3, calculating a combustion heat value in stable combusting; S4, selecting a proper combustion parameter according to the combustion heat value; S5, executing the combustion program corresponding to the combustion parameter; S6, starting a subsequent normal control program of the fuel water heater. By the fuel control method, different kinds of gas sources of the fuel and difference, of the same kind of gas source, caused by areas or using time can be differentiated, and proper combustion parameters can be adopted correspondingly, so that the fuel can be combusted more fully.

The invention aims to solve the problem that methods which can distinguish surrounding rock and ore, recognize different types of ore and determine iron ore types on site, in situ, in real time, quickly and efficiently through aerial remote sensing detection of iron ore areas do not exist in the prior art, provides an Anshan type iron ore type determining method based on spectral features and belongs to the technical field of mining geology and remote sensing application. According to the method, visible light-near infrared spectrum tests are conducted on different surrounding rocks and different types of iron ores, the spectral features are analyzed, ore distinguishing models are established according to the spectral features, the ground is scanned by using aerial remote sensing to be divided into small grids, each small grid is scanned by a visible light-near infrared spectroscopy or samples are taken on site and scanned by the visible light-near infrared spectroscopy, and real-timedistinguishing of surrounding rocks and ores, recognition of different types of ores as well as recognition of different types of ores on site and in situ through aerial remote sensing can be realized.

This invention is method for applying the image of the vehicle number plate in charging system of hi-way. The method takes out the image of the vehicle number plate among the entrance images and transfers it into image data of "two values" with unitary magnitude through normalization and processing of "two values" and writes these data into pass card. This method is mainly used in charging systems of hi-way, residence areas and in parking administration and city check-post control, etc. Once the charging person at exit finds the vehicle number plate being not consistent with that at entrance, an alarm information will be given. The advantages of present invention are that the method transfers an information of vehicle number plate into the information of image data of "two values" so as to be used in charging system of hi-way, so that irregularities in charging system such as "exchanging card", "reselling card" can be prevented.

The invention belongs to the technical field of Internet of Vehicles and communication security, and relates to a vehicle intrusion detection system and method based on a Hybrid EfficentNet model, and the system is obtained by training the Hybrid EfficentNet model. Wherein the Hybrid OfficientNet model comprises an initial convolutional layer, a backbone network, a self-adaptive global pooling layer, a Flaten layer, a discarding layer, a hidden layer and a classification layer; the backbone network is composed of one Fusion MBConv module and 15 MBConv modules, and each MBConv module comprises an expansion layer, a depth separable convolution module, a channel and space attention mechanism and a projection layer; residual connection is used in the MBConv module; the system has excellent capability of detecting abnormal traffic, realizes high accuracy, high-efficiency processing capability and high response speed, meets the requirement of convenient operation in a vehicle environment, and effectively solves the technical problems that an existing intrusion detection model is complex and inconvenient and cannot be directly deployed in a resource-limited vehicle-mounted network environment.

The invention provides a flatness testing and distinguishing device for a network transformer, which relates to the technical field of testing equipment and includes a frame, a first guide rail installed obliquely on the frame, a detection mechanism arranged in the frame, a fixed The material guide trough connected to the upper end of the first material guide rail, the discharge chute fixedly connected to the lower end of the first material guide rail, the PLC controller installed inside the frame and the control panel installed on the surface of the frame, the first material guide There is a worktable in the middle of the rail, and the detection mechanism is located on both sides of the workbench. The discharge chute includes the first discharge chute and the second discharge chute. Fixedly connected with the second guide rail extending to the bottom of the movable plate, the guide rail is equipped with an air blowing device that can spray air in the feeding direction, PLC controller and detection mechanism, material guide groove, control panel, workbench, and discharge Groove, activity board connection. The invention can accurately and efficiently distinguish the blanking while improving the detection precision.

The invention relates to a protein post-translational modification positioning method. On the basis of original primary and secondary mass spectrum data base searching, loci of protein post-translational modification are determined by feature matching ions, and high efficiency and accuracy in distinguishing of position isomerism or combination isomerism of post-translational modification of different proteins can be realized by the aid of characteristic ions during protein identification and data base searching of mass spectrum data, so that protein post-translational modification positioning is realized. Compared with the prior art, the method has the advantages that accuracy in high-throughput protein post-translational modification positioning is remarkably improved, comprehensive post-translational modification identification results can be acquired, and protein post-translational modification loci are determined accurately. In addition, the method is applicable to high-throughput proteome analysis and especially applicable to accurate structural identification and efficient analysis of tandem mass spectrums and spectrums with a great quantity of post-translational modification proteins (such as proteomes and the like).

The invention discloses a molecular marker MboII-37 for indicating and identifying watermelon pulp color and application and belongs to the technical field of molecular biology. The fragment size of a PCR product amplified by the molecular marker is 787bp, and the nucleotide sequence is as shown in SEQ ID NO.1. The CAPS molecular marker has universality in different materials and can identify watermelons in the watermelon seedling stage, the operation is simple and convenient, and the result is definite. The molecular marker can be used for molecular marker-assisted selection of high lycopene of watermelon in future, and the breeding work efficiency is improved.

The invention discloses an object detection and classification method based on ultrasonic acoustics. Mobile equipment is allowed to transmit vibration through sound when in contact with the surface ofan object, so that sound signals are captured from a microphone generated and reflected by a vibration platform; and by training a classification model of specific object data, the system can identify the surface of a material, and can finally identify the object itself at a specific location. The scheme of the invention is built on the IPhone and tested on ten objects, and the detection accuracycan reach more than 90%.

The invention discloses a molecular marker for distinguishing Heilongjiang megalobrama terminalis from southern megalobrama fishes, a kit and a distinguishing method, and relates to the molecular maker for distinguishing the megalobrama fishes and application of the molecular marker. A primer pair of the molecular marker can be HLJFLf1 and HLJFLr1. The kit comprises molecular marker primer pairs HLJFLf1 and HLJFLr1. The distinguishing method comprises the following steps: extracting fin rays DNA; 2, performing PCR amplification by using the HLJFLf1 and the HLJFLr1 as primers; 3, performing enzyme cutting on a PCR product by utilizing restriction endonuclease; 4, performing electrophoresis, wherein an electrophoresis result shows that corresponding individuals of double straps 200bp and 180bp are Heilongjiang megalobrama terminalis. According to the method disclosed by the invention, representative geographical population of the Heilongjiang megalobrama terminalis from the southern megalobrama fishes can be quickly, effectively and stably distinguished under a situation of no cross breeding.

The invention discloses a GC-IMS pear production place distinguishing method based on an aromatic substance fingerprint spectrum. According to the invention, a headspace gas chromatography-ion mobility spectrometry instrument is used for detecting pears from different producing areas; GC-IMS sample data are obtained; the GC-IMS sample data is subjected to statistical analysis through LAV analysissoftware and GC * IMS Library Search Software qualitative software of the instrument, and GC-IMS fingerprint spectrums of volatile aroma components of the pears from all production places are obtainedfor distinguishing the production places of the pears. The GC-IMS technology is applied to collection and trace analysis of complex aroma substances in the pears from different producing areas, comprehensive fingerprint information is provided for distinguishing the producing areas of the pears, rapid and accurate distinguishing of the producing areas of the pears from different producing areas is achieved, and theoretical basis and data support are provided for identifying and tracing the producing areas of the pears.

The invention discloses a molecular marker MboII-40 for indicating and identifying watermelon pulp color and application and belongs to the technical field of molecular biology. The fragment size of a PCR product amplified by the molecular marker is 618bp, and the nucleotide sequence is as shown in SEQ ID NO.1. The CAPS molecular marker has universality in different materials and can identify watermelons in the watermelon seedling stage, the operation is simple and convenient, and the result is definite. The molecular marker can be used for molecular marker-assisted selection of high lycopene of watermelon in future, and the breeding work efficiency is improved.

The invention provides a document anti-copying method and system based on image scrambling. According to the method, the secret mark watermark subjected to the image scrambling operation is added intothe document, so that whether the document is an original document or not can be quickly recognized and the document number can be quickly inquired through equipment such as a mobile phone and a detector, related information of the document can be inquired in a database, and efficient management of the paper document is realized. According to the scheme, a secret mark watermark method is combined, the scrambled image serves as the secret mark watermark to be added into the original document, the secret mark watermark disappears after the original document is copied, and people distinguish theoriginal document from the copy document by detecting whether the secret mark watermark exists or not. According to the method, special paper or special ink does not need to be adopted, the functionsof copy prevention and rapid verification of the documents can be achieved only by printing the specific secret mark watermarks in the documents together in the document printing or printing process,and the automation degree of document management is improved.

The invention discloses a molecular marker BanII-1 related to muskmelon powdery mildew resistance and application thereof and relates to biomolecular markers and application thereof. The application includes following steps: (1), extracting a to-be-detected muskmelon genome; (2), by taking the genome as a template, utilizing molecular marker primer for PCR (polymerase chain reaction) amplificationto obtain a PCR product; (3), performing enzyme digestion on the PCR product to obtain an enzyme digestion product; (4), utilizing agarose gel electrophoresis to identify the enzyme digestion product, and judging a to-be-detected muskmelon plant as a muskmelon single-capsule-shell powdery mildew resistant 2F physiological race or a muskmelon single-capsule-shell powdery mildew nonresistant 2F physiological race. The molecular marker has universality in different materials, and the application is simple and convenient in operation and clear in result. Through a molecular marker assisted selection method, assisted selection of muskmelon powdery mildew resistance at the seedling stage of muskmelon can be realized, and breeding efficiency is improved greatly while breeding cycle is shortened.

The invention discloses a molecular marker for indicating and identifying the character of an orange pulp of a melon, and a primer and application thereof and belongs to the technical field of molecular marker assisted selection breeding of the melon. The molecular marker HF is shown as SEQ ID NO.1, wherein the melon is identified as the melon with the orange pulp if the No.640 locus basic group m of the nucleotide sequence shown as SEQ ID NO.1 is G. The invention also provides the primer of the molecular marker HF and a method for utilizing the primer to identify the character of the orange pulp of the melon. According to the identifying method, the assistant selection can be performed on the color of the melon pulp in the seedling stage of the melon; the operation is simple and convenient, and the result is clear; the breeding efficiency is greatly increased, and the breeding cycle is shortened; and the breeding efficiency is increased. The molecular marker HF, the primer pair thereof and the identifying method can be used for molecular marker assistant breeding for the melon, assistant identifying and assistant breeding for the character of the pulp of the melon and screening for the character of the pulp of the melon.

The invention discloses a spectral domain graph convolution 3D point cloud classification method based on Fourier transform, and the method comprises the steps: carrying out the geometric sampling ofan inputted original point cloud through a G-Point Net network model: setting an angle threshold value V, dividing points with neighborhood included angle values larger than an angle threshold V intoa geometric feature area G, and dividing the remaining points into other areas T; sampling to obtain point cloud of each area; introducing an expansion rate E based on a Dynamic KNN local graph construction method, and selectively establishing a local geometric graph every other E neighbor point clouds. Spectral domain graph convolution is carried out by using a spectral domain graph convolution method based on Fourier transform to obtain a plurality of pooled graph local features, global features are obtained through GPoint Net for classification, and a classification result is obtained. According to the method, the problem of non-uniform distribution of point cloud density is effectively solved, spatial geometric information is reserved, edge points of the point cloud can be efficientlydistinguished, meanwhile, noise points are separated, and the classification precision is improved.

The invention relates to a long-chain non-coding RNA marker for early diagnosis of malignant melanoma and application thereof. The long-chain non-coding RNA marker is Linc01296 with a corresponding DNA sequence as shown in SEQ. ID. NO. 1. The application is an application of the long-chain non-coding RNA marker Linc01296 in the preparation of an early diagnosis reagent for malignant melanoma as atarget RNA. According to the invention, lcnRNA, Linc0126, with abnormal expression in serum of malignant melanoma is successfully screened, and expression of Linc01296 is significantly high in the serum of malignant melanoma patients. In addition, Linc01296 can effectively distinguish malignant melanoma patients from healthy people and patients with benign skin moles. The marker has high sensitivity and specificity, wherein the sensitivity can reach 84.69%, the specificity can reach 88.77%, and the marker has high diagnostic characteristics.

The invention discloses an HRM primer, a kit and a method for rapidly identifying bactrocera cucurbitae and South Asia fruit flies. The method comprises the steps of firstly, designing and synthesizing a HRM specific primer for distinguishing two kinds of fruit flies based on mitochondrial genomes of bactrocera cucurbitae and South Asia fruit flies; respectively extracting genome DNAs of bactrocera cucurbitae and South Asia fruit flies; carrying out high-resolution real-time fluorescent quantitative PCR analysis by taking the extracted DNAs as templates and EvGreen as a dye; and distinguishingtwo types of bactrocera cucurbitae according to peak difference of melting temperature curves. According to the invention, the problem of rapid identification of two kinds of bactrocera cucurbitae and South Asia fruit flies which are co-hosted and have similar larvae is solved; the HRM method for identifying the two kinds of bactrocera cucurbitae based on mitochondrial genes is established; bactrocera cucurbitae and South Asia fruit flies which are mixed on melon vegetables can be quickly, efficiently and simply distinguished; and the HRM primer, the kit and the method have the advantages ofhigh accuracy, high flux, good repeatability and low cost.

The invention discloses a workpiece attaching machine which comprises a worktable, a movement control system, an X-axis feeding mechanism, a Y-axis feeding mechanism, a Z-axis lifting mechanism and a material picking mechanism. The material picking mechanism freely moves on the worktable in the three-dimensional direction through the joint action of the X-axis feeding mechanism, the Y-axis feeding mechanism and the Z-axis lifting mechanism. The movement control system is electrically connected with the X-axis feeding mechanism, the Y-axis feeding mechanism, the Z-axis lifting mechanism and the material picking mechanism. The worktable comprises an assembly area and a feeding area. A plurality of feeding rails used for conveying parts are distributed on the feeding area at intervals, and the end, outside the worktable, of each feeding rail is connected with one vibration plate. A first vision sensor is arranged on the feeding area, and a second vision sensor is arranged on the assembly area. The workpiece attaching machine further comprises a processor, and the first vision sensor and the second vision sensor are both electrically connected with the movement control system through the processor.

The invention discloses a molecular marker TJcM02 for identifying separate flowers of muskmelons and an application thereof. In order to solve the problems in breeding of existing unisexual female flower muskmelons, for example, long time, low efficiency and high cost, the invention provides the molecular marker TJcM02 for identifying separate flowers of muskmelons and special primers. Through a polymerase chain reaction, unisexual female flowers and non unisexual female flowers are differentiated in the early stage of muskmelon plants, so that the molecular marker has the advantages of good specificity and high accuracy, and is not affected by environment.

The invention discloses an oryza sativa L. grain shape gene GL3 functional marker (GL3-FM). The oryza sativa L. grain shape gene GL3 functional marker can be applied to identification of oryza sativaL. grain shape improvement and / or of assisted selection of filial generations; single rice plants with amplified fragments incapable of being incised by a restriction enzyme of AflIII carry short-grain-shape GL3-1 alleles; plants with the amplified fragments incised by the AflIII and forming two bands contains GL3-2 alleles capable of inducing grain length increase. The oryza sativa L. grain shapegene GL3 functional marker can be applied to rapid screening of long-grain rice seeds and identification of GL3 alleles to improve the selection efficiency of rice varieties.

The invention discloses a nursing home old man dangerous act monitoring method. The problems of low old man tracking accuracy, poor behavior analysis effect, frequent behavior recognition algorithm calling, large system load, excessive dependence on device performance of a monitoring effect and the like in the prior art are overcome. The method is characterized in that a monitoring camera, a video capture card, a personal PC machine, a display and an alarm sound box are used to be combined with a contour detection program module, a tracking program module and a behavior recognition program module in the personal PC machine; and the method based on the combination of target tracking and behavior recognition monitors the movement states of old men in a nursing home in daily life and gives an alarm due to the risks and the abnormal behaviors of the old men. The method has the advantages of high monitoring efficiency, high old man behavior recognition degree, low operation cost and good practicability and application prospect.

The invention provides a ground target reality sense simulation method in a remote sensing scene, and solves the problems of insufficient two-dimensional space texture information and complexity of three-dimensional modeling of existing remote sensing data simulation in a remote sensing ground space simulation stage. The method comprises the following steps: 1) inputting simulation parameters; 2)selecting a target generation network; 3) adaptively generating a scene target according to the selected generation model; 4) performing significance segmentation on the generated remote sensing target, and extracting a corresponding mask; 5) performing scale transformation and direction rotation on the generated remote sensing target and the extracted mask according to the input parameters; 6) performing Poisson fusion on the remote sensing target and the target mask in the step 5) in combination with a remote sensing background scene, 7) performing climate feature mapping according to inputtime and climate parameters, and 8) outputting a simulation result of a virtual target in a final real scene.

The invention relates to a deep learning-based Hamp; the invention discloses an E image ovarian cancer polyploid tumor giant cell (PGCCs) detection method. The method comprises the steps of specific data set construction, image annotation and data division, feature learning and optimization by using an OCDet model, and model training and evaluation. The method comprises the following steps: firstly, establishing a Hamp containing PGCCs; and E, dyeing the image data set, then accurately marking the image and dividing the image into training, verification and test sets. The OCDet model takes CSPDarkNet as a core, combines an ECA mechanism, and focuses on deep learning and recoding of pathological semantic features. By training a data set, the model performs parameter updating and optimization through back propagation and gradient descent to identify PGCCs features. The verification set is used for model optimization, and the test set is used for evaluating model performance. According to the automatic detection technology, doctors can be helped to improve the diagnosis efficiency and reduce errors, important reference is provided for clinical treatment and prognosis evaluation, and remarkable clinical application value is shown.

The invention provides a method and equipment for identifying passwords. The method comprises the following steps of identifying to obtain key codes corresponding to the input of each digit of password, wherein the key codes comprise a first key code or a second key code. The method has the advantages that when all identified digits of password correspond to the preset combination of first key code and / or second key code, the input correctness of the password is judged, so as to solve the problem of false input because multiple press keys corresponding to the key codes are set on the screens, especially smaller screens, the area of each press key is smaller, the user difficultly identifies, and the other press keys are falsely touched; in addition, if the press keys are not set on the screen, the confidentiality of the password is improved, and the problem of low confidentiality of conventional digit and / or aliphatic passwords is solved.

The invention discloses a method for rapidly distinguishing production places of jasmine-fragrance grapes based on GC-IMS fingerprint spectrums. According to the method, a headspace gas chromatography-ion mobility spectrometry combined instrument is adopted to detect the jasmine-fragrance grapes from different producing areas to obtain GC-IMS sample data, the GC-IMS sample data is subjected to statistical analysis through LAV analysis software and GC * IMS Library Search Software qualitative software of the instrument, and the GC-IMS fingerprint spectrums of the volatile aroma components of the jasmine-fragrance grapes from various producing areas are acquired so as to distinguish the producing areas of the jasmine-fragrance grapes. According to the invention, the GC-IMS technology is adopted to perform collection and trace analysis on the complex aroma substances in the jasmine-fragrance grapes in different production places, so comprehensive fingerprint information is provided for production place distinguishing of the jasmine-fragrance grapes, the rapid and accurate distinguishing of the jasmine-fragrance grapes in different production places is achieved, and the theoretical basis and the data support are provided for the production place identification and the source tracing of the jasmine-fragrance grapes.

The invention provides a nucleic acid product, a kit and a method for detecting a coriolus versicolor variety. The nucleic acid product is used for detecting an SNP (Single Nucleotide Polymorphism) site of coriolus versicolor, the SNP site is located at the 1835th site in a GenBank sequence with the login number of AY309016.1, and a deoxynucleotide base of the site is T. Through research, it is found that coriolus versicolor and species with confused shapes can be rapidly and efficiently distinguished by detecting the SNP sites. Specifically, when the basic group of the SNP site is T, the sample to be detected can be identified as the coriolus versicolor, and when the SNP site is other basic groups, it can be determined that the sample to be detected does not belong to the coriolus versicolor.

The invention discloses a molecular marker KpnI-1 for indicating and identifying watermelon pulp color and application and belongs to the technical field of molecular biology. The fragment size of a PCR product amplified by the molecular marker is 517bp, and the nucleotide sequence is as shown in SEQ ID NO.1. The CAPS molecular marker has universality in different materials and can identify watermelons in the watermelon seedling stage, the operation is simple and convenient, and the result is definite. The molecular marker can be used for molecular marker-assisted selection of high lycopene of watermelon in future, and the breeding work efficiency is improved.