34results about How to "Improve accuracy and confidence" patented technology

Polling questions and a fixed set of answers are provided in a first form of media with an expected geographic distribution. A standard graphical user interface with a predefined set of user-selectable icons is provided in a second form of media such as a bidirectional wireless communications device such as a cellular phone. The user interface allows a user to respond to polling questions with a simplified entry such as by scrolling to one of the icons and selecting. Response to a polling question may be confirmed and an incentive may be provided such as a cash or service reward or results of the poll.

Methods and apparatus for processing features sampled and stored in a computing system are disclosed. Pattern recognition techniques are disclosed that facilitate decision making functions in computing systems, such as, for example, vehicle occupant safety systems and data mining applications. The disclosed correlation processing methods and apparatus improve the accuracy of data pattern recognition systems, including image processing systems.

The invention discloses a novel energized arrester tester and an arrester detection method. The novel energized arrester tester comprises an energized arrester tester main machine, an insulating operating rod and a contact type voltage probe, wherein the contact type voltage probe is used for measuring voltage phase data of a tested device and sending the voltage phase data to the energized arrester tester main machine, and the contact type voltage probe is connected to the top end of the insulating operating rod. The contact type voltage probe comprises an outer shielding shell, an internal power source, an electric field sensor and a wireless modulation transmitting device. Due to the fact that the novel energized arrester tester can directly measure an electric field of the surface of a bus connected with an arrester to obtain a voltage phase, make zero-distance contact with a measured position, and is large in signal to noise ratio, a more accurate phase angle can be obtained through the arrester detection method compared with phase angles obtained through other methods, and accuracy and credibility of energized testing of the arrester can be improved; wiring is easy, PT secondary terminals do not need to be opened, a user does not need to worry about an accident caused by wrong wiring, the error of voltage phases of the PT secondary terminals does not need to be taken into consideration, none of test wires needs to get close to a high-voltage wire, and better safety is achieved.

In an intelligent remote control water affair system disclosed by the invention, the data exchange among a city water affair monitoring center, a municipal district water affair monitoring center, a community water affair monitoring center and a data processor is realized by using the 3S technology constituted by a geographic information system (GIS), a global positioning system (CPS) and a 4G communication network, the acquired water affair data are transmitted through a 4G signal tower into the data processor for data fusion processing, and the problems of complicated water affair communication mode at present and high cost are effectively solved. According to the invention, the time, location, water affair operating state can be displayed intuitively in the form of a map on a liquid crystal display screen of the water affair monitoring center, a user can inquire the water affair data within the range of permissions online in real time through a mobile phone APP, can complete operations such as paying the fees in a convenient and fast manner. The acquired data are fused by a weighted average method and then transferred to the water affair monitoring center through the 4G communication network, the transmission of original massive data is avoided, the timeliness and efficiency of data acquisition are improved, and the accuracy and credibility are higher.

The invention discloses a primer pair and kit for distinguishing Channa argus and Channa maculata, and a PCR-RFLP (polymerase chain reaction-restriction fragment length polymorphism) detection method. The primer pair comprises a forward primer and a reverse primer, wherein the polynucleotide sequence of the forward primer is disclosed as SEQ ID NO.1, and the polynucleotide sequence of the reverse primer is disclosed as SEQ ID NO.2. The kit containing the primer pair also comprises a PCR conventional reagent, a Taq DNA (deoxyribonucleic acid) polymerase, a 100*PCR buffer, dNTPs (deoxyribonucleotide triphosphates), a digestion reagent, a 10*buffer, a digestion buffer and an EcoRI restriction enzyme. The invention also discloses a PCR-RFLP detection method for distinguishing Channa argus and Channa maculata by using the primer pair and the kit. The method disclosed by the invention is simple to operate, only needs to cut a small amount of fin rays or muscles on the premise of ensuring the survival of the fish species, quickly and accurately identifies the fish species, enhances the accuracy and reliability of the identification result, and greatly enhances the work efficiency.

The invention relates to systems and methods for diagnosing strokes. In particular, systems and methods for acquiring timely patient status information are described that enable a physician to make diagnostic and treatment decisions relating to ischemic and hemorrhagic strokes. The systems and methods enable the efficient and quantitative assessment of arterial collaterals within the brain for aiding these decisions in the case of ischemic strokes. In the case of hemorrhagic strokes, the systems and methods are effective in determining if there is a leak and what is the rate of leaking. The systems and methods of the invention can be used to improve the accuracy and confidence of ASPECTS.

The invention relates to the field of molecular biology and systematy, and discloses a PCR-RFLP (Polymerase Chain Reaction-Restriction Fragment Length Polymorphism) quick detecting method of common sturgeons, and a primer pair and a kit which are used in the quick detecting method. The PCR-RFLP quick detecting method of common sturgeons comprises the following steps: step 1, extracting genome DNA of a sample to be detected as a template; step 2, carrying out PCR amplification reaction to obtain a PCR product by taking the genome DNA as a template; step 3, carrying out enzyme digestion on the PCR product by using restriction enzyme so as to obtain an enzyme digestion product; step 4, carrying out agarose gel electrophoresis detection on the PCR product and the enzyme digestion product and identifying species according to electrophotogram. The method provided by the invention is simple to operate, and can quickly and accurately realize identification of fish fingerling of common sturgeons only needing shearing less pterygiophore or muscle on the basis of ensuring the survival of the fish sample, so that the, accuracy and confidence level of an identification result are enhanced, and the work efficiency is improved greatly.

The invention discloses a method for dealing with power grid state estimation problems. The method comprises the steps of acquiring power grid operating data; detecting the quality of the acquired power grid operating data to form three levels of additional weight including measurement level, station level and region level, and carrying out superposition on the three levels of additional weight and the initial calculation weight of state estimation measurement data to form the dynamic weight of the state estimation measured data; modifying the initial calculation weight of the state estimation measured data according to a modification state of the dynamic weight, and carrying out state estimation again; and judging the categories of the current state estimation problems, and starting a preset process for dealing with the problems. Due to the reasonable weight set, the accuracy and the credibility of state estimation results are greatly improved; on the basis that the state estimation problems are classified, all the categories of problems are dealt with by the preset process with pertinence, so that the pertinence and the efficiency of the work of operation maintenance workers are improved, and the measurement data quality improvement speed is increased.

The invention discloses an ontology-based user model construction method, which includes the following steps: (1) obtaining relevant information that can reflect user characteristics, preferences and needs; (2) constructing a tourism field ontology; (3) using a similarity algorithm to Classify users; (4) Construct an interest model for each user, and use ontology to represent the user model; (5) Update the user model by adjusting the degree of interest transmission. The present invention collects the basic information of users through web usage logs based on the ontology concept hierarchy tree, utilizes these information and the domain ontology database, uses ontology editing tools to establish domain ontology, classifies users through improved similarity algorithm, and establishes domain ontology for each type of user. User model. Finally, the user interest model is updated by combining the method of interest degree and transmission adjustment, which reduces the difficulty of model construction and has high credibility and accuracy for describing user interest.

The invention discloses a psychological assessment data processing method, device and system and a server. The system at least comprises front-end equipment and a background server. The front-end equipment is used for carrying out psychological online evaluation and management based on a browser, sending data to the background server, receiving a processing result sent by the background server, and displaying and checking the result; the background server is used for preprocessing the received psychological assessment data and storing a processing result into a database; the server is also used for extracting psychological assessment data from the database, combining the psychological assessment data with the user information to carry out multi-dimensional analysis processing, and storinga processing result in the database; and sending the processing result in the database to the front-end equipment. The system is based on a B / S architecture, is low in use cost, is convenient to operate, supports the customization of evaluation contents, and meets the psychological evaluation demands of a user, the user and psychological evaluation management demands of a doctor, and the psychological evaluation data management and analysis demands of a researcher.

The invention relates to an electronic sphygmomanometer capable of automatically calibrating zero point and full scale. The electronic sphygmomanometer comprises a microprocessor, a storer, a pressure detection unit, a pump valve control unit, a button input unit, a display unit and a power source unit, and the storer, the pressure detection unit, the pump valve control unit, the button input unit, the display unit and the power source unit are all connected with the microprocessor. When a user considers that a current measured value is likely inaccurate already, an automatic calibration mode can be started, the electronic sphygmomanometer can automatically calibrate zero point and full scale, and measuring of blood pressure is performed after calibration is completed, so that accuracy and reliability of blood pressure measuring data are improved greatly.

The invention belongs to the technical field of blockchains, and discloses a data processing method and a device based on a blockchain, and a storage medium. The method comprises the steps of receiving a service protocol table transmitted to an Saas layer by a service institution business system; obtaining a default amount intelligent contract and a hash value corresponding to the service agreement table; submitting the default amount intelligent contract and the hash value to a blockchain node corresponding to a service institution business system, so that the blockchain node combines the default amount intelligent contract and the hash value with a timestamp and synchronizes the default amount intelligent contract and the hash value to all blockchain nodes in the blockchain through a first key; and when a litigation request with the service institution is received, reading the default amount intelligent contract according to the litigation request, and forming a litigation data chainaccording to the time dimension. According to the method, the business mechanisms and the trial mechanisms are connected through the blockchain, consensus synchronization is carried out in all nodesin the network, the possibility of tampering business data afterwards is eradicated, and the trial mechanisms can conveniently and directly call evidences from the block chain to carry out verification.

According to the bridge linkage intelligent inspection method and system based on the unmanned aerial vehicle cluster and the cloud platform, the abnormal matching record among the bridge structure distribution information, the image format category and the bridge monitoring inspection angle in the bridge monitoring inspection image can be extracted as a multi-dimensional unmanned aerial vehicle selection basis; in the process of performing unmanned aerial vehicle routing inspection cluster linkage deployment analysis on the to-be-selected routing inspection unmanned aerial vehicle, diversification and richness of linkage deployment analysis basis can be ensured; therefore, the cluster inspection linkage deployment accuracy and credibility of the to-be-deployed inspection unmanned aerial vehicle are improved to a certain extent, so that the to-be-deployed inspection unmanned aerial vehicle can be utilized to perform comprehensive and comprehensive inspection on a specified bridge monitoring area.

The invention relates to an identification kit for circulating tumor cells of breast cancer. The identification kit comprises capturing probes, amplification probes and labeling probes aiming at marker gene mRNAs, wherein the marker gene mRNAs are selected from breast cancer cell marker gene mRNAs selected from at least two of HER2, SCGB2, MUC1 and MGB1, epithelial cell marker gene mRNAs selected from at least one of EpCAM, CDH1, KRT7, KRT8, KRT18 and KRT19, and mesenchymal cell marker gene mRNAs selected from at least one of FN1, CDH2, VIMNETIN, FOXC1 and TWIST1. With the identification kit, the false positive result caused by the factors including non-tumor epithelial cells in the blood and normal epithelial cells introduced in a sampling process is avoided, it is ensured that the cells in which the epithelial cell marker genes and / or mesenchymal cell marker genes are detected are circulating tumor cells of breast cancer, and thus the accuracy and reliability of the detection result are further improved.

The invention discloses a road icing prediction method and system. The road icing prediction method comprises the steps of determining a relation between a meteorological factor and road icing through adopting a correlation analysis method, establishing a road icing influence index equation through combining with the influence of a road vehicle running speed verification factor on the road icing, calculating a national road icing influence index value based on the road icing influence index equation and the value of each parameter in the determined road icing influence index equation, further determining a prediction level of the national road icing influence index value corresponding to the national road icing influence index value, and according to the prediction level of the national road icing influence index, predicting a national road icing influence degree in combination with the predicted meteorological factor information and the actual road condition. According to the road icing prediction method, meteorological factors, road factors and real-time vehicle factor data are comprehensively considered, road icing is predicted based on multi-dimensional data, the accuracy and confidence of the road icing prediction method are greatly improved, and sensors do not need to be arranged on the road surface.

The invention discloses a metering system evaluation method and device and a readable storage medium. The method comprises the steps of screening the energy consumption characteristic information of auser according to a preset keyword, and obtaining a key information item; carrying out energy consumption characteristic measurement and calculation based on the key information item, and determininga corresponding operation state parameter; and performing comparative analysis on the operation state parameter and a preset operation model library based on an output result of the operation state parameter to obtain an evaluation result. By measuring and calculating the key information items, the corresponding operation state parameter can be obtained. The operation state parameter is taken asinput of the preset operation model library, and corresponding output is acquired through the preset operation model library. And finally, the input of the operation state parameter is compared with the corresponding output to obtain the evaluation result of the metering system. Therefore, automatic evaluation of the metering system is realized, and the accuracy and credibility of evaluation and judgment of the metering device are improved.

The embodiment of the invention provides an account number position determination method and device, a server and a storage medium, and the method comprises the steps: obtaining a plurality of piecesof positioning coordinate data of a target ADSL account number, carrying out the clustering of the positioning coordinate data according to the spatial position distribution, and obtaining at least one coordinate data set; and determining whether the data volume of the target coordinate data set is greater than a data volume threshold, the target coordinate data set being a coordinate data set with the largest data volume in the at least one coordinate data set, and if the data volume in the target coordinate data set is greater than the data volume threshold, determining a position coordinateof the target ADSL account according to the target coordinate data set. The position of the ADSL account is determined, and the accuracy and credibility of the obtained position coordinates of the ADSL account are improved.

The invention discloses a method for identifying deer hard antler button effective components for treating mastitis. The method comprises the following steps: S1, setting deer hard antler button extracts with gradient concentration; S2, determining and screening the change level of inflammatory cytokines; S3, determining and screening out an effect peak value, and collecting a treating fluid corresponding to the effect peak value; S4, verifying a single-component peak, and determining the treating fluid with a verified effect peak value; and S5, determining chemical components of the effective components. According to the invention, deer hard antler button is selected, and detailed components are obtained through pretreatment, concentration gradient setting, immunoassay, enzyme-linked immunosorbent assay, real-time fluorescent quantitative PCR detection, immunoblotting analysis, fingerprint map, grey correlation analysis, verification of a single-component peak and non-targeted metabonomics of a liquid chromatograph-mass spectrometer, so that comprehensive judgment of efficacy and accurate identification are realized.

The invention relates to the technical field of cloud computing and online payment, in particular to an online payment information intrusion detection method based on cloud computing and a server. The method comprises steps: service interaction event distinguishing identification analysis is performed on a cloud payment session triggering an intrusion detection condition and an associated cloud payment session; before information intrusion detection is carried out on a cloud payment session triggering an intrusion detection condition, a disturbance service interaction event corresponding to an associated cloud payment session is eliminated, so that the possibility of mistakenly affirming the associated cloud payment session as the cloud payment session triggering the intrusion detection condition is reduced to a certain extent; in a cloud payment session record mingled with various cloud payment session scenes, the precision and credibility of information intrusion detection on the cloud payment session triggering the intrusion detection condition are improved as much as possible.

The invention discloses a single hybrid rice seed variety identification method based on hyperspectrum, and relates to the technical field of key grain crop variety authenticity detection, in particular to a single hybrid rice seed variety identification method based on hyperspectrum. Comprising the following steps: S110, acquiring hyperspectral images of various different varieties of hybrid rice seed samples based on the wavelength of a halogen lamp light source; according to the method, the single-grain images of the rice seeds are extracted through cutting, and the average spectral reflectivity of each type of single-grain seed samples is obtained through complete image calculation, so that the credibility and the accuracy of acquired data are further improved; by utilizing the trained seed variety identification model, the variety of the extracted average spectral information of the hybrid rice seeds can be automatically judged, meanwhile, the variety of various types of hybrid rice seeds needing to be judged can be rapidly identified, meanwhile, the whole process is more rapid and convenient, and lossless judgment is achieved.

The invention discloses an equipment vibration abnormity diagnosis method and system, and the method comprises the steps: collecting a vibration signal of to-be-detected equipment in real time, and carrying out the time-frequency transformation of the vibration signal; extracting feature data of the vibration signal after time-frequency transformation by using a noise reduction auto-encoder; utilizing a self-attention mechanism model to calculate probability values of the to-be-detected equipment in different operation states corresponding to the feature data; and judging whether the vibration of the to-be-detected equipment is abnormal or not according to the probability value. According to the invention, noise coupled by the vibration signal is eliminated by using the noise reduction self-coding module, and the diagnosis result of the vibration signal is obtained by using the self-attention mechanism model, so that the accuracy and timeliness of the equipment abnormality diagnosis result can be effectively improved.

The invention provides a satellite navigation signal synthesis power spectrum deviation calculation method which comprises the following steps: receiving a satellite downlink navigation signal, and collecting the satellite signal; analyzing and processing the collected data, and reproducing an ideal signal corresponding to the actually measured signal; calculating an actually measured signal power spectrum and a theoretical signal power spectrum; and evaluating signal power spectrum characteristics by using the weighted correlation coefficient, calculating a weighted RMS value of a difference curve, calculating a peak-to-peak value of the difference curve, calculating a mean value and a standard deviation of the difference curve, and analyzing the symmetry of the power spectrum. According to the method provided by the invention, the power spectrum characteristics of different types of signals can be evaluated by adjusting different weighting coefficients, and the power spectrum characteristics of the actually measured signals can be intuitively reflected.

A linkage type industrial flow precision measurement method, which solves the problem that in the traditional flow measurement process, the flowmeter is only an isolated device for fluid measurement, without interconnection and interaction with the upstream and downstream processes and surrounding related measurement equipment, resulting in a significant increase in the measurement accuracy of the flowmeter. drop problem. This metering method analyzes the existing flow metering method based on a process-based algorithm, so that the flowmeter can compare the process with the production or operation of the upstream flowing medium closest to the flowmeter during the metering process, and then through the automatic flowmeter in the flowmeter The calibration function calibrates the flow results; then, communicates and interconnects the existing flowmeter with the upstream flowmeter, and performs self-correction; moreover, the shortage of straight pipe sections in the industrial field is considered during the measurement process. The method can be interconnected with other upstream and downstream metering equipment, which can improve the accuracy of industrial flow metering, optimize upstream and downstream production processes, reduce production costs, and improve the level of industrial automation.

The invention belongs to the technical field of target real-time monitoring, and discloses a target real-time monitoring method for an underwater unmanned aerial vehicle. The method comprises the following steps: firstly, placing an unmanned aerial vehicle device in a monitoring target environment and performing initializing, converting the specific position of a monitoring target into data required to be monitored, performing probability density modeling on the data of the monitoring target, further updating the obtained model on deep learning model parameters of the underwater unmanned aerial vehicle; and then changing the position of the monitoring target and continuing the operation in the previous step until the whole monitoring environment parameters are completely integrated, comparing the collected data models, and if the comparison result does not meet the convergence condition, obtaining a Mean-Shift vector through calculation, and adjusting the monitoring data. According to the invention, general monitoring of water area environment water quality parameters and the like can be carried out in time, the problem of great change of monitored target data is solved, and the credibility and accuracy of the monitored data are improved.

The invention provides an input device detection system and method, and the system comprises a pedestal which comprises a bottom plate which is provided with an upper surface, a lower surface, and a detection opening; a frame formed on the upper surface; a first telescopic rod which is formed on the inner edge of the frame and used for pushing and fixing the input device in the horizontal direction; a cover plate which is provided with a second telescopic rod and used for pushing and fixing the input device in the vertical direction; and a track detection plate which is arranged below the bottom plate and is adjacent to the lower surface; wherein the optical sensing module of the input device is used for generating a light beam, the light beam passes through the detection opening and is projected to the track detection plate, and the track detection plate moves relative to the base and reflects the light beam to the optical sensing module, so that the input device generates a track signal. The first telescopic rod and the second telescopic rod are used for pushing the input device, the input device is stably and accurately positioned in the detection area of the base, the input device is prevented from deviating in the detection process, and the accuracy and credibility of the detection result of the input device are improved.

The invention provides a ground wire monofilament mechanical strength comprehensive sensing Internet of Things platform, which comprises a cross-platform kernel data acquisition module, a multi-source heterogeneous data reconstruction module and a sensing data compression module, and is characterized in that the cross-platform kernel data acquisition module is connected with the multi-source heterogeneous data reconstruction module; the cross-platform kernel data acquisition module is used for carrying out whole-course acquisition on data in the mechanical strength detection process of the ground wire monofilament, and the multi-source heterogeneous data reconstruction module is connected with the sensing data compression module; the multi-source heterogeneous data reconstruction module is used for performing format unified processing on the data acquired by the cross-platform kernel data acquisition module in the process of detecting the mechanical strength of the single wire of the ground wire, and the sensing data compression module is used for compressing the data uniformly processed by the multi-source heterogeneous data reconstruction module. According to the invention, data generated by different operating systems can be effectively integrated and processed, and the reliability of data acquisition is improved.

The invention discloses a forest tree species remote sensing fine classification method based on a cloud platform, and relates to the field of forest tree species classification methods. Screening high-quality Sentinel-2 MSI images to form an image set; calculating NDVI, EVI, NDII and NBR of each image in the image set to obtain images of four indexes in space; using a median synthesis function to generate monthly, seasonal and annual synthesis images; calculating topographic factors and adding the topographic factors into the synthetic image; using a random forest to calculate variables with top feature importance ranking; optimizing hyper-parameters of the random forest to obtain an optimal parameter combination, and realizing tree species classification by utilizing the optimized classifiers under different data sets; and verifying and comparing the classifier precision under different data sets to realize forest tree species fine classification and spatial distribution mapping. According to the method, forest tree species fine classification in a large-area mountainous area can be accurately and quickly realized.

The invention relates to the field of estuary area pollutant monitoring, and provides an intelligent comprehensive evaluation method and system for terrestrial source pollutants, and the method comprises the steps: S1, obtaining a pollutant data set and a river flow data set, obtaining the pollution source type of each pollutant through the correlation coefficient of each pollutant data and the river flow data, and obtaining the flux of each pollutant through calculation; s2, pollution factor indexes corresponding to the pollutant data are obtained through calculation, the weight of each pollution factor index is obtained through an analytic hierarchy process, and a comprehensive pollution evaluation level is obtained through calculation according to the weight of each pollution factor index; and S3, taking the pollution factor index and the pollutant flux corresponding to each pollutant data as input, taking the comprehensive pollution evaluation level as output, training an artificial neural network, and applying the trained artificial neural network to comprehensive pollution evaluation of terrestrial pollutants. According to the method, the accuracy and credibility of comprehensive evaluation are improved, and auxiliary decision making is provided in future river treatment.

The invention relates to a hydraulic valve torque motor air gap measurement and performance debugging method. The method comprises the following steps: 1) connecting a port P of a hydraulic valve with high-pressure oil, connecting a port T with an oil tank, and serially connecting a flowmeter to the space between a port A and a port B; 2) taking a low-frequency triangular wave signal with the amplitude being rated current as input current of a torque motor; 3) during the working process of the hydraulic valve, acquiring a hydraulic valve no-load flow characteristic curve in a complete cycle period, sequentially inserting gauss meters in different working air gaps, and repeatedly circulating the current to obtain magnetic induction intensity curves at four air gaps; and 4) according to the distribution condition of the magnetic induction intensity curve at each air gap, judging the air gap error form of the corresponding air gap, judging whether zero offset meets requirements in combination with the hydraulic valve no-load flow characteristic curve, adjusting each air gap of the torque motor, and completing performance debugging. Compared with the prior art, the measurement method of the invention is simple, and has the advantages of good operability, high accuracy and high efficiency.

The invention provides a service file processing method and device, and relates to the technical field of internet finance, and the method comprises the steps: receiving an uploaded service file which carries a plurality of pieces of service data; extracting key value information of the uploaded service file; inserting the key value information of the uploaded business file into the check registration form; under the condition that the insertion is successful, determining that the uploading is not repeated, and triggering to carry out batch data processing on the service data in the uploaded service file; and under the condition of insertion failure, determining that suspected repeated uploading exists, and performing suspected repeated entry alarm. According to the scheme, whether the business data is repeatedly uploaded or not is determined before batch processing, so that the technical problem of repeated entry caused by repeated uploading in the existing batch file uploading can be avoided, and the technical effects of effectively avoiding repeated entry and improving the accuracy and credibility of the data are achieved.