71results about How to "Reduce statistical error" patented technology

The invention discloses a method for decomposing multiple spectral peaks during radioactive measurement, and the method comprises the following steps: firstly, performing background rejection on an energy spectrum acquired from radioactive measurement, thereby acquiring a net count of overlapped peaks of a to-be-decomposed spectrum section; secondly, normalizing the acquired net count of the overlapped peaks, taking normalized data as a probability density function and generating a random number which complies with the distribution of the probability density function; thirdly, establishing aninitial Gaussian mixture model of the probability density function; and finally, performing iterative operation on the generated random number by adopting an expectation maximizing method till achieving convergence, updating parameters of the Gaussian mixture model and acquiring a final value, thereby finishing decomposing the overlapped peaks. The method is high in decomposing precision and is an effective method used for quantitative and qualitative analysis on radionuclide.

The invention discloses terminal equipment and a network flow calculation method and system based on the terminal equipment. The method comprises that a network data packet through a network driving interface standard intermediate layer is grabbed; protocol analysis is carried out on the grabbed network data packet is according to a preset protocol set, and protocols used by the grabbed network data packet are obtained; the header of the grabbed network data packet is parsed by utilizing the obtained protocols, and flow of the grabbed network data packet is obtained; and the sum of flows of all grabbed network data packets is calculated to obtain the network flow of the terminal equipment. Thus, the calculation error of the network flow can be reduced, and the calculation precision of the same is improved.

The invention discloses a method and a device for valuing a <220>Rn concentration reference level by utilizing a low pressure scintillation chamber. The device consists of a <220>Rn chamber, a flow meter, a regulating valve, a filter, the scintillation chamber, a scintillation chamber measurement device, a vacuum meter and a sampling pump. The method comprises the following steps of: in measurement, opening the sampling pump, and regulating the regulating valve to circulate air containing <220>Rn in a loop at a certain flow rate, thereby balancing the <220>Rn in the scintillation chamber and the <220>Rn in a measurement environment, wherein an air pressure in the scintillation chamber is P which is lower than an atmospheric pressure; then starting a scintillation chamber measurement system, performing counting for the counting time T of 5 to 30min to obtain a count N of which a unit time background count is N0 by using the scintillation chamber measurement device, and converting <220>Rn concentration under the next atmospheric pressure in the scintillation chamber; and performing reverse calculation to obtain the <220>Rn concentration in air by combining the circulation time delayof the <220>Rn in a pipeline and the scintillation chamber.

The invention discloses a mileage statistic method based on a GPS (global positioning system). The mileage statistic method is used for acquiring information of moving speed of equipment in every second and calculating moving mileage of the equipment every second, wherein the mileage statistic method comprises the following steps: a, confirming whether the equipment is under a moving state or a static state; b, accumulating the travelled distance of the equipment under a motion state; and c, and making mileage compensation to the displacement generated when the equipment is under a static state. By continuously and repeatedly judging the moving speed of the equipment and conforming the moving state of the equipment, mileage accumulated errors caused by the phenomenon of position shift since the GPS obtains coordinate when the equipment is under the static state can be effectively avoided. Compared with the 10 percent of mileage statistic errors in the prior art, the method disclosed by the invention has the advantages that people can obtain more accurate mileage statistic information, and the errors are reduced to about 5 percent.

A method for determining a suction mass flow of a gas turbine is provided. A turbine inlet pressure, a combustion chamber pressure loss and a pressure loss between an environment and a compressor inlet are determined as input parameters. For each input parameter a provisional value for the suction mass flow is ascertained and for each provisional value a validated value by cross-balancing with the other provisional values is ascertained. A characteristic quantity of the suction mass flow of the gas turbine is generated as an average value from the validated values. The suction mass flow is determined without solving energy balances, without information relating to a fuel calorific value, and without information relating to a fuel mass flow.

The invention discloses an accelerator X-ray dosage monitoring device in an X-ray radiation imaging system. The X-ray radiation imaging system comprises an accelerator X-ray source, a collimator for collimating X rays and a detection probe. The X-ray dosage monitoring device comprises an X-ray dosage monitoring probe, wherein X-ray dosage measured by the detection probe is corrected according to the X-ray radiation dosage monitored by the X-ray dosage monitoring probe. The X-ray dosage monitoring probe is arranged on at lease one side of a collimating slit of the collimator and is used for monitoring the dosage of the X rays radiated from an accelerator; and by changing the positions of dosage monitoring points, the dosage monitoring probe is arranged on the collimator, the monitoring probe is close to an accelerator target spot and the dosage rate of the accelerator received by the monitoring probe is high, so that data has high statistic properties. Simultaneously normal beams are not blocked, so the statistic properties of probe data of the detection probe are not reduced.

The invention provides a random noise correction method and device. The method includes the steps of collecting scanning data of a detector to obtain an immediate chordal graph, a delay chordal graph and a single photon counting rate, obtaining a distribution chordal graph according to the single photon counting rate, distributing data sum of the delay chordal graph to the distribution chordal graph to obtain a random chordal graph, and utilizing the random chordal graph to correct the immediate chordal graph to obtain a correction chordal graph. The random chordal graph is generated by the distribution chordal graph obtained through the delay chordal graph and the single photon counting rate, the delay chordal graph is small in system error, the distribution chordal graph is small in statistical error, and therefore the random chordal graph obtained through the delay chordal graph and the distribution chordal graph is small in system error and statistical error and the correction chordal obtained through correction of the immediate chordal graph through the random chordal graph is small in system error and statistical error.

A sensing device applied to an analyte molecule of a liquid sample and a buffer flow has at least one first inlet, at least one second inlet, a micro-flow channel, and at least one immobilization element. The first inlet is for inputting the liquid sample. The second inlet is for inputting the buffer flow. The micro-flow channel communicates with the first inlet and the second inlet. The immobilization element is for immobilizing sensing molecules for the analyte molecules. The analyte sample flow and the buffer flow, in the reverse direction, in the micro-flow channel enable the association and disassociation kinetics to be obtained. The present invention further provides a sensing system and a sensing method using the sensing device.

The invention discloses an intelligent financial decision big data analysis system which comprises a financial information acquisition module, an information screening and dividing module, an investment assessment module, a risk storage database, a financial checking module, a financial analysis module, a local storage database, a decision server and an early warning display terminal. The financial information obtaining module is connected with the information screening and dividing module and the financial checking module. wherein the investment assessment module is respectively connected with the information screening and dividing module and the risk storage database, the financial analysis module is respectively connected with the financial checking module and the local storage database, and the decision server is respectively connected with the investment assessment module, the financial checking module, the financial analysis module, the local storage database and the early warning display terminal. Risk assessment is carried out on enterprise finance, reliable prevention measures are provided, overall planning of the finance is achieved, reliable decision analysis and guidance are provided for management personnel in the aspect of financial management, and risks in the enterprise development process are reduced.

This invented public phone questionnaire automatic operation method and its system can random and automatically draw telephone number to be inquired, automatic dial, ask questions and automatically sort and sum up to get the investigation result which comprises database server, phonetic server, phone network, information receiving terminal made up of handheld phones, maintenance station and LAN.

The invention relates to an image processing method and device, electronic equipment and a storage medium, and the method comprises the steps: carrying out the feature extraction of a to-be-processedimage, and obtaining a first feature map of the to-be-processed image; according to the dimension information of the first feature map and a preset splitting rule, splitting the first feature map intoa plurality of first sub-feature maps, wherein the dimension information of the first feature map comprises the dimension of the first feature map and the size of each dimension; normalizing the plurality of first sub-feature maps to obtain a plurality of second sub-feature maps; and splicing the plurality of second sub-feature maps to obtain a second feature map of the to-be-processed image. According to the embodiment of the invention, the statistical error during normalization of the complete feature map can be reduced.

The invention relates to a Kinect-based night vehicle flow statistic and vehicle model identification method. According to the method, a kinect depth image and a virtual coil algorithm are combined; the Kinect depth image is pre-processed, so that a moving target depth image and a hole depth image are obtained; a virtual coil is set; an integral image is utilized to generate corresponding one-dimensional signals in the range of the virtual coil; weighted combination is performed on the one-dimensional signals, so that the expression of vehicle motion characteristics is obtained, and counting is performed; in the range of combined counting signals, calculation is performed on the basis of the moving target depth image and the hole depth image, so that the geometric characteristics of a vehicle target are obtained; and the size model of the vehicle is effectively identified through an SVM (support vector machine). With the Kinect-based night vehicle flow statistic and vehicle model identification method of the invention adopted, vehicles can be better detected, and vehicle flow can be better put into statistics, the problem of inaccurate statistics caused by a condition that the night characteristics of color images are few in the prior art can be solved, complicated characteristic extraction and tracking can be avoided, and operation time can be reduced. The Kinect-based night vehicle flow statistic and vehicle model identification method has the advantages of low cost, easiness in maintenance, high real-time performance and the like.

A sensing device applied to an analyte molecule of a liquid sample and a buffer flow has at least one first inlet, at least one second inlet, a micro-flow channel, and at least one immobilization element. The first inlet is for inputting the liquid sample. The second inlet is for inputting the buffer flow. The micro-flow channel communicates with the first inlet and the second inlet. The immobilization element is for immobilizing sensing molecules for the analyte molecules. The analyte sample flow and the buffer flow, in the reverse direction, in the micro-flow channel enable the association and disassociation kinetics to be obtained. The present invention further provides a sensing system and a sensing method using the sensing device.

The invention relates to a ticket booking prompting method and device, and belongs to the technical field of network. The method comprises the steps that the current geographical location of a user and the current time point are acquired; the geographical location and the current time point are matched with the traveling habits of the user; and a prompting message is displayed when the geographical location is within the preset geographical range of a specific place of departure and the current time point is within the preset time range of specific departure time information. The traveling habits of the user are acquired and the traveling requirement of the user is judged according to the current geographical location of the user and the current time point, and the prompting message is displayed in advance when the user is ensured to have the traveling requirement so that the user can be prompted when the user forgets to book the ticket, the user is enabled to timely book the ticket, the problems that the ticket is unavailable and traveling cannot be realized due to the fact that the user forgets to book the ticket in advance can be avoided, and thus flexibility can be enhanced.

The invention discloses a plant disease resistance evaluation method, a root injuring method and an inoculation method and belongs to the technical field of plant disease resistance evaluation. The root injuring method comprising the following steps of planting seedlings processed via disinfection and immersion into culturing substrate in a seedling nursing bag, making the seedlings grow via fertilizing application and daily care till the required size, taking the seedling nursing bag out of the culturing substrate arranged outside the bag, wherein the culturing substrate is cultured outside the seedling nursing bag; the seedling nursing bag is weaved by non-woven fabric; the root parts of the plants are exposed out of the seedling nursing bag and grow in the culturing substrate outside the seedling nursing bag; water is watered outside the seedling nursing bag; and the roots exposed out of the seedling nursing bag are pulled apart and root injury is finished. Root injury steps are simplified by the use of the method, effects on plant growth by root injury are reduced, and evaluation result for disease resistance cannot be affected.

A method of collecting message advertisement points comprises the following steps: receiving the message with the advertisement sent by a message server; identifying the advertisement in the message and recording the advertisement point events in the advertisement in real-time; back-feeding the advertisement points to the advertisement server in real-time. Further, the invention provides a system and apparatus for collecting message advertisement points. The embodiment of the invention reports the advertisement points to the advertisement server in real-time, reduces the advertisement point statistical error caused by time difference. Further, the invention avoids the condition of not collecting the advertisement points caused by power off of the terminal user and collects the advertisement points in real-time and avoids the condition of not collecting the data in real-time when the user leaves the advertisement issuing place. The invention further avoids the condition of wasting the system source when the advertisement server executes polling points collection to all the terminals in the domain.

The invention relates to a biosensor array based on an ion sensitive field effective transistor. The biosensor array comprises a row biosensor, a line biosensor, a row decoder circuit, a line decoder circuit and a control logic circuit, wherein the row biosensor is connected with the row decoder circuit, the line biosensor is connected with the line decoder circuit, and the control logic circuit is coupled to the row decoder circuit and the line decoder circuit. The biosensor array based on the ion sensitive field effective transistor, provided by the invention, has the beneficial effects that the detection area is greatly covered, a plurality of targets are simultaneously detected rapidly in real time through measuring a large quantity of sensors inside the biosensor array, the statistical error of the detection is greatly reduced, and thus the accuracy and the repeatability of the detection are improved.

The invention discloses a signal acquisition circuit for a grain loss sensor. The circuit includes a charge-voltage conversion circuit, an absolute value circuit and a band-pass filter circuit which are connected in series in order, conditions charge signals output by the grain loss sensor to voltage signals suitable for transmission and processing, and filters out noise signals except grain impact signals. A DSP microcontroller controls two cascaded A / D converters to synchronously collect output signals of an 8*8 sensing module conditioned by a signal conditioning unit, thereby providing a reliable data source for the statistics of grain loss. A power supply circuit supplies power for the signal conditioning unit and the signal acquisition circuit. The signal acquisition circuit is compact in structure, excellent in performance and high in cost performance, and provides possibility for popularization and use of the grain loss sensor.

The invention provides a locomotive traction calculation model calibration method based on actual operation data. The locomotive traction calculation model calibration method is based on sequences such as manipulation gears, running speed and the like which are offline obtained from locomotive running original data, a locomotive traction calculation model is constructed by a reverse fitting method, and the accuracy of the model is verified via a forward direction verification mode. During constructing the locomotive traction calculation model, firstly, the locomotive traction and braking force are obtained based on locomotive log records, afterwards, converted resistance is obtained according to LKJ basic data or circuit constructing data, on the basis, then corresponding sequences between speed and force are obtained according to a prediction equation, and then a locomotive traction calculation model is obtained by a fitting mode. The locomotive traction calculation model of the invention, based on the actual operation data fitting, can better adapt to onsite complex circuit environment, reduces the statistical error and combines reverse fitting with forward direction verification, thereby being able to better guarantee the adaptability and accuracy of the model.

The invention discloses a statistical method of a semi-porosity based on a close-range photogrammetric technology. The statistical method comprises the steps of performing quick non-contact measurement on the pre-splitting surface and the smooth blasting surface of a step after blasting to obtain the spatial three-dimensional information of the pre-splitting surface and the smooth blasting surface, and building a step-surface three-dimensional DEM model, dividing the hole marks of a pre-splitting hole and a smooth blasting hole by use of an image recognition technology and dividing the length of one half of each blast hole according to the unevenness of the hole marks on the pre-splitting surface and the smooth blasting surface, collecting the semi-hole information of all the blast holes, and calculating to obtain the semi-porosity for evaluating the blasting effect. The statistical method of the semi-porosity based on the close-range photogrammetric technology is capable of greatly improving the statistical accuracy of the semi-porosity, reducing the statistical error and reducing the operation cost; the digital close-range photogrammetric technology is adopted so that more complete information of the pre-splitting surface and the smooth blasting surface can be obtained and the information of a blasting region can be stored conveniently, and meanwhile, the reliability of evaluation on the pre-splitting and smooth blasting effects also can be improved.

The invention relates to an update method and system for a smart agricultural machinery system based on an Internet of Things. The method comprises the steps that S01, a smart terminal of smart agricultural machinery sends a collection data package to an upper computer once at an interval of 5-30 minutes in an electrified state, and the upper computer replies a collection data response package after receiving the collection data package; S02, when a version is updated, the upper computer sends a version update request package periodically and continuously, wherein the version update request package comprises a version number, a version size and version preset start time; S03, the version number is determined; S04, a size of a subpackage is determined; S05, version update subpackages are sent; S06, a time interval is detected, and the package sending strategy of the upper computer is adjusted; and S08, circulation is carried out repeatedly until the subpackages are downloaded completely.

The invention provides a very-low-frequency navigation radio wave propagation prediction model refining method based on cloud architecture. Networked big data and a cloud computing technology are adopted, a radio wave propagation model is constructed and refined with the aid of machine learning, high-precision radio wave propagation model correction is realized, except high-precision model correction, a very-low-frequency navigation user terminal receives newest model data broadcasted by a cloud architecture radio wave propagation correction data processing center, a radio wave propagation correction model is updated to a newest radio wave propagation correction prediction model, and model correction accuracy is improved.

A new detection scheme for time-of-flight mass spectrometers is disclosed. This detection scheme allows extending the dynamic range of spectrometers operating with a counting technique (TDC). The extended dynamic range is achieved by constructing a multiple anode detector wherein the individual anodes detect different fractions of the incoming particles. Different anode fractions are achieved by varying the size, physical location, and electrical / magnetic fields of the various anodes. An anode with a small anode fraction avoids saturation and allows an ion detector to render an accurate count of ions even for abundant species.

A continuous volume gradient capillary digital PCR method comprises the following steps: uniformly mixing a PCR reaction system containing fluorescent groups and an oil phase of which the density is equivalent to the density of water according to a volume ratio of 1 to 2-4; placing a mixture in a capillary with internal diameter continuously changed from large to small to perform PCR reaction; counting a microdroplet number and a microdroplet radius in an area with positive microdroplet ratio of 25-55% by using optical signal collection equipment; and calculating a PCR template copy number. The continuous volume gradient capillary digital PCR method provided by the invention has the advantages that the cost of digital PCR can be reduced and the operation process is simplified.

The invention discloses a cloud computing data automatic classifying and counting method. The cloud computing data automatic classifying and counting method comprises the steps that a cloud storage device receives data and analyzes registration information of the data; the cloud storage device sends the data and the registration information of the data to a data counting center; the data counting center receives the data and the registration information and classifies the data according to the registration information; the classified data is sent back to the cloud storage device by the data counting center to be stored in a classified mode. According to the method, the data can be sent, analyzed and counted in real time, when a new data type occurs, a data category can be added automatically, and the situation that after a data counting result is obtained, a user adds the new data type and classification is conducted again is avoided; when the user needs to output data counting results, only the results of the registered data need to be output; the method is used for data classification and counting and is rapid and efficient, user experience is improved, the number of counting errors is reduced, and the data maintenance cost is reduced.

The invention discloses a gamma ray density measuring system and method for minus temperature and high pressure. The gamma ray density measuring system comprises a liquid storing tank for accommodating liquid to be measured and a constant flow pump connected with the liquid storing tank, and the constant flow pump is connected with a gamma ray density measuring device through a front testing pipeline. A filter, a mass flow meter, an adjusting valve and a minus temperature and constant temperature tank are sequentially arranged on the front testing pipeline; the filter, a condenser and a back pressure valve are sequentially connected to a rear testing pipeline; the rear testing pipeline finally enters a waste liquid tank. The gamma ray density measuring system is an online liquid density measuring system, can measure the liquid density in a minus temperature and high pressure condition, can directly obtain the density of liquid to be tested by obtaining a high-density standard fluid counting rate, a low-density standard fluid counting rate and a counting rate of fluid to be tested. In addition, the gamma ray density measuring system is simple in testing method, good in repeatability and high in measuring accuracy.

The invention discloses a sand-measuring ionization chamber which comprises an upper end tube and a lower end tube connected by a flange and is separated into two separate parts. The upper end tube isinternally provided with an amplifier plate, a high-voltage power source frame and a temperature sensor, and a high-voltage power source is mounted in the high-voltage power source frame; the lower end tube is internally provided with an electrode container and filled with high-voltage inert gas; the top end of the lower end tube is provided with an aluminum window; a ceramic insulator is weldedon the flange; a lead tube on the electrode container is connected with a high-voltage electrode on the high-voltage power source frame by the ceramic insulator; the other electrode on the high-voltage power source frame is connected with the input end of an amplifying circuit on the amplifier plate; the output end of the amplifying circuit on the amplifier plate is connected with a cable; and theother end of the cable is externally connected with a computer. The sand-measuring ionization chamber improves the efficiency of a 241 Am gamma radioactive source by more than one magnitude, uses theradioactive source with great activity, little Statistical error and good stability, has strong harsh environment toleration, good long-term signal stability, wide measuring range and low failure rate, thereby being suitable for the online measurement of the sediment concentration of underwater silt.

The invention discloses a lake wetland crop area surveying and mapping method based on deep learning and unmanned aerial vehicle aerial photography and related algorithms. The surveying and mapping method relates to an aerial photography image acquisition scheme, a plane front-view projection image generation algorithm, a wetland crop area identification and segmentation algorithm and an area statistical method. The aerial image acquisition scheme specifies the requirements of the unmanned aerial vehicle for image acquisition; the plane front-view projection image generation algorithm describes an algorithm for generating a plane front-view projection image of a shooting area based on an image acquired by the unmanned aerial vehicle; the wetland crop identification and segmentation algorithm describes an algorithm for identifying and segmenting aquatic plant areas such as reeds and wormwood in a lake wetland area based on a deep learning algorithm; the area statistical method describes a method for counting the areas of crops such as reeds and wormwood based on plane front-view projection images and recognized crops such as reeds and wormwood. The method provided by the invention finally realizes the functions of identifying aquatic crops such as reeds and wormwood and respectively calculating the areas of the aquatic crops.

The invention discloses a data statistics method and device of a project model and a computer storage medium, the project model comprises a plurality of subitems, and the data statistics method comprises the following steps: obtaining project data of a plurality of subitem models of the same project model; uploading the plurality of project data to a database; and combining the multiple parts of project data by utilizing a database to obtain data information of the project model. In this way, the data information of the project model can be quickly obtained.

The embodiment of the invention provides a method and a system for testing filtration performance. The method for testing the filtration performance comprises the following steps: acquiring test parameters of the filtration performance of the uniform resource locator (URL) of a first router; and determining the filtration performance of the first router according to the acquired test parameter ofthe filter performance of the URL of the first router. The embodiment of the invention realizes the improvement of test precision of filtration performance of URL of the router; and compared with theprior art, the embodiment of the invention has lower requirement on the performance of the test device and saves cost under the requirement of the same test precision.