45results about How to "Avoid statistical errors" patented technology

The invention provides a method for pre-estimating an overhead power transmission line wire designed ice thickness. The method includes the step of collecting basic data and establishing fine grid meteorological background field data of past years, the step of estimating a fine grid wire icing thickness, the step of correcting the fine grid wire icing thickness and the step of estimating a wire icing thickness in a return period. The method for pre-estimating the overhead power transmission line wire designed ice thickness provides an effective solution for determining power transmission line wire designed ice thicknesses of regions lack of icing basic data and regions with complex terrain.

This invention provides a method and system of automatically collecting and counting the television view rate, characterized in that the method comprises the following steps: a) the data receiving and counting unit 102 in CATV network node 101 will send data collecting open signal to the data burst collecting unit 105 in sampling user through the forward direction chain circuit of the two-way CATV network; b) the data collecting burst unit 105 will send the receive data to the receiving and counting unit 102 through the return chain circuit; c) the data receiving and counting unit will dressing, storing, analyzing and counting the returned data; d) getting the estimated value of view rate of the area covered by that network node. If gathering and processing the data of all network nodes, it can count the estimated view rate of bigger range.

The invention discloses a voice de-noising method, which relates to the field of voice de-noising. The method comprises the following steps of: acquiring initial and final positions of a voice section by adopting voice endpoint detection, and tracking the change of noise in a mode of updating a noise spectrum in real time when the voice section does not exist. Because power spectrum subtraction is generally performed by adopting the latest updated noise spectrum at the voice section, the error caused by continuous slow change of the noise can be furthest reduced; and meanwhile, the shortest length limitation of the noise is set after the dynamic detection of the voice so as to furthest avoid the condition of error noise average power spectrum statistics caused by falsely detecting the voice as the noise at the continuous voice section, further acquire more accurate voice signals, improve the signal-to-noise ratio of the output signals and meet the requirement in practical application.

The invention discloses a remote video conference intelligent management system based on big data and cloud computing and a cloud conference management platform, the collection of participating images of participants participating in a remote video conference in a conference process is carried out, and the expressions and sitting postures of the participants in the conference process are obtained; a comprehensive conference participation mental state coefficient corresponding to each participant is counted, a speech of each participant is tracked, speech content is analyzed, a speech relevancy coefficient corresponding to each participant is further counted, and therefore, a comprehensive conference participation mental state coefficient corresponding to each participant is calculated according to the statistical conference participation expressive force coefficient corresponding to each participant, a comprehensive and reliable reference basis is provided for a teleconference sponsor to analyze the conference holding effect, the defects of singleness and one-sided analysis of the performance condition of the participants at present are effectively overcome, the accuracy and reliability of an analysis result are improved, and the management level of the remote video conference is further improved.

The invention discloses a circuit yield estimation method based on CAD Monte Carlo analysis. The method comprises steps as follows: a topological structure of an analyzed electronic circuit or integrated circuit, a performance parameter index range of the circuit and statistical distribution laws of a key element parameter and an element parameter are determined; an agent model between a circuit performance parameter and an element parameter nominal value is established for approximating a circuit; a random sampling combination sequence of circuit Monte Carlo analysis is generated according to the circuit element parameter distribution laws; the agent model of the circuit performance parameter is used for predicating the random sampling combination sequence, and circuit performance parameter predicted values and a confidence interval range of each performance parameter predicted value are obtained; the circuit performance parameter predicted values are modified and calculated; and the performance parameter predicted values are substituted into the a performance parameter index standard range for statistical analysis, and the yield of the circuit performance parameter is calculated. According to the method, the time cost is low, the circuit simulation times are few, the analysis efficiency is high, and the accuracy for estimating the yield is high.

The invention discloses an engineering quality supervision intelligent management system based on big data, and the system comprises a top arc-shaped uniformity detection and analysis module, a tunnelsegmentation module, a tunnel segment basic parameter detection module, a tunnel segment concrete thickness detection module, an engineering parameter database, a parameter processing center, a management server, and a display terminal. According to the invention, the top arc uniformity, tunnel width, tunnel height and tunnel top concrete thickness of the tunnel engineering are detected, the corresponding coefficients are counted by combining the parameter processing center, the comprehensive quality coefficient of the tunnel engineering is further obtained, the system has the characteristicof high intelligent degree, the engineering quality supervision efficiency is improved, waste of supervision human resources is reduced, quantitative display of tunnel engineering comprehensive quality is achieved through the obtained tunnel engineering comprehensive quality coefficient, and the defect that an existing tunnel engineering quality supervision cannot obtain the whole tunnel engineering comprehensive quality condition is overcome.

The invention discloses a regional traffic guidance method and system based on traffic intersection traffic flow identification and statistics. The method comprises the steps of: obtaining a traffic lane route map of a target region, and determining a key intersection set of the target region according to the traffic influence of each intersection in the target region on the target region; obtaining the monitoring video data flow of each key intersection in the key intersection set, and identifying and counting the traffic flow data of each phase of each key intersection; and for any key intersection O, comparing the traffic flow data of each lane of the key intersection O with a corresponding traffic flow threshold, and when judging that the traffic flow data of any lane of the key intersection O is greater than the corresponding traffic flow threshold, adjusting the traffic light signal of the key intersection O to relieve the traffic flow congestion of the key intersection O. By preferentially adjusting the congestion of the key intersection which has great influence on the traffic of the target region in the target region, the congestion in the region can be quickly and effectively adjusted.

Embodiments of the invention relate to the technical field of agriculture and disclose a plant yield prediction method and apparatus. The plant yield prediction method comprises the steps of obtainingseedling culture time, wherein the seedling culture time is determined according to data returned by detection of a seedling culture detection apparatus; and according to the seedling culture time, growth durations and survival rates of a plant in growth links, a seeding quantity, a picking interval and single yield of the single plant, determining plant yield in first time, wherein the growth links of the plant include a seedling culture link and a field planting link. The yield of the plant at a time can be predicted, so that the process of manually inputting related data of the growth links of the plant is removed, the recording and statistical errors are avoided, and a more accurate plant yield prediction value is provided.

The invention discloses a classroom management method and device. The classroom management method comprises the steps: detecting whether course information exists in any classroom within a preset timeperiod or not; when course information exists in the classroom in a preset time period, acquiring and storing attendance information in a server according to seat use conditions detected by pressuresensors arranged under all seats in the classroom; and when the course information does not exist in the classroom in the preset time period, marking the classroom as an idle classroom in the preset time period, and sending position information of the idle classroom to the user terminal when the user terminal initiates an idle classroom query request corresponding to the preset time period. Compared with the prior art, the classroom management method enables the server to receive the attendance information only when the course information of the classroom is detected so that the situation of data statistics error caused by still performing attendance statistics without attendance can be avoided, and the position information of the idle classroom can be pushed to the user terminal and the time of searching the idle classroom by the user can be saved.

The invention discloses an agricultural material product two-dimensional code automatic scanning in-storage device which comprises a conveyor belt and a discharging distribution mechanism connected to the rear end of the conveyor belt. The conveyor belt is sequentially divided into a feeding section, a levelling section and a code scanning removing section from front to back; the levelling section of the conveyor belt is provided with a roller shaft conveying mechanism with square leveling pipes; the front portion of the code scanning removing section of the conveyor belt is located on an outer cover of the conveyor belt and provided with a code scanning box; and a removing mechanism is arranged on the back portion of the code scanning removing section of the conveyor belt. The discharging distribution mechanism comprises a discharging belt arranged at the rear end of the conveyor belt; the discharging belt is horizontally perpendicular to the conveyor belt; the two ends of the discharging belt are discharging ports; a driving motor of the discharging belt is connected with an industrial personal computer; a timer is arranged on the industrial personal computer; and the timer controls the driving motor of the discharging belt in a timing mode to rotate forwards or reversely to achieve distribution discharging. Code scanning information is recorded while agricultural material products are conveyed into storage, and it is guaranteed that the statistic error is avoided while the code scanning information of all the in-storage products are successfully recorded.

The invention discloses a cloud platform system for counting subway shield tunnel disease information. The system comprises a tunnel model building subsystem, a mobile terminal disease acquisition subsystem, a disease positioning subsystem and a disease query subsystem. The tunnel model building subsystem is composed of a tunnel line building function module, an interval ring number building function module and a segment orientation building function module. The mobile terminal disease collection subsystem is composed of a tunnel disease input function module, a disease picture archiving function module and a segment expansion drawing generation function module. The disease positioning subsystem is composed of a disease space positioning function module, a disease time positioning functionmodule and a disease updating and comparing function module. The disease query subsystem is composed of a disease interval query function module and a disease type query function module. According tothe invention, the purpose of accurate investigation of subway shield tunnel diseases is achieved.

The invention discloses an algorithm for counting the number of articles by using a multi-label network. The algorithm comprises the following steps that: a client arranges the articles, wherein the client sends an arrangement request to a container; obtaining a tallying graph: the container receives the tallying request, the fisheye lens shoots a goods picture, and the goods picture is cut and repaired to obtain the tallying graph; multi-label network calculation: inputting the tallying graph into a mobile NetV2 network structure, adopting MSE as a loss function, and outputting the number ofarticles on each layer in the container after calculation; returning the number of commodities; the output data is returned to the corresponding commodity database; complete tallying, the method is reasonable in design, adopts the mobile NetV2 multi-label classification network and the non-object detection network, does not depend on detection box statistical quantity information, utilizes a neural network learning algorithm to obtain SKU quantity information, avoids statistical errors, and can save GPU resources and operation time.

The invention discloses an investigation project management system which is applied to the technical field of engineering construction and comprises a project establishment module, a data query moduleand a progress monitoring module. The project establishment module is used for acquiring project management information of an investigation project and establishing the investigation project according to the project management information; the data query module is used for feeding back data query of a user; the progress monitoring module is used for feeding back the progress query of the user; the data acquisition module is also used for acquiring project data and updating the current project progress according to the project data; and the project management module is also used for calculating according to the project data to obtain an actual project construction period, and generating and issuing a construction period abnormity prompt according to the actual project construction period and the planned project construction period. The invention further discloses an investigation project management method, informatization of investigation project management can be achieved, project management efficiency and work quality can be effectively improved, and project progress is accelerated.

The invention provides a medicine, disease name standardization specification processing method and device, a computer and a storage medium. The method comprises the steps of: obtaining a plurality ofassociated data of a medicine object and a disease object in a standard dictionary; obtaining the standard dictionary; positioning the medicine object or the disease object in the standard dictionary, and associating the medicine object and the disease object with the associated data to establish a name standard database; obtaining clinical test data; identifying whether the associated data of the medicine object and/or diseased object exists in the clinical test data or not; and if so, identifying the associated data as a corresponding medicine object and/or disease object, and performing statistics on the medicine object and/or disease object. the medicine and disease are matched with the associated information, so that the name standard database can be established; and the same objectwith different names can be accurately and automatically identified during data analysis and identification, so that the workload is reduced, and statistical errors are avoided.

The invention discloses an underwater image real-time enhancement method and system based on an FPGA, and the method comprises the steps: S1, eliminating the number of each gray level of a stored image, inputting an ith frame of image, and calculating and storing the number of each gray level of the frame of image and the accumulated number of each gray level; s2, eliminating the number of each gray level of the stored ith frame of image, inputting an (i + 1) th frame of image, counting the number of each gray level and storing, and after counting the number of each gray level, sending a counting completion signal; s3, performing remapping calculation on the image data of the (i + 1) th frame and the accumulated number data of each gray level of the image of the ith frame to obtain enhanced image data, and outputting the enhanced image data; and S4, starting accumulation calculation of the number of each gray level of the image of the (i + 1) th frame, and storing the accumulated number of each gray level of the image of the (i + 1) th frame. According to the invention, the underwater image is enhanced, and the real-time performance of image data processing is improved.

The embodiment of the invention discloses a method, equipment and system for controlling a service access rate, relating to the technical field of communications and aiming at improving the accuracy of controlling the service access rate. The method comprises the following steps of: receiving service request messages for calling telecommunication service; detecting whether the quantity of the service request messages reaches a reported preset value; and when the quantity of the service request messages reaches the reported preset value, sending a rate regulating request message to a center node so that the service access rate is regulated by the center node. The embodiment of the invention is mainly applied to a service access gateway.