141 results about "Statistical error" patented technology

A method of computing a manufacturing yield of an integrated circuit having device shapes includes sub-dividing the integrated circuit into failure mechanism subdivisions (each of the failure mechanism subdivisions includes one or more failure mechanism and each of the failure mechanisms includes one or more defect mechanisms), partitioning the failure mechanism subdivisions by area into partitions, pre-processing the device shapes in each partition, computing an initial average number of faults for each of the failure mechanisms and for each partition by numerical integration of an average probability of failure of each failure mechanism, (the numerical integration produces a list of defect sizes for each defect mechanism, and the computing of the initial average includes setting a maximum integration error limit, a maximum sample size for a population of each defect size, and a maximum number of allowable faults for each failure mechansim), and computing a final average number of faults for the integrated circuit by iterativelly reducing a statistical error of the initial average number of faults for each of the failure mechanisms until the statistical error is below an error limit.

The invention relates to a coding method consisting of the following steps: biometric data associated with an individual is obtained; a word, relating to an error correction code, selected in order to correct a quantity of errors in a relation to a statistical quantity of errors between two biometric measurements relating to the same individual, is generated, said word dissimulating information relating to said individual with the aid of a private function; and a combination is created between the biometric data thus obtained and the word thus generated.

The invention discloses a number-of-people estimation method based on deep learning semantic image segmentation. The number-of-people estimation method comprises a step 1 of constructing a training sample set including an original picture and a corresponding mask label picture; a step 2 of selecting or constructing a deep network model based on semantic image segmentation; a step 3 of training thesample set and obtaining a human head position prediction network model; and a step 4 of inputting a picture to be detected into the human head position prediction network model to obtain a mask picture, and obtaining the estimated number of people in the picture to be detected and position information of each person in the picture to be detected according to positions of points and the number ofthe points in the mask picture. Compared with an estimation method which is mostly employed in the prior art and based on image partitioning, the number-of-people estimation method is advantaged in that statistical errors brought by image partitioning can be avoided; the estimated number of people in the image area and the position of each pedestrian in the image area can be provided at the sametime.

The invention relates to microelectronics, specifically to a time-interweaving ADC (analog to digital converter), in particular to a correcting method and a corrector used for sampling time mismatch of the time-interweaving ADC. The method mainly comprises the steps of performing subtraction on the digital outputs of adjacent channels of the time-interweaving ADC to solve a difference quantity Ei[k], representing the actual sampling time interval of adjacent channels with the average value Ai obtained after summing absolute values, representing the standard sampling time interval of adjacent channels, finally eliminating a statistic error of a relative error Bi by AAR filtering by obtaining the sampling time mismatch quantity of each channel, and feeding back to a clock generating unit to adjust a channel sampling clock after summing, thus realizing the negative feed back adjustment on the sampling time mismatch. The correcting method and the corrector used for the sampling time mismatch of the time-interweaving ADC have the beneficial effects of being capable of effectively improving and ensuring the performance of the multi-channel time-interweaving ADC and particularly suitable for high-speed low-power consumption analog to digital conversion, and having the advantages of low complexity, small hardware cost and easy implementation.

The invention includes following modules: exercises edit module for providing teacher to edit exercises from database of exercises; learning module for students to pick up the exercises and to display the exercises on ends at students, students carries out learning and testing based on the exercises; based on statistical result, the module of statistical error marks out difficult exercises, and the module also receives difficult exercises marked by students; then, trouble shooting module builds connection between teachers and student end to carry out school teaching activity. Meanwhile, based on difficult exercises, teachers can explain and answer questions of students.

The present invention provides pharmacogene polymorphisms and their use in predicting therapeutic effectiveness. The present invention also provides methods comprising targeted analysis of selected pharmacogenes in thousands of compiled whole human genome sequences for identifying polymorphic sequences associated with drug response are described. The methods also provide confirmation and validation of these pharmacogene polymorphisms, based on concordance between different sequencing technologies, and statistical error-checking. Imputation of the deleterious consequences of novel variants is predicted by bioinformatics analysis.

The invention provides a method and a system of population flow statistics based on an intelligent video identification technology. The method comprises the following steps: obtaining a human body template in a current frame video image by scanning according to information in a database for a standard human body template; judging whether the advancing direction of the obtained human body template faces to a first direction or a second direction, increasing the count of the first direction by 1 when judging the advancing direction of the human body template faces to the first direction, increasing the count of the second direction by 1 when judging the advancing direction of the human body template faces to the second direction. The invention can accurately monitor the population coming and going in the channel through the steps by statistics, can not cause the statistical error due to larger staff flow, and can also damage the ground, thereby lowering the monitoring cost.

The invention discloses a method for coordinating and controlling adjacent intersection signals of a city by using video detection data, relates to the method for coordinating and controlling the adjacent two intersection signals of the city, belongs to the field of signal control, and solves the problems of great coordination phase path traffic statistical error, inaccurate coordination and control scheme and the like caused by adopting induction coil detection data in the conventional signal coordinating and controlling method. The method comprises the following steps of: acquiring cross section images of stop lines of entrance lanes of each intersection by using a signal machine through a video detector; acquiring the number of vehicles according to the cross section images, and calculating traffic flow parameters according to the number of the vehicles; performing predicting calculation on the arrival traffic flow of each entrance lane; performing predicting calculation on the average operation speed of motor vehicles of a road section; calculating signal coordinating and controlling timing parameters; and acquiring a signal coordination and control scheme according to the signal coordinating and controlling timing parameters, and transmitting control signals to traffic signal lamps to realize the coordination and the control of signals. The method can be widely applied to the coordination and the control of the intersections of cities.

A method for determining the thermal neutron capture cross-section of an earth formation penetrated by a wellbore from counts of capture gamma rays. The capture gamma rays are detected at spaced apart locations after bombarding the formations with high energy neutrons. The method includes determining an apparent capture cross-section at each one of the spaced apart locations from the counts of capture gamma rays, determining a difference in the apparent capture cross-sections determined between pairs of the spaced apart locations, and calculating the capture cross-section by combining the apparent capture cross-sections and the differences into an empirical relationship of known values of the capture cross-section with respect to the differences and the apparent capture cross-sections. In the preferred embodiment, the coefficients of the empirical relationship are determined by minimizing a value of an error function including as components: the differences between simulated values of the capture cross-section calculated from simulated gamma ray counts at each one of the spaced apart locations corresponding to known values of the capture cross-section used to perform the simulation, and the known values of the capture cross-section; and the statistical error in the simulated values of capture cross-section.

The invention discloses a method and a device for realizing statistical analysis on user access condition of Internet, wherein the method comprises the steps of: extracting and recording information of a user machine representing each accessing user object, and merging the user objects according to information similarity of the user machines. According to the method and the device, by recording the information of the user machines represented by different Cookie and browsing behaviors occurred on the Cookie during learning process, deciding the level of similarity among the users, merging the Cookie possibly generated by the same user, recording the browsing behaviors of the Cookie after merging, and conducting statistical analysis on the access frequency and the habit of the browsing behaviors, the correlation loss and the statistical error of user behaviors due to the fact that the Cookie is removed by the user, and the like can be avoided, thereby evaluating the access condition of websites authentically and objectively.

The invention discloses a method for constructing and simulating an MOSFET mismatch model, which adopts a BSIM3 model as a basis and is divided into the following steps of: (1) constructing a model parameter random error statistics expression by the principle of statistics; (2) according to the physical definition of the model parameter random error statistics expression, selecting model parameters with pertinence in the BSIM3 model respectively and adding a statistics expression correction term to the model parameters; (3) constructing a corresponding SPICE macro model; (4) defining the initial value of a correction coefficient; (5) substituting the initial value of the correction coefficient into the model and debugging and simulating the model parameters. By regulating the coefficient of a mismatch error function correction formula in the model, the invention can enable the model to accurately describe the trend of the mismatch error of an actual process. By debugging the parameters, the monitoring trend line of the actual process and the simulation trend line of the model can greatly approach to each other. The modeling method can conveniently and better simulate the mismatch statistical error of the actual process.

The invention relates to a portable soil heavy metal analysis instrument, which includes an X-ray tube, an X-ray exit window, a detector, a micro-processing computer, a GPS receiver and a power supply device, the micro-processing computer has a CF card slot, and the GPS receiving The X-ray tube is inserted into the CF card slot of the micro-processing computer. When measuring, the X-ray tube emits X-rays to detect the fluorescence generated by the sample excited by the X-rays. After processing, the micro-processing computer conducts energy spectrum analysis to obtain the specific content of The content and content of the sample, the built-in GPS system of the microprocessor computer can carry out the global positioning of the sampling position, and the position information and measurement data are generated at the same time. The invention avoids errors in manual recording and statistics, improves efficiency by several times compared with traditional measuring methods, does not produce substances harmful to the environment, and can perform heavy metal testing on large-area, fast and non-destructive field soil.

A method of determining the proportion of short-chain branching in an olefin copolymer process stream is disclosed. The short-chain branching may also be determined as a function of molecular weight in a sample having a range of molecular weights. In the method, at least two olefin copolymer training samples are provided. The respective samples have different, known proportions of short-chain branching. The infrared (e.g. FT-IR) absorbance spectra of the training samples in a wavenumber range are obtained. Calibration information is determined from the training samples by chemometrically correlating the differences in the infrared absorbance spectra of the training samples to the differences in the degree of short-chain branching in the training samples. This step generates calibration information that allows the degree of short-chain branching in a sample to be determined once its infrared absorbance spectrum is obtained. A method for determining the statistical error in the measurement of short-chain branching in an olefin polymer sample as a function of its molecular weight distribution is also disclosed.

The invention provides a design method of a robust transceiver in a multi-cell MIMO interference channel. The method comprises the steps of S1, setting an operation mode of the multi-cell MIMO interference channel, S2, defining the signal noise ratio of a single user or receiver, calculating the signal noise ratio of the kth user or receiver, S3, analyzing the influence of the channel statistic error to the signal noise ratio, deriving a mutually independent receiving beam forming vector, S4, when the channel has the statistic error, introducing a slack variable, converting a non-convex signal noise ratio optimization problem into a second-order cone programming problem, using the convex optimization algorithm to solve the robust transmission beam forming vector problem, S5, using the alternating optimization method to obtain the robust beam forming vector. The method has strong robustness to the statistic errors, each receiver only uses partial CSI to obtain the mutually independent beam forming vectors, the feedback cost is reduced, the bit error rate performance is guaranteed.

The invention relates to an infrared array based people stream behavior analysis system and method. The analysis system is characterized by comprising a detection terminal, a transmission module and a processing background, the detection terminal transmits a temperature data packet to the transmission module, and the transmission module transmits the temperature data packet to the processing background. The analysis method is characterized by comprising a step of human identification and people stream counting, a step of calculating stay time of the people stream and a step of calculating the people stream. The system and method have the advantages that people indoor can be counted conveniently in real time, interference is eliminated effectively, and the statistical error is reduced.

The invention discloses a college teaching affair management system and the system is used for managing the interaction between teachers and students at various types of colleges. The system comprises a system administrator module used for maintaining the normal operation and the security settings of the system; a teacher login module used for enabling a teacher to manage students in a class managed by the teacher; and a student login module used for managing and viewing the personal information of students. When teachers and students are managed based on the system, each student needs to log in a course selection system to select courses. Therefore, the pressure on teachers and students at colleges is alleviated. Compared with the traditional manual operation mode with the problems of data loss, statistical errors, high labor intensity and slow speed, data can be transmitted over the internet, so that the data sharing is realized after the interconnection of the system. As a result, the repeated operation is avoided, and teaching management behaviors are standardized. In this way, the management efficiency and the management level are improved.

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 method for assisting in the navigation of an aircraft comprises steps of calculating and displaying a linear deviation on a first linear section and an angular deviation on a second angular section. The method comprises a step of calculation of an anticipated deviation of the aircraft, expressed linearly or angularly, projected to a time DT, characteristic of a reaction time of the aircraft, and of a statistical error distribution associated with this anticipated deviation; and a step of calculation of a probability of exceeding a predetermined target deviation, by means of the anticipated deviation and of the statistical error distribution. The method also comprises a crew alert when the probability is above a predetermined threshold.

The invention relates to an analyzing and processing method for test data of manual pollution flashover of an insulator based on a steady regression algorithm. At present, the least square method used to determine the flashover voltage is only adaptive to the condition that test data dependency is higher, and easy to exaggerate the influence of a singular value in the test data, thereby increasing the statistic error, so that the regression equation is short of steadiness. The invention provides the analyzing and processing method for test data of manual pollution flashover of the insulator. The method is characterized by comprising the steps of: solving a regression coefficient by a reweighted least square iterative algorithm according to the salt deposit density, and ash density on the surface of the insulator and the voltage test data of the pollution flashover; adopting the weighting function in iterative calculation, wherein the weighting coefficient is the residual function iterated last time so as to reduce the influence of the singular value on the regression coefficient; and mapping a salt density influence characteristic index and an ash density influence characteristic index by the regression coefficient and predicting the pollution flashover voltage of the insulator. The method provided by the invention improves the predicting precision of the pollution flashover voltage and effectively eliminates the interference of abnormal data.

Systems / methods for computing a power spectral density estimate for a noise signal. Where the noise signal appears in two channels (a single channel), n successive data acquisitions from the two channels (the single channel) are used to compute n respective cross (power) spectral densities, which are then averaged. The averaged cross (power) spectral density may then be smoothed in the spectral domain. The magnitude of the smoothed cross (power) spectral density comprises an estimate for the noise power spectral density. An effective number of independent averages may be computed based on the number n, the time-domain window applied to the acquired sample sets, the amount of overlap between successive sample sets, and the shape of the frequency-domain smoothing function. A statistical error bound (or uncertainty measure) may be determined for the power spectral density estimate based on the effective number of averages and the averaged single-channel and cross-channel spectral estimates.

The invention relates to a statistical error positioning method based on the reduction of a black-box test case. The statistical error positioning method aims at a given test case set and utilizes a distance measurement method to measure difference degrees among test cases so as to construct a test case distance matrix; on the basis, test requirements are set, a greedy algorithm is adopted to carry out test case reduction work so as to generate the test case set which meets the test requirements, and the program overlay information and the program execution result of the test case set are simultaneously collected and reduced so as to construct the test case distance matrix; then, statistical error positioning is carried out to measure an anomaly degree of statement errors in the program; and finally, a software error positioning report is generated. The statistical error positioning method aims to solve the problem that the traditional statistical error positioning method needs to collect test information in a long time, so that the efficiency and the usability of the statistical error positioning method are greatly improved, and the efficiency of program debugging work is improved so as to better guarantee the quality of software.

The invention discloses a line transformation relation abnormity judgment method based on correlation between electric quantity and line loss. The line transformation relation abnormity judgment method includes a data acquisition module which is used for acquiring electric quantity information, a data processing module which is used for analyzing correlation between electric quantity and line loss, and a data display module which is used for displaying abnormal line transformation relations, wherein the data acquisition module, the data processing module and the data display module are sequentially connected. The line transformation relation abnormity judgment method utilizes power consumption, voltage, current and other data of a line and a transformer provided by a power consumption information acquisition system, and utilizes a big data analysis technology and a transformer area line loss non-linear correlation analysis method to construct the line transformation relation error correction model independent of the local communication relation and find out the line transformation relation with statistical errors, so as to improve the accuracy of topological information of the power transmission line and provide technical guidance for conducting line transformation relation on-site troubleshooting, so that the calculation precision of line loss is improved, and technical support is provided for lean marketing management.

Embodiments of the invention are suitable for the task distribution technology field and provide a task distribution method, an apparatus and terminal equipment thereof. The method comprises the following steps of receiving a task to be processed and calling a current processing state of the task to be processed, wherein correlation information of a user is acquired, and according to the correlation information, the user who needs to receive the task to be processed is determined; and according to the current processing state, distributing the task to be processed to the user who needs to receive the task to be processed. In the above process, a task distribution system receives and gathers the task to be processed and acquires a state to be processed of the task to be processed so that a servicer which processes the task to be processed does not need to manually calculate the task to be processed and search the current processing state of the task to be processed, therefore, a workload of the server is reduced and a statistical error is avoided.

The invention is applicable to the technical field of data processing and provides a method and device for energy consumption statistics. The method comprises a step of screening an abnormal table bottom energy consumption value by obtaining energy consumption data and analyzing the energy consumption data, a step of segmenting the energy consumption data with a time value corresponding to an abnormal table bottom energy consumption value as a node to generate segmented energy consumption data, and a step of calculating a table bottom energy consumption difference in each piece of segmented energy consumption data as a segmented energy consumption cumulative amount and calculating a sum of the segmented energy consumption cumulative amount of each segment. A final statistical error due toa data acquisition error is effectively avoided, and the accuracy of the energy consumption statistics is improved.

The invention discloses a chemoradiotherapy standardized quality control quantitative method based on a neural network. The method comprises the following steps that a quality control index is quantized to obtain a quality control vector quantity, namely, quality control index quantification and dimensionality reduction and normalization of the quality control vector quantity are conducted; the neural network is formed, namely, a network topology structure, nerve cell quantity and a transfer function are confirmed; the neural network is trained, namely, a training sample is selected, errors are counted, and network parameters are adjusted; the trained neural network is applied to the quantization of chemoradiotherapy standardized quality control. Due to the fact that a clear relation does exist between the quality control vector quantity and a quality control score, the relation is usually obtained through comprehensive judgment by a specialist according to experience, the chemoradiotherapy standardized quality control quantitative method based on the neural network can well simulate the nonlinear implication relation with the utilization of the neural network through study, and therefore chemoradiotherapy standardized quality control degree in follow-up therapeutic processes can be systematically and standardly judged.

The invention discloses an overhead contact line reliability assessment method giving consideration to a weather condition, and the method gives the consideration to the impact on the reliability assessment from the weather condition, can solve a uncertain problem caused by a statistical error or insufficient data, and can be used for the reliability assessment of an overhead contact line system under different weather conditions. The method comprises the steps: 1), enabling the weather conditions to be divided into normal weather, severe weather and disastrous weather, and calculating the fault rates and repair rates of various types of elements under different weather conditions; 2), enabling the fault rates and repair rates of various types of elements under different weather conditions to serve as the random fuzzy variables, employing a triangular fuzzy number to represent the fuzzy distribution of the random fuzzy variables, and carrying out the random fuzzification processing of the fault rates and repair rates which are solved at step 1); 3), calculating the reliability index of a system giving consideration to the weather condition, deducing a calculation formula according to a GO method, and solving the mathematical expectation values of the random fuzzy variables through employing a credibility theory, wherein the reliability index serves as the reliability index of the overhead contact line system.

The embodiment of the invention discloses an unmanned convenience store shelf article detection method and device, a computer and a storage medium. According to the technical scheme, the method comprises: detecting the weight of the articles on the shelf; when a user puts articles back to the shelf, obtaining pictures of the goods shelf through the camera and performing goods identification; whenthe newly added articles and the original articles on the shelf are of the same type, updating the inventory information and the user virtual shopping list, otherwise, prompting the articles to be misplaced, so that the user or the administrator is prompted to put the misplaced articles back to the proper position in time, and the situation of statistical errors of the shelf articles is reduced.

The invention discloses a electricity consumption information acquisition system fault discrimination method. The method comprises the following steps: S1, data acquisition: acquiring electric quantity information of a line; s2, data processing: carrying out classification processing and fault judgment on the collected information; s3, data archiving: generating an inspection report, and notifyinginspection personnel to inspect; wherein the data acquisition comprises transformer end electric quantity data acquisition and user end electricity consumption information acquisition, and the electricity consumption information comprises total electricity consumption, voltage value data and current value data. According to the method, line and transformer power consumption, voltage, current andother data provided by a power consumption information acquisition system are utilized, a line loss model is built by utilizing a big data analysis technology and a transformer area line loss nonlinear correlation analysis method, a line change relation with a statistical error is found out, and the accuracy of power transmission line topology information is improved; after the faulty line is determined, the electricity consumption condition of a user in the faulty line is inspected, the fault reason is found out, and guidance is provided for electric power economic operation.

The invention discloses a scanning type radioactive hole diameter measurement device and method. A gamma radiation source is adopted, a plurality of collimation holes are formed at the gamma radiation source, and scattering gamma counts are recorded by a plurality of corresponding close and far gamma detectors; according to the fact that the gamma count is a result of weighted average of mud density and stratum density, and on the basis that a contribution rate of mud to the gamma counts of the detectors is related to the mud gaps, a nonlinear relation is formed therebetween; and a quantitative evaluation method of a hole diameter is formed by adoption of the gamma counts on all directions at different depths along a borehole recorded by the gamma detectors. As the combination of multiple groups of collimation holes-detectors is arranged, the statistical errors of the gamma counts are reduced, and the accuracy of the hole diameter data on the directions is improved; and the device performs measurements underground in a rotary scanning manner and records the hole diameter data in all directions at different depths underground for imaging and displaying the hole diameter.