86 results about "Time variance" patented technology

Systems and methods are provided for determining and applying timing corrections in a digital communications system. In an aspect, a timing correction method is provided for a multi-carrier system. This includes aligning two or more symbols with respect to each other from a symbol subset in order to account for timing differences between the symbols. The symbol alignment is first carried out to generate channel estimates for data demodulation. The channel estimates, thus generated, along with the timing alignment information are in turn used for determining timing corrections to be applied to future symbols.

Area location information on a base station received by a receiver (12) is identified by an area location identification section (14) and an identification result is output to a time controller (24). In case an area location of a portable terminal apparatus (10) has changed with the movement of the portable terminal apparatus (10) thus causing a time difference in the area location of the portable terminal apparatus (10) before and after the movement, the time controller (24) obtains time difference information from a time difference information database (34), adds / subtracts the obtained time difference information to / from a reference time of a timekeeping section (18) to automatically calculate the time corresponding to the area location of the portable terminal apparatus (10) after movement and displays the time on the display section (26). Thus it is possible to display the correct time without entering or registering time difference information by a user.

The invention discloses a comprehensive error correction method of a short-period wind power prediction system. The method comprises wind power plant power output link error correction and numerical value weather forecast link error correction; the step of correcting an error of a wind power plant power output link comprises the steps of calculating the best modeling granularity of a power output model, accumulating after modeling by a plurality of fans instead of a single unit, rejecting an abnormal data point on a scatter diagram of the power output model with a times-variance method, and correcting the system error of the power output model by related factors; the step of correcting an error of a numerical value weather forecast link comprises the steps of obtaining a leading value weather forecast wind speed sequence by comparing actually measured wind speed with related coefficients of the numerical value weather forecast wind speeds in different time and space and correcting the system error, and correcting a cold front arrival time-delay error by a correlation analysis method. As to the problem of low input data quality of the existing short-period wind power prediction system, the comprehensive error correction method is generally applicable to various short-period wind power prediction methods, and can be conveniently applied to actual engineering, so that the modeling precision and the prediction precision of the short-period wind power prediction can be obviously improved.

Methods for determining a LOB of one or more user equipment (UE) in a wireless system employing Time Difference of Arrival (TDOA) is described. TDOA techniques are based on estimating the difference in the arrival times of reference signals from multiple receivers or from multiple emitters to a receiver. A particular value of the time difference estimate defines a hyperbola between the two receivers on which the handset may exist. When the distance between the receiving antennas is small relative to the distance of the emitter source (the handset) being located, then the TDOA is equivalent to the angle between the baseline of the sensors (receivers antennas) and the incident RF energy from the emitter. If the angle between the baseline and true North is known, then the line of bearing (LOB) and / or angle of arrival (AoA), can be utilized to determine the location of the UE.

The invention relates to an interactive method and system for dynamic capturing and ambient equipment, with at least one micro inertia sensor at a proper position of the human body, with the action of the human body getting relevant parameters of the continuous movement. Then, calculate these action parameters through algorithm to analyze the input action serial of the converting to time variance. Compare the input action serial with the preset action information. Using the compared result to open or trigger or control the electric device ambient to make actions. It also puts forward to calculation of the tested action parameter with time to form an amount of exercise, and interact based on the movement scale and ambient electronic device.

A recursive verification protocol to reduce the time variance due to delays in the network by putting the subject node at most one hop from the verifier node provides for an efficient manner to test wireless sensor nodes. Since the software signatures are time based, recursive testing will give a much cleaner signal for positive verification of the software running on any one node in the sensor network. In this protocol, the main verifier checks its neighbor, who in turn checks its neighbor, and continuing this process until all nodes have been verified. This ensures minimum time delays for the software verification. Should a node fail the test, the software verification downstream is halted until an alternative path (one not including the failed node) is found. Utilizing techniques well known in the art, having a node tested twice, or not at all, can be avoided.

The invention provides an energy efficiency-based resource allocation method for an LTE (Long Term Evolution) network, which is suitable for the LTE network and solution of a problem that possible uneven distribution of the load in the whole network is led since a user terminal and a corresponding service flow have randomness and time-variance when entering into cells. According to the invention, whether virtual load balancing is executed or not is judged according to a load condition of each cell, thus the whole network is in an equalization state ; and after finishing of the process of the virtual load balancing, bandwidth extension for users in each cell is automatically started, priority of signal channel quality of the users is sequenced from high to low, and a user with higher priority in each round of allocation has a preferential right of being allocated an extra RB (Radio Beacon). According to the energy efficiency-based resource allocation method for the LTE network based on the reasonable and effective utilization of frequency spectrum resource in the whole network, a purpose of reduction of energy consumption of the whole network is eventually achieved, and accordingly, the frequency spectrum utilization ratio of the whole network is greatly improved.

The peak detection method using blind source separation extracts true peaks from noisy peaks in a more robust way that does not require any a priori information. Information regarding true peak location is obtained by thresholding the output of a wavelet transform. The value of the threshold is dependent on noise variance. While noise variance is normally unknown, the present method implements a blind source separation technique to calculate the noise variance. The blind source separation technique does not require information of the incoming signal or the channel noise, and hence is suitable for CR (cognitive radio) peak detection.

Time messages are transmitted from a central timebase to a local timebase. The transmission time of a time message is detected and is entered as a data value in a subsequent time message. The reception time of a time message is detected, and the transmission time contained in it is reproduced, by the local timebase. Finally, the difference between associated transmission and reception times of time messages is used to determine the time discrepancies occurring in the process, and these are evaluated for synchronization of the local timebase.

The invention relates to a three dimensional stereophonic sound effect method and the equipment for headphone sound systems, which can extend a dual-track audio frequency signal to a multi-track audio frequency signal with three dimensional stereophonic sound effect. The invention builds a new model according to the subjective perception principle of human hearing. The position of the virtual sound source can be reflected from the two following parameters: (1) fuzzy vertebral body which is annularly formed with the central part of the head and can be described using HRTF (Head-Related Transfer Function). (2) interaural difference which can be described using interaural intensity and time difference. The invention takes a full consideration of the relation between the HRTF filter and the interaural difference processing system and can realize better subjective stereophonic sound effect compared with the prior art. The invention has the advantages of convenient implementation and high efficiency for reconstructing the three dimensional stereophonic sound effect for dual track headphone sound systems.

The invention provides a fuzzy-PID control device for steam pressure of a once-through steam generator and a coordinated control method. A fuzzy-PID controller is a core part of the fuzzy control device for steam pressure of the once-through steam generator, comprising a fuzzy-controller and a PID-controller, and smooth transition of the two controls can be guaranteed by adopting fuzzy switching. With the implementation of an excellent stability of the PID controller and a good rapidity of the fuzzy controller, when the deviation is larger, a proper action can be provided rapidly by means of the characteristic of human-simulated intelligent control so as to suppress interference rapidly and smoothly, thereby guaranteeing the rapidity and robustness of dynamic response of the system; when the deviation is smaller, a conventional PID plays the leading role to guarantee the excellent steady-state performance. The fuzzy-PID control device is applicable to the system with serious non-linearity and time variance, such as the once-through steam generator, and has high control precision and good robustness. The fuzzy-PID control device can be practically applied to the design of the control system of the once-through steam generator so as to improve the control quality of the system.

The invention belongs to the field of image processing and discloses a detecting method for a weak and small target with an intensive fixed star background. The detecting method aims at achieving detection of a weak and small target under the conditions of large view field of the fixed star background and high detecting capacity. First, fixed star interference is weakened through inter-frame registration difference, and then an image is cut through a simple and efficient method of a self-adaption mean value and a K time variance; then a binary statistic filter is adopted to conduct target clustering and remove isolated noise points; characteristics of the position, size, gray level and external rectangle of the target are obtained through segment marking and the like; a static target is extracted through a method of frame-to-frame position correlation (a fixed star edge and double-start edges which are not completely removed through difference are removed at the same time); track detection is conducted through a nearest neighbor method based on logics to finally achieve detection of the weak and small target. After a series of preprocessing, candidate targets sent to the track correlation are few, the number of the candidate targets is controlled in a range of a few to a dozen, and therefore track correlation efficiency and target detecting efficiency are high.

The invention relates to a grinding machine grinding chatter fault on-line diagnosis method. The method is characterized by processing a grinding machine chatter signal through BEMD; decomposing a constructed complex-value vibration signal into a series of complex-value intrinsic mode functions IMFs; screening real IMF components, correlation between which and an original signal is large, according to a judging criteria based on correlation coefficient; and then, carrying out summation on index quantities of peak-to-peak values, real-time variance, kurtosis, skewness and instantaneous energy and the like of the real IMF components respectively, and carrying out normalization processing to form feature vectors. Feature vectors of a part of experiment sample data are utilized to carry out classification training on a least square support vector machine (LSSVM) to obtain an identification model; then, the rest feature vectors are utilized to verify accuracy of the model, and a detection result is obtained; and finally, the verified LSSVM model is applied to monitoring of a grinding machine so as to monitor and judge the working state of the grinding machine in real time, and adjust operation of the grinding machine in time.

A method, system and article of manufacture for processing abstract queries and, more particularly, for generating input to statistical analysis routines. One embodiment comprises receiving an abstract query including a measurement field and a chronological reference condition. The abstract query is transformed into an executable query which is executed by a query engine, whereby result data is determined including an available measurement value for the measurement field. The available measurement value was taken at a point in time different from a point in time that satisfies the chronological reference condition. The method further comprises determining a variance value corresponding to a time variance between the point in time that satisfies the chronological reference condition and the other point in time at which the available measurement value was taken. As a result set for the abstract query, the available measurement value and the variance value are returned.

A method, system and program product are disclosed for improving an IC design that prioritize failure coefficients of slacks that lead to correction according to their probability of failure. With an identified set of independent parameters, a sensitivity analysis is performed on each parameter by noting the difference in timing, typically on endpoint slacks, when the parameter is varied. This step is repeated for every independent parameter. A failure coefficient is then calculated from the reference slack and the sensitivity of slack for each of the timing endpoints and a determination is made as to whether at least one timing endpoint fails a threshold test. Failing timing endpoints are then prioritized for modification according to their failure coefficients. The total number of runs required is one run that is used as a reference run, plus one additional run for each parameter.

A method for writing servo information onto a disk of a hard disk drive with a servo writer. The disk has a circumferential index and a band of servo reference tracks. The circumferential index is detected from a clock signal generated from a clock track of the disk. The reference tracks include radial indices. A spiral servo pattern is written upon the detection of the circumferential index and a radial index. The servo writer includes a phase detector that detects changes in the relative position of the circumferential and radial indices and a delay circuit that delays the clock signal to offset such changes.

The invention discloses a time difference model-based soft measurement modeling method. The method can be used for complicated industrial processes with nonlinearity, time lag, time variance, multi-variable coupling and other characteristics. The method comprises the following steps of: training and learning time differences of input data and output data so as to obtain difference recombination data, and carrying out data prediction by taking the difference recombination data as an input of a soft measurement model; and constructing a time difference-based soft measurement model to predict a response variable, and evaluating the prediction ability of the model. Through carrying out modeling prediction on practical sewage treatment data, a time difference model is capable of well processingdrift of input and output variables in the process so as to obtain implicit variable time lag information and dynamic information in the data; and the time difference-based soft measurement model iscapable of improving the prediction ability and generalization ability of the model, and is more suitable for complicated and variant wastewater treatment processes.

The invention discloses an inter-frame registration and adaptive step length-based infrared image non-uniformity correction method. The method comprises the steps of firstly calculating normalized cross-power spectrums of original infrared images, with non-uniformity, of an nth frame and an (n-1)th frame, and obtaining horizontal relative displacements and vertical relative displacements of the original infrared images, with the non-uniformity, of the nth frame and the (n-1)th frame; secondly calculating out a spatial variance and a time variance of each pixel of the original infrared image, with non-uniformity, of the nth frame, calculating an adaptive iterative step length of each pixel of the original infrared image, with non-uniformity, of the nth frame by utilizing the obtained spatial variance and time variance, and updating a gain correction coefficient and a bias correction coefficient by using the iterative step length; and finally performing non-uniformity correction on the pixels of an overlapping region of the original infrared images, with the non-uniformity, of the nth frame and the (n-1)th frame.

The invention discloses an ant colony neighbor cell tracking system based on a cooperation and competition mode and application thereof. The system includes an initial ant colony distribution and rough classification module, a multi-ant-colony decision module and a fusion and deletion module. The initial ant colony distribution and rough classification module uses an approximate median method to extract a foreground image of cells so as to obtain initial ant colony distribution and then uses a K-mean-value clustering method to roughly divides the ant colony into N groups of sub-ant colonies. The multi-ant-colony decision module constructs a cell position estimation module, which is under the common action of N independent sub-pheromone fields and total pheromone fields, on the cooperation and competition mode. The fusion and deletion module performs multi-cell position estimation based on pheromone field construction through combination of similar sub-ant-colonies and removal of false targets caused by clutter and uses a nearest neighbor method which is easy to realize to perform cell correlation and obtain cell motion trails and kinetic parameters. The ant colony neighbor cell tracking system based on the cooperation and competition mode is capable of realizing neighbor multi-cell kinetic parameter estimation under a low-contrast-ratio cell image sequence, that is, under conditions that neighbor multi-cell kinetic characteristics are different, cells are deformed and time variance happens in cell number and the like, on the basis that no cell detection module or large quantity of cell training samples are needed, through cooperation and competition of an ant cluster system, problems of neighbor multi-cell multi-parameter estimation and tracking are solved.

The invention discloses an information recognition method and a device. The method comprises the following steps: acquiring two-dimensional gauss distribution model parameters according to a training dataset which comprises a data packet provided with type identification, and the two-dimensional gauss distribution model parameters comprise data packet load mean values, interval time mean values, data packet load variances, interval time variances and correlation coefficients; acquiring classification features of a data packet waited to be recognized according to a two-dimensional gauss distribution model; and carrying out feature recognition of the data packet waited to be recognized according to the training dataset and the classification features of the data packet waited to be recognized, and acquiring type identification of the data packet waited to be recognized. By the adoption of the information recognition method and the device, accuracy of encryption protocol identification can be improved.

Disclosed are methods and systems for adjusting a High Voltage Direct Current (HVDC) compensator output signal to an HVDC system to reduce control loop modulus due to excessive time delay of sensor measurements. Two different time windows, a Short-Time Variance Window (STVW) and an Extended-Time Variance Window (ETVW) may be examined for detection of increased energy. To detect increased energy the HVDC compensator output signal may be passed through a bandpass filter, then variances for the STVW and ETVW may be generated to produce corresponding test statistics. The STVW and ETVW test statistics may be compared to hypothesis test thresholds and have binary logic based on the hypothesis test comparisons used to generate a gain. The gain may then be multiplied times the original HVDC feedback compensator output such that the adjusted HVDC feedback compensator output reduces the control loop modulus when applied to the HVDC system.

The invention relates to a method for detecting weak edges of images on the basis of discharge information of multilayer neuron groups. The method includes constructing the multilayer neuron groups with interconnected inhibitory synapses, inputting digital images into input-layer neuron groups and representing image pixels by the time-space information of first discharge of various neurons; describing space details of the images by time variances by the aid of visual receptive fields and discharge time sequences of the various neurons, selecting attentive mechanisms in the consideration of lateral inhibition so as to acquire visual attention data of information of the images; implementing space variable-resolution mechanisms on the basis of a combination of selective attention procedures by the aid of Log-Gabor multi-direction filter results, acquiring reconstructed information of the edges of the images and reinforcing the information of the edges of the images by the aid of output-layer neuron groups. The method has the advantages that a synapse interconnection characteristic of the neuron groups is taken into consideration; simple visual information procedures of cortices are reflected by the aid of multi-direction filter mechanisms; the weak edges of the images can be effectively detected by the aid of the multilayer neuron groups.

The present invention relates to the field of agricultural machinery equipment management, specifically a large-scale agricultural machinery scheduling management system based on the Internet of Things. The scheduling management system includes an agricultural machinery terminal, a cloud network, a mobile terminal, and a dispatching center terminal. The agricultural machinery terminal collects the location and current work information of the agricultural machinery and Real-time upload to the cloud network, the mobile terminal and the dispatching center are equipped with corresponding management software, and the data can be viewed and analyzed through the management software, and the agricultural machinery can be reasonably dispatched according to the time difference of agricultural production in the region. The cloud network management system can manage online at the same time Multiple agricultural machines; the beneficial effect of the present invention: dispatching many agricultural machines in the management area of ​​the center, and rationally dispatching various types of agricultural machines according to the time difference of agricultural operations, ensuring that agricultural operations do not miss the agricultural time, and can maximize the advantages of large-scale agricultural machines; reasonable Distribute the workload of agricultural machinery and improve the work efficiency of agricultural machinery; the dispatching center can manage multiple agricultural machinery at the same time through the cloud network, realizing the regional linkage agricultural machinery dispatching mode.

The invention provides a method for predicting medium-term and long-term power load on the basis of a logarithmical load density growth curve. A load density index value is evaluated on the basis of a load growth curve for a certain functional area according to a certain relationship between load growth and load saturation degree and the characteristics, such as non-linearity, time variance and uncertainty, of the medium-term and long-term power load; and the load at different load density stages has different growth rate according to the given load logarithmical growth rate curve at different development stages of the load, so that the more complicated load growth curve prediction is realized and the precision and the speed of load prediction are enhanced. The method can be used for predicting the whole load and can also be used for predicting the load of each block in the aspect of space load prediction.

While a video stream is loaded, a subtitle information file is simultaneously loaded for displaying messages at accurate times. When contents of the video stream are required to be edited, such as an addition or deletion of video, a time variance caused by the edited video stream is first calculated, and the times for displaying the messages upon the displayed video stream are correspondingly edited according to the calculated time variances so that the messages may be accurately matched with the video stream. After the contents of the video stream require no further editing, the video stream may be combined with the messages by encoding. Therefore, image quality of the video stream is minimized.

This invention relates to a method for detecting and location noise sources, among which, every one emits related signals to be detected by sound waves and vibration sensors, each sensor emits coherent electric signals varying along with the time variance. The method includes: getting electric signal emitted by a sensor along with the variance of the time, ever signal from the sensor is the sum of signals emitted by the noise sources. The electric signals are amplified and filtered and digitalized.