94 results about "Energy estimation" patented technology

A cognitive radio wireless device (114) dynamically manages signal detection in a cognitive radio system (100). Spectrum sensing is performed for a first sensing frame on at least one communication channel. At least one observed signal is received (204) on the at least one communication channel. A detection decision (210) is performed to determine if the observed signal is noise or an active signal associated with an active user. The detection decision (210) is performed by comparing observed signal energy estimation with a current detection threshold. The current detection threshold can be an arbitrarily defined threshold or a detection threshold based on a previous detection decision for a sensing frame immediately prior to the first sensing frame.

The present invention discloses a non-mechanical module for estimation of pedaling torque and consumed energy of bicycler and also for tracking control of an electrical bicycle speed, which utilizes the measured bicycle speed, slope and motor output torque to estimate the pedaling torque applied by the bicycler, the consumed energy of the bicycler, and to determine the torque needing to be output by the motor in order to perform the tracking control of the electrical bicycle speed. The non-mechanical module for estimation of pedaling torque and consumed energy of bicycler of the present invention comprises: an estimation program package, a bicycle speed sensor, and a slope sensor, and if it is utilized in the electrical bicycle, a motor torque sensor is needed additionally. The estimation program package is embedded inside a single-chip microprocessor. The single-chip micropressor receives the measured bicycle speed, slope and motor output torque, and after calculation, outputs the estimated pedaling torque, which can be utilized to determine the torque needing to be output by the motor of the electrical bicycle. Further, via multiplying the bicycle speed, the estimated pedaling torque can be utilized to calculate the output power of the bicycler, and the energy consumed by the bicycler can thus be obtained. Furthermore, if the control object of the single-chip microprocessor is the current bicycle speed, the estimated motor torque can be utilized in the tracking control of the electrical bicycle.

A method of estimating background noise in a signal. The signal is divided into blocks of equal predetermined length. The minimum energy of the signal during the length of each block is determined. The minimum energy determined for the current block is compared to a previous determination of minimum energy. If the current minimum energy exceeds a predetermined maximum energy level, the current block minimum energy is discarded and the previous determination remains unchanged. If the current block minimum energy is below the previous determination, the previous estimate is reduced by the difference between the previous determination and current minimum energy. If the current energy is above the previous determination but below the maximum, the previous estimate is increased by half of the difference between the current energy and the previous estimate. The increase factor may also be adjusted to increase the current estimated energy level by a factor of any amount between and including 0 and 1. The estimation of minimum energy, or background energy, therefore decreases in direct proportion to a drop in minimum energy determination but increases only as a partial factor of new determinations.

A system and method for determining an information communication path based on energy requirements. Various aspects of the present invention provide a method that comprises identifying a plurality of information communication paths that may be utilized to communicate information (e.g., one or more units of information). A communication path identification module may perform such identification. Respective amounts of energy to communicate the information may be estimated for at least a portion of the identified plurality of information communication paths. A communication energy estimation module may perform such estimation. An information communication path may be selected from the identified plurality of information communication paths based, at least in part, on the estimated respective amounts of energy. A communication path selection module may perform such selection.

The invention provides a rotary-type air pre-heater air leakage rate real-time estimation method based on differential pressure. The method includes the steps that (1) related pressure, temperature and flow measuring point data of smoke of an air pre-heater and inlets and outlets of primary air and secondary air are read at a given moment from a real-time database of a DCS; (2) specific heat and density of the smoke and the inlets and the outlets of the primary air and the secondary air are calculated on the basis of an air physical property parameter library; (3) instant total air leakage quality flow is calculated according to energy balance of the smoke side and the air side, and an instant air leakage area is obtained and is stored in a stack mode; (4) the daily average air leakage area of the latest 24 hours is calculated at a fixed moment every day, and the average air leakage area is updated with the weighted average value of the daily average air leakage area of the latest days; (5) on the basis of the pressure difference and the average air leakage area, an instant total air leakage quality flow correction value and the air leakage rate are obtained. The method can be used for monitoring air leakage conditions of the air pre-heater on line, the maintenance cycle of the air pre-heater can be determined and tail smoke energy estimation can be corrected.

The present invention relates to a system (100) and method (800) capable of indirectly monitoring respiratory and cardiac variables. A decomposition technique on time-series of features extracted from the chest audio signal α(t) is proposed. The proposed monitoring system (100) may acquire the acoustic signal on the chest of a subject (140) by means of a wearable transducer (150). The proposed system may estimate a number of physiological variables such as flow estimates, respiration rate, inspiration and expiration markers and cardiac related variables. Cough and apnea detection, adventitious sound recognition, activities performed, and information about energy estimation and the status of a monitored subject can be derived as well.

The utility model relates to a battery remaining energy estimation method based on particle filtering. A current method can not satisfy the online detection requirement and has poor precision. In the method, a battery end voltage and a battery power supply current at the moment are measured firstly; then the charge states of the battery at each moment are represented by a state equation and an observational equation; initialization process is implemented then; and a particle filtering arithmetic is adopted for implementing circular recursion; and the state estimation value obtained through recursion is the battery remaining energy at the moment obtained by estimation. Quick estimation on the battery remaining energy can be conveniently implemented through the battery dump energy estimation method based on particle filtering. The battery remaining energy estimation method based on particle filtering has quick convergence rate and high estimation precision.

The invention relates to a TOA estimate method and apparatus thereof. The method comprises: performing channel estimation according to interference eliminated NB and local training sequence, and generating a channel estimation value; performing TOA estimation according to the channel estimation value, and adjusting the synchronous position of the current NB according to the TOA estimation result. By eliminating interference to signal before TOA estimation, the embodiment of the invention avoids the energy estimation deviation, which influences the TOA estimation, caused by interference in the existing intensive interference wireless environment. The technical solution in the embodiment of the invention can achieve more accurate energy estimation in intensive interference wireless environment, and needs not to adjust the searching window adjustment method.

A technique for performing AGC and DC compensation in a receiver. The receiver comprises an energy estimator for generating an estimate of the level of a received signal; an RF device to apply gain to the received signal; an AGC for controlling the RF device gain based on the energy estimation; a first DC compensation loop for finely adjusting the DC component of the received signal in fast or slow tracking mode (FTM or STM); and a second DC compensation loop for coarsely adjusting the DC component of the received signal. Three modes of AGC operations: In Acquisition, iterations of FTM fine DC adjustment, short energy estimation, and RF device gain adjustment are performed during signal timing detection. In Connected, long energy estimation, RF device gain adjustment, and STM fine and coarse DC adjustments are performed during superframe preamble. In Sleep, FTM fine DC adjustment, short energy estimation, and RF device gain adjustment are performed during superframe preamble.

A method of performing energy estimations operations in an intensive energy consuming site or system environment, the method comprising the steps of: (a) inputting a series of energy, emission and influencing data variables related to the intensive energy consuming site or system environment; (b) performing a first energy use prediction operation utilising a first prediction technique; (c) performing a second (simultaneous) similar energy use prediction operation utilising a second prediction technique; (d) correlating the results of the two techniques and; (e) providing a pass or fail signal depending on the level of correlation between the two techniques.

The invention relates to a loose part diagnosis method for a nuclear power station, which comprises the steps as follows: (1) event database building; (2) event signal analysis; and (3) positioning and quantitative calculation. The loose part diagnosis method for the nuclear power station is used for fault monitoring and diagnosis for the nuclear power station, timely analyzes the loose part alarm events after a loose part monitoring system gives off the alarm fault signal, confirms the features of the loose part and estimates the positioning quality of the loose part. The positioning error of the loose part events is 0.5m, the quality estimation error of the loose part is plus-minus 50% and the energy estimation error is plus-minus 50%.

The invention discloses a quantum system ground state energy estimation method and system, and relates to the technical field of quantum. According to the invention, the wave function output by the PQC is post-processed by adopting the neural network, the neural network can play a role of a general function approximator, and compared with a Jastrow factor, the neural network has higher expression ability and ground state energy approximation ability, so that improvement of the accuracy of ground state energy estimation is facilitated. Moreover, the measurement circuit is added after the PQC, the measurement circuit is used for executing the transformation processing corresponding to the Fouli character string on the output quantum state of the PQC, the transformed output quantum state is obtained, and the resource consumption in the measurement estimation process can be reduced through the transformation, so that under the consumption of polynomial resources, measurement and unbiased estimation of the Fouli character string and even the general Hamiltonian are completed.

The invention discloses a self-adaptive single-frequency narrow-band interference trapped wave filtering device and double-frequency filtering equipment. The self-adaptive single-frequency narrow-band interference trapped wave filtering device comprises a self-adaptive single-frequency trapped wave filter, a single-frequency interference signal frequency estimating and updating unit, an input signal and interference signal energy estimation unit and a self-adaptive single-frequency trapped wave filter output selection device. The double-frequency filtering equipment comprises two self-adaptive single-frequency narrow-band interference trapped wave filtering devices which are in cascade connection with each other and an auxiliary trapped wave filter. The self-adaptive single-frequency narrow-band interference trapped wave filtering device is expanded to a self-adaptive double-frequency wave trap and has a flexible hardware structure to achieve different functional combinations, that is, one or two single-frequency narrow-band interference signals are removed in a self-adaptive mode, so that the deviation of an estimated value of the narrow-band interference frequency is small, and the wave trapping effect is good.

The invention discloses a method for defending frequency spectrum detection data falsification attack in a cognitive wireless network, which comprises the following steps: establishing a frequency spectrum detection model, acquiring local energy estimation level-values by detecting a target frequency band by a secondary user, establishing a wireless communication link and exchanging updating local energy estimation level-values by the secondary user and neighbor users to generate a neighbor user set, calculating local update by the secondary user and sending energy estimation level-values to the neighbor users for consistency processing / repeating the above steps so as to converge all energy estimation level-values in preset sharing values within an error range. The method for defending frequency spectrum detection data falsification attack in the cognitive wireless network ensures detection-loss rate and false-alarm rate are lower than the regular level, improves safety in cognitive wireless field and maximizes the use of wireless resources. The method has the advantages of stable and reliable working performance and wider application range.

A method and apparatus for use in suppressing acoustic echo in a target speech signal being transmitted through a packet-based communications network uses frame energy estimation applied to the target speech signal and to a reference speech signal. The method or apparatus estimates one or more reference speech energy levels in one or more reference packets based on one or more of the speech parameters generated by the speech encoding of the reference signal; estimates a target speech energy level in a target packet based on one or more of the speech parameters generated by the speech encoding of the target signal; compares the target speech energy level to one or more reference speech energy levels; and detects an echo in the target speech signal based on the comparison of the target speech energy level to the one or more reference speech energy levels.

A technique for estimating energy consumption of a portable electronic device is described. During this energy-estimation technique, the portable electronic device determines hardware-state information for communication subsystems that implement different communication protocols, and software-state information for the communication protocols. Then, using models for the communication subsystems, and the hardware-state information and the software-state information, the portable electronic device estimates the energy consumption. Based on the estimated energy consumption, certain percentages of the battery charge may be allotted for different applications or features, battery-life diagnostics may be improved, and useful information may be provided to a user about the battery drain on their portable electronic device.

The invention belongs to the field of frequency estimation and energy estimation and relates to a frequency estimation and energy estimation method having a feedback function. The method is characterized by, in a feedback mode, through first Chirp_z transformation, roughly estimating f0 and obtaining new resolution and bandwidth; carrying out second transformation according to parameters obtained through the first transformation to obtain new f0 and energy; and placing the original f0 by the new f0 obtained each time, such that frequency estimation and energy estimation precision is improved, and f0 can be tracked. The method can realize high-efficiency high-precision frequency estimation and energy estimation.

A cognitive radio wireless device (114) dynamically manages signal detection in a cognitive radio system (100). Spectrum sensing is performed for a first sensing frame on at least one communication channel. At least one observed signal is received (204) on the at least one communication channel. A detection decision (210) is performed to determine if the observed signal is noise or an active signal associated with an active user. The detection decision (210) is performed by comparing observed signal energy estimation with a current detection threshold. The current detection threshold can be an arbitrarily defined threshold or a detection threshold based on a previous detection decision for a sensing frame immediately prior to the first sensing frame.

The invention discloses an intelligent micro-grid energy storage control method. The intelligent micro-grid energy storage control method is an algorithm integrating micro-grid coordination control, energy storage management and energy balance. The control method coordinates internal control with energy balance of a micro-grid, energy storage, micro-grid and power grid energy models are built, and independent energy control is integrated into a system for stable and effective operation. Compared with a traditional micro-grid control method, micro-grid operation is safer and more reliable, energy estimation of an energy storage device is more accurate, parallel running of the power grid, the energy storage device and power generation devices inside the micro-grid is more coordinated and more stable, the arithmetic method applies the simple frame structure, software and hardware matching is more practical, and the method can be better implemented in various platforms.

There is provided a method for determining an energy level of a physical system using a quantum computer, wherein the energy level of the physical system is described by the summation of a plurality of summands. The method comprises performing an energy estimation routine which comprises preparing an ansatz trial state using an arrangement of quantum gates, wherein the ansatz trial state has a trial state energy dependent on a trial state variable, and estimating an expectation value of each summand respectively. The estimating comprises constructing, based on the arrangement of quantum gates,an initial quantum circuit to operate on the ansatz trial state and further comprises performing a summand expectation value determination sub- routine a plurality of times in an iterative process. The energy estimation routine further comprises summing the expectation value estimates of each summand to determine an estimate for the trial state energy. The method further comprises determining theenergy level of the physical system by applying an optimisation procedure to the energy estimation routine, wherein the optimisation procedure comprises iteratively updating the trial state variableand performing the energy estimation routine a plurality of times to determine a respective trial state energy for each of a plurality of different ansatz trial states.

A system and method for determining an information communication methodology based on energy requirements. Various aspects of the present invention provide a method that comprises identifying a plurality of information communication strategies that may be utilized to communicate information (e.g., one or more units of information). A communication strategy identification module may perform such identification. Respective amounts of energy to communicate the information may be estimated for at least a portion of the identified plurality of information communication strategies. A communication energy estimation module may perform such estimation. An information communication strategy may be selected from the identified plurality of information communication strategies based, at least in part, on the estimated respective amounts of energy. A communication strategy selection module may perform such selection.

The invention provides a residual energy evaluation method and system for a battery, and the method comprises the steps: obtaining the current, total voltage, cell voltage and cell temperature of the battery; calculating and obtaining the service life information of the battery through the current, total voltage, cell voltage and cell temperature of the battery; querying first residual energy corresponding to the current, the total voltage, the cell voltage, the cell temperature and the service life information according to a residual energy parameter table. The residual energy of the battery can be estimated through the above method, and a problem that there is no method for estimating the residual energy of the battery is solved.

The invention relates to a method for estimating a damage scope of physical explosion of a natural gas pipeline for a human body. The method provides a linear physical explosion energy concept of a high-pressure natural gas in the pipeline, an isentropic expansion principle based linear physical density energy estimation method, a natural gas pipeline physical explosion shock wave attenuation law, a peak value overpressure estimation method, and a grade division method for damage degrees of the physical explosion shock waves of the natural gas pipeline to surrounding personnel. Grade division of the damage degrees of the physical explosion shock waves of the natural gas pipeline to the personnel and the damage scope determined according to the grade division are determined according to parameters which are estimated by the method. The method for estimating the damage scope of the physical explosion of the natural gas pipeline for the human body is safe, reliable, strong in applicability and easy to use, and can realize estimation of the damage scope of the natural gas pipeline physical explosion shock waves to the personnel along the whole pipeline.

An IVMD and energy estimation combined DSPI phase filtering method comprises the following steps: the mode quantity after decomposition is preset in the VMD technology decomposition process, the number of mode components after the decomposition is estimated according to the length and the width of a phase diagram, and an optimal mode quantity is selected by using an orthogonal index; variational mode decomposition is carried out on a DSPI phase diagram according to the optimal mode quantity to obtain a series of mode function components which are frequency modulation and amplitude modulation components; the energy of the frequency modulation and amplitude modulation components is calculated, and the energy of the component after the decomposition is used to estimate the energy of noise components; and a curve change graph between the energy log value and the mode component quantity is analyzed, and noiseless components are extracted to obtain a filtered DSPI phase diagram. The method avoids the problem of setting the mode number in the VMD decomposition process on the premise of a large amount of noises contained in a speckle phase diagram, and uses the IVMD to perform filtering processing on pictures to remove noise interference in order to obtain accurate phase measurement information.

The invention discloses a voice activity detection method and device, and a computer readable storage medium. The method comprises the following steps of acquiring a sound signal; carrying out signalenergy estimation on the sound signal to obtain an energy estimation value of the sound signal; judging whether the energy estimation value of the sound signal exceeds an energy threshold value or notto obtain a judgment result; and when the judgment result is that the energy estimation value of the sound signal does not exceed the energy threshold value, carrying out voice activity detection onthe sound signal to obtain a voice activity detection result. According to the method provided by the embodiment of the invention, the accuracy of voice activity detection in a noisy environment can be improved on the premise of not increasing the memory occupation and operational consumption.

Search dispatching is dependent on time for searching control channel in set, the number of control channel in set and the intensity of these channels. Generally, given control channel is received inseveral time offset. Each offset is related to multiple routes of control channel. One PN offset region (searching window) should be a region for searching each control channel. Energies in the window discovered from all multiple routes are summed to form the energy estimation for the control channel. Network provides size of search window in system parameters. SRCH_WIN_A defines window width of initiative set and candidate set. SRCH_WIN_N defines window width of neighbor set.

A battery management method and system are provided. The method includes acquiring one or more parameters associated with the battery. The one or more parameters includes a current level, a voltage level, a State of Charge (SOC), and a temperature. The method includes determining a load and energy estimation model based on the one or more acquired parameters. The method includes identifying a power limit of the battery based on the load and energy estimation model. The method includes determining a power margin of the battery at a first usage time interval based on the identified power limit. The method includes performing one or more actions, based on a determination that the power margin of the battery exceeds a predefined threshold level.

A phase detecting module capable of optimizing detection accuracy and noise robustness, and a detecting method, are included. The phase detecting module includes a phase detecting circuit, an energy estimating circuit and a selecting circuit. The phase detecting circuit detects a phase of an input signal to generate a phase detection value. The energy estimating circuit estimates energy of the input signal to generate an energy estimation value. The selecting circuit selectively outputs the phase detection value according to the energy estimation value.