122 results about "Estimated Weight" patented technology

A method for estimating weight of a payload held by load lifting machine 1, wherein the load lifting machine comprises lifting linkage with a boom 5 pivotably connected to a machine chassis 2, the method comprising calculating an estimation using the torque of the boom 5, torque of the boom during calibration lifts for first and second payloads, and dynamic torque adjustment determined for first and second payloads.

A method for segmenting an image comprising: determining an initial estimation of a boundary between at least two components in a region of an image to be segmented; providing image data from the region of the image to be segmented, the image data representing gray level values of a plurality of image elements of the components; modelling the image data on a mixture of at least two statistical distributions, each statistical distribution having more than one parameter, and each component being associated with certain weights of the statistical distributions in the mixture; estimating the parameters of the statistical distributions in the mixture; for each component, estimating the weights of the statistical distributions in the mixture based on the estimated parameters and the image data of each image element; and optimizing the initial estimation of the boundary between the components based on the estimated parameters and estimated weights.

A method and apparatus is provided that classifies a seat occupant into one of several different weight classes based on an estimated value of the seat occupant weight. An occupant's measured weight varies when the occupant's seating position changes or when the vehicle travels over adverse road conditions. A plurality of weight sensors are used to measure the weight exerted by a seat occupant against a seat bottom and are used to determine center of gravity for the seat occupant. A seat belt force sensor is also used to assist in classifying the seat occupant. Compensation factors using the seat belt force and center of gravity information are used to generate an estimated weight value. The estimated value of the occupant weight is compared to a series of upper and lower weight thresholds assigned to each of the weight classes to generate an occupant weight sample class. Over a period of time, several estimated weight values are compared to the weight class thresholds. Once a predetermined number of consistent and consecutive occupant weight sample classes is achieved, the occupant is locked into a specific occupant weight class. When the weight class is locked, the separation value between the upper and lower thresholds is increased to account for minor weight variations due to adverse road conditions and changes in occupant position.

The invention relates to the digital image processing technology, and provides a multi-exposure image fusion method with rapid and effective calculation. The method does not need complex image decomposition and reconstruction processes, the fusion is accomplished via a pixel weighting manner, more detailed information is displayed by the images, and the image quality is improved. According to the technical scheme of the high-dynamic-range image fusion method based on gradient and brightness information, the method comprises following steps: 1) calculating the local contrast weighting factor Li (x, y) of each inputted multi-exposure image; 2) converting an original image to a color space with the hue H, the saturation S, and the brightness I, extracting the brightness component I, and calculating the brightness weighting factor Hi (x, y); 3) estimating weight; 4) improving a weighted image by the adoption of a recursive filter and obtaining the final weighting function of each inputted image; and 5) performing weighted fusion of the multi-exposure images. The method is mainly applied to digital image processing.

The present invention describes a unique method and apparatus for applying near-infrared spectroscopy to estimate weight percent of methane in crude oil from which one can then infer gas-oil ratio (GOR) of crude oils downhole in real time while collecting a fluid sample. The correlation equations provided by this invention use two wavelengths, one centered at 1670 and the other centered at 1682 nm. Both wavelengths are primarily sensitive to the methane peak absorption. To significantly improve the fit, non-spectroscopic parameters, such as temperature or pressure, can be included in the correlation equation. Also, this invention can be used to monitor sample cleanup by monitoring the increase in GOR associated with cleanup as a fluid being pumped from the formation transitions from mostly gas-free filtrate to mostly gas-containing crude oil.

An intention estimated-weight determination processor 9 determines an intention estimated weight on the basis of an intention hierarchical graphic data 8 and an activated intention. A transfer node determination processor 10 determines an intention to be newly activated through transition, after correcting an intention estimation result according to the intention estimated weight. A dialog turn generator 13 generates a turn of dialog from the activated intention. A dialog management unit 2 controls, when a new input is provided due to the turn of dialog, at least one process among processes performed by an intention estimation processor 7, the intention estimated-weight determination processor 9, the transition node determination processor 10 and the dialog turn generator 13, followed by repeating that controlling, to thereby finally execute a setup command.

An ultrasound diagnostic apparatus according to the exemplary embodiments of the present disclosure includes: a three-dimensional data generation unit which generates three-dimensional data for each region in the body of a subject based on reflected waves reflecting back from the body of the subject after ultrasound waves have been transmitted towards the body of the subject; a measurement image selection unit which respectively selects, for each region, one of the two-dimensional cross-sections that compose the three-dimensional data, as a measurement reference image used for measuring a length of each region in the body of the subject; a measurement calculation unit which measures a length of each region in the body of the subject using the respectively selected measurement reference image, and calculates an estimated weight of the subject using the measured lengths; and a display unit which outputs the estimated weight thus calculated.

The invention discloses a trigger word tagging system and method for biomedical events. The trigger word tagging system comprises a pretreatment module, a tagging model building module and a tagging module, wherein the pretreatment module is used for acquiring a training sample and a testing sample and comprises a word segmentation unit, a protein molecule identification unit, a feature extraction unit and a pre-tagging unit; the word segmentation unit is used for acquiring the word sequence of an original text; the protein molecule identification unit is used for identifying protein molecules and replacing with a standard mode to bring more convenience for feature extraction and trigger word tagging; the feature extraction unit is used for extracting the word forms, the word characteristics and other syntactic properties and semantic properties, and finally pre-tags the word sequence as a training and testing sample set; the tagging model building module is used for building a feature template, generating characteristic functions, and estimating weights corresponding to the characteristic functions to obtain a CRFs trigger word tagging model; the tagging module is used for trigger word tagging of an unknown test sequence and displays the result on a GUI interface.

A receiver is configured for canceling intra-cell and inter-cell interference in coded, multiple-access, spread-spectrum transmissions that propagate through frequency-selective communication channels. The receiver employs iterative symbol-estimate weighting, subtractive cancellation with a stabilizing step-size, and mixed-decision symbol estimates. Receiver embodiments may be implemented explicitly in software or programmed hardware, or implicitly in standard Rake-based hardware either within the Rake (i.e., at the finger level) or outside the Rake (i.e., at the user or subchannel symbol level).

A method includes receiving weather data of weather at least one of encountered or to be encountered by one or more vehicles in a vehicle system traveling on a trip along a route. The method also includes, based at least in part on the weather data, determining a first estimated weight of the vehicle system. The first estimated weight accounts for mass attributable to the weather. The method further includes controlling movements of the vehicle system during the trip based at least in part on the first estimated weight of the vehicle system.

An Orthogonal Frequency Division Multiplex (OFDM) transmitter (100) comprises a symbol generator (103) for generating a first OFDM symbol comprising user data and pilot data where the pilot data comprises a set of predetermined non-orthogonal pilot symbols. A weight generator (109) uses an amplitude estimator (107) for selecting a set of weights for the pilot data of the first OFDM symbol in response to a time domain amplitude variation characteristic of the first OFDM symbol. In particular, the peak to average power ratio may be determined. The set of weights are selected from a discrete alphabet of weights. A weight processor (113) determines a second OFDM symbol by weighting the pilot symbols by the set of weights. The second OFDM symbol is transmitted to a receiver without transmitting identification of the selected set of weights. The receiver may perform a blind detection of the applied weights and may compensate the received pilot symbols for the estimated weight.

The invention belongs to the technical field of Internet, and discloses a method for online parallel computing of recommended information, a device for online parallel computing of the recommended information, and a server for online parallel computing of the recommended information. The method for online parallel computing of the recommended information comprises the following steps: obtaining an application ID and information bit IDs of a first user in a current application, and obtaining an information list corresponding to each information bit ID; obtaining real-time data corresponding to the application ID in a real-time and online manner, pulling historical data corresponding to the application ID, and carrying out parallel computing of estimated weights of information to be recommended in each information list according to the real-time data and the historical data; screening the information to be recommended in each information list according to each estimated weight of each piece of information to be recommended; determining the information to be recommended that has been screened from each information list to be the recommended information of an information bit identified by the information bit ID corresponding to each information list. The invention has the advantages that the real-time data which is obtained in a real-time and online manner and the pulled historical data are used for the parallel computing of the estimated weights of the information to be recommended, and the recommended information is determined according to the estimated weights, so that the determined recommended information is more accurate.

Provided are a method and an apparatus for determining a reporting period of channel quality indicator. The method includes the steps of: a) estimating a channel gain through a channel received from a base station; b) calculating a weight by using a variable for determining a fairness value and the estimated channel gain, and estimating weight channel quality to the estimated channel gain by using the calculated weight; c) comparing the estimated weight channel quality and a threshold value; and d) feeding back estimated channel quality indicator by using wireless resources assigned for the channel quality indicator feedback only in case that the weight channel quality is higher than the threshold value.

The invention discloses a method and a device for processing bulk data. The method comprises the following steps: reading data to be processed into a cache, and acquiring occupied space of the data to be processed; calculating a pre-estimated weight of the data to be processed according to a preset unit weight and the occupied space; inserting the data to be processed into a sequence of the data to be processed according to the pre-estimated weight; and placing the data to be processed in the sequence of the data to be processed into a thread for processing. In all embodiments of the invention, the data to be processed is sequenced according to the required processing time, and then bulk data can be processed according to settings of a user. Therefore, the utilization rate of each thread is improved, the waiting time of the data to be processed is reduced, and the processing efficiency is improved.

A method for determining an estimated mass of an aircraft is provided. This method includes determining a first mass of the aircraft, from characteristics of the aircraft determined before or after takeoff of the aircraft, determining, during the flight of the aircraft, a second mass of the aircraft, from a lift equation of the aircraft expressing the mass of the aircraft as a function of information representative of the load factor of the aircraft, of a lift coefficient of the aircraft, of speed information of the aircraft and of a static pressure of a mass of air passed through by the aircraft, determined from measurements by sensors of the aircraft during the flight of the aircraft, evaluating the estimated mass at said determination moment, as a function of said first and second masses.

A method for calculating the average weight of each of a plurality of portions of material fed from a hopper. The method is carried out by: first weighing the hopper; after the first weighing, dispensing a given plurality of portions of material; then, in a second weighing step, again weighing the hopper; calculating the difference between the weight of the hopper determined in the first weighing step and the weight of the hopper determined in the second weighing step, the difference constituting the loss of weight of the hopper; and dividing the loss of weight of the hopper by the given plurality of portions. The weighing steps may be performed with a weighing device having a load cell and the given plurality of portions is equal to at least the number calculated by dividing the sensitivity of the load cell by the estimated weight of each fed portion.

Provided are an object verification apparatus and method. The object verification apparatus includes a matching unit performing a plurality of different matching algorithms on a query image and generating a plurality of scores; a score normalization unit normalizing each of the generated scores to be adaptive to the query image; a weight estimation unit estimating weights of the normalized scores based on the respective matching algorithms applied; and a score fusion unit fusing the normalized scores by respectively applying the weights estimated by the weight estimation unit to the normalized scores.

This invention teaches to the details of an interference canceling receiver for canceling intra-cell and inter-cell interference in coded, multiple-access, spread spectrum transmissions that propagate through frequency selective communication channels to a multiplicity of receive antennas. The receiver is designed or adapted through the repeated use of symbol-estimate weighting, subtractive cancellation with a stabilizing step-size, and mixed-decision symbol estimates. Receiver embodiments may be designed, adapted, and implemented explicitly in software or programmed hardware, or implicitly in standard RAKE-based hardware either within the RAKE (i.e., at the finger level) or outside the RAKE (i.e., at the user or subchannel symbol level). Embodiments may be employed in user equipment on the forward link or in a base station on the reverse link. It may be adapted to general signal processing applications where a signal is to be extracted from interference.

A method and system for estimating weight of a trailer (10) being towed by a tractor (22) along a generally horizontal underlying surface. A portion of the trailer weight is borne on the tractor fifth wheel (26) and the remainder by rear wheels (18) rolling on the underlying surface. The tractor accelerates the trailer from an initial velocity to a final velocity over a time interval that is measured by a timer. The force that the tractor needed to exert on the trailer in order to change the velocity is also measured. Various data, including that force, are processed according to an algorithm to calculate the weight of the trailer by itself. Other data processed includes data (N0) representing the portion of the weight of the trailer borne through the tractor, data representing the change in velocity of propulsion (□v), data representing length of the interval of time (t), and data (μk) representing coefficient of friction of the wheels (18) with the underlying surface.

An Orthogonal Frequency Division Multiplex (OFDM) transmitter (100) comprises a symbol generator (103) for generating a first OFDM symbol comprising user data and pilot data where the pilot data comprises a set of predetermined non-orthogonal pilot symbols. A weight generator (109) uses an amplitude estimator (107) for selecting a set of weights for the pilot data of the first OFDM symbol in response to a time domain amplitude variation characteristic of the first OFDM symbol. In particular, the peak to average power ratio may be determined. The set of weights are selected from a discrete alphabet of weights. A weight processor (113) determines a second OFDM symbol by weighting the pilot symbols by the set of weights. The second OFDM symbol is transmitted to a receiver without transmitting identification of the selected set of weights. The receiver may perform a blind detection of the applied weights and may compensate the received pilot symbols for the estimated weight.

The invention discloses an auxiliary truncation particle filtering method, a device, a target tracking method and a device. The auxiliary truncation particle filtering method comprises the steps of adopting an original prior probability density function as a first importance density function for filtering particles to obtain a first mean value and a first covariance value corresponding to a target state; in the original prior probability density function, importing the current observation information and the target characteristic information based on the truncation theory to construct a corrected prior probability density function; adopting the corrected prior probability density function as a second importance density function for filtering particles so as to obtain a second mean value and a second covariance value corresponding to the target state; respectively conducting the weighted treatment on first mean value, the first covariance value, the second mean value and the second covariance value according to the estimated weight of the target state so as to obtain a posterior probability density function corresponding to the target state, and completing the particle filtering process. In this way, the particle filtering accuracy and the particle filtering real-time performance are improved. Meanwhile, the rapid target-tracking problem of a target model in the uncertainty condition caused by the target maneuvering condition in the non-linear and non-gaussian environment can be solved.

The disclosure provides a voiceprint feature extraction method and device based on an attention mechanism. The voiceprint feature extraction method includes: inputting a target speaker's speech spectral features to a deep neural network, adding an attention layer to the deep neural network, and estimating weights of different speech frames through the attention mechanism; extracting an activationfrom a last hidden layer of the deep neural network, and weighting the activation to obtain voiceprint feature d-vector. The attention mechanism is introduced herein to estimate the weight of a speechframe; voiceprint features are more distinguishable; passing rate of the target speaker can be increased at the premise of ensuring voiceprint authentication, mistaken recognition rate of non-targetspeakers is decreased, and personal user experience is improved.

A method for estimating weight of a payload held by load lifting machine 1, wherein the load lifting machine comprises lifting linkage with a boom 5 pivotably connected to a machine chassis 2, the method comprising calculating an estimation using the torque of the boom 5, torque of the boom during calibration lifts for first and second payloads, and dynamic torque adjustment determined for first and second payloads.

A system and method for establishing a weight related risk profile using RFID technology is provided. While the cargo container is in transit, a RFID reader inside a cargo container polls the contents of the container by reading RFID data from each RFID tagged item and calculate the payload weight. When the truck transporting the cargo container passes a weigh station, or a high-speed scale embedded in the road, a payload weight is measured by a scale. A risk factor is assessed by comparing the estimated weight by the RFID reader with the measured weight by the scale. According to one aspect of the invention, the RFID based polling system has the ability to map the weight and location for each tagged item and estimate a container weight distribution. The estimated weight distribution is compared with the weight distribution measured by the scale to determine potential anomalies.

A receiver is configured for canceling intra-cell and inter-cell interference in coded, multiple-access, spread-spectrum transmissions that propagate through frequency-selective communication channels. The receiver employs iterative symbol-estimate weighting, subtractive cancellation with a stabilizing step-size, and mixed-decision symbol estimates. Receiver embodiments may be implemented explicitly in software or programmed hardware, or implicitly in standard Rake-based hardware either within the Rake (i.e., at the finger level) or outside the Rake (i.e., at the user or subchannel symbol level).