775 results about "Time estimation" patented technology

An organization system using location information, possibly in conjunction with time based information for tasks, with the purpose of optimizing user travel distance and/or time to complete specified tasks. Task organization may include alternate criteria such as importance, or sharing and assigning of tasks over groups to optimize in terms of the time/location/schedule of other members of the group. The mobile system may alert users of some tasks based on the user proximity to those tasks, alert of other tasks based on both time and location, or others based solely on the current time and the time of the task. The system can provide a dynamic schedule, changing based on time estimates of the user tasks as well as actual time to complete user tasks, estimates of travel time between tasks, as well as other criteria.

A method for project management that can be used to achieve a more accurate project schedule at the beginning of, and during the life of a project. The method can be built into a software product, or used manually.

The method uses data collection, modeling, analysis, reporting and visualization to reduce the impact of risk in project scheduling and thereby improve the project's chances of a successful outcome (e.g. as measured by stronger adherence to: budget, deadline, quality and specifications).

The method introduces time estimation error, distraction rate and schedule confidence into the project schedule and provides for visualization of the schedule in the form of Gantt charts in difference views organization by component, by team member and by project.

A method (and system) of predicting a thermal state of a transient thermal system, includes combining sensor outputs and thermal parameters to construct a consistent set of estimates of internal temperature of a transient thermal system.

The present invention is a method and apparatus for automatic calibration of wireless positioning system base stations. An automated system and method for calibrating a location system comprises obtaining at least one position assertion with a corresponding base station-centric position assertion on at least on mobile communication device. A latency calibration record is maintained which includes a current base station latency estimate for a base station controller. The measured position assertion is analyzed in relation to base station-centric position assertion and the latency calibration record, to develop a new base station latency estimate. The latency calibration record is refined using the new base station latency estimate and the steps are repeated to further refine the latency calibration record.

A compilation time estimator provides a quantified estimate of the optimizer compilation time for a given query optimizer. The estimator automates the optimizer to choose the right level of optimization in commercial database systems. The estimator reuses an optimizer's join enumerator to obtain actual number of joins, but bypasses plan generation to save estimation overhead, and maintains a small number of interesting physical properties to estimate the number of plans by using a linear regression model. The estimator uses the number of generated plans to estimate query compilation time.

The invention relates to a method and a system for estimating a symbol time error in a broadband transmission system, comprising: determination a timing error signal of an input-signal of a discrete Fourier-transformation block (5) in a data symbol stream on the basis of intersymbol correlation using a predetermined period in each received symbol, selecting as a predetermined period a number of samples of different useful data parts of a symbol, determining the time error value (ε) based on the intersymbol interference of the selected samples of the different parts of said symbol.

The invention provides a system for parking time estimations, the system comprising at least one device able to sense at least momentary location and respective time; and an application server to receive from a plurality of the devices time series of location points and to calculate, based on the received time series of location points, duration of searches for parking spots. The invention provides a method for parking time estimations, the method comprising detecting beginning of searching for a parking spot by a user of a device able to sense at least momentary location and respective time; detecting time of parking; and calculating at least estimated duration of searching for a parking spot.

The invention discloses a method for estimating the health state of a power battery. The method comprises steps of acquiring the constant-current charging voltage V, current I and time t of a batteryto obtain charging capacity Q, establishing a V-Q relationship curve, acquiring a capacity increment curve peak value and peak position information, establishing a RBF neural network, training a RBF neural network model by a particle swarm optimization algorithm, and estimating the health state of the battery by using the generated RBF neural network. The method establishes a mapping relationshipamong the constant-current charging capacity increment curve peak value, the peak position and the health state of the battery by means of a data driving mode without establishing an equivalent circuit of the electric vehicle power battery, thereby improving estimation accuracy and realizing online real-time estimation for the overall estimation of a battery pack.

A system and method for estimating an expected waiting time for a person entering a queue may receive image data captured from at least one image capture device during a period of time prior to the person entering the queue; calculate, based on the image data, one or more prior waiting time estimations, a queue handling time estimation, and a queue occupancy; assign a module weight to each of the one or more prior waiting time estimations and to the queue handling time estimation; generate, based on at least the calculations of the one or more prior waiting time estimations, the queue handling time estimation, and the respective module weights, a recent average handling time for the prior period of time; and determine the expected waiting time based on the recent average handling time and the queue occupancy.

A buffer monitoring section of the display device monitors a usage status of a buffer for storing video data, and transmits this usage status information to the tuner device. A remaining buffer time estimation section estimates a remaining time of video data within the buffer based on the usage status information of the buffer. A wireless bandwidth estimation section estimates the wireless bandwidth between the tuner device and the display device. A content bit rate control section controls a content bit rate of video data transmitted to the display device based on the estimated remaining time and wireless bandwidth of the video data. A content bit rate converting section changes the content bit rate of video data, and transmits the video data from the tuner device to the display device.

A motorbike is mounted with a fuel cell system which includes a cell stack, a secondary battery which is charged by the cell stack and a controller which has a CPU. After receiving an operation stop command which is issued from a main switch, the CPU estimates a charging time for a charge rate of the secondary battery to attain a target value, based on a voltage of the secondary battery and a charge current which are detected based on detection signals from a voltage detection circuit and an electric current detection circuit, as well as based on a charging time estimation table stored in a memory. The charging time estimated by the CPU is displayed in a display.

The invention provides a wind turbine set gearbox remote online state monitoring and life assessment method. The method comprises the following steps: (1) a remote center computer collects a real-time operation parameter, temperature data and vibration data of each wind turbine through SCADA; (2) through analyzing the characteristic values of signal time domain and frequency domain, whether a vibration sensor has a fault or not is diagnosed; (3) the data is subjected to normalization process, a difference between data is reduced, and the diagnosis precision is raised; (4) when the fault of a wind generator set gearbox is diagnosed, different filtering modes are employed for different algorithms to extract the corresponding characteristic; (5) the collected data is subjected to characteristic extraction; (6) the fault diagnosis is carried out to provide the fact that whether the fault exists or not and the degree of the fault; (7) the residual life of the failed gearbox is estimated through a gray theory model, and an autoregression model is established for the residual error of the predication result to raise the predication precision. According to the method, the real-time estimation of the residual life is realized, and a basis is provided for the planned maintenance of the wind turbine set.

The invention relates to a cement decomposing furnace temperature control method based on constraint smith GPC, which includes variable selection, model recognition, optimizing computation, constraint processing and feedforward compensation; the variable selection includes that: coal powder flow is selected as a control variable, raw flow is selected as the feedforward variable and the decomposing furnace temperature is selected as the controlled variable; the model recognition includes that: the model recognizer based on least square method and retardation time estimation time is adopted to obtain a pulse transfer function model; the optimizing computation includes that: the future output state is predicated and the reference track w of the output value is also set; a secondary performance index controller is adopted for the rolling optimization, the control increment Delta u of the current time is computed to obtain control action value u through addition; the constraint processing includes that: the control variable and controlled variable are respectively performed with constraint amplitude limiting processing; the feedforward compensation includes that: the dynamic compensation principle is utilized to compute the current time t added to the feedforward control action value ud. The invention has simple recognition process, less adjustable parameters, good tracking performance, strong robustness, effectively refrains the disturbance influence caused by raw material flow and prevents saltus step of the system variable.

The invention provides an early warning method for lane departure. The early warning method for lane departure comprises the video capture device installation step, the parameter calibration step, the image preprocessing step, the edge detection step, the lane line recognition step and the lane departure early warning time determining step. The lane departure early warning time determining step comprises the vehicle off-course distance calculation step, the lane pressing time estimation step and the lane departure judgment step. In the vehicle off-course distance calculation step, the vehicle off-course distance is calculated according to the external parameters, the internal parameters and the coordinate transformation change calibrated by a video capture device. In the lane departure judgment step, the lane departure time threshold value is set, and when the lane pressing estimation time is smaller than the lane departure time threshold value, lane departure early warning is carried out. According to the early warning method, the anti-noise capacity and the anti-interference capacity of lane departure waning can be improved, the reliability of early warning for lane departure can be improved, the false alarm rate and the missed alarm rate can be lowered, the accuracy of lane pressing estimation time is improved, and therefore effective early warning for lane departure can be provided.

The invention discloses a key target identification method for an automobile cruising system. Based on the fuzzy control theory, a multi-target automobile lane changing fuzzy logic controller is designed, a dangerous lane changing automobile is prejudged, and effective identification of a straight lane key target is determined. The tilting motion influence of automobile bend running is considered, an extension Kalman filtering on-line real-time estimation of an automobile mass center side slip angle and a road curvature is achieved, the bend key target identification method is provided, a key target judgment basis is given, and effective identification of the bend key target is achieved.

A condition-maintenance-mode city rail vehicle auxiliary maintenance system is characterized in that a city rail vehicle condition monitoring module is used for receiving and synthesizing data related to operation and maintenance, performing data screening and calculation on the basis of the data related to maintenance to form key data related to maintenance, and receiving and storing diagnosing and potential safety hazard data provided by a vehicular diagnosing mainframe and a city rail vehicle potential safety hazard mining server; a safety evaluation module is used for performing city rail vehicle safety evaluation on the basis of the condition monitoring data, and performing fault analysis, potential safety hazard information screening and service life evaluation aiming at the key parts of a city rail vehicle at the same time; a maintenance redundancy design module performs maintenance scale estimation and maintenance cost estimation aiming at the evaluation results and provides reports, operation and maintenance staff makes maintenance decisions, and a resource optimization allocation module provides system urgency and time estimation at the moment; a maintenance plan making module provides interfaces allowing the operation and maintenance staff to perform fine adjustment and makes maintenance plans for vehicle maintenance according to selections.

The invention relates to a method with strong anti-multi-path capability for processing moveable underwater sound communication signals, including two parts, namely a transmitter processing method and a receiver processing method, wherein the transmitter processing method includes the operations of error correction of coding, data packing, digital interpolation, base band shaping wave filtering, upper modified frequency modulation, and the like; and the receiver processing method includes the operations of digital wave filtering, frame synchronous judgment, preliminary compensation of Dopplerfrequency shift, lower modified frequency modulation, bit synchronous judgment, fine compensation of Doppler frequency shift, digital equalization, error correction of decoding, etc. The invention carries out the intercrossing treatment on technologies of synchronous judgment, compensation of Doppler frequency shift, compensation of multi-path effect, and the like, and guarantees that under the environment of strong Doppler frequency shift, the system can realize the accurate synchronism of signals and carries out real-time estimation and compensation on the effect of strong Doppler frequencyshift; and the adopted blind equalization method can carry out effective tracking compensation on the time varying multi-path effect of an underwater sound signal channel, thereby greatly increasing the integral stability and the bit error rate performance of an underwater sound communication system and enduing the system with the capability of reliable communication during movement.

The invention discloses a SOC-SOH joint on-line real-time estimation and on-line modification method, the method comprises an SOC hardware pre-estimation module and a lithium battery equivalent-circuit parameter correction module, wherein the SOC hardware pre-estimation module utilizes a Hall current sensor to convert a heavy current signal into a low voltage signal, noise filtering is performed on the signal through a band-pass filter, the filtered signal is transmitted to an RC integrator to indirectly realize the integral for the current signal, and an integral signal acquired by an ADC is transmitted to an MCU chip to correct; the lithium battery equivalent-circuit parameter correction module comprises a square-wave pulse switch current source and a controllable electronic load, the square-wave pulse switch current source or the controllable electronic load is utilized to perform charge or discharge test on the lithium battery, the ADC is utilized to acquire terminal voltage of a battery pack, and according to the input response of charge or discharge curve, parameters of a battery equivalent model in a charge-discharge process are corrected. According to the invention, the method overcomes a circuit model parameter correction problem and realizes SOC-SOH real-time accurate on-line joint estimation.

Provided is a process of estimating time to address software-issue reports describing software bugs or feature requests in software project management computer systems based on historical performance in addressing previous software-issue reports, the process including: obtaining the workflow instance records; constructing a time-estimation model based on correlation between features of the workflow instance records and durations of time before or during execution of some or all of respective workflow instances; obtaining a workflow instance that is not completed; estimating a duration of time for the task with the time-estimation model.

The invention relates to a method for real-time estimation of the queuing length of a signalized intersection based on a vehicle track. The method comprises the following steps: (1) judging a vehicle traffic state according to real-time vehicle traffic information; (2) estimating a vehicle queue-joining key point and a vehicle queue-leaving key point according to the real-time vehicle track information, vehicle traffic state and kinematical equation; (3) identifying an upstream reached fleet according to the estimated vehicle queue-joining key point; (4) performing queuing wave and evanescent wave estimation according to the estimated vehicle queue-joining key point, the queue-leaving key point and the identified fleet; and (5) estimating the intersection signal parameter and the queuing length according to the estimated queuing wave and evanescent wave. Compared with the prior art, the method is adaptive to a data environment with low sampling frequency and low sampling rate, and has the advantages of strong robustness, high real-time performance, good accuracy and the like.