468 results about "Observation time" patented technology

A data processing apparatus in a network receives packet flows that are communicated between a first network node and a second network node, and comprises a clock and latency analysis logic configured for receiving a first data segment that has been communicated from the first node and forwarding the first data segment to the second node; storing a first time value of the clock in association with a first timestamp value obtained from the first data segment; receiving a second data segment that has been communicated from the second node and forwarding the second data segment to the first node; retrieving the first time value based on the first timestamp value; determining a second time value of the clock; and determining a first latency value by computing a difference of the second time value and the first time value. Thus end-to-end packet latency is determined by passively observing timestamp values.

A system for determination of kinematics of a moving object comprising: a sensor producing angular data for the object at a number of observation times, a state initialization unit, receiving angular data from the sensor and on basis thereof determining a first kinematic state of the object, and a tracking filter having a prediction unit, arranged to determine a predicted kinematics state of the object on bases of a kinematic model of the object, wherein the kinematic model comprises a guidance law locked on a known position, and at least one previously determined kinematic state of the object, and a state updating unit, receiving angular data from the sensor and the predicted kinematic state of the object, and on basis thereof determining an updated kinematic state of the object.

The circuitry comprises successive stages, each comprising a combinatory logic circuit connected to the input of a first latch. Staggered clock signals are respectively associated with the first latches of the odd and even stages. Means for detecting a transient disturbance affecting the first latch of a stage and liable to propagate downstream, compare, in each stage, a value present on the output of the first latch of the stage considered at an observation time with a value present on the input of said first latch at a predetermined observation time taking account of the various propagation times.

The embodiment of the invention discloses methods and devices for measuring OTDOA (observed time difference of arrival) and sending positioning assistance data and a system, relating to the technical field of wireless communications. The methods, devices and system are used for solving the problem of failure of OTDOA positioning because UE can not carry out OTDOA measurement. The methods comprise the following steps that: the UE determines the cells which can detect the signals self and sends the information of the cells to a positioning server according to the determination result; the positioning server selects the OTDOA measurement cells for the UE according to the information of the cells and sends the OTDOA assistance data including the information of the OTDOA measurement cells to the UE; and the UE carries out OTDOA measurement according to the OTDOA assistance data. By adopting the methods, devices and system, the possibility of failure of OTDOA positioning can be reduced.

Systems and methods for providing improved location such as emergency services location of mobile devices in an over the air communications system are disclosed. On receiving a request, a user equipment (UE) mobile device makes observed time difference of arrival (OTDOA) measurements on signals received from certain cell communication elements. The UE selects or prioritizes the cells based on one of several schemes, including comparing internally stored cell ID information to cell ID information provided by the network, and using lists of cells that are recently used, recently received, previously used, or on a closed subscriber group (CSG) list are alternative embodiments. The UE may prioritize home eNB cells that it is a member of for the measurements. By prioritizing the cells used for the measurements, the OTDOA measurements may be limited to a few cells and the time needed to make the measurements may be reduced.

A method includes determining a number of observations. Each observation occurs at an observation time and corresponds to one of a number of received frequency multiplexed training symbols. The method also includes determining a number of roots of a first polynomial equation that is a function of a variable corresponding to frequency offset errors of carrier frequencies of the training symbols. Constants in the first polynomial equation are determined using at least the observations. The roots of the variable correspond to possible frequency offset errors. Based on at least the observations, the possible frequency offset errors, and possible symbol timing offset errors of the observation times of the training symbols, a number of estimated channel responses are determined corresponding to the training symbols. The method includes using a second polynomial equation that is a function of at least the estimated channel responses, the possible frequency offset errors, and the possible symbol timing offset errors, determining at least a resultant frequency offset error and a resultant symbol timing offset error. The method further includes using the resultant frequency offset error and resultant symbol timing offset error in order to receive at least one frequency multiplexed data symbol.

Provided are a method which permits complete training data and data with added errors, and enables the early and accurate discovery of errors in facilities such as a plant, and a system thereof. To achieve the objectives, (1) the behavior of temporal data is observed over time, and the trace is divided into clusters; (2) the divided cluster groups are modeled in sub spaces, and the discrepancy values are calculated as errors candidates; (3) the training data are used (compare, reference, etc.) for reference to determine the state transitions caused by the changes over time, the environmental changes, the maintenance (parts replacement), and the operation states; and (4) the modeling is a sub space method such as regression analysis or projection distance method of every N data removing N data items, (N=0, 1, 2, . . . ) (for example, when N=1, one error data item is considered to have been added, this data is removed, then the modeling is performed), or a local sub space method. Linear fitting in regression analysis is equivalent to the lowest order regression analysis.

The invention provides a pressure-balanced type portable device for soil gas collection. The pressure-balanced type portable device comprises a gas collection box and a gas extraction device, wherein the gas collection box mainly comprises a top cover, a collection box and a base; a first piston is arranged in the top cover; and the base comprises an upper part and a lower part which are provided with an adjustable included angle. During a gas collection process, the internal pressure and the external pressure of the collection box are balanced via the up-and-down movement of the first piston, thus reducing the influence of the pressure change in the collection box on the emission of soil gas, ensuring observation accuracy, and shortening observation time; and particularly, the pressure-balanced type portable device is small in sampling area and good in sealing performance. The pressure-balanced type portable device disclosed by the invention can also be applied to a slope environment with a certain angle by designing the base to be an upper base and a lower base which have an adjustable angle. Additionally, the pressure-balanced type portable device disclosed by the invention also has the advantages of being convenient in getting materials, easy to detach and carry, simple to operate, etc.

This invention provides a selecting method for switching target areas based on system frame numbers observation time difference variety rate including: selecting candidate areas meeting switch conditions and listing, testing the system frame number abservation time differences for the candidate areas and reporting them periodically, computing the measured frame observation time difference change rate of the adjacent areas in a period of time at the network side, judging the moving trend of the user terminal and setting the switch priority of the candidate area, selecting the area with the highest priority as the switch target area to switch the terminal to the target area.

A system including an image system located at a client facility for observing a facility. A surveillance system is in network communication with the image system and located at the facility to be observed. A compliance assurance system has a server independent of, but in network communication with the client facility and facility to be observed, wherein shared rights for scheduling observation times between the client facility and the facility to be observed are coordinated through the compliance assurance system.

The invention provides an FPGA debugging system and method. By reading debugging signal information written by an FPGA to an off-chip storage unit with relatively large capacity and sufficient interface bandwidth for storage, the debugging signal observation time is greatly prolonged on the premise of keeping a sufficient debugging signal quantity, so that the problems of repeated selection of debugging signals and repeated try of triggering opportunities inevitable in an existing debugging mode can be avoided, the condition that a very time-consuming FPGA realization process needs to be repeatedly carried out for debugging is avoided, and the FPGA debugging efficiency is greatly improved; and the difficult problem that large-time-span exceptions cannot be diagnosed in an existing debugging technology can be solved.

The invention belongs to the technical field of an intelligent traffic system, and relates to a bus arrival time prediction method which includes two parts of static prediction and dynamic adjustment. Firstly the duration time of a bus from a starting station to each station is predicted by using a static prediction model, and then the static prediction time is dynamically adjusted by using a dynamic adjustment model according to observation time of the bus arriving at each station, wherein the process concretely comprises the steps of acquiring historical data, converting the historical data, normalizing the conversion data, selecting network node number, determining a basic time sequence 1, starting dynamic adjustment, determining a basic time sequence 2, calculating the final prediction value and evaluating the prediction result. According to the method, prediction is performed by the mode of combining the static prediction model and the dynamic adjustment model so that the prediction accuracy can be effectively enhanced. The method is novel and unique, ingenious in design concept, accurate in prediction result, great in application environment and wide in market prospect.

The invention discloses an imaging quality priority task scheduling method. The method comprises the following steps of: first, calculating a visible time window, meeting an imaging quality requirement, of a task according to satellite orbital data, posture maneuvering capability, ground target position information and the imaging quality requirement, and sequencing all tasks according to the start time of the visible time window; then, calculating the best observation time point of the task, and scheduling the task; when the task is scheduled, firstly judging whether a current task is conflict with the last scheduled task; if the current task is conflict with the last scheduled task, determining that the current task does not need to be predicted and cannot be scheduled; if the current task is not conflict with the last scheduled task, acquiring a predicting task group of the current task; judging whether the current task is conflict with the tasks in the predicting task group; if the current task is conflict with the tasks in the predicting task group, accepting or rejecting the current task according to a rule; if the current task is not conflict with the tasks in the predicting task group, determining that the current task can be scheduled; for the current task which can be scheduled, writing a posture maneuvering action and an observation action of a satellite in a satellite action sequence; and finally, outputting the satellite action sequence as a task scheduling result.

Systems and methods are disclosed herein to use what is referred to as adaptive continuous tracking (ACT) to reduce the power consumption of GNSS receivers. In GNSS receivers, performance as measured by position accuracy is a function of the observation time of the satellites. A longer observation time translates into more reliable range measurements and demodulated data, and ultimately into better positioning accuracy of the receivers. However, a longer observation time also means more power consumption. ACT allows satellite observation time to be tuned to the desired positioning performance by dynamically adjusting the on time period of the receivers while maintaining a minimum performance metric. The performance metric may be formed from a combination of the estimated position error, the horizontal dilution of precision (HDOP), the data collection state, and the receiver operating environment as characterized by the carrier to noise ratio (CN0). ACT cyclically switches on / off the radio frequency (RF) front-end and also cyclically enables / disables the baseband hardware of the receivers to reduce power consumption while allowing the receivers to meet the minimum performance metric and ensuring continuous satellite tracking, continuous positioning fix operation, multiplexed GNSS operation, and continuous data collection.

The invention discloses a new method for controlling the cooling degree of baked food. In the method, the cooling degree of food to be baked can be controlled automatically by combining a color sensor for achieving the optimal baking effect on the food, and the method is simple and accurate, is convenient and easy to operate, can save a large amount of time for a user and improve the product use experience of the user of an oven or microwave oven, and therefore has a great production and practice significance. In the new method for controlling the cooling degree of the baked food, the user can allow a baking device to bake the food automatically according to the preset heating operation scheme only by putting the food to be baked into the baking device such as the oven or the microwave oven and selecting and inputting the type of the food to be baked without determining the cooling degree of the food artificially by means of the conventional baking experience, so that the food has excellent color and luster and offers a good mouthfeel, the observation time of the users is saved greatly, a great convenience is brought to the user, and the product use experience of the users is enhanced .

The invention provides a navigation satellite autonomous time synchronization method based on synthetic aperture observation. The method comprises the following steps: all the cooperative observation satellites and a reference satellite perform timing observation on the same millisecond pulsar at the same time; the reference satellite completes time delay correction between each cooperative observation satellite and the reference satellite by the relative position measurement data between satellites at different times, and stacks each group of observation data completing the time delay correction to obtain the observation waveform of a synthetic aperture timing observation system; the clock error of an onboard clock of the reference satellite is measured; and the clock error between each satellite of a navigation constellation and a standard time TCB is measured and the clock error correction value is broadcast in the broadcast ephemeris of each satellite so as to complete the autonomous time synchronization of the navigation satellite. The method achieves the technical effects of reducing the X-ray detector load of the navigation satellite, shortening the observation time, and improving the autonomous time synchronization precision and real-time property of the navigation satellite.

The invention relates to a method for realizing oil-gas detection by applying a long-offset distance transient electromagnetic array method. The method comprises the following steps: firstly, carrying out ATEM (analytical transmission electron microscopy) observation on a detection region to acquire data; selecting measuring points without obvious distortion or negative anomaly of electric field components while an induced polarization field is not stripped, utilizing the ATEM data for inversion, and acquiring a high-resolution lamellar specific resistance model in a detection region; then carrying out ATEM forward operation to obtain transient induced electric field or magnetic field attenuation curves of all the measuring points in the detection region; substracting the electric field or magnetic field component attenuation curve acquired during forward operation by the actually observed ATEM electric field or magnetic field component attenuation curve at the same observation time point to obtain a time domain induced polarization spectrum; applying a time domain induced polarization method for inversion to obtain the polarizability of an underground medium; and carrying out detection and evaluation on an oil-gas reservoir by utilizing the specific resistance and polarizability parameters. According to the invention, the accuracy and reliability of exploration on the oil-gasreservoir by utilizing an electromagnetic method are greatly enhanced, the working efficiency is improved, and the exploration cost is lowered.

A gateway apparatus includes a first network controller, a second network controller, and a time synchronization control unit. The first network controller has a first timer time-synchronized with nodes within a first network domain. The second network controller has a second timer time-synchronized with nodes within a second network domain. The time synchronization control unit includes a processor configured to store the observed times of the switching points of synchronized time slots within the first network domain, based on system time within the second network domain, and adjusts the rate of the second timer based on a comparison of a time difference between the successive observed times and a nominal length of the time slots.

The invention relates to a determination method of pulse TOA of X-ray pulsar-based navigation. The method comprises the steps of firstly, performing pulse contour folding in a selected folding cycle according to a photon sequence obtained within the observation time, performing normalization so as to obtain a normalized intensity vector, then performing feature subspace decomposition on a covariance matrix of the normalized intensity vector, so as to obtain a noise subspace matrix, constructing a searching vector according to a standard pulse contour, then obtaining a spectrum of the pulse TOA from the noise subspace matrix and the searching vector, and searching a spectrum peak value of the spectrum of the pulse TOA, so as to obtain a value of the pulse TOA. According to the method, the pulse TOA is determined on the basis of the feature subspace decomposition, so that the calculation accuracy of the pulse TOA can be effectively increased, and the pulse contour folding is adopted, so that the approximation degree of a pulse contour estimated value and the standard pulse contour is increased, thereby increasing the calculation accuracy of the pulse TOA within the observation time.

A system for determination of kinematics of a moving object comprising: a sensor producing angular data for the object at a number of observation times, a state initialization unit, receiving angular data from the sensor and on basis thereof determining a first kinematic state of the object, and a tracking filter having a prediction unit, arranged to determine a predicted kinematics state of the object on bases of a kinematic model of the object, wherein the kinematic model comprises a guidance law locked on a known position, and at least one previously determined kinematic state of the object, and a state updating unit, receiving angular data from the sensor and the predicted kinematic state of the object, and on basis thereof determining an updated kinematic state of the object.

Provided are a method which permits complete training data and data with added errors, and enables the early and accurate discovery of errors in facilities such as a plant, and a system thereof. To achieve the objectives, (1) the behavior of temporal data is observed over time, and the trace is divided into clusters; (2) the divided cluster groups are modeled in sub spaces, and the discrepancy values are calculated as errors candidates; (3) the training data are used (compare, reference, etc.) for reference to determine the state transitions caused by the changes over time, the environmental changes, the maintenance (parts replacement), and the operation states; and (4) the modeling is a sub space method such as regression analysis or projection distance method of every N data removing N data items, (N=0, 1, 2, . . . ) (for example, when N=1, one error data item is considered to have been added, this data is removed, then the modeling is performed), or a local sub space method. Linear fitting in regression analysis is equivalent to the lowest order regression analysis.

The invention discloses an estimation method for train running state parameters based on time-frequency map processing of optical fiber sensing which comprises the following steps of: acquiring signals in real time through an optical fiber buried in the train track to acquire a time-space vibration signal of the running process of the train along the track; acquiring a time-frequency map of an observation time window signal when the train passes through each spatial position based on the acquired time-space vibration signals; performing NLM nonlinear de-noising on the time-frequency map to acquire a de-noised time-frequency map; performing image processing on the de-noised time-frequency map to obtain a train outline image; and extracting the basic outline and boundary parameters of the train based on the train outline image, and calculating train running state parameters according to the basic outline and boundary parameters estimated at different positions. According to the estimation method for train running state parameters based on time-frequency map processing of optical fiber sensing, the online detection and estimation of continuous time-space of train running states in long distance, large range and strong noise background are solved.

The present invention provides a device maintenance information processing method and device, a computer device and a storage medium. The method comprises the steps of: obtaining model input data of aplurality of devices according to faults having happened in each device in the devices, inputting the model input data of each device into a prediction model for training, employing a trained prediction model to perform prediction and obtain one prediction fault frequency and prediction maintenance cost of each device in a future observation time quantum, and determining total cost data of each device according to the prediction fault frequency and the prediction maintenance cost of each device. The prediction model is employed to perform prediction of the fault frequency and the maintenancecost of each device in the future observation time quantum to determine the total maintenance cost of each device, and therefore, the problem is solved prediction is inaccurate caused by predication of fault frequency and the maintenance cost of each device through people's experience or simple algorithms.

The invention discloses a carrier phase ambiguity fixing method and device, and a satellite navigation receiver. The method comprises the following steps of: establishing an inter-receiver inter-satellite double-difference observation equation, wherein the unknown quantities of the inter-receiver inter-satellite double-difference observation equation include a single-frequency ambiguity and at least one wide-lane ambiguity; establishing a Kalman filtering observation model and a Kalman filtering dynamic model according to the inter-receiver inter-satellite double-difference observation equation; obtaining and solving multi-frequency-point real-time observation data according to a kalman filtering algorithm to obtain the floating point solutions of the wide-lane ambiguity and single-frequency ambiguity; subjecting the floating point solutions of wide-lane ambiguity and the single-frequency ambiguity to ambiguity of whole cycles fixing. The method and device can eliminate the influence of an ionosphere residual error, accurately and quickly solve the ambiguity, and thus guarantee positioning accuracy and shorten observation time.

The invention discloses a detection method of an open synchronization error, comprising: acquiring time difference from terminals to different TD-SCDMA system base system (TD base station); acquiring observation time difference from different TD base stations to the same terminal; computing the open synchronization error between different TD base stations, according to the time difference of the acquired terminal to the TD base station and the observation time difference from different TD base stations to the same terminal; multimetering the open synchronization error and getting averaging. The invention also discloses a detection device of an open synchronization error, according to the detection method and the device provided by the invention, from the observation time difference from the different TD base stations to the terminal to perform pilot frequency phase measurement by the downstream pilot signal or the basic common control channel (PCCPCH) of the TD base station, the time difference from the same terminal to different TD base stations is eliminated, thereby increasing detection accuracy of the open synchronization error, requiring no assistant devices, operation is convenient.

An image processing apparatus includes a recognition unit that recognizes each cell area corresponding to a living cell from a series of observation images captured at observation time points; a measurement unit that measures cell characteristic amounts of each cell; a tracking unit that determines whether a cell area captured at a processing target time point and a cell area captured earlier than the processing target time point has an identity with each other, and associates the cell areas which have an identity with each other; and a cell division detection processing unit that measures relative position information between a target cell area to be processed and a peripheral cell area positioned around the target cell area, determines whether cell division has occurred in a living cell based on at least the relative position information, and detects a target cell area on which cell division has occurred.

The invention is related to an equalizer comprising, for instance: means for creating a first covariance matrix and defining a Cholesky decomposition matrix of an inverse matrix of the first covariance matrix, means for removing selected covariance components from the Cholesky decomposition matrix, means for computing the inverse of a sub-matrix, which represents the common part of the first covariance matrix and a second covariance matrix, which includes covariance estimates of a second observation time, by using the aid of the Cholesky decomposition of the inverse matrix of the first covariance matrix, means for estimating interference from a received signal at a second observation time and determining additional covariance components on the basis of the estimation and means for creating the Cholesky decomposition of the inverse matrix of the second covariance matrix by using unitary rotations.

A system and method for simulating clinical trial protocols with compiled state machines is presented. The system receives input data representing a clinical trial protocol. This information is sorted into a plurality of schedules, including dosage schedules, observation schedules, and various other types of schedules. The schedules are translated into a general purpose high level programming language and then compiled into and executable file. The executable file may comprise a plurality of discrete state machines, each state machine corresponding directly to a single schedule. During the clinical trial simulation, the executable file is run by the trial simulator to simulate the trial protocol.

The invention provides an automatic sound configuration method, system and device. The automatic sound configuration method includes that terminal equipment transmits sound configuration requests to a sound data storage server including at least one of equipment information, film source information and user information, the equipment information comprises terminal equipment ID, the film source information comprises at least one of film source ID, film source language and film source types, and the user information comprises at least one of user ages and user observation time spans. A sound data server inquires prestored sound configuration information according to information contained in the sound configuration requests, acquires sound configuration information corresponding to the information, and feeds the acquired sound configuration information back to the terminal equipment; the sound configuration information comprises at least one of sound effect configuration information and volume configuration information. The terminal equipment configures sound according to the sound configuration information. By the automatic sound configuration method, system and device, self-adaptive automatic sound configuration can be realized for various conditions.

The invention discloses a velocity model constructing and calculating method for ground monitoring microseism location, wherein the model is constructed based on a geophysical microseism linearization location method and an anisotropic average velocity model, in order to achieve construction and optimization solution of the three-dimensional anisotropic average velocity model, in comparison with the traditional laminated velocity model, the velocity model is closer to the actual simulation formation velocity so as to achieve a simple and reasonable calculating process, at the same time, through the velocity model constructing and calculating method, the laminated velocity model error caused due to ray tracing differentiation is also prevented; through the method, a residual vector between observation time and calculated travel-time difference of an appointed detector within a work area range and the optimization solution model are constructed, the least square solution of the velocity model can be obtained by iterating the model and inverted into the optimal velocity model, and crack events can be precisely located through the velocity model.