61 results about "Decay function" patented technology

A workload associated with a task is assessed with respect to each of a plurality of computing paradigms offered by a cloud computing environment. Adaptive learning is employed by maintaining a table of Q-values corresponding to the computing paradigms and the workload is distributed according to a ratio of Q-values. The Q-values may be adjusted responsive to a performance metric and/or a value, reward, and/or decay function. The workload is then assigned to available computing paradigms to be performed with improved utilization of resources.

A system and method are disclosed for automatically detecting associations between particular sets of search criteria, such as particular search strings, and particular items. Actions of users of an interactive system, such as a web site, are monitored over time to generate event histories reflective of searches, item selection actions, and possibly other types of user actions. An analysis component collectively analyzes the event histories to automatically identify and quantify associations between specific search strings (or other types of search criteria) and specific items. As part of this process, a decay function reduces the weight given to a post-search item selection event based on intervening events that occur between the search event and the item selection event.

The response time of a melting fuse is controlled or influenced by temporarily boosting a threshold level from a first constant value (I1) to a second dynamic value (I2) which is then caused to decay in a controlled manner during a fixed time between (t1) and (t2) and in accordance with a selectable decay function. If a current (m) flowing through the fuse exceeds the decaying threshold value a fuse blowing current is generated and supplied to the fuse, whereby the fuse blows sooner than it would have, if the excess current had prevailed for a long enough time between (t1) and (tX). On the other hand, the fuse does not blow in response to short duration transient excess currents that occur, for example at starting an engine. The engine start impulse which may be used to temporarily raise the threshold value from (I1) to (I2) and then cause said controlled decay.

A de-interlacer includes recursive motion history map generating circuitry operative to determine a motion value associated with one or more pixels in interlaced fields based on pixel intensity information from at least two neighboring same polarity fields. The recursive motion history map generating circuitry generates a motion history map containing recursively generated motion history values for use in de-interlacing interlaced fields wherein the recursively generated motion history values are based, at least in part, on a decay function.

A method of processing data at a server (302) for maintenance of a database (516) of points of interest, such as speed limit enforcement devices. Each of the devices represented in the database has at least one attribute and a confidence value indicative of the accuracy of the at least one attribute associated therewith. The confidence value is time dependent and varies according to a pre-defined decay function. A report (500) relating to an attribute of a speed limit enforcement device is received at the server (302) from a mobile device (200). The confidence value associated with the speed limit enforcement device is adjusted in accordance with the received report, and information relating to the speed limit enforcement device (520, 522) is selectively transmitted to the or another mobile device (200) based on the confidence value.

A disclosed method for implementing time decay in the analysis of streaming data objects is based on the age, referred to herein as the forward age, of a data object measured from a landmark time in the past to a time associated with the occurrence of the data object, e.g., an object's timestamp. A forward time decay function is parameterized on the forward age. Because a data object's forward age does not depend on the current time, a value of the forward time decay function is determined just once for each data object. A scaling factor or weight associated with a data object may be weighted according to its decay function value. Forward time decay functions are beneficial in determining decayed aggregates, including decayed counts, sums, and averages, decayed minimums and maximums, and for drawing decay-influenced samples.

A digital phosphor spectrum analyzer (DPSA) uses a fast rasterization and decay process to emulate the look and feel of an analog phosphor display while improving the ratio of waveform acquisition to non-acquisition time. Multiple acquisitions of complex digital data for an input signal being analyzed across a frequency span are accumulated in a raster memory at a waveform update rate to produce a composite waveform. A decay function is applied to the composite waveform to produce a display waveform. The display waveform is viewed on a display device at a display update rate, resulting in the ability to see otherwise unobservable frequency characteristics of the input signal.

A computer-implemented method of ambient ad hoc project management can include defining a project and associating a project decay function with the project, wherein the project decay function regulates a rate at which project health declines. Responsive to detecting a project event, one or more parameters of the project decay function can be determined from the project event. Project health can be calculated according to the project decay function using the parameter(s). An indication of the project health can be output.

The invention discloses a turbulence model for prediction of high Mach number intensive shock wave flow field aerodynamic heat and a building method of the turbulence model, and belongs to the field of design of a hypersonic velocity flight vehicle thermal protection system. The method comprises the steps of firstly adopting a dimensionless pressure to calculate a smooth factor of a grid node (I,J,K); calculating an attenuation function value of the grid node, and determining a strong discontinuous area in a flow field; making an attenuation function coupled to a k-OmegaSST turbulence model to build the turbulence model for the prediction of the high Mach number intensive shock wave flow field aerodynamic heat. Compared with an existing shock wave discontinuous detection method and an existing turbulence model, the intensive shock wave discontinuous detection method which is put forward based on a smooth factor conception can achieve automatic detection even aiming at a complicated outline blunt body flight vehicle; the attenuation function is combined with the k-OmegaSST turbulence model to achieve high-precision aerodynamic heat prediction and simulation, the calculating precision is obviously improved, and the error can be lowered to the range within 10%; the turbulence model for the prediction of the high Mach number intensive shock wave flow field aerodynamic heat and the building method of the turbulence model are high in practicability, and it is easy for the turbulence model to be fused into a modern parallelization CFD calculation program.

The invention discloses a multi-stage dynamic vehicle routing optimization method for fresh agricultural products in different regions, which comprises the following steps of: data obtaining; regionaldivision; time division; design of a freshness attenuation function and establishment of a mathematical model of minimum total distribution cost; algorithm design of a mathematical model for minimumtotal distribution cost; solution of a mathematical model of minimum total distribution cost. The invention effectively improves the distribution efficiency and reduces the total distribution cost, and has high practical significance.

The invention relates to an unconditionally stable finite difference seismic wave field continuation method based on a staggered grid Lowrank operator. The method comprises the steps that a first-order speed-stress equation Fourier integral solution is utilized for constructing the Lowrank operator on a staggered grid; an attenuation function is utilized for carrying out attenuation constraint on the staggered grid Lowrank operator; the weighted least square method is utilized for calculating a finite difference coefficient; the obtained finite difference coefficient is utilized for achieving unconditionally stable finite difference seismic wave field continuation. On the basis of the Lowrank decomposition approximate wave number-spatial domain operator, the computationally-stable and high-precision optimized finite difference coefficient is obtained through the attenuation constraint and the weighted least square method, and unconditionally stable finite difference seismic wave field continuation can be achieved through the constructed finite difference computational format.

Aggregates are calculated from a data stream in which data is sent in a sequence of tuples, in which each tuple comprises an item identifier and a timestamp indicating when the tuple was transmitted. The tuples may arrive out-of-order, that is, the sequence in which the tuples arrive are not necessarily in the sequence of their corresponding timestamps. In calculating aggregates, more recent data may be given more weight by multiplying each tuple by a decay function which is a function of the timestamp associated with the tuple and the current time. The tuples are recorded in a quantile-digest data structure. Aggregates are calculated from the data stored in the quantile-digest data structure.

Aggregates are calculated from a data stream in which data is sent in a sequence of tuples, in which each tuple comprises an item identifier and a timestamp indicating when the tuple was transmitted. The tuples may arrive at a data receiver out-of-order, that is, the sequence in which the tuples arrive are not necessarily in the same sequence as their corresponding timestamps. In calculating aggregates, more recent data may be given more weight by a decay function which is a function of the timestamp associated with the tuple and the current time. The statistical characteristics of the tuples are summarized by a set of linear data summaries. The set of linear data summaries are generated such that only a single linear data summary falls between a set of boundaries calculated from the decay function and a set of timestamps. Aggregates are calculated from the set of linear data summaries

The invention provides a method for obtaining lightning parameters by utilizing an actual-measured lightning vertical electric field. The method belongs to the technical field of thunder and lightning monitoring in the field of electrical engineering. The method comprises the steps of acquiring remote actual-measured lightning vertical electric field data through an artificially trigged lightning method, performing smooth denoising on the actual-measured lightning vertical electric field data, eliminating noise signals in the actual-measured lightning vertical electric field data, and obtaining actual-measured lightning vertical electric field fragments; considering a reflecting action of soil on which an electric field measurement point is located, confirming an expression of a soil attenuation function in a time domain, and then utilizing a particle swarm algorithm for searching to obtain an optimal lightning base current and return stroke velocity; finally calculating to obtain the distribution of electric density in a lightning channel. The method provided by the invention overcomes the defect of difficulties in direct measurement of the lightning base current, and direct measurement of the return stroke velocity and the electric density of the lightning channel, is wide in applicable range, and is contribute to an electrical power system to adopt a more effective lightning protection measure.

The invention provides a method and a device for suppressing duplicate alarms. When an alarm is received, key words of the alarm are acquired; when the corresponding alarm is determined not to be recorded, the alarm is recorded with the acquired key words as an index, an initial liveness value is set for the alarm, and the alarm is reported and processed; when the corresponding alarm is determined to be recorded, the liveness value of the alarm is added through a preset activation function, and the alarm is discarded, wherein the preset activation function is an alarm time or alarm time function; when a fading period arrives, the liveness value of the alarm is reduced according to a preset liveness decay function, wherein the preset liveness decay function is the time for alarm times; and when the liveness value of the alarm is smaller than a first threshold, the recorded alarm is deleted. The scheme can effectively suppress reporting of duplicate alarms, and the device processing efficiency is improved.

The invention relates to a method for enhancing resolution of a seismic section through compensating variable resolution factor S transform complex time-frequency spectrum. Firstly an amplitude spectrum attenuation function changing with frequency is obtained by fitting through mean amplitude spectrum of the seismic section so that a time-frequency spectrum compensation factor and a compensation function are constructed. Then the time-frequency spectrum is adjusted by the compensation function. Finally, a seismic signal is reconstructed through S inverse transform so that an objective of enhancing resolution of the seismic signal is realized. According to the method, a Q factor does not need to be calculated, and the method is different from other methods for enhancing resolution of the seismic signal, such as inverse Q filtering and other deconvolution algorithms. The algorithm has fidelity and a great resolution enhancement function.

The invention discloses a target detection method for self-adaptive non-maximum suppression. The method comprises the steps of S1, selecting an initial candidate box set for iterative processing so asto traverse and rank and score candidate boxes in the initial candidate box set, and composing all candidate boxes which do not get highest scores in ranking and scoring into a remaining candidate box set; S2, obtaining adjacent target region graduation of two adjacent candidate boxes based on difference of attention maps of the two adjacent candidate boxes in the remaining candidate box set; S3,constructing a self-adaptive score attenuation function based on the adjacent target region graduation of the two adjacent candidate boxes, and automatically endowing an attenuation coefficient corresponding to scores of the two adjacent candidate boxes based on a calculation result of the self-adaptive score attenuation function; S4, rescoring the two adjacent candidate boxes and discarding thecandidate boxes whose scores are lower than a threshold value; and S5, iteratively repeating the steps S2-S4, judging whether the number of the candidate boxes in the remaining candidate box set is 1,if so, terminating target detection, and outputting a final candidate box fusion result.

The present invention discloses a remote intelligent diagnosis method of a photovoltaic module dust deposition degree, belonging to the field of photovoltaic optimization operation technology. The method comprises the steps of: respectively establishing photovoltaic output prediction models based on a fuzzy neural network in a cleaning state for different weather type history samples, and calculating a theoretical output value in the photovoltaic cleaning state according to the models; comparing a cleaning state prediction value Pst with a real-time collected photovoltaic actual output value Pout; determining whether a dust deposition loss electric quantity reaches a cleaning cost E or not, if the dust deposition loss electric quantity reaches the cleaning cost E, defining time from the last cleaning to a current moment is T1, and fitting a daily generating capacity decay function F(x); calculating cost of reaching n-times dust deposition starting from the T1 moment according to the daily generating capacity decay function F(x), wherein this period of time is marked as T2; and determining whether a rainfall capacity in the T2 moment satisfies a dust deposition washing threshold ornot, if the rainfall capacity in the T2 moment satisfies the dust deposition washing threshold, giving up this cleaning and waiting for rainfall to remove dust, or else, immediately organizing cleaning work. The remote intelligent diagnosis method of a photovoltaic module dust deposition degree saves the cleaning cost at the greatest extent.