99 results about "Time trends" patented technology

Methods, systems, and media for content ranking using real-time data are provided. In accordance with some embodiments of the present invention, a method, implemented on a processor, for ranking content is provided. The method can include, among other things: receiving real-time information from a plurality of sources; supplementing the received real-time information with historical information and user influence information; analyzing the supplemented real-time information from the plurality of sources to determine real-time trend information; receiving a plurality of content snippets from a content provider; detecting similarities between each of the plurality of content snippets and the determined real-time trend information; ranking the plurality of content snippets based on the detected similarities; and displaying the ranked plurality of content snippets.

Apparatus and methods for characterizing atmospheric refractivity and its evolution in time and space utilizing passive radiation emission measurement devices are disclosed. Based on an instrument such as a passive microwave radiometer, ancillary meteorological measurements and other information and observations, the apparatus and methods provide useful signatures for characterizing atmospheric refractivity. The system can observe to any vector in the sky, giving directional as well as zenithal measurements of the refractivity profile, its spatial and temporal gradients, and the spatial and temporal trending of the profile and its gradients.

A system and method for detecting, diagnosing, and monitoring a disease and determining a disease signature including accessing patient deviation scores indicative of differences between patient data and reference data representative of a population segment, the patient deviation scores derived from longitudinal patient data such that the patient deviation scores include a plurality of sets of patient deviation scores, each set indicative of differences between patient data collected at a respective point in time and the reference data. The system and method also includes identifying a trend in the patient deviation scores for at least one clinical parameter, generating a report including a visual indication of the trend, and outputting the report. The report includes one or more views including Z, T, D, DT, and D feedback on T views, using image and non-image data.

A system comprising a memory device having a plurality of routines stored therein, a processor configured to execute the plurality of routines stored in the memory device, the plurality of routines comprising: a routine configured to effect, when executed, accessing of patient deviation scores indicative of differences between patient data and reference data representative of a population segment, wherein the patient deviation scores are derived from longitudinal data of the patient data such that the patient deviation scores include a plurality of sets of patient deviation scores, each set indicative of differences between patient data collected at a respective point in time and the reference data; a routine configured to effect, when executed, identifying a trend in the patient deviation scores for at least one clinical parameter; a routine configured to effect, when executed, generating of a report including a visual indication of the trend; and a routine configured to effect, when executed, outputting of the report. The report includes one or more views including Z, T, D, DT, and D feedback on T views, using image and non-image data.

The invention discloses a primary cut-out state monitoring method, which comprises following steps: using existing fault recording apparatus and digital protective-relay device in converting station automatic system to record normal divided brake current decay process; using recorded data to calculate circuit breaker opening time; then estimating circuit breaker state according to opening time of circuit breaker and opening time trend in some time.

The invention relates to an alga-contained yoghourt and a manufacturing method thereof. The yoghourt relates to a finished product which is prepared by using milk as the main material, adding an alga processed product and fermenting through fermentation culture. The yoghourt comprises following components by weight: 3-10% of the alga processed product, 0.04-1.4% of a stabilizing agent, a sweetener having a sweet degree equivalent to sucrose having a concentration of 6-8%, 0.2-0.6% of concentrated whey protein powder, and 0.008-0.01% of the fermentation culture, with the balance being the milk. According to the alga-contained yoghourt and the manufacturing method, by using the yoghourt as a carrier, nutritions and health care functions of the alga processed product and the yoghourt are combined organically, and therefore the yoghourt is rich in dietary fiber and has comprehensive nutrition components. Through a proper formula and a proper technology, the yoghourt provided by the invention has good taste and flavour, and high nutrition value, and the yoghourt provided by the invention is rich in natural microelements and is green and healthy food conforming to the time trend.

The invention provides an intelligent cargo delivering and collecting device of an unmanned aerial vehicle and an implementation method, which sufficiently utilize the modern network and the artificial intelligence technology. The intelligent cargo delivering and collecting device comprises a delivering aerial vehicle, a dropping cargo delivering and collecting intelligent device assembly and an intelligent cargo delivering and collecting implementation method; the delivering aerial vehicle is suspended in the mid air to intelligently carry out cargo packet delivering or collecting operation and repeated landing and taking-off working manners of the unmanned aerial vehicle are changed; the device is more convenient, more efficient and safer and realizes intelligent direct delivery; the investment of manpower and material resources of secondary handover, transportation and home delivery of cargo packets can also be greatly and effectively reduced, so that the cost is saved and resources are saved. Especially, aiming at current situations of social development and modern living manners, the delivering aerial vehicle is suspended in the air and the cargo packets can be rapidly and directly transferred and can be easily, conveniently, directly and intelligently collected and delivered; the intelligent cargo delivering and collecting device can give better services to old people, dwelling people and people working and living in high-rise buildings, and can also be adaptive to outdoor consumption requirements of people at anytime and anywhere and meet the fashion psychology of pursuing high-tech content and following time trend of young people.

For a jitter measurement product histograms, trends and spectrums of random and deterministic jitter components are provided on a jitter component basis rather than just on overall jitter. At each stage of the jitter separation histograms, time trends (measurement vs. time), cycle trends (measurement vs. cycle or UI) or spectrums may be provided. Additionally the spectrum for a periodic jitter component may be further separated into sub-spectrums representing correlated sub-sets of the periodic jitter component. Conversion of each sub-spectrum into the time domain provides a characteristic signal that may identify one source of the periodic jitter. From the various plots the contribution of a particular jitter component or a particular combination of jitter components to an eye opening and system performance may be obtained.

The invention discloses an LS-SVM-based method for detecting an anomaly slot of sensor detection data, and relates to the field of anomaly detection of spacecraft monitoring data. The LS-SVM-based method aims at solving the problem that a short-time trend appearing in a time series or changes or anomalies appearing in a mode can not be easily judged in an existing single-detecting-point anomaly detection mode, and includes the steps of (1) setting the needed detection fiducial probability p, the detection slot length n and the minimum number m of abnormal points in the slot; (2) carrying out LS-SVM point anomaly detection with the point anomaly detection fiducial probability p on data in the time series length n from the moment t<0>, and obtaining predication residual errors and the number of the data anomaly points in the time series length n; (3) determining the positions of the anomaly points according to the residual errors and the number of the data anomaly points. The LS-SVM-based method can be applied in the aerospace flight vehicle monitoring field.

The invention discloses a method and a device for implementing direction finding and positioning of an interferometer. The method for implementing direction finding and positioning of the interferometer includes: solving multiple direction finding results of the interferometer, classifying the direction finding results by the aid of the regularity time trend of the direction finding results, computing positioning results of the classified direction finding results and finally solving a distribution probability circle of target positioning results. According to the technical scheme, the method and the device for implementing direction finding and positioning of the interferometer have the advantages that the step of classifying the direction finding results by the aid of the regularity time trend of the direction finding results is added before the positioning results of the direction finding results are computed, and thereby a false positioning set generated by fuzzy direction finding results is decreased, computing pressure can be reduced remarkably, and accuracy degree and stability degree for solving the positioning results can be enhanced remarkably.

The invention relates to a case-based reasoning method capable of supporting time sequence matching. The method includes the following steps of: case base construction; case retrieval: with the state information of a current target event adopted as input, case retrieval is carried out based on the case base, so that the comprehensive distance from the current target event to cases in the case base can be obtained; case reuse: if the comprehensive distance from the current target event to a certain case in the case base is smaller than a set threshold value, the current target event is successfully matched with the case, and the case result of the case is outputted so as to be used for a target event; case correction: when the case is wrong, the successfully-matched case result is corrected according to the feedback information of the target event, and the corrected case result is submitted to the case base, and case-based reasoning is terminated. According to the case-based reasoning method capable of supporting time sequence matching of the invention, a time sequence matching mechanism is introduced into case feature item matching, so that case-based reasoning has a time trend analysis ability, and can be better applied to the engineering field emphasizing time trend analysis.

Displaying an information product that includes exceptional search queries to a user can include receiving search queries, measuring the frequencies of search queries received, determining the search queries whose frequencies are rising in the most relevant manner, and then displaying these exceptional queries on a user interface. The user then can select one of the displayed exceptional queries, and then the system can provide search results corresponding with the exceptional queries. The activity of a particular query can be based on the frequency of the search query's reception over a given period of time, whether in relation to an expected frequency level or the rate of change of the frequency level. Additionally, the relevant periods of time over which activity is measured can be relatively short to maximize their relevance at a given instant.

A system and method for detecting, diagnosing, and monitoring a disease and determining a disease signature including accessing patient deviation scores indicative of differences between patient data and reference data representative of a population segment, the patient deviation scores derived from longitudinal patient data such that the patient deviation scores include a plurality of sets of patient deviation scores, each set indicative of differences between patient data collected at a respective point in time and the reference data. The system and method also includes identifying a trend in the patient deviation scores for at least one clinical parameter, generating a report including a visual indication of the trend, and outputting the report. The report includes one or more views including Z, T, D, DT, and D feedback on T views, using image and non-image data.

The invention provides a telephone traffic abnormity detection method and device. The method includes the following steps: a historical trend threshold regular calculation step: cleaning historical telephone traffic data and regularly calculating a historical trend threshold on the basis of the cleaned historical telephone traffic data; a historical threshold detection step; a real-time trend detection step: calculating a real-time trend threshold on the basis of telephone traffic data ahead of a current detection point within a first period of time, and detecting whether the current telephonetraffic quantity exceeds the real-time trend threshold; a historical trend detection step: detecting whether the current telephone traffic quantity exceeds the historical trend threshold; and a warning sending step: if the current telephone traffic quantity exceeds a historical threshold, the real-time trend threshold and the historical trend threshold, sending out warning information. On the basis of detection of the historical threshold, real-time trend detection and historical trend detection are added, thereby overcoming the disadvantage of warning setting through direct collection of historical telephone traffic quantity and improving the accuracy of telephone traffic abnormality detection.

The invention provides a simulation data generation method for simulating a real physical environment. The simulation data generation method includes the steps: 1) receiving a series of real environment data; 2) dividing an acquisition time slot of the real environment data into a plurality of time intervals; 3) fitting space distribution of physical environment parameters based on a Gaussian process model according to data values of a plurality of different positions at the same time for each time interval to obtain the value of the physical environment parameter at an optional designated position at the time corresponding to the time interval; 4) modeling time trend according to the obtained data values at each position at different time to obtain a time trend function at the position; 5) generating simulation data of the physical environment parameters according to the designated time and position. Data points at different positions at each time interval are regarded as data points acquired at the same time. Massive simulation environment data can be generated at small overhead, and the simulation data generation method is high in configurability and universality.

The present invention discloses an online calibration-based express way traffic flow data filling method and system. The method comprises a data acquisition step of grouping and numbering the detectors, and establishing a traffic flow database according to the traffic flow data acquired by the detectors; a real-time diagnosis step of diagnosing the traffic flow data acquired by the detectors real-timely, and diagnosing whether the data is lost or wrong; a model establishment step of establishing a multivariate linear model according to the time trend and the spatial relationship of the lane data of the groups of detectors; an online calibration step of establishing a parameter autoregression prediction model, and predicting the model parameters at the current moment based on the model parameters obtained according to the earlier stage data in the traffic flow database; a data filling step of filling the traffic flow data according to the multivariate linear model and the model parameters at the current moment. The online calibration-based express way traffic flow data filling method and the online calibration-based express way traffic flow data filling system of the present invention have the advantages of being simple to calculate, being small in storage space and accurate in prediction result, etc., and effectively make up the insufficiency of a static model method at the aspect of data filling.

The invention relates to technical field of financial product investment arbitrage technology and provides a method for arbitraging by using inherent price discrepancy of relevant finical products. The method comprises the following steps of: processing historical data of the relevant financial products; converting the absolute prices of various financial products with high relevance into comparable regular prices, so that two relevant financial products are comparable; and based on the comparability of the relevant financial products, identifying the price discrepancies and performing arbitrage. The method in the invention solves the problem that the price measures of futures and spot goods are inconsistent in the deadline arbitrage and can gather all priced-related financial products or investment portfolio into one group for arbitrage, so that the investment opportunity and the investment range of arbitrage investors are widened greatly and the arbitrage process becomes more accurate. Moreover, the method also can provide a time-trend chart, a price-discrepancy chart, a unique arbitrage Kreinik chart and the like corresponding to the arbitrage, so that the real-time arbitrage processes of the investors are more clear and effective.

The invention discloses a temperature/ economic growth factor considered monthly total electricity consumption predication method. The method comprises the steps of creating a linear regression technique for the monthly total electricity consumption, the current average temperature and the economic growth index; predicating monthly total electricity consumption, including historic total electricity consumption of the same month as the predicated month and monthly average temperature data; expressing the economic growth factor through the time trend term; building a time trend term included predication model; acquiring the historic above-scale industrial added value growth rate data of the same month as the predicated month and obtaining the economic growth index; building an economic growth index included predication model; calculating the total electricity consumption of the predicated month by two equation methods of the predicated models. The method has the advantages that the temperature/ economic growth factor considered monthly total electricity consumption predication models are utilized to obtain the predicated monthly total electricity consumption, which is beneficial for power planning and the preparation of production schedule and monthly production planning of a power grid.

A system and method are provided that are directed to the technological problem of performing real-time trend analysis to provide real-time cockpit level event predictions. The provided systems and methods further provide real-time corrective action suggestions associated with the real-time trend analysis.