190 results about "Correlation factor" patented technology

A system and / or a method for detecting interference using correlation may be used in a communication system to protect against, or to report the presence of, narrowband interference, which has deleterious effects on the performance of the wideband communication system. The interference detection system described herein may be used to determine presence of narrowband interference by calculating correlation factors for a plurality of narrowband channels disposed within the wideband communication system and comparing the correlation factors with a threshold correlation factor.

An apparatus and method is presented for promoting movements of a subject in synergic timed correlation with physiological activity. The apparatus includes a synergic programs module that directs the movements in a temporally varying fashion. The synergic programs module causes generation of at least one signal, stimulus, or force, where the movements are performed in response to the at least one signal, stimulus, or force, where each of the at least one signal, stimulus, or force is determined so as to reduce meaning and / or emotional content to the subject, where each signal and stimulus is from a pool that comprises signals and stimuli that are sensorially understandable or recognizable by the subject, and where timing of the movements is based on at least a primary correlation factor and a secondary correlation factor. The primary correlation factor is determined so that the movements are synchronized with referential points of an intrinsically variable cyclical physiological activity. The secondary correlation factor is determined based on (a) fluctuations based on results of a first function; and (b) fluctuations based on a quantity of cycles of the physiological activity elapsing between any two of the movements or any two groupings of the movements, where the quantity of cycles is based on results of a second function.

The invention discloses an AIS information-based multi-target anti-collision warning method, which comprises the following steps: (1) building a predicted area of danger (PAD) model adapting to a multi-target condition; (2) setting DCPAs and TCPAs of a chip; (3) calculating collision prevention factors according to AIS information; (4) carrying out anti-collision warning judgment; and (5) displaying a predicted course of danger (PCD) on a circle of collusion prevention situation (CCPS) of the ship in a superposing manner. Collision prevention correlation factor calculation is carried out by the AIS information; dynamic information can be effectively obtained to calculate correlation factors even if being in a sea area with relatively high navigational density; and collision prevention ship handling intentions of all ships can be timely reflected. The built CCPS model effectively meets the requirements of clearly and simply displaying the collision prevention situation under the multi-target condition; meanwhile, collision warning information can be provided; and a collision prevention decision under the condition of keeping the speed can also be provided, so that convenience is provided for a watch keeper for carrying out ship commanding and dispatching.

Disclosed are ultrasound devices and methods for use in guiding a subdermal probe during a medical procedure. A device can be utilized to guide a probe through the probe guide to a subdermal site. In addition, a device can include a detector in communication with a processor. The detector can recognize the location of a target associated with the probe. The processor can utilize the data from the detector and create an image of a virtual probe that can accurately portray the location of the actual probe on a sonogram of a subdermal area. In addition, disclosed systems can include a set of correlation factors in the processor instructions. As such, the virtual probe image can be correlated with the location of the actual probe.

The invention provides an intelligent greenhouse environment monitoring system. The intelligent greenhouse environment monitoring system includes two environment temperature and humidity sensors, an illumination sensor and a control device; the control device receives monitoring information of the sensors; when temperature and humidity in the greenhouse are higher than set temperature and humidity threshold values, temperature and humidity outside the greenhouse are lower than set temperature and humidity threshold values, and illuminance is in a set illumination threshold value range, the control device controls and starts a roller shutter mechanism so that a space inside a greenhouse can be cooled; and when the temperature and humidity in the greenhouse are higher than the set temperature and humidity threshold values, the temperature and humidity outside the greenhouse are lower than the set temperature and humidity threshold values, and the illuminance is higher than a set sillumination threshold value, the control device controls and starts an indoor wet curtain or a ventilating device so that temperature and humidity reduction can be performed. According to the intelligent greenhouse environment monitoring system of the invention, exterior environment parameters and interior environment parameters of the greenhouse are compared, and exterior temperature, humidity, illumination as well as interior temperature, humidity and illumination are put into comprehensive consideration, and therefore, differential regulation and control can be performed through the pre conditions of correlation factors, and thus, the efficiency of environment management in the greenhouse can be improved.

An FEC scheme for wireless receivers including a symbol detector, a symbol selector, CRC logic and output logic. The detector correlates each digital group of the packet with a symbol family and provides possible symbols and corresponding correlation factors. The selector selects several possible symbols for each digital group having the highest correlation factors. The CRC logic calculates possible CRC values for the packet using combinations of the selected symbols. The output logic evaluates the possible CRC values to determine whether there is a correct symbol combination. The system may include logic that determines a symbol quality (SQ) metric for each digital group based on a difference between the two highest correlation factors. The system may include a rank value filter that selects a predetermined number of second choice symbols based on the SQ metrics. The CRC logic calculates the CRC values using combinations of first and second choice symbols.

The invention relates to a micro-grid load prediction system and method based on electricity purchased on-line and a dynamic correlation factor. The system includes an electric quantity purchased on line module, a load characteristic analysis module, a short period load prediction module and a prediction result output module. The method comprises the steps: pushing an initially-drafted order of electric quantity and a reference electricity price to an electric energy user by a micro-grid; correcting the initially-drafted order of electric quantity, and feeding back the corrected order of electric quantity to the micro-grid by the user; counting the statistical values of electric quantity purchased on line and the historical load data for various load users, determining the load type of the micro-grid and the correlation factor of the load type; establishing an RBF neural network mathematic model; utilizing a subtractive clustering K-means optimization algorithm based on the input data and the output data to acquire initial network parameters of the RBF neural network mathematic model; utilizing a quantum particle swarm optimization algorithm to optimize the initial network parameters; calculating the final predicted values of various loads of the micro-grid and the final predicted value of the total load; and outputting the final predicted values of various loads of the micro-grid and the final predicted value of the total load of the micro-grid.

Systems and methods are provided for determining an individual's personal correlation factor and, using the personal correlation factor, determining the individual's caloric intake. A method for determining a personal correlation factor includes determining a body composition change over a calibration period, converting the body composition change to an equivalent energy value, and dividing the equivalent energy value by a net caloric value for the same calibration period, wherein the net caloric value includes a caloric expenditure less a caloric intake. A method for determining a subsequent caloric intake includes converting a body composition change to an equivalent energy value, dividing the equivalent energy value by the personal correlation value, and adding to this quotient the individual's caloric expenditure, wherein each step is performed using a processor.

Embodiments of the invention provide a system for automated document conversion testing. For each page in the received documents, the system first converts the page into a source image. The system then converts the document page into a set of markup language page elements and generates a rendered image of the markup language page elements displayed in a web browser on a target software platform. Next, the system determines a correlation factor between the source image and the rendered image. The correlation factor indicates a page fidelity between the original document and its markup language transformation. If the correlation factor exceeds a threshold established for a minimum page fidelity requirement, the markup language conversion is validated.

The invention discloses a fans identity configuration method and relates to the field of live broadcast. The method comprises the steps of setting basic parameters, level intervals, live broadcast subareas and subarea identities of fans identities; establishing a correlation between the fans identities and the live broadcast subareas; setting a plurality of correlation factors between a user and an anchor, after the user logs in a live broadcast room, carrying out statistics on index values of the plurality of correlation factors between the user and the anchor, and determining a fans level of the user in the fans identity live broadcast room according to the plurality of indexes through adoption of a numerical value normalization method; and configuring the fan identity to the user according to the level interval in which the fans level of the user is located and the live broadcast subarea in which the user is located. According to the fans identity configuration method provided by the invention, the correlation factors between the user and the anchor are diversified; the corresponding fans identity is configured; the correlation between the user and the anchor is improved; the participation enthusiasm of the user is called; the attention and activity degree of the user are improved; and the user experience is improved.

The invention relates to a method for compressing sensor network data based on optimal order estimation and distributed clustering. The existed data compressing method has low efficiency. The method utilizes the space-time correlation of the data acquired by the sensing node, and determines the initial data group numbers to be transmitted by the system by introducing the optimized stage estimation, thereby not only obtaining the effective correlation factor, but also avoiding producing redundancy factor; and on the other hand, executes clustering process on the network by using cluster as a unit processing node, so that not only the node data processing efficiency of the base station can be improved, but also the capacity that the base station can rapidly locate the position with abnormalvalues or abnormal nodes can be improved. The method provided by the invention is suitable for a real time environment control system based on the wireless sensor network, and can efficiently compress the data of the wireless sensor network, and efficiently reduce the average energy consumption of the node.

The invention belongs to the technical field of medicines, discloses applications of andrographolide derivatives in preparation of medicines preventing and treating hepatic fibrosis, and relates to 15-benzylidene-14-deoxy-11,12-dehydroandrographolide derivatives and 3,19 esterified compounds thereof. Experiments prove that the compounds significantly inhibit human hepatic stellate cell LX-2 metastasis and activation, significantly reduce the fibrosis level of hepatic tissues of rats affected with hepatic fibrosis, reduce contents of extracellular matrix protein (ECM) related components, significantly reduce the level of immune inflammation correlation factors of rats affected with hepatic fibrosis, effectively inhibit immuno-inflammatory responses, inhibit hepatic stellate cell activation in hepatic tissues, and promote collagen degradation. The compounds are used as active components for preparing the anti-hepatic fibrosis medicines, and are efficient and low in toxicity, thus providing a novel medicine route for hepatic fibrosis treatment and prevention, and expanding the optional range of clinical medicine application. The compounds and the applications have good development prospects.

There are provided a method and apparatus for illumination and color compensation for multi-view video coding. A video encoder includes an encoder for encoding a picture by enabling color compensation of at least one color component in a prediction of the picture based upon a correlation factor relating to color data between the picture and another picture. The picture and the other picture have different view points and both corresponding to multi-view content for a same or similar scene.

An embodiment of the invention discloses a search result processing method and device capable of meeting various requirements of users. The method comprises the following steps: a server receives a search request sent by a client, wherein the search request contains a search word input by a user through the client; a search result list is obtained through searching according to the search word; search results in the search result list are sorted according to components to form multiple component queues; a search intention intensity value of each component queue is set and a first weight value of the component queue is calculated according to a correlation factor of each search result in the component queue, and the multiple component queues are sorted to form a result queue according to the search intention intensity value and the first weight value of each component queue; the result queue is sent to a user terminal for display.

The invention discloses a method and a system for positioning a sound source in an enclosed space based on spatial pulse response matching. The method comprises the steps: dividing a to-be-tested enclosed space into a plurality of grids, using the centers S1, S2...Sn of the grids as sampling positions, measuring pulse responses at two microphones Ra and Rb and obtaining n pairs of spatial pulse responses by measurement; using signals (H1aH1b), (H2aH2b)...(HnaHnb) subjected to Fourier transformation as a template base; measuring an unknown sound source to obtain a pair of signals (fafb) on a time domain, performing Fourier transformation to obtain FaFb, performing correlation analysis among Fa-Fb ratio, F1a-F1b ratio, F2a-F2b ratio...Fna-Fnb ratio to obtain all correlation factors, and utilizing the corresponding position of the maximum correlation factor as the sound source position. The method and the system for positioning the sound source in the enclosed space based on spatial pulse response matching have higher precision and broad application prospect for positioning the sound source in the enclosed space.

The invention discloses a POI recommendation method and recommendation system, and relates to the technical field of recommendation, and the method comprises the steps: according to a user-POI relation network established by user and POI data collected from an LBSN portal website, using a network embedding method to obtain embedding vectors of the user and the POI; constructing a dynamic factor graph model comprising a plurality of correlation factors related to the user and the POI according to the embedding vectors of the user and the POI, establishing joint distribution on a space-time social network according to the plurality of correlation factors related to the user and the POI, and obtaining parameter values in the joint distribution through learning; calculating to obtain a node value enabling the joint distribution probability to be maximum, then calculating the edge probability of each node, and carrying out POI recommendation according to the product of the edge probabilityand the tendency. The problem of low recommendation accuracy caused by unreliable data quality and difficulty in determining the space-time mode is solved, and the recommendation performance is remarkably improved.

The invention discloses a data storage method and device. The method comprises the steps of obtaining log information of at least one operation object, wherein the log information comprises multiple pieces of behavior data of an arbitrary operation object and correlation factors among all pieces of behavior data during skipping; on the basis of a tree storage structure, saving the behavior data ofthe arbitrary operation object and the correlation factors among all the pieces of behavior data during skipping, and obtaining network behavior relation data of each operation object; with a sessionin the process of accessing each operation object by a user as a unit, determining multiple operation objects contained in the session; conducting correlative storage on the network behavior relationdata of the operation objects contained in the session, and obtaining a network assess result of the user in the session. By mean of the data storage method and device, the technical problem is solved that by adopting a time sequence data storage method in the prior art, the network access information of the user is seriously separated, so that the correlation performance of storage results is poor.

Systems and methods for estimating an efficiency of a catalyst placed in an exhaust path of a combustion engine are disclosed. In one example approach, a method comprises: ageing the catalyst consecutively at different temperatures for definite time periods; measuring the catalyst conversion efficiency after each ageing step; calculating the ageing factor for each step of the ageing procedure and the accumulative value of the ageing factors for all steps of the ageing procedure; estimating catalyst efficiency correlation factors related to the measured catalyst conversion efficiency for each temperature point and for all ageing conditions; determining a correlation between the catalyst efficiency correlation factors and the accumulative value of the ageing factors; and calculating the conversion efficiency of the aged catalyst based on a predetermined correlation between the accumulative ageing factor and the catalyst efficiency correlation factor.

The invention discloses a load prediction method and a system thereof. The method comprises the following steps: establishing a correlation factor mapping database according to the correlation factorsrequired by the prediction strategy, wherein the correlation factors at least comprise meteorological correlation factors; determining the corresponding load prediction methods according to the law of load change, and establishing a load prediction method database; according to the prediction strategy and load prediction method library, establishing a comprehensive prediction model. The system isused to implement the method. The invention fully explores the sensitivity of the load change to the meteorological related factor change, and gives the qualitative analysis result. In the process ofload prediction, the influence of meteorological parameters on meteorological factors is fully and reasonably expressed in the prediction method.

A computer-implemented method for predicting failure of a disk that is configured to store digital data is provided. The method includes receiving health status data from a monitor that measures health status of the disk, the health status data including factor values associated with a plurality of respective disk failure factors, receiving an overall factor weight assigned to each disk failure factor, wherein the overall factor weight indicates the contribution of that factor in predicting a failure of the disk, and receiving, for each disk failure factor, a weight factor assigned to each bin of a set of bins, wherein each bin has an assigned range of factor values, the weight factor assigned to each bin indicating a probability of disk failure based on empirical results. The operations further include, for each disk failure factor, determining a bin having an assigned range of factor values that includes the associated factor value included in the health status data, determining the weight factor assigned to the bin determined, and determining a total failure value for the disk indicative of predicted risk of failure based on, for each disk failure factor, the weight factor determined and the overall factor weight assigned.

A method and system facilitates the provision of a diverse supply of electrical energy from wind energy. One or more qualified wind data regions are established within a geographic area. Each qualified wind data region meets or exceeds a wind velocity criteria over a requisite time period. Accessible transmission and distribution zones are established where a desired range of electrical energy is potentially distributable to electricity purchasers or consumers via existing distribution infrastructure. Cross-correlation factors are determined for wind data associated with pairs of wind data regions within the geographic area. One or more candidate regions are determined based on the overlap of the regions and the zones. A selector selects distinct preferential regions, for placement of a conversion devices, from the candidate regions based on the distinct preferential regions being spatially separated from one another and having determined cross-correlation factors for wind data that are equal to or less than a minimum target cross correlation.

A device for acoustic measuring in a medium in a borehole such as velocity of sound in the medium or velocity of the medium, includes at least a first acoustic array situated in a first, slanted sidewall of a measuring area and operating to emit a series of acoustic waveforms across a measuring area. In one form, the device includes a second acoustic array situated in a second, slanted sidewall of the measuring area and operating to receive an acoustic signal resulting from the emitted series of acoustic waveforms or to receive said acoustic signal and emit a second series of acoustic waveforms. A the processor measures a time between when a predefined portion of one of the series of acoustic waveforms was emitted and when a predefined portion of the received acoustic signal corresponding to the predefined portion of one of the series of acoustic waveforms is received by the acoustic receiver, and correlates the measured time to a reference time, then outputs a correlation factor for determining the velocity of sound in the medium in the measuring area. The processor may also calculate transit time for the two emitted acoustic signals or echoes from the first emitted acoustic signals to determine medium flow velocity.

In one embodiment, a method includes selecting an overall set of end-user transactions. The method further includes selecting an outcome. In addition, the method includes identifying an outcome-filtered subset of the overall set, the outcome-filtered subset comprising end-user transactions of the overall set associated with the selected outcome. The method also includes, for each transaction property of a plurality of transaction properties, measuring a difference between the transaction property's prevalence in the outcome-filtered subset and the transaction property's prevalence in the overall set. The measuring yields a property-prevalence differential for each transaction property. Moreover, the method includes, based, at least in part, on the property-prevalence differentials, determining one or more of the plurality of transaction properties to be correlation factors for the selected outcome.

The invention relates to a method for measuring the conductivity of a graphene film based on terahertz time-domain spectroscopy, belonging to the field of application of terahertz time-domain spectroscopic detection technology. The method comprises the following steps: S1, adjusting and acquiring a terahertz time-domain spectroscopic system optical path applicable to measurement of the film; S2, measuring and acquiring the terahertz time-domain spectral signal of a substrate material; S3, measuring and acquiring the terahertz time-domain spectral signal of the substrate material with a transferred graphene film; S4, calculating the conductivity of the graphene film in a terahertz wave band by using a formula according to the signals acquired in the steps S2 and S3; and S5, establishing a standard relation curve between the conductivity obtained by using the terahertz time-domain spectroscopy and conductivity obtained by using a traditional fourpoint method, acquiring a correlation factor and acquiring the conductivity of graphene in a visible light band according to the correlation factor. The method is applicable to detection of graphene transferred onto a semiconductor or high-molecular substrate and can be promoted to detection of the conductivity of other semiconductor films.

The present invention discloses a method for preventing a metal target from breakdown during a physical vapor deposition (PVD) sputtering process. The method is completed based on a sputtering film plating apparatus, and comprises the following steps: applying negative voltage on one end of a target, connecting a substrate with the ground; real-timely tracking the data of the voltage V and the current I in the PVD metal sputtering process, and calculating R according to the following formula: R=V / I, wherein the R value represents the virtual thickness value of the target, the upper limit value of the R value and the lower limit value of the R value are set, if the R value exceeds the limit value, an alarm mechanism is started; determining the correlation between the target thickness and the target life time of the machine, fitting the specific calculation relationship between the target thickness and the target life time of the machine in a value manner during the whole service life period of the target; educing a correlation factor by the calculation relationship; setting the upper limit value of the correlation factor and the lower limit value of the correlation factor in the system, wherein the alarm mechanism is started if the correlation factor value exceeds the limit value. According to the present invention, the target thickness is real-timely monitored, such that the occurrence of abnormal situations such as poor target quality, mistake of target replacement, excessive target using, and the like can be effectively prevented so as to avoid a plurality of unnecessary losses.

The invention relates to a target detection method and system capable of being used for passive synthetic aperture array yawing. The method comprises the following steps: step101), establishing a receiving model, receiving target signals and sampling when a towed line array moves; step 102), based on the receiving model, calculating phase correlation factors of each overlapped array element of the two adjacent snapshots when the towed line array moves twice in succession during the adjacent sampling time intervals, and obtaining the phase correlation factors of unoverlapped array element through phase estimation and correction by adopting linear fitting; step 103), taking the first-time snapshot during the towed line array sonar sampling as a criteria, utilizing the correlation factors of the unoverlapped array elements obtained through fitting to perform phase correction and compensation on the snapshot output of each array element of the second-time measuring; step 104), repeating the two steps until outputs of all snapshot arrays of receiving signals of each measuring are compensated sequentially, and obtaining output results of an expanded virtual array; step 105), coherently summing up the outputs of the expanded virtual array, so as to realize the detection for the target signals.

Unstructured data are processed in response to a request for information to derive attributes. The attributes include a subset of variables utilized to determine the requested information. The attributes are ranked based on a set of relevance factors for determining the requested information. One or more attributes are selected for presentation to a user based on the ranking to receive modifications and produce modified attributes. The requested information is determined based on the set of variables including the modified attributes.

The invention belongs to the field of power generation scheduling of power systems and discloses a network province two-stage multi-power short-period coordination peak shaving method. On a network province two-stage coordination platform, the operation characteristics of different types of power sources such as water, fire, pumping storage and nuclear power can be given full play to on the basis of the daily load complementary characteristic of a plurality of provincial level power grids, and the peak shaving requirements of the multiple power grids are coordinately met. According to the technical scheme, an original problem is decomposed into a pumping storage sub-problem, a conventional hydropower sub-problem, a conventional thermal power sub-problem and a conventional nuclear power sub-problem which are independent of one another according to the types of the power sources, and a pumping storage heuristic search algorithm, a water and electricity hybrid dimensionality reduction algorithm and a thermal power load shedding peak shaving algorithm are adopted for solving the sub-problems; on the basis, system loads are used as correlation factors, the preceding algorithms and an internetwork electric power distribution quadratic programming method are coupled to form a coordination framework of the sub-problems, electric power distribution of power stations among the multiple power grids is adjusted through iteration, and the differential peak value load requirements of the multiple provincial level power grids are met. Through the method, the multiple power sources and the multiple power grids can efficiently and coordinately run, a regional power grid network debugging power source peak shaving effect can be played better compared with actual scheduling, and the method is efficient and practical.

A method of gamma correction includes selecting lower and upper reference curves corresponding to selected reference gamma values. A gamma correction curve is generated from a corresponding gamma correction value and cross-correlated with the upper and lower reference curves to generate a corresponding set of cross-correlation factors. The set of cross-correlation factors are stored and indexed to the corresponding gamma value. An input value is received for gamma correction with the corresponding gamma value. Data from the upper and lower reference curves indexed by the input value are then operated one with the cross-correlation factors to generate a gamma corrected output value.