1546 results about "A-weighting" patented technology

A method and system for placement of graphical objects on a page to optimize the occurrence of an event associated with such objects. The graphical objects might include, for instance, advertisements on a webpage, and the event would include a user clicking on that ad. The page includes positions for receipt of the object material. Data regarding the past performance of the objects is stored and updated as new data is received. A user requests a page from a server associated with system. The server uses the performance data to derive a prioritized arrangement of the objects on the page. The server performs a calculation regarding the likelihood that an event will occur for a given object, as displayed to a particular user. The objects are arranged according to this calculation and returned to the user on the requested page. The likelihood can also be multiplied by a weighting factor and the objects arranged according to this product.

A method and system for placement of graphical objects on a page to optimize the occurrence of an event associated with such objects. The graphical objects might include, for instance, advertisements on a webpage, and the event would include a user clicking on that ad. The page includes positions for receipt of the object material. Data regarding the past performance of the objects is stored and updated as new data is received. A user requests a page from a server associated with system. The server uses the performance data to derive a prioritized arrangement of the objects on the page. The server performs a calculation regarding the likelihood that an event will occur for a given object, as displayed to a particular user. The objects are arranged according to this calculation and returned to the user on the requested page. The likelihood can also be multiplied by a weighting factor and the objects arranged according to this product.

The present invention provides a data processing system and a method of assessing the data value of a data assets inventory which comprises:

• • a) preparing a data map on a computer database comprising inputting data types and data subtypes into said database, connecting a data storing location to the data subtypes and recording the data subtype occurrences in said database;
  • b) assigning a weighting to each data subtype occurrence in said database to provide a data assets inventory and recording the data assets inventory in said database;
  • c) preparing evaluation types on said database wherein the evaluation type has a calculation type attribute and wherein the evaluation type is either quantity independent or quantity dependent;
  • d) connecting at least one evaluation type to each data subtype with a reference value and recording the reference value in said database;
  • e) determining the data value of the data assets inventory and recording the data value in said database wherein when the evaluation type is quantity dependent then the value is the product of the weighting, the reference value and the quantity at the data storing location for each data subtype occurrence or wherein when the evaluation type is quantity independent then the value is the product of the weighting and the reference value for each data subtype occurrence.

A system and method are disclosed for reconstructing contrast-enhanced CT images that are substantially free of beam-hardening artifacts. An imaging system includes a radiation source configured to project radiation toward an object to be scanned and an energy discriminating detector assembly having a plurality of detector elements and configured to detect radiation emitted by the radiation source and attenuated by the object to be scanned. The imaging system also includes computer programmed to count a number of photons detected by each detector element and associate an energy value to each counted photon and determine a material composition of a CT view from the number of photons counted and the energy value associated with each counted photon. The computer is also programmed to apply a weighting to the CT view based on the material composition of the CT view and reconstruct an image with differential weighting based on the weighting of the CT view.

The present invention provides systems for analyzing URL lookup requests that are malformed or otherwise fail to provide an adequate response, and providing content-relevant results for those requests. The systems and methods rely on analysis of URL requests and on logical assumptions based on common errors in submission of URL requests. A weighting system is applied to portions of failed lookup terms to provide improved relevancy for results based on those failed lookup terms.

A time of day zoning control system for a heating, ventilating, and air conditioning system is provided. The system utilizes a programmable thermostat and a number of temperature sensors to control the HVAC system to regulate the temperature in a particular location within a dwelling or structure based on consumer preferences. The regulation control will utilize a temperature sensed by a particular temperature sensor at different times throughout the day to control the temperature in that zone to ensure occupant comfort. A single temperature sensor may be selected to control the HVAC system during these different periods, or multiple sensors may be utilized during the same period. When multiple sensors are used, a weighting factor may be used.

An automatic report generator provides a narrative account of a newsworthy happening such as an sporting event by using templates. The game events are retrieved from storage and various statistics are generated from the game log and from past game logs. A template is selected for report generation in a two step process. First, conditional criteria associated with a template are compared to the game statistics to determine whether the template matches the game. In a second step, the remaining candidate templates are subjected to a weighting analysis by which the template providing the most detailed description, or describing the most relevant events of the game is selected. Once selected, game specific information is inserted into the template through the use of functions calls that request game specific data from the game log or from the game statistics generator.

A load score system includes a metabolic sensor such as a heart rate sensor for a subject is configured to output metabolic data for the subject. A biomechanical load sensing subsystem for the subject is configured to output biomechanical load data. A speed sensor subsystem for the subject is configured to output speed data. One or more databases store zones and a weighting factor for each zone for metabolic data, biomechanical load data, and speed data. A performance module is responsive to the metabolic data, the biomechanical load data, and the speed data and the one or more databases and is configured to calculate a metabolic load score for the subject. A biomechanical load score for the subject and a speed load score for the subject are also calculated. An output module displays the subject's calculated metabolic, biomechanical, and speed load scores.

An online communication schema for an online vehicle ordering and tracking system is provided. The communication schema includes a search request message and a search reply message. The search request message includes at least one search criteria, including make and model of a vehicle, and a weighting of each criterion. The search reply message includes a list of vehicles substantially matching the search criteria, and a plurality of vehicle configuration parameters of the vehicles substantially matching the search criteria, including make, model, dealer identifier, price, and color.

A system, method, and apparatus are directed towards routing a Voice over IP (VOIP) messages over a network. The VOIP messages are sent by a source client device to a destination client device through a portal service that has access to multiple routing services such as peering partners, carriers, etc. A VOIP system of the portal service aggregates call quality data after each VOIP call over each routing service. The call quality data is analyzed to determine a perception factor for each routing service at various times of day, days of the week, day of the year, geographic areas, and the like. When a VOIP call is requested through the portal service, the VOIP system determines a current cost, a current quality of service, and the perception factor for each routing service. A weighting is applied to each criterion and a routing service is selected for routing the VOIP call.

A process is performed periodically or in response to an error in order to dynamically and adaptively optimize read compare levels based on memory cell threshold voltage distribution. One embodiment of the process includes determining threshold voltage distribution data for a population of non-volatile storage elements, smoothing the threshold voltage distribution data using a weighting function to create an interim set of data, determining a derivative of the interim set of data, and identifying and storing negative to positive zero crossings of the derivative as read compare points.

A sound processing method for auditory prostheses, such as cochlear implants, which is adapted to improve the perception of loudness by users, and to improve speech perception. The overall contribution of stimuli to simulated loudness is compared with an estimate of acoustic loudness for a normally hearing listener based on the input sound signal. A weighting is applied to the filter channels to emphasize those frequencies which are most important to speech perception for normal hearing listeners when selecting channels as a basis for stimulation.

A system and method for employing a number of producer modules to produce and deliver recommendations to a requester. Each of the recommendations having associated therewith a confidence level. Each of the producer modules having associated therewith a weighting value. The confidence levels in each of the recommendations produced by the producers being modified based on weighting value associated with the producer that produced the produced recommendation. The weighing values associated with each of the producer modules being modified based on information from the requester related to the recommendations delivered to the requester.

A weighting factor mode determination unit (13) determines whether to code an interlaced picture in a field mode or a frame mode, based on a value of a flag "AFF" indicating whether or not to switch between the field mode and the frame mode on a block-by-block basis and notifies switches (14 and 15) and a multiplexing unit (106) of the determined mode. The switches (14 and 15) select either the field mode or the frame mode according to the notified mode. A field weighting factor coding unit (11) or a frame weighting factor coding unit (12) performs respectively the coding of respective weighting factors when the respective modes are selected.

A system that builds a network using a document collection wherein the documents are collected and represented as a plurality of nodes in a network matrix. The documents that are to be analyzed are bound to the network (corpus) at a discrete node corresponding to the document. The documents are then analyzed to determine term frequency within each document and the overall term frequency of the same term throughout the entire document grouping. This creates a weighting value that determines the relevancy of each document as compared to the entire network of documents. Finally, weighting values are normalized with relative weighting values so that the sum of the weights of all edges connected to a given node equals 1. User queries then proceed through the network from node to node using the algorithm of the present invention to locate documents relevant to the search.

A method, apparatus and product for providing information via a public network, such as the Internet, is disclosed. A user is firstly identified, and profile data is acquired based on that person's usage history. Information, obtained via a public network, is provided to the user based on the profile. The user can either be identified specifically, or as a member of one or more demographic groups. In relation to the latter, attributes in the user profile may include the user's age group, education and occupation/profession. The user profile may optionally include a weighting for each topic of interest. If the user is identified specifically, advertising to be displayed on the Internet may be matched with the current user's profile so that the advertising provided might appeal directly to the user. If the user is identified as a member of a demographic, web sites that match the demographic can be served.

Sharpness is adjusted for more appropriately representing a predetermined structure in an image. A parameter acquisition unit obtains a weighting parameter for a principal component representing a degree of sharpness in a face region detected by a face detection unit as an example of the predetermined structure in the image, by fitting to the face region a mathematical model generated by a statistical method such as AAM based on a plurality of sample images representing human faces in different degrees of sharpness. Based on a value of the parameter, sharpness is adjusted in at least a part of the image. For example, a parameter changing unit changes the value of the parameter to a preset optimal face sharpness value, and an image reconstruction unit reconstructs the image based on the parameter having been changed and outputs the image having been subjected to the sharpness adjustment processing.

Systems and methods for estimating channel response in the presence of interference. Interference and/or noise present on received training symbols is estimated. Based on the measured noise and/or interference, a weighting among training symbols is developed. Channel response is then estimated based on a weighted least squares procedure.

Methods of operating nonvolatile memory devices include testing a plurality of strings of nonvolatile memory cells in the memory device to identify at least one weak string therein having a higher probability of yielding erroneous read data error relative to other ones of the plurality of strings. An identity of the at least one weak string may be stored as weak column information. This weak column information may be used to facilitate error detection and correction operations. In particular, an error correction operation may be performed on a first plurality of bits of data read from the plurality of strings using an algorithm that modifies a weighting of the reliability of one or more data bits in the first plurality of bits of data based on the weak column information. More specifically, an algorithm may be used that interprets a bit of data read from the at least one weak string as having a relatively reduced reliability relative to other ones of the first plurality of data bits.

The invention provides in one aspect methods and apparatus for use with C-arm and other CT systems, e.g., with non-rigid geometries. In such systems, by way of example, calibration can be performed to determine the exact position of the x-ray source and the exact orientation of the detector where each projection measurement is made. Next, a weighting coefficient can be determined for the voxels in each plane of a reconstruction volume at every possible projection. Finally, the order in which to process the voxels during image reconstruction can be determined. Following an actual CT scan procedure in which scans are obtained of a volume to be constructed, a system according to these and related aspects of the invention can use an optimal, pre-calculated processing method, while utilizing offsets and weighting coefficients determined during calibration, for performing backprojection image reconstruction.

The invention discloses a remote sensing image classification method based on multi-feature fusion, which includes the following steps: A, respectively extracting visual word bag features, color histogram features and textural features of training set remote sensing images; B, respectively using the visual word bag features, the color histogram features and the textural features of the training remote sensing images to perform support vector machine training to obtain three different support vector machine classifiers; and C, respectively extracting visual word bag features, color histogram features and textural features of unknown test samples, using corresponding support vector machine classifiers obtained in the step B to perform category forecasting to obtain three groups of category forecasting results, and synthesizing the three groups of category forecasting results in a weighting synthesis method to obtain the final classification result. The remote sensing image classification method based on multi-feature fusion further adopts an improved word bag model to perform visual word bag feature extracting. Compared with the prior art, the remote sensing image classification method based on multi-feature fusion can obtain more accurate classification result.

The invention relates to a dynamic contrast enhancement device and a dynamic contrast enhancement method. The device comprises a color space switching module, a histogram statistical module, an enhanced mapping function module and a brightness transformation module, wherein the color space switching module is used for switching an input image data from a red, green and blue (RGB) color space to aluma and chroma (YUV) color space; the histogram statistical module is used for counting a gray histogram of an image according to a brightness component Y; the enhanced mapping function module is used for calculating weights of a plurality of brightness component intervals in the histogram and obtaining an adaptive mapping function f according to the designed mapping table of each brightness component interval and the weights; and the brightness transformation module is used for transforming the brightness Y of the image to a novel brightness Y' according to the adaptive mapping function f, and outputting the brightness in the RGB color space through the color space switching module. By the device, the image is divided into the plurality of brightness component intervals, the weights arecalculated respectively, and the adaptive mapping function is obtained by a weighting method to transform the image brightness; therefore, the processed image can keep a mean brightness, the contrastis effectively improved, and the problems of level reduction and details loss caused by the traditional histogram equalization are solved.

There are provided methods and apparatus for weighted prediction in scalable video encoding and decoding. A scalable video encoder includes an encoder (100) for encoding a block in an enhancement layer of a picture by applying a weighting parameter to an enhancement layer reference picture. The weighting parameter used to encode the block in the enhancement layer is adaptively selected from between a weighting parameter applied to a lower layer reference picture to encode a block in the lower layer of the picture and a different weighting parameter applicable in the enhancement layer. The block in the enhancement layer corresponds to the block in the lower layer. The enhancement layer reference picture corresponds to the lower layer reference picture.

A method of comparing first and second objects in a context comprises: maximizing or minimizing a quantitative comparison of the first object and a mixture of the second object and the context respective to a weighting parameter that controls the mixture; and outputting a comparison value based on the value of the weighting parameter determined by the maximizing or minimizing.

In one embodiment of the present invention, luminance information of a video signal inputted thereto is weighted by a weighting section. An image characteristic value determination section, by one frame, takes an average of the weighted luminance information, thereby determining an image characteristic value of one frame. A backlight controlling section sets luminance of the backlight at a backlight luminance determination section in accordance with the image characteristic value determined by the image characteristic value determination section and performs luminance correction.

An active noise/vibration/sound control system for a vehicle has an ANC (active noise control apparatus), an AVC (active vibration control apparatus), and an ASC (active sound control apparatus). To prevent the ANC, the AVC, and the ASC from interfering with each other and hence to prevent vehicle cabin environment of vibrations, noise, and sound from being impaired, activation and inactivation of the ANC, the AVC, and the ASC are controlled or their control characteristics are controlled in relation to each other by a weighting variable calculator as a coordination controller, depending on an engine rotation frequency and a frequency change which are representative of a running state of the vehicle as detected by an engine rotation frequency detector and a frequency change detector that serve as a running state detector.

The invention relates to a vehicle flow predicting method based on an integrated LSTM neural network. On the basis of historical data obtained by vehicle flow detection, an integrated LSTM neural network vehicle flow prediction model is established to carry out vehicle flow prediction, so that the generalization error of the prediction model is reduced and the accuracy is improved. The method comprises the following steps that: data preprocessing is carried out; according to a preprocessed vehicle flow time sequence value, a vehicle flow matrix data set is constructed and the vehicle flow of an (n+1)th period of time is predicted by using first n periods of time, wherein each period of time is delta t expressing the time length and the unit is min; a plurality of different LSTM neural network models are constructed by using different initial weights; on the basis of a bagging integrated learning method, a training set and a verification set are constructed; a plurality of LSTM neural networks are trained to obtain an optimized module; a weighting coefficient of the single LSTM model is calculated by using the verification set; and inverse transformation and reverse normalization are carried out on a predicted vehicle flow value to obtain a predicted vehicle flow and integrated weighting is carried out to obtain a vehicle flow value predicted finally by the model.

Similarity of email message characteristics is used to detect bulk and spam email. A determination of “sameness” for purposes of both bulk and spam classifications can use any number and type of evaluation modules. Each module can include one or more rules, tests, processes, algorithms, or other functionality. For example, one type of module may be a word count of email message text. Another module can use a weighting factor based on groups of multiple words and their perceived meanings. In general, any type of module that performs a similarity analysis can be used. A preferred embodiment of the invention uses statistical analysis, such as Bayesian analysis, to measure the performance of different modules against a known standard, such as human manual matching. Modules that are performing worse than other modules can be valued less than modules having better performance. In this manner, a high degree of reliability can be achieved. To improve performance, if a message is determined to be the same as a previous message, the previous computations and results for that previous message can be re-used. Users can be provided with options to customize or regulate bulk and spam classification and subsequent actions on how to handle the classified email messages.

A method and a system for re-ranking an existing result set of documents. A user starts a search by entering search term(s). The search term(s) is (are) transferred to a search engine which generates a result set ranked by the search term(s). The search engine, in parallel, automatically retrieves context information from returned result set which is related to the original set of documents. The search engine presents the context information to the user and asks for a feedback. The user performs a weighting of the presented context information in a range from “important” to “non-important”. The result set is then re-ranked with the user-weighted context information to increase the “rank distance” of important and non important documents. The documents that are on top of the list (highest context-weighted ranking value) represent the desired information.

The invention relates to a high-efficiency oil-based flushing spacer liquid. The flushing spacer liquid is prepared from the following components in parts by weight: 100 parts of clear water, 1.0-1.5 parts of a surfactant, 4.0-5.0 parts of a chelating agent, 2.0-4.0 parts of a suspension stabilizer, 0.6-0.8 part of a tackifier, 0.5-0.75 part of a viscosity enhancer, 25-15 parts of a weighting agent, 1.0-5.0 parts of a pH regulator, and 0.2-0.4 part of a defoaming agent. The invention provides a special high-efficiency flushing spacer liquid for oil-based drilling fluid, which has dual functions of flushing and spacing, is high in flushing efficiency, wide in density adjusting range and good in suspension stability, and can effectively improve the conditions of interfacial cementation and improve the quality of well cementation.