286 results about "Relative weight" patented technology

The invention comprises a computer-implemented system and method for refining the order and/or content of a list of items. In one embodiment, the amount of user activity associated with each item displayed to users in a given context is monitored, used is to generate context-specific item weights. The weights for the same item in different contexts may be different. The selection of items included in a list presented to users, as well as the order in which the items in the list are displayed, may be adjusted over time based upon the relative weights associated with the items. This allows the items generating the greatest user interest in a particular context to be presented to first, or otherwise emphasized.

Systems and methods for accessing historical data are provided. Based upon user interaction, a time period of interest and historical data, the systems and methods perform cross-correlation algorithms and interpret which items are to be accessed and displayed to the user via a user interface vis-a-vis a timeline portion and navigation region. Based on frequency and recency usage patterns, and/or user preferences, items are assigned relative weights and displayed accordingly in the timeline portion and navigation region of the user interface. Each item that can be displayed within the system has a unique identification, which may be translated to one or more visual symbols within the user interface. In various non-limiting embodiments, the system leverages a distributed database store which stores and indexes items that make up a digital history. When a request is made to the database, items, such as events, places, people and things, are automatically cross-referenced and correlations are drawn based on filtering criteria.

A method and system for making financial or medical decisions. The method comprises training sets of models using classification training with sets of data derived from segregated data sources. Overall weighting of each model within the sets of models are determined for each of the sub-datasets. The sets of models, the overall weighting of each model and a number of examples provided from the data for each of the datasets are transmitted to a central server over a communication network, wherein the central server is configured to determine the relative weights of each of the sets of models in the overall ensemble model based on the number of examples, combine the sets of models, receive new application data, and predict at least one of outcome variables, an uncertainty factor for the variables, and drivers of the outcome variables based on the new application data.

Computer-implemented methods are described for, first, characterizing a specific category of information content—pornography, for example—and then accurately identifying instances of that category of content within a real-time media stream, such as a web page, e-mail or other digital dataset. This content-recognition technology enables a new class of highly scalable applications to manage such content, including filtering, classifying, prioritizing, tracking, etc. An illustrative application of the invention is a software product for use in conjunction with web-browser client software for screening access to web pages that contain pornography or other potentially harmful or offensive content. A target attribute set of regular expression, such as natural language words and/or phrases, is formed by statistical analysis of a number of samples of datasets characterized as “containing,” and another set of samples characterized as “not containing,” the selected category of information content. This list of expressions is refined by applying correlation analysis to the samples or “training data.” Neural-network feed-forward techniques are then applied, again using a substantial training dataset, for adaptively assigning relative weights to each of the expressions in the target attribute set, thereby forming an awaited list that is highly predictive of the information content category of interest.

The pages in a network of linked pages are ranked based on the quality of the pages. Page quality is obtained by determining the change over time of the link structure of the page, which is obtained by determining the link structure of the page at different periods of time by taking multiple snapshots of the link structure of the network. The link structures are approximated by their PageRanks, page quality being determined by the formula: $Q\left(p\right)\approx D·\frac{\Delta \mathrm{PR}\left(p\right)}{\mathrm{PR}\left(p\right)}+\mathrm{PR}\left(p\right)$

where Q(p) is the quality of the page, PR(p) is the current PageRank of the page, ΔPR(p) is the change over time in the PageRank of the page, and D is a constant that determines the relative weight of the terms ΔPR(p)/PR(p) and PR(p).

An apparatus and method for adaptively producing transmitted signals and processing received signals in a communication system which includes smart antenna array of antenna elements. When processing received signals, the invention modifies an existing processing scheme by incorporating information about a second set of signals for which training or other characteristic information such as a reference is unknown to information about a first set of signals for which characteristic information such as a reference is known, prior to executing the processing scheme. This approach can be used to modify the receive weights which determine the relative weight assigned to the signals received from each of a plurality of antenna elements to take into account the presence of a changing interference environment. This permits an adaptive updating of the receive weights based on the additional information provided by the second set of data, and may be accomplished faster and with less computational resources than required to determine the weights based on applying the entire processing scheme to the second set of data. In addition, assuming a relationship between the transmit and receive environment, the invention can also be used to modify the transmit weights used by the base station.

Compositions, methods and business applications of using new and recycled cardboard infused with a plurality of saprophytic (including endophytic) and mycorrhizal fungi matched with seeds of plants (including trees, vegetables, herbs and grasses) whereby the cardboard can be sprouted by end-users to start ecosystems. Such containers may have carbon-credit value for companies and consumers when planted and grown as a carbon sink or carbon offset for the photosynthetic and mycelial sequestration of carbon dioxide. The relative weight of the Life Box's added seeds and spores does not significantly affect the total weight of the infused cardboard, thus not increasing transportation costs.

A social trust network is implemented in combination with a communication network capable of monitoring one or more parameters of communications. The social trust network includes a database containing trust data and possibly profiles of respective entities can be searched to return identities of entities such as subject matter experts with whom a user such as a decision-maker may wish to communicate; which communication may be facilitated by communication contact information corresponding to entities returned by the search. A plurality of trust metrics are computed from the trust data and search results are ordered based on a weighted sum of trust metrics, possibly including ratings of entities, where the relative weights may be manipulated at the will of the user. The monitored parameters of such communications are represented in data stored as trust data in a database which is thus adaptively developed through use of the social trust network.

The present invention provides a method of calibrating base station comprising a plurality of antennas and operating in an Orthogonal Frequency Division Multiplex (OFDM) and Time Division Duplex (TDD) mode. One embodiment of the method includes a method of calibrating a base station comprising a plurality of antennas for beamsteering forward link traffic data to a target mobile in a TDD wireless communication system. Each antenna is connected to a corresponding radio via a transmit/receive switch that is configured to switch between a receive path and a transmit path. The method includes transmitting a first signal from a first radio via a first cross-over cable coupled to the first radio and a second radio such that the first signal is received by the second radio. The method also includes transmitting a second signal from the second radio via a second cross-over cable coupled between the first and second radios such that the second signal is received by the first radio. The method further includes determining, based on at least one of the first or second signals, a relative weight that can be applied to traffic signals transmitted from the second radio.

A weight-adjustable kettle-shaped dumbbell includes a body. The inner bottom of the body is hollow. With a selector unit, the body is able to hang a desired number of weight pieces for changing the weight of the dumbbell. The selector unit links a cable member to move upward or downward with an operating member for changing the inner and outer positions of specific selection boards in the body so as to attach relative weight pieces to the body. The kettle-shaped dumbbell of the present invention is adjustable in weight for the user's demand.

A dynamic and flexible method, system and apparatus for managing index mutual funds and index exchange traded funds (ETFs) through using and measuring Relative Strengths and Alphas of the underlying index components to periodically reweight the underlying index components. These reweightings are used in the daily rebalancing of the respective index mutual funds/ETFs to decrease market risk and seek to improve returns above those of the statically weighted index. The disclosure demonstrates how various mutual fund/ETF indexes are flexibly weighted according to Relative Strength and Alpha calculations each standing alone or used in combination. The determination of the relative weights of Relative Strength and Alpha can be made periodically by management using a back testing and computer optimization process. After periodic determination of index component weights the mutual fund/ETF index portfolio rebalancing can occur daily, multiple intervals intraday, or any interval which conforms to regulatory requirements. Portfolios suitable for this method and apparatus include equity, bonds, or hybrids (equity and bonds).

Users who visit a network site typically visit other sites in the same session. The surfing pattern or “trail” through the pages may be significant once aggregated, because it outlines the underlining relationship between those pages or sites. Once such user navigational trail data is available, the relationship between network sites on such user trails may used to make various decisions regarding advertising and keyword management. Additionally, the relative popularity of each trail may be used to rank or compute relative weights for the various user trails. Such information may then aid in keyword suggestion and advertising decisions.

Techniques are disclosed for normalizing and publishing alerts using a behavioral recognition-based video surveillance system configured with an alert normalization module. Certain embodiments allow a user of the behavioral recognition system to provide the normalization module with a set of relative weights for alert types and a maximum publication value. Using these values, the normalization module evaluates an alert and determines whether its rareness value exceed a threshold. Upon determining that the alert exceeds the threshold, the module normalizes and publishes the alert.

The invention provides a refinement method of a wireless sensor network location which is based on hops. After the initial location of an unknown node in a network is implemented, the method adopts a multi-hop extension algorithm and the least square method of relative weights for implementing the refinement computation of an initial estimation position and acquiring the coordinate of a final estimation position of the unknown node. The refinement method implements the refinement of the unknown node in a multi-hop range, thus increasing the redundancy of position computation and the number of valid reference points in the refinement, and improving the precision of the location refinement of the unknown node. With respect to the least square method of relative weights, the method assigns different weights to the reference nodes with different setting accuracies, thus suppressing the accumulation of distance measurement error and node location error in the refinement computation, and effectively improving the location precision of the unknown node. The refinement method can be taken as a subsequent step of the location methods which are based on distances or unrelated to distances, thus achieving the goal of improving location precision.

The invention discloses a dam image crack detection method based on transfer learning. The method comprises the following steps of collecting the dam crack image, preprocessing the image data set to fill the data set through a generated antagonism network GAN; using a pre-training model MobileNet that does not retain a top layer and a full-connection layer to extract image features, splicing a Flatten layer after MobileNet, splicing the full connection layer whose activation function is ReLU after the Flatten layer, and splicing the Full Connection Layer whose activation function is Sigmoid asthe output layer; frozening the first K depth decomposable convolution structures in MobileNet, and fixing the relative weights of these K depth decomposable convolution structures; training the model and only updating the weights of the unfrozen network layer in the process of model training; using the trained model to detect the dam cracks in the image. The method of the invention solves the over-fitting problem under the condition of small data set, and improves the prediction performance and the running speed through the migration learning idea.

Briefly, in accordance with one embodiment of the invention, a method of using hue to interpolate color pixel signals includes the following. For a particular pixel location in a subsampled color image, differences in hue are compared for two mutually orthogonal directions across the particular pixel location. A color signal value for that particular pixel location for a color plane other than the color plane of the pixel signal value in the subsampled color image of that location is computed. The computation includes relatively weighing the differences in hue values, the relative weights depending, at least in part, on the difference in hue value in one direction relative to the other.

What is disclosed is a system and method for method for fitness evaluation to be used with a directly calculated or iterative optimization method for automatic document assembly. The method for fitness evaluation includes the steps of first capturing the creator's desire as a set of relative weights to be applied to an intent vector. Then, calculating for each candidate document assembly a set of value-property functions that evaluate properties considered to be factors in a good design (e.g., the balance of the document component on the page). Next, an inferred intent vector needs to be determined for each candidate document assembly as a function of the calculated value property function. Note that if the inferred intent vector is determined by a matrix multiplication applied to the vector of value property function results then the relative weights and intent definition matrix can be multiplied together to provide a weight vector that can be applied directly to the value properties. The desired weights are then applied to the inferred intents to derive a fitness measure by multiplying the intent vector components by weights and summing.

Melt blended HDPE compositions for single and dual wall corrugated HDPE pipe and associated fabricated and molded fittings and accessories with enhanced physical properties and processing and environmental stress crack resistance (ESCR) characteristics and associated blend methods are disclosed in which virgin or recycled homopolymer and/or copolymer HDPE resin components are blended. The invention discloses methods for 1) selecting and determining the relative weight fractions of the HDPE blending components that provide specific physical properties and processability of HDPE blended compositions associated with density and melt index respectively and specific values of environmental stress crack resistance (ESCR) associated with specific molecular parameters and 2) for determining from molecular parameters, the ESCR of linear polyethylene resins and blended compositions within a class having similar densities. The invention reduces the cost of raw materials to corrugated HDPE pipe manufacturers by enabling the use of virgin prime commodity HDPE resins and/or wide and off specification prime HDFE resins in place of single stream specialty HDPE resins and favorably impacts the environment by providing the capability of utilizing recycled HDPE resins in place of prime HDPE resins in the manufacture of corrugated HDPE pipe.

An auction method for implementing attribute-based bidding and bid comparison in an electronic exchange. A specification defining an auction for an item is received, wherein the specification comprises a plurality of attributes of the item. An attribute defines the functionality of an aspect of the item with respect to the current auction. At least one attribute comprises a value and a score associated with the value and a portion of the plurality of attributes comprise a relative weight. The auction is then published to at least one bidder. A bid is received from a bidder, wherein the bid comprises a value associated with at least one attribute. A composite score for the bid is calculated based on the bid and the specification. A plurality of bids are then ranked based on the composite score for each bid. An evaluation score is calculated for each bid based on the bid price and composite score. A plurality of bids are then ranked based on the evaluation score for each bid.

A method and system for providing the creation of a visual summary of a video source during fast forward/rewind of the video can be created by using extracting frames either automatically or manually to create an initial visual summary. A series of weights may be assigned to the extracted frames, which are then filtered according to the relative weights to create a modified visual summary. The keyframe display rate is then adjusted according tot he fast forward/rewind speed, which can be either a standard speed or user selected speed, so as to display the keyframes while the video source is being fast forwarded/rewound. The keyframes may be substituted by selected images and audio, so that an advertiser can substitute an image of the product and a brief audio summary while the user is fast forwarding/rewinding past the commercial message.

The invention relates to a patient monitoring device, especially to a pulse oximeter. For suppressing the effects of an interference source causing adverse modulation in one or more blood related signals input to the device, a power spectrum is derived for each blood related signal and the frequency of an interference source causing unwanted modulation in the blood related signal(s) is identified. A weight function is determined, in which the relative weight of at least one frequency is dampened, the at least one frequency depending on the identified frequency. The weight function is applied to the power spectrum(s), thereby to obtain at least one weighted power spectrum. A blood related parameter of the subject is defined based on the at least one weighted power spectrum.