52 results about "Discrete choice" patented technology

The secure trust relationship between communicating programs is established at any policy defined level down to individual program instances. Policy enforcement modules installed on host computer systems support qualified encrypted communications channels between discretely selected program instances. Program instances are qualified to establish communication channels, each defined by a unique session encryption key, based on an evaluation of security data including the individual process execution contexts, user authorizations, and access attributes of the program instances. A security appliance server performs the policy-based qualification based on a mutually interdependent evaluation of the security data for both the communications channel source and target program instances.

A system obtains neuro-response data as well as survey based data during discrete choice modeling to evaluate subject decision making processes. A discrete choice model evaluates a decision made by a subject as a function of multiple variables. Neuro-response data vectors and orthogonal survey based data vectors are weighted and combined to generate multi-dimensional vectors. The multi-dimensional vectors are used to estimate the effectiveness of changing particular variables in modifying subject behavior.

A method of designing a composite laminate, the laminate comprising a plurality of zones, each zone comprising a plurality of plies of composite material, each ply in each zone having a respective ply orientation angle. A global stacking sequence is determined for the laminate, the global stacking sequence comprising a sequence of stacking sequence elements. A local laminate thickness is determined for each zone. A local stacking sequence is then determined for each zone by extracting a subsequence of stacking sequence elements from the global stacking sequence. The global stacking sequence and the local laminate thicknesses are determined together in an optimisation process in which multiple sub-ply selection variables are assigned to each stacking sequence element, each sub-ply selection variable representing the density or sub-ply thickness for a respective candidate ply orientation angle. Optimal values are determined for the sub-ply selection variables and the local laminate thicknesses. A single one of the sub-ply selection variables is assigned to each stacking sequence element thereby forcing a discrete choice of global ply orientation angle for each stacking sequence element.

A technique for assessing the viability of several concepts for new/different products, services, or bundles of products and/or services, using discrete choice modeling, or a combination of discrete choice modeling and monadic concept testing. The core of the invention involves one or more of the following: a methodological technique for combining monadic and discrete choice data, a method for gathering monadic and discrete choice data at the same time during a single fielding, a method for gathering specific diagnostic information, a method for using discrete choice modeling to generate specific diagnostic information, a unique web-enabled interface that helps individuals make quick and accurate choices by displaying concepts at low and high resolution at the same time, a unique web-enabled interface that permits gathering choice data on multiple dimensions for each set of concepts shown, methodological innovations permitting hierarchical and/or Bayesian analysis of discrete choice data using data for multiple dimensions within the same model, and methods and apparatus for storing, organizing, and reporting input and output from this system.

Disclosed is an image matching degree based marriage dating recommendation method and system. The image matching degree based marriage dating recommendation method comprises the following steps of collecting and uploading user images and other information to a server; performing vectorization on the image information and greatly reducing the number of variables for describing image features by a dimension reduction algorithm; extracting part of images to form a training set and forming a test selection set for every user to select an image matching the dating requirements most by an experimental design method; establishing an image preference discrete selection model for every user by a bayesian parameter estimation method according to the data; filtering dating objects according to other requirements of the users and transmitting image data of preselected dating objects to a matching operation unit; calculating the matching degree of the preselected dating objects according to the image preference model; recommending the dating objects meeting the matching requirements to the users. According to the image matching degree based marriage dating recommendation method and system, the accuracy of the existing online marriage dating recommendation system is improved through the processing on the image data and the improvement on a matching algorithm and accordingly the effectiveness of the online dating is improved.

Systems and methods for electronically ranking records of inventory items are provided. Inventory items satisfying search criteria are electronically identified and ranked according to an inventory score calculated from a function comprising inventory attribute values of the inventory items and weighting values corresponding to the inventory attributes. The scored inventory may be further displayed to a user, such as a user that electronically submits the search criteria. The attribute values may include inventory item characteristics perceptible to users of the inventory items. The weighting values may be generated from a discrete choice model employing a conditional logit function fit to training data. The inventory score function may further include a long term function that numerically represents inventory items characteristic that are not perceptible to users of the inventory items. The disclosed embodiments may be applied to inventory including, but not limited to, travel inventory, such as hotels.

Concepts for new/different products, services, or bundles of products and/or services are tested using discrete choice modeling, and, in some instances a combination of discrete choice modeling and monadic concept testing. In one embodiment, monadic and discrete choice data are gathered at the same time and combined. Discrete choice modeling data is then used to generate specific diagnostic information, and a web-enabled interface facilitates choices among the concepts.

This disclosure is directed at an electronic device for hotel rooms which performs a number of functions currently performed by several different devices in hotel rooms, such as clocks, phones, thermostats, and sound systems, as well as a number of functions not performed by current devices. The goal of the device is to eliminate the need for a number of discrete devices while providing a device which performs these same tasks better, through integration of features and network functionality.

The invention discloses a comprehensive transport system passenger transport mode sharing rate-distance transfer curve drawing method. The method includes the following steps that: a stratified random sampling survey method is adopted to obtain regional passenger travel information, a regional traffic travel database is constructed; according to a discrete selection behavior analysis method, a passenger transport mode selection model is constructed, and the parameters of the model are calibrated; the travel utility functions and selection probability expressions of each transport mode are determined according to the total structure of the regional transport modes, sample structures and parameter calibration results; and the selection probabilities of the transport modes under different transport distances are determined, and a regression analysis method is adopted to calibrate the selection probabilities of the transport modes, and a transport distance-based transport mode selection probability expression is determined. With the method of the invention adopted, the research gap of integrated transport system passenger transport mode sharing rate-distance transfer curve determination methods in China can be filled, and key theoretical support and technical support can be provided for comprehensive traffic planning software research and development. The method of the invention has a very broad application prospect.

Systems and methods are provided applicable to all choice scenarios where alternative competition is a function of alternative proximity along some attribute dimension. Discrete choice models can be developed which assign probabilities that a given decision-maker will choose different alternatives. Ordered Generalized Extreme Value (OGEV) and Hybrid-OGEV models are utilized to assess the probability that a given alternative is chosen based on its attributes and the parameter estimates of these attributes (obtained during model estimation). The attribute parameter estimates yield the relative importance of each attribute to a decision-maker. The attribute importance can differ by decision-maker such that different decision-makers can have different parameter estimates for the same attribute.

A method for improving a lithographic process for imaging a portion of a design layout onto a substrate using a lithographic projection apparatus, the method including: calculating a discrete pupil profile based on a desired pupil profile; selecting a discrete change to the discrete pupil profile; and applying the selected discrete change to the discrete pupil profile. The methods according to various embodiments disclosed herein may reduce the computational cost of discrete optimization from O(aⁿ) to O(n) wherein a is constant and n is the number of knobs that can generate discrete change in the pupil profile.

The invention discloses a determination method for advantageous haul distances of passenger transport modes in a comprehensive transport system. Firstly, a stratified random sampling survey method is adopted for obtaining area passenger travel information and an area traffic travel database. Secondly, according to a diffusion selection behavior analyzing method, a passenger transport mode selecting model is constructed and model parameter calibration is performed. Thirdly, combining an area transport method total structure, a sample structure and a parameter calibration result, a transport mode travel utility function and a selection probability function are determined and a transport distance based transport mode selecting general expression is determined. Finally, the advantageous haul distance of the area transport modes are determined by adopting a selective probability equivalent method. The invention fills a study gap in quantitative analysis of advantageous haul distances of the passenger transport modes in the comprehensive transport system and can provide key theory support and technical support for coordinative configuration of the comprehensive transport system. The determination method has comparatively broad application prospect.

A manual interface combines continuous and discrete control and display capabilities. The manual interface can be embodied by combining a haptic interface providing continuous control and display capabilities with one or more of multiple discrete selectors (such as tagged objects) providing discrete control capabilities. The manual interface can provide finer control and a richer sensory experience than is possible with conventional tagged objects. Further, unlike a conventional haptic interface device, the manual interface can provide easily selectable, multiple interactive possibilities.

The invention discloses a signalized intersection non-motor vehicle illegal cross-street behavior automatic judging method which comprises the following steps: (1) two cameras are set up in a pedestrian crossing and near range of the pedestrian crossing, relative parameters are arranged according to recorded videos; (2) a signalized intersection non-motor vehicle illegal cross-street behavior binary logit prediction model is built according to discrete choice analysis method, standardization is conducted to the binary logit prediction model by adopting a parameter progressive method, the result is marked; and (3) the parameter data are inputted in the binary logit prediction model and therefore signalized intersection non-motor vehicle illegal cross-street behaviors are obtained, when P is larger than 0.5, a non-motor crosses the street illegally; when P is smaller than 0.5, the non-motor does not cross the street illegally. The signalized intersection non-motor vehicle illegal cross-street behavior automatic judging method reduces artificial participation, improves judging speed, and enables the judging to be correct and fair, and meanwhile, provides theoretical foundation for intersection transformation through the factors which obviously influence signalized non-motor vehicle illegal cross-street behavior, and has practical engineering applying value.

The method for and system or apparatus for forecasting future communication transaction traffic from a customer include the steps of or structure for: collecting communication channel data on at least first and second communication channels; performing a numeric transformation to the data; calculating a discrete choice probability for each communication channel; and forecasting future period usage values for a user on a communication channel.

The invention relates to the field of marine environmental monitoring, and discloses a red tide monitoring and early-warning system. The red tide monitoring and early-warning system comprises a data acquisition device, a data diffusion analysis device and an n-dimensional data application discrete selection model device; the data acquisition device is used for acquiring sea water quality data; the data diffusion analysis device is used for performing diffusion analysis of the acquired data and generating n-dimensional data; and the n-dimensional data application discrete selection model device is used for applying a discrete selection model for the n-dimensional data, so that whether a red tide is caused or not can be determined. By means of the red tide monitoring and early-warning system disclosed by the invention, a forming process is represented by adoption of mechanical diffusion characteristics and a statistical mode; and, with the help of the manners, such as a Markov Chain Monte Carlo simulation technology and a discrete selection model, a function of predicting the red tidy generation possibility of the system can be realized.

The invention discloses a layout comparing schematic verifying method and device of a discrete device. The method comprises the following steps: marking ports of the device on a layout of the discrete device; modifying a layout comparing schematic file to ensure that the information of the marked ports can be extracted when a netlist of the layout of the discrete device is extracted; receiving a verifying operation for triggering the layout comparing schematic verifying; and extracting the netlist of the layout and comparing the netlist with a prestored netlist file to carry out the layout comparing schematic verifying, wherein the netlist file comprises port information and process dimension information of the verified device. The method and the device which are provided by the invention have the advantages that the technical problems that in the prior art, circuit drawing is needed for the LVS (Layout Versus Schematics) verification of the discrete device, the efficiency is low and the error rate is high without the LVS verification are solved; and the technical effects of increasing the efficiency of carrying out the LVS verification on the discrete device and increasing the layout accuracy are realized.

The invention discloses a method of determining an urban rail transit station connection bicycle quantity. A willingness questionnaire is designed, a questionnaire survey on outbound passengers at the rail transit station is made, acquired data are subjected to format processing, a discrete selection model is built, the well-processed willingness questionnaire data are substituted to the discrete selection model to obtain the estimated value of the parameters, the possibility of adopting bicycles for connection by the outbound passengers are calculated according to a model result, and the connection bicycle quantity is thus determined. Through building the discrete selection model, determination on the sharing rate of the connection bicycles is realized, the problem of over large deviation between the actually-allocated connection bicycle quantity and requirements can be solved, the accuracy of rail transit station bicycle quantity allocation is improved, and the built model has a high precision and has duplicability.

The invention discloses a site selection system and method, equipment and a storage medium. The site selection system comprises: a target input module used for selecting a site selection target and aninfluence factor influencing site selection; a data preparation module which is used for acquiring sample data, wherein the sample data comprises the value of the influence factor corresponding to the site selection sample and a site selection result; a model calculation module which is used for constructing a discrete selection model, solving an influence coefficient by utilizing the sample data, inputting the value of the influence factor corresponding to the site selection target into the constructed discrete selection model, and outputting the selection probability of the site selection target by the discrete selection model; and a decision confirmation module which is used for deciding whether to select the site selection target or not according to the selection probability. Varioussubjective and objective factors are comprehensively considered, site selection decision is guided through the discrete selection model, and the system has the advantages of flexibility, convenience,high expandability and the like.

The invention relates to a selection behavior preference subdivision algorithm. According to the algorithm, model parameters are estimated on the basis of selection behavior data and a discrete selection model so as to serve as representations of selection behavior preferences. The algorithm comprises the following steps of: decomposing the data into a plurality of sub-samples which are solvable to the lowest limit by using a Monte Carlo algorithm, wherein basis of the decomposition is a similarity between the model parameters, namely, comprehensively considering a relative difference betweentwo model parameters and credibility of the difference; classifying all the sub-samples step by step which are solvable to the lowest limit by taking the similarity as a distance index by using a hierarchical clustering algorithm; and finally determining a proper quantity of models according to a Bayesian information standard so as to obtain subdivided selection behavior preference types. According to the algorithm provided by the invention, heterogeneity in selection behavior data is mined; and compared with basic discrete selection model algorithm, the algorithm is capable of obtaining moreaccurate selection behavior preferences and models of different types of persons or groups, and laying a foundation for obtaining more accurate and pointed behavior prediction results for related applications.

Described is a system for using social media data to supplement survey data for discrete choice analysis. Survey data from consumers is segmented into demographic groups. Individual demographic attributes and consumer product attribute preferences are extracted from a set of social media data. Consumer product attribute preferences are determined for each demographic group using the set of social media data. Consumers' preference coefficients are generated for each demographic group. Finally, individualized incentives for a target consumer product are determined using the consumers' preference coefficients.