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52 results about "Discrete choice" patented technology

In economics, discrete choice models, or qualitative choice models, describe, explain, and predict choices between two or more discrete alternatives, such as entering or not entering the labor market, or choosing between modes of transport. Such choices contrast with standard consumption models in which the quantity of each good consumed is assumed to be a continuous variable. In the continuous case, calculus methods (e.g. first-order conditions) can be used to determine the optimum amount chosen, and demand can be modeled empirically using regression analysis. On the other hand, discrete choice analysis examines situations in which the potential outcomes are discrete, such that the optimum is not characterized by standard first-order conditions. Thus, instead of examining “how much” as in problems with continuous choice variables, discrete choice analysis examines “which one.” However, discrete choice analysis can also be used to examine the chosen quantity when only a few distinct quantities must be chosen from, such as the number of vehicles a household chooses to own and the number of minutes of telecommunications service a customer decides to purchase. Techniques such as logistic regression and probit regression can be used for empirical analysis of discrete choice.

Secure interprocess communications binding system and methods

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.
Owner:PHAM DUC +3

Discrete choice modeling using neuro-response data

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.
Owner:THE NIELSEN CO (US) LLC

Method of designing a composite laminate

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.
Owner:AIRBUS OPERATIONS LTD

Assessing Demand for Products and Services

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.
Owner:THE NIELSEN CO (US) LLC

Image matching degree based marriage dating recommendation method and 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.
Owner:孟露芳

Optimized inventory selection

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.
Owner:EXPEDIA INC

Assessing demand for products and services

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.
Owner:THE NIELSEN CO (US) LLC

Comprehensive transport system passenger transport mode sharing rate-distance transfer curve determination method

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.
Owner:XI'AN UNIVERSITY OF ARCHITECTURE AND TECHNOLOGY

System and method for modeling consumer choice behavior

InactiveUS20070241944A1Promote modelCode conversionResourcesDecision makerProbit
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.
Owner:COLDREN GREGORY M +1

Method of designing a composite laminate

A method of designing a composite laminate including a plurality of zones, each zone including a plurality of plies of composite material, each ply having a respective ply orientation angle. A global stacking sequence of stacking sequence elements is determined for the laminate. 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 laminate thicknesses are determined together in an optimization process in which multiple sub-ply selection variables are assigned to each stacking sequence element. Optimal values are determined for the sub-ply selection variables and the 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.
Owner:AIRBUS OPERATIONS LTD

Highway network macroscopic traffic flow simulation method with consideration of multiple driver styles and lane selection preferences

The present invention relates to a highway network macroscopic traffic flow simulation method with the consideration of multiple driver styles and lane selection preferences. The method comprises the steps of (1) dispersing a road network as a cellular in a space, and selecting an appropriate simulation step length, (2) classifying drivers according to driving tendency and an expected speed, (3) inputting the initial state of each cellular, (4) determining a lane change ratio by using a dispersed selection model of three aspects of effectiveness of lane preference, speed preference and lane change cost, combined with a sending-receiving balance principle, calculating the flow of each cellular in the current simulation step length, (5) updating the states of all cellulars according to the current state of each cellular and the flow in the current simulation step length, and (6) repeating the steps of (4) and (5) until the simulation is ended. According to the method, the difference in driving tendency and lane selection of each driver in an actual traffic flow is considered, a highway traffic flow lane utilization rate mode and a flow-speed relation curve can be accurately simulated, and a traffic flow operation condition is accurately reflected.
Owner:TONGJI UNIV

Discrete source mask optimization

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.
Owner:ASML NETHERLANDS BV

Determination method for advantageous haul distances of passenger transport modes in comprehensive transport system

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.
Owner:XI'AN UNIVERSITY OF ARCHITECTURE AND TECHNOLOGY

Signalized intersection non-motor vehicle illegal cross-street behavior automatic judging method

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.
Owner:SOUTHEAST UNIV

Discrete choice method of reporting and predicting multiple transaction types

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.
Owner:ROCKWELL ELECTRONICS COMMERCE TECH LL +1

Red tide monitoring and early-warning system

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.
Owner:XI AN JIAOTONG UNIV

Microscopic simulation method based on house selecting models of house-renting selectors and house selecting models of house-purchasing selectors

InactiveCN103839113AScientific decision-making suggestionsEffective decision-making adviceForecastingData miningLog likelihood
The invention relates to a microscopic simulation method based on house selecting models of house-renting selectors and house selecting models of house-purchasing selectors. According to the method, the selection influence factors of the two kinds of selectors at house selecting time are researched, house selecting sub-models of the two kinds of the selectors are established, the utility probability is calculated through a multiple discrete selection method, the utility equation coefficient is estimated through the maximum likelihood estimation method, and the contribution degree, the credibility and the fit goodness of the sub-models can be detected through t statistic value and the adjustable log-likelihood ratio. By the adoption of the method, the house selecting behavior of townsfolk can be simulated, scientific, effective and global decision suggestions can be given to individual house selection of residents, changes of city land utilization can be effectively simulated and predicted, and auxiliary decision support is provided for city construction, management and planning work.
Owner:CHINA UNIV OF GEOSCIENCES (WUHAN)

Layout comparing schematic verifying method and device of discrete device

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.
Owner:SOI MICRO CO LTD

Small and medium-sized airport site selection and layout method under comprehensive traffic and transportation system

The invention provides a small and medium airport site selection and layout method under a comprehensive traffic and transportation system, which comprises the following steps of: defining a multi-airport system region boundary, then establishing a traffic correlation degree model, and carrying out traffic region division on a multi-airport system region; establishing a passenger flow index system, performing reduction on the passenger flow index system, then constructing a neural network model, and predicting the total outward travel amount of each traffic area; introducing a foreground theory, using a Bayesian network to correct a traditional discrete selection model to obtain a civil aviation travel sharing rate; constructing a node importance index system for the nodes of the traffic transportation network based on the airports of the multi-airport system area; and after fuzzy mathematics and clustering analysis are introduced, obtaining an alternative scheme set of the airport site through screening, and establishing an airport layout mathematical model based on the alternative scheme set and the civil aviation travel passenger flow volume to obtain the optimal site selection of the airport. According to the method, based on competition and coordination among airports in a multi-airport system and competition and coordination between civil aviation and other transportation modes, site selection and layout of small and medium-sized airports are achieved.
Owner:CIVIL AVIATION FLIGHT UNIV OF CHINA

Urban rail transit station connection bicycle quantity determination method

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.
Owner:SOUTHEAST UNIV

Path selection method considering user perception difference in combined travel mode

The invention discloses a path selection method considering user perception difference in a combined travel mode. One or more all-day planning path sets are provided for a user according to a MaaS platform; discrete selection modeling analysis is carried out on user selection preferences; a regret value is used as an evaluation standard to improve a traditional logit model. Therefore, the perception difference of different crowds to the four attributes can be considered; wherein the perception attribute difference and the option difference respectively comprise an absolute effect, a relative effect and symmetry, and finally loading the perception attribute difference and the option difference into the multi-mode road network to form static user balance under a specific condition, so as toobtain the average traffic flow of the multi-mode road network in different time periods under the specific condition, and identify the change condition of the travel mode between the time periods. Through the model, the corresponding group data is analyzed, the MaaS platform can manage the path of people according to the perception difference of the users, then the traffic condition on the road surface is indirectly influenced, and the distribution and management of traffic resources can be better carried out, so that the utilization rate of the resources is improved.
Owner:SOUTHEAST UNIV

Traffic network design software based on subjective welfare maximization

Traffic network design software based on traveler subjective welfare maximization is developed by adopting an R language. From the algorithm, the traffic network design software is a double-layer model, the upper layer of the model is used for achieving maximization of subjective welfare of travelers under a given investment budget, and the lower layer of the model is a feedback process between aNested Logit model and a user equalization model. Because a discrete selection model is adopted for travel demand prediction, subjective welfare of travelers can be measured. However, solving of a double-layer model is very challenging, a global optimal solution is difficult to obtain through a traditional optimization algorithm, and the software designs a simulated annealing algorithm to find theoptimal solution. In terms of development language, R language open source is free, matrix language algorithm efficiency is high, and the software can be easily used by researchers and the industry.Simulation research shows that the method can effectively find the traffic network design with the largest subjective welfare of travelers under the given investment budget.
Owner:SOUTHEAST UNIV

Site selection system and method, electronic equipment and storage medium

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.
Owner:BEIJING JINGDONG SHANGKE INFORMATION TECH CO LTD +1

Method for predicting and evaluating impact influence of passenger flow after large-scale activity on subway station

The invention provides a method for predicting and evaluating the impact influence of the passenger flow after a large-scale activity on a subway station. The method comprises the steps of establishing and solving an optimal travel behavior decision model of individual passengers from a large activity venue to a destination point at the end moment of a large activity based on an evacuation trafficnetwork, and obtaining an alternative travel scheme set of the individual passengers; constructing and solving a large-scale activity scattered individual passenger discrete travel decision-making model by utilizing a random utility theory based on the alternative travel scheme set to obtain the probability that the passengers select each alternative scheme; and calculating the total evacuated passenger flow volume borne by each urban rail transit station after the large-scale activity is finished. According to the method, the convenience of multi-mode traffic such as walking, shared bicycles, connection buses and taxies around a large activity venue is comprehensively considered, the optimal travel decision model and the discrete selection behavior model of scattered crowds are established, and the method has important significance for advanced response and effective organization of a subway system in the period of a large activity.
Owner:BEIJING JIAOTONG UNIV +2

Online Sales Method for Information Handling Systems and Related Peripherals

A configurator is provided with the ability to present to a user how each choice or change to an information handling system would effect the performance of the information handling system for an intended use. More specifically, during an online sales process, the customer is first presented with a list of gaming genres or gaming titles for which the information handling system to be purchased is targeted to use along with a base or recommended configuration. The configuration process proceeds with each discrete choice now presented to the user not only with the price but also with the specific system performance impact of that item, such as showing a Frame Per Second indication. A new set of fields are provided for each item in the configuration database and may be proportional to the number of gaming genres or titles presented to the customer at the first selection screen. As the customer proceeds through the configuration process the total price of the configured information handling system is presented along with the performance data.
Owner:DELL PROD LP

Selection behavior preference subdivision algorithm

ActiveCN108255949AAccurate Choice Behavioral Preference ModelTroubleshoot Failure to Fit a ModelBuying/selling/leasing transactionsMarketingLower limitPattern recognition
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.
Owner:TONGJI UNIV

Increase choice shares with personalized incentives using social media data

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.
Owner:HRL LAB
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