251 results about "Decision points" patented technology

A navigation device displays major routes and direction indications without a specific destination requirement. Where several possible destinations are presented, the device displays information for a destination at or when nearing decision points for traveling to the destination. Direction indicators can be presented on top of an appropriately scaled map having routes displayed which are integral to the indicators and directions. A destination displayed may be selected to retrieve detailed driving instructions to that specific destination. In one embodiment, the navigation device displays direction indications to major destinations, entrances, exits, and other important facilities in a "highway sign" fashion at major decision points.

The invention provides a navigation device capable of playing voice guidance. In one embodiment, the navigation device comprises a GNSS receiver, a Geographic Information System (GIS), a control module, an audio processing module, and a speaker. The GNSS receiver provides a position, a velocity, and an acceleration of the navigation device. The GIS determines a route according to a map data and determines a decision point in the route. The control module dynamically determines a playing policy corresponding to the decision point according to the position, velocity, and acceleration, and generates a guiding sentence corresponding to the decision point according to the playing policy, wherein the playing policy determines a number of words in the guiding sentence. The audio processing module then generates a guiding voice signal corresponding to the guiding sentence. The speaker then plays the guiding voice signal.

A rules-based software architecture that provides the infrastructure for the definition and execution of end-user rules logic. This enables end-user automation of data in a unified storage platform using simple IF-THEN rules. The architecture includes a monitoring component that tracks items associated with the data, and a rules component interfaces to the rules component, and employs metadata associated with the tracked items to provide for automated handling of a subset of the items. The system further provides for defining virtual collections and items in the system using content based logic. The system further comprises one or more trigger components that sets items and collections of items dynamically active as a function of trigger logic. Additional components can include a constraint component for imposing constraint logic on items, and a decision component that supports enabling application customization logic at decision points.

A computer-implemented decision management system which provides qualitative client assessment via point in time simulation. More specifically, the decision management system (a) simulates the effect of a strategy by applying the strategy to client data, and (b) tracks what type of client traveled through a respective decision point in the strategy during the simulation. Simulation parameters can be selected without technical intervention via, for example, a GUI and a relational data model. Such parameters can include which customers and which client data sample will be used for the simulation, and which inbound events will trigger the strategy. Moreover, detailed and aggregate results can be consolidated to determine expected results from the simulated strategies, and traditional and OLAP reporting facilities can be applied to analyze / view the consolidated results.

The present system and associated method resolve the problem of providing statistical performance guarantees for applications generating streams of read / write accesses (I / Os) on a shared, potentially distributed storage system of finite resources, by initiating throttling whenever an I / O stream is receiving insufficient resources. The severity of throttling is determined in a dynamic, adaptive way at the storage subsystem level. Global, real-time knowledge about I / O streams is used to apply controls to guarantee quality of service to all I / O streams, providing dynamic control rather than reservation of bandwidth or other resources when an I / O stream is created that will always be applied to that I / O stream. The present system throttles at control points to distribute resources that are not co-located with the control point. A competition model is used with service time estimators in addition to estimated workload characteristics to determine which I / O needs to be throttled and the level of throttling required. A decision point issues throttling commands to enforcement points and selects which streams, and to what extent, need to be throttled.

Disclosed herein are a data processing system and method of operating a data processing system that arbitrate between conflicting requests to modify data cached in a shared state and that protect ownership of the cache line granted during such arbitration until modification of the data is complete. The data processing system includes a plurality of agents coupled to an interconnect that supports pipelined transactions. While data associated with a target address are cached at a first agent among the plurality of agents in a shared state, the first agent issues a transaction on the interconnect. In response to snooping the transaction, a second agent provides a snoop response indicating that the second agent has a pending conflicting request and a coherency decision point provides a snoop response granting the first agent ownership of the data. In response to the snoop responses, the first agent is provided with a combined response representing a collective response to the transaction of all of the agents that grants the first agent ownership of the data. In response to the combined response, the first agent is permitted to modify the data.

This optical receiving device for discriminating and recovering a data signal, which results from converting an optical signal input through a dispersion equalizer into an electrical signal and amplifying it to a pre-determined amplitude, by using a clock and data recovery circuit for discriminating a data signal at the decision point controlled to achieve the optimum position controls the dispersion characteristics of a dispersion equalizer so that the error count in the recovered data signal by using a clock and data recovery circuit will be minimized by controlling the eye pattern of the data signal which has been amplified to a pre-determined amplitude.

PDA systems, devices and methods are provided for improved navigational route planning. The PDA provides more understandable, accurate and timely information for negotiating a decision point along a route. The PDA includes a processor operable to communicate with a memory. The memory has cartographic data and a route to a desired destination stored therein. The cartographic data includes data indicative of thoroughfares of a plurality of types. A display is provided which is adapted to communicate with the processor and the memory and which is capable of displaying the cartographic data. The PDA processes travel along the route. The PDA recognizes when the device is approaching a decision point in the route and provides to the display an overlay screen on top of any presently displayed screen, the overlay screen adapted to display a preview of a decision point.

A navigation system and related operating methods are provided for instructing an operator of a vehicle. The navigation system obtains a destination location and generates a proposed route to the destination location. The proposed route is defined by one or more driver decision points and associated driving maneuvers. Before the vehicle reaches an approaching driver decision point, the navigation system pre-calculates alternate routes between the approaching driver decision point and the destination location, and saves the alternate routes for subsequent activation. Pre-calculated alternate routes can also be used to determine and indicate the relative importance of an approaching driving maneuver. The driver can consider the importance of driving maneuvers when deciding whether or not to follow the recommended route.

Systems and methods to generate business recommendations for specific business actions based on weather element forecasts and known relationships between a business activity and weather elements are provided. The system includes a confidence level filter, an opportunity matrix filter, a weather decision point generator, a business rule recommendation engine and a business rule knowledge database. Methods to generate a business recommendation for a business activity are also provided. The methods include receiving weather driven demand data, assigning opportunity measures to each of the data points, identifying weather decision points based on opportunity measures, and applying business weather rules to the weather decision points to generate business recommendations. In a further feature, a weather element relationship and / or a weather element forecast confidence level is assigned to each data point within the weather driven demand data. These confidence levels are then factored in to determine weather decision points.

A navigation device comprises a processing section (520); and an output section (530) for providing an output responsive to the processing section; wherein the processing section (520) has access to map data (540) and avoidance data (550), the avoidance data (550) including information for identifying undesirable locations, and the processing section (520) is arranged to: receive location information representing a geographical location and direction of travel in relation to the map data (540); and establish, based on the location information and map data (540), whether the geographical location and direction of travel approach a navigation decision point having a plurality of navigation choices, where each navigation choice corresponds to an onward route leaving the navigation decision point; determine, based on the map data (540) and avoidance data (550), for at least one onward route leaving the navigation decision point, whether the onward route unavoidably includes an undesirable location; and provide result information to the output section (530) based, at least in part, on the determination.

A cost zone about an origin on an digital map includes the area on the map that can be traveled to, from the origin, which has a cost of travel less than a predetermined cost. The cost can be measured in distance, time of travel, ease of turning, tolls, etc. The steps of creating a cost zone include identifying a set of decision points on the map that are within a predetermined factor of the desired cost, triangulating the decision points to create a set of triangles and interpolating along a subset of the sides of the triangles to estimate the locations along the sides that can be traveled to at the desired cost.

Systems and methods for the decision-theoretic control and optimization of crowd-sources workflows utilize a computing device to map a workflow to complete a directive. The directive includes a utility function, and the workflow comprises an ordered task set. Decision points precede and follow each task in the task set, and each decision point may require (a) posting a call for workers to complete instances of tasks in the task set; (b) adjusting parameters of tasks in the task set; or (c) submitting an artifact generated by a worker as output. The computing device accesses a plurality of workers having capability parameters that describe the workers' respective abilities to complete tasks. The computing device implements the workflow by optimizing and / or selecting user-preferred choices at decision points according to the utility function and submits an artifact as output. The computing device may also implement a training phase to ascertain worker capability parameters.

In a framework of networks including at least a service policy decision point S-PDP (4), a network resource policy decision point NR-PDP (8), a user resource policy decision point UR-PDP (14), a P-CSCF or S-CSCF (13 or 7), a SGSN (12), and a GGSN (11), the method includes the following steps:transmitting the characteristics corresponding to the qualities of service QoS as provided for in a home network (2) to a visited network (3);extending the SIP / SDP messages to pass QoS characteristics related to a user, between a home network S-CSCF (7) and a visited network P-CSCF (13) or between a user equipment (15) and a visited network P-CSCF (13);using QoS received for a user calling from visited network (3), to enforce a visited network resource policy consolidated with the home network service policy, in the visited network during a multimedia communication session.

A methodology for reservoir understanding that performs investigation of asphaltene instability as a function of location in a reservoir of interest. In the preferred embodiment, results derived as part of the investigation of asphaltene instability are used as a workflow decision point for selectively performing additional analysis of reservoir fluids. The additional analysis of reservoir fluids can verify the presence of asphaltene flocculation onset conditions and / or determine the presence and location of phase-separated bitumen in the reservoir of interest.

A method, computer program and system for consuming reusable software assets, said assets being described with elements and attributes, said assets containing at least one variable element (VPs) themselves containing at least one variant. The user executes a program on a computer by first choosing the asset to be consumed. A decision tree corresponding to the asset is traversed, each decision point corresponding to a variable element. The decision point is processed by asking the user inputs to modify the variants of the corresponding variable elements. The modified variable elements are stored. The dependency of the decision point is indicated by a dependency attribute in the variable element.The program can stop at the initiative of the user or when the decision tree is completely traversed. When the decision tree has been partially traversed, the program can be restart after the last decision point processed starting from the partially modified corresponding variable element.

A system and method for recommending products at the retail point of decision is disclosed.

A method of providing route attribute information is described, together with a device for performing the same. The method comprises accessing information indicative of a primary route to a destination location determined with respect to a trip database storing information indicative of a personal road network of a user of a mobile device, and an attribute of the primary route. One or more alternate routes to the destination location are determined, together with an attribute of each alternate route. Attribute information associated with at least one alternate route to the destination is output when a location of the mobile device is proximal to a decision point of the personal road network.

An approach is provided in which a knowledge manager processes an image using a convolutional neural network. The knowledge manager generates a pixel-level heat map of the image that includes multiple decision points corresponding to multiple pixels of the image. The knowledge manager analyzes the pixel-level heat map and detects sets of decision points that correspond to target objects. In turn, the knowledge manager marks regions of the heat map corresponding to the detected sets of per-pixel decision points, each of the regions indicating a location of the target objects.

The invention discloses a processing method and device of an image with a human face. The method comprises the steps that the image with the human face in a current scene is acquired; human face recognition is carried out on the image with the human face to acquire a human face region and an ambient light region except the human face region; a human face decision point of the human face region and an ambient light decision point of the ambient light region are determined; according to the human face decision point, the ambient light decision point and a set distance threshold, a white balance parameter is adjusted; and according to the white balance parameter, the image with the human face is adjusted. According to the technical scheme provided by the invention, by dividing the image with the human face into the human face region and the ambient light region, white balance parameter adjustment is carried out on the human face region; the scene nature is effectively reduced; and the image quality is improved.

Systems and methods to generate business recommendations for specific business actions based on weather element forecasts and known relationships between a business activity and weather elements are provided. The system includes a confidence level filter, an opportunity matrix filter, a weather decision point generator, a business rule recommendation engine and a business rule knowledge database. Methods to generate a business recommendation for a business activity are also provided. The methods include receiving weather driven demand data, assigning opportunity measures to each of the data points, identifying weather decision points based on opportunity measures, and applying business weather rules to the weather decision points to generate business recommendations. In a further feature, a weather element relationship and / or a weather element forecast confidence level is assigned to each data point within the weather driven demand data. These confidence levels are then factored in to determine weather decision points.

The invention discloses a cooperative optimization and control method for a mixed traffic flow of an expressway. The cooperative optimization and control method for the mixed traffic flow of the expressway is applied to vehicle optimal control under a merging scene of a ramp of the expressway. The cooperative optimization and control method for the mixed traffic flow of the expressway comprises the steps of predicting a vehicle track by using a microscopic vehicle following model; determining an optimization and control target vehicle; determining an optimization track section of a controllable vehicle; controlling a decision point and an admissible state set under each time; and carrying out optimization and control on the vehicle track. The cooperative optimization and control method forthe mixed traffic flow of the expressway has the beneficial effects that a microscopic traffic flow simulation environment based on the microscopic vehicle following model is established, and trafficeffects of different traffic states and different automatic driving vehicle permeability are analyzed; a brand-new cooperative merging model is proposed on the basis of the microscopic following model, traffic characteristics, geometric constraint and security constraint of the expressway are considered, and a cooperative merging problem is concluded into an optimization and control problem aboutdiscrete time state constraint; and a solving method based on dynamic programming is proposed to effectively solve the problem.

A parser engine programming tool configured to receive an input file representing a directly connected cyclical graph or tree of decision points for parsing a range of incoming packet headers, automatically generate all possible paths within the graph and thereby the associated possible headers, and convert the determined paths / headers into a proper format for programming memory of a parser engine to parse the determined headers (represented by the paths).

The invention provides a production-data-driven dynamic job-shop scheduling rule intelligent selection method and belongs to the manufacturing enterprise job shop production planning and scheduling application field. The method mainly comprises the following steps: introducing a Multi-Pass algorithm simulation mechanism, establishing a job-shop production scheduling simulation platform, and generating production planning and scheduling sample data; screening the obtained sample data and generating a scheduling parameter set; designing BP neural network models for scheduling knowledge learningunder different scheduling targets; optimizing training of the BP neural networks through a new firefly algorithm to obtain NFA-BP models; integrating the NFA-BP models under various scheduling targets into an intelligent scheduling module, which is integrated with a job shop MES system to guide on-line scheduling; manually adjusting online production planning and scheduling deviation and updatingthe scheduling parameter set, and the intelligent scheduling module carrying out online optimization learning; and the intelligent scheduling module adapted to real workshop production status outputting optimal scheduling rules according to current job conflict decision points.

An apparatus and method for loading and configuring a print driver onto a PC / workstation such that upon completion the PC / workstation is fully enabled to send print jobs to a printer connected on a network includes a unique methodology which eliminates virtually all of the steps, data entry, and decision points that a user would typically encounter. This printer-resident system includes the ability to have the target printer, upon a simple printer front panel pushbutton request, synthesize a complete installer program that is then written to a removable storage device, e.g., USB flash drive. Once written, the storage device is removed from the printer and installed on the user's PC / workstation. The user then accesses the flash drive contents and runs the installer program executable. The installer program, owing to the fact that it was created on the target printer, has all the information needed for a one-click, fully automated installation process.

Various embodiments of a method, apparatus and article of manufacture provide a decision point in a workflow system comprising a server and at least a first client work node. A decision point work node is provided at the server. A SQL expression which is associated with the decision point work node and the first client work node is generated. The server determines whether to route a work package to the first client work node based on the SQL expression.

An A / D converter samples an input signal with a first clock. An FIR filter generates data at a zero-crossing point / data decision point from the sampled data. A decimation circuit decimates an output of the FIR filter 2 with a second clock. A phase comparator detects a phase error of the output signal of the decimation circuit. An NCO generates a phase signal by integrating the phase error. A tap coefficient computing unit generates tap coefficients of the FIR filter in accordance with the phase signal. In the NCO, if the phase signal exceeds “π”, “2π+ the phase error” is subtracted from the phase signal.

A system, method and computer program product are provided for determining a minimum future benefits value for exercising a contingent claim of an option. The method may include determining a present value distribution of contingent future benefits at an expiration exercise point, and present values of respective exercise prices at the expiration exercise point and one or more decision points before that point. Determining these present value distribution and present values may include discounting a distribution and respective values according to first and second discount rates, respectively. The method may also include repeatedly determining, for a plurality of forecasted asset values at a selected decision point, respective values based upon the present value distribution and the present values, where the respective values may be conditioned on the forecasted asset values. A forecasted asset value that maximizes the value may then be selected.

A system, method and computer program product are provided for determining a minimum future benefits value for exercising a contingent claim of an option. The method may include determining present value distribution(s) of contingent future value and present value(s) of respective exercise price(s) at an expiration exercise point and / or one or more decision points before that point. Determining these present value distribution(s) and present value(s) may include discounting respective distribution(s) and value(s) according to first and second discount rates, respectively. The method may also include repeatedly determining, for a plurality of candidate minimum asset values at a selected decision point, respective values based upon one or more of the present value distribution(s) and one or more of the present value(s), where the respective values may be conditioned on the candidate minimum asset values. A candidate minimum asset value that maximizes the value may then be selected.