2277 results about "Optimization system" patented technology

A method for providing unequal allocation of rights among agents while operating according to fair principles, comprising assigning a hierarchal rank to each agent; providing a synthetic economic value to a first set of agents at the a high level of the hierarchy; allocating portions of the synthetic economic value by the first set of agents to a second set of agents at respectively different hierarchal rank than the first set of agents; and conducting an auction amongst agents using the synthetic economic value as the currency. A method for allocation among agents, comprising assigning a wealth generation function for generating future wealth to each of a plurality of agents, communicating subjective market information between agents, and transferring wealth generated by the secure wealth generation function between agents in consideration of a market transaction. The method may further comprise the step of transferring at least a portion of the wealth generation function between agents.

Systems and methods of optimizing communication channels in multi-user communication systems are provided. Coding weights are determined based on communication channel state information for communication channels between a transmitter and multiple receivers. The coding weights are applied to communication signals to be transmitted from the transmitter to the receivers. Each receiver decodes received signals using inverses of the coding weights. Embodiments of the invention support multi-user MIMO (Multiple Input Multiple Output) where each receiver has fewer antennas than the transmitter, and enhance system performance if the total number of antennas at all of the receivers exceeds the number of antennas at the transmitter.

An client-side performance optimization system for streamed applications provides several approaches for fulfilling client-side application code and data file requests for streamed applications. A streaming file system or file driver is installed on the client system that receives and fulfills application code and data requests from a persistent cache or the streaming application server. The client or the server can initiate the prefetching of application code and data to improve interactive application performance. A client-to-client communication mechanism allows local application customization to travel from one client machine to another without involving server communication. Applications are patched or upgraded via a change in the root directory for that application. The client can be notified of application upgrades by the server which can be marked as mandatory, in which case the client will force the application to be upgraded. The server broadcasts an application program's code and data and any client that is interested in that particular application program stores the broadcasted code and data for later use.

The present invention is remotely controlled automatic optimization system for maximizing in-store net profits by customized script-generated clip promotions to thousands of individually networked retail display-nodes from central server (OptiRetailChain). The computer-based and machine-learning display system includes: an advertising optimization function for display nodes, point of sale (POS) data input, retail database mining engine (RDME), client access and management control module, and in-store networked electronic clip display apparatus. The optimization function obtains data from chain-store database, combines product bundling data, which describe the associative relationships of various product sales in stores with recorded times of sale, inventory costs, margin profits etc. Physical location of purchased products on the store floor-areas are correlated with relevant display-nodes to create optimal clip display program (playlist) configurations for that specific display location and time. Most preferred product advertising combinations will be displayed in the best time slots for each node automatically. OptiRetailChain uses two methods of promotion optimization: real time scheduling and longer-term statistical optimization. Utilizing the machine learning capabilities, actual video-clip playlists will be dynamically updated for every display-node and respond to daily sales fluctuations for that store display location. This enables the optimization system to effectively control and automatically feature target advertising to large number of display-nodes in supermarket chain networks optimizing advertising capital without necessitating outside intervention.

Systems and methods are disclosed for an integrated process for optimizing operations at a contact center. In one embodiment, the method comprises: defining contact center business goals; planning at least one campaign to implement the goals; scheduling and deploying a workforce in accordance with the campaign to produce agent-customer interactions; measuring agent performance on the interactions to produce quality metrics; analyzing the metrics to produce a rating; combining quality metrics to produce performance indicators; and using the performance indicators in the planning step of a second campaign or another iteration of the first campaign.

System and method for asynchronous distributed optimization of an enterprise. The system includes multiple computer systems coupled over a network, which store and implement multiple models, including one or more dynamic models representing respective sub-systems or processes of the enterprise. At least two of the models are interdependent. The system also includes an optimizing system that includes multiple optimizers, at least two of which are interdependent, and constraints and/or objectives, and is operable to receive information related to the enterprise from multiple information sources, and use one or more of the plurality of models to generate a solution subject to the one or more constraints and/or objectives, which is usable in managing the enterprise. Some or all of the system operates in an asynchronous manner. Various portions of the system, e.g., the models, data sources, optimizers, constraints and/or objectives, etc., may be updated, e.g., asynchronously, as desired.

A building heating/cooling system energy optimization method for a building having a heating/cooling system includes the steps of providing a mathematical model of the heating/cooling system, obtaining real-time weather information, reading the input water temperature (IWT), the output water temperature (OWT) and the supply air temperature (SA) output to the building, periodically transferring the IWT, the OWT and the SA to an optimization system which is operative to analyze the real-time data in coordination with the mathematical model by assigning at least three selected values in a range surrounding and including the current values of each of the IWT, the OWT and the SA and calculating the efficiency profile of the components of the heating/cooling system for each of the selected values, then cooperatively optimizing and selecting those values calculated to provide the highest efficiency profile, then periodically resetting the system values to those selected by the optimization system.

Systems and methods are disclosed for providing alerts to one or more customers at an optimized time and communication channel based on at least customer preferences, transactions, activities, usage patterns, and other information; and for allowing customers to directly respond and communicate feedback to alerts that are provided to complete various account actions, including to “snooze” one or more alerts.

The present invention provides a configurable pricing system that allows users to define or modify data used to analyze, evaluate, improve, and design pricing changes according to the user's need. A Graphical user interface or some other type of user interface allows the user to access and review various data to be used during pricing optimization. The user may then modify this data as needed to improve the pricing evaluation, such as defining sales or pricing trends, or relationships between the product of interest and other competing items. The user interface may further display changes in pricing and the effects of the pricing changes, as caused by the user's changes. The interface may also allow the user to modify the mathematical model to be used during price optimization, as well as define variables, constraints, and boundaries to be considered during the price optimization.

An energy management system uses an expert engine and a numerical solver to determine an optimal manner of using and controlling the various energy consumption, producing and storage equipment in a plant/communities in order to for example reduce energy costs within the plant, and is especially applicable to plants that require or that are capable of using and/or producing different types of energy at different times. The energy management system operates the various energy manufacturing and energy usage components of the plant to minimize the cost of energy over time, or at various different times, while still meeting certain constraints or requirements within the operational system, such as producing a certain amount of heat or cooling, a certain power level, a certain level of production, etc. In some cases, the energy management system may cause the operational equipment of the plant to produce unneeded energy that can be stored until a later time and then used, or that can be sold back to a public utility, for example, so as to reduce the overall cost of energy within the plant.

In one aspect of the present invention, a vehicle comprises: a consumable fuel powered engine, a battery and an electric motor powered by the battery. The battery is rechargeable both from an external electric power source (such as an electric power grid) and from the consumable fuel powered engine. A computer receives data as inputs and providing outputs, wherein the input data includes an expected state of the electric power source at a time when the vehicle is expected to be coupled to the electric power source. The outputs include control signals to control the state of charge of the battery during the time the vehicle is expected to be coupled to the electric power source.

An automated system (100) for integrating narrowly focused management systems in to a financial measurement and optimization system for a multi-enterprise commercial organization. A matrix of market value is developed for each enterprise in the organization. The matrices of market value are then used to guide the integration of narrow systems in to the organization's financial system. Value and risk are analyzed by element of value on the system date as required to complete and display the matrix of market value for the organization by enterprise. A series of scenarios under both normal and extreme conditions are then developed. The information from these scenarios is then combined with market value matrix information to determine the optimal mode for financial management. The information on the optimal mode of organization operation is then communicated to the integrated narrow systems for implementation. The efficient frontier for organization financial performance is also calculated, displayed and optionally printed.

A database system with methodology for automated determination and selection of optimal indexes is described. In one embodiment, for example, in a database system, a method of the present invention is described for recommending database indexes to be created for optimizing system performance, the method comprises steps of: capturing a workload representative of database queries employed during system use; creating virtual indexes for optimizing system performance during execution of the database queries captured in the workload; computing cost benefits for different combinations of the virtual indexes; and recommending physical indexes to be created based on virtual indexes that have favorable cost benefits for the captured workload.

A system and method for selecting a machine learning method and optimizing the parameters that control its behavior including receiving data; determining, using one or more processors, a first candidate machine learning method; tuning, using one or more processors, one or more parameters of the first candidate machine learning method; determining, using one or more processors, that the first candidate machine learning method and a first parameter configuration for the first candidate machine learning method are the best based on a measure of fitness subsequent to satisfaction of a stop condition; and outputting, using one or more processors, the first candidate machine learning method and the first parameter configuration for the first candidate machine learning method.

A communication system optimizes system performance by selectively managing which mobile stations (MSs) are to serve as test MSs. The test MSs report system operating parameters in order to detect sleeping cells, coverage holes, or other flaws in system coverage or in order to determine an impact of a change in an access network configuration. The communication system further provides for end-to-end messaging between the test MSs and network servers via an access network and a core network, thereby permitting network elements that are best able to perform system optimization to control the monitoring, measuring, and reporting by the MSs. To minimize system and user inconvenience, reporting by a test MS further may be based on one or more of whether the MS is in an area of low mobility, has an acceptable power source output level, and is operating in a cell with an acceptable load level.

Dynamic classification of sections of software using a profile-based optimization system optimizes management of the sections of software. Software executes under expected usage conditions. After execution, a set of usage profiles describes the dynamic properties of sections of the software. Each usage profile includes information identifying a section of software. Each usage profile maps to an outcome meant to optimize management of the sections of the software during later execution. During such later execution, a usage background describes the dynamic properties of a section of the software. The usage background includes information identifying the section of software. By matching the usage background to a usage profile in the set of usage profiles, the section is dynamically classified during later execution. Based on this dynamic classification, the section maps to the outcome meant to optimize management of the sections of software.

We describe a 3D computer network optimisation tool using network management data including one or more of: network device data including hardware identification data, interface data characterising one or more interfaces of a said network device, firmware identification data for a said network device, operating system identification data for a said network device; information flow data relating to information flow within the network including network device information flow load data and link bandwidth data/statistical information flow data; as well as environmental data for a network device such as temperature or power consumption data and/or physical network device location data. The tool also uses captured network data and sniffer data from communication links; and connectivity of the network devices. A three-dimensional (3D) visualisation module constructs a 3D representation of said network including 3D representations of said network devices in conjunction with a representation of said connectivity in three dimensions.

A knowledge driven composite design optimization process for designing a laminate part includes steps for generating a globally optimized 3-D ply definition for a laminate part, and modifying the 3-D ply definition to include features of the laminate part, where the generating and modifying steps are parametrically linked to one another and are performed in the recited order. Preferably, the generating step includes substeps for determining connectivity between a plurality of regions defining the laminate part, subsequently generating ramp features detailing interconnection of the regions defining the laminate part, and displaying views and corresponding tabular data describing the laminate part and illustrating both inter-region connectivity and the ramp features as specified by a user. A knowledge driven composite design optimization system and associated computer memory for operating a general purpose computer as a knowledge driven composite design optimization system are also described.

A Service-oriented architecture (SOA) and accompanying method. In one embodiment, the SOA includes one or more service requesters coupled to one or more service providers via a bus. The bus includes runtime-binding functionality to facilitate interaction between the one or more service requesters and the one or more service providers. A registry, which stores information pertaining to a service provided by the one or more service providers, communicates with one or more service providers and/or requesters and the bus. In a more specific embodiment, bus includes a Service-Integration Bus (SIB) that includes a Service-Factory (SF) module for facilitating implementing the runtime binding functionality and for selectively invoking the service. Functionality of the SOA is strategically organized into various tiers and layers, including a requester tier, a provider tier, a business-process services tier, an infrastructure-services tier, an SIB layer, a persistence layer, and so on, to optimize system reusability, adaptability, and other desirable properties. A service interface pattern is described whereby a change in service implementation does not require modification to the manner in which the service is invoked by a requester

The present invention relates to a microprocessor controlled battery management system that optimizes the total electrical capacity of that battery. It uses localized cell power sources that correct the capacity of the individual connected cells to achieve the maximum capacity of the battery as it acts in a synergistic series connection of cells. The microprocessor retrieves data of battery load current, cell voltage, cell temperature, and battery charger current in timed increments. Through the application of the microprocessor's algorithms, after an initial cell profiling of individual cell capacities has been performed, individual cell DC/DC converters are enabled to correct the condition of the individual cells. In this manner the battery capacity is not affected by the capacity of the weakest cell.