108 results about "Discrete set" patented technology

A method, system, and program for managing escalating resource needs within a grid environment are provided. A job is submitted into a first selection of resources in a grid environment from among a hierarchy of discrete sets of resources accessible in the grid environment. Discrete sets of resources may include locally accessible resources, enterprise accessible resources, capacity on demand resources, and grid resources. The performance of the first selection of resources is monitored and compared with a required performance level for the job. If the required performance level is not met, then the discrete sets of resources are queried for available resources to meet the required performance level in an order designated by said hierarchy. Available resources in a next discrete set of resource from the hierarchy of discrete sets of resources are added to a virtual organization of resources handling the job within the grid environment. In particular, the virtual organization of resources may include the first selection of resources and the added resources which are distributed across heterogeneous systems. If capacity on demand resources are allocated and added to the virtual organization, then the capacity on demand resources are deallocated when no longer needed.

To greatly simplify the developer's task, an application function server or application logic controller (“ALC”) server runs on a digital electronic device with a common set of tools and methods to deliver high-value capabilities to applications developed in different application languages and running in various different application environments. The applications and the application function server have a local client-server relationship. The functions themselves are provided by various plug-ins. The interface of a plug-in illustratively is a discrete set of functions, common to the command plug-ins. The ALC Server accepts simplified commands directly from the applications, applies the appropriate policy, and interacts with the plug-ins to perform the requested functions on behalf of the applications. The result is that applications can use various capabilities without dealing with the complex methods, standards, and system interoperability required to make the technologies work, and technology additions and upgrades can be performed independently from the applications that use them.

A computer implemented method, apparatus, and computer usable program product for creating a labor standard for a task. The process automatically detects event data derived from a continuous video stream, wherein the event data comprises metadata describing a sequence of motions for performing the task, and parses the event data to identify appropriate event data describing a discrete set of motions from the sequence of motions. The process then analyzes, using an analysis server, the discrete set of motions to form a labor standard, wherein the labor standard specifies an optimal manner of performing the discrete set of motions. Thereafter, the process generates a set of recommendations for performing the task efficiently according to the labor standard.

A speed limit assistant (SLA) system includes a camera based SLA, a map based SLA, and a fusion unit. The camera based SLA is configured to determine a first set of probabilities for an input image, wherein the probabilities indicate how likely the image includes a discrete set of speed limit signs. The map based SLA is configured to determine a second set of probabilities for an input coordinate, wherein the probabilities indicate how likely the coordinate is to correspond to one of a discrete set of speed limits. The fusion unit is configured to perform a Bayesian fusion on the first and second set of probabilities to determine a final speed limit from the discrete set of speed limits.

A new broadband source having a discrete set of spectral emission lines having high peak power in each line is provided by placing a gain medium in a reflective cavity comprising reflective front and back surfaces. A cavity feedback factor less than unity is achieved by providing reflectivity of one surface substantially lower than the reflectivity of the other surface such that spontaneous emission in the gain medium is linearly amplified just below the lasing threshold. In an alternative arrangement, a movable external back surface placed at a prescribed distance from the gain medium provides a means to achieve a free spectral range and finesse of the emission lines to match a pitch of a detector array in a SD-OCT system. By simultaneously providing high power to each detector element of the array, sensitivity and imaging speed of SD-OCT system are significantly improved.

An optical system comprising two or more optical switches co-packaged together comprising discrete sets of input fiber ports (N per set) and an output fiber port (1 per set), and wherein λn from said set of multiple input fiber ports (N) is focused on λn mirror via the use of shared free space optics, one or more discrete arrays of micro electromechanical system (MEMS) mirrors in a shared array, wherein at least a first array of MEMS mirrors is utilized to select and switch selected wavelengths from the first set of input fiber ports to an output fiber port of the same set, and wherein at least a second array of MEMS mirrors using and sharing the same free space optics as the first MEMS array is utilized to produce another fiber optic switch, thus, enabling one or more N×1, or alternatively one or more 1×N co-packaged optical switching system.

The invention discloses an intelligent electricity generation control method based on an intelligent body equalization algorithm. The method comprises the steps of (1) analyzing system characteristics, determining a state discrete set S, (2) determining a joint action discrete set A, (3) collecting the real-time operating data delta f and delta P of the power grid of each area when each control cycle is started, calculating the instantaneous value of ACEi(k) and the instantaneous value of CPSi(k) of each area, (4) obtaining an instant reward value of the power grid i of each area through a current state s, (5) solving relative equalization linkage strategies through linear equalization and selected equalization selection functions, (6) executing corresponding operation on all the power grids j of all the areas, and (7) returning to the step (3) when a next control cycle comes. The intelligent electricity generation control method based on the intelligent body equalization algorithm has the advantages that better equalization points can be found in a control process, the capacity of coordination electricity generation of the power grids of all areas is improved, and the stability and the robustness of a power system are improved remarkably.

A high port count instantiated wavelength selective switch comprising two or more discrete sets, or instances, of m fiber ports totaling N fiber ports co-packaged together, one or more shared optical elements and dispersive elements, and one or more steering elements in each instance. The steering elements steer λ_(k) from each instance of m input fiber ports to a λ_(k) mirror dedicated to that fiber port instance, and wherein λ_(k) mirror of the instance of m fiber ports is utilized to select and switch one λ_(k) from the instance of m fiber ports to a fixed mirror which in turn reflects λ_(k) to the λ_(k) output mirror. The λ_(k) output mirror selects and switches one λ_(k) from one of the one or more instances of m fiber ports of the N×1 optical switch to the 1 output fiber port for each wavelength, and vice-versa for the 1×N optical switch.

A spectrum analyzer for the simultaneous analysis of electromagnetic radiation delivered to it from either multiple sources or from a linear segment along a source surface, and arranged as either continuous or discrete set of points along a short piece of a straight line referred to herein as a slit. In one embodiment of the invention, the optical design of the dispersing part of the analyzer provides essentially stigmatic spots for any spectral band up to one octave wide in the spectral range of about 400 nm to about 2500 nm.

Emitter target range and heading are estimated from bearing measurements enhancing bearings-only estimator convergence to a target track, and permitting optimization of an observer position relative to the target at the end of the total bearing measurement period. One or more estimates of the target range, speed and heading made from bearing measurements before an observer maneuver are used to determine the most appropriate observer maneuver giving complete bearings-only target-motion-analysis observability. A set of parameters characterizing a set of potential emitter signal sources is generated based on measured emitter characteristics. A most probable set of emitter platforms is identified and the emitter operating mode and corresponding platform set are associated with a kinematic regime set. A specific speed or discrete set of speeds best adapted to a set of all possible platform missions, emitter speed as a continuous function of emitter range, and emitter range are all determined.

An intelligent power generation control method based on multi-agent reinforcement learning having time tunnel thought includes the following steps: determining a state discrete set S; determining a combined action discrete set A; collecting real-time operating data of each power grid, calculating an instantaneous value of each area control error ACE(k) and an instantaneous value of a control performance standard CPS(k), and selecting search action a<k>; in the current state s, obtaining a short-term award function signal R(k) by a certain area power grid i; obtaining value function errors rho<k> and delta<k> through calculation and estimation; updating a Q function table and a time tunnel matrix e(s<k>, a<k>) corresponding to all states-actions (s, a); updating Q values and updating a mixed strategy pi(s<k>, a<k>) under the current state s; then updating a time tunnel element e (s<k>, a<k>); selecting a variable learning rate phi; and updating a decision change rate delta (s<k>, a<k>) and a decision space estimation slope delta<2>(s<k>, a<k>) according to a function. The intelligent power generation control method based on multi-agent reinforcement learning having time tunnel thought aims to solve the problem of equalization of multi-area intelligent power generation control, has a higher adaptive learning rate capability and a faster learning speed ratio, and has a faster convergence rate and higher robustness.