8900 results about "Performance index" patented technology

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.

A system and method for creating and managing a business process integration solution comprises modeling a business strategy including elements representing business measurements and initiatives according to defined business goals and objectives of an entity; modeling business operations of the entity in terms of business process elements including process tasks, artifact flows and artifact repositories, and business commitment elements including incorporating key performance indicators; mapping elements of the strategy model with artifact and process elements of the operations model; and, measuring business performance and comparing performance measurements against the key performance indicators. The business strategy and operation model process elements may be continuously refined over a solution development lifecycle as a result of process measurements and comparing. A business level modeling language is further implemented for formally representing the business operations.

The invention discloses an unmanned vehicle dynamic path programming method based on environment uncertainty, comprising steps of establishing a vehicle kinetics model, establishing a dynamic environment model and necessary conditions for anew programming a path, obtaining a motion state original value of the unmanned vehicle, a vehicle motion state original target value and a vehicle motion state candidate target value, generating a candidate path, obtaining an optimal path through selection based on a safety index and a rapidity index, and reprogramming the optimal path of the unmanned vehicle when the unmanned vehicle motion environment satisfies the condition where the new path can be programmed. Compared with the prior art, the invention can not only satisfy the safety requirement for safety driving, but guarantees the driving efficiency under the constraint of the vehicle model. The invention realizes the coordination optimization of the performance index through distribution of various weights, realizes the real-time planning under the condition where a plurality of dynamic obstacles exist, and effectively improves the safety of the unmanned vehicle driving.

The subject invention pertains to a centralized key performance indicator (KPI) framework and systems and methods of utilization. In particular, KPIs can be defined and centrally stored as data or metadata in a data store. Systems and methods are provided to enable, among other things, KPI definition, storage, identification of defined or available KPIs, and interaction with the KPIs. For instance, an interface is provided to allow KPI data to be requested and retrieved from a source such as a database. A generic application program or users thereof can then interact with and display KPI data without knowing anything a priori about the stored data or the structure thereof.

In one embodiment of an optical pointing device, an illumination system includes a plurality of light sources. Each light source is characterized by a unique set of illumination characteristics. Illumination characteristics include impinging angle, light wavelength, light homogeneity, and the like. A sensor receives electromagnetic energy originating at the light source to scan an imaged area. The sensor measures performance indexes associated with the light sources, which depend on the illumination characteristics. The sensor includes an imaging module, which may include passive filters, and control logic, which includes at least a DSP module and a light sensor selection module. Another embodiment includes additional signaling light sources that do not interfere with the illumination system and are for signaling to the user. A method to select the most adequate light source for any given surface is based on measured performance indices.

Systems and methods consistent with the present invention provide a supplier performance measurement that uses historical data combined from disparate data sources to evaluate suppliers and rank the suppliers according to key performance indicators or attributes. The supplier rankings are used in a qualitative model to allocate customer demand to the suppliers based upon the supplier rankings and other factors.

The invention discloses an operation and maintenance automation system and method. The system comprises a data acquisition module, a pre-processing and storing module, a prediction module, an algorithm evaluation module and an operation and maintenance monitoring management module, wherein the data acquisition module is used for acquiring key performance indexes and running states of monitored units in an operation and maintenance system through a network management protocol or a log file; the pre-processing and storing module is used for performing pre-processing work and sorted storing on data acquired by the data acquisition module; the prediction module is used for performing predictions, including a CPU (Central Processing Unit) load prediction and a disk load prediction according to the data processed by the pre-processing and storing module; the algorithm evaluation module is used for establishing an evaluation criterion of a prediction algorithm and the prediction module, comparing an actual value with a predicted value of the prediction algorithm, and establishing a self-learning process; and the operation and maintenance monitoring management module is used for interacting with operation and maintenance management personnel. A load prediction mechanism and an algorithm prediction model are established in order to finish predictions specific to resource use situations of CPUs, memories, disks and the like. Alarm information is analyzed by further referring to a load prediction result in order to give a relevant auxiliary decision. Resource expansion and fault handling are realized in a way of using scripts, an API (Application Programming Interface) interface and the like.

The disclosed I-CBTC mobile closed train operation control system applies wireless communication way to transmit information between ground control center and train, and comprises an ATS or CTC system, a DSU system, a CI system, a ZC or RBC system, a VOBC system, a dual-ring redundant backbone network COM_network system, a ground-train redundant wireless network DCS system, and interfaces among nodes. This invention normalizes and standardizes former function, performance index and interfaces, and reduces cost greatly.

The invention discloses a method for testing the assembly performance of a rotor of an aircraft engine, which comprises the following steps of: firstly exciting and vibrating a rotor of an aircraft engine with a vibration exciter; obtaining a multiple carrier-coupled impulse response signal of the rotor of the aircraft engine with a vibrating sensor and signal-acquiring system software; analyzing the obtained multiple carrier-coupled impulse response signal of the rotor of the aircraft engine by means of dual-tree complex wavelet transform to obtain eight signal carrier-coupled impulse response signals of the rotor of the aircraft engine; and distilling the average assembly performance index of the obtained eight signal carrier-coupled impulse response signals of the rotor of the aircraft engine, wherein the assembly performance of the rotor of the aircraft engine is judged to be qualified if the obtained average assembly performance index is larger than or equal to 10, and the assembly performance of the rotor of the aircraft engine is judged not to be qualified if the obtained average assembly performance index is less than 10, so that the rotor needs to be repaired.

A method and system for improving performance within a contact center are provided. The method includes monitoring one or more Key Performance Indicators (KPIs) corresponding to the contact center having one or more agents associated thereto. The method further includes determining a weighted sum of the KPIs based on a weight assigned to each key performance indicator. Further, the method includes modifying one or more parameters within the contact center to improve the weighted sum of the KPIs when the weighted sum of the KPIs crosses beyond a threshold level.

Systems and methods for monitoring and controlling business level SLAs (Service level Agreements), and more particularly, systems and method for monitoring and controlling business level SLAs using probe points, KPIs (Key Performance Indicators) and business commitments. An XML (extensible Markup Language)-based specification referred to as BPCL (Business Process Commitment Language) is used to describe business commitments. BPCL specifications are used by a business process management (BPM) system to configure, monitor, and control business processes based on business commitments. Business Commitments and BPCL provide a path toward model-based management for dynamic e-business solutions.

The invention discloses a wireless network slice based resource management method, and relates to the technical field of an access network of wireless communication technologies. The resource management method specifically comprises the steps that the current network is divided into a plurality of different wireless network slices according to characteristics of all access services in the current network; a centralized upper layer wireless resource manager allocates a special second-layer wireless resource manager for each slice according to a transmission mode, resource demand conditions and service performance indexes in each slice and performs centralized resource allocation, each second-layer wireless resource manager is responsible for monitoring service operating conditions and resource utilization conditions inside each slice in the running process of the network, and meanwhile, resource adjustment among the slices is performed through distributed interfaces so as to meet dynamic changes of the service performance. According to the invention, a centralized and distributed combined two-layer resource allocation method is adopted, available resources are allocated for the slices in a centralized mode so as to reduce the complexity of resource allocation, and meanwhile, distributed resource coordination among the slices reduces the resource management cost.

The production process of health ceramic brick capable of releasing negative ion includes introducing nanometer negative ion powder comprising tourmaline 20-40 wt%, dravite 10-20 wt%, nanometer TiO2 20-40 wt% and composite RE salt 5-12 wt%, making the nanometer negative ion powder combined well with ceramic base and sintering at 1080-1200 deg.c inside roller hearth kiln. The health ceramic brick has stable negative ion releasing function in health level and radiation performance index meeting relevant requirement.

The invention discloses a test bed for testing comprehensive performance of LED modules in the technical field of LED measurement. A double-station mode is provided with two sets of independent automatic loading and unloading machines, a PCB (printed circuit board) detector, an LED module electrical parameter detector, an LED module light intensity detector, an LED module spectrum parameter and chromaticity detector, an LED module defect repairer and a qualified product and unqualified product sorter; and the LED modules of two different specifications can be tested at the same time. Multi-variety online quick test and sorting can be efficiently matched by adopting a rotary sorting mode, combining a computer and a motion control card and controlling independent operation of each tester. The test bed can be adaptive to performance test of the LED modules of multiple specifications, is simple and convenient to operate, has high automation degree, can effectively and comprehensively reflect the comprehensive performance indexes of the tested LED modules, and has actual significance for improving quality control of the LED modules and research on industrialized key test technology of the LED module industry.

A method and apparatus for providing learning capability to processing device, such as a computer game, educational toy, telephone, or television remote control, is provided to achieve one or more objective. One of a plurality of actions (e.g., game actions, educational prompts, listed phone numbers, or listed television channels) to be performed on the processing device is selected. A user input indicative of a user action (e.g., a player action, educational input, called phone number, or watched television channel) is received. An outcome of the selected action and/or user action is determined. An action probability distribution having probability values corresponding to the plurality of actions is then updated based on the determined outcome. The next action will then be selected based on this updated action probability distribution. The foregoing steps can be modified based on a performance index to achieve the objective of the processing device so that it learns.

The invention relates to the dynamic resource scheduling technique in the cloud computing field, and provides a cloud computing dynamic resource scheduling method based on the feedback and a prediction mechanism. The method aims to overcome the defects of the cloud computing resource distribution and scheduling technique in the prior art, and can achieve balance use of various computer resources in a cloud computing environment, obtain satisfactory load balance under small pay expenses and improve comprehensive efficiency of system scheduling. According to the scheme, various performance indexes of virtual machines are monitored in real time in operation processes of the virtual machines, operation circumstances of all the current virtual machines within a next short period of time are predicted according to the monitored various current performance indexes of the virtual machines and a virtual machine state prediction model based on state feedback when a task request comes, and the most adaptive virtual machine is selected by combining a prediction result and a required task type and the required task is distributed. In addition, the invention further discloses a corresponding cloud computing dynamic resource scheduling system applicable to dynamic resource scheduling.

The invention provides a route planning method based on a multi-target glowworm swarm algorithm and belongs to the technical field of route planning. The method includes: modeling a route planning problem, initializing the multi-target glowworm swarm algorithm, updating the glowworm position, determining a non-inferior solution set, updating an external archived file, judging whether a preset maximum iteration number is achieved or not, and determining a Pareto optimal route. The basic glowworm swarm algorithm is improved based on the Pareto dominant conception, and global searching and parallel computing capacities of the glowworm swarm algorithm are well used. Multiple route performance indexes are considered simultaneously during planning, a group of Pareto optimal solution sets can be obtained by planning once, and high flexibility is achieved. Further, the route panning method is different from traditional route planning methods for a single target and route planning methods of using a weighing method to convert multiple targets into the single target, and can better meet practical requirements of route planning.

The invention provides a method for distributed control of centralized clustering formation of an unmanned-plane cluster. The method includes the following steps: 1. determining unmanned-plane-cluster task nature of each task in a task chain and determining a feasible unmanned-plane formation form according to a flying environment; 2. establishing a formation optimization priority set for the unmanned-plane cluster from the feasible formation form and modeling, and determining static or dynamic optimization priority sets of different tasks according to different task targets; 3. according to optimization indexes of the tasks, selecting an optimal task formation or a suboptimum task formation, which complies with performance indexes, from a formation method of the static optimization set or the dynamic optimization set. The method for the distributed control of the centralized clustering formation of the unmanned-plane cluster is capable of efficiently, intelligently and flexibly changing and selecting a coordinative formation of an unmanned-plane cluster and has the advantages of being safe, stable and reliable.

The invention discloses a realizing method of stream media buffer transposition, which comprises the following steps: a request from a client side node is received, and the stream media object required by the client side node is obtained; whether the size of the stream media object required by the client side node is larger than current buffer space is judged, if the judgment result is yes, the transpositional factor of each stream media object stored in the buffer depending on the network delay, duplicate amount, size and popularity of the stream media object stored in the buffer is obtained, and the size of the transpositional factor corresponds to the size of the priority level that the stream media object should be transposed; the stream media object of the larger priority level in the buffer is transposed with the obtained stream media object. Meanwhile, the invention discloses a device and the system for realizing the stream media buffer transposition. The invention has the advantages of considering synthetically the factors affecting the buffer effect, optimizing the main performance indexes of the stream media server, and improving the utilization ratio of the resource.

The invention discloses a performance analysis method for a block chain. The method is applied to a block chain network, the block chain network comprises a plurality of server nodes and is deployed with a test program client, and the performance analysis method for the block chain comprises the steps of: the test program client sending a test request to the block chain network; when detecting that the block chain network responds to the test request, determining a performance index corresponding to the test request, performing statistical analysis on the test process of the performance index, and analyzing the performance of the block chain according to the statistical analysis result. The invention further discloses a performance analysis device for a block chain. The method and the device improve the performance analysis accuracy of the block chain network by deep analysis on a plurality of performance indexes of the block chain network.