280 results about "Cost optimization" patented technology

An network of proxy servers overlaying a wide area network that comprises a plurality of autonomous systems establishes a hierarchial multicast tree overlay network structure for providing streaming live media from media sources to end users. The tree structure is constructed and maintained by peer-to-peer negotiations between proxy servers that identify proxy servers and data paths that optimize utilization of network resources based upon minimizing costs as a function of loadings. The proxy servers maintain information about the status of neighboring proxy servers, and exchange messages to redirect join requests to more suitable proxies, to redistribute portions of their own loads when they are overutilized, and to consolidate loads when they are underutilized.

The present invention includes a method and system for determining the profile of a structure in an integrated circuit from a measured signal, the signal measured off the structure with a metrology device, selecting a best match of the measured signal in a profile data space, the profile data space having data points with a specified extent of non-linearity, and performing a refinement procedure to determine refined profile parameters. One embodiment includes a refinement procedure comprising finding a polyhedron in a function domain of cost functions of the profile library signals and profile parameters and minimizing the total cost function using the weighted average method. Other embodiments include profile parameter refinement procedures using sensitivity analysis, a clustering approach, regression-based methods, localized fine-resolution refinement library method, iterative library refinement method, and other cost optimization or refinement algorithms, procedures, and methods. Refinement of profile parameters may be invoked automatically or invoked based on predetermined criteria such as exceeding an error metric between the measured signal versus the best match profile library.

The present invention provides a fault prediction and condition-based repair method of an urban rail train bogie. An optimum service life distribution model of a framework, a spring device, a connecting device, a wheel set and axle box, a driving mechanism, and a basic brake device of a bogie is determined by adopting a method based on survival analysis; a reliability characteristic function of each subsystem is obtained; then, a failure rate of each subsystem of the bogie is calculated by adopting a neural network model optimized by an evolutionary algorithm; and finally, proportional risk modelling is conducted by taking the failure rate and safe operation days of each subsystem of the bogie as concomitant variables; and on the basis of cost optimization, thresholds and control limits for condition-based repair of a bogie system are obtained.

The present invention concerns a system for selecting and monitoring data plans for telecommunications systems, and methods of determining, learning and estimating usage patterns in-order to predict usage and tie this to cost and the overlaying of plan selection for cost optimization. Further, additional methods are applied to determine anomalous user behaviours and raise security and data leakage related events.

Methods for evaluating drill pattern parameters such as burden, spacing, borehole diameter, etc., at a blast site are disclosed. One method involves accumulating the burden contributed by successive layers of rock and matching the accumulated rock burden to a target value for a borehole having a length related to the average height of the layers. Another method relates to varying drill pattern parameters and characteristics to match blast design constraints, including the substitution of one explosive material for another by the proper balance of materials and/or output energies to the associated rock burden. Analysis of deviations from target rock burdens and corrective measures are disclosed, as well as cost optimization methods. The various methods can be practiced using an appropriately programmed general purpose computer.

Systems and methods are described for supporting routing intelligence for evaluating routing paths based on performance measurements. The routing intelligence may include processes executed in a self-contained device. This device may control one or more edge routers, based on performance data from end users. In other embodiments, the routing intelligence device may be used solely to monitor one or more edge routers, producing reports but not effecting any changes to routing. Routing decisions may be injected to the edge routers via BGP updates. The devices may be stationed at the premises of a multihomed organization, such as an enterprise, ISP, government organization, university, or other organization supporting a sub-network coupled to an internetwork. In other embodiments, the routing intelligence comprises processes executed on a router.

The invention discloses a cost optimization unmanned aerial vehicle base station deployment method based on an improved genetic algorithm, and mainly solves the problem that the unmanned aerial vehicle base station deployment cost is difficult to optimize in the prior art. The realization method comprises the following steps: 1) establishing a ground wireless communication coverage model of the unmanned aerial vehicle base station; 2) calculating the maximum coverage radius and the optimal hovering height of the unmanned aerial vehicle base station in the unmanned aerial vehicle base station ground wireless communication coverage model scene; 3) deploying the unmanned aerial vehicle base stations at the optimal hovering height, enabling the deployment problem to be reduced from three-dimensional dimensionality to a two-dimensional plane, establishing an unmanned aerial vehicle base station deployment optimization model taking unmanned aerial vehicle base station deployment number optimization as a target, and solving the model to obtain an optimal chromosome; 4) converting the optimal chromosome into a corresponding unmanned aerial vehicle base station coordinate set to obtain an optimal unmanned aerial vehicle base station deployment scheme, reducing the complexity of the deployment problem, improving the solution accuracy, and being applicable to communication network deployment planning, temporary communication network construction and disaster area emergency communication.

A surface mapping and generating device which has devices for the process and/or cost optimization, in particular raw material recovery devices, an automatic control of the intensity of a used laser light, devices for carrying out a calibrating procedure by evaluating overlap errors at matching points, devices for archiving especially three-dimensional data of the jaw and/or for modeling the bite position of the upper and the lower jaws, devices for the optimized preparation of at least one dental stump for the production and placement of a dental prosthesis thereon and/or devices for taking into consideration the bite position of the upper and lower jaws. It can be provided that the devices for the process and/or cost optimization are designed to ensure that two half frames showing different positions or views are evaluated, whereby preferably a pulsed laser for exposure purposes is included and/or that an image recording device, in particular a CCD chip, is arranged so as to ensure that lines, taking into account the Scheimpflug angle, are located perpendicular to the direction of travel of a measuring table. Methods according to the present invention use such devices and function correspondingly. In addition, the invention also makes available a patient data archiving system which comprises a chip card and/or decentralized data storage systems especially for dental data.

The present invention relates to a hybrid energy storage system and an energy management method thereof in a micro-grid. The system comprises a lithium iron phosphate energy storage system equipped with a lithium iron phosphate storage battery, a bidirectional energy storage AC/DC, and a super capacitor energy storage system equipped with a super capacitor, and is characterized by comprising a bidirectional energy storage DC/DC of which one side is connected with the super capacitor, and the other side is connected with a DC bus distribution line, wherein the DC bus distribution line is connected with one side of the bidirectional energy storage AC/DC, and the other side of the bidirectional energy storage AC/DC is connected with an AC bus distribution line. An energy management system detects and judges the charge states of the energy storage units of the hybrid energy storage system separately and real-timely, adjusts and controls the energy flow directions and amplitudes of the energy storage units of the hybrid energy storage system separately and real-timely, gives full play to the function that the super capacitor compensates the fluctuation of a power grid rapidly, satisfies the seamless switching and island transient operation requirements, keeps the uninterrupted power supply, enables the power supply reliability to be improved substantially, and realizes the operation benefit and cost optimization of the micro-grid.

A technique is disclosed for optimizing a quality parameter in a process that is not directly measurable online using conventional measurement devices. The technique includes the use of a first inferential model to predict a value for the parameter based upon other process variables. A second inferential model predicts a residual component of the process parameter based off non-controllable residual variables of the process. The inferential model outputs are combined to produce a composite predicted value which may be further adjusted by an actual prediction error determined via comparison with an offline measurement. The adjusted predicted value is provided to a dynamic predictive model which may be adapted to implement control actions to drive or maintain the quality parameter at a target set point. The technique may further consider cost optimization factors and production reliability factors in order to produce a product meeting the target quality set point or range while considering production requirements and minimizing overall costs.

The invention provides a rural electric network layout optimization method based on urban and rural integration, which belongs to the field of rural electric network plan construction. An electric network structure model under the urban and rural integration layout, an economic power supply radius and economic power factor calculation model using the minimum annual cost as an objective function, a voltage grade sequence economic technology index optimization model and the like are built, a layered design and building method of the electric network structure model is systematically and completely provided, and in addition, the electric network annual cost optimization model is given for all voltage grade sequences. The method belongs to the electric network plan design method, which integrates the plan and the design and is applicable to the urban and rural integration.

The invention discloses the technical field of electric power system operation and dispatching, and particularly relates to a method for optimizing operation simulation of a multi-energy combined power generation system. Multiple days or a week is selected as a dispatching period, according to a predicted deviation value of intermittent power source output of wind power, photovoltaic energy and the like, a predicted scene of the output of the wind power and the photovoltaic energy is established; the operation position of a hydroelectric generating set with the output capable of being flexibly adjusted in a loading curve can be firstly determined in the multi-energy combined power generation system, the assembly mode of a thermal power generating set is arranged from an initial time frame of the dispatching period, reasonable load distribution is conducted on each type of set with operation cost optimization serving as a local target so that a load regulation abundant zone for the sets operated at each time frame can be formed, and finally the load regulation abundant zone of the sets at each time frame is continuously selected and updated, and therefore combination of the sets in the whole dispatching period is finally achieved and allocation of load between the sets is achieved. The method guarantees balance of system power and stable operation.

This invention relates generally to a system and method to provide mobile subscription service management for medium and large corporations, allowing continuing backend total cost optimization. It determines a minutes pool collectively shared by a group of users, with an equitable cost allocation scheme which assures individual cost saving relative to the least cost stand-alone plan. The system provides real-time active mobile devices usage alert management, expense monitoring, report generation, individual internal cost center based billing and hierarchical data access through a web-based portal. The system is built on a Uniform Database, pulling information from Monthly Statements, Call Detail Records (CDRs), invoices, plan features and data usage summaries across diverse vendor platforms. The system covers all mobile communication devices, including but not limited to all smart phones (Blackberries, Androids, Windows and i-Phones herein), encompassing various protocols (CDMA, GSM or dual mode) and transmission media (WiFi and cellular network).

In accordance with one aspect of the present exemplary embodiments, a method for scheduling at least one print job for a plurality of printers of a given type is provided. The method includes determining a job length for the at least one print job. The method further includes scheduling a sequence of printing by the plurality of printers based the job length such that a subset of the available plurality of printers is cycled up, and printing the at least one print job with the subset of available printers when the job length is less than at least one predeterminable threshold.

The invention relates to a data intensive computing cost optimization method based on a MapReduce mechanism. In the state that the popularity level and access situations of data change, execution time and execution cost for a MapReduce task are optimized. The method comprises the steps that a cost computing model based on the MapReduce mechanism in a cloud computing environment is provided; on the basis of the model, the number of copies of Map subtasks is dynamically changed according to the popularity level of the data in a load; as for hot data which have the large number of access times and are accessed frequently, file contention and bandwidth resource competition of networks are reduced by increasing the number of copies of the hot data, and therefore the computing cost and the computing time for the hot data are optimal; as for cold data having the small number of access times and are accessed seldom, by decreasing the number of copies of the cold data, creation and storage cost for the copies is reduced, and therefore the computing cost and the computing time for the cold data are optimal. By means of the data intensive computing cost optimization method, cloud computing users can effectively reduce resource using cost, and reliability and completeness of operation computed results can be guaranteed more efficiently.

Systems and methods are described for supporting routing intelligence for evaluating routing paths based on performance measurements. The routing intelligence may include processes executed in a self-contained device. This device may control one or more edge routers, based on performance data from end users. In other embodiments, the routing intelligence device may be used solely to monitor one or more edge routers, producing reports but not effecting any changes to routing. Routing decisions may be injected to the edge routers via BGP updates. The devices may be stationed at the premises of a multihomed organization, such as an enterprise, ISP, government organization, university, or other organization supporting a sub-network coupled to an internetwork. In other embodiments, the routing intelligence comprises processes executed on a router.

Apparatus and method use a Markov decision process (MDP) to reduce the cost of variations in electric power usage. The user notifies a power company of a predicted value for a period. The period is divided into subsections. For each subsection, on the basis of a MDP including a state that depends on an electric power usage amount error, charge amount, and set target, the amount of charging and discharging of a storage battery as an action at any given time is optimally decided depending on the electric power usage amount error, charge amount, time, and set target at that time. A predetermined time in a subsection is a target setting time, at which a future target is further set as the action. The action includes deciding the charging and discharging amount in that subsection and deciding a future target in a subsection whose target should be set.

The invention discloses an NFV service chain mapping method for cost and QoS, which belongs to the technical field of networks. The method comprises the following steps: establishing a service chain mapping model oriented to service quality assurance and cost optimization, and setting a comprehensive optimization target of the service chain mapping model by the service chain mapping model by taking a service quality demand and a resource demand as limiting conditions; solving the service chain mapping model by using a greedy algorithm GA + LCB. According to the invention, on the premise of guaranteeing the basic service quality requirement and resource requirement of the user for the service, the service chain can reasonably and effectively schedule and allocate limited network resources,the deployment overhead of an operator is reduced, the request receiving rate is improved, and higher deployment income is obtained.

The invention relates to a patterned transparent back plate material which consists of a pattern layer, an adhesive layer, a substrate layer and a weather resistant layer in sequence, wherein the pattern layer has good reflection properties in visible light-near infrared areas of 400-1200nm and faces to the side of a battery piece when being used. Due to integration of good light permeability andgood reflection, a transparent back plate made of the patterned transparent back plate material is excellent in comprehensive property such as long-term weather resistance, adhesiveness and insulation. The patterned transparent back plate material is novel in design, simple in preparation process, easy to operate and excellent in product performance, an effective power gain effect is provided fordouble-side power generation crystalline silicon photovoltaic modules, a base is made for cost optimization of a crystalline silicon photovoltaic back plate material, and meanwhile long-term outdoor use reliability of the photovoltaic modules is powerfully ensured.

Two computers of a standard size, such as 1U, are mounted in a single standard size space. This arrangement almost doubles the space utilization of a rack and thereby halves the cost of hosting a dynamic computing environment. Also, a plurality of chassis are mounted on a rack where each chassis can hold more than one single-board computers. This arrangement enables provisioning of computing environments computing power in increments other than multiples of 1U.

The invention discloses a logistics dispensing center addressing method based on simulation software. The method comprises the following steps: selecting a candidate place of a dispensing center; determining a capacity upper limit, a fixed investment and a flow rate; determining a transportation rate; constructing a logistics cost model and a shortest-distance model; constructing a simulation model; operating the simulation model; optimizing a minimum logistics cost; according to relation relations among the address of a primary election dispensing center, multiple demand points needing dispensing of the primary selection dispensing center and multiple resource points supplying goods to the primary selection dispensing center, constructing the simulation model; completing operation of the simulation model through connecting rules, working modes, system functions and distribution functions which are provided by the simulation software; and the simulation software, according to the constructed shortest-distance model, optimizing a shortest distance, and obtaining an optimal dispensing center address. According to the invention, optimal configuration of a system is obtained by use of a self-carried optimization algorithm module OPTIMIZER, and finally, a logistic dispensing center satisfying conditions of the minimum logistics cost and the shortest distance in a dispensing process is obtained.

The invention discloses an integral supply chain management system in the steel industry and an implementing method. The system comprises a client side, a data processing platform, a data server and a communication network. The client side is an operating platform of the system, the data processing platform comprises a commercial management module, a logistic management module and a financial management module, and the data server is used to store and inquire data. A user can assist clients through the data processing platform to formulate an accurate and accessible demand plan as well as demand prediction of the clients, so as to guide production management of enterprises, formulate reasonable production plans and arrange production scientifically. Meanwhile, client information is immediately stored to the data server of the integral supply chain management system. In addition, from the aspect of managing the supply chain by the user, the system further provide multi-azimuth information support for purchasing management, logistic transportation, financial settlement, cost optimization and the like for the user. Both parts are interacted with each other immediately, so that common benefit of the enterprisers and the clients is realized.

A telecommunications system includes a personal computer having a unified communication system including a presence application and a cellular telephone network identifier operably coupled to the unified communication system and configured to identify a cellular telephone network of multiple parties; and a cellular network gateway appliance operably coupled to the personal computer and configured to allow the unified communication system to make a telephone call via an associated cellular network and identified by the cellular telephone network identifier.

A computer-implemented method for determining a cleanup pass profile for a machine implement is provided. The method may include identifying a pass target extending from a first end to a second end along a work surface, determining a plurality of primitives of a cleanup pass profile extending between the first end and the second end where each primitive may be defined based at least partially on volume constraints, determining a cost value associated with moving the machine implement along the cleanup pass profile based on an optimization cost function, and adjusting the volume constraints associated with one or more of the primitives to minimize the cost value.

The invention relates to an optimal power and capacity selection method of a mobile battery energy storage DC-based deicing system. The method comprises the following steps: step S1: providing a mobile battery energy storage DC-based deicing system, wherein the DC-based deicing system comprises a battery energy storage system, a bidirectional converter, a DC/DC converter, a background monitor and switch combination; step S2, carrying out statistics on the distribution of ice regions of a power grid; step S3, calculating the current value of the DC-based deicing system in the DC-based deicing process; and step S4, calculating deicing powers, deicing capacities and optimization functions of the DC-based deicing system under three deicing modes of "1-1, 1-2", "1-1, 1-1", "1-2, 1-2, 1-2". Starting from the angle of system cost, according to the conditions of ice regions, the state grid guideline and the actual situation of lines of mountainous areas, the method can be used for putting forwards a cost optimization function by calculating the powers and capacities of the DC-based deicing system under three deicing modes, thereby providing a basis for selection of power and capacity of the mobile battery energy storage DC-based deicing system.

The invention provides a power generation cost optimization method for an iron and steel enterprise, and belongs to the technical field of comprehensive power saving in iron and steel enterprises. The power generation cost optimization method comprises the following steps: a dispatching cycle T which needs power generation cost optimization is determined, and power generation cost optimization parameters of a set are acquired; a network cross section used for planning a current power generation schedule is acquired; fuel cost of the generator set under the condition of coal gas blending combustion in the cycle is determined; according to the energy consumption of the set of the iron and steel enterprise, external electricity purchasing cost and an external power transmission income physical truth, an optimized dispatching model which aims for the lowest power generation cost of a whole system is established; results of self-generating set output, externally purchased electricity, externally transmitted electric quantity and the like of the iron and steel enterprise are obtained according to an optimization solution. The power generation cost optimization method for the iron and steel enterprise has the advantages of being capable of meeting requirements for production loads, generator set output, line transmission capacity and the like, guaranteeing safe and reliable operation of a grid of the iron and steel enterprise, further optimizing and adjusting self-generating electricity output and a proportional relation between self-generated electricity and externally purchased electricity in combination with a load prediction curve and a production and repair schedule, and enabling the generation cost of the iron and steel enterprise to be the lowest.