288 results about "Vector optimization" patented technology

A technique for optimizing the number of terms in a profile used for information extraction. This optimization is performed by estimating the number of terms which will substantively affect the information extraction process. That is, the technique estimates the point in a term weight curve where that curve becomes flat. A term generally is important and remains part of the profile as long as its weight and the weight of the next term may be differentiated. When terms' weights are not differentiable, then they are not significant and may be cut off. Reducing the number of terms used in a profile increases the efficiency and effectiveness of the information retrieval process.

A method for strategy independent optimization of a multi-objective function of a portfolio containing at least one investment is disclosed. The method involves the use of genetic algorithms to arrive at function optimization. A suite of strategies is provided enabling the user to select a strategy and optimize a function. Real world data is drawn from exchanges and is utilized for replication. The invention also discloses a novel combination of apparatus for carrying out the method of invention, typically, using parallel processing.

A network system providing highly reliable transmission quality for delay-sensitive applications with online learning and cross-layer optimization is disclosed. Each protocol layer is deployed to select its own optimization strategies, and cooperates with other layers to maximize the overall utility. This framework adheres to defined layered network architecture, allows layers to determine their own protocol parameters, and exchange only limited information with other layers. The network system considers heterogeneous and dynamically changing characteristics of delay-sensitive applications and the underlying time-varying network conditions, to perform cross-layer optimization. Data units (DUs), both independently decodable DUs and interdependent DUs, are considered. The optimization considers how the cross-layer strategies selected for one DU will impact its neighboring DUs and the DUs that depend on it. While attributes of future DU and network conditions may be unknown in real-time applications, the impact of current cross-layer actions on future DUs can be characterized by a state-value function in the Markov decision process (MDP) framework. Based on the dynamic programming solution to the MDP, the network system utilizes a low-complexity cross-layer optimization algorithm using online learning for each DU transmission.

The present invention relates to lithographic apparatuses and processes, and more particularly to tools for optimizing illumination sources and masks for use in lithographic apparatuses and processes. According to certain aspects, the present invention significantly speeds up the convergence of the optimization by allowing direct computation of gradient of the cost function. According to other aspects, the present invention allows for simultaneous optimization of both source and mask, thereby significantly speeding the overall convergence. According to still further aspects, the present invention allows for free-form optimization, without the constraints required by conventional optimization techniques.

A system and method are provided by which items in an inventory can be arranged in a storage space based upon one or more factors such as item dimensions, weight, type, sorting codes, stackability, and the like. In some cases, the system and method generate multiple inventory arrangements from which a desired inventory arrangement can be selected, such as a highly efficient inventory arrangement.

A method and structure of clock optimization including creating an initial placement of clock feeding circuits according to clock signal requirements; identifying clusters of the clock feeding circuits, wherein each cluster includes a distinct clock signal supply device to which each clock feeding circuit within the cluster is connected; changing pin connections between the clock feeding circuits and clock signal supply devices to switch selected ones of the clock feeding circuits to different clusters to reduce lengths of wires between the clock feeding circuits and the clock signal supply devices within each cluster; and adjusting positions of the clock feeding circuits within design constraints to further reduce the lengths of the wires.

A stereo audio signal is processed to determine primary and ambient components by transforming the signal into vectors corresponding to subband signals, and decomposing the left and right channel vectors into ambient and primary components by matrix and vector operations. Principal component analysis is used to determine a primary component unit vector, and ambience components are determined according to a correlation-based cross-fade or an orthogonal basis derivation.

The invention discloses a load task migration algorithm for power optimization in the marginal computing environment. The algorithm includes: monitoring in a marginal computing cluster to acquire CPU (central processing unit) utilization of nodes and temperature of the nodes; comparing the CPU utilization of the nodes and the temperature with preset thresholds respectively and determining all superload nodes; performing random arrangement on all the superload nodes to generate a superload node queue and generating a migration target queue according to migration targets; making a statistic of to-be-migrated tasks according to the minimum-number migration task principle and generating a to-be-migrated task queue; selecting the nodes with the shortest migration time in the new migration task queue and taking the nodes as the migration target nodes of the to-be-migrated tasks; generating a migration list according to corresponding relation of the to-be-migrated tasks and the selected target nodes to generate a task migration scheme. With the algorithm, violation and performance reduction in a service level agreement of the marginal computing system can be reduced, and task execution is enabled to be more equilibrium and efficient by equalizing power consumption of the marginal computing system.

A network optimization adjustment method and system using district cluster in communication network, comprises: (1) basis data processing step: providing basis data support for cluster partitioning step, manual adjustment step, district cluster performance alarming step; (2) cluster partitioning step, as the core processing step of district cluster network optimization system: comprising district cluster partitioning principle and partitioning algorithm definition; obtaining district configuration data by interface connected with the basis data processing step and preprocessed district telephone traffic and switch data; then performing district cluster partitioning algorithm; (3) performance alarming step. The invention is mainly used for network optimization of communication network.

Methods for performing packet classification. In one embodiment, packets are classified using a rule bit vector optimization scheme, wherein original rule bit vectors in recursive flow classification (RFC) chunks are optimized by removing useless bits that have no effect on the ultimate rule identified by an associated RFC lookup process. The unique optimized rule bit vectors for associated chunks are then cross-producted to produce an optimized downstream chunk. In another embodiment, a rule database splitting scheme is employed. Under this technique, split criteria is defined to split a rule database, such as splitting based on a particular field value or range. A respective set of downstream chunks is then generated for each partition, beginning with the chunks in a split phase. The applicable rule bit vectors for the chunks associated with a common group and partition are identified, and then unique applicable rule bit vectors for those chunks are cross-producted to produce downstream chunks.

Embodiments of the invention propose volt / VAR optimization that may be time synchronized and automated based on actions invoked at a control system utilizing a smart grid solution that incorporates metering end points which are capable of reporting to a utility the information that is needed by the utility or to another system for making real time decisions on events that may occur at the distribution level. Embodiments of the invention incorporate large numbers of end points (e.g., smart meters) which a utility can use to determine how any event or events it may invoke at the grid level affect its compliance at the end user level.

The embodiment of the present invention provides a network optimization server, a mobile device of realizing network optimization and a system of realizing network optimization. The network optimization server comprises a data acquisition unit used for obtaining and storing the business perception data, the network performance data and the business usage data; a grid business perception calculating unit for calculating the comprehensive business perception scores of the different grids based on the business perception data and according to a corresponding relation of a base station and the grids; a grid coverage quality calculating unit for calculating the comprehensive quality index scores of the different grids according to the corresponding relation of the base station and the grids; a grid value index calculating unit for calculating the comprehensive value indexes of the different grids according to the corresponding relation of the base station and the grids; a network coverage automatic assessment and diagnosis unit for determining a network resource investment comprehensive evaluation score of the grid network coverage optimization by the comprehensive business perception scores, the comprehensive quality index scores and the comprehensive value indexes of the grids, and by utilizing an expert system rule engine, and matching a corresponding optimization diagnosis suggestion. According to the present invention, the optimization diagnosis suggestion is formed automatically.

The invention relates to a cross-layer-resource-optimization-based space-sky information network information transmission method and a cross-layer-resource-optimization-based space-sky information network information transmission system. a route meeting service needs is calculated according to the states of a network and a node of a bottom layer for different service needs of an application layer by utilizing a cross-layer designing concept, the wasting of network resources is reduced in ways of realizing the balanced allocation of network bandwidth resources, avoiding congestion and reducing network control information, and the optimized utilization of the network resources is realized at the same time of ensuring the accurate transmission of data.

Described is a distributed network optimization system implementing distributed particle swarm optimization, which allows multiple nodes to cooperate in searching efficiently for a set of parameter values that optimizes overall network performance. The system comprises a multi-dimensional network parameter space with software agents configured to operate as a cooperative swarm to locate an objective function optima. The software agents are individually distributed across multiple nodes in the network, and each node processes a portion of each software agent to obtain information regarding the local performance of the software agent. A global measure of network performance is then computed based on sharing of local performance information between nodes, which each node uses to adjust its parameters accordingly. In this manner, the global utility of the network can be optimized using local processing only. Also described is a method of utilizing the system.

The invention provides a Spring-based MVC mode optimization system. With popularization of Web application, a Web development technology gradually forms a series of universal development modes, so that the repeated working amount of Web application developers is greatly decreased, and application developing efficiency is improved. In the modes, the MVC modes based on Mode, View, Controller layered structures have the advantages of low coupling, high transportability, layer-upon-layer separation and the like and gradually serve as main modes for Web application development. But, the MVC modes have the shortcomings that firstly, the MVC modes excessively depend on ServletAPI, the unit testing difficulty is greatly increased; secondly, Servlet cache mechanism is needed to be invoked for Controller catching processing in MVC, and flexibility is insufficient. The Spring-based MVC mode optimization system is used for overcoming the two shortcomings.

Observation and analysis based optimization of software code is disclosed. An expected value is chosen for a dynamic attribute that cannot be determined, prior to execution of the associated software code, to be guaranteed to have that expected value at runtime. An optimized version of the software code is generated, including one or more optimizations based on an assumption that the dynamic attribute will have the expected value. Non-exhaustive examples of a dynamic attribute include a variable type; a location in memory; a location in which a global object, property, or variable is stored; the contents of a global function or method; and a value of a global property or variable. A check is performed during execution of the optimized version of the software code, prior to executing the portion that has been optimized based on the assumption, to verify that the dynamic attribute has the expected value. In the event that it is determined at runtime that the dynamic attribute does not have the expected value, execution reverts to backup code that is not based on the assumption that dynamic attribute will have the expected value.

The invention relates to a coal-fired boiler system hybrid modeling method. In the method, a real-time data driving method is firstly used for establishing a local prediction model; concretely, the collected real-time process running data is taken as a sample set of data driving; based on the set, a local controlled autoregressive moving average model in the form of discrete difference equation based on a least square method is established; secondly, a local error intelligent prediction model is established by an error data driving method; concretely, based on the sample set of the error data driving, a supporting vector optimization method is adopted to establish the local error intelligent prediction model. The local error intelligent prediction model is established by that: the error performance index is given according to process requirements and the judging is then carried out. The modeling method provided by the invention can effectively reduce the error between the model and practical process parameters, compensates the shortages of traditional controllers, ensures that the control device runs under the best state, leads the process parameters of production to be strictly controlled, and effectively improves the precision of the models.

The invention discloses a regional integrated energy system planning optimization method based on double-layer optimization, and the method comprises the following steps: S1, selecting a plurality ofgroups of capacity schemes to carry out the capacity optimization of a regional integrated energy system, and finding out a plurality of groups of capacity optimization configuration schemes of the regional integrated energy system; S2, performing optimization operation on the plurality of groups of capacity optimization configuration schemes planned in the step S1 to obtain a plurality of groupsof operation output results of the regional integrated energy system, and then solving an optimization operation problem of the system by utilizing mixed integer linear programming (MILP); S3, carrying out capacity selection, and comparing multiple groups of operation output results in the step S2 with load requirements to obtain the load supply reliability of each group of planning schemes; S4, feeding the obtained reliability back to the capacity optimization planning in the step S1, reselecting and optimizing the capacity optimization of the regional integrated energy system, and repeatingthe steps S1 to S1; and S3, selecting a capacity planning scheme with the strongest power supply reliability.

The invention discloses a grid assist-based network flow branching method comprising the following steps of: collecting the grid data, drawing the grid effect according to the grid data, analyzing the reason of flow difference according to the grid data and the grid effect, and dealing with the flow difference. In the method provided by the invention, web users using a TD (Time Division) terminal and a WLAN (Wireless Local Area Network) terminal in a 2G (The 2nd Generation Telecommunication) network are accurately positioned, and the behaviors of the web users are analyzed for judging the needs of the web users for network bandwidth, in combination with the accurate position information and the user behaviors, and the web users are guided to use the TD network and the WLAN network as far as possible to surf the Internet by market-based means and technological means, thus, the utilization rate of the 2G network is reduced. The floor-based information, such as the hot spot region, the users and the user group, is found out by the grid-based G / T (GSM / TD) dual-network flow branching method, and provided for a market department to carry out flow branching; and short boards of network construction and network optimization are found out by the grid-based G / T dual-network flow branching method.

A method for handling communication data involving identifying available resources for applying compression tasks and estimating a throughput reduction value to be achieved by applying each of a plurality of different compression tasks to a plurality of media items. A cost of applying the plurality of different compression tasks to the plurality of media items is estimated. The method further includes finding an optimization solution that maximizes the throughput reduction value over possible pairs of the compression tasks and the media items, while keeping the cost of the tasks of the solution within the identified available resources and providing instructions to apply compression tasks according to the optimization solution.

The invention discloses an aero-engine rotor stack-assembling method and device and belongs to the technical field of mechanical assembly. The method comprises the steps of determining a rotary standard based on an air floatation rotary shaft system, determining angle location of a rotary table through an optical-electricity encoder, extracting the radial error of a rotor radial assembly surface and the oblique error of a rotor axial assembly surface through a four-measuring-head measurement device to obtain the influence weight of a rotor on the coaxiality of assembled rotors, measuring all the rotors needed by assembly to obtain the influence weight of each rotor on the coaxiality of the assembled rotors, and conducting vector optimization on the weight of each rotor to obtain the assembly angle of each rotor. The method and device can effectively solve the problem that coaxiality of aero-engine rotors is low after assembly and has the advantages that coaxiality of the rotors is high after assembly, vibration is reduced, installation is easy to achieve, flexibility is high, and the performance of an engine is improved.

A method of managing a cell library regarding power optimization is disclosed. The method generally includes the steps of (A) reading a plurality of first modules within a first region of a circuit design stored in a design file, (B) calculating a first merit value indicating a relative sensitivity of the first region to a power consumption, the first merit value having a range from a static power dominated value to a dynamic power dominated value and (C) creating a constraint file configured to limit a design tool to a first subset of a plurality of replacement modules based on the first merit value such that the design tool automatically optimizes the power consumption of the first region by replacing at least one of the first modules with at least one of the replacement modules within the first subset, the replacement modules residing in a library file.

A method and system for optimal design of a water distribution network is provided. Three levels of optimization are available as options for selection by the user and these include least cost optimization, maximum benefit optimization and cost-benefit tradeoff optimization. The optimization models, in accordance with the present invention, include solutions generated by a competent genetic algorithm that can take into account multiple objective functions. Pareto-optimal solutions are produced for the whole range of a budget for the water distribution system. Tradeoff solutions allow engineers to apply engineering judgement to choose the true optimal solution under the specific application being considered.

The invention discloses a spatial arrangement method of a pipe network pipe explosion monitoring network. The spatial arrangement method comprises the steps that basic data collection and analysis are conducted, specifically, a plurality of pressure and flow monitoring devices are arranged in a pipe network, and the fluctuation degree of the pressure and the flow in the pipe network is analyzed through data extraction; pipe explosion analysis is conducted, specifically, a hydraulic model is built, the impacting degree of pipe explosion on the pipe network is analyzed, and whether pipe explosion impacting exceeds the normal fluctuation amplitude of the pipe network is judged; and monitoring network optimization is conducted, specifically, the explosive leakage quantity is monitored as much as possible to build the monitoring network optimization function to conduct spatial optimization, the number of monitoring points is gradually increased to enable the pipe explosion monitoring coverage rate to be increased by the amount less than a certain amount and then stop. According to the spatial arrangement method of the pipe network pipe explosion monitoring network, the complete arrangement method of the pipe explosion monitoring network is built, through analysis of natural fluctuation of a pipe network, it is ensured that with pipe explosion impacting being captured by the monitoring network as the goal, spatial arrangement and number control of the monitoring network are reasonably conducted, and pipe network pipe explosion emergency early warning can be economically, reasonably and efficiently provided.

The invention discloses an optimized clutch control method based on a wet clutch, belonging to the technical field of automobile transmissions. The optimized clutch control method comprises the steps of: carrying out meshing control optimization and release control optimization for a plurality times to obtain upper limit pressure values to be optimized and lower limit pressure values to be optimized, carrying out summation respectively, averaging to obtain a final optimized upper limit pressure value and a final optimized lower limit pressure value, and storing in an EEPROM (Electrically Erasable Programmable Read-Only Memory) space of a transmission control unit (TCU) to realize optimized clutch control. In the invention, dynamic factors such as clutch abrasion, temperature influences and the like are comprehensively considered so as to ensure that the control of the critical point of the clutch on beginning to transmit the torque of an engine is always maintained in an optimal state.

The invention provides a protocol comparison method based on vector operation and used for network protocol identification. The method comprises: extracting a feature vector of a data packet with a known protocol and constructing a protocol feature vector database; extracting the feature vector of an unknown protocol data flow to be determined; computing the similarity between the feature vector of the unknown protocol data flow and each feature vector in the protocol feature vector database by using a distance algorithm, and selecting a protocol with the largest similarity as a comparison result; setting a threshold to determine the comparison result in order that the comparison result is more correct, and if an unknown protocol is a new protocol, adding a corresponding feature vector to the protocol feature vector database. The protocol comparison method has a unified comparison processing flow and good expansibility, and may automatically identify a new protocol type and identify the protocols easily, rapidly, and accurately.