1379 results about "System optimization" patented technology

This invention relates to a method for optimizing the cost of interaction with a caller utilizing an automated interactive voice response system. A plurality of interactions between a caller and an automated interactive voice response system are analyzed. Discrete attributes of the interactions between the callers and the automated interactive voice response system are analyzed, and a set of logical statements relative to the discrete attributes is formulated. The set of logical statements is applied to the interaction with the caller, from which an action is determined.

A method and system optimizes the transmission of a downlink reference signal (DLRS) in a wireless communication system that uses orthogonal division multiple access (OFDMA) for the downlink. Each Node-B (base station) is capable of transmitting the DLRS reference symbols in different subframes of the OFDM radio frame and changing both the number and location of the subframes in response to changing network conditions. The network conditions include the number of terminals being served by the Node-B and multiple access interference (MAI) from adjacent Node-Bs.

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.

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.

The technology described herein provides methods and systems for powertrain optimization and improved fuel economy including multiple displacement engine modeling and control optimization, automotive powertrain matching for fuel economy, cycle-based automotive shift and lock-up scheduling for fuel economy, and engine performance requirements based on vehicle attributes and drive cycle characteristics. Also provided is a reverse tractive road load demand simulation algorithm used to propagate a reverse tractive road load demand and a corresponding component torque and speed, derived from a vehicle speed trace, in a reverse direction through a powertrain system. Also provided is a dynamic optimization algorithm. The dynamic programming algorithm is applied to a matrix of fuel flow rates to find the optimal control path that maximizes the powertrain efficiency over a cycle.

To maintain the integrity and operability of enterprise database systems, queries intended for a particular database engine are intercepted, preferably by a separate processing system, prior to being acted upon by the database engine. The query is evaluated to determine its projected impact on available database system resources. The variables evaluated include user rights, administrator-imposed limits to searches, the amount of presently-available system resources, the cost of query and the like. If the query's potential impact does not surpass a predetermined threshold, it is submitted to the search engine. If the query is too resource-intensive or costly, the query may be (i) optimized by a query-optimization system, (ii) stored until more system resources are available, or (iii) rejected.

The invention provides a system for optimization of three-dimensional audio listening having a media player and a multiplicity of speakers disposed within a listening space, the system including a portable sensor having a multiplicity of transducers strategically arranged about the sensor for receiving test signals from the speakers and for transmitting the signals to a processor connectable in the system for receiving multi-channel audio signals from the media player and for transmitting the multi-channel audio signals to the multiplicity of speakers, the processor including (a) means for initiating transmission of test signals to each of the speakers and for receiving the test signals from the speakers to be processed for determining the location of each of the speakers relative to a listening place within the space determined by the placement of the sensor; (b) means for manipulating each sound track of the multi-channel sound signals with respect to intensity, phase and/or equalization according to the relative location of each speaker in order to create virtual sound sources in desired positions, and (c) means for communicating between the sensor and the processor. The invention further provides a method for the optimization of three-dimensional audio listening using the above-described system.

Methods and systems for optimizing measurement system parameter settings of an x-ray based metrology system are presented. X-ray based metrology systems employing an optimized set of measurement system parameters are used to measure structural, material, and process characteristics associated with different semiconductor fabrication processes with greater precision and accuracy. In one aspect, a set of values of one or more machine parameters that specify a measurement scenario is refined based at least in part on a sensitivity of measurement data to a previous set of values of the one or more machine parameters. The refinement of the values of the machine parameters is performed to maximize precision, maximize accuracy, minimize correlation between parameters of interest, or any combination thereof. Refinement of the machine parameter values that specify a measurement scenario can be used to optimize the measurement recipe to reduce measurement time and increase measurement precision and accuracy.

A system and method for managing an electrical distribution system in a facility is disclosed. In one aspect, the method may include receiving at a computer system from a monitoring system data related to actual energy use of components of the electrical distribution system, receiving at the computer system a request for a modification to the electrical distribution system, using the computer system, providing a revised electrical distribution system design based on the request and the data related to actual energy use using a system optimization function for the electrical distribution system, modifying the electrical distribution system in accordance with the revised electrical distribution system design to provide a modified electrical distribution system in the facility, and receiving at the computer system from the monitoring system data related to actual energy use of components of the modified electrical distribution system.

Embodiments of the present invention include control methods employed in multiphase distributed energy storage systems that are located behind utility meters typically located at, but not limited to, medium and large commercial and industrial locations. Some embodiments of the invention use networked multiphase distributed energy storage systems located at an electric load location or installed at interconnection points along the electric power distribution grid to provide a means for balancing the load created from an electric charging station, which are adapted to transfer power between one or more electric vehicles and the electric power grid.

The method and system of merges user-supplied electronic content with relevant ads based upon relevancy factors discerned form the ads and the content. Further, profiles and session histories of user-visitors are monitored and ad relevancy factors discerned form the profiles and session histories are employed to obtain user-relevant ads. The content relevant ads and user relevant ads are inserted into a preformed web page in addition to the user-supplied content. A revenue splitting module shares the ad referral or sales revenue from the click throughs to advertiser designated web sites. The relevancy factors relate to one or more of the supplied content, the user who uploaded the content, the user profile (previously input by the user), current session history, past session history, the user-group profiles and any user referral source. A comparator matches relevancy factors and ads. Ad selection by category, hierarchical or orthogonal match and high pay referral fees.

The invention discloses a microgrid energy management system capable of realizing load management. The energy management system comprises a man-machine interaction module, a prediction module, a system analysis module, a dispatching and control module, and a system management module. The system performs collection and monitoring on information of the output power of a distributed power generation unit (including a wind turbine generator, a photovoltaic array and a diesel engine set), the charging-discharging states of a storage battery, the load power, the electric energy quality information of unit nodes, and the like, then carries out data analysis and processing under the condition of satisfying electrical characteristic constraint conditions of operating conditions and physical equipment, formulates a corresponding optimal control strategy according to the current microgrid operating condition and external application requests, coordinates and manages the operations of the distributed power supply, the load and other modules in the microgrid system, optimizes the energy flow and utilization of the microgrid system, outputs by using renewable resources, supplies electric energy capable of satisfying the required quality to user load at the lowest operating cost, and realizes the system optimization and dispatching.

The invention discloses an optimizing method of an independent microgrid system which comprises diesel generators, a wind driven generator, a photovoltaic array and an energy storage battery. The optimizing method specifically comprises the steps of: considering a coordination control strategy among a combined starting mode of multiple diesel generators, the energy storage battery and the diesel generators on an optimizing plan designing model by an independent microgrid system-based multi-target optimizing design model to ensure that the utilization rate of renewable energy resources in the independent microgrid system is higher and the independent microgrid system is more economic and more environment-friendly in operation; aiming at the stability of the optimizing plant designing model of the system, considering the standby capacity of the stability demand of the independent microgrid system; and carrying out multi-target problem solving by adopting an NSGA-II (Nondominated Sorting Genetic Algorithm II)-based multi-target genetic algorithm on the basis of a solving algorithm of the optimizing plant design model so as to realize multi-target optimization of economy, reliability and environment friendliness of the independent microgrid system.

The invention belongs to the technical field of energy management of distributed generation energy supply systems of electric power systems. The control method comprises the following steps: before running a combined system on every workday, extracting history cooling load data and power load data of a terminal user from a historical data base and obtaining the delay variation curve of the coolingload and the power load of the terminal user during the whole workday by lone-term load predicting; according to load predicting results, working out the optimal generated output plan of the combinedsystem by adopting optimization control mathematical model; during the running of the combined system, carrying out optimization control calculation again by utilizing the terminal user real-time cooling and power load need obtained from the distributed control system, and modifying the generating capacity and the refrigerating capacity of the combined system. The invention utilizes a distributedmonitoring system to monitor the actual cooling and power load need of the terminal user and can modify the load forecasting result in real time and adjusting the respective controlled variable of the combined system.

The invention discloses a system optimization method and device of ship operation energy efficiency. The method comprises the steps of data acquisition, mathematical model establishment, analysis and calculation, output and execution; namely, acquiring speed over water and speed over ground of the ship, real-time rotating speed and instant oil consumption of ship main engine; when the ship is in much deeper water, establishing a mathematical model between the real-time rotating speed of the ship main engine and the ship speed over water and a mathematical model between the real-time rotating speed of the ship main engine and the instant oil consumption of the ship main engine; analyzing and calculating the mathematical models under different water flow velocities and different main engine rotating speeds to obtain the ship kilometer oil consumption valves of the ship corresponding to different conditions; displaying the ship kilometer oil consumption value and the corresponding main engine rotating speed to guide the operation. The method also includes a ship technical state judging and navigation operating optimizing method. The device comprises a central processer and a memory thereof, a data acquisition equipment, man-machine conversation equipment, output equipment, a power supply unit and the like.

The invention relates to a method for realizing optimization of a data source extensive makeup language (XML) query system based on sub-queries. The method comprises the following steps: receiving corresponding XML query input information; carrying out morphological analysis and syntactic analysis, and verifying the correctness and the validity; if the analysis is successful and the verification is passed, generating an XML analytical syntactic tree; translating the XML analytical syntactic tree, and converting the XML query input information into intermediate logical representation; carrying out rewriting treatment, and generating a target query expression; and calling supported querying and computing engines for querying and computing, and acquiring output query results. By adopting the method for realizing the optimization of the data source XML query system based on the sub-queries, the query rewriting can be used for converting a procedural query into a descriptive query, the sub-queries are optimized, and certain specific sub-queries are rewritten into equivalent attended operation of a plurality of tables by the combination of the sub-queries, thus the levels of query sentences are reduced as much as possible, the treatment of planning optimization can be carried out conveniently, and the method has stable and reliable working performance and wider application range.

The invention discloses a construction optimizing and operating method of an automatic fixed-point picking-up system of a logistics express. A system optimizing scheme containing a picking-up machine layout, a customer demand point attribution division and an express delivery line is generated according to the geographical position, demand amount and relevant logistics cost of a demand point of city express customers. When the system operates, a delivery center classifies expresses according to an automatic picking-up machine service range of the delivery center and the expresses are delivered by delivery workers according to an optimized delivery line scheme; and meanwhile, picking-up information is sent to the customers. After the customers pick up the expresses, the information is fed back to the delivery center by a picking-up machine so as to finish the whole express delivery task; otherwise, the customers are manually called to pick up the expresses; and if the customers cannot be contacted, the expresses are sent back to sending places to finish the delivery task. By virtue of the operation of the system, the abutting problem of time and space of the delivery workers and picking-up persons can be effectively solved in the express delivery process, so that the express delivery cost is reduced, the whole efficiency is improved, and the low carbonization and greening of the logistics express are realized.

The invention discloses a recommendation system optimization method with information of a user and an item and a context attribute integrated. According to the method, the information of the user, the item and the context attribute is integrated in a matrix decomposition model, and recommendation accuracy is improved in a personalized recommendation system. The recommendation system optimization method with the information of the user, the item and the context attribute integrated is characterized in that different influences of the information of the user, the item and the context attribute on overall scores, user interests and item scores are considered, and is applied to calculation of an original matrix decomposition model. The influences of the user, the item and the context attribute on the scores are considered at the same time, and therefore the recommendation accuracy is obviously higher than that of the rectangular decomposition model which only adopts user program two-dimensional score matrix information.

The present invention relates to a system, apparatus and method for implementing a personalized concierge system with an optimized user interface. The present invention adds significant value relative to prior-art LBS systems by providing a group of features that simplifies use of the system, provides personalized search capability, and supports communication of information to other people.

The invention aims to provide an unloading delay optimization method in a mobile edge computing scene. The method comprises the following steps: step 1, constructing a system model, wherein the systemmodel comprises 2M users and an MEC server, each user has L tasks and needs to be unloaded to the MEC server for calculation, and it is assumed that only two users are allowed to adopt a mixed NOMA strategy to unload at the same time; step 2, setting each user as an executor, and performing action selection by each executor according to a DQN algorithm, i.e., selecting one user from the rest 2M-1users as the own transmission partner and unloading the transmission partner at the same time; step 3, performing system optimization by using a DQN algorithm: calculating the total unloading time delay of the system, updating a reward value, then training a neural network, and updating a Q function by using the neural network as a function approximator after the selection of all users is completed; and continuously carrying out the iterative optimization on the system until the optimal time delay is found. The problem of high time delay consumption in the existing multi-user MEC scene is solved.

The invention relates to a regional energy internet multi-source coordinated optimization operation strategy considering time-of-use power price. The strategy is technically characterized by comprising the following steps that step 1, the initial data parameter of a regional energy internet system is inputted; step 2, cold/heat/electric flexible load response under the time-of-use power price is analyzed, and two classes of response models of cold/heat/electric flexible load are constructed; step 3, a regional energy internet system optimization scheduling model of the minimal economic cost and the operation constraint conditions thereof are constructed; and step 4, the regional energy internet system optimization scheduling model of the minimal economic cost is solved by using a Hessian interior point method. The regional energy internet renewable energy consumption level can be enhanced, and the strategy is also significant for realizing economic and safe operation of the system.