828 results about "Optimal combination" patented technology

A computer filing system includes a data access and allocation mechanism including a directory and a plurality of indexed data files or hash tables. The directory is preferably a radix tree including directory entries which contain pointers to respective ones of the hash tables. Using a plurality of hash tables avoids the whole database ever having to be re-hashed all at once. If a hash table exceeds a preset maximum size as data is added, it is replaced by two hash tables and the directory is updated to include two separate directory entries each containing a pointer to one of the new hash tables. The directory is locally extensible such that new levels are added to the directory only where necessary to distinguish between the hash tables. Local extensibility prevents unnecessary expansion of the size of the directory while also allowing the size of the hash tables to be controlled. This allows optimisation of the data access mechanism such that an optimal combination of directory-look-up and hashing processes is used. Additionally, if the number of keys mapped to an indexed data file is less than a threshold number (corresponding to the number of entries which can be held in a reasonable index), the index for the data file is built with a one-to-one relationship between keys and index entries such that each index entry identifies a data block holding data for only one key. This avoids the overhead of the collision detection of hashing when it ceases to be useful.

A ceramic-metal composite articulation is provided with substantial elimination of wear debris, wherein a ceramic material is provided with superior mechanical properties tailored for articulating with ceramic articulations having high flexural strength (greater than about 700 MPa), high fracture toughness (greater than about 7 MPa1 / 2) and a high Weibull modulus (greater than about 20), in comparison with presently available bio-ceramics such as alumina or zirconia. The mechanical property enhancement enables ceramic materials with greater reliability and significantly reduced in-vivo fracture risk to be obtained. Preliminary in-vitro wear performance, to several million cycles using established test protocols, of head / cup components in a prosthetic hip joint made from these ceramics also demonstrates the ultra low wear characteristics. These material properties substantially eliminate polyethylene (PE) wear debris mediated implant failures by offering an optimal combination of bio-mechanical safety and reliability with ultra low wear performance.

A power system for an electric motor drive such as may be used in an electrically propelled vehicle incorporates the combination of a high power density battery and a high energy density battery to provide an optimal combination of high energy and high power, i.e., a hybrid battery system. The hybrid battery system in one form includes components which prevent electrical recharge energy from being applied to the high energy density battery while capturing regenerative energy in the high power density battery so as to increase an electric vehicle's range for a given amount of stored energy. A dynamic retarding function for absorbing electrical regenerative energy is used during significant vehicle deceleration and while holding speed on down-hill grades, to minimize mechanical brake wear and limit excessive voltage on the battery and power electronic control devices. The high energy density battery coupled in circuit with a boost converter, a high power density battery, a dynamic retarder, and an AC motor drive circuit. The hybrid battery system is controlled by a hybrid power source controller which receives signals from a vehicle system controller using current and voltage sensors to provide feedback parameters for the closed-loop hybrid battery control functions.

A workflow system (FIG. 1) employs a selection engine (114) that attempts to match work items (100) with resources (104) in such a way that it brings the most value to all of the stakeholders in the workflow. Under resource or work-item surplus conditions (FIG. 4 or 5), the selection engine determines either those available resources that possess skills needed by an available work item or those available work items that need skills possessed by an available resource, for each determined resource determines both a business value (RSBV) of having that resource service the work item and either a value (RTV) to that resource of servicing the work item or a value (WTV) to that work item of being serviced by the resource, and then selects the resource that has a best combined value of the business value and the value to the resource or work item.

Method and system for more efficient checkpointing strategy in cross correlating (316) a forward (328) and backward (308) propagated wave such as in migrating (326) or inverting seismic data. The checkpointing strategy includes storing in memory forward simulation data at a checkpointed time step, wherein the stored data are sufficient to do a cross correlation at that time step but not to restart the forward simulation. At other checkpoints, a greater amount of data sufficient to restart the simulation may be stored in memory (314). Methods are disclosed for finding an optimal combination, i.e. one that minimizes computation time (1132), of the two types of checkpoints for a given amount of computer memory (1004), and for locating a checkpoint at an optimal time step (306, 1214, 1310). The optimal checkpointing strategy (1002) also may optimize (1408) on use of fast (1402) vs. slow (1404) storage.

The present invention provides for a method and an apparatus for automatic routing of semiconductor devices within a manufacturing area. Performance of a plurality of manufacturing tools is tracked while processing semiconductor devices. At least one optimal combination of the manufacturing tools is determined based upon the tracked performance of the manufacturing tools. A queuing system is implemented to attain the optimal combination of the manufacturing tools. A dispatch system is deployed in response to the queuing system for routing the semiconductor devices within the manufacturing area.

The invention relates to a liquid crystal mixture for a display, which comprises the following compounds in percentage by weight: 70 to 90 percent of compound in a general formula I, 0 to 20 percent of compound in a general formula II, 5 to 25 percent of compound in a general formula III, 0 to 10 percent of compound in a general formula IV and 1 to 15 percent of compound in a formula V. Through optimal combination and optical proportioning, the anisotropyenergy of the negative dielectric of the liquid crystal mixture reaches -9.5, a clearing point is between 95 and 110DEG C, the driving voltage is very low, the energy consumption can be effectively reduced, and a liquid crystal display (hereinafter referred to as LCD) powered by a battery is powered more durably. The mixture has good intersolubility between monomers, and the solubility of the mixture for dichroic dyes is good; and various single dichroic dyes with different colors can be added to the liquid crystal mixture, so the liquid crystal mixture has good absorbance and dichroic ratio to well realize darker dark state and greatly improve display contrast in the displaying process.

A method of price forecasting in an electrical energy supply network and / or load (energy demand) forecasting of a given consumer of electrical energy, in the context of an electrical energy supply network that is adapted to supply electrical energy to a number consumers connected to the network. The method includes developing a multi-regime, regime switching stochastic model for determining day ahead / spot market energy prices using at least one historical profile and subjective opinion from at least one expert; and the multiple regimes correspond to a number of combinations of physical factors. A regime is identifiable by at least three factors. The method thus facilitates identifying the optimal mix of energy hedge and exposure to day ahead / spot market prices for deriving economic benefits in overall energy expenditure.

A transport stream and channel selection system for digital video transmissions and associated method are disclosed that use predictive analyses to tune additional digital transport streams that contain desirable or optimal groupings of multiplexed channels. An analysis is made of which channels are multiplexed together at any given time to determine which transport streams provide a desirable and / or optimal combination of multiplexed channels, and a wide variety of information and algorithms can be used in determining the transport streams and channels to select. Thus, in addition to having available the channels multiplexed with the currently selected channel, a plurality of other channels multiplexed together in additional digital transport streams are made available for pre-processing. As such, the available channels for use in providing predictive pre-selection and for use in reducing delay experienced by a user in changing channels are greatly enhanced.

A method and system is disclosed for providing storage services to Virtual Machines (VMs) and the Hypervisor Platforms that host them. NAS referrals are used to control selection of NAS proxy servers that are optimized for the support of VMs and the Hypervisor Platforms accessing directories that are exclusively used in conjunction of a single VM. Referrals are dynamically controlled in a manner specific to the target environment to provide an optimal combination of local and network storage in support of VMs. A method of using named attributes allows referrals to subsets of a directory. The overhead of using a NAS proxy is tailored to the smallest set of accesses required to gain beneficial result from the use of local storage, and using direct access to shared network storage when local storage is not allocated. Most of the new suggested techniques are transparent to the existing NAS clients; some techniques may require modification of the NAS client software.

A coating composition and related method for use in applying a bioactive agent to a surface in a manner that will permit the bioactive agent to be released from the coating in vivo. The composition is particularly well suited for coating the surface of implantable medical device, such as a stent or catheter, in order to permit the device to release bioactive agent to the surrounding tissue over time. The composition includes a plurality of compatible polymers having different properties that can permit them to be combined together to provide an optimal combination of such properties as durability, biocompatibility, and release kinetics.

A coating composition and related method for use in applying a bioactive agent to a surface in a manner that will permit the bioactive agent to be released from the coating in vivo. The composition is particularly well suited for coating the surface of implantable medical device, such as a stent or catheter, in order to permit the device to release bioactive agent to the surrounding tissue over time. The composition includes a plurality of compatible polymers having different properties that can permit them to be combined together to provide an optimal combination of such properties as durability, biocompatibility, and release kinetics.

Two regularized estimators that avoid the pathologies associated with variance estimation are disclosed. The regularized variance estimator adds a contribution to estimated variance representing the likely error, and hence ameliorates the pathologies of estimating small variances while at the same time allowing more reliable estimates to be balanced in the convex combination estimator. The bounded variance estimator employs an upper bound to the variance which avoids estimation pathologies when sampling probabilities are very small.

The invention discloses an optimized operation control method and system of a distributed energy system. The method include: S1, collecting environmental information and actual operation data of a unit so as to acquire a change rule of cold and hot load of a distributed energy station user with season and moment, and establishing a cold, hot and electric load prediction model; S2, optimizing the cold, hot and electric load prediction model on line by introducing real-time calibration factors and the actual operation data of the unit; S3, on the premise that the energy utilization efficiency is met, establishing a dynamic optimized load distribution model according to the dynamic requirements of the predicated cold, hot and electric load by taking a whole-plant economic benefit optimization as an objective, and outputting dynamic optimized load distribution results; S4, based on the whole-plant economic benefit optimization, establishing an optimal combination model according to the dynamic optimized load distribution results, and outputting a unit operation optimization command. High-precision load prediction information can be acquired, a corresponding optimization command is formed, and online optimization control is performed on the load dynamics and unit operation.

A system and a method are provided for evaluating a voice performance in order to recognize a long-distance voice. The system implements a voice performance evaluation function for long-distance voice input in a robot. Particularly, in robots including a network robot, it is required to normally perform voice recognition so that a speaking subject and a surrounding situation can be recognized by a robot. Accordingly, in order to obtain the most optimal voice quality, it is important to find a noise removal algorithm through an optimal hardware configuration and an optimal combination of the optimal hardware configuration and software. Therefore, a method for finding a noise removal algorithm appropriate for each of cases, including one case where a distance from a speaking subject is fixed and another case where a distance from a speaking subject changes. As a result, the most optimal voice quality can be obtained regardless of a noise environment even when the speaking subject is a long distance away from the robot.

Systems, methods, and computer programs are disclosed for minimizing power consumption in graphics frame processing. One such method comprises: initiating graphics frame processing to be cooperatively performed by a central processing unit (CPU) and a graphics processing unit (GPU); receiving CPU activity data and GPU activity data; determining a set of available dynamic clock and voltage / frequency scaling (DCVS) levels for the GPU and the CPU; and selecting from the set of available DCVS levels an optimal combination of a GPU DCVS level and a CPU DCVS level, based on the CPU and GPU activity data, which minimizes a combined power consumption of the CPU and the GPU during the graphics frame processing.

An improved process for forecasting product demand to be used within inventory management and / or production planning systems. This improved process overcomes the limitations of the prior art by providing an optimal combination of automated statistical data processing and human intelligence, in one interactive system. The new method provides an efficient means for an operator to incorporate much information, known to the operator, that would otherwise be missed by the systems of the prior art. It allows the operator to analyze information very quickly by viewing graphs drawn on a graphical user interface and to make changes very quickly using that same graphical user interface. The method relies on the use of edit markings / symbols drawn on the display portion of the graphical user interface. These edit markings / symbols are used to make changes to the parameters forming the basis for a product demand forecast. The markings / symbols are recognized by the forecast software algorithm and a new forecast is generated based on the revised parameters.

The invention provides a system and a method for arranging cloud resources. The system comprises a cloud resource pool, an input module, an arranging engine and a resource state machine, wherein the cloud resource pool is used for providing the resources needing to arrange, and the resources are organized as different resource pools by using pooling method and are stored in a classified manner; the input module is used for inputting relative parameters according to an arranging template, wherein the arranging template is established in advance according to different business requirements; the arranging engine is used for analyzing the relative parameters, obtaining a dependency graph of the resources and processing the resources in a multi-path manner according to the dependency graph; the resource state machine is used for maintaining the state of the resources. The system and the method of the invention are used for dynamically deploying the resources according to a requirement type and a degree of an application to the resources to achieve optimal combination of the application and the resources. Simultaneously, the method and the system of the invention improve operation and maintenance efficiency of a data centre and reduce cost and management complexity.

A method and system for selecting master nodes to manage a target node group in a computer network having multiple nodes and overlapping node groups. The system includes determining a hamming distance for node pairs within the network. The node pair includes two node pair members and the hamming distance is the number of node groups the node pair members do not share in common. A participation index for nodes within the network is determined at a determining operation. The participation index is the number of node groups the node belongs to. An availability potential for node pairs is also determined. The availability potential is the sum of the participation indexes of the node pair members subtracted by the hamming distance of the node pair. An optimal combination of node pairs is found by searching for the maximum total availability potential for the network. A master node pair for the target node group is selected from the optimal combination of node pairs. If a master node pair does not exist for the target node group, a master node belonging to the target node group is selected for the target group.

A program parallelizing apparatus, a program parallelizing method and a program parallelizing program capable of creating a parallelized program of higher parallel execution performance. A fork point determination section converts an instruction sequence in part of an input sequential processing program into another instruction sequence to produce at least one sequential processing program. With respect to each of the input sequential processing program and the one or more programs obtained by the conversion, the fork point determination section obtains a set of fork points and an index of parallel execution performance to select a sequential processing program for parallelization and a fork point set with the best parallel execution performance index. A fork point combination determination section determines an optimal combination of fork points included in the fork point set determined by the fork point determination section. A parallelized program output section creates a parallelized program for a multithreading parallel processor from the sequential processing program for parallelization based on the optimal combination of fork points determined by the fork point combination determination section.

Methods and systems are provided for assigning channels in a spatial division multiple access communication network. The network includes a plurality of conventional channels some of which are configurable to be shared concurrently by plural subscribers. The method includes determining combinations of subscribers from the existing subscribers. Enhancement activities are invoked to create optimal combinations of existing subscribers. Existing subscribers are reassigned as necessary to share channels thereby freeing resources for new subscribers.

The invention relates to poly carboxylic acid system antifreeze applied to cement concrete and a preparation method thereof and belongs to the building material field. The antifreeze is prepared by the optimal combination of an efficient water reduce of poly carboxylic acid, organic alcohol amine, low-carbon alcohol, sulfocyanide and formate. The preferred proportion of the components is that the efficient water reducer to the organic alcohol amine to the low-carbon alcohol to the sulfocyanide to the calcium formate to water is equal to (3.0-8.0) to (0.5-2.0) to (0.0-2.0) to (10.0-20.0) to (0.0-6.0) to (65.0-75.0) (by mass percentage). Compared with the existing antifreeze, the antifreeze of the system has the advantages of high water reducing rate and comparatively good workability and quick growth of strength at negative temperature. The antifreeze has the advantages of low intermingled quantity in the cement concrete, good water solubility, low alkali content, high strength at the early stage and at the later stage of the cement concrete but no chlorine and is applicable to the preparation of various cement concrete at the negative temperature ranging from negative 5 DEG C to negative 20 DEG C in winter in the north area.

The invention relates to a tinnitus hearing aid which comprises a tinnitus masking module and a hearing compensation module, and is characterized in that the tinnitus hearing aid further comprises a control module; the control module comprises a pre-setting unit, a selecting unit and a voice classification device; the pre-setting unit is used for selecting any one function mode in tinnitus masking, hearing compensation and tinnitus masking and hearing compensation, and inputting related preset parameters; the voice classification device is used for sequentially performing pre-treatment, feature extraction and classification according to received signals, and finally determining a sound field environment; a signal processing algorithm is selected and the parameters in the signal processingalgorithm are adjusted according to the function mode selected by the pre-setting unit and the determined sound field environment, and optimal combination is further performed; and the selecting unitis used for opening the voice classification device and working according to the function mode selected by the pre-setting unit.

Image coding having high coding efficiency is provided with a small computational complexity by properly determining a prediction mode and a quantization parameter. When an image is coded by a prediction mode selected from plural prediction modes every any coding unit, an undetermined multiplier λ is first calculated from a quantization parameter (function S301) Subsequently, the cost of each of R-D points (pairs of number of coded bits and coding distortion that correspond to plural combinations of prediction modes and quantization parameters) is calculated (function S305) on the basis of the undetermined multiplier λ while generation and estimation of the R-D points and deletion of the points (functions S302-S304) are repeated every coding unit, for example, every macroblock, and the optimal combination of the prediction mode and the quantization parameter is determined on the basis of the R-D point providing the minimum cost.

A computer-based solver provides a method of assigning computing resources in a data center to meet computing resource requirements of an application. The solver initially creates a list of application components wherein each application component represents a largest possible combination of shared resource requirements from the application. Next, the solver identifies a set of eligible resource servers with each resource server capable of fulfilling the resource requirements for each application component in the list of application components. Typically, the resource requirements of either the shared or discrete are met by a resource server with sufficient capacity. If there is at least one feasible solution, the solver then matches an optimal combination of resource servers to each application component in the list of application components using a genetic algorithm (GA). The GA rapidly evaluates the solutions to find an optimal solution that tends to have lesser overall costs compared to other solutions identified.

An advertisement portfolio model reduces risk in an advertisement transaction for an individual advertisement product. First, a relational expression is used to determine a comprehensive advertisement risk management index for statistically representing a maximum unexpected loss amount to which the advertisement product is subject at a certain probability during the advertising campaign period. Second, a plurality of correlation coefficient data of the advertisement product are calculated from the observational data of the advertisement product. Third, an optimal combination of the advertisement products is determined in order to analyze at least either one of an effect, an efficiency or a risk of the advertisement product based on the relational expression for determining the comprehensive advertisement risk management index and the plurality of correlation coefficient data or the observational data which has taken the correlation into account indirectly, such that a sponsor can determine an optimal combination of the advertisement products.

A service kind determining section 152 determines a service class from service information included in the header of transmission data of each communication terminal apparatus. A maximum retransmission number setting section 153 sets the maximum number of retransmissions from an allowable delay time allowed in each service class. An MCS selecting section 154 decides a communication terminal apparatus that transmits a packet based on a report value from each communication terminal apparatus, and outputs information indicating the destination apparatus to a transmission queue 156 with reference to a determination result of a user determining section 151. Moreover, the MCS selecting section 154 selects a suitable modulation system and a coding rate from the MCS selection table 154 based on the maximum number of retransmissions of the destination apparatus and the report value, and outputs information indicating the selected modulation system and coding rate to a multiplexing section 157, an error correction coding section 158 and a modulating section 159. This makes it possible to decide an optimal combination of the modulation system and the error correction coding system.