667 results about "Selection algorithm" patented technology

The acceleration of peer-to-peer downloads of content files wherein a tracker performs a condition based peer selection that is dynamically adjustable. A further feature relates to the use of enhanced message scheme for communications. One embodiment is a system in a swarm having at least one origin seed capable of at least initially storing the content files with at least one tracker maintaining a list of peers wherein the tracker uses at least one dynamically adjusting peer selection algorithm to generate a condition based peer-list and provides the condition based peer-list to a requesting peer.

Aspect of the invention are directed to antivirus scanning, by a proxy server, of data downloaded from the network onto a PC workstation. The antivirus scanning is optimized for each scan by selecting an algorithm for that scan based on a determined overall likelihood that the downloaded data contains malicious code. Determination of the overall likelihood is augmented by the strength, or confidence, of statistical data relating to malware screening of results of previous downloads having similar parameters to the instant download.

An electronic catalog system provides an interface for users to author and post pieces of content, referred to as “blurbs,” for viewing by other users. The blurbs submitted by a particular author are made available for viewing in an author-specific blog (web log) format. Blurbs may also be obtained from external sources, such as from blogs hosted by various web sites. A personalized blurb selection component selects blurbs to present to users based on histories of catalog items selected by such users, and/or based on various other criteria. The blurbs selected for a particular user are presented within a personal log or “plog,” which may be updated daily and will typically contain entries from many different authors. User feedback provided on specific blurbs is taken into consideration by the personalized blurb selection algorithms.

An improved user interface and method are provided for presenting recommendations to a user when the user adds an item to a shopping cart. In response to the shopping cart add event, a page generation process generates and returns a page that includes a recommendations portion and a condensed view of the shopping cart. The recommendations portion preferably includes multiple recommendation sections, each of which displays a different respective set of recommended items selected according to a different respective recommendation or selection algorithm (e.g., recommendations based on shopping cart contents, recommendations based on purchase history, etc.). The condensed shopping cart view preferably lacks controls for editing the shopping cart, and lacks certain types of product information, making more screen real estate available for the display of the recommendations content. A link to a full shopping cart page allows the user to edit the shopping cart and view expanded product descriptions.

A communication system selection algorithm (SSA) implemented by a mobile station chooses between available systems to select a system to serve the mobile station. During initialization, the SSA causes the mobile station to scan the environment and compare available communication systems to determine the best system to provide service. After an initial system is chosen, the SSA causes the mobile station to continuously, or at discrete time intervals, scan the environment for available systems, thus allowing for a seamless switch to an available system whenever a handoff is desired. The SSA chooses the best available system based on conditions such as bit rate and cost of each available system and applying preference rules defined by a service provider and/or user of the mobile station.

Aspects of a method and system for rate selection algorithm to maximize throughput in closed loop multiple input multiple output (MIMO) wireless local area network (WLAN) system are provided and may comprise computing a maximum number of binary bits to be simultaneously transmitted via an RF channel based on signal quality. A modulation technique may be selected based on the computed maximum, communicating feedback information comprising the selected modulation technique. Subsequently transmitted data may be received via an RF channel which is modulated based on the feedback information. Another aspect of the method may comprise receiving feedback information comprising at least one of a selected modulation technique and coding rate via an RF channel, and transmitting subsequent data via said at least one of a plurality of RF channels which either modulated, or coded, based on the feedback information.

The present disclosure relates to Ethernet synchronization systems and methods that combines Synchronous Ethernet (Sync-E) and Precision Time Protocol (PTP) IEEE 1588 algorithms. The present invention includes systems and methods for Ethernet networks and node configurations that include a set of rules on node placement, such as Boundary Clock (BC) nodes and Sync-E nodes, a clock selection algorithm, a holdover algorithm, and the like. Advantageously, the present invention provides an architecture that allows practical and real-world useful clock propagation through placement of BCs and Sync-E nodes for best performance. Practical experience and theoretical design are embodied in the present invention to define a very specific set of rules on how to build a network capable of providing accurate and reliable synchronization. The present invention includes clock selection that unifies Sync-E and 1588 algorithms.

A system and a method allowing a user terminal (18) in a network to simultaneously access a plurality of radio based access networks (19, 20) of diverse access technologies. Characteristic features of the invention are access selection adapters (22, 23), each one associated with a respective radio based access network, and an access technology independent access selector (26). An access adapter has means (32) for receiving access technology dependant information from its respective access network and means (31) for translating the information into access technology independent status information. The access selector comprises an access selection algorithm (33) interacting with applications (27) resident in the user terminal and with each access adapter for selection of a radio access network based on an individual QoS profile associated with each respective application and on said access technology independent status information. The invention also relates to a method for service scheduling.

A communication system selection algorithm (SSA) implemented by a mobile station chooses between available systems to select a system to serve the mobile station. During initialization, the SSA causes the mobile station to scan the environment and compare available communication systems to determine the best system to provide service. After an initial system is chosen, the SSA causes the mobile station to continuously, or at discrete time intervals, scan the environment for available systems, thus allowing for a seamless switch to an available system whenever a handoff is desired. The SSA chooses the best available system based on measurements of each available system and applying preference rules defined by a service provider and/or user of the mobile station.

A method and apparatus optimizes the protection of computing networks. This protection utilizes attenuated (weakened) strains of live, replicating, malicious code such as viruses and worms, analogous to the development of live, attenuated, human vaccines in the medical field. In a preferred embodiment, this is achieved by (1) attenuating a malicious program, e.g. a virus or worm, or software vulnerability by limiting its virulence, i.e., limiting its damage and resource usage, (2) modifying the virus to confer immunity on the network that it infects, e.g., automatically patching a vulnerability, or marking the infected host as immune to further infection, (3) releasing the newly attenuated virus into the network, (4) tracking the attenuated virus and its success rate (e.g., rate and ratio of successfully patched to un-patched vulnerable hosts), and (5) limiting the spread of the virus vaccine, e.g., emergency termination, timeout to die, “white-list” of hosts not to touch, network IP address limitation, restricted IP ranges, variable address selection algorithm.

The present invention relates to a selection method of a user resident mechanism pf a wireless multi-hop relay network and synergy relay nodes centralizedly controlled by the base station. The present invention provides a user resident mechanism, uses thefriendly relay nodes relay and control the signaling transmission to complete; at the same time provides a relay node selection method of carrying out the centralized control and management to the entire relay node selection process by the base station, which is carried in synergies through potential relay nodes and the target terminal. The identification and selection of the relay node are divided into two steps: the first step is to identify the appropriate relay nodes, to constitute an alternative assembly; and the second step is to select a relay nodes subset to tansmit the carrying business from the alternative assembly according to the multi-optimization objective selection algorithm, and contemporarily completing the business carrying configuration of the relay nodes in the subset based on the business properties, as well as the hollow characteristics. The method not only focuses on a two-hop wireless relay network, but also can extend to the multi-hop wireless relay networks, or even extends to a wireless Mesh network and a wireless sensor network.

Systems and methods for providing an interactive display having indicators of video-on-demand programs are described. The systems and methods select indicators for inclusion in the interactive display according to a promotional selection algorithm.

A system, method and program product for selecting an algorithm and feature set to solve a problem. A perpetual analytics system is disclosed that provides a genetic algorithm for jointly selecting an algorithm and feature set to solve a problem, comprising: an evolutionary computing engine for processing data encoded as chromosomes, wherein each chromosome encodes an algorithm and a feature set; a domain knowledge store that maintains a plurality of algorithms and a plurality of features; a system for applying a generation of chromosomes to a set of data to provide a set of results; and a fitness function for evaluating the set of results to rate a performance of each chromosome in the set of chromosomes; wherein the evolutionary computing engine is adapted to evolve a subset of the set of chromosomes into a new generation of chromosomes.

The invention discloses a selection method for user plane security algorithm, including steps of: entity at the other end of the network receives request sent by user terminal; entity at the other end of network acquires and selects user plane algorithm according to security information of user terminal. The invention also provides a system and device for selecting user plane security algorithm. By the invention, network could select algorithm of different security level according to service or user's demand, namely that algorithm is negotiated based on different services or different users, so that encryption operation in network is more flexible, and protection on different levels is provided to users and services with different security demand.

Systems and methods are provided for producing a stereo disparity map representing an imaged subject. A plurality of sensors (102 and 104) are operative to produce a plurality of images. Each image has an associated exposure according to an exposure level of an associated sensor. A system control (106) determines exposure levels for the plurality of sensors according to an exposure selection algorithm. A disparity processing component (112) is operative to generate a stereo disparity map from a plurality of images. An image merger (110) is operative to merge a plurality of images to produce a composite image having an increased dynamic range.

In one embodiment, a multithreaded processor includes a plurality of buffers, each configured to store instructions corresponding to a respective thread. The multithreaded processor also includes a pick unit coupled to the plurality of buffers. The pick unit may pick from at least one of the buffers in a given cycle, a valid instruction based upon a thread selection algorithm. The pick unit may further cancel, in the given cycle, the picking of the valid instruction in response to receiving a cancel indication.

A system and method are provided for the training and testing of prediction algorithms. According to an exemplary embodiment of the invention the method generates optimum training, testing and/or validation data sets from a common general database by applying a genetic algorithm to populations of testing and training subsets used in connection with a given prediction algorithm. In exemplary embodiments the prediction algorithm operated upon is an artificial neural network. As well, in preferred exemplary embodiments, the most predictive independent variables of the records of the common database are automatically selected in a pre-processing phase. Such preprocessing phase applies a genetic algorithm to populations of prediction algorithms which vary as to number and content of input variables, where the prediction algorithms representing the selections of input variables which have the best testing performances and the minimum input variables are promoted for the processing of the new generations according to a defined selection algorithm.

The invention relates to a video auto-focusing system based on an embedded media processor. The system comprises a video collection module, an image acquisition and processing module, a focusing search module and a focusing execution module, wherein the acquisition and processing module is used to perform noise processing to the obtained original video image data and extract Y-component in the data, wherein the induction area selection algorithm based on region segmentation is adopted to extract focus area, the Tenengrad function based on Sobel gradient operator is adopted to calculate definition; the focusing search module is used to determine the moving direction of the camera lens and calculate the required step length (mov_step = step*level) of the lens; the position corresponding to the maximum definition value is used as focus position; and the focusing execution module is used to transmit control signals to a stepping motor used for driving the lens so as to adjust the position of the lens, according to the determined moving direction and step length of the lens in the focusing search module. By using the video auto-focusing system, the focusing accuracy and stability can be effectively increased, and the smoothness is improved.

A design verification system generates a small set of test cases, from a finite state machine model of the application under test. The finite state machine is reduced by creating efficient samples of the inputs to the application under test which are prepared by combinatorial input parameter selection. The test cases are generated by finite state machine traversal of the reduced state machine, and tests interacting combinations of input parameters in an efficient way. The technique is integrated into a test generator based on a finite state machine. Using an extended language, partial rulesets are employed to instruct the test generator to automatically employ combinatorial input parameter selection during test generation. Another technique for test case generation is disclosed, which uses combinatorial selection algorithms to guarantee coverage of the system under test from the aspect of interaction between stimuli at different stages or transitions in the test case.

A wireless communications unit 200, and corresponding method within, is arranged and constructed for choosing a system selection algorithm that is used for selecting a system to provide services for the communications unit and comprises: means for associating a location with the wireless communications unit 223 215; a controller 209 for choosing a system selection algorithm from a plurality of such algorithms based on the location, where the chosen algorithm includes scan parameters (FIG. 3) that vary with the location; and a receiver 205 controllable by the controller according to the chosen algorithm to search for a system to provide service for the wireless communications unit.

The invention discloses a sparse dynamic ensemble selection-based SAR (synthetic aperture radar) image terrain classification method, which mainly solves the problem that the speed of the conventional dynamic ensemble selection algorithm and the conventional dynamic classifier selection algorithm for terrain classification in SAR images is low. The implementation process of the sparse dynamic ensemble selection-based SAR image terrain classification method is as follows: (1) a wavelet energy feature is extracted from an SAR image to be classified; (2) training data is acquired from the SAR image to be classified; (3) the SAR image to be classified is regionalized to obtain data to be classified; (4) training samples are utilized to learn ensemble systems; (5) a dictionary is learnt for each class of training data, and a synthetic dictionary is obtained; (6) dynamic ensemble selection is carried out on each atom in the synthetic dictionary; (7) samples to be classified are sparsely coded; (8) the samples to be classified are marked according to a sparse coefficient and classifier ensembles corresponding to the atoms; (9) the marks of the samples to be classified are mapped onto pixels in the SAR image, so that a terrain classification result is obtained. The sparse dynamic ensemble selection-based SAR image terrain classification method has the advantages of high speed and good classification effect, and can be used for SAR image target identification.

The mobile edge calculates close attention of researchers caused by communication advantages brought by the fact that the mobile edge is close to a user, and the communication quality of vehicles canbe effectively improved by combining the mobile edge with the Internet of Vehicles technology. Task offloading problems based on vehicle mobility management are studied herein. In consideration of real-time switching of a communication area passing through a base station and real-time connection and disconnection of a communication line when a vehicle moves, the task unloading problem is decomposed into a resource-based unloading proportion distribution sub-problem and a prediction-based path switching sub-problem. And a maximum energy-saving selection algorithm and a short-term path prediction algorithm are formulated to meet the time delay constraint and minimize the task unloading energy consumption at the same time.

Methods and apparatus are disclosed for performing a spectrum assignment and route selection algorithm in an optical WDM network. The optical WDM is assigned an optical band of frequencies. In accordance to the present invention, a new spectrum assignment in the optical band always adjoins a spectrum assignment previously allocated. The very first spectrum assignment may be made to start with one end frequency in the optical band. Given a spectrum demand, one or more spectrum assignments are identified and one or more feasible routes are determined. Among the one or more feasible routes, an optimal route may be selected based on a set of pre-defined criteria. The spectrum assignment and route selection algorithm disclosed herein reduces computational complexities and improves spectrum efficiencies.

Systems, methods, and apparatus are provided for vulnerability signature based Network Intrusion Detection and/or Prevention which achieves high throughput comparable to that of the state-of-the-art regex-based systems while offering improved accuracy. A candidate selection algorithm efficiently matches thousands of vulnerability signatures simultaneously using a small amount of memory. A parsing transition state machine achieves fast protocol parsing. Certain examples provide a computer-implemented method for network intrusion detection. The method includes capturing a data message and invoking a protocol parser to parse the data message. The method also includes matching the parsed data message against a plurality of vulnerability signatures in parallel using a candidate selection algorithm and detecting an unwanted network intrusion based on an outcome of the matching.

A partial best path technique distributes route selection in a routing protocol implementation on a router. The technique also ensures that announced paths received from peers of the router (i.e., a “load”) are compared in a correct order to select best paths that are then used by the router to forward packets and to advertise to the peers. When employed in a distributed architecture, the technique further reduces memory usage. To that end, the partial best path technique enhances a best path selection algorithm executed by the router to enable dispersion of the received path load among processing nodes or elements of the router, while maintaining the ordering requirement of the algorithm. The partial best path technique essentially provides an enhancement to the best path selection algorithm that selects a subset of paths from a plurality of paths, with that subset being the minimal subset needed to select the best paths.

The present disclosure relates a network, a network element, a system, and a method providing an efficient allocation of protection capacity for network connections and/or services. These may be for services within a given Virtual Private Network (VPN) or Virtual Machine (VM) instance flow. Network ingress/egress ports are designed to be VM instance aware while transit ports may or may not be depending on network element capability or configuration. A centralized policy management and a distributed control plane are used to discover and allocate resources to and among the VPNs or VM instances. Algorithms for efficient allocation and release of protection capacity may be coordinated between the centralized policy management and the distributed control plane. Additional coupling of attributes such as latency may provide more sophisticated path selection algorithms including efficient sharing of protection capacity.

The invention discloses a medium-term and long-term combined power generation optimal scheduling method and a medium-term and long-term combined power generation optimal scheduling system in a cascade reservoir group. The method comprises the following steps that: S1, a scheduling server establishes and stores three medium-term and long-term optimal scheduling models, namely a model of largest cascade power generation capacity, a model of largest cascade power generation capacity which gives consideration to guaranteed output, and a model of largest cascade energy storage; S2, the scheduling server selects an optimal medium-term and long-term optimal scheduling model according to a power generation optimal objective; S3, a data acquisition device acquires materials required for solving the models, and the scheduling server solves the medium-term and long-term optimal scheduling models by selecting algorithms; and S4, the scheduling server generates and outputs a medium-term and long-term power generation scheduling optimal scheme. By the method and the system, the phenomenon that a large quantity of optimization variables and constraint conditions of cascade reservoir optimal scheduling influence computational efficiency and result reasonability can be avoided; and an optimal medium-term and long-term combined power generation optimal scheduling scheme is obtained.

The invention brings forward a controlled terminal controlled decision-making method and apparatus based on multiple intelligent remote controllers, for simultaneously controlling one device (hereinafter simplified as a controlled terminal) through the multiple intelligent remote controllers (such as a mobile phone and various embedded remote controllers). The apparatus comprises a controlled decision-making module embedded in the controlled terminal and remote control modules on the intelligent remote controllers. The controlled decision-making module comprises a massage processing module, an intelligent remote controller discovery module, an intelligent remote controller selection module, a public application interface module and the like. The method is as follows: arranging different priority permissions for information; the controlled terminal receiving control instructions and identity information which are sent by the multiple intelligent remote controllers; and according to the selection priority permissions of the identity information, selecting a final intelligent remote controller, and executing the control construction sent by the selected intelligent remote controller. Different selection algorithms can be selected according to needs. By using the method and apparatus, the demand for application of a signal controlled terminal by multiple remote controllers can be satisfied, and conflict-free control over the controlled terminal by the intelligent remote controllers is realized.

In order for a source node including a vehicle multihop protocol unicast apparatus to route data to a destination node, the source node broadcasts a location request message to neighbor node and receives a location response message from the neighbor nodes in response to the location request message. Therefore, the source node routs unicast data on the basis of the location information of the destination node included in the location response message. At this time, the source node uses a location based forwarder selecting algorithm in order to select a forwarder.

The invention relates to one visual frequency compression codes macro block coding mode selection method, which comprises the following steps: predicting move and processing rapid speed and lose estimation after exchange and volume; during computation, processing exchange parameters as zero; in speed estimation computation, establishing non-zero parameters sum, and number and journey sum and relation module; defining one index function to meter non-zero parameter number and journey sum impact on speed with each real code for one block to update index list according to low pass filter; according to speed and aberration estimation to process macro coding module selection.