192 results about "Efficient algorithm" patented technology

A method (FIG. 5) and apparatus (FIG. 3) to provide control and policy enforcement of WAP (Wireless Application Protocol) services in a wireless data networks is taught herein. WAP traffic is inspected with efficient algorithms to intercept un-registered WAP access and intercept dynamic change of user service selection. The intercepted WAP requests are modified with value-added parameters (such as QoS and subscriber identifiers) as per user and service provider agreement and table data. A series of strategies are described to blend wireless intelligence, user preference and service subscription, network operator requirements and service provider or enterprise preferences into routing and drive page generation. The means to dynamically provision users' service choices to wireless network elements are also presented without having to break the session within the system. This enables innovative data services such as pay-per-use, smart routing, and enterprise secured WAP services unlike any current conventional system.

The proliferation of network data in various application domains has raised privacy concerns for the individuals involved. Recent studies show that simply removing the identities of the nodes before publishing the graph / social network data does not guarantee privacy. The structure of the graph itself, and in is basic form the degree of the nodes, can be revealing the identities of individuals. To address this issue, a specific graph-anonymization framework is proposed. A graph is called k-degree anonymous if for every node v, there exist at least k−1 other nodes in the graph with the same degree as v. This definition of anonymity prevents the re-identification of individuals by adversaries with a priori knowledge of the degree of certain nodes. Given a graph G, the proposed graph-anonymization problem asks for the k-degree anonymous graph that stems from G with the minimum number of graph-modification operations. Simple and efficient algorithms are devised for solving this problem, wherein these algorithms are based on principles related to the realizability of degree sequences.

A method (FIG. 5) and apparatus (FIG. 3) to provide control and policy enforcement of WAP (Wireless Application Protocol) services in a wireless data networks is taught herein. WAP traffic is inspected with efficient algorithms to intercept un-registered WAP access and intercept dynamic change of user service selection. The intercepted WAP requests are modified with value-added parameters (such as QoS and subscriber identifiers) as per user and service provider agreement and table data. A series of strategies are described to blend wireless intelligence, user preference and service subscription, network operator requirements and service provider or enterprise preferences into routing and drive page generation. The means to dynamically provision users' service choices to wireless network elements are also presented without having to break the session within the system. This enables innovative data services such as pay-per-use, smart routing, and enterprise secured WAP services unlike any current conventional system.

A method and system are related to updating objects over limited bandwidth networks. Objects are updated between two or more computing devices using remote differential compression (RDC) techniques such that required data transfers are minimized. In one aspect, efficient large object transfers are achieved by recursively applying the RDC algorithm to its own metadata; a single or multiple recursion step(s) may be used in this case to reduce the amount of metadata sent over the network by the RDC algorithm. Objects and / or signature and chunk length lists can be chunked by locating boundaries at dynamically determined locations. A mathematical function evaluates hash values associated within a horizon window relative to potential chunk boundary. The described method and system is useful in a variety of networked applications, such as peer-to-peer replicators, email clients and servers, client-side caching systems, general-purpose copy utilities, database replicators, portals, software update services, file / data synchronization, and others.

The present invention finds candidate objects for remote differential compression. Objects are updated between two or more computing devices using remote differential compression (RDC) techniques such that required data transfers are minimized. An algorithm provides enhanced efficiencies for allowing the receiver to locate a set of objects that are similar to the object that needs to be transferred from the sender. Once this set of similar objects has been found, the receiver may reuse any chunks from these objects during the RDC algorithm.

The present invention is used to update objects over limited bandwidth networks. Objects are updated between two or more computing devices using remote differential compression (RDC) techniques such that required data transfers are minimized. In one aspect, efficient large object transfers are achieved by recursively applying the RDC algorithm to its own metadata; a single or multiple recursion step(s) may be used in this case to reduce the amount of metadata sent over the network by the RDC algorithm. Objects and / or signature and chunk length lists can be chunked by locating boundaries at dynamically determined locations. A mathematical function evaluates hash values associated within a horizon window relative to potential chunk boundary.

A multi-structural query system performs a high-level multi-dimensional query on a multi-structural database. The query system enables a user to navigate a search by adding restrictions incrementally. The query system uses a schema to discover structure in a multi-structural database. The query system leaves a choice of nodes to return in response to a query as a constrained set of choices available to the algorithm. The query system further casts the selection of a set of nodes as an optimization. The query system uses pairwise-disjoint collections to capture a concise set of highlights of a data set within the allowed schema. The query system further comprises efficient algorithms that yield approximately optimal solutions for several classes of objective functions.

A method and apparatus are shown for performing efficient arithmetic on binary vectors in a finite field. Typically, there is an efficient algorithm within an execution context, such as hardware or software, for performing a selected arithmetic operation on an operand. When the operand is in a first representative format and the efficient algorithm operates in an alternative representation format, then the operand is permutated from the first representative format to the alternative representation format. The efficient algorithm is then performed on the operand in the alternative representation format in order to obtain a result in the alternative representation format. The result is then permutated from the alternative representation format to the first representation format. Thus, efficient arithmetic is obtained by using the most efficient algorithm available in either the first representation format or the alternative representation format and permuting operands and results to the representation format corresponding to the most efficient algorithm available.

A computational efficient algorithm for compression analysis of free-hand static elasticity imaging performed using medical diagnostic ultrasound imaging equipment offers tissue compression quality and quantity feedback to the operator. The algorithm includes a criterion for automatic selection of the most advantageous pre- and post- compression frame pairs delivering elasticity images of optimal dynamic ranges (DR) and signal-to-noise ratios (SNR). The use of the algorithm in real time eases operator training and reduces significantly the amount of artifact in the elasticity images while lowering the computational burden.

Multiquery optimization is performed in the context of RDF / SPARQL. Heuristic algorithms partition an input batch of queries into groups such that each group of queries can be optimized together. The optimization incorporates an efficient algorithm to discover the common sub-structures of multiple SPARQL queries and an effective cost model to compare candidate execution plans. No assumptions are made about the underlying SPARQL query engine. This provides portability across different RDF stores.

A computational efficient algorithm for compression analysis of free-hand static elasticity imaging performed using medical diagnostic ultrasound imaging equipment offers tissue compression quality and quantity feedback to the operator. The algorithm includes a criterion for automatic selection of the most advantageous pre- and post-compression frame pairs delivering elasticity images of optimal dynamic ranges (DR) and signal-to-noise ratios (SNR). The use of the algorithm in real time eases operator training and reduces significantly the amount of artifact in the elasticity images while lowering the computational burden.

In a frequency analysis system, such as a signal detection system or a spectrum analyzer, the frequency domain resolution is enhanced by compression and decompression of the signal samples. The limited capacity of the data storage and / or data transfer resources limit the number of samples that can be stored or transferred. A compressor forms a compressed signal prior to data transfer or storage. A decompressor decompresses the compressed signal prior to transformation to the frequency domain, by a fast Fourier transform or other frequency domain transform. The frequency domain resolution is enhanced because more decompressed samples are available for the frequency domain transform. The compressor and decompressor apply computationally efficient algorithms that can be implemented to operate in real time.

The invention discloses a monocular vision AGV (Automated Guided Vehicle) accurate positioning method and system based on multi-window real-time range finding. The method comprises according to a camera slanting installation mode, calibrating and measuring camera parameters and establishing a visual system real-time measuring model; setting a circular color lump on the ground to be used as the reference substance for parking positioning, identifying the circular color lump through the efficient algorithm of the visual system, and accurately extracting central position information; and in a view filed, setting a plurality of windows to process images a far-end window is used for an AGV to predetermine ground information so as to gradually decelerate; an intermediate window is used as a coarse positioning window, and used for adjusting poses; and a near-end window is used for accurate range finding and parking. The method allows an AGV to sense depth information, and has the advantages of high characteristic recognition rate, excellent arithmetic instantaneity, low cost and great extendibility. The horizontal distance deviation of AGV parking is stabilized at +-1 mm, the angle deviation is stabilized at +-1 DEG, and the parking error is stabilized at +- 2mm.

A video processing apparatus and methodology are implemented as a combination of a processor and a video decoding hardware block to decode video data by providing the video decoding block with an in-loop filter and a scratch pad memory, so that the in-loop filter may efficiently perform piecewise processing of overlap smoothing and in-loop deblocking in a macroblock-based fashion which is a much more efficient algorithm than the frame-based method.

Self-driving and autonomous vehicles are very popular these days for scientific, technological, social, and economical reasons. In one aspect of this technology, path prediction and target classifications are main pillars and enablers for safety and mobility applications. Accurate Estimation of the lane assignment of the remote vehicle with respect to the host vehicle lane results in the accurate threat assessment. V2X and C-V2X are emerging technology for safety applications, and they cover relatively long range. Long range means more room for error in path prediction / target classification. Therefore, here, we offer an efficient path prediction and target classification algorithm to enable these technologies performing safety and mobility applications. The method fuses target vehicles data and host vehicle data in an efficient algorithm to perform this task. Other variations are also presented here.

A computational efficient algorithm for compression analysis of free-hand static elasticity imaging performed using medical diagnostic ultrasound imaging equipment offers tissue compression quality and quantity feedback to the operator. The algorithm includes a criterion for automatic selection of the most advantageous pre- and post-compression frame pairs delivering elasticity images of optimal dynamic ranges (DR) and signal-to-noise ratios (SNR). The use of the algorithm in real time eases operator training and reduces significantly the amount of artifact in the elasticity images while lowering the computational burden.

A method for fast inverse planning of IMRT treatment plans is disclosed. The method relies on a computationally efficient algorithm for evaluating the gradient of a general class of objective functions, and also on the efficient optimization that is realized due to the directional conjugacy of the objective functions. Several types of clinically relevant objective functions that belong to this class are described. The computational evaluation relies on operations that are commonly used for signal- and image-processing, and so can benefit from a number of well-known acceleration techniques.

An efficient algorithm is presented for selecting an agent to service a task in a skills-based routing system. A set X is determined of all states of the boolean variables that contain the required skills for a task. A resume table of available agents is built, organized by the states of the N variables; each agent is represented in each state that includes all skills possessed by the agent. All available and qualified agents are determined from the resume table; those agents associated with a state of the resume table outside of the set X are disqualified. An agent is selected from those remaining. Preferably, an agent is selected having a minimum qualification level to service the task. One preferred way of doing this is to subtract from the number of terms in a canonical form of the required skills expression a number equal to the number of times the agent appears in the set of states X and picking an agent with the lowest result. In the preferred embodiment, however, proficiency levels of each required skill are taken into account in making the final selection.

Algorithms for real-time estimation of the engine friction torque in a vehicle powertrain are disclosed. Engine friction torque is estimated at start and at engine idle. Recursive and computationally efficient algorithms allow prediction of friction torque for a wide range of speeds and loads even with few new measured points by taking into account physical dependencies used for adaptation of the sites of the look-up tables (static maps). The algorithms make it possible to avoid drivability problems that could result from errors in estimating engine friction torque.

The present invention is used to update objects over limited bandwidth networks. Objects are updated between two or more computing devices using remote differential compression (RDC) techniques such that required data transfers are minimized. In one aspect, efficient large object transfers are achieved by recursively applying the RDC algorithm to its own metadata; a single or multiple recursion step(s) may be used in this case to reduce the amount of metadata sent over the network by the RDC algorithm. Objects and / or signature and chunk length lists can be chunked by locating boundaries at dynamically determined locations. A mathematical function evaluates hash values associated within a horizon window relative to potential chunk boundary.

The loss of packets in a communication system can be minimized in an optimal manner by adapting a set of error correction (EC) parameters in response to a calculated probability of packet loss. The calculated probability is obtained from derived algorithms that are applied to a set of communication parameters. Algorithms are derived from Bernoulli-distributed traffic models and constant bit rate (CBR) traffic models of the communication system. A collapsed-state model is used to derive a very efficient algorithm that calculates an approximate probability of packet loss. Alternate applications for the algorithms are also disclosed.

The invention provides a linear search method of joint allocation of channel bandwidth and power in a non-orthogonal multiple access link. The method comprises the following steps: 1) providing, by abase station, data flow service for a mobile user through the non-orthogonal multiple access technology; 2) analyzing system characteristics to equivalently transform a problem; and 3) designing an efficient algorithm solution according to the characteristics of the finally converted problem, and finally substituting an output result of the algorithm to a top layer problem to obtain an optimal bandwidth and power allocation value. The invention provides a feasible and efficient optimization method that not only guarantees the data demand of mobile users, but also minimizes the total system resource consumption, so as to improve the utilization rate of system resources and optimize the configuration of system resources.

The invention discloses a frequency division multiplexing multi-user MIMO energy efficiency optimization method which can be applied to a multi-user MIMO system. The optimization goal is to design a precoding scheme for each user to maximize a total energy efficiency utility function. The frequency division multiplexing multi-user MIMO energy efficiency optimization method is implemented through the following steps that firstly, optimization preprocessing is conducted on energy efficiency functions of all the users, wherein the optimization preprocessing process is specifically divided into three steps of noise whitening and channel diagonalization, determination of a water-filling solution of a link power allocation scheme and acquisition of the optimized energy efficiency functions; secondly, the energy efficiency functions optimized in advance are used for determining the sending power of each user to maximize the total energy efficiency utility function of the multiple users; finally, a user group energy efficiency utility maximization algorithm is used for solving the problem. According to the frequency division multiplexing multi-user MIMO energy efficiency optimization method, the definition of the multi-user energy efficiency utility function has universality and can cover various indexes including the weighted average, the exponentiation product, the weighed harmonic average, the weighed minimum value and the like for maximizing the energy efficiency of all the users, and the efficient algorithm put forward later is applicable to all the indexes.

This invention concerns an efficient algorithm for automatic and accurate segmentation of Abdominal Aortic Aneurysm (AAA). The algorithm first identifies the location of the lumen (the inner portion of aorta) and then segments it. The abdominal portion of the lumen is then found using anatomical and geometrical features. This portion of the lumen is straightened using geometrical transformation based on the smoothed centreline. The transformed lumen is then passed through a number of filters, based on geometrical, intensity, gradient and texture features, to search for the existence of the aneurysm. If aneurysm is detected, a deformable model is first initialized to the approximate borders of the aneurysm which are then refined using global and location information.

An indirection system in a shingled storage device is described that uses an efficient algorithm to map LBAs to DBAs based on a predetermined rule or assumption and then handles as exceptions LBAs that are not mapped according to the rule. The assumed rule is that a fixed-length set of sequential host LBAs are located at the start of an I-track. Embodiments of the invention use two tables to provide the mapping of LBAs to DBAs. The mapping assumed by the rule is embodied in the LBA Block Address Table (LBAT) which gives the corresponding I-track address for each LBA Block. The LBA exceptions are recorded using an Exception Pointer Table (EPT), which gives the pointer to the corresponding variable length Exception List for each LBA Block. The indexing into the LBAT and the EPT is made efficient by deriving the index from the LBA by a simple arithmetic operation.

A database system which uses a hierarchical structure of data nodes. The nodes are of two types, tag nodes forming the hierarchical structure, each tag node having one or more data storing audit nodes as children. Data entered into the database is stored in the audit nodes and changes to the stored data are made by the addition of new versions of the audit nodes such that the audit nodes form an audit trail for the database. Current data is viewed by supplying via the tag node the most recently added child, and older versions of the database are similarly supplied via the tag nodes transparently presenting older versions of the time-stamped audit nodes. The tag nodes may store data which has been automatically deduced from the data in the audit nodes. Both data and the data structure may be selectively replicated throughout the database using an efficient algorithm.

The invention discloses a detection method for track geometric irregularity based on a two-dimensional laser displacement sensor. A left laser sensor, a right laser sensor, a longitudinal inclinometer, a lateral inclination meter, a gyroscope, a lateral accelerometer, and a left vertical acceleration are installed on the detection beam. meter, right vertical accelerometer, the left laser sensor and the right laser sensor are two-dimensional laser sensors; perform the following measurements: track gauge detection, height detection, rail direction detection, horizontal superhigh detection, twist detection, curvature detection, Rail vertical as well as side wear measurements. The present invention adopts a high-speed two-dimensional laser displacement sensor, which has strong anti-interference ability. Based on the two-dimensional sensor, there is no complicated image processing step, and with simple and effective back-end algorithm processing, it has higher detection and calculation speed. It can effectively eliminate the influence of vehicle body vibration on the detection result, the detection result has high repeatability, can compensate the detection result, and has higher detection accuracy.