56results about How to "Reduce computational processing" patented technology

An apparatus and methods for processing video data are described. The invention provides a representation of video data that can be used to assess agreement between the data and a fitting model for a particular parameterization of the data. This allows the comparison of different parameterization techniques and the selection of the optimum one for continued video processing of the particular data. The representation can be utilized in intermediate form as part of a larger process or as a feedback mechanism for processing video data. When utilized in its intermediate form, the invention can be used in processes for storage, enhancement, refinement, feature extraction, compression, coding, and transmission of video data. The invention serves to extract salient information in a robust and efficient manner while addressing the problems typically associated with video data sources

The invention discloses a night vision image salient contour extracting method based on non-classical receptive field composite modulation. A multi-scale iterative noticing method is constructed according to a non-classical receptive field composite modulation model, the scale factor of non-classical receptive field composite modulation is dynamically changed in the iterative process, and a composite modulation result of an input night vision image is calculated. In each step of the iterative process, for each pixel of the input image, a multi-dimensional feature contrast MFC weighted inhibition model is adopted to calculate an inhibition result of each pixel first, then, a facilitation result of each pixel is calculated based on a grouping excited voting GEV facilitation model, and finally, non-classical receptive field composite modulation output is obtained. By adopting the method of the invention, the problem of noise and texture suppression in low-light and infrared images and the problem of contour discontinuity caused by imaging characteristics, environment inhibition and noise interference are solved.

An algorithmic approaches that can be implemented in software/firmware/hardware that filters out stable PRI patterns detected within a system that is prosecuting against radar based transmissions are disclosed. The algorithms allow downstream computing assets to concentrate their limited resources on the more complex emitter PRI pattern types. Thus, a portion (e.g., stable signals) of the pulse deinterleave and PRI identification problem is solved without requiring the more computationally expensive processing. The disclosed algorithms can be employed, for example, in electronic support measures (ESM) systems, electronic intelligence (ELINT) systems, and/or a electronic countermeasures (ECM) systems. The algorithms employ linear detection, linear regression, or a combination of linear detection and linear regression, thereby providing a “dual voting” scheme that decreases the occurrence of false positives. Other algorithmic approaches can be used as well in a multi-voting scheme that considers PRI estimates from distinct analysis types.

The invention relates to an integrated automated testing system based on subsystems, and is characterized in that a public support system is utilized to perform integration, so that the testing system is divided into the subsystems with different granularities; a communication technology is adopted to realize effective testing and data collection for a plurality of network types; the concept of system on module is adopted in the public support system, so that a central processing unit (CPU), a memory, a storage cell, Flash, an operating system, an IO (Input/Output) and a controlled unit are directly integrated on a hardware module, thus each hardware module constitutes one subsystem which is capable of performing independent operation; the subsystems are incorporated into a common bus by related interfaces, so that each other hardware module in the testing system can carry out interaction with the common bus to realize resource sharing; and among the subsystems, a distributed computing technology is adopted, a plurality of CPUs are cooperated, a plurality of tested objects are subjected to parallel processing, and data is subjected to centralized processing, thus forming the complete automated testing system. The automated testing system has the advantages of low power consumption, miniaturized volume, strong expansion capability and the like.

A navigation system may display route information that includes a display of the fixtures that are located on or near the route. The fixtures may be selected and inserted into the digital map as graphical objects. The graphical objects may be classified into a class and at least one sub-class. The classification data may be used to select and generate the graphical objects.

An apparatus and methods for processing video data are described. The invention provides a representation of video data that can be used to assess agreement between the data and a fitting model for a particular parameterization of the data. This allows the comparison of different parameterization techniques and the selection of the optimum one for continued video processing of the particular data. The representation can be utilized in intermediate form as part of a larger process or as a feedback mechanism for processing video data. When utilized in its intermediate form, the invention can be used in processes for storage, enhancement, refinement, feature extraction, compression, coding, and transmission of video data. The invention serves to extract salient information in a robust and efficient manner while addressing the problems typically associated with video data sources.

The invention relates to a personalized commodity recommendation method. The method comprises the steps of receiving a commodity search instruction of a user; If the users are classified, calculatingmulti-dimensional average label information preferred by the users, wherein a recommendation model of the users calculates first multi-dimensional attribute information based on the multi-dimensionalaverage label information, calculates the distance between the first multi-dimensional attribute information and second multi-dimensional attribute information of each commodity in the commodity category, and pushes the commodities with the smaller distance to the users; Otherwise, calculating first multi-dimensional average attribute information based on the second multi-dimensional attribute information of the plurality of commodities, and determining a recommendation model suitable for the user based on the first multi-dimensional average attribute information and the recommendation model of each type of users. According to the recommendation method provided by the invention, firstly, users are clustered, and multi-dimensional commodity label information and commodity attribute information are utilized, so that the recommendation accuracy is high; Besides, when the user is a new user, a recommendation model of the new user is formed by utilizing an existing recommendation model through attention transfer learning, so that the cold start problem is solved.

The invention discloses a parameter identification method of a doubly-fed wind power generator, and relates to the field of wind power generation. The parameter identification method comprises the steps of firstly, determining a to-be-identified parameter; secondly, continuously acquiring running data of a doubly-fed wind power generator model at interval, and building a to-be-identified samplingmatrix; thirdly, solving a rough identification vector according to a first solution formula; taking the rough identification vector as a to-be-identified vector of a (N+1)th item in response to sampling items of the running data less than or equal to M; fourthly, solving a fine identification vector according to a second solution formulae in response to the sampling item of the running data larger than M, and taking the fine identification vector as a to-be-identified vector of the (N+1) item; and sending the to-be-identified vector to a doubly-fed wind power generator controller. Previous data is eliminated, so that the calculation processing quantity becomes less; and meanwhile, since a parameter identification system is a gradual-changing system, the father from the current time node,the lower the data accuracy is, the data at the current moment is removed, and the system accuracy is effectively improved.

Means (108) for judging an amount of deviation compares correlation values from respective correlating devices 1051 to 1058 with one another to detect a deviation amount and a deviation direction of a frequency central value currently set from a synchronization timing at which the maximum correlation value can be obtained and outputs a window position changing signal to window moving means 107. The window moving means 107 performs a change of the central frequency value of a window width on the basis of the window position changing signal from the deviation amount judging means 108. When the correlation value maximum timing moves from the central frequency due to an AFC error, the position of the window itself is moved corresponding to the movement of the correlation value maximum timing so that the correlation value maximum timing is prevented from deviating from the window even when the window width is made narrow.

A wireless communication system may include a first wireless communications device, and a second wireless communications device. The first wireless communications device may include a wireless transmitter, and a modulator coupled to the wireless transmitter for modulating input data to generate a Gaussian phase shift keyed signal having a selected data symbol mapping. The second wireless communications device may include a wireless receiver, and a demodulator coupled to the wireless receiver for demodulating the Gaussian phase shift keyed signal using memory-less symbol decisions based upon the selected data symbol mapping.

A method and system for improving performance at a central monitor loader program when replicating data between relational databases. Benefits include improved generating speed, near real-time synchronization between source and target databases, and independence from source data volume. The concept of Delete Changed First effectively deletes outdated data records by obtaining a list of changed records using time and date stamp analysis and inserting updated records into target data. Database problem determination and maintenance are made easier as a result of this new method.

Reducing system downtime during memory subsystem maintenance in a computer processing system is disclosed. In some aspects, a computer processing system comprises a computer processor communicatively coupled to a plurality of memory sockets, each of which interfaces with a memory module and includes a gate control. The computer processor is further communicatively coupled to a dedicated non-volatile storage device. Upon detection of a memory health condition requiring replacement of a memory module, access to the memory module is blocked, and data is transferred from the memory module to the dedicated non-volatile storage device. A memory address range of the memory module is then remapped to the dedicated non-volatile storage device, such that subsequent memory access requests to the memory module are rerouted to the dedicated non-volatile storage device. The memory socket of the memory module is then gated, allowing maintenance to be performed while maintaining system availability.

The invention provides a retrieval device and a retrieval method. The number of character string candidate lists can be limited and decreased effectively, and a target character string can be retrieved rapidly. The retrieval device comprises an input portion, a storage portion, a retrieval portion, an output portion, a character string extraction portion, a retrieval efficiency computation portion and a processing portion. The character string extraction portion is used for extracting all the candidate character strings before the retrieval from the storage portion or the candidate character strings extracted by the retrieval portion currently; the retrieval efficiency computation portion is used for computing the character position retrieval efficiency, representing the effects of the characters in the character positions when the retrieval portion screens the candidate character strings, according to character positions of characters which are not input; the processing portion is used for endowing priority to the corresponded character positions according to the retrieval efficiency of the character positions computed by the retrieval efficiency computation portion.