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118results about How to "Reduce the number of updates" patented technology

Address mapping method for flash translation layer of solid state drive

The invention discloses an address mapping method for a flash translation layer of a solid state drive. The method comprises the following steps of (1) establishing a cached mapping table, a cached split table, a cached translation table and a global translation directory in an SRAM (static random access memory) in advance; (2) receiving an IO (input/output) request, turning to a step (3) if the IO request is a write request, otherwise turning to a step (4); (3) preferentially and sequentially searching the tables in the SRAM for the hit condition of the current IO request, finishing write operation according to hit mapping information, and caching the mapping information according to a hit type and a threshold value; (4) preferentially searching the tables in the SRAM for the hit condition of the current IO request, and finishing read operation according to the hit mapping information in the SRAM. The method has the advantages that the random write performance of the solid state drive can be improved, the service life of the solid state drive can be prolonged, the efficiency of the flash translation layer is high, the hit ratio of address mapping information in the SRAM is high, and less additional read-write operation between the SRAM and the solid state drive Flash is realized.
Owner:NAT UNIV OF DEFENSE TECH

Visual positioning method based on robust feature tracking

InactiveCN103345751AImprove convergence rateImprove feature tracking performanceImage analysisFeature extraction algorithmVisual positioning
The method discloses a robust feature tracking and stereoscopic vision positioning technology based on image processing and machine vision. The technology can integrate inertial information and visual information and achieve reliable stereoscopic vision positioning under camera waggling conditions and outdoor light conditions. Images are collected through a binocular video camera in real time, and rotation information of the camera is collected with an inertial measurement unit. Feature points in the images are extracted with a feature extraction algorithm, and the feature points of the left image and the feature points of the right images are matched stereoscopically. The inertial information is combined and the inertia and the KLT algorithm are integrated to track the feature points, so that the reliability of the feature tracking is promoted. Three-dimensional information of the feature points is restored according to the double vision geometric principle. Motion parameters of the camera are obtained through position information of the feature points with the Gaussian and Newton iteration method. The accuracy of visual positioning is further promoted with the RANSIC algorithm. The whole process is iterated continuously, and thus real-time calculation of the posture and the position of the camera is achieved.
Owner:BEIJING UNIV OF POSTS & TELECOMM

Stable tracking method for target under complex background

The invention discloses a stable tracking method for target under a complex background, and relates to the field of target tracking. The method comprises the following steps that: obtaining the current frame of image of a video image; selecting a candidate area on the current frame of image; obtaining a target position corresponding to a candidate target by a classifier model; carrying out tracking failure judgment on the candidate target; and when the candidate target is the tracking target, carrying out tracking by the coordinate information of the tracking target in the current frame of image, and updating the classifier model to finish the stable tracking of the target in the video image. Through a response diagram oscillation situation between a candidate sample and a classifier model, a tracking losing judgment condition is set, and therefore, whether the target is under the situations including blocking, losing or blurring and the like can be accurately judged. Meanwhile, the historical value of the response value in the response diagram can be used for judging model update, a model drifting situation and a model update frequency are reduced, the tracking target can be accurately selected from the candidate samples from the complex scene, and the target can be quickly and stably tracked.
Owner:XIAN TIANHE DEFENCE TECH

Linearization device and linearization method in broad-band communication system

ActiveCN101547178AEliminate memory nonlinear distortionImproved speed of distortion removalMulti-frequency code systemsSynchronous/start-stop systemsTime domainAdaptive filter
The invention discloses a linearization device with a memory nonlinear amplifier and a linearization method in a broad-band communication system. The linearization procedure is as follows: using a frequency domain dresser, a time domain dresser and a self-adaptive filter to respectively carry out frequency domain dressing, time domain dressing and filtering processing for transmitting signals and amplifying the dressed signals: attenuating the amplified signals to the electrical level before amplification and feeding back the signals and using feedback signals and input signals to respectively update filter tap coefficient, a time domain checking table and a frequency domain checking table; repeating the above steps to continually update the frequency domain checking table, the time domain checking table and the filter tap coefficient and then carrying out frequency domain dressing, time domain dressing and filtering processing for generated transmission signals by utilizing the updating value of the filter tap coefiicient, the dressing value of the time domain dresser and the dressing value of the frequency domain signal dresser; repeating the operation again and again till realizing the linearization function of an amplifier in a broad-band OFDM system. The invention has the advantages of high convergence speed, high convergence precision and high degree of linearization.
Owner:XIAN CETC XIDIAN UNIV RADAR TECH COLLABORATIVE INNOVATION INST CO LTD

Power equipment temperature prediction method based on PSO-LSSVM online learning

The invention discloses a power equipment temperature prediction method based on PSO-LSSVM online learning, and the method carries out the online evaluation and screening of a training sample: firstlytransmitting the collected real-time temperature data of power equipment to a background system, and carrying out the preprocessing of the sampling data; then judging whether incremental learning iscarried out on newly added samples or not according to KKT conditions of an LSSVM model, Meanwhile, rejecting the samples with the maximum characteristic difference in the current training sample setthrough an adjusdesk cosine similarity method; and then, predicting the temperature of the power equipment after the moment t by using an online trained PSO-LSSVM model, and carrying out different levels of high-temperature early warning on the power equipment which may exceed a temperature threshold. According to the method, the contribution of the newly added samples is more emphasized, and thetraining sample set capable of best reflecting the current state is obtained, so that the generalization ability of the model is improved, the prediction operation efficiency is improved, the temperature at the next moment can be effectively predicted, and the safety of using electrical equipment is improved.
Owner:CHINA THREE GORGES UNIV
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