30 results about "Residual correction" patented technology

An image stabilization apparatus including a supporting unit that supports an image capturing unit, a rotation unit that rotates the supporting unit, a calculation unit that calculates a residual correction amount of image blur after image blur correction is performed by a first image blur correction unit, a second image blur correction unit that corrects the residual correction amount of image blur using a method different from that of the first image blur correction unit, and a change unit that changes allocation between a correctable range of the second image blur correction unit correcting image blur in a horizontal or vertical direction on the imaging plane and a correctable range of the second image blur correction unit, based on a rotation angle of the rotation unit and the residual correction amount of image blur.

In a method for correcting for residual activity due to an earlier tracer in a later PET or SPECT scan image at reconstruction, thereby generating a residual-corrected later image the residual activity is estimated by detecting the time of an introduction of a tracer for the later PET or SPECT scan; and separating the residual activity from the true counts during iterative reconstruction of the PET or SPECT scan image.

A method for improving color calls or base calls utilizes current and prior cycle multi-channel intensity data from a sequencing run to model residual cycle buildup. The model is applied to correct the multi-cycle channel intensity for the current cycle. The corrected multi-cycle channel intensity is used for color calls or base calls for the current cycle.

The present invention provides a disk fault processing method in a disk array system and a data reconstruction method, including: the disk of the disk array generates read-write faults; the fault data block is located, the residual correction data of the fault disk is retained, the fault information table is checked, the strip of the faulty data block whether existing other fault data blocks or not is judged, if yes, the disk array system is provided to a ''read-only mode'', forbidding user execute write operation, if not, the position information of the fault data block is recorded in the fault information table, then whether a redundancy data disk existing in the disk array system or not is judged, if not, entering in the ''degradation'' operation mode, otherwise, the fault data block is processed with data reconstruction, recovering the fault data.

The invention discloses a residual correction method for NWP inversion tropospheric delay under multi-factor constraints. The method comprises steps: continuous one-year ZTD of all continuous runningreference stations in a working area and continuous one-year re-analysis data provided by the NWP in the area are firstly acquired; the ZTD of all continuous running reference stations in the area areinverted by using an integral method; the NWP inversion ZTD residual is fit based on a polynomial fitting method based on the minimum absolute residual method, and NWP prediction data and the initialcoordinates of an observation station at the current moment are acquired; by using the above residual model, the NWP_ZTD residual after correction at the current moment is calculated; the initial value of the NWP_ZTD at the current moment is inverted by using the NWP prediction data at the current moment; the initial value of the above NWP_ZTD and the NWP_ZTD residual after correction are added,and the accurate NWP_ZTD at the current moment is obtained. The method performs modeling for the first time based on the relationship between temperature, humidity, position and other factors and a tropospheric residual time sequence, the NWP inversion tropospheric delay residual is improved to improve the tropospheric delay estimation precision to a sub-centimeter level.

Aiming at the problem that an existing short-time traffic flow forecasting model is low in forecasting precision, the invention provides a short-time traffic flow forecasting method on the basis of grey system and least square support vector machine combined forecasting. The method, on the basis of advantages of a grey model, the least square vector machine (LSSVM) and other artificial intelligence methods, establishes a grey system and least square support vector machine combined forecasting model, and carries out residual correction and background value correction on the grey model as well as parameter optimization on the least square vector machine, so as to improve forecasting precision and generalization ability of the combined forecasting model; as forecasting time extends, the grey system and least square support vector machine combined forecasting model is relatively high in forecasting precision and is high in forecasting precision stability; and the method, through empirical analysis, achieves a good improvement effect.