204results about How to "Low robustness" patented technology

An MPC controller technique integrates feedback control performance better than methods commonly used today in MPC type controllers, resulting in an MPC controller that performs better than traditional MPC techniques in the presence of process model mismatch. In particular, MPC controller performance is enhanced by adding a tunable integration block to the MPC controller that develops an integral component indicative of the prediction or other control error, and adds this component to the output of an MPC controller algorithm to provide for faster or better control in the presence of model mismatch, which is the ultimate reason for the prediction error in the first place. This technique enables the MPC controller to react more quickly and to provide better set point change and load disturbance performance in the presence of model mismatch, without decreasing the robustness of the MPC controller.

An MPC controller technique integrates feedback control performance better than methods commonly used today in MPC type controllers, resulting in an MPC controller that performs better than traditional MPC techniques in the presence of process model mismatch. In particular, MPC controller performance is enhanced by adding a tunable integration block to the MPC controller that develops an integral component indicative of the prediction or other control error, and adds this component to the output of an MPC controller algorithm to provide for faster or better control in the presence of model mismatch, which is the ultimate reason for the prediction error in the first place. This technique enables the MPC controller to react more quickly and to provide better set point change and load disturbance performance in the presence of model mismatch, without decreasing the robustness of the MPC controller.

The present invention provides a dynamic model directed angiography three-dimensional reconstruction method, pertaining to an intersectional field of digital image processing and medicine imaging, for satisfying special requests of auxiliary detection and surgery guidance for cardiovascular disease in clinical medicine. The invention includes steps of angiography image preprocessing, vascellum segmentation, vascellum skeleton and radii extraction, model directed vascellum base element recognition, vascellum matching and vascellum three-dimensional reconstruction. The invention also provides a cardiovascular dynamic model construction method including steps of cardiovascular slice data extraction, cordis static and dynamic model building, and static and dynamic model building. According to the invention, good angiography three-dimensional reconstruction result may be obtained, which effectively assists detection and surgery guidance for cardiovascular disease, thereby satisfying clinical requests.

A method and an apparatus for tracking an object are disclosed. The method includes determining a first position by a first tracking template and determining a second position by a second tracking template, the first and second tracking templates being formed based on first and second feature sets, respectively, the first feature set being different from the second feature set, and the first feature set and the second feature set including one or more features; and determining a final position based on the first position and the second position, wherein the first tracking template is updated for each of a predetermined number of frames, the second tracking template is updated based on a predetermined rule, the second tracking template and the first tracking template are independently updated, and the update frequency of the second tracking template is lower than the first tracking template.

A vehicle is provided with: an EPS a VGRS actuator as a rudder angle varying device; and an EPS actuator as a steering torque assisting device. In following a target driving route, a LKA target assist torque TLK is outputted from the EPS actuator on the basis of target lateral acceleration GYTG. On the other hand, in order to suppress the steering of a steering wheel by the assist torque, which is against a driver's will, steered wheels are steered by the VGRS actuator, excessively by a LKA correction target angle θLK. At this time, it does not influence a relation between a steering angle and the rotation angle of a lower steering shaft. Thus, the following for the target driving route is realized without reducing the robustness of the vehicle with respect to the driver's steering.

The invention belongs to the technical field of optical storage combined power generation system virtual inertia compensation, and relates to a virtual inertia compensation method for an optical storage combined power generation system based on active support control. The method comprises: modeling a photovoltaic power generation system, analyzing the virtual inertia of the optical storage combined power generation system, and including inertia analysis of a photovoltaic-energy storage system. The active support control strategy based on the standard three-order model of the synchronous machine is adopted for the photovoltaic power generation unit, the port characteristics of the synchronous generator are better simulated, necessary inertia and damping are provided for the system, the voltage stability support capacity and the frequency stability support capacity of the system after photovoltaic grid connection are improved, and the robustness of the system is effectively improved. According to the invention, the low-frequency oscillation suppression capability of the photovoltaic-energy storage combined system can be enhanced, the system stability is improved, and the new energy photovoltaic absorption capability of the power grid is further promoted.

A multithread processor including: an execution unit including a physical processor; and a translation lookaside buffer (TLB) which converts, to a physical address, a logical address output from the execution unit, and logical processors are implemented on the physical processor, a first logical processor that is a part of the logical processors constitutes a first subsystem having a first virtual space, a second logical processor that is a part of the logical processors and different from the first logical processor constitutes a second subsystem having a second virtual space, each of the first and the second subsystems has processes to be assigned to the logical processors, and the logical address includes: a first TLB access virtual identifier for identifying one of the first and the second subsystems; and a process identifier for identifying a corresponding one of the processes in each of the first and the second subsystems.

The invention discloses a motion estimation method based on image features and three-dimensional information of a three-dimensional visual system. The method includes the first step of obtaining two-dimensional image information and space three-dimensional information corresponding to two-dimensional image pixels in real time on the basis of the three-dimensional visual system, the second step of controlling collection intervals between adjacent frames through the adoption of an adjacent frame sampling interval self-adaptive regulation method and automatically regulating the sampling intervals of the t+1 moment relative to the t moment according to the dot pair number of the effective matching image features between the frame at the t-1moment and the frame at the t moment, and the third step of synthesizing two-dimensional scene image features and three-dimensional point cloud information and carrying out three-dimensional motion estimation according to the matching point pair number of the current two-dimensional image features of the adjacent frames to obtain high-precision three-dimensional motion estimation. Through the method, on the basis of satisfying accuracy and reliability of the three-dimensional estimation, the calculated amount is effectively reduced, and the method has the advantages of being less in calculated amount, small in limitation to an application scene and the like.

The invention discloses an automatic recovery method for a blockchain consensus node. The method comprises the following steps that: 1) after crash, a reconnection node broadcasts an initial recovery message and obtains the check point information and the block height of other nodes; 2) the reconnection node receives the reply information of other nodes and counts the check point and the block height of a sender; 3) a target node is found, and the check point information, the block height and the block Hash of the target node are obtained; 4) the reconnection node carries out state transition and is recovered to the check point height of the target node; 5) the reconnection node asks for the message of PQC (Process Quality Control) from the target node; and 6) the reconnection node receives the PQC information returned from the target node, carries out normal consensus processing and repeatedly executes S5) and 6) until the height of the reconnection node block is recovered to normal node height. By use of the method, the problem that crash node reconnection is slow in a traditional PDFT (Practical Byzantine Fault Tolerance) consensus process is solved, and a quick reconnection method for the crash reconnection node on the blockchain is put forward.

A system and methods for inferring a local engine temperature based on various engine conditions input to a dynamic model are disclosed. In the example system provided, an inferential temperature sensor uses a trainable model to estimate a local metal temperature in an exhaust valve bridge of a cylinder head which thereby allows closed loop control of a coolant flow device independent from engine speed, engine state, coolant flow state or system temperature. In response to estimated local metal temperatures, the methods described further allow thermal management of the engine system to be optimized.

An improved belt-clip holder for various objects is disclosed. The holder may be of unitary construction and includes a belt-clip for securely attaching the holder to a user's belt or other suitable item. The unitary construction reduces the cost and complexity of the holder. The holder has front, back and side panels to hold and protect an object, such as a dipping tobacco tin, or a group of objects, such as a group of credit cards. The holder also may have bottom panels in some embodiments. A retainer, having an integral retaining lip, secures the held object or objects in the holder. A cavity formed by the lower edges of the front, back, and side panels, allows a user to push a held object upward in order to remove the object from the holder. The retainer is configured so that a user my disengage the integral retaining lip using the same hand used to push the held object upward via the cavity. In this manner, the holder allows for the secure retention of an object within the holder, and also for easy, single-handed, removal of the object by a user when such removal is desired.

The invention discloses a multi-focus image fusion method. The method comprises the steps of firstly carrying out robust principal component analysis on a multi-focus image to obtain a spare component matrix corresponding to a source image, then weighting and averaging the sparse component matrix to obtain a temporary spare component matrix and carrying out quadtree decompression on the temporary sparse component matrix, calculating the gradient energy of matrix subblocks corresponding to the sparse component matrix of the source image according to QT decompression results and comparing the gradient energy to construct a fusion decision matrix, and finally combining the image subblocks corresponding to the source image according to the decision matrix to obtain a fusion image. The method solves the problem that image blocks cannot be divided in a self-adaptive mode by combining RPCA with QT decompression, can effectively restrain block effects and improves the image fusion quality.

The invention discloses a method for selecting a vehicle-borne mobile ad hoc network router based on direction information, and belongs to the ad hoc network router research field. The method is characterized in that the router establishment stage includes the following steps: when receiving a routing request message, a node determines whether the node is a target node; when the node is not the target node, a direction determination strategy is employed; only when the self-travel direction and the direction deviation marked by an RREQ is in a tolerate range, the self routing table is just examined; and whether the RREP is replied to or an RREQ data packet is forwarded to a source node is adjusted according to whether the node has the effective router reaching the target node, wherein when the data packet is forwarded, the direction information in the RREQ is required to be updated to the movement direction of the node, otherwise, the data packet is discarded. By adopting the method, the disconnection time of the router in the vehicle-carried mobile ad hoc network is greatly reduced, and the routing overhead is greatly reduced, therefore, the method is a recommendable scheme.

The invention discloses an implementation method for highly concurrent message queues. The method comprises the steps of creating a doubly linked list of an FIFO (First Input First Output) as a globalmessage queue, and a message queue thread corresponding to the global message queue; creating a global thread pool, wherein the global thread pool is provided with a certain amount of work threads and data source job linked lists; enabling the message queue thread to detect that messages exist in the global message queue, sequentially taking out each message from an egress of the global message queue to generate jobs, inserting the jobs into the data source job linked list of the global thread pool, and then broadcasting the work threads; and enabling different work threads of the global thread pool to respectively take out one job from the data source job linked list, executing callback functions of the corresponding messages according to types of the jobs to perform corresponding business processing, and respectively returning processing results to corresponding clients after completion of the execution. According to the implementation method for the highly concurrent message queues, a relatively large data request concurrent amount can be borne; after pushing the messages to the message queues, a consumer does not need to wait for return results; the response speed is improved;and the consumption of system resources is reduced.

A terminal for a Li-ion battery cell utilizes a bimetallic strip formed from the materials used as the Li-ion cell current collectors, such as copper and aluminum. The bimetallic strip is to be used as, at least one, of the Li-ion pouch cell terminals. At least one portion of the bimetallic strip has one of the metallic components removed by such means as chemical or electrochemical etching, mechanical milling, skiving, or grinding, the remaining component being connected to the collector and the other end of the strip serving as the terminal.

The invention relates to a matching method for three-dimensional coronary angiography reconstruction, which belongs to the crossing field of digital image processing and medical imaging, and aims to meet the special requirements on the auxiliary detection and the surgical navigation of angiocardiopathy in clinical medicine. The method comprises two steps, i.e. model guidance contrastographic picture vessel segment matching and contrastographic picture puncta vasculosa matching. The matching method uses a multi-scale vascular tree model so as to better guide vascular matching, simultaneously can well solve the problem of individual difference, and improves the matching precision of vessel segments and puncta vasculosa through the method of iterative matching and largest declination of searching potential energy. The matching method for three-dimensional coronary angiography reconstruction can obtain very good angiography matching results, thereby solving the difficult problems in the automatic three-dimensional reconstruction by the multi-view angiography map.

A multi-type BGA chip visual recognition method using line based clustering to solve the problems of BGA inspection algorithms which have limited applicability, low flexibility caused by template matching, poor robustness to illumination and interferences and high time complexity. The method is based on: dynamic threshold segmentation of original image, morphological and connected component labelling; BGA extraction based on grayscale connected component and building information list for all complete grayscale BGA solder balls; Building of BGA solder ball label image; local analysis to determine the coarse orientation angle of equivalent BGA array; determining equivalent BGA solder ball clusters for each row and each column and the equivalent BGA solder ball cluster for the boundary by line based clustering; obtaining an accurate orientation angle and center position of BGA chip in the original image by line fitting of boundary BGA solder ball clusters; and extracting different standard parameters of BGA chips.

The invention provides a video authentication method and device. The method comprises the following steps: generating a hash code to be authenticated of a video to be authenticated, and obtaining a reference hash code of an original video of the video to be authenticated, wherein the hash code to be authenticated comprises each frame image for the video to be authenticated, a hash code of each preset region obtained by dividing the image region of the frame image and position information representing the position of each preset region in the frame image, and the generating algorithm of the reference hash code is the same with the generating algorithm of the hash code to be authenticated; for the hash code of each preset region, when the hash code of the preset region is not matched with the hash code of the corresponding preset region in the original video, determining that the preset region is tampered, and determining the tampered position of the video to be authenticated according to the position information of the preset region. The method can improve the robustness of video authentication and accurately position the tampered position.

The invention relates to a high-definition aerial remote sensing data automatic road extraction method; the method employs an aerial remote sensing image and DSM data of a corresponding researched area for extracting ground and overground areas, constitutes streets and extracts central lines of roads via a series of morphological conversions, including open and close operation, convex set shell, concave set shell, range conversion, watershed segmentation, and the like. The central lines and border lines of roads obtained by the disclosed method are continuous curves. Comparing to the method of the prior art, the algorithms and theories are complete, the road lines are prices, the calculations are quick, and the algorithms are good in adaptability; indicated after experiments that the disclosed method is very strong in robustness with respect to road extraction.

The invention relates to a remote sensing image resolution improving and processing method based on image segmentation and a gravity model. The method comprises the steps of preprocessing an image; performing multi-scale image segmentation of the image; selecting end members to be selected by using a orthogonal subspace projection method; constructing mixed pixel models with layered end members; obtaining the percentage values of the end members in various mixed pixels by using a mixed pixel decomposition method; selecting the mixed pixel models layer by layer; obtaining an optimum mixed pixel decomposition image; converting mixed pixel decomposition images of the end members into sub-pixel images; adjusting positions of sub-pixels and ensuring the total gravitational force among all the sub-pixels to be maximum; adjusting sub-pixels in all pixels repeatedly until all pixels in the images are processed and the processing is finished; and after the processing, obtaining sub-pixel images of which the spatial resolution is improved. Compared with the prior art, the method has the advantages of being simple in method, independent from high spatial resolution, good in anti-noise performance and capable of saving plenty of time.

The invention discloses a method for suppressing harmonic vibration force of a magnetic suspension rotor, based on modified odd repetitive. The method establishes a magnetic suspension rotor dynamic model with mass imbalance and sensor harmonics, and then a method of suppressing harmonic vibration force of the magnetic suspension rotor, based on an MORC (Modified Odd Repetitive Control) controlleris adopted. The MORC can accurately suppress the harmonic vibration force, and can accelerate the dynamic process of suppression. At the same time, the MORC can guarantee absolute stability of systemthrough a phase compensation mode. The method for suppressing harmonic vibration force of a magnetic suspension rotor, based on modified odd repetitive control has the advantages of being simple in the odd repetitive controller structure, being very convenient to use in practical application, being able to suppress the harmonic vibration force in the magnetic suspension rotor, and being suitablefor suppression of harmonic vibration force of the magnetic suspension rotor system with mass imbalance and sensor harmonics.

The invention discloses a complex industrial process data modeling method based on a dynamic convolutional neural network. The method comprises the following steps: process variables with strong correlation with industrial process objective variables are selected, and through sampling, a time sequence for each process variable is obtained; an equal depth box plot is used to carry out abnormal point detection and elimination on the time sequences, and a linear interpolation method is then used for filling; the time sequence for each process variable in a former process time delay range at the sampling moment of the objective variable is extracted, a two-dimensional matrix containing dynamic characteristics of the process is formed, and picture samples are formed; and the dynamic convolutional neural network is built to analyze the dynamic characteristics of the industrial process data, the time and space relation of each sensitive variable is recognized automatically, and a prediction model for the objective variable is built. A large amount of historical data accumulated in the actual production process field is used, a data model of predicting an unpredictable objective variable by using a predictable process variable is built accurately, and an important role is played in online production process evaluation, dynamic adjustment and even energy conservation and emission reduction.

An endoscope system includes: a phosphor and first and second blue laser light sources that emit first white light and second white light having different emission spectrums; a sensor that images an observation target under illumination with the first white light and outputs a first image signal and images the observation target under illumination with the second white light and outputs a second image signal; a movement amount calculation unit that calculates the movement amount of the observation target based on the first or second image signal; and an oxygen saturation calculation unit that calculates the oxygen saturation based on the movement amount in at least one of a first mode, in which the oxygen saturation is calculated using the first and second image signals, and a second mode, in which the oxygen saturation is calculated using the first image signal.

The invention relates to a sun vector resolving method based on a compound eye simulated multi-channel polarization sensor. The sun vector resolving method comprises the following steps: at first, designing a structure model of the compound eye simulated multi-channel polarization sensor; then designing the selection criterion of the degree of polarization, acquiring the degree of polarization information of observed points in sky by using the multi-channel polarization sensor, and selecting the degree of polarization measurement values of a certain amount according to the selection criterion,taking three values from the degree of polarization measurement values as a set of resolving inputs and determining the weight of the set of resolving inputs; next, establishing the geometrical relationship with sun vectors according to each channel mounting matrix, establishing the constrained relationship with all skylight maximal degree of polarization by measuring the degree of polarization to obtain a system of nonlinear equations; and at last, resolving corresponding sun vectors of the set of resolving inputs by the system of nonlinear equations, and resolving weighted average on the multiple groups of sun vectors, so as to resolve the sun vectors in a module system. The sun vector resolving method can be used in sunny and cloudless weather, can be applied in cloudy weather environment at the same time, and has high robustness and environmental suitability.

A method is presented for identifying anomalies based on the dissimilarity and similarity between multivariate samples. A step like procedure applies Dissimilarity- and Similarity computation in a sequenced fashion that considers variable variance, variable correlation and variable distribution pattern of the samples. The spatial interdependency of samples is assessed to deduce the nature of the anomaly. Similarity computation of samples is used to identify weak anomalies that are difficult to detect by conventional exploration methods.

The present invention provides a road traffic sign detection and identification method. The method comprises the steps of: extracting a region of interest; performing multi-scale sliding traversal; merging image features; and identifying a traffic sign. The method specifically comprises: performing extraction of a region of interest of the traffic sign on an input to-be-detected image; convertingthe to-be-detected image into a gray-scale image; constructing a binary mask image of the region of interest of the traffic sign; performing multi-scale sliding traversal on the gray-scale image and the binary mask image to obtain position coordinates of a detected target; merging the extracted local texture features, local image region features and global features of the to-be-detected image; andclassifying and identifying the merged image features by using a classifier. The present invention relates to an electronic device and a readable storage medium for performing the road traffic sign detection and identification method; and the present invention also relates to a road traffic sign detection and identification system. The technical scheme of the present invention has a high detection rate, a high identification rate, a fast calculation speed, a low false detection rate and good robustness.

The invention discloses a park power system net load combined prediction method based on adaptive error feedback, and the method comprises the steps: determining sample data according to a to-be-predicted date, and carrying out the abnormality recognition and data preprocessing; adaptively selecting characteristic indexes; training various methods based on the similarity set, and selecting an individual prediction model under the evaluation system; respectively combining the selected individual prediction models, performing combined regression on each independent prediction value by using a particle swarm optimization-least square support vector machine algorithm, and comparing an error with an actual historical training value to obtain a fitted optimal variable weight; and finally, executing an adaptive combined prediction method based on historical data. According to the method, the accuracy of predicting the net load of the park power system can be improved, and the method is more reliable and effective than an individual prediction method.

The invention discloses a multi-feature complex lane line extraction method based on the visual sense. The multi-feature complex lane line extraction method comprises following steps: (1) camera calibration; (2) perspective transformation correction; (3) image filtering and interest point extraction; (4) fast LSD line detection; (5) false lane line elimination and merging; (6) left and right boundary searching; and (7) lane line information extraction. The multi-feature complex lane line extraction method is advantaged in that the problem that in a complex scene, lane line extraction is poor in real-time performance and low in robustness is solved, relatively-high performances are obtained in two challenging data sets of Caltech and SLD, the average precision of the lane line extraction integrity reaches 92%, the average operating time of a single frame is 35 ms, and the effectiveness of the multi-feature complex lane line extraction method is fully verified.

The invention discloses an automatic tracking method along the line for electric transmission line routing inspection, and comprises an automatic tracking system along the line for the electric transmission line routing inspection. The system comprises a video collection module, a traverse detection module, a traverse tracking module, a video segmentation module and a storage / transmission moduleand adopts a tracking method of video collection, traverse detection, traverse tracking, pole and tower video segmentation and data storage or transmission to obtain the automatic tracking of the electric transmission line routing inspection. By use of the method, the interference of a background line segment for traverse detection can be effectively reduced so as to favorably adapt to illumination changes and the dynamic regulation of camera focal length in a routing inspection process, segmented storage or transmission drastically improves the efficiency and the accuracy of subsequent defectidentification, and the problems of the interference of a background line segment of a traverse detection process, traverse tracking deviation even failure caused by illumination changes and scale changes in a traverse tracking process and low rate and efficiency of the subsequent defect identification can be solved.

The invention discloses a hybrid transmission method of joint Doppler compensation in a large-scale MIMO (Multiple Input Multiple Output) high-speed moving scene, and specifically aims to solve the problems of Doppler shift, high computational complexity, low throughput and the like in large-scale MIMO high-speed railway communication. The method comprises the following steps: acquiring initial channel state information; acquiring an actual angle of arrival and a beam gain of an incident signal according to beam alignment; estimating the Doppler frequency shift, designing an angle-domain beamshaping matrix, and compensating for uplink and downlink frequency offset; performing channel tracking; designing a beam-domain beam-forming matrix to eliminate the interference between upstream and downstream users; and performing data transmission. The hybrid transmission method of joint Doppler compensation has the characteristics of compensating for the Doppler shift, reducing pilot overhead,improving system throughput and the like for the large-scale MIMO high-speed moving scene. The method can be well applied in a wireless communication scene.