195results about How to "Achieving Adaptiveness" patented technology

The present invention discloses a road detection algorithm of fusion of area and edge information. The algorithm comprises: collecting road image, and employing self-adaption median filtering and noise reduction to obtain enhanced images; selecting the R component of the enhanced images in the RGB color space, employing a maximum between-cluster variance (Otsu) method to realize the road area segment of the images to obtain a binary segmentation image, and optimizing the binary segmentation image through adoption of the serial mathematical morphology; detecting the binary segmentation image through adoption of the optimal edge detection Canny detector to detect the binary segmentation image and obtain the road edge detection information, and employing the Otsu method to calculate the dual threshold in the optimal edge detection Canny detector; and employing the binary segmentation image and the road edge detection information to obtain a road border line in the image. The road detection algorithm of fusion of area and edge information employs the image processing technology to detect and extract the road information for the autonomous navigation system of a cable tunnel robot; and moreover, the road detection algorithm of fusion of area and edge information is a self-adaption road border line segmentation fusion method and can obtain a smooth and accurate road edge.

Disclosed is an operation cross-domain control method in a grid computing environment; the method uses a trust mechanism to realize the operation control in the grid environment, makes trust evaluation to the available resources in the grid, analyzes the operation to be processed, and uses a mobile agent to transfer the operation to an appropriate resource for execution, according to the information provided by a control system in the grid. The proposal overcomes the disadvantages of poor reliability, non-guaranteed response time, over-long running time on the resources and imperfect fault management in other operation control proposals, and can achieve self-adaptation to the resource and operation control in the grid, reduce the grid traffic and improve the utilization rate of the network to form an operational parallel solution, thereby achieving the purpose of improving the utilization efficiency of grid resources and the execution efficiency of grid computing, speeding up the execution of tasks and improving the accuracy of the results so as to enhance the processing efficiency of distributed systems.

The invention relates to a method for monitoring the running state of an industrial glue spread robot based on a digital twin technology. Compared with the prior art, the method has the effect of resolving the defect that the running state is hard to predict for the industrial glue spread robot. The method comprises the following steps of obtaining the running state data, collected by a sensor, ofthe industrial glue spread robot; preprocessing the running state data of the industrial glue spread robot; establishing a driving model of digital twin equipment; evaluating the running state of theequipment preliminarily; correcting the driving model of the digital twin equipment; and monitoring the running state of the industrial glue spread robot. According to the method, by using the equipment running model driven by digital twin, the real-time evaluation of the running state of the industrial glue spread robot is achieved, so that more accurate operation suggestions and maintenance suggestions are obtained; and the effective management of the life cycle of equipment operation is achieved.

The invention discloses a self-adaptation camouflage design method based on a background. According to the method, on the basis of a texture synthesis algorithm based on pixels, a whole camouflage image is synthesized pixel by pixel; in the synthesis process, a self coding algorithm is adopted to extract a texture primitive containing background sample complete texture features, and a neighborhood of the pixels to be synthesized is determined; by means of the neighboring correlation principle and a helix supplement search mechanism, a neighborhood matched with a target pixel neighborhood is searched for in a background sample; similarity matching is carried out through a pixel and texture similarity matching rule, pixels in the neighborhoods which are most similar in the sample are selected to serve as synthesis pixels, pixels of a target image are synthesized according to the sequence of scanning lines, and after synthesis, color quantization is carried out on the image by means of the clustering algorithm to generate a final camouflage image. By means of the method, similar camouflage images can be synthesized quickly according to the background, and the application aim of quickly camouflaging a target in a self-adaptation mode can be achieved.

The invention provides an energy prediction based energy management method of a plug-in hybrid electric vehicle. The method comprises the following steps: vehicle running route information is transmitted to a remote monitoring platform; the remote monitoring platform calculates out road vehicle weather data; the remote monitoring platform transmits the road vehicle weather data to a hybrid control unit (HCU); the HCU obtains state of charge (SOC) of a storage battery through a CAN bus; the energy demand of a vehicle running condition section is predicted through a neural network; a SOC reference trajectory is planned online; the automatic tracing optimal equivalence factor of the SOC reference trajectory is calculated out; the demand power of the vehicle and the current speed of the vehicle are calculated out; the optimal control vector is calculated out according to table look-up based on principle of minimum; all power sources in a hybrid power system are ordered so as to realize energy optimization control. Through the method disclosed by the invention, the approximate energy optimization control of the hybrid electric vehicle is realized, and the method has the characteristics of being self-adapted to conditions, good in economy, and easy to realize on actual vehicles.

The invention belongs to the field of medical image processing, and relates to a self-adapting shaded-area detail reproduction method for a tongue image with sufficient root-part illumination. The invention is provided aiming at tongue images with sufficient root-part illumination. According to the invention, under a condition of a same light source, positions of a shooting device and a shooting object are fixed; exposure times are changed, such that a set of tongue images with different exposures are obtained; the shooting device is subject to response curve estimating with a camera radiation calibration algorithm; according to an obtained three-channel response curve, tongue image sequences with different exposures are synthesized; irradiance values of all pixels of the synthesized tongue image are obtained; through tone mapping, the synthesized tongue image data is mapped to a common displaying device, such that the tongue image is displayed. During the mapping procedure, self-adaptation of the tongue image is achieved, and detail reproduction of tongue-roots with sufficient illumination is realized. With the method, mapping of the synthesized tongue image can be realized, such that details of tongue-roots with sufficient illumination can be reproduced. Therefore, light area and shaded area information of a real tongue can be better reproduced, and objectivity of traditional Chinese medicine tongue inspection can be promoted.

The invention relates to an infrared thermal imager and a method for detecting an infrared objective image by using the same. The infrared thermal imager comprises an infrared optical system, an imaging circuit component, a driving circuit and a monitor, wherein the infrared optical system comprises a varifocal objective; and a refrigerator projection screen, a combination optical mirror and an infrared detector are sequentially arranged behind the varifocal objective. The method for detecting the infrared objective image by using the infrared thermal imager comprises the following steps of: focusing an image of a scene; scanning the image; focusing, and converting an electric signal; and correcting temperature in real time, and controlling. The invention has the advantages that: the infrared thermal imager is smart in structure, simple and convenient to operate, quite high in reliability and accurate in temperature control; the problem of temperature difference between a reference calibration source and the scene in the prior art is solved; effects of real-time performance and self-adaptation in correction of the current scene are good; the uniformity of the corrected image is guaranteed; a correction effect is greatly improved; and the quality of the image is high.

The invention is a method for implementing operation scheduling in network environment by mobile agent, for a to-be-processed operation in the network, using resolving agent to resolve it, depending on management system-provided information in the network and using the mobile agent to migrate it to a proper resource for executing. And the solution can implement self-adpating to resources and operation management in the network, reduce network communication quantity and raise network utilization ratio, and concurrently find the solution of operation, so as to achieve the target of raising network resource utilization ratio and network calculation executing efficiency, and speed up task executing and thus raising the processing efficiency of a distributed system.

The invention provides a method and a device for image defogging. The method combines a dark channel prior method and has better image defogging effects. The method includes: performing edge detection to a fogged image; blocking the fogged image to allow each image block to satisfy the condition that proportion of edge point number in the image to total pixel point number of the image block is in a preset threshold; and using the dark channel prior method to perform defogging calculation to the fogged image according to the blocks.

The invention discloses an unbalanced power adaptive optimization allocation method for a multi-end linear system. The method employs a dual-layer control structure comprising a primary sag control layer and a power rebalance optimization layer. The power rebalance optimization layer aims at the unbalance power caused by the frequent fluctuation of a load or new energy, and an equivalent cost expression of a system additional power generation cost caused by the power rebalance is deduced based on a multi-end flexible DC polar coordinate equivalent model comprising a voltage source converter station, a radial multi-end flexible DC common DC reference voltage is introduced, and a novel active power-DC voltage sag curve is designed. The proposed method irons out the defects that the conventional optimization control strongly depends on the high-speed communication and a centralized processing layer. The method can enable the white balance power to be adaptively and economically allocatedunder the normal condition, enables the additional power generation cost of a system to be remarkably reduced, still can maintain the DC voltage stability and power balance under the fault condition,and is remarkable in control effect.

The invention relates to a quantization offset information determination method, an image coding method and a device and electronic equipment, and relates to a video coding technology, and the methodcomprises the steps: obtaining a current image frame, and segmenting the current image frame into a plurality of image blocks according to a preset image size; for each image block, determining initial quantization offset information of the image block and content complexity information of the image block, wherein the content complexity information is used for representing the complexity degree ofimage content in the image block; and adjusting the initial quantization offset information according to the content complexity information to obtain target quantization offset information of the image block. Therefore, the image content condition of the corresponding image block is combined; according to the method, the quantization offset information corresponding to the corresponding image block is adaptively determined according to the quantization offset information of each image block, adaptive adjustment of the quantization offset information is realized, and subsequent coding based onthe quantization offset information corresponding to each image block is facilitated, so that the compression efficiency is not lost while the distortion of the image is reduced.

The invention discloses a mixed measurement-based video data panoramic imaging method, belongs to the field of image processing, solves the problems of low execution efficiency, low panoramic imaging precision and the like of the conventional panoramic imaging algorithm aiming at registering and splicing two images during processing the video data, and provides a mixed measurement-based panoramic imaging method. The method comprises the following steps of: 1, sampling to acquire a registration frame image; 2, sampling again to acquire the frame image to be registered; 3, performing effectiveness evaluation; 4, acquiring a registration parameter; 5, judging whether a transverse registration displacement and a longitudinal registration displacement exceed a threshold range respectively; 6, splicing the registration frame image of which the registration parameter is acquired and the frame image to be registered by using a tapered slot weighted fusion method, taking the spliced image as a next registration frame image, returning to the step 2 and performing the next image sampling, splicing until the video data sampling process is over and exiting the circulation to finish the splicing process of a panoramic image.

The invention provides an RSSI (received signal strength indicator) distance measuring method based on a cost-reference particle filter. The method comprises the following steps of: arranging anchor nodes in an indoor environment, and planning a moving path of a mobile node; enabling the mobile node to move according to the planned path, and acquiring data packs sent by different anchor nodes at each predetermined position; performing Gaussian filter preprocessing on the data packs acquired at each position; and performing cost-reference particle filter processing on the data after preprocessing so as to estimate the distance between the anchor nodes and the mobile node. The method provided by the invention improves the present situation that distance measurement requires a lot of priori experiments to fit models, is suitable for a situation with unknown noise in a wireless signal transmission attenuation process, and has the characteristics that a latest observed value is used for sequential estimation, and real-time adaptive adjustment is performed according to environmental data; adaptive fading factors are introduced to dynamically adjust the influence degree of history observed values on an estimation process; a loop-locked adjustment strategy is adopted to calculate feedback coefficients, enhance system robustness, and improve the precision of distance measurement.

The invention discloses a self-adaption cross-page seal stamping mechanism used in a multi-seal stamping machine. The self-adaption cross-page seal stamping mechanism structurally comprises a vertical pressing seal head drive device positioned on a rack and a seal body assembly limited on a station disc, and a drive pressing handle in the seal head drive device makes contact with a driven rod in the seal body assembly. The self-adaption cross-page seal stamping mechanism is characterized in that the station disc is limited in a designed station position by means of a rotating shaft and has 2-5 degree rotating and swing freedom, the lower end face of the drive pressing handle in the structure of the seal head drive device is a plane or arc convex surface, and the upper end face of the driven pressing rod in the seal body assembly is an arc concave surface. The self-adaption cross-page seal stamping mechanism is ingenious in design and simple and reasonable in structure, the seal body assembly and the station disc can perform low-amplitude self-adaption deflection to stamp a cross-page seal when an automatic stamping machine meets a slope, and in the actual work process, the self-adaption cross-page seal stamping mechanism not only can reduce workloads of working staff, but also can effectively improve working efficiency.

The invention relates to a fuzzy kernel clustering method for self-adapting preferred naphtha attribute clustering numbers based on Gaussian nucleation validity indexes. The density and distance based initial clustering center selection method successfully solves the problems that fuzzy kernel clustering methods are sensitive to initial values, the operation speed is low and the implementing time is long. According to the method, a density measurement method is defined to select data objects with high densities to serve as initial clustering centers, the problem that the method is sensitive to initial values is effectively solved, and simultaneously, a two-dimensional array is set to store distances among naphtha attribute data, so that the calculation time is greatly shortened, and the clustering efficiency is improved.

A peer-to-peer communication and file transfer method oriented to wide area networks comprises the following steps that: (1) the network position of a user is judged, and the communication mode is judged according to the network positions of an initiating side and a receiving side carrying out network communication; possible situations are as follows: communication among users in the same internal network, communication among users in public network, communication initiated by internal network users to public network users, communication initiated by public network users to internal network users, communication among users in different internal networks; (2) if the communication mode belongs to the communication among users in the same internal network, the communication among users in public network or the communication initiated by internal network users to public network users, the TCP protocol 'three-way handshake' mechanism is adopted to establish connection; if the communication mode belongs to the communication initiated by public network users to internal network users or the communication among users in different internal networks, the NAT/NAPT penetration method based on UDP protocol is adopted to establish connection; (3) communication or file transfer is carried out after successful connection. The present invention realizes the peer-to-peer communication and the file transfer for wide area network users, and has good self adaptability and transfer reliability.

The invention discloses a power amplifier circuit, a control method and an earphone system. The power amplification circuit is used for driving an earphone, and comprises an earphone working parameter detection module used for detecting a working parameter of the earphone; a signal output module used for outputting signals to the earphone; and a signal processor used for determining whether an earphone leak exists according to the working parameter of the earphone detected by the earphone working parameter detection module, and changing the signals output to the earphone by the signal output module when the earphone leak exists. The power amplifier circuit provided by the invention can also achieve good sound effect and self-adapting effect in the case that a user wears the earphone improperly, and in addition, can also prompt that the user wears improperly and adjust a wearing angle and a wearing position via warning sound or by a mode that a playing terminal displays a leak detection result, and thus the earphone can achieve better use effect.