40results about How to "Avoid rescanning" patented technology

The invention provides an electric vehicle charging method and device based on a two-dimensional code. The electric vehicle charging method based on the two-dimensional code comprises the following steps of scanning the two-dimensional code on a charging pile and judging whether user authentication is finished or not; if the user authentication is finished, judging whether a charging working task exists for the user or not; if the charging working task exists, further judging whether information of the charging pile in the charging working task is consistent with the scanned information of the charging pile or not; if the information are consistent with each other, displaying a charging page; and if the information are inconsistent with each other, displaying a charging pile information page. The electric vehicle charging device based on the two-dimensional code comprises a two-dimensional code scanning module, a user authentication module and a working task judging module and is used for realizing the charging method. According to the electric vehicle charging method and device based on the two-dimensional code, the user can clearly know the current charging state; for example, the user can know whether the two-dimensional code is rescanned or not and whether the charging is going to be finished or not.

The invention belongs to the technical field of network security, and specifically relates to a web vulnerability scanning method, the method comprises the following steps: crawling a URL of a to-be-scanned website and storing the URL in a to-be-scanned queue, performing web fingerprint identification for the URL in the to-be-scanned queue to obtain fingerprint information of the website, callinga scanning tool corresponding to the fingerprint information of the website to scan the to-be-scanned website, wherein, aiming at a periodical scanning task, whether a page is changed is judged through calculating whether a MD5 value of the current page is identical to the MD5 value recorded last time, if the page is not changed, scanning again is not needed, a lot of time can be saved, meanwhile,before scanning a to-be-scanned task, firstly fingerprint identification is executed for the URL, thus, the fingerprint information corresponding to the URL is obtained, a plugin corresponding to thefingerprint information is called to scan the page, calling all the plugins to scan each task is avoided, and a lot of time is saved.

The invention discloses a frequency sweeping method and device for a small bandwidth communication system. A to-be-swept band is divided into a plurality of subbands according to system performance; frequency points in each subband are determined according to the minimum bandwidth of a system; FFT operation, slide accumulation operation and grid deviation accumulation operation are carried out ontime domain signals according to fixed gain; and after power distribution of all frequency points on the to-be-swept band are obtained, whether to adjust gain values to recalculate the power of each frequency point is decided according to a threshold demand. All frequency points of which power satisfying the threshold demand are screened according to the method, namely, all resident frequency points are obtained. According to the method and the device, the collected time domain signals are processed according to the fixed gain; the AGC (Automatic Gain Compensative) convergence time does not need to be reserved; and the integrated data processing time is greatly reduced. According to the method and the device, the frequency point distribution in each subband is determined according to the minimum bandwidth of the system and the power of each real frequency point is directly calculated in an bandwidth mode, so the sweeping omission condition resulting from the fact that calculated central frequency points are not the real frequency points is avoided.

The invention discloses a medical imaging system which comprises an examination module, a control module and a data collection module. The examination module is used for loading a scanning protocol; the control module is used for controlling the examination module to scan a bed according to the scanning protocol based on a scanning request given by the examination module and controlling the data collection module to collect scanned data; after scanning is interrupted, the control module is used for controlling the data collection module to delete the bed collected data of the bed where interruption happens and controlling the examination module to start scanning from the bed where the interruption happens. The invention further discloses a medical imaging method. When scanning is recovered after being interrupted, the scanning is started from the bed where interruption happens, thus, repeated scanning caused by the situation that scanning should be started from the first bed after being interrupted in the prior art is avoided, scanning time can be saved, the burden on a patient can be reduced, and hardware disk space can be saved.

The invention discloses a self-adapting-based network port fast scanning method. According to the method, through mutual self-adaptive learning of IP addresses and ports, newly found IP addresses or newly found ports are updated and scanned, and repeated scanning is avoided. On the one hand, the number of detected messages can be reduced greatly, meanwhile, the conditions of the IPs and the ports opened in the network can be found to the maximum extent, and the subnet scanning speed is greatly increased. Once it is found that a loophole port happens to a certain host, it is likely that the host has other loophole ports under general conditions, under the condition that one loophole is found, self-adaptive learning can be performed, all the ports where the loopholes may exist of the host IPs which can be attacked easily can be found in time, all the other loopholes of the IPs of the whole network can be detected by just finding any one IP loophole, and threatening loopholes probably existing in the network can be scanned in time.

The invention discloses a magnetic resonance multi-contrast image reconstruction method and device. The method includes the following steps: collecting magnetic resonance signal data at N contrasts, wherein the magnetic resonance signal data includes signal data reflecting organizational structure information and signal data reflecting independent contrast information at each contrast; carrying out image reconstruction according to the signal data reflecting independent contrast information at each contrast to get contrast information images; carrying out image sharing information joint reconstruction according to the signal data reflecting organizational structure information to get a shared organizational structure information image of a multi-contrast image; and combining each contrastinformation image with the shared organizational structure information image of the multi-contrast image to generate an initial image at each contrast. The method not only can avoid repeated scanningof organizational structure information and save scanning time, but also can improve the accuracy of reconstructed images.

The invention relates to a high-efficiency online batch antivirus system and a high-efficiency online batch antivirus method of a virtual machine. Three privately-owned tables are maintained for each virtual machine creatively, information of programs which are safe, doubtable and required to be terminated after judgment is stored in each privately-owned table; when the safety of the program is required to be judged, the tables are looked up; if the matched program exists, the same treatment as that to the matched program is carried out, so that rescanning to the same program in the same virtual machine is avoided; a common table is maintained for all virtual machines, the program information and scanning information, scanned by antivirus software, are stored in the common table, the common table is looked up when judgment needs to be carried out on the safety of the program and the program does not need to be in the private meter of the current virtual machine, and the treatment is performed according to the scanning result of the matched program, so that rescanning to the same scanned program in different virtual machines is avoided; the antivirus software is called for the programs which are failed to look up in the privately-owned tables and the common table for scanning to achieve the purpose of high-efficiency online batch antivirus.

The invention discloses a mobile circumferential scanning control device and control method, mobile circumferential scanning equipment, and an unmanned vehicle. The mobile circumferential scanning control device is used in the mobile circumferential scanning equipment. The mobile circumferential scanning equipment includes a mobile platform and scanning equipment fixedly arranged on the mobile platform. The smallest scanning distance of the scanning equipment is L1, and the largest scanning distance is L2. The mobile circumferential scanning control device includes a first control module usedfor making the scanning equipment carry out circumferential scanning at a set circumferential scanning angular velocity omega relative to the mobile platform, a second control module used for making the mobile platform translate at a set translational velocity v so as to drive the scanning equipment to translate at the translational velocity v, and a main control module used for associating and restraining the translational velocity v and the circumferential scanning angular velocity omega in such a way that the translational distance of the mobile platform is Delta L when the scanning equipment completes 360-degree circumferential scanning, wherein Delta L=L2-L1. Repeated scanning can be avoided. The running speed of the platform and the overall working efficiency can be improved while the effect of circumferential scanning is ensured.

The invention discloses an intelligent management system for a second-level warehouse of goods and materials. The intelligent management system comprises an information acquisition end, a database and a management terminal; the information acquisition end comprises a code scanning acquisition module, an image acquisition module and a warehouse-in and warehouse-out selection module; and the management terminal comprises a data processing module, and the data processing module receives and judges the information sent by the information acquisition end, performs feature extraction on the information to form corresponding ex-warehouse data elements, and updates the database. According to the intelligent management system for the second-level warehouse of the goods and materials, the management work of managers on the goods and materials of the second-level warehouse is simplified, meanwhile, multiple scanning warehouse-in and warehouse-out modes are achieved, and the applicability of the system is improved.

The invention belongs to the technical field of a scanning detection technology, and discloses a multiple-light source scanning detection method. The surface of a sample bench is distributed in a circle shape; the number of the light sources is two, the two light sources enable linear arrangement, and are superposed with radius of the sample bench; the sample bench rotates by surrounding a center of a circle at a constant angular velocity; when the sample bench rotates by surrounding the center of the circle at the constant angular velocity, the sample bench moves horizontally along the arrangement direction of the light sources at the constant linear velocity. The method increases the scanning efficiency and stability as well as increases the positioning precision.

The invention discloses a top-k adaptive comparison mode mining method based on an incomplete network tree, can be used for feature extraction of multi-class sequences by mining a top-k adaptive comparison mode, and belongs to the field of sequence mode analysis of data mining. According to the method, the problem of support degree calculation of a non-overlapping adaptive comparison mode is solved by utilizing an incomplete network tree structure, and the super-mode support degree is solved through the support degree of the sub-modes, and therefore redundant calculation is prevented; a contrast priority mining strategy, a Zero pruning strategy and a Less pruning strategy are adopted to reduce generation of candidate modes, and time complexity and space complexity are reduced. According tothe method, a user does not need to give a minimum support degree threshold value and a gap constraint, the self-adaptive comparison mode mining is realized, the setting of the minimum support degreethreshold value and the gap constraint is prevented, the problem that the mining efficiency and the result completeness are difficult to consider in the comparison mode mining process in the prior art is solved, and the sequence classification precision and the interpretability of the classification model are favorably improved.

The invention provides a Mesh neighbor scanning method and device. An AP firstly determines at least one channel corresponding to a first bandwidth supported by the AP, and then channels which are notincluded in a scan forbidden list in the at least one channel are used as to-be-scanned channels; when the Mesh neighbor is not scanned from the to-be-scanned channels, the to-be-scanned channels areadded to the scan forbidden list to avoid repeated scanning of the same channel, so that the channel scanning cycle is greatly reduced and the scanning efficiency is improved.

The invention provides a video scanning interrupt processing method and device, a computer readable storage medium and electronic equipment, and relates to the technical field of video processing. Thevideo scanning interruption processing method comprises the following steps: screening a plurality of videos to be scanned from a video set, carrying out scanning operation on the plurality of videosto be scanned one by one, and recording information of the videos subjected to the scanning operation; under the condition that the scanning operation is interrupted, if the scanning operation is recovered, comparing the information of the plurality of to-be-scanned videos with the recorded information, and determining the video which does not complete the scanning operation in the plurality of to-be-scanned videos; and scanning the videos which do not complete the scanning operation one by one. According to the invention, the repeated scanning can be avoided, and the video scanning efficiency is improved.

The invention belongs to the measuring technical field, and relates to improvement of a scanning method for measuring a solid particle membrane with a scanning electron microscope. The scanning method comprises the following steps: fixing the membrane and adjusting parameters of the scanning electron microscope; determining scanning areas and scanning fields of the scanning electron microscope; scanning a first scanning area; scanning a second scanning area; and scanning a third scanning area. The scanning method avoids rescanning the same area, thus achieving good repeatability and high accuracy of statistical counting results.

The invention discloses a multimedia scanning method, an intelligent terminal and a device with a storage function. The multimedia scanning method comprises the steps of judging whether to-be-scannedmultimedia storage equipment and scanned multimedia storage equipment recorded in a database of a scanning system are the same storage equipment with the same storage content or not; if not, directlyperforming multimedia scanning on the to-be-scanned multimedia storage device; and judging whether the multimedia file in the scanned multimedia storage equipment is scanned or not according to the scanning state if so, and skipping the multimedia scanning of the multimedia storage equipment to be scanned. According to the multimedia scanning method, the intelligent terminal and the device with the storage function, repeated scanning can be avoided, time is saved, and user experience is improved.

The invention provides a multithread-based pattern matching method and device and an electronic device, which relate to the technical field of pattern matching. The method comprises the following steps: obtaining the text to be scanned and the identification information of the text to be scanned; Wherein, the identification information comprises the number of bytes of the text to be scanned and the starting address of the text to be scanned; Starting a plurality of threads according to the number of bytes of the text to be scanned, and assigning numbers to each thread respectively; wherein Thenumber of multiple threads is incremented in arithmetic sequence. The first term of the arithmetic sequence is 0; Determining a start scan offset corresponding to each thread according to the start address of the text to be scanned and the number of each thread; loading The text to be scanned into a plurality of threads, and at the same time, scanning the text to be scanned by a pre-constructed state machine according to the initial scanning offset corresponding to the threads in each thread, so as to obtain a target pattern string matched with the state machine in the text to be scanned. Theinvention can effectively improve the efficiency of pattern matching.

The invention discloses a method and device for shooting a virtual reality picture or a virtual reality video and a scanning driving device. The problems that existing equipment needs multiple sets oflenses and is high in cost are solved. The shooting process is automated quick and forms image accurately. Videos are smooth, a photographer can photograph himself / herself, and the method comprises the steps that a mobile phone calculates a motor instruction and a photographing instruction according to user parameters and camera parameters, a scanning driving device is controlled to rotate the mobile phone in the horizontal direction and the vertical direction to scan the environment to generate panoramic pictures, and the two panoramic pictures at the left eye view angle and the right eye view angle are combined to generate a virtual reality picture; the virtual reality picture of the background environment is combined with the video of the moving target to generate a smooth virtual reality video; a scanning driving device for the operations comprises a base, a horizontal rotating platform, a vertical overturning platform and a carrier, the number of the mobile phones is one or two,the mobile phones are detachably placed in the carrier, and a camera of each mobile phone corresponds to the left eye or / and the right eye in position.

The invention provides an alarm fusion method based on data center anomaly monitoring. The alarm fusion method comprises the following steps: S1, alarm collection: collecting alarm information from each data source monitored by a whole operation and maintenance system in a series of time windows; S2, alarm preprocessing: carrying out redundancy elimination operation on the collected alarm information, and extracting key alarm information in the collected alarm information; S3, alarm association analysis: discovering association rules of the preprocessed alarm information according to a certainalgorithm; and S4, alarm integration and output: performing de-duplication and integration operation on the newly arrived alarm information within a certain time according to the association rule ofthe alarm information discovered in the step S3, and outputting the alarm information to a database. According to the invention, redundant information in the alarm information can be eliminated. The alarm information with a causal relationship is fused, so that the workload and the working difficulty of operation and maintenance personnel are reduced. The operation and maintenance cost is reduced.

The application discloses a radiation test method and system. The method comprises the following steps: acquiring a PK value at any test point, converting the PK value into first data in a set format,and recording the first data and antenna position information; recording second data at any test point, replacing the first data with the second data and recording antenna position information underthe condition that the second data are greater than the first data; otherwise, keeping the first data and the antenna position of the first data, generating a waveform according to a relationship between the frequency and the PK value of any test point in a scanning period; determining a maximum PK value and a QP maximum value of any test point according to the waveform; and comparing the QP maximum value with a radiation test threshold value to determine a radiation test result. In addition, the system comprises an antenna, a rotary table, a receiver, a comparator and a waveform display device; a to-be-tested device is fixedly arranged on the rotary table; the receiver is in communication connection with the antenna; and the comparator is in communication connection with the receiver. According to the application, the test efficiency and the accuracy of the test result can be greatly improved.

The invention discloses a cell selection method and a terminal. The method includes: acquiring access assistance information carried in a synchronization signal block on a first frequency point; wherein, the access assistance information includes indicating the next second frequency to be scanned. point indication information; determine whether to scan the second frequency point according to the access assistance information and frequency point scanning history information. The terminal of the present invention preferentially scans the access assistance information to determine the next second frequency point to be scanned, because the second frequency point indicated by the access assistance information is recommended by the network device and has a high probability of being suitable for accessing the cell. Therefore, the efficiency of the terminal in selecting a cell can be improved, and the power consumption of the terminal can be reduced. In addition, the terminal also determines whether to scan the second frequency point based on the historical information of the frequency point, which can avoid the terminal repeatedly scanning the scanned frequency points and cells, and further reduce the time delay and consumption in the terminal search, cell selection, and reselection processes. Electricity.

The invention discloses a self-adapting-based network port fast scanning method. According to the method, through mutual self-adaptive learning of IP addresses and ports, newly found IP addresses or newly found ports are updated and scanned, and repeated scanning is avoided. On the one hand, the number of detected messages can be reduced greatly, meanwhile, the conditions of the IPs and the ports opened in the network can be found to the maximum extent, and the subnet scanning speed is greatly increased. Once it is found that a loophole port happens to a certain host, it is likely that the host has other loophole ports under general conditions, under the condition that one loophole is found, self-adaptive learning can be performed, all the ports where the loopholes may exist of the host IPs which can be attacked easily can be found in time, all the other loopholes of the IPs of the whole network can be detected by just finding any one IP loophole, and threatening loopholes probably existing in the network can be scanned in time.

The invention discloses an intelligent network device scanning method based on adaptive factor detection. The method comprises the following steps: an initialization stage of an adaptive factor; and a dynamic updating stage of the adaptive factor. According to the intelligent network device scanning method disclosed by the invention, the concept of adaptive factor is introduced into the field of network device survival detection, three parameters, namely survival counting, the adaptive factor and an adaptive factor change time are introduced to calculate a relatively appropriate scanning weight, realize the adaptive learning of a scanning IP address and the dynamic correction of the adaptive factor, and avoid the occurrence of repeated scanning. Therefore, the number of detection messages can be greatly decreased and the consumption of network resources is reduced on one hand, meanwhile, the non survival devices in the network can be maximally found, the survival detection time is shortened, the problem of insufficient scanning efficiency caused by a huge number of the network devices is solved, and real high efficiency is achieved.

The invention provides an equipment asset scanning method, device and system. The method is applied to a core server, the core server corresponds to a plurality of access servers, and network segments corresponding to the access servers are different and do not overlap. The method comprises the following steps: determining a first scanning task according to a target network segment corresponding to a target access server, wherein any access server in the plurality of access servers is a target access server, and a first scanning network segment corresponding to the first scanning task is at least part of a target network segment; sending the first scanning task to a target access server to instruct the target access server to call a target equipment asset scanner to scan a first equipment asset connected with the first scanning network segment and obtain a first scanning result; and receiving a first scanning result. The equipment asset scanners only scan the distributed network segments, so the problem of repeated scanning caused by the fact that the network segments scanned by a plurality of equipment asset scanners are the same can be avoided, and the scanning efficiency of the equipment assets is improved.

The invention provides a crowd-based image recognition method, a system, a device and a storage medium. The method comprises the following steps: carrying out the joint calibration of a laser radar and at least one camera driven by a table device based on a monitoring region; when the camera rotates to each optical axis position, obtaining an image obtained by the camera corresponds to a local area of the monitoring area; a laser radar collects point cloud data of a monitoring area in real time, and identifies the real-time position of a point cloud cluster representing each pedestrian in the point cloud data; performing pedestrian image partition recognition on a current image shot by a camera based on an optical axis position through a first neural network, and performing matching according to the position of the pedestrian in the current image and a point cloud cluster of the pedestrian in a local area corresponding to the current optical axis position; and only subjecting the image partitions which are not recognized by the second neural network to image recognition through the second neural network. The laser radar can be combined to avoid repeated scanning, and the monitoring effect is enhanced.

The invention discloses a frequency sweeping method and device for a small bandwidth communication system. A to-be-swept band is divided into a plurality of subbands according to system performance; frequency points in each subband are determined according to the minimum bandwidth of a system; FFT operation, slide accumulation operation and grid deviation accumulation operation are carried out ontime domain signals according to fixed gain; and after power distribution of all frequency points on the to-be-swept band are obtained, whether to adjust gain values to recalculate the power of each frequency point is decided according to a threshold demand. All frequency points of which power satisfying the threshold demand are screened according to the method, namely, all resident frequency points are obtained. According to the method and the device, the collected time domain signals are processed according to the fixed gain; the AGC (Automatic Gain Compensative) convergence time does not need to be reserved; and the integrated data processing time is greatly reduced. According to the method and the device, the frequency point distribution in each subband is determined according to the minimum bandwidth of the system and the power of each real frequency point is directly calculated in an bandwidth mode, so the sweeping omission condition resulting from the fact that calculated central frequency points are not the real frequency points is avoided.

The invention discloses a personalized and precise magnetic resonance imaging method. During the data collecting and processing procedure of the magnetic resonance imaging operation, an individual relaxation time spectrogram is deduced and individual optimization imaging parameters are recommended. In this way, a method for realizing the weak-contrast image restoration and the personalized precise scanning is achieved. Meanwhile, a large sample knowledge base comprising tissue classification and tissue relaxation characteristics is established. Through the morphological registration and the signal strength standardization, the comparability of individual data and sample data is established. Through the modes of issue recognition, coordinate positioning, signal comparison and relaxation characteristic definition, a relaxation time spectrogram which meets the individual actual condition is deduced. Through the analysis of the individual relaxation time spectrogram, imaging parameters suitable for personalized imaging are calculated. Therefore, the obtained individual relaxation time spectrogram and the imaging parameters can be used for repairing weighted images. According to the invention, the purpose of personalized and precise scanning is achieved. The repeated scanning for repeatedly modifying imaging parameters carried out in order to obtain a high-contrast image is avoided.

The invention belongs to the measuring technical field, and relates to improvement of a scanning method for measuring a solid particle membrane with a scanning electron microscope. The scanning method comprises the following steps: fixing the membrane and adjusting parameters of the scanning electron microscope; determining scanning areas and scanning fields of the scanning electron microscope; scanning a first scanning area; scanning a second scanning area; and scanning a third scanning area. The scanning method avoids rescanning the same area, thus achieving good repeatability and high accuracy of statistical counting results.

The invention relates to an approximate order-preserving sequence pattern mining method, the current order-preserving sequence pattern mining only digs sub-sequences which meet the support degree threshold and have completely same (most accurate) relative sequences in time sequences, but some important information is often missed when only the most accurate order-preserving pattern is mined. According to the mining method, the most accurate order-preserving mode can be mined, and the order-preserving modes with different approximation degrees can be mined according to different input parameter values. And more meaningful order-preserving modes can be mined, so that the method is suitable for more application fields and can better help people to carry out analysis and prediction. In the aspect of candidate mode generation, a mode fusion strategy based on prefix and suffix splicing is adopted, and the number of meaningless candidate modes is reduced. In the aspect of mode support degree calculation, candidate sequences are obtained on the left and right sides of the frequent mode appearing position, repeated scanning of a database is avoided, the mode matching frequency is greatly reduced, and the mining performance is remarkably improved.