1103results about How to "Acquisition speed is fast" patented technology

In one embodiment of the invention, a semiconductor optical amplifier (SOA) in a laser ring is chosen to provide low polarization-dependent gain (PDG) and a booster semiconductor optical amplifier, outside of the ring, is chosen to provide high polarization-dependent gain. The use of a semiconductor optical amplifier with low polarization-dependent gain nearly eliminates variations in the polarization state of the light at the output of the laser, but does not eliminate the intra-sweep variations in the polarization state at the output of the laser, which can degrade the performance of the SS-OCT system.

The invention relates to a combined three-dimensional digital imaging method of digital speckle projection and phase measuring profilometry. The method comprises the following steps: (1), a random digital speckle pattern is projected onto an object and acquired through two cameras on left and right sides; (2), a sinusoidal fringe pattern is projected onto the object, and a corresponding sinusoidal fringe pattern is acquired; (3), the folded phase value of a coding fringe pattern is calculated; (4), a series of points (Pr1 to Prn) on the right camera corresponding to a point P1 on the left camera are searched according to the folded phase value; (5), the point Pr on the right camera corresponding to the point P1 is fixed in the position of P1 according to the acquired digital speckle pattern; (6), processes of the step (4) and (5) are performed to all points on the left and right cameras, to find all the corresponding point pairs; (7), the corresponding point pairs are re-established into three-dimensional point cloud data. The method has the advantages that the imaging speed is fast, small calculated amount, accurate result, and the method is suitable for the fields of on-line three-dimensional detection and dynamic three-dimensional data acquisition with higher accuracy and speed requirements.

The invention discloses a field-oriented personalized intelligent recommendation system and an implementation method. Aiming at the defect of poor universality of the traditional recommendation manner, a reasonable data organization mode is adopted, so that the recommendation service has a cross-field property, and field conversion can be realized by configuring field information according to the characteristics of different fields; aiming at the problem of data sparseness caused by single user information acquisition source and low quantity in the traditional recommendation manner, a context perception technology for actively acquiring context information of interactive behaviors of a user and the system is introduced, so that the quantity of the acquired user information is greatly increased, and the time distribution of the acquired user information is more reasonable; the acquisition of the user information is directly related with the interactive behaviors of the user and the system; the system can acquire the current condition of the user in real time, so that the recommendation service can dynamically reflect the change condition of user demand; and the recommendation service quality is improved through a recommendation learning model by continuously using the reflection of the user on the recommendation result.

The invention provides an alarm association rule obtaining method of the mobile internet. A system comprises five parts of the obtaining of alarm data, the preprocessing of the data, the setting of parameters, the acquisition algorithm of the alarm association rule, and the expressing and the explaining of the association rule. The method comprises the steps: integrating, selecting, cleaning and changing communication alarm data; setting an alarm time window and an alarm sliding step length, and converting preprocessed relation type data into conventional type data to be convenient to obtain the alarm association rule; and setting support level and confidence level parameters, calling the acquisition algorithm of the alarm association rule based on a full itemset, obtaining the association rule from the alarm data according to the set parameters, and expressing and explaining the obtained alarm association rule. On the basis of the alarm association rule obtaining method, the alarm association analysis of the mobile internet can be realized without the participation of specialists, operation personnel and maintenance personnel, and the processing efficiency is doubled and redoubled under the condition that the operation cost is lower; and independent of a topological structure of a communication network, the method can be adapted to the complex, variable and isomerous communication network, can be used for automatically discovering the alarm association rule, is particularly suitable for the alarming and the monitoring of the mobile internet, and is wide in application prospect and good in practical value.

A digital broadcasting receiver, a driving method, and a self-diagnosis method thereof, are provided. The digital broadcasting receiver includes: a digital demodulator for demodulating a digital broadcasting signal; a lock detector for detecting lock signals from the digital demodulator; and a lock processor for controlling the digital demodulator according to the detected lock signal.

The invention discloses a full-automatic scanning system and a method for a microscopic section. The system comprises an object stage, a lighting device, an object lens, a Z-axis controller, a scanning camera and a computing device, the scanning camera is provided with a rolling shutter exposure mode and a banded array or banded subarray reading mode, the scanning camera performs a continuous digital imaging scanning for a banded partial area of a section sample which moves at a constant speed along a shutter rolling direction of the scanning camera, under the rolling shutter exposure mode, the scanning camera can perform a parallel exposure for next frame of image before the exposure of a former frame of image is finished, and the computing device can splice each frame of image which is subjected to continuous exposure to form a complete digital section. By means of the technical scheme, the uniform motion speed of the section sample can be improved, simultaneously the motion blurring caused by sample motion during exposure of the scanning camera can be reduced, the image acquisition speed is improved, and the image acquired by the scanning camera is clear and stable.

The invention relates to a method for detecting surface defects of a dustproof cover of a bearing based on machine vision, which comprises the following steps: a, obtaining a gray level image of a to-be-detected bearing; b, carrying out separation on the gray level image so as to obtain a ring image of the dustproof cover of the bearing; c, carrying out grey level transformation and adaptive median filtering preprocessing on the ring image; d, carrying out threshold segmentation on the ring image by using a maximum interclass variance method, extracting an edge of the ring image of the dustproof cover of the bearing after threshold segmentation by using a Roberts edge detection operator; e, calculating the numbers of which the numerical values are 1 in the image area every two degrees for the ring image of the dustproof cover of the bearing; f, providing a template bearing image, and obtaining a deflection angle sigma through calculating; g, carrying out separation on the image so as to obtain character areas and non-character areas of the ring image of the dustproof cover of the bearing; and h, carrying out surface defect judgment on corresponding character areas and non-character areas in the ring image of the dustproof cover of the bearing according to the number of connected areas and the defect area. By using the method disclosed by the invention, automatic detection can be achieved, the visual detection workload of artificial detection is reduced, the detection efficiency is improved, and the method is safe and reliable.

Information from multiple detectors acquiring different types of information is combined to determine one or more properties of a sample more efficiently than the properties could be determined using a single type of information from a single type of detector. In some embodiments, information is collected simultaneously from the different detectors which can greatly reduce data acquisition time. In some embodiments, information from different points on the sample are grouped based on information from one type of detector and information from the second type of detector related to these points is combined, for example, to create a single spectrum from a second detector of a region of common composition as determined by the first detector. In some embodiments, the data collection is adaptive, that is, the data is analyzed during collection to determine whether sufficient data has been collected to determine a desired property with the desired confidence.

The invention discloses a transparent-medium-microsphere-based super-resolution microscopic imaging system. In the system, a device which is improved on the basis of the traditional wide-field optical microscope system is adopted, namely a micron dimension small transparent ball is placed on the surface of a sample in the traditional wide-field optical microscope system. A method adopted by the system comprises the following steps of: illuminating a sample by using white light, and exciting the surface of the sample to generate surface plasma evanescent waves; coupling the surface plasma evanescent waves by using the micron dimension small transparent ball, and performing spatial amplification to generate an amplified virtual image of the sample; and performing secondary imaging on the virtual image and observing so as to acquire a microscopic image with super-resolution details of the surface of the sample and realize far-field and wide-field super-resolutions on the basis of wide-field illumination of white light. The system has high resolution fineness, is high in image acquisition speed, and can acquire instant dynamic images of observed samples, and acquired images are true and reliable; and the system has a simple structure and is low in cost.

The invention relates to a method for using mobile terminal to obtain information resource, which comprises: selecting needed information resource; coding said information resource, to obtain the coded result to be displayed on the local computer; the mobile terminal collects the coded result; decoding the coded result; the mobile terminal obtains needed information resource. The invention also provides relative client system and server. Compared with present technique, the invention can reduce the process, the complexity of each step, improve the safety of user information, reduce the demand for local computer, and accelerate the speed for obtaining information.

The invention discloses a method for achieving an Internet of things intelligent data gateway. The gateway achieves data collection in a device and the data are sent to a server at regular time or the server obtains the data at a certain fixed time interval. According to the gateway device, the defects that a traditional gateway device is complex in upper computer software programming, low in data collection speed, low in real-time performance and integrity of data collection and the like are overcome.

The invention relates to a double main screen handheld device which comprises a casing, a screen arranged outside the casing and a control circuit arranged inside the casing, wherein the screen comprises a first screen and a second screen which are touch screens, the two screens can realize the input function according to the demands, and can become large-area input devices when a user performs the input; and when the user requires to obtain information from the handheld device, the two screens can become information output devices. The invention has the advantages that: any one of the touch screens can realize the input functions of a soft keyboard game controller and the like according to the demands when the user inputs the information for the man-machine interaction, which maximally improves the efficiency of the man-machine information interaction; the screens can become large-area input devices when the user performs the input; when the user obtains the information from a mobile device, all the screens can become information output devices, thereby maximally improving the efficiency of the man-machine information interaction.

The invention discloses a downloading method for map data, comprising: a user terminal searches whether or not there is data of map piece corresponding to map region need to be required stored locally, if so, reading data of the map piece stored locally and executing continuous map data processing operation; if not, downloading data of the map piece from the server and executing continuous map data processing operation. The invention further discloses a downloading device for map data and a downloading server as well. The invention is capable of enabling the user to obtain quickly and accurately the map data, to accomplish personified and agile map data download aiming at different users, to reduce downloading time of the map data, to reduces storage space occupied, at the same time to reduces cost of network data stream, to reduce service cost of the user and to reduce dependency of the network, which reduces network cover rate and influence of network signal intensity for the user who uses the map.

The invention relates to the research field of magnetic resonance imaging and provides a method and a system for tracking a tested space attitude, dynamically adjusting imaging parameters of a scanner in real time and avoiding acquisition of motion artifact images in the acquisition process of magnetic resonance imaging data based on a computer vision target recognition and tracking technology. By adopting at least two video cameras for simulating stereoscopic vision of human eyes, a target is recognized, the tested space attitude is calculated, and space motion of the space attitude is monitored and judged. Once the motion occurs, parameters of the corrected space attitude are calculated immediately and are transmitted to the scanner through a transmission control protocol / internet protocol (TCP / IP), the imaging parameters of the scanner are adjusted in real time, the scanner is ensured to be capable of acquiring image data at a correct space position under the condition that the motion of the tested space attitude exists, and accordingly finally-obtained images are like images acquired under the condition that the motion of the tested space attitude does not occur. Therefore, acquired image data are stable and reliable in quality, the motion artifact is eliminated completely, and motion correction is not required in post-processing.

The invention provides a virtual instrument-based motor control automatic testing system and method for an electric automobile, wherein the system comprises an industrial personal computer and a CAN (controller area network) communication bus connected with the industrial personal computer, a test setting unit, a data processing unit, a result display unit and a database management unit which areall connected with the industrial personal computer, a data collecting unit respectively connected with a motor control circuit to be tested and the industrial personal computer, and a PXI (PCI Extensions for Instrumentation) communication card respectively connected with the industrial personal computer and the CAN communication bus; a programmable power supply is connected with the motor control circuit to be tested; and the motor control circuit to be tested is respectively connected with the data collecting unit and the CAN communication bus. The method comprises the steps of: selecting test items and setting parameters; collecting testing signals; analyzing and processing test data; displaying a testing result; and updating and managing a database. By the automatic testing system andmethod, the function detection and the collecting, processing and storing of the testing data of an electric automobile motor control circuit can be completed automatically; the synchronous sampling of the testing data is ensured; the automatic testing system and method have high testing precision and good the repeatability is good; the testing error is reduced; and the automatic level of the detection is improved.

The invention relates to a magnetic resonance diffusion tensor imaging method which comprises the following steps: performing K space sparse sampling on an imaging object to obtain K space data of a diffusion weighted reference image; performing K space sparse sampling on the imaging object to obtain the K space data of a diffusion weighted image; performing share filling on the K space data of the diffusion weighted reference image and the diffusion weighted image by keyhole imaging; and performing image reconstruction on the K space data after share filling. The magnetic resonance diffusion tensor imaging method and system provided by the invention have the advantages of reconstructing complete data, shortening the scanning time, improving the data acquiring speed and achieving rapid imaging by adopting sparse sampling rapidly and continuously to acquire K space data and performing share filling under the action of the keyhole imaging technology.

The invention relates to the technical field of three-dimensional reconstruction. The invention discloses a three-dimensional point cloud reconstruction method based on laser radar. The method comprises the following steps: data acquisition and preprocessing, feature extraction, feature matching, motion estimation, point cloud fusion and the like. The three dimensional environment real-time mapping function is achieved through a two-dimensional laser radar, and compared with the scheme based on a multi-line laser radar, the three-dimensional point cloud reconstruction method has the advantagesof being low in cost, good in motion distortion removing effect, high in real-time performance and high in mapping precision and has high practical significance for popularization and application ofthe three-dimensional environment reconstruction technology.

The invention discloses a real-time search method. The method comprises the following steps: S1, setting interest point data specified by a system; S2, according to the interest point data, capturing associative data from a target web site into the system; S3, according to a preset data acquisition cycle, traversing the target web site; S4, judging whether an updated target web site exists in the target web site, wherein the updated items include newly-presented web pages and changed web pages; if no updated target web site exists in the target web site, back to the step 2; otherwise turning to a step S5; and S5, capturing associative data on the updated target web site into the system and updating the target web site so as to achieve synchronous acquisition. The invention also discloses a real-time search device and a real-time search system. By using the real-time search method, the real-time search device and the real-time search system disclosed by the invention, instant information can be searched in real time at high speed with small resource occupation.

The present invention is cable running safety monitoring method, evaluation method and device, and belongs to the field of cable running safety monitoring technology. The cable running safety monitoring method is to monitor overheat of cable wires and send alarm based on the preset fixed threshold and trend threshold. The cable running safety evaluation method includes recording cable surface temperature, environment temperature and cable current value regularly, establishing cable surface temperature regression model, predicting cable surface temperature trend, and performing the mathematic analysis on the predicted value and the measured value residual error to evaluate the cable running status. The present invention also proposes equipment comprising temperature measuring element, data transmission line, data acquiring circuit module, data converting circuit and computer. The present invention has temperature measuring precision up to 0.5 deg.c, fast storing and other advantages.

The invention relates to an image collecting circuit of a high-speed absolute grating ruler. Coarse code channels and high-precision absolute code channels are engraved in the grating ruler. A photoelectricity converter for reading images and two LED light sources are further installed on the grating ruler. Multiple data reading windows are arranged in the photoelectricity converter. The image collecting circuit comprises a circuit switching device, a first A / D converter, a second A / D converter, a phase detector, a first position detector, a counting device, a second position detector, a speed detector, a correcting processor, a phase correcting processor, an absolute position detector, a speed judging device, a coding and decoding device and a storage device. Phases output by the photoelectricity converter are used for finely dividing adjacent absolute coding engraving line intervals to improve measuring precision of the grating ruler, macro-micro composite reading on low-precision incremental code channels and high-precision absolute code channels is achieved with a reading head. In a low-precision measuring stage, high measuring speed is achieved and low-speed high-precision measuring is carried out by switching when an endpoint is close.

The invention provides a dual-mode biological image collecting device based on fingerprints and finger vein. The dual-mode biological image collecting device comprises a casing, a flat-bottomed groove is formed in the middle on the upper surface of the casing, an inclined plane is formed at the top part of the groove, electrodes are mounted at the front end and the rear end of the groove, vein image collecting infrared light sources are mounted on two side walls of the groove, a fingerprint image collecting red light source and a fingerprint image collector are mounted in the position of the bottom part of the casing corresponding to the inclined plane part of the top part of the groove, an infrared receiver and a vein image collector are mounted in the position of the bottom part of the casing corresponding to the groove, and a power supply and a control circuit for supplying power or signal transmission to the electrodes, a temperature sensor, the red light source, the infrared light source, the infrared receiver and the image collector are arranged in the casing. The performance of the biological characteristic recognition system for collecting image information in the invention is better than that of the single-mode biological characteristic recognition system just based on fingerprints and finger vein. Therefore, by adopting the dual-light-path system for collecting the images of both the fingerprints and the hand vein, the collecting speed is increased.

The invention discloses a distribution type collection method and system for information which solves problem that too long collection period can not guarantee timeliness and effectiveness of information collection, promotes information collection and updating speed, reduces collection cost. The method comprises: establishing collection task by configuring collection parameter, dividing task to multiple task packet according to collection parameter; server terminal dispatching distribution type client terminal and sends collection parameter and task packet to request client terminal; client terminal performs collection task and acquires web page according to collection parameter and collects needed information. The inventive method provides a highly effective and stable information collection scheme and task dispatching scheme, fully utilizes network resource and computing resource, effectively promoting information collection efficiency and data updating speed, guarantees effectiveness of collected information by utilizing space information quantity distributed in network and combining information extraction technology and distribution type technology.

The invention provides a sample collection method and system used for face recognition and based on a video. The sample collection method used for face recognition and based on the video comprises the steps that an image region, containing movement information, in an image frame of the video is obtained firstly, the image region is detected so that a face pixel region can be obtained, the face pixel region in the image frame containing the face is tracked, so that a historical image frame of the same face is obtained, face characteristic extraction is conducted on the high-quality historical image frame of the same face, so that face characteristics required for face recognition are obtained, and finally, the face characteristics are stored. According to the sample collection method and system used for face recognition and based on the video, manual operation of sample collection workers is not needed in the whole sample collection process for face recognition, the collection speed is high, and the collection efficiency is high.

Embodiments described herein involve low-coherence interferometry (LCI) techniques which enable acquisition of structural and depth information regarding a sample of interest. In one embodiment, a “swept-source” (SS) light source is used in LCI to obtain structural and depth information about a sample. The swept-source light source can be used to generate a reference signal and a signal directed towards a sample. Light scattered from the sample is returned as a result and mixed with the reference signal to achieve interference and thus provide structural information regarding the sample. Depth information about the sample can be obtained using Fourier domain concepts as well as time domain techniques. Several LCI embodiments employing a swept-source light source are disclosed herein. In another embodiment disclosed herein, an a / LCI system and method is provided that is based on a time domain system and employs a broadband light source. The systems and processes disclosed herein can be used for biomedical applications, including measuring cellular morphology in tissues and in vitro as well as diagnosing intraepithelial neoplasia, and assessing the efficacy of chemopreventive and chemotherapeutic agents.

The present disclosure provides a method, a client device and a server of accessing network information through a graphic code. The method comprises: receiving an access request from a client, where the access request includes information of a graphic code; querying and obtaining, in a server, display information and action instruction that is configured in correspondence with the information of the graphic code in the access request; and performing a corresponding action in the display information according to the action instruction information to obtain an access result of the graphic code. The disclosed method simplifies operations of a user without waiting for the user's step-by-step operation requests, and further simplifies a handling process of the server. In addition, this method of directly returning an access result of a graphic code to a client fulfills an intention of a publisher of the graphic code.

The invention provides a three-dimensional entity model reconstruction method based on dense point cloud data. The dense point cloud data is acquired by a laser 3D scanner; 3D laser scanning can rapidly acquire three-dimensional coordinate data of the surface of a measured object in a large-area and high-resolution manner; a rapid and high-precision modeling method is matched, so that the characteristics of rapidness, non-contact, initiative, accuracy and the like are highlighted, data obtained in real time has the characteristics of high accuracy, high density and the like, reconstruction ofa three-dimensional model becomes more convenient, a digital model of an actual object can be created in the virtual world, and rapid and high-accuracy three-dimensional entity model reconstruction based on dense point cloud data is achieved; according to the semantic-based feature extraction method, a large amount of working time is saved, the semi-automatic mode is adopted for operation, the feature extraction precision and accuracy are effectively improved, the cost is greatly reduced, and the precision of the reconstructed three-dimensional solid model is obviously improved.

The invention provides a single-track absolute grating scale and an image coding method thereof. The single-track absolute grating scale comprises a light source, a reflector, increment scale gratings, a glass substrate, a mobile diaphragm, a photoelectric receiver and an indication grating, wherein the light source and the reflector are combined into an illumination light path, the increment scale gratings which are the same in width are engraved at equal intervals on the glass substrate, milestone flag bits are engraved in parallel at equal intervals on the glass substrate and below the increment scale gratings, the indication grating is embedded in an opening at the left upper part of the mobile diaphragm, an upper CMOS (complementary metal-oxide-semiconductor transistor) sensor and a lower CMOS sensor are respectively embedded in an upper opening and a lower opening which are arranged symmetrically on the right side of the mobile diaphragm, the indication grating is adhered to the glass substrate, the installation position of the upper CMOS aligns the increment scale gratings, the installation position of the lower CMOS aligns the milestone flag bits, and light of the increment scale gratings and the indication grating forms Moire fringes which are projected to the photoelectric receiver. By the single-track absolute grating scale and the image coding method thereof, the image acquisition speed is improved, the coding measurement accuracy is enhanced, and the effects of reliable coding, convenient decoding and quick result output can be achieved.