80results about How to "Solve unrecognized" patented technology

The invention relates to a sequence marking system, which comprises a model marking module, an adjustment module, and a strategy base; an output end of the model marking module and an input end of theadjustment module. The model annotation module is used to annotate the input text data serially. One or more policies are stored in the policy library, and the adjustment module is used for retrieving the policies from the policy library, and adjusting the annotation results output by the model annotation module according to the policies and the input text data. As that system or the method of the invention label the text sequence, the accuracy and the applicability of the original model labeling can be enhance.

The invention discloses a servo control system applied to precise numerical-control machine tool processing equipment. The servo control system comprises a programmable control unit with a CAN (controller area network) open communication interface and a servo driving unit with a CAN open communication interface, and the programmable control unit is in communication with the servo driving unit via a CAN open bus. A positioning module of a programmable controller is omitted, the CAN open bus replaces a pulse signal wire and a control wire, consumption of wires is reduced by two-third, cost is saved, and simultaneously, failure rate of circuits is greatly reduced. Digital signals transmitted by the CAN open bus replace pulse signals of the prior art, problems that speed is limited due to over high pulse frequency and individual pulse signals cannot be identified by servo drivers in the prior art are resolved, the speed can be 1.5 times faster than the original speed, processing efficiency is improved, and precision is increased to 0.3mm from 0.5mm of the original precision.

The invention discloses a device identification method and apparatus, a storage medium and an electronic device. The method can be applied to the electronic device, the electronic device provides first detection voltage for a preset pin of its Type-C interface, the preset pin is a non-configured channel pin, and when it is detected that a Type-C interface of an external device is accessed to the Type-C interface of the electronic device, the configured channel pin of the Type-C interface of the electronic device has no detection voltage. The method comprises the steps that when an instructionfor indicating identification of the external device is received from a user, the preset pin is grounded; when it is detected that the preset pin is grounded, a trigger signal is generated; accordingto the trigger signal, second detection voltage is provided for the configured channel pin and is greater than the first detection voltage; after the second detection voltage is provided for the configured channel pin, the external device is identified through the configured channel pin. The problem can be effectively solved that the electronic device cannot identify the external device by adopting the device identification method.

The invention discloses a system for identifying license plates of black smoke vehicles by front and rear snapshotting. A front-end snapshotting unit is respectively connected to a black smoke vehicle identification unit, a motor vehicle license plate identification unit and a motor vehicle license plate verification unit, the black smoke vehicle identification unit, the motor vehicle license plate identification unit and the motor vehicle license plate verification unit are connected to a data processing unit, and the data processing unit is connected to a data storage unit. The system monitors a plurality of lanes by means of a forward camera and a backward camera, consequently, the problem that license plates cannot be identified when detection is carried out on black smoke vehicles is solved, and the black smoke vehicle license plate identification rate is effectively increased.

The invention relates to the field of speech recognition, in particular to an automobile failure solving method and device, a storage medium and an automobile control terminal. The method comprises the steps that speech produced by a user is received; personal speech features of the user are acquired, and the personal speech features of the user are used for performing word segmentation processingon the speech to obtain recognition words contained in the speech; based on the recognition words, matching is carried out in a personal word library of the user to obtain standard words corresponding to the recognition words; the personal word library is used for storing a corresponding relationship between the recognition words and the standard words; according to the standard words, semanticsof the speech of the user is recognized. The automobile failure solving method and device, the storage medium and the automobile control terminal solve the problem that the nonstandard speech of the user cannot be recognized, and improve the accuracy rate and efficiency of speech recognition.

A household member identification system is provided. A member identity corresponding to member information collection is obtained by face recognition, The method can realize family member recognitionby using pedestrian detection and pedestrian re-recognition technology, and can realize multi-person recognition in a video frame. The algorithm can extract the features of all the people to be identified in the picture only once, and the searching speed is fast. In addition, the information database of family members can be updated in time so as not to be unrecognizable due to the change of clothes, and the actual demand of smart home can be met; At that same time, the method only require a plurality of ordinary USB cameras, and the device is simple, low in cost and strong in practicability.

The invention relates to an identification method and device between equipment, computer equipment and a storage medium. The method comprises the following steps: under the condition that second electronic equipment sends pairing broadcast information containing second electronic equipment identification information and scans an ultra wide band label in a preset range, first electronic equipment scans the second electronic equipment identification information in the pairing broadcast information, and establishes communication connection with the second electronic equipment; a control command is sent to the second electronic equipment through the established communication connection, wherein the control command is used for requesting to acquire scanned ultra-wideband tag information; candidate ultra-wideband tag information returned by the second electronic equipment is received; and target ultra wide band label information is identified from the candidate ultra wide band label information. By adopting the method, rapid and effective identification between equipment can be realized.

The invention provides a flow analysis method and device and a computer system. The method comprises the steps of obtaining plaintext features and ciphertext features of a message in traffic, whereinthe ciphertext features comprise length features of an encrypted field in the message; and performing analysis on the flow according to the plaintext features and the ciphertext features to identify aservice or an application to which the flow belongs. The method can be used for service identification and can also be applied to application identification. By introducing ciphertext characteristicsinto traffic analysis, the accuracy of traffic identification is improved in a message encryption scene. On the other hand, the invention further provides a public service flow attribution method anddevice and a computer system, the flow of the public service is attributed to the corresponding application by identifying the initial service and/or the exclusive service of the application, the accuracy of application flow attribution is improved, and a foundation is provided for subsequent application flow charging and other services.

The invention discloses a power quality disturbance identification method based on an improved HHT algorithm, which comprises the steps of firstly, collecting signals, and segmenting the signals by using an SAX algorithm; secondly, performing HHT analysis on the different segments of segmented signals, and extracting feature values of the different segments of signals; then identifying the power quality disturbance condition by using a decision-making tree according to the extracted feature values; and finally performing iterative HHT analysis on identified normal power signals so as to further judge whether there is minor disturbance or not, and thus achieving complete identification for the power quality disturbance. The power quality disturbance identification method disclosed by the invention based on the improved HHT algorithm solves a problem that it is impossible to identity non-stationary signals the prior art. The signals are segmented by adopting the SAX algorithm, and then different segments of signals are analyzed to further judge whether there is disturbance or not, thereby well solving a problem of mode aliasing occurred with high frequency and small amplitude.

The invention provides an identity card quality inspection method and system based on deep learning. The method comprises the steps: acquiring a first image containing an identity card image and a background image, preprocessing the first image to obtain a second image only containing the identity card image, inputting the second image into a set reflection quality inspection model for reflectionquality inspection to obtain a third image, and inputting the third image into a set fuzzy quality inspection model for fuzzy quality inspection to obtain a fourth image, wherein the set fuzzy qualityinspection model and the set reflective quality inspection model are both obtained according to the basic structure of SqueezeNet. According to the invention, the problem that a plurality of index thresholds need to be adjusted during identity card quality inspection in the traditional image processing technology and equalization is difficult to achieve on positive and negative sample recall indexes is solved, and a traditional image processing method for separating a reflective area from a non-reflective area by using brightness, gradient and color cast can not distinguish reflective areas (characters and head portraits) of an identity card from reflective areas of the non-critical area and can not identify Great Wall watermarks similar to reflective areas.

The invention discloses a release agent, a release film, a composite film and an ink-jet printing medium, preparation methods of the release agent, the release film, the composite film and the ink-jetprinting medium, and an application of the ink-jet printing medium. The release agent comprises the following components in parts by weight: 5-7 parts of polyvinyl alcohol, 1-2 parts of silicon dioxide, 4-8 parts of titanium dioxide, 5-10 parts of waterborne polyurethane, 5-10 parts of emulsion wax, 0.5-1.5 parts of a wetting agent, and water, wherein the solid content of the release agent is 15-30%. The preparation method of the release agent comprises the following steps: preparing 8-12% of polyvinyl alcohol water solution, 10-15% of a silicon dioxide dispersion liquid and 20-40% of a titanium dioxide dispersion liquid, and then performing uniform mixing with other components to obtain the release agent. The release film is obtained by coating the release agent on a base material, and performing drying, cooling and stripping, wherein the usage amount of the release agent is 100-130 g/m<2>. The composite film comprises a polymer base film and a release film. The ink-jet printing medium comprises a composite film and a transparent ink-absorbing coating. The release film and the polymer base film have moderate adhesive force, the release effect is good, and the ink-jet printing medium can be identified during printing.

The present invention discloses an FBG reflectance spectrum abnormal mode rapid discrimination method. The method comprises the following steps of 1) obtaining an FBG reflectance spectrum via a fibergrating demodulator, and converting the FBG reflectance spectrum into a digital sampling signal to send to an upper PC; 2) setting an alarm parameter on the PC; 3) rapidly discriminating the normal mode and the abnormal mode of the FBG reflectance spectrum within the FBG wavelength range [lambda min, lambda max] and according to the set alarm parameter. The method solves the problems that under the atmospheric ambient temperature environment and the high vacuum thermal environment, the FBG reflectance spectrum abnormal mode is identified incompletely, and a fault mode is low in identificationaccuracy, has the characteristics of being simple and rapid in algorithm, little in mode discrimination participation data quantity and high in abnormal mode identification accuracy, and being not influenced by the low spectrum signal to noise ratio, and enables the fault diagnosis efficiency of an FBG under the regular usage environment and the extreme environment to be improved substantially.

The invention relates to the technical field of customer service systems, and particularly discloses a multi-round dialogue intelligent customer service system based on proprietary word correction andcold start. The system comprises a scene and intention recognition module, an entity grooving recognition module, a multi-round session management module and a model training management module, wherein the scene and intention recognition module, the entity grooving recognition module and the multi-round session management module are sequentially connected through a protocol, and the model training management module is separately connected with the scene and intention recognition module and the entity grooving recognition module through protocols. A proprietary word correction function is applied during the entity grooving process, so that the problem that the user does not definitely input the proprietary nouns set by the system one by one, so that the system cannot identify, is solved. The whole system not only can perform intention switching, but also can perform intention inheritance, and after the BERT is introduced, the manual annotation containing universal nouns can be reduced.

The method includes: subscriber equipment receives the system message from radio network controller; the system message includes the convergence deviation message of frequency layer; when session begins, the radio network controller sends the multi media broadcast and multicast message including the convergence message of the said layer to the subscriber equipment. The convergence message of the said layer includes the frequency information of firstly selected layer in current location and the ID of cell in the firstly selected layer cell; the subscriber equipment decides if itself is at the firstly selected layer in term of the frequency information in the layer convergence message in the received broadcast and multicast message; if not, executes the reselection of cell in term of the ID of cell in the convergence message of the said layer and the convergence deviation information of the frequency layer.

The invention belongs to the technical field of picture recognition, and particularly relates to a table recognition method adaptive to multiple types of OCR recognition interfaces and related equipment. The method comprises the following steps: receiving an extraction request, wherein the extraction request comprises a document and an identification mode; according to the recognition mode, calling a preset external OCR interface, performing recognition processing on the document through the external OCR interface, and receiving recognition data returned by the external OCR interface; and generating table data from the identification data, and returning the table data. According to the invention, through the adaptation of a plurality of identification modes, most of the encountered OCR tables in the disclosed bond announcement can be identified basically, the coverage range is wider, and the identification rate is higher.

The invention provides an output-voltage-adjustable electric vehicle charging pile and a charging voltage adjusting method. The charging voltage can be adjusted according to the voltage specificationof an electric vehicle battery pack. The electric vehicle charging pile comprises a machine case and a charging circuit board arranged in the machine case. The charging circuit board comprises a charging circuit, a main control MCU, a voltage signal collecting circuit, a current signal collecting circuit and a PWM signal feedback circuit. The charging circuit comprises a transformer. The chargingvoltage adjusting method includes the steps that the voltage signal collecting circuit collects the voltage of electric vehicle batteries and sends the voltage to the main control MCU; the main control MCU judges the range of the collected voltage according to the collected voltage signals of the battery pack; and the main control MCU controls the voltage of the transformer T2 to be adjusted to the matched charging voltage of the battery pack through the PWM signal feedback circuit according to the obtained voltage specification of the battery pack. The matched charging voltage is adjusted according to the battery voltage of the electric vehicle, and the voltage specification of the battery pack can be automatically recognized within a cross range.

The invention provides an asset and fingerprint identification method based on a feedback mechanism and related equipment, and the method comprises the steps: carrying out the analysis and processing of preset data information through a detection engine, obtaining at least one suspected protocol detection data packet, and preliminarily reducing the detection range; according to a feedback detection method, a detection engine selects version detection data packets from at least one suspected protocol detection data packet in sequence, and sends the version detection data packets to a target application, and the target application analyzes the protocol type and the protocol version number supported by the target application and the protocol type and the protocol version number in the version detection data packet to obtain an analysis result, sends the analysis result as feedback information to the detection engine, and stops matching until the detection engine confirms that the first successfully matched target version detection data packet appears. The problem that the non-standard port application protocol type and the protocol version number cannot be identified is solved, the identification accuracy of the protocol type and the protocol version number is improved, and then the asset type and the fingerprint information are accurately identified.