103results about How to "Type accurate" patented technology

An adaptation of standard edit distance spell-check algorithms leverages probability-based regional auto-correction algorithms and data structures for ambiguous keypads and other predictive text input systems to provide enhanced typing correction and spell-check features. Strategies for optimization and for ordering results of different types are also provided.

A beam emitted from a first light source is shed on the surface of a rotating wafer to form a beam spot. Scattered light arising from foreign matter and other defects on the surface of the wafer is detected in a plurality of directions and output in the form of a signal. Vertical movement of the wafer surface is detected by using white light or broadband light from a second light source. The position of the beam spot on the wafer surface is corrected in accordance with the information on the detected vertical movement for the purpose of minimizing a coordinate error that may arise from the vertical movement of the wafer surface. Further, the emission direction and emission position of light generated from the first light source are corrected to minimize a coordinate error that may arise from variations of the first light source. These corrections are made to enhance the accuracy of the coordinates of detected foreign matter and other defects. Moreover, the illumination beam spot diameter is corrected to prevent the detection sensitivity and foreign matter coordinate detection error from varying from one apparatus to another.

Characteristics of a plurality of skin types have been classified, and skin areas are detected from image data according to the classification. The skin areas are extracted in two steps, first coarsely and next finely. Then, skin areas can be extracted at high speed. For each of the skin areas image data are corrected according to the characteristics of the skin area. Then, skin areas are corrected according to the skin type. Even when an image includes a plurality of persons having different skin characteristics, correction appropriate for each skin type is possible.

The invention discloses a method for quickly identifying a networked industrial control device. The method is characterized by comprising a pre-scanning stage and an industrial control device identification stage, wherein the pre-scanning stage comprises: uniformly allocating scanning tasks by using a distributed scanning mechanism, splitting a specified IP address segment, judging whether an IP host and a port survive by using a TCP stateless detector, and storing IP addresses of the survival IP host and the survival port in an IP buffer pool identified by the device, and the industrial control device identification stage comprises: obtaining the survival IP host and the port from the IP buffer pool, establishing a complete TCP connection, sending a specific industrial control protocol identification data packet of the port, waiting for the response of a server, returning a data packet by the networked industrial control device, analyzing the data packet, and matching the data packet with a fingerprint library of the industrial control device. According to the method disclosed by the invention, the distributed scanning technology is imported, segmented scanning is carried out by fully using scanning nodes, the resources of a computer are saved, the scanning efficiency is greatly improved, and meanwhile the survivability of the IP host and the industrial control port are clarified before the industrial control device is identified, thereby shortening the response delay time caused by the non-survival of the port.

A sensing apparatus for use in a mass flow rate sensor for measuring a fluid flow rate includes a main conduit for containing a fluid flow, and a sensor passageway for tapping a portion of the fluid flow from the main conduit at a first location, and returning the portion of the fluid flow to the conduit at a second location. At least one bypass passageway, which may be provided in the form of a tube, is positioned in the main conduit between the first and second locations, and the bypass passageway is provided with non-negligible entrance effects that are substantially equal to entrance effects of the sensor passageway, so that a bypass ratio of the apparatus remains constant. A mass flow rate sensor of the present disclosure accurately measures any type of gas but only requires calibration in only one reference gas.

The invention relates to a data processing device for recovering digital data which is received in an analogue transmitted signal. According to the invention, the received signal is digitized and a threshold is determined in a threshold estimator. The interference in the channel is corrected in a downstream adaptive equalizer, and a bit clock generator produces the correct sampling rate and phase for the data of a line. The threshold estimator is used to determine the mean value of an input signal for each line, and this value is then taken as the optimum decision value for sampling the data bits for this line. By using an adaptive equalizer, it is possible to correct different types of distortion, caused by the transmission channel, without the need for a training signal. The data processing device according to the invention can thus be used universally for all digital additional signals occurring in a television signal, for example.

This disclosure provides an underwater detection device, which includes a first generator for generating a first transmission signal, a second generator for generating a second transmission signal having a longer pulse width than that of the first transmission signal, an output unit for outputting the transmission signals generated by the first and second generators to a transducer for transmitting underwater ultrasonic waves based on the first and second transmission signals, respectively, receiving the reflection waves caused by the ultrasonic waves, respectively, and converting the reflection waves into a first reception signal and a second reception signal, respectively, an underwater detector for detecting at least one of a presence of a target object and a water bottom depth based on the first reception signal, and a bottom sediment discriminator for discriminating a water bottom sediment type based on the second reception signal.

A sport-boot pressure monitoring system and method of use. The system includes a left boot sensor having a left flexible fluid-containing bladder shaped to fit between a user's left leg and an interior surface of a left boot worn by the user and a left pressure sense element in pressure-sensing communication with the left flexible fluid-containing bladder, a right boot sensor that is similar to the left one, and a controller to provide a pressure alert if pressure between one of the user's legs and the interior surface of the boot worn on that leg violates a predetermined pressure threshold and to provide a proximity alert if a distance between the left and right boots violates a predetermined proximity threshold.

Disclosed are an apparatus and a method for gait type classification using a pressure sensor of a smart insole, which are capable of classifying pieces of gait data having various variances using only a pressure sensor. The apparatus for gait type classification includes a gait data measuring part configured to measure pieces of gait data using a pressure sensor, a pre-processor configured to define a section of a unit step in all the pieces of gait data, divide the pieces of gait data for each unit step, and normalize the pieces of divided gait data to equalize lengths of the pieces of divided gait data, and a feature extractor configured to extract features suitable for gait type classification from the pieces of pre-processed gait data, and a gait type classifier configured to receive the extracted features as an input and determine and classify a final gait type.

An optical-axis deflection type laser interferometer includes a reference ball serving as a measurement reference, a retroreflecting means disposed at an object to be measured, a laser interferometer length measuring apparatus that outputs a measurement value according to an increase or a decrease in distance between the apparatus and the retroreflecting means, and a rotational mechanism that rotates a beam projected from the laser interferometer length measuring apparatus around the reference ball. The thus structured laser interferometer measures a distance between the laser interferometer and the retroreflecting means that makes an optical axis of an outgoing beam projected from the laser interferometer length measuring apparatus mounted on the rotational mechanism and an optical axis of a return beam returned to the laser interferometer length measuring apparatus parallel to each other, based on center coordinates of the reference ball. The laser interferometer is characterized by additionally including a displacement gauge that measures an error caused by a relative motion between the reference ball and the laser interferometer length measuring apparatus, and a rectilinear movement mechanism that displaces these in a direction of an optical axis of a measurement beam with respect to the reference ball while maintaining a relative positional relationship between the laser interferometer length measuring apparatus and the displacement gauge. With this structure, it becomes possible to calibrate the displacement gauge used to correct an error in the direction of the optical axis resulting from the motion accuracy of the two-axis rotational mechanism with respect to the reference ball of the optical-axis deflection type laser interferometer, without preparing a special calibrating device, on the operating instrument. As a result, traceability is secured.

A sound classification system for adding and correcting a sound type is disclosed. When the add/correct command processor receives a command to add or correct a sound type, the data in the first database is stored in the second database, and the type adding/correcting device adds the feature of the sound to the first database, and re-calculates the statistical values. Besides, the classifier re-classifies the sample sounds, and the precision calculator calculates a ratio of accurate classification. When the ratio is high, the type adding/correcting device stores, in the feature database, the feature of the sound for which a type is to be added or corrected. When the ratio is low, the second database restores the data back to the first database.

The invention discloses a method and system for classifying and positioning internal insulation defects of a GIS. The method comprises the following steps: setting built-in UHF sensors at the positions, parallel to a bus bar, on the inner side of a hand hole cover plate of each air chamber of a GIS cavity; amplifying and filtering UHF signals sent by each UHF sensor, carrying out analog-digital conversion on the UHF signals sent by each UHF sensor, and then inputting the UHF signals after analog-digital conversion; obtaining time domain features through time-frequency analysis and obtaining wavelet coefficients through wavelet analysis by a signal feature extraction and identification device for receiving the UHF signals from an FPGA chip; after feature vector normalization processing of the combination of the time domain features and the wavelet coefficients, adopting a support vector machine device to train feature vectors, and obtaining an optimal penalty factor (C) and a gamma function parameter (g) by comparing classification accuracy; and constructing a support vector machine model (SVM), wherein the support vector machine model (SVM) is used for identifying the extracted UHF signals so as to judge the species and positions of the insulation defects.

The invention relates to an authentication method for a composite fiber, and belongs to the technical field of analysis and authentication of fiber components. The authentication method comprises the following steps: construction of a standard fiber sample database: smashing and uniformly mixing different types of single-component standard fiber samples, carrying out differential scanning calorimetry test to obtain differential scanning calorimetry analysis data of the different types of single-component standard fiber samples, and constructing the standard fiber sample database; authentication and judgment: smashing and uniformly mixing fiber samples to be tested, carrying out differential scanning calorimetry test to obtain differential scanning calorimetry analysis data of the fiber samples to be tested, comparing the differential scanning calorimetry analysis data with data in the standard fiber sample database, and judging the type of the fiber samples to be tested. According to the authentication method, the type of the fibers can be accurately authenticated, especially the types of respective constituent fibers in the composite fiber; furthermore, the method belongs to a pure thermal analysis method, and has the advantages of small sample demand, zero humidifying pretreatment, accurate test result and high repetitiveness.

The present invention relates to a method and device for determining the defect type of a partial discharge, the method comprising the steps of: forming virtual spaces corresponding to n parameters generated on the basis of defect types that cause a partial discharge; arranging defect type models in the virtual spaces based on the parameter values of the n parameters; extracting parameter values of the n parameters based on a partial discharge event; arranging a partial discharge model in the virtual space based on the parameter values; calculating the distance value between the defect type models and the partial discharge model based on the position information of the defect type models and the partial discharge model; calculating the probability of the defect types based on the calculated distance value; and determining the defect type based on the probability of the defect types for the partial discharge signal event.

The invention provides a photoelectric converter capable of reducing a random noise. The photoelectric converter includes: a photoelectric conversion unit having an output terminal connected to input terminals of a reset unit and an amplification unit; a hold unit for holding a reference signal generated through resetting of the output terminal of the photoelectric conversion unit; and a signal read unit for reading out to a common signal line the reference signal and an optical signal obtained after storage of electric charges generated on the basis of light made incident to a photoelectric conversion area of the photoelectric conversion unit.

A flow rate timing apparatus including a chute, planar surface, or tube with a first portion and a second portion enabling a flowable substance to flow between the first portion and the second portion. A first liquid detector located proximate the first portion for detecting when a flowable substance passes by the first liquid sensor, and a second liquid sensor located proximate the second portion for detecting when a flowable substance passes by the second liquid sensor. A timing circuit is connected to the first liquid sensor and the second liquid sensor, wherein the timing circuit determines amount of time for a flowable substance to flow between the first liquid sensor and the second liquid sensor.

The invention discloses an improved electric automobile charging electric energy signal feature analyzing method. The improved electric automobile charging electric energy signal feature analyzing method comprises the following steps: firstly, training relevant parameters of wavelet transform by using a neural network method so that the trained wavelet transform is more suitable for extracting electric automobile charging voltage instantaneous change signal features; secondly, monitoring a sudden rising (falling) point of a voltage/current signal in real time by using the neural network method, and recognizing signal features at the voltage/current sudden rising (falling) position by wavelet transform; and finally, after eliminating influence of abnormal signals such as unsteady wave and signal sudden rising (falling), judging signal features such as harmonic wave and inter-harmonic percentage, frequency deviation and three-phase balance degree by using a Kalman filtering algorithm. The recognition accuracy of electric automobile charging voltage/current instantaneous change signals and sudden rising (falling) signals can be improved further on the basis of traditional wavelet transform, ability of detection of harmonic percentage and three-phase voltage unbalance degree under the unsteady wave through a conventional Kalman filtering algorithm can be enhanced further, and therefore, the electric automobile charging electric energy signal features are comprehensively and reliably analyzed.

The invention discloses phonetic skill control method and device, equipment, and a storage medium, and relates to the field of artificial intelligence. The invention provides the concrete implementation scheme that the phonetic skill control method is applied to the electronic equipment; the electronic equipment comprises multiple phonetic skills; the multiple phonetic skills comprise a third-party phonetic skill and at least one built-in phonetic skill; and the electronic equipment is in the third-party phonetic skill at present. The method comprises the steps of receiving a current request command of a user; responding to the current request command and calculating skill control characteristic data, corresponding to each phonetic skill, of the current request demand, wherein each phonetic skill comprises the current third-party phonetic skill and at least one built-in phonetic skill; determining a phonetic skill matched with the current request command according to the skill controlcharacteristic data; and adopting the matched phonetic skill to respond to the current request command.