240results about How to "High discrimination accuracy" patented technology

This optical receiving device for discriminating and recovering a data signal, which results from converting an optical signal input through a dispersion equalizer into an electrical signal and amplifying it to a pre-determined amplitude, by using a clock and data recovery circuit for discriminating a data signal at the decision point controlled to achieve the optimum position controls the dispersion characteristics of a dispersion equalizer so that the error count in the recovered data signal by using a clock and data recovery circuit will be minimized by controlling the eye pattern of the data signal which has been amplified to a pre-determined amplitude.

An analyzing means first calculates the blur direction and blur level of a digital photograph image based on edge widths and histograms of the edge widths obtained in each direction, and discriminates whether the image is a blurred image or a normal image. Then, it further calculates the camera shake level and blur width for the image discriminated to be a blurred image. A parameter setting means sets a one-dimensional correction mask and a two-dimensional correction mask based on the blur width. It also sets a correction level based on the blur level. It further makes an adjustment to the ratio between the one-dimensional and two-dimensional correction masks based on the camera shake level.

A method and system for detecting and classifying anomalies in a medical image. During anomaly detection, once the intensity of an image pixel crosses a detection threshold, the pixel is detected and linking inputs are provided to its nearest-neighbor pixels. The linking inputs increase the intensities of the neighbor pixels, which may result in the detection of these nearest-neighbor pixels if their linked intensities are above the threshold. Each detected anomaly is classified by determining a genetic response surface methodology (GRSM) model for the detected anomaly, determining a cancerous GRSM model from a database of cancerous anomalies, and comparing the cancerous GRSM model to the GRSM model for the detected anomaly to classify the detected anomaly as cancerous or non-cancerous.

A method of and a system for splitting a compound object using multi-energy CT data including a density and an atomic number measurements are provided. The method comprises: compound object detection; computing a two-dimensional DZ distribution of a compound object; identifying clusters within the DZ distribution; assigning a component label to each object voxel based on the DZ distribution clusters; and post-processing the set of voxels identified as belonging to each component.

The invention discloses a kind of recognition system of vehicle ID of ETC electron without stopping to charging, which includes IC card of vehicle-carrying radio frequency containing the basic information of vehicle and several information channels connect with several sensors, and the information channels is combined by anabranch model of play chess information and the ratiocination algorithm of Bayes's network to complete the precious identification for vehicle ID. The invention anabranches the information of vehicle ID in non-contact intelligent IC card based on the anabranch theory of playing chess information, and the several source information can reach the optimized reliable judgment by the competition and the corporation in the anabranch model, and identify the real ID of vehicle, and ensures the reliability of identification, and the precision can reach above 99.99%, and the invest is little, and the reliability is well. The recognition system of vehicle ID does not occupy the source of host computer and improve the work efficiency of host computer. The identifying device is small and easy to install.

An object is to provide an image detector for bank notes which enables the cost to be lowered. Accordingly this has: a light emitting device 31 (31X) which is arranged facing an image detection sensor 24 (24X), and which irradiates light of a plurality of different wavelengths ranges towards a bank note on a bank note transportation path 12, and detects light of the light which has transmitted through the bank note with an image detection sensor 24 (24X); a light emitting device 27 (27X) which is provided on the same side as the image detection sensor 24 (24X), which irradiates light of a plurality of different wavelengths ranges towards a bank note S, and detects light of the light which is reflected from the bank note with the image detection sensor 24 (24X); an image detection sensor 24 (24Y) provided on the opposite side to the image detection sensor 24 (24X); and a third light emitting device 27 (27Y) provided on the same side as the second image detection sensor 24 (24Y), which irradiates light of a plurality of different wavelength ranges towards the bank note S, and detects light of the light which is reflected from the bank note S with the image detection image detection sensor 24 (24Y).

Ultrasonic pipeline inspection apparatus which utilises two different wave modes (e.g. a horizontally polarised shear mode and a symmetric Lamb wave mode) to discriminate different defect types by comparing corresponding signals collected from defects. EMATs may detect the signals. The detected amplitudes of the collected signals from both wave modes are compared to calculate a ratio, which may be compared with a distribution of ratio values for known defects to evaluate the type of defect detected. The apparatus may be a sensor module mountable on a pipeline vehicle and having a plurality of sensors distributed around its periphery.

The invention discloses a fault diagnosis comprehensive positioning method for an intelligent distribution network, and belongs to the field of fault monitoring. Based on a fault indicator, a wirelesscommunication technology and a ground fault line selection technology, the method comprises the following steps: monitoring zero-sequence voltage of a transformer neutral point in real time, startingzero-sequence fault diagnosis when detecting that a zero-sequence voltage change value exceeds a preset value, and identifying whether the zero-sequence voltage change value is a single-phase grounding fault; if the zero-sequence voltage change value is single-phase grounding fault, performing grounding line selection through a fault diagnosis device in a station, and positioning the grounding fault on a certain phase of a certain line; when the single-phase earth fault is judged to be a stable fault, recalling the real-time current data of the fault indicators on the fault phase line, comparing the signals collected by the fault indicators, comparing the difference of the real-time current data before and after a fault point, judging the two fault indicators with abrupt changes, and thendetermining the specific section of the fault. The method can be widely applied to the field of power distribution network operation fault monitoring and positioning.

The invention discloses a spam mail filtering system and method based on clusters. The system comprises a cluster module, a mail training module, a characteristic base storage module and a mail filtering module. The method includes that S1.1 training mails and unmarked mails are obtained from a mail backup system; S1.2 a cluster preprocessing module preprocesses the mails; S1.3 a cluster analyzing module divides the preprocessed mails into different clusters; S1.4 a cluster central computing module computes vector expression of the clusters; S1.5 the training module studies marked mails in the clusters and updates characteristic bases corresponding to the clusters; S2.1 mails required to be filtered are obtained from a mail system; S2.2 a mail class attribute distinguishing module calculates the cluster most similar to mail content; S2.3 a mail characteristic extraction module conducts characteristic extraction on the mails to be distinguished; S2.4 a mail distinguishing module shows a distinguishing result according to the mail characteristics and the corresponding characteristic bases. The system and method has the advantages of being high in extraction speed, high in accuracy and good in effect.

A analog/digital modulation type discrimination circuit 1 discriminates whether a reception signal is an analog modulation type, a linear modulation type or a non-linear modulation type by digital modulation type. In case where the reception signal is discriminated to be the analog modulation type, an analog modulation type discrimination circuit 2 discriminates whether it is an AM signal or an FM signal among the analog modulation type. In case where the reception signal is discriminated to be the linear modulation type by digital modulation type, a linear modulation type discrimination circuit 3 discriminates whether it is a BPSK signal, a QPSK signal, a π/4-shift QPSK signal, an 8-PSK signal, an M-ary PSK signal of multi-level exceeding 8-levels, a 16 QAM signal or a n M-ary QAM signal of multi-level exceeding 16-levels among the linear modulation type by digital modulation type. In case where the reception signal is discriminated to be the non-linear modulation type by the digital modulation type a non-linear modulation type discrimination circuit 4 discriminates whether it is an M-ary FSK signal, a 2-FSK signal, an MSK signal or a GMSK signal among the non-linear modulation type by the digital modulation type.

An information processing apparatus includes a face detecting unit that detects a face area included in image data, a face-component detecting unit that detects a face component from the face area detected by the face detecting unit, and a line-of-sight discriminating unit that executes line-of-sight discrimination processing for a face image from which the face component is detected by the face-component detecting unit. The line-of-sight discriminating unit executes processing for discriminating whether a line of sight of the face image data from which the face component is detected is in a positive state in which a line of sight is directed in a camera direction or a negative state in which a line of sight is not directed in a camera direction according to collation processing for a line-of-sight discrimination dictionary in which learning data including classification data corresponding to the respective states are stored and input face image data.

The invention relates to the field of milk powder quality detection and more specifically relates to a method for distinguishing milk powder original production places through an elemental analysis-stable isotope mass spectrometry. The method is characterized by comprising the following steps: S1, obtaining samples of milk powder imported from a plurality of Countries; S2, respectively performingstable carbon and nitrogen isotope detection on a plurality of samples, performing stable hydrogen and oxygen isotope detection and performing analysis; S3, performing microelement analysis on the plurality of samples; S4, utilizing a principle component analysis method for performing principle component analysis on elements in the plurality of the samples and primarily distinguishing the samplesof the milk powder from different original production places; S5, utilizing original production place information of the plurality of samples and analysis data in the S3 and S4 and discriminant analysis to perform statistical modeling to obtain an original production place discrimination model coefficient matrix and corresponding original production place discrimination prediction accuracy; S6, bringing unknown samples into the model to perform original production place discrimination and finally judging original production place attributes. By means of the method, original production place traceability and discrimination can be primarily performed on the milk powder; thus, convenience is brought to checking of milk powder quality and fighting of counterfeit and shoddy products.

The invention discloses a telecommunication fraud method for virtual number segments. The method includes the following steps that: the telecommunication fraud case data of the police and the communication data of an operator are obtained; data matching is carried out, so that an initial training set can be obtained; a random oversampling method is adopted to obtain positive and negative class equilibrium samples; the positive and negative class equilibrium samples are trained, so that a prediction model can be obtained; and the virtual number segment incoming call number communication characteristics of a user are introduced into the prediction model, so that a judgment result can be obtained. According to the method of the invention, the basic training samples are generated according to the existing communication data and the case data of the public security bureau; an Adaboost model is adopted to train samples based on the basic training samples, so that the telecommunication fraud judgment model can be obtained; calls are judged according to the judgment model; and therefore, with the method adopted, whether a virtual number segment is a telecommunication fraud can be judged accurately and fast according to the virtual number segment. The method has the advantages of high judgment accuracy, quick and convenient calculation and high applicability.

An image processing apparatus includes a document type automatic discrimination section that, based upon input image data read from a document, automatically discriminates a document type of the document. The document type automatic discrimination section, based upon plural types of parameters (quantity of halftone pixels, quantity of photographic-picture pixels, and quantity of high density pixels) obtained from plural types of characteristics (maximum density difference, total density busyness) extracted from the input image data and which parameters are used for discriminating a document type. A specific inkjet printed image whose output image data would not reach a standard level, if a process for a halftone reproduction region or a process for a continuous tone region were to be carried out on the input image data. This can improve the accuracy of document discrimination and the image quality of reproduced image.

The invention discloses a dynamic supervising method for gas-solid fluidized bed and the system. The method is: using wavelet analysis technology to analyze the pressure vibration signal, judging its flow state, displaying the flow state with capacitance chromatography imaging technology, measuring the aperture rate and its vibration of the fluidized bed, extracts the character value and carries on flow state judgment, using multi-sensor information melting technology to carry on flow state judgment, upgrading the accuracy of the judgment. The supervising system has a fluidized bed main body, under which there has a gas distribution board, gas chamber, on the external wall in the middle of the main body there arranges a capacitance chromatography imaging sensor, pressure sensor, the capacitance chromatography imaging sensor is connected to the tiny capacitance measuring model, data collecting system, and computer, the pressure sensor is connected to A/D converting card, and computer.

The invention provides a driving fatigue detection method and apparatus based on computer vision. The method includes the following steps: an on-board camera apparatus real-time acquiring an original video image of a driver; extracting each image frame containing a face part image of the driver from the original video image and each image frame containing the face part image serving as an object image frame; for the object image frame, positioning face part characteristic points so as to determine face part characteristic points, then on the basis of the obtained face part characteristic points, intercepting the object image frame and analyzing the object sub-images so as to determine whether the driver is driving at fatigue, wherein positioning face part characteristic points is conducted based on cascade regressions operation. According to the invention, the method and the apparatus have high accuracy and convenience.

The invention discloses a method and device for detecting a superposed stripe in a video image. The method comprises steps of: acquiring Y components in the current frame and the last frame of a video image in a YUV format, and calculating the difference data between the Y components of the two frames of the video image; smoothening the difference data to obtain a difference image; determining the global gradient and the local frequency domain of the difference image in order to determine whether the video image is provided with a superposed stripe. The device comprises a difference module, a smoothening module, a gradient determining module, and a frequency domain determining module. The method and the device shorten consumed time while improving determining accuracy so as to satisfy a real-time application requirement.

A coin denomination discriminating device for improving coin dispensing devices which incorporates components formed of non-magnetic material including a non-magnetic rotor having a coin receiving portion and a non-magnetic reference guide to guide coins from a storage coin holding bowl to a coin conveying device capable of selectively releasing coins of various denominations. Magnetic sensor units can be positioned along the coin movement path to provide characteristic signals representative of the coins independent of influence of metallic components in the transporting path. The non-magnetic members can be formed from wear resistant plastic material and relatively inexpensive magnetic sensors with coil and ferrite coils can be utilized adjacent the rotor.