73 results about "Ambiguity problem" patented technology

A clock recovery circuit and a method for reducing electromagnetic emission (EMI) and increasing an attainable clock frequency includes a spread spectrum clock (SSC) generator that receives an input clock signal and generates a frequency-modulated clock signal, and a zero-delay buffer circuit that receives and buffers said modulated clock frequency signed to generated an output clock signal. The frequency-modulated clock signal and the output clock signal are phase-aligned such that there is no phase difference between the output clock signal and the modulated frequency clock signal. The clock recovery circuit also includes a delay-locked loop (DLL) circuit that reduces related art jitter and skew characteristics, and a phase detector circuit that eliminates phase ambiguity problems of a related art phase detector.

Disclosed are a hybrid automatic translation method and apparatus employing a combination of a rule-based method and a translation pattern method, and a computer readable medium thereof, which is capable of solving an ambiguity problem of the conventional rule-based method and a pattern generation and coverage problem of the translation pattern method. The hybrid automatic translation apparatus includes: a morpheme analyzing block for analyzing a morpheme of an inputted source sentence and determining parts of speech; a syntactic structure analyzing block for parsing the tagging result to output a parsing tree; a construction pattern generating block for extracting only a chunking result of phrases belonging to sub-category from the parsing tree to generate a construction pattern; a construction pattern translating block for translating the construction pattern by using a translation pattern; a clause structure analyzing block for analyzing a clause unit structure of the if the translation pattern matching of the construction pattern fails; and a partial pattern translating block for performing a pattern translation of partial construction pattern according to the result of the clause structure analysis to output a final translation result.

A method and system for determining surface topology of a three-dimensional (3D) structure, based on a structured pattern that is projected onto the surface structure, and images of the pattern superposed on the structured surface are analysed to provide surface coordinates of the structure. The pattern comprises a plurality of unique color edges defined between pairs of differently-colored stripes, which substantially overcomes ambiguity problems. In one embodiment, a calibration method is provided enabling the surface coordinates to be obtained from a single image of the structure.

A method for detecting an intruder in a protected space that uses a microwave frequency sensor to determine an accurate distance measurement to the intruder. The accurate distance measurement reduces the false alarms typically associated with microwave frequency sensors due to motion outside the protected space and vibration within the protected space. The motion detector transmits three microwave frequency signals of different frequencies in order to eliminate an ambiguity problem when determining the accurate distance measurement. The accuracy of the intruder distance measurement may be determined with greater resolution by reiteratively transmitting and evaluating microwave frequency signals of different frequencies. The motion detector of the present invention may include a PIR sensor. The accurate distance measurement allows the motion detector to precisely set signal threshold levels for the microwave frequency detector and the passive infrared detector to reliably detect an intruder while discriminating against an animal or other moving object.

The invention discloses a virtual hair style modeling method of images and videos. The method firstly uses digital equipment to perform data collection on a target figure, and obtains an area of a hair style part by division; then the direction ambiguity problem of an image hair style direction field is solved, a static hair style model which is uniformly distributed and satisfies the hair style area of an original image is obtained, the movement of the hair style in a video is calculated by tracking head model movement and estimating non-rigid deformation, and a dynamic hair style model of each moment in the movement process is generated to naturally fit to real movement of the hair style in the video; the method is used for performing virtual three-dimensional model reestablishment on the hair style of a figure in a single image and video sequence, and can be widely applied to creation of virtual roles in related field such as the digital media and hair style editing applications of a plurality of images and videos, such as portrait three-dimension, hair style movement simulation, interactive hair style editing and so on.

The invention discloses a method for identifying actions in a video based on continuous multi-instance learning. The method comprises the following steps that: 1, film data used as training data sample sets are collected from video websites, pre-processing is simultaneously carried out on subtitles and scripts collected on the websites, and action description in the scripts is used as video grade weak marks of training data; 2, a video is cut into a plurality of video fragments through the weak marks, each video fragment is composed of one action, and for each action, action classifiers based on the continuous multi-instance learning are trained by means of the video fragments; 3, a user inputs a video to be identified into the plurality of trained action classifiers, and the probability that each frame of the video to be identified belongs to the action is calculated; and 4, the action type of each frame is obtained by a video cutting model, and the action types are returned to the user. The method solves the problem that manual marking wastes time and labor, and ambiguity problem caused by the weak marks and turning frames is simultaneously relieved.

A serial bit transparent data transferring technique eliminating the bit ambiguity problem of the standard time-division multiplexing/demultiplexing architecture without introduction of any extra latency. A serializer multiplexer converts input parallel data words into a serial data bit stream under control of a serializer timing circuit. An output multilevel buffer retimes the serialized data and increases the amplitude of certain bits with a preselected value to mark positions of out-going serial data words. The bits are defined by a serializer digital data converter also controlled by the same timing circuit. The imposed marking pulses are retrieved from the input serial data stream by a multilevel input detector of a deserializer timing circuit and used for the synchronization of the demultiplexing operation. As a result, the deserializer directly reconstructs the original bit order from the serial data bit stream with no extra bits, thus providing minimal possible latency and full data rate.

The invention discloses a double sound source localization method based on a consistent focusing transform least square method. According to the method, a predesigned six-element circular microphone array is applied to acquire sound source signals, and the covariance matrix of the acquired signals is acquired; a focusing transform matrix is defined by utilizing the center frequency point of frequency range, and the focusing transform matrix is solved by the least square method; and a signal spatial spectrum corresponding to each center frequency point is acquired by utilizing the center frequency points of different bandwidths, a consistent focusing matrix and a multiple signal classification method, and then the average estimation value of the signal spatial spectrum is obtained by utilizing the average value of the frequency points and a time snapshot estimation method (MUSIC) so that a sound source azimuth angle estimation value is acquired. The method is high in sound source localization estimation accuracy so that an azimuth ambiguity problem can be effectively overcome.

The invention discloses a dimensional and planar object pose recognition method, which does not need the prior matching information of any object point and image point. In the method, the pose is calculated based on a plane point set, which is independent of the geometric shape of a planar object; the ambiguity problem under the calculation of the pose of the planar object is solved through the calibration of Tsai planar targets. As no additional diagnostic information is needed in the method, the conditional restrictions of computing the poses of dimensional and planar objects are reduced; the application scope of computing poses is widened; the method is very robust in blocked and confused environment under the circumstance of noise with different levels, which is very valuable in application.

The invention provides a home appliance voice control method which comprises the steps that: a voice control terminal binds a equipment list of a current scene; equipment functional instructions corresponding to home appliance information in the equipment list are added into a basis control instruction set and a pan-control instruction set; the voice control terminal monitors a user control voiceinput, calls a voice identification interface to convert user control voice into a control text, and sends the control text to a cloud server side to carry out statement attribute extraction; the cloud server side carries out mapping on control command words and the pan-control instruction set, carries out filtering on a mapping result by the equipment list, and generates a pan-control instructionmatched with the home appliance information from the control command words. According to the invention, the home appliance information matched with the user control voice can be more accurately identified, execution of specific types of home appliances on specific functions and distinguishing of the same type of home appliances are implemented, accuracy of home appliance voice control is improved, a user control voice ambiguity problem is solved, and high-efficiency user control voice identification and execution are implemented.

The invention discloses a face structure light three-dimensional measuring system. According to the system, three-dimensional surface morphology measurement of objects including diffuse reflection objects, mirror-like objects and mirror objects which have the different roughness is achieved by organically integrating stripe projection structure light illumination with stripe reflection structure light illumination together and adopting a compound iteration algorithm, and therefore the limitation that measurement objects of a traditional measuring system are single is overcome. The system is mainly composed of a digital projection module (DLP), an LCD, a lens, a beam splitter and a CCD camera, the structure is compact, the system ambiguity problem existing when the system adopts stripe reflection structure light illumination is eliminated only through one lens, and the three-dimensional surface morphology of the objects with the different roughness can be measured at higher precision. The face structure light three-dimensional measuring system can measure the three-dimensional surface morphology of the objects with the different roughness at high precision.

The invention discloses an external radiation source radar direct wave recovery method adopting blind source separation. The method comprises the following steps that: (1) a linear array receives signals x1(n), ..., xN(n), and a digital wave beam is formed; (2) wave beam signals yS(n) of a reference radio station and wave beam signals y1(n), ..., yJ(n) of J interference radio stations are input into an instant ICA (independent composition analysis) blind source separation module, then output signals p0(n), p1(n), ..., pJ(n) of the blind source separation are sent to an ambiguity-resolving processing module, and obtaining the signal q(n) of the reference radio station; (3) yl(n) is input into a plurality FIR (finite impulse response) filters of a spatial domain-fast time domain module, two-dimensional self-adaptive filtering processing is carried out through a multi-dimensional spatial domain-fast time domain algorithm, and a monitoring channel signal z(n) is output and obtained; and (4) based on the signal q(n) of the reference radio station and the monitoring channel signal z(n), a time delay Doppler plane of a target is calculated. According to the invention, the sequence ambiguity problem of output signals of the blind source separation method is solved, and the reliable reference radio station direct wave recovery is ensured.

The invention provides a text-summarization generating method based on a neural network. The text-summarization generating method based on the neural network includes the steps that an input documentis subjected to word segmentation and vectorization expression, and word vectors are obtained; all obtained word vectors of all sentences are input into a first layer of a first circulation neural network in sequence, and state vectors of the sentences after current word vectors of the sentences are input are obtained, wherein the state vectors of the corresponding sentences after the last word vectors of all the sentences are input represent sentence vectors of the sentences; all the sentence vectors are input into a second layer of the first circulation neural network in sequence, and corresponding document state vectors after all the sentences are input into the document are obtained, wherein the corresponding document state vector after the last sentence is input is a state vector of the whole document; expression of the input document is decoded through a second circulation neural network, and summarization is generated. According to the text-summarization generating method basedon the neural network, the cost problem when summarization is manually generated is solved, and meanwhile the information fragmentation problem and the information ambiguity problem which are caused by a sentence extraction method are solved.

The invention provides a multi-stage framework based OQPSK signal big-frequency-offset carrier synchronization method. The multi-stage framework based OQPSK signal big-frequency-offset carrier synchronization method comprises the steps of performing rough estimation of a carrier frequency by utilizing an iterative time delay multiplication forward frequency estimation method so as to realize rapid locking of the carrier; realizing synchronous estimation of a carrier phase and bit information by adopting a joint estimation method of combining carrier synchronization with bit synchronization for residual frequency offset phase positions; and eliminating 180-degree integral multiple ambiguity problem of the carrier phase by using an unwinding and unfolding method, and realizing precise estimation of the carrier phase by adopting an automatic sliding window accumulation method. The problem of mutual interference between carrier phase synchronization and clock synchronization in existing OQPSK modulation is solved, big-frequency offset rapid capture of the carrier frequency is realized at the same time, and extremely small phase jitter exists after the capture.

The invention discloses a negotiation method for security level, which comprises: sending self-selected clear security level to opposite party in second-step information of SIP by improving prior art; in the third step, creating security communication channel according to the level; fourth step, the transmitter echoes received opposite selected security level; in fifth step, the receiver checks and affirms opposite response. This invention eliminates the probable ambiguity problem, and fit to both equal and asymmetric negotiations.

The present invention provides an object motion identification method based on a multi-channel continuous-wave Doppler radar. One antenna is employed to emit electromagnetic wave to irradiate the surface of a motion object to be measured, the reflected signals are received by 2-3 receiving antennas and are subjected to down conversion to a base band, the arcsine algorithm is employed to demodulate the phase information without the phase ambiguity limitation, the distance changing information between each receiving antenna and the motion object is obtained, the track formula is employed to obtain the object's motion track, and the mode identification is performed on the basis of the motion track. The object motion identification method based on the multi-channel continuous-wave Doppler radar can avoid the phase ambiguity problem of the arc tangent class function, is applied to the work condition with high the sampling rate and work condition with the low sampling rate and keeps the accuracy in the condition with the low sampling rate. The mode identification is realized on the basis of location and tracking of the object to be measured. The identification accuracy is high, the anti-interference capability is high, the configuration is simple, and the cost is low, the most of the demodulated motions are the linear relation with no need for the complex data processing process, and the hardware resource is saved.

The invention provides a relative position measurement method through radio positioning and a measurement device thereof. The measurement device comprises a transmitting unit, receiving units and a signal processing unit. Receiving signals of each receiving unit are extracted by recording the position of each receiving unit, the distance between all the receiving units and the distance between each receiving unit and the transmitting unit under the initial state so as to solve phase information. The position of the transmitting unit relative to a platform can be solved according to the space quadrilateral geometric relation of the receiving units and the transmitting unit. The phase ambiguity problem is solved, and measurement of the direction and the relative position of moving points can be realized through transmitting signals of single frequency so that the system is easy to realize, high in reliability and low in influence of external factors and can control the moving distance and the position of the moving nodes in real time and can be widely applied to the system requiring long-term monitoring and early warning.

The invention provides an image semantic disambiguation method and device based on the image and text semantic similarity. The method comprises the steps that each meaning of a polysemous word is represented with a mean vector; a to-be-processed image is labeled with an image significance label to obtain a label of the to-be-processed image, and the label and image content of the to-be-processed image are converted into the form of vectors to obtain a fusion vector of the to-be-processed image; and the similarity between the fusion vector of the to-be-processed image and each mean vector is calculated by means of the cosine similarity, the mean vector with the highest similarity is found out, and the meaning corresponding to the mean vector with the highest similarity is determined as thecorrect interpretation of the to-be-processed image. According to the method, the image is converted into the vector by adopting the method of combining the image with the text, the image interpretation and image query ambiguity problems are solved, and effective image disambiguation is creatively achieved; and the image query and interpretation accuracy is greatly improved, and the error rate ofthe image interpretation is decreased.

The invention belongs to the beam forming field in the array signal processing, and mainly relates to a method of analyzing and lowering resource consumption of hardware for the broadband beam forming. The invention aims at providing a broadband beam forming design method for lowering the hardware resource consumption, the method is realized completely aiming at the hardware engineering, and the resource consumed by the system can be lowered while realizing the broadband beam forming. The complex operation processing used in the traditional broadband beam forming is rejected, and the operation is performed on the real number. The received real number signal is directly processed without firstly performing the digital down-conversion to convert the received real signal into I/Q two paths. Therefore, the resource consumed by a FARROW structure when forming the broadband bean forming can be reduced, and then the real signal is converted into the complex signal; the phase ambiguity problem of the real signal can be avoided, and the influence on the subsequent signal processing is avoided.

The invention discloses an identification method and device for a core product word in a title, and relates to the technical field of computers. When a word2vec model generates a word vector of a word, previous and next words adjacent to the word or words near the word in the title can be referenced, and therefore word vectors generated by the same word in different contexts are different; meanwhile, the n-gram characteristics of the product word contain the previous and next words adjacent to the product word or the words near the product word in the title, the context of the product word can be expressed, and therefore the n-gram characteristics are obtained by the same word in different contexts are different; accordingly, word vector expressions for the n-gram characteristics are different, results obtained when identification is conducted through a core product word identification model are different, the ambiguity problem of identification of the core product word in the title is solved, and the accuracy rate is increased.

The invention discloses a method and a system for acquiring answers of tax business questions based on semantic graphs, and belongs to the technical field of intelligent questions and answers. The method comprises the steps of defining a question Q and an answer of the question Q according to a state transition graph G, and mapping a semantic interpretation process of the question Q into a sub-graph sub-G query process of the state transition graph G; generating a logic expression; action transfer and conditions in the logic expression are repeated; and obtaining a tax business problem, inputting the tax business problem into the model, checking whether the tax business problem completes the logic expression X, and outputting a tax business problem answer when the tax business problem completes the logic expression X. The semantic parsing process is mapped into the retrieval process of the query graph, so that the retrieval space of problem parsing is reduced, the operation between entities is judged by using the deep convolutional neural network, and the predicate synonym ambiguity problem mentioned in the preamble is solved.