26478 results about "Extraction methods" patented technology

Improved techniques are disclosed for permitting a user to employ more human-based grammar (i.e., free form or conversational input) while addressing a target system via a voice system. For example, a technique for determining intent associated with a spoken utterance of a user comprises the following steps/operations. Decoded speech uttered by the user is obtained. An intent is then extracted from the decoded speech uttered by the user. The intent is extracted in an iterative manner such that a first class is determined after a first iteration and a sub-class of the first class is determined after a second iteration. The first class and the sub-class of the first class are hierarchically indicative of the intent of the user, e.g., a target and data that may be associated with the target. The multi-stage intent extraction approach may have more than two iterations. By way of example only, the user intent extracting step may further determine a sub-class of the sub-class of the first class after a third iteration, such that the first class, the sub-class of the first class, and the sub-class of the sub-class of the first class are hierarchically indicative of the intent of the user.

Provided is pupil detection method and shape descriptor extraction method for an iris recognition, iris feature extraction apparatus and method, and iris recognition system and method using the same. The method for detecting a pupil for iris recognition, includes the steps of: a) detecting light sources in the pupil from an eye image as two reference points; b) determining first boundary candidate points located between the iris and the pupil of the eye image, which cross over a straight line between the two reference points; c) determining second boundary candidate points located between the iris and the pupil of the eye image, which cross over a perpendicular bisector of a straight line between the first boundary candidate points; and d) determining a location and a size of the pupil by obtaining a radius of a circle and coordinates of a center of the circle based on a center candidate point, wherein the center candidate point is a center point of perpendicular bisectors of straight line between the neighbor boundary candidate points, to thereby detect the pupil.

The performance of traditional speech recognition systems (as applied to information extraction or translation) decreases significantly with, larger domain size, scarce training data as well as under noisy environmental conditions. This invention mitigates these problems through the introduction of a novel predictive feature extraction method which combines linguistic and statistical information for representation of information embedded in a noisy source language. The predictive features are combined with text classifiers to map the noisy text to one of the semantically or functionally similar groups. The features used by the classifier can be syntactic, semantic, and statistical.

The present invention describes methods and systems for extracting, capturing, reducing, storing, sequestering, or disposing of carbon dioxide (CO₂), particularly from the air. The CO₂ extraction methods and systems involve the use of chemical processes, mineral sequestration, and solid and liquid sorbents. Methods are also described for extracting and/or capturing CO₂ via condensation on solid surfaces at low temperature.

Method and apparatus that use voice/audio recognition and analysis technologies to deliver assigned context sensitive information and data of interest (keywords, phrases, mood, etc.). Context sensitive information and data of interest can be extracted from any voice/audio transmissions and voice/audio recordings (or any transmission or recording that includes voice/audio) for advertising purposes. This invention includes the said assigned context sensitive information and data of interest extraction method using voice/audio recognition and analysis technologies. Most importantly, this invention opens up new doors to advertising using extracted context sensitive information and data of interest from voice/audio transmissions and recordings (or any transmission that includes voice/audio).

The present invention relates to a process for preparing a biomass, such as from a microbial fermentation, for an extraction process to separate desired chemicals, nutritional products, bioactive components, proteins, carbohydrates, and lipids, from the biomass. Particularly preferred substances to extract include docosahexaenoic acid, docosapentaenoic acid, and arachidonic acid. The present invention also includes extracting the prepared biomass. Biomasses to be treated in accordance with the methods of the invention include plant, animal, and microbial biomass, particularly a microorganism such as Crypthecodinium cohnii and a fungus such as Mortierella alpina.

Methods and apparatus are presented for extracting and collecting bone material from an extraction site of a patient. The method and apparatus further provides a readily accessible, and easily harvested, source of bone material without the drawbacks of current extraction methods.

A method and apparatus for extracting CO₂ from air comprising an anion exchange material formed in a matrix exposed to a flow of the air, and for delivering that extracted CO₂ to controlled environments. The present invention contemplates the extraction of CO2 from air using conventional extraction methods or by using one of the extraction methods disclosed; e.g., humidity swing or electro dialysis. The present invention also provides delivery of the CO₂ to greenhouses where increased levels of CO₂ will improve conditions for growth. Alternatively, the CO₂ is fed to an algae culture.

A method and apparatus is provided for decoding an encoded baseline video stream and an enhancement stream. The baseline video stream is decoded, upscaled and enhanced by applying adaptive filters specified by the enhancement stream. Baseline upscaled images are then coded to motion compensate enhanced high resolution images using previously decoded enhanced images, thus recycling these enhanced images. The enhancement stream provides the best predictor method for the decoder to combine blocks from previous enhanced images and upscaled images to produce a motion compensated enhanced image. Likewise, forward and backward motion compensated images are blended according to feature classification and filter extraction methods provided by the enhancement stream to produce a bidirectionally predicted frame. Lastly, the decoder applies residual data from the enhancement stream to produce a completed enhanced image.

The present invention is intended to allow a user to easily and precisely extract related terms through use of mutual information without requiring morphological analysis or syntax analysis, by constituting a related term extraction apparatus from preceding-and-subsequent term extraction means for extracting a preceding term occurring prior to a specified term or a subsequent term occurring subsequent to the same in text data; a frequency calculation means for calculating the occurrence frequencies of the specified term, the preceding terms, and the subsequent terms; probability-of-occurrence calculation means for calculating the occurrence probabilities of the preceding and subsequent terms together with the occurrence probability of the specified term; probability-of-concurrence calculation means for calculating the probabilities of the preceding and subsequent terms cooccurring with the specified term; order-dependent degree-of-association calculation means for calculating an order-dependent degrees of the preceding and subsequent terms cooccurring with the specified term; order-independent degree-of-association calculation means for calculating an order-independent degrees of occurrence of the preceding and subsequent terms with the specified term; and term group extraction means for extracting from the text data a group of terms related to the specified term, on the basis of the degree-of-association information calculated by the order-independent degree-of-association calculation means.

Region-of-interest cropping of high-resolution video is supported video compression and extraction methods. The compression method divides each frame into virtual tiles, each containing a rectangular array of macroblocks. Intra-frame compression uses constrained motion estimation to ensure that no macroblock references data beyond the edge of a tile. Extra slice headers are included on the left side of every macroblock row in the tiles to permit access to macroblocks on the left edge of each tile during extraction. The compression method may also include breaking skipped macroblock runs into multiple smaller skipped macroblock runs. The extraction method removes slices from virtual tiles that intersect the region-of-interest to produce cropped frames. The cropped digital video stream and the compressed digital video stream have the same video sequence header information.

The present invention relates to extraction process of total tanshin phenolic acid, the preparation process and application of its preparation. The total tanshin phenolic acid and its preparation mayuse in preparing medicine for preventing and treating cardiac and cerebral vascular diseases, senile dementia and hypomnesia caused by cerebral ischemia. The total tanshin phonelic acid prepared based on the process of the present invention has rich active components of tanshin and obvious pharmacological effect, stable performance and les stoxicity and is safety and reliable.

A charged particle beam irradiation system and a charged particle beam extraction method which can prevent erroneous irradiation of a charged particle beam in the direction of advance of the charged particle beam. The system and method are featured in stopping supply of an ion beam to one or more of a plurality of angle zones in each of which a target dose is attained, the angle zones being formed by dividing an RMW in a rotating direction thereof, and in allowing the supply of the ion beam to one or more other angle zones in each of which a target dose is not yet attained. The invention can easily adjust beam doses at various positions in an affected part of the patient body in the direction of advance of the ion beam, and can greatly reduce the probability of erroneous irradiation that the beam dose becomes excessive or deficient at the various positions within the affected part of the patient body in the direction of advance of the ion beam.

The invention relates to an extraction method for early failure sensitive characteristics based on ensemble empirical mode decomposition (EEMD) and wavelet packet transform. The extraction method for the early failure sensitive characteristics based on the EEMD and the wavelet packet transform includes the following steps: (1), collected original vibration signals of mechanical and electrical equipment are decomposed according to the EEMD, white noise is added, and intrinsic mode function (IMF) components are obtained through decomposition; (2), the sensitive IMF components closely related to failure are chosen, and other irrelative IMF components are ignored; (3), the sensitive IMF components chosen through step (2) are decomposed in an orthogonal wavelet packet mode, and a wavelet coefficient of each node is obtained; and (4), envelopes are extracted from the obtained wavelet packet coefficients by adoption of the Hilbert transform and the Fourier transform, power spectrums are calculated, the power spectrum corresponding to each wavelet packet coefficient is obtained and serves as the early failure sensitive characteristic , and the sensitive characteristics are automatically obtained. Self-adapting signals can be decomposed, the sensitive characteristics can be convenient to obtain automatically, diagnosis precision and speed are improved, and a mechanical and electrical system can be diagnosed quickly, accurately and stably. The extraction method for the early failure sensitive characteristics based on the EEMD and the wavelet packet transform can be applied to the field of mechanical and electrical equipment failure diagnosis.

The invention discloses a depth extraction method of merging motion information and geometric information, which comprises the following steps: (1) carrying out scene segmentation on each frame of two-dimensional video image, and separating the static background and the dynamic foreground; (2) processing a scene segmentation chart by binaryzation and filtering; (3) generating a geometric depth chart of the static background based on the geometric information; (4) calculating the motion vector of the foreground object, and converting the motion vector into the motion amplitude; (5) linearly transforming the motion amplitude of the foreground object according to the position of the foreground object, and obtaining a motion depth chart; and (6) merging the motion depth chart and the geometricdepth chart, and filtering to obtain a final depth chart. The method only calculates the motion vector of the separated dynamic foreground object, thereby eliminating the mismatching points of the background and reducing the amount of calculation. Meanwhile, the motion amplitude of the foreground object is linearly transformed according to the position of the foreground object, the motion amplitude is merged into the background depth, thereby integrally improving the quality of the depth chart.