378 results about "Segment length" patented technology

The method and apparatus operates in a VCR to identify selected broadcast segments, such as commercial advertisements, of a television signal in real-time for the purpose of suspending recording of the television signal during each unwanted segment. A signature pattern associated with each segment of the television signal is detected and compared to stored signature patterns representative of selected segments such as commercial advertisement segments. If the signature pattern matches one of the stored signature patterns, the segment is thereby immediately identified as being one of the selected segments and is processed in real-time to suspend recording during the segment. If the signature pattern of the segment does not match any of the stored signature patterns, the segment is analyzed to determine whether the segment is nevertheless a selected segment and, if so, its signature pattern is stored along with the stored signature patterns. The analysis to determine whether the segment is nevertheless a selected segment is performed by detecting the length of the segment upon its completion and then determining whether the length of the segment matches one of a pre-determined set of permissible selected segment lengths such as standard commercial advertisement segment lengths of 15 seconds, 30 seconds, or 60 seconds. If so, the segment is identified as being a selected segment and its signature pattern is stored along with the other stored signature patterns such that, the next time the same segment is encountered, its signature will then match the stored signature and therefore the segment can be immediately identified and recording of the segment can be immediately suspended.

An automatic adaptive dimensioning program for CAD software in which dimension annotations are created by the CAD program automatically as an object is drawn and automatically associated with the object. Thereafter, changing the length of the object automatically changes the associated dimension annotation, or alternatively, changing the associated dimension annotation automatically changes the length of the object. When another object is interposed into or superposed onto an intermediate position of the existing object, the automatic adaptive dimensioning annotation feature of the invention automatically creates dimension annotations corresponding to the position of the new object relative to the existing object. The new object can be automatically positioned in relation to the existing object by specifying interposition dimensions or segment lengths in the dimension annotations.

A method for determining a cutting trajectory that enables a curve section of a lane to be cut by a vehicle. In the method, information about the curve section is received, and the curve section is divided into at least one curve segment having a segment length and a start curvature, the curve segment being a straight-line segment or a circular arc segment or a curve segment whose curvature is a function of an arc length of the curve segment. This is followed by determination of a cutting trajectory from the at least one curve segment, so that, at a specific point of the curve section, the cutting trajectory has a predetermined offset relative to a center of the lane.

A Method for visualizing audio data corresponding to a piece of music, comprising the steps of: determining a structure of said piece of music based on said audio data, said structure comprising music structure segments each having a music structure segment length; allocating a predetermined graphical object to said piece of music, said graphical object having a predetermined size; segmenting said graphical object into graphical segments, wherein each graphical segment has a size representing said music structure segment length; and displaying said graphical object and said graphical segments on a display.

Delivery of short audio communications to remote end user devices uses discrete message-oriented service messages for delivery of the audio messages. Audio information is captured, encoded by means of audio compression technology, and stored at a message center. Alternatively, the audio information may be stored in an uncompressed format and compressed immediately before delivery. The compressed audio information is transmitted by means of Short Message Service or another discrete message-oriented service to the end user device, where it is decompressed and played to the recipient. Message delivery can be accomplished in parallel with some other ongoing activity at the end user device. The major fields in a Short Message Service message used to carry encoded audio information are a Type of Data field, including information on the type of translator needed to decompress the message field, a Short Message Identifier, a Length field, and the coded audio information. If the audio information is too large to be contained in a single Short Message, segmentation and reassembly techniques commonly known in the art are applied to break the information into segments, each of which is placed into a separate Short Message having the fields: Type of Data; Short Message Identifier; Total Segments; Number of Enclosed Segment; Segment Length; and Coded Audio Information Segment. At the end user device, the Short Message can be stored until the end user listens to the audio information. The intervening network can be a radio link, the Internet, or some other network. The invention may also be utilized by a mobile user to send short audio messages to a message center and / or a second end user device.

A depth learning-based road network traffic situation forecast method comprises the following steps of S1, acquiring multi-source traffic data and road network static configuration information, and building a traffic flow parameter model, wherein the multi-source traffic data comprises internet road segment speed data, detector flow data and signal machine control scheme data, and the road networkstatic configuration information comprises road network space geographical position information, intersection number, road segment class, road segment length, road segment number, lane number and lane function; S2, analyzing road network congestion relevancy, and building a basic forecast group; S3, building a dual-stage attention mechanism-based depth learning traffic situation forecast model; and S4, building a traffic situation forecast system. The forecast accuracy and the transportability are relatively good.

The invention a data rarefying and smooth processing method based on a vector map. The method mainly comprises the following steps: the data volume is reduced by rarefying curve characteristic points, and the protruded edge problem is solved by smoothly processing closed curve characteristic points. The curve characteristic points are compressed by setting different segment length threshold values, angle threshold values and vertical distance threshold values, and unsmoothed broken lines are smoothly processed through the smooth processing algorithm, so the display effect of closed curves having disadvantages of large curvature change and protruded edges can be effectively improved.

A GPS receiver acquires carrier frequency and Gold code phase using short segments of a received GPS signal. In one embodiment, a 1-ms segment of the GPS signal is transformed to the frequency domain. This is multiplied by a frequency representation of the Gold code. The resulting product is converted to the time domain, and a peak is detected. The location of the peak corresponds to the code phase. If no peak is located, the carrier frequency is changed. Full- and half-bin steps in carrier frequency are considered. Processing gain is achieved by using longer segments of the input signal, for example 4 or 16 ms and integrating 1-ms segments. Considerations are provided for compensating for the effects of a transition, should it occur in the short segment of the GPS signal being processed. Integrations can be performed using non-coherent and coherent techniques. Adjustments are made for non-integral millisecond segment lengths.

The present invention belongs to voice field of technology, pronunciation quality evaluation method of computer Computer Aided Language Learning system includes: calculation of the matching fraction, calculation of the sensing fraction based on Mel frequency scale, calculation of the segment length fraction and calculation of the keynote fraction, and processing fusion after mapping the above fractions; the pronunciation quality evaluation method of the invention has better robustness, high pertinency with the expert evaluation, used for interactive language learn and automatic spoken language test.

The invention relates to high-temperature resistant optical fiber and a method for manufacturing the same and belongs to the technical field of special optical fiber communication and high-power laser communication and sensing. The high-temperature resistant optical fiber comprises optical fiber and a coating coated on the outer surface of the optical fiber, wherein the coating is the polyimide coating of which the single-sided thickness is 5 to 25mum, the Young modulus of the cured polyimide coating is equal to or more than 2GPa, the glassy state transition temperature is equal to or more than 300 DEG C, and the range of refractive index is 1.38 to 1.78; and the polyimide coating if formed by dipping the solution of polyimide on the outer surface of the optical fiber, and then heating the fiber to cure the solution of the polyimide, and the whole process comprises pre-coating, pre-curing and secondary coating. The high-temperature resistant optical fiber can be used at a high temperature and under severe working conditions; and when the high-temperature resistant optical fiber is used for a long time, the temperature reaches 300 DEG C, the operational performance is stable, and good persistence is kept. The high-temperature resistant optical fiber product, manufactured by the method, possesses a screening strength of 100kpsi and a segment length of 4km, even 6km.

The present invention discloses a method of processing a sports video. The method includes the steps of: analyzing the sports video to detect at least one semantic event and each of the at least one semantic event associated with a segment length; and generating a summarized video according to the detected at least one semantic event.

The invention relates to a method for reducing the number of data IP fragments in packet domain network, and its kernel: packet network device regulates MSS parameter value of maximum transfer unit carried in TCP connection information between terminal and service according to the set MSS parameter threshold and sends out the regulated TCP connection information; the terminal or server learns a longest message segment length supported by the opposite terminal through MSS parameter carried in the TCP connection information, and compares this longest message segment length with its own longest message segment length, and selects the smaller value to make segment handling on TCP transfer data. And the invention can reduce IP packet fragments between packet network devices by regulating MSS parameter value, reduce data packet handling delay and improve packet device handling ability.

The invention discloses an improved position and orientation estimation method based on a Tsai algorism.The method includes the steps that a utilized camera is subjected to calibration, and the camera focal length is obtained; under the currently utilized position and orientation of the camera, five or more coplanar feature points in the space are subjected to imaging, any feature point P0 in the feature points serves as an original point to establish a world coordinate system, and world coordinates and image coordinates of the feature points are obtained; the rotation matrix R of a camera coordinate system relative to the world coordinate system is solved through the Tsai algorism; the translation vector T of the camera system where the camera is located relative to the world coordinate system is solved according to the rotation matrix R, the camera focal length and obtained segment length between every two feature points; position and orientation parameters of the camera are solved according to the rotation matrix R and the translation vector T.The improved position and orientation estimation method has the advantages that on the basis of solving the rotation matrix R through the Tsai algorism, the solving process of the translation vector T is improved, precision and real-time performance of position and orientation estimation are improved, and thus the application range is greatly improved.

The invention relates to an important point-based time sequence fixed segmentation algorithm. According to the main technical characteristics, the algorithm comprises the steps of performing normalization processing on time sequence data; calculating segmentation fitting errors and performing sorting according to priorities of the segmentation fitting errors from high to low; extracting first k segments with maximum fitting errors and performing sorting from long to short according to segment lengths of a time sequence; extracting first two segments sorted according to the segment lengths, and performing fitting preprocessing; and comparing symbol and value relationships of maximum values and minimum values of the fitting errors in segmentation, determining important points to perform segmentation, progressively increasing the number of the important points, and performing loop iteration until a fixed segment number is reached. The algorithm is reasonable in design, greatly reduces the fitting errors, improves the segmentation efficiency, has very good fitting effect and adaptability, and can be widely used in the fields of time sequence prediction, clustering, anomaly detection and the like.

The invention discloses a velocity look-ahead preprocessing method oriented to efficient processing of tiny line segments. The velocity look-ahead preprocessing method comprises the steps of dynamically and adaptively selecting the number of look-ahead preprocessing segments, and performing optimization preprocessing on the cutting velocity of each look-ahead segment to guarantee a high feed velocity and smooth join; the velocity look-ahead preprocessing method comprises the two steps of adaptive selection of the look-ahead segments and pre-calculation of the optimal join velocity; a numerical control system adaptively selects the look-ahead preprocessing segments by determining the positions of inflection points according to the processing path change trend; according to the path change trend of the look-ahead segments, firstly, the final velocity of each look-ahead segment is roughly estimated, and then the optimal join velocity of each look-ahead segment is accurately planned according to the instruction velocity, the rough estimated value of the final velocity, the accelerated velocity and the segment length constraint of each look-ahead segment. The velocity look-ahead preprocessing method oriented to the efficient processing of the tiny line segments is high in velocity, and capable of realizing efficient and smooth join of the feed velocity to meet the velocity control requirements of high-velocity digital numerical devices.

The invention provides a staggered well arranging method for ultra-low permeability tight oil reservoir volume fracturing horizontal well quasi-natural energy exploitation. The method comprises the steps of 1) firstly carrying out comprehensive geological research, selecting a horizontal well network deployment area preferably, carrying out reservoir classification evaluation, and determining a main contribution interval; 2) optimizing the horizontal segment length; 3) optimizing the well spacing; 4) optimizing the segment distance between fracturing fractures; 5) determining the array distance. The method can utilize the natural energy oil drainage function of horizontal well volume fracturing fracture networks to the greatest degree and avoids the risk of water breakthrough in water flooding exploitation; volume fracturing retention fluid achieves the effects of replenishing energy at an early stage.

The invention relates to a determination method for an initial well deviation azimuth angle of a three-dimensional horizontal well borehole trajectory and belongs to the technical field of petroleum natural gas drilling. The determination method comprises the following steps: determining a final target-entering deviation angle and a well deviation azimuth angle according to parameters of a target point A and a target point B; determining a minimum stable deviation section length and a well deviation angle behind a twisting direction by using a vertical depth error of the target point A; determining a deviation change rate of a deviation change tool according to a deviation change capability of a drilling tool needing to be used; determining a borehole curve rate needed by a needed entering sleeve according to a sleeve type needing to be adopted; predicating a natural deviation change rate of a stratum according to adjoining well data; determining a first two-dimensional deviation increasing section maximum well deviation rate and a three-dimensional deviation increasing and twisting direction finishing point maximum deviation increasing rate; and combining the parameters to determine the initial well deviation azimuth angle of the three-dimensional horizontal well borehole trajectory. The quantified design is realized, and field drilling and oriented construction are convenient to realize; the oriented working amount is reduced and the drilling engineering cost is reduced.