310results about How to "Increase the amount of calculation" patented technology

An example game system includes a home-console type game device and a terminal device. The terminal device includes a touch panel and an inertia sensor, and wirelessly transmits to the game device operation data including touch panel data and inertia sensor data. The game device receives the operation data from the terminal device, and performs game processes based on the operation data. Moreover, the game device generates first game images and second game images based on the game processes. The first game images are compressed, and the compressed image data is wirelessly transmitted to the terminal device. The second game image is output to, and displayed on, an external display device which is separate from the terminal device. The terminal device receives the compressed image data from the game device, expands the received compressed image data, and displays the first game images on a display section.

A high speed technique for options pricing in the financial industry is disclosed that can provide both high throughput and low latency. A parallel / pipelined architecture is disclosed for computing an implied volatility in connection with an option. Parallel / pipelined architectures are also disclosed for computing an option's theoretical fair price. Preferably these parallel / pipelined architectures are deployed in hardware, and more preferably reconfigurable logic such as Field Programmable Gate Arrays (FPGAs) to accelerate the options pricing operations relative to conventional software-based options pricing operations.

A high speed technique for options pricing in the financial industry is disclosed that can provide both high throughput and low latency. A parallel / pipelined architecture is disclosed for computing an implied volatility in connection with an option. Parallel / pipelined architectures are also disclosed for computing an option's theoretical fair price. Preferably these parallel / pipelined architectures are deployed in hardware, and more preferably reconfigurable logic such as Field Programmable Gate Arrays (FPGAs) to accelerate the options pricing operations relative to conventional software-based options pricing operations.

An embodiment of an apparatus for computing control information for a suppression filter for filtering a second audio signal to suppress an echo based on a first audio signal includes a computer having a value determiner for determining at least one energy-related value for a band-pass signal of at least two temporally successive data blocks of at least one signal of a group of signals. The computer further includes a mean value determiner for determining at least one mean value of the at least one determined energy-related value for the band-pass signal. The computer further includes a modifier for modifying the at least one energy-related value for the band-pass signal on the basis of the determined mean value for the band-pass signal. The computer further includes a control information computer for computing the control information for the suppression filter on the basis of the at least one modified energy-related value.

A method and system for blind estimation of time and frequency parameters of an incoming signal. A spectrogram of the signal is processed using singular value decomposition (SVD) and ICA (independent component analysis) techniques. Time and frequency parameters are estimated from time and frequency eigenvectors, respectively.

A method of prestack reverse-time migration of seismic data that yields significant gains in computer storage and memory bandwidth efficiency is disclosed. The values only of the source wave incident on the boundaries of a simulation domain are saved, rather than all of the values of the wavefield throughout the entire simulation domain. This data allows an accurate and robust approximation of the forward propagated source wave for all finite-difference approximation orders of the acoustic wave equation. The method reduces the amount of data storage required by an order of magnitude and overcomes the present challenge of requiring special large memory hardware while allowing for the implementation of 3D prestack reverse-time migration on off-the-shelf platforms.

The invention discloses a two-dimensional laser radar point cloud data processing method. Environmental data is collected through laser radar scanning, point cloud data pre-processing is performed, apolar coordinate system with laser radar being a coordinate point is converted into a rectangular coordinate system that is used for posture calibration of a robot, environmental information is effectively detected and recognized through region segmentation, feature extraction, point cloud segmentation, two-dimensional laser radar and a camera fusion detection algorithm, and three-dimensional coordinate fusion is conducted through a vent needle model of the camera and the laser radar, so that the robot calibrates the posture according to a deviation. The invention also discloses a dynamic robot posture calibration method, wherein a camera is adopted as an auxiliary detection sensor and obtains the real-time posture state of the robot together with laser radar, the adjustment amount of a calibration system is obtained by comparing the real-time posture state with a desired posture state, calibration is continuously carried out until the deviation between the robot posture detected by the laser radar and the desired posture is less than a certain threshold value, and thus a whole closed-loop posture calibration process is completed.

Systems and processes for rule-based natural language processing are provided. In accordance with one example, a method includes, at an electronic device with one or more processors, receiving a natural-language input; determining, based on the natural-language input, an input expression pattern; determining whether the input expression pattern matches a respective expression pattern of each of a plurality of intent definitions; and in accordance with a determination that the input expression pattern matches an expression pattern of an intent definition of the plurality of intent definitions: selecting an intent definition of the plurality of intent definitions having an expression pattern matching the input expression pattern; performing a task associated with the selected intent definition; and outputting an output indicating whether the task was performed.

Provided is a method of removing noise from digital moving picture data reducing the number of frames used in a temporal filtering operation and able to detect motion between frames easily. The method comprises a method of spatial filtering, a method of temporal filtering, and a method of performing the spatial filtering and the temporal filtering sequentially. The spatial filtering method applies a spatial filtering in a YCbCr color space, preserving a contour / edge in the image in the spatial domain, and generating a weight that is adaptive to the noise for discriminating the contour / edge in the temporal filtering operation. The temporal filtering method applies temporal filtering based on motion detection and scene change detection, compensating for global motion, the motion detection considering the brightness difference and color difference of the pixels compared between frames in the temporal filtering operation, and a weight that is adaptive to the noise for detecting the motion in the temporal filtering operation. The spatial filtering method is preferably performed first, and the temporal filtering method is performed with the result of the spatial filtering.

Methods for recognizing a virtual tooth surface, defining a virtual tooth coordinate system, and simulating a collision between virtual teeth are provided. Methods include receiving input data specifying a point on the rendered surface model associated with a tooth, deriving a perimeter on the surface model of the tooth, and analyzing the surface model along a plurality of paths outwardly extending from points on the perimeter. Methods also include receiving point input data, receiving axis input data that defines first and second axes associated with the virtual tooth, computing a substantially normal vector for a portion of the tooth surface surrounding the point, and computing a coordinate system. Methods also include receiving permissible movement input data directed to permissible movement of a first virtual tooth, bringing the first virtual tooth into contact with a second virtual tooth, and displaying data resulting from the simulation.

Provided are a three-dimensional (3D) image acquisition apparatus, and a method of generating a depth image in the 3D image acquisition apparatus. The method may include sequentially projecting a light transmission signal, which is generated from a light source, to a subject, modulating reflected light, which is reflected by the subject, using a light modulation signal, calculating a phase delay using a combination of a first plurality of images of two groups, from among a second plurality of images of all groups obtained by capturing the modulated reflected light, and generating a depth image based on the phase delay.

Disclosed is a system, method, and program for selecting an input / output (I / O) command in a queue of I / O commands. Each I / O command operates within a range of addressable locations on a storage medium. Each addressable location is defined according to a sector number and track number. The program makes use of a plurality of buckets, wherein each bucket represents a range of consecutive sector numbers. Each queued I / O command is associated with a bucket such that a sector number of an addressable location in which an I / O command operates is within the range of sectors comprising the associated bucket. A reference position is determined. A selection routine is then executed to select an I / O command. The selection routine selects a bucket including at least one I / O command and selects an I / O command within the selected bucket. The routine then determines whether the selected I / O command meets a selection criteria. The routine indicates the selected I / O command as the I / O command to process. Another iteration of the selection routine is performed after determining that the selected I / O command does not meet the selection criteria.

The invention relates to a prediction device and a prediction method for the state of an emergency topic. The prediction device and the prediction method are provided based on the research of a microblog topic production mechanism and the influence of opinion leaders of emergency on the state of the emergency topic. The prediction device is provided with four components of a text acquisition unit, a topic clustering unit, a topic state recognition unit and a topic state prediction unit, and the topic state is predicted through the participation state of the opinion leaders, so that the prediction method of the topic state is simplified, the prediction accuracy is higher, and a basis can be provided for monitoring the tendency of the emergency topic. Through the calculation method of topic attention provided by the invention, the computation complexity of a traditional topic attention method is reduced. Moreover, the numerical value prediction of the topic attention is replaced by adopting the prediction of the state of the topic, so that the prediction content is more reasonable, and the prediction accuracy is higher. Furthermore, a prediction method of a hidden Markov model is provided, the set of the opinion leaders and the model of topic prediction are constructed through incremental iteration, so that the prediction operation can be obviously simplified, and the prediction efficiency is improved.

An extension to current multiple memory bank video processing architecture is presented. A more powerful memory controller is incorporated, allowing computation of multiple memory addresses at both the input and the output data paths making possible new combinations of reads and writes at the input and output ports. Matrix transposition computations required by the algorithms used in image and video processing are implemented in MAC modules and memory banks. The technique described here can be applied to other parallel processors including future VLIW DSP processors.

The present invention relates to an image processing apparatus and method configured to be able to suppress increases in computation due to interpolation processing.For pixels of fractional pixel precision corresponding to sampling positions at a position b and a position d, pixel values corresponding to sampling positions at the position b and the position d are obtained by performing a sum-of-products operation using a first filter. For fractional pixel precision corresponding to sampling positions at a position c, pixel values corresponding to sampling positions at the position c are obtained by performing a sum-of-products operation using a second filter and an intermediate value B or an intermediate value D generated using a second filter with fewer taps than the first filter. The present invention may be applied to image coding apparatus that code in the H.264 / AVC format, for example.

Frames of image data representative of a scene containing deformable geometry subject to global illumination are computed in real-time. Frame animation data is computed for a series of frames representative, in animated sequence, of a scene containing deformable geometry. The frame animation data includes vertex attributes of a control mesh descriptive of the three dimensional surface of graphical elements occurring within the scene. Based on the frame animation data, respective illumination values are computed for the individual polygons of the control mesh to determine the global illumination of the scene. The computation is performed iteratively with respect to each frame set of frame animation data until a qualified convergence of global illumination is achieved. Within each iteration, the respective illumination values are determined based on the frame-to-frame coherent polygon illumination values determined in a prior iteration. Qualified convergence is achieved within the frame-to-frame interval defined by a real-time frame rate.

An apparatus and method for mapping CELP parameters between a source codec and a destination codec. The apparatus includes an LSP mapping module, an adaptive codebook mapping module coupled to the LSP mapping module, and a fixed codebook mapping module coupled to the LSP mapping module and the adaptive codebook mapping module. The LSP mapping module includes an LP overflow module and an LSP parameter modification module. The adaptive codebook mapping module includes a first pitch gain codebook. The fixed codebook mapping module includes a first target processing module, a pulse search module, a fixed codebook gain estimation module, a pulse position searching module.

N sets of feature vectors are generated from a set of observation vectors which are indicative of a pattern which it is desired to recognize. At least one of the sets of feature vectors is different than at least one other of the sets of feature vectors, and is preselected for purposes of containing at least some complimentary information with regard to the at least one other set of feature vectors. The N sets of feature vectors are combined in a manner to obtain an optimized set of feature vectors which best represents the pattern. The combination is performed via one of a weighted likelihood combination scheme and a rank-based state-selection scheme; preferably, it is done in accordance with an equation set forth herein. In one aspect, a weighted likelihood combination can be employed, while in another aspect, rank-based state selection can be employed. An apparatus suitable for performing the method is described, and implementation in a computer program product is also contemplated. The invention is applicable to any type of pattern recognition problem where robustness is important, such as, for example, recognition of speech, handwriting or optical characters under challenging conditions.

A system and method for detecting a road curve as a vehicle approaches the curve, automatically providing road curvature information and controlling vehicle speed. The system uses a locating device and a map database to know the vehicle's position. Depending on the speed of the vehicle, the system generates a curvature profile for different curvature data points at or around the curve in front of the vehicle. The system then generates a desired speed profile for the curvature points. The desired speed profile and the actual vehicle speed are compared to determine whether the vehicle is traveling too fast for the target speed at each profile point. The acceleration computation can be enhanced by providing a driver cornering mode input that the vehicle operator can select based on how aggressively the driver wants the system to act to slow down the vehicle.

The present disclosure relates to methods and systems for obtaining image information of an organism including a set of optical data; calculating a growth index based on the set of optical data; and calculating an anticipated harvest time based on the growth index, where the image information includes at least one of: (a) visible image data obtained from an image sensor and non-visible image data obtained from the image sensor, and (b) a set of image data from at least two image capture devices, where the at least two image capture devices capture the set of image data from at least two positions.

The invention discloses an airborne radar clutter self-adaption restraining method based on main-lobe clutter registering. The STAP clutter restraining method based on efficient and self-adaption main-lobe clutter registering is researched according to the airborne non-side-looking array radar clutter distance space-variant characteristic. In order to reduce the operand, firstly, the main-lobe clutter Doppler frequency is accurately estimated according to a cascading method, then the space angular frequency of the main-lobe clutter is estimated through a sparse reconstruction technology, two-dimensional registering is carried out on main-lobe clutters of different distance units, and finally the clutter restraining is carried out through a dimensionality reduction STAP algorithm. A simulation experiment result shows that after the main-lobe clutter registering, the dimensionality reduction STAP improvement factor is improved by about 18 dB on the main-lobe clutter area, and the detection performance on slow moving targets is improved significantly. The method is small in operand and easy to implement.

The invention provides a method for facula center positioning of a CCD image measurement system. According to the method, a facula image generated by a CCD sensor is simulated by means of software, denoising is carried out on a laser facula generated by simulation by means of median filtering, binarization is then carried out on the denoised image, edge extraction is carried out on the image treated with binarization by means of the Gauss-Laplace operator, then primary positioning is carried out by means of the gray level gravity method, and finally accurate positioning is carried out on the primarily positioned image by means of the Gaussian curvefitting algorithm. According to the method, due to the introduction of the image pre-processing step, noise in the image can be effectively filtered, and interference resistance is improved; due to the fact that only useful data points in the image are calculated and analyzed, the calculated amount is small, and then realization of the software is easy and resources of the system are saved greatly.

The invention relates to a depth bidirectional feature pyramid enhancement network for small-scale target detection, comprising: determining a backbone network of a network encoding end; determining adepth bidirectional feature pyramid enhancement network of a small-scale target detection end. Design Bottom-Up characteristic pyramid; Design Top-Down pyramid; Target Detection Subnetwork: Using strategies in detection of the two stages in faster-rcnn, wherein the two stages include candidate frame extraction and target classification respectively. In the RPN stage, regression of a target frameand prediction of whether the probability the target's are performed by use of the convolution of the convolution kernel of 3*3 on an output characteristic graph of each scale of the top-down characteristic pyramid. the screened candidate target frame and the output characteristic graph of the top-down characteristic pyramid of the corresponding scale are subjected to ROI-pooling, and finally twofull connection layers are used to adjust the frame and classify the specific categories of the target; Object Detection Results are output.

The embodiment of the invention provides an application program operation method and device. The method comprises the following steps: when speech data are received by an auxiliary program, identifying text information corresponding to the speech data; looking up an application program name and a function name matched with the text information; starting an application program corresponding to the application program name; triggering a control corresponding to the function name in the application program. According to the embodiment of the invention, the speech operation of the application program is realized, a manual operation is omitted, operation simplicity is greatly improved, an operation threshold of the application program is lowered, and the application program operation method is especially suitable for crowds with vision disorder, input disorder and the like.

An image registrations includes determining a first binary descriptor of a first key point in a first image, determining a second binary descriptor of a second key point in a second image, determining a weighted Hamming distance between the first binary descriptor and the second binary descriptor, and registering the first key point with the second key point when the weighted Hamming distance is below a noise threshold. At least one element in the first or the second binary descriptor is a result of a comparison of a difference between intensities of at least two pixels of the first or the second image with a threshold. At least two weights of the weighted Hamming distance for comparing at least two elements of the first or the second binary descriptors are different.

The invention discloses a method for protecting international mobile subscriber identity (IMSI) in mobile communication, which comprises the following steps that: on the basis of the original identity identifier and authentication protocol of the mobile communication, users encrypt IMSI by using a home location register (HLR) public key and send the IMSI to a visitor location register (VLR); the VLR sends the encrypted IMSI to the HLR, the HLR decrypts the IMSI to generate an authentication vector; the HLR sends the encrypted IMSI and the corresponding authentication vector to the VLR; and the VLR performs the authentication on the users according to the encrypted IMSI and the corresponding authentication vector. In addition, the IMSI is also protected by combining the use of a public keycertificate. Therefore, attackers cannot determine the identities of the users through passive interception or active inveiglement and cannot capture privacy such as tracks of the users and the like,and simultaneously, the determination of the VLR on HLR in which the users are positioned is not influenced, so the also known as (AKA) protocol can be performed smoothly.

Decoding signals represented by a trellis of block length N divided into windows of length L includes a step of decoding a forward recursion from a point P1 that is before the beginning of a window up to the beginning of the window and decoding a backward recursion from a point P2 that is after the end of a window back to the end of the window to define known states at the beginning and end of the window. A next step includes decoding the window using backward recursion from the known state at the end of the window back to the beginning of the window to define a set of backward recursion state metrics. A next step includes decoding using forward recursion starting from a known state at the beginning of the window and moving forward to the end of the window to define a set of forward recursion state metrics. A next step includes calculating a soft output at each stage of the window using the forward and backward recursion state metrics, and branch metrics at each stage, and outputting the soft output for that stage.