542results about How to "Exact fit" patented technology

An implant is generated which is functionally and aesthetically adapted to the patient with a greater degree of precision, irrespective of the size, form and complexity of the defect, whereby the implant can be produced and operatively inserted into the patient over a short time period and in a simple manner. A virtual three-dimensional model of the patient which is formed from existing recorded (two-dimensional) image data of the patient is compared with real medical reference data. The comparison which is, for example, carried out using a data bank with test person data enables a reference model object which is most suited to the patient or closest to the patient model to be selected or formed and a virtual implant model is generated accordingly. Computer numeric control data is directly generated from the implant model which is generated virtually in the computer for program-assisted production of the implant.

A method for encoding a video frame or picture comprises dividing up the video frame or the picture in portions of a first type associated with a first scanning pattern, and portions of a second type associated with a second scanning pattern. Data corresponding to a predetermined of the portions of the video frame or picture is transformed into a two-dimensional transform coefficient array. Fhe transform coefficients are precoded in order to obtain transform data units. One of a first and a second set of context models is chosen depending on as to whether the predetermined portion is a portion of a type being associated with the first or the second scanning pattern. One context model of the chosen one of the first and the second set of context models is assigned to the transform data unit based on the scanning position assigned to the predetermined transform coefficient. Finally, the transform data unit or a sub-unit thereof is arithmetically encoded into a coded bit stream based on the probability estimation with which the assigned context model is associated.

The invention provides a combined wind power prediction method suitable for a distributed wind power plant. The method comprises the following steps: step 1, acquiring data and pre-processing; step 2, utilizing a training sample set and a prediction sample set which are normalized to build a wind speed prediction model based on a radial basis function neural network and predict the wind speed and variation trend of distribution fans at the next moment; step 3, building a distributed wind power plant area CFD (computational fluid dynamics) model and externally deducing the prediction wind speed of each fan in the plant area according to factors such as the terrain, coarseness and wake current influence of a distributed wind field; step 4, acquiring the power data of an SCADA (supervisory control and data acquisition) system fan of the distributed wind field; and step 5, adopting correlation coefficients. The invention firstly provides a double-layer combined neural network to respectively predict the wind speed and power. Models are respectively built through adopting appropriate efficient neural network types, and improved particle swarm optimization with ideas of 'improvement', 'variation' and 'elimination' is additionally added to optimize the neural network, so that the speed and precision of modeling can be effectively improved, and the decoupling between wind speed and power is realized.

A signal processing method and apparatus capable of correcting signal distortion introduced by an RF power amplifier is disclosed, which includes the use of a buffer to store a plurality of samples representing at least a portion of an input signal intended for amplification by the RF power amplifier, the use of a self-receiver to receive an output signal generated by the RF power amplifier, the use of a synchronization unit to determine, as a matching input sample, which of the stored plurality of samples corresponds most closely to the output signal, and the use of a predistortion unit to selectively apply a distortion correction function to the input signal prior to amplification by the RF power amplifier in which the distortion correction function being derived from a relationship between the matching input sample and the output signal. This permits more precise and updateable determination of the delays involved in the RF modulation and amplification stages of the amplifier and the self-receiver, thus allowing for more precise and aggressive adaptive predistortion to be used. A phase offset correction is optionally provided to correct a phase offset in the realized sample of the output signal relative to the matching input symbol. Additionally, a sampling phase error correction unit may be provided to generate sampling alteration information to an analog-to-digital converter to cause such analog-to-digital converter to selectively alter sampling of the output signal.

An apparatus and method for noise reduction employ a first processor having one or more channels, each channel comprising a respective first processor filter, and each channel configured to receive a respective one of one or more input signals. The first processor is configured to provide an intermediate output signal. The apparatus and method further employ a second processor including a second processor filter configured to receive the intermediate output signal and to provide a noise-reduced output signal. The apparatus and method further employ a first adaptation processor coupled to the first processor and a second adaptation processor coupled to the second processor. In some embodiments, an echo canceling processor reduces an echo portion associated with the noise-reduced output signal. In some embodiments, a response of the first filter portion and of the second filter portion are dynamically adapted.

The invention belongs to the field of satellite navigation and particularly relates to a terminal positioning track fitting method based on a Bezier curve. The terminal positioning track fitting method comprises: step 1, a curvilinear function of a third-order Bezier curve is as follows: two adjacent sampling points Pn and P(n+1) serve as the starting point and the final point of the third-order Bezier curve, namely P0=Pn, and P3=P(n+1); step 2, P1 is enabled to be equal to a control point Pn' of the Bezier curve of the sampling point Pn; step 3, P2 is enabled to be equal to a control point P(n+1)' of the Bezier curve of the sampling point P(n+1); and step 4, the control point Pn' of the Bezier curve of the sampling point Pn, the sampling point P(n+1) and the sampling point Pn and the control point P(n+1)' of the Bezier curve of the sampling point P(n+1) are substituted into the third-order Bezier curve to obtain: B(t)=Pn(1-t)3+3Pn' t(1-t)2+3P(n+1)'t2(1-5)+Pn+1t3, t belongs to (0,1), and the fitted curve function of the actual track of the positioning terminal can be obtained, and the function is an interpolation function of the function; and step 5, the step1, step2, step3 and step 4 are repeated to calculate the fitted curve function of the next pair of adjacent sampling points until the final sampling point.

The selection of the spatial mode together with modulation and encoding schemes based on channel condition measurements requested from MS forms a basis for selecting a best transmission data rate in a wireless link in every channel conditions. A method and network element comprising multiple-input multiple-output (MIMO) capable antenna technology allows the use of a best transmission data rate in the channel if selection of transmission mode has been made correctly. The thresholds for transmission mode selections are pre-determined and compared to instantaneous channel quality information. The practical MIMO solution based on correct selection procedure provides also continuous sufficient channel condition for terminal users when the user moves from LOS situation to NLOS situation.

A method for location-dependent billing for a service available to a user with a mobile terminal having an identification module. Via a wireless interface of the identification module, a local communication connection is set up to at least one external location tag with a corresponding wireless interface. The method includes determining a location identification through evaluation of data of the at least one external location tag; and selecting a billing rate for billing for the service available to the user based on the determined location of the at least on external location tag.

A cartridge for powdered pharmaceuticals. At least two storage spaces are provided which are separate from each other and which are each intended to hold a multiplicity of doses of a medically active substance. The storage spaces are individual cartridges which may be lockingly coupled together to form a single cartridge. Each individual cartridge has a metering cavity.

The invention discloses an address information feature extraction method based on a deep neural network model. According to the method, tasks such as text feature extraction, address standardization construction and semantic space fusion are converted into quantifiable deep neural network model construction and training optimization problems by utilizing a deep neural network architecture. Characters in an address are used as basic input units, a language model is designed to express the characters in a vectorization mode, and then the key technology of place name and address standardized construction is achieved through a neural network target task. Meanwhile, considering place name address space expression characteristics, proposing an address semantic-space characteristic fusion scheme,designing a weighted clustering method and a characteristic fusion model, and extracting a fusion vector fused with semantic characteristics and space characteristics from an address text of a natural language. The feature content extraction of the address information can be realized. The structure has high expansibility. The solution thinking of address information tasks can be unified. The method is of great significance to urban construction.

A sensor for optical detection of foreign bodies, in particular raindrops, on a window, in particular on the windshield of a motor vehicle, having a sensor element that is coupled to the inside of the window and having a fastening device, which is glued to the window, wherein the housing part has a fastening part pivotably attached to it, which can be brought into engagement with the fastening device by the clamping tension.

The invention discloses a method for detecting changes of SAR (synthetic aperture radar) images on the basis of multi-scale product and principal component analysis ( PCA ), mainly solving the problems that the adaptability is poor, the application range is narrow and the change detection results are subject to image misregistration. The method comprises the following specific implementation procedures: firstly, conducting the logarithmic ratio operation on two inputted time phase SAR images to obtain a difference image; carrying out the wavelet transform on the difference image; carrying out the multi-scale product de-noising on the high-frequency information of each decomposition layer; then, combining the de-noised images of each layer and carrying out the PCA transform, wherein, a first PCA image is used as a new difference image; and finally classifying the new difference image by using the minimum error ratio threshold value of the generalized Gaussian model to obtain the final result image of changes. The experiment shows that the invention can enhance the change information, have strong antinoise performance and reduce the influence of image misregistration, thus having high applicability and can be applied to the disaster detection of SAR images.

A method in a communication system, a communication system and a communication device wherein in the method media streams are transmitted from a sending communication device to a receiving communication device at least partly via a wireless communication network. At least one media stream is selected to be transmitted to the receiving communication device. QoS requirements for transmitting the selected at least one media stream are defined, transmission resources are reserved from the wireless communication network for the transmission of at least one media stream, and a setup procedure is performed between the receiving communication device and the sending communication device for activating the one packet data transmission connection.

The invention relates to a gas parameter online measurement method based on wavelength modulation spectroscopy and belongs to the field of tunable diode laser absorption spectroscopy. According to the method, a gas absorptivity function is fitted by using an odd number of harmonic signals of an X axis and a Y axis output by a phase-locked amplifier based on the wavelength modulation spectroscopy, normalization processing is carried out on the harmonic signals of the X axis and the Y axis by using first harmonic background signals so as to eliminate the influence of factors, such as background signal, laser intensity and modulation factor, and then, the temperature, concentration, pressure and spectroscopic constant of gas are directly measured by using the gas absorptivity function. The gas parameter online measurement method based on the wavelength modulation spectroscopy has the advantages that the problem that the wavelength modulation spectroscopy needs to calibrate experimental measuring temperature and concentration and cannot measure the pressure and spectroscopic constant of gas nowadays is solved, and the application range of the wavelength modulation spectroscopy is widened.

A fiber optic end face inspection probe that includes a power control, an image control; a probe adaptor and probe end extending from a housing; an electronics module that includes a microprocessor, a memory and an optional wireless transmitter; and an autofocus camera system that includes a lens, a motor adapted to move the lens in order to focus the image through the lens, and an image sensor that is adapted to accept the image passing through the lens and transmit this image to the electronics module.

In a method for virtual adaptation of an object to be medically inserted in a patient, to a body part of the patient, the object is shown in a desired view on a monitor, the body part is shown on the monitor, the body part in its unchanged imaging context, is automatically displaced relative to the object until the object is adapted to the body part with the orientation of the object relative to the monitor remaining unchanged.

The invention relates to a method for streaming of media, in which method streaming media is transmitted from a server (111) through a network (102-104) to a client device (101, 101′) for reproduction, and wherein transmission of streaming media is implemented by using a layered protocol stack having an application layer, a transport layer and other protocol layers. The transport layer comprises an error checking mechanism, with which the transport layer detects transmission errors in the transmission of streaming media. In the method the application layer controls the error checking mechanism of the transport layer and the application layer determines the situation in the network (102-104) as regards transmission errors by means of controlling the error checking mechanism of the transport layer. In the method the application layer carries out a streaming adaptation step in order to adapt transmission of streaming media to the determined situation in the network (102-104).

The invention discloses a self-adaptive automobile instrument detection method based on character segmentation cascaded quadratic classifier, relating to the automobile instrument pointer visual detection technology field. In order to solve problems of a current instrument detection system in the automobile instrument detection field, the self-adaptive automobile instrument detection method basedon character segmentation cascading performs threshold segmentation on an original image and performs analysis processing on morphology and a connected domain, adopts a method based on couture analysis method to finely extract pointers, establishes a pointer information list, constructs a character segmentation cascading quadratic classifier consisting of an HOG / SVM quadratic classifier, a character filter and a CNN digital classifier which are connected in a cascaded mode, adopts the cascaded quadratic classifier to identify a number character area of the instrument, performs local analysis to extract scale points with the number character area as a center, determines a position of an angle corresponding to the scale point, establishes a Newton interpolation linear description relation between the instrument pointer angle and a response value and determines whether the instrument is qualified. The self-adaptive automobile instrument detection method based on the character segmentationcascaded quadratic classifier is applied to the automobile instrument pointer vision detection field.

A method of controlling a loudspeaker of an electronic device provides voice coil temperature protection. When a power supply for the electronic device is first activated, a binding step is performed in which the loudspeaker impedance is determined and a temperature (such as ambient temperature) is accurately measured. These binding step measurements are used during subsequent use of the loudspeaker, to make the temperature measurements (based on voice coil impedance) as accurate as possible.

The invention relates to a method and a system for automatically extracting the position and profile of a mark point in an image. The method comprises the steps of obtaining an original image; performing median filtering processing on the original image; performing ellipse fitting processing on the mark point subjected to the filtering processing to obtain a preliminary extraction result; converting image point coordinates of points of an ellipse boundary of the preliminary extraction result into polar coordinates; and uniformly selecting the plurality of the points on the ellipse boundary to perform accurate extraction processing, and finally obtaining accurate data of the mark point. According to the method and the system, a mark point area in the image can be extracted automatically and more accurately based on preliminary extraction processing through accurate extraction processing, and a parameter equation of the mark point area is fitted out; and the extracted profile of the mark point can reach the sub-pixel level, so that the accuracy and stability of an existing method are greatly improved.

A pre-distorter and a power amplifier are combined in a communication system. The purpose of the power amplifier is to provide as high a power as possible to the orthogonal frequency division multiplexing (OFDM) signal being passed by the high power amplifier to the communication system. The pre-distorter inverts the nonlinearity of the amplifier, so that the combination of pre-distorter and high power amplifier exhibit a linear characteristic beyond the normal linear range of the high power amplifier. The pre-distorter is based on exact analytic expression for the description of the input-output characteristic of the pre-distorter based on an analytic model for the power amplifier. A mixed computational-analytical approach compensates for nonlinear distortion in the high power amplifier even with time-varying characteristics. This leads to a sparse and yet accurate representation of the pre-distorter, with the capability of tracking efficiently any rapidly time-varying behavior of the power amplifier.

It is described a method for controlling an adaptation of a behavior of an audio device (100) to a current acoustic environmental condition. The method comprises (a) monitoring an audio output signal (x(t), x′(t)) being provided to an acoustic output device (110) of the audio device (100) for outputting an acoustic output signal, (b) measuring an audio input signal (z(t)) being provided by an acoustic input device (120) of the audio device (100), wherein the audio input signal (z(t)) is indicative for a feedback portion of the acoustic output signal and for the current acoustic environmental condition, (c) determining a relation between the audio output signal (x′(t)) and the audio input signal (z(t)) and (d) adapting the behavior of the audio device (100) based on the determined relation. Further, it is described a data processor, a computer-readable medium and an audio device, which are adapted to control and / or to carry out the above mentioned method for controlling an adaptation of the behavior of an audio device (100) to a current acoustic environmental condition.

A distortion correction circuit comprises memory that stores N samples of an input signal that occur at N different times, where N is an integer greater than two. A self-receiver samples an output signal that is generated by an RF power amplifier and that is based on said input signal. A synchronization unit selects one of said N samples by comparing said sampled output signal to said N samples. A predistortion unit generates a distortion correction function based on said selected one of said N samples and said output signal.

A method for functionally testing an ultrasonic sensor in which at least one additional ultrasonic sensor transmits an ultrasound signal, and a functioning of the first sensor is ascertained when the amplitude of the signal transmitted by the first sensor without being reflected off of an external obstacle exceeds a predefined, variable limit value.

A device (1) for machining an ophthalmic lens includes a support for the ophthalmic lens and for driving it in rotation about a blocking axis (A1), a machining module (35) that can be swiveled relative to the support and driving the lens in rotation and that is suitable for pivoting about a swivel axis that is not parallel to the blocking axis of the lens, and at least one drill tool mounted to rotate on the machining module about a first axis of rotation. The machining device includes at least one other machining tool mounted to rotate on the machining module about another axis of rotation that is distinct from the first axis of rotation and that is stationary relative to the first axis of rotation.

The invention discloses a digital section real-time scanning and automatic focusing tracking method. According to the method, a scanning imaging device and a focusing imaging device are adjusted to have the same view fields; in the digital section scanning process, the focusing imaging device is used for tracking and obtaining the position of a focal plane of the view field rapidly in the movement process of an objective table, a dynamic local section surface mathematical model is built through a computer processing system, the focal plane of a nearby view field is predicted, through continuous dynamic analysis and focusing positioning, it is guaranteed that the scanning imaging device can also obtain a clear focal plane image of each view field in time in the movement process of the objective table, the focal plane position of the nearby view field can be tracked timely and predicted accurately according to the method, focusing action does not need to be performed repeatedly in the nearby view field, and only a single view field image of each view field where the objective table passes by needs to be captured in the continuous movement process of the objective table. The method is high in focusing accuracy, high in speed and capable of achieving rapid scanning and guaranteeing high-resolution digital section images.