114results about How to "Avoid selection" patented technology

Distributing a scrambled video content together with a video player that descrambles the content and limits playing to conditions defined by content distributor. The conditions may include an expiration date and a limit imposed on both fast forward and fast reverse operations in such a way to prevent users from selectively skipping commercials while not missing parts of entertainment program itself. The player of digital video content may perform additional functions improving efficiency of advertising such as playing different commercials with the same video content depending on user's information stored in the recipient system and supplementing commercials with purchase and other information that can be unloaded on demand when a commercial is played.

In an input apparatus, a display portion displays a plurality of function items on a screen to form a plurality of rows that are parallel in a predetermined row direction. The function items are provided with selection regions, respectively. One of the selection regions is selected, using a pointer according to a predetermined selection manipulation, and is determined according to a predetermined determination manipulation. When a first function item in a first row of the plurality of rows is selected, a selection region of the first row is enlarged in a direction directing at a row next to the first row.

The invention discloses a voltage sag detection method for S-transformation on the basis of time-frequency gathering characteristic criteria. The method includes the first step of obtaining voltage sag disturbance signals to be detected generated in a power distribution network, the second step of conducting analog-digital conversion on an obtained voltage sag disturbance signal model, the third step of conducting optimized selection on gaussian time-frequency window width adjustment parameters in an improved S-transformation method according to time-frequency gathering characteristic criteria, substituting the gaussian time-frequency window width adjustment parameters selected according to empirical values, and conducting characteristic extraction, detection and analysis on digital signals to be detected in the second step through the improved S-transformation. Selection of condition parameters of a gaussian window function is optimized through the constraint condition that the value of a time-frequency gathering characteristic expression is maximized when the signals are analyzed through the improved S-transformation, and the improved S-transformation is applied to characteristic extraction, detection and analysis on voltage sags. The voltage sag detection method for S-transformation on the basis of time-frequency gathering characteristic criteria has the higher detection accuracy degree and signal denoising capacity on transient-state electric energy quality signals.

Providing a graphical drawing includes maintaining recently drawn strokes in a wet state after the strokes are drawn, causing strokes in a wet state to transition to a dry state based on passage of time, proximity of other recently drawn strokes, and/or explicit user input directing that at least some wet strokes be transitioned to the dry state, and grouping strokes in the dry state for future user manipulation based at least in part on how the strokes transitioned from the wet state to the dry state. Wet ink strokes may transition from the wet state to the dry state in response to not adding any new wet ink strokes for a predetermined amount of time. The predetermined amount of time may be twelve hundred milliseconds.

An electro-optical device includes, a first substrate, a second substrate, an electrooptic material layer, an illuminating device, and a polarizing device. The electrooptic material layer is held between the first substrate and the second substrate. The illuminating device irradiates illumination light to an outer surface of the first substrate. The polarizing device is provided on the outer surface of the first substrate. The electrooptic material layer exhibits optical isotropy when no electric field is applied, and, when an electric field is applied, exhibits optical anisotropy corresponding to the magnitude of the electric field. The electrooptic material layer further has a characteristic to selectively reflect a first circularly polarized light having a first rotation direction. Light that passes through the polarizing device is a second circularly polarized light that has a second rotation direction reverse to the first rotation direction of the first circularly polarized light.

The invention discloses a method for splitting images based on clustering of immunity sparse spectrums, mainly solving the problem that a spectrum clustering method has poor stability and high complexity. The method comprises the following steps: (1) extracting features of images to be split; (2) normalizing feature data to eliminate the magnitude effect among data; (3) carrying out real coding onthe normalized feature data; (4) randomly generating initial species groups of the coded data and calculating the affinity; (5) cloning based on the affinity size of an antibody; (6) carrying out Gaussian mutation on the cloned antibody species groups and selecting the antibody of the highest affinity as an input for the next round; (7) iterating the set maximum iterations to obtain a final selected sample subset; (8) carrying out greed spectrum dimensionality reduction on the selected sample subset, clustering the dimensionally reduced data and outputting the final image splitting result. Compared with the prior art, the method has the advantages of no need of priori knowledge, high accuracy and low calculation complexity. The method can be used for object detection and object identification.

The invention provides a method for precisely solving the length of an unstressed cable of a cable-stayed bridge. The length of the unstressed cable is solved by substituting the average value of the nodal force at the end of the stayed cable with a precise calculation method for the force at the end of the stayed cable, and by building a precise expression s0 of the length of the unstressed stayed cable and a characteristic parameter beta constraint equation of the stayed cable when a tensile force at the end of a tower is known without selecting the primary value of the length of the unstressed cable. The method comprises the following steps of: building the precise expression of the length of the unstressed stayed cable and the characteristic parameter beta constraint equation of the stayed cable when the tensile force Tj at the end of the tower is known, and solving the length of the unstressed stayed cable. The method has the advantages of solving the problem on the selection of the primary value of the length of the unstressed cable, with high convergence rate and small calculation error. Compared with the linear search, the dichotomy and the improved chord secant method for iteratively solving the length of the unstressed cable, the method of the invention greatly improves the solution precision and solution efficiency of the length of the unstressed stayed cable, so the method is of relatively high application value in practical projects.

The invention discloses a gray level image colorizing method, and belongs to the technical field of digital image processing. Directing at the problem that in an existing image colorizing method based on YUV joint correlation, colors of an edge region are mixed and distorted, the existing image colorizing method is improved. The gray level image colorizing method comprises the steps that firstly, the similarity degree of spatial position information and brightness information is considered comprehensively and used, and a plurality of extremely similar pixels are searched out from a larger window region with a pixel to be colorized as the center; secondarily, the post-normalization local brightness weighting coefficients of the extremely similar pixels are calculated; then a chromaticity-coefficient constraint matrix equation formed by chromaticity of all the pixels and the local brightness coefficients of all the pixels is solved to obtain the chromaticity of the pixel to be colorized; at last, an image is converted from a YUV space to a RGB space to obtained a colorized image. The invention further discloses a gray level image colorizing device using the method. The gray level image colorizing method and device can reduce color mixing and distortion of the edge region of the image, and improve the subjective and objective quality of the colorized image.

A method for providing image reproduction of digital pictures in an imaging apparatus having a print engine, a scanner and an input device, includes printing a proof index sheet containing a plurality of thumbnail images corresponding to a plurality of digital pictures and having a unique identifying indicia; printing an order form separate from the proof index sheet, the order form including the unique identifying indicia and at least one selectable processing instruction associated with a corresponding digital picture; feeding the completed order form through the imaging apparatus to scan the order form completed with processing instructions; and generating a printed image for at least one of the plurality of digital pictures in accordance with the processing instructions entered on the order form.

The invention discloses a deconvolution based radar angle super-resolution imaging method. The deconvolution based radar angle super-resolution imaging method comprises converting the radar angle super-resolution imaging into a convolution inversion problem on a complex domain and adding constraints to change the intrinsic ill-condition of the convolution inversion problem; converting the convolution inversion problem into an implementation problem of an optimal solution of a constraint objective function on a corresponding complex domain; utilizing vectors on a real number domain to represent complex variables and converting the problem of the optimal solution of the constraint objective function on the complex domain into an implementation problem of an optimal solution of an unconstrained objective function on the real number domain; implementing the optimal solution of the unconstrained objective function on the real number domain by a Lagrange method of multipliers and implementing the radar angle scanning super-resolution imaging. According to the deconvolution based radar angle super-resolution imaging method, the limitation of antenna system parameters on the radar image resolution can be broken through, the radar angle super-resolution imaging is implemented, and the effects of the imaging result on the target range, number and position information maintaining are good.

The invention relates to a pointer instrument detection and reading identification method based on a mobile robot. The method comprises the following steps: obtaining a deep neural network detection model M for a pointer instrument; the mobile robot moves to a designated place to obtain an original environment image containing the instrument equipment at present in a mode that the mobile robot carries a camera; S serves as system input and is transmitted to a deep neural network model M, whether an instrument exists in S or not is detected, the position of the instrument is framed out, an image in a frame is intercepted and subjected to height setting processing, the length-width ratio is not changed, and the processing result is represented by J; contrast enhancement is performed on the image, and a processing result is represented by E; local adaptive threshold segmentation is performed on the E to obtain a reverse binary image B; pointer extraction processing is performed based on aprobability circle; a central straight line L of the pointer part is extracted as pointing information of the instrument pointer; and a coordinate system is established based on a probability circlecenter projection algorithm and reading by an angle method.

Exemplary methods, apparatuses, systems, and user interfaces for providing non-manipulable trusted recommendations are described. An embodiment includes determining that users have interacted with entities and causing entity rating user interface modules to be presented to a random subset of the users to allow those users to provide ratings for the entities. The ratings are received, and quality score values are determined for the entities based upon the received ratings and timestamps indicating when each respective user last interacted with the respective entity. A recommendation user interface module is presented to a user, which includes a set of entity modules corresponding to a set of the entities having the largest or smallest quality score values of the determined quality score values.