Abstract: A Feed Mixer Drivetrain provided with a transmission and control method therefor, wherein a controller is so configured as control a sequence of operation phases of the feed mixer; each operation phase defining a predetermined speed of the input shaft of the feed mixer via the transmission and a predetermined duration.

Abstract: A compressor blade having a leading edge and a trailing edge, and a surface pattern between the leading and trailing edges, the surface pattern comprising at least one set of herringbone riblets formed of a plurality of v-shaped riblets, wherein the v-shaped riblets are spaced apart by a distance of between 200-400 ?m, and have a height of between 50-120 ?m.

Abstract: In an autonomous driving adjustment apparatus, a condition obtainer repeatedly obtains a driving-related condition during execution of autonomous driving control of a vehicle. The driving-related condition includes at least one of control information about the autonomous driving control of the vehicle, and environmental condition information around the vehicle during execution of the autonomous driving control of the vehicle. The condition obtainer obtains the driving-related condition in response to a driver's intervention in the autonomous driving control of the vehicle as an intervention-responsive driving-related condition. A parameter adjuster determines whether the intervention-responsive driving-related condition has been changed from a previous driving-related condition in the driving-related conditions. The previous driving-related condition is obtained immediately previous to the intervention-responsive condition.

Abstract: In an autonomous driving adjustment apparatus, a condition obtainer obtains condition information indicative of a simulation condition of an autonomous driving simulation. A physical activity obtainer obtains physical activity information about a user who is experiencing an autonomous driving simulation. The physical activity information is correlated with the obtained condition information. A parameter adjuster analyses the condition information and the physical activity information to thereby adjust at least one control parameter used for the autonomous driving simulation.

Abstract: Disclosed herein is a drawing processing apparatus including: a drawing library section adapted to transmit a drawing command via a network; and a data transmission management section adapted to transmit reusable data, used to execute the drawing command, via the network at a time different from when the drawing command is transmitted. Also disclosed herein is a drawing processing apparatus including: a data reception management section adapted to receive reusable data, used to execute a drawing command, via a network at a time different from when the drawing command is received; and a drawing library section adapted to set the reusable data, received by the data reception management section, in a graphics processor as a resource and adapted to receive the drawing command via the network and supply the drawing command to the graphics processor.

Abstract: Disclosed herein is a drawing processing apparatus including: a drawing library section adapted to transmit a drawing command via a network; and a data transmission management section adapted to transmit reusable data, used to execute the drawing command, via the network at a time different from when the drawing command is transmitted. Also disclosed herein is a drawing processing apparatus including: a data reception management section adapted to receive reusable data, used to execute a drawing command, via a network at a time different from when the drawing command is received; and a drawing library section adapted to set the reusable data, received by the data reception management section, in a graphics processor as a resource and adapted to receive the drawing command via the network and supply the drawing command to the graphics processor.

Abstract: A signal converting apparatus includes the following elements. A converting section converts an input signal into output signals on the basis of the values of reference parameters, serving as references of a plurality of parameters for signal conversion, and the values of newly proposed parameters. An evaluation input receiving section receives an evaluation input indicating the selection of either the output signal based on the values of the reference parameters or the output signal based on the values of the newly proposed parameters. A parameter updating section linearly changes the values of the newly proposed parameters when the evaluation input indicates the selection of the output signal based on the values of the newly proposed parameters, and nonlinearly changes the values of the reference and newly proposed parameters when the evaluation input indicates the selection of the output signal based on the values of the reference parameters.

Abstract: An image processing apparatus that converts an input image having first resolution into an output image having second resolution higher than the first resolution includes a super-resolution processing unit that converts the input image into an SR image having the second resolution through motion compensation, a motion mask generating unit that generates a motion mask indicating an accuracy of estimation, an edge direction information generating unit that generates edge direction information indicating an edge direction of each area of the input image, a weight map generating unit that generates a weight map indicating likelihood of the edge direction of each of the areas, an interpolation processing unit that converts the input image into an interpolated image having the second resolution, a weight computing unit that computes a weight, and an image generating unit that generates the output image by constructing a weighted sum of the SR image and interpolated image.

Abstract: Provided is an image processing apparatus including a super resolving processor including: a high frequency estimator which generates difference image information between a low resolution image input as a processing object image of a super resolving process and a mid-processing image of the super resolving process or a processed image, that is, an initial image; and a calculator which performs a process of updating the processed image through a process of calculation between the difference image information output from the high frequency estimator and the processed image, wherein the high frequency estimator performs a learning type data process using learned data in the difference image information generating process.

Abstract: An image processing apparatus that converts an input image having first resolution into an output image having second resolution higher than the first resolution includes a super-resolution processing unit that converts the input image into an SR image having the second resolution through motion compensation, a motion mask generating unit that generates a motion mask indicating an accuracy of estimation, an edge direction information generating unit that generates edge direction information indicating an edge direction of each area of the input image, a weight map generating unit that generates a weight map indicating likelihood of the edge direction of each of the areas, an interpolation processing unit that converts the input image into an interpolated image having the second resolution, a weight computing unit that computes a weight, and an image generating unit that generates the output image by constructing a weighted sum of the SR image and interpolated image.

Abstract: A signal converting apparatus includes the following elements. A converting section converts an input signal into output signals on the basis of the values of reference parameters, serving as references of a plurality of parameters for signal conversion, and the values of newly proposed parameters. An evaluation input receiving section receives an evaluation input indicating the selection of either the output signal based on the values of the reference parameters or the output signal based on the values of the newly proposed parameters. A parameter updating section linearly changes the values of the newly proposed parameters when the evaluation input indicates the selection of the output signal based on the values of the newly proposed parameters, and nonlinearly changes the values of the reference and newly proposed parameters when the evaluation input indicates the selection of the output signal based on the values of the reference parameters.

Abstract: An image processing apparatus is provided for accurately recognizing an edge direction to perform an accurate image interpolation. A direction determining unit recognizes an edge direction of a remarked pixel and outputs it with information on its position to a reliability ranking unit and a directional distribution generating unit. A direction interpolating unit interpolates the remarked pixel in terms of directional interpolation. The reliability ranking unit determines whether or not a interpolated pixel is properly interpolated by the direction interpolating unit, ranks its reliability, and outputs a result to a directional distribution generating unit. This directional distribution generating unit generates directional distribution based on directional information and reliability information. A direction selecting unit recognizes an edge direction based on the directional distribution generated by the directional distribution generating unit.

Abstract: An image processing apparatus is provided for accurately recognizing an edge direction to perform an accurate image interpolation. A direction determining unit recognizes an edge direction of a remarked pixel and outputs it with information on its position to a reliability ranking unit and a directional distribution generating unit. A direction interpolating unit interpolates the remarked pixel in terms of directional interpolation. The reliability ranking unit determines whether or not a interpolated pixel is properly interpolated by the direction interpolating unit, ranks its reliability, and outputs a result to a directional distribution generating unit. This directional distribution generating unit generates directional distribution based on directional information and reliability information. A direction selecting unit recognizes an edge direction based on the directional distribution generated by the directional distribution generating unit.

Abstract: An image processing apparatus is provided for accurately recognizing an edge direction to perform an accurate image interpolation. A direction determining unit recognizes an edge direction of a remarked pixel and outputs it with information on its position to a reliability ranking unit and a directional distribution generating unit. A direction interpolating unit interpolates the remarked pixel in terms of directional interpolation. The reliability ranking unit determines whether or not a interpolated pixel is properly interpolated by the direction interpolating unit, ranks its reliability, and outputs a result to a directional distribution generating unit. This directional distribution generating unit generates directional distribution based on directional information and reliability information. A direction selecting unit recognizes an edge direction based on the directional distribution generated by the directional distribution generating unit.

Abstract: An image processing apparatus is provided for accurately recognizing an edge direction to perform an accurate image interpolation. A direction determining unit recognizes an edge direction of a remarked pixel and outputs it with information on its position to a reliability ranking unit and a directional distribution generating unit. A direction interpolating unit interpolates the remarked pixel in terms of directional interpolation. The reliability ranking unit determines whether or not a interpolated pixel is properly interpolated by the direction interpolating unit, ranks its reliability, and outputs a result to a directional distribution generating unit. This directional distribution generating unit generates directional distribution based on directional information and reliability information. A direction selecting unit recognizes an edge direction based on the directional distribution generated by the directional distribution generating unit.

Abstract: An image processing apparatus is provided for accurately recognizing an edge direction to perform an accurate image interpolation. A direction determining unit recognizes an edge direction of a remarked pixel and outputs it with information on its position to a reliability ranking unit and a directional distribution generating unit. A direction interpolating unit interpolates the remarked pixel in terms of directional interpolation. The reliability ranking unit determines whether or not a interpolated pixel is properly interpolated by the direction interpolating unit, ranks its reliability, and outputs a result to a directional distribution generating unit. This directional distribution generating unit generates directional distribution based on directional information and reliability information. A direction selecting unit recognizes an edge direction based on the directional distribution generated by the directional distribution generating unit.

Abstract: An image processing apparatus is provided for accurately recognizing an edge direction to perform an accurate image interpolation. A direction determining unit recognizes an edge direction of a remarked pixel and outputs it with information on its position to a reliability ranking unit and a directional distribution generating unit. A direction interpolating unit interpolates the remarked pixel in terms of directional interpolation. The reliability ranking unit determines whether or not a interpolated pixel is properly interpolated by the direction interpolating unit, ranks its reliability, and outputs a result to a directional distribution generating unit. This directional distribution generating unit generates directional distribution based on directional information and reliability information. A direction selecting unit recognizes an edge direction based on the directional distribution generated by the directional distribution generating unit.

Abstract: An image processing apparatus is provided for accurately recognizing an edge direction to perform an accurate image interpolation. A direction determining unit recognizes an edge direction of a remarked pixel and outputs it with information on its position to a reliability ranking unit and a directional distribution generating unit. A direction interpolating unit interpolates the remarked pixel in terms of directional interpolation. The reliability ranking unit determines whether or not a interpolated pixel is properly interpolated by the direction interpolating unit, ranks its reliability, and outputs a result to a directional distribution generating unit. This directional distribution generating unit generates directional distribution based on directional information and reliability information. A direction selecting unit recognizes an edge direction based on the directional distribution generated by the directional distribution generating unit.

Abstract: An image processing apparatus is provided for accurately recognizing an edge direction to perform an accurate image interpolation. A direction determining unit recognizes an edge direction of a remarked pixel and outputs it with information on its position to a reliability ranking unit and a directional distribution generating unit. A direction interpolating unit interpolates the remarked pixel in terms of directional interpolation. The reliability ranking unit determines whether or not a interpolated pixel is properly interpolated by the direction interpolating unit, ranks its reliability, and outputs a result to a directional distribution generating unit. This directional distribution generating unit generates directional distribution based on directional information and reliability information. A direction selecting unit recognizes an edge direction based on the directional distribution generated by the directional distribution generating unit.

Abstract: The inventive process produces a Li(NbTa)O.sub.3 single-domain, single-crystalline film on a lithium tantalate single-crystal. The film is grown on the lithium tantalate, single-crystal by hydrothermal synthesis wherein the alkaline solution is heated to a temperature which is lower than the Curie point temperature of lithium tantalate. The mother material is a mixture of tantalum and lithium salts.The resulting film may guide several modes of light, and possibly modulate them.