Abstract: According to one embodiment, a robot motion planning device includes processing circuitry. The processing circuitry receives observation information obtained by observing at least part of a movable range of a robot. The processing circuitry determines, in a case where first observation information is received, a target position to which the robot is to make a motion, using an action-value function and the first observation information. The processing circuitry receives measurement information obtained by measuring a state of the robot, calculates a difference corresponding to the first observation information, using the measurement information, and determines a motion plan of a force-controlled motion of the robot, based on the target position and the difference.

Abstract: An image processing apparatus includes processing circuitry configured: to obtain a plurality of images taken so as to include a target site of a subject in temporal phases; and to calculate an index indicating a state of an adhesion at a boundary between a first site of the subject corresponding to a first region and a second site of the subject corresponding to a second region, by using classification information used for classifying each of pixels into one selected from between a first class related to the first region and a second class related to a second region positioned adjacent to the first region in a predetermined direction, on a basis of mobility information among the images in the temporal phases with respect to the pixels in the images that are arranged in the predetermined direction across the boundary between the first region and the second region of the images.

Abstract: According to an embodiment, a network training device includes a first training unit that trains a first network that converts an input signal to a first signal, a second training unit that trains a second network that converts the first signal to a second signal, and a third training unit that trains a third network that converts the second signal to an output signal. The first training unit trains the first network as an encoder of a first autoencoder. The second training unit trains the second network by backpropagation by using a second signal for training corresponding to the first signal for training as supervised data. The second signal for training is generated by an encoder of a second autoencoder that encodes a third signal for training into the second signal for training, and decodes the second signal for training into the third signal for training.

Abstract: A process of forming a semiconductor optical device is disclosed. The semiconductor optical device provides a waveguide structure accompanied with a heater for varying a temperature of the waveguide structure. The process includes steps of: (a) forming a striped mask on a semiconductor substrate; (b) selectively growing a dummy layer on the semiconductor substrate; (c) removing the patterned mask; (d) burying the dummy layer by a supplemental layer; (e) exposing a portion of the dummy layer by etching a portion of the supplemental layer; (f) and removing the dummy layer by immersing the dummy layer within a solution that shows an etching rate for the dummy layer enough faster than an etching rate for the supplemental layer and the substrate so as to leave a void in a region the dummy layer had existed.

Abstract: An optical semiconductor device is provided as one achieving reduction of power in phase control. The optical semiconductor device has: a first optical waveguide having a plurality of segments each of which has a diffraction grating region with a diffraction grating and a space portion coupled to the diffraction grating region, having two ends interposed between the diffraction grating regions, and having a constant optical length, wherein at least one of the segments is provided with a phase shift structure; a first phase control device for adjusting a phase of light in each segment with the phase shift structure; and a second phase control device for adjusting a phase of light in each segment without the phase shift structure.

Abstract: An ultrasound diagnosis apparatus according to an embodiment includes processing circuitry. The processing circuitry obtains time-series data having complex values based on a reflected wave of an ultrasound wave transmitted by an ultrasound probe and calculates an expansion coefficient in a case in which the obtained time-series data is expressed as a linear sum of a plurality of mathematical functions, the time-series data having, as an argument, a first parameter related to time. The plurality of mathematical functions are mathematical functions that are possible to be generated on a basis of a function family that has, as arguments, the first parameter and a second parameter different from the first parameter.

Abstract: According to one embodiment, an electronic device includes circuitry. The circuitry is configured to: receive first image data for displaying a first image that comprises a plurality of regions, modify a first region of the first image by adding at least a high-frequency component based on second image data, the first region of the first image including fewer noise components than a first threshold, and output third image data for displaying the first image that comprises the plurality of regions and the modified first region.

Abstract: According to one embodiment, a motion vector detection apparatus includes following units. The layering unit generates layers with different resolutions for each of first and second images. The first extraction unit extracts a space candidate vector. The second extraction unit extracts a time candidate vector. The third extraction unit extracts a layer candidate vector. The determination unit determines a motion vector to be assigned to the target block, based on correlations between the target block and blocks, the blocks being located in a layer which corresponds to the second image and being specified by assigning, to the target block, the space, time, and layer candidate vectors.

Abstract: According to one embodiment, an electronic device includes circuitry. The circuitry is configured to: receive first image data for displaying a first image that comprises a plurality of regions, modify a first region of the first image by adding at least a high-frequency component based on second image data, the first region of the first image including fewer noise components than a first threshold, and output third image data for displaying the first image that comprises the plurality of regions and the modified first region.

Abstract: A semiconductor laser diode (LD) is disclosed. The LD provides a sampled grating distributed feedback (SG-DFB region) region and a distributed feedback (DFB) region accompanied with a region to shift the phase of light between two regions. Because the coupling coefficient ? for the light forwarding the facet of the SG-DFB region is lowered, while, the coupling coefficient for the light forwarding the facet of the DFB region is kept in high, the optical output power extracted from the facet of the SG-DFB region is enhanced.

Abstract: A magnetic resonance imaging apparatus according to an embodiment includes an MRI system and a processing circuitry. The MRI system includes a receiving coil to receive a magnetic resonance signal. The processing circuitry is configured to generate an image based on the magnetic resonance signal, the image including a plurality of pixels; calculate a feature value corresponding to a signal value of the pixel; correct the feature values based on a sensitivity of the receiving coil; and reduce noise in the image based on distribution of the corrected feature values.

Abstract: An image processing device includes processing circuitry configured to acquire a plurality of basis patterns for converting a first region and a second region in a target image, calculate a contribution ratio of each basis pattern, and select one or more basis patterns from higher contribution ratio to lower contribution ratio until a sum of contribution ratios of the selected one or more basis patterns reaches a specific first threshold. The processing circuitry is further configured to generate a control signal of an intensity that increases with a number of the one or more selected basis patterns, project a third region in the target image to the basis patterns to obtain a projection coefficient, reduce noise of the projection coefficient based on the intensity of the control signal, and reconstruct the third region using the projection coefficient after the noise is reduced.

Abstract: According to an image processing apparatus includes an acquisition unit, a storage unit, and a convolution unit. The acquisition unit is configured to acquire an input image captured via an optical system. The storage unit is configured to store therein a coefficient designed through learning for each of positions of respective pixel sets referred to in a convolution such that a result of the convolution of a second image with the coefficient is brought nearer to a first image, the second image being obtained by deteriorating the first image through a predetermined deterioration process. The convolution unit is configured to read the coefficient from the storage unit correspondingly to a position of a pixel set referred to in the input image, and generate an output image by convoluting the pixel set with the coefficient.

Abstract: There is provided an image processing device including: a motion vector acquirer, a position generator, a weight calculator and an image generator. The acquirer acquires motion vectors with respect to a reference frame for pixels of an input frame. The position generator generates first position information indicating a position on a first frame on a basis of position information in the input frame and the motion vector of the pixel, for each pixel of the input frame. The calculator calculates a weight depending a distance from the position indicated by first position information to a pixel of the first frame, for each pixel of the first frame. The generator calculates an output pixel value, for each pixel of the first frame, on a basis of the weight and a pixel value of the pixel in the input frame, to generate an output frame.

Abstract: A tunable LD with reduced number of the butt joint is disclosed. The tunable LD includes the reflector and a waveguide core. The reflector includes a plurality of segments each having a grating region and a space region adjacent to the grating region. The waveguide core includes a gain region extending in two segments adjacent to each other and a tuning region extending in two segments adjacent to each other and also adjacent to the segment for the gain region.

Abstract: According to one embodiment, an image processing apparatus includes an acquisition unit, a clustering unit, a detection unit, and a correction unit. The acquisition unit is configured to acquire a moving image including a plurality of frames. The clustering unit is configured to cluster frames having a similar scene to the same group in the moving image. The detection unit is configured to detect at least one object region from each frame clustered to the same group, and to calculate a color distribution of the object region of the each frame. The correction unit is configured to select a typical color distribution of the object region from the color distribution of the each frame, and to correct a color of the each frame clustered to the same group, based on the typical color distribution.

Abstract: According to one embodiment, an image processing apparatus includes following units. The extraction unit extracts, from image data including a plurality of pixels, wavelength signal values of the plurality of pixels. The light attenuation amount calculation unit calculates a light attenuation amount based on a ratio of a wavelength signal value of a target pixel to a representative signal value obtained from wavelength signal values of a local region around the target pixel. The pigment amount calculation unit calculates a pigment amount of a predetermined pigment component at the target pixel by resolving the light attenuation amount using an absorbance base of the predetermined pigment component.

Abstract: A wavelength monitor monolithically integrated with a tunable LD is disclosed. The wavelength monitor includes at least two filters, each filter having a different periodic transmission spectrum. A transmittance of the first filter, and another transmittance of the second filter at a grid wavelength attributed to a WDM system forms a combination which is specific to the grid wavelength but different from other combinations at other grid wavelengths.

Abstract: A semiconductor laser includes: a first reflector that is provided in a gain region and has a sampled grating in which a plurality of segments are combined; and a second reflector that is optically connected to the first reflector and has a sampled grating in which a plurality of segments are combined, the plurality of segments of the first reflector having a short-segment region and a long-segment region, the long-segment region having an optical length that is larger than that of the short-segment region and being positioned closer to the second reflector than at least one of the short-segment region, the optical length of the long-segment region being larger than that of the short-segment region in a range of integral multiple (n?1) plus-minus 25% of the optical length of the short-segment.

Abstract: According to an embodiment, a recognition device includes a generation unit to select, plural times, groups each including learning samples from a storage unit, learn a classification metric for classifying the groups selected in each selection, and generate an evaluation metric including the classification metrics; a transformation unit to transform a first feature value of an image including an object into a second feature value using the evaluation metric; a calculation unit to calculate similarities of the object to categories in a table using the second feature value and reference feature values; and a registration unit to register the second feature value as the reference feature value in the table associated with the category of the object and register the first feature value as the learning sample belonging to the category of the object in the storage unit. The generation unit performs the generation again.