Abstract: An object of the present disclosure is to provide a method for producing a core-shell porous silica particle with an increased thickness of the shell. The object is met by a method for producing a core-shell porous silica particle, the method including the following steps: (a) preparing; (b) forming a shell precursor; (c) forming a shell; (d) preparing; (e) forming a shell precursor; and (f) forming a shell; wherein the steps (d) through (f) are further repeated one to three times, in which case the step of forming a shell described in step (d) refers to step (f).

Abstract: A machine learning method includes acquiring data including attendance records of employees and information indicating which employee has taken a leave of absence from work, in response to determining that a first employee of the employees has not taken a leave of absence in accordance with the data, generating a first tensor on a basis of an attendance record of the first employee and parameters associated with elements included in the attendance record, in response to determining that a second employee of the employees has taken a leave of absence in accordance with the data, modifying the parameters, and generating a second tensor on a basis of an attendance record of the second employee and the modified parameters, and generating a model by machine learning based on the first tensor and the second tensor.

Abstract: A learning device receives, for each target, learning data that represents the source of generation of a tensor including a plurality of elements which multi-dimensionally represent the features of the target over a period of time set in advance. When the target satisfies a condition set in advance, the learning device identifies the period of time corresponding to the condition in the learning data. Subsequently, the learning device generates a weighted tensor corresponding to the learning data that is at least either before or after the concerned period of time.

Abstract: A travel amount estimation apparatus includes a vehicle travel amount calculation unit, a sensor travel amount calculation unit, an error cause determination unit, and a vehicle travel amount correction unit. The vehicle travel amount calculation unit acquires vehicle information and calculates a vehicle travel amount based on the vehicle information. The sensor travel amount calculation unit acquires sensor information from an external sensor and calculates a sensor travel amount based on the sensor information. The error cause determination unit determines an error cause of the vehicle travel amount. The vehicle travel amount correction unit corrects the vehicle travel amount by using the sensor travel amount in accordance with the error cause and estimates a travel amount of the vehicle on which it is mounted.

Abstract: An elastic wave device includes a piezoelectric substrate, an interdigital transducer electrode on the piezoelectric substrate, a support on the piezoelectric substrate, including a cavity, and surrounding the interdigital transducer electrode at the cavity, a cover covering the cavity and provided on the support, and a via hole electrode penetrating the cover and the support. The via hole electrode includes a projection portion projecting outward from a side surface portion when seen in a plan view. The projection portion is located within the cover.

Abstract: An image recognizing device includes an image storing portion, a cylindrical distortion correcting portion, a vertical edge extracting portion; a column candidate extracting portion, a pole candidate evaluating portion, a pole foot position setting portion, a movement distance acquiring portion, a detected distance difference calculating portion, and a pole identifying portion. When the vehicle is moving toward a pole candidate, the movement distance acquiring portion acquires a movement distance moved by the vehicle during a prescribed time interval, and the detected distance difference calculating portion calculates a detected distance difference between a starting detected distance and an ending detected distance for the prescribed time interval.

Abstract: An elastic wave device includes a substrate, an IDT electrode, a spacer layer, a cover, and a protective layer. The spacer layer is provided on the substrate and surrounds the IDT electrode. The cover is provided on the spacer layer, is spaced apart from the IDT electrode, and includes a first main surface adjacent to the spacer layer and a second main surface facing the first main surface. The protective layer includes a third main surface contacting the second main surface, a fourth main surface facing the third main surface, and a side surface connected to the fourth main surface. In at least portion of the side surface of the protective layer, a portion including an intersection line between the side surface and the fourth main surface is located farther inward than an outer edge of the substrate in plan view in the thickness direction of the substrate.

Abstract: A display control device includes a front image acquiring portion configured to acquire front images by a front camera that images a front of a vehicle traveling on a traveling lane, a lane line position calculation portion configured to calculate a position of a lane line separating the traveling lane and an adjacent lane adjacent to the traveling lane based on movement of the vehicle in a period from a point at which the front image is acquired by the front camera, a movement track calculation portion configured to calculate a movement track of the vehicle, a map creating portion configured to create a map, and a display control portion configured to display, a synthesized image in which a pseudo lane line image corresponding to the lane line is superimposed onto a rear side image acquired after the movement of the vehicle by a rear side camera based on the map.

Abstract: A travel amount estimation apparatus 10 includes a vehicle travel amount calculation unit 14, a sensor travel amount calculation unit 11, an error cause determination unit 16, and a vehicle travel amount correction unit 17. The vehicle travel amount calculation unit 14 acquires vehicle information 30 related to traveling of an own-vehicle and calculates a vehicle travel amount indicating a travel amount of the own-vehicle based on the vehicle information 30. The sensor travel amount calculation unit 11 acquires sensor information related to a surrounding environment of the own-vehicle from an external sensor 20 and calculates a sensor travel amount indicating a travel amount of the own-vehicle based on the sensor information. The error cause determination unit 16 determines an error cause of the vehicle travel amount.

Abstract: A position estimation apparatus includes: an image information calculation unit that extracts each of image feature points from a plurality of images which are sequentially captured and associates the image feature points with each other between the plurality of images; a travel amount calculation unit that estimates the position of the mobile object; a three-dimensional image feature point calculation unit that estimates a three-dimensional position of the image feature point in a real space on the basis of a result of associating the image feature points with each other and the position of the mobile object; a position correction unit that corrects the three-dimensional position and the position of the mobile object so as to reduce a position error between a position of the three-dimensional position, when the three-dimensional position is reprojected onto any one of the plurality of images, in the relevant image and the image feature point; a route regeneration judgment unit that judges whether or not to r

Abstract: An object of the present disclosure is to provide a method for producing a core-shell porous silica particle with an increased thickness of the shell. The object is met by a method for producing a core-shell porous silica particle, the method including the following steps: (a) preparing; (b) forming a shell precursor; (c) forming a shell; (d) preparing; (e) forming a shell precursor; and (f) forming a shell; wherein the steps (d) through (f) are further repeated one to three times, in which case the step of forming a shell described in step (d) refers to step (f).

Abstract: An adhered-substance detecting apparatus capable of detecting adhered substances such as water droplets, mud, and dust, including those with ambiguous outlines, which adhere to, for example, a lens for an imaging apparatus, and a vehicle system equipped with the adhered-substance detecting apparatus are provided.

Abstract: An adhered-substance detecting apparatus capable of detecting adhered substances such as water droplets, mud, and dust, including those with ambiguous outlines, which adhere to, for example, a lens for an imaging apparatus, and a vehicle system equipped with the adhered-substance detecting apparatus are provided.

Abstract: An engine lubrication system including: an oil pump configured to be driven by an engine; an oil jet mechanism configured to inject oil pressure-fed by the oil pump to a piston; and circuitry configured to set a target hydraulic pressure of the oil injected from the oil jet mechanism according to an operation state of the engine; determine a hydraulic pressure state of the oil injected from the oil jet mechanism; and change a gear stage of the automatic transmission to a lower gear stage in a case that a predetermined condition between the determined hydraulic pressure state and the target hydraulic pressure is satisfied.

Abstract: A vehicle-mounted image processing device 1000 acquires an image around a host vehicle 10, senses a feature amount of a target object present on a road surface from the image, and relative position coordinates with respect to the host vehicle 10, acquires information of a three-dimensional object around the host vehicle 10 and relative position coordinates of the three-dimensional object, distinguishes whether the feature amount is a feature amount of a feature on the road surface or a feature amount of a feature on the three-dimensional object by using a positional relationship between the feature amount and the three-dimensional object, and recognizes the target object by using a feature on the road surface. As a result, a vehicle-mounted image processing device, which is capable of avoiding misrecognition of a part of a three-dimensional object as a target object when sensing the target object present on a road surface such as a parking bay by using a camera image, is provided.

Abstract: An in-vehicle device 4 includes an image acquisition unit 42 that acquires an image photographed by a camera 2 including a lens, a storage unit 7, a dirt detection unit 6 that detects dirt on the lens on the basis of the image acquired by the image acquisition unit 42 and that stores dirt region information indicating a region where the dirt exists in the image into the storage unit 7, a dirt removal information generation unit 8 that generates dirt removal information indicating a region where the dirt on the lens is removed, and a rewriting unit 12 that rewrites the dirt region information on the basis of the dirt removal information. Accordingly, it is possible to rewrite the dirt region information on the basis of the dirt removal information.

Abstract: A display control device includes a front image acquiring portion configured to acquire front images by a front camera that images a front of a vehicle traveling on a traveling lane, a lane line position calculation portion configured to calculate a position of a lane line separating the traveling lane and an adjacent lane adjacent to the traveling lane based on movement of the vehicle in a period from a point at which the front image is acquired by the front camera, a movement track calculation portion configured to calculate a movement track of the vehicle, a map creating portion configured to create a map, and a display control portion configured to display, a synthesized image in which a pseudo lane line image corresponding to the lane line is superimposed onto a rear side image acquired after the movement of the vehicle by a rear side camera based on the map.

Abstract: An engine lubrication system including: an oil pump configured to be driven by an engine; an oil jet mechanism configured to inject oil pressure-fed by the oil pump to a piston; and circuitry configured to set a target hydraulic pressure of the oil injected from the oil jet mechanism according to an operation state of the engine; determine a hydraulic pressure state of the oil injected from the oil jet mechanism; and change a gear stage of the automatic transmission to a lower gear stage in a case that a predetermined condition between the determined hydraulic pressure state and the target hydraulic pressure is satisfied.

Abstract: A vehicle external recognition extracts a feature point from an image including an environment around a vehicle; measures a distance from the vehicle to the feature point based on a movement of the feature point; extracts, as a first road surface area, a local area judged as a road surface based on distance information to the feature point and a position of the feature point in the image from among a plurality of local areas in the image; calculates a multi-dimensional image feature amount including color information for each of the plurality of local areas, and similarity to the first road surface area using the image feature amount with respect to a no-road-surface-extracted area(s) from among the plurality of local areas; extracts a second road surface area from the no-road-surface-extracted area(s) based on the similarity; and recognizes a travelable area using the first and the second road surface areas.

Abstract: A vehicle external recognition extracts a feature point from an image including an environment around a vehicle; measures a distance from the vehicle to the feature point based on a movement of the feature point; extracts, as a first road surface area, a local area judged as a road surface based on distance information to the feature point and a position of the feature point in the image from among a plurality of local areas in the image; calculates a multi-dimensional image feature amount including color information for each of the plurality of local areas, and similarity to the first road surface area using the image feature amount with respect to a no-road-surface-extracted area(s) from among the plurality of local areas; extracts a second road surface area from the no-road-surface-extracted area(s) based on the similarity; and recognizes a travelable area using the first and the second road surface areas.