Abstract: A method includes: preparing a dispersion liquid by mixing a silicon-based porous material into an aqueous solvent in which cellulose nanofibers are dispersed; producing a dried material by drying the dispersion liquid; and producing a composite powder by grinding the dried material. A content ratio of the cellulose nanofibers and the silicon-based porous material in the dispersion liquid is 1:5 to 1:20 on a mass basis. A relationship of the following expression (1) is satisfied, [ Math . 1 ] ? Y ? - 0 . 0 ? 4 ? 8 ? X + 1 .96 ( 1 ) where X (in parts by mass) is a content of the silicon-based porous material relative to 1 part by mass of the cellulose nanofibers contained in the dispersion liquid and Y (in % by mass) is a concentration of the cellulose nanofibers.

Abstract: The invention relates to a control device (1) for a vehicle for determining the perceptual load of a visual and dynamic driving scene. The control device is configured to: ?receive a sensor output (101) of a sensor (3), the sensor (3) sensing the visual driving scene, ?extract a set of scene features (102) from the sensor output (101), the set of scene features (102) representing static and/or dynamic information of the visual driving scene, ?determine the perceptual load (104) of the set of extracted scene features (102) based on a predetermined load model (103), the load model (103) being predetermined based on reference video scenes each being labelled with a load value, ?map the perceptual load to the sensed driving and ?determine a spatial and temporal intensity distribution of the perceptual load across the sensed driving scene. The invention further relates to a vehicle, a system and a method.

Abstract: An adsorbent and a granulated substance for which reduction in adsorption performance in low humidity environments is suppressed are provided. The adsorbent includes: a porous body mainly composed of silicon dioxide, including a plurality of fine pores, and having a specific surface area of not less than 1 m2/g and not more than 10 m2/g; one of an acid and a base with which inside of the fine pores of the porous body is impregnated to neutralize a target gas to generate a salt; and a hydrophilic fiber held in the porous body.

Abstract: A method for determining the intention of a user of a vehicle to brake or accelerate, comprising: acquiring (100) a plurality of EEG signals on the user, applying (101) a predetermined spatial filter on the plurality of EEG signals so as to obtain a target EEG component, detecting (102) a spectral pattern in the EEG component corresponding to an intention to brake or detecting a phase pattern in the EEG component corresponding to an intention to accelerate.

Abstract: A carbon fiber reinforced composite material includes carbon fiber and a thermosetting resin composition. The thermosetting resin composition is a cured product of a liquid composition that contains unsaturated polyester, a curing agent, a polymerization initiator, and a nanocarbon/nanocellulose complex containing nanocarbon modified by functional a group and nanocellulose. The nanocarbon/nanocellulose complex is dispersed in the thermosetting resin composition. The thermosetting resin composition contains 0.05 to 15% by weight of the nanocarbon/nanocellulose complex. A maximum point stress of the carbon fiber reinforced composite material in a tensile test according to JIS K 7164 is 410 N/mm2 or more. A maximum point stress of the carbon fiber reinforced composite material in a three-point bending test according to JIS K 7171 is 310 N/mm2 or more.

Abstract: The invention relates to a control device (1) for a vehicle for determining the perceptual load of a visual and dynamic driving scene. The control device is configured to: receive a sensor output (101) of a sensor (3), the sensor (3) sensing the visual driving scene, extract a set of scene features (102) from the sensor output (101), the set of scene features (102) representing static and/or dynamic information of the visual driving scene, and determine the perceptual load (104) of the set of extracted scene features (102) based on a predetermined load model (103), wherein the load model (103) is predetermined based on reference video scenes each being labelled with a load value The invention further relates to a system and a method.

Abstract: A method for determining the intention of a user of a vehicle to brake or accelerate, comprising: acquiring (100) a plurality of EEG signals on the user, applying (101) a predetermined spatial filter on the plurality of EEG signals so as to obtain a target EEG component, detecting (102) a spectral pattern in the EEG component corresponding to an intention to brake or detecting a phase pattern in the EEG component corresponding to an intention to accelerate.

Abstract: [Problem ] The present invention addresses the problem of providing a novelnanocarbon composite which is used to achieve a stable and uniform mechanical strength improvement effect in a carbon fiber-reinforced plastic or carbon fiber-reinforced composite material impregnated with a nanocarbon-containing resin. [Solution] A novel nanocarbon composite containing nanocarbon and nano-cellulose modified with a functional group(s) or a novel nanocarbon composite containing nanocarbon, nano-cellulose modified with a functional group(s), and a affinitive binding agent is constituted by incorporating a resin serving as a matrix in a carbon fiber-reinforced plastic or carbon fiber-reinforced composite material.

Abstract: The invention relates to a control device (1) for a vehicle for determining the perceptual load of a visual and dynamic driving scene. The control device is configured to: ?receive a sensor output (101) of a sensor (3), the sensor (3) sensing the visual driving scene, ?extract a set of scene features (102) from the sensor output (101), the set of scene features (102) representing static and/or dynamic information of the visual driving scene, ?determine the perceptual load (104) of the set of extracted scene features (102) based on a predetermined load model (103), the load model (103) being predetermined based on reference video scenes each being labelled with a load value, ?map the perceptual load to the sensed driving and ?determine a spatial and temporal intensity distribution of the perceptual load across the sensed driving scene. The invention further relates to a vehicle, a system and a method.

Abstract: The invention relates to a control device (1) for a vehicle for determining the perceptual load of a visual and dynamic driving scene. The control device is configured to: receive a sensor output (101) of a sensor (3), the sensor (3) sensing the visual driving scene, extract a set of scene features (102) from the sensor output (101), the set of scene features (102) representing static and/or dynamic information of the visual driving scene, and determine the perceptual load (104) of the set of extracted scene features (102) based on a predetermined load model (103), wherein the load model (103) is predetermined based on reference video scenes each being labelled with a load value The invention further relates to a system and a method.

Abstract: To provide a therapeutic agent for gastrointestinal disorder such as diabetic gastroparesis. A postprandial gastrokinetic agent containing (A) ghrelin or a ghrelin agonist and (B) motilin or a motilin agonist as active ingredients, in which both the ingredients (A) and (B) are administered so as to act on the stomach after food intake.

Abstract: To provide a therapeutic agent for gastrointestinal disorder such as diabetic gastroparesis. A postprandial gastrokinetic agent containing (A) ghrelin or a ghrelin agonist and (B) motilin or a motilin agonist as active ingredients, in which both the ingredients (A) and (B) are administered so as to act on the stomach after food intake.

Abstract: To provide a therapeutic agent for gastrointestinal disorder such as diabetic gastroparesis. A postprandial gastrokinetic agent containing (A) ghrelin or a ghrelin agonist and (B) motilin or a motilin agonist as active ingredients, in which both the ingredients (A) and (B) are administered so as to act on the stomach after food intake.

Abstract: An image processor (10) has a window selector for choosing a detection window within the image, and a self similarity computation part (40) for determining self-similarity information for a group of the pixels in any part of the detection window, to represent an amount of self-similarity of that group to other groups in any other part of the detector window, and for repeating the determination for groups in all parts of the detection window, to generate a global self similarity descriptor for the detection window. A classifier (50) is used for classifying whether an object is present based on the global self-similarity descriptor. By using global self-similarity rather than local similarities more information is captured which can lead to better classification. In particular, it helps enable recognition of more distant self-similarities inherent in the object, and self-similarities present at any scale.

Abstract: To provide a therapeutic agent for gastrointestinal disorder such as diabetic gastroparesis. A postprandial gastrokinetic agent containing (A) ghrelin or a ghrelin agonist and (B) motilin or a motilin agonist as active ingredients, in which both the ingredients (A) and (B) are administered so as to act on the stomach after food intake.

Abstract: A method (100) and system (300) is described for processing video data comprising a plurality of images. The method and apparatus is for obtaining for labeling of a plurality of objects or regions in an image of a sequence of images followed by label propagation to other images in the sequence based on an inference step and a model.

Abstract: Methods and apparatus are described for monocular 3D human pose estimation and tracking, which are able to recover poses of people in realistic street conditions captured using a monocular, potentially moving camera. Embodiments of the present invention provide a three-stage process involving estimating (10, 60, 110) a 3D pose of each of the multiple objects using an output of 2D tracking-by detection (50) and 2D viewpoint estimation (46). The present invention provides a sound Bayesian formulation to address the above problems. The present invention can provide articulated 3D tracking in realistic street conditions. The present invention provides methods and apparatus for people detection and 2D pose estimation combined with a dynamic motion prior. The present invention provides not only 2D pose estimation for people in side views, it goes beyond this by estimating poses in 3D from multiple viewpoints. The estimation of poses is done in monocular images, and does not require stereo images.

Abstract: Methods and systems for egomotion estimation (e.g. of a vehicle) from visual inputs of a stereo pair of video cameras are described. 3D egomotion estimation is a six degrees of freedom problem in general. In embodiments of the present invention, this is simplified to four dimensions and further decomposed to two two-dimensional sub-solutions. The decomposition allows use of a voting strategy that identifies the most probable solution. An input is a set of image correspondences between two temporally consecutive stereo pairs, i.e. feature points do not need to be tracked over time. The experiments show that even if a trajectory is put together as a simple concatenation of frame-to-frame increments, the results are reliable and precise.

Abstract: Methods and apparatus are described for monocular 3D human pose estimation and tracking, which are able to recover poses of people in realistic street conditions captured using a monocular, potentially moving camera. Embodiments of the present invention provide a three-stage process involving estimating (10, 60, 110) a 3D pose of each of the multiple objects using an output of 2D tracking-by detection (50) and 2D viewpoint estimation (46). The present invention provides a sound Bayesian formulation to address the above problems. The present invention can provide articulated 3D tracking in realistic street conditions. The present invention provides methods and apparatus for people detection and 2D pose estimation combined with a dynamic motion prior. The present invention provides not only 2D pose estimation for people in side views, it goes beyond this by estimating poses in 3D from multiple viewpoints. The estimation of poses is done in monocular images, and does not require stereo images.

Abstract: A method (100) and system (300) is described for processing video data comprising a plurality of images. The method and apparatus is for obtaining for labelling of a plurality of objects or regions in an image of a sequence of images followed by label propagation to other images in the sequence based on an inference step and a model.