Abstract: A server apparatus includes a communication unit, and a control unit configured to send an instruction for causing flight vehicles to perform a flight operation, to the flight vehicles. The flight operation includes energizing, by a first flight vehicle, a penetration tool toward a target object in a space, holding a first part, penetrated through the target object, and a second part, not penetrated through the target object, of a cord-shaped member attached to the penetration tool, and flying to outside the space, waiting, by a second flight vehicle, outside the space and receiving any one of the first and second parts from the first flight vehicle, and towing, by the first and second flight vehicles, the target object with the cord-shaped member and transporting the target object to outside the space by flying while respectively holding any one and the other of the first and second parts.

Abstract: An information processing device includes a control unit that controls display of a crosswalk on a road on which a vehicle travels. The control unit outputs information for displaying the crosswalk in a range that is determined based on a state of a pedestrian crossing the road.

Abstract: An information processing device includes a controller configured to control display of a crosswalk on a road on which a vehicle travels. The controller outputs information to be displayed on a display device such that a driver of the vehicle visually recognizes advance notification information that makes advance notification of the display of the crosswalk.

Abstract: A method that is executed by an information processing device includes acquiring first information regarding a vehicle, acquiring second information regarding a first product selected by a user, deciding a procedure for loading the first product into the vehicle based on the first information and the second information, and performing notification of the procedure for loading the first product.

Abstract: A control apparatus is equipped with a control unit. The control unit acquires information on a sound in at least one room arranged along an outer wall of a building. The control unit moves an uninhabited airborne vehicle along the outer wall of the building, based on the information on the sound.

Abstract: An evaluation method for a trained machine learning model includes the steps of (a) inputting evaluation data to the trained machine learning model to generate first explanatory information used for an evaluation of the machine learning model, (b) using a value indicated by each piece of information included in the first explanatory information to generate second explanatory information indicating an evaluation of the trained machine learning model, and (c) outputting the generated second explanatory information.

Abstract: Provided is a learning method including (a) preparing a plurality of pieces of data for learning; (b) dividing the plurality of pieces of data for learning into one or more groups to generate one or more input learning data groups; and (c) training M number of machine learning models, wherein (b) includes (b1) dividing the plurality of pieces of data for input into one or more regions to generate, as one of the input learning data groups, a collection of first type divided input data after division belonging to the same region, or (b2) dividing the plurality of pieces of data for learning belonging to one class into one or more groups to generate, as one of the input learning data groups, a collection of second type divided input data after division.

Abstract: A method according to the present disclosure includes (a) generating N pieces of input data from one target object, (b) inputting the input data to a machine learning model and obtaining M classification output values, one determination class, and a feature spectrum, (c) obtaining a similarity degree between a known feature spectrum group and the feature spectrum for the input data, and obtaining a reliability degree with respect to the determination class as a function of the reliability degree, and (d) executing a vote for the determination class, based on the reliability degree with respect to the determination class, and determining a class determination result of the target object, based on a result of the vote.

Abstract: Disclosed is a gas seal member for high-pressure hydrogen device with sufficiently reduced occurrence of both swelling destruction and blister destruction. The gas seal member is formed of a cross-linked product of an elastomer composition which comprises an elastomer and fibrous carbon nanostructures, wherein a hydrogen diffusion coefficient D1 of a cross-linked product of an elastomer component including the elastomer and a hydrogen diffusion coefficient D2 of the cross-linked product of the elastomer composition satisfy the relationship 0.7<D2/D1<1.0.

Abstract: The present disclosure provides a high-pressure hydrogen apparatus gas seal member which is excellent in durability and is capable of sufficiently suppressing an occurrence of a blister fracture. A high-pressure hydrogen apparatus gas seal member of the present disclosure is a high-pressure hydrogen apparatus gas seal member made of a crosslinked product of an elastomer composition which comprises an elastomer and fibrous carbon nanostructures having an average length of 100 ?m or more and 1000 ?m or less, wherein the fibrous carbon nanostructures have a surface fractal dimension of 2.3 or more and 3.0 or less or a radius of gyration of 50 nm or more and 500 nm or less, and further the fibrous carbon nanostructures has an inner diameter of 4.0 nm or less.

Abstract: A method of performing classification processing on classification target data includes: (a) a step of preparing N machine learning models; (b) a step of, when a plurality of pieces of training data are input into the N machine learning models, preparing a known feature vector group obtained from output of at least one specific layer of the plurality of vector neuron layers; and (c) a step of computing, using a selected machine learning model selected from the N machine learning models a similarity, for each class, between the known feature vector group and a feature vector obtained from output of the specific layer when the classification target data is input into the selected machine learning model, and determining a class for the classification target data using the similarity.

Abstract: Provided is a composition for a gas seal member that can form a gas seal member for a high-pressure hydrogen device that is capable of sufficiently inhibiting both swelling destruction and blister destruction. The composition for a gas seal member is a composition for a gas seal member used in a high-pressure hydrogen environment and contains an elastomer and fibrous carbon nanostructures. The fibrous carbon nanostructures are contained in a proportion of not less than 1 part by mass and not more than 10 parts by mass per 100 parts by mass of the elastomer. An area fraction S (%) of aggregates of the fibrous carbon nanostructures in a cross-section of the composition for a gas seal member and a volume percentage V (volume %) of the fibrous carbon nanostructures in the composition for a gas seal member satisfy a relationship 0?S/V?2.0.

Abstract: A class discrimination method includes: (a) a step of preparing, for each class, a known feature spectrum group obtained based on an output of a specific layer among a plurality of vector neuron layers when a plurality of pieces of training data are input to a machine learning model; and (b) a step of executing a class discrimination processing of the data to be discriminated using the machine learning model and the known feature spectrum group. The step (b) includes: (b1) a step of calculating a feature spectrum based on an output of the specific layer according to the data to be discriminated to the machine model; (b2) a step for each of the one or more classes; (b3) a step of creating an explanatory text of a class discrimination result for the data to be discriminated according to the similarity; and (b4) a step of outputting the explanatory text.

Abstract: A class determination method includes: step (a): preparing, for each of a plurality of classes, a known feature spectrum group obtained when a plurality of pieces of training data are input to a vector neural network type machine learning model; and step (b): executing, by using the machine learning model and the known feature spectrum group, a class determination processing on data to be determined. The step (b) includes step (b1), calculating a feature spectrum according to an input of the data to be determined to the machine learning model, step (b2), calculating a class similarity between the feature spectrum and the known feature spectrum group related to each of the plurality of classes, and step (b3), determining a class of the data to be determined according to the class similarity.

Abstract: An image processing method includes an image encoding step of encoding data in which one channel in each pixel of image data including a plurality of pixels is configured by 2 bits or more into data in which the one channel is configured by 1 bit, a transfer step of transferring the encoded data to a printing apparatus, and an image decoding step of decoding the encoded data using the printing apparatus, in which, in the image encoding step, flag information indicating whether the pixel is a character or a line image or a photograph is assigned, and in the image decoding step, decoding is performed by selecting a first decoding method or a second decoding method based on the flag information.

Abstract: Disclosed is a gas seal member for high-pressure hydrogen device with sufficiently reduced occurrence of both swelling destruction and blister destruction. The gas seal member is formed of a cross-linked product of an elastomer composition which comprises an elastomer and fibrous carbon nanostructures, wherein a hydrogen diffusion coefficient D1 of a cross-linked product of an elastomer component including the elastomer and a hydrogen diffusion coefficient D2 of the cross-linked product of the elastomer composition satisfy the relationship 0.7<D2/D1<1.0.

Abstract: An image processing method includes an image encoding step of encoding data in which one channel in each pixel of image data including a plurality of pixels is configured by 2 bits or more into data in which the one channel is configured by 1 bit, a transfer step of transferring the encoded data to a printing apparatus, and an image decoding step of decoding the encoded data using the printing apparatus, in which, in the image encoding step, flag information indicating whether the pixel is a character or a line image or a photograph is assigned, and in the image decoding step, decoding is performed by selecting a first decoding method or a second decoding method based on the flag information.

Abstract: Provided is a composition for a gas seal member that can form a gas seal member for a high-pressure hydrogen device that is capable of sufficiently inhibiting both swelling destruction and blister destruction. The composition for a gas seal member is a composition for a gas seal member used in a high-pressure hydrogen environment and contains an elastomer and fibrous carbon nanostructures. The fibrous carbon nanostructures are contained in a proportion of not less than 1 part by mass and not more than 10 parts by mass per 100 parts by mass of the elastomer. An area fraction S (%) of aggregates of the fibrous carbon nanostructures in a cross-section of the composition for a gas seal member and a volume percentage V (volume %) of the fibrous carbon nanostructures in the composition for a gas seal member satisfy a relationship 0?S/V?2.0.

Abstract: A silencer includes conduit with a downstream end portion configured from a tubular member which includes a conduit discharge port extending through a silencer main body and discharges exhaust gas to the outside therethrough. The tubular member includes a resonance communication hole communicating with a resonance chamber and an upstream side communication hole and a downstream side communication hole communicating with a second chamber. A barrier wall serving as a throttle portion for throttling an exhaust path at an intermediate location of the tubular member is provided in the inside of the tubular member and between the upstream side communication hole and the downstream side communication hole.