Abstract: There is provided a vehicle control apparatus that can correctly determine that lane changing is possible in a situation that by accelerating or decelerating, an ego vehicle can perform the lane changing without interfering with an obstacle, and that raises the comfortability for the drier. In the vehicle control apparatus, a target trajectory for performing lane changing under restriction of not entering an entry prohibition region is calculated; a determination section determines whether or not lane changing is possible, based on at least information on a position of the ego vehicle in the target trajectory; in the case where it is determined that lane changing is possible, the ego vehicle is made to change a lane, by use of the target trajectory.

Abstract: The present invention is a solvent composition including: a solvent including 1-chloro-2,3,3-trifluoro-1-propene; and at least one type of stabilizer selected from a group consisting of phenols, ethers, epoxides, amines, alcohols, and hydrocarbons, and is a solvent composition which is excellent in solubility of various organic substances and has no adverse effect on a global environment, and is excellent in stability, and this solvent composition can be used for a wide range of industrial uses such as cleaning, coating uses, and a heat transfer fluid.

Abstract: A floor structure of an electric vehicle floor structure includes a battery unit and an underfloor panel. The battery unit is arranged underneath a floor of a passenger compartment between front wheels and rear wheels. The underfloor panel covers an entire bottom surface of the battery unit from below. The underfloor panel is provided with a center panel and a surrounding panel. The center panel has a noise absorption material that arranged at a lateral-direction center and a longitudinal-direction center of the underfloor panel. The surrounding panel has a high-strength material arranged around the center panel.

Abstract: The present invention provides 2-{[3-(2-chloro-4-fluorophenoxy)pyridin-2-yl]oxy}acetic acid or an alkali metal salt thereof having an excellent control effect on plant diseases.

Abstract: An information processing apparatus includes: a memory configured to store an image processing program having a tree structure in which a partial program is incorporated in each of a plurality of nodes; and a processor configured to performs, based on the image processing program, operations of; calculating a feature amount based on a processing result in each intermediate node excluding a terminal node among the plurality of nodes when executing image processing on a captured image which is captured by an imaging device; and calculating a performance evaluation value of the image processing program based on a variation amount of the feature amount in accordance with elapse of time.

Abstract: An information processing apparatus includes a memory; and a processor configured to determine a plurality of initial image processing programs and to add the initial image processing programs to an image processing program group, extract at least two image processing programs from the image processing program group, generate a candidate of a next-generation image processing program from the extracted image processing programs, based on genetic programming, calculate a fitness of the candidate of the next-generation image processing program, using a learning data item including an input image and a target processing result, and determine the next-generation image processing program or update the image processing program group based on the calculated fitness, wherein the processor is configured to determine, as some of the initial image processing programs, at least some of first image processing programs included in the image processing program group upon previous determination of a next-generation image proc

Abstract: An information processing apparatus includes: a memory; and a processor configured to: execute genetic processing on class classification programs of a set of class classification programs; acquire a distance between each learning data and an identification boundary regarding evaluation identifiers created by using first class learning data belonging to a first class and second class learning data belonging to a second class according to the class classification program; calculate a statistic amount of a distribution of a distance to the identification boundary for each of the first class learning data and the second class learning data; define a fitness calculation equation based on the statistic amounts of the first class learning data and the second class learning data; calculate the fitness of the class classification program; and determine whether or not to replace the class classification program with one of class classification programs of the set depending on the fitness.

Abstract: An image inspection learning method implemented by a computer, the method includes: generating non-defective region data obtained by extracting, from a learning image including a defective region, a non-defective region other than the defective region; inputting the learning image into an image processing program for image inspection that detects the defective region in an input image as a detection target for the defective region, and acquiring an output image; extracting a feature quantity for a predetermined region of the output image; classifying, based on the non-defective region data, the feature quantity for the predetermined region into a non-defective feature quantity corresponding to the non-defective region and a defective feature quantity corresponding to the defective region; and using the non-defective feature quantity to learn a discriminator that discriminates a region of the output image outputted from the image processing program.

Abstract: A powder collection device includes a collection container configured to store powder collected and a powder amount detector including a pair of electrodes. The powder amount detector detects an amount of powder in the collection container based on capacitance between the pair of electrodes.

Abstract: An information processing apparatus is configured to execute generation processing for generating candidates of second image processing program based on an image processing program, the second image processing program being a next generation image processing program in genetic programming, (b): execute first evaluation processing for evaluating fitness of the candidates of the second image processing program by using low-resolution learning data including an input image and a target processing result, the low-resolution learning data being obtained by reducing the resolution of at least the input image, (c): execute second evaluation processing for narrowing down the candidates of the second image processing program based on an evaluation result in the first evaluation processing, and evaluating the fitness of the narrowed-down candidates by using the learning data, and (d): execute determination processing for determining the second image processing program based on an evaluation result in the second evaluat

Abstract: In a program generation apparatus, an operating unit repeatedly performs setting process of calculating the increasing rate of the maximum fitness level among the fitness levels of individuals included in a population, setting a setting value indicating the number of child individuals to be generated to a first value if the increasing rate is higher than or equal to a first threshold and setting the setting value to a second value greater than the first value if the increasing rate is lower than the first threshold, an evolution process of generating as many child individuals as specified by the setting value, based on a parent individual selected from the individuals included in the population, and a survival selection process of selecting an individual with the highest fitness level from the parent and child individuals and replacing one of the individuals in the population with the selected individual.

Abstract: Provided is a composition for optical stereolithography the stereolithography (photocuring) of which is completed in a shorter time and which provides a stereolithographic object having excellent strength (for example, strength that prevents the occurrence of a fracture and the like when the stereolithographic object is subjected to an impact or dropping, and strength that allows the stereolithographic object to withstand repeated folding). The composition for optical stereolithography of the present invention includes at least 2 to 40% by mass of (A1) a radical polymerizable compound of a dioxane (meth)acrylate, 5 to 40% by mass of (A2) a radical polymerizable compound of a bifunctional polyester-based urethane (meth)acrylate, 5 to 40% by mass of (A3) a radical polymerizable compound of a bifunctional polyether-based urethane (meth)acrylate, and 20 to 87% by weight of (A4) a radical polytnerizable compound other than the (A1), (A2), and (A3), as (A) radical polymerizable compounds; 0.

Abstract: There is provided a program generating apparatus including a generating unit and a genetic processing unit. The generating unit is configured to generate tree structures each representing an image classification program. Each of the tree structures has a first level group and a second level group. Elements of nodes in the first level group are selected from amongst image filters each used to apply preprocessing to an input image. An element of a node in the second level group is selected from amongst setting programs each used to set a different value as a control parameter for generating a classifier based on information obtained by execution of the elements selected for the nodes in the first level group. The genetic processing unit is configured to output, using genetic programming, a tree structure with a fitness score exceeding a predetermined threshold based on the tree structures.

Abstract: An information processing device includes: a memory; and a processor coupled to the memory and configured to: accept specification of a feature region that includes a characteristic portion in a learning image; create first data that indicates a degree of overlap between the feature region and each of divided regions obtained by dividing the learning image; perform image conversion on the learning image by an image classification program in which element filters are combined; calculate an image feature value of each of the divided regions from an image obtained; create second data that indicates the image feature value corresponding to each of the divided regions; calculate a similarity between the first data and the second data; and use a result of evaluating the image classification program on the basis of the similarity, for execution of a genetic programming.

Abstract: A powder amount detector detects an amount of powder in a powder container of a cylindrical shape arranged horizontally. The powder amount detector includes a pair of measuring electrodes configured to detect capacitance between the pair of measuring electrodes to detect the amount of powder. The pair of measuring electrodes is disposed around the powder container. One of the pair of measuring electrodes has a flat shape, and the other of the pair of measuring electrodes has an arc shape following a shape of the powder container.

Abstract: 1-Aminocyclopropanecarboxylic acid non-hydrate can be obtained by treating 1-aminocyclopropanecarboxylic acid hydrochloride with a tertiary amine in the presence of a C3-C4 alcohol and water, keeping the reaction mixture at 50° C. or below, collecting the precipitated crystal of 1-aminocyclopropanecarboxylic acid 0.5 hydrate by filtration, and contacting the obtained crystal with a C1-C2 alcohol.

Abstract: 1-Aminocyclopropanecarboxylic acid non-hydrate can be obtained by treating 1-aminocyclopropanecarboxylic acid hydrochloride with a tertiary amine in the presence of a C3-C4 alcohol and water, keeping the reaction mixture at 50° C. or below, collecting the precipitated crystal of 1-aminocyclopropanecarboxylic acid 0.5 hydrate by filtration, and contacting the obtained crystal with a C1-C2 alcohol.

Abstract: An information processing device includes: a memory; and a processor coupled to the memory and configured to: automatically generate an image classification program that classifies a first learning image group classified into two classes in advance into the two classes on a basis of the genetic programming; and generate a multi-class image classifier that gives a second learning image group classified into three or more classes in advance to the image classification program automatically and classifies the second learning image group into the three or more classes.

Abstract: An information processing device includes: a memory; and a processor coupled to the memory and configured to: calculate an image feature amount from a plurality of original images for learning; classify the plurality of original images into each class by performing clustering on the plurality of original images by using the image feature amount; calculate an evaluation value of an image processing program with respect to the plurality of original images for each class; generate an image processing program by genetic programming on a basis of the evaluation value calculated for each class; and store an image processing program of which the evaluation value satisfies a predetermined condition in association with each class.

Abstract: A powder amount detector detects an amount of powder in a powder container of a cylindrical shape arranged horizontally. The powder amount detector includes a pair of measuring electrodes configured to detect capacitance between the pair of measuring electrodes to detect the amount of powder. The pair of measuring electrodes is disposed around the powder container. One of the pair of measuring electrodes has a flat shape, and the other of the pair of measuring electrodes has an arc shape following a shape of the powder container.