Abstract: The present invention provides a system for identifying individual crowns of individual fruit trees using aerial images. A crown identification device 40 of the present invention includes an identification criterion determination unit 41 and a crown identification unit 42.

Abstract: A data conversion processing unit converts a second group including a plurality of reflection point data units in which a reflection point corresponding to each reflection point data unit belongs to a three-dimensional object among a first data unit group into a third group including a plurality of projection point data units by projecting the second group onto a horizontal plane in a world coordinate system. A clustering processing unit clusters the plurality of projection point data units of the third group into a plurality of clusters based on positions of these units on the horizontal plane. A space of interest setting unit sets a space of interest for each cluster by using the plurality of reflection point data units corresponding to the plurality of projection point data units included in each cluster.

Abstract: A moving body positioning system of the present invention includes: a GNSS receiver that is included in a moving body and that receives a GNSS signal transmitted from each of one or more satellites and acquires pieces of observation data respectively corresponding to the satellites; an external data acquisition means that acquires external data; a multipath detection means that detects multipath with respect to an observation data group; and a positioning calculation means that performs positioning calculation after a selection of a satellite to be used and a satellite to be excluded on the basis of a result of the multipath detection.

Abstract: The model generation device 60 of the present invention includes regularization parameter candidate setting means 61 that outputs a search set of regularization parameters in which a plurality of solution candidates are set, the solution candidates having at least mutually different values of a regularization parameter that affects a term of a strong regularization variable that is one or more variables specifically defined among the explanatory variables, model learning means that learns a prediction model corresponding to each of the plurality of solution candidates, accuracy evaluation means 62 that evaluates a prediction accuracy of each of the learned prediction models, transition evaluation means 63 that evaluates the number of defective samples, which is the number of samples for which a graph shape or the transition is not valid for each of the learned prediction models, and model determination means 64.

Abstract: A system acquiring data for phenotyping on a farm field where crops are bred. The device includes: an information storage unit storing farm field information, an imaging condition, and aerial images of the farm field linked with imaging condition; a classification unit classifying the aerial images into a plurality of image groups having different imaging altitude ranges on the basis of an imaging altitude included in the imaging condition; an image processing unit creating image-processed data from at least one of the image groups and imaging condition and analyzes a trait of in the farm field from the image-processed data; a visualization unit visualizing image-processed data obtained in the image processing unit; a processed information storage unit storing, as processed information, data obtained in the image processing unit and visualization unit; and an output unit outputting data obtained in the image processing unit and the visualization unit.

Abstract: A virtualized network function management apparatus includes: an orchestration part; a virtualized network function management part; a storage part that holds priority hardware information in which a combination of physical resources, for an individual virtualized network function, as a deployment candidate of the virtualized network function is associated with information about a priority set to the combination of physical resources; and a virtualized infrastructure management part. The virtualized infrastructure management part reserves a combination of physical resources that satisfies resource and constraint information necessary for the virtualized network function in accordance with the priorities in the priority hardware information. Finally, the virtualized network function management apparatus creates a virtual machine by using the reserved combination of physical resources.

Abstract: In a machine learning variable data generating apparatus 1, a text data obtaining unit 11 obtains text data, a variable group classifying unit 12 classifies the text data into a plurality of variable groups, a variable scoring unit 13 scores the data of at least one of the plurality of variable groups by associating that data with the data of another group, and a variable data output unit 14 takes the data of the scored group as a response variable and the data of the other group associated with the scored group as an explaining variable, and outputs those data.

Abstract: The present invention is intended to provide a body motion grading system that allows the grading less likely to be affected by the difference among the builds of target persons subjected to grading. The present invention provides body motion grading system (1) including body position information acquisition unit (11) configured to acquire body position information of a target person subjected to grading in time series, body part recognition unit (12) configured to recognize a position of each part in the acquired body position information in time series and relatively recognize positions of body parts with reference to a certain body part, body motion grading unit (13) configured to conduct grading by comparing a position of a body part recognized by the body part recognition unit with a preliminarily prepared comparison condition in time series, and grading result display unit (14) configured to display a grading result.

Abstract: The health condition prediction apparatus 10 includes an estimation model learning unit 11 for learning a model indicating a relationship between lifestyle and a check value for a preset check item, using actual data regarding individuals' lifestyle and the check value as training data, a check value prediction unit 12 for acquiring actual data regarding lifestyle of a user and predicting a future check value of the user by using the acquired actual data and the model, and a display unit 13 for displaying, on a screen, the future check value predicted by the check value prediction unit 12.

Abstract: To measure the position of a walking user's toe tip, a measurement device includes: a data acquisition unit that acquires, from a depth sensor capturing an image of a walking path and outputting image data having a depth of each pixel added thereto, image data in which no user is on the path as reference data and image data in which a user is walking on the path as walking data; a specific pixel extraction unit that identifies a depth-sensor side foot based on the walking data and reference data and extracts, based on the depth, a pixel corresponding to a toe-tip among the pixels of the specified foot; and a position calculation unit that calculates three-dimensional coordinates of the extracted pixel based on the coordinates in the image data and the depth of the pixel, and takes the three-dimensional coordinates as the position of the user's toe tip.

Abstract: An information processing device (100) processes a data structure that represents a set of points included in a multidimensional space, and includes: a search unit (10) that, when a particular multidimensional region is specified as a query region, specifies regions that are expressed as portions shared between regions starting with feature value prefixes and regions starting with coordinate prefixes with respect to respective dimensions, and that are included in the query region, and outputs selected sections that are sections included in a data structure corresponding to the specified regions, the feature value prefixes being prefixes obtained from bit representations of feature values of the points, and the coordinate prefixes being prefixes obtained from bit representations of coordinates of the points with respect to a particular dimension; and an aggregation unit (20) that calculates information regarding a set of points included in the query region, by using the selected sections.

Abstract: The VR image display system 1 of the present invention includes: a storage unit 11 configured to store an attribute(s), body image information of each attribute, a body function information associated with the body image; a sensing unit 101 configured to sense motion of a user; a correction unit 122 configured to correct information on the sensed motion of the user on the basis of body function information of a selected attribute; a generation unit 123 configured to generate a virtual reality image from the body image information of the selected attribute on the basis of the corrected information on the sensed motion of the user; a control unit 124 configured to control motion of the generated virtual reality image on the basis of the corrected information on the sensed motion of the user; and a display unit 102 configured to display the controlled VR image.

Abstract: The present invention provides a new display system, display method, program, and recording medium that can easily learn the motion of a target over time. A display system 10 of the present invention includes: a storage unit 11 containing motion information of a target over time; an acquisition unit 121 that acquires predetermined n types of motions Xn and execution times TXn of the motions Xn in a time axis from the motion information of the target over time; a conversion unit 122 that converts the motion Xn into a corresponding marker xn; a note creation unit 123 that creates a note in which the marker xn is placed at the execution time TXn in the time axis; and a display unit 13 that displays the note.

Abstract: [Problem] To suppress increases in the size of a fully indexable dictionary while making it possible for a target bit stream to be subjected to two types of selection operation employing the fully indexable dictionary. [Solution] An information processing device (100) is provided with a storage unit (10) which stores a data structure (11) used to represent a bit stream formed using a first value and a second value. The data structure (11) includes: first data specifying the positions on the bit stream of all or some succession segments including a succession of one or more of the first value or the second value; second data specifying, for some of the succession segments, the number of first values that have appeared on the bit stream from the beginning of the bit stream as far as the succession segment; and third data specifying, for some of the succession segments, the number of second values that have appeared on the bit stream from the beginning of the bit stream as far as the succession segment.

Abstract: The present invention provides a novel nucleoside derivative or a salt thereof, a polynucleotide synthesis reagent, a method for producing a polynucleotide, a polynucleotide, and a method for producing a binding nucleic acid molecule. The nucleoside derivative or a salt thereof of the present invention is represented by the following chemical formula (1): where in the chemical formula (1), Su is an atomic group having a sugar skeleton at a nucleoside residue or an atomic group having a sugar phosphate skeleton at a nucleotide residue, and may or may not have a protecting group, L1 and L2 are each independently a straight-chain or branched, saturated or unsaturated hydrocarbon group having 2 to 10 carbon atoms, X1 and X2 are each independently an imino group (—NR1—), an ether group (—O—), or a thioether group (—S—), and the R1 is a hydrogen atom or a straight-chain or branched, saturated or unsaturated hydrocarbon group having 2 to 10 carbon atoms.

Abstract: A sleep improvement assistance system 600 of the present invention includes: an information providing unit 601 that uses an automatic discrimination model that automatically determines and outputs, when user information that is information regarding sleep of a target user is inputted, an output suitable for the target user from a predetermined output set in accordance with a phase of a sleep improvement program of the target user, to provide information to the target user; a result data storage unit 602 that stores result data including at least user information and information regarding executed information provision, for a past user who has finished a sleep improvement program; and a criterion correction unit 603 that compares, in using an automatic determination model, user information of the target user with user information included in the result data, and corrects a determination criterion for an output of the automatic discrimination model.

Abstract: A walking vibration analysis apparatus 10 includes a binarization processing unit 11 that acquires walking vibration data specifying walking vibration produced in association with walking, and converts the acquired walking vibration data into binary data representing a value of vibration over time from a start of walking with two values, being high level and low level, and an individual determination unit 12 that specifies an individual from which the walking vibration data was acquired, by collating the binary data obtained through conversion with individual specification data created, for each individual in advance, by converting the walking vibration data of the individual into binary data.

Abstract: An example embodiment includes a neural network unit to which a plurality of element values based on learning target data are input, and a learning unit that trains the neural network unit. The neural network unit has a plurality of learning cells each including a plurality of input nodes that perform predetermined weighting on each of the plurality of element values and an output node that sums the plurality of weighted element values and outputs the sum, and in accordance with an output value of each of the learning cells, the learning unit updates weighting coefficients of the plurality of input nodes of each of the learning cells or adds a new learning cell to the neural network unit.

Abstract: The present invention provides a novel nucleic acid molecule that can be used for detection of ?-amylase. The ?-amylase-binding nucleic acid molecule of the present invention is characterized in that it binds to ?-amylase with a dissociation constant of 17 nM or less, and preferably includes a polynucleotide consisting of any of base sequences of SEQ ID NOs: 1 to 22, for example. According to the nucleic acid molecule of the present invention, it is possible to detect ?-amylase in saliva.

Abstract: The present invention provides a new system that allows a safer operation of a moving object. The present invention provides a moving object operation system (1) including: a moving object (11); a plurality of operation signal transmitters (12A, 12B) for the moving object; and a synchronization unit (13). The moving object (11) includes: a signal receipt unit (111) that receives operation signals from the operation signal transmitters (12A, 12B). The operation signal transmitters (12A, 12B) include signal transmission units (121A, 121B) that transmit the operation signals to the moving object (11), respectively. The synchronization unit (13) is a unit that synchronizes the operation signal transmitters (12A, 12B).