NEC Solution Innovators, Ltd.

An action learning device includes an action candidate acquisition unit that extracts a plurality of possible action candidates based on situation information data representing an environment and a situation of a subject, a score acquisition unit that acquires a score that is an index representing an effect expected for a result caused by an action for each of the plurality of action candidates, an action selection unit that selects an action candidate having the largest score from the plurality of action candidates, and a score adjustment unit that adjusts a value of the score linked to the selected action candidate based on a result of the selected action candidate being performed on the environment.

A circuit device ( 10 ) includes a circuit construction unit ( 20 ) having logic circuit deployment areas ( 21 ) and ( 22 ) in which a logic circuit can be deployed, and a circuit controller ( 30 ) configured to deploy a designated logic circuit in a logic circuit deployment area, in which, if a logic circuit that is deployed in one of the logic circuit deployment areas is instructed to be rewritten to a new logic circuit, the circuit controller ( 30 ) deploys the new logic circuit in the other logic circuit deployment area, and, after deployment of the new logic circuit has ended, stops operation of the logic circuit that was initially deployed in the one of the logic circuit deployment areas.

Provided is a measurement device including a first acquisition unit that acquires depth information indicating a depth for each two-dimensional position, and a measurement unit that measures a walking state of a test subject by using the depth information.

A virtual reality image display system includes processor selects an attribute, senses motion of a user, generates a virtual reality image from body image information of the selected attribute, and controls motion of the generated virtual reality image based on information on the sensed motion of the user and displays the virtual reality image in accordance with the controlled motion.

The present invention provides a novel nucleic acid molecule that can be used for detection of a wheat allergen. The wheat allergen-binding nucleic acid according to the present invention is characterized in that it binds to a wheat allergen with a dissociation constant of 20 nM or less, and preferably includes a polynucleotide consisting of either of base sequences of SEQ ID NOs: 1 and 2, for example.

To automatically determine the invalidity of series data including the predicted value obtained based on assumed conditions. The index computation device 60 includes invalidity score output means 61 that outputs, when series data of a predetermined prediction target item is input, the series data including three or more pieces of data which indicate the value of the prediction target item in association with time, and at least one of which is data indicating a predicted value, an invalidity score that is an index indicating the invalidity of the series data and is based on an error between a curve model obtained by fitting the series data to a predetermined function form and the series data.

An information processing apparatus ( 2000 ) displays, on a display apparatus ( 60 ), a first display ( 30 ) that represents a partial image ( 14 ) where an object contained therein was not recognized as a product. The information processing apparatus ( 2000 ) receives input for selecting one or more first displays ( 30 ). The information processing apparatus ( 2000 ), upon receiving a predetermined input from a user, ends receiving selection of a first display ( 30 ). The information processing apparatus ( 2000 ) stores, in a storage apparatus ( 120 ), product identification information input to a product information input area ( 54 ) and feature information based on a partial image(s) ( 14 ) corresponding to a selected first display(s) in association with each other.

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.

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 . The identification criterion determination unit 41 includes a first image acquisition section 411 that acquires a first aerial image including a plurality of individual fruit trees in a deciduous period in a fruit farm field, a skeleton extraction section 412 that processes the first aerial image to extract a whole crown skeleton including the plurality of individual fruit trees, a vertex extraction unit 413 that extracts vertexes of each crown skeleton corresponding to each individual fruit tree, and an identification criterion extraction section 414 that extracts a crown candidate region of a minimum polygonal shape including all the vertexes as an identification criterion for each individual fruit tree and extracts a centroid of the crown candidate region. The crown identification unit 42 includes a second image acquisition section 421 that acquires a second aerial image of the fruit tree farm field at the time of identifying a crown at the same scale as the first aerial image, a whole crown extraction section 422 that processes the second aerial image to extract a whole crown image including the plurality of individual fruit trees, and a crown identification section 423 that collates the crown candidate region and the centroid of the identification criterion with the whole crown image to identify a crown region of each individual fruit tree in the second aerial image.

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.