Nec Corporation

Masami Sakaguchi

Shunsuke Akimoto

Shinji Oominato

Hajime Ishikawa

Kousuke Ishida

Shintaro Matsumoto

Shin Norieda

Shogo Akasaki

Yoshiyuki Tanaka

Haruki Yokota

Kosuke Ishida

An analysis apparatus comprises at least one memory storing instructions, and at least one processor configured to execute the instructions to comprises at least one memory storing instructions, and at least one processor configured to execute the instructions to acquire emotion data from an emotion data generation apparatus that generates emotion data from face image data of a meeting participant in an online meeting, generate analysis data for the meeting on the basis of the emotion data, acquire meeting data including attribute data of the meeting, store message data in which a pattern of a message to be presented to a user is associated with the meeting data, select the message on the basis of the analysis data and the message data, and store an analysis result including the selected message in a storage unit in an outputtable manner.

Analysis apparatus, analysis method, and non-transitory computer readable medium storing program

An analysis apparatus acquires individual emotion data for each participant generated on the basis of face image data of the participants in an online meeting during the meeting. The analysis apparatus generates, for each participant, analysis data indicating a degree of emotion in the online meeting on the basis of the individual emotion data. The analysis apparatus stores each piece of the analysis data for each participant in association with corresponding color tone information. The analysis apparatus generates, as a display image indicating a state of the online meeting, an image in which element figures represented by the color tone information associated with the analysis data are disposed for each of a plurality of the participants who have participated in the online meeting. The analysis apparatus outputs the generated display image.

Analysis apparatus, analysis system, analysis method, and non-transitory computer readable medium storing program

A field management apparatusis provided with a learning model generation unitthat generates a learning modelto learn feature amounts of the image of the phenomenon that results from the fault in the field equipment, an image acquisition unitthat acquires an aerial image of a target region, an image specification unitthat applies the aerial image to the learning modeland specifies an image of the phenomenon that results from the fault in the field equipment in the aerial image, and a fault location specification unitthat specifies a fault location of the field equipment in the target region, based on the image of the phenomenon that results from the fault in the field equipment.

Field management apparatus, field management method, and computer readable recording medium

A vegetation index calculation apparatus () is provided with a learning model generation unit () that generates a learning model, by using an image of a crop targeted for calculation of a vegetation index and an image of plants other than the crop to learn a feature amount of the image of the crop, an image acquisition unit () that acquires an aerial image of a target region where the crop is being grown, a specification unit () that applies the aerial image acquired by the image acquisition unit () to the learning model generated by the learning model generation unit (), and specifies the image of the crop in the aerial image acquired by the image acquisition unit (), and a vegetation index calculation unit () that calculates the vegetation index of the crop, using the image of the crop specified by the specification unit ().

Vegetation index calculation apparatus, vegetation index calculation method, and computer readable recording medium

A vegetation index calculation apparatus () is provided with a specification unit () that collates height distribution data indicating a distribution of the height of plants that exist in a target region with predicted height data of a crop targeted for calculation of a vegetation index, and specifies a region where the crop exists within the target region, and a vegetation index calculation unit () that calculates the vegetation index of the crop that exists in the region specified by the specification unit ().

Provided are a soil estimation device, a soil estimation method and a program that are capable of improving the accuracy of estimation of a state in soil without increasing the number of sensors that detect the state in the soil. The soil estimation deviceis provided with an estimated model generation unit. The estimated model generation unitgenerates an estimated model based on at least one among geographical information that specifies a geographical feature of a field of interest and soil distribution information that specifies a soil distribution in the field. The estimated model is a model for estimating, from a measured value that indicates the state in the soil at one location within the field, the state in the soil at a location other than the one location.

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Tokyo, Japan

Masami Sakaguchi