Omron Corporation

Mitsubishi Electric Corporation

Kyoto University

Yahoo Japan Corporation

Tokyo Rpg Factory Co., Ltd.

Atsushi Hashimoto

Takeshi Yamamoto

Xiangyu Zeng

Yoshitaka Ushiku

Hiroyuki Takeuchi

Junji Takaki

Ikuo Kitagishi

Hiroyuki Miyaura

Shinichi Hosomi

Ryo Yonetani

Sho Sasaki

Yasuyo Kotake

Takanori Hirohashi

Yuki Taguchi

Yamato Okamoto

Yuta Kamikawa

Motoharu Sonogashira

Masaaki Iiyama

Zeng Xiangyu

A model generation apparatus according to one or more embodiments executes operations, with respect to each of learning data sets. The operations includes training a second estimator so that an estimation result obtained from a second estimator conforms to second correct answer data; training a coder so that an estimation result obtained from the second estimator does not conform to the second correct answer data; and training the coder and the first estimator so that an estimation result obtained from a first estimator conforms to first correct answer data. The model generation apparatus executes operation of the training the second estimator and the training the coder alternately and repeatedly.

Model generation apparatus, estimation apparatus, model generation method, and computer-readable storage medium storing a model generation program including training a model by converting training data to deliberately reduce estimation performance for improved defect detection and feature identification

A cultivation and management device for fruit vegetable plants and fruit trees includes environment state information on an environment state of a fruit vegetable plant or a fruit tree to be cultivated, planned cultivation evaluation index information on a preplanned cultivation evaluation index of the fruit vegetable plant or the fruit tree, a calculation unit configured to determine and output a work including a shape change work for the fruit vegetable plant or the fruit tree with respect to inputs of the environment state information and the planned cultivation evaluation index information with a learning model, and an output unit configured to output the work including the shape change work for the fruit vegetable plant or the fruit tree.

Management device for cultivation of fruit vegetable plants and fruit trees, learning device, management method for cultivation of fruit vegetable plants and fruit trees, learning model generation method, management program for cultivation of fruit vegetable plants and fruit trees, and learning model generation program

An information processing apparatus calculates an accurate index for the growth state of a plant without increasing a user load. The apparatus includes a receiver that receives an input of a captured image obtained by capturing an image of a plant cultivation area including a rectangular area in a longitudinal direction of the rectangular area, a conversion factor calculator that calculates conversion factors at positions in a depth direction in the captured image by determining a pixel count in a width direction of the rectangular area in the captured image input into the receiver at each position in the depth direction and dividing an actual width of the rectangular area by the determined pixel count, and an index calculator that calculates an index for a growth state of the plant by analyzing the captured image using the conversion factors at the positions calculated by the conversion factor calculator.

Information processing device and index value calculation method

An analysis apparatus according to one or more embodiments may identify the classes of features included in object data using a plurality of discriminators that are respectively configured to discriminate the presence of features of classes different to each other; and determines that a first data portion, with respect to which discrimination is established by one of the plurality of discriminators, but discrimination is not established by the remaining discriminators, includes a feature of the particular class that is discriminated by the one discriminator, and determines that a second data portion, with respect to which discrimination is established by all of the discriminators including the one discriminator, does not include a feature of that particular class.

Analysis apparatus, analysis method, and computer-readable storage medium storing an analysis program

An information processing apparatus calculates an index for a plant growth state with a neural network using fewer images to achieve training of the neural network. The apparatus includes first to N-th image analyzers (N≥2) each analyzing a cultivation area image of a plant cultivation area with a neural network to calculate a state index indicating a growth state of the plant in the cultivation area and including the neural network trained using cultivation area images each having a predetermined growth index classified into a corresponding class of first to N-th growth index classes, and a selector receiving an input of a cultivation area image for which the state index is calculated and causing one of the first to N-th image analyzers trained using cultivation area images classified into the same growth index class as the input cultivation area image to analyze the input cultivation area image.

Information processing device

A model generation apparatus according to one aspect of the present invention acquires a plurality of learning datasets each constituted by a first sample of a first time of predetermined data obtained in time series and feature information included in a second sample of the predetermined data of a future second time relative to the first time, and trains a prediction model, by machine learning, to predict feature information of the second time from the first sample of the first time, for each learning dataset. In the model generation apparatus, a rarity degree for is set each learning dataset, and, in the machine learning, the model generation apparatus trains more preponderantly on learning datasets having a higher rarity degree.

Model generating apparatus, method and program, and prediction apparatus

An estimator generation apparatus may include a first estimator and a second estimator sharing a common encoder. The first estimator may be trained to determine a target person's state from face image data. The second estimator may be trained to reconstruct physiological data from face image data. The machine learning may allow the common encoder to have its parameters converging toward higher-accuracy local solutions for estimating the target person's state, thus generating the estimator that may estimate the target person's state more accurately.

Estimator generation apparatus, monitoring apparatus, estimator generation method, and computer-readable storage medium storing estimator generation program

An information processing apparatus according to the present application includes an acquiring unit and a deciding unit. The acquiring unit acquires attribute information on a user. The deciding unit decides, based on the attribute information acquired by the acquiring unit, a placement position in which a virtual riding point that corresponds to a riding point that is used for the user to ride in a moving vehicle and that is virtually set is placed.

Routing a mobile vehicle based on rider characteristics

A non-transitory computer-readable medium including a video game processing program product for causing a user terminal to realize functions to control progress of a video game in response to an operation of a user is provided. The functions include: a time measuring function configured to measure an elapsed time for a character on the basis of the elapsed time, the character starting an action; a first updating function configured to update information regarding a gauge, the gauge representing the elapsed time measured by the time measuring function; a second updating function configured to update information regarding a gauge, the gauge representing a value to be increased in a case where a predetermined condition is satisfied, the predetermined condition including a condition that at least the first gauge is in a predetermined state; and a displaying function configured to display a game screen on a display screen of a display device.

Video game processing program, video game processing system and video game processing method

In a lower-side-columnar-conductor installing process, a first columnar sub-conductor (), a second columnar sub-conductor (), and a first main columnar conductor () are set up individually, and the first main columnar conductor () is disposed between the first columnar sub-conductor () and the second columnar sub-conductor (). In a U-shaped-conductor fastening process, the upper-side end portion of the first columnar sub-conductor () is arranged facing one end of a U-shaped conductor () bent in a U-shape, the upper-side end portion of the second columnar sub-conductor () is arranged facing the other end of the U-shaped conductor (), and the center portion of the U-shaped conductor () is fastened to the tip portion of a second main columnar conductor ().

Growing community of inventors

Tokyo, Japan

Atsushi Hashimoto