Abstract: A distributed processing management apparatus 10 is connected to a plurality of execution servers 20 so as to be able to communicate with the execution servers 20. The distributed processing management apparatus 10 is provided with a conversion instruction unit 11 configured to specify, for each execution server 20, a data format usable by a machine learning engine executed by the execution server 20, and issue an instruction to convert a data format of data held by the execution server 20 to the specified data format.

Abstract: A distribution system 100 includes a data management apparatus 10 and a plurality of calculators 20 that execute machine learning. The data management apparatus 10 includes a data acquisition unit 11 that acquires information regarding training data held in a memory 21 of each of the calculators 20, from the calculators 20, and a data rearrangement unit 12 that determines training data that is to be held in the memory 21 of each of the calculators 20, based on characteristics of the machine learning processes that are executed by the calculators 20, and the information acquired from the calculators.

Abstract: A table acquiring means 381 acquires a first table including prediction objects and first attributes, and a second table including second attributes. A receiving means 382 receives a similarity function and condition for similarity used to calculate the similarity between the first attribute and the second attribute. A feature generating means 383 generates feature candidates able to affect a prediction object using a combination condition for combining a record in the first table including the value of a first attribute satisfying the condition with a record in the second table including the value of a second attribute satisfying the similarity calculated with the value of the first attribute and the value of the second attribute using the similarity function, and using a reduction method for a plurality of records in the second table and a reduction condition represented by the column to be aggregated. A feature selecting means 384 selects an optimum feature for the prediction from the feature candidates.

Abstract: A computational resource management apparatus is for managing a cluster system that executes a plurality of tasks. The computational resource management apparatus includes a condition specification unit that specifies a relationship between computational resources of the cluster system and computation time, a dependency relationship between tasks, and an execution time limit of each task, and a scheduling unit that determines, for each task, an execution sequence and computational resources to be allocated from among the computational resources of the cluster system, based on the relationship between the computational resources and computation time and the dependency relationship that are specified, such that the execution time limit is met.

Abstract: A seat of a work vehicle includes a seatback, a seat cushion and an air handling system incorporated within the seatback. The air handling system includes an air circulation space formed inside the seatback, an air handling device disposed in the air circulation space, an inlet portion formed in a top face of the seatback for letting in ambient air into the air circulation space and an outlet portion formed in a lateral portion of the seatback for discharging handled air handled by the air handling device to an area forwardly of the seatback in a vehicle body transverse direction.

Abstract: A computational resource management apparatus is for managing a cluster system that executes a plurality of tasks. The computational resource management apparatus includes a condition specification unit that specifies a relationship between computational resources of the cluster system and computation time, a dependency relationship between tasks, and an execution time limit of each task, and a scheduling unit that determines, for each task, an execution sequence and computational resources to be allocated from among the computational resources of the cluster system, based on the relationship between the computational resources and computation time and the dependency relationship that are specified, such that the execution time limit is met.

Abstract: A mower unit provided in a grass mower unit includes a mower deck having a top plate and a side plate extending downwards from the top plate, a rotational shaft extending through the top plate and rotatably supported to the top plate, and a blade attached to the rotational shaft inside the mower deck. A vibration detection unit is attached to the mower deck for detecting vibration in the mower deck. Vibration detected by the vibration detection unit is informed via an informing unit.

Abstract: A computational resource management device uses a measured value of an execution time of data processing, a measured value of a resource amount, and a feature of input data as training data to learn a model indicating a relationship between the execution time and the resource. The device inputs, into the model, a feature of data scheduled to be input to calculate an estimated value of the execution time of the scheduled data processing, and uses the estimated value of the execution time, a variation index indicating variation in the estimated value of the execution time, and distribution of estimated residuals to calculate a resource amount required in the scheduled data processing. The device creates an execution plan of the scheduled data processing, based on the estimated value of the execution time, the variation index, the distribution of estimated residuals, and the calculated resource amount.

Abstract: A work vehicle includes a vehicle body frame supported on a ground surface via a wheel unit and a pair of left and right fenders that can be reversed from a normal posture to a reversed posture via a reversal mechanism, an inside area covered by the fender under its normal posture becoming exposed in the reversed posture of the fender. The fender is maintained under the normal posture and the reversed posture. A first accommodating profile is formed in the surface of the fender, the first accommodating profile being capable of accommodating an article when the fender assumes the normal posture.

Abstract: A work vehicle includes a vehicle body frame supported on a ground surface via a wheel unit and a pair of left and right fenders that can be reversed from a normal posture to a reversed posture via a reversal mechanism, an inside area covered by the fender under its normal posture becoming exposed in the reversed posture of the fender. The fender is maintained under the normal posture and the reversed posture. A first accommodating profile is formed in the surface of the fender, the first accommodating profile being capable of accommodating an article when the fender assumes the normal posture.

Abstract: A table acquiring means 181 acquires a first table including prediction targets and first geographic attributes, and a second table including second geographic attributes. A receiving means 182 receives geographic relationships and degrees of geographic relationships. A combination condition generating means 183 generates a combination condition for combining a record included in the first table with a record included in the second table so that the relationship between the value of a first geographic attribute and the value of a second geographic attribute satisfies the degree of geographic relationship.

Abstract: A distributed processing management apparatus 10 is connected to a plurality of execution servers 20 so as to be able to communicate with the execution servers 20. The distributed processing management apparatus 10 is provided with a conversion instruction unit 11 configured to specify, for each execution server 20, a data format usable by a machine learning engine executed by the execution server 20, and issue an instruction to convert a data format of data held by the execution server 20 to the specified data format.

Abstract: A table acquiring means 381 acquires a first table including prediction objects and first attributes, and a second table including second attributes. A receiving means 382 receives a similarity function and condition for similarity used to calculate the similarity between the first attribute and the second attribute. A feature generating means 383 generates feature candidates able to affect a prediction object using a combination condition for combining a record in the first table including the value of a first attribute satisfying the condition with a record in the second table including the value of a second attribute satisfying the similarity calculated with the value of the first attribute and the value of the second attribute using the similarity function, and using a reduction method for a plurality of records in the second table and a reduction condition represented by the column to be aggregated. A feature selecting means 384 selects an optimum feature for the prediction from the feature candidates.

Abstract: A mower unit provided in a grass mower unit includes a mower deck having a top plate and a side plate extending downwards from the top plate, a rotational shaft extending through the top plate and rotatably supported to the top plate, and a blade attached to the rotational shaft inside the mower deck. A vibration detection unit is attached to the mower deck for detecting vibration in the mower deck. Vibration detected by the vibration detection unit is informed via an informing unit.

Abstract: A seat of a work vehicle includes a seatback, a seat cushion and an air handling system incorporated within the seatback. The air handling system includes an air circulation space formed inside the seatback, an air handling device disposed in the air circulation space, an inlet portion formed in a top face of the seatback for letting in ambient air into the air circulation space and an outlet portion formed in a lateral portion of the seatback for discharging handled air handled by the air handling device to an area forwardly of the seatback in a vehicle body transverse direction.

Abstract: A distribution system 100 includes a data management apparatus 10 and a plurality of calculators 20 that execute machine learning. The data management apparatus 10 includes a data acquisition unit 11 that acquires information regarding training data held in a memory 21 of each of the calculators 20, from the calculators 20, and a data rearrangement unit 12 that determines training data that is to be held in the memory 21 of each of the calculators 20, based on characteristics of the machine learning processes that are executed by the calculators 20, and the information acquired from the calculators.

Abstract: A feature design unit 81 designs, from relational data, a feature as a variable likely to affect an objective variable. A feature generating unit 82 generates the designed feature, from the relational data. A learning unit 83 learns a prediction model, on the basis of the generated feature.

Abstract: A mower may include a body frame, a mower unit installed to the body frame, a grass collection container optionally installed at a rear portion of the body frame, a front-wheel support arm provided at a front portion of the body frame, a left front wheel and a right front wheel supported by the front-wheel support arm, a counterweight, and a weight bracket. The weight bracket may be provided on the front-wheel support arm and configured to attach the counterweight thereto. The counterweight may include a plurality of weight elements. The weight bracket may include a plurality of attachment portions. The at least one weight element may be attached to each attachment portion.

Abstract: A grass collecting assembly for a grass mower includes a bag holder provide in a strut unit supported to a vehicle body, a grass collecting bag attached to the bag holder, and a guide cover. The grass collecting bag has a bottom wall and a circumferential wall. An upper end of the circumferential wall forms an upper opening portion. The bottom wall is switchable between a discharging posture for downwardly discharging cut grass pieces accumulated in the grass collecting bag and an accumulating posture for accumulating cut grass pieces in the grass collecting bag. The guide cover guides cut grass pieces conveyed through a duct to the upper opening portion.

Abstract: In a planetary gear device including: a sun gear; a plurality of planet gears; a ring gear; and a tubular support member connected to the ring gear so as to rotate together with the ring gear; an outward flange provided at the ring gear and projecting radially outward and extend over an entire periphery thereof; an wavy inward flange provided at the tubular support member and having a plurality of projection pieces projecting radially inward over an entire periphery thereof, the outward flange and the inward flange are fastened to each other by means of bolts and nuts, and the inward flange has a plurality of recesses formed between the plurality of projection pieces and the plurality of recesses include shallow first recesses and second recesses deeper than the first recesses such that depth of the recesses becomes greater at regular intervals.