Abstract: The shelf tier management system S acquires size information of a shelf tier and size information of an accommodated item that has been accommodated in the shelf tier, obtains a occupancy rate of the accommodated item in the shelf tier on the basis of at least the size information of the shelf tier and the size information of the accommodated item, and calculates a corrected occupancy rate by correcting the occupancy rate with a correction coefficient according to the accommodated item.

Abstract: An information processing device 1 includes a calculation unit 13 that calculates a degree of overlapping between a probability distribution of each probability value included in a row i or a column i of a semantic similarity matrix, and a probability distribution of respective probability values included in a row j or a column j (j?i) of the waveform similarity matrix as a degree of unexpectedness between an i-th word and a j-th word using the semantic similarity matrix in which elements are probability values in one row or one column of a semantic similarity between words of a plurality of words and the waveform similarity matrix in which elements are probability values in one row or one column of a waveform similarity between time-series data of time-series data related to the words.

Abstract: A device includes: a data set including multiple sets in which two pieces of time-series data are respectively recorded; an analysis unit that obtains evaluation values representing a relationship between the two pieces by different analysis methods for each set; a combination extraction unit that extracts combinations of the sets having different trends in change in the evaluation values associated with the analysis methods; a grouping unit that classifies the analysis methods according to the evaluation values for each combination, and records results associated with the sets; an inquiry unit that presents the time-series data of each set to a user, and inquires which sets have similar time-series data; a scoring unit that adds a score of the analysis method belonging to the group having a better evaluation value for the set determined to be more similar; and a selection unit that repeats each process and selects an analysis method.

Abstract: An electrostatic separation method includes: applying voltage between a lower electrode at a bottom portion of or in the raw material layer and an upper electrode above the raw material layer, generating an electric field between electrodes; fluidizing the raw material layer and bringing conductive particles and the lower electrode into contact in the raw material layer charging only the conductive particles wherein their polarity becomes the same as the lower electrode; generating polarity, the same as the upper electrode, by dielectric polarization on a conveyor belt downward-facing conveyance surface passing through a capture region above the raw material layer and under the upper electrode, the conveyance surface including a nonconductor; separates charged conductive particles from the raw material layer surface by electrostatic force and adhering conductive particles to the conveyor belt conveyance surface; and separating and collecting the particles from the conveyance surface that moved outside the ele

Abstract: The learning system includes a data generation unit configured to generate learning data based on rehabilitation data and a learning unit configured to perform machine learning using the learning data. A sensor is provided to detect a plurality of motion amounts in a walking motion of a trainee, and it is evaluated that, when one of the motion amounts matches one of abnormal walking criteria, that the walking motion is an abnormal walking pattern that meets the matched abnormal walking criterion. The data generation unit generates each of the pieces of rehabilitation data before and after a change in the results of evaluation of the abnormal walking pattern as learning data. The learning unit sequentially inputs each of the pieces of rehabilitation data as one data set, thereby performing machine learning.

Abstract: A substrate processing apparatus includes a processing tank, a substrate holding section, a bubble supply section, and processing liquid supply sections. The substrate holding section immerses a substrate in a processing liquid stored in the processing tank. The bubble supply section supplies bubbles to the processing liquid from below the substrate. The processing tank includes a first side wall and a second side wall. The processing liquid supply sections include one or more first processing liquid supply sections and one or more second processing liquid supply sections. The one or more first processing liquid supply sections are disposed on a side of the first side wall and supply the processing liquid toward the bubbles. The one or more second processing liquid supply sections are disposed on a side of the second side wall and supply the processing liquid toward the bubbles.

Abstract: The learning apparatus includes a data generation unit configured to generate learning data based on rehabilitation data and a learning unit configured to perform machine learning using the learning data. A sensor is provided to detect a plurality of motion amounts in a walking motion of a trainee, and it is evaluated that, when one of the motion amounts matches one of abnormal walking criteria, that the walking motion is an abnormal walking pattern that meets the matched abnormal walking criterion. The data generation unit generates each of the pieces of rehabilitation data before and after a change in the results of evaluation of the abnormal walking pattern as learning data. The learning unit sequentially inputs each of the pieces of rehabilitation data as one data set, thereby performing machine learning.

Abstract: The server is a learning apparatus including a data acquisition unit and a learning unit. The data acquisition unit acquires profile data and a selected assistance level as learning data. The profile data indicates a profile related to a trainee before executing rehabilitation regarding rehabilitation executed using a walking training apparatus as a rehabilitation support system. The selected assistance level is an assistance level selected at the time of executing the rehabilitation. The learning unit learns to determine a recommended assistance level recommended to be selected when the trainee uses the rehabilitation support system based on the learning data. Further, the learning unit generates a trained model that receives the profile data and outputs the recommended assistance level based on the learning.

Abstract: A motion state monitoring system, a training support system, a motion state monitoring method, and a program capable of suitably managing measurement results according to an attaching direction of a sensor are provided. A motion state monitoring system according to the present disclosure monitors a motion state of a target part of a subject's body. The motion state monitoring system includes an acquisition unit, an attaching direction detection unit, and a control processing unit. The acquisition unit acquires sensing information of a sensor attached to the target part. The attaching direction detection unit detects an attaching direction of the sensor. The control processing unit outputs information related to the sensing information in association with the attaching direction.

Abstract: A health management support system includes: a first acquisition unit configured to acquire information about each of members of a specific group to which a user belongs, including his/her health condition; a second acquisition unit configured to acquire information about a food purchased by the user; an inference unit configured to infer, when an abnormality is detected in a health condition of any one of a plurality of members belonging to the specific group, as to which food has caused the abnormality in the health condition of the member from a history of foods purchased by the user; and a notification unit configured to notify the user that the food inferred by the inference unit may have caused the abnormality in the health condition of the member.

Abstract: A health management support system includes: an acquisition unit configured to acquire information about a current state of a user, information about a target health condition of the user after a lapse of a set period, and information about a budget of the user; a plan calculation unit configured to calculate at least one plan for a behavioral item that the user should perform during the set period based on the information about the current state of the user, the target health condition of the user after the lapse of the set period, and the budget; and an output unit configured to output the at least one plan calculated by the plan calculation unit.

Abstract: A health support system includes a group generation unit configured to generate, based on payment data, a group including a plurality of the users as members; a data detection unit configured to detect a change in a value of a predetermined data item in the physical data of the members; a purchase history extraction unit configured to extract purchase history of a product or a service that changes the value of the predetermined data item from the payment data of the member regarding whom the change in the value of the predetermined data item has been detected; a recommendation information generation unit configured to generate recommendation information for recommending the products or services specified by the extracted purchase history; and a notification unit configured to notify the other members of the group of the generated recommendation information.

Abstract: A health management support system includes: a first acquisition unit configured to acquire information about a user, including a health condition of the user; a second acquisition unit configured to acquire information about at least one purchase-candidate food; an estimation unit configured to estimate an effect on the health condition of the user that is caused when the user ingests the at least one purchase-candidate food; a calculation unit configured to calculate a cost that is incurred to alleviate the effect on the health condition of the user estimated by the estimation unit; and an output unit configured to output the effect on the health condition of the user estimated by the estimation unit and the cost calculated by the calculation unit.

Abstract: An upward laminar flow of a treatment fluid is formed inside a treatment chamber. Substrates are immersed in the treatment fluid. Eight bubble supply pipes are disposed inside the treatment chamber, and supply bubbles in the treatment fluid from below the substrates. Two innermost bubble supply pipes out of the eight bubble supply pipes are disposed inside a recess of a punching plate so that the two bubble supply pipes are lower than the other bubble supply pipes. Even when a lifter lowers the substrates to an immersion position, an extremity of a back plate is prevented from hitting the two bubble supply pipes. Furthermore, the eight bubble supply pipes including the two innermost bubble supply pipes can uniformly supply bubbles to the surface of the substrates.

Abstract: Appropriate housing equipment according to the physical ability of a trainee who has performed rehabilitation in order to restore or maintain the physical ability is easily presented. A housing equipment presentation apparatus includes a storage unit configured to store definition information defining housing equipment information according to a physical ability, an acquisition unit configured to externally acquire physical ability information of a trainee who has performed training in order to restore or maintain his/her physical ability, a conversion unit configured to convert the acquired physical ability information into the housing equipment information based on the definition information, and an output unit configured to output presentation information including the converted housing equipment information.

Abstract: A state estimation program is for causing a computer to function to determine a state of training in a rehabilitation support system used by a trainee to perform training of a preset motion and includes a threshold setting step and a state estimation step. The threshold setting step is for acquiring a sensor output, the sensor output being an output of a sensor included in the rehabilitation support system in the training performed by the trainee and setting a threshold for determining one of a normal state and an abnormal state of the training based on the sensor output. The state estimation step is for estimating whether the training is performed in the normal state or the abnormal state based on the threshold.

Abstract: A workpiece inspection device 1 includes a table (3), image capturing unit fixing part (7), first light projection unit (4), second light projection unit (5), linear movement mechanism (8), turning mechanism (9), quality determination unit (10), and control unit (11). The control unit (11) performs first image capturing step of causing first light projection unit (4) to project light and causing image capturing unit (6) to capture image, detailed inspection portion-determination step of setting, portion of workpiece (2) determined to require detailed inspection based on image captured in the first image capturing step, second image capturing step of causing second light projection unit (5) to project light onto the workpiece (2) and causing image capturing unit (6) to capture image of the detailed inspection-requiring portion, and quality determination step of determining quality of the detailed inspection-requiring portion based on image captured in the second image capturing step.

Abstract: A power distribution system 100 is installed in an aircraft, and comprises: a first DC power supply unit 10 including a generator 11; a second DC power source unit 20 including a battery 30, a step-up/down converter 41, a voltage sensor 43, and control unit 44; and a diode 50. When the voltage sensor 43 does not detect regenerative power, the control unit 44 executes a running power processing mode in which generated power generated by the first DC power supply unit 10 is supplied to an electric actuator 80 while charging and discharging the battery 30 using the step-up/down converter 41 so as to keep a charge rate A of the battery 30 within a predetermined range. When the voltage sensor 43 detects regenerative power, the control unit 44 executes a regenerative power processing mode in which the battery 30 is charged with the regenerative power using the step-up/down converter 41.

Abstract: An appropriate property according to the physical ability of a trainee who has performed rehabilitation in order to restore or maintain his/her physical ability can be easily retrieved. A property search apparatus includes a reception unit configured to receive a property search request for a trainee who has performed training to restore or maintain his/her physical ability, an acquisition unit configured to acquire physical ability information of the trainee, a specification unit configured to specify, for each of a plurality of property candidates corresponding to the property search request, a location condition corresponding to the physical ability information by using a barrier-free map information, and an output unit configured to output a search result of the property candidates according to the specified location condition.

Abstract: A vibration power generation device that further improves power generation efficiency includes a vibration exciting body in which vibration is caused by a flowing fluid, a vibrated body that is oscillatable and connected to the vibration exciting body, and a power generator to generate electricity by oscillation of the vibrated body. The vibration exciting body is in proximity to a wall surface, and vibration is caused in the vibration exciting body by a fluid flowing along the wall surface.