Abstract: An indicator related to work performed through a plurality of hierarchical processes is predicted efficiently with high accuracy. The information processing device stores sample data in association with each parameter representing work, the sample data including an indicator generated by execution of lower-level simulation based on a lower-level model set for a lower-level process, and the information processing device predicts an indicator related to predicted work by performing higher-level simulation using the sample data associated with a parameter similar to a parameter representing the predicted work, the higher-level simulation being based on a higher-level model which is set for a higher-level process. If sample data associated with a parameter similar to the parameter representing the predicted work is not stored, the information processing device complements sample data by performing lower-level simulation and performs higher-level simulation using the complemented sample data.

Abstract: An analysis system includes a storage unit and a processing unit. The processing unit quantifies the brain state on the basis of occurrence frequencies of the duration included in a plurality of regions each of which has a predefined range within which the duration falls. The calculated brain index is calculated by the processing unit using coefficients.

Abstract: An article management support apparatus sets coordinates indicating a position of an observation point and an observation direction from the observation point in a space including article storage spaces, acquires coordinates of an article picking opening of an article storage space within a predetermined range with respect to the position of the observation point and the observation direction, acquires information on the article stored in the article storage space corresponding to the article picking opening for which the coordinates are acquired, transforms the acquired coordinates of the article picking opening into coordinates on an image seen in the observation direction from the position of the observation point, generates an image for displaying the information on the article stored in the article storage space corresponding to the article picking opening for which the coordinates are acquired in association with a position of the transformed coordinates, and displays the generated image.

Abstract: An analysis system analyzes a state of a person and includes a terminal configured to be worn on the person's body. The terminal includes an acceleration sensor, a storage unit, and a processing unit. The processing unit determines whether each value contained in the time series data is in a first state in which the value is equal to or greater than the threshold or in a second state in which the value is less than the threshold. The processing unit also determines a duration which is a period of time during which the first state continues. The processing unit quantifies a brain state of the person on the basis of the duration.

Abstract: A logistics prediction system includes an arithmetic device that executes a predetermined process, a storage device connected to the arithmetic device, a shipment information input section to which past shipment information is input, a constraint input section to which a calculation resource and a calculation time period are input as constraints for prediction, an integration prediction database holding shipment trends of products, a prediction method selector that selects a prediction method to be used to predict a shipment volume for each of the products from among multiple prediction methods so that the constraints input to the constraint input section are satisfied, multiple prediction method sections that predict shipment volumes using the prediction methods, an integrator that integrates the results of the prediction by the prediction method sections for each of the products, and a shipment prediction output section that outputs the result of the integration by the integrator.

Abstract: A forklift which carries a cargo is includes a machine learning apparatus which executes a procedure of: accepting input of learning data of a first category group and evaluation data of a second category group; extracting the learning data of at least one category from the first category group and calculating parameters of the estimation models for controlling the forklift by using the extracted learning data; extracting the evaluation data of at least one category from the second category group and evaluating the estimation models, for which the parameters are calculated, by using the extracted evaluation data; and outputting an estimation model M whose data evaluation result is equal to or larger than a specified threshold value, from among the estimation models for which the parameters are calculated, and a category of the evaluation data used for the evaluation of the estimation model M.

Abstract: An article management support apparatus sets coordinates indicating a position of an observation point and an observation direction from the observation point in a space including article storage spaces, acquires coordinates of an article picking opening of an article storage space within a predetermined range with respect to the position of the observation point and the observation direction, acquires information on the article stored in the article storage space corresponding to the article picking opening for which the coordinates are acquired, transforms the acquired coordinates of the article picking opening into coordinates on an image seen in the observation direction from the position of the observation point, generates an image for displaying the information on the article stored in the article storage space corresponding to the article picking opening for which the coordinates are acquired in association with a position of the transformed coordinates, and displays the generated image.

Abstract: In a prediction system, a first prediction section predicts a numerical value in a second period including a future period based on input data including numerical data at least in a first period in the past. A second prediction section acquires the input data used by the first prediction section, a numerical value in the second period predicted by the first prediction section, and change information indicative of chancre of the input data, predicts at least part of numerical values in the second period by performing a prediction process whose calculation amount is small based on at least part of changed input data based on the change information, and outputs results of the predictions by the first prediction section and second prediction section. Where the change of the input data is effective, the first prediction section predicts numerical values in the second period based on the changed input data.

Abstract: A logistics prediction system includes an arithmetic device that executes a predetermined process, a storage device connected to the arithmetic device, a shipment information input section to which past shipment information is input, a constraint input section to which a calculation resource and a calculation time period are input as constraints for prediction, an integration prediction database holding shipment trends of products, a prediction method selector that selects a prediction method to be used to predict a shipment volume for each of the products from among multiple prediction methods so that the constraints input to the constraint input section are satisfied, multiple prediction method sections that predict shipment volumes using the prediction methods, an integrator that integrates the results of the prediction by the prediction method sections for each of the products, and a shipment prediction output section that outputs the result of the integration by the integrator.

Abstract: An inventory management apparatus including a processor and a memory. The processor stores shipping record data that stores the actual results of the shipment amount of the article, possible variation factor data in which variation factors affecting the shipment amount are set in advance, and a user forecasting model from the selected variation factor and shipment record data. The processor selects a variation factor from the possible variation factor data and generates a recommended forecasting model from the user forecasting model and the shipment result data. The processor calculates the forecasted value of the shipping amount of the articles from the user forecasting model as the first forecasted value and calculates the forecasted value of the shipping amount of the articles from the recommended forecasting model as the second forecasted value, and calculates the degree of effect on the first and second forecasted shipping amount for each variation factors.

Abstract: To arrange an entire peripheral image in the virtual three-dimensional space in an easy-to-grasp manner, it is provided an image generation device, which is configured to generate an image to be displayed on a display device, the image generation device comprising: a processor configured to execute a program; and a memory configured to store the program, wherein the processor is configured to: arrange a three-dimensional model of an object existing in a real space in a virtual three-dimensional space; arrange at least one tube-shaped virtual screen including a predetermined photographing position in the virtual three-dimensional space; execute arithmetic processing of mapping an entire peripheral image captured at the predetermined photographing position to the at least one tube-shaped virtual screen; and generate image data for displaying, in a panoramic view, the virtual three-dimensional space in which the three-dimensional model and the at least one tube-shaped virtual screen are arranged.

Abstract: A verification assistance system comprises: a first computation unit which, based on the name of a concept defined by an arbitrary word, searches a database to extract a plurality of behavior history data linked with the concept; a second computation unit which calculates the number of data items that are common among the plurality of extracted behavior history data to calculate the ratio by which a certain concept is linked with another concept; and a third computation unit which, based on the ratio, determines whether the certain concept and the other concept have an abstract relationship of any of upper/lower, identical, and no-relation.

Abstract: An analysis system analyzes a state of a person and includes a terminal configured to be worn on the person's body. The terminal includes an acceleration sensor, a storage unit, and a processing unit. The processing unit determines whether each value contained in the time series data is in a first state in which the value is equal to or greater than the threshold or in a second state in which the value is less than the threshold. The processing unit also determines a duration which is a period of time during which the first state continues. The processing unit quantifies a brain state of the person on the basis of the duration.

Abstract: The present invention aims at providing a technique of helping to quantitatively evaluate a purchasing preference of customers, and design the purchasing preference high in the degree of matching with an actual merchandise purchasing history. The customer analysis system according to the present invention calculates the degree of matching indicative of how much a purchasing preference type of the customer matches a merchandise group in a correspondence relationship on the basis of a merchandise purchasing history of the customer, and evaluates the purchasing preference type on the basis of the calculation result (refer to FIG. 3).

Abstract: The present invention aims to extract change factors that raise and lower evaluation with respect to a product based on a purchase history of an individual. A preference analyzing system according to the present invention learns, from a purchase history, a preference model that evaluates purchase preference of an individual, calculates correlation between a feature quantity representing an attribute of a product and a mixed attribute that can raise and lower evaluation of the product, and extracts other product attributes that change the mixed attribute (see FIG. 6).

Abstract: An information processing system includes a sensor node and a server. The sensor node obtains acceleration data and transmits the data to the server. The server obtains and records the number of zero crossings from the acceleration data. The server obtains and records the frequency distribution of the number of zero crossings. The server obtains one or more of the following: the slope of the approximate line of the distribution; the linearity of the distribution; the inflection point; the slope of the approximate line in the zero crossing range below the inflection point; the slope of the approximate line in the zero crossing range above the inflection point; the linearity of the distribution in the zero crossing range below the inflection point; and the linearity of the distribution in the zero crossing range above the inflection point. Then, the server records the obtained value.

Abstract: An information processing system including plural terminals, a base station to communicate with the terminals, and a management server coupled via a network to the base station, in which each terminal includes a behavioral information sensor to acquire behavioral information on the person wearing the terminal, and the management server retains the predefined relations among the persons within the organization, receives and retains the behavioral information from each terminal, calculates the behavioral characteristic quantity showing behavioral characteristics of each person relative to other persons based on the behavioral information, sums the calculated behavioral characteristic quantities for each of the defined relations between the person and the other persons, and when information showing changes in the still non-implemented defined relations is acquired, estimates the behavioral characteristic quantity of the person after changing the defined relation according to the acquired information, based on th

Abstract: A fare refund system includes a standard movement pattern generation unit that collects a movement log of a passenger utilizing a transport facility and generates a standard movement pattern of the passenger based on a normal-time movement log of the transport facility in the collected movement log; a transport failure information acquisition unit that acquires information about a failure influenced area and time band associated with a transport failure; an influence presence/absence determination unit that determines the presence or absence of an influenced movement log in the collected movement log; a loss degree calculation unit that calculates the degree of loss for the passenger based on a difference between the standard movement pattern and the influenced movement log when it is determined by the influence presence/absence determination unit that there is the influenced movement log; and a refund unit that pays a refund fare corresponding to the calculated loss degree.

Abstract: Provided is an organization evaluation device, including: a reception unit for receiving data indicating a physical quantity detected by a sensor of a terminal worn by each of a plurality of persons; a personal index calculation module for calculating, from at least one of the data indicating the physical quantity and a business index of each of the plurality of persons, a personal index of each of the plurality of persons; a weight coefficient calculation module for calculating a weight coefficient indicating a degree of involvement of each of the plurality of persons in the first organization from the data indicating the physical quantity; and an organization index calculation module for calculating, by obtaining a weighted average of a plurality of the personal indices using the weight coefficient, an organization index of the first organization.

Abstract: It is provided a communication support device, which analyzes communications among a plurality of persons who belong to an organization, comprising a recording module for storing data that indicates the communications among the plurality of persons, a network constructing module for constructing a network structure of the plurality of persons from the data that indicates the communications, a improvement candidate determining module for identifying a first person whose communication is to be improved from the data that indicates the communications, and a connection candidate determining module for identifying a second person and a third person who can help increase triangle structures around the identified first person in the network structure, based on the network structure. The communication support device outputs display data for prompting the second person and the third person to communicate with each other.