Abstract: A measurement apparatus includes: a measurement data acquisition unit configured to acquire measurement data of a target; and a processing unit configured to process the measurement data. The processing unit estimates a skeleton of a living body that is the target based on the measurement data, estimates a measurement condition related to the measurement data using an estimation result of the skeleton, obtains a similarity between the measurement condition and an assumed condition assumed in advance, and selects measurement data related to evaluation of a state of the target based on the similarity. With the configuration and operations,, it is possible to efficiently collect data related to evaluation of a state of a target while considering a restriction of a location where measurement data is acquired, without collecting a large amount of data.

Abstract: An effective scenario is generated for a target person of a scenario. A scenario generation system receives designation of a target person class. The system changes an order of two or more scenario element instances according to the designated target person class in a base scenario in which a plurality of scenario element instances are arranged to an order according to the designated target person class, and generates a proposed scenario including the two or more scenario element instances whose order is changed. The system provides the generated proposed scenario.

Abstract: A knowledge graph access control system includes an arithmetic device and a storage device. The storage device stores obfuscation structure information that defines an inclusion relationship between elements with different degrees of obfuscation in a knowledge graph, and access control information for managing user's access rights to each element included in the obfuscation structure information. The arithmetic device is configured to acquire an obfuscation target knowledge graph, generate an obfuscation knowledge graph by obfuscating the target knowledge graph for a first user with reference to the obfuscation structure information and the access control information, and in the obfuscation of the target knowledge graph, convert an original element included in the target knowledge graph to an obfuscation element to which the first user has access rights in the access control information, and which includes the original element in the obfuscation structure information.

Abstract: A motion visualization system 1 includes a skeleton recognition program 2 obtaining joint coordinates of a target person, a pitch extraction program 6 extracting a walk cycle of the target person based on the joint coordinates, and a storage unit 106 storing a skeleton normalization program 3 transforming coordinates of the joint coordinates in a reference coordinate system where a direction in which a predetermined portion of the target person moves is set as an axis of a traveling direction in one walk cycle extracted and transforming the joint coordinates based on information on the target person.

Abstract: Provided is an analysis device including a processor and a storage device. The storage device holds behavior history information indicating a period in which each of a first terminal device and a second terminal device has stayed in a predetermined area of a space and a predetermined remaining period. The processor identifies, as a period of a direct contact, a period in which the first terminal device and the second terminal device have simultaneously stayed in the predetermined area, and, identifies, as a period of an indirect contact, a period which is included in a period from an end point of the period in which the first terminal device has stayed in the predetermined area until the predetermined remaining period elapses, and in which the second terminal device has stayed in the predetermined area.

Abstract: A data analysis requirement definition aid apparatus includes a processor configured to execute a program; and a storage device configured to store a plurality of nodes that each include a character string, and an edge indicating a relationship between two nodes among the plurality of nodes, and wherein the processor configures to receive input of a to-be-analyzed node; retrieve, from among the plurality of nodes, a similar node including a character string similar to the character string of the to-be-analyzed node; acquire a directed graph structure constituted of a group of nodes including the similar node, and an edge between two nodes among the group of nodes; search for a path including the similar node from the directed graph structure; and output, in a displayable manner, the directed graph structure so as to display a path in a different format.

Abstract: In a motion analysis apparatus 101, a data input unit 205 acquires a first imaging result and a second imaging result. in the motion analysis apparatus 101, a skeleton recognition unit 206 recognizes skeleton positions of a subject using the first imaging. result acquired by the data input unit 205, and recognizes skeleton positions of the subject using the second imaging result acquired by the data input unit 205. A motion period extraction unit 403 extracts a period from a start of a motion to an end of the motion as a range of data for comparing skeleton feature points recognized by the skeleton recognition unit 206. The similarity calculation unit 401 compares skeleton feature points recognized for an input from a depth camera with skeleton feature points recognized for an input from an RGB camera to calculate similarities, and outputs a determination result based on the similarities.

Abstract: Provided is a measurement apparatus including a processor and a storage unit. The storage unit holds measurement data of each time point which is obtained by a photographing apparatus, and temporal-spatial constraints. The processor extracts a position of an object from the measurement data of each time point, determines whether the object satisfies the temporal-spatial constraints, and determines, based on a result of the determination on whether the object satisfies the temporal-spatial constraints, whether the object is an analysis target.

Abstract: An object of the invention is to harmonize prediction accuracy and an analysis time of an ensemble model. Therefore, when performing data analysis using an ensemble model 300 that makes an inference by integrating inferences by first to n-th models, an i-th model (1?i?n) constituting the ensemble model 300 is selected from an i-th model group of the model data, at least one model group of the first to n-th model groups includes a plurality of models, and the first to n-th models capable of constituting an ensemble model satisfying a performance requirement for data analysis and a constraint requirement for time required for the data analysis are selected from the first to n-th model groups 301 to 303.

Abstract: A traceability system includes: a Equipment table that stores production data of a product manufactured in a first process, in which an individual ID is appended to a product; a Equipment table that stores production data of a product manufactured in a second process, in which an individual ID is not appended to a product; a training data setting unit that creates a training data table that stores the Equipment table and the Equipment table, which are correlated with each other; a feature amount extracting unit that calculates a cycle time of a predetermined number of products manufactured in the past in the first process; a model creation section that creates a production time estimation model for estimating a production time at which a product has been manufactured in the second process on the basis of the cycle time of the products; and a production time estimating unit.

Abstract: An analysis control device controls an analysis based on time series data for each of a plurality of sensors corresponding to a plurality of components that constitute a target device. The analysis control device acquires sensor data sets belonging to an analysis target time zone among the time series data of each of the plurality of sensors. Each sensor data set includes measurement values measured by a sensor. The analysis control device calculates an evaluation value according to a simple evaluation by using two or more sensor data sets corresponding to the sensor among the plurality of sensor data sets belonging to the analysis target time zone. The analysis control device sets an execution order of the analysis based on the measurement values of the sensor within a restricted time corresponding to the analysis target time zone in a descending order of the calculated evaluation value.

Abstract: To provide a walking mode display method, a walking mode display system and a walking mode analyzer each of which allows for analysis of a walking mode of a user and display thereof in an easily understandable manner. The walking mode display method includes: selecting measurement of a walker and measurement of a reference walker to be compared with the walker; displaying a first walking model that displays a walking for one walking step of the walker as an animation; displaying a second walking model that displays a walking for one walking step of the reference walker as the animation; and displaying a magnitude of predetermined feature amount data related to the measurement of the walker and the magnitude of predetermined feature amount data related to the measurement of the reference walker in a comparable manner.

Abstract: A shipping operation assisting system generates feature amount data representing a relationship between a feature amount of a shipping operation and a working hour on the basis of operation record data representing a record of a plurality of shipping operations each of which is constituted by one or more of picking operations. The system refers to the feature amount data and generates a prediction model for predicting a working hour of a shipping operation corresponding to the operation instruction from the feature amount of the operation instruction on the basis of the generated feature amount corresponding to a sample point and the working hour corresponding to the feature amount. The system generates a sample point based on a distance with respect to an insufficient area where sample points in a feature amount space are insufficient when the prediction model is generated.

Abstract: A DB server 2 stores work achievement table 210 indicating a disposition target related to a work, an actual disposition place where the disposition target is disposed, and actual work time taken for the work for each work and location information 220 indicating a plurality of disposition places where the disposition targets can be disposed. A control portion 330 acquires a mutual action search policy including a plurality of mutual action emergence patterns indicating a relation between the two disposition places influencing the work time taken for the work. A generating portion (an item combination extraction portion 350, a mutual action set search portion 360, and a disposition change optimization portion 370) generates a disposition plan indicating a plan of disposition place where the disposition target is disposed on the basis of the work achievement information, the location information, and the mutual action search policy.

Abstract: An analysis control device controls an analysis based on time series data for each of a plurality of sensors corresponding to a plurality of components that constitute a target device. The analysis control device acquires sensor data sets belonging to an analysis target time zone among the time series data of each of the plurality of sensors. Each sensor data set includes measurement values measured by a sensor. The analysis control device calculates an evaluation value according to a simple evaluation by using two or more sensor data sets corresponding to the sensor among the plurality of sensor data sets belonging to the analysis target time zone. The analysis control device sets an execution order of the analysis based on the measurement values of the sensor within a restricted time corresponding to the analysis target time zone in a descending order of the calculated evaluation value.

Abstract: The analysis system executes an analysis process which takes as input data at least portions of: time series data of a plurality of instances of value data which each include times and values; and analysis data which includes data which has been outputted by previous analysis processes. Each of the one or more objects is a process definition conforming to a user operation. In the analysis process, the analysis system skips at least one of: an execution of a process conforming to an object which matches any previous object; an execution of a process conforming to an object for a scope block and process description, among a plurality of scope blocks which constitute the scope to be analyzed, which match a scope block and process description which are associated with any stored data block; and/or the storage of a data block which matches any stored data block.

Abstract: A system for planning where to place merchandise items is configured to create a placement change plan of merchandise; create first virtual work instruction data reflecting a shipment frequency prediction of merchandise on work instruction data relevant to past shipment of merchandise and second virtual work instruction data with placement of merchandise reflecting a placement change plan of merchandise; calculate a predicted value of reduction in shipment working hours from the first and second virtual work instruction data; calculate placement change working hours to perform a placement change plan of merchandise; subtract the placement change working hours from the predicted value of reduction in shipment working hours, thus obtaining a difference; and adopt a placement change plan of merchandise if the difference fulfills a condition of being at or above a certain threshold which is positive or review the placement change plan of merchandise unless fulfilling the condition.

Abstract: An event flow system connecting nodes, for which processes are defined, from an upstream side to a downstream side by an event which is generated due to a certain process and is used by another process to realize a process flow is provided. The event flow system includes: a process flow builder configured to build a process flow using a plurality of nodes, one or more events, and a reverse event that sends a predetermined request, from a downstream node to an upstream node disposed further toward an upstream side than the downstream node; and a process flow executer configured to execute a process defined for each of the plurality of nodes according to the event and the reverse event.

Abstract: The analysis system executes an analysis process which takes as input data at least portions of: time series data of a plurality of instances of value data which each include times and values; and analysis data which includes data which has been outputted by previous analysis processes. Each of the one or more objects is a process definition conforming to a user operation. In the analysis process, the analysis system skips at least one of: an execution of a process conforming to an object which matches any previous object; an execution of a process conforming to an object for a scope block and process description, among a plurality of scope blocks which constitute the scope to be analyzed, which match a scope block and process description which are associated with any stored data block; and/or the storage of a data block which matches any stored data block.

Abstract: A traceability system includes: a Equipment table that stores production data of a product manufactured in a first process, in which an individual ID is appended to a product; a Equipment table that stores production data of a product manufactured in a second process, in which an individual ID is not appended to a product; a training data setting unit that creates a training data table that stores the Equipment table and the Equipment table, which are correlated with each other; a feature amount extracting unit that calculates a cycle time of a predetermined number of products manufactured in the past in the first process; a model creation section that creates a production time estimation model for estimating a production time at which a product has been manufactured in the second process on the basis of the cycle time of the products; and a production time estimating unit.