Abstract:
A control device controls a subject to be controlled that obtains a certain state by an action, and is configured to conduct: an obtaining process to obtain the state and the action of the subject to be controlled from the subject to be controlled; a generating process to generate a reward that causes a next action of the subject to be controlled to optimize a next state of the subject to be controlled, based on the state and the action of the subject to be controlled; a selecting process to select a next action of the subjected to be controlled, based on the state and the action of the subject to be controlled, and the reward; and a control process to give a control command value to the subject to be controlled, the control command value corresponding to the next action of the subject to be controlled.
Abstract:
A generation technique and an analysis technique of a large number of explanatory variables to derive effective measures by using various data are provided. Specifically, a factor which lurks in a large amount of data and affects business performance is identified by automatically generating a large number of explanatory variables and performing correlation analysis between the explanatory variables and an objective variable. Three operators representing condition, target, and arithmetic which are variable generation conditions are defined in advance for data inputted into an analysis system and a large number of explanatory variables are automatically generated by these operators.
Abstract:
An analysis sever capable of performing analysis among a large amount of sensor data in order to obtain an analysis result that a reader desires and outputting the result instantaneously. The analysis server rearranges the sensor data acquired from a sensor node into time series data. The analysis is performed separately for time trigger analysis (D) and for event trigger analysis (F) depending on analysis contents. In the time trigger analysis (D), analysis processing that is basically needed when visualizing a state of an organization is performed. In the event trigger analysis (F), an analysis result obtained by the time trigger analysis (D) is processed using the reader's desired information and is outputted.
Abstract:
A sensor-net system for digitizing a relationship between persons in an organization includes plural terminals and a processor for processing data received from those terminals. Each of the terminals includes a sensor for sensing a physical amount and a data sender for sending data denoting the physical amount sensed by the sensor. The processor calculates a value denoting a relationship between a first terminal wearing person and a second terminal wearing person according to the data received from the first and second terminals.
Abstract:
For providing an information processing system which enables easier automatic extraction of a more suitable object for which a measure is to be taken, the information processing system for extracting the object for which the measure is taken is configured to include: a reception. unit (GSO5) which receives first data (GSC11) related to business of an enterprise and second data (GSC12) that is related to the business of the enterprise and has granularity equal to or finer than the granularity of the first data; an index generation unit (GSO2) which generates, from the first data, a plurality of descriptive indices matching the granularity of the second data; and an extraction unit (GSO1) which extracts from the descriptive indices, the object for which the measure is to be taken.
Abstract:
A system for motion analytics includes acceleration sensors and selectively infrared sensors or microphones. The system also includes a processor and display device. The processor identifies test scores obtained by subjects. The processor also computes degrees of similarities in the real-time physical movements between the at least two groups of subjects using the acceleration sensors, and an amount of time during which some subjects among the at least two groups of subject are engaged in communication using the infrared sensors and/or the microphones. Further, the processor analyzes a correlation between the test scores and the degrees of similarities, and between the test scores and the amount of communication time. The processor then predicts an improvement in the test scores based on patterns in the analysis of the correlation. The predicted improvement of the test scores is then displayed on the display device.
Abstract:
A generation technique and an analysis technique of a large number of explanatory variables to derive effective measures by using various data are provided. Specifically, a factor which lurks in a large amount of data and affects business performance is identified by automatically generating a large number of explanatory variables and performing correlation analysis between the explanatory variables and an objective variable. Three operators representing condition, target, and arithmetic which are variable generation conditions are defined in advance for data inputted into an analysis system and a large number of explanatory variables are automatically generated by these operators.
Abstract:
Provided is a sensor data analysis system, comprising terminals, a control unit, an analysis unit, and a storage unit, wherein the terminals worn on persons belonging to an organization, the terminals each comprising a sensor to measure a physical quantity, the storage unit holds an activity index of the organization, and holds, for a first condition relating to a behavior of each of the persons, advice corresponding to a statistical relation between an amount of the behavior satisfying the first condition and the activity index, the control unit generates a behavior index for indicating a behavior of a first person based on the physical quantity, the analysis unit calculates, for the first condition, the statistical relation between the amount of the behavior satisfying the first condition and the activity index based on the behavior index, and the control unit outputs advice corresponding to the statistical relation satisfying a second condition.
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 data analysis support systems according to the present invention assumes any of multiple indices to be an objective variable, implements clustering and collectively outputs indices belonging to the identical cluster.