Abstract: An object of the present invention is to realize a proper storage operation in accordance with the state of a storage devices which constructed remote copy pair via a network. A first storage device for providing a first volume and a second storage device for providing a second volume as a remote copy destination of the first volume, includes: a storing unit for policy sets that is a regulation group relating to the service quality of the second volume; and a policy selection unit for selecting a policy set to be used from the plurality of policy sets in accordance with the states of the first volume and the second storage device. According to such a configuration and operation, it is possible to properly operate the storage device by selecting a policy set before and after the failover or according to the presence or absence of degeneration.

Abstract: A running pattern creation device includes: a coordinate system that is formed of a positional coordinate axis and a vehicle velocity axis; a stopping avoidance zone position holding unit 1 configured to hold positional information on a stopping avoidance zone of a vehicle 8; a vehicle condition holding unit 2 configured to hold at least information on respective accelerations at an acceleration time, a deceleration time and a coasting time with respect to specification of the vehicle 8; a braking pattern creation unit 3 configured to create a braking pattern that is a pattern for stopping the vehicle 8 at a position other than the stopping avoidance zone using the positional information and information on acceleration at the deceleration time; a coasting pattern creation unit 4 configured to create a coasting pattern that is a pattern for stopping the vehicle 8 at a position other than the stopping avoidance zone using the positional information and the information on acceleration at the coasting time; an ob

Abstract: A storage system that performs irreversible compression on time-series data using a compressor/decompressor based on machine learning calculates a statistical amount value of each of one or more kinds of statistical amounts based on one or more parameters in relation to original data (time-series data input to a compressor/decompressor) and calculates a statistical amount value of each of the one or more kinds of statistical amounts based on the one or more kinds of parameters in relation to decompressed data (time-series data output from the compressor/decompressor) corresponding to the original data. The machine learning of the compressor/decompressor is performed based on the statistical amount value calculated for each of the one or more kinds of statistical amounts in relation to the original data and the statistical amount value calculated for each of the one or more kinds of statistical amounts in relation to the decompressed data.

Abstract: An object of the invention is to efficiently create a 3D model of a plant with attributes from a 3D model of a plant with no attributes. In order to solve the above problems, in the invention, a connection information conversion part 5 converts a connection relationship of parts extracted from a 3D model with no attributes 2 into connection information of a system diagram, an extraction information comparing part 6 compares the connection information with the connection relationship extracted from an attribute system diagram to create an conversion correspondence DB 7, and a 3D model with attributes 9 is created based on the conversion correspondence DB from the 3D model with no attributes 2.

Abstract: Example implementations described herein involve systems and methods which automatically determine volumes to be replicated for disaster recovery based on the execution priority of an application which uses the volumes. Such example implementations can involve systems and methods involving creating a volume in a first storage system for each of one or more containers newly launched on one or more servers managing a container orchestrator; and establishing replication of the volume for the each of the newly launched one or more containers to a second storage system in order from highest container priority to lowest container priority.

Abstract: A system performs a loss factor determination which refers to, for each of two or more different Ms from among 4 Ms (Man, Machine, Material, and Method), a time series data group representing a time series of a state of an element belonging to the M, and which determines, for each period between time points, whether or not a state combination in the same period between time points corresponds to one or a plurality of loss state combinations. In each period between time points, the state combination is a combination of two or more states belonging to the period between time points and corresponding to the two or more Ms. The loss state combination is a state combination defined as an opportunity loss. With each loss state combination, a loss factor, which is a factor of an opportunity loss corresponding to the loss state combination, is associated.

Abstract: The functions of a mainframe environment are expanded by leveraging the functions of an open environment.

Abstract: A trajectory generation device which generates a trajectory of a robot includes: a trajectory exploration graph generation unit which is configured to generate a trajectory exploration graph composed of a plurality of nodes for generating the trajectory; an acceleration upper limit value acquisition unit which is configured to acquire a first acceleration upper limit value based on orientations and an acceleration direction of the robot at a current node; a velocity and acceleration setting unit which is configured to set a first velocity representing a velocity when moving from the current node to a next node adjacent to the current node based on the acquired first acceleration upper limit value, and an acceleration; and a node cost calculation unit which is configured to calculate a moving time by using the set first velocity and the acceleration as cost from the current node to the next node.

Abstract: To be able to support the efficient handling of problems during maintenance. A management board determines an accomplishment sequence of handling manipulation for failures on a maintenance target. The management board includes a CPU, memory, and a storage device. The memory or the storage device stores: condition information associating the handling manipulation with a condition concerning at least accomplishment or non-accomplishment of the manipulation; and failure handling information that associates a failure occurring on the maintenance target with the handling manipulation. The CPU is configured to determine the accomplishment sequence of the handling manipulations so that multiple handling manipulations for multiple failures occurring on the maintenance target satisfy the condition.

Abstract: There is proposed a model update device and method, and a process control system, which are capable of significantly reducing the labor, time, and monetary cost required for model update and are also easily applicable to a plant in which the existing model predictive control is introduced, without causing a loss of operating profit. By converting a data format of operation data of a target process into a delay coordinate format and solving a regression problem including a regularization term for the operation data converted into the delay coordinate format, an update model reflecting secular change information of the target process is generated, and the model is replaced with the generated update model to be updated.

Abstract: To provide an action evaluation system capable of more efficiently planning a new action based on an execution result of a test for limited action conditions. A condition change tracking unit determines, based on execution result information obtained by executing a test related to an action for an action target having a predetermined action condition, a condition change which is a change in the action condition before and after the test. A result verification unit calculates, based on the execution result information, an evaluation value obtained by evaluating an effect of the action. A reward distribution unit calculates a change contribution degree which is a degree of contribution of the condition change to the evaluation value.

Abstract: An alert output apparatus is configured to hold: image information indicating one or more inspection objects included in a photographic object of an image for which determination is to be executed; alert target item information indicating an alert target item; and co-occurrence item information indicating alert co-occurrence items each determined in advance as an item to be included in the image at the same time as the alert target item, and to output alert when determining that at least one inspection object out of the one or more inspection objects matches to the alert target item and satisfies a given condition, and when determining that no inspection object out of the one or more inspection objects matches to the alert target item but at least one inspection object out of the one or more inspection objects matches to at least one of the alert co-occurrence items.

Abstract: A display system includes a display and a detector configured to detect an orientation of the display. The display system includes a display source image generation unit configured to generate a display source image including a first image and a second image related to this first image; and a visual field image display unit configured to display the first image in a first display region of the display and display the second image in a second display region of the display. The visual field image display unit is configured to set a predetermined fixed region of the display as the first display region when a display mode associated with the first image is a first display mode, and determine the first display region according to the orientation of the display when the display mode is a second display mode.

Abstract: An optimization system has a plurality of nodes, each including: a calculation processing unit that calculates an optimum value of a determination variable representing a parameter that controls the nodes by using the ADMM; and a function value calculation unit that receives an input of a value of the determination variable and calculates the value of the objective function based on a calculation model constructed by a learning processing. An arbitrary value of the determination variable is input to the function value calculation unit, and the calculation processing unit substitutes the value of the objective function calculated by the function value calculation unit and the arbitrary value of the determination variable into a second optimization problem by dual transformation of the first optimization problem, thereby repeatedly executing a processing of calculating a value of the dual variable until the value of the dual variable satisfies a predetermined condition.

Abstract: A data migration system 10 includes: a management server 20 configured to obtain transaction information from a distributed ledger at a data migration source, and transmit a migration transaction to a distributed ledger node at a data migration destination, the migration transaction specifying a transaction ID indicated by the transaction information obtained; and the distributed ledger node 100 configured to receive the migration transaction, obtain transaction information in the distributed ledger at the data migration source based on the transaction ID, extract data on a predetermined processing result from the transaction information obtained, execute a transaction using the extracted data as an argument, and transmit a result of the executed transaction to a transaction distribution node 300 at the data migration destination.

Abstract: An application development assistance system in which optimal security measures can be taken at positions in need of security measures under an application development environment using a flow diagram analyzes an input application description file and outputs application data information and module information. A data importance level judgment unit decides importance levels of data exchanged between modules on the basis of the application data information.

Abstract: Example implementations described herein involve systems and methods for generating an ensemble of deep learning or neural network models, which can involve, for a training set of data, generating a plurality of model samples for the training set of data, the plurality of model samples generated from deep learning or neural network methods; and aggregating output of the model samples to generate an output of the ensemble models.

Abstract: An objective of the present invention is to provide a future state estimation method and future state estimation device with which, given that the space in which the estimation is carried out is finite, it is possible to rapidly estimate the states of a controlled object and the peripheral environment thereof in the form of probability density distribution for infinite future.

Abstract: An object of the invention is to enable usage of data based on terms concluded with a user, and achieves both promotion of usage of personal data and privacy protection related to the personal data. A data distribution intermediary device acquires personal data metadata and generates service usage data metadata based on terms of service related to distribution and usage of the personal data. Then, the data distribution intermediary device detects a difference between the personal data metadata and the service usage data metadata, determines a necessity of conversion processing of the personal data based on the difference between the metadata, and converts the personal data to corresponding service usage data based on the service usage data metadata when the personal data is determined to be necessary to be converted.

Abstract: The purpose of the invention is to provide novel cell culture substrates, cell culture vessels, and methods for cell culture. A cell culture substrate having a planar mesh structure, the substrate being coated with a polymer, is provided. Cells are cultured in a cell culture vessel having this substrate.