Abstract: A storage-based migration is performed in a VVOL environment. A migration processing unit generates a migration group in which a virtual volume to be migrated, a protocol endpoint related to the virtual volume, and a storage container that cuts out the virtual volume are grouped, and migrates the migration group to a storage node; and a configuration changing unit configures, based on information of the migration group transmitted from the storage node, a protocol endpoint, a virtual volume, and a storage container on a storage node which are the same as the protocol endpoint, the virtual volume, and the storage container configured on the storage node.

Abstract: The present invention makes it possible to convert an NC program used for one processing into an NC program capable of securing appropriate processing accuracy in another processing machine. Provided is an NC program conversion process method by a conversion system which converts a conversion source NC program for executing a processing in a conversion source processing machine into a conversion destination NC program for executing a processing in a conversion destination processing machine, wherein an input of information relating to (1) stiffness of the conversion destination processing machine or (2) stiffness of the tool included in a conversion destination toolset is received, and on the basis of the received information relating to the stiffness, a conversion source NC program 1424 is converted into a conversion destination NC program 1425.

Abstract: To optimize an operation of a manufacturing facility by presenting a countermeasure for improving quality, even in a manufacturing process where the product quality changes even under constant manufacturing conditions. A countermeasure recommendation device includes a data acquisition unit for collecting a plurality of pieces of facility data, and assigning a label for each process to each piece of the facility data; a countermeasure detection unit for creating countermeasure record data; a countermeasure recommendation unit for calculating the characteristic amount, extracting the characteristic amount, and selecting the countermeasure related to the extracted characteristic amount; and a countermeasure presentation unit for presenting the countermeasure in a visualized state.

Abstract: An autonomous system including a plurality of autonomous bodies, each of the autonomous bodies includes a situation grasping unit that grasps situation, an operation determining unit that determines an operation based on the grasped situation, and an operation executing unit that executes the determined operation, the plurality of autonomous bodies included in the autonomous body system includes one or more first autonomous bodies and two or more second autonomous bodies, situation grasped by the situation grasping unit of the first autonomous body includes situation of the second autonomous body, the situation grasped by the situation grasping unit of the second autonomous body includes a result of an operation executed by the operation executing unit of the first autonomous body, and the operation determining unit of the second autonomous body determines an operation based on the result of the operation executed by the operation executing unit of the first autonomous body.

Abstract: Learning data of a usage environment can be efficiently collected. A recognition apparatus includes: a first neural network configured to receive input of data; a second neural network configured to receive input of the data, the second neural network having a different structure from a structure of the first neural network; a comparison unit configured to compare a first output result of the first neural network and a second output result of the second neural network; and a communication unit configured to wirelessly transmit the data to a host system configured to learn the data when a comparison result between the first output result and the second output result is different by a predetermined standard or more.

Abstract: A computing apparatus that does not need quantum coherence or a cryogenic cooling apparatus is provided for assignments that need an exhaustive search. A system is led to the ground state of the system where a problem is set, wherein spin sjz that is a variable follows a local effective magnetic field Bjz. The spin state at t=0 is initialized with a transverse field (in the x-direction). This corresponds to sjz=0. With time t, the magnetic field in the z-axis direction and the inter-spin interactions are gradually added, and finally the spin is directed to the +z- or ?z-direction. The z component of the spin sj is sjz=+1 or ?1. Here, in the process where the orientation of the spin sjz follows that of the effective magnetic field Bjz, correction parameters originating in quantum-mechanical effects are introduced and ground-state-maintaining performance is improved.

Abstract: Two or more nodes respectively provided with two or more storage control programs constituting each redundantization group maintain redundantization of metadata at the two or more nodes. When a node failure occurs, a failover from the corresponding active storage control program to a standby storage control program is performed. As regarding at least one standby storage control program, a node with the standby storage control program arranged therein compresses a target metadata portion including a metadata portion capable of being accessed after the failover, of metadata existing in the node as regarding the corresponding redundantization group, and stores the same in a memory of the node.

Abstract: In a processing system including a data distribution server and multiple processing servers, the data distribution server transfers data to any one of the multiple processing servers, and the processing server includes a server determination information storage unit in which load information on each of the multiple processing servers is stored and an application specific transfer determination information storage unit in which a condition to be transferred peculiar to an application is stored.

Abstract: An information processing device includes an input device, an output device, a processing device, a storage device, and a generating unit. The generating unit includes a first function of inputting text data; a second function of inputting a synonym dictionary including synonyms; a third function of extracting a first piece of text data from the multiple pieces of text data; a fourth function of extracting from the synonym dictionary synonyms in which a certain word in the first piece of text data is included; a fifth function of extracting from the text data second multiple pieces of text data including a synonym belonging to the extracted synonyms; and a sixth function of generating a score to evaluate a relationship between the first piece of text data and the extracted synonyms from a relationship between the first piece of text data and the second multiple pieces of text data.

Abstract: Provided is a server load prediction system that predicts a server load on a server connected to an apparatus installed in a production process including an apparatus requirement specification storage unit that stores a requirement specification of each apparatus for a server, a server specification storage unit that stores a server specification indicating a capability held by each server, an input information creation unit that receives an input of a calculation condition and creates an input parameter required to execute a simulation for calculating the server load, a server load calculation unit that calculates the server load caused by the apparatus used in a process designated under the calculation condition by executing the simulation, and an output unit that outputs the calculation result.

Abstract: In the present invention, there is provided a data integration method executed by a data integration system that corrects inconsistency in type or quality between first data and second data stored in a data lake. The method includes a feature value calculation step of calculating feature values of the first data and the second data, an inconsistency detection step of detecting the inconsistency between the first data and the second data based on the feature values, and a data adjustment step of correcting the inconsistency by using an integrated view according to a request to acquire the first data and the second data from a user.

Abstract: A scaling system ranges over a first base in which a first calculating apparatus having first and second worker nodes operates, and a second base in which a storage apparatus connected to the first base by a network is set. The storage apparatus includes first and second network ports, and first and second volumes accessed by first and second worker node, respectively. A second calculating apparatus is further set in the first base, and the second worker node is moved to the second calculating apparatus and operates as a third worker node and the second volume communicates with the third worker node through the second network port if the transfer rate of the first calculating apparatus or the transfer rate of the first network port exceeds a predetermined threshold when the first and second volumes are in communication with the first calculating apparatus through the first network port.

Abstract: A digital PCR measuring apparatus capable of measuring a melting curve with high accuracy is provided. The digital PCR measuring apparatus includes a temperature adjuster that controls a temperature of a sample container including a plurality of minute regions, a fluorescence measurement part that measures fluorescence intensity of a plurality of minute regions, and a controller that controls the temperature adjuster and the fluorescence measurement part. The controller controls the temperature adjuster to raise a temperature of the sample container, and, after removing air bubbles generated in the sample container, measures fluorescence intensity of a plurality of minute regions while controlling the temperature adjuster to lower the temperature of the sample container, and measures a melting curve of a plurality of the minute regions.

Abstract: A credit analysis assistance method for a system 10, the method comprising executing by a node 100 of a party involved in a predetermined transaction a process of extracting evaluation information on a business partner in the transaction from the predetermined transaction data in the distributed ledger 110, a process of extracting an evaluation result on the business partner determined by a predetermined external institution from the predetermined transaction data in the distributed ledger 110, and a process of generating credit information on the business partner by applying a predetermined rule defined in advance to the evaluation information and the evaluation result.

Abstract: An object of the present invention is to properly secure the consistency of data while suppressing a processing load of a controller on a processor. A storage system includes a plurality of controllers and an HCA that can directly access a memory and can communicate with the controllers. The controller includes a CPU, and a memory having a buffer region into which data is temporarily stored and a cache region into which data is cached. In the case where new data according to a write request is stored into the buffer region, the CPU of the controller sequentially transfers the new data to the cache regions using the HCA without passing through the other buffer regions.

Abstract: An information processing system creates a teacher database configured to train an analysis model from an observation image and labeling information corresponding to the observation image using an information processor. This system includes a storage unit, an image processing unit, and a teacher database creating unit. The storage unit stores image processing data formed of information showing a relationship between an observation condition and a parameter relating to the observation image. Further stores a first observation image, a first observation condition, and first labeling information. The image processing unit accepts the first observation image and the first observation condition as inputs, performs image processing corresponding to the parameter to the first observation image based on the image processing data, and creates a second observation image corresponding to a second observation condition.

Abstract: An object of the present invention is to improve the image quality of images obtained during travelling even in inferior environmental conditions. A camera 101-1 is mounted in a train 1-1, and a camera 101-2 is mounted in a train 1-2. Each of the camera 101-1 and the camera 101-2 images the same physical object at different times while moving along the same track 5. A processing apparatus 2 generates a synthetic image 7 by synthesizing images related to the same physical object imaged by the cameras 101-1 and 101-2 while moving along the same track 5, and displays the same on a display screen 2A.

Abstract: Provided is a technique for comprehensively understanding the relationship between brain regions. A brain connectivity analysis system herein includes a memory configured to have stored therein a connectivity analysis program for analyzing the connectivity; and a processor configured to read the connectivity analysis program from the memory and analyze the connectivity. The processor is configured to execute a process of acquiring from a storage unit measured data on a plurality of selected regions of a brain, a process of determining at least two of the plurality of regions as seed regions and calculating a plurality of connectivity features for the seed regions and other regions from the measured data on the plurality of regions, and a process of generating a connectivity feature graph showing a relationship between a transfer delay time and another connectivity feature of each region that are included in the plurality of connectivity features.

Abstract: Disclosed is a business model generation support method for proposing a new business model. A computer receives a first business model and a second business model, and adds, for the plurality of business models, a first activity and a second activity which are respectively performed by the first and second business models to first information that predefines jobs performed by the business models as activities. Next, the computer adds the relation between a first data item and the first activity and the relation between a second data item and the second activity to second information that predefines the relation between the activities and the data items used for performing the activities. The first and second data items are used for performing the first and second activities, respectively. Then, the computer searches the second information to obtain a third activity including both the first data item and the second data item.

Abstract: A biological sample analysis chip including a first substrate, a membrane disposed on the first substrate, a first liquid tank which is provided with a first electrode, a plurality of second liquid tanks each of which is provided with at least one flow path and a second electrode; and a second substrate disposed below the first substrate, in which the plurality of second liquid tanks are substantially insulated from each other, the membrane disposed on the first substrate is disposed between the first liquid tank and the plurality of second liquid tanks so as to form a portion of the first liquid tank and a portion of the plurality of second liquid tanks, and the second substrate is provided with the at least one flow path and the second electrode so as to form a portion of the plurality of second liquid tanks.