Abstract: According to one embodiment, an information processing device includes a memory and one or more processors coupled to the memory. The one or more processors are configured to: generate, by machine learning using time-series data of a variable for a phenomenon related to an abnormality in a system to be monitored, a prediction model for predicting an indicator used to identify the a timing of system maintenance and a physical model for predicting the variable; and perform either one of a first prediction process using the physical model that is learned using the indicator predicted by the prediction model and a second prediction process of correcting the indicator predicted by the prediction model by using the variable predicted by the physical model.

Abstract: A control apparatus according to an embodiment includes one or more hardware processors. The processors acquire, for each of elements, pieces of input data representing first physical field of a corresponding one of the elements at a first time point. The elements are obtained by discretization of an object to be controlled. The processors calculate, for each element, second physical field of a corresponding element at a second time point after the first time point. The second physical field is calculated based on a value of an energy functional representing energy of the corresponding element. The value of the energy functional is obtained by inputting the pieces of input data into an estimation model. The processors control the object such that control quantity based on the second physical field becomes a target value.

Abstract: There is provided a medical image processing apparatus which includes a first extraction unit configured to extract coronary arteries depicted in images of a plurality of time phases relating to the heart, and to extract at least one stenosed part depicted in each coronary artery; a calculation unit configured to calculate a pressure gradient of each of the extracted coronary arteries, based on tissue blood flow volumes of the coronary arteries; a second extraction unit configured to extract an ischemic region depicted in the images; and a specifying unit configured to specify a responsible blood vessel of the ischemic region by referring to a dominance map, in which each of the extracted coronary arteries and a dominance territory are associated, for the extracted ischemic region, and to specify a responsible stenosis, based on the pressure gradient corresponding to a stenosed part in the specified responsible blood vessel.

Abstract: An information processing system according to an embodiment includes edge terminals, an information processing apparatus, and one or more service providing apparatuses. The edge terminals each transmit, to the information processing apparatus, monitoring data indicating a state of a target system to be analyzed. The information processing apparatus performs an analysis process by using an analysis mod& that inputs an input value including the monitoring data transmitted from the edge terminals and outputs an output value of a value function. The analysis process is a process to obtain the output value in response to the input value, The information processing apparatus transmits, to the service providing apparatuses, information indicating an analysis result of the analysis process. The service providing apparatuses each output information obtained by visualizing the analysis result on the basis of information indicating the analysis result.

Abstract: According to one embodiment, a medical image diagnostic apparatus includes a storage memory, processing circuitry, and a display. The storage memory stores data of a plurality of FFR distribution maps constituting a time series regarding a coronary artery, and data of a plurality of morphological images corresponding to the time series. The processing circuitry converts the plurality of FFR distribution maps into a plurality of corresponding color maps, respectively. The display displays a plurality of superposed images obtained by superposing the plurality of color maps and the plurality of morphological images respectively corresponding in phase to the plurality of color maps. The display restricts display targets for the plurality of color maps based on the plurality of FFR distribution maps or the plurality of morphological images.

Abstract: There is provided a medical image processing apparatus which includes a first extraction unit configured to extract coronary arteries depicted in images of a plurality of time phases relating to the heart, and to extract at least one stenosed part depicted in each coronary artery; a calculation unit configured to calculate a pressure gradient of each of the extracted coronary arteries, based on tissue blood flow volumes of the coronary arteries; a second extraction unit configured to extract an ischemic region depicted in the images; and a specifying unit configured to specify a responsible blood vessel of the ischemic region by referring to a dominance map, in which each of the extracted coronary arteries and a dominance territory are associated, for the extracted ischemic region, and to specify a responsible stenosis, based on the pressure gradient corresponding to a stenosed part in the specified responsible blood vessel.

Abstract: A control apparatus according to an embodiment includes one or more hardware processors. The processors acquire, for each of elements, pieces of input data representing first physical field of a corresponding one of the elements at a first time point. The elements are obtained by discretization of an object to be controlled. The processors calculate, for each element, second physical field of a corresponding element at a second time point after the first time point. The second physical field is calculated based on a value of an energy functional representing energy of the corresponding element. The value of the energy functional is obtained by inputting the pieces of input data into an estimation model. The processors control the object such that control quantity based on the second physical field becomes a target value.

Abstract: According to one embodiment, a medical image diagnostic apparatus includes a storage memory, processing circuitry, and a display. The storage memory stores data of a plurality of FFR distribution maps constituting a time series regarding a coronary artery, and data of a plurality of morphological images corresponding to the time series. The processing circuitry converts the plurality of FFR distribution maps into a plurality of corresponding color maps, respectively. The display displays a plurality of superposed images obtained by superposing the plurality of color maps and the plurality of morphological images respectively corresponding in phase to the plurality of color maps. The display restricts display targets for the plurality of color maps based on the plurality of FFR distribution maps or the plurality of morphological images.

Abstract: A time-series morphology index and a time-series shape deformation index of the analysis target region on a time-series medical image are calculated by image processing. A dynamical model of a structural fluid analysis of the analysis target region is temporarily structured, based on the time-series morphology index, the time-series shape deformation index, and the time-series medical image. A latent variable of the identification region is identified so that at least one of a prediction value of a blood vessel morphology index and a blood flow volume index based on the temporarily structured dynamical model match with at least one of an observation value of the blood vessel morphology index and the blood flow volume index measured.

Abstract: An analysis apparatus according to an embodiment includes one or more hardware processors. The one or more hardware processors: acquire pieces of input data each representing a physical quantity of a corresponding one of elements, the elements being obtained by performing discretization on an analysis area; input the pieces of input data into an estimation model; and calculate pieces of output data output by the estimation model, each of the pieces of output data being a value of an energy functional representing energy of a corresponding one of the elements.

Abstract: According to one embodiment an electronic apparatus includes a housing, a heat generating element, a plurality of sensors, and an index calculator. The heat generating element is housed in the housing. The index calculator calculates an index corresponding to a physical quantity or an index indicating performance of the electronic apparatus, based on a correlation between detected values of the sensors and the index.

Abstract: A semiconductor device inspection apparatus according to embodiments comprises: an action unit that generates an internal stress in a predetermined direction in a semiconductor device; a stress controller that controls a magnitude of the internal stress generated in the semiconductor device by the action unit; a probe electrically connected to the semiconductor device; a probe controller that supplies a current to the semiconductor device via the probe; and a controller that screens the semiconductor device based on a first current flowing through the semiconductor device via the probe while the internal stress is not generated in the semiconductor device and a second current flowing through the semiconductor device via the probe while the action unit generates the internal stress in the semiconductor device.

Abstract: A semiconductor device 10 includes a pair of electrodes 16 and a conductive connection member 21 electrically bonded to the pair of electrodes 16. At least a portion of a perimeter of a bonding surface 24 of at least one of the pair of electrodes 16 and the conductive connection member 21 includes an electromigration reducing area 22.

Abstract: An analysis apparatus of an embodiment includes one or more processors. The processors receive structural information indicating a structure of a pipe to be analyzed and fluid information indicating a state of a fluid flowing in the pipe. The one or more processors obtain a plurality of loss factors of the pipe based on the structural information and the fluid information and calculate a wall shear stress of the pipe from the loss factors.

Abstract: A medical image diagnostic apparatus according to an embodiment includes an estimation unit, an extraction unit, and a specifying unit. The estimation unit estimates a position of a plaque in a blood vessel based on data of CT images constituting a time series, with the blood vessel being enhanced by a contrast medium. The extraction unit extracts regions constituting the blood vessel from the CT images. The specifying unit specifies stress values respectively corresponding to the regions based on a moving displacement due to cardiac pulsation in each of the regions, and specifies an exfoliation risk of the plaque based on an index indicating hardness of the plaque and the stress value in the region corresponding to the position of the plaque.

Abstract: An inspection device comprises: a detecting unit that is connected to a plurality of semiconductor chips having mutually different rates of change of electrical resistance with respect to stress loading direction, and that detects an electrical resistance value of each semiconductor chip from electric current flowing in each semiconductor chip; a first memory unit that is used to hold model data meant for converting an electrical resistance value into a characteristic value indicating at least either temperature, or stress, or strain; a converting unit that converts the electrical resistance value of each semiconductor chip as detected by the detecting unit into the characteristic value using the model data held in the first memory unit; and a second memory unit that is used to store the characteristic value, which is obtained by conversion by the converting unit, as time-series data for each of the plurality of semiconductor chips.

Abstract: A semiconductor storage device comprises a plurality of memory cells arranged in a matrix. Each of the memory cells includes: a semiconductor storage element including a silicon carbide substrate and a silicon carbide film on a first surface of the silicon carbide substrate; a lower electrode on a second surface facing away from the first surface of the silicon carbide substrate; and an upper electrode on at least part of a surface of the silicon carbide film, the surface facing away from another surface of the silicon carbide film in contact with the silicon carbide substrate. Each memory cell includes at least one basal plane dislocation formed at at least part of the semiconductor storage element.

Abstract: A medical-information processing apparatus according to an embodiment includes processing circuitry. The processing circuitry acquires medical image data that is obtained during imaging on the subject in a resting state in the time phase where the relationship between the volume of blood flow and the pressure in a blood vessel in the cardiac cycle of the subject indicates a proportional relationship.

Abstract: According to one embodiment, a medical image diagnostic apparatus includes a storage memory, processing circuitry, and a display. The storage memory stores data of a plurality of FFR distribution maps constituting a time series regarding a coronary artery, and data of a plurality of morphological images corresponding to the time series. The processing circuitry converts the plurality of FFR distribution maps into a plurality of corresponding color maps, respectively. The display displays a plurality of superposed images obtained by superposing the plurality of color maps and the plurality of morphological images respectively corresponding in phase to the plurality of color maps. The display restricts display targets for the plurality of color maps based on the plurality of FFR distribution maps or the plurality of morphological images.

Abstract: According to an embodiment, in a semiconductor device, a total value of a change amount of chemical potential of the semiconductor device with respect to a expansion direction of a stacking fault and the stacking fault energy of the stacking fault is zero or more.