Abstract: When a product is produced at the facility, a product ID of the product to be produced and setting values of a plurality of control parameters are received from a console terminal, and a transformation model corresponding to the combination of the product ID of the product to be produced and setting values of the plurality of the control parameters is read from a transformation model storage part. Then, in accordance with the read transformation model, the reference learning data stored in a reference learning data storage part is data-transformed and individual learning data corresponding to the product to be produced is generated, and with use of the individual learning data, whether measurement data output from sensors in the facility is abnormal is discriminated.

Abstract: A biological information analysis device including: an indicator extraction unit configured to extract an indicator indicating a cardiac state, from data regarding blood pressure waveforms that are consecutively measured by a sensor that is configured to be worn on a body part of a user and to be capable of non-invasively measuring a blood pressure waveform for each heartbeat; and a processing unit configured to output the indicator extracted by the indicator extraction unit. The indicator extraction unit is configured to extract a value of a cardiac load indicator for each heartbeat, from the data regarding blood pressure waveforms, and calculate the indicator indicating the cardiac state, based on characteristics related to distribution of values of the cardiac load indicator corresponding to a plurality of heartbeats.

Abstract: A monitoring system according to an aspect may construct a predictive model that predicts a value of a removal amount depending on values of an accumulated operating time and an accumulated number of processed wafers, based on learning data; acquires actual values of the accumulated operating time, the accumulated number of processed wafers, and the removal amount with respect to a wet etching apparatus when it is in operation; calculates a predicted value of the removal amount by inputting the acquired actual values of the accumulated operating time and the accumulated number of processed wafers to the predictive model; calculates the difference between the predicted value and the actual value of the removal amount, as an indicator value serving as a measure of how necessary it is to replace a chemical solution; and outputs information regarding replacement of the chemical solution based on the calculated indicator value.

Abstract: A biological information analyzing device includes: an indicator extraction unit that extracts, from blood pressure waveform data measured continuously by a sensor that is worn on a user's body and can non-invasively measure a blood pressure waveform for each of heartbeats, an indicator expressing a load placed on the user's heart by an activity, and a processing unit that outputs the indicator extracted by the indicator extraction unit. The indicator extraction unit finds the indicator on the basis of a difference between a blood pressure waveform in a resting section corresponding to when the user is in a resting state and a blood pressure waveform in an active section corresponding to when the user is engaged in the activity.

Abstract: A biological information analyzing device includes: an indicator extraction unit that converts, into a frequency spectrum, time series data of a blood pressure waveform continuously measured by a sensor that is worn on a user's body and can non-invasively measure the blood pressure waveform for each of heartbeats, and extracts an indicator based on a strength of a prescribed frequency component in the frequency spectrum; and a processing unit that carries out a process based on the extracted indicator.

Abstract: A biological information analysis device includes: an indicator extraction unit configured to extract, from data regarding blood pressure waveforms consecutively measured by a sensor configured to be worn on a body part of a sleeping user and to be capable of non-invasively measuring a blood pressure waveform for each heartbeat, an indicator that is related to the functionality of respiratory organs of the user, based on characteristics of the blood pressure waveforms; and a processing unit configured to perform processing that is based on the indicator thus extracted.

Abstract: A biological information analyzing device includes: an indicator extraction unit that obtains data of a blood pressure fluctuation section, which is a section in which a blood pressure fluctuation has occurred, from time series data of a blood pressure waveform measured continuously by a sensor, which is worn on a user's body and can non-invasively measure a blood pressure waveform for each of heartbeats, and extracts an indicator expressing a blood pressure fluctuation type of the user from the data of the blood pressure fluctuation section; and a processing unit that outputs the indicator expressing the blood pressure fluctuation type extracted by the indicator extraction unit.

Abstract: A biological information analysis device including: an indicator extraction unit configured to extract, from data regarding blood pressure waveforms consecutively measured by a sensor configured to be worn on a body part of a user and to be capable of non-invasively measuring a blood pressure waveform for each heartbeat, an indicator that indicates an event occurrence risk, which is the risk of an event occurring due to a change in blood pressure, based on characteristics of the blood pressure waveforms; and a processing unit configured to perform processing that is based on the indicator thus extracted.

Abstract: A biological information analysis device including: an indicator extraction unit that is configured to extract, from time-series data regarding blood pressure waveforms consecutively measured by a sensor that is configured to be worn on a body part of a user and to be capable of non-invasively measuring a blood pressure waveform for each heartbeat, data regarding blood pressure waveforms corresponding to a period of time in which a change in blood pressure occurs, and extract an indicator that is related to the functionality of respiratory organs of the user, based on characteristics of the blood pressure waveforms corresponding to the period of time; and a processing unit that performs processing that is based on the indicator thus extracted.

Abstract: A biological information analysis device includes: an indicator extraction unit configured to extract, from time-series data regarding blood pressure waveforms consecutively measured by a sensor that is configured to be worn on a body part of a user and to be capable of non-invasively measuring a blood pressure waveform for each heartbeat, and from time-series data regarding breathing measured by a respiration sensor during a period of time corresponding to the time-series data regarding blood pressure waveforms, an indicator indicating the relationship between the user's breathing and changes in blood pressure; and a processing unit configured to perform processing that is based on the indicator thus extracted.

Abstract: A biological information analyzing device includes: an indicator extraction unit that extracts an indicator pertaining to a characteristic of a blood pressure waveform using data of the blood pressure waveform obtained by a sensor, which is worn on a user's body and can non-invasively measure the blood pressure waveform for each of heartbeats, continuously measuring the blood pressure waveform; and a processing unit that carries out a process based on the extracted indicator.

Abstract: A biological information analysis device includes: an indicator extraction unit configured to acquire, from time-series data regarding blood pressure waveforms consecutively measured by a sensor that is configured to be worn on a body part of a user and to be capable of non-invasively measuring a blood pressure waveform for each heartbeat, data regarding a blood pressure waveform in a pre-exercise period that is a period of time before the user performs exercise, and data regarding a blood pressure waveform in a post-exercise period that is a period of time after the user performs the exercise, and extract an indicator indicating the influence of the exercise on the user's cardiac function, based on characteristics of the blood pressure waveform in the pre-exercise period and characteristics of the blood pressure waveform in the post-exercise period; and a processing unit configured to perform processing that is based on the indicator thus extracted.

Abstract: A biological information analyzing device includes: an indicator extraction unit that creates, on the basis of blood pressure waveform time series data measured by a sensor that is worn on a user's body and can non-invasively measure the blood pressure waveform for each of heartbeats, a multidimensional graphic by plotting a plurality of points of data constituting one or more blood pressure waveforms selected from the blood pressure waveform time series data in a multidimensional space constructed from a plurality of axes including at least two axes corresponding to two types of feature amounts extracted from the blood pressure waveform, and extracts an indicator pertaining to a shape characteristic of the multidimensional graphic; and a processing unit that carries out a process based on the extracted indicator.

Abstract: An image processing apparatus, which executes image processing for generating a virtual viewpoint image using a plurality of images captured by a plurality of imaging units that image an imaging space from different viewpoints, identifies a specific object among a plurality of objects inside the imaging space, and carries out image processing for generating the virtual viewpoint image on the plurality of objects inside the imaging space. The image processing apparatus executes the image processing on the identified specific object using images captured by more imaging units than in the image processing executed on other objects.

Abstract: A process analysis apparatus according to an aspect may include a first acquisition unit that acquires a plurality of pieces of state data related to states of a plurality of mechanisms that constitute a manufacturing line, a second acquisition unit that acquires a control program for controlling an operation of the manufacturing line, a first analyzer that analyzes the acquired plurality of pieces of state data so as to identify a connection state between the plurality of mechanisms, a second analyzer that analyzes the acquired control program so as to identify an order relationship between the plurality of mechanisms, and a relationship identifying unit that identifies a causal relationship between the plurality of mechanisms in a process that is carried out on the manufacturing line, based on the identified connection state and order relationship.

Abstract: A biological information measurement device includes: a pressure sensor which includes a plurality of pressure detecting elements arranged in one direction; a pressing mechanism which presses the pressure sensor against a wrist of a person to he measured; a biological information calculating section which calculates biological information based on information of pressure pulse waves which are detected by the pressure detecting elements; and a personal identifying section which determines whether the person to be measured is a registered user who is previously registered or not, based on data indicating relationships between information of pressure signals which are detected by the pressure detecting elements of the pressure sensor in a pressed state where the pressure sensor is pressed against the wrist by the pressing mechanism, and positions of the pressure detecting elements in the one direction.

Abstract: A biological information evaluation device which evaluates biological information measured from a person to be measured, and stored in a first storage section, includes: a biological information evaluating section which evaluates the biological information stored in the first storage section, based on reference data indicating a reference value of biological information in each of split time periods which are obtained by splitting one day into a plurality of time periods; and a reference data controller which controls the reference data to be used in evaluation of the biological information by the biological information evaluating section, based on at least calendar information at a measurement time of the biological information stored in the first storage section.

Abstract: An image processing apparatus that performs image processing on an image having light-field image data having a focus state that is changeable after shooting of the image. The image processing apparatus includes a processor and a memory storing a program which, when executed by the processor, causes the processor to function as a specifying unit configured to specify a trimming area of the image, an acquiring unit configured to acquire information indicating a depth position to be focused in the specified trimming area, a generating unit configured to generate edited light-field image data, a storing unit configured to store the information acquired by the acquiring unit together with the edited light-field image data, a focusing unit configured to bring the specified trimming area into focus, and an output unit configured to output an image that includes the specified trimming area that is brought into focus.

Abstract: A prediction model creation apparatus includes a feature amount acquisition unit that acquires values of types of feature amounts that are calculated from operating state data indicating an operating state of a production facility that produces a product, for both a normal time at which the production facility produces the product normally and a defective time at which a defect occurs in the product that is produced, a feature amount selection unit that selects a feature amount effective in predicting the defect from among the acquired types of feature amounts, based on a predetermined algorithm that specifies a degree of association between the defect and the types of feature amounts, from the values of the types of feature amounts acquired at the normal time and the defective time, and a prediction model construction unit that constructs a prediction model for predicting occurrence of the defect, using the selected feature amount.

Abstract: A trimming target specifying unit specifies a trimming target during editing of image data. A trimming area determining unit determines the specified target as a trimming area in an image. A trimming area analyzing unit analyzes image data in the trimming area determined by the trimming area determining unit. A focus range determining unit determines a focus range in accordance with the result of analysis by the trimming area analyzing unit. The focus range appending unit appends information about the focus range determined by the focus range determining unit to image data. A storage unit stores image data before and after trim editing and data appended thereto and a display unit displays the image data before and after trim editing.