Abstract: An abnormality analysis device including: an overall information obtainer that obtains overall information indicating an overall feature amount of a manufacturing system; an overall abnormal degree calculator that calculates an overall abnormal degree that is an abnormal degree of a whole of the manufacturing system by statistically processing the overall information; an individual information obtainer that obtains individual information indicating a feature amount of each of the plurality of constituent elements; an individual abnormal degree calculator that calculates an individual abnormal degree that is an abnormal degree of each of the plurality of constituent elements by statistically processing the individual information; and a determiner that determines whether or not the overall abnormal degree exceeds a threshold value, wherein the individual abnormal degree calculator calculates the individual abnormal degree when the determiner determines that the overall abnormal degree exceeds the threshold valu

Abstract: An abnormality in a manufacturing system is detected without extensive modification to the existing manufacturing systems. The data analysis device includes: a receiver configured to receive a packet transmitted between a manufacture control device and a manufacturing device; an analyzer configured to obtain the type of data included in a payload of the received packet from an IP address and a port number included in a header of the packet; a selector configured to select, based on the type of the data obtained by the analyzer, a syntax or rule corresponding to the type of the data; and a determiner configured to determine that the manufacturing system has an abnormality if the data included in the payload does not follow the syntax or rule corresponding to the type of the data.

Abstract: The fatigue degree estimation device includes: an R-wave detection unit that detects an R-wave from an electrocardiogram waveform of a subject; an R-R interval calculation unit that calculates an R-R interval which is a time interval between the R-wave detected by the R-wave detection unit and an immediately preceding R-wave; a difference calculation unit that calculates a difference between the R-R intervals away from each other by a certain heart rate; a percentage calculation unit that calculates a percentage of an absolute value of the difference between the R-R intervals exceeding a certain value in a target period of fatigue degree estimation; and a fatigue degree estimation unit that estimates a fatigue degree of the subject based on the percentage.

Abstract: A method includes a first acquisition step of acquiring exercise intensity of exercise done by a target person, a second acquisition step of acquiring an electrocardiographic waveform of the target person who does the exercise, a third acquisition step of acquiring a predetermined feature amount from the acquired electrocardiographic waveform, and an estimation step of estimating an AT of the target person based on a relationship between the predetermined feature amount and the acquired exercise intensity. The estimation step includes a step of estimating the AT of the target person based on exercise intensity corresponding to an inflection point in a change of the predetermined feature amount with respect to the acquired exercise intensity.

Abstract: An exercise intensity estimation apparatus includes an RS wave calculation unit configured to calculate an RS amplitude from a peak value of an R wave to a peak value of an S wave in an ECG waveform of a target person, a T wave calculation unit configured to calculate an amplitude of a T wave of the ECG waveform, a heart rate calculation unit configured to calculate a heart rate from the ECG waveform, an index calculation unit configured to calculate, as a first index indicating exercise intensity of the target person, the amplitude of the T wave normalized by the RS amplitude, and an index calculation unit configured to calculate, as a second index indicating the exercise intensity of the target person, a value obtained by multiplying the first index by the heart rate.

Abstract: A method includes a first acquisition step of acquiring a heart rate of a target person who does exercise, a second acquisition step of acquiring an electrocardiographic waveform of the target person who does the exercise, a third acquisition step of acquiring a predetermined feature amount from the acquired electrocardiographic waveform, and an estimation step of estimating a maximum heart rate of the target person based on a relationship between the predetermined feature amount and the acquired heart rate. In the estimation step, the maximum heart rate of the target person is estimated based on a heart rate corresponding to an inflection point in a change of the predetermined feature amount with respect to the acquired heart rate.

Abstract: A management device for managing a component mounter that mounts components onto a substrate using some of constituent elements each selected from one of constituent element groups each including the constituent elements. One group is a nozzle group including nozzles. The device includes: a true displacement amount calculator that calculates, for each target component which is the component, a true amount of displacement which is a sum of (i) an amount of pickup displacement being an amount of displacement between the target component and a target nozzle being one of the nozzles and picks up the target component and (ii) an amount of correction being an amount of offset of a position of the target nozzle when picking up the target component; and a statistical processor that performs parameter estimation for a predetermined statistical model using the true amount to calculate a degree of malfunction of each constituent element.

Abstract: An exercise load estimation method includes a measurement step of measuring a heart rate of a target person who exercises, and an estimation step of estimating an exercise load on the target person based on the measured heart rate and a length of a measurement period in which the heart rate was measured. The estimation step includes an exercise intensity calculation step of calculating an exercise intensity of the target person from the heart rate measured in the measurement step, and an exercise load calculation step of calculating the exercise load based on the calculated exercise intensity and the length of the measurement period.

Abstract: A display device that displays productivity of a manufacturing facility that performs processes to manufacture products, wherein the manufacturing facility includes constituent element groups, each including constituent elements, constituent elements selected from the constituent element groups perform a corresponding one of the processes. The display device includes: an obtainer that obtains manufacturing log information from the manufacturing facility; a calculator that calculates an indicator showing productivity of each combination of a first constituent element and a second constituent element, based on the manufacturing log information; and a display that displays the indicator showing the productivity of each combination at a position of an intersection point corresponding to the combination on a productivity indicator map including a vertical axis along which first constituent elements are arranged and a horizontal axis along which second constituent elements are arranged.

Abstract: Power demand control is performed without a decrease in productivity. A device for performing electric power demand control includes: a processor; and a storage medium including an instruction for causing the processor to obtain a sum of energy consumption of a plurality of manufacturing devices, obtain a production capacity from production information on each manufacturing device, and perform electric power demand control on a manufacturing system based on the production capacity and the sum of energy consumption. To perform electric power control includes determining that electric power demand control is necessary if the sum of energy consumption reaches a predetermined threshold and excluding one of the manufacturing devices having a smallest production capacity from a target of electric power demand control.

Abstract: A semiconductor device includes a first laminated body and a second laminated body. The first laminated body includes sequentially a first element, a first wiring layer, and a first connection layer that includes a first junction electrode, on a main surface of a first substrate. The second laminated body includes sequentially a second element, a second wiring layer, and a second connection layer that includes a second junction electrode, on a main surface of a semiconductor substrate. The first laminated body and the second laminated body are bonded by directly bonding the first junction electrode and the second junction electrode with the two junction electrodes facing each other. A space region is formed at a part of a junction interface between the first laminated body and the second laminated body.

Abstract: An abnormality in a manufacturing system is detected without extensive modification to the existing manufacturing systems. The data analysis device includes: a receiver configured to receive a packet transmitted between a manufacture control device and a manufacturing device; an analyzer configured to obtain the type of data included in a payload of the received packet from an IP address and a port number included in a header of the packet; a selector configured to select, based on the type of the data obtained by the analyzer, a syntax or rule corresponding to the type of the data; and a determiner configured to determine that the manufacturing system has an abnormality if the data included in the payload does not follow the syntax or rule corresponding to the type of the data.

Abstract: A residual anaerobic work capacity calculating method includes a step (S1) of obtaining a heart rate, and a step (S2, S3) of calculating a residual anaerobic work capacity based on the obtained heart rate and a relationship between the residual anaerobic work capacity and the heart rate. This method need only measure the heart rate when calculating the residual anaerobic work capacity, and obviates the need to measure power by using an expensive power meter.

Abstract: An article-storage simulation device includes an acquisition unit that acquires a size of each of the plurality of articles and a size of the storage container. A simulator determines the number of storage containers to be used for storing the articles and a number of articles to be stored by calculation. The calculation uses the acquired size of the articles and the acquired size of the container. The simulator (i) places the article in the container, (ii) determines whether a next article can be placed in the container after the article is placed, and (iii) in a case where the simulator determines that the next article can be placed, places the next article in the container after the article is placed and in a case where the simulator determines that the next article cannot be placed, adds a next container to be used for storing the next article.

Abstract: An optical signal processing device with a transponder aggregator function by which theoretical loss is not increased even if the number of necessary transponders is increased. Optical signals inputted from input ports are inputted to a PLC. The PLC has SBTs. The input ports are connected to the input-end SBT, and a plane wave is outputted from an output end of the PLC to the space side at an angle different for each input port. Optical signals outputted by the PLC are changed in their optical paths on the x-z plane by a cylindrical lens (Lsp) designed to refract optical signals in the x-axis direction, and are reflected by an LCOS at different regions corresponding to the positions of the input port. The reflected optical signals are incident on the output-end SBTs on the PLC, and are outputted to output ports via demultiplex parts.

Abstract: An end face observation device (101) of this invention includes a first lens (12) including a missing portion (1200) extending through in an optical axis direction, a light source (14) configured to generate light that irradiates an end face (200A) of an observation target via the first lens, and an image capturing element (15) configured to receive an image of the end face of the observation target via the first lens. This can implement an end face observation device that integrates a structure configured to operate the end face of the observation target with an observation device configured to observe the end face by inserting the structure configured to operate the end face of the observation target into the missing portion of the first lens.

Abstract: The present invention provides an optical signal processing device with a transponder aggregator function by which theoretical loss is not increased even if the number of necessary transponders is increased. Optical signals inputted from input ports are inputted to a PLC. The PLC has SBTs. The input ports are connected to the input-end SBT, and a plane wave is outputted from an output end of the PLC to the space side at an angle different for each input port. Optical signals outputted by the PLC are changed in their optical paths on the x-z plane by a cylindrical lens (Lsp) designed to refract optical signals in the x-axis direction, and are reflected by an LCOS at different regions corresponding to the positions of the input port. The reflected optical signals are incident on the output-end SBTs on the PLC, and are outputted to output ports via demultiplex parts.

Abstract: A detection device is used with a vehicle including a cabin, a ceiling, pillars, a driver seat, and a passenger seat. The detection device includes a detector disposed on the ceiling or the pillars of the vehicle and detecting an object in the cabin while not contacting the object, and a scanning unit that moves the detector for scan. The detection device can detect a temperature of the object accurately, and control air-conditioning comfortably to the object.

Abstract: An optical connector cleaning tool includes a cylindrical connecting portion to which an optical connector is connected, a cleaning unit configured to guide a cleaning thread to a coupling end face of an optical connector plug, and an optical unit having an optical path reaching the optical connector plug. The optical unit includes a lens arranged in a position facing the coupling end face to form one end portion of an optical system, and having a missing portion extending in an optical-axis direction, and an image sensor positioned at the other end of the optical system. The cleaning unit includes a rod-like cleaning tip having a thread passage through which the cleaning thread passes. The cleaning tip is inserted into a hollow portion of the lens having the missing portion extending in the optical-axis direction, such that the cleaning tip is movable in a longitudinal direction thereof.

Abstract: To provide an optical signal processing device that can collect light from an input waveguide to form a beam array having a small diameter. The optical signal processing device includes input waveguides 302a to 302c, an array waveguide 305 and a slab waveguide 304 that is connected to a first arc 304a having the single point C as a center and input waveguides 302a to 302c and that is connected to a second arc 404b having the single point C as a center and an array waveguide 305.