Abstract: Provided are a grain-oriented electrical steel sheet having excellent iron loss property without using magnetic domain refining treatment and an iron core produced using the same. The steel sheet comprises: a predetermined chemical composition; and a steel microstructure in which: crystal grains are made up of coarse secondary recrystallized grains of 5.0 mm or more, fine grains of more than 2.0 mm and less than 5.0 mm contained at a frequency of 0.2 to 5 grains per cm2, and very fine grains of 2.0 mm or less; for each coarse secondary recrystallized grain extending through the sheet in a thickness direction, an area ratio of a region in which projected surfaces of exposed areas of the coarse secondary recrystallized grain on a front side and a back side of the sheet coincide with each other to each of the exposed areas is 95% or more.

Abstract: In a production of a grain-oriented electrical steel sheet comprising hot rolling a raw steel material, cold rolling, decarburization annealing, applying an annealing separator composed mainly of MgO, finish annealing and magnetic domain subdividing, the annealing separator including certain compounds, and the finish annealing conducted by holding the steel sheet at a temperature of 800 to 950° C. for 10 to 100 hours and passing a dry gas containing not less than 1 vol % of H2 and having a dew point of not higher than 10° C. to reach a furnace pressure of not less than 3.5 mmH2O from not lower than 1050° C. to a purification treatment temperature, so that a pickling weight loss of undercoat film by pickling with HCl is not more than 1.8 g/m2 and the total concentration of Sn, Sb, Mo, and W on a boundary face between the film and iron matrix is 0.01 to 0.15 mass %.

Abstract: An information processing apparatus includes a control unit that performs control according to a result of recognition of a user located near a presentation screen on which an object is presented, and a result of detection of a shooting preparation movement of the user, to present a given object such that the given object does not overlap a recognition area of the user.

Abstract: An information processing apparatus includes a control unit that performs control according to a result of recognition of a user located near a presentation screen on which an object is presented, and a result of detection of a shooting preparation movement of the user, to present a given object such that the given object does not overlap a recognition area of the user.

Abstract: Provided are a high-strength galvanized steel sheet having excellent delayed fracture resistance by reducing the diffusible hydrogen content in the steel and a method for producing the same. The high-strength galvanized steel sheet includes a steel sheet having a prescribed composition and a microstructure including martensite and tempered martensite, the total area fraction of the martensite and the tempered martensite being 30% or more, and a galvanizing layer formed on the surface of the steel sheet. The diffusible hydrogen content in the high-strength galvanized steel sheet is 0.50 wt. ppm or less. The half-width of the hydrogen release peak of the high-strength galvanized steel sheet is 70° C. or less. The diffusible hydrogen content and the half-width of the hydrogen release peak are determined by a prescribed analysis method.

Abstract: A time-series data processing device (10) includes: a protruding data extracting unit (2) for extracting, from time-series data (1) which is a sequence of values obtained from sequential observation with the elapse of time, protruding data including an ascending leg a value of which continuously rises with respect to time and a descending leg a value of which continuously drops with respect to time; an occurrence pattern defining unit (3) for defining an occurrence pattern of protruding data in the time-series data (1); and an occurrence pattern detecting unit (4) for detecting, as a segment (5), one or more pieces of protruding data matching the occurrence pattern defined by the occurrence pattern defining unit (3), from among a set of pieces of protruding data extracted by the protruding data extracting unit (2).

Abstract: A principal component calculating unit (13) for calculating a principal component of a plurality of sensor data collected from a device, and a physical quantity for failure determination calculating unit (11) for calculating a physical quantity to be used for failure determination on the basis of the plurality of sensor data are provided. Further, an operation state classification unit (14) for generating classification, for each operation state, of the sensor data collected from the device, using the principal component calculated by the principal component calculating unit (13) and the physical quantity calculated by the physical quantity for failure determination calculating unit (11) is provided.

Abstract: A semiconductor device according to an embodiment of the present disclosure includes an output driver including a first variable resistor element, a replica circuit including a second variable resistor element and having the same configuration as the output driver, a first wiring line coupled to an output end of the replica circuit; a second wiring line electrically coupled to a first external terminal; and a comparator that compares a voltage of the first wiring line with a voltage of the second wiring line.

Abstract: To provide a user interface capable of efficiently accessing to information presented in the past. An information processing apparatus includes a detection unit, a control unit, and an output unit. The detection unit detects behavior of a user. The control unit determines a current interest object of the user depending on the detected behavior and sequentially generates display information including content corresponding to the determined interest object. The output unit outputs the generated display information. The control unit optimizes a display mode of the display information depending on a change in the determined interest object on a basis of content of an interest object in the past of the user outputted from the output unit and content of the current interest object.

Abstract: Provided are a high-strength galvanized steel sheet having excellent delayed fracture resistance by reducing the diffusible hydrogen content in the steel and a method for producing the same. The high-strength galvanized steel sheet includes a steel sheet having a prescribed composition and a microstructure including martensite and tempered martensite, the total area fraction of the martensite and the tempered martensite being 30% or more, and a galvanizing layer formed on the surface of the steel sheet. The diffusible hydrogen content in the high-strength galvanized steel sheet is 0.50 wt. ppm or less. The half-width of the hydrogen release peak of the high-strength galvanized steel sheet is 70° C. or less. The diffusible hydrogen content and the half-width of the hydrogen release peak are determined by a prescribed analysis method.

Abstract: A time-series data processing device (10) includes: a protruding data extracting unit (2) for extracting, from time-series data (1) which is a sequence of values obtained from sequential observation with the elapse of time, protruding data including an ascending leg a value of which continuously rises with respect to time and a descending leg a value of which continuously drops with respect to time; an occurrence pattern defining unit (3) for defining an occurrence pattern of protruding data in the time-series data (1); and an occurrence pattern detecting unit (4) for detecting, as a segment (5), one or more pieces of protruding data matching the occurrence pattern defined by the occurrence pattern defining unit (3), from among a set of pieces of protruding data extracted by the protruding data extracting unit (2).

Abstract: An initial segment set generation unit (120) generates an initial segment set (F) from training time-series data (S). An initial segment set sorting unit (130) sorts initial segments included in the initial segment set by the order of feature quantities. A sample segment set generation unit (140) generates a sample segment set (E) from the initial segment set. A sample segment set sorting unit (150) sorts sample segments included in the sample segment set by the order of the feature quantities. A search result distance calculation unit (160) calculates a search result distance (Z) for each of test segments by using the sample segment set.

Abstract: A principal component calculating unit (13) for calculating a principal component of a plurality of sensor data collected from a device, and a physical quantity for failure determination calculating unit (11) for calculating a physical quantity to be used for failure determination on the basis of the plurality of sensor data are provided. Further, an operation state classification unit (14) for generating classification, for each operation state, of the sensor data collected from the device, using the principal component calculated by the principal component calculating unit (13) and the physical quantity calculated by the physical quantity for failure determination calculating unit (11) is provided.

Abstract: A rechargeable battery includes a battery case, a cover that closes an open end of the battery case, and a power collection terminal arranged on the cover to supply power from a power generating element to an external terminal. The power collection terminal extends through a gasket arranged on a lower surface of the cover, an insulator arranged on an upper surface of the cover, and the external terminal arranged on an upper surface of the insulator. An annular sealing member is held between the lower surface of the cover and the gasket. The insulator is a resin-molded component. The insulator includes a through hole defined by an inner wall that includes a lower open end, an upper open end, and a central portion. At least one of the lower open end and the upper open end has a larger diameter than the central portion.

Abstract: A quality control apparatus (20) includes: a regression analyzer (33) for calculating a regression formula on the basis of measurement values acquired from an upstream step and comparative measurement values acquired from a downstream step; a margin determination unit (34) for calculating a prediction value by substituting a determination reference value defining a determination reference range in the upstream step for an explanatory variable of the regression formula, comparing the prediction value with a comparative determination reference range in a downstream step, and determining whether the measurement values are accepted; and a reference value calculator (35) for calculating a new determination reference value to replace the determination reference value in accordance with the determination result.