Abstract: A control device for an injection molding machine that performs a metering of a resin while the resin is being melted inside a cylinder, includes a pressure acquisition unit that acquires a pressure of the resin, a reverse rotation control unit that causes a screw to be rotated in reverse so as to reduce the pressure of the resin, after the screw has been moved rearward to a predetermined metering position, a judgment unit that judges whether or not the pressure of the resin has reached a predetermined rearward movement initiation pressure, after the reverse rotation of the screw is started, and a rearward movement control unit which causes the screw to be moved rearward, in the case it is judged that the pressure of the resin has reached the rearward movement initiation pressure.

Abstract: A control device for an injection molding machine is equipped with a pressure acquisition unit that acquires a pressure of a resin inside a cylinder, a reverse rotation control unit that causes a screw to be rotated in reverse based on a predetermined reverse rotation condition so as to reduce the resin pressure after having moved the screw rearward to a metering position, a compensation amount calculation unit that calculates a compensation amount to be made with respect to the reverse rotation condition, based on the resin pressure inside the cylinder acquired by the pressure acquisition unit when the reverse rotation of the screw is stopped, and a predetermined compensation function, and a compensation processing unit configured to compensate the reverse rotation condition based on the compensation amount calculated by the compensation amount calculation unit.

Abstract: An injection molding machine includes: a first driving device rotating a screw provided inside a heating cylinder; a second driving device moving the screw forward and backward; a metering control section configured to, by controlling the first driving device and the second driving device, to meter resin while melting the resin, and thereafter rotate the screw in reverse to thereby reduce the pressure of the resin; a first sensor unit for detecting the pressure; a second sensor unit for detecting one or more kinds of physical quantities that affect the change of the pressure; and a prediction section predicting decompressing rotation information based on the pressure detected by the first sensor unit and the one or more kinds of physical quantities detected by the second sensor unit. The metering control section controls the first driving device based on the decompressing rotation information predicted by the prediction section.

Abstract: To realize miniaturization of a pixel, reduction in noise, and high quantum efficiency, and to improve short-wavelength sensitivity while suppressing inter-pixel interference and variations for each pixel. According to the present disclosure, there is provided an imaging device including: a first semiconductor layer formed in a semiconductor substrate; a second semiconductor layer of a conductivity type opposite to a conductivity type of the first semiconductor layer formed on the first semiconductor layer; a pixel separation unit which defines a pixel region including the first semiconductor layer and the second semiconductor layer; a first electrode which is connected to the first semiconductor layer from one surface side of the semiconductor substrate; and a second electrode which is connected to the second semiconductor layer from a light irradiation surface side that is the other surface of the semiconductor substrate, and is formed to correspond to a position of the pixel separation unit.

Abstract: A bioelectrode includes a fitting member (1106) formed by an electrically insulating member fixed on a surface of a garment (1100) that comes in contact with a living body (1000), an electrode part (1101a) formed by a conductive member fixed on a surface of the fitting member (1106) that comes in contact with the living body (1000), a connector (1102a) fixed to the fitting member (1106) and configured to connect a bioelectric signal measurement device, a wiring line (1103a) fixed to the fitting member (1106) and configured to electrically connect the connector (1102a) and the electrode part (1101a), and an electrically-insulating insulating member (1105) configured to cover a portion within the surface of the wiring line (1103a) that comes in contact with the living body (1000).

Abstract: The present technology relates to a solid-state imaging device and electronic equipment to suppress degradation of Dark characteristics. A photoelectric converting unit configured to perform photoelectric conversion, and a PN junction region including a P-type region and an N-type region on a side of a light incident surface of the photoelectric converting unit are included. Further, on a vertical cross-section, the PN junction region is formed at three sides including a side of the light incident surface among four sides enclosing the photoelectric converting unit. Further, a trench which penetrates through a semiconductor substrate in a depth direction and which is formed between the photoelectric converting units each formed at adjacent pixels is included, and the PN junction region is also provided on a side wall of the trench. The present technology can be applied, for example, to a backside irradiation type CMOS image sensor.

Abstract: To realize miniaturization of a pixel, reduction in noise, and high quantum efficiency, and to improve short-wavelength sensitivity while suppressing inter-pixel interference and variations for each pixel. According to the present disclosure, there is provided an imaging device including: a first semiconductor layer formed in a semiconductor substrate; a second semiconductor layer of a conductivity type opposite to a conductivity type of the first semiconductor layer formed on the first semiconductor layer; a pixel separation unit which defines a pixel region including the first semiconductor layer and the second semiconductor layer; a first electrode which is connected to the first semiconductor layer from one surface side of the semiconductor substrate; and a second electrode which is connected to the second semiconductor layer from a light irradiation surface side that is the other surface of the semiconductor substrate, and is formed to correspond to a position of the pixel separation unit.

Abstract: A state determination device acquires data on an industrial machine, extracts data used for processing related to machine learning from the acquired data, out of the acquired data, according to an extraction condition for extracting the data, and executes the processing related to the machine learning using the extracted data.

Abstract: A state determination device acquires data on an industrial machine, creates a plurality of pieces of partial time-series data obtained by sliding time-series data on physical quantities out of the data on the industrial machine in the direction of a time axis, based on the acquired data, extracts a plurality of pieces of data for learning including the plurality of pieces of partial time-series data, and performs machine learning using the extracted learning data, thereby generating a learning model.

Abstract: A state judgment device includes: a data acquisition unit which acquires data related to an industrial machine; an energy state calculation unit which calculates an energy state related to driving of units of the industrial machine on the basis of the data related to the industrial machine acquired by the data acquisition unit; and an abnormal state estimation unit which estimates, on the basis of the energy state related to driving of the units of the industrial machine calculated by the energy state calculation unit, whether operation of the industrial machine is normal or abnormal.

Abstract: A state determination device acquires data on an injection molding machine and stores conditions for classifying the acquired data on the injection molding machine and a plurality of learning models. The state determination device further classifies the acquired data based on the stored classification conditions and settles a learning model to which the classified data are applied, among the plurality of stored learning models. Subsequently, the state determination device performs machine learning for the learning model settled as an application destination, based on the classified data.

Abstract: A state determination device that determines an operation state of an injection molding machine stores respective specification data of a reference injection molding machine and an injection molding machine that is different from the reference injection molding machine, and acquires data related to the injection molding machine. Then, the state determination device converts the acquired data into yardstick data by a conversion formula set for every type of data, by using the stored specification data of the reference injection molding machine and the stored specification data of the injection molding machine and performs machine learning using the yardstick data obtained through the conversion so as to generate a learning model.

Abstract: A state determination device is capable of assisting maintenance for various injection molding machines. The state determination device acquires data related to an injection molding machine, performs numeric conversion for extracting a feature in a temporal direction or an amplitude direction, with respect to time-series data of physical quantity in the acquired data, and performs machine learning using the data obtained through numeric conversion so as to generate a learning model.

Abstract: A state determination device acquires data related to an injection molding machine, stores a learning model obtained by learning an operation state of the injection molding machine with respect to the data, and performs estimation using the learning model based on the data. Further, the state determination device acquires a correction coefficient, which is associated with a type of the injection molding machine and equipment attached to the injection molding machine and numerically converts and corrects the estimation result with a predetermined correction function to which the acquired correction coefficient is applied.

Abstract: In an injection molding machine of the present invention formed to have a plurality of injection apparatuses connected via a communication channel, a first injection apparatus among the plurality of injection apparatuses includes a display apparatus, a first control apparatus included in the first injection apparatus includes an operation screen input/output unit which obtains operation screen data from another injection apparatus and a rendering attribute converting unit which converts rendering attributes of rendering elements configuring an operation screen to be rendered based on the operation screen data. When an operation screen of the other injection apparatus is displayed on the display apparatus based on the operation screen data, the rendering attribute converting unit makes all or part of the rendering attributes of the rendering elements configuring the operation screen different from rendering attributes when an operation screen of the first injection apparatus is displayed.

Abstract: A fabric includes an A side mainly configured by yarns made of fibers capable of being dyed within color coordinates and in a luminance factor defined in ISO 20471; and a B side mainly configured by blended spinning yarns made of flame-retardant fibers having a self-extinguishing property and non-melting fibers.

Abstract: To realize miniaturization of a pixel, reduction in noise, and high quantum efficiency, and to improve short-wavelength sensitivity while suppressing inter-pixel interference and variations for each pixel. According to the present disclosure, there is provided an imaging device including: a first semiconductor layer formed in a semiconductor substrate; a second semiconductor layer of a conductivity type opposite to a conductivity type of the first semiconductor layer formed on the first semiconductor layer; a pixel separation unit which defines a pixel region including the first semiconductor layer and the second semiconductor layer; a first electrode which is connected to the first semiconductor layer from one surface side of the semiconductor substrate; and a second electrode which is connected to the second semiconductor layer from a light irradiation surface side that is the other surface of the semiconductor substrate, and is formed to correspond to a position of the pixel separation unit.

Abstract: A state determination device includes: a primary determination learning model that has learned an outline of a state of a manufacturing device based on a state variable acquired from a manufacturing operation of a product of the manufacturing device; and a secondary determination learning model that has learned a state of the manufacturing device based on a state variable acquired from a predetermined operation pattern set in advance and maintenance information. Then, a primary determination is made on the outline of the state of the manufacturing device using the primary determination learning model based on the state variable acquired from the manufacturing operation of the product, and further, a secondary determination is made on the state of the manufacturing device using the secondary determination learning model based on the state variable acquired from the predetermined operation pattern.

Abstract: A state determination apparatus for determining a state related to an abnormality of an injection molding machine based on an operation state of the injection molding machine includes a machine learning apparatus for learning the state related to the abnormality of the injection molding machine. The machine learning apparatus observes, as a state variable that represents a current state of an environment, injection data that indicates the operation state of the injection molding machine, acquires label data that indicates the state related to the abnormality of the injection molding machine, and performs learning by associating the observed state variable with the acquired label data.

Abstract: An injection molding machine includes first and second injection units. When it is detected that the first injection unit malfunctions, information that notifies the other injection unit (that is, second injection unit) the fact that the first injection unit is malfunctioning is outputted. The second injection unit that has acquired the malfunction information from the first injection unit carries out a malfunction process based on a preset malfunction process setting corresponding to other-injection-unit malfunction information.