Abstract: A charging controller includes an internal resistance measurement unit configured to measure an internal resistance of a rechargeable battery multiple times over a charging period of the rechargeable battery; a detection unit configured to detect a peak of the internal resistance based on a change in the internal resistance measured by the internal resistance measurement unit; and an update unit configured to update a full charge capacity of the rechargeable battery referring to the peak of the internal resistance detected by the detection unit.

Abstract: A charging controller includes a current measurement unit configured to measure a charging current of a rechargeable battery, a detection unit configured to detect switching from a constant current charge to a constant voltage charge based on the charging current measured by the current measurement unit, during charge of the rechargeable battery, and an update unit configured to update a full charge capacity of the rechargeable battery based on a charged capacity after the point in time, detected by the detection unit, of switching from the constant current charge to the constant voltage charge.

Abstract: A recognition device includes: an image generator configured to acquire a control signal for displaying an image on a display device of a machine tool, the control signal being output from a display control device of the machine tool, and generate an image to be displayed on the display device, based on the acquired control signal; and an information generator configured to recognize at least one of state and control content of the machine tool, contained in the image, and generate machine information.

Abstract: The present invention provides colloidal silica that exhibits excellent abrasiveness and contains, with high purity, deformed silica particles with excellent compactness and a large amount of alkoxy groups per unit area; the invention also provides a method for producing the colloidal silica in a simple manner with reduced costs. The invention provides colloidal silica containing silica particles having a bent structure and/or a branched structure, wherein the silica particles have a particle density of 1.95 or more, the silica particles have a ratio (m/n) of the content of alkoxy groups m (ppa) to the average primary particle size n (nm) of 200 or more, and the silica particles having a bent structure and/or a branched structure are present in an amount of 15% or more based on the number of particles in a given field of view as observed with a scanning electron microscope at 200,000-times magnification.

Abstract: A colloidal silica is disclosed that contains, with high purity, silica particles having an appropriate particle density, a high aggregation ratio, and a high alkoxy group content, and to provide a method for producing the colloidal silica in a simple manner at reduced costs. The colloidal silica containing silica particles is disclosed, wherein the silica particles have an average primary particle size of 33 nm or more, an aggregation ratio of 1.2 or more, and a particle density of 1.95 or more, the silica particles contain 1000 ppm by mass or more of alkoxy groups per gram of the silica particles, the proportion of the number of silica particles having an equivalent circle diameter under 20 nm is less than 15%, and the silica particles contain a primary amine in an amount of 5 ?mol or more per gram of the silica particles.

Abstract: A charging controller includes a current measurement unit configured to measure a charging current of a rechargeable battery, a detection unit configured to detect switching from a constant current charge to a constant voltage charge based on the charging current measured by the current measurement unit, during charge of the rechargeable battery, and an update unit configured to update a full charge capacity of the rechargeable battery based on a charged capacity after the point in time, detected by the detection unit, of switching from the constant current charge to the constant voltage charge.

Abstract: A machine learning device includes: a state observation unit that observes component arrangement data representing an arrangement of components on a component serving place, component data representing information of the components, and operator status data representing status information of an operator, as state variables representing a current state of an environment; a determination data acquisition unit that acquires product quality determination data for determining quality of the product which is assembled based on an arrangement of the components and takt time determination data for determining takt time for assembly of the product as determination data; and a learning unit that performs learning based on the state variables and the determination data in a manner to associate information of the components used for assembling the product and status information of the operator with respect to an arrangement of the components on the component serving place.

Abstract: A recognition device includes: an image generator configured to acquire a control signal for displaying an image on a display device of a machine tool, the control signal being output from a display control device of the machine tool, and generate an image to be displayed on the display device, based on the acquired control signal; and an information generator configured to recognize at least one of state and control content of the machine tool, contained in the image, and generate machine information.

Abstract: A controller includes a machine learning device that learns an operating parameter for an operation of bonding a radiation plate by a robot. The machine learning device observes operating parameter data and heat conductor state data as state variables that express a current state of an environment. In addition, the machine learning device acquires determination data indicating a propriety determination result of the operation of bonding the radiation plate, and learns the operating parameter in association with the heat conductor state data, using the state variables and the determination data.

Abstract: A machine learning device includes: a state observation unit that observes component arrangement data representing an arrangement of components on a component serving place, component data representing information of the components, and operator status data representing status information of an operator, as state variables representing a current state of an environment; a determination data acquisition unit that acquires product quality determination data for determining quality of the product which is assembled based on an arrangement of the components and takt time determination data for determining takt time for assembly of the product as determination data; and a learning unit that performs learning based on the state variables and the determination data in a manner to associate information of the components used for assembling the product and status information of the operator with respect to an arrangement of the components on the component serving place.

Abstract: A high-speed converter includes at least one converter among a first converter for converting an analog signal into a digital value; a second converter for converting a digital value into an analog signal; a third converter for converting an electrical signal into a digital signal; and a fourth converter for converting a digital signal into an electrical signal, and causes the at least one converter to operate by a method based on information acquired via a network.

Abstract: A numerical control apparatus which enables a numerical control apparatus for a machine tool suitable for executing a particular machining program to selectively execute the machining program. The numerical control apparatus includes a storage that stores unique information; a receiving part that receives a machining program including incidental information; a determination part that checks the incidental information included in the machining program received by the receiving part with the unique information stored in the storage, and determines whether information matching the unique information is included in the incidental information; and a machine controller that executes the machining program received by the receiving part to control the machine tool only when it is determined that information matching the unique information is included in the incidental information.

Abstract: A controller includes a machine learning device that learns an operating parameter for an operation of bonding a radiation plate by a robot. The machine learning device observes operating parameter data and heat conductor state data as state variables that express a current state of an environment. In addition, the machine learning device acquires determination data indicating a propriety determination result of the operation of bonding the radiation plate, and learns the operating parameter in association with the heat conductor state data, using the state variables and the determination data.

Abstract: To perform processing at a higher speed cycle. A high-speed converter (220) includes any conversion means (241, 251, 261, 271) among a first conversion means (241) for converting an analog signal into a digital value; a second conversion means (251) for converting a digital value into an analog signal; a third conversion means (261) for converting an electrical signal into a digital signal; and a fourth conversion means (271) for converting a digital signal into an electrical signal, and causes the conversion means (241, 251, 261, 271) that is included to operate by a method based on information acquired via a network (400).

Abstract: A numerical control apparatus which enables a numerical control apparatus for a machine tool suitable for executing a particular machining program to selectively execute the machining program. The numerical control apparatus includes a storage that stores unique information; a receiving part that receives a machining program including incidental information; a determination part that checks the incidental information included in the machining program received by the receiving part with the unique information stored in the storage, and determines whether information matching the unique information is included in the incidental information; and a machine controller that executes the machining program received by the receiving part to control the machine tool only when it is determined that information matching the unique information is included in the incidental information.

Abstract: This invention provides a dense, high-purity colloidal silica containing silica secondary particles having a branched and/or bent structure, and a production method thereof. Specifically, this invention provides a method for producing a colloidal silica, comprising the steps of 1) preparing a mother liquid containing an alkali catalyst and water, and having a pH of 9 to 12; and 2) adding a hydrolysis liquid obtained by hydrolysis of an alkyl silicate to the mother liquid, wherein the step of adding the hydrolysis liquid to the mother liquid sequentially comprises A) step 1 of adding the hydrolysis liquid until the pH of the resulting liquid mixture becomes less than 7; B) step 2 of adding an aqueous alkali solution until the pH of the liquid mixture becomes 7 or more; and C) step 3 of adding the hydrolysis liquid while maintaining the pH of the liquid mixture at 7 or more, and a colloidal silica containing silica secondary particles having a branched and/or bent structure, obtained by this method.

Abstract: This invention provides a dense, high-purity colloidal silica containing silica secondary particles having a branched and/or bent structure, and a production method thereof. Specifically, this invention provides a method for producing a colloidal silica, comprising the steps of 1) preparing a mother liquid containing an alkali catalyst and water, and having a pH of 9 to 12; and 2) adding a hydrolysis liquid obtained by hydrolysis of an alkyl silicate to the mother liquid, wherein the step of adding the hydrolysis liquid to the mother liquid sequentially comprises A) step 1 of adding the hydrolysis liquid until the pH of the resulting liquid mixture becomes less than 7; B) step 2 of adding an aqueous alkali solution until the pH of the liquid mixture becomes 7 or more; and C) step 3 of adding the hydrolysis liquid while maintaining the pH of the liquid mixture at 7 or more, and a colloidal silica containing silica secondary particles having a branched and/or bent structure, obtained by this method.