Abstract: The present invention relates to an integrated circuit for processing biosignals, a biosignal processing apparatus, and a biosignal processing system, and the integrated circuit includes: a digital conversion unit for converting an analog biosignal input through a biosignal input terminal into digital biodata; and an AI block for processing a plurality of biodatas converted through the digital conversion unit according to an artificial intelligence processing flow, and outputting a result data according to processing of the plurality of biodatas.

Abstract: A power management apparatus, includes an artificial intelligence (AI) controller configured to monitor a user pattern, based on frequency band selection information of all users using a base station, to predict the user pattern, and a DC-DC converter configured to output a supply voltage based on the predicted user pattern.

Abstract: Provided is a capsule for mounting a drone. The capsule for mounting a drone includes a body having a first space for accommodating a drone and a second space provided to surround at least a portion of the first space, a base portion provided in the first space so that a drone is mounted, and a valve provided in the body to open or close the second space so that external fluid is introduced into the second space.

Abstract: As inputs of a controller of a direct current (DC)-DC converter are sampled for a predetermined time and thus two-dimensional state information in which one axis is an input physical quantity and the other axis is a time is generated, the two-dimensional state information is processed by a convolutional neural network to determine and output one of a plurality of control signals. An artificial intelligence control part may operate in accordance with a plurality of operation conditions or dynamically determined operation conditions by applying different artificial intelligence engines according to operation modes.

Abstract: Provided is a power supply apparatus for self-powered device including a power module configured to supply first driving power, a sensor module configured to be operated by the first driving power, and an energy harvesting module configured to select energy power with a higher signal intensity from among energy power from energy sources and harvest energy using the selected energy power as second driving power.

Abstract: A current sensor automatically adjusting an offset voltage, includes an input corrector, upon receiving a first voltage, a second voltage, and a control signal, configured to correct either one or both of the first voltage and the second voltage to reduce an absolute value of a difference between the first voltage and the second voltage based on the control signal, and output a correction result; an input amplifier configured to amplify a voltage output from the input corrector; an output amplifier configured to generate an output voltage when a voltage amplified by the input amplifier is input; a controller including a switch connected to one of voltages amplified by the input amplifier to be grounded when a difference between the first voltage and the second voltage is larger than a first threshold value; and a correction circuit controller configured to generate the control signal to input to the input corrector.

Abstract: An intelligent ultrasonic system may include: a camera sensor unit configured to take an image of a road ahead of a driving vehicle; an ultrasonic signal input unit configured to receive an ultrasonic signal sensed through one or more ultrasonic sensors mounted on the vehicle; a feature extraction unit configured to extract a feature of the received ultrasonic signal; a data collision unit configured to collect one or more data related to a surrounding situation of the road on which the vehicle is driven; and a control unit configured to divide the surrounding situation into two or more classes based on the one or more data collected through the data collection unit, and change or reset an existing parameter to a parameter corresponding to any one class of the classes when the surrounding situation corresponds to the one class or is changed to the one class.

Abstract: A technology related to an electronic circuit, specifically, a phase locked loop or a frequency synthesizing apparatus, is disclosed. The frequency synthesizing apparatus includes an injection locked frequency divider and a replica frequency divider having the same circuit configuration as the injection locked frequency divider. A control value required for self-oscillating at a target frequency using the replica frequency divider is determined. When the injection locked frequency divider fails injection locking on a first attempt, the injection locking may be attempted using the determined control value. On the first attempt, the control value of the injection locked frequency divider may be determined and stored in advance according to a temperature and a supply voltage.

Abstract: A technology related to an electronic circuit, specifically, a phase locked loop or a frequency synthesizing apparatus, is disclosed. The frequency synthesizing apparatus includes an injection locked frequency divider and a replica frequency divider having the same circuit configuration as the injection locked frequency divider. A control value required for self-oscillating at a target frequency using the replica frequency divider is determined. When the injection locked frequency divider fails injection locking on a first attempt, the injection locking may be attempted using the determined control value. On the first attempt, the control value of the injection locked frequency divider may be determined and stored in advance according to a temperature and a supply voltage.

Abstract: A power management apparatus, includes an artificial intelligence (Al) controller configured to monitor a user pattern, based on frequency band selection information of all users using a base station, to predict the user pattern, and a DC-DC converter configured to output a supply voltage based on the predicted user pattern.

Abstract: The present invention relates to an integrated circuit for processing biosignals, a biosignal processing apparatus, and a biosignal processing system, and the integrated circuit includes: a digital conversion unit for converting an analog biosignal input through a biosignal input terminal into a digital biodata; and an AI block for processing a plurality of biodata converted through the digital conversion unit according to an artificial intelligence processing flow, and outputting a result data according to processing of the plurality of biodata.

Abstract: A current sensor automatically adjusting an offset voltage, includes an input corrector, upon receiving a first voltage, a second voltage, and a control signal, configured to correct either one or both of the first voltage and the second voltage to reduce an absolute value of a difference between the first voltage and the second voltage based on the control signal, and output a correction result; an input amplifier configured to amplify a voltage output from the input corrector; an output amplifier configured to generate an output voltage when a voltage amplified by the input amplifier is input; a controller including a switch connected to one of voltages amplified by the input amplifier to be grounded when a difference between the first voltage and the second voltage is larger than a first threshold value; and a correction circuit controller configured to generate the control signal to input to the input corrector.

Abstract: As inputs of a controller of a direct current (DC)-DC converter are sampled for a predetermined time and thus two-dimensional state information in which one axis is an input physical quantity and the other axis is a time is generated, the two-dimensional state information is processed by a convolutional neural network to determine and output one of a plurality of control signals. An artificial intelligence control part may operate in accordance with a plurality of operation conditions or dynamically determined operation conditions by applying different artificial intelligence engines according to operation modes.

Abstract: An intelligent ultrasonic system may include: a camera sensor unit configured to take an image of a road ahead of a driving vehicle; an ultrasonic signal input unit configured to receive an ultrasonic signal sensed through one or more ultrasonic sensors mounted on the vehicle; a feature extraction unit configured to extract a feature of the received ultrasonic signal; a data collision unit configured to collect one or more data related to a surrounding situation of the road on which the vehicle is driven; and a control unit configured to divide the surrounding situation into two or more classes based on the one or more data collected through the data collection unit, and change or reset an existing parameter to a parameter corresponding to any one class of the classes when the surrounding situation corresponds to the one class or is changed to the one class.

Abstract: An intelligent ultrasonic system may include: a camera sensor unit configured to take an image of a road ahead of a driving vehicle; an ultrasonic signal input unit configured to receive an ultrasonic signal sensed through one or more ultrasonic sensors mounted on the vehicle; a feature extraction unit configured to extract a feature of the received ultrasonic signal; a data collision unit configured to collect one or more data related to a surrounding situation of the road on which the vehicle is driven; and a control unit configured to divide the surrounding situation into two or more classes based on the one or more data collected through the data collection unit, and change or reset an existing parameter to a parameter corresponding to any one class of the classes when the surrounding situation corresponds to the one class or is changed to the one class.

Abstract: An intelligent ultrasonic system may include: a camera sensor unit configured to take an image of a road ahead of a driving vehicle; an ultrasonic signal input unit configured to receive an ultrasonic signal sensed through one or more ultrasonic sensors mounted on the vehicle; a feature extraction unit configured to extract a feature of the received ultrasonic signal; a data collision unit configured to collect one or more data related to a surrounding situation of the road on which the vehicle is driven; and a control unit configured to divide the surrounding situation into two or more classes based on the one or more data collected through the data collection unit, and change or reset an existing parameter to a parameter corresponding to any one class of the classes when the surrounding situation corresponds to the one class or is changed to the one class.

Abstract: A piezoelectric fiber composite and a magnetoelectric laminate composite including the same are disclosed. The piezoelectric fiber composite includes a first protective layer having a first electrode, a second protective layer having a second electrode, and a piezoelectric fiber layer formed between the first and the second electrode and having piezoelectric fibers arranged in the longitudinal direction of the composite, wherein the piezoelectric fibers include a single-crystal piezoelectric material and are configured such that a <011> direction of the single crystal is identical to a thickness direction of the composite and a <001> direction of the single crystal is identical to a longitudinal direction of the composite, thus exhibiting superior piezoelectric strain properties and sensing properties.

Abstract: Disclosed is a magnetoelectric (ME) composite including both a piezoelectric material and a magnetostrictive material, wherein a piezoelectric single crystal material having high piezoelectric properties is used as the piezoelectric material, and a metal magnetostrictive material having high magnetostrictive properties is used as the magnetostrictive material, thus achieving an ME composite having a layered structure via adhesion. When the ME layered composite is manufactured such that a <011> crystal orientation of the piezoelectric single crystal material is set to a thickness direction, high ME voltage coefficient, which is at least doubled, compared to a conventional <001> crystal orientation, can be obtained, and such an effect is further maximized in the resonance of the composite.

Abstract: A piezoelectric fiber composite and a magnetoelectric laminate composite including the same are disclosed. The piezoelectric fiber composite includes a first protective layer having a first electrode, a second protective layer having a second electrode, and a piezoelectric fiber layer formed between the first and the second electrode and having piezoelectric fibers arranged in the longitudinal direction of the composite, wherein the piezoelectric fibers include a single-crystal piezoelectric material and are configured such that a <011> direction of the single crystal is identical to a thickness direction of the composite and a <001> direction of the single crystal is identical to a longitudinal direction of the composite, thus exhibiting superior piezoelectric strain properties and sensing properties.

Abstract: The present invention relates to granules of a brittle material for room-temperature granule spray in vacuum, and to a method for forming a coating film using same. Particularly, particles having a size of 0.1 to 6 ?m are granulated and a coating film may be formed through room-temperature granule spray in vacuum using the granules. The granules of the brittle material according to exemplary embodiments may be used through the vacuum granule injection at room temperature and a coating process may be continuously performed. Since the granules injected through a nozzle have a relatively large mass and thus have a large amount of kinetic energy, the coating film may be formed at a low gas-flow rate, and the forming rate of the coating film may be increased. Therefore, the granules may be useful for forming a ceramic coating film.