Abstract: An electronic device is provided. The electronic device includes a housing, a battery disposed inside the housing, a power management module for controlling charging of the battery, and at least one processor operationally connected with the battery and the power management module. The at least one processor is provided to direct a plurality of charging intervals while charging the battery, each of the plurality of charging intervals having a target voltage, to alternately charge the battery in a first mode and in a second mode through the power management module, wherein a charging current flowing into the battery is uniformly maintained in the first mode and a voltage of the battery is uniformly maintained in the second mode, and to switch the first mode to the second mode when the voltage of the battery reaches the target voltage in the first mode.

Abstract: In one example, a robotic system is disclosed that includes a plurality of components coupled together, a plurality of motors operable to move the plurality of components, a controller in electrical communication with the plurality of motors to generate control signals to actuate movement of the plurality of components, wherein the controller is configured to: receive a first set of control signals operative to generate a defined motion for the plurality of components, analyze the first set of control signals to determine a second set of control signals operative to define a retargeted motion for the plurality of components, wherein the retargeted motion suppresses vibrations of the plurality of components as compared to the defined motion, and provide the second set of control signals to the plurality of motors to actuate the retargeted motion by the plurality of components.

Abstract: A robot control method, and associated robot controllers and robots operating with such methods and controllers, providing real-time vibration suppression. The control method involves learning to support real-time, vibration-suppressing control. The method uses state-of-the-art machine learning techniques in conjunction with a differentiable dynamics simulator to yield fast and accurate vibration suppression. Vibration suppression using offline simulation approaches that can be computationally expensive may be used to create training data for the controller, which may be provide by a variety of neural network configurations. In other cases, sensory feedback from sensors onboard the robot being controlled can be used to provide training data to account for wear of the robot's components.

Abstract: A robot control method, and associated robot controllers and robots operating with such methods and controllers, providing real-time vibration suppression. The control method involves learning to support real-time, vibration-suppressing control. The method uses state-of-the-art machine learning techniques in conjunction with a differentiable dynamics simulator to yield fast and accurate vibration suppression. Vibration suppression using offline simulation approaches that can be computationally expensive may be used to create training data for the controller, which may be provide by a variety of neural network configurations. In other cases, sensory feedback from sensors onboard the robot being controlled can be used to provide training data to account for wear of the robot's components.

Abstract: Methods are provided for sharpening or otherwise modifying compressed images without decompressing and re-encoding the images. An overall image quality is determined based on the source of the compressed image, the quantization table of the compressed image, or some other factor(s), and a set of scaling factors corresponding to the image quality is selected. The selected scaling factors are then applied to corresponding quantization factors of the image's quantization table or other parameters of the compressed image that describe the image contents of the compressed image. The scaling factors of a given set of scaling factors can be determined by a machine learning process that involves training the scaling factors based on training images determined by decompressing and then sharpening or otherwise modifying a source set of compressed images. These methods can provide improvements with respect to encoded image size and computational cost of the image modification method.

Abstract: A system for sensing and controlling eye contact for a robot. The system includes a robotic figure with a movable eye. The system includes a light source positioned in the robotic figure to output light through a light outlet of the eye. A light sensor is included that senses light striking surfaces in a physical space in which the robotic figure is positioned including the output light from the light source. The system includes an image processor processing output of the light sensor to identify a location of a target formed by the output light striking surfaces in the physical space and to identify a location of a face of a human. Further, the system includes a robot controller generating eye movement control signals based on the location of the target and the location of the face to position the eye to provide eye contact with the human observer.

Abstract: A system for sensing and controlling eye contact for a robot. The system includes a robotic figure with a movable eye. The system includes a light source positioned in the robotic figure to output light through a light outlet of the eye. A light sensor is included that senses light striking surfaces in a physical space in which the robotic figure is positioned including the output light from the light source. The system includes an image processor processing output of the light sensor to identify a location of a target formed by the output light striking surfaces in the physical space and to identify a location of a face of a human. Further, the system includes a robot controller generating eye movement control signals based on the location of the target and the location of the face to position the eye to provide eye contact with the human observer.

Abstract: Methods are provided for sharpening or otherwise modifying compressed images without decompressing and re-encoding the images. An overall image quality is determined based on the source of the compressed image, the quantization table of the compressed image, or some other factor(s), and a set of scaling factors corresponding to the image quality is selected. The selected scaling factors are then applied to corresponding quantization factors of the image's quantization table or other parameters of the compressed image that describe the image contents of the compressed image. The scaling factors of a given set of scaling factors can be determined by a machine learning process that involves training the scaling factors based on training images determined by decompressing and then sharpening or otherwise modifying a source set of compressed images. These methods can provide improvements with respect to encoded image size and computational cost of the image modification method.

Abstract: Disclosed is a micro viscometer comprising a substrate having a first chamber and a second chamber that are positioned at intervals; a thin film disposed on the substrate to cover the first chamber and the second chamber; an actuating part that disposed on the thin film corresponding to the first chamber; and a sensing part that disposed on the thin film corresponding to the second chamber, wherein at least one main trench is formed in between the first chamber and the second chamber.

Abstract: Disclosed is a micro viscometer comprising a body including an inlet where a fluid flows in, an outlet where the fluid flows out, a first chamber and a second chamber that is connected to the inlet and the outlet, respectively, a substrate and a cover that partition multiple micro channels that connect the first chamber and the second chamber; a first thin film that vibrates with the fluid within the first chamber and locates on the side of the first chamber; a second thin film that vibrates with the fluid within the second chamber and locates on the side of the second chamber; an actuating part that applies vibration onto the fluid within the first chamber by conducting vibration through the first thin film; a sensing part that senses vibration or pressure onto the fluid that transfers through the micro channels to the second thin film through vibration of the first thin film.

Abstract: A sound sensor, a hydrophone including the sound sensor, and a pressure balancing device for using for the hydrophone are provided. The hydrophone includes: a sensor including a sensing part and a pressure balancing part; a printed circuit board (PCB) that is electrically connected to the sensor; a case that houses the sensor and the PCB and that has an opening at one side thereof; an elastic membrane that covers the opening of the case; and a signal line that is electrically connected to the PCB to be extended to the outside of the case. The pressure balancing part includes a diaphragm of a thin film and a support that supports the diaphragm. A pressure balancing hole is formed at one side of the pressure balancing part, and at the inside of the pressure balancing part, a channel that is connected to the pressure balancing hole is formed, and a compressible gas is filled in the channel.

Abstract: Disclosed is a micro viscometer comprising a first chamber and a second chamber positioned with an interval; a micro channel that connects the first chamber and the second chamber; and a first thin film and a second thin film arranged on top of the first chamber and the second chamber, respectively, wherein a height of the first chamber and second chamber are substantially identical to a half wavelength corresponding a first resonant frequency of the first thin film and the second thin film, respectively, and a width of the first chamber and the second chamber are narrower than the height of the first chamber and the second chamber.

Abstract: Channel assignment for access points (APs) in a wireless network includes determining a bottleneck client in an interference relationship, and determining a channel assignment for the APs that maximizes a normalized throughput of the bottleneck client. The normalized throughput is assigned to the bottleneck client, and the bottleneck client is assigned to a fixed set.

Abstract: Disclosed is a micro viscometer comprising a substrate having a first chamber and a second chamber that are positioned at intervals; a thin film disposed on the substrate to cover the first chamber and the second chamber; an actuating part that disposed on the thin film corresponding to the first chamber; and a sensing part that disposed on the thin film corresponding to the second chamber, wherein at least one main trench is formed in between the first chamber and the second chamber.

Abstract: Disclosed is a micro viscometer comprising a body including an inlet where a fluid flows in, an outlet where the fluid flows out, a first chamber and a second chamber that is connected to the inlet and the outlet, respectively, a substrate and a cover that partition multiple micro channels that connect the first chamber and the second chamber; a first thin film that vibrates with the fluid within the first chamber and locates on the side of the first chamber; a second thin film that vibrates with the fluid within the second chamber and locates on the side of the second chamber; an actuating part that applies vibration onto the fluid within the first chamber by conducting vibration through the first thin film; a sensing part that senses vibration or pressure onto the fluid that transfers through the micro channels to the second thin film through vibration of the first thin film.

Abstract: Disclosed is a micro viscometer comprising a first chamber and a second chamber positioned with an interval; a micro channel that connects the first chamber and the second chamber; and a first thin film and a second thin film arranged on top of the first chamber and the second chamber, respectively, wherein a height of the first chamber and second chamber are substantially identical to a half wavelength corresponding a first resonant frequency of the first thin film and the second thin film, respectively, and a width of the first chamber and the second chamber are narrower than the height of the first chamber and the second chamber.

Abstract: A sound sensor, a hydrophone including the sound sensor, and a pressure balancing device for using for the hydrophone are provided. The hydrophone includes: a sensor including a sensing part and a pressure balancing part; a printed circuit board (PCB) that is electrically connected to the sensor; a case that houses the sensor and the PCB and that has an opening at one side thereof; an elastic membrane that covers the opening of the case; and a signal line that is electrically connected to the PCB to be extended to the outside of the case. The pressure balancing part includes a diaphragm of a thin film and a support that supports the diaphragm. A pressure balancing hole is formed at one side of the pressure balancing part, and at the inside of the pressure balancing part, a channel that is connected to the pressure balancing hole is formed, and a compressible gas is filled in the channel.

Abstract: Channel assignment for access points (APs) in a wireless network includes determining a bottleneck client in an interference relationship, and determining a channel assignment for the APs that maximizes a normalized throughput of the bottleneck client. The normalized throughput is assigned to the bottleneck client, and the bottleneck client is assigned to a fixed set.