Abstract: A headset including an in-ear microphone is disclosed, the headset including a first frame including a first surface toward a first direction, a second surface toward a second direction opposite to the first direction, and a side surface surrounding at least part of a space between the first surface and the second surface, a speaker seating portion formed by recessing by a specific depth from a first portion of the first surface toward the second surface, a space formed between the speaker seating portion and the second surface, a speaker hole penetrated from the speaker seating portion to the space, a microphone hole penetrated from a second portion of the first surface to the space, an acoustic hole formed by penetrating the second surface from the space, a speaker seated in the speaker seating portion, a first printed circuit board disposed on the second portion and having a via hole connected with the microphone hole, a second printed circuit board electrically connected with the first printed circuit boa

Abstract: The disclosure relates to a method of controlling a dog clutch by a DC motor configured to move the dog clutch via an actuator arm). The dog clutch including at least one gear having one or more dogs configured to engage one or more dogs of a sliding sleeve). The method includes supplying the DC motor with a pulse width modulated voltage having a duty cycle which is provided by a control algorithm). The control algorithm includes a trajectory planner generating a desired position of the actuator arm based on a 4th order trajectory planning algorithm and a motion controller based on the sliding mode theory for tracking the desired arm position.

Abstract: Methods, systems, and apparatuses, including computer programs for detecting pancreatic neoplasms. A method includes providing an image as an input to a first model, obtaining first output data generated by the first model based on the first model's processing of the image, the first output data representing a portion of the image that depicts a pancreas, providing the first output data as an input to a second model, obtaining second output data generated by the second model based on the second model's processing of the second input data, the second output indicating whether the depicted pancreas is normal or abnormal, providing the first output data and the second output data as an input to a third model, and obtaining third output data generated by the third model, the third output data including data indicating that the pancreas is normal or data indicating a likely location of a pancreatic neoplasm.

Abstract: Systems, methods, and apparatus for segmenting internal structures depicted in an image. In one aspect, a method includes receiving data representing image data that depicts internal structures of a subject, providing an input data structure to a machine learning model, wherein the input data structure comprises fields structuring data that represents the received data representing the image data that depicts internal structures of the subject, wherein the machine learning model is a multi-stage deep convolutional network that has been trained to segment internal structures depicted by one or more images, receiving output data generated by the machine learning model based on the machine learning model's processing of the input data structure, and processing the output data to generate rendering data that, when rendered, a computer, causes the computer to output, for display, data that visually distinguishes between different internal structures depicted by the image data.

Abstract: The disclosure relates to a method of controlling a dog clutch by a DC motor configured to move the dog clutch via an actuator arm). The dog clutch including at least one gear having one or more dogs configured to engage one or more dogs of a sliding sleeve). The method includes supplying the DC motor with a pulse width modulated voltage having a duty cycle which is provided by a control algorithm). The control algorithm includes a trajectory planner generating a desired position of the actuator arm based on a 4th order trajectory planning algorithm and a motion controller based on the sliding mode theory for tracking the desired arm position.