Abstract: An electronic device includes a substrate with a conductive structure and a substrate encapsulant. The conductive structure has a lead with a lead via and a lead protrusion. The lead via can include via lateral sides defined by first concave portions and the lead protrusion can include protrusion lateral sides defined by second concave portions. The substrate encapsulant covers the first concave portions at a first side of the substrate but not the second concave portions so that the lead protrusion protrudes from the substrate encapsulant at a second side of the substrate. An electronic component can be adjacent to the first side of the substrate and electrically coupled to the conductive structure. A body encapsulant encapsulates portions of the electronic component and the substrate. The lead can further include a lead trace at the second side of the substrate.

Abstract: An encoding/decoding apparatus and method for controlling a channel signal is disclosed, wherein the encoding apparatus may include an encoder to encode an object signal, a channel signal, and rendering information for the channel signal, and a bit stream generator to generate, as a bit stream, the encoded object signal, the encoded channel signal, and the encoded rendering information for the channel signal.

Abstract: A coil component includes a body having a first surface, and a first end surface and a second end surface connected to the first surface and opposing each other in a length direction; a support substrate disposed inside the body; a coil portion comprising a first coil pattern and first and second lead-out patterns, each disposed on a first surface of the support substrate; first and second slit portions, respectively defined on edge portions of the first surface of the body to expose the first and second lead-out patterns; and first and second external electrodes disposed on the first and second slit portions to be connected to the first and second lead-out patterns. At least one of the first and second lead-out patterns has a thickness greater than a thickness of each of the first coil pattern and the first dummy lead-out pattern.

Abstract: Disclosed is an apparatus and method for processing a multichannel audio signal. A multichannel audio signal processing method may include: generating an N-channel audio signal of N channels by down-mixing an M-channel audio signal of M channels; and generating a stereo audio signal by performing binaural rendering of the N-channel audio signal.

Abstract: A processor-implemented method includes generating a preprocessed infrared (IR) image by performing first preprocessing based on an IR image including an object; generating a preprocessed depth image by performing second preprocessing based on a depth image including the object; and determining whether the object is a genuine object based on the preprocessed IR image and the preprocessed depth image

Abstract: A razor assembly is proposed. The razor assembly may include a blade housing configured to receive at least one or more shaving blades in a longitudinal direction. The razor assembly may also include a connector disposed on the rear side of the blade housing and a spin housing coupled to the connector. The razor assembly may further include a fixing housing coupled to the spin housing and configured to render the spin housing to be rotatable about a first rotational axis perpendicular to the longitudinal direction. The razor assembly may further include a first restoring force-providing unit configured to provide a restoring force for restoring the spin housing to a first rest position when the spin housing is rotated about the first rotational axis relative to the fixing housing.

Abstract: A secondary battery comprises an electrode assembly, a can, and an insulator. The electrode assembly includes a first electrode, a separator, and a second electrode alternately stacked and wound. The can has an accommodation part accommodating the electrode assembly therein, and the can comprises a first can and a second can having cylindrical shapes open in a direction facing each other. The insulator insulates an overlapping portion between the first can and the second can. The first can is electrically connected to the first electrode, and the second can is electrically connected to the second electrode. The insulator has a short-circuit induction through-part defined by a through-hole or a cutoff line, such that a short circuit occurs between the first can and the second can through the short-circuit induction through-part when it is deformed in shape as heat or a pressure is applied to contract or expand the insulator.

Abstract: A coil component is provided. The coil component includes a body having fifth and sixth surfaces opposing each other, first and second surfaces respectively connecting the fifth and sixth surfaces of the body and opposing each other, and third and fourth surfaces respectively connecting the first and second surfaces of the body and opposing each other in one direction, a recess disposed in an edge between one of the first and second surfaces of the body and the sixth surface of the body, a coil portion disposed inside the body and exposed through the recess, and an external electrode including a connection portion disposed in the recess and connected to the coil portion, and a pad portion disposed on one surface of the body. A length of the pad portion in the one direction is greater than a length of the connection portion in the one direction.

Abstract: A processor-implemented method includes: generating a preprocessed infrared (IR) image by performing first preprocessing based on an IR image including an object; generating a preprocessed depth image by performing second preprocessing based on a depth image including the object; and determining whether the object is a genuine object based on the preprocessed IR image and the preprocessed depth image.

Abstract: Disclosed is a method and apparatus for testing a liveness, where the liveness test method includes receiving a color image and a photodiode (PD) image of an object from an image sensor comprising a pixel formed of a plurality of PDs, preprocessing the color image and the PD image, and determining a liveness of the object by inputting a result of preprocessing the color image and a result of preprocessing the PD image into a neural network.

Abstract: A processor-implemented method with liveness detection includes: receiving a plurality of phase images of different phases; generating a plurality of preprocessed phase images by performing preprocessing, including edge enhancement processing, on the plurality of phase images of different phases; generating a plurality of differential images based on the preprocessed phase images; generating a plurality of low-resolution differential images having lower resolutions than the differential images, based on the differential images; generating a minimum map image based on the low-resolution differential images; and performing a liveness detection on an object in the phase images based on the minimum map image.

Abstract: A processor-implemented method with liveness detection includes: receiving a plurality of phase images of different phases; generating a plurality of preprocessed phase images by performing preprocessing, including edge enhancement processing, on the plurality of phase images of different phases; generating a plurality of differential images based on the preprocessed phase images; generating a plurality of low-resolution differential images having lower resolutions than the differential images, based on the differential images; generating a minimum map image based on the low-resolution differential images; and performing a liveness detection on an object in the phase images based on the minimum map image.

Abstract: Disclosed is a method and apparatus for testing a liveness, where the liveness test method includes receiving a color image and a photodiode (PD) image of an object from an image sensor comprising a pixel formed of a plurality of PDs, preprocessing the color image and the PD image, and determining a liveness of the object by inputting a result of preprocessing the color image and a result of preprocessing the PD image into a neural network.

Abstract: A method with liveness testing may include: acquiring an infrared (IR) image including an object, and a depth image including the object; generating a first preprocessed IR image by performing first edge enhancement preprocessing on the IR image; generating a preprocessed depth image by performing second edge enhancement preprocessing on the depth image; and determining whether the object is a genuine object based on the first preprocessed IR image and the preprocessed depth image.

Abstract: Disclosed is a method and apparatus for testing a liveness, where the liveness test method includes receiving a color image and a photodiode (PD) image of an object from an image sensor comprising a pixel formed of a plurality of PDs, preprocessing the color image and the PD image, and determining a liveness of the object by inputting a result of preprocessing the color image and a result of preprocessing the PD image into a neural network.

Abstract: A processor-implemented method including implementing a deep neural network (DNN) model using input data, generating, by implementing the DNN model, first output data from the DNN model, changing the DNN model, generating, by implementing the changed DNN model using the input data, second output data of the changed DNN model, and determining result data by combining the first output data and the second output data.

Abstract: A method with image recognition includes: extracting, using a feature extraction layer, feature data from an input image received by an image sensor; and outputting a recognition result of an object appearing in the input image, by applying a fixed mask and a variable mask to the extracted feature data, wherein the variable mask is adjusted in response to the extracted feature data.

Abstract: A method with liveness testing may include: acquiring an infrared (IR) image including an object, and a depth image including the object; generating a first preprocessed IR image by performing first edge enhancement preprocessing on the IR image; generating a preprocessed depth image by performing second edge enhancement preprocessing on the depth image; and determining whether the object is a genuine object based on the first preprocessed IR image and the preprocessed depth image.

Abstract: A method and apparatus for detecting a liveness based on a phase difference are provided. The method includes generating a first phase image based on first visual information of a first phase, generating a second phase image based on second visual information of a second phase, generating a minimum map based on a disparity between the first phase image and the second phase image, and detecting a liveness based on the minimum map.