Abstract: A method and a device for encoding/decoding images are disclosed. The method for encoding images comprises the steps of: deriving a scan type of a residual signal for a current block according to whether or not the current block is a transform skip block; and applying the scan type to the residual signal for the current block, wherein the transform skip block is a block to which transform for the current block is not applied and is specified on the basis of information indicating whether or not transform for the current block is to be applied.

Abstract: A parity interleaving apparatus and method for variable length signaling information are disclosed. A parity interleaving apparatus according to an embodiment of the present invention includes a processor configured to generate a parity bit string for parity puncturing by segmenting parity bits of an LDPC codeword whose length is 16200 and whose code rate is 3/15, into a plurality of groups, and group-wise interleaving the groups using an order of group-wise interleaving; and memory configured to provide the parity bit string for parity puncturing to a parity puncturing unit.

Abstract: Systems and methods for replicating vehicular illumination are disclosed. According to an aspect, a system includes a detector configured to sense light emitted by a host light of a host vehicle for detecting a lighting state of the host light. The system also includes a communications system configured to communicate the detected lighting state between the host light and the remote light. Further, the system includes a remote light being located on one of the host vehicle and an operator of the host vehicle and configured to replicate the lighting state of the host light.

Abstract: To provide an aldehyde scavenger and a method for removing aldehydes by using the same, for quickly and continuously capturing aldehydes. An aldehyde scavenger comprising at least one O-substituted hydroxylamine or at least one chemically acceptable salt thereof, is used against an aldehyde generation source.

Abstract: A fingerprint recognition method is provided. The method includes obtaining a plurality of fingerprint images by sensing a finger of a user, respectively calculating geometric center points corresponding to the fingerprint images, and calculating positions and offsets of the fingerprint images according to the geometric center points. The method also includes filling signals in the fingerprint images into a part of pixels in a pixel array according to the positions and the offsets of the fingerprint images, and obtaining signals of other pixels in the pixel array by inputting the signals filled in the part of pixels in the pixel array into an artificial intelligence engine. The method further includes generating a candidate fingerprint image and recognizing a user based on the candidate fingerprint image.

Abstract: A pixel structure includes an original light emitting diode die and a repairing light emitting diode die emitting light of a same color, and an extending conductor. The original light emitting diode die includes a first epitaxial layer, and a first electrode and a second electrode disposed at opposite sides of the first epitaxial layer. The repairing light emitting diode die includes a second epitaxial layer, and a third electrode and a fourth electrode disposed at a same side of the second epitaxial layer. The extending conductor includes a first portion, a second portion and a cut-off region. The first portion is electrically connected to the second electrode of the original light emitting diode die. The second portion is electrically connected to the third electrode of the repairing light emitting diode die. The cut-off region is located in the first portion or between the first portion and the second portion.

Abstract: Systems and methods for generating driving recommendations are disclosed herein. One embodiment divides automatically a roadway into a plurality of lane-level cells; generates a graph network that represents the plurality of lane-level cells; gathers information pertaining to one or more detected road agents; projects onto the graph network the gathered information pertaining to the one or more detected road agents to update a current status of the plurality of lane-level cells; processes the graph network based on the updated current status of the plurality of lane-level cells to predict a future status of the plurality of lane-level cells, the predicted future status including at least occupancy, by a detected road agent, of the respective lane-level cells in the plurality of lane-level cells; and generates a driving recommendation based, at least in part, on the predicted future status of the plurality of lane-level cells.

Abstract: Disclosed is a method of decoding an image and a method of encoding an image. The method of decoding an image includes: obtaining motion-constrained tile set information; determining, on the basis of the motion-constrained tile set information, a first boundary region of a collocated tile set within a reference picture, which corresponds to a motion-constrained tile set; padding a second boundary region corresponding to the first boundary region; and performing inter prediction on the motion-constrained tile set by using a collocated tile set that includes the padded second boundary region.

Abstract: Described are novel nicotine-binding antibodies and methods of using them for treating nicotine addiction and/or facilitating smoking cessation, or for treating nicotine overdose or nicotine poisoning.

Abstract: An operation method of a first terminal in a wireless distributed communication system using a synchronous TDMA scheme may comprise configuring a position of a first sub-slot in a frame of an information tone channel; detecting, by the first terminal in a sleep state, a first information tone signal transmitted from a second terminal in the first sub-slot; maintaining a state of the first terminal to the sleep state when the first information tone signal is not detected in the first sub-slot, and transitioning the state of the first terminal to a wake-up state when the first information tone signal is detected in the first sub-slot; and transmitting and receiving, by the first terminal having transitioned to the wake-up state, a data signal to and from the second terminal through a preconfigured data channel.

Abstract: An image encoding/decoding method is disclosed. An image decoding method of the present invention may comprise deriving an intra-prediction mode of a current block by using an intra-prediction mode of a neighbor block adjacent to the current block, configuring a reference sample of the current block, and performing intra-prediction on the current block by using the intra-prediction mode and the reference sample, wherein when the intra-prediction mode of the neighbor block is unavailable, the intra-prediction mode of the neighbor block may be replaced with a planar mode.

Abstract: A vehicle system including one or more sensors, a steering wheel including a rim and an adjusting mechanism for adjusting a coefficient of friction between a surface of the rim and a driver's hand, and a controller configured to determine whether a deviation factor between a target path and an actual path based on the one or more sensors exceeds a threshold deviation, send a first signal to the adjusting mechanism for operating to a first state in response to determining that the deviation factor exceeds the threshold deviation, the coefficient of friction being decreased when the adjusting mechanism is in the first state, and send a second signal to the adjusting mechanism for operating to a second state in response to determining that the deviation factor does not exceed the threshold deviation, the coefficient of friction being increased when the adjusting mechanism is in the second state.

Abstract: The disclosure provides a panel of biomarkers that individually or in combination can indicate the presence of sepsis as distinguishable from other non-infection related inflammatory conditions. The disclosed biomarkers and related reagents and kits provide strategies for detecting, treating, and monitoring sepsis in subjects. In aspect, the disclosure provides a method for detecting sepsis, comprising contacting a biological sample obtained from the subject with an affinity reagent that specifically binds to one or more of the disclosed novel biomarkers, and detecting differential expression of the one or more biomarkers by detecting binding of the affinity reagent to the biomarker. The method can incorporate use of additional known biomarkers. The method can further comprise treating a subject determined to have sepsis. In some embodiments, the subject is a human subject less than 20 years old.

Abstract: The present invention improves a heat dissipation property of a semiconductor device by transferring hexagonal boron nitride (hBN) with a two-dimensional nanostructure to the semiconductor device. A semiconductor device of the present invention includes a substrate having a first surface and a second surface, a semiconductor layer formed on the first surface of the substrate, an hBN layer formed on at least one surface of the first surface and the second surface of the substrate, and a heat sink positioned on the second surface of the substrate. A radiation rate of heat generated during driving of an element is increased to decrease a reduction in lifetime of a semiconductor device due to a temperature increase. The semiconductor device has a structure and configuration which are very effective in improving a rapid temperature increase due to heat generated by high-power semiconductor devices.

Abstract: Disclosed are an apparatus and a method for Internet of Things (IoT) device security. The method includes unifying a port in a first IoT device for communication, receiving, by the first IoT device, a packet from a second IoT device through the port, identifying whether the packet in the first IoT device is in a preset packet form, verifying content of the packet in the first IoT device when the packet is in the preset packet form, and opening the port for providing a service in the first IoT device when the verifying of the packet content is successful.

Abstract: System, methods, and other embodiments described herein relate to semi-supervised training of a depth model using a neural camera model that is independent of a camera type. In one embodiment, a method includes acquiring training data including at least a pair of training images and depth data associated with the training images. The method includes training the depth model using the training data to generate a self-supervised loss from the pair of training images and a supervised loss from the depth data. Training the depth model includes learning the camera type by generating, using a ray surface model, a ray surface that approximates an image character of the training images as produced by a camera having the camera type. The method includes providing the depth model to infer depths from monocular images in a device.

Abstract: The present invention relates to a stacking structure of a superconducting wire. The present invention provides a superconducting wire in which a metal substrate, a buffer layer, a superconducting layer, and a stabilizing layer are stacked, the superconducting wire including: a plurality of wedges which penetrates through the superconducting layer and the buffer layer to connect the stabilizing layer and the metal substrate. According to the present invention, it is possible to provide the superconducting wire of which mechanical strength is improved to have high resistance against to deterioration or delamination. Further, the present invention may provide the superconducting wire which is self-protectable against a quench phenomenon. Further, the present invention may provide the superconducting wire which is suitable for application of a high magnetic field.

Abstract: The present invention relates to an ultra-thin acoustic lens for subwavelength focusing in a megasonic range and a design method thereof. More particularly, the present invention relates to a super-oscillatory planar ultra-thin acoustic lens for subwavelength focusing in the megasonic range, which includes a plurality of concentric regions arranged in a concentric shape with reference to the center point, wherein the concentric regions include a plurality acoustic insulation region for insulating incident acoustic waves, and a plurality of transmission regions for transmitting acoustic waves, the acoustic insulation regions and the transmission regions being formed alternatively in a radial direction from the center point so as to focus incident acoustic wave energy onto a subwavelength region.

Abstract: An action to be performed by a vehicle in response to conflicting input signals can be determined. A sensor signal and an accelerator pedal signal can be received. The sensor signal can indicate a possible need to reduce a speed of the vehicle. The accelerator pedal signal can indicate that an accelerator pedal has been set to a position to increase the speed. An existence of first and second conditions can be determined. The first condition can be that a receipt of the accelerator pedal signal occurred concurrently with a receipt of the sensor signal. The second condition can be that a manner in which the accelerator pedal was set to the position is a better match to a brake pedal usage profile than to an accelerator pedal usage profile. In response to the existence of the first and the second conditions, a brake can be caused to be actuated.

Abstract: A neural architecture search system for generating a neural network includes one or more processors and a memory. The memory includes a generator module, a self-supervised training module, and an output module. The modules cause the one or more processors to generate a candidate neural network by a controller neural network, obtain training data, generate an output by the candidate neural network performing a specific task using the training data as an input, determine a loss value using a loss function that considers the output of the candidate neural network and at least a portion of the training data, adjust the one or more model weights of the controller neural network based on the loss value, and output the candidate neural network. The candidate neural network may be derived from the controller neural network and one or more model weights of the controller neural network.