Abstract: Disclosed is a method of processing a residual signal for audio coding and an audio coding apparatus. The method learns a feature map of a reference signal through a residual signal learning engine including a convolutional layer and a neural network and performs learning based on a result obtained by mapping a node of an output layer of the neural network and a quantization level of index of the residual signal.

Abstract: Provided is a method and apparatus for selective energy transmission in a wireless network. The method for selective energy transmission performed by a terminal in a wireless network includes selecting a transmission request frame for requesting data transmission or a transmission request frame for requesting data transmission and energy reception based on a remaining energy of the terminal; performing a channel contention based on a contention window; receiving a transmission acknowledgement frame by transmitting the selected transmission request frame to a hybrid access point; and transmitting data to the hybrid access point or receiving energy from the hybrid access point according to the transmitted transmission request frame.

Abstract: An interior bike system includes: an interior bike including a rotational angle detection sensor sensing a pedal rotation angular speed; a motion recognition sensor recognizing a head or upper body motion of a player; a heart rate measurement sensor measuring a heart rate of the player; a controller receiving and transferring sensing signals of the rotational angle detection sensor, the motion recognition sensor, and the heart rate measurement sensor to a web server; the web server determining whether performing the task motion given to the player is successful based on the signal of the motion recognition sensor of the controller, and generating a content image to which whether the player succeeds in performing the task motion is reflected and transmitting the generated content image to the content controller; and a display unit displaying an image transmitted from the web server through the controller.

Abstract: A method for remote communication based on a real-time translation service according to an embodiment of the present disclosure, as a method for providing remote communication based on a real-time translation service by a real-time translation application executed by at least one or more processors of a computing device, comprises performing augmented reality-based remote communication; setting an initial value of a translation function for the remote communication; obtaining communication data of other users through the remote communication; performing language detection for the obtained communication data; when a target translation language is detected within the communication data from the performed language detection, translating communication data of the target translation language detected; and providing the translated communication data.

Abstract: Provided are an ultrasound imaging apparatus and a method of processing an ultrasound image. The ultrasound imaging apparatus includes a display configured to display a moving image consisting of a plurality of ultrasound images that are played back according to a time order together with at least one icon, corresponding to at least one piece of change information for changing a display of at least one of the plurality of ultrasound images, in association with the time order.

Abstract: A method and apparatus for rendering a volume sound source are disclosed. The method of rendering a volume sound source may include identifying information about a listener and information about the volume sound source, determining a corresponding area in which a source element is disposed in the volume sound source in consideration of the information about the listener, determining an angle between the listener and the corresponding area based on the information about the listener and the information about the volume sound source, determining a number of source elements disposed in the corresponding area according to the angle, determining a position and a gain of the source element using i) the number of source elements and ii) a distance between the listener and the volume sound source, and rendering the volume sound source according to the position and the gain of the source element.

Abstract: Disclosed are methods of encoding and decoding an audio signal using side information, and an encoder and a decoder for performing the methods. The method of encoding an audio signal using side information includes identifying an input signal, the input signal being an original audio signal, extracting side information from the input signal using a learning model trained to extract side information from a feature vector of the input signal, encoding the input signal, and generating a bitstream by combining the encoded input signal and the side information.

Abstract: Techniques for speech processing using a deep neural network (DNN) based acoustic model front-end are described. A new modeling approach directly models multi-channel audio data received from a microphone array using a first model (e.g., multi-geometry/multi-channel DNN) that includes a frequency aligned network (FAN) architecture. Thus, the first model may perform spatial filtering to generate a first feature vector by processing individual frequency bins separately, such that multiple frequency bins are not combined. The first feature vector may be used similarly to beamformed features generated by an acoustic beamformer. A second model (e.g., feature extraction DNN) processes the first feature vector and transforms it to a second feature vector having a lower dimensional representation. A third model (e.g., classification DNN) processes the second feature vector to perform acoustic unit classification and generate text data. The DNN front-end enables improved performance despite a reduction in microphones.

Abstract: Disclosed are a method for coding a residual signal of LPC coefficients based on collaborative quantization and a computing device for performing the method. The residual signal coding method includes: generating encoded LPC coefficients and LPC residual signals by performing LPC analysis and quantization on an input speech; Determining a predicted LPC residual signal by applying the LPC residual signal to cross module residual learning; Performing LPC synthesis using the coded LPC coefficients and the predicted LPC residual signal; It may include the step of determining an output speech that is a synthesized output according to a result of performing the LPC synthesis.

Abstract: Provided is an electrolyte solution for a lithium secondary battery, the electrolyte solution comprising a non-aqueous organic solvent, a lithium salt, and an additive, wherein the additive includes a compound represented by Chemical Formula 1. The contents of Chemical Formula 1 are the same as described in the specification.

Abstract: A communication device of a vehicle transmits a charging permission request message to a server and receives charging permission information from the server. A charging requester is configured to transmit a charging request message including the charging permission information to a charging device and a power receiver is configured to receive a charging response message from the charging device and to wirelessly receive power from the charging device.

Abstract: An embodiment comprises: a lens module; a first optical path change part including an incident surface and an emitting surface, and reflecting light, which is incident onto the incident surface, to emit the light via the emitting surface; and a second optical path change part including a first surface which faces the emitting surface in an optical axial direction of the lens module and a second surface which is an opposite surface to the first surface, wherein, in order to change the path of light emitted via the emitting surface, the first optical path change part is tilted or rotated about a first axis perpendicular to the optical axial direction, and, in order to change the path of light emitted from the second surface, the second optical path change part is tilted or rotated about a second axis perpendicular to the optical axial direction and the first axis.

Abstract: A lens moving apparatus includes a housing for supporting a first magnet, a bobbin, which includes a first coil provided on an outer surface thereof and which moves in a first direction, a support member, which is disposed over one side surface of the housing, and which supports the bobbin and the housing such that the bobbin and the housing are movable in second and/or third directions, which are perpendicular to the first direction, a second coil, which is disposed over the housing, and which is spaced apart from the support member by a predetermined distance and which generates an electromagnetic force to move the support member in the second and/or third directions, and a printed circuit board disposed over the second coil.

Abstract: A storage device includes a memory device including a plurality of memory areas respectively corresponding to a plurality of address groups each of which includes consecutive logical addresses provided by a host, a buffer memory including a common buffer and a plurality of zone buffers, the plurality of zone buffers respectively corresponding to the plurality of memory areas, and a memory controller for controlling the buffer memory to temporarily store write data corresponding to a logical address provided from the host in one of a zone buffer corresponding to the logical address and the common buffer according to whether a first size of the write data exceeds an available storage capacity of the zone buffer, the available storage capacity representing a size of an empty storage space of the zone buffer in which no data is stored.

Abstract: An audio signal encoding and decoding method using a neural network model, and an encoder and decoder for performing the same are disclosed. A method of encoding an audio signal using a neural network model, the method may include identifying an input signal, generating a quantized latent vector by inputting the input signal into a neural network model encoding the input signal, and generating a bitstream corresponding to the quantized latent vector, wherein the neural network model may include i) a feature extraction layer generating a latent vector by extracting a feature of the input signal, ii) a plurality of downsampling blocks downsampling the latent vector, and iii) a plurality of quantization blocks performing quantization of a downsampled latent vector.

Abstract: Embodiments of the present disclosure relate to a memory system and an operating method of the memory system. According to embodiments of the present disclosure, a memory system may store, for each of the plurality of memory dies, a program fail count indicating a cumulative number of occurrences of a program fail during a program operation for each memory die, and may change, for a target memory die among the plurality of memory dies, a first operation parameter among operation parameters applied to the target memory die when executing a program operation on the target memory die, based on a target program fail count which is the program fail count for the target memory die.

Abstract: A method of training a malicious code detection model and a method of detecting a malicious code. The method includes acquiring application programming interface (API) call information of called functions from a result log of performing dynamic analysis of a malicious code, calculating time intervals between timestamps using the timestamps which indicate API call times extracted from the API call information, determining a feature value of the malicious code on the basis of the time intervals, and training the malicious code detection model using an API call sequence included in the API call information and the feature value.

Abstract: An object of the present invention is to provide a return service method for enabling quick return processing by using a waybill of a special form in which return information is included and return boxes scattered in multiple regions.

Abstract: While operating a vehicle on a travel path, a width of the travel path is determined based on a map. Upon detecting a presence or an absence of a target vehicle in the travel path, a lateral position for the vehicle on the travel path is determined based on the width of the travel path and the presence or absence of the target vehicle. The vehicle is controlled to operate according to the determined lateral position on the travel path and a speed of the vehicle that is based on the determined lateral position on the travel path.

Abstract: A semiconductor device is provided. The semiconductor device includes a substrate a bit line structure disposed on the substrate, a trench adjacent to at least one side of the bit line structure, a storage contact structure disposed within the trench, and comprising a storage contact, a silicide layer, and a storage pad which are stacked sequentially. A spacer structure is disposed between the bit line structure and the storage contact structure.