Abstract: A transformer-based amplifier, an operating method thereof, and devices including the same are disclosed. A millimeter wave amplifier includes a first transformer positioned on an input side of the millimeter wave amplifier, a second transformer positioned on an output side of the millimeter wave amplifier, and one or more of amplification stages positioned between the first transformer and the second transformer.

Abstract: Disclosed herein are an apparatus and method for providing a remote work environment. The apparatus includes one or more processors and executable memory for storing at least one program executed by the one or more processors. The at least one program performs Virtual Private Network (VPN) authentication in response to a request for remote access to a work network from a user terminal, performs user authentication in order to connect the user terminal that succeeds in VPN authentication to the work network, decrypts the encrypted user data area of the user terminal that is connected to the work network, and provides the remote work environment to the user terminal based on the user data area through the work network.

Abstract: The present invention solves difficulties in constructing a dialogue corpus, ensures the accuracy of a system utterance, and evaluates a user utterance in a dialogue technology for language learning and a knowledge-grounded dialogue technology, in which a system and method is capable of helping a learner in language learning by constructing a language learning dialogue corpus using passages and exercises commonly used in language education and learning sites, training a dialogue model and a dialogue evaluation model with the language learning dialogue corpus, and allowing a user and a system to have a dialogue on the basis of a given passage. It is expected that it will be possible to implement a dialogue system for language learning that is capable of performing evaluation and easily expanding a domain (expansion of learning content).

Abstract: Disclosed herein are an apparatus and method for detecting a keypoint based on deep learning robust to scale changes based on information change across receptive fields. The apparatus for detecting a keypoint based on deep learning robust to scale changes based on information change across receptive fields includes a feature extractor for extracting a feature from an input image based on a pre-trained deep learning neural network, an information accumulation pyramid module for outputting, from the feature, at least two filter responses corresponding to receptive fields having different scales, an information change detection module for calculating an information change between the at least two filter responses, a keypoint detection module for creating a score map having a keypoint probability of each pixel based on the information change, and a continuous scale estimation module for estimating a scale of a receptive field having a biggest information change for each pixel.

Abstract: Disclosed are a frame transmission method using a selective beamforming and a communication apparatus to perform the frame transmission method. The communication apparatus may determine a beamforming matrix based on classification information in which a plurality of subcarriers used for communication is classified into a plurality of frequency units, may map a long training field (LTF) sequence to the beamforming matrix, and transmit a beamforming training (BF-T) frame including the mapped LTF sequence to a plurality of stations, may receive, from the plurality of stations having receiving the BF-T frame, feedback information generated based on a reception strength of the BF-T frame, and may allocate frequency units to data frames to be transmitted to the plurality of stations based on the feedback information, and transmit the data frames using the allocated frequency units. The reception strength of the BF-T frame may be determined at each station for each frequency unit.

Abstract: A method and an apparatus for exclusive reinforcement learning are provided, comprising: collecting information of states of an environment through the communication interface and performing a statistical analysis on the states using the collected information; determining a first state value of a first state among the states in a training phase and a second state value of a second state among the states in an inference phase based on analysis results of the statistical analysis; performing reinforcement learning by using one reinforcement learning unit of a plurality of reinforcement learning unit which performs reinforcement learnings from different perspectives according to the first state value; and selecting one of actions determined by the plurality of reinforcement learning unit based on the second state value and applying selected action to the environment.

Abstract: Disclosed herein is a program conversion apparatus, which converts a first program to which homomorphic encryption is not applied into a second program to which the homomorphic encryption is applied, including a memory, which stores a first library for configuring the first program and a second library for configuring the second program, and a processor configured to convert the first program into the second program through conversion between operations provided by the first and second libraries.

Abstract: Disclosed herein are a video decoding method and apparatus and a video encoding method and apparatus. Coding decision information of a representative channel of a target block is shared as coding decision information of a target channel of the target block, and decoding of the target block is performed using the coding decision information of the target channel. Since the coding decision information of the representative channel is shared with an additional channel, repeated signaling of identical coding decision information may be prevented. By means of this prevention, the efficiency of encoding and decoding of the target block or the like may be improved.

Abstract: A reflection-type Fourier ptychographic microscopy (FPM), a control method of the reflection-type FPM, and a system thereof are disclosed. According to an embodiment of the present disclosure, a reflection FPM may include an objective lens; a light splitter connected to a member including the objective lens; a first illumination system including a first LED array composed of a plurality of LEDs for irradiating a first beam passing through the objective lens through the light splitter; a second illumination system including a plurality of LEDs for radiating a second beam to a measurement sample in a periphery of the objective lens, and repeatedly moving in an up and down direction based on a virtual center line penetrating the objective lens; and a camera.

Abstract: The present invention relates to an image collection sensor device, an unmanned counting edge computing system and method using the same, and more particularly, to an image collection sensor device capable of providing a high-precision unmanned counting service using a low-power wireless image collection sensor device operated by a battery by analyzing unmanned counting result data that counts the number of persons included in image data, determining image sensor parameters of the image data, and adjusting a collection cycle and collection image quality of image sensor data according to environmental changes in a sensing area.

Abstract: Disclosed herein are an apparatus and method for injecting control flow integrity security code based on a location. The apparatus identifies an indirect function call in input program code, generates indirect function call location information by analyzing the identified indirect function call, and injects control flow integrity security code into the program code using the generated indirect function call location information.

Abstract: A method of an IAB node may comprise: receiving an RRC message including measurement control information from a base station; transmitting RRC reconfiguration information including the measurement control information to each of a plurality of terminals; receiving a measurement report message including a measurement report generated by each of the plurality of terminals based on the measurement control information from each of the plurality of terminals; and grouping the measurement report messages received from the plurality of terminals into a grouped message report message, and transmitting the grouped measurement report message to the base station according to a grouped measurement reporting periodicity.

Abstract: The present invention relates to a multi-modality system for recommending multiple items using an interaction and a method of operating the same. The multi-modality system includes an interaction data preprocessing module that preprocesses an interaction data set and converts the preprocessed interaction data set into interaction training data; an item data preprocessing module that preprocesses item information data and converts the preprocessed item information data into item training data; and a learning module that includes a neural network model that is trained using the interaction training data and the item training data and outputs a result including a set of recommended items using a conversation context with a user as input.

Abstract: A pixel ray crossing-based multi-viewpoint MPI geometry generation method, device, and recording medium of the present disclosure, the method may comprise obtaining a multi-viewpoint image by original cameras which shoot a different viewpoint, obtaining a multi-plane image (MPI) based on the multi-viewpoint image, obtaining, based on the MPI, an atlas image in a 2D form, and obtaining a bitstream by encoding the atlas image.

Abstract: Provided are a multitask learning apparatus and method for improving learning performance of heterogeneous small datasets. The multitask learning apparatus includes a first layer configured to generate feature vectors by projecting training data pairs generated from different tasks to one feature space, a second layer configured to extract a common feature from the projected feature vectors, and a third layer configured to draw each individual inference from the extracted common feature. Here, the first layer and the third layer are task-specific layers, and the second layer is a layer shared between tasks. The first layer, the second layer, and the third layer perform forward propagation in one artificial neural network.

Abstract: Disclosed herein is a method for generating a virtual concert environment in a metaverse. The method may include collecting data related to a virtual concert, generating a multi-feature layer map for reflecting features of respective elements constituting a virtual concert environment based on the data and generating a virtual concert environment based on the multi-feature layer map, and aligning and matching an object in the virtual concert environment based on virtual space coordinates of a metaverse space.

Abstract: A method and an apparatus for transmitting/receiving a signal by using a variable band width in a communication system are disclosed. An operating method of a terminal comprises the steps of: receiving, from a base station, first configuration information about one or more guard bands of an unlicensed band; confirming the one or more guard bands configured in the unlicensed band on the basis of the first configuration information; and confirming a plurality of RB sets configured in the unlicensed band on the basis of the one or more guard bands. Therefore, performance of the communication system can be improved.

Abstract: Provided is an apparatus for image encoding, the apparatus including: a transmitter memory configured to store a program for encoding a stereoscopic 3D image; and an encoding processor configured to execute the program stored in the transmitter memory, wherein the encoding processor is configured to: generate a first stream and a second stream from a left image and a down-converted right image, decode the first stream and the second stream to generate a decoded left image and a first decoded right image; generate a third stream from the decoded left image, the first decoded right image, and an original right image, and decode the third stream to generate a second decoded right image; and generate a fourth stream from the second decoded right image and the original right image.

Abstract: A method of generating a human model according to the present disclosure may include generating a plurality of feature maps from an input image, wherein the plurality of feature maps include a body center map, a part index map, a body part map and a parameter map, generating a part-attentive feature configured with feature maps for each body part based on the part index map and the body part map, readjusting the part-attentive feature based on the parameter map and generating a pose parameter based on the readjusted part-attentive feature.

Abstract: Disclosed herein is an apparatus for receiving data from memory. The apparatus receives a data signal and a clock signal output from memory and includes a Decision Feedback Equalizer (DFE) including two or more differential signal path units configured to determine and output an output value corresponding to the data signal. Each of the two or more differential signal path units may determine a current output value by reflecting a previous output value fed back from a different one of the two or more differential signal path units in such a way that they operate at different clocks, and may include an offset control unit configured to adjust an offset at an input stage and a feedback control unit configured to change a load of an output stage using the previous output value fed back from the different one of the two or more differential signal path units.