Abstract: Disclosed are an electronic device for performing secure communication based on an asymmetric key using a polynomial ring and the operating method thereof to support secure communication having quantum resistance to be enabled.

Abstract: The present disclosure relates to a user recognition method and a user recognition apparatus using a two-dimensional (2D) electromyogram (EMG) spectrogram image. The user recognition method using a 2D EMG spectrogram image may include (a) acquiring a one-dimensional EMG signal for a user, (b) converting the acquired one-dimensional EMG signal to a 2D EMG spectrogram image including a temporal feature and a frequency feature, and (c) recognizing the user based on the 2D EMG spectrogram image.

Abstract: The present invention relates to a chromatic confocal sensor based on a geometrical phase lens, and provides a chromatic confocal sensor that can confirm a height of a specimen and a location of a height measurement point through a configuration of a simple device.

Abstract: A capsule-type endoscope capable of two-way communication includes an RFID receiving antenna receiving an RFID signal, a first matching circuit for impedance matching with the RFID receiving antenna, a human body communication electrode comprised of a ground electrode and a signal electrode transmitting a signal for human body communication, and a second matching circuit for impedance matching with the human body communication electrode.

Abstract: An apparatus for classifying stress includes an electrocardiogram (ECG) measurement module configured to measure an ECG signal in a first state, an idle state, and an ECG signal in a second state in which noise, having various magnitudes, is generated, a feature point extraction module configured to extract a feature point of each of the measured ECG signal in the first state and the measured ECG signal in the second state, and a clustering module configured to perform K-means clustering on the ECG signals in the first and second states based on the extracted feature points to classify stress.

Abstract: A processor-implemented method with homomorphic encryption includes: receiving a first ciphertext corresponding to a first modulus; generating a second ciphertext corresponding to a second modulus by performing modulus raising on the first ciphertext; and performing bootstrapping by encoding the second ciphertext using a commutative property and an associative property of operations included in a rotation operation.

Abstract: A body-attachable triboelectric generating device includes a negatively electrified body including an upper electrified layer and a lower electrified layer adhered to the upper electrified layer; and an electrode layer provided between the upper electrified layer and the lower electrified layer. An engraved pattern, serving as a spacer, is formed on one surface of each of the upper and lower electrified layer in contact with the electrode layer.

Abstract: A method of performing a homomorphic permutation by a server includes: generating, via a ciphertext generation portion, a first ciphertext by adding noise to the basic ciphertext; transmitting, via a transmission portion, the first ciphertext to a client; performing, via an operation portion, a predetermined operation on the noise; receiving, via a reception portion, a second ciphertext from the client; and extracting, via an extraction portion, the basic ciphertext on which the predetermined operation is performed, by removing, from the second ciphertext, the noise on which the predetermined operation is performed, wherein the second ciphertext is a ciphertext that is re-encrypted by the client after decrypting the first ciphertext and performing the predetermined operation on the decrypted first ciphertext.

Abstract: Provided is a method of identifying a user by converting an electrocardiogram (ECG) and an electromyogram (EMG) into images, respectively, and inputting each converted image to a multi-stream convolutional neural network (multi-stream CNN). According to an embodiment of the present disclosure, the user identification method using the ECG and the EMG includes acquiring one-dimensional ECG and EMG signals for a user, converting the ECG and EMG signals into two-dimensional images, respectively, and identifying a user by inputting the two-dimensional images to a multi-stream convolutional neural network (multi-stream CNN), respectively.

Abstract: A device for performing multi-key homomorphic encryption includes a public key generator configured to generate a public key by using a secret key for each client, and a multiplication key generator configured to generate a multiplication key by reusing a public key protection error used in the generating of the public key. By reducing the size of the multiplication key by reusing the public key protection error, the operation time and memory may be reduced.

Abstract: Provided are resource allocation method and apparatus. The resource allocation method according to an embodiment may include allocating power to at least one device; determining a priority of the at least one device; and learning a sum-rate (data rate) according to channel allocation using Q-learning, and allocating a channel to the at least one device based on the learned content.

Abstract: An apparatus includes: one or more processors configured to: generate packed data by performing data packing on an encrypted image; and perform a homomorphic encryption operation based on the packed data and a weight.

Abstract: An encryption method and apparatus based on homomorphic encryption using an odd function property. The encryption method includes generating a ciphertext by encrypting data, and bootstrapping the ciphertext by performing a modular reduction based on an odd function property for a modulus corresponding to the ciphertext.

Abstract: Provided are a method and an apparatus for user association based on fuzzy logic and accelerated reinforcement learning for a dense cloud wireless network. A method for user association based on fuzzy logic and accelerated reinforcement learning in a dense cloud wireless network according to an embodiment of the present disclosure.

Abstract: Provided is a transmission power allocation method based on reinforcement learning with an efficient user clustering method. According to an embodiment of the present disclosure, a transmission power allocation method based on user clustering and reinforcement learning of a base station in a non-orthogonal multiple access (NOMA) system includes a sorting step of sorting channel gains of user equipments located in a coverage of the base station in a size order, a clustering step of allocating the user equipment to each cluster based on the size order, and a power allocation step of allocating power to each user equipment included in the cluster by using a quality function based on a state and an action.

Abstract: The present disclosure relates to an antifouling coating layer, and in detail, provides a method of manufacturing an antifouling coating layer having excellent antifouling characteristic and durability through quick deposition using iCVD.

Abstract: A processor-implemented encryption method using homomorphic encryption includes: receiving data; generating a ciphertext by encrypting the received data; determining a coefficient of an approximating polynomial for performing a modular reduction on a modulus corresponding to the ciphertext, based on an error between the approximating polynomial and a modular reduction function; and performing bootstrapping on the ciphertext by performing the modular reduction based on the determined coefficient of the approximating polynomial.

Abstract: An encryption method and apparatus based on homomorphic encryption using a composition of functions. The encryption method includes generating a ciphertext by encrypting data, and bootstrapping the ciphertext by performing a modular reduction based on a composition of a function for a modulus corresponding to the ciphertext.

Abstract: A method for measuring and analyzing blood pressure using PPG includes receiving, by a computer, a PPG signal from a finger of a subject, dividing, by the computer, a normalization pulse wave signal derived from the received PPG signal into one or more predetermined windows, extracting, by the computer, a maximum lower amplitude value from one of the respective divided windows, extracting, by the computer, a target feature pattern from the extracted maximum lower amplitude value, deriving, by the computer, a first target unique vector and a second target unique vector with respect to the target feature pattern, using a linear discriminant analysis (LDA) algorithm to display the first target unique vector and the second target unique vector of the target feature pattern on 2-dimensional (2D) graph, and providing, by the computer, a blood pressure state of the subject, using the 2D graph.

Abstract: Provided are an electronic device for sorting homomorphic ciphertext by using shell sorting and an operating method thereof to sort ciphertext generated by using homomorphic encryption according to a size of an original number corresponding thereto.