Abrégé

An action poisoning attack system for an autonomous driving model trained on the basis of the actions of agents each determining the movement thereof, the agents virtually driving in a virtual space, may comprise: a target agent determination unit configured to determine a target agent to be attacked among the plurality of agents on the basis of location information of the agents in the virtual space; and a target action determination unit configured to manipulate action information output by the autonomous driving model with respect to the target agent to generate target action information, and allow the target agent to perform a target action, which is an action by the target action information, to interfere with training of the autonomous driving model.

Classes IPC  ?

• B60W 60/00 - Systèmes d’aide à la conduite spécialement adaptés aux véhicules routiers autonomes
• B60W 40/02 - Calcul ou estimation des paramètres de fonctionnement pour les systèmes d'aide à la conduite de véhicules routiers qui ne sont pas liés à la commande d'un sous-ensemble particulier liés aux conditions ambiantes
• G06N 20/00 - Apprentissage automatique

Abrégé

A Controller Area Network (CAN) communication security method in a CAN communication security apparatus for detecting a CAN bus attack by monitoring a CAN data frame through a CAN bus, which includes receiving a CAN data frame; analyzing the CAN data frame through a pre-learned intrusion detection systems (IDS) model to classify an attack type of the CAN bus; and filtering the classified attack type based on a pre-established rule. The efficiency of intrusion detection in IDS can be improved by reanalyzing the intrusion detection results in IDS based on rule-based filters that utilize actual attack patterns that can be observed in CAN bus traffic.

Classes IPC  ?

• H04L 9/40 - Protocoles réseaux de sécurité

Abrégé

The present invention provides a hybrid unmanned aerial vehicle, and a method and an apparatus for managing energy thereof. The present invention provides an apparatus for managing energy of a hybrid unmanned aerial vehicle comprising an internal combustion engine and an electric motor. The apparatus comprises a processor and a memory connected to the processor. The memory stores program instructions which are executed by the processor such that, if the unmanned aerial vehicle navigates in an electric motor driving mode after taking off and ascending, it is determined whether the state of charge (SOC) of a battery is lower than a preset first reference value; if the SOC is lower than the first reference value, power from the internal combustion engine operates the electric motor as a generator so as to charge the battery; in the process of charging the battery, it is determined whether the temperature of the battery is lower than a preset second reference value; and if the temperature of the battery is lower than the second reference value, the battery is heated by using heat generated from the internal combustion engine.

Classes IPC  ?

• B64U 50/34 - Chargement en vol
• B64U 50/10 - Propulsion
• B64C 39/02 - Aéronefs non prévus ailleurs caractérisés par un emploi spécial
• B60L 58/12 - Procédés ou agencements de circuits pour surveiller ou commander des batteries ou des piles à combustible, spécialement adaptés pour des véhicules électriques pour la surveillance et la commande des batteries en fonction de l'état de charge [SoC]
• B60L 58/27 - Procédés ou agencements de circuits pour surveiller ou commander des batteries ou des piles à combustible, spécialement adaptés pour des véhicules électriques pour la surveillance et la commande des batteries pour la commande de la température des batteries par chauffage
• B60L 50/61 - Propulsion électrique par source d'énergie intérieure au véhicule utilisant de la puissance de propulsion fournie par des batteries ou des piles à combustible utilisant de l'énergie fournie par des batteries par des batteries chargées par des générateurs entraînés par le moteur, p. ex. des véhicules électriques hybrides du type série

Abrégé

A photosensitive polymer may include repeating units represented by Formula 1 and may have a polydispersity index (PDI) of 1.1 or less. A photosensitive polymer may include repeating units represented by Formula 1 and may have a polydispersity index (PDI) of 1.1 or less. In Formula 1, R1, R2, R3, R4, R5, R6, R7, and R8 each independently may be a hydrogen atom, a C1-C3 linear or branched alkyl group, a substituted or unsubstituted C2-C3 linear or branched alkenyl group, a substituted or unsubstituted C2-C3 linear or branched alkynyl group, a substituted or unsubstituted C1-C3 alkoxy group, or a halogen element; A may be an acid-labile group having an acid desorption rate lower than that of a trialkylsilyl group; and m and n each may be an integer of 1 or more. A photosensitive polymer may include repeating units represented by Formula 1 and may have a polydispersity index (PDI) of 1.1 or less. In Formula 1, R1, R2, R3, R4, R5, R6, R7, and R8 each independently may be a hydrogen atom, a C1-C3 linear or branched alkyl group, a substituted or unsubstituted C2-C3 linear or branched alkenyl group, a substituted or unsubstituted C2-C3 linear or branched alkynyl group, a substituted or unsubstituted C1-C3 alkoxy group, or a halogen element; A may be an acid-labile group having an acid desorption rate lower than that of a trialkylsilyl group; and m and n each may be an integer of 1 or more.

Classes IPC  ?

• G03F 7/039 - Composés macromoléculaires photodégradables, p. ex. réserves positives sensibles aux électrons
• C08F 212/14 - Monomères contenant un seul radical aliphatique non saturé contenant un cycle substitué par des hétéro-atomes ou des groupes contenant des hétéro-atomes
• G03F 7/00 - Production par voie photomécanique, p. ex. photolithographique, de surfaces texturées, p. ex. surfaces impriméesMatériaux à cet effet, p. ex. comportant des photoréservesAppareillages spécialement adaptés à cet effet
• G03F 7/20 - ExpositionAppareillages à cet effet
• H01L 21/027 - Fabrication de masques sur des corps semi-conducteurs pour traitement photolithographique ultérieur, non prévue dans le groupe ou

Abrégé

Disclosed are a method and device for classifying a generated voice. The method for classifying a generated voice comprises the steps of: applying a 1D convolution operation to raw voice data to embed the raw voice data in a feature space and extracting a feature vector; quantizing the feature vector by applying the feature vector to a residual vector quantizer; and outputting a classification label by applying the quantized result to a classifier model having a natural language processing model.

Classes IPC  ?

• G10L 15/16 - Classement ou recherche de la parole utilisant des réseaux neuronaux artificiels
• G10L 15/18 - Classement ou recherche de la parole utilisant une modélisation du langage naturel
• G06F 40/20 - Analyse du langage naturel
• G06F 16/65 - GroupementClassement

Abrégé

According to one embodiment of the present invention, a group signature-based federated learning method by a group signature-based federated learning system including at least one client terminal and an administrator terminal provided as a group, and a server distributing a federated learning model to the at least one client terminal may comprise requesting, by the client terminal, a group signature to the administrator terminal; transmitting, by the administrator terminal, a group signature response to the client terminal in response to the request for the group signature; generating, by the client terminal, update information of signed federated learning using the group signature response and transmitting it to the server to request participation in federated learning update; transmitting, when the server receives the request for participation in the federated learning update, a latest group signature request to the administrator terminal and receiving a latest group signature response from the administrator terminal; and comparing, by the server, the latest group signature response with update information of the signed federated learning to determine whether signatures match, and if the signatures match, updating and redistributing the federated learning model to at least one client terminal.

Classes IPC  ?

• H04L 9/40 - Protocoles réseaux de sécurité
• G06N 20/00 - Apprentissage automatique

Abrégé

The present disclosure discloses a computing-aware traffic steering method, apparatus and system in a mobile network. According to the present disclosure, there is provided a computing-aware traffic steering method of mobile network control plane, the method including: in a case where it is confirmed that there is no target data network access identifier (DNAI) mapped to a service ID when a PDU session establishment request including the service ID of a user terminal (UE) is made, transmitting the service ID and user plane path information to a computing-aware traffic steering mobile user plane controller (CATS-MUP-C) using segment routing; reconfiguring a user plane path for accessing an Anycast IP address corresponding to the service ID in conjunction with the CATS-MUP-C; and completing the PDU session establishment using the Anycast IP address.

Classes IPC  ?

• H04W 24/02 - Dispositions pour optimiser l'état de fonctionnement
• H04L 45/00 - Routage ou recherche de routes de paquets dans les réseaux de commutation de données
• H04W 76/10 - Établissement de la connexion

Abrégé

The present disclosure discloses a computing-aware traffic steering method, apparatus and system in a mobile network. According to the present disclosure, there is provided a computing-aware traffic steering method of mobile network control plane, the method including in a case where it is confirmed that there is no target data network access identifier (DNAI) mapped to a service ID when a PDU session establishment request including the service ID of a user equipment (UE) is made, transmitting the service ID and user plane path information to a CATS controller in a computing-aware traffic steering (CATS) network environment using segment routing, and reconfiguring a user plane path for accessing an optimal service contact instance IP address determined as one of a plurality of service contact instances based on a base station connected by the UE and computing and networking metrics in conjunction with the CATS controller.

Classes IPC  ?

• H04W 24/02 - Dispositions pour optimiser l'état de fonctionnement
• H04L 45/00 - Routage ou recherche de routes de paquets dans les réseaux de commutation de données
• H04W 76/10 - Établissement de la connexion

Abrégé

Disclosed are an all-solid-state battery and a method of manufacturing the same, in which the all-solid-state battery includes a coating layer configured such that the surface of a porous network formed by intertwining fibrous carbon is coated with an inorganic electrolyte, thus improving charge/discharge efficiency and lifespan characteristics thereof.

Classes IPC  ?

• H01M 4/62 - Emploi de substances spécifiées inactives comme ingrédients pour les masses actives, p. ex. liants, charges
• H01M 4/02 - Électrodes composées d'un ou comprenant un matériau actif
• H01M 4/13 - Électrodes pour accumulateurs à électrolyte non aqueux, p. ex. pour accumulateurs au lithiumLeurs procédés de fabrication
• H01M 10/0562 - Matériaux solides

Abrégé

The stock price fluctuation prediction system according to an embodiment of the disclosed invention may comprise: a time series encoder configured to extract initial time series pattern vectors for each of a plurality of stock items by using a first machine learning model on the basis of stock price data; a hierarchical self-attention module configured to extract final time series pattern vectors for each of the stock items by using a second machine learning model; and a stock price prediction module configured to predict a stock price change for each of the stock items on the next day of the last day of a preset period for each of the stock items, by using a third machine learning model.

Classes IPC  ?

• G06Q 40/04 - TransactionsOpérations boursières, p. ex. actions, marchandises, produits dérivés ou change de devises
• G06Q 40/06 - Gestion de biensPlanification ou analyse financières
• G06N 3/04 - Architecture, p. ex. topologie d'interconnexion
• G06N 3/045 - Combinaisons de réseaux

Abrégé

The present invention relates to a method for estimating protein aggregation and, more particularly, to a technique using a graph convolutional network (GCN)-based machine learning model for evaluating protein aggregation by utilizing a three-dimensional structure of a protein. The method for estimating protein aggregation of a target protein, according to an embodiment of the present specification, comprises the steps of: obtaining a three-dimensional structure of the target protein; generating a graph representation on the basis of the three-dimensional structure; inputting the graph representation to a pre-trained model; and evaluating protein aggregation on the basis of an output from the pre-trained model, wherein nodes of the graph representation may correspond to amino acids of the target protein, and edges of the graph representation may correspond to interactions between the amino acids.

Classes IPC  ?

• G16B 40/20 - Analyse de données supervisée
• G16B 30/10 - Alignement de séquenceRecherche d’homologie
• G16B 50/00 - TIC pour la programmation d’outils ou de systèmes de bases de données spécialement adaptées à la bio-informatique
• G16B 20/00 - TIC spécialement adaptées à la génomique ou protéomique fonctionnelle, p. ex. corrélations génotype-phénotype
• G06N 3/08 - Méthodes d'apprentissage
• G06N 3/0464 - Réseaux convolutifs [CNN, ConvNet]
• G06N 20/00 - Apprentissage automatique

Abrégé

A method for a deobfuscation apparatus that deobfuscates a malicious program obfuscated using an obfuscation technique, and the deobfuscation method comprises executing the malicious program to identify and extract memory information containing a trampoline code used in the obfuscation technique, executing the trampoline code based on the memory information to classify a type of obfuscation technique of the malicious program, and deobfuscating the malicious program according to the classified obfuscation technique and generating a deobfuscation program. According to the constitution, the techniques for obfuscating OEP and IAT can be deobfuscated.

Classes IPC  ?

• G06F 21/14 - Protection des logiciels exécutables contre l’analyse de logiciel ou l'ingénierie inverse, p. ex. par masquage
• G06F 21/12 - Protection des logiciels exécutables

Abrégé

A traffic control method and apparatus with an autonomous vehicle based on adaptive reward. A traffic control apparatus for an autonomous vehicle based on adaptive reward comprises an information observation unit that collects observation information from a sensing module of an autonomous vehicle or a roadside unit (RSU); a policy execution unit that decides on an action including adjusting acceleration and changing lanes of the autonomous vehicle based on the observation information and policy; and a reward determination unit that determines reward according to observation information at a next timestep according to the decision made, wherein reward in the reward determination unit includes penalty in an event of an accident and reward when driving, wherein the reward when driving includes an adaptive target speed reward term, a successful lane change reward term, and a safety distance compliance reward term that are adaptively determined according to road traffic.

Classes IPC  ?

• G08G 1/0967 - Systèmes impliquant la transmission d'informations pour les grands axes de circulation, p. ex. conditions météorologiques, limites de vitesse
• B60W 30/14 - Régulateur d'allure
• B60W 60/00 - Systèmes d’aide à la conduite spécialement adaptés aux véhicules routiers autonomes
• G08G 1/01 - Détection du mouvement du trafic pour le comptage ou la commande

Abrégé

One embodiment provides a multi-scale simulation-based functionally graded material design method for a high temperature environment. According to one embodiment, since the characteristics of a functionally graded material (FGM) may be predicted through multi-scale simulation in advance and optimal conditions may be derived, it is possible to reduce the costs required for experiment and manufacture and shorten the manufacturing time.

Classes IPC  ?

• G06F 30/17 - Conception mécanique paramétrique ou variationnelle
• G06F 30/20 - Optimisation, vérification ou simulation de l’objet conçu

Abrégé

A method of detecting malicious behavior in a malicious behavior detection apparatus that detects malicious behavior by analyzing the code of a program, comprises generating a first control flow graph (CFG) by performing dynamic analysis on the program, generating a second CFG by extracting a code block that is likely to be executed by a conditional branch instruction included in the program, and comparing the first CFG and the second CFG to detect hidden code included in the program, and detecting a malicious behavior of the program by determining whether the detected hidden code is a malicious code. According to the constitutions, the time it takes to discover and respond to new types of malicious code can be shorten by extracting hidden code related to the malicious behavior and detecting malicious behavior.

Classes IPC  ?

• G06F 21/56 - Détection ou gestion de programmes malveillants, p. ex. dispositions anti-virus

Abrégé

The present invention relates to a deobfuscation method in a deobfuscation device for deobfuscating an obfuscated malicious program using an obfuscation technique. The method comprises the steps of: identifying and extracting memory information including a command calling a trampoline code used in the obfuscation technique by executing a malicious program; classifying the type of obfuscation technique of the malicious program by executing the trampoline code on the basis of the memory information; and generating a deobfuscated program by deobfuscating the malicious program according to the classified obfuscation technique. A technique for obfuscating OEP and IAT can be deobfuscated.

Classes IPC  ?

• G06F 21/14 - Protection des logiciels exécutables contre l’analyse de logiciel ou l'ingénierie inverse, p. ex. par masquage
• G06F 21/55 - Détection d’intrusion locale ou mise en œuvre de contre-mesures

Abrégé

A method and apparatus for augmenting knowledge using federated learning information. An apparatus for augmenting knowledge using federated learning information comprises a transceiver unit that receives local information including a global parameter of a local model, a local latent vector, and a local loss value from each of a plurality of individual devices, a data storage unit that stores the local information, a federated learning execution unit that collects a global parameter of the local model and generates a federated global parameter for a global model, and a large model learning unit that generates a true label approximate value for learning a large model using the local information and the federated global parameter, and learns the large model using a prediction result obtained by inputting the local latent vector into the large model and the true label approximate value.

Classes IPC  ?

• G06N 20/00 - Apprentissage automatique

Abrégé

The present invention is to predict physical properties of a new composition, especially changes in physical properties at ultra-high temperatures, and has the effect of selecting compositions with desired physical properties without going through direct experiments by predicting changes in physical properties of new compositions, especially at ultra-high temperatures, predicting changes in physical properties due to changes in composition at absolute zero, and predicting changes in physical properties at ultra-high temperatures using the QHA (Quasi-harmonic approaching) technique and the Debye approximation for the stable phase of the composition.

Classes IPC  ?

• G16C 20/30 - Prévision des propriétés des composés, des compositions ou des mélanges chimiques

Abrégé

The present invention relates to a method by which a malicious behavior detection device for detecting malicious behavior by analyzing program code detects the malicious behavior. The method comprises the step of: generating a first control flow graph (CFG) by dynamically analyzing the program; generating a second CFG by extracting a code block which is likely to be executed by conditional branch instructions included in the program; and detecting a hidden code included in the program by comparing the first CFG and the second CFG, and detecting the malicious behavior of the program by determining whether the detected hidden code is malicious code. Accordingly, the hidden code related to the malicious behavior is extracted to detect the malicious behavior, and a new type.

Classes IPC  ?

• G06F 21/56 - Détection ou gestion de programmes malveillants, p. ex. dispositions anti-virus
• G06F 21/54 - Contrôle des utilisateurs, des programmes ou des dispositifs de préservation de l’intégrité des plates-formes, p. ex. des processeurs, des micrologiciels ou des systèmes d’exploitation au stade de l’exécution du programme, p. ex. intégrité de la pile, débordement de tampon ou prévention d'effacement involontaire de données par ajout de routines ou d’objets de sécurité aux programmes

Abrégé

An offline reinforcement learning-based foresighted decision-making apparatus and method for interaction between multiple agents. The offline reinforcement learning-based foresighted decision-making apparatus comprises a processor; and a memory connected to the processor, wherein the memory comprises program instructions for performing steps comprising collecting a raw data set about environment surrounding the multiple agents, processing the raw data set into a first data set containing at least one of state information, observation information, and action information in reinforcement learning, generating an episodic future data set from the first data set based on some of the state information, observation information, and action information, generating an episodic future data prediction model using the episodic future data set, and learning an optimal policy for decision-making for each of the multiple agents through offline reinforcement learning using the generated episodic future data prediction model or the episodic future data set.

Classes IPC  ?

• G06N 20/00 - Apprentissage automatique
• G07C 5/08 - Enregistrement ou indication de données de marche autres que le temps de circulation, de fonctionnement, d'arrêt ou d'attente, avec ou sans enregistrement des temps de circulation, de fonctionnement, d'arrêt ou d'attente

Abrégé

The present invention relates to an activity recognition apparatus and method in sports videos using CGAM. According to the present invention, the apparatus for recognizing an activity in a sports video using CGAM (cross granularity accumulation module) comprises an object feature extraction unit that receives a video to be analyzed into a temporal attention module (TAM) in frame units to distinguish importance between frames, sequentially inputs the frames distinguished by importance into a plurality of convolution blocks and each spatial attention module (CBAM) placed between convolution blocks to output a first feature value, outputs a second feature value by a CGAM that generates an object representation by compressing different object information output from each spatial attention module, and extracts an object feature value by multiplying the first feature value and the second feature value; and an activity feature extraction unit that sequentially inputs the extracted object feature values into a recurrent neural network (RNN) and a fully-connected (FC) layer and classifies a final activity from a probability value for each activity estimated using a sigmoid function.

Classes IPC  ?

• G06V 20/40 - ScènesÉléments spécifiques à la scène dans le contenu vidéo
• G06V 10/77 - Traitement des caractéristiques d’images ou de vidéos dans les espaces de caractéristiquesDispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant l’intégration et la réduction de données, p. ex. analyse en composantes principales [PCA] ou analyse en composantes indépendantes [ ICA] ou cartes auto-organisatrices [SOM]Séparation aveugle de source
• G06V 10/82 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant les réseaux neuronaux

Abrégé

An expansion/reduction clustering-based data labeling system according to an aspect of the disclosed invention may comprise: an expanded cluster number determination module configured to determine a first cluster number that is the number of clusters required when classifying input data into a plurality of clusters; a data classification module configured to classify the input data into the determined first cluster number of first clusters on the basis of a machine learning model pre-trained by configuring training input data as an input variable and configuring a labeling result for the training input data as an output variable; and a cluster number reduction module configured to reduce the number of the clusters in which the input data is classified, in a manner of generating one cluster by merging some first clusters among the first clusters in which the input data is classified.

Classes IPC  ?

• G06N 3/088 - Apprentissage non supervisé, p. ex. apprentissage compétitif
• G06N 3/098 - Apprentissage distribué, p. ex. apprentissage fédéré

Abrégé

A driving circuit board includes a driving circuit board includes: a plurality of driving electrode regions on a surface of the driving circuit board; a plurality of driving electrodes symmetrically arranged on the plurality of driving electrode regions; and a driving circuit electrically connected to at least one of the plurality of driving electrodes, wherein the plurality of driving electrodes include at least one dummy electrode that is not connected to the driving circuit.

Classes IPC  ?

• G09G 3/32 - Dispositions ou circuits de commande présentant un intérêt uniquement pour l'affichage utilisant des moyens de visualisation autres que les tubes à rayons cathodiques pour la présentation d'un ensemble de plusieurs caractères, p. ex. d'une page, en composant l'ensemble par combinaison d'éléments individuels disposés en matrice utilisant des sources lumineuses commandées utilisant des panneaux électroluminescents semi-conducteurs, p. ex. utilisant des diodes électroluminescentes [LED]

Abrégé

A music recommendation system according to one embodiment of the present invention includes: a text receiving unit for receiving diary text input to a user terminal; an emotion extraction unit for extracting a diary emotion vector for the diary text using an artificial intelligence model on the basis of the diary text; and a music recommendation unit for determining a piece of recommended music information corresponding to the diary text among pieces of music information in a database on the basis of the diary emotion vector.

Classes IPC  ?

• G06F 16/68 - Recherche de données caractérisée par l’utilisation de métadonnées, p. ex. de métadonnées ne provenant pas du contenu ou de métadonnées générées manuellement
• G06F 16/632 - Formulation de requêtes
• G06F 16/635 - Filtrage basé sur des données supplémentaires, p. ex. sur des profils d'utilisateurs ou de groupes
• G06F 40/30 - Analyse sémantique
• G06F 16/61 - IndexationStructures de données à cet effetStructures de stockage
• G06F 16/432 - Formulation de requêtes
• G06V 30/41 - Analyse du contenu de documents
• G06Q 50/10 - Services
• G06N 20/00 - Apprentissage automatique

Abrégé

The method for detecting a deepfake video according to one embodiment of the present invention comprises receiving a target video, which is a video containing a person speaking; analyzing the direction of the person's face in time series for each of an image and voice constituting the target video; and determining whether the target video is a deepfake video by comparing analysis results of the image and the voice.

Classes IPC  ?

• G06T 7/70 - Détermination de la position ou de l'orientation des objets ou des caméras
• G10L 25/21 - Techniques d'analyse de la parole ou de la voix qui ne se limitent pas à un seul des groupes caractérisées par le type de paramètres extraits les paramètres extraits étant l’information sur la puissance
• G10L 25/57 - Techniques d'analyse de la parole ou de la voix qui ne se limitent pas à un seul des groupes spécialement adaptées pour un usage particulier pour comparaison ou différentiation pour le traitement des signaux vidéo

Abrégé

The present invention relates to a method performed on a computing device comprising processors, and a memory storing one or more programs executed by one or more of the processors, and the method may comprise the steps of: receiving a boosting gamer inquiry request from a user terminal; acquiring game-related information of a gamer included in the boosting gamer inquiry request; detecting whether the gamer is a boosting gamer by inputting the game-related information of the gamer to a pre-trained machine learning model; and generating a boosting-related report on the basis of whether the gamer is a boosting gamer and the game-related information of the gamer.

Classes IPC  ?

• A63F 13/75 - Application des règles, p. ex. détection des joueurs déloyaux ou établissement de listes de joueurs tricheurs
• A63F 13/71 - Aspects de sécurité ou de gestion du jeu utilisation d'une communication sécurisée entre les dispositifs de jeu et les serveurs de jeu, p. ex. en encryptant les données de jeu ou en authentifiant les joueurs
• A63F 13/79 - Aspects de sécurité ou de gestion du jeu incluant des données sur les joueurs, p. ex. leurs identités, leurs comptes, leurs préférences ou leurs historiques de jeu
• H04L 9/32 - Dispositions pour les communications secrètes ou protégéesProtocoles réseaux de sécurité comprenant des moyens pour vérifier l'identité ou l'autorisation d'un utilisateur du système
• G06F 21/50 - Contrôle des utilisateurs, des programmes ou des dispositifs de préservation de l’intégrité des plates-formes, p. ex. des processeurs, des micrologiciels ou des systèmes d’exploitation
• G06N 20/00 - Apprentissage automatique

Abrégé

The present invention provides a piezo ultrasonic motor having a harmonic drive structure. The present invention provides a piezo ultrasonic motor comprising: a piezoelectric body including a plurality of piezoelectric elements which are polarized in opposite polarities in a circumferential direction around a rotation axis and are alternately arranged; a hollow stator which is attached to an upper part of the piezoelectric body and vibrates through a progressive wave generated when the piezoelectric body is expanded and contracted according to the application of an AC voltage; and a rotor which comes in contact with the stator and rotates according to the vibration of the stator, wherein a plurality of first teeth are formed on an upper portion of the stator and a plurality of second teeth different in number from the plurality of first teeth are formed on a lower portion of the rotor such that at least a portion of the plurality of first teeth is engaged with the plurality of second teeth according to the vibration of the stator and at least a portion of the rotor is engaged with the rotating first teeth.

Classes IPC  ?

• H02N 2/10 - Machines électriques en général utilisant l'effet piézo-électrique, l'électrostriction ou la magnétostriction produisant un mouvement rotatif, p. ex. moteurs rotatifs
• B06B 1/06 - Procédés ou appareils pour produire des vibrations mécaniques de fréquence infrasonore, sonore ou ultrasonore utilisant l'énergie électrique fonctionnant par effet piézo-électrique ou par électrostriction
• H02N 2/00 - Machines électriques en général utilisant l'effet piézo-électrique, l'électrostriction ou la magnétostriction

Abrégé

An auto scaling device includes a processor; and a memory connected to the processor, wherein the memory stores program instructions executed by the processor to restrict resources of pods distributed according to setting of an initial resource quota in a name space, collect a monitoring metric of an application for which service is requested, determine whether to change a resource quota by using the collected monitoring metric, a recent data reflection rate of a service predetermined in a custom resource, a service level agreement (SLA) of a service, and an SLA threshold when the resources of the pods are insufficient, and update an initial resource quota in the name space to a first resource quota when the change of the resource quota is required.

Classes IPC  ?

• G06F 9/50 - Allocation de ressources, p. ex. de l'unité centrale de traitement [UCT]
• G06F 11/34 - Enregistrement ou évaluation statistique de l'activité du calculateur, p. ex. des interruptions ou des opérations d'entrée–sortie

Abrégé

A semiconductor device includes a channel layer including a first group III-V semiconductor material; a barrier layer provided on an upper surface of the channel layer, the barrier layer including a second group III-V semiconductor material that is different than the first group III-V semiconductor material; a plurality of sources/drains spaced apart from each other on an upper surface of the barrier layer; a gate insulating layer covering the upper surface of the barrier layer and upper surfaces of the plurality of sources/drains; a gate provided on an upper surface of the gate insulating layer, the gate not overlapping the plurality of sources/drains; a plurality of source/drain electrodes electrically connected to corresponding sources/drains among the plurality of sources/drains; and a gate electrode electrically connected to the gate, wherein the plurality of source/drain electrodes has a diagonally symmetrical arrangement.

Classes IPC  ?

• H01L 29/417 - Electrodes caractérisées par leur forme, leurs dimensions relatives ou leur disposition relative transportant le courant à redresser, à amplifier ou à commuter
• H01L 29/20 - Corps semi-conducteurs caractérisés par les matériaux dont ils sont constitués comprenant, à part les matériaux de dopage ou autres impuretés, uniquement des composés AIIIBV
• H01L 29/66 - Types de dispositifs semi-conducteurs
• H01L 29/778 - Transistors à effet de champ avec un canal à gaz de porteurs de charge à deux dimensions, p.ex. transistors à effet de champ à haute mobilité électronique HEMT
• H01L 33/00 - DISPOSITIFS À SEMI-CONDUCTEURS NON COUVERTS PAR LA CLASSE - Détails

Abrégé

A method for managing Kubernetes cluster resources in a multi-cloud environment includes: (a) selecting, when a workload which is impossible to distribute due to lack of resources is detected in a logical cloud including a plurality of clusters which are present in multiple clouds, one or more first workloads to be migrated from a first cluster to another cluster by referring to a predetermined policy, and a workload intent set for workloads executed in the logical cloud; (b) selecting a second cluster to which the one or more first workloads are to be migrated; (c) migrating the one or more first workloads to the second cluster, and deleting the one or more first workloads from the first cluster; and (d) distributing the workload which is impossible to distribute to the first cluster.

Classes IPC  ?

• G06F 9/455 - ÉmulationInterprétationSimulation de logiciel, p. ex. virtualisation ou émulation des moteurs d’exécution d’applications ou de systèmes d’exploitation
• G06F 9/54 - Communication interprogramme

Abrégé

The present invention relates to an obfuscation implementation method in an obfuscation implementation device for preventing a deobfuscation attack on an application of an Android terminal, comprising the steps of: separating at least a portion of a code included in an application and storing the separated code in an external server, and hiding a string corresponding to the separated code in a data storage space prepared in advance; and protecting a screen element of an Android terminal. Due to this feature, it is possible to prevent a deobfuscation attack on an application by an attacker through dynamic analysis as well as static analysis of an Android application.

Classes IPC  ?

• G06F 21/14 - Protection des logiciels exécutables contre l’analyse de logiciel ou l'ingénierie inverse, p. ex. par masquage
• G06F 21/60 - Protection de données
• G06F 21/10 - Protection de programmes ou contenus distribués, p. ex. vente ou concession de licence de matériel soumis à droit de reproduction
• H04L 9/32 - Dispositions pour les communications secrètes ou protégéesProtocoles réseaux de sécurité comprenant des moyens pour vérifier l'identité ou l'autorisation d'un utilisateur du système
• G06F 21/84 - Protection des dispositifs de saisie, d’affichage de données ou d’interconnexion dispositifs d’affichage, p. ex. écrans ou moniteurs

Abrégé

The present disclosure relates to a service migration system in an edge computing environment. Provided is a migration system comprising: a position data collection unit for collecting position data of each user terminal; a resource data collection module for collecting resource data of each edge cloud server connected to each user terminal; and a migration module for determining the necessity of migration, and performing migration, wherein the necessity of migration is determined on the basis of the service delay time, the service interruption time, and the operation costs.

Classes IPC  ?

• H04L 67/148 - Migration ou transfert de sessions
• G06F 9/455 - ÉmulationInterprétationSimulation de logiciel, p. ex. virtualisation ou émulation des moteurs d’exécution d’applications ou de systèmes d’exploitation
• G06F 9/50 - Allocation de ressources, p. ex. de l'unité centrale de traitement [UCT]

Abrégé

Disclosed are a point cloud registration method and an apparatus thereof. The point cloud registration method comprises the steps of: (a) sampling an input point cloud, then generating each of patches for sampled interest points, then calculating a local coordinate system using distribution information about each of the patches, and then aligning each of the patches; (b) extracting a rotation-invariant feature value after generating a circular kernel by arranging a plurality of kernel points forming a cylindrical shape for each point of each of the aligned patches; (c) generating rotation-invariant descriptors by applying the extracted rotation-invariant feature value to an artificial intelligence model; and (d) performing registration by comparing the similarities between the generated rotation-invariant descriptors and selecting a descriptor having a low similarity as a core descriptor.

Classes IPC  ?

• G06T 7/33 - Détermination des paramètres de transformation pour l'alignement des images, c.-à-d. recalage des images utilisant des procédés basés sur les caractéristiques
• G06T 7/73 - Détermination de la position ou de l'orientation des objets ou des caméras utilisant des procédés basés sur les caractéristiques
• G06V 10/46 - Descripteurs pour la forme, descripteurs liés au contour ou aux points, p. ex. transformation de caractéristiques visuelles invariante à l’échelle [SIFT] ou sacs de mots [BoW]Caractéristiques régionales saillantes

Abrégé

Provided is a method for providing information-centric networking (ICN) service based on a 5G network, and the method comprises transmitting, by a producer server, a content name prefix to all ICN routers constituting an ICN data network (DN), requesting, by an ICN gateway (GW) connected to the 5G network among the ICN routers, registration of the content name prefix from an ICN service/network controller, and generating, by the ICN service/network controller, ICN application configuration information including an internet protocol (IP) address of the ICN GW and the content name prefix, and registering the generated ICN application configuration information to an ICN application function (AF).

Classes IPC  ?

• H04W 76/10 - Établissement de la connexion

Abrégé

Provided is a method for providing a routing path of a producer server in an information-centric networking system, and the method comprises measuring a routing cost for each of a plurality of routing schemes based on a transition cost between routing schemes, an update packet transfer cost, an interest packet transfer cost, and a data packet transfer cost at each predetermined period Tk, estimating a routing cost of period Tk based on an estimated routing cost and a measured routing cost in period Tk-1 for each of the routing schemes, selecting a routing scheme having a minimum estimated routing cost for each of the routing schemes, and providing a routing path between the producer server and the user equipment by applying the selected routing scheme.

Classes IPC  ?

• H04L 45/12 - Évaluation de la route la plus courte
• H04L 45/02 - Mise à jour ou découverte de topologie
• H04L 45/24 - Routes multiples

Abrégé

A method for detecting a mobile malicious application based on an implementation feature in a mobile malicious application detection apparatus based on an implementation feature and the method comprises decompiling a labeled application to remove preset information; extracting abstract syntax tree (AST) that is an implementation feature for each method; generating an AST node list; generating and vectorizing the generated AST node list as a learning dataset for deep learning; generating a classification model by learning a vectorized learning dataset; and outputting a classification result of a target application based on the classification model. This can reduce the false positive rate, extract many features from the obfuscated application, and detect malicious applications by classifying mobile applications as normal or malicious behaviors based on the behaviors performed by the application.

Classes IPC  ?

• G06F 21/56 - Détection ou gestion de programmes malveillants, p. ex. dispositions anti-virus
• G06F 8/53 - DécompilationDésassemblage

Abrégé

A device for ultra-low latency packet scheduling based on a hardware-implemented mode according to an embodiment of the present invention may comprise: an input interface module that receives packet streams from a plurality of input devices; a packet processing module that processes the packet streams received from the input interface module; a mode management module that changes and sets a mode related to the packet processing of the packet processing module in real time and requests that the packet processing mode changed and set in real time be propagated to other switching devices; an output determination module that sets and outputs the priority of the packets according to the packet processing mode changed and set in real time by the mode management module; an output queue module for storing the packets which had the priority set by the output determination module; a mode propagation module that propagates the corresponding mode to the other switching devices in response to the request from the mode management module; and an output interface module that outputs the packets stored in the output queue module to the corresponding output devices according to the priority.

Classes IPC  ?

• H04L 47/6295 - Ordonnancement des files d’attente caractérisé par des critères d’ordonnancement par utilisation de plusieurs files d’attente pour chaque cas particulier de qualité de service, de connexion, de flux ou de priorité
• H04L 69/22 - Analyse syntaxique ou évaluation d’en-têtes
• H04L 47/625 - Ordonnancement des files d’attente caractérisé par des critères d’ordonnancement pour des créneaux de service ou des commandes de service
• H04L 47/283 - Commande de fluxCommande de la congestion par rapport à des considérations temporelles en réponse à des retards de traitement, p. ex. causés par une gigue ou un temps d'aller-retour [RTT]
• H04L 47/24 - Trafic caractérisé par des attributs spécifiques, p. ex. la priorité ou QoS

Abrégé

The present invention relates to an in-vehicle passenger detection device based on an FMCW radar, and a method therefor. The in-vehicle passenger detection device comprises: a signal acquisition unit for receiving a signal reflected after being transmitted from an FMCW radar on the ceiling of a vehicle; a signal processing unit, which performs distance-FFT processing on an intermediate frequency signal generated using a transmission signal and a reception signal of the FMCW radar, and then performs Doppler-FFT processing; a digital beamforming unit for generating a distance-azimuth heatmap by applying digital beamforming to the Doppler-FFT-processed signal; a feature extraction unit, which obtains the average power for each of a plurality of zones of interest corresponding to a plurality of target regions inside the vehicle within the distance-azimuth heatmap, calculates the average power ratio for each of a pre-designated plurality of types of pairs of zones of interest, and extracts a feature vector consisting of a plurality of average powers and a plurality of average power ratios; and a passenger detection unit, which inputs the feature vector into a classification model so as to classify a passenger embarkment state including whether a passenger is present in each target region and whether the passenger is an adult or a child.

Classes IPC  ?

• G01S 13/04 - Systèmes déterminant la présence d'une cible
• G01S 7/35 - Détails de systèmes non impulsionnels
• G01S 7/41 - Détails des systèmes correspondant aux groupes , , de systèmes selon le groupe utilisant l'analyse du signal d'écho pour la caractérisation de la cibleSignature de cibleSurface équivalente de cible
• G06N 20/00 - Apprentissage automatique
• B60R 21/015 - Circuits électriques pour déclencher le fonctionnement des dispositions de sécurité en cas d'accident, ou d'accident imminent, de véhicule comportant des moyens pour détecter la présence ou la position des passagers, des sièges des passagers ou des sièges pour enfants, p. ex. pour mettre hors service le déclenchement

Abrégé

An apparatus for selecting a sodium-ion battery cathode material using machine learning includes an input data generation unit configured to select candidate materials among a plurality of materials possible to be used as cathode materials for sodium-ion batteries and generate O3 input data and P3 input data respectively for O3 structure materials and P3 structure materials formed depending on structural transition during charge and discharge from each candidate material, and a material classification unit configured to receive the O3 and P3 input data from the input data generation unit and classify the candidate materials depending on stability in a pristine state and desodiated state, respectively, by performing machine learning on data of the plurality of O3 and P3 structure materials using a pristine model and a desodiated model as prediction models.

Classes IPC  ?

• H01M 4/04 - Procédés de fabrication en général
• H01M 4/525 - Emploi de substances spécifiées comme matériaux actifs, masses actives, liquides actifs d'oxydes ou d'hydroxydes inorganiques de nickel, de cobalt ou de fer d'oxydes ou d'hydroxydes mixtes contenant du fer, du cobalt ou du nickel pour insérer ou intercaler des métaux légers, p. ex. LiNiO2, LiCoO2 ou LiCoOxFy
• H01M 10/054 - Accumulateurs à insertion ou intercalation de métaux autres que le lithium, p. ex. au magnésium ou à l'aluminium

Abrégé

The present invention relates to a fall detection device and method using an FMCW radar, the method comprising the steps of: receiving a signal reflected from a target after being transmitted by an FMCW radar; generating a map of speed according to time-distance from a map of distance-speed over time for the received signal, and generating a map of acceleration according to time-distance from the speed map; extracting a first centroid distance, which is the expected value of a distance using speed as a weight, and a first distance width, which is the distance range in which movements of at least a set speed occurred, from the speed map over time, and extracting a second centroid distance, which is the expected value of a distance using acceleration as a weight, and a second distance width, which is the distance range in which movements of at least a set acceleration occurred, from the acceleration map over time; and inputting a plurality of feature factors extracted over time into a pre-trained classification model to determine in real time whether the target has fallen.

Classes IPC  ?

• G08B 21/04 - Alarmes pour assurer la sécurité des personnes réagissant à la non-activité, p. ex. de personnes âgées
• G01S 13/58 - Systèmes de détermination de la vitesse ou de la trajectoireSystèmes de détermination du sens d'un mouvement
• G01S 7/35 - Détails de systèmes non impulsionnels

Abrégé

An apparatus and a method for an adversarial attack on vehicle's controller area network (CAN). The apparatus comprises: a data generation module for collecting a plurality of CAN messages, extracting preconfigured some data from the plurality of collected CAN messages, adding type information for the CAN messages to the extracted some data so as to generate CAN message packets, and gathering the generated CAN message packets so as to configure a CAN message packet data set; a pre-processing module for inserting noise into some CAN message packets of the CAN message packet data set, wherein the noise is inserted on the basis of the type information of each CAN message packet; and an adversarial attack generation module for receiving the CAN message packet having noise inserted thereinto so as to generate an adversarial CAN message that can evade an intrusion detection system (IDS) of the vehicle.

Classes IPC  ?

• H04L 9/40 - Protocoles réseaux de sécurité

Abrégé

An NFV infrastructure system based on a container infrastructure includes a master node configured to distribute and manage a virtual network function (VNF) which is an individual network function according to a request by an administrator; and a worker node of an extended container infrastructure structure which allocates the distributed VNF to a VM based infrastructure or a container based infrastructure, wherein a resource model between the master node and the worker node is a resource model which is the same as a resource model according to the request by the administrator.

Classes IPC  ?

• H04L 47/78 - Architectures d'allocation des ressources
• H04L 47/20 - Commande de fluxCommande de la congestion en assurant le maintien du trafic
• H04L 47/80 - Actions liées au type d'utilisateur ou à la nature du flux

Abrégé

This apparatus for determining an abnormal device on the basis of calculating the distances between time series vectors may comprise: a data anomaly detection unit for setting, as reference data for comparison, a piece of data having the smallest rate of deviation from standard normal data on which an anomaly detection model has been trained, among a plurality of pieces of data categorized as normal data; a feature variable selection unit for selecting second feature variables that satisfy preset conditions for determining an abnormal device, from among first feature variables constituting abnormal data or normal data; and an abnormal device determination unit for extracting third feature variables to which an explainable AI (XAI) is to be applied, from a list of the selected second feature variables, and determining an abnormal device through anomaly detection by an XAI for the list of extracted third feature variables.

Classes IPC  ?

• G05B 23/02 - Test ou contrôle électrique
• G06N 5/04 - Modèles d’inférence ou de raisonnement
• G06N 3/08 - Méthodes d'apprentissage
• G06N 3/04 - Architecture, p. ex. topologie d'interconnexion
• G06N 20/00 - Apprentissage automatique

Abrégé

A rotor for a Wankel engine, according to an embodiment of the present invention, is accommodated in a receiving space of a rotor housing and provided so as to be eccentrically rotated in close contact with the inner peripheral surface of the rotor housing. The rotor may comprise: a rotor body including an outer wall portion having a plurality of vertices so as to divide the receiving space into a plurality of parts, an inner wall portion disposed within the outer wall portion and formed in a cylindrical shape with openings on both sides, and a side wall portion disposed between the outer wall portion and the inner wall portion; contact grooves formed at each of the plurality of vertices and recessed toward the inner wall portion; at least two apex seals, provided for each contact groove, which are partially inserted into the contact grooves, are long in the central axis direction, and are configured to seal the receiving space that is divided into a plurality of parts; and an elastic part that provides elastic force to maintain the apex seals in close contact with the inner peripheral surface of the rotor housing.

Classes IPC  ?

• F02B 53/00 - Aspects combustion interne des moteurs à pistons rotatifs ou oscillants
• F01C 19/06 - Joints à déplacement radial pour fluide énergétique en matériau résilient
• F01C 19/00 - Dispositions relatives à l'étanchéité dans les "machines" ou machines motrices à piston rotatif

Abrégé

A phase inverter includes a first transistor connected to a single signal port, a second transistor connected to the single signal port, a third transistor connected to a first power supply and forming a first contact point with the first transistor, a fourth transistor connected to the first power supply and forming a second contact point with the second transistor, and a transformer having a primary side connected to the first and the second contact point, and a secondary side connected to a first and a second differential signal port, wherein the phase inverter operates in one of a first phase mode in which only the first and the fourth transistor are turned on according to levels of voltages applied to gates of transistors, and a second phase mode in which only the second and the third transistor are turned on.

Classes IPC  ?

• H02M 7/537 - Transformation d'une puissance d'entrée en courant continu en une puissance de sortie en courant alternatif sans possibilité de réversibilité par convertisseurs statiques utilisant des tubes à décharge avec électrode de commande ou des dispositifs à semi-conducteurs avec électrode de commande utilisant des dispositifs du type triode ou transistor exigeant l'application continue d'un signal de commande utilisant uniquement des dispositifs à semi-conducteurs, p. ex. onduleurs à impulsions à un seul commutateur
• H02M 1/08 - Circuits spécialement adaptés à la production d'une tension de commande pour les dispositifs à semi-conducteurs incorporés dans des convertisseurs statiques

Abrégé

disclosure An AI model inference apparatus includes: a processor; and a memory connected to the processor, wherein the memory stores program instructions executed by the processor to use an output value of a target model to determine whether the target model corresponds to any of a graybox environment or a blackbox environment, input the same data as the target model to a plurality of AI models included in a candidate model group to acquire the output value, process output values of each of the plurality of AI models differently according to the environment of the target model to acquire a first feature or a second feature, and input the output values of each of the plurality of AI models and the first feature or the second feature to a pre-trained model type classifier to determine the AI model corresponding to the target model.

Classes IPC  ?

• G06N 5/04 - Modèles d’inférence ou de raisonnement

Abrégé

A nanocapsule includes a core-shell structure which has a core including a thermally decomposable compound and a shell including a polymer. A composition includes the nanocapsule. A film includes a nanocapsule layer including the composition and an optically clear adhesive. An electronic apparatus includes a laminated structure including the film and a substrate.

Classes IPC  ?

• C09J 11/08 - Additifs macromoléculaires
• B32B 7/12 - Liaison entre couches utilisant des adhésifs interposés ou des matériaux interposés ayant des propriétés adhésives
• C09J 7/10 - Adhésifs sous forme de films ou de pellicules sans support
• C09J 7/38 - Adhésifs sensibles à la pression
• C09J 11/06 - Additifs non macromoléculaires organiques

Abrégé

A system for constructing a database for a structure and a property of a material based on big data includes an input module that receives chemical information about the material based on the big data, a controller that obtains information about the structure and the property of the material by modeling the chemical information about the material based on quantum mechanics and calculating elastic constants, a database constructing module that constructs a database for the information about the structure and the property, and an output module that outputs the information about the structure and the property in the database with respect to a model selected through the modeling.

Classes IPC  ?

• G06F 16/21 - Conception, administration ou maintenance des bases de données

Abrégé

The present invention relates to an emulsion including an ionic hydrate and oxygen cosmetics using same. More specifically, the present invention is characterized in that an H/O emulsion formulation is prepared by mixing and stirring an oil phase containing a blend of W/O emulsifier and oil with an aqueous phase containing an ionic solution and pressurizing and capturing oxygen gas into the mixture. The formulation can stably capture a gas like oxygen by directly comprising oxygen as an ingredient while ensuring a minimized particle size of a product for skin absorption. The formulation is useful not only in designing for the rapid absorption of captured oxygen upon skin application but also, consequently, in suppressing skin aging and relieving wrinkles.

Classes IPC  ?

• A61K 8/06 - Émulsions
• A61K 8/22 - PeroxydesOxygèneOzone
• A61K 8/41 - Amines
• A61Q 19/08 - Préparations contre le vieillissement

Abrégé

A technology capable of finding new 2D materials with high elastic modulus and shear modulus through using deep learning, machine learning, and high-throughput calculation methods are described. A device for modeling 2-dimensional (2D) material using machine learning includes a material classification unit receiving data on the virtual inorganic material chemical formulas from the virtual inorganic material generation unit and classifying a 2D material among the plurality of virtual inorganic material chemical formulas into a preliminary 2D material, a space group analysis unit receiving data on the preliminary 2D material from the material classification unit, predicting the space group of the preliminary 2D material, and selecting the preliminary 2D material having the same space group as an existing 2D material as a structurally similar 2D material.

Classes IPC  ?

• G16C 60/00 - Science informatique des matériaux, c.-à-d. TIC spécialement adaptées à la recherche des propriétés physiques ou chimiques de matériaux ou de phénomènes associés à leur conception, synthèse, traitement, caractérisation ou utilisation
• G06N 3/0455 - Réseaux auto-encodeursRéseaux encodeurs-décodeurs
• G06N 3/0475 - Réseaux génératifs
• G16C 20/30 - Prévision des propriétés des composés, des compositions ou des mélanges chimiques
• G16C 20/70 - Apprentissage automatique, exploration de données ou chimiométrie

Abrégé

An apparatus for providing sodium superion conductor material information using a machine learning method is provided. The apparatus includes a classification unit for generating classification information by classifying sodium superion conductor material information by comparing an output value obtained by inputting material characteristic information into a sodium superion conductor material search model with a preset threshold value: a first verification unit for selecting information on a structure in an electrochemically stable state using Ewald summation from the generated classification information; and a second verification unit for selecting and providing final information on a structure having high ionic conductivity using AIMD simulation from the information on the structure in the electrochemically stable state.

Classes IPC  ?

• G06N 20/00 - Apprentissage automatique

Abrégé

The present invention relates to a serverless computing method and apparatus, and more particularly, to a serverless computing method and apparatus using mutual monitoring between network edges. The serverless computing method according to one embodiment of the present invention comprises monitoring, by an event handler of the first network edge, an event occurring in the second network edge, generating, by an event generating module of the second network edge, an event response signal through filtering on the event in response to the event occurring, transmitting, by an event delivery module of the second network edge, the event response signal to the event handler of the first network edge, and scaling an application, by an auto-scaler, in the first network edge based on the event response signal.

Classes IPC  ?

• H04L 41/0816 - Réglages de configuration caractérisés par les conditions déclenchant un changement de paramètres la condition étant une adaptation, p. ex. en réponse aux événements dans le réseau

Abrégé

Provided is a method and an apparatus for determining a vehicle behavior, and more specifically, to a method and an apparatus for determining a vehicle behavior for bottleneck congestion control in a bottleneck section. Tn apparatus for determining a vehicle behavior may include an information collection unit collecting surrounding information of a target driving vehicle from a road side unit (RSU), a vehicle observation unit obtaining observation information based on the target driving vehicle from a sensing module mounted on the target driving vehicle, a reward determination unit determining a reward for the target driving vehicle through a reward function which uses the surrounding information and the observation information, a model training unit updating and training a decision making model through the reward, and a behavior determination unit determining a behavior of the target driving vehicle by inputting the observation information into the decision making model.

Classes IPC  ?

• G08G 1/01 - Détection du mouvement du trafic pour le comptage ou la commande
• G08G 1/0967 - Systèmes impliquant la transmission d'informations pour les grands axes de circulation, p. ex. conditions météorologiques, limites de vitesse

Abrégé

Provided is an anomaly detection method performed by an electronic device. The method performed by an electronic device including one or more processors, a communication circuit which communicates with an external device, and one or more memories storing at least one instruction executed by the one or more processors may include: by the one or more processors, receiving target data for discriminating whether an anomaly occurs, in which the target data includes a value for each of a plurality of features; inputting a value for at least one important feature among the plurality of features into an anomaly detection model, in which the at least one important feature is determined by important feature information received from the external device; and determining whether the target data is abnormal based on an output of the anomaly detection model.

Classes IPC  ?

• G06F 11/14 - Détection ou correction d'erreur dans les données par redondance dans les opérations, p. ex. en utilisant différentes séquences d'opérations aboutissant au même résultat

Abrégé

Provided is a method of personalized federated learning performed by an electronic device. The method is performed by an electronic device including one or more processors, a communication circuit which communicates with an external device, and one or more memories storing at least one instruction executed by the one or more processors. The method may include, by the one or more processors, training a local model using local data, in which the local model as an artificial neural network model includes a first parameter set corresponding to a global parameter set and a second parameter set corresponding to a local parameter set, transmitting the first parameter set to the external device, receiving a 1-1st parameter set for renewing the first parameter set from the external device, changing the first parameter set included in the local model to the 1-1st parameter set, and training the local model including the 1-1st parameter set.

Classes IPC  ?

• G06N 3/098 - Apprentissage distribué, p. ex. apprentissage fédéré

Abrégé

Provided is a method and an apparatus of inferring a stochastic driving characteristic of a driving vehicle. The driving characteristic inferring apparatus may include a model training unit which trains a plural driving characteristic model and an inference model using learning driving data of a learning driving vehicle, and a driving characteristic inferring unit which infers a driving characteristic coefficient representing a driving characteristic of a target driving vehicle with driving data of the target driving vehicle as an input of the inference model.

Classes IPC  ?

• B60W 40/09 - Style ou comportement de conduite
• B60W 60/00 - Systèmes d’aide à la conduite spécialement adaptés aux véhicules routiers autonomes

Abrégé

Provided is a method for managing an address for an application of a LISP (Locator ID Separation Protocol) network system in a distributed container-based virtualization environment, and the method comprises detecting, by a service discovery agent of a container platform, generation of an application in a corresponding cluster; querying, by the service discovery agent, a service IP address to be assigned to an application to be generated by transmitting a service name to a central control plane; searching, by the control plane, for a service IP address matching the service name and transmitting the service IP address to the service discovery agent; and transmitting, by the service discovery agent, the service IP address to a manager of the container platform to complete the generation of the application, and mapping the service IP address to a public IP for the generated application to register it in the control plane.

Classes IPC  ?

• H04L 61/5007 - Adresses de protocole Internet [IP]
• H04L 61/2503 - Traduction d'adresses de protocole Internet [IP]

Abrégé

Provided is a unit test case-based security design flaw detection method performed in a security design flaw detection apparatus for detecting a security design flaw of a software system, and the method comprises collecting a unit test case for the software system from an external device and preprocessing the unit test case; generating a first test case by testing whether the software system violates a security policy using the preprocessed unit test case; generating a second test case that is a data set for testing a function of the software system based on the first test case; and detecting a vulnerability of the software system by executing the second test case.

Classes IPC  ?

• G06F 21/57 - Certification ou préservation de plates-formes informatiques fiables, p. ex. démarrages ou arrêts sécurisés, suivis de version, contrôles de logiciel système, mises à jour sécurisées ou évaluation de vulnérabilité

Abrégé

An orthostatic hypotension screening system using a heart rate-based machine learning algorithm includes an input unit configured to receive a variable comprising at least one of a patient's age, blood pressure, an expiration (E)-inspiration (I) difference and an E:I ratio calculated from a heart rate, and a Valsalva ratio calculated according to a Valsalva method; and a determination unit configured to determine whether the patient has orthostatic hypotension according to a machine learning algorithm that is pre-trained based on the variable received through the input unit.

Classes IPC  ?

• H10N 30/85 - Matériaux actifs piézo-électriques ou électrostrictifs
• G01L 5/167 - Appareils ou procédés pour la mesure des forces, du travail, de la puissance mécanique ou du couple, spécialement adaptés à des fins spécifiques pour la mesure de plusieurs composantes de la force en utilisant des moyens piézo-électriques
• H10N 30/30 - Dispositifs piézo-électriques ou électrostrictifs à entrée mécanique et sortie électrique, p. ex. fonctionnant comme générateurs ou comme capteurs
• H10N 30/87 - Électrodes ou interconnexions, p. ex. connexions électriques ou bornes

Abrégé

In the present invention, in order to sufficiently utilize the excellent mechanical properties of compounds based on the natural material glucose as environmentally friendly manufacturing technology and high-functionality new materials, the surface of glucose-based compounds is highly modified with a biopolymer in the form of a high-order branched structure under a mild condition, whereby glucose-based compounds having a high-order branched structure substituted with the biopolymer that significantly improves the commercial viability and dispersion of biodegradable polymers can be manufactured. Specifically, instead of introducing biopolymers to the limitedly reactive hydroxyl groups on the nanocellulose surface, first forming a high-order branched structure on the nanocellulose surface hydroxyl groups and then introducing biopolymers at the terminal hydroxyl groups of the high-order branched structure can markedly enhance the degree of surface modification. Furthermore, incorporation of such biopolymer-substituted glucose-based compounds into biodegradable polymers makes it possible to achieve excellent mechanical characteristics sufficient to replace microplastics, and the biodegradable polymer composites containing same are also biodegradable, allowing for manufacturing environmentally friendly biodegradable polymer composites that were difficult to commercialize previously. Therefore, the problems caused by microplastics can be fundamentally solved, thus significantly reducing social/economic costs.

Classes IPC  ?

• C08B 3/20 - Estérification avec maintien de la structure fibreuse de la cellulose
• C08B 15/00 - Préparation d'autres dérivés cellulosiques ou de cellulose modifiée
• C08G 81/00 - Composés macromoléculaires obtenus par l'interréaction de polymères en l'absence de monomères, p. ex. polymères séquencés
• C08G 63/08 - Lactones ou lactides
• C08G 63/91 - Polymères modifiés par post-traitement chimique

Abrégé

Disclosed are a high electron mobility transistor and a method for manufacturing the high electron mobility transistor. The high electron mobility transistor may comprise: a buffer layer; a channel layer formed on the buffer layer; an interlayer formed on the channel layer; a barrier layer formed on the interlayer; a source electrode formed in contact with the barrier layer; a drain electrode formed in contact with the barrier layer and spaced apart from the source electrode; a single crystal layer formed, between the source electrode and the drain electrode, on the barrier layer; and a gate electrode formed on the single crystal layer.

Classes IPC  ?

• H01L 29/778 - Transistors à effet de champ avec un canal à gaz de porteurs de charge à deux dimensions, p.ex. transistors à effet de champ à haute mobilité électronique HEMT
• H01L 29/66 - Types de dispositifs semi-conducteurs
• H01L 29/20 - Corps semi-conducteurs caractérisés par les matériaux dont ils sont constitués comprenant, à part les matériaux de dopage ou autres impuretés, uniquement des composés AIIIBV

Abrégé

An apparatus, method, and system for dynamic pod autoscaling in a serverless computing environment are disclosed. A dynamic pod autoscaling apparatus in a serverless computing environment comprises a processor; and a memory connected to the processor, wherein the memory stores program instructions for performing operations comprising registering, if there is a service request, a predefined first target value, collecting concurrency/rps (request per second) information of a first number of pods corresponding to the number of replica sets that is pod autoscaled according to the first target value, calculating the first target value as a second target value using the concurrency/rps information and average resource usage of the pod, dynamically changing the number of replica sets from the first number to a second number through the second target value.

Classes IPC  ?

• H04L 67/101 - Sélection du serveur pour la répartition de charge basée sur les conditions du réseau
• H04L 67/1008 - Sélection du serveur pour la répartition de charge basée sur les paramètres des serveurs, p. ex. la mémoire disponible ou la charge de travail

Abrégé

An apparatus, method, and system for automatically scaling dynamic computing resources based on predicted traffic patterns are disclosed. A system for automatically scaling dynamic computing resource based on a predicted traffic pattern comprises a prediction API for predicting resource according to a traffic request for each cluster configured on a workload server using a pre-trained machine learning model; and a prediction-based autoscaler for calculating required resource by comparing available resource for each cluster with the predicted resource, selecting an optimal flavor according to the calculated required resource, and generating a template corresponding to the selected optimal flavor.

Classes IPC  ?

• G06F 9/50 - Allocation de ressources, p. ex. de l'unité centrale de traitement [UCT]

Abrégé

A service mesh traffic management apparatus, system, and method in a distributed Kubernetes multi-cluster environment are disclosed. A service mesh traffic management apparatus in a distributed Kubernetes multi-cluster environment comprises a processor, and a memory connected to the processor, wherein the memory stores program instructions executable by the processor for performing operations comprising receiving a monitoring metric collected by a Prometheus server distributed in the multi-cluster, selecting a first routing policy based on a predefined routing policy selection rule and the collected monitoring metric, comparing the first routing policy and a second routing policy currently in use, distributing, when the first routing policy and the second routing policy are different, the first routing policy to each proxy in the service mesh.

Classes IPC  ?

• G06F 15/173 - Communication entre processeurs utilisant un réseau d'interconnexion, p. ex. matriciel, de réarrangement, pyramidal, en étoile ou ramifié
• H04L 45/00 - Routage ou recherche de routes de paquets dans les réseaux de commutation de données
• H04L 45/02 - Mise à jour ou découverte de topologie
• H04L 45/302 - Détermination de la route basée sur la qualité de service [QoS] demandée

Abrégé

A root cause analysis system for analyzing a root cause in a cloud environment comprises: an infra controller searching a data source endpoint, and bringing address and port information of the data source endpoint when a monitoring agent is installed in a plurality of clusters; a monitoring module registering the address and port information of the data source endpoint according to a request of the intra controller, and collecting data from the monitoring agent in real time; a prediction and localization module predicting an abnormal accident in the plurality of clusters by inputting the data collected in real time into a machine learning-based prediction model, and searching a root cause of the abnormal accident by using a feature score and a log score for a metric of the abnormal accident; and a remediation (treatment) module performing a preliminary recovery process according to the searched root cause.

Classes IPC  ?

• G06F 11/07 - Réaction à l'apparition d'un défaut, p. ex. tolérance de certains défauts

Abrégé

One embodiment of the present invention provides a three-dimensional droplet control device and method which control a droplet in a three-dimensional manner by forming a chamber having various shapes by means of a 3D printer. The three-dimensional droplet control device and method according to an embodiment of the present invention comprise: a chamber of which the upper part is open; a plurality of electrode units inserted into the chamber and controlling the movement of a droplet; a dielectric medium inserted into the chamber, and minimizing the gravitational force and friction when the droplet moves; an electric signal control unit connected to the electrode units and controlling the electric signals thereof; and a power unit connected to the electrode units and the control unit and applying power to the electrode units in accordance with the control of the control unit.

Classes IPC  ?

• B01L 3/00 - Récipients ou ustensiles pour laboratoires, p. ex. verrerie de laboratoireCompte-gouttes

Abrégé

One embodiment of the present invention provides a microfluidic device. The microfluidic device according to an embodiment of the present invention comprises: a connecting adapter provided with at least one side injection unit connected to a tube for supplying a liquid, and a central discharge unit connected to the side injection unit; a chemically resistant tube assembled and coupled to the central discharge unit of the connecting adapter; and a framework provided with a waveform curve groove, into which the chemically resistant tube is curved in a waveform.

Classes IPC  ?

• B01L 3/00 - Récipients ou ustensiles pour laboratoires, p. ex. verrerie de laboratoireCompte-gouttes

Abrégé

One embodiment of the present invention provides a microdroplet device. The microdroplet device according to an embodiment of the present invention comprises: a fixed-amount dispensing adapter provided with at least one side injection unit connected to a tube for supplying a liquid, and a central discharge unit connected to the side injection unit; and a pipette assembled and coupled to the central discharge unit of the fixed-amount dispensing adapter.

Classes IPC  ?

• B01L 3/00 - Récipients ou ustensiles pour laboratoires, p. ex. verrerie de laboratoireCompte-gouttes
• B01L 3/02 - BurettesPipettes

Abrégé

One embodiment of the present invention provides an apparatus and a method which increase separation efficiency and throughput by connecting a plurality of separating devices in parallel to one distributor. The micro hydrocyclone connected in parallel according to an embodiment of the present invention comprises: a frame; separating devices coupled to the frame and separating, by centrifugal force, a substance to be separated; a distributor coupled to the upper surface of the frame and connected in parallel to the separating devices so as to uniformly distribute the substance to be separated to the plurality of separating devices; and a pump connected to the distributor and transferring thereto the substance to be separated.

Classes IPC  ?

• B04C 9/00 - Combinaisons avec d'autres dispositifs, p. ex. avec des ventilateurs
• B29C 64/124 - Procédés de fabrication additive n’utilisant que des matériaux liquides ou visqueux, p. ex. dépôt d’un cordon continu de matériau visqueux utilisant des couches de liquide à solidification sélective
• B29C 64/268 - Agencements pour irradiation par faisceaux laserAgencements pour irradiation par faisceaux d’électrons [FE]
• B29C 64/35 - Nettoyage
• B33Y 10/00 - Procédés de fabrication additive
• B33Y 30/00 - Appareils pour la fabrication additiveLeurs parties constitutives ou accessoires à cet effet
• B33Y 40/00 - Opérations ou équipements auxiliaires, p. ex. pour la manipulation de matériau
• B33Y 80/00 - Produits obtenus par fabrication additive
• B04C 5/24 - Arrangement multiple de ces appareils

Abrégé

Disclosed is a thyroid cancer diagnosis server using high-density lipoprotein (HDL) cholesterol level monitoring. The present server may comprise: a memory that stores the HDL cholesterol level of a subject; and a control unit that, if an initial measured HDL cholesterol level of the subject is lower than a gender-specific set reference value, sets a significant observation period, and monitors the likelihood of the subject developing thyroid cancer if, during the significant observation period, the HDL cholesterol level measured for a plurality of times is consistently lower than the set reference value. By providing the present server, the development of thyroid cancer may be prevented.

Classes IPC  ?

• G16H 50/20 - TIC spécialement adaptées au diagnostic médical, à la simulation médicale ou à l’extraction de données médicalesTIC spécialement adaptées à la détection, au suivi ou à la modélisation d’épidémies ou de pandémies pour le diagnostic assisté par ordinateur, p. ex. basé sur des systèmes experts médicaux
• G16H 50/30 - TIC spécialement adaptées au diagnostic médical, à la simulation médicale ou à l’extraction de données médicalesTIC spécialement adaptées à la détection, au suivi ou à la modélisation d’épidémies ou de pandémies pour le calcul des indices de santéTIC spécialement adaptées au diagnostic médical, à la simulation médicale ou à l’extraction de données médicalesTIC spécialement adaptées à la détection, au suivi ou à la modélisation d’épidémies ou de pandémies pour l’évaluation des risques pour la santé d’une personne
• A61B 8/08 - Applications cliniques

Abrégé

A method for generating a high-quality depth image by using a set of continuous RGB-D frames, according to the present invention, comprises the steps of: identifying a local frame set including a current RGB-D frame, which includes an object to be photographed, and a plurality of neighboring frames; registering, to the current RGB-D frame, each frame included in the plurality of neighboring frames; and identifying average information in pixel units about the registered local frame set and reflecting the identified average information in the registered current RGB-D frame, wherein the plurality of neighboring frames may include a preset number of previous frames and subsequent frames on the basis of the current RGB-D frame.

Classes IPC  ?

• H04N 13/128 - Ajustement de la profondeur ou de la disparité
• H04N 13/122 - Raffinement de la perception 3D des images stéréoscopiques par modification du contenu des signaux d’images, p. ex. par filtrage ou par ajout d’indices monoscopiques de profondeur
• G06N 3/08 - Méthodes d'apprentissage

Abrégé

The present invention relates to an eco-friendly thermally conductive adhesive and a method for producing same. The adhesive comprises a carbon filler, thus exhibiting thermal conductivity, and therefore can minimize energy loss by increasing the efficiency of residential heating when used as an adhesive for flooring. In addition, since the adhesive according to the present invention is produced by substituting harmful components contained in conventional adhesives with sodium caseinate, the discharge of volatile organic compounds (VOCs), which cause environmental pollution, is significantly suppressed, and therefore, the adhesive is harmless to the bodies of human workers and users.

Classes IPC  ?

• C09J 189/00 - Adhésifs à base de protéinesAdhésifs à base de leurs dérivés
• C09J 11/04 - Additifs non macromoléculaires inorganiques
• C09J 11/06 - Additifs non macromoléculaires organiques
• C09J 9/00 - Adhésifs caractérisés par leur nature physique ou par les effets produits, p. ex. bâtons de colle
• C08K 3/04 - Carbone
• C08K 3/22 - OxydesHydroxydes de métaux
• C08K 3/36 - Silice
• C08K 5/21 - UréeSes dérivés, p. ex. biuret

Abrégé

An edge computing service-providing method and an apparatus for the same are disclosed. An infrastructure information apparatus for an edge computing service located in a control plane of a mobile communication network comprises an API server that receives a user plane function (UPF) selection request message from a session management function (SMF) of the mobile communication network when there is an edge computing service request from a user equipment (UE), a local database that stores at least one of a plurality of service names, a plurality of service identifiers corresponding to the plurality of service names, a plurality of MEC (multi-access edge computing) server identifiers, resource status information for each of the plurality of MEC servers, a UPF identifier for connection to each of the plurality of MEC servers, and a user terminal identifier connected to each of the plurality of MEC servers, and an analyzer that selects an optimal MEC server for providing the requested edge computing service through information stored in the local database or through query and response with an information system in a cloud computing infrastructure or Internet infrastructure, wherein the API server transmits a response message including a UPF identifier for connection to the selected optimal MEC server to the SMF.

Classes IPC  ?

• H04L 67/63 - Ordonnancement ou organisation du service des demandes d'application, p. ex. demandes de transmission de données d'application en utilisant l'analyse et l'optimisation des ressources réseau requises en acheminant une demande de service en fonction du contenu ou du contexte de la demande
• H04L 67/1012 - Sélection du serveur pour la répartition de charge basée sur la conformité des exigences ou des conditions avec les ressources de serveur disponibles
• H04W 12/06 - Authentification

Abrégé

The present invention provides a device and a method for generating a de-identified face image capable of face authentication. The device for generating a de-identified face image capable of face authentication comprises: an encoder which extracts a plurality of first style vectors of an original face image and a plurality of second style vectors of a synthesized target face image; a style vector synthesizer that generates a plurality of synthesized style vectors by combining the plurality of first style vectors and the plurality of second style vectors with a plurality of synthesis parameters that control a synthesis ratio; and a face image generator that generates a de-identified final face image of the original face image using the plurality of synthesized style vectors.

Classes IPC  ?

• G06T 3/00 - Transformations géométriques de l'image dans le plan de l'image
• G06T 11/60 - Édition de figures et de texteCombinaison de figures ou de texte
• G06F 21/32 - Authentification de l’utilisateur par données biométriques, p. ex. empreintes digitales, balayages de l’iris ou empreintes vocales
• G06T 5/50 - Amélioration ou restauration d'image utilisant plusieurs images, p. ex. moyenne ou soustraction
• G06T 3/40 - Changement d'échelle d’images complètes ou de parties d’image, p. ex. agrandissement ou rétrécissement

Abrégé

The present invention relates to a voice file forgery detection apparatus using a specific pronunciation and a method therefor. According to the present invention, a voice file forgery detection device using a specific pronunciation comprises: a receiving part that receives a recorded voice file through a user terminal; a preprocessing part that outputs the received voice file in the form of a graph consisting of a time axis and a frequency axis, and independently amplifies a specific transition band in the outputted graph; a signal detection part that extracts a specific signal according to an air ejection phenomenon from the specific transition band, and extracts a voice waveform corresponding to an aspirated sound or an alveolar-palatal fricative; a forgery determination part that analyzes the correlation between the specific signal and the voice waveform, and determines whether the voice file has been forged according to the analyzed result; and a control part that displays and outputs the forged section on a screen when the voice file is determined to have been forged. According to the present invention as above, the transition band is independently amplified from the voice file outputted in the form of a graph, and the air ejection phenomenon generated by the amplified transition band is used to determine whether the voice file is forged, and thus it is possible to detect forgery even in voice files that have undergone mix-pasting and compression, and as it is possible to objectively detect the edited section of the voice file, the voice file can be used as objective evidence.

Classes IPC  ?

• G10L 25/15 - Techniques d'analyse de la parole ou de la voix qui ne se limitent pas à un seul des groupes caractérisées par le type de paramètres extraits les paramètres extraits étant des informations sur les formants
• G10L 25/48 - Techniques d'analyse de la parole ou de la voix qui ne se limitent pas à un seul des groupes spécialement adaptées pour un usage particulier

Abrégé

Provided are a font generating system and a font generating method. The font generating system and the font generating method of the present disclosure are provided to include a component decomposer which has at least one character input thereto and decomposes the input character into at least one component, a component converter which converts the at least one component into a component with a predetermined font to generate at least one imaging component, and a component recomposer which recomposes the at least one imaging component to generate a fonted character.

Classes IPC  ?

• G06T 11/20 - Traçage à partir d'éléments de base, p. ex. de lignes ou de cercles
• G06F 3/08 - Entrée numérique à partir de, ou sortie numérique vers des supports d'enregistrement à partir de, ou vers des supports d'enregistrement distincts, p. ex. carte perforée
• G06F 40/30 - Analyse sémantique
• G06N 3/04 - Architecture, p. ex. topologie d'interconnexion
• G06T 11/60 - Édition de figures et de texteCombinaison de figures ou de texte

Abrégé

Disclosed are a method for changing a game parameter and a client for performing same. The client comprises: a processor for executing a game program; and a transceiver for communicating with a blockchain node of a blockchain network storing a first blockchain, wherein the processor may authenticate a user account and perform a first event of the game program accessed by the user account, the transceiver may transmit, to the blockchain node, a completion signal of the first event including information about the client when the first event is completed and receive, from the blockchain node, a request signal for generating a second event, the processor may generate the second event on the basis of the request signal for generating the second event, and the transceiver may transmit, to the blockchain node, information about the second event.

Classes IPC  ?

• A63F 13/71 - Aspects de sécurité ou de gestion du jeu utilisation d'une communication sécurisée entre les dispositifs de jeu et les serveurs de jeu, p. ex. en encryptant les données de jeu ou en authentifiant les joueurs
• A63F 13/792 - Aspects de sécurité ou de gestion du jeu incluant des données sur les joueurs, p. ex. leurs identités, leurs comptes, leurs préférences ou leurs historiques de jeu pour le paiement, p. ex. d’abonnements mensuels

Abrégé

Provided are a content caching optimization system and method. The content caching optimization system in which content priority in an information-centric networking (ICN) environment is taken into consideration includes one or more producer terminals configured to generate and provide content, one or more user terminals configured to transmit content requests according to users and receive content according to the content requests, one or more mobile/multiple access edge computings (MECs) configured to predict the number of requests for each piece of content to be requested later on the basis of the content requests received from the user terminals, and a software-defined network (SDN) controller configured to calculate a content popularity using the number of requests for each piece of content predicted by the MECs and perform content caching optimization on the basis of the calculated content popularity and a preset content priority.

Classes IPC  ?

• H04L 67/568 - Stockage temporaire des données à un stade intermédiaire, p. ex. par mise en antémémoire
• H04L 41/122 - Découverte ou gestion des topologies de réseau des topologies virtualisées, p. ex. les réseaux définis par logiciel [SDN] ou la virtualisation de la fonction réseau [NFV]
• H04L 67/63 - Ordonnancement ou organisation du service des demandes d'application, p. ex. demandes de transmission de données d'application en utilisant l'analyse et l'optimisation des ressources réseau requises en acheminant une demande de service en fonction du contenu ou du contexte de la demande

Abrégé

The present invention provides a high-purity glucose-based compound ultra-highly substituted with a biopolymer, in which a surface of a glucose-based compound as a natural material is ultra-highly modified with a biopolymer to improve compatibility and dispersibility with biodegradable polymers, thereby significantly improving the mechanical properties of the biodegradable polymer composite.

Classes IPC  ?

• C08B 15/02 - OxycelluloseHydrocelluloseHydrate de cellulose
• B01J 31/02 - Catalyseurs contenant des hydrures, des complexes de coordination ou des composés organiques contenant des composés organiques ou des hydrures métalliques

Abrégé

Provided is an eBPF-based hot patch engine device for protecting kernel vulnerabilities. The eBPF-based hot patch engine device comprises a container-aware code generating unit for generating a container-aware code for identifying a target container, to which a hot patch is attached; and a hot patch configuring unit for configuring an eBPF-based hot patch code for attaching a hot patch to the target container based on the container-aware code. Accordingly, it is possible to prevent attacks based on CVEs, which are known vulnerabilities for container systems, by hot patching kernel-related CVEs at runtime without rebooting and freezing.

Classes IPC  ?

• G06F 21/57 - Certification ou préservation de plates-formes informatiques fiables, p. ex. démarrages ou arrêts sécurisés, suivis de version, contrôles de logiciel système, mises à jour sécurisées ou évaluation de vulnérabilité
• G06F 8/656 - Mises à jour pendant le fonctionnement

Abrégé

Proposed is an all-solid-state battery including a self-standing sheet layer positioned on a negative electrode current collector. The all-solid-state battery may include the negative electrode current collector, the self-standing sheet layer positioned on the negative electrode current collector, a solid electrolyte layer positioned on the sheet layer, a positive electrode active material layer positioned on the solid electrolyte layer, and a positive electrode current collector positioned on the positive electrode active material layer. The sheet layer contains carbon nanotubes.

Classes IPC  ?

• H01M 4/62 - Emploi de substances spécifiées inactives comme ingrédients pour les masses actives, p. ex. liants, charges
• H01M 4/36 - Emploi de substances spécifiées comme matériaux actifs, masses actives, liquides actifs
• H01M 10/0562 - Matériaux solides

Abrégé

Provided is a method for detecting a synthetic voice based on a biological sound, the method comprises receiving an audio stream; extracting a biological feature vector corresponding to a meaningless voice from the audio stream; extracting a synthetic voice feature vector from the audio stream; combining the biological feature vector and the synthetic voice feature vector to generate a combined feature vector; and determining whether the audio stream is a synthetic voice based on the combined feature vector. Accordingly, it is possible to detect a synthetic voice at a lower computational cost than a conventional neural network that detects a synthetic voice by learning the correlation between frames.

Classes IPC  ?

• G10L 25/78 - Détection de la présence ou de l’absence de signaux de voix
• G10L 21/10 - Transformation en information visible

Abrégé

The present invention relates to a technology of detecting, on the basis of a symbolic feature of an image, an adversarial example which derives a misclassification of a deep learning model, by adding minimum noise to an input image, and relates to an adversarial example detection device and method capable of promptly and accurately detecting, on the basis of a symbolic feature of an image, an adversarial example which derives a misclassification of a deep learning model (classifier), specifically, an adversarial example for a traffic sign critical to an image recognition algorithm of an autonomous driving vehicle.

Classes IPC  ?

• G06N 3/08 - Méthodes d'apprentissage
• G06N 3/04 - Architecture, p. ex. topologie d'interconnexion
• G06V 10/82 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant les réseaux neuronaux
• G06V 10/764 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant la classification, p. ex. des objets vidéo

Abrégé

The present invention relates to a phishing attack prevention method in a phishing attack prevention device for protecting a user browser from a phishing attack by a phishing website, by using a fingerprinting-based concealment technique, the phishing attack prevention method comprising the steps of: accessing a user resource locator (URL) through a user browser; disguising the user browser as a crawler by setting fingerprinting-based cloaking in the user browser; and receiving web page content from a phishing website corresponding to the URL. This can protect a user from the first visit to an unknown phishing website and also protect against a phishing attack by returning a harmless web page to the user.

Classes IPC  ?

• H04L 9/40 - Protocoles réseaux de sécurité
• H04L 67/02 - Protocoles basés sur la technologie du Web, p. ex. protocole de transfert hypertexte [HTTP]

Abrégé

The present invention provides a polarization grating generation method using a planar soliton, and a polarization grating formed thereby. According to the present invention, provided is the polarization grating generation method comprising the steps of: generating a pair of phase defects having a phase charge of k=+1/2 and k=-1/2 in liquid crystal; trapping a first phase charge of one from among the pair of phase defects by using optical tweezers; and moving the trapped phase charge so as to generate a planar soliton, wherein desired diffracted light is obtained by means of the planar soliton.

Classes IPC  ?

• G02B 5/18 - Grilles de diffraction
• G02B 5/30 - Éléments polarisants

Abrégé

A method of manufacturing a conductive electrolyte layer according to various embodiments of the present disclosure for achieving the objects is disclosed. The method includes loading a substrate into a sputter chamber, connecting a plurality of targets to the chamber, injecting a mixed gas into the chamber, supplying power to each of the plurality of targets and forming a conductive electrolyte layer on one surface of the substrate, and sintering the conductive electrolyte layer at a set sintering temperature.

Classes IPC  ?

• H01M 4/88 - Procédés de fabrication
• H01M 8/1213 - Éléments à combustible avec électrolytes solides fonctionnant à haute température, p. ex. avec un électrolyte en ZrO2 stabilisé caractérisés par la combinaison électrode/électrolyte ou par le matériau de support
• H01M 4/90 - Emploi de matériau catalytique spécifié
• H01M 8/1253 - Éléments à combustible avec électrolytes solides fonctionnant à haute température, p. ex. avec un électrolyte en ZrO2 stabilisé caractérisés par le procédé de fabrication ou par le matériau de l’électrolyte l'électrolyte étant constitué d’oxydes l'électrolyte contenant de l’oxyde de zirconium

Abrégé

The present subject matter provides a high-speed nanopatterning method and apparatus of two-color super-resolution photolithography. According to the present subject matter, a high-speed nanopatterning apparatus of two-color super-resolution photolithography comprises: a first light source for outputting photochemical reaction initiation light of a first wavelength causing a photochemical reaction to occur in an illuminated area of a photoresist; a first lens for enlarging a beam size of the photochemical reaction initiation light; a second light source for outputting inhibition light of a second wavelength suppressing the photochemical reaction in the illuminated area of the photoresist; a second lens for enlarging a beam size of the inhibition light; and a digital micromirror device including a plurality of micromirrors controlled at a first angle and a second angle and for reflecting a portion of the photochemical reaction initiation light output from the first light source or the inhibition light output from the second light source toward the photoresist through the plurality of micromirrors.

Classes IPC  ?

• G03F 7/00 - Production par voie photomécanique, p. ex. photolithographique, de surfaces texturées, p. ex. surfaces impriméesMatériaux à cet effet, p. ex. comportant des photoréservesAppareillages spécialement adaptés à cet effet

Abrégé

Provided is a pose estimation method in a 3D pose estimation apparatus for estimating a 3D pose of an object based on a graph convolution network (GCN). The pose estimation method comprises inputting a feature vector for a joint of the object; generating an affinity matrix according to the feature vector; generating a dynamic graph matrix by fusing the affinity matrix with a predefined static graph matrix of the graph convolution network; and estimating a 3D pose of the object for the feature vector by replacing the static graph matrix of the graph convolution network with the dynamic graph matrix. As a result, the performance of estimating a 3D pose can be greatly improved while almost maintaining the memory usage and inference time of the existing graph convolution network (GCN).

Classes IPC  ?

• G06T 7/73 - Détermination de la position ou de l'orientation des objets ou des caméras utilisant des procédés basés sur les caractéristiques

Abrégé

A method of forming a conductive electrolyte layer according to various embodiments of the present disclosure for achieving the objects is disclosed. The method includes loading a substrate into a sputtering chamber, connecting multiple targets to the chamber, injecting a mixed gas into the chamber, supplying power to each of the multiple targets and forming the conductive electrolyte layer on one surface of the substrate, and sintering the conductive electrolyte layer at a set sintering temperature.

Classes IPC  ?

• H01M 8/1253 - Éléments à combustible avec électrolytes solides fonctionnant à haute température, p. ex. avec un électrolyte en ZrO2 stabilisé caractérisés par le procédé de fabrication ou par le matériau de l’électrolyte l'électrolyte étant constitué d’oxydes l'électrolyte contenant de l’oxyde de zirconium
• H01M 8/1226 - Éléments à combustible avec électrolytes solides fonctionnant à haute température, p. ex. avec un électrolyte en ZrO2 stabilisé caractérisés par la combinaison électrode/électrolyte ou par le matériau de support caractérisés par la couche de support
• H01M 8/1286 - Éléments à combustible appliqués sur un support, p. ex. éléments à combustible miniatures déposés sur des supports de silice
• H01M 4/88 - Procédés de fabrication
• C23C 14/08 - Oxydes
• C23C 14/14 - Matériau métallique, bore ou silicium
• C23C 14/34 - Pulvérisation cathodique
• C23C 14/58 - Post-traitement

Abrégé

A system for estimating for infectious disease transmission includes: a parameter receiving unit that constructs a discrete-time Markov chain model indicating a state and a state transition probability, and receives a parameter indicating status information according to the infectious disease transmission at a time point after t days have elapsed from a start of infection spread; a calculation unit that calculates the number of hidden infectious states through backward reasoning, and calculates the number of hidden infectious states through forward reasoning using the received parameter; an extraction unit that extracts an inverse scale coefficient using the calculated number of infection states and calculates a reproduction factor using the extracted inverse scale coefficient; and a prediction unit that updates infectious disease status information using the calculated reproduction factor, and predicts the number of hidden infectious persons using the updated infectious disease status information.

Classes IPC  ?

• G16H 50/80 - TIC spécialement adaptées au diagnostic médical, à la simulation médicale ou à l’extraction de données médicalesTIC spécialement adaptées à la détection, au suivi ou à la modélisation d’épidémies ou de pandémies pour la détection, le suivi ou la modélisation d’épidémies ou des pandémies, p. ex. de la grippe

Abrégé

An adversarial image reconstruction system according to an aspect of the disclosed invention may comprise: an image reception module configured to receive an adversarial perturbed image generated by adding noise to an original image; a noise removal module configured to generate a noise-removed image by removing noise from the adversarial perturbed image by using a first artificial intelligence model; and a Fourier-based machine learning module configured to train the first artificial intelligence model via a machine learning method on the basis of a Fourier spectrum output value corresponding to the original image and a Fourier spectrum output value corresponding to the noise-removed image.

Classes IPC  ?

• G06T 5/00 - Amélioration ou restauration d'image
• G06T 5/50 - Amélioration ou restauration d'image utilisant plusieurs images, p. ex. moyenne ou soustraction
• G06N 20/00 - Apprentissage automatique
• G06F 18/24 - Techniques de classification
• G06N 3/08 - Méthodes d'apprentissage

Abrégé

The present invention relates to a pressure sensor, which comprises: a conductive composite formed by a plurality of patterns having different heights and protruding from a surface; and conductive electrodes disposed on the top and bottom surfaces of the conductive composite. The pressure sensor measures: a change in first resistance measured based on a change in the gap between the conductive electrode on the top surface of the conductive composite and the conductive electrode on the bottom surface of the conductive composite due to pressure; and a change in second resistance measured based on the contact of the conductive electrode on the top surface with at least one of the plurality of patterns and the surface of the conductive composite due to the pressure. Therefore, it is possible to measure different magnitudes of force with the single-structure pressure sensor having a single structure.

Classes IPC  ?

• G01L 1/22 - Mesure des forces ou des contraintes, en général en mesurant les variations de la résistance ohmique des matériaux solides ou des fluides conducteurs de l'électricitéMesure des forces ou des contraintes, en général en faisant usage des cellules électrocinétiques, c.-à-d. des cellules contenant un liquide, dans lesquelles un potentiel électrique est produit ou modifié par l'application d'une contrainte en utilisant des jauges de contrainte à résistance
• G01L 5/16 - Appareils ou procédés pour la mesure des forces, du travail, de la puissance mécanique ou du couple, spécialement adaptés à des fins spécifiques pour la mesure de plusieurs composantes de la force

Abrégé

Provided is a secure communication control system. The secure communication control system comprises a guest control unit provided in a guest operating system for generating a thread requesting arbitrary data from a host application installed in a host operating system; a guest shared key generation unit for generating a guest shared key to be used in the thread; a guest communication unit for transmitting the thread and the guest shared key to the host operating system; a host shared key generation unit for generating a host shared key corresponding to the guest shared key; a host control unit for requesting data according to the thread from the host application to receive the data from the host application, generating a session key from the guest shared key, and generating cipher text by encrypting the data using the session key; and a host communication unit for transmitting the cipher text and the host shared key to the guest operating system.

Classes IPC  ?

• G06F 21/62 - Protection de l’accès à des données via une plate-forme, p. ex. par clés ou règles de contrôle de l’accès
• G06F 21/60 - Protection de données
• H04L 9/08 - Répartition de clés

Abrégé

The present invention relates to a technology related to an adversarial learning apparatus, and to an adversarial learning apparatus and method for simultaneously training a denoising network and a deep neural network, and a computer-readable recording medium having recorded thereon a program for executing the method, wherein the deep neural network that classifies images can maintain classification accuracy for normal images, which are reconstructed through the denoising network, at a similar level to the related art, and can also correctly classify adversarial examples reconstructed through the denoising network.

Classes IPC  ?

• G06N 3/08 - Méthodes d'apprentissage
• G06N 3/045 - Combinaisons de réseaux
• G06N 20/00 - Apprentissage automatique
• G06T 5/00 - Amélioration ou restauration d'image
• G06V 10/764 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant la classification, p. ex. des objets vidéo
• G06V 10/82 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant les réseaux neuronaux

Abrégé

An AI model inference device and method are disclosed. Provided, according to the present embodiment, is an AI model inference device comprising a processor and a memory connected to the processor, wherein the memory stores program instructions executed by the processor so as to: determine, by using an output value of a target model, whether the environment of the target model corresponds to a gray box or a black box; obtain output values by inputting the same data as the target model to a plurality of AI models included in a candidate model group; process the output value of each of the plurality of AI models differently depending on the environment of the target model so as to obtain a first feature or a second feature; and input the output value of each of the plurality of AI models and the first feature or the second feature thereof to a pre-trained model type classifier to determine an AI model corresponding to the target model.

Classes IPC  ?

• G06N 3/045 - Combinaisons de réseaux
• G06N 3/047 - Réseaux probabilistes ou stochastiques
• G06N 3/08 - Méthodes d'apprentissage
• G06N 20/20 - Techniques d’ensemble en apprentissage automatique
• G06N 5/04 - Modèles d’inférence ou de raisonnement
• G06N 7/01 - Modèles graphiques probabilistes, p. ex. réseaux probabilistes

Abrégé

The present invention relates to a cyclometalated transition metal complex bearing an electron-withdrawing group (EWG)-substituted aryl ether linker, an electrochemiluminescence (ECL)-based hydrogen sulfide detection sensor including same, and a method for detecting hydrogen sulfide, using same. The detection method includes a deproteination process using organic solvent protein precipitation through a syringe filter and minimizes protein immobilization on the electrode, thus exhibiting excellent reproducibility, sensitivity, and selectivity. In addition, the detection method of the present invention is simple, cost-effective, and suitable for point-of-care testing (POCT) and thus can be utilized for early diagnosis of various diseases such as neurological disorders, metabolic disorders, cardiovascular diseases, pulmonary diseases, or rheumatic diseases, as well as for hydrogen sulfide monitoring.

Classes IPC  ?

• C07F 15/00 - Composés contenant des éléments des groupes 8, 9, 10 ou 18 du tableau périodique
• G01N 33/52 - Utilisation de composés ou de compositions pour des recherches colorimétriques, spectrophotométriques ou fluorométriques, p. ex. utilisation de bandes de papier indicateur

Abrégé

An adversarial training system according to one aspect of the disclosed invention may comprise: an image reception unit configured to receive an original image for training and an adversarial transformed image for training generated by adding noise to the original image for training; an image feature extraction unit configured to extract an original image feature from the original image for training and to extract an adversarial transformed image feature from the adversarial transformed image for training by using a deep learning model; and a machine training unit configured to train the deep learning model on the basis of the original image feature and the adversarial transformed image feature.

Classes IPC  ?

• G06V 10/96 - Gestion de tâches de reconnaissance d’images ou de vidéos
• G06V 10/764 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant la classification, p. ex. des objets vidéo
• G06V 20/70 - Étiquetage du contenu de scène, p. ex. en tirant des représentations syntaxiques ou sémantiques
• G06V 10/40 - Extraction de caractéristiques d’images ou de vidéos
• G06V 20/56 - Contexte ou environnement de l’image à l’extérieur d’un véhicule à partir de capteurs embarqués
• G06N 3/094 - Apprentissage antagoniste

Abrégé

The present disclosure relates to an apparatus and a method for deciding a behavior of an agent, and more particularly, to an apparatus and a method for deciding a behavior of a single agent using an episodic future thinking mechanism. The decision-making method according to an exemplary embodiment of the present disclosure includes collecting observation information and behavior information of a surrounding agent, by a first information collecting unit; inferring a character coefficient of a surrounding agent using data of the first information collecting unit, by a character inferring unit, collecting observation information of a main agent and the surrounding agent at a first time point, by a second information collecting unit; predicting a behavior of the surrounding agent based on the observation information and the character coefficient of the surrounding agent, by a behavior predicting unit, inferring expected observation information of the environment state and the surrounding agent at a second time point corresponding to the behavior prediction result of the surrounding agent, by a state inferring unit; and deciding a behavior of the main agent at the first time point based on the expected observation information of the environment state and the surrounding agent at a second time point, by a decision-making unit.

Classes IPC  ?

• B60W 60/00 - Systèmes d’aide à la conduite spécialement adaptés aux véhicules routiers autonomes
• B60W 40/04 - Calcul ou estimation des paramètres de fonctionnement pour les systèmes d'aide à la conduite de véhicules routiers qui ne sont pas liés à la commande d'un sous-ensemble particulier liés aux conditions ambiantes liés aux conditions de trafic
• G06N 5/04 - Modèles d’inférence ou de raisonnement
• G06N 3/08 - Méthodes d'apprentissage
• G06F 17/11 - Opérations mathématiques complexes pour la résolution d'équations

Abrégé

The present disclosure relates to a driving characteristic inference apparatus and method of a vehicle. According to an exemplary embodiment of the present disclosure, a driving characteristic inference method includes observing a target driving vehicle which is an observation target to generate driving data including behavior information of the target driving vehicle, by an observation module; performing reinforcement learning on an artificial intelligence model using learning data including a first driving characteristic coefficient, by a learning module; generating sampled inference behavior data with the driving data and the first driving character coefficient as an input of the artificial intelligence model, by a model utilization module; and comparing the generated inference behavior data with measured actual behavior data to determine the second driving characteristic coefficient, by an inference module.

Classes IPC  ?

• B60W 50/00 - Détails des systèmes d'aide à la conduite des véhicules routiers qui ne sont pas liés à la commande d'un sous-ensemble particulier
• G08G 1/01 - Détection du mouvement du trafic pour le comptage ou la commande
• G08G 1/052 - Détection du mouvement du trafic pour le comptage ou la commande avec des dispositions pour déterminer la vitesse ou l'excès de vitesse
• G05B 13/02 - Systèmes de commande adaptatifs, c.-à-d. systèmes se réglant eux-mêmes automatiquement pour obtenir un rendement optimal suivant un critère prédéterminé électriques

Abrégé

A gas leak detecting method includes a test article preparation operation of preparing a test article that includes a first coupling region, in which a second component is coupled to one side of a first component, and a second coupling region, in which a third component is coupled to one side of the second component, a test article arrangement operation of arranging the test article in an inner space of a body unit, and a sealing inspection operation of examining a gas discharged from the inner space and inspecting whether or not the first coupling region or the second coupling region is sealed. In the test article arrangement operation, each of the first coupling region and the second coupling region is located inside the inner space.

Classes IPC  ?

• G01M 3/04 - Examen de l'étanchéité des structures ou ouvrages vis-à-vis d'un fluide par utilisation d'un fluide ou en faisant le vide par détection de la présence du fluide à l'emplacement de la fuite
• G01N 21/78 - Systèmes dans lesquels le matériau est soumis à une réaction chimique, le progrès ou le résultat de la réaction étant analysé en observant l'effet sur un réactif chimique produisant un changement de couleur
• G01N 33/00 - Recherche ou analyse des matériaux par des méthodes spécifiques non couvertes par les groupes