Abstract

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.

IPC Classes  ?

• B60W 60/00 - Drive control systems specially adapted for autonomous road vehicles
• B60W 40/02 - Estimation or calculation of driving parameters for road vehicle drive control systems not related to the control of a particular sub-unit related to ambient conditions
• G06N 20/00 - Machine learning

Abstract

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.

IPC Classes  ?

• H04L 9/40 - Network security protocols

Abstract

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.

IPC Classes  ?

• B64U 50/34 - In-flight charging
• B64U 50/10 - Propulsion
• B64C 39/02 - Aircraft not otherwise provided for characterised by special use
• B60L 58/12 - Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries responding to state of charge [SoC]
• B60L 58/27 - Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries for controlling the temperature of batteries by heating
• B60L 50/61 - Electric propulsion with power supplied within the vehicle using propulsion power supplied by batteries or fuel cells using power supplied by batteries by batteries charged by engine-driven generators, e.g. series hybrid electric vehicles

Abstract

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.

IPC Classes  ?

• G03F 7/039 - Macromolecular compounds which are photodegradable, e.g. positive electron resists
• C08F 212/14 - Monomers containing only one unsaturated aliphatic radical containing one ring substituted by hetero atoms or groups containing hetero atoms
• G03F 7/00 - Photomechanical, e.g. photolithographic, production of textured or patterned surfaces, e.g. printed surfacesMaterials therefor, e.g. comprising photoresistsApparatus specially adapted therefor
• G03F 7/20 - ExposureApparatus therefor
• H01L 21/027 - Making masks on semiconductor bodies for further photolithographic processing, not provided for in group or

Abstract

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.

IPC Classes  ?

• G10L 15/16 - Speech classification or search using artificial neural networks
• G10L 15/18 - Speech classification or search using natural language modelling
• G06F 40/20 - Natural language analysis
• G06F 16/65 - ClusteringClassification

Abstract

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.

IPC Classes  ?

• H04L 9/40 - Network security protocols
• G06N 20/00 - Machine learning

Abstract

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.

IPC Classes  ?

• H04W 24/02 - Arrangements for optimising operational condition
• H04L 45/00 - Routing or path finding of packets in data switching networks
• H04W 76/10 - Connection setup

Abstract

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.

IPC Classes  ?

• H04W 24/02 - Arrangements for optimising operational condition
• H04L 45/00 - Routing or path finding of packets in data switching networks
• H04W 76/10 - Connection setup

Abstract

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.

IPC Classes  ?

• H01M 4/62 - Selection of inactive substances as ingredients for active masses, e.g. binders, fillers
• H01M 4/02 - Electrodes composed of, or comprising, active material
• H01M 4/13 - Electrodes for accumulators with non-aqueous electrolyte, e.g. for lithium-accumulatorsProcesses of manufacture thereof
• H01M 10/0562 - Solid materials

Abstract

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.

IPC Classes  ?

• G06Q 40/04 - Trading Exchange, e.g. stocks, commodities, derivatives or currency exchange
• G06Q 40/06 - Asset managementFinancial planning or analysis
• G06N 3/04 - Architecture, e.g. interconnection topology
• G06N 3/045 - Combinations of networks

Abstract

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.

IPC Classes  ?

• G16B 40/20 - Supervised data analysis
• G16B 30/10 - Sequence alignmentHomology search
• G16B 50/00 - ICT programming tools or database systems specially adapted for bioinformatics
• G16B 20/00 - ICT specially adapted for functional genomics or proteomics, e.g. genotype-phenotype associations
• G06N 3/08 - Learning methods
• G06N 3/0464 - Convolutional networks [CNN, ConvNet]
• G06N 20/00 - Machine learning

Abstract

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.

IPC Classes  ?

• G06F 21/14 - Protecting executable software against software analysis or reverse engineering, e.g. by obfuscation
• G06F 21/12 - Protecting executable software

Abstract

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.

IPC Classes  ?

• G08G 1/0967 - Systems involving transmission of highway information, e.g. weather, speed limits
• B60W 30/14 - Cruise control
• B60W 60/00 - Drive control systems specially adapted for autonomous road vehicles
• G08G 1/01 - Detecting movement of traffic to be counted or controlled

Abstract

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.

IPC Classes  ?

• G06F 30/17 - Mechanical parametric or variational design
• G06F 30/20 - Design optimisation, verification or simulation

Abstract

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.

IPC Classes  ?

• G06F 21/56 - Computer malware detection or handling, e.g. anti-virus arrangements

Abstract

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.

IPC Classes  ?

• G06F 21/14 - Protecting executable software against software analysis or reverse engineering, e.g. by obfuscation
• G06F 21/55 - Detecting local intrusion or implementing counter-measures

Abstract

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.

IPC Classes  ?

• G06N 20/00 - Machine learning

Abstract

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.

IPC Classes  ?

• G16C 20/30 - Prediction of properties of chemical compounds, compositions or mixtures

Abstract

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.

IPC Classes  ?

• G06F 21/56 - Computer malware detection or handling, e.g. anti-virus arrangements
• G06F 21/54 - Monitoring users, programs or devices to maintain the integrity of platforms, e.g. of processors, firmware or operating systems during program execution, e.g. stack integrity, buffer overflow or preventing unwanted data erasure by adding security routines or objects to programs

Abstract

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.

IPC Classes  ?

• G06N 20/00 - Machine learning
• G07C 5/08 - Registering or indicating performance data other than driving, working, idle, or waiting time, with or without registering driving, working, idle, or waiting time

Abstract

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.

IPC Classes  ?

• G06V 20/40 - ScenesScene-specific elements in video content
• G06V 10/77 - Processing image or video features in feature spacesArrangements for image or video recognition or understanding using pattern recognition or machine learning using data integration or data reduction, e.g. principal component analysis [PCA] or independent component analysis [ICA] or self-organising maps [SOM]Blind source separation
• G06V 10/82 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks

Abstract

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.

IPC Classes  ?

• G06N 3/088 - Non-supervised learning, e.g. competitive learning
• G06N 3/098 - Distributed learning, e.g. federated learning

Abstract

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.

IPC Classes  ?

• G09G 3/32 - Control arrangements or circuits, of interest only in connection with visual indicators other than cathode-ray tubes for presentation of an assembly of a number of characters, e.g. a page, by composing the assembly by combination of individual elements arranged in a matrix using controlled light sources using electroluminescent panels semiconductive, e.g. using light-emitting diodes [LED]

Abstract

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.

IPC Classes  ?

• G06F 16/68 - Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
• G06F 16/632 - Query formulation
• G06F 16/635 - Filtering based on additional data, e.g. user or group profiles
• G06F 40/30 - Semantic analysis
• G06F 16/61 - IndexingData structures thereforStorage structures
• G06F 16/432 - Query formulation
• G06V 30/41 - Analysis of document content
• G06Q 50/10 - Services
• G06N 20/00 - Machine learning

Abstract

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.

IPC Classes  ?

• G06T 7/70 - Determining position or orientation of objects or cameras
• G10L 25/21 - Speech or voice analysis techniques not restricted to a single one of groups characterised by the type of extracted parameters the extracted parameters being power information
• G10L 25/57 - Speech or voice analysis techniques not restricted to a single one of groups specially adapted for particular use for comparison or discrimination for processing of video signals

Abstract

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.

IPC Classes  ?

• A63F 13/75 - Enforcing rules, e.g. detecting foul play or generating lists of cheating players
• A63F 13/71 - Game security or game management aspects using secure communication between game devices and game servers, e.g. by encrypting game data or authenticating players
• A63F 13/79 - Game security or game management aspects involving player-related data, e.g. identities, accounts, preferences or play histories
• H04L 9/32 - Arrangements for secret or secure communicationsNetwork security protocols including means for verifying the identity or authority of a user of the system
• G06F 21/50 - Monitoring users, programs or devices to maintain the integrity of platforms, e.g. of processors, firmware or operating systems
• G06N 20/00 - Machine learning

Abstract

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.

IPC Classes  ?

• H02N 2/10 - Electric machines in general using piezoelectric effect, electrostriction or magnetostriction producing rotary motion, e.g. rotary motors
• B06B 1/06 - Processes or apparatus for generating mechanical vibrations of infrasonic, sonic or ultrasonic frequency making use of electrical energy operating with piezoelectric effect or with electrostriction
• H02N 2/00 - Electric machines in general using piezoelectric effect, electrostriction or magnetostriction

Abstract

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.

IPC Classes  ?

• G06F 9/50 - Allocation of resources, e.g. of the central processing unit [CPU]
• G06F 11/34 - Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation

Abstract

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.

IPC Classes  ?

• H01L 29/417 - Electrodes characterised by their shape, relative sizes or dispositions carrying the current to be rectified, amplified or switched
• H01L 29/20 - Semiconductor bodies characterised by the materials of which they are formed including, apart from doping materials or other impurities, only AIIIBV compounds
• H01L 29/66 - Types of semiconductor device
• H01L 29/778 - Field-effect transistors with two-dimensional charge carrier gas channel, e.g. HEMT
• H01L 33/00 - SEMICONDUCTOR DEVICES NOT COVERED BY CLASS - Details thereof

Abstract

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.

IPC Classes  ?

• G06F 9/455 - EmulationInterpretationSoftware simulation, e.g. virtualisation or emulation of application or operating system execution engines
• G06F 9/54 - Interprogram communication

Abstract

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.

IPC Classes  ?

• G06F 21/14 - Protecting executable software against software analysis or reverse engineering, e.g. by obfuscation
• G06F 21/60 - Protecting data
• G06F 21/10 - Protecting distributed programs or content, e.g. vending or licensing of copyrighted material
• H04L 9/32 - Arrangements for secret or secure communicationsNetwork security protocols including means for verifying the identity or authority of a user of the system
• G06F 21/84 - Protecting input, output or interconnection devices output devices, e.g. displays or monitors

Abstract

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.

IPC Classes  ?

• H04L 67/148 - Migration or transfer of sessions
• G06F 9/455 - EmulationInterpretationSoftware simulation, e.g. virtualisation or emulation of application or operating system execution engines
• G06F 9/50 - Allocation of resources, e.g. of the central processing unit [CPU]

Abstract

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.

IPC Classes  ?

• G06T 7/33 - Determination of transform parameters for the alignment of images, i.e. image registration using feature-based methods
• G06T 7/73 - Determining position or orientation of objects or cameras using feature-based methods
• G06V 10/46 - Descriptors for shape, contour or point-related descriptors, e.g. scale invariant feature transform [SIFT] or bags of words [BoW]Salient regional features

Abstract

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).

IPC Classes  ?

• H04W 76/10 - Connection setup

Abstract

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.

IPC Classes  ?

• H04L 45/12 - Shortest path evaluation
• H04L 45/02 - Topology update or discovery
• H04L 45/24 - Multipath

Abstract

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.

IPC Classes  ?

• G06F 21/56 - Computer malware detection or handling, e.g. anti-virus arrangements
• G06F 8/53 - DecompilationDisassembly

Abstract

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.

IPC Classes  ?

• H04L 47/6295 - Queue scheduling characterised by scheduling criteria using multiple queues, one for each individual QoS, connection, flow or priority
• H04L 69/22 - Parsing or analysis of headers
• H04L 47/625 - Queue scheduling characterised by scheduling criteria for service slots or service orders
• H04L 47/283 - Flow controlCongestion control in relation to timing considerations in response to processing delays, e.g. caused by jitter or round trip time [RTT]
• H04L 47/24 - Traffic characterised by specific attributes, e.g. priority or QoS

Abstract

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.

IPC Classes  ?

• G01S 13/04 - Systems determining presence of a target
• G01S 7/35 - Details of non-pulse systems
• G01S 7/41 - Details of systems according to groups , , of systems according to group using analysis of echo signal for target characterisationTarget signatureTarget cross-section
• G06N 20/00 - Machine learning
• B60R 21/015 - Electrical circuits for triggering safety arrangements in case of vehicle accidents or impending vehicle accidents including means for detecting the presence or position of passengers, passenger seats or child seats, e.g. for disabling triggering

Abstract

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.

IPC Classes  ?

• H01M 4/04 - Processes of manufacture in general
• H01M 4/525 - Selection of substances as active materials, active masses, active liquids of inorganic oxides or hydroxides of nickel, cobalt or iron of mixed oxides or hydroxides containing iron, cobalt or nickel for inserting or intercalating light metals, e.g. LiNiO2, LiCoO2 or LiCoOxFy
• H01M 10/054 - Accumulators with insertion or intercalation of metals other than lithium, e.g. with magnesium or aluminium

Abstract

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.

IPC Classes  ?

• G08B 21/04 - Alarms for ensuring the safety of persons responsive to non-activity, e.g. of elderly persons
• G01S 13/58 - Velocity or trajectory determination systemsSense-of-movement determination systems
• G01S 7/35 - Details of non-pulse systems

Abstract

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.

IPC Classes  ?

• H04L 9/40 - Network security protocols

Abstract

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.

IPC Classes  ?

• H04L 47/78 - Architectures of resource allocation
• H04L 47/20 - Traffic policing
• H04L 47/80 - Actions related to the user profile or the type of traffic

Abstract

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.

IPC Classes  ?

• G05B 23/02 - Electric testing or monitoring
• G06N 5/04 - Inference or reasoning models
• G06N 3/08 - Learning methods
• G06N 3/04 - Architecture, e.g. interconnection topology
• G06N 20/00 - Machine learning

Abstract

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.

IPC Classes  ?

• F02B 53/00 - Internal-combustion aspects of rotary-piston or oscillating-piston engines
• F01C 19/06 - Radially-movable sealings for working fluids of resilient material
• F01C 19/00 - Sealing arrangements in rotary-piston machines or engines

Abstract

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.

IPC Classes  ?

• H02M 7/537 - Conversion of DC power input into AC power output without possibility of reversal by static converters using discharge tubes with control electrode or semiconductor devices with control electrode using devices of a triode or transistor type requiring continuous application of a control signal using semiconductor devices only, e.g. single switched pulse inverters
• H02M 1/08 - Circuits specially adapted for the generation of control voltages for semiconductor devices incorporated in static converters

Abstract

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.

IPC Classes  ?

• G06N 5/04 - Inference or reasoning models

Abstract

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.

IPC Classes  ?

• C09J 11/08 - Macromolecular additives
• B32B 7/12 - Interconnection of layers using interposed adhesives or interposed materials with bonding properties
• C09J 7/10 - Adhesives in the form of films or foils without carriers
• C09J 7/38 - Pressure-sensitive adhesives [PSA]
• C09J 11/06 - Non-macromolecular additives organic

Abstract

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.

IPC Classes  ?

• G06F 16/21 - Design, administration or maintenance of databases

Abstract

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.

IPC Classes  ?

• A61K 8/06 - Emulsions
• A61K 8/22 - PeroxidesOxygenOzone
• A61K 8/41 - Amines
• A61Q 19/08 - Anti-ageing preparations

Abstract

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.

IPC Classes  ?

• G16C 60/00 - Computational materials science, i.e. ICT specially adapted for investigating the physical or chemical properties of materials or phenomena associated with their design, synthesis, processing, characterisation or utilisation
• G06N 3/0455 - Auto-encoder networksEncoder-decoder networks
• G06N 3/0475 - Generative networks
• G16C 20/30 - Prediction of properties of chemical compounds, compositions or mixtures
• G16C 20/70 - Machine learning, data mining or chemometrics

Abstract

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.

IPC Classes  ?

• G06N 20/00 - Machine learning

Abstract

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.

IPC Classes  ?

• H04L 41/0816 - Configuration setting characterised by the conditions triggering a change of settings the condition being an adaptation, e.g. in response to network events

Abstract

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.

IPC Classes  ?

• G08G 1/01 - Detecting movement of traffic to be counted or controlled
• G08G 1/0967 - Systems involving transmission of highway information, e.g. weather, speed limits

Abstract

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.

IPC Classes  ?

• G06F 11/14 - Error detection or correction of the data by redundancy in operation, e.g. by using different operation sequences leading to the same result

Abstract

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.

IPC Classes  ?

• G06N 3/098 - Distributed learning, e.g. federated learning

Abstract

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.

IPC Classes  ?

• B60W 40/09 - Driving style or behaviour
• B60W 60/00 - Drive control systems specially adapted for autonomous road vehicles

Abstract

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.

IPC Classes  ?

• H04L 61/5007 - Internet protocol [IP] addresses
• H04L 61/2503 - Translation of Internet protocol [IP] addresses

Abstract

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.

IPC Classes  ?

• G06F 21/57 - Certifying or maintaining trusted computer platforms, e.g. secure boots or power-downs, version controls, system software checks, secure updates or assessing vulnerabilities

Abstract

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.

IPC Classes  ?

• H10N 30/85 - Piezoelectric or electrostrictive active materials
• G01L 5/167 - Apparatus for, or methods of, measuring force, work, mechanical power, or torque, specially adapted for specific purposes for measuring several components of force using piezoelectric means
• H10N 30/30 - Piezoelectric or electrostrictive devices with mechanical input and electrical output, e.g. functioning as generators or sensors
• H10N 30/87 - Electrodes or interconnections, e.g. leads or terminals

Abstract

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.

IPC Classes  ?

• C08B 3/20 - Esterification with maintenance of the fibrous structure of the cellulose
• C08B 15/00 - Preparation of other cellulose derivatives or modified cellulose
• C08G 81/00 - Macromolecular compounds obtained by interreacting polymers in the absence of monomers, e.g. block polymers
• C08G 63/08 - Lactones or lactides
• C08G 63/91 - Polymers modified by chemical after-treatment

Abstract

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.

IPC Classes  ?

• H01L 29/778 - Field-effect transistors with two-dimensional charge carrier gas channel, e.g. HEMT
• H01L 29/66 - Types of semiconductor device
• H01L 29/20 - Semiconductor bodies characterised by the materials of which they are formed including, apart from doping materials or other impurities, only AIIIBV compounds

Abstract

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.

IPC Classes  ?

• H04L 67/101 - Server selection for load balancing based on network conditions
• H04L 67/1008 - Server selection for load balancing based on parameters of servers, e.g. available memory or workload

Abstract

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.

IPC Classes  ?

• G06F 9/50 - Allocation of resources, e.g. of the central processing unit [CPU]

Abstract

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.

IPC Classes  ?

• G06F 15/173 - Interprocessor communication using an interconnection network, e.g. matrix, shuffle, pyramid, star or snowflake
• H04L 45/00 - Routing or path finding of packets in data switching networks
• H04L 45/02 - Topology update or discovery
• H04L 45/302 - Route determination based on requested QoS

Abstract

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.

IPC Classes  ?

• G06F 11/07 - Responding to the occurrence of a fault, e.g. fault tolerance

Abstract

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.

IPC Classes  ?

• B01L 3/00 - Containers or dishes for laboratory use, e.g. laboratory glasswareDroppers

Abstract

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.

IPC Classes  ?

• B01L 3/00 - Containers or dishes for laboratory use, e.g. laboratory glasswareDroppers

Abstract

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.

IPC Classes  ?

• B01L 3/00 - Containers or dishes for laboratory use, e.g. laboratory glasswareDroppers
• B01L 3/02 - BurettesPipettes

Abstract

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.

IPC Classes  ?

• B04C 9/00 - Combinations with other devices, e.g. fans
• B29C 64/124 - Processes of additive manufacturing using only liquids or viscous materials, e.g. depositing a continuous bead of viscous material using layers of liquid which are selectively solidified
• B29C 64/268 - Arrangements for irradiation using laser beamsArrangements for irradiation using electron beams [EB]
• B29C 64/35 - Cleaning
• B33Y 10/00 - Processes of additive manufacturing
• B33Y 30/00 - Apparatus for additive manufacturingDetails thereof or accessories therefor
• B33Y 40/00 - Auxiliary operations or equipment, e.g. for material handling
• B33Y 80/00 - Products made by additive manufacturing
• B04C 5/24 - Multiple arrangement thereof

Abstract

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.

IPC Classes  ?

• G16H 50/20 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
• G16H 50/30 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indicesICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for individual health risk assessment
• A61B 8/08 - Clinical applications

Abstract

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.

IPC Classes  ?

• H04N 13/128 - Adjusting depth or disparity
• H04N 13/122 - Improving the 3D impression of stereoscopic images by modifying image signal contents, e.g. by filtering or adding monoscopic depth cues
• G06N 3/08 - Learning methods

Abstract

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.

IPC Classes  ?

• C09J 189/00 - Adhesives based on proteinsAdhesives based on derivatives thereof
• C09J 11/04 - Non-macromolecular additives inorganic
• C09J 11/06 - Non-macromolecular additives organic
• C09J 9/00 - Adhesives characterised by their physical nature or the effects produced, e.g. glue sticks
• C08K 3/04 - Carbon
• C08K 3/22 - OxidesHydroxides of metals
• C08K 3/36 - Silica
• C08K 5/21 - UreaDerivatives thereof, e.g. biuret

Abstract

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.

IPC Classes  ?

• H04L 67/63 - Routing a service request depending on the request content or context
• H04L 67/1012 - Server selection for load balancing based on compliance of requirements or conditions with available server resources
• H04W 12/06 - Authentication

Abstract

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.

IPC Classes  ?

• G06T 3/00 - Geometric image transformations in the plane of the image
• G06T 11/60 - Editing figures and textCombining figures or text
• G06F 21/32 - User authentication using biometric data, e.g. fingerprints, iris scans or voiceprints
• G06T 5/50 - Image enhancement or restoration using two or more images, e.g. averaging or subtraction
• G06T 3/40 - Scaling of whole images or parts thereof, e.g. expanding or contracting

Abstract

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.

IPC Classes  ?

• G10L 25/15 - Speech or voice analysis techniques not restricted to a single one of groups characterised by the type of extracted parameters the extracted parameters being formant information
• G10L 25/48 - Speech or voice analysis techniques not restricted to a single one of groups specially adapted for particular use

Abstract

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.

IPC Classes  ?

• G06T 11/20 - Drawing from basic elements, e.g. lines or circles
• G06F 3/08 - Digital input from, or digital output to, record carriers from or to individual record carriers, e.g. punched card
• G06F 40/30 - Semantic analysis
• G06N 3/04 - Architecture, e.g. interconnection topology
• G06T 11/60 - Editing figures and textCombining figures or text

Abstract

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.

IPC Classes  ?

• A63F 13/71 - Game security or game management aspects using secure communication between game devices and game servers, e.g. by encrypting game data or authenticating players
• A63F 13/792 - Game security or game management aspects involving player-related data, e.g. identities, accounts, preferences or play histories for payment purposes, e.g. monthly subscriptions

Abstract

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.

IPC Classes  ?

• H04L 67/568 - Storing data temporarily at an intermediate stage, e.g. caching
• H04L 41/122 - Discovery or management of network topologies of virtualised topologies e.g. software-defined networks [SDN] or network function virtualisation [NFV]
• H04L 67/63 - Routing a service request depending on the request content or context

Abstract

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.

IPC Classes  ?

• C08B 15/02 - OxycelluloseHydrocelluloseCellulose hydrate
• B01J 31/02 - Catalysts comprising hydrides, coordination complexes or organic compounds containing organic compounds or metal hydrides

Abstract

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.

IPC Classes  ?

• G06F 21/57 - Certifying or maintaining trusted computer platforms, e.g. secure boots or power-downs, version controls, system software checks, secure updates or assessing vulnerabilities
• G06F 8/656 - Updates while running

Abstract

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.

IPC Classes  ?

• H01M 4/62 - Selection of inactive substances as ingredients for active masses, e.g. binders, fillers
• H01M 4/36 - Selection of substances as active materials, active masses, active liquids
• H01M 10/0562 - Solid materials

Abstract

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.

IPC Classes  ?

• G10L 25/78 - Detection of presence or absence of voice signals
• G10L 21/10 - Transforming into visible information

Abstract

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.

IPC Classes  ?

• G06N 3/08 - Learning methods
• G06N 3/04 - Architecture, e.g. interconnection topology
• G06V 10/82 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
• G06V 10/764 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects

Abstract

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.

IPC Classes  ?

• H04L 9/40 - Network security protocols
• H04L 67/02 - Protocols based on web technology, e.g. hypertext transfer protocol [HTTP]

Abstract

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.

IPC Classes  ?

• G02B 5/18 - Diffracting gratings
• G02B 5/30 - Polarising elements

Abstract

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.

IPC Classes  ?

• H01M 4/88 - Processes of manufacture
• H01M 8/1213 - Fuel cells with solid electrolytes operating at high temperature, e.g. with stabilised ZrO2 electrolyte characterised by the electrode/electrolyte combination or the supporting material
• H01M 4/90 - Selection of catalytic material
• H01M 8/1253 - Fuel cells with solid electrolytes operating at high temperature, e.g. with stabilised ZrO2 electrolyte characterised by the process of manufacturing or by the material of the electrolyte the electrolyte consisting of oxides the electrolyte containing zirconium oxide

Abstract

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.

IPC Classes  ?

• G03F 7/00 - Photomechanical, e.g. photolithographic, production of textured or patterned surfaces, e.g. printed surfacesMaterials therefor, e.g. comprising photoresistsApparatus specially adapted therefor

Abstract

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).

IPC Classes  ?

• G06T 7/73 - Determining position or orientation of objects or cameras using feature-based methods

Abstract

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.

IPC Classes  ?

• H01M 8/1253 - Fuel cells with solid electrolytes operating at high temperature, e.g. with stabilised ZrO2 electrolyte characterised by the process of manufacturing or by the material of the electrolyte the electrolyte consisting of oxides the electrolyte containing zirconium oxide
• H01M 8/1226 - Fuel cells with solid electrolytes operating at high temperature, e.g. with stabilised ZrO2 electrolyte characterised by the electrode/electrolyte combination or the supporting material characterised by the supporting layer
• H01M 8/1286 - Fuel cells applied on a support, e.g. miniature fuel cells deposited on silica supports
• H01M 4/88 - Processes of manufacture
• C23C 14/08 - Oxides
• C23C 14/14 - Metallic material, boron or silicon
• C23C 14/34 - Sputtering
• C23C 14/58 - After-treatment

Abstract

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.

IPC Classes  ?

• G16H 50/80 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for detecting, monitoring or modelling epidemics or pandemics, e.g. flu

Abstract

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.

IPC Classes  ?

• G06T 5/00 - Image enhancement or restoration
• G06T 5/50 - Image enhancement or restoration using two or more images, e.g. averaging or subtraction
• G06N 20/00 - Machine learning
• G06F 18/24 - Classification techniques
• G06N 3/08 - Learning methods

Abstract

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.

IPC Classes  ?

• G01L 1/22 - Measuring force or stress, in general by measuring variations in ohmic resistance of solid materials or of electrically-conductive fluidsMeasuring force or stress, in general by making use of electrokinetic cells, i.e. liquid-containing cells wherein an electrical potential is produced or varied upon the application of stress using resistance strain gauges
• G01L 5/16 - Apparatus for, or methods of, measuring force, work, mechanical power, or torque, specially adapted for specific purposes for measuring several components of force

Abstract

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.

IPC Classes  ?

• G06F 21/62 - Protecting access to data via a platform, e.g. using keys or access control rules
• G06F 21/60 - Protecting data
• H04L 9/08 - Key distribution

Abstract

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.

IPC Classes  ?

• G06N 3/08 - Learning methods
• G06N 3/045 - Combinations of networks
• G06N 20/00 - Machine learning
• G06T 5/00 - Image enhancement or restoration
• G06V 10/764 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects
• G06V 10/82 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks

Abstract

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.

IPC Classes  ?

• G06N 3/045 - Combinations of networks
• G06N 3/047 - Probabilistic or stochastic networks
• G06N 3/08 - Learning methods
• G06N 20/20 - Ensemble learning
• G06N 5/04 - Inference or reasoning models
• G06N 7/01 - Probabilistic graphical models, e.g. probabilistic networks

Abstract

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.

IPC Classes  ?

• C07F 15/00 - Compounds containing elements of Groups 8, 9, 10 or 18 of the Periodic Table
• G01N 33/52 - Use of compounds or compositions for colorimetric, spectrophotometric or fluorometric investigation, e.g. use of reagent paper

Abstract

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.

IPC Classes  ?

• G06V 10/96 - Management of image or video recognition tasks
• G06V 10/764 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects
• G06V 20/70 - Labelling scene content, e.g. deriving syntactic or semantic representations
• G06V 10/40 - Extraction of image or video features
• G06V 20/56 - Context or environment of the image exterior to a vehicle by using sensors mounted on the vehicle
• G06N 3/094 - Adversarial learning

Abstract

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.

IPC Classes  ?

• B60W 60/00 - Drive control systems specially adapted for autonomous road vehicles
• B60W 40/04 - Traffic conditions
• G06N 5/04 - Inference or reasoning models
• G06N 3/08 - Learning methods
• G06F 17/11 - Complex mathematical operations for solving equations

Abstract

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.

IPC Classes  ?

• B60W 50/00 - Details of control systems for road vehicle drive control not related to the control of a particular sub-unit
• G08G 1/01 - Detecting movement of traffic to be counted or controlled
• G08G 1/052 - Detecting movement of traffic to be counted or controlled with provision for determining speed or overspeed
• G05B 13/02 - Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric

Abstract

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.

IPC Classes  ?

• G01M 3/04 - Investigating fluid tightness of structures by using fluid or vacuum by detecting the presence of fluid at the leakage point
• G01N 21/78 - Systems in which material is subjected to a chemical reaction, the progress or the result of the reaction being investigated by observing the effect on a chemical indicator producing a change of colour
• G01N 33/00 - Investigating or analysing materials by specific methods not covered by groups