Sangmin Lee

Hyeontae Joo

DongKyu Lee

Seongjoon Park

Joon Yeop Lee

Kwang Jae Sung

Woonghee Lee

Jongtack Jung

Seungho Yoo

Mungyu Bae

Hyunsoon Kim

Suk Kyu Lee

Dohyun An

Seunghyeon Lee

Dongjae Lee

Seoeun Choi

Seunghwan Lee

Jaeseung Lee

Hooyeop Shim

Hyeong Tae Kim

Changhwan Joe

Seounghwan Oh

Inseop Um

Woong Gyu La

Ha Young Shin

Jiyeon Lee

Soo Yeon Sohn

Albert Yongjoon Chung

Kangho Kim

Taeyoon Kang

Beom Seok Choo

Hyung Kyu Lee

Hwantae Kim

Wonkyun Park

Jun-gyu Ahn

Eugene Kim

Sung-su Kim

Jun Seok Hwang

Jaehyeuk Yang(Michael Yang)

Taejin Kwak

Heyjin Son

Jinpyo Hong

Jihoon Ryoo

Hwajoong Kim

Hyun-Jun Choi

Shinuk Woo

We are Wireless Intelligence at Network Edge Laboratory belonging to Professor Hwangnam Kim
of the Department of Electrical Engineering at Korea University.
We are actively conducting various up-to-date research in line with the trend.
If you're interested, come with us!

우리는 한국대학교 전기공학과 김황남 교수님의 Wireless Intelligence at Network Edge 연구실입니다.
우리는 트렌드에 맞춰 다양한 최신 연구를 적극적으로 수행하고 있습니다.
관심 있으시면 함께 가세요!

Power Efficient Network Scanning Algorithm Based on IEEE 802.11 k-Measurement Pilot

Link-aware reconfigurable point-to-point video streaming for mobile devices

TCP Algorithm Improvement for Smartphone Data Transmissions

스마트폰 통신성향을 고려한 TCP 개선방안

Analysis of localization for drone-fleet

Enhancing UAV network reliability through blockchain-based information sharing

자전거 주행 정보 시스템 용 IoT 디바이스 개발

Conditional Generative Framework with Peak-Aware Attention for Robust Chemical Detection under Interferences

Empirical study on performance and power consumption in multi-core and multi-threaded smartphones

IEEE 802.11 k-Measurement Pilot 을 활용한 저전력 네트워크 스캐닝 알고리즘

Drone positioning system using UWB sensing and out-of-band control

Regulating Delayed ACK Timeout to Construct High Speed Transmission

Provisioning geographic data-centric dissemination in Wireless Sensor Networks

TiDoSGAN: Enhanced Generative Adversarial Network for NFC Restoration

energies MDPI

Ensuring reliable openflow channel for sdn based cyber-physical system

On Exploiting Location Information for Service Differentiation in IEEE 802.11 Hot Spots

Improving location estimation with two-tier particle filtering in mobile wireless environment

Optimal coverage control for net-drone handover

Enabling secure resource sharing in Wireless Mesh Networks

데이터 송수신이 필수적인 환경에서의 스마트폰의 멀티코어와 멀티쓰레드에 따른 성능 및 전력 분석

고속 통신 구현을 위한 Delayed ACK Timeout 값의 유동적인 적용 연구

가상화 클라우드 데이터센터에서 가상 머신 간의 균등한 성능 보장을 위한 제어 알고리즘

Optimizing time-sensitive software-defined wireless networks with reinforcement learning

DMGAN: Bridging AI and Chemistry with Enhanced GC-MS Data Generation

SDN 신뢰성 강화를 위한 블록체인 활용방안 연구

Simplified KF-based energy-efficient vehicle positioning for smartphones

VID Layer: 무선환경에서의 끊김 없는 VoIP Handoff

Provisioning Protected Resource Sharing in Multi-Hop Wireless Networks

Bidirectional bandwidth allocation for TCP performance enhancement in mobile WiMAX networks

Pioneering ai in chemical data: New frontline with gc-ms generation

이중대역 AP 를 이용한 LOS/NLOS 판별 및 실내 위치 측위 기술

Constructing a reliable and fast recoverable network for drones

Mobile device-centric approach for identifying problem spot in network using deep learning

GRUI: A Novel Gesture Recognition Utilizing UWB Sensor and IMU

A fair and secure bandwidth allocation for AMI mesh network in smart grid

Sequential monte carlo filtering for location estimation in indoor wireless environments

Noncooperative carrier sense game in wireless networks

Beyond Learning: A Training-Free Alternative to Model Adaptation

Dynamic bandwidth request-allocation algorithm for real-time services in IEEE 802.16 broadband wireless access networks

Proactive searching period determination on singular radio mobile devices

A Dual Mobility Model with User Profiling: Decoupling User Mobile Patterns from Association Patterns

An empirical interference modeling for link reliability assessment in wireless networks

블루투스를 이용한 재밍 검출 방안에 관한 연구

Efficient One-Way Time Synchronization for VANET with MLE-Based Multi-Stage Update

CapsNet 을 활용한 UWB 신호의 LOS/NLOS 분류 기법

Crowdedness measuring system considering view angle of CCTV camera

Present: A collaboration framework for resource sharing in wireless mesh networks

고밀도 Wi-Fi Hot Spot 네트워크에서 사용자 접속패턴 분석

Rc function virtualization-you can remote control drone squadrons (poster)

Wi-Fi 환경에서의 이동방향을 고려한 AP 연결성 개선방안

모바일 환경에서 사용자별 터치 입력 방법 구분에 관한 연구

Calibrating Dead Reckoning with Deep Reinforcement Learning

QoE-driven Wi-Fi selection mechanism for next generation smartphones

Flow level 클라우드 네트워크 시뮬레이터

PX4 기반 무인비행체의 GPS 시간 동기화 오차 최소화에 관한 연구 및 구현

Poster: A multi-drone platform for empowering drones' teamwork

디지털 트윈 기반 안전 관제 플랫폼을 통한 작업자 안전 강화에 관한 연구

비콘 (Beacon) 서비스의 군사적용방안

Link-aware AP selection for improving Wi-Fi quality

인공지능 기반 팀 스포츠 시즌 승점 회귀 및 순위 산출 모델 연구

A secure framework for protecting customer collaboration in intelligent power grids

블록체인 간 안전한 데이터 전송을 위한 영지식 증명 기반 데이터 공유 시스템 연구

Refining Elusive user registration patterns for empirical mobility models

WiLD: Widening view angle for lesion detection with gastroscopic images

Vmcs: Elaborating apf-based swarm intelligence for mission-oriented multi-uv control

Improving reliability of real-time remote vehicle control through duplicating control packets

Coexistence Issues in Contention-Based Heterogeneous Wireless Networks

데이터 센터에서 향상된 네트워크 성능 하에서 VM Live Migration 의 필요성

SINR 분포를 이용한 IEEE 802.11 무선 링크 상태 파악

Angular MST‐Based Topology Control for Multi‐hop Wireless Ad Hoc Networks

저지연 및 고출력을 위한 전이 학습과 GNN 기반 UAV 네트워크 라우팅 최적화

Towards cosimulating network and electrical systems for performance evaluation in smart grid

MR-CloudSim: Designing and implementing MapReduce computing model on CloudSim

Precise localization of a UAV with single vision camera and deep learning

블록체인 플랫폼 지원을 위한 서비스 수준 기반 네트워크 경로 제어

재난환경에서의 통신 신뢰성 향상을 위한 MultiPath TCP 적용 연구

Net-Drone 에서의 RTK-GPS 의 사용 가능성에 관한 연구

로봇 청소기 기반 홈 네트워크에서의 효율적 센서 데이터 수집 기법

PX4 기반 무인비행체의 GPS 시간동기화 오차 최소화에 관한 연구

드론 네트워크에서 시민감 트래픽을 위한 회귀모델 기반 라우팅 알고리즘에 관한 연구

드론 편대 네트워크 시뮬레이터

재난 상황 대응용 긴급 전송 프로토콜

Poster: Asynchronous acoustic localization using commercial devices

데이터 수집 및 센서 유지 보수를 위한 무인 이동체 시스템

SDR 을 이용한 광대역 통신 방해 감지 알고리즘

Drone formation algorithm on 3d space for a drone-based network infrastructure

제한된 상황에서 제한된 성능의 기기에 기반한 Localization

A dual feedback approach of request-based bandwidth allocation for real-time service in broadband wireless access networks

A cross-layer approach for per-station fairness in TCP over WLANs

Wi-Fi seeker: A link and load aware AP selection algorithm

An empirical framework for user mobility models: Refining and modeling user registration patterns

UAV 네트워크 라우팅 최적화를 위한 전이학습 기반 SDN 프레임워크 연구

Microscale analysis on sensing devices and its impact on assessing user mobility

사용자 공간에서 스토리지 I/O 성능 향상 기법 연구

이미지 조도조절 및 감지를 활용한 특징점 검출기

WLAN 환경에서 AP 의 상대적 망 품질 정보 도출을 위한 SINR 예측 알고리즘 설계 및 구현

AirSim 구조 연구 및 예제 코드 흐름 분석

H. 264 기반 영상 주요도 인지 인코딩 기법

Survey on anti-drone systems: Components, designs, and challenges

Future of IoT networks: A survey

Drone detection and identification system using artificial intelligence

Improving protocol capacity with model-based frame scheduling in IEEE 802.11-operated WLANs

Toward electricity retail competition: Survey and case study on technical infrastructure for advanced electricity market system

Method for controlling hand-over in drone network

Preserving privacy and efficiency in data communication and aggregation for AMI network

An analysis of the binary exponential backoff algorithm in distributed mac protocols

Network calculus based simulation for TCP congestion control: theorems, implementation and evaluation

Indoor pedestrian localization using iBeacon and improved Kalman filter

DAG-based distributed ledger for low-latency smart grid network

Configuring RTK-GPS architecture for system redundancy in multi-drone operations

Handover management of net-drones for future internet platforms

DQ: Two approaches to measure the degree of decentralization of blockchain

Performance analysis of DAG-based cryptocurrency

Provisioning quality controlled medium access in ultrawideband-operated WPANs

Hwangnam Kim

This paper presents a comprehensive survey on anti-drone systems. After drones were released for non-military usages, drone incidents in the unarmed population are gradually increasing. However, it is unaffordable to construct a military grade anti-drone system for every private or public facility due to installation and operation costs, and regulatory restrictions. We focus on analyzing anti-drone system that does not use military weapons, investigating a wide range of anti-drone technologies, and deriving proper system models for reliable drone defense. We categorized anti-drone technologies into detection, identification, and neutralization, and reviewed numerous studies on each. Then, we propose a hypothetical anti-drone system that presents the guidelines for adaptable and effective drone defense operations. Further, we discuss drone-side safety and security schemes that could nullify current anti-drone …

The introduction of mobile devices has changed our daily lives. They enable users to obtain information even in a nomadic environment and provide information without limitations. A decade after the introduction of this technology, we are now facing the next innovation that will change our daily lives. With the introduction of the Internet of Things (IoT), our communication ability will not be restricted to only mobile devices. Rather, it will expand to all things with which we coexist. Many studies have discussed IoT-related services and platforms. However, there are only limited discussions about the IoT network. In this paper, we will thoroughly analyze the technical details about the IoT network. Based on our survey of papers, we will provide insight about the future IoT network and the crucial components that will enable it.

As drone attracts much interest, the drone industry has opened their market to ordinary people, making drones to be used in daily lives. However, as it got easier for drone to be used by more people, safety and security issues have raised as accidents are much more likely to happen: colliding into people by losing control or invading secured properties. For safety purposes, it is essential for observers and drone to be aware of an approaching drone. In this paper, we introduce a comprehensive drone detection system based on machine learning. This system is designed to be operable on drones with camera. Based on the camera images, the system deduces location on image and vendor model of drone based on machine classification. The system is actually built with OpenCV library. We collected drone imagery and information for learning process. The system's output shows about 89 percent accuracy.

In this paper, we develop a model-based frame scheduling scheme, called MFS , to enhance the capacity of IEEE 802.11-operated wireless LANs (WLANs). In MFS each node estimates the current network status by keeping track of the number of collisions it encounters between its two consecutive successful frame transmissions, and, based on the the estimated information, computes the current network utilization. The result is then used to determine a scheduling delay that is introduced (with the objective of avoiding collision) before a node attempts for transmission of its pending frame. In order to accurately calculate the current utilization in WLANs, we develop an analytical model that characterizes data transmission activities in IEEE 802.11-operated WLANs with/without the RTS/CTS mechanism, and validate the model with ns-2 simulation. All the control overhead incurred in the physical and MAC layers, as well …

Nowadays, we can hear the word “cloud” everywhere. Cloud web storage, cloud-based web applications, and cloud networks, they all indicate that cloud has become more important than it has ever been. Internet service providers (ISP) and internet contents providers (ICP) are providing more and more services with cloud computing, and also in mobile computing environments, a cloud service is drawing much attention from the community. The biggest advantage of cloud computing is clear. As far as the user is connected to the cloud, (s)he can have all the extra computing power and storage no matter what his device is. However, empirical validation of various research projects on a cloud system seems to be ineffective in both cost and time since it requires involving to a huge amount of computing facilities and resources. Even with its importance as commerce and inconvenience of researching, there are not many …

The retail competition in electrical power industry may produce benefits in perspectives of both business and environment. Customers can obtain monetary benefits through competition among service providers and exploit diverse electric services which can be more enhanced with the retail competition. In addition, employing distributed/renewable energy generation units can be accelerated by the retail competition, which leads a way for green growth of our society. In order to construct a new retail competition model or reform an existing one, we should conduct substantial amount of decision-makings on distribution automation technologies under an open access paradigm to enable stable grid controls and operations, smart metering for distribution network operators, and information exchanges between service providers and customers. Besides, we should also address critical concerns about security and privacy …

In this paper, we investigate the issue of per-station fairness in TCP over IEEE 802.11-compliant wireless local area networks (WLANs), especially in Wi-Fi hot spot. It is asserted that the hot spot suffers from the unfairness among stations in exploiting the wireless medium. The source of this unfairness is analyzed from two aspects, TCP-induced asymmetry and MAC-induced asymmetry; the former causes TCP congestion control with a cumulative acknowledgment mechanism to prefer the sending stations to receiving stations, while the later exacerbates the unfairness problem in the hot spots. We investigate the interaction between TCP congestion control and MAC contention control, and propose a cross-layer feedback approach to assure per-station fairness and to ensure high channel utilization. In this approach, we introduce the notion of channel access cost to quantify the system-wide traffic load and per-station …

Due to the evolution of smart grid technologies, the number of smart meters deployed in a consumer area is rapidly increasing. As a consequence, network traffic issues in advanced metering infrastructure (AMI) have been raised. In smart gird, satisfying latency requirement and privacy-preserving are important issues. Intuitively, latency requirement can be met by reducing network delay and processing time. However, preserving privacy and security of user data has negative effects on both the network delay and the processing time due to the increased message size and cryptographic overhead. To overcome these problems, various types of message aggregation schemes with cryptographic algorithms have been proposed, but they have limitation in processing time and applicability to diverse scenarios. In this paper, we propose a data communication scheme for AMI network that can reduce the network traffic …

In the paper, we perform an in-depth analytic study of the binary exponential algorithm (BEBA) that is widely used in distributed MAC protocols, for example, IEEE 802.11 DCF. We begin with a generalized framework of modeling BEBA. Then we identify a key difference between BEBA and the commonly-assumed p-persistent model: due to the characteristics of BEBA, the slot succeeding a busy period has a different contention rate from the other slots. This causes access to a slot to be non-uniform and dependent on whether or not the slot immediately follows a busy period. We propose a detailed model with the use of a Markov chain to faithfully describe the channel activities governed by BEBA. To reduce the computational complexity, we simplify the model to an approximate one, and conduct an extensive simulation study. The analytical results derived in the proposed model are compared against those obtained from two other representative models. It is demonstrated that the proposed model is an accurate characterization of the BEBA algorithm in a broader range of system configuration. We further investigate the impact of the stochastic property of the backoff time, r, on the performance. It is revealed that in certain circumstances it becomes an important factor that affects the performance. A case study shows that by shifting the distribution range of r merely by 1 slot, substantial degradation in the system throughput may result.

In this paper, we examine the feasibility of incorporating network calculus based models in simulating TCP/IP networks. By exploiting network calculus properties, we characterize how TCP congestion control - additive increase and multiplicative decrease (AIMD), together with the queue management strategy used in routers, regulates TCP flows. We first divide the time axis into intervals (each of which consists of multiple round-trip times), and derive a TCP AIMD throughput model which derives the attainable throughput of a TCP flow, given the number of collisions in an interval. Then based on the derived throughput model, we define a set of network calculus based theorems that give upper and lower bounds on the attainable TCP throughput in each interval. Finally, we implement network calculus (NC) based simulation in ns-2, conduct simulation in both the packet mode and the network calculus-based mode …

The reliable and accurate indoor pedestrian positioning is one of the biggest challenges for location-based systems and applications. Most pedestrian positioning systems have drift error and large bias due to low-cost inertial sensors and random motions of human being, as well as unpredictable and time-varying radio-frequency (RF) signals used for position determination. To solve this problem, many indoor positioning approaches that integrate the user’s motion estimated by dead reckoning (DR) method and the location data obtained by RSS fingerprinting through Bayesian filter, such as the Kalman filter (KF), unscented Kalman filter (UKF), and particle filter (PF), have recently been proposed to achieve higher positioning accuracy in indoor environments. Among Bayesian filtering methods, PF is the most popular integrating approach and can provide the best localization performance. However, since PF uses a large number of particles for the high performance, it can lead to considerable computational cost. This paper presents an indoor positioning system implemented on a smartphone, which uses simple dead reckoning (DR), RSS fingerprinting using iBeacon and machine learning scheme, and improved KF. The core of the system is the enhanced KF called a sigma-point Kalman particle filter (SKPF), which localize the user leveraging both the unscented transform of UKF and the weighting method of PF. The SKPF algorithm proposed in this study is used to provide the enhanced positioning accuracy by fusing positional data obtained from both DR and fingerprinting with uncertainty. The SKPF algorithm can achieve better positioning …

In recent years, due to the technological development of various kinds of drones, also known as unmanned aerial vehicles (UAVs), drones have emerged as an effective solution for a wide area of applications. In such applications, employing multiple drones promises a better way to carry out a given mission than employing a single drone. To utilize multiple drones, all drones should establish a network that can provide connectivity among themselves. In this paper, we propose GCS-routing, a routing protocol for multiple drones employed by a ground control system (GCS). GCS-routing utilizes the information of drones that can be obtained from GCS, such as geographic information and per-drone flight schedules. The actual implementation of GCS-routing was applied to a fleet of drones, and evaluated in various aspects.

The emerging broadband wireless access (BWA) technology based on IEEE 802.16 is one of the most promising solutions to provide ubiquitous wireless access to the broadband service at low cost. This paper proposes an efficient uplink bandwidth request-allocation algorithm for variable-rate realtime services in IEEE 802.16 BWA networks. In order to minimize bandwidth wastage without degrading quality of service (QoS), we introduce a notion of target delay and propose dual feedback architecture. The proposed algorithm calculates the amount of bandwidth request such that the delay is regulated around the desired level to minimize delay violation and delay jitter for real-time services. Also, it can maximize utilization of wireless channel by making use of dual feedback, where the bandwidth request is adjusted based on the information about the backlogged amount of traffic in the queue and the rate mismatch …

In this paper, we propose a scheme that implements a Distributed Ledger Technology (DLT) based on Directed Acyclic Graph (DAG) to generate, validate, and confirm the electricity transaction in Smart Grid. The convergence of the Smart Grid and distributed ledger concept has recently been introduced. Since Smart Grids require a distributed network architecture for power distribution and trading, the Distributed Ledger-based Smart Grid design is a spotlighted research domain. However, only the Blockchain-based methods, which are a type of the distributed ledger scheme, are currently either being considered or adopted in the Smart Grid. Due to computation-intensive consensus schemes such as Proof-of-Work and discrete block generation, Blockchain-based distributed ledger systems suffer from efficiency and latency issues. We propose a DAG-based distributed ledger for Smart Grids, called PowerGraph, to resolve this problem. Since a DAG-based distributed ledger does not need to generate blocks for confirmation, each transaction of the PowerGraph undergoes the validation and confirmation process individually. In addition, transactions in PowerGraph are used to keep track of the energy trade and include various types of transactions so that they can fully encompass the events in the Smart Grid network. Finally, to ensure that PowerGraph maintains a high performance, we modeled the PowerGraph performance and proposed a novel consensus algorithm that would result in the rapid confirmation of transactions. We use numerical evaluations to show that PowerGraph can accelerate the transaction processing speed by over 5 times …

The researches on Real Time Kinematic GPS (RTK-GPS) have been actively conducted to accurately estimate the location of drones, and there were many use cases applied to drones. However, such systems using RTK-GPS do not provide the protection against network instability, failure of the components that make up the RTK-GPS service. In other words, availability is not provided to ensure the stability of the RTK-GPS. In this paper, we propose an architecture enabling redundancy to improve the availability of RTK-GPS system by switching or parallelizing the GPS correction data sources. We also introduce how to propagate the correction messages through the drone network. After evaluating the system on empirical testbed, we validated that the correction messages propagated without delay, the message source was switched or multiplexed among several message sources through the proposed system …

The advent of the Internet of things (IoT) is changing the way how we interact with the physical world. However, the current Internet suffers from exponential increase in bandwidth demand. In order to resolve the bandwidth issue, we can consider aerial networks by unmanned aerial vehicles (UAV) or the so-called drones for establishing a three-dimensional mobile network in an ad hoc manner. By deploying a network from the sky, we can use the otherwise idle wireless medium and high mobility free from ground obstacles. Aerial networks are especially effective for supporting the temporary surge of population as well as disaster areas because building an additional network infrastructure requires extensive time. In this paper, we propose an efficient handover mechanism for aerial networks in the three-dimensional space, which significantly differs from the conventional two-dimensional schemes. The proposed …

Blockchain technology innovatively removes the need for intermediaries and establishes a trust-less trust system by peer-to-peer networks and distributed ledger technology. It is still difficult to clarify the specific degree of decentralization of blockchain even though the decentralized characteristic of the system is derived from this system structure. Namely, the criteria for determining whether decentralized are not well established and do not reflect the real world well. So we propose two approaches to measure the degree of decentralization of blockchain system that currently exists: Censorship resistance and geographical diversity. This paper outlines the meaning of each decentralization quotient and explains how those indices can be applied in respect of the user protection.

In this paper, we address the performance analysis of Direct Acyclic Graph (DAG)-based cryptocurrency on the basis of its native structure. Several attempts on existing blockchain-based cryptocurrencies to resolve the limitation of the transaction processing rate has resulted in numerous form of solutions, such as side-chain, off-chain or data sharding. While those efforts are dedicated to overcome the limitation that the one-dimensional data structure has, a two-dimensional form of distributed ledger as known as DAG-based cryptocurrency has been emerged. Comparing with blockchain-based cryptocurrencies, DAG-based cryptocurrencies feature relatively faster issuance and confirmation of the transactions due to the individual processing method of the transactions. However, existing DAG-based cryptocurrencies also suffer from the instability of the performance, since the confirmation or validation delay can be …

Quality of service (QoS) provisioning is one of the most important criteria in newly emerging UWB-operated WPANs, as they are expected to support a wide variety of applications from time-constrained, multimedia streaming to throughput-hungry, content transfer applications. As such, the Enhanced Distributed Coordinated Access (EDCA) mechanism has been adopted by MultiBand OFDM Alliance in its UWB MAC proposal. In this paper, we conduct a rigorous, comprehensive, theoretical analysis and show that with the currently recommended parameter setting, EDCA cannot provide adequate QoS. In particular, without responding to the system dynamics (eg, taking into account of the number of active class-i stations), EDCA cannot allocate bandwidth in a deterministic proportional manner and the system bandwidth is under-utilized. After identifying the deficiency of EDCA, we propose, in compliance with the EDCA-incorporated UWB MAC protocol proposed in [15][20], a framework, along with a set of theoretically grounded methods for controlling medium access with deterministic QoS for UWB networks. We show that in this framework, 1) real-time traffic is guaranteed of deterministic bandwidth via a contention-based reservation access method; 2) best-effort traffic is provided with deterministic proportional QoS; and moreover, 3) the bandwidth utilization is maximized. We have also validated and evaluated the QoS provisioning capability and practicality of the proposed MAC framework both via simulation and empirically by leveraging the MADWifi (Multiband Atheros Driver for WiFi) Linux driver for Wireless LAN devices with the Atheros chipset.

WINE LAB.

교수님 소개

김황남

연구실 소개

연구실 키워드

알럼나이가 간 회사

연구실 지원 방법

대우 조건

연도별 논문 인용수

저널 & 학회 논문 출판 수

연구실 논문 목록

Conditional Generative Framework with Peak-Aware Attention for Robust Chemical Detection under Interferences

Beyond Learning: A Training-Free Alternative to Model Adaptation

TiDoSGAN: Enhanced Generative Adversarial Network for NFC Restoration

연구실 보유 특허

대학별 입시끈

우리 연구실 모집

교수님 소개

김황남

연구실 키워드

알럼나이가 간 회사

연구실 지원 방법

대우 조건

연도별 논문 인용수

저널 & 학회 논문 출판 수

연구실 논문 목록

Conditional Generative Framework with Peak-Aware Attention for Robust Chemical Detection under Interferences

Beyond Learning: A Training-Free Alternative to Model Adaptation

TiDoSGAN: Enhanced Generative Adversarial Network for NFC Restoration

연구실 보유 특허

최근 3년간 연구실적 높은 연구실

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