A5103255638- IoT and Edge/Fog Computing
- Cloud Computing and Resource Management
- Mobile Agent-Based Network Management
- Context-Aware Activity Recognition Systems
- Caching and Content Delivery
- Peer-to-Peer Network Technologies
- Data Mining Algorithms and Applications
- Data Management and Algorithms
- Smart Parking Systems Research
- Distributed and Parallel Computing Systems
- Innovation in Digital Healthcare Systems
- Automotive and Human Injury Biomechanics
- Internet of Things and Social Network Interactions
- Traffic and Road Safety
- Indoor and Outdoor Localization Technologies
- Data Stream Mining Techniques
- Fuzzy Logic and Control Systems
- Robotics and Automated Systems
- Machine Learning in Materials Science
- Transportation Safety and Impact Analysis
- Service-Oriented Architecture and Web Services
- Rough Sets and Fuzzy Logic
- Vehicle Dynamics and Control Systems
- Marine and coastal plant biology
- Advanced Clustering Algorithms Research
Seoul National University
2020-2024
Korea Advanced Institute of Science and Technology
2021-2023
Korea University
2021
Korea Institute of Science and Technology
2021
Kunsan National University
2007-2016
Korea Transportation Safety Authority
2015
Korea Transport Institute
2015
Ulsan University Hospital
2013-2014
University of Ulsan
2013
Chonbuk National University Hospital
2010
To examine determinants of fidelity in DNA end joining, a substrate containing model staggered free radical-mediated double-strand break, with cohesive phosphoglycolate-terminated 3′-overhangs and one-base gap each strand, was constructed. In extracts Xenopus eggs, human lymphoblastoid cells, hamster CHO-K1 Chinese ovary (CHO) derivative lacking the catalytic subunit DNA-dependent protein kinase (DNA-PKcs), predominant joining product that corresponding to accurate restoration original...
Recent advancements in AI have revolutionized property prediction materials science and accelerating material discovery. Graph neural networks (GNNs) stand out due to their ability represent crystal structures as graphs, effectively capturing local interactions delivering superior predictions. However, these methods often lose critical global information, such systems repetitive unit connectivity. To address this, we propose CAST, a cross-attention-based multimodal fusion model that...
New solid-state materials have been discovered using various approaches from atom substitution in density functional theory (DFT) to generative models machine learning. Recently, shown promising performance finding new materials. Crystal generation with deep learning has applied methods discover crystals. However, most can only be specific elements or generate structures random compositions. In this work, we developed a model that crystals desired compositions based on crystal diffusion...
Abstract High-throughput virtual screening for crystals aims to discover new materials by evaluating the property of every candidate in database exhaustively. During this process, major computational bottleneck is costly structural relaxation each hypothetical material on large-scale dataset using density functional theory (DFT) calculations. Here, we present a generative domain translation framework that maps unrelaxed domains relaxed domains, enabling data-driven translations. The model...
Wind energy has proven its viability by the emergence of countless wind turbines around world which greatly contribute to increased electrical generating capacity farm operators. These infrastructures are usually deployed in not easily accessible areas; therefore, maintenance routines should be based on a well-guided decision so as minimize cost. To aid operators prior process, condition monitoring system able accurately reflect actual state turbine and major components order execute...
서 론 한국 서해안의 해조류에 대한 연구는 Kang(1966)의 연구 에서 104종이 보고된 이래 주로 구계론적인 연구가 수행되어 왔으나, 그 후 이를 기초로 하여 점차 군집의 구조를 밝히는 생태학적 연구로 접근되어 왔다.이와 같은 연구들에서는 주 로 Taniguti(1962) 및 Saito와 Atobe(1970)가 이용한 방형구 법으로 식생 구성 종들의 피도와 빈도를 조사하여 우 점종, 수직분포 현존량 변화를 규명하였으며, 다변량 분 석, 종간 상관관계, 종다양성 분석 배열법 등으로 해조군 집에 새로운 방향을 모색하기도
This paper presents the maximum tire-road friction coefficient estimation algorithm which considers about effect of states. Tire force information is an important factor for active safety system. However, it difficult to estimate due dependency on many states such as vehicle speed, tire pressure, and wear. In this paper, several experimental researches previous algorithms are reviewed summarized. The influential method doesn't require extra sensors were determined combined. proposed consists...
The recent issues in healthcare systems are the mobility of patients to do their normal work and at same time monitored frequently by physicians be aware current condition patient. This research presents ubiquitous intelligent framework which is an efficient integration software hardware components system. focus our study concerned about senior citizens' monitoring using mobile agents. migration physician agents base station provides QoS patient for paper proposes a novel clustering method...
A hybrid middleware for RFID-based parking manage- ment system is presented in this paper. The publish- subscribe approach combined with group communica- tion overlay networks the design of event monitors and application service connectors to comprise core a middleware. In paper, communication relevant P2P focus tech- nology development. peer nodes provide an efficient abstraction handle events from RFID readers vehicle identity detectors be processed by services applications that run...
김 등 1995).
This paper proposes a u-Healthcare system that can perceive emergency situations in chronic hypertension patients and initiate action. The proposed considers patient mobility integrates medical recommendations knowledge base communication protocols between agents an RFID Cell phone architecture. A comparison analysis of the operational characteristics implemented is provided. supply information to assist normal health management as well situations.
서 론한국 남서해안의 해안선은 육지의 연장으로 이루어진 수 많은 만과 섬들로 연결되어 매우 복잡하다.조간대 해조류의