A5089837049- Methane Hydrates and Related Phenomena
- CO2 Sequestration and Geologic Interactions
- Spacecraft and Cryogenic Technologies
- Carbon Dioxide Capture Technologies
- Hydrocarbon exploration and reservoir analysis
- Inorganic Fluorides and Related Compounds
- Advanced Memory and Neural Computing
- Ferroelectric and Negative Capacitance Devices
- Innovation in Digital Healthcare Systems
- Human Mobility and Location-Based Analysis
- Consumer Retail Behavior Studies
- Neuroscience and Neural Engineering
- Supramolecular Chemistry and Complexes
- Sharing Economy and Platforms
- Urban Planning and Valuation
- Technology and Data Analysis
- Retinal Development and Disorders
- Hybrid Renewable Energy Systems
- Biochemical and biochemical processes
- Employee Welfare and Language Studies
- Chinese history and philosophy
- Vietnamese History and Culture Studies
- Advanced biosensing and bioanalysis techniques
- BIM and Construction Integration
- Veterinary Practice and Education Studies
Georgia Institute of Technology
2024
Gwangju Institute of Science and Technology
2018-2023
Dongguk University
2022-2023
Seoul National University
2022
Centre Scientifique et Technique du Bâtiment
2018-2020
Korea Advanced Institute of Science and Technology
2018
Kootenay Association for Science & Technology
2018
Paris-Est Sup
2018
ConspectusClathrate hydrates, also known as gas are a type of inclusion compound formed in highly developed nanoporous lattice spaces created by water molecules, where molecules such CO2, H2, CH4, and other low-molecular-weight liquid trapped. The cage serves the "host", while trapped or tetrahydrofuran act "guests". Early on, clathrate hydrates drew attention potential replacement for conventional natural due to their hydrate form, which contains gases guests exists permafrost sea floors....
Nitride film played an essential role as excellent diffusion barrier in the semiconductor field for several decades. In addition, interest next-generation memories induced researchers' attention to nitride a new storage medium. A Pt/AlN/TaN device was investigated resistive random-access memory (RRAM) application this work. Resistive switching properties were examined AlN thin formed by atomic layer deposition (ALD). The unique feature conducted under positive voltage investigated, while...
Can we create even more "plenty of room at the bottom" confined nanospaces in clathrate hydrates by tuning complex interactions between host water frameworks and guest molecules? Because lattice hydrate is stabilized van der Waals forces guest, irradiating with energetic particles anticipated to introduce artificial defects on molecules, resulting creating a better occupation molecules. Here, explored effects proton irradiation intermolecular hydrogen intramolecular polar covalent bonds THF...
This study reports the thermochemical transformation of lignin model compounds using nanoparticle organic hybrid materials (NOHMs). NOHMs have recently been developed as an emerging class self-suspended solvent systems created by ionically or covalently grafting oligomers polymers (canopy) onto surface-modified inorganic nanoparticles (core). Because exhibit negligible vapor pressure with ability to tailor physicochemical properties, they could be a promising catalytic for conversion...
With the rapid growth of sharing economy, there has been a bitter controversy on disruptive nature economy to threaten traditional industry. This study examines impact ride-sharing services, which is one most successful business models in taxi Using comprehensive data Uber and transactions New York City from April September 2014, we find that negatively associated with demand for taxis. Interestingly, this effect contingent upon market- customer-segments. The negative taxis mostly driven...
점차 행동인식 어플리케이션 또는 서비스에 대한 관심이 높아지는 가운데, 본 논문은 도시 내에서 사람들의 장소 방문 정보를 담은 influential context를 통해 그의 행동을 예측하는 모델을 제안하고 성능을 분석한다. 이 context에는 장소, 시간, 머문 이동 수단을 포함하며, 이들은 정보로부터 쉽게 구해 질 수 있는 것이다. 특히 context 정보들 간에는 매우 높은 인과성이 존재하고 이를 바탕으로 다음 예측한다. 위해 정보간의 인과성과 activity sequence pattern을 효과적으로 찾아내는 Bayesian Network(BN)을 설계하였으며, 다양한 정보와 간의 인과성을 표현 하고 자원 사용과 성능 면에서 개선된 계층적 BN을 제안하였다. 모델은 장소의 이동과 활용에 관련된 광범위한 활용함으로써 단순한 GPS 데이터 기반의 시간적 패턴 연구에 비해 보다 정확한 예측을 지원한다. 제안 ATUS 데이터를 사용하여 평가하였는데, 비교적 명확히 정의된...