A5101779516- Spectroscopy Techniques in Biomedical and Chemical Research
- Spectroscopy and Chemometric Analyses
- Advanced Chemical Sensor Technologies
- Fault Detection and Control Systems
- Advanced Combustion Engine Technologies
- Vehicle emissions and performance
- Combustion and flame dynamics
- Thermography and Photoacoustic Techniques
- Physical Unclonable Functions (PUFs) and Hardware Security
- Fluid Dynamics and Heat Transfer
- Advanced Memory and Neural Computing
- Diabetic Foot Ulcer Assessment and Management
- Anomaly Detection Techniques and Applications
- Metallurgy and Material Forming
- Remote-Sensing Image Classification
- Catalysis and Oxidation Reactions
- Gait Recognition and Analysis
- Electromagnetic Launch and Propulsion Technology
- Hand Gesture Recognition Systems
- E-commerce and Technology Innovations
- Aerosol Filtration and Electrostatic Precipitation
- Time Series Analysis and Forecasting
- Autonomous Vehicle Technology and Safety
- Food Supply Chain Traceability
- Machine Fault Diagnosis Techniques
Hanbat National University
2023
Korea Electric Power Corporation (South Korea)
2022-2023
Hyundai Motor Group (South Korea)
2023
Korea Institute of Industrial Technology
2019-2022
Korea Advanced Institute of Science and Technology
2021
Hanyang University
2015-2019
Chonnam National University
2015-2016
Pusan National University
2014
In gasoline direct-injection engines, in-cylinder flow plays an important role in terms of fuel atomization, mixture, turbulence, combustion, and emission. The is affected by the air-fuel interaction piston shapes, it required to understand optimize these influences. this study, visualization was performed depending on shape spray pattern using particle image velocimetry measurements a two-cylinder optical engine with high-compression ratio spray-guided direct-injection. Effects parameters...
This study simulates the computational fluid dynamics (CFD) to explore design optimization strategies of solid oxide fuel cell (SOFC) afterburner. The CFD modeling with combustion is carried out eddy dissipation concept (EDC), applying a three-step rate-dependent reaction mechanism predict determining step reactions by changes control and parameters. implemented model validated comparison precedent experimental data studies. simulation results examine temperature distribution reactivity...
In this paper, we consider a novel method for identification of Raman spectra recorded on different instruments with wavelengths.
Previous studies of horse RNA-seq were performed by mapping sequence reads to the reference genome during transcriptome analysis. However in this study, we focused on two main ideas. First, differentially expressed genes (DEGs) identified de novo–based analysis (DBA) data from six Thoroughbreds before and after exercise, here-after referred as “de novo unique genes” (DUDEG). Second, integrating both conventional DEGs being selected for domestication Thoroughbred Jeju pony whole re-sequencing...
The growing computational demands of AI inference have led to widespread use hardware accelerators for different platforms, spanning from edge the datacenter/cloud. Certain application areas, such as in high-frequency trading (HFT) [1–2], a hard latency deadline successful execution. We present our new accelerator which achieves high capability with outstanding single-stream responsiveness demanding service-layer objective (SLO)-based services and pipelined applications, including large...
The recognition capability of the identification system using Raman spectroscopy is increasing with demands in field. Among various approaches that determine identity a target, signal correlation moving window one most effective and intuitive methods. In this paper, we report new method robust to spectral intensity variations. Using peak distribution given spectrum, adaptively determines meaningful regions for target. Three commercial spectrometer 14 033 library were included study, which...
This paper proposes fault diagnosis methods aimed at proactively preventing potential safety issues in robot systems, particularly human coexistence robots (HCRs) used industrial environments. The data were collected from durability tests of the driving module for HCRs, gathering time-series vibration until failed. In this study, to apply classification absence post-failure data, initial 50% designated as normal section, and 10 h immediately preceding failure selected section. To generate...
The dissemination of edge devices drives new requirements for security primitives privacy protection and chip authentication. Memristors are promising entropy sources realizing hardware‐based due to their intrinsic randomness stochastic properties. With the adoption memristors among several technologies that meet essential requirements, neural network physically unclonable function (NNPUF) is proposed, a novel PUF design takes advantage deep learning algorithms. proposed integrated with...
In the wake of COVID-19, digital fitness market combining health equipment and ICT technologies is experiencing unexpected high growth. A smart trampoline system a new representative home exercise for muscle strengthening rehabilitation exercises. Recognizing motions user evaluating activity critical implementing its self-guided exercising system. This study aimed to estimate three-dimensional positions user’s foot using deep learning-based image processing algorithms footprint shadow images...
Laboratory-scale data on a component level are frequently used for prognostics because acquiring them is time and cost efficient. However, they do not reflect actual field conditions. As an in-service system, the developed prognostic methods must be validated using real operational obtained from system. Because obtaining much more expensive than test-level data, studies employing scarce. In this study, method screws was presented by multi-source micro-extrusion The analysis of challenging...
Nozzle hydraulic flow rate is a critical parameter that affects the combustion process and plays vital role in production of emissions from diesel engine. In this study, injection characteristics, such as normalized spray tip penetration, were analyzed for different injectors with help experiments. To further investigate effects on engine-out particulate gaseous emissions, engine experiments performed values multiple injectors. Various operating conditions loading configurations examined,...
This study was performed to investigate how the nozzle design parameters affect spray characteristics of a twin-fluid used in wafer cleaning. External mixing-type nozzles, which had various that could be changed, were understand effects each parameter. Deionized water (DIW) and N2 gas as working fluids. Various nozzle, such liquid diameter, slit angle, number critically affected behavior terms both macroscopic microscopic characteristics. Measurements made using Nd:YAG laser an ICCD camera....
Tactile sensors are critical components in robotics fields. Recently, soft tactile sensor utilizing vision is actively developed for safe human machine interaction. Some researches use novel custom-made medium order to achieve sensing. Deep learning can recognize pattern from any data when it has sufficient dataset, i.e., the system does not require specific embedded hardware recognition. To sensor's economical application robot fingers, this paper presents a fundamental experiment on...
When designing a hand caliber with high-temperature, high-pressure internal fluid transport pipe, reliability, safe use, and performance must be considered. Reliability refers to the stress caused by thermo-mechanical load; use low-temperature burns that might occur upon contact, high-temperature gas leakage occurring in cylinder gap; projectile velocity. In this study, numerical simulation methods for heat transfer, structure analysis, are proposed so solutions can designed account above...
최근에 라만스펙트럼에 대한 고속 검색 방법은 많은 관심을 받아왔다. 지금까지 가장 간단하고 널리 사용되는 주어진 스펙트럼과 데이터베이스 스펙트라 사이의 유클리드 거리를 계산하고 비교하는 방법이다. 하지만 고차원 데이터의 속성으로 검색의 문제는 그리 간단하지 않다. 큰 문제점중의 하나는 방법에 있어서 연산량이 많아 계산 시간이 너무 오래 걸린다는 것이다. 이러한 문제점을 극복하기 위해, 코드워드의 MPS(Mean Pyramids Search)와 PDS(Partial Distortion Search)을 사용하는 알고리즘이 현재 이미지 코딩 분야에서 알고리즘으로 사용되고 있다. 이 1차원 경우에는 적합하지 본 논문에서 우리는 라만 스펙트럼 데이터에 적합한 3가지 새로운 방법의 알고리즘을 제안한다. 벡터의 두 개의 주요한 특징으로 평균과 분산을 사용하여 후보가 될 수 없는 코드워드를 계산하지 않으므로 연산량을 줄이고 시간을 줄여준다. 실험은 1DMPS+PDS와 비교하여 1DMPS...
This study estimates the position and depth of user's foot contacts playing on a trampoline by acquiring image footprint shadow processing it to enable quantitative analysis jumping (as fitness exercise) or link computer games. First, hardware prototype monitoring system is proposed, consisting trampoline, an upward-looking wide-angle fish-eye camera module, signal embedded board. Second, image-based three-dimensional contact estimation (I3D-FeE) algorithms are comprising algorithm in...
In spectroscopy, matching a measured spectrum to reference in large database is often computationally intensive. To solve this problem, we propose novel fast search algorithm that finds the most similar database. The proposed method based on principal component transformation and provides results equivalent traditional full method. reduce range, hierarchical clustering employed, which divides spectral data into multiple clusters according similarity of spectrum, allowing start at cluster...
We propose a sensitive colorimetric sensing system for estimating the concentration of Carbon Monoxide (CO) using an optical RGB color sensor. Tasteless and odorless hazardous gas, such as carbon monoxide (CO), can be life-threatening, even at prolonged exposure low concentrations. Early detection these gases under conditions is difficult problem. Thus, studying environmental health, monitoring air quality, safety people from harmful gas exposures have motivated increasing efforts to develop...
Security Primitives In article number 2100111, Shinhyun Choi and co-workers propose a trainable security primitive integrated with deep neural network memristor arrays. The entire system can achieve optimal performance for metrics by training. the cover image, trained encryption only allows access to confidential information through an authenticated code (denoted blue key) secures from adversaries red keys).
본 논문에서는 라만 스펙트럼의 고속 탐색을 위해 특이값 분해(SVD, Singular Value Decomposition)를 이용한 새로운 탐색 알고리즘들을 제안한다. 제안 알고리즘에서는 SVD를 통해 얻은 특이벡터를 중요도에 따라 선별하여 실험에 사용함으로써 계산량 단축을 도모한다. 파일럿 테스트(Pilot test)를 수행하여 일부 데이터들을 미리 대상에서 제외시키고 부분탐색법(PDS, Partial Distance Search)을 적용하여 수행함으로써 큰 폭으로 계산량을 감소시킨다. 사용한 데이터베이스는 총 14,032종의 화학 물질 스펙트럼으로 구성하였으며, 기존의 방법인 전체탐색법(Full Search), PDS와 평균피라미드탐색법(MPS, Mean Pyramid Search)를 1차원공간상의 신호에 적용하기 적절하게 변형한 1DMPS에 PDS를 적용한 실험(1DMPS+PDS), 데이터의 분산을 내림차순 정렬하여 !DMPS와 실험(1DMPS Sort with...