Jung‐Hwan Lee

ORCID: 0000-0003-4826-0648
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Research Areas
  • Advanced Surface Polishing Techniques
  • Metallurgy and Material Forming
  • Metal Forming Simulation Techniques
  • Advanced Biosensing Techniques and Applications
  • Nanofabrication and Lithography Techniques
  • Semiconductor materials and devices
  • Biosensors and Analytical Detection
  • Advanced biosensing and bioanalysis techniques
  • Aluminum Alloy Microstructure Properties
  • Integrated Circuits and Semiconductor Failure Analysis
  • Advancements in Photolithography Techniques
  • Aluminum Alloys Composites Properties
  • Electron and X-Ray Spectroscopy Techniques
  • Thin-Film Transistor Technologies
  • Diamond and Carbon-based Materials Research
  • Powder Metallurgy Techniques and Materials
  • Advanced Machining and Optimization Techniques
  • Advanced Battery Materials and Technologies
  • Advancements in Battery Materials
  • Nanowire Synthesis and Applications
  • Optical Coatings and Gratings
  • Cellular and Composite Structures
  • Metal and Thin Film Mechanics
  • Ultrasound and Cavitation Phenomena
  • Industrial Vision Systems and Defect Detection

Korea Institute of Industrial Technology
2024

Seoul National University
2024

Chonnam National University
2024

Hanyang University
2007-2022

Korea Advanced Institute of Science and Technology
2020

Agency for Defense Development
2014-2020

Anyang University
2019

Korea Institute of Materials Science
2007-2014

MagnaChip (South Korea)
2012

Korea Institute of Machinery and Materials
2004-2006

Polyvinyl acetal (PVA) brush cleaning is one of the most important processes in post chemical mechanical planarization (CMP) process. However, PVA could be severely contaminated due to strong direct contact with a large amount abrasive particles during long-time CMP cleaning, and on can easily transported next wafer substrate. In this study, we tested four different types conditioning remove from increase efficiency process comparatively evaluated using FE-SEM. The physical scrubbing method...

10.1149/2.0111906jss article EN ECS Journal of Solid State Science and Technology 2019-01-01

In this paper, we propose high performance blind modulation classification (BMC) technique based on deep neural network (DNN) for fading channels. First, provide the large and diverse set of features that exhibit statistical relevance to class in Then, use those train DNN classify class. Owing capability learn complex structure dimensional feature space, proposed scheme achieves excellent accuracy using a number challenging environments. Numerical evaluation demonstrates superiority over...

10.1109/ictc.2017.8191038 article EN 2021 International Conference on Information and Communication Technology Convergence (ICTC) 2017-10-01

In this study, the development of post-chemical mechanical polishing (CMP) protocols for cleaning abrasive nanoparticles from In0.53Ga0.47As surfaces was systematically analyzed. Abrasive silica (130 and 289 nm) were intentionally deposited onto InGaAs surfaces. Various concentration ratios chemical etchants such as HCl H2O2 used to control material loss surface oxides InGaAs. The optimal ratio HCl/H2O2 solution exhibited 40% particle removal efficiency (PRE). Application megasonic (MS)...

10.1149/2.0051905jss article EN ECS Journal of Solid State Science and Technology 2019-01-01

Spectral beam combining technique is a simple and straightforward method to obtain high-power laser beam. The system typically consists of three parts: fiber array, transform optical diffraction grating. Performance the (diffraction efficiency induced damage threshold) mainly determined by This paper describes multilayer dielectric gating with high low laser-induced threshold, which can be potentially used combing beams. grating designed coupled-wave analysis, single-beam interference...

10.1088/2515-7647/ab7b0f article EN cc-by Journal of Physics Photonics 2020-02-28

In this paper, a novel bipolar junction transistor (BJT) structure is proposed for high matching characteristics and its performance compared with conventional BJT structure. Although the indicates decrease of collector current density <formula formulatype="inline" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex Notation="TeX">$J_{C}$</tex></formula> gain Notation="TeX">$\beta$</tex></formula> about 5.36% 1.02% those structure,...

10.1109/tsm.2012.2192749 article EN IEEE Transactions on Semiconductor Manufacturing 2012-04-11

The dimensional tolerance of spur gears for automobiles is within the range several micrometres. Therefore, to manufacture these by cold forging, dimensions should be controlled in same range. changes various forging variables analysed and compensated into tool. Computer-aided engineering (CAE) would appropriate investigating effects variables. However, realistic finite element modelling (FEM) techniques confirmed used predict dimension forged part order As considers elastic characteristics...

10.1243/09544054jem295 article EN Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture 2006-07-01

대부분의 모바일 웨어러블 헬스케어 모니터링 의류 시스템은 생체신호를 측정할 수 있는 센서와 데이터 취득과 무선 통신 및 제어를 담당하는 회로부, 이들을 내장하는 의복으로 구성된다. 기존의 의복형 센서를 의복에 장시간 내장하기가 어렵고, 피부 접촉 시 시간에 따라 저항 값이 변화하기 때문에 장기적인 생체 신호 모니터링이 쉽지 않으며, 센서 전극과 회로 사이에 존재하는 신호선의 물리적 장애 요인도 가지고 있다. 본 연구에서는 이러한 문제점들을 해결하기 위하여, PVDF에 PEDOT 재료를 코팅하여 만든 패브릭 나노웹 ECG PVDF 필름을 사용한 호흡 <TEX>$10\;{\mu}m$</TEX> 두께의 디지털 실을 이용하여 사용자의 의류와 일체화하였다. 탈부착이 가능한 블루투스(Bluetooth) 내장 스테이션과 디지털실로 기존 일체화한 측정용 제작을 통해, 휴대폰에서 손쉽게 심전도(ECG)와 맥박신호를 표시 할 있었다. Most wearable system for mobile...

10.3745/kipsta.2010.17a.3.145 article EN The KIPS Transactions PartA 2010-06-30

10.1016/j.matdes.2013.05.019 article EN Materials & Design (1980-2015) 2013-05-23

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10.2139/ssrn.4683605 preprint EN 2024-01-01

Unlike classical systems based on the use of morphological data, modern phylogenetic analyses genetic information to construct trees. Ongoing research in field phylogenetics is evaluating accuracy estimation results and reliability trees explain evolutionary relationships. Recently, probability stochastic errors large-scale datasets has decreased, while systematic increased. Therefore, before constructing a tree, it necessary assess causes bias improve estimates. We performed three...

10.1142/s0219720024500082 article EN Journal of Bioinformatics and Computational Biology 2024-04-01
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