Jaehun Lee

ORCID: 0009-0001-9950-4406
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About
Contact & Profiles
Research Areas
  • Probabilistic and Robust Engineering Design
  • Data Quality and Management
  • Semantic Web and Ontologies
  • Radio Frequency Integrated Circuit Design
  • Computational Fluid Dynamics and Aerodynamics
  • Supply Chain and Inventory Management
  • Biomedical Text Mining and Ontologies
  • Semiconductor materials and devices
  • Wind and Air Flow Studies
  • Advanced Multi-Objective Optimization Algorithms
  • Advanced Power Amplifier Design
  • Multi-Criteria Decision Making
  • Nutritional Studies and Diet
  • Analog and Mixed-Signal Circuit Design
  • Recommender Systems and Techniques
  • AI in Service Interactions
  • Sustainable Supply Chain Management
  • Model Reduction and Neural Networks
  • Advancements in Semiconductor Devices and Circuit Design
  • Aeroelasticity and Vibration Control
  • Organizational Leadership and Management Strategies
  • Advanced Database Systems and Queries
  • Blockchain Technology Applications and Security
  • FinTech, Crowdfunding, Digital Finance
  • Data Management and Algorithms

Samsung (South Korea)
2016-2023

Kyungnam University
2018

SK Group (South Korea)
2016

Pohang University of Science and Technology
2014

Korea Advanced Institute of Science and Technology
2009

Artificial intelligence (AI) has been altering industries as evidenced by Airbnb, Uber and other companies that have embraced its use to implement innovative new business models. Yet we may not fully understand how this emerging rapidly advancing technology influences model innovation. While many are being made vulnerable competitors equipped with AI technology, study attempts focus on the proactive side of drive Describing catalyst innovation, sheds light contingent factors shaping...

10.3390/joitmc5030044 article EN cc-by-nc-nd Journal of Open Innovation Technology Market and Complexity 2019-07-22

This paper presents a wide dynamic range (DR) CMOS root-mean-square power detector with temperature variation compensation technique in 28-nm process. The cascaded gain amplifiers and squaring circuits the proposed can achieve DR level segmented detection method using switch driver help of modem. A 12-bit current digital-to-analog converter is used to calibrate dc offset 25- <formula formulatype="inline" xmlns:mml="http://www.w3.org/1998/Math/MathML"...

10.1109/tmtt.2016.2519030 article EN IEEE Transactions on Microwave Theory and Techniques 2016-01-01

Multimode cellular RFICs need high dynamic range in order to simultaneously satisfy the linearity requirements of LTE and low-noise performance 2G. Traditionally, SAW filters are employed relax noise-linearity trade-off at cost higher BOM. In a highly competitive market, mobile devices support >35 bands, number which is expected rise further future, providing strong motivation for SAW-less transmitter (TX) design. An TX operating single resource-block (RB) mode susceptible spurious...

10.1109/isscc.2017.7870340 article EN 2022 IEEE International Solid- State Circuits Conference (ISSCC) 2017-02-01

As LTE offers the best wireless experience as never before, people spend much more time on smartphones to enjoy internet surfing and social networking, etc. To further improve network efficiency, recently, Power-Class 2 (PC2) High Power User Equipment (HPUE) applied B41 is deployed. support HPUE, RF transmitters (TXs) need deliver higher output power while maintaining stringent linearity requirements of emission mask, especially for third-order Counter Intermodulation (CIM3) in one Resource...

10.1109/isscc.2018.8310239 article EN 2022 IEEE International Solid- State Circuits Conference (ISSCC) 2018-02-01

Purpose Workforce diversity is becoming a crucial matter in the area of internal communication. Realizing that there are multiple brackets within body workforce (i.e. audience), purpose this paper to develop an intermediate approach manage by segmenting audience. Design/methodology/approach Developing segmentation for managing diversity, authors recommended use few mathematical methodologies, including expectation-maximization algorithm, partial least squares structural equation model...

10.1108/ccij-05-2015-0024 article EN Corporate Communications An International Journal 2016-10-03

In this article, unconstrained trust region methods are studied and applied in aerodynamic shape optimization. Trust high-performance gradient-based optimization methods. The theory of is explained, a subproblem solved using the dogleg method Moré–Sorensen method. After verifying via analytical test problems, they to design for transonic subsonic flows.

10.1080/03052150802596068 article EN Engineering Optimization 2009-04-23

In this study, a reliability analysis was performed for the aerodynamic analysis. Among various methods, moment method used and results were compared with other methods. The of 2D airfoil, 3D wing body configuration considered. case computed by parameterising an airfoil shape using PARSEC function considering uncertainties its shape. configuration, it flow conditions.

10.1080/10618560902984422 article EN International journal of computational fluid dynamics 2009-07-01

The World Health Organization and the American College of Sports Medicine have released guidelines on physical activity sedentary behavior, as part an effort to reduce inactivity worldwide. However, date, there is no computational model that can facilitate integration these recommendations into health solutions (e.g., digital coaches). In this paper, we present operational machine-readable represents able reason about guidelines. To end, adopted a symbolic AI approach combines two paradigms...

10.3390/app12041776 article EN cc-by Applied Sciences 2022-02-09

This study presents an ecien t strategy for reliability analysis under multidisciplinary systems. Existing methods have performed the using nonlinear optimization techniques. is mainly due to fact that they directly apply Multidisciplinary Design Optimization(MDO) frameworks formulation. Accordingly, and Analysis(MDA) are tightly coupled in a single optimizer, which hampers utilizing recursive functionapproximation based such as Advanced First Order Reliability Method(AFORM). In order...

10.2514/6.2004-4517 article EN 12th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference 2004-08-30

Based on robustness of split-gate embedded Flash (eFlash) bit-cell, 28-nm eFlash process with IP (20Mb) and SRAM (32Mb) is developed for automotive Grade 1 (G1) application temperature range (-40~150°C) the first time. In case single flash cell evaluation, sufficient sensing margin tight current distribution, decent endurance retention characteristics have been demonstrated. A new type scheme introduced to compensate degradation at high temperature, called SAPVL (Sense amp Proportional...

10.1109/imw51353.2021.9439602 article EN 2021-05-01

본 논문에서는 CFD/FreeWake 연계해석방법을 이용하여 헬리콥터 로터의 공력을 해석하였다. 연계해석방법은 CFD를 로터주변의 얻고, 후류의 거동은 FreeWake를 모사한다. FreeWake 모델은 CFD의 경계조건을 제공하고, CFD는 후류형성을 위한 로터블레이드 양력변화율을 제공하는 방법으로 연계된다. 다른 로터공력해석 방법에 비하여 높은 정확도와 계산 시간 절감으로 효율적인 계산을 가능하도록 한다. this study, helicopter rotor flow is simulated by using a tightly coupled method to describe wake characteristics and calculate the field aerodynamics. In method, freewake model provides boundary condition required in CFD calculation pressure distribution on blade...

10.5139/jksas.2007.35.11.957 article EN Journal of the Korean Society for Aeronautical & Space Sciences 2007-11-30

We propose a semantic dietary coaching system for personalized chronic disease management. Technically, we built three types of knowledge graphs (KGs): guideline graph, food and user health graph. These respectively represented prestigious guidelines, ingredients nutrition information from over 500 thousand recipes, as well an individual's lifelog mobile wearable devices status. Through reasoning the KGs, provided through intake diagnosis menu selection. Expert verification showed that our...

10.1109/bigdata55660.2022.10020334 article EN 2021 IEEE International Conference on Big Data (Big Data) 2022-12-17

The role of uncertainty in data management has become more prominent than ever before, especially because the growing importance machine learning-driven applications that produce large uncertain databases. A well-known approach to querying such databases is blend rule-based reasoning with uncertainty. However, techniques proposed so far struggle In this paper, we address problem by presenting a new technique for probabilistic exploits Trigger Graphs (TGs) -- notion recently introduced...

10.1145/3588719 article EN Proceedings of the ACM on Management of Data 2023-05-26

Early depression detection research employs machine learning models trained on crowd-sourcing data. The training data easily suffer from label noise due to weak self-perception of people and uncontrollability collection process. issue is seldom discussed in the previous work. In this work, we firstly introduce influence-based relabeling method task revise labels, further move one step forward propose a threshold ratio function control sample size. size usually ignored influence function, so...

10.1109/smc53654.2022.9945201 article EN 2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC) 2022-10-09
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