A5057081769- Radio Frequency Integrated Circuit Design
- Analog and Mixed-Signal Circuit Design
- Energy Harvesting in Wireless Networks
- Advancements in PLL and VCO Technologies
- Advanced Combustion Engine Technologies
- Wireless Power Transfer Systems
- Vehicle emissions and performance
- Privacy-Preserving Technologies in Data
- Real-time simulation and control systems
- Digital Marketing and Social Media
- Machine Learning in Healthcare
- Mental Health Research Topics
- Internet of Things and Social Network Interactions
- Embedded Systems Design Techniques
- Low-power high-performance VLSI design
- Digital Mental Health Interventions
- Advanced MIMO Systems Optimization
- Engineering Applied Research
- Advanced DC-DC Converters
- Sentiment Analysis and Opinion Mining
- Sensor Technology and Measurement Systems
- Semiconductor materials and devices
- Diet and metabolism studies
- Mental Health via Writing
- Real-Time Systems Scheduling
Gachon University
2018-2025
Sungkyunkwan University
2013-2024
Scripps Korea Antibody Institute
2021-2023
Severance Hospital
2021
Gangnam Severance Hospital
2021
Yonsei University
2021
Pusan National University Hospital
2018-2021
Pusan National University
2021
Biomedical Research Institute
2018
Hanyang University
2004-2011
This brief presents a three-way Doherty power amplifier (DPA) with symmetric structure in terms of the output capacities between carrier and peaking amplifiers for high efficiency linearity. Based on analysis peak at back-off, was adopted to have higher overall modulated signal. Through optimized bias condition two amplifiers, proposed DPA can be linearized wide range. To validate scheme, designed implemented using 60 W GaN-HEMT 30 GaN-HEMTs amplifiers. Using 2.14 GHz long-term evolution...
Purpose Meal ordering apps (MOAs) have transformed the customers' dining habits, particularly during mobility restrictions of COVID-19 pandemic. Under theoretical cover extended stimulus–organism–response (SOR) model, this paper attempts to explore critical antecedents and outcomes customer MOA engagement which predict continuous purchase intentions using these apps. A multigroup analysis is conducted investigate difference between hypothesized relationships Chinese Indonesian consumers....
Federated learning (FL) is a decentralized machine (ML) method that enables model training while preserving privacy. FL gaining attention because it avoids data transfer to the server, facilitating of traditional ML model. Despite its potential, project significantly more challenging develop than centralized methods owing local data. We propose <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">FedOps</i> , federated operations for constructing...
A vehicle localization system can be extremely useful for intelligent transformation systems (ITS) such as advanced driver assistance (ADASs), emergency notification systems, and collision avoidance systems. To optimize the performance of algorithms that analyze multi-sensor data processed using a Kalman filter have been developed. However, with single process model cannot guarantee accuracy under various driving conditions, because does not cover all situations. Therefore, we present...
Purpose This study examines how service feedback and physician popularity affect demand in the context of virtual healthcare environment. Based on signaling theory, critical factor environment uncertainty (i.e. disease risk) its impact is also investigated. Further, research endogeneity online reviews examined current study. Design/methodology/approach A secondary data econometric analysis using 3-wave sets 823 physicians obtained from two PRWs (Healthgrades Vitals) was conducted. The run...
Purpose This study addresses tourists' post-consumption perspectives on the impact of online destination experiences and animosity travel decisions. Developing a framework based stimulus-organism-response (SOR) theory, we examine previously unexplored relationship between post-negative events, brand experience (ODBE), boycott intentions within domestic tourism context. Design/methodology/approach Data from 355 actively engaged travelers in Pakistan who follow social media pages (i.e....
The evolution of artificial intelligence (AI) has unveiled considerable prospects for delivering efficacious solutions in the medical domain. Nevertheless, existing legal frameworks and concerns regarding data privacy associated with information impose substantial constraints on implementing AI this Federated learning is a paradigm that enables training machine models decentralized manner without transferring to central repository, allowing model development while preserving across other...
<sec> <title>BACKGROUND</title> The COVID-19 pandemic has exposed the vulnerabilities of global supply chains (SC), particularly within healthcare sector, underscoring need for advanced methods to enhance SC resilience and sustainability. Pandemics, such as Influenza, pose considerable risks chain (HSC) performance, demanding robust analytical tools optimize system efficiency under uncertain conditions. </sec> <title>OBJECTIVE</title> In this paper, we map current literature synthesize...
During the COVID-19 pandemic, social media platforms emerged as both vital information sources and conduits for rapid spread of propaganda misinformation. However, existing studies often rely on single-label classification, lack contextual sensitivity, or use models that struggle to effectively capture nuanced cues across multiple categories. These limitations hinder development robust, generalizable detection systems in dynamic online environments. In this study, we propose a novel deep...
Pakistan is the world's sixth most populated country, with a population of approximately 208 million people. Despite this, just 25% legitimate couples say they have used modern contraceptive methods. A large body literature has indicated that sexual satisfaction complex and multifaceted concept, since it involves physical cultural components. The purpose this study to investigate impact influencing factors in terms self-efficacy (CSE), knowledge, spousal communication on adoption methods for...
Federated learning (FL) that can train using machine methods without moving data have attracted interest owing to the focus on privacy. Several FL platforms and frameworks are being developed with various open datasets. However, has not yet been fully utilized in real-world projects; instead, centralized ML models still used for AI. Since is composed of numerous clients executed, it necessary manage lifecycle such as model deployment status management multiple order operate FL. This study...
This literature review explores artificial intelligence (AI) technology trends and IBM Watson health medical references. study explains how healthcare will be changed by the evolution of AI technology, also summarizes key technologies in AI, specifically Watson. We look at this issue from perspective ‘information overload,’ that doubles every three years, with approximately 700,000 new scientific articles being published year, addition to explosion patient data. Estimates are forecasting a...
Accurate and timely diagnosis is a pillar of effective healthcare. However, the challenge lies in gathering extensive training data while maintaining patient privacy. This study introduces novel approach using federated learning (FL) cross-device multimodal model for clinical event classification based on vital signs data. Our architecture employs FL to train several machine models including random forest, AdaBoost, SGD ensemble The were sourced from diverse clientele at Boston hospital...
The incidence and global burden of inflammatory bowel disease (IBD) have steadily increased in the past few decades. Improved methods to stratify risk predict disease-related outcomes are required for IBD.The aim this study was develop validate a machine learning (ML) model 5-year starting biologic agents IBD patients.We applied an ML method database Korean common data (K-CDM) network, sharing consortium tertiary centers Korea, patients. records analyzed were those patients diagnosed with...