지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 한국전자파학회JEES Journal of Electromagnetic Engineering And Science Journal of Electromagnetic Engineering And Science Vol.25 No.2
- 발행연도
- 2025.3
- 수록면
- 190 - 201 (12page)
이용수
초록· 키워드
오류제보하기
In recent years, various fields have conducted extensive research on neural network learning to address the growing demand for miniaturization and multi-functionalization of wireless devices. In this paper, we propose a data-selective learning algorithm that uses resonance parameters based on stacked data augmentation to predict the wideband impedance characteristics of printed spiral coil (PSC) structures, which are widely used as radio-frequency interference measurement probes. The proposed model utilizes a multilayer perceptron (MLP) neural network to predict the impedance of PSCs. The training data used in this study comprised 604 PSC design structures, with the self-impedance of the PSC corresponding to 600 frequencies. To achieve efficient data learning for wideband impedance prediction, a data selection algorithm that uses the difference between the resonance parameters of the predicted and target impedances in the high frequency
range is proposed. To further enhance learning efficiency and improve model stability, we introduced a novel method that combines data selection and stacked data augmentation. The model with the proposed data selection and augmentation algorithm demonstrated efficient learning and accurate impedance prediction using approximately 54.4% less training data than a conventional MLP neural network model. Furthermore, the proposed model was validated through electromagnetic field simulation, showing an accuracy of up to 6 GHz.
range is proposed. To further enhance learning efficiency and improve model stability, we introduced a novel method that combines data selection and stacked data augmentation. The model with the proposed data selection and augmentation algorithm demonstrated efficient learning and accurate impedance prediction using approximately 54.4% less training data than a conventional MLP neural network model. Furthermore, the proposed model was validated through electromagnetic field simulation, showing an accuracy of up to 6 GHz.
목차
Abstract
Ⅰ. INTRODUCTION
Ⅱ. PSC STRUCTURE AND TRAINING DATA EXTRACTION
Ⅲ. PROPOSED DATA SELECTIVE LEARNING ALGORITHM USING RESONANCE PARAMETERS BASED ON STACKED DATA AUGMENTATION FOR WIDEBAND IMPEDANCE PREDICTION OF PSC
Ⅳ. RESULTS AND VALIDATION
Ⅴ. CONCLUSION
REFERENCES
참고문헌 (0)
참고문헌 신청함께 읽어보면 좋을 논문
논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!
-
New Perspectives on Impedance Control
대한기계학회 춘추학술대회
2024 .11
-
Advances and challenges in impedance-based structural health monitoring
Structural monitoring and maintenance
2017 .01
-
Reinforcement Learning-based Sim-to-Real Impedance Parameter Tuning for Robotic Assembly
제어로봇시스템학회 국제학술대회 논문집
2021 .10
-
A Novel Impedance Measurement Method for Three-Phase Power Electronic Systems
ICPE(ISPE)논문집
2015 .06
-
딥 뉴럴 네트워크 기반의 음성 향상을 위한 데이터 증강
멀티미디어학회논문지
2019 .07
-
Wideband Mobile Antenna Design Using a Resonant Feeding Structure
Journal of Electromagnetic Engineering And Science
2022 .05
-
임피던스 기반 Li₄Ti₅O12 배터리의 전기적 특성 분석
대한전기학회 학술대회 논문집
2017 .04
-
New Techniques for Impedance Characteristics Measurement of Islanded Microgrid based on Stability Analysis
JOURNAL OF POWER ELECTRONICS
2016 .05
-
A method for in-situ measurement of grid impedance and load impedance at 2 k – 150 kHz
ICPE(ISPE)논문집
2015 .06
-
Stability Analysis of an Islanded Microgrid Based on Impedance Characteristics
ICPE(ISPE)논문집
2015 .06
-
변압기 용량에 따른 % 임피던스의 비교
한국조명·전기설비학회 학술대회논문집
2021 .11
-
무선주파수 간섭 측정을 위한 Printed Spiral Coil (PSC) 프로브의 고주파 모델링
한국전자파학회논문지
2018 .01
-
Extended Fault Location Algorithm Using the Estimated Remote Source Impedance for Parallel Transmission Lines
Journal of Electrical Engineering & Technology
2018 .11
-
G-parameter를 이용한 직류 마이크로그리드의 컨버터 상호 안정도 분석 및 가상 임피던스를 이용한 안정도 향상
전력전자학회논문지
2018 .10
-
A Study on specific region detection and recognition based on Transfer-Learning and Data Augmentation
INTERNATIONAL CONFERENCE ON FUTURE INFORMATION & COMMUNICATION ENGINEERING
2019 .06
-
무선주파수 간섭 측정용 차폐된 Printed Spiral Coil(PSC) 프로브의 대역폭 개선 설계
한국전자파학회논문지
2018 .05
-
Modeling and Analysis for Output Impedance of Buck Converters
ICPE(ISPE)논문집
2015 .06
-
확산 모델 기반 데이터 증강 최신 연구 동향
대한전자공학회 학술대회
2024 .06
-
Early Detection of Intravenous Infiltration Using Multi-frequency Bioelectrical Impedance Measurement System : Pilot Study
Journal of information and communication convergence engineering
2017 .06
-
Data Augmentation and Deep Learning for the Fault Diagnosis of Rotating Machines
대한기계학회 춘추학술대회
2021 .11
이 논문의 저자 정보
최근 본 자료
댓글(0)
0