https://scholar.dgist.ac.kr/handle/20.500.11750/10133 2026-11-11T10:58:48Z https://scholar.dgist.ac.kr/handle/20.500.11750/61097 Title: Multi-modality image fusion model of AFM-derived extracellular vesicles for NSCLC subtype diagnosis Author(s): Kim, Haeyoung; 박수현; Lee, Yoonhee; Ban, Jaepil; Koo, Gyogwon Abstract: Non-small cell lung cancer (NSCLC) comprises multiple subtypes with distinct treatment strategies, making accurate subtype classification important. Therefore, this study aims to develop a multi-modality AFM-based deep learning model to improve NSCLC subtype diagnosis because extracellular vesicles (EVs) measured by atomic force microscopy (AFM) contain nanoscale biophysical information with diagnostic potential. The proposed model introduces two key components: (i) an intra-image feature extractor (IFE), which captures parameter-specific local and global dependencies, and (ii) a cross-image feature fusion module (CFFM), which mitigates domain mismatch among heterogeneous AFM parameters. Through three fusion strategies at the image, low-level feature, and high-level feature stages, the proposed model simultaneously learns intraparameter and inter-parameter relationships. The proposed model achieved an accuracy of 0.9245 and an area under the receiver operating characteristic curve (AUROC) of 0.9804, outperforming the AFM-based conventional state-of-the-art (SOTA) model by improvements of 0.1328 in accuracy and 0.0273 in AUROC. These results demonstrate that the proposed multi-modality fusion approach achieves superior diagnostic performance for AFM-based EV analysis. Furthermore, the proposed framework has the potential to be extended to AFM-based analysis of other cell types and diseases once large-scale datasets are secured. Code is released at https://github.com/sunh124/MMIF_Model_of_AFM-derived_EV. 2026-09-30T15:00:00Z https://scholar.dgist.ac.kr/handle/20.500.11750/60966 Title: Interpretable In-Cabin Occupancy Detection Using FHRS-Based Residual Features from Fixed-ROI UWB Radar Signals Author(s): Cho, Hui-Sup; Park, Young-Jin Abstract: Vehicle in-cabin occupancy detection supports restraint-system control, child presence detection, and intelligent cabin sensing, with child presence detection linked to safety assessment frameworks such as the European New Car Assessment Program. High-dimensional radar representations show strong potential, but their physical basis can be difficult to interpret. Engineered-feature approaches improve interpretability, yet few explicitly separate the linear-delay component from the residual structure of the complex reflection response. This study proposes an interpretable representation derived from the complex reflection ratio within a fixed time-domain region of interest (ROI). The method extracts direct-delay cues, frequency-domain Hilbert residual signature (FHRS) scalar features, and continuous wavelet transform (CWT)-based residual-delay and log-magnitude-derivative shape features. In the original experiment, the residual-centered condition achieved 97.72% accuracy and a 97.73% macro F1-score, whereas the direct-delay-only condition achieved 100.00%. A separately acquired 20-trial challenge experiment used Empty Seat, Person, and Human-like Object-loaded Seat conditions, with a human-shaped test object used for the latter. In this challenge, the direct-delay-only, residual-centered, and all-feature conditions achieved accuracies of 79.44%, 96.92%, and 97.39%, respectively. These results demonstrate that residual features provide nonredundant discriminative information when direct-delay cues alone are insufficient. Participant-independent, cross-vehicle, and cross-installation generalization remain to be verified. 2026-07-31T15:00:00Z https://scholar.dgist.ac.kr/handle/20.500.11750/60921 Title: 에르고스테롤 검출용 프로브 및 이의 제조방법 Author(s): 김정희; 김은주; 최은숙 https://scholar.dgist.ac.kr/handle/20.500.11750/60914 Title: 시간 은행 기반 시골 빈집 공유 플랫폼 시스템 및 그 방법 Author(s): 조효비; 윤진효 Abstract: 본 발명은 시간 은행 기반 시골 빈집 공유 플랫폼 시스템 및 그 방법에 관한 것이다. 본 발명에 따르면, 집주인 단말로부터 시골 빈집 공유 의사를 포함한 시골 빈집 정보를 등록받아 각 지역 별 빈집 리스트를 구축하는 빈집 데이터 구축부; 빈집 이용 희망자 측의 희망자 단말에게 상기 지역 별 빈집 리스트를 제공하고 빈집 리스트 내에서 희망하는 빈집을 신청받고 해당 빈집에 설정된 기본 수리비를 안내하는 빈집 거주 신청부; 상기 희망자의 기본 수리비의 입금이 확인되면 상기 기본 수리비에 대응하는 보상 시간을 상기 희망자의 시간은행 계좌로 적립하는 시간 은행 관리부; 및 적어도 하나의 시간 기부자 측의 기부자 단말에게 빈집 별 지급된 보상 시간 정보를 포함한 빈집 리스트를 제공하고, 시간 기부를 희망하는 빈집과 기부 가능 시간 정보를 선택받아 희망자와 시간 기부자 간을 매칭하는 제어부를 포함하는 시간 은행 기반 시골 빈집 공유 플랫폼 시스템을 제공한다. 이와 같은 본 발명에 따르면, 시골 살이에 충분한 경험이 없는 도시인들이 시골 주택을 구매하지 않고 최소한의 비용으로 시골살이에 필요한 노하우와 노동력을 제공받을 수 있도록 한다.