https://scholar.dgist.ac.kr/handle/20.500.11750/1921 2026-08-05T13:13:56Z https://scholar.dgist.ac.kr/handle/20.500.11750/60558 Title: 온감 측정 장치, 온감 측정 시스템 및 그것의 온감 측정 방법 Author(s): 최유빈; 김항겸; 김회준 Abstract: 본 발명의 실시예에 따른 온감 측정 장치는, 온도 구배가 내부에 발생함에 따라 전기를 생성하는 초전 소자부, 및 상기 초전 소자부의 일측부에 연결되고 상기 초전 소자부를 상온과 다른 설정 온도로 유지하도록 상기 초전 소자부에 열기 또는 냉기를 제공하는 온도 조절부를 포함한다. https://scholar.dgist.ac.kr/handle/20.500.11750/60535 Title: Biodegradable single-electrode triboelectric nanogenerator for self-powered robotic texture sensing Author(s): Hajra, Sugato; Pal, Shibam; Kaja, Kushal Ruthvik; Choi, Yoobin; Panda, Swati; Panigrahi, Basanta Kumar; Kim, Hoe Joon; Wistrand, Anna Finne Abstract: Human tactile acuity relies on the microstructured morphology of the fingertips, which enables sensitive detection of fine surface features during object manipulation. While triboelectric-based self-powered object recognition has gained much attention, conventional triboelectric materials are typically non-biodegradable, contributing to persistent electronic waste. This work focuses on fabricating biodegradable triboelectric interfaces for intelligent robotic texture perception and sustainable energy harvesting. Three biodegradable polymers, polylactide (PLA), poly(epsilon-caprolactone) (PCL), and poly(lactide-co-trimethylene carbonate) (PTMC), were evaluated as negative triboelectric layers against an aluminum electrode to form a single-electrode triboelectric nanogenerator (TENG). The PCL/Al TENG achieved a superior electrical output of 118 V and 772 nA, with a peak power of 24.5 & micro;W at 200 M Omega, primarily due to its higher surface roughness enhancing charge transfer. The powering of the low-power electronics and charging of the capacitors using the TENG was demonstrated. In addition, the platform was integrated into a robotic gripper for real-time texture recognition. Combined with a convolutional neural network (CNN), the system achieved 96.9% classification accuracy across eight distinct textures. This sustainable platform reduces environmental impact by using degradable materials while maintaining the mechanical robustness required for advanced robotic sensing. 2026-06-30T15:00:00Z https://scholar.dgist.ac.kr/handle/20.500.11750/60460 Title: EVA-SrBi2Nb2O9 composites for energy harvesting and AI-integrated finger strength monitoring Author(s): Mohanty, Raj; Kaja, Kushal Ruthvik; Hajra, Sugato; Behera, Swayam Aryam; Panigrahi, Basanta Kumar; Kim, Hoe Joon; Achary, P. Gang Raju Abstract: Triboelectric nanogenerators (TENG) offer an effective approach for converting ambient mechanical energy into electrical power. In this study, a TENG incorporating a composite film composed of Ethylene-vinyl acetate-SrBi2Nb2O9 (EVA-SBN) is designed and evaluated. The SBN material is synthesised via a solid-state method. When the EVA-SBN 5 wt% triboelectric layer is coupled with PDMS as the counter triboelectric material, the device delivers an output voltage of 154 V, a current of around 334 nA, and a maximum power of 102 mu W. Further, in this work, the demonstration of powering a calculator using TENG was performed. The response of finger impact upon the EVA-SBN/PDMS-based TENG was traced, and using artifical neural network (ANN) based prediction of individual finger strength enables accurate, real-time hand motion recognition for applications in smart rehabilitation, prosthetics, and human-machine interfaces. 2026-04-30T15:00:00Z https://scholar.dgist.ac.kr/handle/20.500.11750/60444 Title: 입자 측정장치 및 이의 제조방법 Author(s): 김회준; 장일류