https://scholar.dgist.ac.kr/handle/20.500.11750/58365 2026-05-14T05:30:50Z https://scholar.dgist.ac.kr/handle/20.500.11750/60325 Title: 이온젤 전극을 이용하는 전계발광소자 및 제조방법 Author(s): 정순문; 송성규 Abstract: 이온젤 전극을 이용하여 외부 환경 영향에 강한 고휘도/고신축성/고내구성을 갖는 전계발광소자 및 제조방법에 관한 것으로서, 보다 상세하게는 열가소성 폴리우레탄(thermoplastic polyurethane, TPU)과 이온액체(1-ethyl-3-methylimidazolium bis(trifluoromethylsulfonyl)imide, [EMIM]+[TFSI]-)를 혼합시킨 이온젤 전극을 제작하고, 이를 황화아연 발광재료(zinc sulfides)와 투명 실리콘 고무 (Ecoflex 00-30) 혼합 필름 내부에 면내 방향(in-plane) 으로 삽입시켜 고휘도/고신축성/고내구성 특성을 보여주는 전계발광소자에 관한 것이다. https://scholar.dgist.ac.kr/handle/20.500.11750/60098 Title: MelumiTac: Vision-based Tactile Sensor Using Mechanoluminescence for Dynamic Tactile and Nociceptive Perception Author(s): Bae, Sunggyu; Song, Seongkyu; Jeong, Soon Moon; Park, Kyungseo Abstract: This paper presents MelumiTac, a vision-based tactile (ViTAC) sensor enhanced with mechanoluminescent (ML) materials that emit green light under dynamic tactile stimuli. The integration of an ML elastomer generates self-illumination in response to dynamic tactile stimuli, enabling direct visualization of both dynamic tactile events and nociceptive responses while simultaneously tracking deformation in real-time. Experimental evaluations involving cyclic loading, in-plane motion, and piercing reveal a strong correlation between ML emission, stress rate, and localized deformation, thereby validating its multi-modal tactile sensing capabilities. Additionally, frame-by-frame analysis offers rich insights into the contact dynamics during physical interactions. These improvements, implemented within a small form factor of conventional ViTac sensor, render the approach highly accessible. Thus, we expect that the proposed solution will offer practical and unique advantages to engineers developing and applying vision-based multi-modal tactile sensors. 2025-10-21T15:00:00Z https://scholar.dgist.ac.kr/handle/20.500.11750/59931 Title: Evaluation of disposal techniques for electronic circuit board waste based on fuzzy multi-criteria decision analysis Author(s): Ijaz, Babu; Narayanamoorthy, Samayan; Sandra, Michael; Almakayeel, Naif; Dincer, Hasan; Yuksel, Serhat; Kang, Daekook Abstract: The rapid increase in electronic waste demands sustainable disposal solutions for non-recyclable circuit boards. This study introduces a novel fuzzy Multi-Criteria Decision Making (MCDM) framework that integrates Stepwise Weight Assessment Ratio Analysis (SWARA) for criteria weighting and the Ranking Alternatives by Perimeter Similarity (RAPS) method for evaluating disposal options under complex Pythagorean fuzzy environment. The proposed hybrid fuzzy model uniquely addresses linguistic ambiguity, expert hesitation, and conflicting criteria common in e-waste decision environments. Key criteria such as technological feasibility, environmental impact, cost, scalability, and energy use are assessed to identify the most suitable disposal strategy. Findings highlight environmental and technological factors as the most influential, with the top-ranked disposal method demonstrating strong suitability for end-of-life circuit boards. Sensitivity and comparative analyses validate the stability and reliability of the model. Overall, the study offers a practical and methodologically original decision-support tool for advancing sustainable electronic waste management. 2025-11-30T15:00:00Z https://scholar.dgist.ac.kr/handle/20.500.11750/59924 Title: An augmented fuzzy decision-making framework for evaluating renewable energy sources for hydrogen production: A case application to India Author(s): Brainy, Joseph Raj Vikilal Joice; Narayanamoorthy, Samayan; Sandra, Michael; Pamucar, Dragan; Nguyen, Phi-Hung; Pragathi, Subramaniam; Kang, Daekook Abstract: Hydrogen is the cleanest fuel, and its production from renewable sources is crucial for addressing energy and climate challenges. India’s renewable energy capacity presents an opportunity to produce environmentally friendly hydrogen for the international market. However, large-scale hydrogen production requires a thorough assessment of renewable energy sources under multiple constraints. This study introduces a fuzzy logic-based multistage assessment model to evaluate the feasibility of renewable energy-based hydrogen generation in India. A novel approach using bipolar complex linear diophantine fuzzy sets (BCLDFS) is proposed to account for both positive and negative perspectives in human judgment. The integration of bipolarity into the complex-valued structure of linear diophantine fuzzy sets enhances the precision of decision-making. Additionally, a modified BCLDF-level based weight assessment (LBWA)- multi-normalization multi-distance assessment (TRUST) method is developed as a multi-attribute decision-making (MADM) tool. This approach ranks renewable energy alternatives based on technical, economic, social, political, and environmental factors, along with 14 sub-criteria. This approach ranks renewable energy alternatives based on technical, economic, social, political, and environmental factors, along with 14 sub-criteria. In the case study focused on India, the proposed model identified solar energy as the most suitable renewable energy source for hydrogen production, followed by wind and hydro power. These results align with India’s green hydrogen priorities. A comparative and sensitivity analysis further validates the robustness of the proposed methodology, ensuring its reliability in strategic decision-making for sustainable hydrogen generation. 2025-12-31T15:00:00Z