https://scholar.dgist.ac.kr/handle/20.500.11750/58365 2026-11-15T15:48:17Z https://scholar.dgist.ac.kr/handle/20.500.11750/61133 Title: Probabilistic T-spherical hesitant fuzzy decision support for selecting advanced tertiary wastewater treatment technologies using comprehensive distance based ranking method Author(s): Suvitha, Krishnan; Aarthi, Kannusamy; Narayanamoorthy, Samayan; Almakayeel, Naif; Kang, Daekook Abstract: Pharmaceuticals, microplastics, per-and polyfluoroalkyl substances (PFAS) and endocrine-disrupting compounds are increasingly discharged in treated wastewater, are not effectively removed by conventional secondary treatment, and have important implications for the environment and human health. Advanced tertiary treatment is needed for safe reuse of urban non-potable water, but the choice among competing technologies is a complex decision involving technical, economic, environmental and regulatory considerations, as well as uncertainty and reluctance in expert evaluations. To address this issue, this research uses a decision support system based on Probabilistic T-Spherical Hesitant Fuzzy Numbers (Pt-SHFNs) that represents probabilistic uncertainty, ambiguity and expert hesitance consistently. A hybrid method is used to find criteria weights. The hybrid method combines the Level-Based Weight Assessment (LBWA) technique and changes of empirical data. This allows the subjective preferences of experts and objective evidence to be simultaneously considered. Then the alternatives are ranked using Comprehensive Distance Based Ranking (COBRA) technique. The results show that in the practical case of seven tertiary treatment systems, the effectiveness of removal of emerging pollutants (0.2319) and capital expenditures (0.1713) are the most influential factors. The most efficient systems are hybrid membrane-advanced oxidation process systems (0.0338) followed by ozonation-biofiltration (0.0203) and nanofiltration membranes (-0.0022). The stability analysis and comparison studies with other MCDM techniques increase the dependability and consistency of the obtained rankings. The proposed technique provides an explicit and uncertainty-aware basis for ranking tertiary alternatives to treatment and could assist wastewater utilities and regulators in integrating technical decisions with sustainability and water reuse objectives. 2026-09-30T15:00:00Z https://scholar.dgist.ac.kr/handle/20.500.11750/61005 Title: Motion-Driven Self-Visualizing Soft Robots Enabled by Mechanoluminescent Tubular Fibers Author(s): 이민석; Song, Seongkyu; Jeong, Soon Moon Abstract: Motion-responsive optical sensing that directly visualizes deformation without external electronics is highly desirable yet remains difficult to implement in pneumatic soft robotic systems. In particular, integrating wired or battery-powered sensors into soft robots composed of low-modulus elastomers is challenging due to the mechanical mismatch between conventional sensors and highly compliant actuators. Here, we present a compliance-matched tubular mechanoluminescent (ML) fiber that enables battery-free visualization of pneumatic soft robot motion through deformation-induced light emission. The ML fiber is fabricated by encapsulating a self-recoverable ZnS:Cu-PDMS composite within an elastic silicone tube, forming a mechanically adaptive architecture that preserves large stretchability while maintaining stable ML responses under repeated deformation. Owing to the intrinsic compliance of the tubular structure, the fiber sustains tensile strains exceeding 200%. When integrated into a pneumatically driven soft robot in a woven network architecture, the ML fibers generate deformation-associated light emission from regions undergoing actuation, enabling qualitative visual monitoring of robotic motion without wiring, signal-processing circuits, or external power sources for sensing. This compliance-engineered ML fiber architecture provides a scalable strategy for embedding self-powered optical sensing into highly deformable soft systems and offers a versatile platform for self-visualizing soft robotics, wearable motion monitoring, and artificial skin interfaces. 2026-08-31T15:00:00Z 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