Results 71 to 80 of about 60,314 (279)

Harnessing Fungal Biowelding for Constructing Mycelium‐Engineered Materials

Advanced Engineering Materials, EarlyView.
Mycelium‐bound composites (MBCs) offer low‐carbon alternatives for construction, yet interfacial bonding remains a critical challenge. This review examines fungal biowelding as a biocompatible adhesive, elucidating mycelium‐mediated interfacial mechanisms and their role in material assembly. Strategies to optimize biowelding are discussed, highlighting
Xue Brenda Bai, Xinrui Sarah Niu, Zhao Qin   +2 more
wiley   +1 more source

Reconfigurable Intelligent Surfaces for Wireless Communications: Principles, Challenges, and Opportunities

, 2020
Recently there has been a flurry of research on the use of reconfigurable intelligent surfaces (RIS) in wireless networks to create smart radio environments.
ElMossallamy, Mohamed A., Han, Zhu, Li, Geoffrey Ye, Seddik, Karim G., Song, Lingyang, Zhang, Hongliang   +5 more
core  

NFDI MatWerk Ontology (MWO): A BFO‐Compliant Ontology for Research Data Management in Materials Science and Engineering

Advanced Engineering Materials, EarlyView.
This article presents the NFDI‐MatWerk Ontology (MWO), a Basic Formal Ontology‐based framework for interoperable research data management in materials science and engineering (MSE). Covering consortium structures, research data management resources, services, and instruments, MWO enables semantic integration, Findable, Accessible, Interoperable, and ...
Hossein Beygi Nasrabadi, Ebrahim Norouzi, Kostiantyn Hubaiev, Jörg Waitelonis, Harald Sack   +4 more
wiley   +1 more source

Reinforcement Learning for Resilient Aerial-IRS Assisted Wireless Communications Networks in the Presence of Multiple Jammers

IEEE Open Journal of the Communications Society
The evolving landscape of beyond 5G and 6G wireless communication systems in smart urban environments faces numerous interference-related challenges posed by legitimate and illicit devices.
Zain Ul Abideen Tariq, Emna Baccour, Aiman Erbad, Mounir Hamdi   +3 more
doaj   +1 more source

Rate analysis of device-to-device communication system based on reflecting intelligent surface

上海师范大学学报. 自然科学版, 2021
In this paper, firstly the device-to-device(D2D)communication system model based on the reflective intelligent surface(RIS)was established in a general form, from which the user's achievable rate was derived and the total rate of the system was obtained.
FU Fengting, LI Li
doaj   +1 more source

Metamaterial window glass for adaptable energy efficiency [PDF]

, 2014
textA computational analysis of a metamaterial window design is presented for the purpose of increasing the energy efficiency of buildings in seasonal or cold climates.
Mann, Tyler Pearce
core  

Packaging of Macroscopic Material Payloads: Needs, Challenges, Concepts, and Future Directions

Advanced Engineering Materials, EarlyView.
This review introduces a unified framework that decomposes any macroscopic packaging system into the payload, packaging material, and packaging strategy and combines them into a conceptual packaging equation: packaging strategy = payload + packaging material.
Venkata S. R. Jampani, Manos Anyfantakis
wiley   +1 more source

Double-Faced Active Intelligent Reflecting Surfaces-Assisted Symbiotic Radio Communications

IEEE Open Journal of Vehicular Technology
With the extensive deployment of Internet-of-Things (IoT) in next generation wireless systems, the problems of energy efficiency and battery life become exacerbated, highlighting the pressing need for innovative solutions.
Ahmed M. Benaya, Mohamed S. Hassan, Mahmoud H. Ismail, Taha Landolsi   +3 more
doaj   +1 more source

Tracking a table tennis ball for umpiring purposes using a multi-agent system [PDF]

, 2016
Tracking a table tennis ball for umpiring purposes is a challenging task as, in real-match scenarios, the ball travels fast and can become occluded or merged with other background objects.
Dooley, Laurence, Hopgood, Adrian, Myint, Hnin, Wong, Patrick   +3 more
core  

Prediction of Surface Topography Parameters in Direct Laser Interference Patterning of Stainless Steel Using Infrared Monitoring and Convolutional Neural Networks

Advanced Engineering Materials, EarlyView.
This study presents an infrared monitoring approach for direct laser interference patterning (DLIP) combined with a convolutional neural network (CNN). Thermal emission data captured during structuring are used to predict surface topography parameters.
Lukas Olawsky, Marcelo Sallese, Leander Kläber, Clemens Kuhn, Keming Du, Andrés Fabián Lasagni   +5 more
wiley   +1 more source