Results 91 to 100 of about 24,516 (300)

Flow of the network reconfiguration.

open access: yes, 2016
Flow of the network reconfiguration.
Lin Jiang (217766)   +2 more
core   +1 more source

Deep Learning Inverse Design of Phase‐Change Reconfigurable Terahertz Metadevices for Multidimensional Secure Communication

open access: yesAdvanced Materials, EarlyView.
A deep learning inverse‐design framework is established to create versatile reconfigurable terahertz metadevices. By synergizing deep learning with phase‐change materials, this approach enables on‐demand customization of multidimensional electromagnetic responses.
Yisheng Dong   +11 more
wiley   +1 more source

Coherence and Feasibility of Real-Time Software Tasks in Networked Adaptive Systems

open access: yesIEEE Access, 2018
This paper deals with the dynamic reconfiguration of networked devices linked by a controller area network (CAN). Each device runs dependent periodic and aperiodic software tasks and can be adapted to any evolution in its environment.
Imen Khemaissia   +4 more
doaj   +1 more source

Surface‐Functionalized LLZO‐Incorporated Multilayer Composite Solid Electrolytes for Dendrite Suppression and Efficient Ionic Conduction in Lithium–Metal Batteries

open access: yesAdvanced Materials, EarlyView.
A soft–hard tri‐layer composite electrolyte that couples fast Li+ transport with reinforced interfacial stability to enable high‐conductivity, mechanically robust, dendrite‐free lithium‐metal batteries. ABSTRACT The development of solid polymer electrolytes is central to safe, high‐energy lithium‐metal batteries (LMBs); however, persistent challenges ...
Fazal Ur Rehman   +9 more
wiley   +1 more source

A graph based approach to supporting software reconfiguration in distributed sensor network applications

open access: yes, 2010
Considerable research has been performed in applying run-time reconfigurable component models to wireless sensor networks. The capability to dynamically deploy or update software components allows the changing requirements of sensor network applications ...
Horré, W   +11 more
core  

Dynamic Reconfiguration of Real-Time Network Interfaces

open access: yes, 2004
Vonnahme E, Griese G, Porrmann M, Rückert U. Dynamic Reconfiguration of Real-Time Network Interfaces. In: IEEE Computer Society. Technical Committee on Parallel Processing, Technische Universität Dresden.
Technische Universität Dresden. Technical Committee on Parallel Processing   +5 more
core   +1 more source

Interface‐Engineered Binary Framework Composites: Advancing Porous Materials for Precision Medicine

open access: yesAdvanced Materials Interfaces, EarlyView.
Binary framework composites integrate two complementary porous architectures into a unified platform, enabling multifunctional design, enhanced structural tunability, and improved physicochemical performance. By combining high surface area, ordered porosity, interfacial synergy, and versatile functionalization, these hybrid materials offer new ...
Navid Rabiee   +3 more
wiley   +1 more source

ATopology-awarenessVirtualNetworkReconfigurationAlgorithm

open access: yes工程科学与技术, 2015
:Aiming at load imbalance problem in the substrate network,the substrate nodes and links with resource utilization exceed the predefined threshold value were selected for reconfiguration based on the load state of the substrate nodes and links.By using ...
彭利民
doaj  

Transducers Across Scales and Frequencies: A System‐Level Framework for Multiphysics Integration and Co‐Design

open access: yesAdvanced Materials Technologies, EarlyView.
Transducers convert physical signals into electrical and optical representations, yet each mechanism is bounded by intrinsic trade‐offs across bandwidth, sensitivity, speed, and energy. This review maps transduction mechanisms across physical scale and frequency, showing how heterogeneous integration and multiphysics co‐design transform isolated ...
Aolei Xu   +8 more
wiley   +1 more source

Morphology‐Driven Electromechanical Performance of Graphene‐Based Electrofluids for Emerging Soft Electronic Systems

open access: yesAdvanced Materials Technologies, EarlyView.
Here, two types of electronic components are presented: a strain sensor and a stable resistor. Electrofluids properties are tuned to match these behaviors by selecting the type of filler. We show that the morphology of the filler together with its oxygen content are the key parameters to create electrical and mechanical networks with distinct responses.
Dominik S. Schmidt   +4 more
wiley   +1 more source

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