Results 101 to 110 of about 3,719,507 (369)

Passive bandwidth estimation for fog computing

open access: yesNorsk IKT-konferanse for forskning og utdanning
This paper investigates passive bandwidth estimation as ameans to improve scheduling in Kubernetes-based fog computing environments.In contrast to active probing techniques, passive methodsrely on observing existing traffic patterns to infer available bandwidth(ABW), offering a non-intrusive alternative suitable for dynamicand distributed systems.
Kjeti Omang   +2 more
openaire   +1 more source

Zwitterionic Self‐Assembled Monolayer for Simultaneous Noise Suppression and Hole Extraction in High‐Performance Near‐Infrared Organic Photodetectors

open access: yesAdvanced Functional Materials, EarlyView.
This study presents a new hole transporting material (HTM) mechanism for self‐assembled monolayers in near‐infrared organic photodetectors. The formation of zwitterions induces a strong electric field that significantly increases the work function of HTM‐coated indium tin oxide substrates. The devices exhibit low dark current and noise, along with high
Jiyoung Shin   +9 more
wiley   +1 more source

Enhancing Synaptic Plasticity and Multistate Retention of Organic Neuromorphic Devices Using Anion‐Excessive Gel Electrolyte

open access: yesAdvanced Functional Materials, EarlyView.
Anion‐excessive gel‐based organic synaptic transistors (AEG‐OSTs) that can maintain electrical neutrality are developed to enhance synaptic plasticity and multistate retention. Key improvement is attributed to the maintenance of electrical neutrality in the electrolyte even after electrochemical doping, which reduces the Coulombic force acting on ...
Yousang Won   +3 more
wiley   +1 more source

Suppression of Photo‐Mediated Traps in Integrated Organic Photovoltaic–Photodetector Devices via N‐Type Self‐Assembly‐Driven Interfacial Engineering

open access: yesAdvanced Functional Materials, EarlyView.
Conventional unstable electron transport layers (ETLs) limit self‐powered organic sensors. This work resolves this by developing a n‐type self‐assembled monolayer (SAM), “3‐PAPh”. This SAM forms a chemically stable and structurally ordered interface that fundamentally suppresses defect formation.
Ohhyun Kwon   +11 more
wiley   +1 more source

Optoelectronic Devices for In‐Sensor Computing

open access: yesAdvances in Materials
The demand for accurate perception of the physical world leads to a dramatic increase in sensory nodes. However, the transmission of massive and unstructured sensory data from sensors to computing units poses great challenges in terms of power‐efficiency,
Qinqi Ren   +7 more
semanticscholar   +1 more source

Universal Electronic‐Structure Relationship Governing Intrinsic Magnetic Properties in Permanent Magnets

open access: yesAdvanced Functional Materials, EarlyView.
Permanent magnets derive their extraordinary strength from deep, universal electronic‐structure principles that control magnetization, anisotropy, and intrinsic performance. This work uncovers those governing rules, examines modern modeling and AI‐driven discovery methods, identifies critical bottlenecks, and reveals electronic fingerprints shared ...
Prashant Singh
wiley   +1 more source

Joint Computing Resource and Bandwidth Allocation for Semantic Communication Networks

open access: green, 2023
Fangzhou Zhao   +5 more
openalex   +2 more sources

High Entropy Wide‐Bandgap Borates with Broadband Luminescence and Large Nonlinear Optical properties

open access: yesAdvanced Functional Materials, EarlyView.
High‐entropy rare‐earth borates exhibit excellent nonlinear optical and broadband luminescence properties arising from multi‐component doping, chemical disorder, increased configurational entropy, and increased lattice and electronic anharmonicity. This formulation enabled us to obtain a large, environmentally stable single crystal with 3X higher laser‐
Saugata Sarker   +14 more
wiley   +1 more source

A Parallel Compression Pipeline for Improving GPU Virtualization Data Transfers

open access: yesSensors
GPUs are commonly used to accelerate the execution of applications in domains such as deep learning. Deep learning applications are applied to an increasing variety of scenarios, with edge computing being one of them. However, edge devices present severe
Cristian Peñaranda   +2 more
doaj   +1 more source

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