Results 71 to 80 of about 36,981 (303)

Resource allocation model for grid computing environment

IJAIN (International Journal of Advances in Intelligent Informatics), 2020
Grid computing is a collection of heterogeneous resources that is highly dynamic and unpredictable. It is typically used for solving scientific or technical problems that require a large number of computer processing cycles or access to substantial ...
Ardi Pujiyanta, Lukito Edi Nugroho, Widyawan Widyawan   +2 more
doaj   +1 more source

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

Energy-efficient resource allocation method in mobile edge network based on double deep Q-learning

Tongxin xuebao, 2020
To improve the system energy efficiency in mobile edge networks, a resource allocation method based on double deep Q-learning(DDQL) for integration of communication, computing, storage resources was proposed for the downlink communication process under ...
Peng YU, Junye ZHANG, Wenjing LI, Fanqin ZHOU, Lei FENG, Shu FU, Xuesong QIU   +6 more
doaj   +2 more sources

Risk assessment models for resource failure in grid computing [PDF]

, 2011
Service Level Agreements (SLAs) are introduced in order to overcome the limitations associated with the best-effort approach in Grid computing, and to accordingly make Grid computing more attractive for commercial uses. However, commercial Grid providers
Alsoghayer, Raid Abdullah
core  

Additive Manufacturing of Continuous Fibre Reinforced Composites: Process, Characterisation, Modelling, and Sustainability

Advanced Engineering Materials, EarlyView.
Additive manufacturing provides precise control over the placement of continuous fibres within polymer matrices, enabling customised mechanical performance in composite components. This article explores processing strategies, mechanical testing, and modelling approaches for additive manufactured continuous fibre‐reinforced composites.
Cherian Thomas, Amir Hosein Sakhaei
wiley   +1 more source

Adaptable Covalent Organic Framework‐Hydrogel Microneedles for Glucose‐Responsive Isoliquiritigenin Delivery in Diabetic Wound Therapy

Advanced Healthcare Materials, EarlyView.
We develop a covalent organic framework‐loaded Traditional Chinese Medicine monomer nanodrug delivery system (ISL@bCOF) via boron‐oxygen bonds, a smart response to glucose for delivering AI‐driven isoliquiritigenin (ISL) targeting ZBP1. This dynamic release mechanism, combined with transdermal delivery technology via potent microneedles, can modulate ...
Menghan Zhou, Zongjie Hu, Xiuwen Li, Huaman Geng, Yang Liu, Yajie Wang, Yunshu Yang, Guangdong Zhou, Yujie Hua, Di Wang   +9 more
wiley   +1 more source

Deep Reinforcement Learning for Performance-Aware Adaptive Resource Allocation in Mobile Edge Computing [PDF]

, 2020
Mobile edge computing (MEC) enables to provide relatively rich computing resources in close proximity to mobile users, which enables resource-limited mobile devices to offload workloads to nearby edge servers, and thereby greatly reducing the processing ...
Hu, Haiyang, Wang, Shangguang, Pan, Linxuan, Xu, Y, Hu, H, Huang, B, Li, Zhongjin, Li, Z, Pan, L, Chang, Victor, Chang, V, Xu, Yunqiu, Wang, S, Huang, Binbin   +13 more
core   +1 more source

Artificial Intelligence‐Assisted Workflow for Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling

Advanced Materials, EarlyView.
AI‐Assisted Workflow for (Scanning) Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling. Abstract (Scanning) transmission electron microscopy ((S)TEM) has significantly advanced materials science but faces challenges in correlating precise atomic structure information with the functional properties of ...
Marc Botifoll, Ivan Pinto‐Huguet, Enzo Rotunno, Thomas Galvani, Catalina Coll, Payam Habibzadeh Kavkani, Maria Chiara Spadaro, Yann‐Michel Niquet, Martin Børstad Eriksen, Sara Martí‐Sánchez, Georgios Katsaros, Giordano Scappucci, Peter Krogstrup, Giovanni Isella, Andreu Cabot, Gonzalo Merino, Pablo Ordejón, Stephan Roche, Vincenzo Grillo, Jordi Arbiol   +19 more
wiley   +1 more source

Dynamic resource allocation in hybrid mobile cloud computing for data-intensive applications

, 2019
Mobile cloud computing is a platform that has been used to overcome the challenges of mobile computing. However, emerging data-intensive applications, such as face recognition and natural language processing, imposes more challenges on mobile cloud ...
Alkhalaileh, Mohammad (S32735), Quang Vinh Nguyen, Javadi, Bahman (R17034), Nguyen, Quang Vinh (R12391), Bahman Javadi, Mohammad Alkhalaileh, Rodrigo N. Calheiros, Neves Calheiros, Rodrigo (R18788)   +7 more
core   +1 more source

Resonant Domain Wall Dynamics in a Three‐Dimensional Magnetic Nano Double Helix

Advanced Materials, EarlyView.
3D magnetic nanostructures promise exciting possibilities for magnetization dynamics. However, experimental realizations remain scarce. In nanoprinted cobalt double helices, time‐resolved X‐ray microscopy reveals harmonic domain wall dynamics. Simulations identify the mode and additional higher‐frequency resonances, revealing a rich dynamic landscape ...
Pamela Morales‐Fernández, Iason Konstantinos‐Douveas, Claas Abert, Elina Zhakina, Sandra Ruiz‐Gómez, Claudia Fernández‐González, Luke Alexander Turnbull, Sebastian Wintz, Markus König, Simone Finizio, Markus Weigand, Naëmi Leo, Dieter Suess, Aurelio Hierro‐Rodríguez, Amalio Fernández‐Pacheco, Claire Donnelly   +15 more
wiley   +1 more source