Results 211 to 220 of about 20,039 (254)

MAGTWIST: A Magnetically‐Driven Rotary Actuator Using a Traveling‐Wave With Integrated Stiffness Tunability

Advanced Functional Materials, EarlyView.
MAGTWIST: A compact magnetic rotary actuator, enabling smooth, stepless rotation, and on‐demand locking. Inspired by peristalsis, a soft polymer belt generates a traveling‐wave, enabling 270° rotation when heated. Cooling stiffens the belt, locking it in position and enabling it to withstand high loads.
Simon Frieler, Jean‐Paul P.M. de Vries, Sarthak Misra, Venkatasubramanian Kalpathy Venkiteswaran   +3 more
wiley   +1 more source

Pixelation‐Free, Monolithic Iontronic Pressure Sensors Enabling Large‐Area Simultaneous Pressure and Position Recognition via Machine Learning

Advanced Functional Materials, EarlyView.
A pixelation‐free, monolithic iontronic pressure sensor enables simultaneous pressure and position sensing over large areas. AC‐driven ion release generates spatially varying impedance pathways depending on the pressure. Machine learning algorithms effectively decouple overlapping pressure–position signals from the multichannel outputs, achieving high ...
Juhui Kim, Junseo Lee, Kwang‐Hun Choi, Seongil Im, Jae Hong Kim, Changsoon Choi, Junghwan Byun, Changhwan Shin, Ho Won Jang, Hyunsu Ju, Jung Ah Lim   +10 more
wiley   +1 more source

Indirect Band Edge and Chain‐Locked Linear Dichroism in the Quasi‐1D Van der Waals Antiferromagnet AgCrP2S6

Advanced Functional Materials, EarlyView.
AgCrP2S6 reveals a momentum‐indirect band edge (≈1.35 eV) and chain‐locked linear dichroism: the first direct transitions emerge at 1.6–1.8 eV for E||a. Resonant Raman and photoemission corroborate this assignment. In ACPS/graphene heterostructures, photocurrent turns on above ≈1.5 eV and follows the same polarization selection rules (anisotropy ≈0.53),
Oleksandr Volochanskyi, Sabrina Juergensen, Václav Valeš, Kumari Surbhi, Martin Mergl, Kseniia Mosina, Zdeněk Sofer, Jan Honolka, Patryk Kusch, Martin Kalbáč   +9 more
wiley   +1 more source

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Mobile Edge Computing

2017
Paradigms of ubiquitous IoT coupled with strong context-aware data access controls are a must for the success of Health 4.0. These together with the inherent requirement of adhering to strict QoS guarantees in the health domain create a technologically challenging environment which can be effectively addressed through novel platforms.
Swaroop Nunna, Karthikeyan Ganesan
openaire   +2 more sources

QoE‐aware mobile computation offloading in mobile edge computing

Concurrency and Computation: Practice and Experience, 2022
AbstractDue to the rapid development of smart phone utilization, the use of fast response with delay sensitive applications leads to high traffic demands. These issues are not yet fulfill by current researchers. When there is a massive crowd of users gathering in hotspot areas such as, railway stations, corporate centers, and malls requires service ...
Dharmalingam Adhimuga Sivasakthi, Raja Gunasekaran   +1 more
openaire   +1 more source

Enhancing Mobile Edge Computing Architecture with Human-Driven Edge Computing Model

2018 14th International Conference on Intelligent Environments (IE), 2018
In an increasingly interconnected world, mobile and wearable devices, through short range communication interfaces and sensors, become needful tools for collecting and disseminating information in high population density environments. In this context Mobile Crowdsensing (MCS), leveraging people's roaming and their devices' resources, raised the citizen
Belli D, Chessa S, Foschini L, Girolami M   +3 more
openaire   +3 more sources

Towards Flying Mobile Edge Computing

2020 International Conference on Information Networking (ICOIN), 2020
With the development of mobile edge computing (MEC), many approaches are proposed to improve the computation performances, such as network congestion, transmission latency, and quality of Internet of Things (IoTs) services. Although ground MEC system architectures are developed, there are still unsolved problems, such as depending on the ground ...
VanDung Nguyen, Tran Trong Khanh, Pham Van Nam, Ngo Thien Thu, Choong Seon Hong, Eui-Nam Huh   +5 more
openaire   +1 more source

Edge server placement in mobile edge computing

Journal of Parallel and Distributed Computing, 2019
Abstract With the rapid increase in the development of the Internet of Things and 5G networks in the smart city context, a large amount of data (i.e., big data) is expected to be generated, resulting in increased latency for the traditional cloud computing paradigm.
Shangguang Wang, Yali Zhao, Jinlinag Xu, Jie Yuan, Ching-Hsien Hsu   +4 more
openaire   +1 more source

Energy-Efficient Mobile Edge Hosts for Mobile Edge Computing System

2018 IEEE International Conference on Information and Automation for Sustainability (ICIAfS), 2018
Mobile edge computing is emerging as the new solution for next generation mobile applications, which require very low latency and high computing resources. By offloading the computation intensive tasks to mobile edge (ME) hosts located in the radio access network, users could gain energy saving benefits at the user equipment.
Shanmuganathan Thananjeyan, Chien Aun Chan, Elaine Wong, Ampalavanapillai Nirmalathas   +3 more
openaire   +1 more source

SBA-Based Mobile Edge Computing

2019 IEEE Globecom Workshops (GC Wkshps), 2019
5G is becoming open, service-oriented, and software- oriented by introducing Service Based Architecture (SBA) into its core network. In consequence, we propose SBA-based mobile edge computing (MEC) in this paper. Firstly, we present a service-based MEC platform architecture, composed of network functions (NFs) and service based interface.
Ting Li, Liqiang Zhao, Ran Duan, Hongxin Tian   +3 more
openaire   +1 more source