Results 51 to 60 of about 87,576,204 (331)

Inverse‐Designed Superchiral Hot Spot in Dielectric Meta‐Cavity Toward Ultra‐Compact Enantioselective Detection

open access: yesAdvanced Optical Materials, EarlyView.
Linearly polarized incident light with normal incidence creates enhanced optical chirality hotspots on the metasurface. Several orders of magnitude optical chirality enhancement offers a promising route toward highly sensitive, compact chiral spectroscopy.
Anastasia Romashkina   +10 more
wiley   +1 more source

Non-Orthogonal Random Access and Data Transmission Scheme for Machine-to-Machine Communications in Cellular Networks

open access: yesIEEE Access, 2020
In order to address the signalling overhead and resource allocation problems of Machine-to-Machine (M2M) communications with non-orthogonal multiple access (NOMA), we propose a hybrid non-orthogonal random access and data transmission (NORA-DT) scheme. A
Yali Wu, Ningbo Zhang, Kaixuan Rong
doaj   +1 more source

Visible‐Blind Near‐Infrared Organic Vision Sensors for Imaging in Adverse Environmental Conditions

open access: yesAdvanced Optical Materials, EarlyView.
This work presents high‐performance visible‐blind NIR OPDs enabled by a multilayer optical modulation layer. The devices achieve strong visible‐light suppression and enhanced NIR sensitivity, enabling robust imaging in foggy or low‐light environments.
Baozhong Deng   +9 more
wiley   +1 more source

Investigation of Uncoordinated Coexisting IEEE 802.15.4 Networks with Sleep Mode for Machine-to-Machine Communications

open access: yesInternational Journal of Distributed Sensor Networks, 2012
The low-energy consumption of IEEE 802.15.4 networks makes it a strong candidate for machine-to-machine (M2M) communications. As multiple M2M applications with 802.15.4 networks may be deployed closely and independently in residential or enterprise areas,
Chao Ma   +4 more
doaj   +1 more source

Interoperability in IoT Through the Semantic Profiling of Objects

open access: yesIEEE Access, 2018
The emergence of smarter and broader people-oriented IoT applications and services requires interoperability at both data and knowledge levels.
Andriy Mazayev   +2 more
doaj   +1 more source

Energy Efficiency in 5G Communications – Conventional to Machine Learning Approaches

open access: yesJournal of Telecommunications and Information Technology, 2020
Demand for wireless and mobile data is increasing along with development of virtual reality (VR), augmented reality (AR), mixed reality (MR), and extended reality (ER) applications.
Muhammad Khalil Shahid   +4 more
doaj   +1 more source

Edible Pouch Motors

open access: yesAdvanced Robotics Research, EarlyView.
Edible robotics is an emerging field that leverages edible materials to construct robotic systems. This study presents a method to create thin, lightweight, yet powerful edible soft actuators, namely edible pouch motors. The successful operation of these edible actuators and grippers renders their potential to advance future developments in edible ...
Keigo Takahashi   +3 more
wiley   +1 more source

An Overview of Reinforcement Learning Algorithms for Handover Management in 5G Ultra-Dense Small Cell Networks

open access: yesApplied Sciences, 2022
The fifth generation (5G) wireless technology emerged with marvelous effort to state, design, deployment and standardize the upcoming wireless network generation.
Jawad Tanveer   +3 more
doaj   +1 more source

Security Issues on Machine to Machine Communications

open access: yesKSII Transactions on Internet and Information Systems, 2012
Machine to machine (M2M) communications is the hottest issue in the standardization and industry area, it is also defined as machine-type communication (MTC) in release 10 of the 3rd Generation Partnership Project (3GPP). Recently, most research have focused on congestion control, sensing, computing, and controlling technologies and resource management
Chengzhe Lai   +3 more
openaire   +1 more source

Photonic‐Enabled Energy‐Efficient Transparent Neuromorphic Computing Devices: A Review

open access: yesAdvanced Science, EarlyView.
Transparent photonic neuromorphic computing devices merge optics and brain‐inspired computing to overcome von Neumann bottlenecks with ultrafast, low‐energy processing. By exploiting transparent oxides, 2D materials, phase‐change materials, and hybrid heterostructures, these platforms enable photonic synapses, memory, and logic for see‐through edge ...
Shuvaraj Ghosh   +8 more
wiley   +1 more source

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