Results 51 to 60 of about 661,032 (306)

Phase Change Material‐Driven Tunable Metasurface for Adaptive Terahertz Sensing and Communication in 6G Perceptive Networks

Advanced Functional Materials, EarlyView.
This study explores the benefits of metasurfaces made from functional materials, highlighting their ability to be adapted and improved for various high‐frequency applications, including communications and sensing. It first demonstrates the potential of these functional material‐based metasurfaces to advance the field of sub‐THz perceptive networks ...
Yat‐Sing To, Jiachen Du, Cyril Decroze, Laure Huitema, Aurelian Crunteanu, Hang Wong   +5 more
wiley   +1 more source

On Lightweight Privacy-Preserving Collaborative Learning for IoT Objects

, 2019
The Internet of Things (IoT) will be a main data generation infrastructure for achieving better system intelligence. This paper considers the design and implementation of a practical privacy-preserving collaborative learning scheme, in which a curious ...
Chabanne Hervé, Chaudhuri Kamalika, Gilad-Bachrach Ran, Goodfellow Ian J., Hamm J., McMahan H Brendan   +5 more
core   +1 more source

Near‐Sensor Analog Computing via Monolithic 3D Piezoelectric Sensor–FeFET for Tactile Sensing System

Advanced Functional Materials, EarlyView.
A monolithic 3D‐integrated tactile system combines a piezoelectric sensor and ferroelectric field‐effect transistor (FeFET) to process both static and dynamic pressure signals directly at the sensor node. The system enables in‐sensor analog noise filtering with multi‐level memory states, achieving high sensitivity and ultra‐low power operation (≈10 nW),
Woongjin Kim, Seungyeob Kim, Jinwook Ha, Taeseung Jung, Yunjeong Kim, Jinho Ahn, Sanghun Jeon   +6 more
wiley   +1 more source

A Smart Magnetically Actuated Flip‐Disc Programmable Metasurface with Ultralow Power Consumption for Real‐Time Channel Control

Advanced Functional Materials, EarlyView.
The study proposes a 1‐bit programmable metasurface based on flip‐disc display, named flip‐disc metasurface (FD‐MTS). This new design enables ultralow energy consumption while maintaining coding patterns. It also exhibits high scalability and multifunctional flexibility.
Jiang Han Bao, Che Liu, Jia Cheng Li, Zhen Hao Fu, Yi Su Huang, Si Qi Huang, Lei Zhang, Jian Wei You, Tie Jun Cui   +8 more
wiley   +1 more source

A MODWT-Based Algorithm for the Identification and Removal of Jumps/Short-Term Distortions in Displacement Measurements Used for Structural Health Monitoring

IoT, 2021
Researchers have made substantial efforts to improve the measurement of structural reciprocal motion using radars in the last years. However, the signal-to-noise ratio of the radar’s received signal still plays an important role for long-term monitoring ...
Davi V. Q. Rodrigues, Delong Zuo, Changzhi Li   +2 more
doaj   +1 more source

Universal Neuromorphic Element: NbOx Memristor with Co‐Existing Volatile, Non‐Volatile, and Threshold Switching

Advanced Functional Materials, EarlyView.
A W/NbOx/Pt memristor demonstrates the coexistence of volatile, non‐volatile, and threshold switching characteristics. Volatile switching serves as a reservoir computing layer, providing dynamic short‐term processing. Non‐volatile switching, stabilized through ISPVA, improves reliable long‐term readout. Threshold switching operates as a leaky integrate
Ungbin Byun, Hyesung Na, Sungjun Kim
wiley   +1 more source

Automatic Sorting System for Wood Diameter Grades

IEEE Access
Wood is one of the energy sources for sustainable development, which is closely related to our life. In the wood production process, it will be sorted according to different diameter grade is an essential link, at present the wood sorting work mainly ...
Jiaxin Liu, Linghua Kong, Jishi Zheng, Zhigang Ding, Li Feng, Yanlu Lv   +5 more
doaj   +1 more source

Assessing Feature Representations for Instance-Based Cross-Domain Anomaly Detection in Cloud Services Univariate Time Series Data

IoT, 2022
In this paper, we compare and assess the efficacy of a number of time-series instance feature representations for anomaly detection. To assess whether there are statistically significant differences between different feature representations for anomaly ...
Rahul Agrahari, Matthew Nicholson, Clare Conran, Haytham Assem, John D. Kelleher   +4 more
doaj   +1 more source

Smarter Sensors Through Machine Learning: Historical Insights and Emerging Trends across Sensor Technologies

Advanced Functional Materials, EarlyView.
This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee, Osman Gul, Yeongjae Kwon, Jaeseok Jeong, Seokjoo Cho, Jihyeon Ahn, Jehee Yu, Cheolmin Kim, Donho Lee, Hyeonseok Han, Byeongju Lee, Jungrak Choi, Ji‐Hwan Ha, Yongrok Jeong, Kyungnam Kang, Ali Javey, Junseong Ahn, Inkyu Park   +17 more
wiley   +1 more source

Reinforced Concrete‐Inspired Multiscale Hierarchical Metamaterial Composite for Synergistic Enhancement Across Thermal, Electromagnetic, and Mechanical Domains

Advanced Functional Materials, EarlyView.
A structurally integrated multiscale hierarchical metamaterial composite (MHMC), inspired by the synergistic architecture of reinforced concrete, achieves simultaneous enhancement of thermal, electromagnetic, and mechanical functionalities. By combining a carbon black‐based mechanical metamaterial with a porosity‐graded cellulose acetate aerogel, this ...
Jeongwoo Lee, Junyeol Choi, Junyong Seo, Jaemin Lee, Dowon Noh, Hoyoung Jang, Hwanju Lim, Jinwoo Park, Run Hu, Wonjoon Choi   +9 more
wiley   +1 more source