Results 31 to 40 of about 3,326 (260)

Nitride MXenes Beyond Carbides: Bridging the Gap Between Computational Prediction and Experimental Realization

Advanced Functional Materials, EarlyView.
Nitride MXenes remain constrained by a persistent gap between computational prediction and experimental realization. This Review identifies the thermodynamic, kinetic, and chemical barriers limiting their synthesis, critically evaluates emerging fabrication routes, and proposes a multidimensional computational‐experimental framework to accelerate the ...
Naresh Varnakavi, Masoud Soroush
wiley   +1 more source

Joint Digital Self-interference Cancellation in Full-duplex Radios under IQ Imbalance and Transmitter Non-linearity

ITM Web of Conferences, 2018
RF imperfections can significantly degrade the performance of full-duplex wireless communication system by introducing non-idealities and random effects, which make it difficult to cancel the self-interference completely.
Zhou Meijing, Chen Nan, Zhu Changhua, Yi Yunhui   +3 more
doaj   +1 more source

Inductively Expandable Supraparticles as Microscopic Force Generators for Remote Mechanical Actuation

Advanced Materials, EarlyView.
This study demonstrates the combination of magnetic nanoparticles and functional blowing agents into supraparticles. Upon induction heating, they actuate via rapid gas generation or extensive volume expansion. These supraparticles lift up to 25 000 times their own mass and rapidly open cured epoxy resins, providing a versatile strategy for fast micron ...
Leoni Luthardt, Stephan Müssig, Robert Luxenhofer, Karl Mandel   +3 more
wiley   +1 more source

Transmit Power Allocation for Physical Layer Security in Cooperative Multi-Hop Full-Duplex Relay Networks

Sensors, 2016
In this paper, we consider a transmit power allocation problem for secure transmission in multi-hop decode-and-forward (DF) full-duplex relay (FDR) networks, where multiple FDRs are located at each hop and perform cooperative beamforming to null out the ...
Jong-Ho Lee, Illsoo Sohn, Yong-Hwa Kim
doaj   +1 more source

Toward Perception‐Native Electronic Skin: Bio‐Inspired In‐/Near‐Sensor and Neuromorphic Computing for Humanoid Robots

Advanced Materials Technologies, EarlyView.
Dense tactile streams from across the humanoid body converge on collide in a central wiring and data bottleneck. By relocating computation closer to and then into the skin itself, near‐ and in‐sensor architectures, together with neuromorphic computing, chart a path toward perception‐native electronic skin, in which the conversion of stimulus into ...
Mijin Kim, Chang‐Jae Beak, Jiyoung Park, Youngdo Jung, Sunjong Oh, Sin‐Hyung Lee, Bo‐Yeon Lee   +6 more
wiley   +1 more source

Wireless Surveillance With Interference Exploitation in Unauthorized Underlaid D2D Networks

IEEE Access, 2020
Interference exploitation has been considered an effective method to improve secrecy in underlaid device-to-device (D2D) communication networks. This paper studied interference exploitation in unauthorized underlaid D2D communication networks, where a ...
Yingdong Hu, Shibing Zhang, Jue Wang, Ye Li, Lili Guo   +4 more
doaj   +1 more source

Recent Advances in Light‐Addressable Electrochemistry for Spatially Resolved Applications

Advanced Materials Technologies, EarlyView.
This comprehensive review highlights light‐addressable electrochemistry as a powerful tool that uses light to control localized chemical reactions on unstructured semiconductor surfaces. The work evaluates advanced strategies to optimize electrode materials for enhanced spatial resolution and stability. Furthermore, it showcases diverse applications in
Nhi Trang Vo, Sina Jamali, Nam‐Trung Nguyen   +2 more
wiley   +1 more source

A Two-Stage Wideband RF Cancellation of Coupled Transmit Signal for Bi-Static Simultaneous Transmit and Receive System

IEEE Journal of Microwaves, 2022
Wireless technology is growing at a fast rate to accommodate the expanding user demands. Currently, the radio frequency (RF) spectrum is overcrowded. Hence, it is more susceptible to signal fratricide and interference. To enhance spectrum access, in-band
Md Nurul Anwar Tarek, Rimon Hokayem, Sandhiya Reddy Govindarajulu, Markus H. Novak, Elias A. Alwan   +4 more
doaj   +1 more source

Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models

Advanced Robotics Research, EarlyView.
A multimodal human–robot interaction framework integrates human pose estimation (HPE) and a large language model (LLM) for gesture‐ and voice‐based robot control. Speech‐to‐text (STT) enables voice command interpretation, while a safety‐aware arbitration mechanism prioritizes gesture input for rapid intervention.
Nasiru Aboki, Ilche Georgievski, Marco Aiello   +2 more
wiley   +1 more source

LLM‐Integrated Human–Robot Interaction System for Microrobots

Advanced Robotics Research, EarlyView.
This paper proposes an LLM‐based control framework for guiding microrobots using human natural language. This framework can convert the natural human speech into safe and executable command sets for reliable navigation in complex environments. The experimental results show high accuracy and robustness in task performance, demonstrating the potential of
Bairong Zhu, Amar Salehi, Tingting Yu
wiley   +1 more source