Results 111 to 120 of about 293,359 (293)

Ductility Tuning via Cluster Network Characteristics of Porous Components

Advanced Materials Technologies, EarlyView.
Network optimization via cluster characteristics induced by interaction of stress concentration is proposed, demonstrating increased cluster size and dispersion in non‐uniform porous components. The optimized structures exhibit, for the first time, that enhanced ductility and damage progression is controllable through zigzag cluster network designed by
Ryota Toyoba, Yuichi Otsuka, Ian J Davies, Naritoshi Aoyagi, Yukio Miyashita   +4 more
wiley   +1 more source

Flow‐Adaptive Gas Sensing Enabled Using a Uniform Au Nanosheet Sensor Array and a Neural Network Inference

Advanced Materials Technologies, EarlyView.
Integrated Au nanosheet sensor array enables simultaneous inference of gas concentration and flow rate via deep neural network analysis, without external flow control. ABSTRACT Gas sensor responses are considerably affected by gas flow rates, thereby inhibiting the accurate detection of target gas concentrations in variable‐flow applications such as ...
Taro Kato, Takahisa Tanaka, Yusuke Hamanaka, Ryo Toyoshima, Ken Uchida   +4 more
wiley   +1 more source

Enhancing Security in Industrial IoT Networks: Machine Learning Solutions for Feature Selection and Reduction

IEEE Access
The increasing deployment of Internet of Things devices has introduced significant cyber security challenges, creating a need for robust intrusion detection systems.
Ahmad Houkan, Ashwin Kumar Sahoo, Sarada Prasad Gochhayat, Prabodh Kumar Sahoo, Haipeng Liu, Syed Ghufran Khalid, Prince Jain   +6 more
doaj   +1 more source

Transducers Across Scales and Frequencies: A System‐Level Framework for Multiphysics Integration and Co‐Design

Advanced Materials Technologies, EarlyView.
Transducers convert physical signals into electrical and optical representations, yet each mechanism is bounded by intrinsic trade‐offs across bandwidth, sensitivity, speed, and energy. This review maps transduction mechanisms across physical scale and frequency, showing how heterogeneous integration and multiphysics co‐design transform isolated ...
Aolei Xu, Mengyao Xiao, Zhouli Sui, Yinpeng Wang, Daoye Zheng, Yuxin Liu, Luwei Wang, Huajun Liu, Chengkuo Lee   +8 more
wiley   +1 more source

Control Technology of Master-Master Working Mode for Advanced Aircraft Dual-Redundancy Electro-Hydrostatic Flight Control Actuation System

Applied System Innovation
In response to the demands for high reliability, excellent dynamic response, and high-precision control of advanced aircraft actuation systems, this study focuses on the control technology for the master-master operating mode of dual-redundancy electro ...
Xin Bao, Yan Li, Zhong Wang, Rui Wang
doaj   +1 more source

RNPE: An MSDF and Redundant Number System-Based DNN Accelerator Engine

IEEE Access
Deep neural network (DNN) is becoming pervasive in today’s applications with intelligent autonomy. Nonetheless, the ever-increasing complexity of modern DNN models caused several challenges on edge devices, struggling to support the intensive computing demands.
Iraj Moghaddasi, Ghassem Jaberipur, Danial Javaheri, Byeong-Gyu Nam   +3 more
openaire   +2 more sources

Microfluidic Hydroporation Platform for Effective Allogeneic CAR‐T Cell Production and Subsequent Functional Cytotoxicity Analysis

Advanced Materials Technologies, EarlyView.
The hydroporator platform employs controlled hydrodynamic deformation for efficient mRNA and CRISPR/Cas9 delivery into primary human T cells, enabling allogeneic CAR‐T cell manufacturing. It preserves cell functionality and drives potent gene editing, CAR expression, and tumor cytotoxicity, while feature‐based analysis links these functional outcomes ...
Soohyun Jeon, Sein Kim, Hyun‐Young Kim, Duck Cho, Sungsu Park, Seohyun Kim, Aram J. Chung   +6 more
wiley   +1 more source

Preservation of Extracellular Vesicle Integrity and Cargo Using Spiral Microfluidic Chip‐Based Separation

Advanced Materials Technologies, EarlyView.
A spiral microfluidic chip is compared with ultrafiltration for the separation of extracellular vesicles (EVs). The method preserves miRNA cargo and membrane integrity more effectively, resulting in intact vesicle morphology and consistent surface biomarker expression.
Huiseop Lee, Sehyeon Kim, Dasom Kong, Hye‐min Park, Hyun‐Ji Park, Jinsik Kim   +5 more
wiley   +1 more source

Non‐Invasive Multidimensional Capacitive Sensing for In Vivo Traumatic Brain Injury Monitoring

Advanced Materials Technologies, EarlyView.
Single‐electrode, multidimensional capacitive sensors noninvasively assess cerebral autoregulation and compliance for traumatic brain injury monitoring. ABSTRACT Traumatic brain injury (TBI) is a major cause of death and disability, but invasive intracranial pressure (ICP) monitoring is risky, and current non‐invasive methods lack the resolution and ...
Shawn Kim, Yu‐Jen Cheng, Tianyi Li, Nathan White, Xu Wang, Kristyn Ringgold, Lauren Neidig, Younghoon Kwon, Jae‐Hyun Chung   +8 more
wiley   +1 more source

Extreme‐Temperature Resistant, Flexible, and Sensitive Strain Sensor for Aerospace Parachute Deployment

Advanced Materials Technologies, EarlyView.
In this study, we report a resistive‐type strain sensor fabricated using single‐walled CNTs, are used layer using the pray technique to deposit as conductive, and UV‐resin was spin‐coated as a protection layer. The sensor functioned in harsh temperature variation conditions from −50°C to 125°C without deterioration.
Jagan Singh Meena, Lucas Lum Yu Xiang, Dhivya Dharshini Kannan, Chun Fei Siah, Yeow Kheng Lim   +4 more
wiley   +1 more source