Results 201 to 210 of about 42,403 (260)

Viral Infection‐Inspired Autonomous Detection of Fusion‐Competent Viruses for Screening and Environmental Surveillance

Advanced Materials, EarlyView.
Inspired by viral entry mechanisms, the FUSION assay enables autonomous detection of respiratory viruses via membrane fusion–triggered CRISPR‐Cas13a activation. VEACON selectively fuses with fusion‐competent viruses, triggering fluorescence within confined vesicles.
Jae Chul Park, Yidam Song, Hyun‐Woo Choi, Jaeuk Sung, Harin Jin, WonSeok Gwak, Kirim Yoo, Soohwang Lee, Jongeon Park, Jeongmin Kim, Hye‐Jun Jo, Jahyun Koo, Youngdo Jeong, Kwan Hyi Lee, Seung‐Jung Kee, Hojun Kim   +15 more
wiley   +1 more source

Stable Protein‐Based G‐Quadruplex‐Derived Supramolecular Bioinks as Tunable ECM‐Mimetic Constructs Assembled by Combining Non‐Covalent and Covalent Strategies

Advanced Materials, EarlyView.
Harnessing the synergistic interplay of supramolecular self‐assembly, under macromolecular crowding conditions, and enzymatic‐mediated covalent crosslinking toward a stable protein‐based G‐quadruplex‐derived supramolecular bioink. This bioinspired strategy enables the biofabrication of complex and tunable ECM‐mimetic constructs, providing a platform ...
Vera Sousa, Rita Sobreiro‐Almeida, Bart W. L. van den Bersselaar, E. W. Meijer, Ghislaine Vantomme, João Borges, João F. Mano   +6 more
wiley   +1 more source

Moisture content online detection system based on multi-sensor fusion and convolutional neural network. [PDF]

Front Plant Sci
Yang T, Zheng X, Xiao H, Shan C, Zhang J.   +4 more
europepmc   +1 more source

All‐Optical Reconfigurable Physical Unclonable Function for Sustainable Security

Advanced Materials, EarlyView.
An all‐optical reconfigurable physical unclonable function (PUF) is demonstrated using plasmonic coupling–induced sintering of optically trapped gold nanoparticles, where Brownian motion serves as a robust entropy source. The resulting optical PUF exhibits high encoding density, strong resistance to modeling attacks, and practical authentication ...
Jang‐Kyun Kwak, Changgyun Moon, Hyun‐Bin Yu, Sunkook Kim, Dong‐Hwan Kim   +4 more
wiley   +1 more source

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Multi-sensor fusion: a perspective

Proceedings., IEEE International Conference on Robotics and Automation, 2002
A survey of the state of the art in multisensor fusion is presented. Papers related to fusion have been surveyed and classified into six categories: scene segmentation, representation, 3-D shape, sensor modeling, autonomous robots, and object recognition. A number of fusion strategies have been employed to combine sensor outputs. These strategies range
Hackett, Jay K., Shah, Mubarak
openaire   +1 more source

MULTI-SENSOR FUSION FOR VIDEO SEGMENTATION

International Journal of Pattern Recognition and Artificial Intelligence, 2014
Video Segmentation is a fundamental task in computer vision. In many sequences, appearance does not provide enough information to solve the problem. Time-of-Flight cameras provide additional information, namely depth, that can be integrated as an additional feature in a segmentation approach.
Bjxf6rn Scheuermann, Bodo Rosenhahn
openaire   +1 more source

Study of multi-sensor fusion for localization

2019 IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR), 2019
This article covers implementation and testing of sensor data fusion for robot localization. System is capable of finding robot in known environment using LIDAR, odometry and RFID tags. The localization algorithm is based on the particle filter implemented in NVIDIA CUDA. It fuses 3D LIDAR, odometry and RFID data.
Michal Pelka, Karol Majek, Jakub Ratajczak, Janusz Bedkowski, Andrzej Maslowski   +4 more
openaire   +1 more source

An Estimator for Multi-Sensor Data Fusion

2006 IEEE International Conference on Systems, Man and Cybernetics, 2006
In this paper, we examine binary hypothesis testing and parameter estimation problem in a sensor network. We address the problem of detection and also the estimation of the underlying parameter at the fusion center by optimally combining the test statistics sent by different sensors.
Chandrashekhara Thejaswi P. S., S. Viswanath Ganapathy, Ranjeet Kumar Patro, Manik Raina, Subhas Kumar Ghosh   +4 more
openaire   +1 more source

Multi-sensor fusion development

SPIE Proceedings, 2016
The U.S. Army Research Laboratory (ARL) and McQ Inc. are developing a generic sensor fusion architecture that involves several diverse processes working in combination to create a dynamic task-oriented, real-time informational capability. Processes include sensor data collection, persistent and observational data storage, and multimodal and multisensor
Sheldon Bish, Matthew Rohrer, Peter Scheffel, Kelly Bennett   +3 more
openaire   +1 more source

Multi-sensor image fusion

Proceedings of 1st International Conference on Image Processing, 2002
We present a new fusion algorithm based on a non-hierarchical fusion scheme. This new fusion algorithm uses a biologically inspired merging rule to combine multiple arbitrary sized sensor images into a single image without any parameter setting. Features from each individual sensor image are not only well retained in the fused image but also enhanced ...
openaire   +1 more source