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Multiscale Sensing: A new paradigm for actuated sensing of high frequency dynamic phenomena

Amarjeet Singh, Diane Budzik, Willie Chen, Maxim Batalin, Michael Stealey, Henrik Borgstrom, William Kaiser
2006 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems  
This requires mobile sensing elements to perform guided sampling in regions of high variability. We propose a multiscale approach for efficiently sampling such phenomena.  ...  This requires mobile sensing elements to perform guided sampling in regions of high variability. We propose a multiscale approach for efficiently sampling such phenomena.  ...  Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the NSF.  ... 
doi:10.1109/iros.2006.282517 dblp:conf/iros/SinghBCBSBK06 fatcat:grykyntpxregrllrhhvqg5jhme

Merging advanced sensing techniques and simulation tools for future structural health monitoring technologies

Ludovic Chamoin
2021 The project repository journal : prj 9  
control of their health and take anticipated actions during service for increased reliability and performance.  ...  Its innovative concept is a synergistic, real- time, and robust dialogue between advanced sensing techniques and powerful simulation tools to make all knowledge on the physical system available and perform  ...  of 250 Hz) • a Stewart platform (six-actuator parallel-kinematic hexapod) with high multiaxial load capacity to perform active structural command.  ... 
doi:10.54050/prj10124127 fatcat:wr7hcp6btvegbhivwv4a4me6ua

Multiscale modeling and imaging: the challenges of biocomplexity

J. Demongeot, J. Bezy-Wendling, J. Mattes, P. Haigron, N. Glade, J.L. Coatrieux
2003 Proceedings of the IEEE  
The recursion between description levels for highly dynamical, interacting and complex systems, i.e the integrative approach, is a very challenging topic where formal models, observational tools and experimental  ...  Computational modeling and imaging in biology and medicine are gaining more and more interest with the discovery of in-depth structural and functional knowledge at all space and time scales (molecule to  ...  breakthroughs emerging from micro-arrays, integrated sensing-actuating devices, etc., which will determine the nature, scale, and quality of observations, all elements critical for any improvements in  ... 
doi:10.1109/jproc.2003.817878 fatcat:pkndy6vlxfcfzgawics55ou6ra

An Overview of Multiscale Simulations of Materials [article]

Gang Lu and Efthimios Kaxiras (Department of Physics, Harvard University)
2004 arXiv   pre-print
We provide a comprehensive, though not exhaustive, overview of the current status of multiscale simulations of materials.  ...  Multiscale modeling of material properties has emerged as one of the grand challenges in material science and engineering.  ...  In this sense, it fulfills all the requirements for a coherent and complete multiscale model.  ... 
arXiv:cond-mat/0401073v1 fatcat:mrmtseufmzfh7iliot26nlgdry

Macro phenomena vs micro responses. Multiscale approaches in the dynamic relationship between envelope and context

Maria Teresa Lucarelli, Martino Milardi, Mariateresa Mandaglio, Caterina Claudia Musarella
2020 AGATHÓN - International Journal of Architecture Art and Design  
An example is the use of the 'multiscalar vision' in research as a useful criterion for understanding phenomena, both material and immaterial.  ...  scale, the new qualitative and performance responses of envelope systems – innovative and not – that today characterize the panorama of contemporary architecture.  ...  Acknowledgements The contribution is the result of a common reflection of the Authors, who are part of the Research Unit AP-  ... 
doi:10.19229/2464-9309/732020 doaj:ea89136d4ca2454baf9a1c407f549878 fatcat:m6lbhc3mivf4poumky72722h5i

Survey of Deep-Learning Approaches for Remote Sensing Observation Enhancement

Grigorios Tsagkatakis, Anastasia Aidini, Konstantina Fotiadou, Michalis Giannopoulos, Anastasia Pentari, Panagiotis Tsakalides
2019 Sensors  
In remote sensing, a large body of research has been devoted to the application of deep learning for typical supervised learning tasks such as classification.  ...  In this paper, we provide a comprehensive review of deep-learning methods for the enhancement of remote sensing observations, focusing on critical tasks including single and multi-band super-resolution  ...  Analyzing observations from a single time instance cannot provide the necessary insight into the temporal dynamics of phenomena of interest.  ... 
doi:10.3390/s19183929 fatcat:fp7lezjwcfg5fol5hxmgoejg7a

Materials integrity in microsystems: a framework for a petascale predictive-science-based multiscale modeling and simulation system

Albert C. To, Wing Kam Liu, Gregory B. Olson, Ted Belytschko, Wei Chen, Mark S. Shephard, Yip-Wah Chung, Roger Ghanem, Peter W. Voorhees, David N. Seidman, Chris Wolverton, J. S. Chen (+6 others)
2008 Computational Mechanics  
A component-based software strategy will be used in the development of our massively parallel multiscale simulation system.  ...  The development of a petascale predictive-science-based multiscale modeling and simulation system will advance the field of predictive multiscale science so that it can be used to reliably analyze problems  ...  desired high frequency of operation.  ... 
doi:10.1007/s00466-008-0267-1 fatcat:nt2nfepitfawthevze5pufoaeq

An IoT Smart Infrastructure for S. Domenico Church in Matera's "Sassi'': A Multiscale Perspective to Built Heritage Conservation

Antonella Lerario, Antonietta Varasano
2020 Sustainability  
The paper presents a smart sensor-based infrastructure for the structural monitoring of S.  ...  To this end, Information and Communication Technologies (ICTs) have delivered a crucial support mainly in terms of public attraction and creation of new cultural offers.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/su12166553 fatcat:ngizzlmmaze6feaimzea66m27y

Data-Driven Sparse Sensor Placement for Reconstruction: Demonstrating the Benefits of Exploiting Known Patterns

2018 IEEE Control Systems  
Although compressed sensing can recover a wider class of signals, we demonstrate the benefits of exploiting known patterns in data with optimized sensing.  ...  Optimal sensor placement is a central challenge in the design, prediction, estimation, and control of high-dimensional systems.  ...  Acknowledgments The authors thank Eurika Kaiser, Joshua Proctor, Bernd Noack, Tom Hogan, and Joel Tropp for valuable discussions.  ... 
doi:10.1109/mcs.2018.2810460 fatcat:iy7j5eqtifd55cvg4r4baxvgmq

Nanomechanical resonators and their applications in biological/chemical detection: Nanomechanics principles

Kilho Eom, Harold S. Park, Dae Sung Yoon, Taeyun Kwon
2011 Physics reports  
the resonant frequencies of the nanomechanical resonator.  ...  Specifically, we will focus on issues of special relevance to the dynamic behavior of nanoresonators and their applications in biological/chemical detection.  ...  This high frequency dynamic behavior is achieved by scaling down the size of the resonator because the resonant frequency is proportional to L −2 , where L is the length of a device.  ... 
doi:10.1016/j.physrep.2011.03.002 fatcat:zxq5lcdhhve4llmrvukcghqaty

Towards Next Generation Fiber-Reinforced Polymer Composites: A Perspective on Multifunctionality

Congcomg Luan, Sahitya Movva, Kan (Kevin) Wang, Xinhua Yao, Chuck Zhang, Ben Wang
2019 Functional Composites and Structures  
In the following sections, strain sensing and damage sensing are discussed, followed by a study of actuation and intrinsic and extrinsic self-healing functions.  ...  It can also be called a self-sensing composite. A self-sensing polymer composite usually consists of two components: functional fillers and the polymer matrix.  ...  Mortazavi et al have used molecular dynamics and finite element methods to develop a multiscale approach of three different scales for estimating the thermal conductivity of graphene epoxy nanocomposites  ... 
doi:10.1088/2631-6331/ab47f9 fatcat:mt5kugx4ojcifofuun7q6lciea

Neuron-like Signal Propagation for OWC Nanonetworks

Joao Pandeirada, Luis Nero Alves, Zabih Ghassemlooy
2020 2020 3rd West Asian Symposium on Optical and Millimeter-wave Wireless Communication (WASOWC)  
Neuron-inspired signal propagation is proposed for communication in networks of nanodevices.  ...  To achieve that, a brain inspired spiking neural network with pattern recognition and relaying capabilities is presented.  ...  ACKNOWLEDGMENTS This work is supported by H2020/MSCA-ITN funding program under the framework of the European Training Network on Visible Light Based Interoperability and Networking, project (VisIoN) grant  ... 
doi:10.1109/wasowc49739.2020.9410129 fatcat:hujfippsunefjhhe5z336ytosm

Coupled Multiphysics Modelling of Sensors for Chemical, Biomedical, and Environmental Applications with Focus on Smart Materials and Low-Dimensional Nanostructures

Sundeep Singh, Roderick Melnik
2022 Chemosensors  
The modelling of such materials in their dynamics-enabled applications represents a significant challenge as we have to deal with strongly nonlinear coupled problems, accounting for dynamic interactions  ...  Such multiscale models require state-of-the-art techniques for their solutions, and we provide an overview of the associated numerical methodologies and approaches in this context.  ...  Acknowledgments: R.M. is also acknowledging the support of the BERC 2022-2025 program and the Spanish Ministry of Science, Innovation, and Universities through the Agencia Estatal de Investigacion (AEI  ... 
doi:10.3390/chemosensors10050157 pmid:35909810 pmcid:PMC9171916 fatcat:vk7tqgmpkzhprfzgpxz74rh7wq

The Potential of MEMS for Advancing Experiments and Modeling in Cell Mechanics

O. Loh, A. Vaziri, H. D. Espinosa
2007 Experimental mechanics  
In closing, novel MEMS sensor and actuator schemes that have yet to materialize in this field are discussed to motivate the next generation of MEMS for investigations in cell mechanics.  ...  We then focus on a representative set of MEMS-based devices designed for investigations in cell mechanics and point to the fact that, while these devices have yet to maximize their functionality through  ...  These sensing and actuation schemes will make possible self-sensing and actuating devices, eliminating the need for off-chip systems.  ... 
doi:10.1007/s11340-007-9099-8 fatcat:5aii7cojkna2fic7mxpmwwrwba

Intelligent Soft Surgical Robots for Next‐Generation Minimally Invasive Surgery

Jiaqi Zhu, Liangxiong Lyu, Yi Xu, Huageng Liang, Xiaoping Zhang, Han Ding, Zhigang Wu
2021 Advanced Intelligent Systems  
Acknowledgements The materials based on the work were partly financially supported by National Key R&D Program of China (2017YFB1303100) and National Science Foundation of China (U1613204).  ...  [432, 433] These new structural paradigms will greatly broaden the capabilities of MIS and provide surgeons with new opportunities for future precision operation or new therapy methods.  ...  of a shape-sensing algorithm  ... 
doi:10.1002/aisy.202100011 fatcat:3zntsfo5yrajbel5pyfn4yjrcq
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