Advanced Self Powered Systems of Sensors and Technologies Center
Works Published in 2019
Displaying works 21 - 40 of 158 in total
Sorted by most recent date added to the index first, which may not be the same as publication date order.
2019 conference paper
Micro Characterization of z-resistance of papers
Tappi-Papercon Conference 2019.
Source: NC State University Libraries
Added: August 19, 2022
2019 conference paper
Functional Materials through Surface and Interfaces
3M techforum.
Source: NC State University Libraries
Added: August 19, 2022
2019 journal article
Determining Surface Energy of Porous Substrates by Spray Ionization
Langmuir, 35(43), 13853–13859.
TL;DR:
A three-parameter empirical model suggests that the experimentally observed ion current profile is governed by differential partitioning of analyte controlled by the interfacial forces between the wetting solvent and the porous substrate.
(via Semantic Scholar)
lib.dr.iastate.edu (repository)
UN Sustainable Development Goal Categories
7. Affordable and Clean Energy
(OpenAlex)
Source: ORCID
Added: August 3, 2022
2019 journal article
Heat‐Free Fabrication of Metallic Interconnects for Flexible/Wearable Devices
Advanced Functional Materials.
author keywords: heat-free solder; interconnects; liquid metal; multimaterial manufacturing; undercooled
Source: ORCID
Added: August 3, 2022
2019 journal article
Effect of surface morphologies and chemistry of paper on deposited collagen
Applied Surface Science, 484, 461–469.
author keywords: Paper; Cellulose; Collagen; Scaffold
TL;DR:
This work elucidates the effect of varying paper roughness and surface chemistry on NIH/3T3 fibroblasts via organization of excreted collagen and infer that the increased roughness improves collagen adsorption through capillary driven petal effect.
(via Semantic Scholar)
Source: ORCID
Added: August 3, 2022
2019 journal article
Rapid Prototyping of Reconfigurable Microfluidic Channels in Undercooled Metal Particle-Elastomer Composites
Industrial & Engineering Chemistry Research, 58(10), 4137–4142.
UN Sustainable Development Goal Categories
7. Affordable and Clean Energy
(OpenAlex)
Source: ORCID
Added: August 3, 2022
2019 journal article
Virtual Issue: Next-Generation Smart Materials
Macromolecules, 52(17), 6339–6341.
Source: ORCID
Added: August 3, 2022
2019 journal article
Ambient synthesis of nanomaterials by in situ heterogeneous metal/ligand reactions
Nanoscale.
TL;DR:
This work presents a general scalable method for continuous, heat free and water-based coordination polymer synthesis and demonstrates control over crystal structure and morphology by tuning the metal center, stoichiometry and structure of the ligands.
(via Semantic Scholar)
Source: ORCID
Added: August 3, 2022
2019 chapter
Hybrid wearable robotic exoskeletons for human walking
In Wearable Robotics: Systems and Applications (pp. 347–364).
Contributors: J. Moreno *, S. Mohammed *, N. Sharma* & A. Del-Ama *
TL;DR:
This chapter aims at revising in detail the recent advances in such hybrid robotic technology as well as new perspectives on assistive and neurorehabilitation applications and provides an updated overview of the technology and its perspectives with regard to real use aswell as directions for future research in this field.
(via Semantic Scholar)
Source: ORCID
Added: July 28, 2022
2019 speech
New Control and Sensing Approaches for Integrating Functional Electrical Stimulation in a Wearable Exoskeletons
Sharma, N. (2019, February). Presented at the Joint Department of Biomedical Engineering Raleigh: North Carolina State University, University of North Carolina at Chapel Hill.
Event: at Joint Department of Biomedical Engineering Raleigh: North Carolina State University, University of North Carolina at Chapel Hill on February 25, 2019
Source: NC State University Libraries
Added: September 26, 2021
2019 conference paper
Neural-Network Based Iterative Learning Control of a Hybrid Exoskeleton with an MPC Allocation Strategy
[Paper]. Proceedings of the ASME Dynamic Systems Control Conference, 1(DSCC2019-9191).
Contributors: V. Molazadeh*, Q. Zhang *, X. Bao * & N. Sharma*
Event: Dynamic Systems and Control (DSC) Conference at Park City, UT on October 8-11, 2019
TL;DR:
A novel neural network based iterative learning controller for a hybrid exoskeleton uses a model predictive control strategy to address modeling uncertainties and stabilizes the hybrid system for sitting to standing and standing to sitting scenarios.
(via Semantic Scholar)
Sources: ORCID, NC State University Libraries, NC State University Libraries
Added: September 24, 2021
2019 conference paper
Muscle Fatigue Assessment in a Wearable Neuroprosthesis Using Ultrasound Strain Imaging
Sheng, Z., Sharma, N., & Kim, K. (2019, June 24). Presented at the International Functional Electrical Stimulation Society Conference, Toronto, Canada.
Event: International Functional Electrical Stimulation Society Conference at Toronto, Canada on June 24-28, 2019
Source: NC State University Libraries
Added: September 23, 2021
2019 journal article
A Robust Iterative Learning Switching Controller for following Virtual Constraints: Application to a Hybrid Neuroprosthesis
IFAC-PapersOnLine, 51(34), 28–33.
Contributors: V. Molazadeh*, Z. Sheng *, X. Bao * & N. Sharma*
TL;DR:
The synthesis of iterative learning control with sliding-mode control improves tracking performance and accuracy and the effectiveness of the new iterativeLearning control for output tracking is verified in a simple model of walking that has active actuation at the hip joints.
(via Semantic Scholar)
Sources: Crossref, NC State University Libraries, ORCID
Added: September 23, 2021
2019 conference paper
Ankle Dorsiflexion Strength Monitoring by Combining Sonomyography and Electromyography
2019 IEEE 16th International Conference on Rehabilitation Robotics (ICORR), 2019-June, 240–245.
Contributors: Q. Zhang *, Z. Sheng *, F. Moore-Clingenpeel*, K. Kim & N. Sharma*
Event: 2019 IEEE 16th International Conference on Rehabilitation Robotics (ICORR) at Toronto, Ontario, Canada on June 24-28, 2019
MeSH headings : Adult; Ankle / physiology; Electromyography; Humans; Isometric Contraction / physiology; Linear Models; Male; Muscle, Skeletal / physiology; Range of Motion, Articular / physiology; Signal Processing, Computer-Assisted; Ultrasonics
TL;DR:
The new method shows an improved linear correlation with the muscle strength, compared to the correlations between the Muscle strength and sole sEMG signal or sole PA signal, where the R-squared values are improved by 4.21 % and 1.99 %.
(via Semantic Scholar)
Sources: Crossref, NC State University Libraries, ORCID
Added: September 23, 2021
2019 journal article
Lyapunov-based Model Predictive Control of an Input Delayed Functional Electrical Simulation
IFAC-PapersOnLine, 51(34), 290–295.
author keywords: FES; LMPC; EMD
TL;DR:
A Lyapunov-based model predictive control method to control knee extension during an input-delayed neuromuscular electrical stimulation that achieves system stability despite an unknown constant input delay and imperfectly estimated model parameters is developed.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
16. Peace, Justice and Strong Institutions
(OpenAlex)
Sources: Crossref, NC State University Libraries, ORCID
Added: September 23, 2021
2019 conference paper
Tube-based Model Predictive Control of An Input Delayed Functional Electrical Stimulation
2019 American Control Conference (ACC), 2019-July, 5420–5425.
Event: 2019 American Control Conference (ACC)
TL;DR:
A novel tube-based MPC for controlling knee extension elicited through FES was developed, and the EMD compensation controller was chosen to be the tube that reduced the error between the nominal MPC and the output of the real system.
(via Semantic Scholar)
Sources: Crossref, NC State University Libraries, ORCID
Added: September 23, 2021
2019 conference paper
Observer Design for a Nonlinear Neuromuscular System with Multi-rate Sampled and Delayed Output Measurements
2019 American Control Conference (ACC), 2019-July, 872–877.
Contributors: Q. Zhang *, Z. Sheng *, K. Kim & N. Sharma*
Event: 2019 American Control Conference (ACC)
TL;DR:
An observer design is proposed to estimate ankle kinematics that are elicited volitionally by constructing a Lyapunov-Krasovskii function, sufficient conditions are derived to prove the exponential stability of the estimation error.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(OpenAlex)
Sources: Crossref, NC State University Libraries, ORCID
Added: September 23, 2021
2019 journal article
Model Predictive Control of a Feedback-Linearized Hybrid Neuroprosthetic System With a Barrier Penalty
Journal of Computational and Nonlinear Dynamics, 14(10).
TL;DR:
An electric motor-assist is proposed to alleviate the fatigue effects by sharing work load with FES and the dynamics is feedback linearized so that the nominal model inside the MPC method becomes linear.
(via Semantic Scholar)
Sources: Crossref, NC State University Libraries, ORCID
Added: September 23, 2021
2019 journal article
Ultrasound Tracking of the Acoustically Actuated Microswimmer
IEEE Transactions on Biomedical Engineering, 66(11), 3231–3237.
author keywords: Microswimmer; acoustically actuated; ultrasound tracking; biomedical applications
MeSH headings : Acoustics; Algorithms; Biomedical Engineering / instrumentation; Drug Delivery Systems; Equipment Design; Microbubbles; Microtechnology / instrumentation; Motion; Phantoms, Imaging; Ultrasonography / methods; Video Recording
TL;DR:
Ultrasound imaging is a promising candidate for noninvasively tracking the motion of microswimmers inside the body in biomedical applications and may further promote the real-time control strategy for the microswimmer.
(via Semantic Scholar)
Source: ORCID
Added: August 12, 2021
2019 journal article
Sub-optimally solving actuator redundancy in a hybrid neuroprosthetic system with a multi-layer neural network structure
International Journal of Intelligent Robotics and Applications, 3(3), 298–313.
Contributors: X. Bao *, Z. Mao *, P. Munro *, Z. Sun * & N. Sharma*
author keywords: Hybrid neuroprosthesis; Actuator redundancy; Rehabilitation; Neural network; Reinforcement learning
TL;DR:
A novel identification and control structure that contains a recurrent neural network (RNN) and several feedforward neural networks (FNNs), trained by supervised learning to identify the system dynamics, and experimentally validated on a seated human participant using a single joint hybrid neuroprosthesis.
(via Semantic Scholar)
Source: ORCID
Added: August 12, 2021
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