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Full-Text Articles in Engineering

Journal Of The Arkansas Academy Of Science - Volume 70 2016, Academy Editors Jan 2016

Journal Of The Arkansas Academy Of Science - Volume 70 2016, Academy Editors

Journal of the Arkansas Academy of Science

No abstract provided.


Polyethylene Oxide Nanofiber Production By Electrospinning, H. E. Schneider, J. G. Steuber, W. Du, M. Mortazavi, D. W. Bullock Jan 2016

Polyethylene Oxide Nanofiber Production By Electrospinning, H. E. Schneider, J. G. Steuber, W. Du, M. Mortazavi, D. W. Bullock

Journal of the Arkansas Academy of Science

Electrospinning is an inexpensive technique that is used to produce nanofibers for a variety of applications. In electrospinning, a polymer solution is dispensed from a hypodermic-like syringe where an intense electric field attracts the solution to a collector while drawing the polymer into a very thin fiber. The diameter of the fiber can be controlled by tuning the process parameters such as the applied electric field, solution flow rate, distance between syringe tip and collector, and the collector geometry. In this paper we describe results from electrospinning poly(ethylene oxide) (PEO), a likely candidate for applications involving scaffolding for tissue engineering. …


A New Technique To Improve The Operation Of Prosthetic Limbs During Muscle Fatigue, H. Albunashee, G. Rasool, K. Iqbal, G. White Jan 2016

A New Technique To Improve The Operation Of Prosthetic Limbs During Muscle Fatigue, H. Albunashee, G. Rasool, K. Iqbal, G. White

Journal of the Arkansas Academy of Science

Prosthetic limbs hold a promise to renew the quality of life for the amputee. Neural commands are decoded via a classifier to generate control signals for the prosthetic devices. In the literature, many challenges and limitations have been identified that affect the prosthesis operation. One such drawback is muscle fatigue which degrades the surface electromyogram (sEMG) signals, and consequently, the performance of the deployed classification algorithm declines from 90% to 50% of average accuracy. We used a new technique using the Linear Discrimination Analysis (LDA) algorithm and the muscle synergy-based task discrimination (MSD) algorithm to improve the classification accuracy. In …