8 research outputs found
Usability of Access Ramps and Securement Systems on Transit Buses for Wheeled Mobility Device Users
No full textAbstract
Date Presented 3/30/2017
This study evaluated six ramp conditions and three securement devices encountered by wheeled mobility device users when using transit buses. The findings will help occupational therapists anticipate potential barriers and suggest accommodation strategies to improve community mobility outcomes for clients.
Primary Author and Speaker: Brittany Perez
Additional Authors and Speakers: Jim Lenker
Contributing Authors: Victor Paquet, Lydia Kocher, Medha Nemade</jats:p
Modelling and Finite Element Simulation of a Surface Acoustic Wave Driven Linear Motor
No full textAbstractThe paper presents modeling and finite element simulation of a surface acoustic wave (SAW) linear motor. A SAW linear motor works on the principle of friction drive provided by SAW propagating on a piezoelectric stator. The SAW motor comprises of a cubical slider driven by Rayleigh wave generated on a piezoelectric substrate using an interdigital transducer (IDT) fabricated on the stator. In the study, a lithium niobate piezoelectric substrate is used as the stator on which aluminum IDTs are fabricated at the two edges and a cuboid slider is placed in the path of SAW propagation along with a preload. The characteristics such as displacement, velocity and forces acting on the slider for different amplitudes of wave excitations are studied. The slider in the SAW motor can move both in forward and reverse directions and the motor attains a saturated velocity with the continuous wave excitation
Structural, electrical and optical properties of nanostructured ZrO2 thin film deposited by SILAR method
No full textModeling and Simulation of a Piezoelectric Vibration Energy Harvester
No full textAbstractThe paper presents a lumped parameter model of a vibration energy harvester consisting of a bimorph piezoelectric cantilever with end mass. Stress on the piezoelectric material which is primarily accountable for the generation of electrical energy in the harvester is obtained along the beam length in terms of the end mass displacement. The model is applicable for parallel as well as series connection of the piezoelectric layers, and used to obtain resonant frequency, displacement of end mass and generated voltage across resistive load. Effect of load resistance on the resonant frequency and generated power is studied, and the results are verified with the finite element analysis in COMSOL Multiphysics
Simulation of Longitudinal Mode of Vibration in Piezoelectric Monolayer MoS2
No full textAbstractMonolayer molybdenum disulphide (MoS2) is one of the desired materials for the new age piezoelectric devices. The main objective of the paper is to present the finite element (FE) simulation of piezoelectric monolayer MoS2 in COMSOL Multiphysics software. A rectangular MoS2 sheet is simulated in fixed-fixed end and free-free end configuration. The eigenmode analysis is done and the eigen frequency is calculated. Due to the presence of one molecular layer and piezoelectric matrix the vibration should be in longitudinal mode. The longitudinal acoustic velocity is also calculated from the simulation and is verified analytically
Classification of seizure and seizure free EEG signals using optimal mother wavelet and relative power
No full textThis paper presents an approach for the selection of mother wavelet for classification of EEG epilepsy signals. Wavelet transform is very popular for analyzing signals in time and frequency domain. But as there are various wavelet families exist and not a one fits to all, in this study author have experimented with 51 wavelets from six different families Haar(haar), Daubechies(Db), Symlet(Sym), Coiflets(Coif), Biorthogonal(Bior) and Discrete Meyer(Dmey). Optimal mother wavelet is selected on the basis of highest correlation between input signal and reconstructed signal. With Discrete wavelet transform four levels of decomposition have been used to create the five EEG rhythms delta, theta, alpha, beta and gamma. Five features kurtosis, skew, mean, standard deviation and relative power have been extracted from each decomposed level by using the optimal mother wavelet. Statistical significance of the extracted features has been computed by Mann Whitney U test with significance level p<0.05 and statistical parameters sensitivity, specificity and accuracy for performance evaluation of the classifier have been computed. Results shown that out of six experimented wavelet families, five families with eight wavelets have qualified the correlation test. Out of five extracted feature relative power is more statistically significant for all type of classification and all EEG bands. Classifier used is support vector machine and accuracy of classifier lies in the range of 74% to 100 % for 14 classifications between different subsets
PHYSICO-CHEMICAL ANALYSIS OF GROUND WATER A REVIEW
No full textGround water is the main principal source for drinking water and other activities in Indapur taluka, Pune district, Maharashtra, India. Ground water is considered as pure form of water, with minute dissolved essentials and non essentials minerals in it. The only way pollution can contaminate ground water is through surface runoff, industrial effluent, runoff from agricultural site and also through river. Due to which the problem of ground water quality obtains high importance in the present day. The quality of ground water depends upon its physical and chemical properties. These properties are inter linked. Therefore interpretation of correlation coefficient between water quality parameters gives good idea about the quality of water. Various author conducted their studies on physical and chemical properties of ground water using co –relation and regression studies. This review attempts to highlight the main achievement in this area and Outline the advantages of co-relation and regression analysis in ground water quality
