863 research outputs found
A Comparative Study of Effects on Characteristic Properties of FRP Composites When Exposed to Distilled Water, Nacl-Water Solution and Sea Water Separately
A comparative study of effects on characteristic properties of FRP composites when exposed to Distilled water, NaCl- water solution and sea water separately was done.Composite of E- glass fiber reinforced in epoxy resin (araldite LY556) in 40:60 weight ratios was used. Samples were immersed for 2, 4, and 8 days in the three mediums separately at 60°C and 95% humidity in a humid chamber. ILSS values were calculated using INSTRON 1195. It was found that all solutions marginally degraded the mechanical property this was mainly the result of polymer hydrolysis. The diffusivity was found to be maximum in case of 3.2% NaCl solution and minimum in sea water. The immersion in sea water had least affect on mechanical properties. As evidenced by SEM micrographs, the worst case of damage involved large amount of debonding and fiber pullout in case of 3.2% NaCl solution, while sea water least affecting the matrix
Bayesian modeling with spatial curvature processes
Spatial process models are widely used for modeling point-referenced
variables arising from diverse scientific domains. Analyzing the resulting
random surface provides deeper insights into the nature of latent dependence
within the studied response. We develop Bayesian modeling and inference for
rapid changes on the response surface to assess directional curvature along a
given trajectory. Such trajectories or curves of rapid change, often referred
to as \emph{wombling} boundaries, occur in geographic space in the form of
rivers in a flood plain, roads, mountains or plateaus or other topographic
features leading to high gradients on the response surface. We demonstrate
fully model based Bayesian inference on directional curvature processes to
analyze differential behavior in responses along wombling boundaries. We
illustrate our methodology with a number of simulated experiments followed by
multiple applications featuring the Boston Housing data; Meuse river data; and
temperature data from the Northeastern United States
Can Musical Emotion Be Quantified With Neural Jitter Or Shimmer? A Novel EEG Based Study With Hindustani Classical Music
The term jitter and shimmer has long been used in the domain of speech and
acoustic signal analysis as a parameter for speaker identification and other
prosodic features. In this study, we look forward to use the same parameters in
neural domain to identify and categorize emotional cues in different musical
clips. For this, we chose two ragas of Hindustani music which are
conventionally known to portray contrast emotions and EEG study was conducted
on 5 participants who were made to listen to 3 min clip of these two ragas with
sufficient resting period in between. The neural jitter and shimmer components
were evaluated for each experimental condition. The results reveal interesting
information regarding domain specific arousal of human brain in response to
musical stimuli and also regarding trait characteristics of an individual. This
novel study can have far reaching conclusions when it comes to modeling of
emotional appraisal. The results and implications are discussed in detail.Comment: 6 pages, 12 figures, Presented in 4th International Conference on
Signal Processing and Integrated Networks (SPIN) 201
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