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