Sodium alginate and its blends with starch: Thermal and morphological properties

Siddaramaiah,Swamy, T. M. Mruthyunjaya,Ramaraj, B.,Lee, Joong Hee Wiley Subscription Services, Inc., A Wiley Company 2008 Journal of applied polymer science Vol.109 No.6

<P>A series of sodium alginate (SA) and starch blends, namely 100/0, 90/10, 80/20, 70/30, and 60/40, were processed into films by solution casting process and the obtained SA/starch blends have been characterized by differential scanning calorimetry (DSC), thermogravimetric analysis (TGA), fourier transform infrared (FTIR) spectroscopy, and scanning electron microscopy (SEM). DSC analysis shows single glass transition temperature (T<SUB>g</SUB>) up to 30 wt % starch content in the blend, indicating the compatibility and interaction between SA and starch molecules. The TGA reveals the reduction in thermal stability of SA/starch with increase in starch content. FTIR analysis demonstrated the existence of specific intermolecular interactions between carbonyl groups of SA and hydroxyl groups of starch. The morphological analysis by SEM shows the homogeneous distribution of starch in the SA matrix. © 2008 Wiley Periodicals, Inc. J Appl Polym Sci, 2008</P>

Structure-Property Relationship of Castor Oil Based Chain Extended Polyurethane/Starch Biocomposites

Siddaramaiah,,Gowda, Manjula Koregala Sidde,Lee, Joong Hee Trans Tech Publications, Ltd. 2010 Advanced materials research Vol.123 No.-

<P>Polyurethane (PU)/starch biocomposites have been prepared with different weight fractions of starch (viz., from 0 to 40 wt %). The fabricated PU/starch composites were characterized by mechanical properties and thermal (DSC and TGA) behaviors. Microcrystalline parameters were calculated using X-ray profile. Water uptake and its effect on mechanical properties have been evaluated.</P>

Poly(acrylamide/laponite) nanocomposite hydrogels: Swelling and cationic dye adsorption properties

Li, Peng,Siddaramaiah,Kim, Nam Hoon,Yoo, Gye-Hyoung,Lee, Joong-Hee Wiley Subscription Services, Inc., A Wiley Company 2009 Journal of applied polymer science Vol.111 No.4

<P>Super adsorbent polyacrylamide (PAAm)/nanoclay (laponite, Lap) hydrogels were prepared by in situ free radical polymerization of AAm in an aqueous solution with clay as a crosslinker. The swelling properties and water-soluble cationic dye adsorption behaviors of the PAAm/laponite (PAAm/Lap) nanocomposite (NC) hydrogels were investigated. The parameters of swelling and diffusion of water in dye solutions were evaluated for the PAAm/Lap NC hydrogels. The adsorption behavior of the monovalent cationic dyes such as Basic Blue 12 (BB 12), Basic Blue 9 (BB 9), and Basic Violet 1 (BV 1), were studied on the NC hydrogels. The effects of the clay content of the hydrogel on its cationic dye uptake behavior were studied. The adsorption studies indicated that the rates of dye uptake by the NC hydrogels increased in the following order: BB 9 > BB 12 > BV 1. This order is similar to the swelling results of the PAAm/Lap NC hydrogel in the dye solutions. The equilibrium uptakes of the different dyes by the PAAm/Lap NC hydrogel were nearly the same. In the dye absorption studies, S-type adsorption in the Giles classification system was found for the BB 12 and BV 1 dyes, whereas L-type was observed for the BB 9 dye. After the heat treatment of PAAm/Lap, the rate of dye uptake and equilibrium dye uptake were increased. The NC hydrogels may be considered as a good candidate for environmental applications to retain more water and to remove dyes. © 2008 Wiley Periodicals, Inc. J Appl Polym Sci, 2009</P>

INVESTIGATIONS ON THREE-BODY ABRASIVE WEAR BEHAVIOUR OF SILICON CARBIDE AND GRAPHITE FILLED GLASS-VINYL ESTER COMPOSITES

B Suresha,G Chandramohan,Siddaramaiah,Joong-Hee Lee 대한기계학회 2007 대한기계학회 춘추학술대회 Vol.2007 No.5

The effect of silicon carbide (SiC) and graphite fillers incorporation on the abrasive wear behaviour of glass-vinyl ester (G-V) composites have been investigated. The three-body abrasive wear behaviour was assessed by rubber wheel abrasion tests (RWAT). The worn surfaces were examined using scanning electron microscopy (SEM). The addition of SiC and graphite fillers in G-V composite improves the abrasion resistance under different loads/abrading distances. The SEM studies indicate the reasons for failure of composites and influencing parameters.

Synergy effect of hybrid fillers on the positive temperature coefficient behavior of polypropylene/ultra-high molecular weight polyethylene composites

Li, Qi,Basavarajaiah, Siddaramaiah,Kim, Nam Hoon,Heo, Seok-Bong,Lee, Joong Hee Wiley Subscription Services, Inc., A Wiley Company 2010 Journal of applied polymer science Vol.116 No.1

<P>Hybrid nanocomposites of polypropylene/ultra-high molecular weight polyethylene (PP/UHMWPE, 70/30) with various amounts of carbon black (CB) and carboxylated multiwalled carbon nanotubes (c-MWNTs) were prepared by the solution mixing and melt blending techniques. The effects of the mixture of CB and c-MWNTs on the positive-temperature-coefficient (PTC) behavior and the negative-temperature-coefficient (NTC) behavior, as well as the room temperature resistivity, were studied. The transmission electron microscopy (TEM) images showed that the CB particles were aggregated at the interface, between PP and UHMWPE. This selective localization of the CB particles at the interface along with the formation of continuous conducting media leads to the formation of additional conducting networks, resulting in a percolation threshold at a low CB content. A synergy effect of the hybrid conducting fillers of CB and c-MWNTs on the PTC behavior of the hybrid blends was also observed. The room temperature resistivity was reduced significantly by the incorporation of the c-MWNTs into the PP/UHMWPE/CB composite. The intensity and repeatability of the PTC effect in the nanocomposites were improved and the NTC effect weakened by incorporating a small amount (0.5 wt %) of c-MWNTs. © 2009 Wiley Periodicals, Inc. J Appl Polym Sci, 2010</P>

Bias Correction and Trend Analysis of Temperature Data by a High-Resolution CMIP6 Model over a Tropical River Basin

Dinu Maria Jose,Gowdagere Siddaramaiah Dwarakish 한국기상학회 2022 Asia-Pacific Journal of Atmospheric Sciences Vol.58 No.1

Technological advancements like increase in computational power have led to high-resolution simulations of climate variables by Global Climate Models (GCMs). However, significant biases exist in GCM outputs when considered at a regional scale. Hence, bias correction has to be done before using GCM outputs for impact studies at a local/regional scale. Six bias correction methods, namely, delta change (DC) method, linear scaling (LS), empirical quantile mapping (EQM), adjusted quantile mapping (AQM), Gamma-Pareto quantile mapping (GPQM) and quantile delta mapping (QDM) were used to bias correct the high-resolution daily maximum and minimum temperature simulations by Meteorological Research Institute-Atmospheric General Circulation Model Version 3.2 (MRI-AGCM3–2-S) model which is part of Coupled Model Intercomparison Project Phase 6 (CMIP6), of Netravati basin, a tropical river basin on the south-west coast of India. The quantile-quantile (Q–Q) plots and Taylor diagrams along with performance indicators like Nash–Sutcliffe efficiency (NSE), the Root-Mean Square Error (RMSE) or Root-Mean Square Deviation (RMSD), the Mean Absolute Error (MAE), the Percentage BIAS (PBIAS) and the correlation coefficient (r) were used for the evaluation of the performance of each bias correction method in the validation period. Considerable reduction in the bias was observed for all the bias correction methods employed except for the LS method. The results ofQDMmethod, which is a trend preserving bias correction method, was used for analysing the trend of future temperature data. The trend of historical and future temperature data revealed an increasing trend in the annual temperature. An increase of 0.051 °C and 0.046 °C is expected for maximum and minimum temperature annually during the period 2015 to 2050 as per RCP 8.5 scenario. This study demonstrates that the application of a suitable bias correction is needed before using GCM projections for climate change studies.

MECHANICAL AND ELECTRICAL PROPERTIES OF STYRENE- BUTADIENE-STYRENE/ ALUMINIUM COMPOSITES

N.M.Renukappa,Siddaramaiah,R.D.Sudhaker Samuel,T.Jeevananda,Nam Hoon Kim,Joong- Hee Lee 대한기계학회 2007 대한기계학회 춘추학술대회 Vol.2007 No.5

A series of styrene-butadiene-styrene/aluminium (SBR/Al) composites have been compounded with different weight ratios of Al. The prepared SBR-Al systems have been characterized for different mechanical properties such as tensile strength, tensile modulus and surface hardness have improved with the increase in content of Al in SBR matrix. This may is because of the increase in polymer-filler interaction. The electrical properties such as volume conductivity, surface resistivity, dielectric constant, dissipation factor (tan delta), and break down voltage of SBR/Al composites have been measured with reference to volume fraction (V<SUB>f</SUB>), frequency and temperature. The resistance of the SBR-Al composites is found to be ohmic. The voltage-current (V-I) characteristics for SBR-Al also exhibit a linear relationship indicating the ohmic behavior.

Hierarchical Graph based Segmentation and Consensus based Human Tracking Technique

Sunitha Madasi Ramachandra,Haradagere Siddaramaiah Jayanna,Ramegowda 한국정보처리학회 2019 Journal of information processing systems Vol.15 No.1

Accurate detection, tracking and analysis of human movement using robots and other visual surveillancesystems is still a challenge. Efforts are on to make the system robust against constraints such as variation inshape, size, pose and occlusion. Traditional methods of detection used the sliding window approach whichinvolved scanning of various sizes of windows across an image. This paper concentrates on employing a stateof-the-art, hierarchical graph based method for segmentation. It has two stages: part level segmentation forcolor-consistent segments and object level segmentation for category-consistent regions. The tracking phase isachieved by employing SIFT keypoint descriptor based technique in a combined matching and tracking schemewith validation phase. Localization of human region in each frame is performed by keypoints by casting votesfor the center of the human detected region. As it is difficult to avoid incorrect keypoints, a consensus-basedframework is used to detect voting behavior. The designed methodology is tested on the video sequences having3 to 4 persons.

Studies on Miscibility of Sodium Alginate/Hydroxypropyl Methylcellulose Blends

T.M.Mruthyunjaya Swamy,Siddaramaiah 한국고분자학회 2006 한국고분자학회 학술대회 연구논문 초록집 Vol.2006 No.10

Speaker Verification with the Constraint of Limited Data

Kumari, Thyamagondlu Renukamurthy Jayanthi,Jayanna, Haradagere Siddaramaiah Korea Information Processing Society 2018 Journal of information processing systems Vol.14 No.4

Speaker verification system performance depends on the utterance of each speaker. To verify the speaker, important information has to be captured from the utterance. Nowadays under the constraints of limited data, speaker verification has become a challenging task. The testing and training data are in terms of few seconds in limited data. The feature vectors extracted from single frame size and rate (SFSR) analysis is not sufficient for training and testing speakers in speaker verification. This leads to poor speaker modeling during training and may not provide good decision during testing. The problem is to be resolved by increasing feature vectors of training and testing data to the same duration. For that we are using multiple frame size (MFS), multiple frame rate (MFR), and multiple frame size and rate (MFSR) analysis techniques for speaker verification under limited data condition. These analysis techniques relatively extract more feature vector during training and testing and develop improved modeling and testing for limited data. To demonstrate this we have used mel-frequency cepstral coefficients (MFCC) and linear prediction cepstral coefficients (LPCC) as feature. Gaussian mixture model (GMM) and GMM-universal background model (GMM-UBM) are used for modeling the speaker. The database used is NIST-2003. The experimental results indicate that, improved performance of MFS, MFR, and MFSR analysis radically better compared with SFSR analysis. The experimental results show that LPCC based MFSR analysis perform better compared to other analysis techniques and feature extraction techniques.