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      • SCIESCOPUSKCI등재
      • SCIESCOPUSKCI등재

        Analysis of Neural Network Approaches for Nonlinear Modeling of Switched Reluctance Motor Drive

        Saravanan, P,Balaji, M,Balaji, Nagaraj K,Arumugam, R The Korean Institute of Electrical Engineers 2017 Journal of Electrical Engineering & Technology Vol.8 No.1

        This paper attempts to employ and investigate neural based approaches as interpolation tools for modeling of Switched Reluctance Motor (SRM) drive. Precise modeling of SRM is essential to analyse the performance of control strategies for variable speed drive application. In this work the suitability of Generalized Regression Neural Network (GRNN) and Extreme Learning Machine (ELM) in addition to conventional neural network are explored for improving the modeling accuracy of SRM. The neural structures are trained with the data obtained by modeling of SRM using Finite Element Analysis (FEA) and the trained neural network is incorporated in the model of SRM drive. The results signify the modeling accuracy with GRNN model. The closed loop drive simulation is performed in MATLAB/Simulink environment and the closeness of the results in comparison with the experimental prototype validates the modeling approach.

      • SCIESCOPUSKCI등재

        Generation Scheduling with Large-Scale Wind Farms using Grey Wolf Optimization

        Saravanan, R.,Subramanian, S.,Dharmalingam, V.,Ganesan, S. The Korean Institute of Electrical Engineers 2017 Journal of Electrical Engineering & Technology Vol.8 No.1

        Integration of wind generators with the conventional power plants will raise operational challenges to the electric power utilities due to the uncertainty of wind availability. Thus, the Generation Scheduling (GS) among the online generating units has become crucial. This process can be formulated mathematically as an optimization problem. The GS problem of wind integrated power system is inherently complex because the formulation involves non-linear operational characteristics of generating units, system and operational constraints. As the robust tool is viable to address the chosen problem, the modern bio-inspired algorithm namely, Grey Wolf Optimization (GWO) algorithm is chosen as the main optimization tool. The intended algorithm is implemented on the standard test systems and the attained numerical results are compared with the earlier reports. The comparison clearly indicates the intended tool is robust and a promising alternative for solving GS problems.

      • KCI등재

        Superhydrophobic and Self-Cleaning Natural Leaf Powder/Poly(methylhydroxysiloxane) Hybrid Micro-Nanocomposites

        Saravanan Nagappan,하창식 한국고분자학회 2014 Macromolecular Research Vol.22 No.8

        Superhydrophobic and self-cleaning hybrid micro-nanocomposite was prepared using a tree leaf (Ailanthusaltissima) powder and polysiloxane. The functional group and the chemical compositions in the hybrid micronanocompositeswere analyzed by Fourier transform infra-red spectroscopy, 29Si cross polarization magic anglespinning nuclear magnetic resonance spectroscopy, X-ray diffraction pattern and X-ray photoelectron spectroscopy. The composites showed micro-nano hierarchical surface morphology and excellent superhydrophobicity on anysubstrate, regardless of the coating processes (drop coating, spin coating and dip coating, followed by solventevaporation). The surface maintained the superhydrophobicity at high temperatures (400-500 ºC) and becamesuperhydrophilic at 600 ºC. The prepared hybrids have a mesoporous structure, and excellent non-stick and selfcleaningproperties.

      • KCI등재

        Thermally Stable Superhydrophobic Polymethylhydrosiloxane Nanohybrids with Liquid Marble-Like Structure

        Saravanan Nagappan,조남주,이원기,하창식 한국고분자학회 2017 Macromolecular Research Vol.25 No.5

        We prepared novel hybrid materials by in situ self-hydroxylation and condensation of polymethylsiloxane (PMHS) with multi-walled carbon nanotubes (MWCNTs). The hybrid material showed superhydrophobic and non-stick properties, mesoporous structure, and liquid marble-like non-stick water droplet behavior. Moreover, we found that the in situ addition of MWCNTs to the PMHS would increase the thermal stability of the hybrid material. Thermal stability of the hybrid is enhanced by increasing the percentage of MWCNTs to the PMHS. The superhydrophobic hybrid powder covered non-stick water droplet showed anti-icing behavior for long time. The hybrids also showed oils sorption behavior and easy reusable property. The obtained results suggest that the thermally stable superhydrophobic hybrid mesoporous materials with anti-icing, oils sorption properties can be easily synthesized and used for various applications.

      • Effectual binding of gallic acid with p-sulfonatocalix[4]arene: An experimental and theoretical interpretation

        Saravanan, Chokalingam,Chitumalla, Ramesh Kumar,Ashwin, Bosco Christin Maria Arputham,Senthilkumaran, Marimuthu,Suresh, Palaniswamy,Jang, Joonkyung,Muthu Mareeswaran, Paulpandian Elsevier 2018 Journal of luminescence Vol.196 No.-

        <P><B>Abstract</B></P> <P>The host-guest interaction of gallic acid (GA) with p-sulfonatocalix[4]arene (p-SC4) is studied using emission and excited state lifetime techniques. The quenching effect on the emission intensity and excited state lifetime is observed upon binding. The impact of oxidation potential upon binding is studied using cyclic voltammetric technique. The structural features and the mode of binding of GA with p-SC4 is examined using <SUP>1</SUP>H NMR and rotating frame overhauser effect spectroscopy (ROESY) techniques. The binding of GA with p-SC4 has also been examined by means of density functional theory simulations. The calculated interaction energy of GA with p-SC4 (22.15kcal/mol) indicates the strong binding nature.</P> <P><B>Highlights</B></P> <P> <UL> <LI> Formation of stable complex between GA and p-SC4 is studied in solution state. </LI> <LI> Quenching on emission intensity and lifetime of GA is observed upon addition of p-SC4. </LI> <LI> The downward potential shift is detected upon addition of GA on p-SC4 and vice versa. </LI> <LI> The <SUP>1</SUP>H NMR and ROESY spectral studies reveals that the GA is included into p-SC4. </LI> <LI> The theoretical simulations explains the intermolecular hydrogen bonding interactions between the GA and the p-SC4. </LI> </UL> </P> <P><B>Graphical abstract</B></P> <P>[DISPLAY OMISSION]</P>

      • SSCISCOPUSKCI등재

        Social Roles and Birthing Practices of Traditional Birth Attendants in India with reference to other Developing Countries

        Saravanan, Sheela,Johnson, Helen,Turrell, Gavin,Fraser, Jennifer Ewha Womans University Press 2009 Asian Journal of Women's Studies(AJWS) Vol.15 No.4

        Pregnancy and childbirth complications are a leading cause of death and disability among women of reproductive age in developing countries. The high maternal and infant mortality rates and low uptake of antenatal and postnatal care have been topics of deliberation for researchers in the fields of medicine, public health, anthropology and sociology. Worldwide data show that, by choice or out of necessity, 47 percent of births in the developing world are assisted by Traditional Birth Attendants (TBAs) and/or family members. Since the 1970s the training of TBAs has been one of the primary single interventions undertaken by funding agencies, who assume that maternal and perinatal mortality in developing countries is high because many women deliver babies at home, assisted by TBAs or relatives. However, since the 1990s, the TBA training strategy has been increasingly seen as irrelevant, ineffective or a failure, given the evidence that the maternal mortality rate (MMR) in developing countries did not reduce. Hence, many donor agencies providing funding for TBA training in developing countries have withdrawn funds, reallocating them to providing skilled attendants during delivery. Researchers have expressed concern that a shift in policy has taken place without adequate evidence about the relevance and effectiveness of the TBA training program. The objective of this paper is to review research evidence from India and other developing countries on the relevance of TBAs by assessing their contribution to providing maternal and infant health care service at different stages of pregnancy, during and after delivery; outcomes of training; and birthing practices adopted by them in home births. This review reveals that TBAs acquire knowledge of the birth process through experience, which they bring to their practice and which they use to explain events in their local context. Certain harmful TBA practices have changed and others have been introduced into the community through training. An appropriate understanding of useful and harmful local practices in communities is therefore important background information that trainers need to know before conducting training programs in a particular area. Certain redundant birthing practices such as discarding colostrum, bathing babies immediately after birth, using unhygienic material to cut and apply on the cord and delayed weighing of babies continue to be practiced not only in home births but also in health institutions in India. This review article highlights the importance of training to improve TBAs’ knowledge, together with community awareness programs. Potentially detrimental cultural beliefs need to be addressed too, when TBA training programs are initiated in order to improve maternal and child health outcomes.

      • KCI등재

        Analysis of Neural Network Approaches for Nonlinear Modeling of Switched Reluctance Motor Drive

        Saravanan P,Balaji M,Balaji Nagaraj K,Arumugam R 대한전기학회 2017 Journal of Electrical Engineering & Technology Vol.12 No.4

        This paper attempts to employ and investigate neural based approaches as interpolation tools for modeling of Switched Reluctance Motor (SRM) drive. Precise modeling of SRM is essential to analyse the performance of control strategies for variable speed drive application. In this work the suitability of Generalized Regression Neural Network (GRNN) and Extreme Learning Machine (ELM) in addition to conventional neural network are explored for improving the modeling accuracy of SRM. The neural structures are trained with the data obtained by modeling of SRM using Finite Element Analysis (FEA) and the trained neural network is incorporated in the model of SRM drive. The results signify the modeling accuracy with GRNN model. The closed loop drive simulation is performed in MATLAB/Simulink environment and the closeness of the results in comparison with the experimental prototype validates the modeling approach.

      • KCI등재후보

        Oral glucose tolerance test for preoperative assessment of liver function in liver resection

        Saravanan Manickam Neethirajan,Raghavendra Rao Rachapoodivenk 한국간담췌외과학회 2017 Annals of hepato-biliary-pancreatic surgery Vol.21 No.1

        Backgrounds/Aims: We intended to determine the role of the Oral glucose tolerance test (OGTT), in addition to volumetry, in preoperative assessment of patients undergoing liver resection. Methods: This was a prospective study conducted at a tertiary care hospital, between February 2009 and February 2011. OGTT curve (parabolic/linear), linearity index (LI) and Parenchymal Hepatic Resection Rate (PHRR) were correlated with postoperative outcomes in terms of postoperative liver failure (PLF), by 50-50 criteria, morbidity, mortality and hospital stay. Results: Of the 33 patients included in the study, 23 (69.7%) patients underwent major liver resections. Hepatocellular carcinoma (30.3%) was the leading indication. The overall postoperative morbidity rate was 72.7%, but major complications occurred in 3 (9.1%) patients only. There was no 90-day mortality. The 50-50 criteria were met by 3 patients undergoing major resection. Significant correlation was noted between the linear OGTT curve and the overall hospital stay (12.1 days vs. 9.6 days in parabolic; p=0.04). Patients with linear OGTT met the 50-50 criteria more often (18%) than those having a parabolic curve (4.5%; p=0.25). Although the OGTT was more often linear with occurrence of morbidity (41.7% vs 11.1%), major morbidity (66.7% vs 30%) and PLF by 50-50 criteria (66.7% vs 30%), it was not statistically significant. The linearity index was marginally lower (0.9 vs 1.2) in the presence of major morbidity and PLF by 50-50 criteria. Conclusions: Linear OGTT affects the PLF and major morbidity, therein impacting the hospital stay. OGTT LI and PHRR can help predict postoperative outcome for a given extent of liver resection.

      • KCI등재

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