Prediction of uplift capacity of suction caisson in clay using extreme learning machine

Muduli, Pradyut Kumar,Das, Sarat Kumar,Samui, Pijush,Sahoo, Rupashree Techno-Press 2015 Ocean systems engineering Vol.5 No.1

This study presents the development of predictive models for uplift capacity of suction caisson in clay using an artificial intelligence technique, extreme learning machine (ELM). Other artificial intelligence models like artificial neural network (ANN), support vector machine (SVM), relevance vector machine (RVM) models are also developed to compare the ELM model with above models and available numerical models in terms of different statistical criteria. A ranking system is presented to evaluate present models in identifying the 'best' model. Sensitivity analyses are made to identify important inputs contributing to the developed models.

Enhanced Conversion Efficiency in Dye-Sensitized Solar Cells Based on Hydrothermally Synthesized TiO₂−MWCNT Nanocomposites

Muduli, Subas,Lee, Wonjoo,Dhas, Vivek,Mujawar, Sarfraj,Dubey, Megha,Vijayamohanan, K.,Han, Sung-Hwan,Ogale, Satishchandra American Chemical Society 2009 ACS APPLIED MATERIALS & INTERFACES Vol.1 No.9

<P>A 50% enhancement in the conversion efficiency (4.9-7.37%) is realized in dye-sensitized solar cells using hydrothermally synthesized TiO(2)-multiwalled carbon nanotube (MWCNT) nanocomposites as compared to hydrothermally synthesized TiO(2) without MWCNT and Degussa P25. Several characterizations have been employed to reveal the nature of the modification imparted to the MWCNTs under hydrothermal processing conditions and the resulting TiO(2)-MWCNT conjugation through -COOH groups. Efficient charge transfer in the nanocomposite and efficient electron transport by MWCNT (significantly higher incident-photon-to-current conversion efficiency) are suggested to be the possible reasons for the enhancement.</P>

Genetic Divergence Analysis among Micromutant Lines in Finger Millet(Eleusine coracana G.)

Muduli, Kumuda Chandra,Misra, Rama Chandra The Korean Society of Crop Science 2008 Journal of crop science and biotechnology Vol.11 No.1

The induced genetic divergence was estimated in 44 mutant lines of finger millet variety GPU 26, developed by single and combination treatments with gamma rays, EMS and NG using three multivariate analyses. The mutant lines were grouped into eight genetically diverse clusters by multivariate D2 and canonical analyses and 11 clusters by dendrogram grouping through Gower's similarity coefficient. The clustering pattern in these three methods was almost similar. Twelve mutant lines in D2 and 13 in the dendrogram grouping method were grouped in the parental cluster(Cluster I) indicating that they did not possess enough divergence from the parent to be classified as micromutant lines. However a large proportion of mutant lines showed divergence from the parent variety and also among themselves. No definite relationship of mutagenic origin and clustering of mutant lines were observed. The mutant lines developed from the same mutagenic treatments often grouped into different clusters indicating that each mutagenic treatment was effective in inducing diverse types of changes in the nine traits studied. The hybridization program between the divergent mutant lines GE 2-2 or GE 3-4 with GG 3-1 is expected to give promising and desirable segregants in subsequent generations. Traits such as days to 50% flowering and days to maturity had major contributions to the induced genetic divergence.

Structural Optimization of Si Nanowires for Ultimate Efficiency Improvement via Tuning Optical Properties

Sakti Prasanna Muduli,Md Asif Khan,Paresh Kale 한국전기전자재료학회 2023 Transactions on Electrical and Electronic Material Vol.24 No.6

Si nanostructures are preferred for optoelectronic applications over bulk Si owing to their enhanced optical and electrical characteristics. Si nanowires (SiNWs) and porous SiNWs (PSiNWs) are the widely studied structures for photovoltaics. The optical and electrical characteristics depend on the structural attributes of the nanowires-length, diameter, and porosity of PSiNWs. Tailoring the structural attributes is possible with metal-assisted chemical etching (MACE), a cost-effective method for fabricating the SiNWs and PSiNWs. However, the process involves multiple parameters. The paper optimizes the MACE parameters such as wafer resistivity, HF concentration, MACE duration, temperature, and H2O2 concentration for the maximum length, minimum diameter, undistorted nanowires, and minimum tip agglomeration. Wafer resistivity optimization eliminates the expensive options with inferior nanowire diameters, whereas the other MACE parameters control the nanowire length and the diameter by limiting the vertical and horizontal etching. The work optimizes MACE parameters to investigate the influence on reflectance, band gap, and ultimate efficiency through changes in the structural attributes. The investigation establishes a correlation between the aspect ratio and the ultimate efficiency to optimize the MACE parameters.

Genetic Divergence Analysis among Micromutant Lines in Finger Millet (Eleusine coracana G.)

Kumuda Chandra Muduli,Rama Chandra Misra 한국작물학회 2008 Journal of crop science and biotechnology Vol.11 No.1

The induced genetic divergence was estimated in 44 mutant lines of finger millet variety GPU 26, developed by single and combination treatments with gamma rays, EMS and NG using three multivariate analyses. The mutant lines were grouped into eight genetically diverse clusters by multivariate D2 and canonical analyses and 11 clusters by dendrogram grouping through Gower's similarity coefficient. The clustering pattern in these three methods was almost similar. Twelve mutant lines in D2 and 13 in the dendrogram grouping method were grouped in the parental cluster (Cluster I) indicating that they did not possess enough divergence from the parent to be classified as micromutant lines. However a large proportion of mutant lines showed divergence from the parent variety and also among themselves. No definite relationship of mutagenic origin and clustering of mutant lines were observed. The mutant lines developed from the same mutagenic treatments often grouped into different clusters indicating that each mutagenic treatment was effective in inducing diverse types of changes in the nine traits studied. The hybridization program between the divergent mutant lines GE 2-2 or GE 3-4 with GG 3-1 is expected to give promising and desirable segregants in subsequent generations. Traits such as days to 50% flowering and days to maturity had major contributions to the induced genetic divergence. The induced genetic divergence was estimated in 44 mutant lines of finger millet variety GPU 26, developed by single and combination treatments with gamma rays, EMS and NG using three multivariate analyses. The mutant lines were grouped into eight genetically diverse clusters by multivariate D2 and canonical analyses and 11 clusters by dendrogram grouping through Gower's similarity coefficient. The clustering pattern in these three methods was almost similar. Twelve mutant lines in D2 and 13 in the dendrogram grouping method were grouped in the parental cluster (Cluster I) indicating that they did not possess enough divergence from the parent to be classified as micromutant lines. However a large proportion of mutant lines showed divergence from the parent variety and also among themselves. No definite relationship of mutagenic origin and clustering of mutant lines were observed. The mutant lines developed from the same mutagenic treatments often grouped into different clusters indicating that each mutagenic treatment was effective in inducing diverse types of changes in the nine traits studied. The hybridization program between the divergent mutant lines GE 2-2 or GE 3-4 with GG 3-1 is expected to give promising and desirable segregants in subsequent generations. Traits such as days to 50% flowering and days to maturity had major contributions to the induced genetic divergence.

Fabrication of Organic-Inorganic Superlattice Films Toward Potential Use For Gas Diffusion Barrier

윤관혁,Subas Kumar Muduli,성명모 한국진공학회 2012 한국진공학회 학술발표회초록집 Vol.2012 No.8

Application of multivariate analysis to determine spatial and temporal changes in water quality after new channel construction in the Chilika Lagoon

Kim, J.Y.,Bhatta, K.,Rastogi, G.,Muduli, P.R.,Do, Y.,Kim, D.K.,Pattnaik, A.K.,Joo, G.J. Elsevier Science 2016 Ecological engineering Vol.90 No.-

<P>Lagoon ecosystems have been severely degraded by anthropogenic activities, which result in ecological and hydrological changes in the system. Detailed understanding of the recovery processes of restored lagoon systems has been impeded by the underlying complexity of integral environmental components. The aim of this study was to understand relationships between water quality variables in a restored lagoon, and temporal and spatial changes at each recovery stage after lagoon restoration. Ten water quality parameters were monitored on a monthly basis at 30 sampling sites in the Chilika Lagoon from 1999 to 2009. Self-Organizing Map and principal component analyses showed that salinity was the dominant factor for the Chilika Lagoon and had maximal component loading in the principal component analysis. Mean salinity level increased after opening of a new mouth in the study site, however, a decreasing trend was observed 4 years after the restoration. The pH and pCO(2) exhibited pulse-type resilience after the restoration event. The average nitrate:phosphate ratio increased steadily during the monitoring period. Multivariate analysis of monitoring data of the restoration site provided a deep understanding of its temporal and spatial change. It would be worthwhile to extend multivariate analysis to diverse ecosystems, while considering biological components is recommended in order to evaluate the comprehensive response of the restored system. (C) 2016 Elsevier B.V. All rights reserved.</P>

Water Quality Assessment for Wells Located Near Municipal Waste Dumping Sites in Bhubaneswar City, India

Panda, S.P.,Mishra, C.S.K.,Muduli, R.,Behera, D.K.,Kim, Jung Wk 서울대학교 환경대학원 2004 環境論叢 Vol.42 No.-

Certain physicochemical and biological characteristics of well waters located near major solid waste disposal sites of Bhubaneswar city were studied in the dry and wet seasons of 2001 and 2002. Higher levels of NO₃^(-), PO₄^(--), Cl^(-), SO₄^(---), Fe, Ca, Mg, total hardness, and total and fecal coliform bacteria have been observed in the water samples in wet seasons relative to dry seasons. Most of the physicochemical and biological parameters exceeded the Indian drinking water standards prescribed by IS:10500:1991. The results indicated that in wet seasons, the well waters within 50 meters from municipal waste dumping sites were not suitable for drinking.

Water Quality Assessment for Wells Located Near Municipal Waste Dumping Sites in Bhubaneswar City, India

S.P. Panda,C.S.K. Mishra,R. Muduli,D.K. Behera,Jung Wk Kim 서울대학교 환경대학원 2004 環境論叢 Vol.42 No.-