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An efficient robust cost optimization procedure for rice husk ash concrete mix
Kalyan K. Moulick,Soumya Bhattacharjya,Saibal K. Ghosh,Amit Shiuly 사단법인 한국계산역학회 2019 Computers and Concrete, An International Journal Vol.23 No.6
As rice husk ash (RHA) is not produced in controlled manufacturing process like cement, its properties vary significantly even within the same lot. In fact, properties of Rice Husk Ash Based Concrete (RHABC) are largely dictated by uncertainty leading to huge deviations from their expected values. This paper proposes a Robust Cost Optimization (RCO) procedure for RHABC, which minimizes such unwanted deviation due to uncertainty and provides guarantee of achieving desired strength and workability with least possible cost. The RCO simultaneously minimizes cost of RHABC production and its deviation considering feasibility of attaining desired strength and workability in presence of uncertainty. RHA related properties have been modeled as uncertain-but-bounded type as associated probability density function is not available. Metamodeling technique is adopted in this work for generating explicit expressions of constraint functions required for formulation of RCO. In doing so, the Moving Least Squares Method is explored in place of conventional Least Square Method (LSM) to ensure accuracy of the RCO. The efficiency by the proposed MLSM based RCO is validated by experimental studies. The error by the LSM and accuracy by the MLSM predictions are clearly envisaged from the test results. The experimental results show good agreement with the proposedMLSMbased RCO predicted mix properties. The present RCO procedure yields RHABC mixes which is almost insensitive to uncertainty (i.e., robust solution) with nominal deviation from experimental mean values. At the same time, desired reliability of satisfying the constraints is achieved with marginal increment in cost.
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Ranjita Ghosh Moulick,Sumistha Das,Nitai Debnath,Kaustav Bandyopadhyay 한국식물생명공학회 2020 Plant biotechnology reports Vol.14 No.5
Ever since mankind embraced technology, the largest number of inventions have been aimed at agricultural improvement, more than any other sectors where technology is used. Nonetheless, today we are struggling to meet the ever increasing hunger of a growing world population. We have almost exhausted the supply of traditional technological ammunitions in the arsenal of agricultural science. The only way forward is to embrace smart agricultural practice in a sustainable manner. Use of modern electronics and material science to increase production, without further increasing fertilizer or pesticide input, can be referred to as smart and sustainable agriculture. Scientists have made giant leaps in the feld of ‘biology at nanoscale’ during the frst decade of the present century. Nanoparticles and nanosensors have huge potential in agricultural advancements, if used wisely with proper caution. Nanoparticles can be used for getting higher yield and for crop protection. Nanoparticles can also aid in the rate limiting process of gene delivery during genetic improvement of crop species. Nanobiosensors can contribute to smart farming by growth monitoring, real time detection of pests, and continuous monitoring of local environment. In this review, we will update the readers with some of the advancements made in these directions during the last decade.
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Studies of Dust Acoustic Double Layers in the presence of Trapped Particles
M. K. Mahanta,R. Moulick,K. S. Goswami 한국물리학회 2014 THE JOURNAL OF THE KOREAN PHYSICAL SOCIETY Vol.64 No.2
An analytical solution for time stationary weak double layers in an unmagnetized dusty plasma byusing Sagdeev’s pseudopotential method is studied considering dusts with constant charge and mass. Here, the plasma consists of electrons, ions and negatively-charged micron-sized dust particles. From the study, expressions for the potential and the dust acoustic velocity of the double layer isdetermined.
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Unrevealing metabolomics for abiotic stress adaptation and tolerance in plants
Shuvasish Choudhury,Parul Sharma,Debojyoti Moulick,Mazumder Muhammed Khairujjaman 한국작물학회 2021 Journal of crop science and biotechnology Vol.24 No.5
The post-genomic era has witnessed several new possibilities to understand diverse functional aspects of plants quite precisely. From genomics to metabolomics and now phenomics, the complex interplay of these biological networks has been successfully elucidated. Abiotic stresses, such as drought, fooding, exposure to heavy metals and metalloids, and high or low temperature are foremost constraints in agriculture, and remains as the major reason for poor crop productivity and low yield globally. The primary aim of metabolomics is to identify fnal gene products, the metabolites, which serve as prospective markers (or traits) to comprehend abiotic stress adaptation and tolerance in plants. This review provides an overview on the application of metabolomics as a comprehensive tool for “Systems Biology Approach” to unravel the complex interaction of networks and components in plants towards abiotic stress adaptation and tolerance.
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