Techno India University
Techno India University
Mukherjee P.,Techno India University |
Roychowdhury R.,Techno India University |
Roy M.,Techno India University
Clean Technologies and Environmental Policy | Year: 2017
Kans grass (Saccharum spontaneum) is a weed species that is frequently found in many heavy metal-enriched waste dumps including fly ash pond sites. In this study, among a collection of phosphate-solubilizing bacterial strains isolated from the rhizosphere of Saccharum spontaneum present in the abandoned ash pond site of Mejia Thermal Power Station (MTPS-DVC), three strains were characterized for their plant growth-promoting abilities. The isolates identified as Bacillus anthracis strain MHR2, Staphylococcus sp. strain MHR3 and Bacillus sp. strain MHR4 had phosphate solubilization indices of 2.86, 2.31 and 2.40 and they produced soluble phosphates of 700, 600 and 640 mg l−1, respectively, in 4 days. In all the PSBs, pH significantly decreased, indicating the production of various organic acids. They showed other plant growth-promoting features like production of ammonia, siderophore, hydrocyanide and IAA. All of them were resistant to multiple heavy metals and antibiotics. Dry and fresh weight and shoot and root lengths of Brassica juncea L. increased in the presence of these isolates in pot cultures. The strains also increased phytoextraction ability of plants by enhancing the metal accumulation in plant tissues. Thus, the isolated indigenous and stress-adapted rhizobacteria may serve as potential biotechnological tool for the successful ecorestoration of various metal-contaminated sites. © 2017 Springer-Verlag Berlin Heidelberg
Roy K.,Techno India University |
Kumar Bairagi A.,Civil Engineering
Asian Journal of Civil Engineering | Year: 2016
This paper presents the study on wind pressure, velocity and force coefficient analysis done in ANSYS software using CFD simulation (k-ε model) for stepped unsymmetrical plan shape tall building for a wind incidence angle ranging from 0° to 360° with an interval of 45° in the ratio of 1:300. The study aims at establishing the similarity between the codes like IS 875-(PART 3)(1987), AS/NZS: 1170.2 (2011), ASCE: 7-02 (2002), and the experimental rectangular model. The flow patterns around the building are considered for different heights and for different wind angles which help to understand the difference in pressure variation for designing purpose of the building.
Roy D.,Techno India University
Foundations and Frontiers in Computer, Communication and Electrical Engineering - Proceedings of the 3rd International Conference on Foundations and Frontiers in Computer, Communication and Electrical Engineering, C2E2 - 2016 | Year: 2016
The difference in Single objective and multi-objective optimizations is primarily in the car-dinality in the optimal set; from a practical standpoint a user needs only one solution, no matter whether the associated optimization problem is single-objective or multi-objective. A multi-objective optimization problem can be converted into a single-objective optimization problem by the method of scalarizing an objective vector into a single composite objective function. This procedure of handling multi-objective optimization problems called Predilection Based MOO and is much simpler, yet still being more subjective than the any other procedure. In the evolutionary approaches the most popular methods are by evolutionary or genetic algorithms. This paper has proposed a new method for deriving Pareto Optimal Front by use of Neural Network. The algorithm has been presented here. A numerical experiment has also been performed to validate the algorithm. © 2016 Taylor & Francis Group, London.
Sumana D.,Maulana Abul Kalam Azad University of Technology |
Sudarshan M.,Inter University Consortium |
Thakur A.R.,Techno India University |
RayChaudhuri S.,Maulana Abul Kalam Azad University of Technology
American Journal of Biochemistry and Biotechnology | Year: 2013
Protease secreting microbe was isolated and characterized on the basis of their morphological, biochemical, physiological and 16S rDNA based molecular properties. The extracellular protease was quantified and characterized. Protease was used for different time (4, 8, 12 and 24 h) at different temperature (RT and 37°C) for optimization of the degumming process for raw silk fabric with enzyme dosage (0.2-1 unit/cm2 of fabric). Post-enzymatic treatment, the fabric quality and texture was compared with conventionally treated as well as untreated fabric in terms of degumming loss, tensile strength and yarn count and colour fastness to light/water. The isolate SM1 (Bacillus thuringensis) was able to grow in Carbon Minimal Salt Medium (CMSM) with jaggery or tamarind as the carbon source (0.3% w/v). Energy Dispersive X-Ray Fluorescense (EDXRF) data showed intracellular accumulation of heavy metal by the isolate. Extracellular protease was able to degum silk fabric within 4 h at RT with enzyme concentration of 0.8unit/cm2 and the maximum degumming loss was 21.72%. Post enzymatic degumming, a shiny texture was observed under Environmental Scanning Electron Microscope (ESEM) and the yarn volume also increased. Utilization of CMSM made the process cost effective during large scale application. Intracellular metal accumulation and growth in a wide range of temperature and pH made the isolate a potential candidate for bioremediation. Extracellular protease with significant degumming property could be used as an eco friendly approach as compared to the conventional chemical treatment. © 2013 Science Publication.
Roy D.,Techno India University |
Das S.S.,Techno India University |
Ghosh S.,University of the Humanities
Advances in Intelligent Systems and Computing | Year: 2016
This paper compares the performances of genetic algorithm with various classical algorithms in solving fractional programming. Genetic algorithm is one of the new forms of algorithms for solving optimization problems, which may not be efficient but a generic way to solve nonlinear optimization problems. The traditional optimization algorithms have difficulty in computing the derivatives and second order partial derivatives, i. e., Hessian for the fractional function. The issues of discontinuity seriously affects traditional algorithm. There are large numbers of classical methods for searching the optimum point of nonlinear functions. The classical search algorithms may be largely classified as gradient based methods and nongradient methods. Here, a comparative performance analysis of different algorithms is made through a newly defined function called algorithmic index. An algorithm based on heuristics for computation of gewicht vector required to derive algorithmic index has also been proposed here. © Springer India 2016.
Das P.,Techno India University |
Dasgupta T.,Jadavpur University |
Bhattacharya S.,Jadavpur University
2016 2nd International Conference on Control, Instrumentation, Energy and Communication, CIEC 2016 | Year: 2016
This paper proposes a novel scheme for recognising Bengali handwritten numerals using mathematical morphology. The numerals are broadly classified into two groups based on the presence and position of blobs and stems in them. Since different writing styles are used by different persons, morphological operations with the same structuring elements (SEs) do not yield satisfactory result. Thus, this paper proposes a scheme for automatic generation of SEs based on common handwriting styles. Also the SEs are scaled automatically according to the size of the handwritten digits in order to make the algorithm more robust and efficient. Since, this method does not require any kind of 'learning' to work, it is considerably faster than other machine learning based algorithms. Also, it does not require training samples. The present algorithm is tested on a large database of Bengali handwritten digits and its performance and accuracy are also determined. © 2016 IEEE.
Jha S.,Swami Vivekananda State Police Academy |
Sehgal V.K.,Indian Agricultural Research Institute |
Raghava R.,Indian Institute of Technology Delhi |
Sinha M.,Techno India University
Dynamics of Atmospheres and Oceans | Year: 2016
Regional trend of summer monsoon precipitation has been analyzed for broad physical regions of India namely, (i) Indo-Gangetic plain, (ii) Central and East India, (iii) Coastal and Peninsular India and (iv) Western India. A significantly drying trend has been found in the two regions namely, Indo-Gangetic plain and Central and East India with comparative seasonal rate of drying higher in the latter region. A complex relation between the regional trend of summer monsoon precipitation, global teleconnection parameters and rice production of the regions have been studied. El Niño-Southern Oscillation (ENSO) and Indian Ocean dipole (IOD) have a significant role in the precipitation anomaly of Indo-Gangetic plain unlike Central and East India where the ENSO only plays role as global teleconnection parameter. Rice production of Central and East India has been found to be affected adversely during the El Nino years. Central and East India is found to be the worst affected region compared to the Indo-Gangetic plain with respect to its fragile rainfed rice production potential and strong adverse teleconnection of El Nino on the rice production in this zone. © 2016 Elsevier B.V.
Ghosh R.,Jogesh Chandra Chaudhury College |
Mitra A.,Techno India University
Indian Journal of Geo-Marine Sciences | Year: 2015
The biochemical composition of salt marsh grass, Porteresia coarctata was investigated in this present study along with subsequent analysis of relevant physico-chemical variables. In this study, the relationship between the nutritive components of the species and the ambient environmental parameters was established. P. coarctata collected from regions of high salinity showed significant decrease in protein content. © 2015, National Institute of Science Communication and Information Resources (NISCAIR). All rights reserved.
Roy M.,Techno India University |
Giri A.K.,Indian Institute of Science |
Dutta S.,Techno India University |
Mukherjee P.,Techno India University
Environment International | Year: 2015
Arsenic (As), cited as the most hazardous substance by the U.S. Agency for Toxic Substance and Disease Registry (. ATSDR, 2005), is an ubiquitous metalloid which when ingested for prolonged periods cause extensive health effects leading to ultimate untimely death. Plants and microbes can help mitigate soil and groundwater As problem since they have evolved elaborate detoxification machineries against this toxic metalloid as a result of their coexistence with this since the origin of life on earth. Utilization of the phytoremediation and bioremediation potential of the plants and microbes, respectively, is now regarded as two innovative tools that encompass biology, geology, biotechnology and allied sciences with cutting edge applications for sustainable mitigation of As epidemic. Discovery of As hyperaccumulating plants that uptake and concentrate large amounts of this toxic metalloid in their shoots or roots offered new hope to As phytoremediation, solar power based nature's own green remediation. This review focuses on how phytoremediation and bioremediation can be merged together to form an integrated phytobial remediation which could synergistically achieve the goal of large scale removal of As from soil, sediment and groundwater and overcome the drawbacks of the either processes alone. The review also points to the feasibility of the introduction of transgenic plants and microbes that bring new hope for more efficient treatment of As. The review identifies one critical research gap on the importance of remediation of As contaminated groundwater not only for drinking purpose but also for irrigation purpose and stresses that more research should be conducted on the use of constructed wetland, one of the most suitable areas of application of phytobial remediation. Finally the review has narrowed down on different phytoinvestigation and phytodisposal methods, which constitute the most essential and the most difficult part of pilot scale and field scale applications of phytoremediation programs. © 2014 Elsevier Ltd.
Roychowdhury R.,Techno India University |
Mukherjee P.,Techno India University |
Roy M.,Techno India University
Bulletin of Environmental Contamination and Toxicology | Year: 2016
Eight chromium resistant bacteria were isolated from a dry fly ash sample of DVC-MTPS thermal power plant located in Bankura, West Bengal, India. These isolates displayed different degrees of chromate reduction under aerobic conditions. According to 16S rDNA gene analysis, five of them were Staphylococcus, two were Bacillus and one was Micrococcus. The minimum inhibitory concentration towards chromium and the ability to reduce hexavalent chromium to trivalent chromium was highest in Staphylococcus haemolyticus strain HMR17. All the strains were resistant to multiple heavy metals (As, Cu, Cd, Co, Zn, Mn, Pb and Fe) and reduced toxic hexavalent chromium to relatively non toxic trivalent chromium even in the presence of these multiple heavy metals. All of them showed resistance to different antibiotics. In a soil microcosm study, S. haemolyticus strain HMR17 completely reduced 4 mM hexavalent chromium within 7 days of incubation. © 2015 Springer Science+Business Media.