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IN-SITU BIOREMEDIATION MODELING OF ORGANIC CONTAMINANT

Published In: INTERNATIONAL CONFERENCE ON ADVANCES IN BIO-INFORMATICS AND ENVIRONMENTAL ENGINEERING
Author(s): SHASHI MATHUR , SUDHEER CH

Abstract: The contamination of groundwater has been a major challenge faced by environmentalists in the recent past. Organic contaminants can enter the groundwater environment from a variety of sources that include toxic waste disposal sites, accidental chemical spills and improperly designed or maintained chemical transportation and storage facilities. Groundwater contamination by the organic chemicals is of immense concern because of their widespread use and harmful effect even when present at very low concentrations. Though organic compounds are usually less soluble in groundwater than many inorganic contaminants of interest, they often dissolve to concentration values that far exceed levels considered acceptable for human consumption. Remediation efforts are normally resorted to at contaminated sites to contain the contaminant plume, to eliminate and finally to extract the contaminants during the restoration work. A Finite difference model is also developed to simulate the process of in-situ

  • Publication Date: 08-Jun-2014
  • DOI: 10.15224/978-1-63248-019-4-09
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CLASSIFICATION DNA SEQUENCES OF BACTERIAS USING MULTI LIBRARY WAVELET NETWORKS

Published In: INTERNATIONAL CONFERENCE ON ADVANCES IN BIO-INFORMATICS AND ENVIRONMENTAL ENGINEERING
Author(s): ABDESSELEM DAKHLI , CHOKRI BEN AMAR , WAJDI BELLIL

Abstract: Genomic sequences allow to classify organisms into different categories and classes which have significant biological knowledge and can justify the evolution and identification of unknown organisms. Also they study mutual relations between organisms. The purpose of this classification is to study living organisms. Our system consists in three phases. The first phase is called transformation wich is composed of three steps; binary codification of DNA sequence, Fourier Transform and Power Spectrum Signal Processing. The second phase is called approximation. This phase is empowered by the use of Multi Library Wavelet Neural Networks (MLWNN).The third phase is called classification wich is realized by applying the algorithm of hierarchical classification. The results of this contribution are more interesting in comparison with some others works, in terms of rate classification using bacteria database.

  • Publication Date: 08-Jun-2014
  • DOI: 10.15224/978-1-63248-019-4-12
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