CHLORPYRIFOS DEGRADATION USING BACTERIAL CONSORTIUM OBTAINED FROM SOIL
Published In: 2ND INTERNATIONAL CONFERENCE ON ADVANCES IN APPLIED SCIENCE AND ENVIRONMENTAL ENGINEERING
Author(s): ELIZABETH MARY JOHN , JISHA M.S , SHARREL REBELLO
Abstract: Widespread and indiscriminate use of Chlorpyrifos (CP) - an organophosphate pesticide, leads to severe environmental problems. It poses a great threat to different trophic levels of the ecosystem from soil microorganisms to human beings. As the risk of their off-site migration pose health risk to non-target organisms, it is essential to remove this pesticide from their point source of contamination. The current research paper attempts to develop a bacterial consortium capable of remediating CP effectively. The degradatory efficiency of thirteen morphologically different soil bacterial isolates obtained by selective enrichment on mineral medium containing CP (25ppm) or Trichloro2- pyridinol (TCP- antimicrobial byproduct of CP degradation) (25 ppm) as sole source of carbon and nitrogen was investigated for five days. The isolates were equally capable of degrading TCP compared to CP. Using these isolates different bacterial consortia were developed and the consortium C2 (S5, S6, S12) was
- Publication Date: 21-Dec-2014
- DOI: 10.15224/978-1-63248-004-0-12
- Views: 0
- Downloads: 0
A NEW ALGORITHM FOR PREDICTION WIMAX TRAFFIC BASED ON ARTIFICIAL NEURAL NETWORK MODELS
Published In: INTERNATIONAL CONFERENCE ON ADVANCES IN APPLIED SCIENCE AND ENVIRONMENTAL ENGINEERING
Author(s): DAW ABDULSALAM ALI DAW , KAMARUZZAMAN BIN SEMAN , MADIHAH BINT MOHD SAUDI
Abstract: In this paper, WIMAX traffic forecasting system for predicting traffic time series based on the traffic data recorded (TRD) along with Artificial Neural Networks (ANN) was proposed. The data used in this work are the maximum online user, minimum online user, traffic of MIMO-A and traffic of MIMO-B. These data are available from LibyaMax network (WiMAX technology) motorized by Libya Telecom and Technology over a period of 90 days. The quality of forecasting WIMAX traffic obtained by focusing on the ANN design through comparing different configurations of and models that consist of investigating different topology and learning algorithms. The decision of changing the ANN architecture is essentially based on prediction results to obtain the best ANN model for flow traffic prediction model. Testing the different configurations using real traffic data recorded at base stations (A, B and AB) that belong to a Libyan WiMAX Network. Statistical measurement is used to evaluate the different ANNs
- Publication Date: 03-Aug-2014
- DOI: 10.15224/978-1-63248-004-0-13
- Views: 0
- Downloads: 0