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Artificial recharge of groundwater using treated wastewater continues to rise, especially in arid and semi-arid countries. Artificial recharge as a means to enhance the natural supply of groundwater aquifers is becoming increasingly important in groundwater management. The present pilot study aims to planning and designing of artificial recharge structures for an ideal housing complex using treated waste water generated within the complex. Basic operational water requirement is estimated to quantify the water to be recharged for a balanced and sustainable water recharge cycle. The study estimated the volume of generated waste water as well as rainfall runoff water from the ideal housing complex. The rate of natural ground water recharge, rainfall runoff and total treated effluent available for recharge is estimated as additional or alternative source of recharge. Detailed Hydro geological study has been carried out to explore subsurface profile by drilling the bore holes in different locations inside the study area. A confined aquifer was found at a level of 4m to 8m in decreasing levels. The soil stratum below the aquifer was found impervious. Hence boring of recharge shafts up to a depth of 4m to reach a confined aquifer layer will be the best suitable method for recharging the aquifer. The depth of aquifer is varying from 3m to 6m. Water fluctuation during monsoon and non-monsoon period was found to be around 5m. The estimated water demand is 1.6 MLD. Based on the Rational Formula, the runoff quantity is estimated as minimum of 13.48 MLD and maximum of 55.47 MLD. Thus the study identifies the significant quantity of runoff from the study area during the monsoon periods. The total estimated effluent available for recharge is estimated as 1.28 MLD. By considering the sources available, hydro geological conditions, the recharge pond and recharge shaft is designed. It encourages not only the maximum utilization of available natural resources but it helps in reducing the demand for freshwater and sustaining the vulnerable resources for future.

Keywords

Artificial Recharge, Chennai Metropolitan Area, Groundwater, Treated Waste Water, Hydrogeology, Recharge Shaft

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Massively Parallel Computational Schemes for Simulating Spiking Neural Networks using GPU Accelerators

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Authors

N. Sreenivasa ¹, S. Balaji ²

Affiliations
1 Department of Computer Science and Engineering, Jain University, Nitte Meenakshi Institute of Technology, P.O. Box 6429, Yelahanka, Bengaluru – 560064, Karnataka, IN
2 Centre for Incubation, Innovation, Research and Consultancy, Jyothy Institute of Technology, Tataguni, Off Kanakapura Road, Bengaluru – 560082, Karnataka, IN

Source

Indian Journal of Science and Technology, Vol 11, No 39 (2018), Pagination: 1-7

Abstract

Objectives: To review various tools available for simulating Spiking Neural Networks using heterogeneous parallel processing platforms that help to reduce cost, increase the computational speed and also to document/archive lessons learnt. Methods/Statistical Analysis: The computational speed is a continuing challenge for simulating genuine spiking neural network models. Understanding of the spiking neural networks is significantly simplified by computer simulators like NEST, GeNN, EDLUT and BRIAN. Findings: Simulation is a handy toolkit of scientists and engineers of all disciplines. NEST, GeNN, EDLUT and BRIAN simulators help in achieving better performance not in terms of same kind of processing but with additional special tasks which require more computational power. BRIAN and EDLUT which are hybrid simulators supports both time driven and event driven techniques and outperform when compared to other simulators. Application/Improvements: Using BRIAN and EDLUT simulation techniques we can achieve the high performance when compared to other spiking neural simulation techniques.

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Recent Advances in Heterogeneous Parallel Processing Schemes for Protein-Ligand Docking

Abstract Views :213 | PDF Views:0

Authors

K. Abhishek ¹, S. Balaji ²

Affiliations
1 Department of Information Science and Engineering, Jain University, Jyothy Institute of Technology, Tataguni, Off Kanakapura Road, Bengaluru – 560082, Karnataka, IN
2 Centre for Incubation, Innovation, Research and Consultancy, Jyothy Institute of Technology, Tataguni, Off Kanakapura Road, Bengaluru – 560082, Karnataka, IN

Source

Indian Journal of Science and Technology, Vol 11, No 40 (2018), Pagination: 1-5

Abstract

Objectives: Molecular docking is widely used for molecular level recognition of leads and compounds which might be useful in the drug discovery domain. Docking is done in order to predict the binding mode and binding affinity of a complex which is formed by two or more constituent molecules with known structure. Objective is to find out the best available techniques in the docking domain. Methodology: We use Hex tool to simulate the various parameters and find out the bottlenecks. Fast Fourier Transform (FFT) and Spherical Polar Transformations (SPT) are applied to study the docking process. Findings: Various performance bottlenecks and parameter effect on the simulation. Improvements: It is observed that GPU optimization is possible by using FFT and SPT. The ligand space considered was limited to shape complementary. This could be considered for future e work.

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