Refine your search
Collections
Co-Authors
- Indira Kalyanasundaram
- S. Ganapaty
- B. N. Mallika
- S. V. V. N. S. M. Lakshmi
- P. S. Thomas
- K. V. Ramana
- S. Packialakshmi
- T. Kumaresan
- P. Sekar
- G. Vengatesh
- M. Kathiresh Kumar
- M. A. Akbarsha
- M. M. Aruldhas
- P. Sivasankar
- C. Chellappan
- N. V. Suneel Kumar
- R. Santhakumar
- T. Velmurugan
- Tauseef Ahmed Shaik
- N. Arunachalam
- A. Hassan
- A. Martin
- V. Aswathy
- V. Prasanna Venkatesan
- R. Subhashini
- V. Priyadharsini
- S. Sasikala
- P. Govindhan
- M. Revathi
- S. Vinodhkumar
- S. Vasudevan
- C. Ravivarman
- B. V. S. Pavan Kumar
- N. Sreenivasa
- K. Abhishek
- A. Akilan
- Y. Srinivas
- N. Yuvaraj
- Goutham Krishna Teja Gunda
- P. K. Champatiray
- Mamta Chauhan
- Prakash Chauhan
- Mijanur Ansary
- Arya Singh
- Yateesh Ketholia
- A. Sridhar
- R. Sudhakar Goud
- G. Udaya Laxmi
Journals
- Indian Forester
- Journal of Natural Remedies
- Indian Journal of Science and Technology
- Journal of Endocrinology and Reproduction
- Data Mining and Knowledge Engineering
- Wireless Communication
- Networking and Communication Engineering
- Biometrics and Bioinformatics
- Automation and Autonomous Systems
- International Journal of Emerging Trends in Science & Technology
- ICTACT Journal on Communication Technology
- ICTACT Journal on Soft Computing
- International Journal of Innovative Research and Development
- International Journal of Earth Sciences and Engineering
- Indian Welding Journal
- Journal of Geological Society of India (Online archive from Vol 1 to Vol 78)
- Current Science
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All
Balaji, S.
- Antimicrobial Activity of some Indigenous Fumigants
Abstract Views :297 |
PDF Views:0
Authors
Source
Indian Forester, Vol 128, No 4 (2002), Pagination: 391-397Abstract
Efficacy of certain indigenous fumigants as anti-microbial agents was evaluated in the present work. Against three test organisms viz.,Bacillus subtilis Ehrenberg, Aspergillus niger V.Tiegh, Aspergillus flavus Link., efficacy of fumes of incense,Garlic,Turmeric,Neem,Vitex, Ficus and cowdung cake were tested.Spore carriers with known concentration of spores were subjected to fumes of indigenous fumigants.The spores exposed were tested for their viability. Viable count of experimental and control plates were compared and the survival percentage was calculated.Garlic fumes and Incense fumes were most effective against bacteria. Fumes of garlic, turmeric, cowdung cake, incense and Ficus exhibited powerful anti-fungal activity. The potential use of indigenous fumigants in sterilization and food grain preservation has been discussed.
- Joint Forest Management in Tamil Nadu - Problems and Prospects
Abstract Views :286 |
PDF Views:1
Authors
Source
Indian Forester, Vol 127, No 11 (2001), Pagination: 1201-1206Abstract
Joint Forest Management (JFM) is eliciting peoples' participation in the management of natural forests for sustainable management. The Interface Forestry Programme implemented to reclothe degraded forests since 1988 is a precursor to the present JFM initiatives in Tamil Nadu. The advantages and constraints in using JFM approach are discussed. The synergetic effect of biological , hydrological and sociological approaches adopted in JFM strives to ameliorate the conditions of rural people and facilitate their co-operation in the management of adjacent degraded natural forests in an integrated manner. Such an approach promises not only rejuvenation of the natural forests but also improved quality of life of the people living adjacent to the forests.- A Review of Phytochemical Studies of Digitalis Species
Abstract Views :742 |
PDF Views:661
Authors
Source
Journal of Natural Remedies, Vol 3, No 2 (2003), Pagination: 104-128Abstract
A review of phytoconstituents and biological activities of Digitalis species has been presented. Despite the fact that there are about 24 species of this genus spread around the world, the present survey revealed that only 17 species have been studied phytochemically. Hence an attempt is made to present a review on the phytochemical studies of Digitalis species which would possibly serve as a source for much potent cardioactive molecules.Keywords
Digitalis Species, Phytochemical, Biological ActivityFull Text
- Tamil Nadu Forest Academy - In Retrospect and Prospect
Abstract Views :276 |
PDF Views:2
Authors
Source
Indian Forester, Vol 139, No 4 (2013), Pagination: 379-381Abstract
No Abstract- Inducing Recharge of Groundwater by Treated Waste Water - A Pilot Study in Southern Chennai Metropolitan Area
Abstract Views :222 |
PDF Views:0
Authors
Affiliations
1 Department of Civil Engineering, Sathyabama University, Chennai – 600119, Tamil Nadu, IN
1 Department of Civil Engineering, Sathyabama University, Chennai – 600119, Tamil Nadu, IN
Source
Indian Journal of Science and Technology, Vol 8, No 11 (2015), Pagination:Abstract
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 ShaftFull Text
- Impact of Gestational and Lactational Exposure to Hexavalent Chromium on Steroidogenic Compartment of Post-Natal Rat Testis
Abstract Views :217 |
PDF Views:0
Authors
Affiliations
1 Department of Endocrinology, Dr. ALM Post-Graduate Institute of Basic Medical Sciences, University of Madras, Taramani Campus, Chennai - 600 113, IN
2 Department of Animal Science, Bharathidasan University, Tiruchirappalli - 620 024, IN
3 Department of Endocrinology, Dr. ALM Post-Graduate Institute of Basic Medical Sciences, University of Madras Taramani Campus, Chennai - 600 113, IN
1 Department of Endocrinology, Dr. ALM Post-Graduate Institute of Basic Medical Sciences, University of Madras, Taramani Campus, Chennai - 600 113, IN
2 Department of Animal Science, Bharathidasan University, Tiruchirappalli - 620 024, IN
3 Department of Endocrinology, Dr. ALM Post-Graduate Institute of Basic Medical Sciences, University of Madras Taramani Campus, Chennai - 600 113, IN
Source
Journal of Endocrinology and Reproduction, Vol 15, No 1&2 (2011), Pagination: 15-26Abstract
Reproductive and embryonic toxicity of hexavalent chromium (CrVI) is known, and adult testis is one of its vulnerable targets. However, it is not known if gestational and lactational exposure to excess Cr affects development and functions of Leydig cells during postnatal life. It is hypothesized that gestational/lactational exposure to CrVI may affect Leydig cell development and differentiation and its functions during postnatal life extending into adulthood. Pregnant [gestational days 9 to 21] and lactating [postnatal days (PND) 1 to 21] rats were exposed to 50ppm and 100ppm CrVI (K2Cr2O7) through drinking water, and testis was collected on PND 30, 60, 90 and 120, and subjected to light and transmission electron microscopic analysis. Serum testosterone and estradiol were determined adopting RIA. Histological evaluation of testes revealed hypertrophy and vacuolation of Leydig cells of CrVI-exposed rats; transmission electron micrographs (TEM) showed lipid accumulation, swollen mitochondria and disorganized smooth endoplasmic reticulum. Lactational exposure to CrVI led to decrease in the number of mitochondria and collapse of mitochondrial cristae. In general, the changes were obvious in PND 30 rats, and became less pronounced by PND 60 to become normal by PND 90. Serum testosterone and estradiol levels showed a general trend of opposite response to CrVI exposure. Gestational exposure to CrVI caused increase in testosterone level in prepuberal rats, but the trend was reversed by PND 60, and by PND 120 its level was more than in coeval controls. A similar trend was noticed in rats which had lactational exposure to CrVI but for a consistent increase in both steroids in PND 30 and PND 60 old rats which were exposed to 50ppm CrVI. By PND 90, testosterone remained elevated or normal, but by PND 120 its level was increased due to lactational exposure to CrVI. On the contrary, serum estradiol in these rats was low by PND 90 and became normal by PND 120. The findings partially support the hypothesis proposed and it is concluded that the fetal type Leydig cells are the major targets for the toxic effects of CrVI exposure during gestational and lactational periods where in lactational exposure may have a persistent effect leading to increased testosterone: estradiol ratio. Nevertheless, the effects of CrVI on testosterone and estradiol are reversible, as the adult type Leydig cells are unaffected.Keywords
CrVI, Estradiol, Leydig Cells, Sertoli Cells, Testicular Toxicity, Testosterone.- Secure Data Sharing in Cloud Without Certificate Verification Process Using Id-Based Proxy Ring Signature
Abstract Views :204 |
PDF Views:4
Authors
Affiliations
1 Department of Information Technology, V.R.S College of Engineering and Technology, IN
1 Department of Information Technology, V.R.S College of Engineering and Technology, IN
Source
Data Mining and Knowledge Engineering, Vol 8, No 4 (2016), Pagination: 111-114Abstract
Data sharing has never been easier with the advances of cloud computing. Data sharing with a large number of participants must take into account several issues, including efficiency, data integrity and privacy of data owner. A ring signature is a simplified group signature without any manager. It protects the anonymity of a signer. Unlike the group signature schemes the ring signature scheme requires neither a group manager, nor a setup procedure, nor the action of non-signing members. This signature does not reveal the identity of the signer but it may be varied with this signature that the signer belong to the possible signers set. There is no revocation manager. This allows unconditional anonymity of signer. Therefore, we introduce proxy signature scheme to allow a proxy signer to sign on behalf of an original signer. Using this scheme, we can achieve the singer ambiguity and key secrecy. To achieve user account security, we employee authentication process. In this authentication process user thump impression is capture and compared with the user data which are stored in database during registration process.Keywords
Anonymity, Authenticity, Certificate, Encryption, Efficiency, Signature, Threshold.- Energy Efficient Routing Algorithms and Performance Comparison for MANET
Abstract Views :164 |
PDF Views:3
Authors
Affiliations
1 NITTTR, IN
2 Computer Science and Engineering Department, Anna University, Chennai, IN
3 IBM, Bangalore, IN
1 NITTTR, IN
2 Computer Science and Engineering Department, Anna University, Chennai, IN
3 IBM, Bangalore, IN
Source
Wireless Communication, Vol 3, No 10 (2011), Pagination: 755-759Abstract
Mobile Ad hoc networks is a self-configuring infra structureless temporary network of mobile devices connected by wireless links. A major bottleneck in Mobile Ad hoc networks (MANETs) is the energy consumption since nodes are usually mobile and battery operated. This paper proposes an algorithm called Energy Efficient Delay Time Routing (EEDTR) which tries to increase the operational lifetime of Mobile Ad hoc networks. This algorithm is modified version of the existing Dynamic Source Routing (DSR) algorithm. This algorithm select fully distributed routes, thus balancing power consumption of the entire network and introduces a delay in forwarding the packets by nodes, which is inversely proportional to the remaining energy level of the node (EEDTR). The algorithm is designed and implemented using Global Mobile Simulator (GloMoSim), a scalable, simulation environment for network simulation. Based on the results obtained, it is concluded that the algorithm increases the lifetime of mobile ad hoc networks, at the expense of end delay and routing overhead.Keywords
DSR, EEDTR, GloMoSim and MANET.- Implementation of Semisoft Handover in Multicarrier Broadband Systems for Low and High Data Rates
Abstract Views :210 |
PDF Views:4
Authors
Affiliations
1 Applied Electronics Division of School of Electrical Engg. of Vellore Institute of Technology University, Vellore - 14, IN
2 Netwoking Division of School of Electronics Engg. of Vellore Institute of Technology University, Vellore - 14, IN
1 Applied Electronics Division of School of Electrical Engg. of Vellore Institute of Technology University, Vellore - 14, IN
2 Netwoking Division of School of Electronics Engg. of Vellore Institute of Technology University, Vellore - 14, IN
Source
Networking and Communication Engineering, Vol 2, No 8 (2010), Pagination: 225-230Abstract
There are different approaches of handover in multi carrier based broadband systems to provide QoS over mobile communication networks, in particularly for multicarrier systems like OFDM and MC-CDMA. This paper presents a handover technique referred to as semisoft handover which overcomes the drawbacks of previous handover techniques. Here, performance measurements are conducted to evaluate the proposed handover technique in terms of outage probability at the cell boundary by considering loading ratio and data rates.
Keywords
Quality of Service (QoS), Multicarrier, Orthogonal Frequency Division Multiplexing (OFDM), Outage Probability, Semisoft Handover.- Embedding Agents in Web Service Framework for E-Learning
Abstract Views :142 |
PDF Views:3
Authors
Source
Biometrics and Bioinformatics, Vol 4, No 10 (2012), Pagination: 476-478Abstract
This paper is based on the developing of an e-learning application as a XML web service in two ways, a traditional web service application and an agent based XML web service and to compare the two applications based on the heap size (i.e.) memory consumption by services. The comparison proves that the agent when embedded into the web services can perform much better than the traditional web service applications and thus increases the efficiency of the web service.Keywords
Web Service, Agents, E-Learning, Agent Based E-Learning.- An Analysis on Qualitative Bankruptcy Models to Frame Bankruptcy Prediction Rules Using Ant Colony Algorithm
Abstract Views :207 |
PDF Views:2
Authors
Affiliations
1 Department of Banking Technology, Pondicherry University, Puducherry, IN
2 Sri Manakula Vinayakar Engineering College, Puducherry, IN
1 Department of Banking Technology, Pondicherry University, Puducherry, IN
2 Sri Manakula Vinayakar Engineering College, Puducherry, IN
Source
Automation and Autonomous Systems, Vol 3, No 10 (2011), Pagination: 492-496Abstract
Many Qualitative Bankruptcy Prediction models are available. These models use non-financial information as Qualitative factors and from which Bankruptcy is predicted. In the prior researches Genetic Algorithm was applied to generate Qualitative Bankruptcy Prediction Rules. However this Model uses only very less number of Qualitative factors and the generated rules has Repetitions and overlapping. To improve the Prediction accuracy we have proposed a model which applies more number of Qualitative factors and Prediction Rules are generated using Ant Colony Optimization Algorithm (ACO). The concept pheromone depositing and updating in Ant Colony Algorithm reduce the false negative rules in the bankruptcy prediction. The heuristic and probabilistic features of Ant Colony Algorithm increase the prediction accuracy of Bankruptcy.Keywords
Ant Colony Algorithm, Genetic Algorithm, Qualitative Bankruptcy Prediction, Repetitions and Overlapping, Qualitative Factors, Pheromone Deposit and Update, Heuristic and Probabilistic Features, Prediction Accuracy.- Implementation of Modified Carry Select Adder in Booth Multiplier
Abstract Views :168 |
PDF Views:2
Authors
S. Balaji
1,
R. Subhashini
2
Affiliations
1 VLSI Design, Dept. of Electronics & Communication Engg., Kalasalingam University, Krishnankoil, Virudhunagar Dist, Tamil Nadu, IN
2 VLSI Design, Dept. of Electronics & Communication Engg., Kalaignar Karunanithi Institute of Technology, Kannampalayam, Coimbatore Dist, Tamil Nadu, IN
1 VLSI Design, Dept. of Electronics & Communication Engg., Kalasalingam University, Krishnankoil, Virudhunagar Dist, Tamil Nadu, IN
2 VLSI Design, Dept. of Electronics & Communication Engg., Kalaignar Karunanithi Institute of Technology, Kannampalayam, Coimbatore Dist, Tamil Nadu, IN
Source
International Journal of Emerging Trends in Science & Technology, Vol 1, No 1 (2014), Pagination: 6-9Abstract
Design of area and power-efficient high-speed data path logic systems are one of the most substantial areas of research in VLSI system design, The Carry Select Adder (CSLA) provides a good compromise between cost and performance in carry propagation adder design. However, conventional CSLA is still area-consuming due to the dual ripple carry adder (RCA) structure. In this paper, modification is done at gate-level to reduce area and power consumption. The Modified Carry Select-Adder (MCSLA) is designed for 8-bit, 16-bit, 32-bit and 64-bit and then compared with conventional CSLA respective architectures, this work evaluates the performance of the proposed designs in terms of delay, area, power, and their products by implementing in Xilinx fpga. This CSLA structures are implemented in booth multiplier in order to increase the efficiency of the booth multiplier.Keywords
Application Specific Integrated Circuits (ASIC), Area-Efficient, CSLA, Low Power, Booth Multiplier.- A Robust Cluster Head Selection Based on Neighborhood Contribution and Average Minimum Power for Manets
Abstract Views :262 |
PDF Views:0
Authors
Affiliations
1 Department of Computer Science and Engineering, GRT Institute of Engineering and Technology, IN
2 Department of Computer Science and Engineering, Akshaya College of Engineering and Technology, IN
1 Department of Computer Science and Engineering, GRT Institute of Engineering and Technology, IN
2 Department of Computer Science and Engineering, Akshaya College of Engineering and Technology, IN
Source
ICTACT Journal on Communication Technology, Vol 6, No 2 (2015), Pagination: 1099-1104Abstract
Mobile Adhoc network is an instantaneous wireless network that is dynamic in nature. It supports single hop and multihop communication. In this infrastructure less network, clustering is a significant model to maintain the topology of the network. The clustering process includes different phases like cluster formation, cluster head selection, cluster maintenance. Choosing cluster head is important as the stability of the network depends on well-organized and resourceful cluster head. When the node has increased number of neighbors it can act as a link between the neighbor nodes which in further reduces the number of hops in multihop communication. Promisingly the node with more number of neighbors should also be available with enough energy to provide stability in the network. Hence these aspects demand the focus. In weight based cluster head selection, closeness and average minimum power required is considered for purging the ineligible nodes. The optimal set of nodes selected after purging will compete to become cluster head. The node with maximum weight selected as cluster head. Mathematical formulation is developed to show the proposed method provides optimum result. It is also suggested that weight factor in calculating the node weight should give precise importance to energy and node stability.Keywords
Adhoc Networks, Clusters, Stability.- Deriving User Access Patterns and Mining Web Community with Web-Log Data for Predicting User Sessions With Pajek
Abstract Views :181 |
PDF Views:0
Authors
S. Balaji
1,
S. Sasikala
2
Affiliations
1 Department of Computer Science, Sengunthar College of Engineering, IN
2 Department of Computer Science, K.S.R College of Arts and Science, IN
1 Department of Computer Science, Sengunthar College of Engineering, IN
2 Department of Computer Science, K.S.R College of Arts and Science, IN
Source
ICTACT Journal on Soft Computing, Vol 3, No 1 (2012), Pagination: 415-419Abstract
Web logs are a young and dynamic media type. Due to the intrinsic relationship among Web objects and the deficiency of a uniform schema of web documents, Web community mining has become significant area for Web data management and analysis. The research of Web communities extents a number of research domains. In this paper an ontological model has been present with some recent studies on this topic, which cover finding relevant Web pages based on linkage information, discovering user access patterns through analyzing Web log files from Web data. A simulation has been created with the academic website crawled data. The simulation is done in JAVA and ORACLE environment. Results show that prediction of user session could give us plenty of vital information for the Business Intelligence. Search Engine Optimization could also use these potential results which are discussed in the paper in detail.Keywords
Web Log, Mining, Clustering, Social Network Analysis.- Enhanced Performance for Dynamic Wireless Environment via Integrated Push System and Femtocell
Abstract Views :125 |
PDF Views:4
Authors
Source
International Journal of Innovative Research and Development, Vol 3, No 3 (2014), Pagination:Abstract
This paper provides a, new design topology for wireless data broadcasting. At the Broadcast server, the use of smart antennas with alterable beamwidth to client location based wireless push system. Where data from the broadcast sever (BS) is transmitted to the user location area with respect to geographical distribution of clients with the help of learning automata, where modification is done at the receiver side by integrating with the Femtocell. The proposed scheme increases the speed of data broadcasting in dynamic environment observed at the client side.
Keywords
Data broadcasting, push system, smart antenna femtocell, interference, Learning automataFull Text
- Artificial Neural Network Modelling and Economic Analysis of Black Cotton Soil Subgrade Stabilized With Flyash and Geotextile
Abstract Views :180 |
PDF Views:118
Authors
S. Vinodhkumar
1,
S. Balaji
1
Affiliations
1 Department of Civil Engineering, Kongu Engineering College, Perundurai-638052, IN
1 Department of Civil Engineering, Kongu Engineering College, Perundurai-638052, IN
Source
International Journal of Earth Sciences and Engineering, Vol 9, No 1 (2016), Pagination: 81-86Abstract
For roads on black cotton soils, stabilization process is indispensable to subdue swell-shrink problems and also to improve CBR value. The aim of this research is to contrive an Artificial Neural Network model which can be used to predict values of CBR of sub-grade soil with the addition of flyash and geotextile. The input values for this research includes Atterberg’s limits, Optimum Moisture Content & Fraction of Fly Ash added and number of geotextile layers which can affect the CBR values. The effects of number of neurons in hidden layer with different algorithms are scrutinized. Levenberg-Marquardt back propagation shows maximum R value of 0.98695 and minimum MSE value of 8.0242e-11. Economic beneficial are reconnoitered according to schedule of rates of materials as well.Keywords
Black Cotton Soil, Flyash, Geotextile, Artificial Neural Networks, Economic Analysis.Full Text
- Effect of Heat Input and Shielding Gas Mixture on the Microstructure of Super Duplex Stainless Steel Welds
Abstract Views :186 |
PDF Views:6
Authors
Affiliations
1 Department of Metallurgical Engineering, Regional Engineering College, Tiruchirappalli - 620015, IN
1 Department of Metallurgical Engineering, Regional Engineering College, Tiruchirappalli - 620015, IN
Source
Indian Welding Journal, Vol 35, No 2 (2002), Pagination: 40-44Abstract
Duplex stainless steels find ever-increasing applications in chemical, off-shore, paper/pulp and fertilizer industries owing to their excellent combination of mechanical and corrosion properties [1-3]. More demanding situations prefer super duplex stainless steels, which have higher pitting resistance equivalence [4]. Even though many of the conventional welding processes are employed for joining of these high-performance materials, still the industries face the problem of achieving the desired properties - especially the corrosion resistance, in the resultant weldments [5-7]. Welding upsets the ferrite-austenite microstructural balance in the weld metal and in the high temperature heat affected zone. More so, industrially different gas/gas mixture combinations are employed for achieving the desired properties [8-10]. In the current work an attempt has been to study the effect of different welding processes on weld metal microstructure in the super duplex stainless steel grade SAF 2507.
- Massively Parallel Computational Schemes for Simulating Spiking Neural Networks using GPU Accelerators
Abstract Views :225 |
PDF Views:0
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
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: 1-7Abstract
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.Full Text
References
- Gerstner W, Kistler W. Spiking Neuron Models. Cambridge University Press; 2002. p. 1–28. https://doi.org/10.1017/CBO9780511815706, https://doi.org/10.1017/CBO9780511815706.002. PMid: 11842739.
- Hwu WM. GPU Computing Gems Emerald Edition, 1st Edition. Morgan Kaufman; 2011.
- Carnevale N, Hines M. The NEURON Book. Cambridge University Press; 2006. https://doi.org/10.1017/CBO9780511541612.
- Izhikevich EM. Dynamical Systems in Neuroscience: The Geometry of Excitability and Bursting. The MIT Press Cambridge; 2007. PMid: 17220510, PMCid: PMC4437488.
- Vreeken J. Spiking neural networks: An introduction, Tech. Rep., Artificial Intelligence laboratory, Intelligent Systems Group, University of Utrecht, 2003.
- Brette R. Simulation of networks of spiking neurons: A review of tools and strategies, Journal of Computational Neuroscience. 2007; 23(3):349–98. https://doi.org/10.1007/s10827-007-0038-6. PMid: 17629781, PMCid: PMC2638500.
- Brette R, Goodman DF. Simulating spiking neural networks on GPU, Network. 2012; 23(4):167–82. https://doi.org/10.3109/0954898X.2012.730170. PMid: 23067314.
- Chessa M, Bianchi V, Zampetti M, Sabatini SP, Solari F. Real-time simulation of large-scale neural architectures for visual features computation based on GPU; Network. 2012; 23(4):272–91. https://doi.org/10.3109/09548 98X.2012.737500. PMid: 23116085.
- Anantha Narayanan R, Modha DS. Anatomy of a cortical simulator. SC '07: Proceedings of the 2007 ACM/IEEE Conference on Super Computing; 2007. p. 1–12. https://doi.org/10.1145/1362622.1362627.
- NEST Simulator. Date accessed: 2016. http://www.nestinitiative.org/.
- Carlson KD, Nageswaran JM, Dutt N, Krichmar JL. An efficient automated parameter tuning framework for spiking neural networks, Neuroscience. 2014; 8(10):1–16.
- Fountas Z, Shanahan M. GPU-based fast parameter optimization for phenomenological spiking neural models. International Joint Conference on Neural Networks (IJCNN), Killarney, Ireland; 2015. p. 1–8. https://doi.org/10.1109/IJCNN.2015.7280668.
- Izhikevich EM. Which model to use for cortical spiking neurons? IEEE Transaction Neural Networking. 2004; 15(5):1063–70. https://doi.org/10.1109/TNN.2004.832719. PMid: 15484883.
- Hodgkin AL, Huxley AF. A quantitative description of membrane current and its application to conduction and excitation in nerve, Journal of Physiology. 1952; 117(4):500– 44. https://doi.org/10.1113/jphysiol.1952.sp004764. PMid: 12991237, PMCid: PMC1392413.
- Izhikevich EM. Simple model of spiking neurons, IEEE Transaction Neural Networking. 2003; 14(6):1569–72.
- Nageswaran JM, Dutt N, Krichmar JL, Nicolau A, Veidenbaum AV. A configurable simulation environment for the efficient simulation of large-scale spiking neural networks on graphics processors, Neural Networking. 2009; 22(5–6):79–800. https://doi.org/10.1016/j.neunet. 2009.06.028.
- Fidjeland A, Roesch E, Shanahan M, Luk W. NeMo: A platform for neural modeling of spiking neurons using GPUs. 20th IEEE International Conference on Application-specific Systems, Architectures and Processors; 2009. https://doi.org/10.1109/ASAP.2009.24.
- Garrido A, Carrillo RR, Luque NR, Ros E. Event and time driven hybrid simulation of spiking neural networks, Advances in Computational Intelligence. 2011; 6691:554– 61. https://doi.org/10.1007/978-3-642-21501-8_69.
- Goodman D, Brette R. The Brian simulator, Front in Neuroscience. 2009; 3(2):192–97. https://doi.org/10.3389/neuro.01.026.2009. PMid: 20011141, PMCid: PMC2751620.
- NEURON Simulator. http://www.neuron.yale.edu/neuron. Date accessed: 20/08/2018.
- Brian Simulator. http://briansimulator.org/. Date accessed: 10/06/2018.
- Mvaspike Simulator. http://mvaspike.gforge.inria.fr/. Date accessed: 04/04/2013.
- NeMo Simulator. http://nemosim.sourceforge.net/. Date accessed: 10/07/2018.
- GeNN Simulator. http:genn-team.github.io/genn/. Date accessed: 15/07/2018.
- Recent Advances in Heterogeneous Parallel Processing Schemes for Protein-Ligand Docking
Abstract Views :211 |
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
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: 1-5Abstract
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.Full Text
References
- Akyildiz IF. Nano networks: A new communication paradigm at molecular level. Computer Networks. 2008; 52(12): 2260–79. https://doi.org/10.1016/j.comnet.2008.04.001
- Chahibi Y, Balasubramaniam S. Molecular communication modeling of antibody-mediated drug delivery systems. IEEE Transactions on Biomedical Engineering. 2015; 62(7):1683–95. PMid: 25675450. https://doi.org/10.1109/TBME.2015.2400631
- Garg A, Balthasar JP. Physiologically-based Pharmacokinetic (PBPK) model to predict IgG tissue kinetics in wild-type and FcRn knockout mice. Journal of Pharmacokinetics and Pharmacodynamics. 2007; 34(5):687–709. PMid:17636457. https://doi.org/10.1007/s10928-007-9065-1
- Pierobon M. Akyildiz IF. Diffusion-based noise analysis for molecular communication in nano networks. IEEE Transaction Signal Process. 2011; 59(6):2532–47. https://doi.org/10.1109/TSP.2011.2114656
- Erwin D, Davidson E. The evolution of hierarchical gene regulatory networks. Nature Reviews. 2009; 10(2):141–8. PMid: 19139764. https://doi.org/10.1038/nrg2499
- Mahjoubfar A, Goda K, Wang C, Fard A, Adam J, Gossett DR, Ayazi A, Sollier E, Malik O, Chen E, Liu Y, Brown R, Sarkhosh N, Di Carlo D, Jalali B. 3D ultrafast laser scanner. Proceedings SPIE 8611: 86110N; 2013. https://doi.org/10.1117/12.2003135
- Ng W, Rockwood T, Reamon A. Demonstration of channel-stitched photonic time-stretch analog-to-digital converter with ENOB ≥ 8 for a 10 GHz Signal Bandwidth. GOMACTech-14; Charleston, South Carolina. 2014.
- 8. Gelenbe E. A unified approach to the evaluation of a class of replacement algorithms. IEEE Trans Comput; 1973. p. 611–8. https://doi.org/10.1109/TC.1973.5009115
- Carro M, Lim W, Alvarez M, Bollo R, Zhao X, Snyder E, Sulman E, Anne S, Doetsch F, Colman H. The transcriptional network for mesenchymal transformation of brain tumors. Nature. 2009; 463(7279):318–25. PMid: 20032975 PMCid: PMC4011561. https://doi.org/10.1038/nature08712
- Valley GC, Sefler GA, Shaw TJ. Compressive sensing of sparse radio frequency signals using optical mixing. Optics Letters 37; 2012. p. 4675–7. PMid: 23164876. https://doi.org/10.1364/OL.37.004675
- Asghari MH, Jalali B. Anamorphic transformation and its application to time bandwidth compression. IEEE Global Conference on Signal and Information Processing. 2013; 52:6735–43. https://doi.org/10.1364/AO.52.006735
- Solli DR, Ropers C, Koonath P, Jalali B. Optical rogue waves. Nature. 2007; 450:1054–7. PMid: 18075587. https:// doi.org/10.1038/nature06402
- Ferl GZ. A predictive model of therapeutic monoclonal antibody dynamics and regulation by the Neonatal FC Receptor (FCRN). Annals of Biomedical Engineering. 2005; 33(11):1640–52. PMid: 16341929. https://doi.org/10.1007/ s10439-005-7410-3
- Jalali B, Chan J, Asghari MH. Time bandwidth engineering. Optical. 2014; 1(1):23–31. PMid: 25246983 PMCid: PMC4169056.
- Pierobon M, Akyildiz IF. Noise analysis in ligand-binding reception for molecular communication in nano networks. IEEE Transaction Signal Process. 2011; 59(9):4168–82. https://doi.org/10.1109/TSP.2011.2159497
- Goda K, Tsia KK, Jalali B. Serial time-encoded amplified imaging for real time observation of fast dynamic phenomena. Nature 458; 2009:1145–9. PMid:19407796. https://doi.org/10.1038/nature07980
- Diebold ED, Buckley BW, Gossett DR, B. Jalali B. Digitally synthesized beat frequency multiplexing for sub-millisecond fluorescence microscopy. Nature Photonics. 2013; 7: 806–10. https://doi.org/10.1038/nphoton.2013.245
- Zhang C, Xu Y, Wei X, Tsia KK and Wong KKY. Time-stretch microscopy based on time-wavelength sequence reconstruction from wideband in coherent source. Applied Physics Letters. 2014; p. 1–105. https://doi.org/10.1016/j.physletb.2014.09.022
- Asghari MH, Jalali B. Experimental demonstration of real-time optical data compression. Applied Physics Letters 104. 2014; p. 1–4. https://doi.org/10.1063/1.4868539
- Kim H, Gelenbe E. Reconstruction of large-scale gene regulatory networks using bayesian model averaging. IEEE Transactions on nano bioscience. 2012; 11(3):259–65.
- Modelling of volcanic ash with HYSPLIT and satellite observations: a case study of the 2018 Barren Island volcano eruption event, Andaman Territory, India
Abstract Views :179 |
PDF Views:98
Authors
Goutham Krishna Teja Gunda
1,
P. K. Champatiray
1,
Mamta Chauhan
1,
Prakash Chauhan
1,
Mijanur Ansary
1,
Arya Singh
1,
Yateesh Ketholia
1,
S. Balaji
2
Affiliations
1 Geosciences and Disaster Management Studies Group, Indian Institute of Remote Sensing (ISRO), Dehradun 248 001, IN
2 Department of Disaster Management, Pondicherry University, Port Blair 744 101, IN
1 Geosciences and Disaster Management Studies Group, Indian Institute of Remote Sensing (ISRO), Dehradun 248 001, IN
2 Department of Disaster Management, Pondicherry University, Port Blair 744 101, IN
Source
Current Science, Vol 121, No 4 (2021), Pagination: 529-538Abstract
The present study aims to identify, characterize monitor and model the transport pathways of volcanic ashes and various features of the active phase of Barren Island volcano (BIV), Andaman and Nicobar Island, India during 2018 using the several Earth observation satellite technologies and field observations in the study area. Sentinel-2 satellite datasets have been used to identify volcanic eruption features such as lava flow, ash plume, cinder and vent and different directions of lava flow from the cinder cone during the 2018 eruptive phase of BIV. To visualize the major variations in thermal intensity and understand the behaviour of current volcanic activity, volcanic radiative power (VRP) and radiant fluxes of the recent eruptive phase were calculated using MIROVA. In addition, thermal anomaly was observed in the form of anomalous fire pixels for 44 days in FIRMS database. Also, NASA/NOAA Visible Infrared Imaging Radiometer Suite (VIIRS, VNP14IMGT) were used for validating the real-time activity of the 2018 volcanic eruption phase. The results obtained were closely related with the periods of high eruptions as observed in the Sentinel-2 datasets. The volcanic aerosol ‘sulphur dioxide’ (SO2) data (time series-area averaged) were analysed as well as a five-day forward trajectory and volcanic ash model for each eruption event was developed using HYSPLIT model to identify the transport pathways and extent of volcanic ash cloud in the lower atmosphere during the eruptive phase of the volcano.Keywords
Eruptive phase, field observations, satellite observations, volcanic ash.Full Text
References
- Sheth, H. C., Ray, J. S., Kumar, A., Bhutani, R. and Awasthi, N., Toothpaste lava from the Barren Island volcano (Andaman Sea). J. Volcanol. Geotherm. Res., 2001, 202, 73–82.
- Sheth, H., What drives centuries-long polygenetic scoria cone activity at Barren Island volcano? J. Volcanol. Geotherm. Res., 2014 289, 64–80; https://doi.org/10.1016/j.jvolcanol.2014.10 .019.
- Furtney, M. A., Synthesizing multi-sensor, multi-satellite, multidecadal data sets for global volcano monitoring. J. Volcanol. Geotherm. Res., 2018 365, 38–56; https://doi.org/10.1016/j. jvolgeores.2018.10.002.
- Campion, R., New lava lake at Nyamuragira volcano revealed by combined ASTER and OMI SO2 measurements. Geophys. Res. Lett., 2014, 41(21), 7485–7492; https://doi.org/10.1002/ 2014GL061808.
- Ramsey, M. and Harris, A., Volcanology 2020: how will thermal remote sensing of volcanic surface activity evolve over the next decade? J. Volcanol. Geotherm. Res., 2013, 249, 217–233.
- Harris, A. J. L., Thermal Remote Sensing of Active Volcanoes. A User’s Manual, Cambridge University Press, Cambridge, UK, 2013, p. 736.
- Vinod Kumar, K., Martha, T. R. and Roy, P. S., Detection of volcanic eruption in Barren Island using IRS P6 AWiFS data. Curr. Sci., 2016, 91(6), 752–753.
- Coppola, D., Thermal remote sensing for global volcano monitoring: experiences from the MIROVA system. Front. Earth Sci., 2020, 7, 362.
- Coppola, D., Laiolo, M., Cigolini, C., Delle Donne, D. and Ripepe, M., Enhanced volcanic hot-spot detection using MODIS IR data: results from the MIROVA system. Geol. Soc. London, Spec. Publ., 2016, 426(1), 181–205; https:/doi.org/10.1144/SP426.5.
- Coppola, D., Laiolo, M., Lara, L. E., Cigolini, C. and OroZco, G., The 2008 ‘silent’ eruption of Nevados de chillan (Chile) detected from space: effusive rates and trends from the MIROVA system. J. Volcanol. Geotherm. Res., 2016, 327, 322–329; http://doi.org/ 10.1016/j.jvolgeo res.2016 .08.016.
- Coppola, D. and Cigolini, C., Thermal regimes and effusive trends at Nyamuragira volcano (DRC) from MODIS infrared data. Bull. Volcanol., 2013, 75, 744; https://doi.org/10.1007/s00445-013-0744-z.
- Pieri, D. and Abrams, M., ASTER observations of thermal anomalies preceding the April 2003 eruption of Chikurachki volcano, Kurile Islands, Russia. Remote Sensing Environ., 2005, 99(1–2), 84–94; doi.org/10.1016/j.rse.2005.06.012.
- Blackett, M., Early analysis of landsat-8 thermal infrared sensor imagery of volcanic activity. Remote Sensing, 2014, 6, 2282–2295.
- Wright, R., Flynn, L. P. and Harris, A. J., Evolution of lava flowfields at Mount Etna, 27–28 October 1999, observed by Landsat 7 ETM+. Bull. Volcanol., 2001 63(1), 1–7; doi.org/10.1007/ s004450100124.
- Massimetti, F., Volcanic hot-spot detection using SENTINEL-2: a comparison with MODIS–MIROVA thermal data series. Remote Sensing, 2020, 12, 820.
- Francesco, M., Genzano, N., Neri, M., Falconieri, A., Giuseppe, M. and Pergola, N., A multi-channel algorithm for mapping volcanic thermal anomalies by means of Sentinel-2 MSI and landsat-8 OLI data. Remote Sensing, 2019, 11, 2876; https://doi.org/10.3390/rs11232876.
- Gunda, G. K. T., Champatiray, P. K., Mamta, C. and Prakash, C., Monitoring of volcanic eruption (Barren Island) using EO satellites. Curr. Sci., 2020, 118, 1874–1876.
- Martha Tapas, R., Priyomvinod, K. and Kumranchat, Lava flows and cinder cones at Barren Island volcano, India (2005–2017): a spatio-temporal analysis using satellite images. Bull. Volcanol., 2018, 80, 15.
- Bhattacharya, A., Reddy, C. S. S. and Srivastav, S K., Remote sensing for active volcano monitoring in Barren Island, India. Photogramm. Eng. Remote Sensing, 1993, 59(8), 1293–1297.
- Mitchell, A. H. G., Collision-related fore-arc and back-arc evolution of the northern Sunda Arc. Tectonophysics, 1985, 116(3–4), 323–334.
- Halder, D., Laskar, T., Bandopadhyay, P. C., Sarkar, N. K. and Biswas, J. K., Volcanic eruption of the Barren Island volcano, Andaman Sea. J. Geol. Soc. India, 1992, 39, 411–419.
- Sachin, T. et al. Morphology of submarine volcanic seamounts from inner volcanic arc of Andaman Sea. Indian J. Geosci., 2018, 71(3), 451–470.
- Bandopadhyay, P. C., Inner-arc volcanism: Barren and Narcondam Islands. Geol Soc., London, Memoirs, 2017, 47, 167–192.
- Curray, J. R., The Sunda Arc: a model for oblique plate convergence. Netherl. J. Sea Res., 1989, 24(2–3), 131–140.
- Curray, J. R., Moore, D. G., Lawver, L. A., Emmel, F. J., Raitt, R. W., Henry, M. and Kieckhefer, R., Tectonics of the Andaman Sea and Burma: convergent margins. Am. Assoc. Petrol. Geol. Mem., 1979, 29, 189–198.
- Curray, J. R., Tectonics and history of Andaman Sea region. J. Asian Earth Sci., 2005, 25(1), 187–232.
- Raju, K. A., Ramprasad, T., Rao, P. S. and Varghese, J., New insights into the tectonic evolution of the Andaman Basin, northeast Indian Ocean. Earth Planet. Sci. Lett., 2004, 221(1–4), 145–162.
- Wright, R., Flynn, L., Garbeil, H., Harris, A. and Pilger, E., Automated volcanic eruption detection using MODIS. Remote Sensing Environ., 2002, 82(1), 135–155.
- Rothery, D. A., Coppola, D. and Saunders, C., Analysis of volcanic activity patterns using MODIS thermal alerts. Bull. Volcanol., 2005, 67(6), 539–556; https://doi.org/10.1007/s00445-004-0393-3.
- Wright, R., Flynn, L. P., Garbeil, H., Harris, A. J. L. and Pilger, E., MODVOLC: near-real-time thermal monitoring of global volcanism. J. Volcanol. Geotherm. Res., 2004, 135, 29–49; https://doi.org/10.1016/j.jvolgeores.2003.12.008.
- Wooster, M. J., Zhukov, B. and Oertel, D., Fire radiative energy for quantitative study of biomass burning: derivation from the BIRD experimental satellite and comparison to MODIS fire products. Remote Sensing Environ., 2003, 86, 83–107.
- Stein, A. F., Draxler, R. R., Rolph, G. D., Stunder, B. J. B., Cohen, M. D. and Ngan, F., NOAA’s HYSPLIT atmospheric transport and dispersion modeling system. Bull. Am. Meteorol. Soc., 2015, 96, 2059–2077; doi:10.1175/BAMS-D-14-00110.1.
- Draxler, R. R. and Hess, G. D., An overview of the HYSPLIT_4 modeling system for trajectories, dispersion, and deposition. Aust. Meteorol. Mag., 1998, 47, 195–308.
- Draxler, R. R. and Hess, G. D., Description of the HYSPLIT_4 modeling system. NOAA tech. memo. ERL ARL-224. Air Resources Laboratory, Silver Spring, MD, pp 24, NTIS. PB98-116593.
- Dare, R. A., Sedimentation of volcanic ash in the HYSPLIT dispersion model, CAWCR Technical Report No. 079, The Centre for Australian Weather and Climate Research, Melbourne, Australia, 2015.
- Stunder, B., Heffter, J. L. and Draxler, R. R., Airborne volcanic ash forecast area reliability. Weather Forecast., 2007, 22, 1132, doi:10.1175/WAF1042.1.
- Rolph, G. D. and Draxler, R. R., Description and verification of the NOAA smoke forecasting system: the 2007 fire season. Weather Forecast., 2009, 24, 361–378.
- Draxler, R. R. and Rolph, G. D., Evaluation of the transfer coefficient matrix (TCM) approach to model the atmospheric radionuclide air concentrations from Fukushima. J. Geophys. Res., 2012, 117, D05107; doi:10.1029/2011JD017205.
- Hurst, T. and Davis, C., Forecasting volcanic ash deposition using HYSPLIT. J. Appl. Volcanol., 2017, 6(5); doi:10.1186/s13617-017-0056-7.
- Crawford, A. M., Stunder, B. J. B., Ngan, F. and Pavolonis, M. J., Initializing HYSPLIT with satellite observations of volcanic ash: a case study of the 2008 Kasatochi eruption. J. Geophys. Res.: Atmos., 2016, 121, 10786–10803; doi:10.1002/2016JD024779.
- Barren Island Volcano: Recent Field Findings
Abstract Views :259 |
PDF Views:104
Authors
Goutham Krishna Teja Gunda
1,
A. Sridhar
2,
Mamta Chauhan
1,
Mijanur Ansary
1,
Prakash Chauhan
1,
R. Sudhakar Goud
3,
G. Udaya Laxmi
4,
S. Balaji
5
Affiliations
1 Geosciences and Disaster Management Studies Group, Indian Institute of Remote Sensing (ISRO), Dehradun 248 001, IN
2 Centre of Exploration Geophysics, Department of Geophysics, Osmania University, Hyderabad 500 007, IN
3 Department of Geoinformatics, Telangana University, Nizamabad 503 322, IN
4 Centre of Exploration Geophysics, Department of Geophysics, Osmania University, Hyderabad 500 007, IN
5 Department of Disaster Management, Pondicherry University, Port Blair 744 101, IN
1 Geosciences and Disaster Management Studies Group, Indian Institute of Remote Sensing (ISRO), Dehradun 248 001, IN
2 Centre of Exploration Geophysics, Department of Geophysics, Osmania University, Hyderabad 500 007, IN
3 Department of Geoinformatics, Telangana University, Nizamabad 503 322, IN
4 Centre of Exploration Geophysics, Department of Geophysics, Osmania University, Hyderabad 500 007, IN
5 Department of Disaster Management, Pondicherry University, Port Blair 744 101, IN
Source
Current Science, Vol 123, No 2 (2022), Pagination: 143-144Abstract
No abstract.Keywords
No keywords.Full Text
References
- Sheth, H. C., Ray, J. S., Kumar, A., Bhu-tani, R. and Awasthi, N., J. Volcanol. Geo-therm. Res., 2011, 202, 73–82.
- Sheth, H., J. Volcanol. Geotherm. Res., 2014, 289, 64–80.
- Gunda, G. K. T. et al., Curr. Sci., 2021, 121(4), 529–538.
- Gunda, G. K. T., Ray, P. K. C., Chauhan, M., Chauhan, P. and Balaji, S., J. Earth Syst. Sci., 2021, 130(162); doi:10.1007/ s12040-021-01624-z.
- Gunda, G. K. T., Champatiray, P. K., Chauhan, M. and Chauhan, P., Curr. Sci., 2020, 118, 1874–1876.
- Martha, T., Roy, P. and Vinod Kumar, K., Bull. Volcanol., 2018, 80; doi:10.1007/ s00445-017-1190-0.
- Banerjee, B. et al., Earth Planets Space, 50(4), 327–338.
- Mitchell, A. H. G., Tectonophysics, 1985, 116(3–4), 323–334.
- Halder, D., Laskar, T., Bandopadhyay, P. C., Sarkar, N. K. and Biswas, J. K., J. Geol. Soc. India, 1992, 39, 411–419.
- Bandopadhyay, P. C. and Carter, A., In The Andaman–Nicobar Accretionary Ridge: Geology, Tectonics and Hazards (eds Ban-dopadhyay, P. C. and Carter, A.), Geologi-cal Society of London Memoirs, 47, 2017, pp. 75–93; https://doi.org/10.1144/M47.