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Sundar, R.
- Signatures of very Severe Cyclonic Storm Phailin in Met-Ocean Parameters Observed by Moored Buoy Network in the Bay of Bengal
Abstract Views :293 |
PDF Views:127
Authors
R. Venkatesan
1,
Simi Mathew
1,
J. Vimala
1,
G. Latha
1,
M. Arul Muthiah
1,
S. Ramasundaram
1,
R. Sundar
1,
R. Lavanya
1,
M. A. Atmanand
1
Affiliations
1 National Institute of Ocean Technology, Velachery–Tambaram Main Road, Pallikaranai P.O., Chennai 600 100, IN
1 National Institute of Ocean Technology, Velachery–Tambaram Main Road, Pallikaranai P.O., Chennai 600 100, IN
Source
Current Science, Vol 107, No 4 (2014), Pagination: 589-595Abstract
The moored buoy network deployed in the Bay of Bengal played a critical role in the collection and transmission of surface meteorological and oceanographic conditions in real time through satellite telemetry, enabling constant monitoring of the cyclone Phailin. It is the first report of in situ timeseries measurement of a very low pressure taken during cyclones in the northern Indian Ocean. The BD10 buoy recorded a minimum atmospheric pressure of 920 hPa, which happened to be within the eye of the cyclone. This article presents an account of important changes that were observed in the surface meteorological and oceanographic parameters under the influence of the very severe cyclonic storm Phailin. An attempt has been made to understand the role of stratification in intensifying the cyclone Phailin in comparison with the cyclone Lehar which weakened in the ocean itself, based on subsurface data from the moored buoys which were on the track of the respective cyclones. Both the cyclones traversed across the Bay of Bengal in a similar way and the buoys were very close to the cyclone track withstood the rough sea conditions during the storms with their specially designed body. The BD09 buoy which happened to be on the right side of the track of cyclone Phailin moved in a circular path as a result of the inertial oscillation forced by the strong cyclonic winds.Keywords
Cyclonic Storm, Met-Ocean Parameters, Moored Buoy, Real-Time Observations.- Efficient Multi Path Transmission based on Load Sharing Metrics Instead of Load Balancing in Manet
Abstract Views :189 |
PDF Views:0
Authors
R. Sundar
1,
A. Kathirvel
2
Affiliations
1 Department of Computer Science and Engineering, Sathyabama University, Chennai - 600119, Tamil Nadu, IN
2 Department of Computer Science and Engineering, AIHT, Chennai - 603103, Tamil Nadu, IN
1 Department of Computer Science and Engineering, Sathyabama University, Chennai - 600119, Tamil Nadu, IN
2 Department of Computer Science and Engineering, AIHT, Chennai - 603103, Tamil Nadu, IN
Source
Indian Journal of Science and Technology, Vol 9, No 35 (2016), Pagination:Abstract
Objectives: Manet is self configuring networks, in which a packet may be transmitted from source to destination through intermediate mobile nodes. Each intermediate node performs routing the packet to next neighbor node based on the routing information until it reaches the destination node. Methods: Ad hoc On-Demand Multipath Distance Vector (AOMDV) used to determine the multiple paths for the data transmission from source to the destination. The transmission delay may be reduced on distributed to multipath using load balancing technique in an equal fashion .This technique may not balance the load all times due to high traffic and more congestion. In the existing system the multipath transmission involves distributing packets along the equal fashion. Finding: Our proposed system the packets are transmitted in unequal fashion it will balance at all time, it’s more packets are routed in less delay or heavy traffic are routed in less packets in metric based path are selected. Conclusion/Application: So this load sharing technique will minimize the delay and reduce the congestion.Keywords
AOMDV, Load Balance, Load Sharing, Metric.- Cyclone Amphan: Oceanic Conditions Pre- and Post-Cyclone using in situ and Satellite Observations
Abstract Views :182 |
PDF Views:107
Authors
Suchandra A. Bhowmick
1,
Neeraj Agarwal
1,
Rashmi Sharma
1,
R. Sundar
2,
R. Venkatesan
2,
C. Anoopa Prasad
1,
K. N. Navaneeth
1
Affiliations
1 Space Applications Centre, Indian Space Research Organization, Ahmedabad 380 015, IN
2 National Institute of Ocean Technology, MOES, Chennai 600 100, IN
1 Space Applications Centre, Indian Space Research Organization, Ahmedabad 380 015, IN
2 National Institute of Ocean Technology, MOES, Chennai 600 100, IN
Source
Current Science, Vol 119, No 9 (2020), Pagination: 1510-1516Abstract
Amphan, a category-5 tropical cyclone, originated over Bay of Bengal (BoB) and had a landfall in West Bengal, India on 20 May, causing havoc in the region. In this study, in-situ buoy and various satellite measurements are used to analyse the ocean condition before and after the storm, primarily from the air–sea interaction perspective. Widespread anomalous warming was observed in BoB before the event, due to high net surface insolation received by the ocean. The warm SST anomalies in the central BoB were coincident with anti-cyclonic warm core eddies, implying availability of higher oceanic heat content. Observations from BD13 buoy, close to the cyclone track showed heating of the overlying atmosphere due to this ocean warming. Strong surface cooling was observed after passage of the cyclone due to wind induced upper-ocean mixing that is stimulated by low stratification in BoB.Keywords
Air–Sea Interaction, Oceanic Conditions, Satellite and In situ Observations, Tropical Cyclones.- A Deep Learning Based Analysis of Oil Spilled Images To Minimize Pollution in Marine Environment
Abstract Views :102 |
PDF Views:0
Authors
Affiliations
1 Department of Computer Science and Engineering, Veltech High Tech Dr.Rangarajan Dr.Sakunthala Engineering College, India., IN
2 Department of Computer Science and Engineering, Tagore Engineering College, India., IN
3 Department of Marine Engineering, AMET Deemed to be University, India., IN
1 Department of Computer Science and Engineering, Veltech High Tech Dr.Rangarajan Dr.Sakunthala Engineering College, India., IN
2 Department of Computer Science and Engineering, Tagore Engineering College, India., IN
3 Department of Marine Engineering, AMET Deemed to be University, India., IN
Source
ICTACT Journal on Image and Video Processing, Vol 13, No 3 (2023), Pagination: 2914-2920Abstract
The rising demand for oil and increased shipping capacity are significant contributors to the pollution of the world seas and oceans that is caused by human activity. Oil spills on the world waterways are another major cause of this pollution. Because of the growing demand for oil and the capability of the maritime transport industry, oil spills on seas and oceans have become a significant source of pollution in recent years. It is of the utmost importance that oil spills are constantly monitored and that measures are taken to clean them up as quickly as is humanly possible. This is since oil spills can have devastating effects not only on the local ecosystem but also on the economies of states that are located along the shore. Because of the ongoing threats that are posed to marine life, biodiversity, and habitats, it is of the utmost importance to be able to keep a watch on oil spills from a distance, recognise them, and take action to clean them up. This is essential. In the past ten years, developments in remote sensing data collection, computing capability, cloud computing infrastructure, and cuttingedge SqueezeNet algorithms have led to significant advancements in oil spill detection. These developments have been responsible for most of the progress. These technological advancements have made it possible to identify oil spills more accurately.Keywords
Oil Spill, Shipping, Pollution, SqueezeNet.References
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