Adam’s Bridge is a submerged ridge connecting India and Sri Lanka, generally regarded as a chain of shoals extending for ~ 29 km from Dhanushkodi on the Indian side to Talaimannar Island of Sri Lanka. A high-resolution digital bathymetric elevation model generated using the seafloor returned...
showthemajorrelieffeaturesandriversofIndiaonanoutlinemapofthe country; comparetheHimalayanriverswiththoseofthepeninsularIndia; concludethatIndia’srichanddiversecultureistheresultofitsvariedphysi- calfeatures; explainhowdifferentphysiographicdivisionsareeconomicallycomplemen- tarytoeachother. 16 INDIA-PHYSICALFEATURES ...
The geophysical event was low-risk in terms of the expected frequency of the earthquake and tsunami, but the high concentration of people settled along the coastlines of India, Indonesia, Malaysia, Sri Lanka, and Thailand demonstrate the need to incor- porate exposure into the risk equation (...
9.1.3 Outline of This Chapter A defining property of physics-based methods is the underlying analytic models and their assumptions. The most widely used models will be introduced in Sect. 9.2. The models are divided into two parts: geometric and optical models are introduced in Sect. 9.2.1,...
Quality standards lead to a high amount of potato-based side streams or residuals, which in part are determined by the potato processing industry. For instance, PepsiCo has specific processing quality parameters in their potato crisp processing manufacturing in India to control, amongst others, ...
The authors outline scenarios in which interconnected cars’ unused communication and processing capability could be used to fill the role of FC structures. After that, the authors provide a SOA for FC-based Big Data Analytics in ITS systems. The authors also go through the potential drawbacks ...
In the QE process, no hadrons are produced and the final-state lepton takes away most of the energy of the incident neutrino. A C++ code developed by the collaboration using the GEANT4-based [37] simulation toolkit, containing the full ICAL detector geometry, magnetic field map and RPC ...
In the following, we provide an overview of the most-used machine-learning and deep-learning models and outline their use for physical layer-based authentication. 6.1. Convolutional Neural Networks Convolutional Neural Network (CNN) are one of the most fundamental architectures in the field of deep...
We consider the cyber and physical sub-infrastructures consisting entirely of cyber and physical components, respectively. Disruptions to either could disrupt the entire infrastructure. Let 𝑃𝐶𝑃 denote the survival probability of the infrastructure, and 𝑃𝐶 and 𝑃𝑃 denote the marginal ...
A Deep Learning Approach Subramaniyaswamy Vairavasundaram 1,*, Vijayakumar Varadarajan 2,3,* , Deepthi Srinivasan 1, Varshini Balaganesh 1, Srijith Bharadwaj Damerla 1, Bhuvaneswari Swaminathan 1 and Logesh Ravi 4,5 1 School of Computing, SASTRA Deemed University, Thanjavur 613401, India; skde...