KCG College of Technology

About: KCG College of Technology is a based out in . It is known for research contribution in the topics: Computer science & The Internet. The organization has 427 authors who have published 381 publications receiving 2193 citations.

Data Driven Approach For Farm Re-Modeling Using Prediction Analytics

Abstract: The technological advancements in IT has made agriculture industry move towards a sustainable growth. Farming may not sound like an issue we need to care about, but the agriculture industry is in dire need of refinement. Sustaining in agriculture is challenging because of reducing water levels, climate change and shrinking amount of arable land. These after effects can be made approachable using prediction methods. The foremost idea of the prototype is to monitor the large crop area and thereby maintaining it using the sensor enabled IoT technology. The Autopilot drones fly once or twice a week and captured images from the whole farm are also stored. Heat map a feature function of the entire farm which is used to extrapolate the data is analyzed. With this, the data driven approach for re- modeling of the farm is done using Zero- R algorithm and Naive-Bayes algorithm. Visualization and statistical predictions of the data is done using Tableau tool and further analysis using R & Python. The major benefits of providing this real time data analytic prediction help farmers to remodel traditional farming and focus to improve crop quality, potential to increase yields and to overcome uncertainty by this prediction analytic makeover to the agriculture industry.

Numerical Investigation of the Behaviour of Thin-Walled Metal Tubes Under Axial Impact

Abstract: Dynamic axial impact of metallic thin-walled tubes of square and circular hollow sections is performed and the impact responses of the lightweight thin tubes along with progressive deformations are simulated. Peak force, crushing modes and force dissipation ability of tubes are determined using a non-linear finite element tool Abaqus CAE. The effectiveness of Abaqus CAE as a tool to model thin tubes and to moderate experimental crash testing is presented. Study shows that concentrically arranged multiple tubes have higher energy absorption properties. Results reveal that for double tubes and steel–aluminium configuration highest energy absorption is recorded. Similarly, for three tubes and aluminium–steel–aluminium configuration highest energy absorption is recorded. Also simulations disclose that the inner tube influences the overall crush behaviour.

Two-dimensional isochronous nonstandard Hamiltonian systems

Abstract: We identify a generic class of two dimensional nonstandard Hamiltonian systems which exhibit isochronous behaviour. This class of systems belongs to the two dimensional mixed Li\'enard- type equations and is obtained by generalizing the scalar modified Emden equation (MEE) to two dimensions. We show that the generalized class of equations admits a Hamiltonian description and exhibits periodic and quasi-periodic oscillations for suitable choice of parameters and also $\emph PT$ symmetric property.