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Institution

Christ University

EducationBengaluru, India
About: Christ University is a education organization based out in Bengaluru, India. It is known for research contribution in the topics: Computer science & Convection. The organization has 2267 authors who have published 2715 publications receiving 14575 citations. The organization is also known as: Christ College & Christ University.


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Book ChapterDOI
01 Jan 2021
TL;DR: In this paper, the authors extended the study of intelligent IDEs to the IoT environment context, and explored the IDE for Internet of things (IoT), with focus on open source ecosystem.
Abstract: With various challenging areas as the focus in software development, statistical modelling for software source code tries to derive the knowledge hidden in various software artifacts including code and text and help building robust systems which are intelligent. Integrated Development Environment (IDE) is one area of focus in the domain. Since this provides platform for entire software development processes, it plays key role. In this chapter, study of intelligent IDEs is extended to IoT environment context. To begin with, we focus our study on understanding the IDEs and their capability. Exploration will focus on open-source IDE for mobile, and we look for better understanding the landscape so that we can extend the learning to the IoT world. In this work, building low cost IDE for mobile is focused open. Also, interestingly, exploration focuses on open-source components and possibility of putting them together. Then, in next part, we explore the IDE for Internet of things (IoT), with focus on open source ecosystem. In this review, we extend the exploration of IoT in to device management, data management, communication, intelligent data processing, security and privacy, and application deployment areas. This gives a greater insight in to the IoT world to extend the need of intelligent IDEs to IoT world. Then, to get the context of IDE in the machine learning context, we explore the topic of building optimal IDE for feature engineering which is one of the key phases in machine learning life cycle. Since machine learning projects are highly data-oriented eco system, learning of IDE and its insights in this area will provide rich insights in to the main theme of discussion which is intelligent IDE for IoT eco system.

8 citations

Book ChapterDOI
01 Jan 2021
TL;DR: In this paper, a moth flame optimization (MFO) technique is proposed for a multi-area interrelated power system with a deregulated state with multi-sources of generation.
Abstract: In this paper, a novel nature motivated optimization technique known as moth flame optimization (MFO) technique is proposed for a multi-area interrelated power system with a deregulated state with multi-sources of generation. A three-area interrelated system with multi-sources in which the first area consists of the thermal and solar thermal unit; the second area consists of hydro and thermal units. The third area consists of gas and thermal units with AC/DC link. System performances with various power system transactions under deregulation are studied. The dynamic system executions are compared with diverse techniques like particle swarm optimization (PSO) and differential evolution (DE) technique under poolco transaction with/without AC/DC link. It is found that the MFO tuned proportional-integral-derivative (PID) controller superior to other methods considered. Further, the system is also studied with the addition of physical constraints. The present analysis reveals that the proposed technique appears to be a potential optimization algorithm for AGC study under a deregulation environment.

8 citations

Journal ArticleDOI
TL;DR: In this article, it was shown that a Riemannian manifold equipped with a concurrent-recurrent vector field is of constant negative curvature when its metric is a Ricci soliton.
Abstract: In this paper, we initiate the study of impact of the existence of a unit vector $$ u $$ , called a concurrent-recurrent vector field, on the geometry of a Riemannian manifold. Some examples of these vector fields are provided on Riemannian manifolds, and basic geometric properties of these vector fields are derived. Next, we characterize Ricci solitons on 3-dimensional Riemannian manifolds and gradient Ricci almost solitons on a Riemannian manifold (of dimension n) admitting a concurrent-recurrent vector field. In particular, it is proved that the Riemannian 3-manifold equipped with a concurrent-recurrent vector field is of constant negative curvature $$-\alpha ^2$$ when its metric is a Ricci soliton. Further, it has been shown that a Riemannian manifold admitting a concurrent-recurrent vector field, whose metric is a gradient Ricci almost soliton, is Einstein.

8 citations

Journal ArticleDOI
TL;DR: In this article, the effects of electric field and non-uniform basic temperature gradient on the onset of Rayleigh-Benard convection in a micropolar fluid are studied using the Galerkin technique.
Abstract: The effects of electric field and non-uniform basic temperature gradient on the onset of Rayleigh-Benard convection in a micropolar fluid are studied using the Galerkin technique. The eigenvalues are obtained for free-free, rigid-free and rigid-rigid velocity boundary combinations and for isothermal and/or adiabatic temperature boundaries. The microrotation is assumed to vanish at the boundaries. A linear stability analysis is performed. The influence of various micropolar fluid parameters and electric Rayleigh number on the onset of convection has been analyzed. One linear and five non-uniform temperature profiles are considered and their comparative influence on onset is discussed.

8 citations


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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202371
2022172
2021795
2020479
2019360
2018239