Author
Krishna Kundu
Bio: Krishna Kundu is an academic researcher from University of Calcutta. The author has contributed to research in topics: Inertial wave & Fuzzy classification. The author has an hindex of 4, co-authored 8 publications receiving 86 citations.
Papers
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TL;DR: A new relationship is presented between fuzzy concept lattice built from the fuzzy relation and the set of minimal disconnections of the associated fuzzy graph, which is important from the point of view of application and computation.
60 citations
TL;DR: In this paper, the derivation of velocity potentials describing the generation of infinitesimal gravity waves in a motionless liquid with an inertial surface composed of uniformly distributed floating particles, due to fundamental line and point sources with time-dependent strengths submerged in a liquid of finite constant depth, is discussed.
Abstract: This note is concerned with the derivation of velocity potentials describing the generation of infinitesimal gravity waves in a motionless liquid with an inertial surface composed of uniformly distributed floating particles, due to fundamental line and point sources with time-dependent strengths submerged in a liquid of finite constant depth.
14 citations
TL;DR: In this article, the velocity potential due to the presence of a horizontal circular ring of wave sources of time-dependent strength in a fluid of finite constant depth with an inertial surface composed of uniformly distributed floating particles is obtained when the effect of surface tension at the inertial surfaces is included.
7 citations
TL;DR: In this paper, the Laplace transform in time and Weber transform in the radial co-ordinate were used to obtain the velocity potential and hence the inertial surface depression for a vertical circular cylindrical wavemaker immersed in a liquid.
4 citations
Journal Article•
2 citations
Cited by
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TL;DR: Fuzzy competition graph as a generalization of competition graph is introduced here and two generalizations of fuzzy competition graphs as fuzzy k-competition graphs and p-comp competition fuzzy graphs are also defined.
163 citations
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TL;DR: It is shown that an image can be represented by a fuzzy planar graph, and contraction of such animage can be made with the help of a fuzzyPlanar graph.
Abstract: Fuzzy planar graph is a very important subclass of fuzzy graph. In this paper, two types of edges are mentioned for fuzzy graphs: effective edges and considerable edges. In addition, a comparative study between Kuratowski's graphs and fuzzy planar graph is made. A new concept of a strong fuzzy planar graph is introduced. Some related results are established. These results have certain applications in subway tunnels, routes, oil/gas pipelines representation, etc. It is also shown that an image can be represented by a fuzzy planar graph, and contraction of such an image can be made with the help of a fuzzy planar graph.
121 citations
TL;DR: A tensor-based multiple clustering on bicycle renting and returning data is illustrated, which can provide several suggestions for rebalancing of the bicycle-sharing system and some challenges about the proposed framework are discussed.
Abstract: Due to the rapid advances of information technologies, Big Data, recognized with 4Vs characteristics (volume, variety, veracity, and velocity), bring significant benefits as well as many challenges A major benefit of Big Data is to provide timely information and proactive services for humans The primary purpose of this paper is to review the current state-of-the-art of Big Data from the aspects of organization and representation, cleaning and reduction, integration and processing, security and privacy, analytics and applications, then present a novel framework to provide high-quality so called Big Data-as-a-Service The framework consists of three planes, namely sensing plane, cloud plane and application plane, to systemically address all challenges of the above aspects Also, to clearly demonstrate the working process of the proposed framework, a tensor-based multiple clustering on bicycle renting and returning data is illustrated, which can provide several suggestions for rebalancing of the bicycle-sharing system Finally, some challenges about the proposed framework are discussed
121 citations
TL;DR: This work proposes an algorithm for generating the bipolar fuzzy formal concepts, a method for ( α, β ) -cut ofipolar fuzzy formal context and its implications with illustrative examples.
112 citations
TL;DR: In this note, it is shown by examples that Definitions 3.1, 5.6, and 5.7 contain some flaws and then the correct versions are provided and a generalized bipolar fuzzy graph is introduced.
92 citations