Abdul Ashu

Abdul Ashu
International Institute of Information Technology, Bhubaneswar | IIIT Bhubaneswar · Department of Computer Science and Engineering

About

9
Publications
4,754
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69
Citations
Citations since 2016
8 Research Items
69 Citations
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20162017201820192020202120220510152025
20162017201820192020202120220510152025

Publications

Publications (9)
Preprint
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A comparative study of the flow hydrodynamics around two cylinders, simulated using Reynolds Averaged Navier Stokes (RANS) and Large Eddy Simulation (LES), are investigated in this paper. Numerical simulation results of the flow field around a single cylinder and side by side cylinders have been carried out using OpenFOAM toolbox for both circular...
Article
Full-text available
Data centers have become an indispensable part of modern computing infrastructures. It becomes necessary to manage cloud resources efficiently to reduce those ever-increasing power demands of data centers. Dynamic consolidation of virtual machines (VMs) in a data center is an effective way to map workloads onto servers in a way that requires the le...
Article
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Abstract: Lattice-based crypto systems are regarded as secure and believed to be secure even against quantum computers. lattice-based cryptography relies upon problems like the Shortest Vector Problem. Shortest Vector Problem is an instance of lattice problems that are used as a basis for secure cryptographic schemes. For more than 30 years now, th...
Chapter
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Hadoop can deal with Zeta-level data, but the huge request for Disk I/O and Network utilization often appears as the limitations in Hadoop. During different job execution phases of Hadoop, the production of intermediate data is enormous, and transferring the same data over the network to the “reduce” process becomes an overload. In this paper, we d...
Conference Paper
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In this paper, we present an abstractive text summa-rization with sentiment classification (ATSS) using the generative adversarial network (GAN). The generative approach of the GAN is an encoder-decoder approach with the bi-direction long short term memory (BiLSTM) and an attention function. The function of the generative approach is to generate th...
Article
In this paper, we investigate an attention function combined with the gated recurrent units (GRUs), named as GRUA, to raise the accuracy of the customer preference prediction. The attention function extracts the important product features by using the time-bias parameter and the term frequency-inverse document frequency (TF-IDF) parameter for recom...
Article
Full-text available
Recommending music based on a user's music preference is a way to improve user listening experience. Finding the correlation between the user data (e.g., location, time of the day, music listening history, emotion, etc.) and the music is a challenging task. In this paper, we propose an emotion-aware personalized music recommendation system (EPMRS)...

Questions

Questions (2)
Question
Like how does the data is stored in different systems in grid environment.
Question
What kind of application mostly use these languages ?

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