186 research outputs found
Characterization of electromagnetohydrodynamic transport of power law fluids in microchannel
No full textWe characterize, electrokinetically modulated axial pressure driven transport of a power-law fluid through microchannel in the presence of superimposed magnetic field. We obtain solutions for streaming potential, velocity, and temperature fields owing to a combined interplay of the flow rheology, kinematics, influences of finite ion sizes (steric effect), and the electromagnetohydrodynamics. Our results demonstrate that giant augmentations in the energy conversion efficiency and streaming potential field may be achieved for shear thickening fluids in the presence of superimposed magnetic field. Our analysis reveals that heat transfer rate can be amplified by enhancing magnetic field magnitude and the power law behavioural indices. We, further, carried out an exergy analysis for an optimal process design via reducing irreversibilities in terms of ``entropy generation analysis''. We found that the total irreversibilities of the system decreases with increasing the values of power law index. We believe that the inferences obtained from the present research may be useful in the design of advanced energy efficient devices, smart sensors, etc., with optimal combinations of power law rheology and magnetohydrodynamic influences
Electromagnetohydrodynamic Control and Energy Conversion in Narrow Fluidic Devices: A Theoretical Perspective
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Recent advances in the use of acoustics across the frequency spectrum in the oil and gas industry
No full textOrchestration and governance in digital platform ecosystems: a literature review and trends
No full textPurpose: Because of the attention increasingly being focused on digital transformation, interest in business models of platform-enabled ecosystems is rising rapidly. Although there are different theoretical views on the role of ecosystems, a synthesis of research, with a focus on governance and orchestration in dynamic, multi-industry eco-systems, is lacking. Design/methodology/approach: A systematic literature review was conducted by following a rigorous search protocol in the scholarly databases covering both journal articles and conference papers These papers were subsequently filtered, and finally, 48 relevant papers were selected for analysis. Findings: The review identifies five key aspects of platform governance design that need close consideration: the meta-organisation or ecosystem design, coordination mechanisms, mechanisms for value co-creation, value appropriation mechanisms and architectural principles. To achieve balance among a set of competing demands, platform leaders need to devote adequate attention to these aspects. Practical implications: Based on a literature review, the authors provide an overview of underlying theoretical views, research methods and key trends to develop a sound theoretical grounding for research on platform governance design. The paper also suggests research gaps in the existing literature and sets directions for researchers to strengthen the understanding of effective platform governance design. The paper also provides valuable information to managers in developing or leading a successful platform ecosystem. Originality/value: The paper uses existing literature published in this topic and original in nature.</p
Influence of combined electromagnetohydrodynamics on microchannel flow with electrokinetic effect and interfacial slip
No full textWe investigate analytically the combined consequences of electromagnetohydrodynamic forces and interfacial slip on streaming potential mediated pressuredriven flow in a microchannel. Going beyond traditional Debye-Huckel limit, we first derive a closed-form analytical solution for velocity field by considering nonlinear electrical potential distribution, wall slip effects, externally imposed transverse magnetic field, and laterally applied electric field in the plane of flow. The effects of electrical double-layer (EDL) formation and the consequent interfacial phenomena are critically examined under such situations. An expression for induced streaming potential in the microchannel is deduced considering EDL formation and the consequences of finite conductance of the immobilized Stern layer. This simplified analytical expression is later on critically assessed against three-dimensional simulation paradigm of streaming potential mediated flows, which is a first effort of this kind. We demonstrate that flow rate increases progressively with increasing surface potential and eventually approaches to a limiting value. Combination of electromagnetohydrodynamic effect with liquid slip is shown to amplify the flow rate, even at lower values of surface potential. Our study brings out the possibility of achieving an optimum flow rate by judicious application of combined electromagnetohydrodynamics. The present analysis has significant consequence in the design of advanced microfluidic devices with improved efficiency and functionality
HotDash: Hotspot Aware Adaptive Video Streaming Using Deep Reinforcement Learning
No full textA large fraction of video content providers have adopted adaptive bitrate streaming over HTTP. The client player typically runs an adaptive bitrate (ABR) algorithm to decide upon the most optimal quality for the next few seconds of video playback. State-of-the-art ABR algorithms attempt to achieve an optimal trade-off among the competing objectives of high bitrate, less rebuffering, and high smoothness, in the face of unpredictable bandwidth variability. However, optimal bandwidth utilization does not necessarily ensure high quality of experience (QoE). Different users have different content preferences even within the same video, due to differences in team loyalties (in sport), character preferences (in movies and soaps), and so on. In this work, we present HotDASH, a system which enables opportune prefetching of user-preferred temporal video segments (called hotspots). HotDASH implements a prefetch module in the open source DASH player dash.js, which is powered by an optimal prefetch and bitrate decision engine. The decision engine is designed as a cascaded reinforcement learning (RL) model, implemented using a state-of-the-art actor-critic RL algorithm over a neural network. We train the neural network using trace-driven simulations over a large variety of bandwidth conditions. HotDASH outperforms all baseline algorithms, with a 16.2% QoE improvement over the best-performing baseline, and achieves 14.31% better average bitrate due to its ability to prefetch opportunistically
Magnetohydrodynamic stationary and oscillatory convective stability in a mushy layer during binary alloy solidification
No full textFor the case of solidification of a bottom cooled binary alloy, the magnetohydrodynamic stationary and oscillatory convective stability in the mushy layer is investigated analytically using normal mode linear stability analysis. In the limit of large Stefan number (S-t), a near-eutectic approximation with large far field temperature is considered in the present research. To ascertain the instability in the mushy layer, the strength of the superimposed magnetic field is so chosen that it corresponds to a given mush Hartmann number (Ha(m)) of the problem. The results are presented for various values of mush Hartmann numbers in the range, 0 <= Ha(m) <= 50. The critical Rayleigh number for stationary convection shows a linear relationship with increasing Ha(m). The magnetohydrodynamic effect imparts a stabilizing influence during stationary convection. In comparison to that of the stationary convective mode, the oscillatory mode appears to be critically susceptible at higher values of beta (beta=S-t/(sic)(2) Y-2 , (sic) is the compositional ratio, Y=1 +S-t/(sic)), and vice versa for lower beta values. Analogous to the behavior for stationary convection, the magnetic field also offers a stabilizing effect in oscillatory convection and thus influences global stability of the mushy layer. Increasing magnetic strength shows reduction in the wavenumber and in the number of rolls formed in the mushy layer. (C) 2017 Elsevier Inc. All rights reserved
The Theme of Betrayal in Tagore’s Home and The World
Get PDFRabindranath Tagore was a prolific author who earned name and fame worldwide for his contribution in literature. Tagore depicts the different shades of man’s life through the characters of his novels. Tagore touches the different issues like : the struggle for freedom, the existence of good and evil of the world. Tagore’s The Home and the World deals with the theme of betrayal and the relationship of husband and wife and how the wife realizes her mistake at the end of the novel This paper is a sincere effort to display how the betrayal of Bimala effects Nikhil’s life and how she is deceived by her idol Sandip
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