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Institution

Indian Institute of Technology Indore

EducationIndore, Madhya Pradesh, India
About: Indian Institute of Technology Indore is a education organization based out in Indore, Madhya Pradesh, India. It is known for research contribution in the topics: Fading & Support vector machine. The organization has 1606 authors who have published 4803 publications receiving 66500 citations.


Papers
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Journal ArticleDOI
TL;DR: In this paper, the convective heat transfer characteristics of Al 2 O 3 /water and CNT/water nanofluids through uniformly heated horizontal circular tube in transition regime with helical twisted tape inserts are estimated experimentally.
Abstract: The convective heat transfer characteristics of Al 2 O 3 /water and CNT/water nanofluids through uniformly heated horizontal circular tube in transition regime with helical twisted tape inserts are estimated experimentally. Tests were performed with varied range of particle volume concentration (0.15%, 0.45%, 0.60% and 1%) and helical tape inserts of twist ratio (TR) = 1.5, 2.5 and 3. It is observed that the heat transfer performance of both the nanofluids increases with the increase in the particle volume fraction. The CNT/water nanofluids with helical screw tape inserts exhibits higher thermal performance compared to Al 2 O 3 /water nanofluid. The maximum enhancement in heat transfer was obtained by using CNT/water nanofluid ( ϕ = 1%) with helical tape inserts of twist ratio 1.5. For all the twist ratio of helical screw tape inserts the pressure drop for Al 2 O 3 nanofluid with helical screw tape inserts is higher compared to the CNT nanofluid.

53 citations

Journal ArticleDOI
TL;DR: Two online prediction methods for forecasting CP viz., popularity prediction model (PPM) and Grassmannian Prediction model (GPM), where the unconstrained coefficients for linear prediction are obtained by solving constrained non-negative least squares are proposed.
Abstract: Caching popular contents in advance is an important technique to achieve low latency and reduce the backhaul costs in future wireless communications. Considering a network with base stations distributed as a Poisson point process, optimal content placement caching probabilities are obtained to maximize the average success probability (ASP) for a known content popularity (CP) profile, which in practice is time-varying and unknown in advance. In this paper, we first propose two online prediction (OP) methods for forecasting CP viz., popularity prediction model (PPM) and Grassmannian prediction model (GPM), where the unconstrained coefficients for linear prediction are obtained by solving constrained non-negative least squares. To reduce the higher computational complexity per online round, two online learning (OL) approaches viz., weighted-follow-the-leader and weighted-follow-the-regularized-leader are proposed, inspired by the OP models. In OP, ASP difference (i.e, the gap between the ASP achieved by prediction and that by known content popularity) is bounded, while in OL, sub-linear MSE regret and linear ASP regret bounds are obtained. With MovieLens dataset, simulations verify that OP methods are better for MSE and ASP difference minimization, while the OL approaches perform well for the minimization of the MSE and ASP regrets.

53 citations

Journal ArticleDOI
TL;DR: In this article, the dehumidification performance of a counter flow liquid desiccant de-humidifier using structured packing with a high specific surface area (650m2 m−3) was investigated.
Abstract: This paper presents an experimental study on the dehumidification performance of a counter flow liquid desiccant dehumidifier using structured packing with a high specific surface area (650 m2 m−3). New empirical equations correlating the moisture effectiveness and the enthalpy effectiveness with critical inlet parameters are developed, which can be used to conveniently predict the performance of a similar dehumidifier. The empirical correlations are validated using the experimental data of this study, and compared with the experimental data reported by another researcher. The deviations are within ±10% for the former and within ±15% for the latter. The performance of the present type of packing is also compared with other two types of structured packing available in literature. The influences of the inlet conditions of the air and the desiccant as well as the packing height on the dehumidification performance are also investigated and compared with the results reported in previous studies.

53 citations

Journal ArticleDOI
TL;DR: Simulation results validate superiority of the proposed algorithm over the recently reported methods and achieves better performance when the number of users increases.
Abstract: A novel low-complexity iterative sequential detection algorithm is proposed for near-optimal detection in uplink massive multiple-input multiple-output systems. In every iteration of the proposed algorithm, symbol transmitted from each user is detected sequentially while nulling the interference from all the other users. In contrast with recently proposed methods such as polynomial expansion, dual band Newton iteration, and Jacobi iteration, the proposed algorithm performs superior in terms of precision and computational complexity, and achieves better performance when the number of users increases. Simulation results validate superiority of the proposed algorithm over the recently reported methods.

52 citations


Authors

Showing all 1738 results

NameH-indexPapersCitations
Raghunath Sahoo10655637588
Biswajeet Pradhan9873532900
A. Kumar9650533973
Franco Meddi8447624084
Manish Sharma82140733361
Anindya Roy5930114306
Krishna R. Reddy5840011076
Sudipan De549910774
Sudip Chakraborty513439319
Shaikh M. Mobin5151511467
Ashok Kumar5040510001
Ankhi Roy492598634
Aditya Nath Mishra491397607
Ram Bilas Pachori481828140
Pragati Sahoo471336535
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202365
2022253
2021914
2020801
2019677
2018614