29 research outputs found
Low-complexity convolutional neural networks for automatic target recognition
No full textOver the decades, several algorithms have been proposed for designing automatic target recognition systems based on synthetic aperture radar imagery. Recently, with the rise of Deep Learning, there has been growing interest in developing neural network based automatic target recognition systems for synthetic aperture radar applications. However, these networks are typically complex in terms of storage and computation which inhibits their deployment in the field, where such resources are heavily constrained.
In order to reduce the cost of implementing these networks, in this thesis we develop a set of compact network architectures and train them in fixed-point. Our proposed method achieves an overall 984× reduction in terms of storage requirements and 71× reduction in terms of computational complexity compared to state-of-the-art convolutional neural networks for automatic target recognition, while maintaining a classification accuracy of >99% on the MSTAR dataset.Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2022-05-01The student, Hassan Dbouk, accepted the attached license on 2020-03-10 at 11:07.The student, Hassan Dbouk, submitted this Thesis for approval on 2020-03-10 at 11:18.This Thesis was approved for publication on 2020-03-11 at 11:49.DSpace SAF Submission Ingestion Package generated from Vireo submission #14893 on 2020-08-25 at 17:26:59Made available in DSpace on 2020-08-26T23:51:24Z (GMT). No. of bitstreams: 2
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Previous issue date: 2020-03-11Embargo set by: Seth Robbins for item 115700
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Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD systemEmbargo set by: Seth Robbins for item 115700
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Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD systemEmbargo set by: Seth Robbins for item 115700
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Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD systemEmbargo set by: Seth Robbins for item 115700
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Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD systemEmbargo set by: Seth Robbins for item 115700
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Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD systemAuthor requested U of Illinois access only (OA after 2yrs) in Vireo ETD systemU of I Onl
The synergy and co-insurance effect on acquirer bondholders' wealth - by Reine Elias Dagher
No full textProject (M.B.A.)--American University of Beirut, Suliman S. Olayan School of Business, 2010.;"First Reader : Dr. Wassim Dbouk, Assistant Professor, Suliman S. Olayan School of Business--Second Reader : Dr. Samer Saade, Assistant Professor, Suliman S. OlayBibliography : leaves 65-67.To date, finance literature has not presented a conclusive, empirical study on the wealth effects of mergers and acquisitions (MandA's) on the bondholders of the acquirer firms. This research seeks to provide this missing link by statistically examining
A cross country study on the effectiveness of technical indicators in timing the market - by Ziad George El Deek
No full textProject (M.B.A.)--American University of Beirut, Suliman S. Olayan School of Business, 2010.;"First Reader : Dr. Wassim Dbouk, Assistant Professor ,Suliman S. Olayan School of Business--Second Reader : Dr. Samer Saade, Assistant Professor ,Suliman S. OlayBibliography : leaves 66-70.The aim of this paper is to study the ability of technical indicators to forecast future returns from past data. Six indicators are tested on the daily closing prices of the constituents of six different indices with different characteristics (SandP500,
Shear-induced particle migration: Predictions from experimental evaluation of the particle stress tensor
No full textThis paper addresses the modeling of the phenomenon of particle migration in the flow of monodispersed non-colloidal suspensions at neglected inertia using the Suspension Balance Model (SBM). The SBM describes the migration flux of particles as the divergence of the particle stress tensor. It is selected in this work because of its parameters that can be measured experimentally and its capability to quantify well the shear-induced migration phenomenon. A recent experiment [10,11] reported measurements of the different parameters in the SBM, which are used in this work to study their effects on the prediction of the particle migration phenomenon. For that purpose, a two-dimensional solver capable of solving the set of conservation equations of the SBM using the finite volume method is developed within the OpenFOAM® CFD toolbox [34]. The code is validated by simulating the suspension flows in a channel of rectangular cross-section, and in a wide gap Couette cell. Solutions are generated using the newly measured SBM parameters, and results are compared to similar ones obtained using the old SBM parameters. It is found that the new measured parameters have no significant influence on prediction of particle migration as compared to those proposed in the literature. Finally, the SBM is extended to general two-dimensional flows through a frame-invariant formulation that takes into account the local kinematics of the suspension including buoyancy effects. The frame-invariant model is applied to the resuspension and mixing of a monodispersed suspension in a horizontal Couette cell. The predicted results are found to be in good agreement with experimental measurements. © 2013 Elsevier B.V.Bird RB, 1987, DYNAMICS POLYM LIQUI, V1; Blanc F., 2011, PHYS REV LETT OCT; Boyer F., 2011, UNIFYING SUSPENSION; Boyer F., 2011, J FLUID MECH, P272; Brady JF, 1997, J FLUID MECH, V348, P103, DOI 10.1017-S0022112097006320; Chapman BK, 1990, THESIS U NOTRE DAME; Couturier E, 2011, J FLUID MECH, V686, P26, DOI 10.1017-jfm.2011.315; CRANK J, 1947, P CAMB PHILOS SOC, V43, P50; DAVIS RH, 1985, ANNU REV FLUID MECH, V17, P91, DOI 10.1146-annurev.fl.17.010185.000515; Dbouk T., 2012, THESIS U NICE SOPHIA; Dbouk T, 2013, J FLUID MECH, V715, P239, DOI 10.1017-jfm.2012.516; Deboeuf A, 2009, PHYS REV LETT, V102, DOI 10.1103-PhysRevLett.102.108301; Deboeuf A., 2008, THESIS PIERRE M CURI; Drew D. A., 1993, PARTICULATE 2 PHASE; Fang ZW, 2002, INT J MULTIPHAS FLOW, V28, P137, DOI 10.1016-S0301-9322(01)00055-6; GADALAMARIA F, 1980, J RHEOL, V24, P799, DOI 10.1122-1.549584; Gadala-Maria F.A., 1979, THESIS STANFORD U; Goldsmith H.L., 1967, RHEOLOGY THEORY APPL, V4, P86; LEIGHTON D, 1987, J FLUID MECH, V177, P109, DOI 10.1017-S0022112087000880; LEIGHTON D, 1987, J FLUID MECH, V181, P415, DOI 10.1017-S0022112087002155; LEIGHTON D, 1986, CHEM ENG SCI, V41, P1377, DOI 10.1016-0009-2509(86)85225-3; Lhuillier D, 2009, PHYS FLUIDS, V21, DOI 10.1063-1.3079672; Lyon MK, 1998, J FLUID MECH, V363, P25, DOI 10.1017-S0022112098008817; Maron S.H., 1956, J COLLOID SCI, V11, P162; Merhi D, 2005, J RHEOL, V49, P1429, DOI 10.1122-1.2079247; Miller RM, 2006, J NON-NEWTON FLUID, V135, P149, DOI 10.1016-j.jnnfm.2005.11.009; Miller RM, 2009, CHEM ENG SCI, V64, P4597, DOI 10.1016-j.ces.2009.04.033; Miller R.M., 2004, THESIS SCH CHEM BIOM; Morris JF, 2002, PHYS FLUIDS, V14, P1920, DOI 10.1063-1.1476745; Morris JF, 1998, INT J MULTIPHAS FLOW, V24, P105, DOI 10.1016-S0301-9322(97)00035-9; Morris JF, 1999, J RHEOL, V43, P1213, DOI 10.1122-1.551021; Nott PR, 2011, PHYS FLUIDS, V23, DOI 10.1063-1.3570921; NOTT PR, 1994, J FLUID MECH, V275, P157, DOI 10.1017-S0022112094002326; Patankar S. V., 1980, NUMERICAL HEAT TRANS; PHILLIPS RJ, 1992, PHYS FLUIDS A-FLUID, V4, P30, DOI 10.1063-1.858498; Rao R, 2002, INT J NUMER METH FL, V39, P465, DOI 10.1002-fld.246; RHIE CM, 1983, AIAA J, V21, P1525, DOI 10.2514-3.8284; Richardson J.F., 1954, T I CHEM ENG-LOND, V32, P35; Ryssel E, 1999, J NON-NEWTON FLUID, V86, P309, DOI 10.1016-S0377-0257(99)00003-8; SCHAFLINGER U, 1990, INT J MULTIPHAS FLOW, V16, P567, DOI 10.1016-0301-9322(90)90017-D; Schunk P.R., 1990, J RHEOL, V34; Sierou A, 2002, J RHEOL, V46, P1031, DOI 10.1122-1.1501925; Singh A, 2003, J FLUID MECH, V490, P293, DOI 10.1017-S0022112003005366; Yeo K, 2010, J COMPUT PHYS, V229, P2401, DOI 10.1016-j.jcp.2009.11.041; Yeo K., 2010, J FLUID MECH, V649; Yurkovetsky Y, 2008, J RHEOL, V52, P141, DOI 10.1122-1.2807443; Zarraga IE, 2000, J RHEOL, V44, P185, DOI 10.1122-1.5510832
Morphing optimization of flow and heat transfer in concentric tube heat exchangers
No full textInternational audienceConcentric tube heat exchangers are vital in various industrial applications, including chemical, process, energy, mechanical, and aeronautical engineering. Advancements in heat transfer efficiency present a significant challenge in contemporary research and development. This study concerns optimizing flow and heat transfer in concentric tube heat exchangers by morphing the tube's walls. The adjoint shape optimization approach is implemented in a fully turbulent flow regime. The effect of inner tube deformation on flow physics and heat transfer is examined. The results show that morphing can lead to a 54% increase in the heat transfer rate and a 47% improvement in the overall heat transfer coefficient compared to straight concentric tube designs. Moreover, the thermal-hydraulic performance factor is calculated to account for the relative increase in heat transfer when the optimal and initial designs are operated under the same pumping power. A thermal-hydraulic performance factor of 1.2 is obtained for the new design, showing that the heat transfer enhancement caused by morphing the tube's walls outweighs the increase in pumping power. The physics of a radial flow, resulting from an adverse pressure gradient in an annular region caused by the successive inner tube deformation, significantly augments heat transfer. This study shows morphing can lead to higher thermal efficiencies, and numerical optimization can assist in achieving this goal
Thermo-hydraulic performance of concentric tube heat exchangers with turbulent flow: Predictive correlations and iterative methods for pumping power and heat transfer
No full textInternational audienc
Surrogate-based optimization of the attack and inclination angles of a delta winglet pair vortex generator in turbulent channel flow
No full textInternational audienc
Advancing thermal performance through vortex generators morphing
No full textThe design of rigid vortex generators (RVG) influences the thermal performance of various technologies. We employed Discrete Adjoint-Based Optimization to show the optimal development of vortex generators. Under turbulent flow conditions, different bi-objective functions on the RVG design were examined. Specifically, we aimed at an optimal RVG shape that minimizes the pressure drop and maximizes the local heat transfer in a rectangular channel. We show that an optimal design of an RVG can be obtained using computational fluid dynamics in conjunction with the Pareto Front at a computational cost of the order ~[Formula: see text] . We obtained three essential vortex generator shapes based on the RVG morphing technique. Compared to the baseline geometry of a delta winglet pair DWP, the first morphed design reduced the pressure drop by [Formula: see text] , however, at the expense of a [Formula: see text] reduction in the Nusselt number. The second vortex generator design enhanced the heat transfer by [Formula: see text] , however, at the cost of a significant increase in pressure drop of about [Formula: see text] . The final morphed design achieved the highest thermal performance factor of 1.28, representing a heat transfer enhancement of [Formula: see text] with a moderate increase in pressure drop of about [Formula: see text] compared to DWP vortex generators. Furthermore, we investigated the effect of introducing different size holes on the mass reduction of vortex generators and their thermal performances. The mass of vortex generators can be reduced by [Formula: see text] and with an increase of [Formula: see text] in thermal performance factor concerning the DWP baseline. The findings of this study will lead to highly efficient lightweight heat exchangers
Risk assessment of pollen allergy in urban environments
No full textAccording to WHO, by 2050, at least one person out of two will suffer from an allergy disorder resulting from the accelerating air pollution associated with toxic gas emissions and climate change. Airborne pollen, and associated allergies, are major public health topics during the pollination season, and their effects are further strengthened due to climate change. Therefore, assessing the airborne pollen allergy risk is essential for improving public health. This study presents a new computational fluid dynamics methodology for risk assessment of local airborne pollen transport in an urban environment. Specifically, we investigate the local airborne pollen transport from trees on a university campus in the north of France. We produce risk assessment maps for pollen allergy for five consecutive days during the pollination season. The proposed methodology could be extended to larger built-up areas for different weather conditions. The risk assessment maps may also be integrated with smart devices, thus leading to decision-aid tools to better guide and protect the public against airborne pollen allergy
Topology optimization of rectangular parallel plate heat exchanger unit
No full textInternational audienc
