Himanshu Dave - Academia.edu (original) (raw)

Papers by Himanshu Dave

International Journal of Contemporary Pediatrics

Incontinentia pigmenti (IP) is a rare X linked dominant genetic multisystem neurocutaneous disord... more Incontinentia pigmenti (IP) is a rare X linked dominant genetic multisystem neurocutaneous disorder that may affect many organs including the skin, bone, eyes and the central nervous system. Central nervous system manifestations are seen in 30%-40% of cases with seizures and mental retardation. Seizures as the presenting sign of IP in neonates are rarely reported. We report a case of a female newborn with IP who had pleomorphic skin rashes and erythematous vesicles over upper and lower extremities since 5th day of life which were followed by seizures on day 22nd of life. With this case report, we would like to emphasize the need for inclusion of IP in the differential diagnosis of neonatal seizures and to confirm diagnosis of all such unusual skin lesions histologically.

Journal of Applied Remote Sensing

Journal of Fluid Mechanics

IEEE Transactions on Geoscience and Remote Sensing

... 11 1.3 First normal stress difference versus shear stress: (A) HDPE, Mw/Mn = 16, (B) HDPE, Mw... more ... 11 1.3 First normal stress difference versus shear stress: (A) HDPE, Mw/Mn = 16, (B) HDPE, Mw/Mn = 84 and (C) LDPE, Mw/Mn = 20 (from Han [40]). . . ... Several researchers have questioned the solution of this inverse problem owing to the ill-posedness of the calculation. ...

With an ever increasing emphasis on reducing costs and improving quality control, the application... more With an ever increasing emphasis on reducing costs and improving quality control, the application of advanced process control in the bulk chemical and petrochemical industry is steadily rising. Two major areas of development are model-based control strategies and process sensors. This study deals with the application of multivariate statistical techniques for developing soft-sensors in an inferential model predictive control framework. McAvoy [31] has proposed model predictive statistical process control (MP-SPC), a principal component (PC) score control methodology. MP-SPC was found to be very effective in reducing the variability in the quality variables without using any real-time, on-line quality or disturbance measurements. This work extends McAvoy's [31] formulation to incorporate multiple manipulated variables and demonstrates the controller's performance under different disturbance scenarios and for an additional case study. Moreover, implementation issues critical to the success of the formulations considered such as controller tuning, measurement selection and model identification are also studied. A key feature is the emphasis on confirming the consistency of the cross-correlation between the selected measurements and the quality variable before on-line implementation and that between the scores and the quality variables after on-line implementation. An analysis of the controller's performance in dealing with disturbances of different frequencies, sizes and directions, as well as non-stationarities in the disturbance, reveals the robustness of the approach. The penalty on manipulated variable moves is the most effective tuning parameter. A unique scheme, developed in this study, takes advantage of the information contained in historical databases combined with plant testing to generate collinear PC score models. The proposed measurement selection algorithm ranks measurements that have a consistent cross-correlation with the quality variable according to their cross-correlation coefficient and lead time. Higher ranked variables are chosen as long as they make sufficiently large contributions to the PC score model. Several approaches for identifying dynamic score models are proposed. All approaches put greater emphasis on short term predictions. Two approaches utilize the statistics associated with the PC score models. The Hotelling's T 2 statistic and the Q-residual information may be used to remove outliers during pre-processing or may be incorporated as sample weights.

Paripex Indian Journal of Research, Apr 1, 2013

Combustion and Flame, 2016

Interactions of turbulence, molecular and energy transport coupled with chemistry play a crucial ... more Interactions of turbulence, molecular and energy transport coupled with chemistry play a crucial role in the evolution of flame surface geometry, propagation, annihilation and local extinction/re-ignition characteristics of intensely turbulent premixed flames. This study seeks to understand how these interactions affect flame surface annihilation of lean hydrogen-air premixed turbulent flames. Direct numerical simulations (DNS) are conducted with detailed reaction mechanism and transport properties for hydrogen-air flames, at different parametric conditions. Flame particle tracking (FPT) technique is used to follow specific flame surface segments. An analytical expression for the local displacement flame speed (S d) of a temperature isosurface is considered and the contributions of transport, chemistry and kinematics on the displacement flame speed at different turbulence-flame interaction conditions are identified. In general, the displacement flame speed for the flame particles is found to increase with time for all conditions considered. This is because, eventually all flame surfaces and their resident flame particles approach annihilation by reactant island formation at the end of stretching and folding processes induced by turbulence. Principal curvature evolution statistics obtained using FPT suggest that these islands are ellipsoidal on average, enclosing fresh reactants. Further examinations show that the increase in S d is caused by the increased negative curvature of the flame surface and eventual homogenization of temperature gradients, as these reactant islands shrink due to flame propagation and turbulent mixing. Finally, the evolution of the normalized, averaged, displacement flame speed vs. stretch Karlovitz number was found to collapse on a narrow band, suggesting that a unified description of flame speed dependence on stretch rate may be possible in the Lagrangian description.