4,644 research outputs found
V. K. R. V. Rao, A. M. Khusro, C. H. Hanumantha Rao, P. C. Joshi, K. Krishnamurthy, Ajit K. Das, Inflation and India's economic crisis
No full textÉtienne Gilbert. V. K. R. V. Rao, A. M. Khusro, C. H. Hanumantha Rao, P. C. Joshi, K. Krishnamurthy, Ajit K. Das, Inflation and India's economic crisis. In: Tiers-Monde, tome 15, n°58, 1974. pp. 445-446
Experimental study of the hydrodynamics of an impinging liquid jet
No full textThesis (B.S.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 1989.Includes bibliographical references (leaf 30).by Vittal Krishnamurthy Vasista.B.S
Influence of Decadal Variability of Global Oceans on South Asian Monsoon and ENSO-Monsoon Relation
No full textThis study has investigated the influence of the decadal variability associated with global oceans on South Asian monsoon and El Niño-Southern Oscillation (ENSO)- monsoon relation. The results are based on observational analysis using long records of monsoon rainfall and circulation and coupled general circulation model experiments using the National Center for Atmospheric Research (NCAR) Community Climate System Model (CCSM) version 4 model. The multi-channel singular spectrum analysis (MSSA) of the observed rainfall over India yields three decadal modes. The first mode (52 year period) is associated with the Atlantic Multidecadal Oscillation (AMO), the second one (21 year) with the Pacific Decadal Oscillation (PDO) and the third mode (13 year) with the Atlantic tripole. The existence of these decadal modes in the monsoon was also found in the control simulation of NCAR CCSM4. The regionally de-coupled model experiments performed to isolate the influence of North Pacific and North Atlantic also substantiate the above results. The relation between the decadal modes in the monsoon rainfall with the known decadal modes in global SST is examined. The PDO has significant negative correlation with the Indian Monsoon Rainfall (IMR). The mechanism for PDO-monsoon relation is hypothesized through the seasonal footprinting mechanism and further through Walker and Hadley circulations. The model results also confirm the negative correlation between PDO and IMR and the mechanism through which PDO influences monsoon. Both observational and model analysis show that droughts (floods) are more likely over India than floods (droughts) when ENSO and PDO are in their warm (cold) phase. This study emphasizes the importance of carefully distinguishing the different decadal modes in the SST in the North Atlantic Ocean as they have different impacts on the monsoon. The AMO exhibits significant positive correlation with the IMR while the Atlantic tripole has significant negative correlation with the IMR. The AMO influences the Indian monsoon through atmospheric winds related to high summer North Atlantic Oscillation (NAO) mode leading to enhanced moisture flow over the Indian subcontinent. The Atlantic tripole mode affects the rainfall over India by enhancing the moisture flow through the equatorial westerly winds associated with the NAO. The model also simulates the positive and negative relation of AMO and tripole, respectively, with the monsoon rainfall. The model also indicates the enhanced moisture flow over India related to the positive phase of AMO through the equatorial westerly flow. But, for the tripole mode, the model indicates flow of moisture through the Bay of Bengal in contrast to observations where it is through the Arabian Sea. The reason for the absence of decadal mode in IMR inherent to the Indian Ocean is also explored. The SSA on dipole mode index (DMI) index reveals three modes. The first two modes are related to the biennial and canonical ENSO at interannual timescale while the third mode varies on decadal timescale and is related to PDO. The wind regression pattern associated with the PDO-IOD mode shows northeasterly winds enhancing the southeasterly flow from the southeastern Indian Ocean related to the Indian Ocean dipole (IOD) mode. The model also shows the influence of canonical ENSO and PDO influence on IOD, although the variance explained by PDO mode is lower in the model relative to observations
Probiotics in Caries Prevention
No full textHow to cite this article: Kumar VN, Krishnamurthy M, Poorni S, Patil S, Raj AT. Probiotics in Caries Prevention. J Contemp Dent Pract 2018;19(2):123-124.</jats:p
Blind multiuser detection in multirate CDMA based on cyclic LMS adaptation
No full textThe problem of blind adaptive multiuser detection in multirateCDMA systems is considered. Indeed, since symboldetection in multirate CDMA systems requires periodicallytime-varying processing of the observables, classical LMS and RLSadaptive algorithms, which assume that the solution to be trackedis time-invariant or slowly time-varying, are not suited for blindadaptive multiuser detection in a multirate system. While a cyclicRLS algorithm has recently appeared in the literature, thispaper focuses on the development of LMS-based cyclic filteringalgorithms. In particular, cyclic versions of the standard LMSalgorithm, of the LMS algorithm with iterate averaging and of theLMS algorithm with adaptive step-size are derived. Interestingly,the last two algorithms are shown to exhibit a convergence speed close to thatof the cyclicRLS procedure, but with an order of magnitude lower computationalcomplexity.An adaptive procedure for the automatic selection ofthe algorithm periodicity is also presented, which is based on aminimum mean-output-energy criterion, and that obviates theneed for knowledge of the transmitted data-rates from theinterfering signals.Moreover, the case of known multipathfading channels is also examined. In particular, it is shown that theproposed cyclic LMS algorithms can be used to achieve RLS-likeperformance also in the presence of multipath distortion.Extensive computer simulation results, along with some analytical convergence results, confirmthat the proposed algorithms are effective and achieve very satisfactoryperformance
GPU-accelerated depth map generation for X-ray simulations of complex CAD geometries
No full textInteractive x-ray simulations of complex computer-aided design (CAD) models can provide valuable insights for better interpretation of the defect signatures such as porosity from x-ray CT images. Generating the depth map along a particular direction for the given CAD geometry is the most compute-intensive step in x-ray simulations. We have developed a GPU-accelerated method for real-time generation of depth maps of complex CAD geometries. We preprocess complex components designed using commercial CAD systems using a custom CAD module and convert them into a fine user-defined surface tessellation. Our CAD module can be used by different simulators as well as handle complex geometries, including those that arise from complex castings and composite structures. We then make use of a parallel algorithm that runs on a graphics processing unit (GPU) to convert the finely-tessellated CAD model to a voxelized representation. The voxelized representation can enable heterogeneous modeling of the volume enclosed by the CAD model by assigning heterogeneous material properties in specific regions. The depth maps are generated from this voxelized representation with the help of a GPU-accelerated ray-casting algorithm. The GPU-accelerated ray-casting method enables interactive (> 60 frames-per-second) generation of the depth maps of complex CAD geometries. This enables arbitrarily rotation and slicing of the CAD model, leading to better interpretation of the x-ray images by the user. In addition, the depth maps can be used to aid directly in CT reconstruction algorithms.This proceeding may be downloaded for personal use only. Any other use requires prior permission of the author and AIP Publishing. This proceeding appeared in Grandin, Robert J., Gavin Young, Stephen D. Holland, and Adarsh Krishnamurthy. "GPU-accelerated depth map generation for X-ray simulations of complex CAD geometries." In AIP Conference Proceedings, vol. 1949, no. 1, p. 190002. AIP Publishing LLC, 2018, and may be found at
DOI: 10.1063/1.5031636.
Copyright 2018 Author(s).
Posted with permission
Low-Complexity cyclic blind adaptive algorithms for multiuser detection in multirate DS/CDMA systems
No full textsj-docx-1-aat-10.1177_24723444221147975 – Supplemental material for Studies on Incorporating Infrared Reflecting Minerals into Viscose Fibres
No full textSupplemental material, sj-docx-1-aat-10.1177_24723444221147975 for Studies on Incorporating Infrared Reflecting Minerals into Viscose Fibres by Esha Sharma, Shrikant Ralebhat, Dhirendra Singh, Gurudatt Krishnamurthy, Sunil Bhagwat and Ravindra V. Adivarekar in AATCC Journal of Research</p
Blind period selection for cyclic adaptive multiuser detection in multirate multimedia CDMA systems
No full textThe problem of blind adaptive multiuser detection in multirate CDMA systems is considered. Since symbol detection in multirate CDMA systems requires periodically time-varying processing of the observables, classical LMS and RLS adaptive algorithms, which assume that the solution to be tracked is time-invariant or slowly time-varying, are not suited for blind adaptive multiuser detection in a multirate system. To overcome this limitation, cyclic adaptive algorithms have recently been developed. However, these algorithms are not truly blind, since they require knowledge of the data-rates of the interfering signals, so as to compute the period at which the cyclic algorithms should be run. This paper presents an adaptive procedure for the automatic selection of the algorithm periodicity, which is based on a minimum mean-output-energy criterion, and that obviates the need of such prior knowledge. Simulation results confirm that the proposed algorithm is effective and incurs a limited loss with respect to the case in which the data-rates of the interferers are assumed known
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