Fast Implementation of Transmit Beamforming for Colocated MIMO Radar

Multiple-input Multiple-output (MIMO) radars benefit from spatial and waveform diversities to improve the performance potential. Phased array radars transmit scaled versions of a single waveform thereby limiting the transmit degrees of freedom to one. However MIMO radars transmit diverse waveforms from different transmit array elements thereby increasing the degrees of freedom to form flexible transmit beampatterns. The transmit beampattern of a colocated MIMO radar depends on the zero-lag correlation matrix of different transmit waveforms. Many solutions have been developed for designing the signal correlation matrix to achieve a desired transmit beampattern based on optimization algorithms in the literature. In this paper, a fast algorithm for designing the correlation matrix of the transmit waveforms is developed that allows the next generation radars to form flexible beampatterns in real-time. An efficient method for sidelobe control with negligible increase in mainlobe width is also presented

Groundwater externalities of surface irrigation transfers under National River Linking Project: Polavaram – Vijayawada link

River basin managementRiver basin developmentDevelopment projectsWater transferIrrigation canalsGroundwater irrigationTube well irrigationRiceSurface irrigationCrop managementSoil salinityWaterlogging

The lower Krishna Basin trajectory: relationships between basin development and downstream environmental degradation

River basin development / Lakes / Environmental degradation / Ecosystems / Mangroves / Water allocation / Groundwater / Water quality / Salinity / Irrigated farming / Institutions / Irrigation canals / Rural development

Nature of Subdiffusion Crossover in Molecular Glass-Formers

In various polymeric/molecular glass-formers, crossover from a non-Gaussian to Gaussian subdiffusion has been observed ubiquitously. We have developed a framework which generalizes the fractional Brownian motion (fBm) model to incorporate non-Gaussian features by introducing a jump kernel. We illustrate that the non-Gaussian fBm (nGfBm) model accurately characterizes the subdiffusion crossover. From the solutions of the nGfBm model, we acquire insights about the nature of van-Hove self-correlation in non-Gaussian subdiffusive regime, which are found to exhibit exponential tails, providing first such experimental evidence in molecular glass-formers. The results of the model are substantiated using incoherent quasielastic neutron scattering on glass-forming deep eutectic solvents

Circadian rhythm in the locomotor activity of a surface-dwelling millipede Syngalobolus sp.

Locomotor activity of the surface-dwelling millipede Syngalobolus sp. was recorded under laboratory conditions. Infra-red diodes were used to detect the locomotor activity in an oval shaped chamber, which was connected with an event recorder. The results of 11 individuals showed that the millipedes entrained to light/dark (LD12:12 h) conditions with negative phase angle difference (-83.2 ± 24.72 min). The millipedes showed a clear-cut free-running rhythm with a period (t) of 23.8 ± 1.0 h (n = 9) in constant darkness (DD). The period in continuous light (LL) was relatively greater (25.2 ± 0.1 h; n = 3) than that in DD

A coarse-grained protein model in a water-like solvent

Simulations employing an explicit atom description of proteins in solvent can be computationally expensive. On the other hand, coarse-grained protein models in implicit solvent miss essential features of the hydrophobic effect, especially its temperature dependence and have limited ability to capture the kinetics of protein folding. We propose a free space two-letter protein (“H-P”) model in a simple, but qualitatively accurate description for water, the Jagla model, which coarse-grains water into an isotropically interacting sphere. Using Monte Carlo simulations, we design protein-like sequences that can undergo a collapse, exposing the “Jagla-philic” monomers to the solvent, while maintaining a “hydrophobic” core. This protein-like model manifests heat and cold denaturation in a manner that is reminiscent of proteins. While this protein-like model lacks the details that would introduce secondary structure formation, we believe that these ideas represent a first step in developing a useful, but computationally expedient, means of modeling proteins.We thank C. A. Angell, M. Marques, S. Sastry, and Z. Yan for helpful discussions. S. S. and S. K. K. acknowledge the DOE - Basic Engineering Sciences for funding this research. P. G. D. gratefully acknowledges the support of the National Science Foundation (Grant CHE-1213343). P.J.R. gratefully acknowledges the support of the National Science Foundation (Collaborative Research Grants CHE-0908265 and CHE-0910615). Additional support from the R.A. Welch Foundation (F-0019) to P.J.R. is also gratefully acknowledged. HES thanks the NSF Chemistry Division for support through grants CHE 0911389, CHE 0908218 and CHE-1213217. S. V. B. acknowledges the partial support of this research through the Dr Bernard W. Gamson Computational Science Center at Yeshiva College. (DOE - Basic Engineering Sciences; CHE-1213343 - National Science Foundation; CHE-0908265 - National Science Foundation; CHE-0910615 - National Science Foundation; F-0019 - R.A. Welch Foundation; CHE 0911389 - NSF Chemistry Division; CHE 0908218 - NSF Chemistry Division; CHE-1213217 - NSF Chemistry Division; Dr Bernard W. Gamson Computational Science Center at Yeshiva College)Published versio

Schr\"{o}dinger cat state of trapped ions in harmonic and anharmonic oscillator traps

We examine the time evolution of a two level ion interacting with a light field in harmonic oscillator trap and in a trap with anharmonicities. The anharmonicities of the trap are quantified in terms of the deformation parameter $\tau$ characterizing the q-analog of the harmonic oscillator trap. Initially the ion is prepared in a Schr\"{o}dinger cat state. The entanglement of the center of mass motional states and the internal degrees of freedom of the ion results in characteristic collapse and revival pattern. We calculate numerically the population inversion I(t), quasi-probabilities $Q(t),$ and partial mutual quantum entropy S(P), for the system as a function of time. Interestingly, small deformations of the trap enhance the contrast between population inversion collapse and revival peaks as compared to the zero deformation case. For \beta =3 and $4,($ determines the average number of trap quanta linked to center of mass motion) the best collapse and revival sequence is obtained for \tau =0.0047 and \tau =0.004 respectively. For large values of \tau decoherence sets in accompanied by loss of amplitude of population inversion and for \tau \sim 0.1 the collapse and revival phenomenon disappear. Each collapse or revival of population inversion is characterized by a peak in S(P) versus t plot. During the transition from collapse to revival and vice-versa we have minimum mutual entropy value that is S(P)=0. Successive revival peaks show a lowering of the local maximum point indicating a dissipative irreversible change in the ionic state. Improved definition of collapse and revival pattern as the anharminicity of the trapping potential increases is also reflected in the Quasi- probability versus t plots.Comment: Revised version, 16 pages,6 figures. Revte