Lessons from Leveraging Land: A Case of Bangalore Mysore Infrastructure Corridor

Bangalore Mysore Infrastructure Corridor pioneered the idea of leveraging land for revenue generation to make a project viable. The project was conceived as early as 1988. It had the twin objectives of (i) connecting Bangalore and Mysore (two rapidly growing cities in Karnataka) with an expressway and (ii) developing the infrastructure around the periphery of Bangalore city and the expressway. The project generated many controversies centred around land acquisition including the quantum of land, number of places for land acquisition, number of families affected, and the compensation package. These issues were further escalated due to frequent changes in political leadership in the state. This paper discusses the events which have spanned over two decades and brings out the key learnings in leveraging land as a revenue generation instrument.

Frequency and time profiles of metric wave isolated Type I solar noise storm bursts at high spectral and temporal resolution

Type I noise storms constitute a sizeable faction of the active-Sun radio emission component. Observations of isolated instances of such bursts, in the swept-frequency-mode at metric wavelengths, have remained sparse, with several unfilled regions in the frequency coverage. Dynamic spectra of the burst radiation, in the 30 - 130 MHz band, obtained from the recently commissioned digital High Resolution Spectrograph (HRS) at the Gauribidanur Radio Observatory, on account of the superior frequency and time resolution, have unravelled in explicit detail the temporal and spectral profiles of isolated bursts. Apart from presenting details on their fundamental emission features, the time and frequency profile symmetry, with reference to custom-specific Gaussian distributions, has been chosen as the nodal criterion to statistically explain the state of the source regions in the vicinity of magnetic reconnections, the latent excitation agent that contributes to plasma wave energetics, and the quenching phenomenon that causes damping of the burst emission.Comment: 9 pages 7 black and white / grey-scale figures (inclusive of 3 composite). MNRAS - accepte

Effects of spin imbalance on the electric-field driven quantum dissipationless spin current in pp-doped Semiconductors

It was proposed recently by Murakami et al. [Science \textbf{301}, 1348(2003)] that in a large class of $p$-doped semiconductors, an applied electric field can drive a quantum dissipationless spin current in the direction perpendicular to the electric field. In this paper we investigate the effects of spin imbalance on this intrinsic $spin$ Hall effect. We show that in a real sample with boundaries, due to the presence of spin imbalance near the edges of the sample, the spin Hall conductivity is not a constant but a sensitively $position$-$dependent$ quantity, and due to this fact, in order to take the effects of spin imbalance properly into account, a microscopic calculation of both the quantum dissipationless spin Hall current and the spin accumulation on an equal footing is thus required. Based on such a microscopic calculation, a detailed discussion of the effects of spin imbalance on the intrinsic spin Hall effect in thin slabs of $p$-doped semiconductors are presented.Comment: 8 pages, 2 figures, An extended version with detailed calculations To appear in Phys. Rev.

Mega projects in India Environmental and Land Acquisition Issues in the Road Sector

Mega projects (primarily infrastructure) receive a sizable investment (~10%) of the gross fixed capital formation in India. Environmental clearances and land acquisitions have been the two major reasons for delays in the projects. However, there has been a steady increase in the proportion of projects running on schedule and a sharp decline in the proportion of projects with cost overruns. These accomplishments have been achieved due to better financing, project management, and reform in the regulatory frameworks related to environmental and land acquisition aspects. The acceptance of a user fee and development of alternate sources of revenue have helped attract larger investments in mega projects. With increasing private sector participation, delays due to project management are expected to reduce. The modifications in the regulatory framework on environmental and land acquisition issues are moves in the right direction. However, methods used for assessments related to environmental impact and land acquisition are still manual, making the whole process time consuming. Technology could be a good instrument in reducing the time required for these assessments as well as in bringing transparency in the system. Decentralization with capacity building at the state level would also help in the long run in reducing these delays.

Convolution Neural Network Based Prediction for Eye Gaze Estimation

Levels of progress in progress have truly made it possible to get various kinds of biometric information from individuals, enabling bases on assessment of human conditions in cure, auto prospering, advancing, and various zones. These evaluations have particularly featured eye improvement as a convincing marker with respect to human conditions, and assessment on its applications is adequately being pursued. The contraptions as of now for the most part used for assessing eye overhauls rely on the video-oculography (VOG) procedure, wherein the course of look is outlined by managing eye pictures crushed a camera. Applying convolutional neural network (ConvNet) to the getting ready of eye pictures has been seemed to enable exact and unprecedented look assessment. Ordinary picture overseeing, in any case, is begun on execution using a PC, making it difficult to finish consistent look. We hence propose another eye picture overseeing framework that cycles look assessment and event disclosure starting with one fulfillment then onto the accompanying using a self-governing engineered lightweight ConvNet. This paper evaluates the course of action of the proposed lightweight ConvNet, the frameworks for learning and appraisal used, and the proposed methodology's ability to meanwhile see look heading and event occasion using a truly unassuming memory and at lower computational complex nature than standard ways of thinking

Distributing Quantum Circuits Using Teleportations

Scalability is currently one of the most sought-after objectives in the field of quantum computing. Distributing a quantum circuit across a quantum network is one way to facilitate large computations using current quantum computers. In this paper, we consider the problem of distributing a quantum circuit across a network of heterogeneous quantum computers, while minimizing the number of teleportations (the communication cost) needed to implement gates spanning multiple computers. We design two algorithms for this problem. The first, called Local- Best, initially distributes the qubits across the network, then tries to teleport qubits only when necessary, with teleportations being influenced by gates in the near future. The second, called Zero- Stitching, divides the given circuit into sub-circuits such that each sub-circuit can be executed using zero teleportations and the teleportation cost incurred at the borders of the sub-circuits is minimal. We evaluate our algorithms over a wide range of randomly-generated circuits as well as known benchmarks, and compare their performance to prior work. We observe that our techniques outperform the prior approach by a significant margin (up to 50%)