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Megha Singh

Publications and source records attributed to Megha Singh.

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Laser based optical interferometer manometer design for primary pressure standard in India

The SI unit of pressure, i.e. Pascal is realized with mechanical devices such as ultrasonic interferometer manometers and pressure balances for the pressure range 1 Pa to 100 kPa. Recently, optical interferometer manometers are being used to realize Pascal. Such a realization is mercury-free and environmentally friendly and does not depend on any mechanical motions as in piston gauges and is based on physical constants. It consists of an optical Fabry-Perot cavity as a refractometer and is based on the measurement of the resonant frequency of the cavity using lasers. In this paper, we report the theoretical calculations for such an optical cavity and discuss various parameters for the laser required for developing such a cavity-based refractometer system. We present the mechanical design for the dual cavity and an all-fiber optical set-up to be used for the next generation of primary pressure standards in the barometric region of pressure at CSIR-National physical laboratory, India.

physics.ins-det

Network biomarkers of schizophrenia by graph theoretical investigations of Brain Functional Networks

Brain Functional Networks (BFNs), graph theoretical models of brain activity data, provide a systems perspective of complex functional connectivity within the brain. Neurological disorders are known to have basis in abnormal functional activities, that could be captured in terms of network markers. Schizophrenia is a pathological condition characterized with altered brain functional state. We created weighted and binary BFN models of schizophrenia patients as well as healthy subjects starting from fMRI data in an effort to search for network biomarkers of the disease. We investigated 45 topological features of BFNs and their higher order combinations (2 to 8). We find that network features embodying modularity, betweenness, assortativity and edge density emerge as key markers of schizophrenia. Also, features derived from weighted BFNs were observed to be more effective in disease classification as compared to those from binary BFNs. These topological markers may provide insights into mechanisms of functional activity underlying disease phenotype and could further be used for designing algorithms for clinical diagnosis of schizophrenia as well as its early detection.

q-bio.QM

Simulation of wireless dynamic source routing protocol with IP traffic flow analysis, memory efficiency and increased throughput

Today in fast technology development in wireless mobile adhoc network there is vast scope for research. As it is known that wireless communication for mobile network has many application areas like routing services, security services etc. The mobile adhoc network is the wireless network for communication in which the mobile nodes are organized without any centralized administrator. There are many Manet routing protocols like reactive, proactive, hybrid etc. In this paper the reactive Manet routing protocol like DSR is simulated for traffic analysis for 50 mobile nodes for IP traffic flows. Also throughput is analyzed for DSR and ER-DSR protocol. And finally the memory utilized during simulation of DSR and ER-DSR is evaluated in order to compare both.

cs.NI