ANFIS Based Temporally Ordered Routing Algorithm to Enhance the Performance in Mobile Ad-hoc Networks

A Mobile Ad hoc network (MANET) consists of mobile nodes, a router with multiple hosts and wireless communication devices. Mobile Adhoc Networks can operate without any fixed infrastructure and can survive rapid changes in the network topology. Link failure and route failure takes place. Provisioning of QoS is a problem in MANETs. TORA is the only protocol which supports either Proactive or Reactive modes in routing. In this paper, we incorporated the ANFIS to the existing TORA to enhance the performance. Evaluating the performance of ANFIS-TORA is the simulation by using OPNET MODELLER. Evaluating the relative performance with respect to performance metrics are Throughput, End-to-End delay, and Network Load. We generate various simulation scenarios with varying network size such as small, medium and large. In this paper, ANFIS based TORA for MANETs are considered and their performance was analyzed for different network size. From the simulation results, we conclude that ANFIS based TORA outperforms for small medium and large network. Throughput was increased by 48.27% in small network, 61.29% in medium network and 8.29% in the large network in Reactive mode. In Proactive, the throughput is increased by 103.46% in small network, 4.58% in medium network and 5.05% in large network

Does forest type classification reflect spatial dynamics of vegetation? Analysis using GIS techniques

The existing methods of classification of forest vegetation rely more on the structure and composition of tree vegetation with little information derived from other layers. We suggest that any classificatory process of forest vegetation should consider the spatial dynamics of all the three layers namely, tree, shrub and herb. In this paper we have attempted to offer an objective method of classifying the vegetation at all the three layers utilizing GIS and multivariate statistical tools. Unlike the existing techniques, our method views the forest as a continuously changing mosaic of vegetation and not as an assemblage of discrete patches. Our study suggests that understanding the spatial dynamics of vegetation at one layer may not reflect that at others. Further, as an alternate to the existing methods, we also develop a continuum map of biodiversity of the forest that offers the conservation value of each patch, an element that is not conveyed in the existing classificatory processes. Discover the world's researc

Complex Dynamics and Synchronization of Delayed-Feedback Nonlinear Oscillators

We describe a flexible and modular delayed-feedback nonlinear oscillator that is capable of generating a wide range of dynamical behaviours, from periodic oscillations to high-dimensional chaos. The oscillator uses electrooptic modulation and fibre-optic transmission, with feedback and filtering implemented through real-time digital-signal processing. We consider two such oscillators that are coupled to one another, and we identify the conditions under which they will synchronize. By examining the rates of divergence or convergence between two coupled oscillators, we quantify the maximum Lyapunov exponents or transverse Lyapunov exponents of the system, and we present an experimental method to determine these rates that does not require a mathematical model of the system. Finally, we demonstrate a new adaptive control method that keeps two oscillators synchronized even when the coupling between them is changing unpredictably.Comment: 24 pages, 13 figures. To appear in Phil. Trans. R. Soc. A (special theme issue to accompany 2009 International Workshop on Delayed Complex Systems

Does forest type classification reflect spatial dynamics of vegetation? An analysis using GIS techniques

The existing methods of classification of forest vegetation rely more on the structure and composition of tree vegetation with little information derived from other layers. We suggest that any classificatory process of forest vegetation should consider the spatial dynamics of all the three layers namely, tree, shrub and herb. In this paper we have attempted to offer an objective method of classifying the vegetation at all the three layers utilizing GIS and multivariate statistical tools. Unlike the existing techniques, our method views the forest as a continuously changing mosaic of vegetation and not as an assemblage of discrete patches. Our study suggests that understanding the spatial dynamics of vegetation at one layer may not reflect that at others. Further, as an alternate to the existing methods, we also develop a continuum map of biodiversity of the forest that offers. the conservation value of each patch, an element that IS not conveyed in the existing classificatory processes

IN VITRO ANTIOXIDANT AND α-AMYLASE INHIBITION ACTIVITIES OF PANCHSAKAR CHURNA

Panchsakar Churna is the composition of Cassia angustifolia, Terminalia chebula, Zingiber officinale, Foeniculum vulgare and Saindhava lavana. Aqueous extract of churna was used to investigate antioxidant activity by ferrous ion chelating assay and ferric reducing power and alpha amylase inhibition activity by dinitrosalicylic acid method (DNSA). Aqueous extract of churna showed maximum ferrous chelating activity - 42.01 and ferric reducing power - 1.5 and 83.33 % of inhibition protein denaturation at 1000 µg/ml. Panchsakar churna showed significant antioxidant and alpha amylase inhibition activities

Adapting Translational Research Methods to Water, Sanitation, and Hygiene

Translational research applies scientific techniques to achieve practical outcomes, connecting pure research and pure practice. Many translational research types have arisen since the mid-1900s, reflecting the need to better integrate scientific advancement with policy and practice. Water, sanitation, and hygiene (WaSH) development efforts have aimed to reduce morbidity and mortality and improve service delivery; thus, associated research has a strong orientation toward applied studies that use diverse methods to support decision-making. Drawing from knowledge that emerged to support other professional fields, such as manufacturing and clinical healthcare, we characterize different types of translational research and clarify nomenclature and principles. We describe study approaches relevant to translational research questions, and offer overarching recommendations, specific examples, and resources for further study as practical advice to professionals who seek to apply translational methods to WaSH problems. To enhance collective outcomes, professionals should mindfully align projects within the translational spectrum. We further recommend overarching good practices such as documenting intervention adaptations, overtly considering contextual factors, and better distinguishing efficacy from effectiveness research by replicating studies in different contexts. By consciously improving the compatibility and linkages between WaSH science and practice, this guide can accelerate urgently needed progress toward global development goals

Concordance between chest X ray (CXR) and point of care ultrasound (POCUS) findings in children diagnosed with RSV infection by nasopharyngeal RT-PCR: the Zambia experience

NIHhttp://www.cs.bu.edu/faculty/betke/papers/Camelo-et-alRSV-POCUS-vs-CXR-Poster.pdfAccepted manuscrip

Development and characterization of microsatellite markers for Phyllanthus emblica Linn., important nontimber forest product species

Phyllanthus emblica and P. indofischeri, commonly known as the Indian gooseberry, are important nontimber forest product (NTFP) species widely distributed across the Indian subcontinent. The fruits of these species are rich in vitamin C and are used in the preparation of a number of herbal medicines for treating a wide range of disorders. Due to the increased demand, they have been harvested extensively and form a major source of income for the forest-dwelling communities living in southern India. There are limited studies to understand the impact of harvesting on the genetic structure of these species. In this study, 15 polymorphic microsatellite markers have been developed for P. emblica and were characterized by screening 20 individuals each of P.emblica and P. indofischeri. The number of alleles per locus ranged 2–9 for P. emblica and 2–11 for P. indofischeri. The observed and expected heterozygosity of P. emblica ranged 0–1 and 0.401–0.825, respectively. Similarly, the observed and expected heterozygosity of P. indofischeri ranged 0.5–1 and 0.366–0.842, respectively. Cross-amplification of the designed primers was assessed with seven related Phyllanthus species. The microsatellite markers developed can be used for studying the population genetic structure, gene flow and genetic diversity of P. emblica and P. indofischeri