285 research outputs found
Emergency Management Information Frameworks for Spatial-alert Iterative Integration
Information frameworks are assuming progressively more imperative part in current emergency administration handle. A coordinated framework with abilities like foreknowledge, forecast and choice bolster capacities can give considerable included an incentive to leaders both strategic and arrangement making levels. It is however a testing errand to consistently incorporate different frameworks with devoted functionalities on useful and specialized angles, particularly when these frameworks are produced autonomously from each other with considerably extraordinary plan method of reasoning and programming innovation. In this paper, an iterative framework coordination approach is proposed by fitting administration situated, show driven and nimble framework improvement. A few outline standards and best practices from the product building group are received to encourage the incorporation undertaking. Furthermore, additional consideration is paid to give upgraded support to incorporating spatial information into the emergency administration work process. This approach means to give a commonsense framework reconciliation philosophy to incorporate emergency management information frameworks in a more compelling and proficient form
Schoenorchis manilaliana M.Kumar & Sequiera (Orchidaceae): A new record for Orchidaceae of Tamil Nadu, India
Schoenorchis manilaliana M.Kumar & Sequiera collected during a field expedition to Megamalai Wildlife Sancturary forms a new distributional record for the state of Tamil Nadu. The present collection is a first report from outside the type locality. A brief description, photo-plate and other details of this endemic orchid is presented here
Parametric resonance in the Rayleigh-Duffing oscillator with time-delayed feedback
We investigate the principal parametric resonance of a RayleighâDuffing oscillator with
time-delayed feedback position and linear velocity terms. Using the asymptotic perturbation
method, we obtain two slow flow equations on the amplitude and phase of the oscillator.
We study the effects of the frequency detuning, the deterministic amplitude, and the
time-delay on the dynamical behaviors, such as stability and bifurcation associated with
the principal parametric resonance. Moreover, the appropriate choice of the feedback gain
and the time-delay is discussed from the viewpoint of vibration control. It is found that the
appropriate choice of the time-delay can broaden the stable region of the non-trivial
steady-state solutions and enhance the control performance. Theoretical stability analysis
is verified through a numerical simulation.The University of Pretoriahttp://www.elsevier.com/locate/cnsnsai201
Analytic Behaviour of Competition among Three Species
We analyse the classical model of competition between three species studied
by May and Leonard ({\it SIAM J Appl Math} \textbf{29} (1975) 243-256) with the
approaches of singularity analysis and symmetry analysis to identify values of
the parameters for which the system is integrable. We observe some striking
relations between critical values arising from the approach of dynamical
systems and the singularity and symmetry analyses.Comment: 14 pages, to appear in Journal of Nonlinear Mathematical Physic
Bifurcations, Chaos, Controlling and Synchronization of Certain Nonlinear Oscillators
In this set of lectures, we review briefly some of the recent developments in
the study of the chaotic dynamics of nonlinear oscillators, particularly of
damped and driven type. By taking a representative set of examples such as the
Duffing, Bonhoeffer-van der Pol and MLC circuit oscillators, we briefly explain
the various bifurcations and chaos phenomena associated with these systems. We
use numerical and analytical as well as analogue simulation methods to study
these systems. Then we point out how controlling of chaotic motions can be
effected by algorithmic procedures requiring minimal perturbations. Finally we
briefly discuss how synchronization of identically evolving chaotic systems can
be achieved and how they can be used in secure communications.Comment: 31 pages (24 figures) LaTeX. To appear Springer Lecture Notes in
Physics Please Lakshmanan for figures (e-mail: [email protected]
An improved optimization technique for estimation of solar photovoltaic parameters
The nonlinear current vs voltage (I-V) characteristics of solar PV make its modelling difficult. Optimization techniques are the best tool for identifying the parameters of nonlinear models. Even though, there are different optimization techniques used for parameter estimation of solar PV, still the best optimized results are not achieved to date. In this paper, Wind Driven Optimization (WDO) technique is proposed as the new method for identifying the parameters of solar PV. The accuracy and convergence time of the proposed method is compared with results of Pattern Search (PS), Genetic Algorithm (GA), and Simulated Annealing (SA) for single diode and double diode models of solar PV. Furthermore, for performance validation, the parameters obtained through WDO are compared with hybrid Bee Pollinator Flower Pollination Algorithm (BPFPA), Flower Pollination Algorithm (FPA), Generalized Oppositional Teaching Learning Based Optimization (GOTLBO), Artificial Bee Swarm Optimization (ABSO), and Harmony Search (HS). The obtained results clearly reveal that WDO algorithm can provide accurate optimized values with less number of iterations at different environmental conditions. Therefore, the WDO can be recommended as the best optimization algorithm for parameter estimation of solar PV
Serverâside workflow execution using data grid technology for reproducible analyses of dataâintensive hydrologic systems
Many geoscience disciplines utilize complex computational models for advancing understanding and sustainable management of Earth systems. Executing such models and their associated data preprocessing and postprocessing routines can be challenging for a number of reasons including (1) accessing and preprocessing the large volume and variety of data required by the model, (2) postprocessing large data collections generated by the model, and (3) orchestrating data processing tools, each with unique software dependencies, into workflows that can be easily reproduced and reused. To address these challenges, the work reported in this paper leverages the Workflow Structured Object functionality of the Integrated RuleâOriented Data System and demonstrates how it can be used to access distributed data, encapsulate hydrologic data processing as workflows, and federate with other communityâdriven cyberinfrastructure systems. The approach is demonstrated for a study investigating the impact of drought on populations in the Carolinas region of the United States. The analysis leverages computational modeling along with data from the Terra Populus project and data management and publication services provided by the Sustainable EnvironmentâActionable Data project. The work is part of a larger effort under the DataNet Federation Consortium project that aims to demonstrate data and computational interoperability across cyberinfrastructure developed independently by scientific communities.Plain Language SummaryExecuting computational workflows in the geosciences can be challenging, especially when dealing with large, distributed, and heterogeneous data sets and computational tools. We present a methodology for addressing this challenge using the Integrated RuleâOriented Data System (iRODS) Workflow Structured Object (WSO). We demonstrate the approach through an endâtoâend application of data access, processing, and publication of digital assets for a scientific study analyzing drought in the Carolinas region of the United States.Key PointsReproducibility of dataâintensive analyses remains a significant challengeData grids are useful for reproducibility of workflows requiring large, distributed data setsData and computations should be coâlocated on servers to create executable WebâresourcesPeer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/137520/1/ess271_am.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/137520/2/ess271.pd
- âŠ