3,386 research outputs found
Static aerodynamic characteristics of a 0.035-scale model of a modified NKC-135 airplane at a Mach number of 0.28
A 0.035-scale model fo a modified NKC-135 airplane was tested in 12-foot pressure wind tunnel to determine the effects on the static aerodynamic characteristics of modifications to the basic aircraft. Modifications investigated included: nose, lower fuselage, and upper fuselage radomes; wing pylons and pods; overwing probe; and air conditioning inlets. The investigation was performed at a Mach number of 0.28 over a Reynolds number range from 6.6 to 26.2 million per meter. Angles of attack and sideslip varied from -8 deg to 20 deg and from -18 deg to 8 deg, respectively, for various combinations of flap, aileron, and rudder deflections. A limited analysis of the test results indicates that the addition of the radomes reduces lateral-directional stability and control effectiveness of the basic aircraft
Modelling hourly rates of evaporation from small lakes
The paper presents the results of a field study of open water evaporation carried out on three small lakes in Western and Northern Canada. In this case small lakes are defined as those for which the temperature above the water surface is governed by the upwind land surface conditions; that is, a continuous boundary layer exists over the lake, and large-scale atmospheric effects such as entrainment do not come into play. Lake evaporation was measured directly using eddy covariance equipment; profiles of wind speed, air temperature and humidity were also obtained over the water surfaces. Observations were made as well over the upwind land surface. <br><br> The major factors controlling open water evaporation were examined. The study showed that for time periods shorter than daily, the open water evaporation bears no relationship to the net radiation; the wind speed is the most significant factor governing the evaporation rates, followed by the land-water temperature contrast and the land-water vapour pressure contrast. The effect of the stability on the wind field was demonstrated; relationships were developed relating the land-water wind speed contrast to the land-water temperature contrast. The open water period can be separated into two distinct evaporative regimes: the warming period in the Spring, when the land is warmer than the water, the turbulent fluxes over water are suppressed; and the cooling period, when the water is warmer than the land, the turbulent fluxes over water are enhanced. <br><br> Relationships were developed between the hourly rates of lake evaporation and the following significant variables and parameters (wind speed, land-lake temperature and humidity contrasts, and the downwind distance from shore). The result is a relatively simple versatile model for estimating the hourly lake evaporation rates. The model was tested using two independent data sets. Results show that the modelled evaporation follows the observed values very well; the model follows the diurnal trends and responds to changes in environmental conditions
Searching for comets on the World Wide Web: The orbit of 17P/Holmes from the behavior of photographers
We performed an image search for "Comet Holmes," using the Yahoo Web search
engine, on 2010 April 1. Thousands of images were returned. We astrometrically
calibrated---and therefore vetted---the images using the Astrometry.net system.
The calibrated image pointings form a set of data points to which we can fit a
test-particle orbit in the Solar System, marginalizing over image dates and
detecting outliers. The approach is Bayesian and the model is, in essence, a
model of how comet astrophotographers point their instruments. In this work, we
do not measure the position of the comet within each image, but rather use the
celestial position of the whole image to infer the orbit. We find very strong
probabilistic constraints on the orbit, although slightly off the JPL
ephemeris, probably due to limitations of our model. Hyperparameters of the
model constrain the reliability of date meta-data and where in the image
astrophotographers place the comet; we find that ~70 percent of the meta-data
are correct and that the comet typically appears in the central third of the
image footprint. This project demonstrates that discoveries and measurements
can be made using data of extreme heterogeneity and unknown provenance. As the
size and diversity of astronomical data sets continues to grow, approaches like
ours will become more essential. This project also demonstrates that the Web is
an enormous repository of astronomical information; and that if an object has
been given a name and photographed thousands of times by observers who post
their images on the Web, we can (re-)discover it and infer its dynamical
properties.Comment: As published. Changes in v2: data-driven initialization rather than
JPL; added figures; clarified tex
SEAD: Preserving Data for Environmental Sciences in Areas of Climate, Land-Use, and Environmental Management
NSF Funded DataNet Project #OCI0940824
• SEAD goal is to contribute infrastructure to the NSF DataNet
Vision that supports data
• Access
• Sharing
• Reuse
• Preservation
• Direct work with data at the NSF STC NCED (National Center for Earth-Surface Dynamics
Quantitative Evaluation of Spinodal Decomposition in Fe-Cr by Atom Probe Tomography and Radial Distribution Function Analysis
Nanostructure evolution during low temperature aging of three binary Fe-Cr alloys has been investigated by atom probe tomography. A new method based on radial distribution function (RDF) analysis to quantify the composition wavelength and amplitude of spinodal decomposition is proposed. Wavelengths estimated from RDF have a power-law type evolution and are in reasonable agreement with wavelengths estimated using other more conventional methods. The main advantages of the proposed method are the following: (1) Selecting a box size to generate the frequency diagram, which is known to generate bias in the evaluation of amplitude, is avoided. (2) The determination of amplitude is systematic and utilizes the wavelength evaluated first to subsequently evaluate the amplitude. (3) The RDF is capable of representing very subtle decomposition, which is not possible using frequency diagrams, and thus a proposed theoretical treatment of the experimental RDF creates the possibility to determine amplitude at very early stages of spinodal decomposition
The Peter Principle Revisited: A Computational Study
In the late sixties the Canadian psychologist Laurence J. Peter advanced an
apparently paradoxical principle, named since then after him, which can be
summarized as follows: {\it 'Every new member in a hierarchical organization
climbs the hierarchy until he/she reaches his/her level of maximum
incompetence'}. Despite its apparent unreasonableness, such a principle would
realistically act in any organization where the mechanism of promotion rewards
the best members and where the mechanism at their new level in the hierarchical
structure does not depend on the competence they had at the previous level,
usually because the tasks of the levels are very different to each other. Here
we show, by means of agent based simulations, that if the latter two features
actually hold in a given model of an organization with a hierarchical
structure, then not only is the Peter principle unavoidable, but also it yields
in turn a significant reduction of the global efficiency of the organization.
Within a game theory-like approach, we explore different promotion strategies
and we find, counterintuitively, that in order to avoid such an effect the best
ways for improving the efficiency of a given organization are either to promote
each time an agent at random or to promote randomly the best and the worst
members in terms of competence.Comment: final version published on Physica A, 10 pages, 4 figures, 1 table
(for on-line supplementary material see the link:
http://www.ct.infn.it/cactus/peter-links.html
Invest to Save: Report and Recommendations of the NSF-DELOS Working Group on Digital Archiving and Preservation
Digital archiving and preservation are important areas for research and development, but there is no agreed upon set of priorities or coherent plan for research in this area. Research projects in this area tend to be small and driven by particular institutional problems or concerns. As a consequence, proposed solutions from experimental projects and prototypes tend not to scale to millions of digital objects, nor do the results from disparate projects readily build on each other. It is also unclear whether it is worthwhile to seek general solutions or whether different strategies are needed for different types of digital objects and collections. The lack of coordination in both research and development means that there are some areas where researchers are reinventing the wheel while other areas are neglected.
Digital archiving and preservation is an area that will benefit from an exercise in analysis, priority setting, and planning for future research. The WG aims to survey current research activities, identify gaps, and develop a white paper proposing future research directions in the area of digital preservation. Some of the potential areas for research include repository architectures and inter-operability among digital archives; automated tools for capture, ingest, and normalization of digital objects; and harmonization of preservation formats and metadata. There can also be opportunities for development of commercial products in the areas of mass storage systems, repositories and repository management systems, and data management software and tools.
SEAD Virtual Archive: Building a Federation of Institutional Repositories for Long Term Data Preservation
Major research universities are grappling with their response to the deluge of scientific data emerging through research by their faculty. Many are looking to their libraries and the institutional repository as a solution. Scientific data introduces substantial challenges that the document-based institutional repository may not be suited to deal with. The Sustainable Environment - Actionable Data (SEAD) Virtual Archive specifically addresses the challenges of “long tail” scientific data. In this paper, we propose requirements, policy and architecture to support not only the preservation of scientific data today using institutional repositories, but also its rich access and use into the future
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