4,503 research outputs found
Systemic: A Testbed For Characterizing the Detection of Extrasolar Planets. I. The Systemic Console Package
We present the systemic Console, a new all-in-one, general-purpose software
package for the analysis and combined multiparameter fitting of Doppler radial
velocity (RV) and transit timing observations. We give an overview of the
computational algorithms implemented in the Console, and describe the tools
offered for streamlining the characterization of planetary systems. We
illustrate the capabilities of the package by analyzing an updated radial
velocity data set for the HD128311 planetary system. HD128311 harbors a pair of
planets that appear to be participating in a 2:1 mean motion resonance. We show
that the dynamical configuration cannot be fully determined from the current
data. We find that if a planetary system like HD128311 is found to undergo
transits, then self-consistent Newtonian fits to combined radial velocity data
and a small number of timing measurements of transit midpoints can provide an
immediate and vastly improved characterization of the planet's dynamical state.Comment: 10 pages, 5 figures, accepted for publication on PASP. Additional
material at http://www.ucolick.org/~smeschia/systemic.ph
ANCHOR: logically-centralized security for Software-Defined Networks
While the centralization of SDN brought advantages such as a faster pace of
innovation, it also disrupted some of the natural defenses of traditional
architectures against different threats. The literature on SDN has mostly been
concerned with the functional side, despite some specific works concerning
non-functional properties like 'security' or 'dependability'. Though addressing
the latter in an ad-hoc, piecemeal way, may work, it will most likely lead to
efficiency and effectiveness problems. We claim that the enforcement of
non-functional properties as a pillar of SDN robustness calls for a systemic
approach. As a general concept, we propose ANCHOR, a subsystem architecture
that promotes the logical centralization of non-functional properties. To show
the effectiveness of the concept, we focus on 'security' in this paper: we
identify the current security gaps in SDNs and we populate the architecture
middleware with the appropriate security mechanisms, in a global and consistent
manner. Essential security mechanisms provided by anchor include reliable
entropy and resilient pseudo-random generators, and protocols for secure
registration and association of SDN devices. We claim and justify in the paper
that centralizing such mechanisms is key for their effectiveness, by allowing
us to: define and enforce global policies for those properties; reduce the
complexity of controllers and forwarding devices; ensure higher levels of
robustness for critical services; foster interoperability of the non-functional
property enforcement mechanisms; and promote the security and resilience of the
architecture itself. We discuss design and implementation aspects, and we prove
and evaluate our algorithms and mechanisms, including the formalisation of the
main protocols and the verification of their core security properties using the
Tamarin prover.Comment: 42 pages, 4 figures, 3 tables, 5 algorithms, 139 reference
Automated Classification of Periodic Variable Stars detected by the Wide-field Infrared Survey Explorer
We describe a methodology to classify periodic variable stars identified
using photometric time-series measurements constructed from the Wide-field
Infrared Survey Explorer (WISE) full-mission single-exposure Source Databases.
This will assist in the future construction of a WISE Variable Source Database
that assigns variables to specific science classes as constrained by the WISE
observing cadence with statistically meaningful classification probabilities.
We have analyzed the WISE light curves of 8273 variable stars identified in
previous optical variability surveys (MACHO, GCVS, and ASAS) and show that
Fourier decomposition techniques can be extended into the mid-IR to assist with
their classification. Combined with other periodic light-curve features, this
sample is then used to train a machine-learned classifier based on the random
forest (RF) method. Consistent with previous classification studies of variable
stars in general, the RF machine-learned classifier is superior to other
methods in terms of accuracy, robustness against outliers, and relative
immunity to features that carry little or redundant class information. For the
three most common classes identified by WISE: Algols, RR Lyrae, and W Ursae
Majoris type variables, we obtain classification efficiencies of 80.7%, 82.7%,
and 84.5% respectively using cross-validation analyses, with 95% confidence
intervals of approximately +/-2%. These accuracies are achieved at purity (or
reliability) levels of 88.5%, 96.2%, and 87.8% respectively, similar to that
achieved in previous automated classification studies of periodic variable
stars.Comment: 48 pages, 17 figures, 1 table, accepted by A
ROSA: Realistic Open Security Architecture for active networks
Proceedings of IFIP-TC6 4th International Working Conference, IWAN 2002 Zurich, Switzerland, December 4–6, 2002.Active network technology enables fast deployment of new network
services tailored to the specific needs of end users, among other features.
Nevertheless, security is still a main concern when considering the industrial
adoption of this technology. In this article we describe an open security
architecture for active network platforms that follow the discrete approach. The
proposed solution provides all the required security features, and it also grants
proper scalability of the overall system, by using a distributed key-generation
algorithm. The performance of the proposal is validated with experimental data
obtained from a prototype implementation of the solution.Publicad
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We are thinking of creating a website that allows individuals to raise money for a variety of occasions, including life milestones like graduations and celebrations as well as difficult situations like accidents and diseases. Users must create an account in order to request money from website subscribers since many of them will assist those in need. The site has to be pushed more on social media platforms such Advertisement Instagram, YouTube, and Facebook Pages so that our website may reach more people online. Admin will handle the users and campaigns and receive a fee of 10% for each transaction.
To promote this website, we have a distinct team, and one of its members will be employed in the field of digital marketing. The Framework we are using is .NET Framework, language we are using for Server-Side is C# and Front-End languages are HTML, JavaScript, jQuery, CSS, and Bootstrap.
The three roles of this website are User, Donor, and Administrator. User-Any user may sign up on the website and raise money for a range of events, such as significant life events like graduations and celebrations as well as challenging circumstances like accidents and illnesses. Donors-We can attract a lot more donors by promoting private fundraising on social media for a person, a project, or a cause. This will allow donors to get payment URLs so they may donate. Administrator -The administrator will manage the campaigns and users and will be paid 10% of each transaction.
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A survey on online monitoring approaches of computer-based systems
This report surveys forms of online data collection that are in current use (as well as being the subject of research to adapt them to changing technology and demands), and can be used as inputs to assessment of dependability and resilience, although they are not primarily meant for this use
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