2015
CAUTION statement: This DRAFT document is provided for information and is for future development work within the ETSI ISG NFV only. ETSI and its Members accept no liability for any further use/implementation of this Specification.
Cited by 0
Lecture notes in control and information sciences · 2006
Cited by 0
Yi Shen · 2014
Quantitative estimates of quality factor Q are useful for a variety of applications, ranging from seismic-acquisition design, to seismic processing, amplitude anal-ysis, and reservoir characterization. However, Q model building, which is con-ventionally done in the data space using ray-based tomography, is a notoriously challenging problem due to issues like spectral interference, low signal-to-noise ra-tio, diffractions, and complex subsurface structure. I propose to produce reliable Q models using a new approach with two major features. First, this method will be performed in the image-space, which uses downward-continuation compensa-tion migration with Q to stack out noise, focus and simplify events, and provide a direct link between the model perturbation and the image perturbation. Sec-ond, this method uses wave-equation Q tomography (WEQTom) to handle the complex wave propagation. The implementation of the compensation migration and WEQTom operator builds the cornerstone of the proposed process, and the preliminary results on a simple 2-D example demonstrate its feasibility. Finally, a synthetic test on a 2-D model with multiple reflectors and a Gaussian Q anomaly shows the capability of this method on a realistic structure with a gas cloud.
Cited by 0
2025
Cited by 0
Jiju Peethambaran, Amal Dev, Ramanathan Muthuganapathy · 2016
•Definition “Given a finite set of points in R3, polyhedronization deals with constructing a simple polyhedron such that the vertices of the polyhedron are precisely the given points.” •Applications-Molecular polyhedron structure synthesis.-Boundary representation of input points in Computer
Cited by 0
Annmarie J. Mcgowan, Hans Skott-myhre, Christine Tardif-williams · 2016
Cited by 0
Jinqu Chen (20258031), Yanni Ju (22170954), Shaochuan Zhu (22170957) et al. · Figshare · 2025
<div> The efficient dispatch of rescue teams (RTs) during traffic accidents is crucial for the rapid restoration of normal operations in the affected urban road network (URN), thereby enhancing the network’s resilience during such events. However, previous studies focusing on optimizing RT dispatch strategies to enhance URN resilience remain limited. To address this gap, this paper develops a mixed-integer linear programming model aimed at optimizing RT dispatch during traffic accidents. The formulated model is solved using the commercial solver (i.e., CPLEX). Numerical experiments conducted on a hypothetical URN demonstrate that the model generates an optimal dispatch scheme. Compared to baseline strategies, the optimized scheme reduces the total objective function values by 27.36% in small-scale cases and 16.28% in large-scale case, respectively. Furthermore, sensitivity analysis reveal that accident severity and destination locations significantly influence the dispatch scheme design. Finally, the paper discusses the impact of several parameters on the model’s solution, showing that its performance is highly sensitive to several critical factors like RT dispatch costs, the maximum allowable delay time, passenger value of time, and vehicle travel speeds. </div>
Cited by 0Open access
Patrick Ryan · OSF Preprints (OSF Preprints) · 2017
Cited by 0
Humberto Moreira, Rajesh Balwani, Subramanyan V Dronamraju · 2011
The “wisdom of the crowds ” is leveraged within online communities both as a means of generating content as well as a means of evaluating it.
Cited by 0
Large Data, Example Terashake · 2009
Cited by 0
David Levanony, Peter E. Caines · SpringerBriefs in mathematics · 2024
Cited by 0
Olivier Pironneau · 1984
Cited by 1
2016
Current approaches to deal with attacks on network systems handle individual attack at a time. Collaborative attacks are those that are launched by multiple attackers which synchronize their activities to harm the network in co-ordination with each other. Threats by collaborating attackers are much more complex, powerful and sophisticated. They render the solutions for single attacks ineffective. Coordinated attacks may cause more devastating impacts on a network as more than one attacker combine their efforts to harm the network. In this work, we propose to model the collaborative attacks and suggest defense against them.
Cited by 0
R Sudha · Jaypee Brothers Medical Publishers (P) Ltd. eBooks · 2017
Cited by 2
Aaron Harrington, Aaron Harrington, Aaron Harrington · 2016
Cited by 0
Bills, Matt · Open Science Framework · 2016
Cited by 0Open access
2015
The question of how, and to what degree, the public should be involved with policy-set-ting is fundamental to strengthening—and thereby improving—the democratic process. Public agencies, including land management agencies, wrestle with appropriate and mean-ingful strategies for stakeholder involvement. Even the framers of our Constitution struggled with the basic question of “whether democratic citizens should be expected to work out the solution to such struggles directly among themselves or whether it is possible to adopt a machinery of government which would pump out solutions without requiring such direct citizen engagement. Should the burden of solving public problems rest most directly on cit-izenship or on government? ” (Kemmis 1990:11). It’s no wonder then, that throughout the western United States where large swaths of public land abut private and state lands—and where second homes sprout like weeds—land managers and interested parties alike struggle for meaning in the public participation process. Background Building on a wellspring of environmental concerns and regulations, Congress estab-lished the National Environmental Policy Act (NEPA) in 1969. This act, a “capstone to the
Cited by 0
Cathal Doyle, Konstantina Vasileva, Kristijan Mirkovski · OSF Preprints (OSF Preprints) · 2021
Cited by 0
Ryan Coon, Shaylee Dragon, Bradford J. Wiggins et al. · OSF Preprints (OSF Preprints) · 2016
Cited by 0
Matt Bills · OSF Preprints (OSF Preprints) · 2016
Cited by 0