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Data-Based Control of a Free-Free Beam in the Presence of Uncertainty

2007 American Control Conference, 2007
System uncertainty can arise from a number of sources including disturbances, noise, unmodeled dynamics, and nonlinearities. Linear control design techniques typically neglect uncertainty in the system response. This may result in a reduction in performance or even instability of the closed loop system.
Tannen S. VanZwieten   +2 more
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Free-scaling your data center

Computer Networks, 2013
Abstract The increasing popularity of both small and large private clouds and expanding public clouds poses new requirements to data center (DC) architectures. First, DC architectures should be incrementally scalable allowing the creation of DCs of arbitrary size with consistent performance characteristics.
László Gyarmati   +4 more
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Free The Data [PDF]

open access: possible, 2006
The Web is an efficient way to disseminate all the data behind the conclusion given in a traditional journal documents which can provide to the user even complex data in a re-useable form but this is only useful if the data can be found and understood in context, with appropriate provenance, can be cited to a source with adequate version control and ...
openaire  

Model Free Interpretation of Monitoring Data

2006
No current methodology for detection of anomalous behavior from continuous measurement data can be reliably applied to complex structures in practical situations. This paper summarizes two methodologies for model-free data interpretation to identify and localize anomalous behavior in civil engineering structures.
Posenato, D.   +3 more
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Lock-Free Data-Structure Iterators

2013
Concurrent data structures are often used with large concurrent software. An iterator that traverses the data structure items is a highly desirable interface that often exists for sequential data structures but is missing from almost all concurrent data-structure implementations.
Erez Petrank, Shahar Timnat
openaire   +1 more source

Free knot splines for biochemical data

Computer Methods and Programs in Biomedicine, 2002
The use of spline functions in the analysis of empirical two-dimensional (2-D) data (y(i), x(i)) is described. Spline functions are excellent empirical functions, which can be used with advantage instead of other ones, such as polynomials or exponentials.
Nicolas Molinari   +3 more
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Distortion-Free Data Embedding for Images

2001
One common drawback of virtually all current data embedding methods is the fact that the original image is inevitably distorted by some small amount of noise due to data embedding itself. This distortion typically cannot be removed completely due to quantization, bit-replacement, or truncation at the grayscales 0 and 255.
Miroslav Goljan   +2 more
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Approximation to Data by Splines with Free Knots

SIAM Journal on Numerical Analysis, 1978
Approximations to data by splines improve greatly if the knots are free variables. Using the B-spline representation for splines, and separating the linear and nonlinear aspects, the approximation problem reduces to nonlinear least squares in the variable knots.We describe the problems encountered in this formulation caused by the “lethargy” theorem ...
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Assembly-Free Techniques for NGS Data

2017
Sequencing technologies have undergone a considerable evolution in the last decades; the first expensive machines (appearing in the late 70s) have today been substituted by cheaper and more effective ones. At the same time, data processing evolved concurrently to face new challenges and problems posed by the new type of sequencing records.
Comin, Matteo, SCHIMD, MICHELE
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FREE DISCONTINUITY PROBLEMS WITH UNBOUNDED DATA

Mathematical Models and Methods in Applied Sciences, 1994
We prove the existence of a minimizing pair for a free discontinuity problem, i.e. a variational problem in which the unknowns are a closed set K and a function suitably smooth outside K. Examples of such problems come from pattern recognition and mathematical physics, when both “volume” energy and “surface” energy are present.
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