6,973 research outputs found
On the Efficiency-vs-Security Tradeoff in the Smart Grid
The smart grid is envisioned to significantly enhance the efficiency of
energy consumption, by utilizing two-way communication channels between
consumers and operators. For example, operators can opportunistically leverage
the delay tolerance of energy demands in order to balance the energy load over
time, and hence, reduce the total operational cost. This opportunity, however,
comes with security threats, as the grid becomes more vulnerable to
cyber-attacks. In this paper, we study the impact of such malicious
cyber-attacks on the energy efficiency of the grid in a simplified setup. More
precisely, we consider a simple model where the energy demands of the smart
grid consumers are intercepted and altered by an active attacker before they
arrive at the operator, who is equipped with limited intrusion detection
capabilities. We formulate the resulting optimization problems faced by the
operator and the attacker and propose several scheduling and attack strategies
for both parties. Interestingly, our results show that, as opposed to
facilitating cost reduction in the smart grid, increasing the delay tolerance
of the energy demands potentially allows the attacker to force increased costs
on the system. This highlights the need for carefully constructed and robust
intrusion detection mechanisms at the operator.Comment: A shorter version appears in IEEE CDC 201
The Impact of Stealthy Attacks on Smart Grid Performance: Tradeoffs and Implications
The smart grid is envisioned to significantly enhance the efficiency of
energy consumption, by utilizing two-way communication channels between
consumers and operators. For example, operators can opportunistically leverage
the delay tolerance of energy demands in order to balance the energy load over
time, and hence, reduce the total operational cost. This opportunity, however,
comes with security threats, as the grid becomes more vulnerable to
cyber-attacks. In this paper, we study the impact of such malicious
cyber-attacks on the energy efficiency of the grid in a simplified setup. More
precisely, we consider a simple model where the energy demands of the smart
grid consumers are intercepted and altered by an active attacker before they
arrive at the operator, who is equipped with limited intrusion detection
capabilities. We formulate the resulting optimization problems faced by the
operator and the attacker and propose several scheduling and attack strategies
for both parties. Interestingly, our results show that, as opposed to
facilitating cost reduction in the smart grid, increasing the delay tolerance
of the energy demands potentially allows the attacker to force increased costs
on the system. This highlights the need for carefully constructed and robust
intrusion detection mechanisms at the operator.Comment: Technical report - this work was accepted to IEEE Transactions on
Control of Network Systems, 2016. arXiv admin note: substantial text overlap
with arXiv:1209.176
An effective mass theorem for the bidimensional electron gas in a strong magnetic field
We study the limiting behavior of a singularly perturbed
Schr\"odinger-Poisson system describing a 3-dimensional electron gas strongly
confined in the vicinity of a plane and subject to a strong uniform
magnetic field in the plane of the gas. The coupled effects of the confinement
and of the magnetic field induce fast oscillations in time that need to be
averaged out. We obtain at the limit a system of 2-dimensional Schr\"odinger
equations in the plane , coupled through an effective selfconsistent
electrical potential. In the direction perpendicular to the magnetic field, the
electron mass is modified by the field, as the result of an averaging of the
cyclotron motion. The main tools of the analysis are the adaptation of the
second order long-time averaging theory of ODEs to our PDEs context, and the
use of a Sobolev scale adapted to the confinement operator
Pipe insert flow meter
CER64MSA-DBS32.October 1965.Includes bibliographical references
Inclusive B-Meson Production at the LHC in the GM-VFN Scheme
We calculate the next-to-leading-order cross section for the inclusive
production of B mesons in pp collisions in the general-mass
variable-flavor-number scheme, an approach which takes into account the finite
mass of the b quarks. We use realistic evolved non-perturbative fragmentation
functions obtained from fits to e+e- data and compare results for the
transverse-momentum and rapidity distributions at a center-of-mass energy of 7
TeV with recent data from the CMS Collaboration. We find good agreement, in
particular at large values of pT.Comment: Minor changes to the text, accepted for publication in Phys. Rev.
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Elevated fetal steroidogenic activity in autism
Autism affects males more than females, giving rise to the idea that the influence of steroid hormones on early fetal brain development may be one important early biological risk factor. Utilizing the Danish Historic Birth Cohort and Danish Psychiatric Central Register, we identified all amniotic fluid samples of males born between 1993 and 1999 who later received ICD-10 (International Classification of Diseases, 10th Revision) diagnoses of autism, Asperger syndrome or PDD-NOS (pervasive developmental disorder not otherwise specified) (n=128) compared with matched typically developing controls. Concentration levels of Δ4 sex steroids (progesterone, 17α-hydroxy-progesterone, androstenedione and testosterone) and cortisol were measured with liquid chromatography tandem mass spectrometry. All hormones were positively associated with each other and principal component analysis confirmed that one generalized latent steroidogenic factor was driving much of the variation in the data. The autism group showed elevations across all hormones on this latent generalized steroidogenic factor (Cohen's d=0.37, P=0.0009) and this elevation was uniform across ICD-10 diagnostic label. These results provide the first direct evidence of elevated fetal steroidogenic activity in autism. Such elevations may be important as epigenetic fetal programming mechanisms and may interact with other important pathophysiological factors in autism
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