1,231 research outputs found
Total Quantum Zeno effect and Intelligent States for a two level system in a squeezed bath
In this work we show that by frequent measurements of adequately chosen
observables, a complete suppression of the decay in an exponentially decaying
two level system interacting with a squeezed bath is obtained. The observables
for which the effect is observed depend on the the squeezing parameters of the
bath. The initial states which display Total Zeno Effect are intelligent states
of two conjugate observables associated to the electromagnetic fluctuations of
the bath.Comment: 5 pages, 3 figure
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Magnetotail energy dissipation during an auroral substorm.
Violent releases of space plasma energy from the Earth's magnetotail during substorms produce strong electric currents and bright aurora. But what modulates these currents and aurora and controls dissipation of the energy released in the ionosphere? Using data from the THEMIS fleet of satellites and ground-based imagers and magnetometers, we show that plasma energy dissipation is controlled by field-aligned currents (FACs) produced and modulated during magnetotail topology change and oscillatory braking of fast plasma jets at 10-14 Earth radii in the nightside magnetosphere. FACs appear in regions where plasma sheet pressure and flux tube volume gradients are non-collinear. Faster tailward expansion of magnetotail dipolarization and subsequent slower inner plasma sheet restretching during substorm expansion and recovery phases cause faster poleward then slower equatorward movement of the substorm aurora. Anharmonic radial plasma oscillations build up displaced current filaments and are responsible for discrete longitudinal auroral arcs that move equatorward at a velocity of about 1km/s. This observed auroral activity appears sufficient to dissipate the released energy
Convergence of finite volume scheme for degenerate parabolic problem with zero flux boundary condition
This note is devoted to the study of the finite volume methods used in the discretization of degenerate parabolic-hyperbolic equation with zero-flux boundary condition. The notion of an entropy-process solution, successfully used for the Dirichlet problem, is insufficient to obtain a uniqueness and convergence result because of a lack of regularity of solutions on the boundary. We infer the uniqueness of an entropy-process solution using the tool of the nonlinear semigroup theory by passing to the new abstract notion of integral-process solution. Then, we prove that numerical solution converges to the unique entropy solution as the mesh size tends to 0
Modern data protection methods in russian device as example
Π ΡΡΠ°ΡΡΠ΅ ΡΠ°ΡΡΠΌΠ°ΡΡΠΈΠ²Π°Π΅ΡΡΡ Π°Π½Π°Π»ΠΈΡΠΈΡΠ΅ΡΠΊΠΎΠ΅ ΠΌΠ½Π΅Π½ΠΈΠ΅ ΠΈ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΡ ΠΎΠΏΡΠΎΡΠΎΠ² ΠΊΡΡΠΏΠ½ΡΡ
ΠΊΠΎΠΌΠΏΠ°Π½ΠΈΠΉ Π½Π° ΠΏΡΠ΅Π΄ΠΌΠ΅Ρ ΡΡΠ΅ΡΠ±Π° ΠΎΡ ΡΡΠ΅ΡΠ΅ΠΊ ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΈ, Π²ΡΡΡΠ½ΠΈΠ»ΠΎΡΡ, ΡΡΠΎ ΠΏΠΎΡΡΠΈ 90% ΠΊΠΎΠΌΠΏΠ°Π½ΠΈΠΉ ΡΡΡΠ°Π΄Π°ΡΡ ΠΎΡ ΡΡΠ΅ΡΠ΅ΠΊ ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΈ, Π½Π΅ ΠΈΠΌΠ΅ΡΡ ΡΠ»ΡΡΠ°Π΅Π² ΡΡΠ΅ΡΠΊΠΈ ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΈ, ΠΊΠΎΡΠΎΡΡΠ΅ ΠΌΠΎΠ³ΡΡ ΠΏΡΠΈΠ½Π΅ΡΡΠΈ ΡΡΠ΅ΡΠ± ΡΠΎΠ»ΡΠΊΠΎ 8% ΠΊΠΎΠΌΠΏΠ°Π½ΠΈΠΉ. ΠΡΠΈΠ²Π΅Π΄Π΅Π½Π° ΠΊΠ»Π°ΡΡΠΈΡΠΈΠΊΠ°ΡΠΈΡ ΡΠ³ΡΠΎΠ· ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΎΠ½Π½ΠΎΠΉ Π±Π΅Π·ΠΎΠΏΠ°ΡΠ½ΠΎΡΡΠΈ, Π²ΡΠ΄Π΅Π»Π΅Π½Ρ ΡΠ»ΡΡΠ°ΠΉΠ½ΡΠ΅ ΠΈ ΠΏΡΠ΅Π΄Π½Π°ΠΌΠ΅ΡΠ΅Π½Π½ΡΠ΅ ΡΠΈΠΏΡ ΡΠ³ΡΠΎΠ·. Π Π°ΡΡΠΌΠ°ΡΡΠΈΠ²Π°ΡΡΡΡ ΠΏΠΎΡΠ»Π΅Π΄ΡΡΠ²ΠΈΡ ΠΈΡΠΏΠΎΠ»Π½Π΅Π½ΠΈΡ ΡΠ³ΡΠΎΠ· Π±Π΅Π·ΠΎΠΏΠ°ΡΠ½ΠΎΡΡΠΈ: ΡΠ°Π·ΡΡΡΠ΅Π½ΠΈΠ΅ ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΈ, ΠΌΠΎΠ΄ΠΈΡΠΈΠΊΠ°ΡΠΈΡ, Π΄ΠΎΡΡΡΠΏ ΡΡΠ΅ΡΡΠΈΡ
Π»ΠΈΡ. Π’Π°ΠΊΠΆΠ΅ ΠΏΡΠΈΠ²Π΅Π΄Π΅Π½Π° ΡΡ
Π΅ΠΌΠ° ΠΎΠ±ΠΌΠ΅Π½Π° ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠ΅ΠΉ ΠΌΠ΅ΠΆΠ΄Ρ Π΄Π²ΡΠΌΡ ΡΡΠ±ΡΠ΅ΠΊΡΠ°ΠΌΠΈ Ρ ΠΏΠΎΠ΄ΡΠΎΠ±Π½ΡΠΌ ΡΠ°ΡΡΠΌΠΎΡΡΠ΅Π½ΠΈΠ΅ΠΌ ΡΡΠ°ΠΏΠΎΠ², Π½Π° ΠΊΠΎΡΠΎΡΡΡ
ΠΌΠΎΠΆΠ΅Ρ Π±ΡΡΡ ΠΏΠΎΠ»ΡΡΠ΅Π½ Π½Π΅ΡΠ°Π½ΠΊΡΠΈΠΎΠ½ΠΈΡΠΎΠ²Π°Π½Π½ΡΠΉ Π΄ΠΎΡΡΡΠΏ ΠΊ ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΈ. ΠΡΠΈΠ²ΠΎΠ΄ΡΡΡΡ ΡΠΏΠΎΡΠΎΠ±Ρ Π·Π°ΡΠΈΡΡ ΠΎΡ ΡΠ°Π·Π»ΠΈΡΠ½ΡΡ
ΡΠ³ΡΠΎΠ· Π½Π° ΠΊΠ°ΠΆΠ΄ΠΎΠΌ ΡΡΠ°ΠΏΠ΅ ΠΏΠ΅ΡΠ΅Π΄Π°ΡΠΈ ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΈ. ΠΡΠΎΠ±ΠΎΠ΅ Π²Π½ΠΈΠΌΠ°Π½ΠΈΠ΅ ΡΠ΄Π΅Π»Π΅Π½ΠΎ ΠΌΠ΅ΡΠΎΠ΄Π°ΠΌ Π°ΡΡΠ΅Π½ΡΠΈΡΠΈΠΊΠ°ΡΠΈΠΈ Π΄Π»Ρ ΠΏΠΎΠ»ΡΡΠ΅Π½ΠΈΡ Π°Π²ΡΠΎΡΠΈΠ·Π°ΡΠΈΠΈ Π΄ΠΎΡΡΡΠΏΠ° ΠΊ ΡΠ΅ΡΡΡΡΠ°ΠΌ ΡΠΈΡΡΠ΅ΠΌΡ. ΠΡΠ°ΡΠΊΠΎ ΡΠ°ΡΡΠΌΠ°ΡΡΠΈΠ²Π°Π΅ΡΡΡ Π½ΠΎΠ²ΠΎΠ΅ ΡΠΎΡΡΠΈΠΉΡΠΊΠΎΠ΅ ΡΡΡΡΠΎΠΉΡΡΠ²ΠΎ ΠΈ Π΅Π³ΠΎ ΡΠ½ΠΈΠΊΠ°Π»ΡΠ½ΡΠ΅ ΡΡΠ½ΠΊΡΠΈΠΈ Π² ΡΡΠ°Π²Π½Π΅Π½ΠΈΠΈ Ρ ΡΡΡΠ΅ΡΡΠ²ΡΡΡΠΈΠΌΠΈ ΠΊΡΠΈΠΏΡΠΎΠ³ΡΠ°ΡΠΈΡΠ΅ΡΠΊΠΈΠΌΠΈ ΡΡΠ΅Π΄ΡΡΠ²Π°ΠΌΠΈ Π·Π°ΡΠΈΡΡ ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΈ.In this article viewed analytic opinion and companyβs interview results about damage from information leaks, revealed that near 90% companies suffer from information leaks, only 8% of companies not suffer from leaks. Show information security threats classification, allocated casual and intentional threats types. Show consequences information threats execution: information damage, modify, unauthorized access. Also view information exchange structure between two subjects with detailed description every phase, which contain way for unauthorized access. Observe different ways for protect from any threats in every phase of data transfer. Emphasis paid to authentication methods for authorized access to system resources. Brief observe new Russian device with unique features in compare with existing cryptographic data protection devices
Analysis of ecopsychological types of interactions in medical institution environment
The study is based on the intersection of ecopsychological and subjective approaches and devoted to the research of psychological conditions for interaction of medical personnel in medical institution environmen
Anharmonic oscillatory flow braking in the Earth's magnetotail
Plasma sheet bursty bulk flows often oscillate around their equilibrium position at about 10βREdowntail. The radial magnetic field, pressure, and flux tube volume profiles usually behave differently earthward and tailward of this position. Using data from five Time History of Events and Macroscale Interactions during Substorms (THEMIS) probes, we reconstruct these profiles with the help of an empirical model and apply thin filament theory to show that the oscillatory flow braking can occur in an asymmetric potential. Thus, the thin filament oscillations appear to be anharmonic, with a power spectrum exhibiting peaks at both the fundamental frequency and the first harmonic. Such anharmonic oscillatory braking can explain the presence of the first harmonic in Pi2 pulsations (frequency doubling), which are simultaneously observed by magnetometers on the ground near the conjugate THEMIS footprints
In situ visualization of Ni-Nb bulk metallic glasses phase transition
We report the results of the Ni-based bulk metallic glass structural
evolution and crystallization behavior in situ investigation. The X-ray
diffraction (XRD), transmission electron microscopy (TEM), nano-beam
diffraction (NBD), differential scanning calorimetry (DSC), radial distribution
function (RDF) and scanning probe microscopy/spectroscopy (STM/STS) techniques
were applied to analyze the structure and electronic properties of Ni63.5Nb36.5
glasses before and after crystallization. It was proved that partial surface
crystallization of Ni63.5Nb36.5 can occur at the temperature lower than for the
full sample crystallization. According to our STM measurements the primary
crystallization is originally starting with the Ni3Nb phase formation. It was
shown that surface crystallization drastically differs from the bulk
crystallization due to the possible surface reconstruction. The mechanism of
Ni63.5Nb36.5 glass alloy 2D-crystallization was suggested, which corresponds to
the local metastable (3x3)-Ni(111) surface phase formation. The possibility of
different surface nano-structures development by the annealing of the
originally glassy alloy in ultra high vacuum at the temperature lower, than the
crystallization temperature was shown. The increase of mean square surface
roughness parameter Rq while moving from glassy to fully crystallized state can
be caused by concurrent growth of Ni3Nb and Ni6Nb7 bulk phases. The simple
empirical model for the estimation of Ni63.5Nb36.5 cluster size was suggested,
and the obtained values (7.64 A, 8.08 A) are in good agreement with STM
measurements data (8 A-10 A)
ΠΠΎΡΡΡΠΎΠ΅Π½ΠΈΠ΅ ΠΌΠ°ΡΠ΅ΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΌΠΎΠ΄Π΅Π»ΠΈ ΠΌΠ΅Ρ Π°Π½ΠΈΠ·ΠΌΠ° ΠΏΡΠΈΠ²ΠΎΠ΄Π° Π½ΠΎΠΆΠ° Π±ΡΠΌΠ°Π³ΠΎΡΠ΅Π·Π°Π»ΡΠ½ΠΎΠΉ ΠΌΠ°ΡΠΈΠ½Ρ ΠΠ -125
ΠΠΎΠ±ΡΠ΄ΠΎΠ²Π°Π½Π° ΠΌΠ°ΡΠ΅ΠΌΠ°ΡΠΈΡΠ½Π° ΠΌΠΎΠ΄Π΅Π»Ρ ΡΠ°ΡΠ½ΡΡΠ½ΠΎ-Π²Π°ΠΆΡΠ»ΡΠ½ΠΎΠ³ΠΎ ΠΌΠ΅Ρ
Π°Π½ΡΠ·ΠΌΡ, ΡΠΊ ΡΠΈΡΡΠ΅ΠΌΠΈ ΡΡΠ²Π½ΡΠ½Ρ, ΡΠΎ Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΠ·ΡΡΡΡ ΡΡΠ°Π½ ΠΌΠ΅Ρ
Π°Π½ΡΠ·ΠΌΡ Ρ ΠΊΠΎΠΆΠ΅Π½ ΠΌΠΎΠΌΠ΅Π½Ρ ΡΠ°ΡΡ. Π ΠΎΠ·ΡΠΎΠ±Π»Π΅Π½ΠΎ ΠΏΡΠΈΠΊΠ»Π°Π΄Π½Ρ ΠΏΡΠΎΠ³ΡΠ°ΠΌΡ Π΄Π»Ρ ΠΏΡΠΎΠ²Π΅Π΄Π΅Π½Π½Ρ ΠΏΠΎΠ²Π½ΠΎΠ³ΠΎ ΠΊΡΠ½Π΅ΠΌΠ°ΡΠΈΡΠ½ΠΎΠ³ΠΎ Π°Π½Π°Π»ΡΠ·Ρ Π½Π° ΠΏΡΠΈΠΊΠ»Π°Π΄Ρ ΠΏΡΠΈΠ²ΠΎΠ΄Ρ ΠΎΠ΄Π½ΠΎΠ½ΠΎΠΆΠ΅Π²ΠΎΡ ΠΏΠ°ΠΏΠ΅ΡΠΎΡΡΠ·Π°Π»ΡΠ½ΠΎΡ ΠΌΠ°ΡΠΈΠ½ΠΈ ΠΠ -125. Π ΠΎΠ·ΡΠΎΠ±Π»Π΅Π½ΠΎ ΠΌΠ΅ΡΠΎΠ΄ ΠΏΠΎΠ±ΡΠ΄ΠΎΠ²ΠΈ ΠΌΠ°ΡΠ΅ΠΌΠ°ΡΠΈΡΠ½ΠΎΡ ΠΌΠΎΠ΄Π΅Π»Ρ ΡΠ°ΡΠ½ΡΡΠ½ΠΎ-Π²Π°ΠΆΡΠ»ΡΠ½ΠΎΠ³ΠΎ ΠΌΠ΅Ρ
Π°Π½ΡΠ·ΠΌΡ 3-Π³ΠΎ ΠΊΠ»Π°ΡΡ Π· Π·Π°ΡΡΠΎΡΡΠ²Π°Π½Π½ΡΠΌ ΠΠ Β«MapleΒ». Π ΠΎΠ·Π³Π»ΡΠ½ΡΡΠΎ ΠΌΠ΅ΡΠΎΠ΄ΠΈΠΊΡ Π΄ΠΈΡΠΊΡΠ΅ΡΠ½ΠΎΠ³ΠΎ ΡΠΎΠ·ΡΠ°Ρ
ΡΠ½ΠΊΡ ΠΊΡΠ½Π΅ΠΌΠ°ΡΠΈΡΠ½ΠΈΡ
Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΡΡΠΈΠΊ Π»Π°Π½ΠΎΠΊ ΠΏΡΠΎΡΡΠ³ΠΎΠΌ ΡΠΎΠ±ΠΎΡΠΎΠ³ΠΎ ΡΠΈΠΊΠ»Ρ. ΠΡΠΎΠ²Π΅Π΄Π΅Π½ΠΎ ΠΊΡΠ½Π΅ΠΌΠ°ΡΠΈΡΠ½ΠΈΠΉ ΡΠΎΠ·ΡΠ°Ρ
ΡΠ½ΠΎΠΊ Π½Π° ΠΏΡΠΈΠΊΠ»Π°Π΄Ρ ΠΏΡΠΈΠ²ΠΎΠ΄Ρ ΠΠ Π ΠΠ -125. Π‘ΡΠ²ΠΎΡΠ΅Π½ΠΎ Π±Π°Π·Ρ Π΄Π»Ρ ΠΏΡΠΎΠ²Π΅Π΄Π΅Π½Π½Ρ ΡΠΈΠ»ΠΎΠ²ΠΎΠ³ΠΎ Π°Π½Π°Π»ΡΠ·Ρ.Construction of mathematical models of lever mechanism as a system of equations characterizing the mechanism in each moment. Development application for a full kinematic analysis on example of drive mechanism of one-knife papercutter machine BR-125. Developed an original method for constructing mathematical models of 3rd class lever mechanism on example of drive mechanism of one-knife papercutter BR-125. In the calculations used mathematical programming package Β«MapleΒ». The method of calculating the kinematic characteristics of discrete units during the working cycle was described. This was determined by the coordinates of the fixed points of chains depending on the angle of rotation of the input chain using the method of geometric bindings. These were based on interpolated using Lagrandzh polynoms and differentiated for velocity and acceleration of these points. As a result of the work were obtained kinematic characteristics (speed, acceleration) of the main points of the mechanism and established framework for power analysis.Π Π°Π·ΡΠ°Π±ΠΎΡΠ°Π½ ΠΌΠ΅ΡΠΎΠ΄ ΠΏΠΎΡΡΡΠΎΠ΅Π½ΠΈΡ ΠΌΠ°ΡΠ΅ΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΌΠΎΠ΄Π΅Π»ΠΈ ΡΠ°ΡΠ½ΠΈΡΠ½ΠΎ-ΡΡΡΠ°ΠΆΠ½ΠΎΠ³ΠΎ ΠΌΠ΅Ρ
Π°Π½ΠΈΠ·ΠΌΠ° 3-Π³ΠΎ ΠΊΠ»Π°ΡΡΠ° Ρ ΠΏΡΠΈΠΌΠ΅Π½Π΅Π½ΠΈΠ΅ΠΌ ΠΠ Β«MapleΒ». Π Π°ΡΡΠΌΠΎΡΡΠ΅Π½Π° ΠΌΠ΅ΡΠΎΠ΄ΠΈΠΊΠ° Π΄ΠΈΡΠΊΡΠ΅ΡΠ½ΠΎΠ³ΠΎ ΡΠ°ΡΡΠ΅ΡΠ° ΠΊΠΈΠ½Π΅ΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠΈΡ
Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΡΡΠΈΠΊ Π·Π²Π΅Π½ΡΠ΅Π² Π² ΡΠ΅ΡΠ΅Π½ΠΈΠΈ ΡΠ°Π±ΠΎΡΠ΅Π³ΠΎ ΡΠΈΠΊΠ»Π°. ΠΡΠΎΠ²Π΅Π΄Π΅Π½ ΠΊΠΈΠ½Π΅ΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠΈΠΉ ΡΠ°ΡΡΠ΅Ρ Π½Π° ΠΏΡΠΈΠΌΠ΅ΡΠ΅ ΠΌΠ΅Ρ
Π°Π½ΠΈΠ·ΠΌΠ° ΠΏΡΠΈΠ²ΠΎΠ΄Π° ΠΠ Π ΠΠ -125. Π‘ΠΎΠ·Π΄Π°Π½Π° Π±Π°Π·Π° Π΄Π»Ρ ΠΏΡΠΎΠ²Π΅Π΄Π΅Π½ΠΈΡ ΡΠΈΠ»ΠΎΠ²ΠΎΠ³ΠΎ Π°Π½Π°Π»ΠΈΠ·Π°
- β¦