Dynamically Driven Protein Allostery Exhibits Disparate Responses for Fast and Slow Motions

Use of Surveillance cameras in houses and markets became common, that resulted to minimize theft and make it a difficult task because it let recording and viewing what is going around. The wide application of these cameras, pushed thieves to seek new ways for abolition of the surveillance system and digital recording of events, such as cutting the signal wire between the camera and Digital video recorder or changing the direction of the camera away from the focus spot or damaging the camera or steal the device which means the loss of the recorded media. This paper focuses on such abolitions and fixed it by suggesting a way to notify the administrator immediately and automatically by Email about any violation of the system using MATLAB, which allow fast action by the administrator to fix such tampering. The results show that selecting of threshold equal to two was fair in detecting motion and value of five, in case of changing the camera direction through testing of fast and slow motions. http://dx.doi.org/10.25130/tjps.24.2019.039

Download Full-text

STOCHASTIC VERSIONS OF ANOSOV'S AND NEISTADT'S THEOREMS ON AVERAGING

Stochastics and Dynamics ◽

10.1142/s0219493701000023 ◽

2001 ◽

Vol 01 (01) ◽

pp. 1-21 ◽

Cited By ~ 19

Author(s):

YURI KIFER

Keyword(s):

Differential Equations ◽

Stochastic Differential Equations ◽

Hamiltonian Systems ◽

Initial Conditions ◽

Slow Motion ◽

Averaging Principle ◽

Integrable Hamiltonian Systems ◽

Constant Energy ◽

Slow Motions ◽

Fast And Slow Motions

In systems which combine slow and fast motions the averaging principle says that a good approximation of the slow motion can be obtained by averaging its parameters in fast variables. This setup arises, for instance, in perturbations of Hamiltonian systems where motions on constant energy manifolds are fast and across them are slow. When these perturbations are deterministic Anosov's theorem says that the averaging principle works except for a small in measure set of initial conditions while Neistadt's theorem gives error estimates in the case of perturbations of integrable Hamiltonian systems. These results are extended here to the case of fast and slow motions given by stochastic differential equations.

Download Full-text

The Structural Stability of the US Regions: Evidence and Theoretical Underpinnings

Environment and Planning A Economy and Space ◽

10.1068/a161433 ◽

1984 ◽

Vol 16 (11) ◽

pp. 1433-1443 ◽

Cited By ~ 7

Author(s):

D S Dendrinos

Keyword(s):

Maximum Entropy Principle ◽

Dynamic Structure ◽

Policy Implications ◽

The Us ◽

Entropy Principle ◽

Regional Population ◽

Slow Motions ◽

Per Capita ◽

Fast And Slow Motions

A follow-up to a recent paper on the US regional dynamic structure is presented. Taking off from the previous work, where a system of two coupled ordinary differential equations on relative regional population and per-capita income was formulated and tested, the present paper outlines certain theoretical ramifications. They include: the derivation of a regional potential, fast and slow motions, and a two-time-scale maximum-entropy principle. Some policy implications are drawn.

Download Full-text