Non-Linear Chaotic Dynamics of Quantum Systems: Molecules in an Electromagnetic Field and Laser Systems

New Approach and Microsystem Technology to Modelling Dynamics of Atmosphere Ventilation of Industrial City and Elements of the “Green-City” Construction Technology

“…One of the negative consequences of these processes, known as man-made, is, in particular, a catastrophic increase in atmospheric pollution. About 200 million tons of carbon dioxide, more than 150 million tons of sulfur oxide, more than 500 million tons of hydrocarbons, more than 250 million tons of fine aerosols (dust), and many other harmful substances [1][2][3][4] annually emit into the atmosphere as a result of such activities. Although the development of global transport and communication systems rule out the possibility of localization of human influence on the environment, the big industrial cities are in the most difficult situation as here there are focused a huge industrial and transport complex, which is the main source of the environmental pollution, and including the atmosphere.…”

“…One of the difficult aspects of the problem is that the composition of the atmosphere of the city is influenced by many factors, which include the characteristics of pollution sources, their location on the terrain, climatic and meteorological parameters, especially the city's architecture, processes of energy and transport, dissipative and relaxation, self-cleaning and regeneration, etc. [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15]. A link between the individual factors is difficult enough, processes are mostly random.…”

“…At present time there are carried out a number of different models that allow to estimate the spatial structure of air pollution in the industrial cities, including scientific and methodical software package ISM (WMO), the American Environmental Protection Agency (AAER USA), Russian Geophysical Centre (Russia), Centre for Environment, Health and Welfare KIST (Korea) etc methods based on the laws of molecular diffusion, as well as a system of regression equations [1][2][3][4][5]. The most of these models have a number of fundamental flaws (model flare or molecular diffusion principle does not work if the atmosphere contains elements of convective instability) and at the application.…”

A Novel Combined Chaos-Geometric and Vibration Blind Source Monitoring Approach to Damage Analysis and Detection of Engineering Structures (Nuclear Power Plants) Under Varying Environmental, Operational Conditions and Emergency Accidents

“…A certain one-sidedness of the vibrodiagnostic methods, based primarily on the primary Fourier transform of the signal, does not allow for an integrated approach to solving the problem. The wide spread and more advanced methodologies such as wavelet analysis, subspace-based identification methodologies, regression analysis, singular value decomposition, auto-associative neural network and factor analysis under situation, dyanical systems and chaos theory methods [5][6][7][8][9][10] etc have been discussed.…”

“…In this paper for the first time we present and apply a novel computational approach to modelling, analysis (further prediction) of a chaotic behaviour of structural dynamic properties of the engineering structures, based on earlier developed chaos-geometric and vibration blind source monitoring approach. In the concrete realization the novel approach includes a combined group of blind source monitoring , non-linear analysis and chaos theory methods such as a correlation integral approach, average mutual information, surrogate data, false nearest neighbours algorithms, the Lyapunov's exponents and Kolmogorov entropy analysis, nonlinear prediction models etc [5][6][7][8][9][10][11]. As illustration we present the results of the numerical investigation of a chaotic elements in dynamical parameter time series for the experimental cantilever beam (the forcing and environmental conditions are imitated by the damaged structure, the variable temperature and availability of the pink-noise force).…”