Готові списки джерел за темами / Chaos Detection

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Опубліковано: 8 червня 2024

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Статті в журналах з теми "Chaos Detection":

Fraser, Andrew M. "Chaos and detection." Physical Review E 53, no. 5 (May 1, 1996): 4514–23. http://dx.doi.org/10.1103/physreve.53.4514.

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VIBE, KARIN, and JEAN-MARC VESIN. "ON CHAOS DETECTION METHODS." International Journal of Bifurcation and Chaos 06, no. 03 (March 1996): 529–43. http://dx.doi.org/10.1142/s0218127496000230.

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Reliable chaos detection in real-world time series is attracting increasing attention in the scientific community. This work shows that it is possible to use chaos analysis methods such as attractor dimension estimation, Lyapunov exponents estimation and nonlinear prediction, under the condition that the limitations and drawbacks of the algorithms used are kept in mind. Three existing algorithms for chaos characterization are analyzed in terms of classification performances and robustness with respect to noise and data length. It is shown that all three help detect chaos and even classify different types of signals, but that their results are not devoid of ambiguity. An illustrative example is given, in which the algorithms presented are applied to heart rate variability signals, and directions of research are proposed for the design of a straightforward and simple chaos detection methodology.

Cai, Ming Shan. "Weak Signal Detection Principle Based on Chaotic Duffing Oscillator and its Simulation Method." Advanced Materials Research 108-111 (May 2010): 834–37. http://dx.doi.org/10.4028/www.scientific.net/amr.108-111.834.

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Based on Matlab as the software platform, chaos detection principle and methods used for weak signals detection are studied. The model used for simulation is established, then the simulation results of weak periodic signal detection in strong noise atmosphere are given and the steps for detecting weak signals with chaos method are listed. Furthermore, the influence of sampling period on system’s performance is studied. Simulation results show that the chao detection approach proposed in this paper can detect the signal even if it is small to 10-10v, and even when it is in the environment with strong noise, small signal with magnitude of only 5×10-9 v can be found. Chaos method has strong capability for weak signal detection which lay important foundation for exploiting virtual instrument.

Setoudeh, Farbod, Ali Khaki Sedigh, and Mohsen Najafi. "A Novel Method for Chaos Detection in Heavy Noisy Environments Based on Distribution of Energy." International Journal of Bifurcation and Chaos 29, no. 13 (December 10, 2019): 1950179. http://dx.doi.org/10.1142/s0218127419501797.

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Detecting chaos in heavy-noise environments is an important issue in many fields of science and engineering. In this paper, first, a new criterion is proposed to recognize chaos from noise based on the distribution of energy. Then, a new method based on stationary wavelet transform (SWT) is presented for chaos detection that is recommended for data that contain more than 60% noise. This method is dependent on the distribution of signal’s energy in different frequency bands based on SWT for chaos detection which is robust to noisy environments. In this method, the effect of white noise and colored noise on the chaotic system is considered. As a case study, the proposed method is applied to detect chaos in two different oscillators based on memristor and memcapacitor. The simulation results are used to display the main points of the paper.

Wu, Dan Hui, and Xin Wu. "Research on the Influence of Noise to Weak Signal Detection Based on Duffing Equation." Applied Mechanics and Materials 65 (June 2011): 5–8. http://dx.doi.org/10.4028/www.scientific.net/amm.65.5.

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In view of existing questions of misjudgment, low efficiency, and error in detecting weak signal using chaos critical state. The basic form of Duffing equation is firstly established and analyzed in this paper; and then, it describes the principle of weak signal detection based on the change of phase trace; The influence of Noise to weak signal detection performance is researched using chaos critical state detection method; Stochastic resonance phenomenon of the small-signal two-dimensional nonlinear system is found, and that, the research in the paper provides some foundation for enhancing detection signal SNR under the strong noise background and a new way for detecting weal signal using stochastic resonance

Cheng, Feng Qin, and Yao Wu Shi. "Random Phase Weak Sine Signal Detection Based on Autocorrelation and Chaos Theory." Applied Mechanics and Materials 397-400 (September 2013): 2129–33. http://dx.doi.org/10.4028/www.scientific.net/amm.397-400.2129.

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The paper expounds the basic principle of the weak signal detection on chaotic system at first , according to the actual situation that the signal phase is unknown Received in the communication and radar systems, a new chaos detection model is presented based on traditional chaos system, combined with autocorrelation detection technology , completed the random phase weak sinusoidal signal detection. The simulation analysis indicates that the proposed method succeeds in detecting Random Phase weak sinusoidal signal, and furthermore the signal-to-noise threshold is lower than either autocorrelation or chaotic oscillator.

Manas Kumar Yogi. "Investigating the Scope of Chaos Theory for Cyber Threat Detection." Journal of Trends in Computer Science and Smart Technology 5, no. 3 (September 2023): 266–83. http://dx.doi.org/10.36548/jtcsst.2023.3.004.

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The role of chaos theory in the development of cyber threat detection systems is primarily exploratory and theoretical, with limited practical adoption in recent years. Chaos theory offers interesting concepts that have the potential to enhance cyber threat detection capabilities, but its application in the cybersecurity industry faces challenges and limitations. While chaos theory's practical role in cyber threat detection systems remains limited, its principles have the potential to complement existing methodologies and inspire new approaches to address the complex and dynamic nature of cybersecurity threats. As the field progresses, staying informed about the latest research and developments can help gauge the future scope and impact of chaos theory in cyber threat detection. In this paper, the roles and the principles of chaos theory are investigated and this investigation has indicators representing ample scope of chaos theory in design and development of robust frameworks related to cyber threat detection.

Haykin, S., and Xiao Bo Li. "Detection of signals in chaos." Proceedings of the IEEE 83, no. 1 (1995): 95–122. http://dx.doi.org/10.1109/5.362751.

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Mohammed, Sarah Sabah, and Maher K. Mahmood Al-Azawi. "Performance comparison of some weak signal detection techniques." Indonesian Journal of Electrical Engineering and Computer Science 26, no. 2 (May 1, 2022): 732. http://dx.doi.org/10.11591/ijeecs.v26.i2.pp732-742.

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Performance comparison of some weak signal detection techniques is introduced. This comparison is very necessary since different applications require different operating conditions such as signal to noise ratio SNR, bandwidth, coherency, processing time and complexity. Three methods for detecting weak signals are considered. These are based on chaos theory, wavelet transform, and stocastic resonance. A detection algorithm based on a rectangular region in phase space plane is suggested in chaos method. The stocastic resonance method is considered in this research, as it is used for signal detection in underwater at a certain frequency. Simulation results obtained from MATLAB programs verify the studied methods giving an estimation of probability of detection and probability of false alarm versus SNR.

Chang, Shun-Chang. "Stability, Chaos Detection, and Quenching Chaos in the Swing Equation System." Mathematical Problems in Engineering 2020 (December 23, 2020): 1–12. http://dx.doi.org/10.1155/2020/6677084.

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The main objective of this study is to explore the complex nonlinear dynamics and chaos control in power systems. The rich dynamics of power systems were observed over a range of parameter values in the bifurcation diagram. Also, a variety of periodic solutions and nonlinear phenomena could be expressed using various numerical skills, such as time responses, phase portraits, Poincaré maps, and frequency spectra. They have also shown that power systems can undergo a cascade of period-doubling bifurcations prior to the onset of chaos. In this study, the Lyapunov exponent and Lyapunov dimension were employed to identify the onset of chaotic motion. Also, state feedback control and dither signal control were applied to quench the chaotic behavior of power systems. Some simulation results were shown to demonstrate the effectiveness of these proposed control approaches.

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Дисертації з теми "Chaos Detection":

Schneider, Judith. "Dynamical structures and manifold detection in 2D and 3D chaotic flows." Phd thesis, [S.l. : s.n.], 2004. http://deposit.ddb.de/cgi-bin/dokserv?idn=973637420.

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Engler, Joseph John. "Characterization of normality of chaotic systems including prediction and detection of anomalies." Diss., University of Iowa, 2011. https://ir.uiowa.edu/etd/961.

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Accurate prediction and control pervades domains such as engineering, physics, chemistry, and biology. Often, it is discovered that the systems under consideration cannot be well represented by linear, periodic nor random data. It has been shown that these systems exhibit deterministic chaos behavior. Deterministic chaos describes systems which are governed by deterministic rules but whose data appear to be random or quasi-periodic distributions. Deterministically chaotic systems characteristically exhibit sensitive dependence upon initial conditions manifested through rapid divergence of states initially close to one another. Due to this characterization, it has been deemed impossible to accurately predict future states of these systems for longer time scales. Fortunately, the deterministic nature of these systems allows for accurate short term predictions, given the dynamics of the system are well understood. This fact has been exploited in the research community and has resulted in various algorithms for short term predictions. Detection of normality in deterministically chaotic systems is critical in understanding the system sufficiently to able to predict future states. Due to the sensitivity to initial conditions, the detection of normal operational states for a deterministically chaotic system can be challenging. The addition of small perturbations to the system, which may result in bifurcation of the normal states, further complicates the problem. The detection of anomalies and prediction of future states of the chaotic system allows for greater understanding of these systems. The goal of this research is to produce methodologies for determining states of normality for deterministically chaotic systems, detection of anomalous behavior, and the more accurate prediction of future states of the system. Additionally, the ability to detect subtle system state changes is discussed. The dissertation addresses these goals by proposing new representational techniques and novel prediction methodologies. The value and efficiency of these methods are explored in various case studies. Presented is an overview of chaotic systems with examples taken from the real world. A representation schema for rapid understanding of the various states of deterministically chaotic systems is presented. This schema is then used to detect anomalies and system state changes. Additionally, a novel prediction methodology which utilizes Lyapunov exponents to facilitate longer term prediction accuracy is presented and compared with other nonlinear prediction methodologies. These novel methodologies are then demonstrated on applications such as wind energy, cyber security and classification of social networks.

Xu, Yanjun. "Modulation and detection schemes based on chaotic attractors properties : application to wideband transmissions." Toulouse, INSA, 2009. http://eprint.insa-toulouse.fr/archive/00000278/.

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Au cours des vingt dernières années, les systèmes de communications basés sur le chaos ont été étudiés, avec pour objectif la possibilité de générer les signaux large-bande par des circuits électroniques simples, permettant une faible complexité des circuits émetteurs-récepteurs. Cette thèse concerne l’étude de systèmes de transmissions large-bande basés sur le chaos, en utilisant certaines propriétés des attracteurs chaotiques. Tout d’abord, un système dynamique a été choisi et étudié, permettant de générer des signaux chaotiques qui possèdent des composantes périodiques. L’analyse de ces attracteurs chaotiques cycliques (CCA) met en évidence des propriétés spécifiques en lien avec leur période. Ensuite, deux schémas de modulation basés sur les CCAs sont proposés. Les détections non-cohérentes associées sont réalisées par l’observation des propriétés spécifiques des signaux rec¸us. L’évaluation des performances des systèmes basés sur les CCAs dans le cas d’un canal de bruit additif Gaussien montre des performances meilleures que celles des systèmes dits ”differential chaos shift keying (DCSK)”, en bas débit de symboles. En outre, les performances dans le cas multi-trajet sont comparables dans la bande de 2,4 GHz
In the past twenty years, chaos-based communication systems have been studied, considering the possibility of generating wideband signals by simple electronic circuits, hence low complexity in transceiver. The aim of this thesis is to study the chaos-based wideband transmission systems relying on the properties of chaotic attractors. Firstly, a dynamical system is selected and studied, allowing to generate the chaotic signals with a periodic component. The analysis of such chaotic cyclic attractors (CCA) shows the specific properties. Then, two CCA-based modulation schemes are proposed, with the simple noncoherent detections realized by observing the specific properties of the received signals. The performance evaluation of CCA-based systems in the additive white Gaussian noise (AWGN) channel shows a better noise performance with long symbol duration, compared to the one of differentially chaos shift keying (DCSK). In addition, they have a comparable multipath performance in the 2. 4 GHz ISM environment

Ghosh, Dastidar Samanwoy. "Models of EEG data mining and classification in temporal lobe epilepsy: wavelet-chaos-neural network methodology and spiking neural networks." Columbus, Ohio : Ohio State University, 2007. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1180459585.

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Ismail, Ali Rida. "Commensurable and Chaotic Nano-Contact Vortex Oscillator (NCVO) study for information processing." Electronic Thesis or Diss., Université de Lorraine, 2022. http://www.theses.fr/2022LORR0003.

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La quantité de données utilisées dans les technologies de l'information augmente considérablement. Cela s'accompagne de la prolifération de technologies électroniques très avancées. Les problèmes thermiques, résultant de ces grands processus de données, imposent l'utilisation de nouvelles technologies et de nouveaux paradigmes à la place des circuits CMOS. Les dispositifs spintroniques sont l'une des nombreuses alternatives proposées jusqu'à présent dans la littérature. Dans ce travail, nous considérons un dispositif spintronique appelé oscillateur vortex à nano-contact (NCVO), qui a récemment commencé à attirer l'attention en raison de sa dynamique riche et variable. Cet oscillateur est actionné par un courant continu de polarisation et soumis à un champ magnétique, qui détermine sa dynamique de sortie. L'utilisation pratique du NCVO nécessite l'existence d'un modèle précis qui imite son aimantation de sortie et la trajectoire du vortex tournant autour du centre dans la couche supérieure de l'appareil. Ces deux variables sont nécessaires au calcul de la résistance équivalente du NCVO. Pour cela, nous construisons dans ce travail de thèse un modèle pour le NCVO produisant ces deux variables en utilisant une approche de calcul réservoir appelée réseau piloté par conceptor. Le réseau est formé sur les données NCVO acquises par simulation micromagnétique. Le modèle construit capture avec succès la dynamique du NCVO dans ses différents régimes (chaotique, périodique et quasi-périodique) avec un passage facile entre les régimes. Le même réseau est ensuite utilisé pour la détection du chaos dans la série des temps d'entrée. La méthode de détection de chaos proposée s'est révélée efficace et plus robuste par rapport aux méthodes existantes. Enfin, le modèle NCVO est exploité pour la génération de nombres véritablement aléatoires (TRNG) où une conception matérielle, alimentée par un signal chaotique généré par le modèle, est proposée. Cette conception a montré la capacité de concurrencer les techniques RNG existantes en termes de vitesse, de coût et de qualité
The amount of data used in information technology is increasing dramatically. This comes with the proliferation of highly advanced electronic technologies. The thermal issues, rising as an effect of such large data processes, impose the usage of novel technologies and paradigms in place of CMOS circuits. Spintronic devices are one of many alternatives proposed so far in the literature. In this work, we consider a spintronic device called nano-contact vortex oscillator (NCVO), which has recently begun to gain attention due to its rich and variable dynamics. This oscillators is operated by an bias DC current and subjected in a magnetic field, that determines it output dynamics. The practical use of the NCVO requires the existence of an accurate model that imitates its output magnetization and the vortex's trajectory rotating around the center in the upper layer of the device. These two variables are needed for the calculation of the equivalent resistance of the NCVO. For that, we build in this PhD work a model for the NCVO producing these two variables using a reservoir computing approach called conceptor-driven network. The network is trained on NCVO data gained by micromagnetic simulation. The built model successfully captures the NCVO dynamics in its different regimes (chaotic, periodic, and quasi- periodic) with an easy shift between regimes. The same network is used then for the detection of chaos in the input-times series. The proposed chaos-detection method has shown to be efficient and more robust compared to existing methods. Finally, the NCVO model is exploited for truly random number generation (TRNG) where a hardware design, fed by a chaotic signal generated by the model, is proposed. This design has shown the ability to compete existing RNG techniques in terms of speed, cost, and quality

Bzikha, Ihssane. "Comparison and development of advanced wiring fault detection methods on coaxial cables." Thesis, Limoges, 2019. http://www.theses.fr/2019LIMO0119.

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Dans cette thèse, nous présentons de nouvelles approches pour la détection de défauts sur des structures filaires plus ou moins complexes. L’idée est de trouver une nouvelle approche pour surmonter les difficultés des techniques de réflectométrie standards. Tout d’abord, des techniques de débruitage doivent être appliquées, telles que la décomposition en mode empirique (EMD), la décomposition moyenne locale (LMD), ou la transformée des ondelettes discrète (DWT). Ces trois méthodes décomposent un signal en plusieurs niveaux de reconstruire un signal utile. On montre dans ce manuscrit que l’EMD est la méthode la plus efficace, bien que limitée par les effets de bords. Ensuite, l’analyse temps fréquence est utilisée afin de détecter et localiser les défauts sur le câblage. Cette approche, basée sur la transformation de Fourier, ne permet de détecter les défauts de câblage que si le niveau de bruit est faible d’où l’intérêt de la première étape de débruitage. Par ailleurs, on propose aussi une approche bayésienne utile notamment lorsque la complexité du système augmente. Sa réponse est basée sur l’estimation des paramètres et des distributions à priori. Dans ce manuscrit, l’approche bayésienne est décrite mathématiquement puis les résultats validant l’approche sont présentés en analysant en particulier les paramètres qui affectent la performance de la méthode. Enfin, nous utilisons une approche de la réflectométrie chaotique temporelle basée sur les propriétés du signal chaotique. Les résultats montrent que cette méthode est capable de synthétiser des signaux et de localiser les défauts de câblage sans prétraitement ou informations a priori
In this thesis, we present new approaches of soft fault detection and location in simple andcomplex wire networks. The idea is to find a new approach to overcome the difficulties withstandard reflectometry techniques. We prove that before applying post-treatment methods,denoising techniques should be applied, such as empirical mode decomposition (EMD), localmean decomposition (LMD), or the discrete wavelet transform (DWT). These three methodsdecompose a signal into multiple levels to threshold them before signal reconstruction.Testing several applications shows that EMD is the most efficient method, although it hassome limitations as side effects. After the denoising step, the wiring faults can be detected.Time–frequency analysis is employed at this step. This approach, based on the FourierTransform, is able to detect wiring faults only if the noise level is low. To overcome thisdifficulty, the Bayesian approach is beneficial when system complexity increases. Its responseis based on estimation of prior parameters and prior distributions. In this work, the Bayesianapproach is applied via a formal mathematical study followed by simulation results validatingthe proposed approach, with analysis of the parameters that affect the method’s performance.In the domain of soft fault location, we derive a chaos time domain reflectometry approachbased on chaotic signal properties. Our simulation and experimental results prove that thismethod can synthesize signals and localize the soft fault position without the need forsupplemental methods

Halimi, Meriem. "Observation et détection de modes pour la synchronisation des systèmes chaotiques : une approche unifiée." Electronic Thesis or Diss., Université de Lorraine, 2013. http://www.theses.fr/2013LORR0182.

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Le travail développé dans ce manuscrit porte sur la synchronisation des systèmes chaotiques. Il est articulé autour de deux axes principaux: la synthèse d'observateur et la détection de mode. Dans un premier temps, quelques rappels sur le chaos et les principales architectures de systèmes de chiffrement chaotiques sont effectués. Ensuite, nous montrons comment les systèmes chaotiques à non linéarité polynomiale ou affines à commutation peuvent se réécrire sous forme LPV polytopique. Une revue des principaux résultats sur la synthèse d'observateurs LPV polytopiques reposant sur l'utilisation des LMI est faite. Une extension des résultats aux observateurs polytopiques à entrées inconnues, à la fois dans le cas déterministe, bruité ou incertain est proposée. Ces observateurs assurent la synchronisation du chaos et donc le déchiffrement dans les systèmes de chiffrement "modulation paramétrique", "commutation chaotique", "transmission à deux canaux" et "chiffrement par inclusion". Pour les systèmes affines à commutation utilisés en tant que générateur du chaos, le cas où l'état discret n'est pas accessible est considéré. Une présentation unifiée des méthodes fondées sur les espaces de parité, proposées dans la littérature pour les systèmes linéaires et affines à commutation à temps discret, est réalisée. Le problème de discernabilité fait l'objet d'une étude approfondie. Une approche pour estimer les retards variables des systèmes affines et affines à commutation à temps discret, formulée en termes de détection de mode, est proposée en tant que solution à l'estimation de retard pour le chiffrement par injection de retard
The work developed in this manuscript addresses the synchronization of chaotic systems. It is organized around two main axes: the observer synthesis and the mode detection. In a first step, we recall the main architectures of chaotic encryption systems and show how chaotic systems with polynomial nonlinearities or switched affine dynamics can be rewritten in a polytopic LPV form. A review of the main LMI based results for polytopic LPV observers synthesis is made. An extension to polytopic unknown input observers, both in the deterministic case and noisy or uncertain case, is proposed. These observers ensure chaos synchronization and information recovering in the framework of the following encryption systems: "parametric modulation", "chaotic switching", "two channels transmission" and "inclusion encryption". For affine switched systems used as a generator of chaos, the case where the discrete state is not available is considered. A unified presentation of mode detection methods based on parity spaces proposed in the literature for linear and affine switched discrete time systems is proposed. The problem of discernibility is the subject of a complete study. An approach to estimate time varying delays for affine switched discrete time systems, formulated in terms of mode detection, is proposed as a solution for delay injection encryption

Navarro, Xavier. "Analysis of cerebral and respiratory activity in neonatal intensive care units for the assessment of maturation and infection in the early premature infant." Phd thesis, Université Rennes 1, 2013. http://tel.archives-ouvertes.fr/tel-00979727.

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This Ph.D. dissertation processes and analyzes signals from the neonatal intensive care units (NICUs) for the study of maturity, systemic infection (sepsis) and the influence of immunization in the premature newborn. A special attention is payed to the electroencephalography and the breathing signal. The former is often contaminated by several sources of noise, thus methods based on the signals decomposition and optimal noise cancellation, adapted to the characteristics of the immature EEG, were proposed and evaluated objectively on real and simulated signals. By means of the EEG and delta burst analysis, detected automatically by a proposed classifier, infant's maturation and the effects of vaccination are studied. Concerning the second signal, breathing, non-linear and fractal methods are adapted to evaluate maturity and sepsis. A robustness study of estimation methods is also conducted, showing that the Hurst exponent, estimated on respiratory variability signals, is a good detector of infection.

Halimi, Meriem. "Observation et détection de modes pour la synchronisation des systèmes chaotiques : une approche unifiée." Phd thesis, Université de Lorraine, 2013. http://tel.archives-ouvertes.fr/tel-00942426.

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Chao, Chengchung [Verfasser]. "Automatic Ultra Wideband Radar System for Life Detection of Hidden Humans / Chengchung Chao." Kiel : Universitätsbibliothek Kiel, 2012. http://d-nb.info/1028798881/34.

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Книги з теми "Chaos Detection":

Skokos, Charalampos, Georg A. Gottwald, and Jacques Laskar, eds. Chaos Detection and Predictability. Berlin, Heidelberg: Springer Berlin Heidelberg, 2016. http://dx.doi.org/10.1007/978-3-662-48410-4.

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Killough, Lee. Bridling chaos. Decatur, GA: MM Pub., 1998.

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Richards, Justin. The chaos code. New York: Bloomsbury Children's Books, 2007.

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Garcia, Kami. Agent of chaos. New York: Imprint, 2017.

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Drake, Nick. Egypt: The book of chaos. New York: HarperCollins, 2011.

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Drake, Nick. Egypt: The book of chaos. London: Bantam, 2011.

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Ruby, Laura. The chaos king. New York, NY: Eos, 2007.

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Dell, Shannon. Chaos of crime. New York: Morrow, 1985.

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Dell, Shannon. Chaos of crime. London: Gollancz, 1986.

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Dell, Shannon. Chaos of crime. New York: Morrow, 1985.

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Частини книг з теми "Chaos Detection":

Parlitz, Ulrich. "Estimating Lyapunov Exponents from Time Series." In Chaos Detection and Predictability, 1–34. Berlin, Heidelberg: Springer Berlin Heidelberg, 2016. http://dx.doi.org/10.1007/978-3-662-48410-4_1.

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Lega, Elena, Massimiliano Guzzo, and Claude Froeschlé. "Theory and Applications of the Fast Lyapunov Indicator (FLI) Method." In Chaos Detection and Predictability, 35–54. Berlin, Heidelberg: Springer Berlin Heidelberg, 2016. http://dx.doi.org/10.1007/978-3-662-48410-4_2.

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Barrio, Roberto. "Theory and Applications of the Orthogonal Fast Lyapunov Indicator (OFLI and OFLI2) Methods." In Chaos Detection and Predictability, 55–92. Berlin, Heidelberg: Springer Berlin Heidelberg, 2016. http://dx.doi.org/10.1007/978-3-662-48410-4_3.

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Cincotta, Pablo M., and Claudia M. Giordano. "Theory and Applications of the Mean Exponential Growth Factor of Nearby Orbits (MEGNO) Method." In Chaos Detection and Predictability, 93–128. Berlin, Heidelberg: Springer Berlin Heidelberg, 2016. http://dx.doi.org/10.1007/978-3-662-48410-4_4.

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Skokos, Charalampos, and Thanos Manos. "The Smaller (SALI) and the Generalized (GALI) Alignment Indices: Efficient Methods of Chaos Detection." In Chaos Detection and Predictability, 129–81. Berlin, Heidelberg: Springer Berlin Heidelberg, 2016. http://dx.doi.org/10.1007/978-3-662-48410-4_5.

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Sándor, Zsolt, and Nicolás Maffione. "The Relative Lyapunov Indicators: Theory and Application to Dynamical Astronomy." In Chaos Detection and Predictability, 183–220. Berlin, Heidelberg: Springer Berlin Heidelberg, 2016. http://dx.doi.org/10.1007/978-3-662-48410-4_6.

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Gottwald, Georg A., and Ian Melbourne. "The 0-1 Test for Chaos: A Review." In Chaos Detection and Predictability, 221–47. Berlin, Heidelberg: Springer Berlin Heidelberg, 2016. http://dx.doi.org/10.1007/978-3-662-48410-4_7.

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Siegert, Stefan, and Holger Kantz. "Prediction of Complex Dynamics: Who Cares About Chaos?" In Chaos Detection and Predictability, 249–69. Berlin, Heidelberg: Springer Berlin Heidelberg, 2016. http://dx.doi.org/10.1007/978-3-662-48410-4_8.

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Skokos, Charalampos, Georg A. Gottwald, and Jacques Laskar. "Erratum to: Chaos Detection and Predictability." In Chaos Detection and Predictability, E1. Berlin, Heidelberg: Springer Berlin Heidelberg, 2016. http://dx.doi.org/10.1007/978-3-662-48410-4_9.

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Celik, Elif Tuba, and Alexandru Serbanescu. "Applications of Transient Signals Detection Using Recurrence Plot Analysis." In Chaos and Complex Systems, 201–7. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-33914-1_25.

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Тези доповідей конференцій з теми "Chaos Detection":

Leung, Henry. "Iceberg detection using chaos." In SPIE's 1993 International Symposium on Optics, Imaging, and Instrumentation, edited by Louis M. Pecora. SPIE, 1993. http://dx.doi.org/10.1117/12.162684.

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GAILEY, PAUL C., LEE M. HIVELY, and VLADIMIR A. PROTOPOPESCU. "ROBUST DETECTION OF DYNAMICAL CHANGE IN SCALP EEG." In 5th Experimental Chaos Conference. WORLD SCIENTIFIC, 2001. http://dx.doi.org/10.1142/9789812811516_0017.

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DOLAN, KEVIN, ALEXANDER NEIMAN, FRANK MOSS, MARK L. SPANO, and ANNETTE WITT. "DETECTION OF UNSTABLE PERIODIC ORBITS IN NOISY DATA, AND CHOOSING THE RIGHT SURROGATES." In 5th Experimental Chaos Conference. WORLD SCIENTIFIC, 2001. http://dx.doi.org/10.1142/9789812811516_0018.

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Haiping Wu, Wenwu Liu, Jingjun Lou, and Xiaoqiang Wang. "Application of chaos in sonar detection." In 2011 Second International Conference on Mechanic Automation and Control Engineering (MACE). IEEE, 2011. http://dx.doi.org/10.1109/mace.2011.5988079.

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du, weibiao, Qinglin Niu, Xingdong Bao, Zhenhua Wang, and Hongxia Mao. "A plume infrared radiation uncertainty evaluation model based on non-intrusive polynomial chaos." In Imaging Detection and Target Recognition, edited by Jiangtao Xu and Chao Zuo. SPIE, 2024. http://dx.doi.org/10.1117/12.3013097.

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Mann, I. "Poincare maps and pitch detection in speech." In IEE Colloquium on Signals, Systems and Chaos. IEE, 1997. http://dx.doi.org/10.1049/ic:19971372.

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Huang, Yu, Pei Zhou, and Nianqiang Li. "Chaos synchronization in optically pumped quantum-dot spin-VCSELs." In Seventh Symposium on Novel Photoelectronic Detection Technology and Application 2020, edited by Junhao Chu, Qifeng Yu, Huilin Jiang, and Junhong Su. SPIE, 2021. http://dx.doi.org/10.1117/12.2587358.

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Li Jingsheng, Wang Wenguang, Sun Jinping, and Mao Shiyi. "Chaos-based target detection from sea clutter." In IET International Radar Conference 2009. IET, 2009. http://dx.doi.org/10.1049/cp.2009.0230.

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Wu, Yaojun, and Baoqi Tao. "Detection of chaos based on wavelet transform." In SPIE's 1996 International Symposium on Optical Science, Engineering, and Instrumentation, edited by Michael A. Unser, Akram Aldroubi, and Andrew F. Laine. SPIE, 1996. http://dx.doi.org/10.1117/12.255303.

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Hongsheng Su and Feng Zhao. "Chaos Detection Method for Power Quality Disturbance." In 2006 6th World Congress on Intelligent Control and Automation. IEEE, 2006. http://dx.doi.org/10.1109/wcica.2006.1713340.

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Звіти організацій з теми "Chaos Detection":

Chow, Weng Wah Dr, .), Sebastian Maciej Wieczorek, and Geoffrey Kenneth Torrington. LDRD final report on using chaos for ultrasensitive coherent signal detection. Office of Scientific and Technical Information (OSTI), November 2006. http://dx.doi.org/10.2172/899374.

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Perdigão, Rui A. P. New Horizons of Predictability in Complex Dynamical Systems: From Fundamental Physics to Climate and Society. Meteoceanics, October 2021. http://dx.doi.org/10.46337/211021.

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Анотація:

Discerning the dynamics of complex systems in a mathematically rigorous and physically consistent manner is as fascinating as intimidating of a challenge, stirring deeply and intrinsically with the most fundamental Physics, while at the same time percolating through the deepest meanders of quotidian life. The socio-natural coevolution in climate dynamics is an example of that, exhibiting a striking articulation between governing principles and free will, in a stochastic-dynamic resonance that goes way beyond a reductionist dichotomy between cosmos and chaos. Subjacent to the conceptual and operational interdisciplinarity of that challenge, lies the simple formal elegance of a lingua franca for communication with Nature. This emerges from the innermost mathematical core of the Physics of Coevolutionary Complex Systems, articulating the wealth of insights and flavours from frontier natural, social and technical sciences in a coherent, integrated manner. Communicating thus with Nature, we equip ourselves with formal tools to better appreciate and discern complexity, by deciphering a synergistic codex underlying its emergence and dynamics. Thereby opening new pathways to see the “invisible” and predict the “unpredictable” – including relative to emergent non-recurrent phenomena such as irreversible transformations and extreme geophysical events in a changing climate. Frontier advances will be shared pertaining a dynamic that translates not only the formal, aesthetical and functional beauty of the Physics of Coevolutionary Complex Systems, but also enables and capacitates the analysis, modelling and decision support in crucial matters for the environment and society. By taking our emerging Physics in an optic of operational empowerment, some of our pioneering advances will be addressed such as the intelligence system Earth System Dynamic Intelligence and the Meteoceanics QITES Constellation, at the interface between frontier non-linear dynamics and emerging quantum technologies, to take the pulse of our planet, including in the detection and early warning of extreme geophysical events from Space.

Sperry, Benjamin, Bradley Sartain, Kurt Getsinger, Brianna Fernando, Kaytee Pokrzywinski, West Bishop, and Mark Heilman. Field demonstration of a peroxide-based algaecide for harmful algal bloom control in Lake Okeechobee. Engineer Research and Development Center (U.S.), September 2023. http://dx.doi.org/10.21079/11681/47624.

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Large-scale cyanobacterial harmful algal blooms (cHABs) in Lake Okeechobee, Florida, and connected waterways routinely impair water resources. This study conducted a field demonstration of a peroxide-based algaecide in 2020 in the Pahokee Marina on Lake Okeechobee to evaluate the algaecide’s suitability for near-future operational implementation. Within minutes of treatment, rapid oxidation of cHAB cells occurred in the form of bleaching and cell lysis. On average, levels in the treatment area decreased by 4 hours after treatment (HAT) and remained low out to 24 HAT: chlorophyll decreased 87%, phycocyanin decreased 85%, total microcystin levels decreased from 50 μg L−1 to 4 μg L⁻¹ at 4 HAT and then increased to 11 μg L⁻¹ by 24 HAT, hydrogen peroxide concentrations averaged 6.1 mg L⁻¹ 0.5 HAT and then dropped below detection limits by 24 HAT, and Microcystis spp. cell densities decreased at 4 HAT in all but four sampling sites. However, inflows of cHAB-infested lake water in some portions of the treatment area resulted in lack of control at these sites. Because of their vulnerability to influxes of cHABs from surrounding nontreated waters via water-exchange processes driven by wind-induced surface currents, future applications must therefore consider treatment area size.