Relevant bibliographies by topics / Binary stochastic system

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  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Binary stochastic system'

Author: Grafiati
Published: 28 May 2022
Last updated: 31 July 2025

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Journal articles on the topic "Binary stochastic system"

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Fu, Kewei, Han-Fu Chen, and Wenxiao Zhao. "Distributed system identification for linear stochastic systems with binary sensors." Automatica 141 (July 2022): 110298. http://dx.doi.org/10.1016/j.automatica.2022.110298.

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Shier, D. R., E. J. Valvo, and R. E. Jamison. "Generating the states of a binary stochastic system." Discrete Applied Mathematics 37-38 (July 1992): 489–500. http://dx.doi.org/10.1016/0166-218x(92)90153-2.

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Petuhov, Sergey. "MUSIC, UNIVERSALS OF GENOMIC DNAs, GENETIC INTELLIGENCE, AND THE CONCEPT OF A STOCHASTIC SYSTEM OF PROTOREGULATION." Medicine and Art 1, no. 2 (2023): 40–57. http://dx.doi.org/10.60042/2949-2165-2023-1-2-40-57.

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This work is devoted to the structural links between the musical harmony of the Pythagorean fifth scales and the system of hydrogen bonds in genetic molecules DNAs. Hidden regularities in the stochastic organization of hydrogen bond sequences in the genomic DNAs of higher and lower organisms have been discovered. The regularities described are candidates for the role of universal regularities of biological evolution. An idea is advanced on the fundamental role of stochastic regularities in the genetically inherited organization of biological bodies. In the presented study, the author's method
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Wu, Chengjin, Qing Jiao, and Feng Tian. "Aperiodic Stochastic Resonance in the Fractional-Order Bistable System." Fluctuation and Noise Letters 19, no. 02 (2019): 2050014. http://dx.doi.org/10.1142/s0219477520500145.

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The aperiodic stochastic resonance (ASR) in the bistable fractional-order system is further studied when the fractional-order lies in the interval (0, 2). In previous works, the ASR can only process aperiodic binary signal with large pulse width. However, for the signal with small pulse width, the method cannot work. Actually, the signals with small pulse width are also common in the information transmission field. It greatly limits the application of the fractional stochastic resonance. Hence, we mainly focus on the enhancement of aperiodic binary signal with small pulse width. To solve the a
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Wu, Dan Hui. "The Application Research of Detecting Weak Random Binary Code Based on Stochastic Resonance." Applied Mechanics and Materials 65 (June 2011): 13–16. http://dx.doi.org/10.4028/www.scientific.net/amm.65.13.

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The phenomenon of stochastic resonance based on two-dimensional bistable Duffing system under the conditions of small signal is analyzed in this paper; the detection methods of faint random binary code based on stochastic resonance technique of Duffing system is presented, Using this method, under the conditions of no knowing detection signal any priori knowledge, the detection signal waveform can be estimated, what’s more, the ratio of signal to noise of detecting weak random binary code can be achieved -25dB below, and the computer simulation verifies the method effectiveness. As a result, t
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González, Luis. "Complex Stochastic Boolean Systems: Comparing Bitstrings with the Same Hamming Weight." Journal of Complex Systems 2014 (March 24, 2014): 1–9. http://dx.doi.org/10.1155/2014/428418.

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A complex stochastic Boolean system (CSBS) is a complex system depending on an arbitrarily large number n of random Boolean variables. CSBSs arise in many different areas of science and engineering. A proper mathematical model for the analysis of such systems is based on the intrinsic order: a partial order relation defined on the set 0,1n of all binary n-tuples of 0s and 1s. The intrinsic order enables one to compare the occurrence probabilities of two given binary n-tuples with no need to compute them, simply looking at the relative positions of their 0s and 1s. Regarding the analysis of CSB
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López-Magaña, Carlos, Jorge Rivera, Susana Ortega-Cisneros, Federico Sandoval-Ibarra, and Juan Luis Del Valle. "A Reduced Hardware SNG for Stochastic Computing." Electronics 12, no. 16 (2023): 3383. http://dx.doi.org/10.3390/electronics12163383.

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Stochastic Computing (SC) is an alternative way of computing with binary weighted words that can significantly reduce hardware resources. This technique relies on transforming information from a conventional binary system to the probability domain in order to perform mathematical operations based on probability theory, where smaller amounts of binary logic elements are required. Despite the advantage of computing with reduced circuitry, SC has a well known issue; the input interface known as stochastic number generator (SNG), is a hardware consuming module, which is disadvantageous for small d
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Iyer, Srinivas. "Asymptotic performance of a multistate coherent system." Advances in Applied Probability 20, no. 1 (1988): 241–43. http://dx.doi.org/10.2307/1427281.

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An expression for the asymptotic or steady-state performance function is derived for a multistate coherent system when each component changes states in time according to a semi-Markov process, the stochastic processes being mutually independent. This generalizes the expression for system availability of a binary coherent system when the components are governed by mutually independent alternating renewal processes.
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Iyer, Srinivas. "Asymptotic performance of a multistate coherent system." Advances in Applied Probability 20, no. 01 (1988): 241–43. http://dx.doi.org/10.1017/s000186780001805x.

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An expression for the asymptotic or steady-state performance function is derived for a multistate coherent system when each component changes states in time according to a semi-Markov process, the stochastic processes being mutually independent. This generalizes the expression for system availability of a binary coherent system when the components are governed by mutually independent alternating renewal processes.
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GONZÁLEZ, LUIS. "ALGORITHM COMPARING BINARY STRING PROBABILITIES IN COMPLEX STOCHASTIC BOOLEAN SYSTEMS USING INTRINSIC ORDER GRAPH." Advances in Complex Systems 10, supp01 (2007): 111–43. http://dx.doi.org/10.1142/s0219525907001136.

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This paper deals with a special kind of complex systems which depend on an arbitrary (and usually large) number n of random Boolean variables. The so-called complex stochastic Boolean systems often appear in many different scientific, technical or social areas. Clearly, there are 2n binary states associated to such a complex system. Each one of them is given by a binary string u = (u1,…,un) ∈ {0, 1}n of n bits, which has a certain occurrence probability Pr {u}. The behavior of a complex stochastic Boolean system is determined by the current values of its 2n binary n-tuple probabilities Pr {u}
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Dissertations / Theses on the topic "Binary stochastic system"

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Чмирьов, В. М., та І. О. Лисенко. "Фазове розшарування в бінарних стохастичних системах з балістичною дифузією". Thesis, Вид-во СумДУ, 2009. http://essuir.sumdu.edu.ua/handle/123456789/6340.

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В роботі розглянуто процес формування фаз у бінарних стохастичних системах з термічною дифузією та балістичним змішуванням. Показано що існує два механізми фазового переходу: термічна дифузія та радіаційно викликанні атомні заміщення. У отриманій моделі балістичне змішування призводить до випадкового нетермічного стрибка атома до найближчих та дальніх сусідів кристалічної ґратки. Досліджено динаміку структурного фактору на початкових стадіях спінодального розпаду. У рамках теорії середнього поля отримано ефективне рівняння Фокера-Планка з метою описання процесу формування фаз. Показан
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Appiah, Emmanuel A. "A Hybrid Dynamic Modeling of Time-to-event Processes and Applications." Scholar Commons, 2018. https://scholarcommons.usf.edu/etd/7663.

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In the survival and reliability data analysis, parametric and nonparametric methods are used to estimate the hazard/risk rate and survival functions. A parametric approach is based on the assumption that the underlying survival distribution belongs to some specific family of closed form distributions (normal, Weibull, exponential, etc.). On the other hand, a nonparametric approach is centered around the best-fitting member of a class of survival distribution functions. Moreover, the Kaplan-Meier and Nelson-Aalen type nonparametric approach do not assume either distribution class or closed-fo
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Ghous, Hamid. "Building a robust clinical diagnosis support system for childhood cancer using data mining methods." Thesis, 2016. http://hdl.handle.net/10453/90061.

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University of Technology Sydney. Faculty of Engineering and Information Technology.<br>Progress in understanding core pathways and processes of cancer requires thorough analysis of many coding and noncoding regions of the genome. Data mining and knowledge discovery have been applied to datasets across many industries, including bioinformatics. However, data mining faces a major challenge in its application to bioinformatics: the diversity and dimensionality of biomedical data. The term ‘big data’ was applied to the clinical domain by Yoo et al. (2014), specifically referring to single nucleoti
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Gherardini, Stefano. "Noise as a resource - Probing and manipulating classical and quantum dynamical systems via stochastic measurements." Doctoral thesis, 2018. http://hdl.handle.net/2158/1120060.

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In this thesis, common features from the theories of open quantum systems, estimation of state dynamics and statistical mechanics have been integrated in a comprehensive framework, with the aim to analyze and quantify the energetic and information contents that can be extracted from a dynamical system subject to the external environment. The latter is usually assumed to be deleterious for the feasibility of specic control tasks, since it can be responsible for uncontrolled time-dependent (and even discontinuous) changes of the system. However, if the effects of the random interaction with a n
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Li, Zhuokai. "Multivariate semiparametric regression models for longitudinal data." Thesis, 2014. http://hdl.handle.net/1805/6462.

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Multiple-outcome longitudinal data are abundant in clinical investigations. For example, infections with different pathogenic organisms are often tested concurrently, and assessments are usually taken repeatedly over time. It is therefore natural to consider a multivariate modeling approach to accommodate the underlying interrelationship among the multiple longitudinally measured outcomes. This dissertation proposes a multivariate semiparametric modeling framework for such data. Relevant estimation and inference procedures as well as model selection tools are discussed within this modeling fra
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Book chapters on the topic "Binary stochastic system"

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Schneider, Johannes Josef, Alessia Faggian, Mathias Sebastian Weyland, et al. "Percolation Breakdown in Binary and Ternary Monodisperse and Polydisperse Systems of Spherical Particles." In Communications in Computer and Information Science. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-57430-6_13.

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AbstractWe perform computer simulations of an agglomeration process for monodisperse and polydisperse systems of spherical particles in a cylindrical container, using a simplified stochastic-hydrodynamic model. We consider a ternary system with three particle types A, B, and C, in which only connections of the type $$A-B$$ A - B can be forged, while any other connections with particles of the same type or with C-particles are forbidden, and for comparison a binary system with two particle types A and C, in which only connections of the type $$A-A$$ A - A can be formed. We study the breakdown o
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Lagos, Guido, and Pablo Romero. "On the Reliability of Dynamical Stochastic Binary Systems." In Machine Learning, Optimization, and Data Science. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-64583-0_46.

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Yakimov, Vladimir, Petr Lange, and Ekaterina Yaroslavkina. "Formant Frequencies Estimation Based on Correlogram Method of Spectral Analysis and Binary-Sign Stochastic Quantization." In Cyber-Physical Systems: Modelling and Industrial Application. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-95120-7_13.

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Murata, Nobuharu, Hirokazu Nosato, Tatsumi Furuya, and Masahiro Murakawa. "Automatic Adjustment for Optical Axes in Laser Systems Using Stochastic Binary Search Algorithm for Noisy Environments." In Autonomous Robots and Agents. Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-73424-6_16.

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Coolen, A. C. C., R. Kühn, and P. Sollich. "Recurrent networks with binary neurons." In Theory of Neural Information Processing Systems. Oxford University PressOxford, 2005. http://dx.doi.org/10.1093/oso/9780198530237.003.0003.

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Abstract We now turn to recurrent networks of binary (Ising) neurons σi ∈ {1, 1} , with fixed synaptic interactions { Jij } and fixed thresholds { 𝓋i} . We still have explicit (stochastic) rules (1.29) that determine the evolution in time of our system, namely
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Surya Prakash, S., Sneha M. Joseph, D. Kishore, and Y. Yamini Devi. "Stochastic Computing Solutions Challenges and Application." In Advances in Transdisciplinary Engineering. IOS Press, 2023. http://dx.doi.org/10.3233/atde221239.

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High speed and power are required for modern applications, and low power consumption and a small integration area. So, this system will be consumed less power. To manipulate these problems either way of computing should be changed by another technique or the transistor should be changed by another device. One selective computing is stochastic. While loaded computing contributes high hardware cost, high speed. Stochastic computing accuracy is less than binary computing circuits. They are having some implementation basic operations of stochastic computing. They are complementary operation, multi
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Berber, Stevan. "Digital Bandpass Modulation Methods." In Discrete Communication Systems. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780198860792.003.0006.

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This chapter presents mathematical models of baseband and bandpass digital communication systems based on binary and quaternary phase-shift keying, frequency-shift keying, and quadrature amplitude modulation. The systems are deduced as special cases from the general generic system structure and the related theory of orthonormal basis functions. The systems are uniquely presented using mathematical operators and detailed derivatives for signals in time and frequency domains at the system’s vital points, that is, the transmitter, the receiver, and the noise generator, using the concepts of both
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Berber, Stevan. "Discrete Bandpass Modulation Methods." In Discrete Communication Systems. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780198860792.003.0007.

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This chapter presents mathematical models of discrete baseband and bandpass communication systems based on binary phase-shift keying, quaternary phase-shift keying, frequency-shift keying, and quadrature amplitude modulation. The operation of intermediate-frequency systems where all processing is performed in the discrete-time domain are presented. The systems are deduced as special cases from a generic system structure that is based on the application of orthonormal basis functions. The block schematics of systems are uniquely presented using mathematical operators. Detailed derivatives are p
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Benayadi Nabil and Le Goc Marc. "Discovering Temporal Knowledge from a Crisscross of Timed Observations." In Frontiers in Artificial Intelligence and Applications. IOS Press, 2008. https://doi.org/10.3233/978-1-58603-891-5-745.

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This paper is concerned with the discovering of temporal knowledge from a sequence of timed observations provided by a system monitoring of dynamic process. The discovering process is based on the Stochastic Approach framework where a series of timed observations is represented with a Markov chain. From this representation, a set of timed sequential binary relations between discrete event classes is discovered with an abductive reasoning and represented as abstract chronicle models. To reduce the search space as close as possible to the potential relations between the process variables, we pro
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Shier, Douglas R. "State-space approximation." In Network Reliability and Algebraic Structures. Oxford University PressOxford, 1991. http://dx.doi.org/10.1093/oso/9780198533863.003.0008.

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Abstract The emphasis in the previous chapters has been on assessing the reliability of a binary system, whose components (nodes and/or edges) can be in either of two states (operating or failed). However, reliability is only one of a number of stochastic performance measures that might be of practical interest. For example, the number of node pairs that can communicate at a random instant might be more informative than simply whether or not all node pairs can communicate. Alternatively, we might be interested in the ‘fault tolerance’ of the system, measured by the expected number of disjoint
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Conference papers on the topic "Binary stochastic system"

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Csaji, Balazs Csanad, and Erik Weyer. "System identification with binary observations by stochastic approximation and active learning." In 2011 50th IEEE Conference on Decision and Control and European Control Conference (CDC-ECC 2011). IEEE, 2011. http://dx.doi.org/10.1109/cdc.2011.6160484.

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Nigus, M., Rashmi Priyadarshini, and R. M. Mehra. "Binary-Weighted Synaptic Circuit for Neuromorphic Learning System Using Stochastic Memristor SPICE Model." In 2019 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS). IEEE, 2019. http://dx.doi.org/10.1109/icccis48478.2019.8974525.

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Jiao, Shang-Bin, Jie Kou, Ding Liu та Qing Zhang. "Stochastic resonance of asymmetric bistable system driven by binary signals under α stable noise". У 2016 35th Chinese Control Conference (CCC). IEEE, 2016. http://dx.doi.org/10.1109/chicc.2016.7554403.

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Burger, Eric M., and Scott J. Moura. "A Stochastic Approach to the Convex Optimization of Non-Convex Discrete Energy Systems." In ASME 2017 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/dscc2017-5316.

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Energy systems (e.g. ventilation fans, refrigerators, and electrical vehicle chargers) often have binary or discrete states due to hardware limitations and efficiency characteristics. Typically, such systems have additional programmatic constraints, such as minimum dwell times to prevent short cycling. As a result, non-convex techniques, like dynamic programming, are generally required for optimization. Recognizing developments in the field of distributed convex optimization and the potential for energy systems to participate in ancillary power system services, it is advantageous to develop co
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Liu, Gaohui, and Te Li. "Stochastic Resonance Phenomenon of Bistable System Driven by Binary Phase Shift Keying Signal under the Alpha Stable Noise." In 2017 7th International Conference on Advanced Design and Manufacturing Engineering (ICADME 2017). Atlantis Press, 2017. http://dx.doi.org/10.2991/icadme-17.2017.69.

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Chell, Brian, Steven Hoffenson, Benjamin Kruse, and Mark R. Blackburn. "Mission-Level Optimization: Complex Systems Design for Highly Stochastic Life Cycle Use Case Scenarios." In ASME 2020 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/detc2020-22454.

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Abstract Mission engineering is a growing field with many practical opportunities and challenges. The goal of mission engineering is to increase system effectiveness, reduce life cycle costs, and aid in communicating system capabilities to key stakeholders. Optimizing system designs for their mission context is important to achieving these goals. However, system optimization is generally done using multiple key performance indicators (KPIs), which are not always directly representative of, nor easily translatable to, mission success. This paper introduces, motivates, and proposes a new approac
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Kumar, Girish, Vipul Jain, and O. P. Gandhi. "Reliability and Availability Modeling of Mechanical Systems Using Stochastic Petri Net." In ASME 2011 Power Conference collocated with JSME ICOPE 2011. ASMEDC, 2011. http://dx.doi.org/10.1115/power2011-55325.

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Reliability and availability modeling of complex mechanical systems such as power plants in a single model, considering binary/tertiary states of individual components, using Markov approach is difficult due to state space explosion problem. Inclusion of various types of dependencies in the model further aggravates it. Moreover, the Markov approach is applicable when failure and repair time distributions are exponential. As the time to failure of mechanical components in most of the cases follows Weibull distribution, the Markov approach cannot be realistically applied for such systems. To ove
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Winters, M. P., John L. Hall, and K. P. Dinse. "High-resolution optical multiplex spectroscopy." In OSA Annual Meeting. Optica Publishing Group, 1987. http://dx.doi.org/10.1364/oam.1987.wn4.

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We have developed a frequency-multiplex laser spectrometer using the concept of stochastic excitation to provide an effective optical excitation bandwidth of &gt;200 MHz and an inherent spectral resolution of a few kilohertz. A frequency-stabilized Ar+ laser is phase-modulated by a pseudorandom binary sequence (PRBS) running at a clock frequency of 200 MHz. The detected system response to the stochastic optical field is cross-correlated with an identical time-delayed PRBS to give the equivalent of a free induction decay signal. A time-to-frequency transformation then gives the transfer functio
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Wang, Xiong, and Riheng Jia. "Mean Field Equilibrium in Multi-Armed Bandit Game with Continuous Reward." In Thirtieth International Joint Conference on Artificial Intelligence {IJCAI-21}. International Joint Conferences on Artificial Intelligence Organization, 2021. http://dx.doi.org/10.24963/ijcai.2021/429.

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Mean field game facilitates analyzing multi-armed bandit (MAB) for a large number of agents by approximating their interactions with an average effect. Existing mean field models for multi-agent MAB mostly assume a binary reward function, which leads to tractable analysis but is usually not applicable in practical scenarios. In this paper, we study the mean field bandit game with a continuous reward function. Specifically, we focus on deriving the existence and uniqueness of mean field equilibrium (MFE), thereby guaranteeing the asymptotic stability of the multi-agent system. To accommodate th
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Romero, Pablo. "Challenges in Stochastic Binary Systems." In 2019 11th International Workshop on Resilient Networks Design and Modeling (RNDM). IEEE, 2019. http://dx.doi.org/10.1109/rndm48015.2019.8949084.

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