Dynamic equilibrium

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For the economic concept, see Dynamic equilibrium (economics) A dynamic equilibrium exists when a reversible reaction ceases to change its ratio of reactants/products, but substances move between the chemicals at an equal rate, meaning there is no net change. It is a particular example of a system in a steady state. In thermodynamics a closed system is in thermodynamic equilibrium when reactions occur at such rates that the composition of the mixture does not change with time. (Wikipedia.org)

Conferences related to Dynamic equilibrium

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2020 IEEE International Conference on Plasma Science (ICOPS)

IEEE International Conference on Plasma Science (ICOPS) is an annual conference coordinated by the Plasma Science and Application Committee (PSAC) of the IEEE Nuclear & Plasma Sciences Society.

2019 41st Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)

The conference program will consist of plenary lectures, symposia, workshops andinvitedsessions of the latest significant findings and developments in all the major fields ofbiomedical engineering.Submitted papers will be peer reviewed. Accepted high quality paperswill be presented in oral and postersessions, will appear in the Conference Proceedings and willbe indexed in PubMed/MEDLINE & IEEE Xplore

2019 44th International Conference on Infrared, Millimeter, and Terahertz Waves (IRMMW-THz)

Science, technology and applications spanning the millimeter-waves, terahertz and infrared spectral regions

2019 IEEE 58th Conference on Decision and Control (CDC)

The CDC is recognized as the premier scientific and engineering conference dedicated to the advancement of the theory and practice of systems and control. The CDC annually brings together an international community of researchers and practitioners in the field of automatic control to discuss new research results, perspectives on future developments, and innovative applications relevant to decision making, systems and control, and related areas.The 58th CDC will feature contributed and invited papers, as well as workshops and may include tutorial sessions.The IEEE CDC is hosted by the IEEE Control Systems Society (CSS) in cooperation with the Society for Industrial and Applied Mathematics (SIAM), the Institute for Operations Research and the Management Sciences (INFORMS), the Japanese Society for Instrument and Control Engineers (SICE), and the European Union Control Association (EUCA).

2019 IEEE International Conference on Systems, Man and Cybernetics (SMC)

2019 IEEE International Conference on Systems, Man, and Cybernetics (SMC2019) will be held in the south of Europe in Bari, one of the most beautiful and historical cities in Italy. The Bari region’s nickname is “Little California” for its nice weather and Bari's cuisine is one of Italian most traditional , based of local seafood and olive oil. SMC2019 is the flagship conference of the IEEE Systems, Man, and Cybernetics Society. It provides an international forum for researchers and practitioners to report up-to-the-minute innovations and developments, summarize state­of-the-art, and exchange ideas and advances in all aspects of systems science and engineering, human machine systems and cybernetics. Advances have importance in the creation of intelligent environments involving technologies interacting with humans to provide an enriching experience, and thereby improve quality of life.

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Periodicals related to Dynamic equilibrium

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Applied Superconductivity, IEEE Transactions on

Contains articles on the applications and other relevant technology. Electronic applications include analog and digital circuits employing thin films and active devices such as Josephson junctions. Power applications include magnet design as well asmotors, generators, and power transmission

Automatic Control, IEEE Transactions on

The theory, design and application of Control Systems. It shall encompass components, and the integration of these components, as are necessary for the construction of such systems. The word `systems' as used herein shall be interpreted to include physical, biological, organizational and other entities and combinations thereof, which can be represented through a mathematical symbolism. The Field of Interest: shall ...

Biomedical Engineering, IEEE Transactions on

Broad coverage of concepts and methods of the physical and engineering sciences applied in biology and medicine, ranging from formalized mathematical theory through experimental science and technological development to practical clinical applications.

Circuits and Systems I: Regular Papers, IEEE Transactions on

Part I will now contain regular papers focusing on all matters related to fundamental theory, applications, analog and digital signal processing. Part II will report on the latest significant results across all of these topic areas.

Communications Letters, IEEE

Covers topics in the scope of IEEE Transactions on Communications but in the form of very brief publication (maximum of 6column lengths, including all diagrams and tables.)

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Most published Xplore authors for Dynamic equilibrium

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Xplore Articles related to Dynamic equilibrium

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A good close look at corrosion mechanisms

[] IEEE Spectrum, 1965


Heterogeneous beliefs, trading volume, and seemingly emotional stock market behavior

[{u'author_order': 1, u'affiliation': u'School of Economics and Management, Tsinghua University, Beijing 100084, China', u'full_name': u'Zhanhui Chen'}, {u'author_order': 2, u'affiliation': u'School of Economics and Management, Tsinghua University, Beijing 100084, China', u'full_name': u'Xin Yang'}] Tsinghua Science and Technology, 2007

Various information types and rational learning methods have shown that heterogeneous belief changes in a rational expectation model can explain many empirical findings in stock markets, such as momentum, contrarians, and technical trading. The methods have also shown that momentum and price movements can coexist in an asset market with only rational agents. The purpose of this paper is to ...

Service Industry Development and Financial Support in Northeast China Based on Co-Integration Analysis

[{u'author_order': 1, u'authorUrl': u'https://ieeexplore.ieee.org/author/37673670700', u'full_name': u'Guoyu Song', u'id': 37673670700}] 2009 International Conference on Management and Service Science, 2009

Based on the data of 1978-2007, the relationship between service industry development and financial support in northeast China is discussed by co- integration analysis and Granger causality test. We can conclude from the results of the empirical analysis that there exists long-term dynamic equilibrium interrelation, and that there is one-way Granger causality between the two, namely financial support is indispensable ...

Change of equilibrium under the influence of VR experience

[{u'author_order': 1, u'affiliation': u'Dept. of Conputer Sci., Hiroshima City Univ., Japan', u'authorUrl': u'https://ieeexplore.ieee.org/author/37595694100', u'full_name': u'Y. Takahashi', u'id': 37595694100}, {u'author_order': 2, u'authorUrl': u'https://ieeexplore.ieee.org/author/37374492900', u'full_name': u'A. Murata', u'id': 37374492900}] Proceedings 10th IEEE International Workshop on Robot and Human Interactive Communication. ROMAN 2001 (Cat. No.01TH8591), 2001

The effectiveness of a virtual reality (VR) system is suggested in all cases (e.g., remote manipulation using a robot at a nuclear power plant). However, there are no guidelines on the influence of a VR system on humans. In this study, we assumed that sensory conflict was a cause of VR sickness, and the influence of a VR experience on ...

Dynamics of magnetic domain walls with loosely spaced vertical Bloch lines

[{u'author_order': 1, u'affiliation': u'Coll. of Eng., Boston Univ., MA, USA', u'authorUrl': u'https://ieeexplore.ieee.org/author/37377089800', u'full_name': u'A. Bagneres', u'id': 37377089800}, {u'author_order': 2, u'affiliation': u'Coll. of Eng., Boston Univ., MA, USA', u'authorUrl': u'https://ieeexplore.ieee.org/author/37266654900', u'full_name': u'F.B. Humphrey', u'id': 37266654900}] IEEE Transactions on Magnetics, 1992

The dynamics of a magnetic domain wall containing vertical Bloch lines (VBLs) has been investigated using numerical methods. The wall is of the kind found in thin-film materials with a large anisotropy perpendicular to the plane of the film. The VBLs are all of the same chirality and are periodically repeated along the wall at equal spacing. The wall is ...

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Educational Resources on Dynamic equilibrium

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No eLearning Articles are currently tagged "Dynamic equilibrium"


  • Interactive Sensing and Decision Making in Social Networks

    The proliferation of social media such as real time microblogging and online reputation systems facilitate real time sensing of social patterns and behavior. In the last decade, sensing and decision making in social networks have witnessed significant progress in the electrical engineering, computer science, economics, finance, and sociology research communities. Research in this area involves the interaction of dynamic random graphs, socio-economic analysis, and statistical inference algorithms. Interactive Sensing and Decision Making in Social Networks provides a survey, tutorial development, and discussion of four highly stylized examples of sensing and decision making in social networks: social learning for interactive sensing; tracking the degree distribution of social networks; sensing and information diffusion; and coordination of decision making via game-theoretic learning. Each of the four examples is motivated by practical examples, and comprises of a literature survey together with careful problem formulation and mathematical analysis. Despite being highly stylized, these examples provide a rich variety of models, algorithms and analysis tools that are readily accessible to a signal processing, control/systems theory, and applied mathematics audience

  • Network Games: Theory, Models, and Dynamics

    Traditional network optimization focuses on a single control objective in a network populated by obedient users and limited dispersion of information. However, most of today's networks are large-scale with lack of access to centralized information, consist of users with diverse requirements, and are subject to dynamic changes. These factors naturally motivate a new distributed control paradigm, where the network infrastructure is kept simple and the network control functions are delegated to individual agents which make their decisions independently ("selfishly"). The interaction of multiple independent decision-makers necessitates the use of game theory, including economic notions related to markets and incentives. This monograph studies game theoretic models of resource allocation among selfish agents in networks. The first part of the monograph introduces fundamental game theoretic topics. Emphasis is given to the analysis of dynamics in game theoretic situations, which is crucial for design and control of networked systems. The second part of the monograph applies the game theoretic tools for the analysis of resource allocation in communication networks. We set up a general model of routing in wireline networks, emphasizing the congestion problems caused by delay and packet loss. In particular, we develop a systematic approach to characterizing the inefficiencies of network equilibria, and highlight the effect of autonomous service providers on network performance. We then turn to examining distributed power control in wireless networks. We show that the resulting Nash equilibria can be efficient if the degree of freedom given to end-users is properly designed. Table of Contents: Static Games and Solution Concepts / Game Theory Dynamics / Wireline Network Games / Wireless Network Games / Future Perspectives

  • Game Theory

    This chapter provides a brief account of game theory. Game theory is divided into two major branches: noncooperative games and cooperative games. Noncooperative game theory deals with scenarios, in which players compete against each other and selfishly pursue their own interests that are conflicting with other players' interests. Cooperative game theory addresses the formation of cooperative groups of players, called coalitions. Some of the classes of games are static games, dynamic games, one‐shot games, repeated games, games with complete information, games with incomplete information, games with perfect information and games with imperfect information. In game theory, the Nash equilibrium is considered as a concept of fundamental importance. A radio‐scene analysis mechanism is implemented based on a cooperative game for spectrum sensing, dynamic spectrum management. It is benefited from minority games to encourage radios to choose channels with lower levels of interference, and noncooperative games provides the required framework for transmit power control.

  • Fixed-Fee versus Unit Pricing for Information Goods: Competition, Equilibria, and Price Wars

    This chapter contains sections titled: 1. Introduction, 2. Consumer and Producer Preferences in Pricing Plans, 3. Optimal Pricing for a Monopolist, 4. Fixed-Fee versus Pay-per-Use Competition, 5. Model 1, 6. Model 2, 7. Dynamic Behavior, Equilibria, and Price Wars, 8. Results for Model 1, 9. Results for Model 2, Acknowledgments, References

  • Game Theory: Models, Numerical Methods and Applications

    This monograph provides the reader with a comprehensive overview of game theory covering the foundations of the theory of noncooperative and cooperative games, both static and dynamic. It also highlights new trends in cooperative differential games, learning, approachability (games with vector payoffs) and mean-field games (large number of homogeneous players). Based on courses given at the University of Oxford and Imperial College London, this work emphasizes theoretical foundations, mathematical tools, modeling, and equilibrium notions in different environments. The author uses a tutorial style to illustrate the major points so that the reader can quickly grasp the basics of each concept. The comprehensive reference list enables further research. This is the first tutorial to give such a concise and accessible introduction to the subject. It will be of use to all students, practitioners, and researchers looking to understand the basic concepts, models, and applications of game theory.

  • Processes: A Dynamical Integration of Computer Science into Mathematical Education

    This chapter contains sections titled: Introduction, The Hunting Of The Hidden Treasure: An Interactive Game And An Introduction To Processes And Strategies, The Rich Realm Of Processes, Change, And Chance: A Survey Of Possible Projects, Population Growth And Dynamical Equilibrium Among Populations: An Introduction To Ecological Thinking, Cellular Growth And Morphogenesis: Order Out Of The Iteration Of Arbitrary Rules, Trees, Insects, And Biomorphs: An Exploration Into The Spaces Of Algorithms And Evolution, Enter Chance: Picking Up White And Black Balls, Conclusion, Appendix: Skeleton Programs In IBM-PC LCSI Logo

  • Heterogeneous Networks

    This chapter discusses self‐organizing strategies for interference management in closed‐access small cell networks (SCNs) with minimum information required to learn an equilibrium. It focuses on SCNs to the next level of abstraction where certain classes of wireless terminals can be turned temporarily into an access point (AP) any time while connected to the Internet. This creates a dynamic network architecture (DNA) since the number and location of these APs vary in time. The chapter presents the performance of the network based on extensive computer simulations conducted using MATLAB. It explains the economic incentive for a cellular operator to add femtocell service on top of its existing macrocell service. The chapter considers how a femtocell service can improve the operator's profit. It also considers the case where the internet service provider (ISP) will charge the operator usage‐based fees for using the wireline Internet connection in downloading femtocell users’ traffics from Internet.

  • Risks and Benefits: Game‐Theoretical Analysis and Algorithm for Virtual Machine Security Management in the Cloud

    The growth of cloud computing has spurred many entities, both small and large, to use cloud services in order to achieve cost savings. Public cloud computing has allowed for quick, dynamic scalability without much overhead or long‐term commitments. However, there are some disincentives to using cloud services, and one of the biggest is the inherent and unknown danger stemming from a shared platform – namely, the hypervisor. An attacker who compromises a virtual machine (VM) and then goes on to compromise the hypervisor can readily compromise all virtual machines on that hypervisor. That brings into play the game‐theoretic problem of negative externalities, in which the security of one player affects the security of another. Using game theory to model and solve these externalities, we show that there are multiple Nash equilibriums. Furthermore, we demonstrate that the VM allocation type can adversely affect the role that externality plays in the cloud security game. Finally, we propose an allocation method based on a Nash equilibrium such that the negative externality imposed on other players can be significantly lowered compared to that found with other common VM allocation methods.

  • 8 Examples Using QP Theory

    One of the key hypotheses of QP theory is that the representations it provides are expressive enough to formally describe a wide variety of human mental models of continuous systems. To argue for this hypothesis, this chapter uses QP theory to model a variety of phenomena. This includes two of the motivating examples from chapter 1 (the kettle on the stove and speed of freezing examples) and other examples from the literature. These include the following: One-dimensional motion, including two common misconceptions found in physics students (i.e., Aristotelian and Impetus models) • A simple model of materials sufficient to state Minsky's conundrum that one can pull with a string but not push with it • A spring-block oscillator and the impact of dynamic and static friction on its possible behaviors • How dynamic equilibria can be detected qualitatively Any theory intended to capture the range of human mental models ought to be able to handle at least these phenomena.

  • Learning Structural Equation Models for fMRI

    Structural equation models can be seen as an extension of Gaussian belief networks to cyclic graphs, and we show they can be understood generatively as the model for the joint distribution of long term average equilibrium activity of Gaussian dynamic belief networks. Most use of structural equation models in fMRI involves postulating a particular structure and comparing learnt parameters across different groups. In this paper it is argued that there are situations where priors about structure are not firm or exhaustive, and given sufficient data, it is worth investigating learning network structure as part of the approach to connectivity analysis. First we demonstrate structure learning on a toy problem. We then show that for particular fMRI data the simple models usually assumed are not supported. We show that is is possible to learn sensible structural equation models that can provide modelling benefits, but that are not necessarily going to be the same as a true causal model, and suggest the combination of prior models and learning or the use of temporal information from dynamic models may provide more benefits than learning structural equations alone.

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