Synchronization

Source: Wikipedia, the free encyclopedia.
(Redirected from
Synchronisation
)

Synchronized dancers

Synchronization is the coordination of events to operate a

conductor of an orchestra keeps the orchestra synchronized or in time. Systems that operate with all parts in synchrony are said to be synchronous or in sync—and those that are not are asynchronous
.

Today, time synchronization can occur between systems around the world through satellite navigation signals and other time and frequency transfer techniques.

Navigation and railways

Time-keeping and synchronization of clocks is a critical problem in long-distance ocean navigation. Before

satellite-based navigation, navigators required accurate time in conjunction with astronomical observations to determine how far east or west their vessel traveled. The invention of an accurate marine chronometer revolutionized marine navigation. By the end of the 19th century, important ports provided time signals in the form of a signal gun, flag, or dropping time ball
so that mariners could check and correct their chronometers for error.

Synchronization was important in the operation of 19th-century railways, these being the first major means of transport fast enough for differences in local mean time between nearby towns to be noticeable. Each line handled the problem by synchronizing all its stations to headquarters as a standard railway time. In some territories, companies shared a single railroad track and needed to avoid collisions. The need for strict timekeeping led the companies to settle on one standard, and civil authorities eventually abandoned local mean time in favor of railway time.

Communication

In electrical engineering terms, for digital logic and data transfer, a synchronous circuit requires a clock signal. A clock signal simply signals the start or end of some time period, often measured in microseconds or nanoseconds, that has an arbitrary relationship to any other system of measurement of the passage of minutes, hours, and days.

In a different sense, electronic systems are sometimes synchronized to make events at points far apart appear simultaneous or near-simultaneous from a certain perspective.

UTC
timescale and are used for many terrestrial synchronization applications of this kind.

In computer science (especially parallel computing), synchronization is the coordination of simultaneous threads or processes to complete a task with correct runtime order and no unexpected race conditions; see synchronization (computer science) for details.

Synchronization is also an important concept in the following fields:

Dynamical systems

A mechanical demonstration of synchronization of oscillators: metronomes, initially out of phase, synchronize through small motions of the base on which they are placed

Synchronization of multiple interacting dynamical systems can occur when the systems are autonomous oscillators. Poincaré phase oscillators are model systems that can interact and partially synchronize within random or regular networks.[1] In the case of global synchronization of phase oscillators, an abrupt transition from unsynchronized to full synchronization takes place when the coupling strength exceeds a critical threshold. This is known as the Kuramoto model phase transition.[2] Synchronization is an emergent property that occurs in a broad range of dynamical systems, including neural signaling, the beating of the heart and the synchronization of fire-fly light waves.

Applications

Neuroscience

In cognitive neuroscience, (stimulus-dependent) (phase-)synchronous oscillations of neuron populations serve to solve the general binding problem. According to the so-called Binding-By-Synchrony (BBS) Hypothesis[3][4][5][6][7][8][9] a precise temporal correlation between the impulses of neurons ("cross-correlation analysis"[10]) and thus a stimulus-dependent temporal synchronization of the coherent activity of subpopulations of neurons emerges. Moreover, this synchronization mechanism circumvents the superposition problem[11] by more effectively identifying the signature of synchronous neuronal signals as belonging together for subsequent (sub-)cortical information processing areas.

Cognitive science

In cognitive science, integrative (phase) synchronization mechanisms in cognitive neuroarchitectures of modern connectionism that include coupled oscillators (e.g."Oscillatory Networks"[12]) are used to solve the binding problem of cognitive neuroscience in perceptual cognition ("feature binding") and in language cognition ("variable binding").[13][14][15][16]


Biological networks

There is a concept that the synchronization of biochemical reactions determines biological homeostasis. According to this theory, all reactions occurring in a living cell are synchronized in terms of quantities and timescales to maintain biological network functional.[17]

Human movement

Troops use synchronization to learn teamwork

Synchronization of movement is defined as similar movements between two or more people who are temporally aligned.[18] This is different from mimicry, which occurs after a short delay.[19] Line dance and military step are examples.

Muscular bonding is the idea that moving in time evokes particular emotions.[20] This sparked some of the first research into movement synchronization and its effects on human emotion. In groups, synchronization of movement has been shown to increase conformity,[21] cooperation and trust.[22][failed verification]

In dyads, groups of two people, synchronization has been demonstrated to increase affiliation,[23] self-esteem,[24] compassion and altruistic behaviour[25] and increase rapport.[26] During arguments, synchrony between the arguing pair has been noted to decrease; however, it is not clear whether this is due to the change in emotion or other factors.[27] There is evidence to show that movement synchronization requires other people to cause its beneficial effects, as the effect on affiliation does not occur when one of the dyad is synchronizing their movements to something outside the dyad.[23] This is known as interpersonal synchrony.

There has been dispute regarding the true effect of synchrony in these studies. Research in this area detailing the positive effects of synchrony, have attributed this to synchrony alone; however, many of the experiments incorporate a shared intention to achieve synchrony. Indeed, the Reinforcement of Cooperation Model suggests that perception of synchrony leads to reinforcement that cooperation is occurring, which leads to the pro-social effects of synchrony.[28] More research is required to separate the effect of intentionality from the beneficial effect of synchrony.[29]

Uses

Synchronization is important in

time code to synchronize audio and video.[2] In movie and television production it is necessary to synchronize video frames from multiple cameras. In addition to enabling basic editing, synchronization can also be used for 3D reconstruction[30]

In

alternator synchronization
is required when multiple generators are connected to an electrical grid.

metastability in electronics
).

Encryption systems usually require some synchronization mechanism to ensure that the receiving cipher is decoding the right bits at the right time.

Automotive

synchronizers
that bring the toothed rotating parts (gears and splined shaft) to the same rotational velocity before engaging the teeth.

Flash synchronization synchronizes the flash with the shutter.

Some systems may be only approximately synchronized, or

plesiochronous. Some applications require that relative offsets between events be determined. For others, only the order of the event is important.[1]

See also

Notes

  1. ^ Albert Einstein proved in 1905 in his first relativity paper that there actually are no such things as absolutely simultaneous events.

References

  1. ^ a b Nolte, David (2015). Introduction to Modern Dynamics: Chaos, Networks, Space and Time. Oxford University Press.
  2. ^ a b "The Surprising Secret of Synchronization". YouTube.
  3. ^ Singer, W. (1999). Neuronal synchrony: A versatile code for the definition of relations. Neuron, 24, 49-65.
  4. ^ Singer, W. (1999a). Binding by neural synchrony. In R. A. Wilson & F. C. Keil (eds.): The MIT encyclopedia of the cognitive sciences (pp. 81-84). Cambridge, MA, London: The MIT Press.
  5. ^ Singer, W. (2009a). Consciousness and neuronal synchronization. In S. Laureys & G. Tononi: The neurology of consciousness: Cognitive neuroscience and neuropathology (pp. 43-52). Amsterdam: Elsevier.
  6. ^ Singer, W. (2009b). Neural synchrony and feature binding. In L.R. Squire (Ed.) Encyclopedia of Neuroscience. Vol. 6 (pp. 253-259). Oxford: Academic Press.
  7. ^ Singer, W. (2013a). The neuronal correlate of consciousness: Unity in time rather than space? Neurosciences and the Human Person: New Perspectives on Human Activities Pontifical Academy of Sciences. Scripta Varia. Vol. 121. Vatican City. 2013. From: www.casinapioiv.va/content/dam/accademia/pdf/sv121/sv121-singer.pdf
  8. ^ Singer, W. (2013b). Cortical dynamics revisited. Trends in Cognitive Sciences 17, 616-626.
  9. ^ Singer, W. (2018). Neuronal oscillations: unavoidable and useful? European Journal of Neuroscience 48, 2389-2399.
  10. ^ Engel, A. K., König, P., Gray, C. M. & Singer, W. (1990). Stimulus-dependent neuronal oscillations in cat visual cortex: Intercolumnar interaction as determined by cross-correlation analysis. European Journal of Neuroscience, 2, 588-606.
  11. ^ Malsburg, C. von der (1999). The what and why of binding: The modeler's perspective. Neuron, 24, 95-104.
  12. ^ Werning, M. (2012). Non-symbolic compositional representation and its neuronal foundation: Towards an emulative semantics. In M. Werning, W. Hinzen & E. Machery (eds.), The Oxford handbook of compositionality (pp. 633-654). Oxford University Press. Oxford.
  13. .
  14. .
  15. .
  16. ^ Bechtel, W. & Abrahamsen, A.A. (2002). Connectionism and the Mind: Parallel Processing, Dynamics, and Evolution in Networks. 2nd Edition. Blackwell Publishers, Oxford.
  17. .
  18. .
  19. .
  20. .
  21. .
  22. ^ "Synchrony and Cooperation – PubMed – Search Results". Retrieved 2 February 2017.
  23. ^ .
  24. .
  25. .
  26. .
  27. .
  28. .
  29. .
  30. ^ Moore, Carl, et al. "Synchronization of images from multiple cameras to reconstruct a moving human." 2010 IEEE/ACM 14th International Symposium on Distributed Simulation and Real Time Applications. IEEE, 2010.

External links