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Single Event Transient

The term random error refers to one or more bits in error, distributed randomly in b. Random errors can be single (only one bit is affected) or multiple. Single errors are commonly produced by single event effects (SEEs) [8] single event upsets (SEUs, in random access memories), single event transients (SETs, in combinational logic), etc. [Pg.180]

Most of the types described above have the facility for single-shot operation if it is necessary to measure single events (i.e. transients). In these cases, the timebase is triggered by the start of the transient. The limitation is the persistence of the screen luminescence since the event only occurs once, rather than a repetitive series of events, as happens with a periodic waveform where the trace is, in effect, overwritten during each operation of the timebase. [Pg.241]

Dielectric spectroscopy can be carried out by observing a material s steady-state response to an oscillating electric field or by observing the transient response to a single event such as a step change in field. The simplest sample geometry in either case is that of the dielectric in a parallel-plate capacitor. [Pg.279]

The creation of a new bond between two different molecules or molecular fragments through consecutive reaction steps is typically called a direct reaction mechanism. In each individual reaction step, a chemical bond between the molecule or molecular fragment and the catalyst surface is formed. The molecular fragments bonded to the catalyst surface can subsequently react with a second adsorbed molecule. In an associative reaction mechanism, a cluster of at least two molecules adsorbs at the reaction center. Bond formation and cleavage reaction, now occur as a single event within the adsorbate cluster consisting of several molecules. This is assisted by transient chemical bond formation with the catalyst surface. [Pg.416]

Freak wave research has two basic objectives. The first is an understanding of the mechanisms that create freak waves severaf mechanisms have been proposed to explain why extreme-wave events occur in the ocean. The second is to estabhsh a reliable statistical model for the occurrence of freak waves. However, the problem is difficult because a freak wave is only one wave, or perhaps just a few waves, in a wave train. Therefore, its occurrence exhibits statistical sensitivity. Moreover, an extreme wave event is transient it forms and disappears quickly in both time and space. To address these problems, we should study wave populations that contain freak waves, rather than concentrate on the features of an individual wave profile. (This is not to say, however, that observations of single events are unimportant.) Once such wave populations can be characterized, then it should be possible to estimate how often waves of any given size will occur. [Pg.132]

Numerical Observations Figure 3.42 shows a schematic plot of H versus A for A = 8 Af = 5 two dimensional CA. The lattice size is 64 x 64 with periodic boundary conditions. In the figure, the evolution of the single-site entropy is traced for four different transition events. In each case, for a given A, a rule table consistent with that A is randomly chosen and the system is made to evolve for 500 steps to allow transients to die out before H is measured. [Pg.103]

The analysis of the current-time curves at electrodes or microelectrodes of different geometries has also a great interest in detecting the presence of small particles or nanoparticles at its surface or even single nanoparticles events through the current due to the electro-oxidation (or reduction) of the particles (see Fig. 2.18) or to a electrocatalytic reaction on the nanoparticle surface when this comes into contact with the electrode and transiently sticks to it [62-65]. [Pg.116]


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See also in sourсe #XX -- [ Pg.8 , Pg.9 , Pg.12 , Pg.15 , Pg.22 , Pg.27 , Pg.65 , Pg.66 ]




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