Sentences with phrase «tuning of parameters»

Similarly, the tuning of their parameters must be consistent with the amount of defect you want to correct.

The NCAR Community Climate System model 20th century simulations for CMIP5 (Gent et al. 2011) arguably qualifies as a completely forward calculation, with forcing data sets being selected a priori and no tuning of parameters to the 20th century climate other than the sea ice albedo and the low cloud relative humidity threshold.

New devices are being developed by Medtronic and other medical device companies that can allow both stimulation and monitoring of the neural activity which can facilitate tuning of the parameters and even delivery of stimulation triggered by neural activity.

Not exact matches

If something has fine - tuned the parameters, that could indicate the existence of an intelligent fine - tuner — but this is pretty much guesswork: it could as easily be that the parameters vary slightly over very large distances, in which case life would be expected to turn up in those regions of the universe that are suited for life.

Regarding the Big Bang, it was found that the parameters of the Big Bang, and the governing constants of physics, had to be perfectly and exquisitely tuned to allow life as we know it to exists.

Say we have a mildly complex set of physical laws, a theory of everything — let's call the theory U — that includes a few numerical parameters (let's say those are t, u, v, w, x, y, z) that are fixed at constant values that seem at first somewhat arbitrary, but also seem «fine tuned» to produce a universe that can support life.

In this book, which is in two parts, McGrath focuses on «surprising facts» - apparent fine - tunings of critical parameters of nature.

Of course, as McGrath recognises, atheist explanations for such «fine tuning» exist: the multiverse, for example, which posits that our universe is just one region of a vastly bigger reality, such that the apparently fine - tuned parameters have different values elsewherOf course, as McGrath recognises, atheist explanations for such «fine tuning» exist: the multiverse, for example, which posits that our universe is just one region of a vastly bigger reality, such that the apparently fine - tuned parameters have different values elsewherof a vastly bigger reality, such that the apparently fine - tuned parameters have different values elsewhere.

The strengths of the basic forces and certain other fundamental parameters in our universe appear to be «fine - tuned» to allow the existence of life.

In contrast to a solid - state environment, however, many unwanted effects resulting for example from impurities in the material are absent and all key parameters of the system can be finely tuned.

As you put in more and more fine - tuned parameters, it might start doing all kinds of things you would not want or expect it to do.

The result can also be influenced by tuning the electrical charge of the floor plate on which the particles rest — a parameter which is very easy to control in an experiment.

Both these parameters can be tuned in the experiment, allowing the researchers to design the inner structure of emulsions.

I get frustrated by the discussion of the idea that physical parameters were «fine - tuned» for life (23 July, p 34).

The study, published in PLOS Computational Biology, provides a patient specific approach to tuning parameters that may dramatically improve efficacy of deep brain stimulation.

«As bioengineers, we can now design 3D culture systems where environmental parameters such as composition, porosity, and stiffness can be precisely tuned to study the importance of these cues on tumorigenesis,» says coauthor Sandeep Koshy, a Harvard graduate student in the Harvard - MIT Program in Health Sciences and Technology, who works in Mooney's lab at Harvard SEAS and at the Wyss Institute for Biologically Inspired Engineering.

This method therefore provides a patient specific approach to tuning parameters that may dramatically improve efficacy of deep brain stimulation.

By adjusting various parameters — such as the density of conduction electrons in the material or the strength of the DC electric field — it is possible to tune the cutoff wavenumber and, consequently, the frequency of the resulting terahertz radiation.

«This is extremely interesting since chemists today can often fine tune or even switch the permeability of these shells to specific molecules via variations in temperature or other parameters,» explains co-author Dr. Won Kyu Kim.

Our work was able to investigate the variety of the self - assembled structures offered by the chosen bricks and to characterise the specific collective behaviors occurring on tuning the relevant parameters of these systems.

Second is the observation that, by tuning the parameters of such systems, they may exist in any one of three states: rigid order, chaos, or a state of complexity balanced between rigid order and chaos.

The measured optical band gap of these samples matches the predicted dependence as a function of the sample's order parameter as measured by Raman scattering and both x-ray and electron diffraction, and hence allows for the possibility of tuning the band gap of ZnSnN2 without having to alloy with other material systems.

The number of «free» parameters is actually not that great, and since only a handful are used to tune the models «holisitically» the arbitrariness is limited.

But the amount of radiation needed to make the scenario work was extremely high, and astrophysicists had to fine - tune other parameters of the scenario, too, making the solution feel unsatisfying.

The standard tool in performing this characterization is the neuronal tuning curve: a plot of the average firing rate of the neuron as a function of relevant stimulus parameters.

Whatever you're trying to do, whether it's trail - braking into a hairpin or powering out of a 100 - mph sweeper, somebody has already thought about that situation and tuned the differential lockup, throttle response, suspension stiffness, and about a million other parameters to make the car respond consistently.

Since the size of the port is a tuned parameter, using a bigger hole all the time will result in the engine running rough.

All that other stuff — ride, handling, engine response — that's all very fiddly, but you've got CAD / CAM units and data and target parameters to aim for before completing with some seat - of - the - pants tuning.

The bespoke tuning of the suspension and damping systems, specially configured steering characteristics, a firmer roll stabilisation set - up and precise tweaks of the DSC parameters together ensure the new i8 Roadster boasts all of the plug - in hybrid sports car's hallmark handling and performance qualities.

This device — standard across the entire range of the new model — modifies the operating parameters of the engine, of the steering system, and of the Q2 electronic differential, in addition to fine - tuning the stability control system (VDC) behavioural logics.

In ECO PRO mode the entire vehicle is tuned to for efficiency by means of a changed gas and transmission parameters.

This has a potential impact on vehicle behavior with benefits regarding safety and the handling performance, more so than through the traditional approach of fine tuning hardware parameters such as mass distribution and suspension elasto - kinematics.

«Because FMOD Studio is designed to work like a DAW, we were immediately able to take those parameters that we'd set up in Nuendo, bring them over into FMOD Studio, and with a little bit of fine tuning, suddenly we had it in the game,» says Wiswell.

All Gust needed to do was tweak the parameters of each enemy a bit and I would have been singing an entirely different tune about them.

The nature of the tuning also matters: allowing an uncertain parameter to vary within reasonable bounds and picking the value that gives the best result, is quite different to inserting completely artificial fluxes to correct for biases.

Is there any sense of how, how much, if, or which parameters «tuned» for emergent properties in the average climate might change with climate change?

While details differ among groups in terms of scientific missions, tuning targets and tunable parameters, there is a core commonality of approaches.

In that survey, it was almost universal that groups tuned for radiation balance at the top of the atmosphere (usually by adjusting uncertain cloud parameters), but there is a split on pratices like using flux corrections (2 / 3rds of groups disagreed with that).

Tuning consists of adjusting the values of these parameters to bring the solution as a whole into line with aspects of the observed climate.

Secondly, there are tuning parameters that control aspects of the emergent system.

On that topic, I question the precision of the model's parameters on the grounds that the scenarios to which the model is tuned are not persistent, reliable, indicative features of the atmospheric / oceanic circulation.

Using comprehensive data sets of observations made between 1979 and 2001 of sea ice thickness, draft, extent, and speeds, we find that it is possible to tune model parameters to give satisfactory agreement with observed data, thereby highlighting the skill of modern sea ice models, though the parameter values chosen differ according to the model forcing used.

They calibrated them according to the warming of the last quarter of the last century, assumed the warming was from carbon dioxide rising, and have tuned the parameters to keep in step.

But, from a point of view of curve fitting, each parameter is a tuning knob!

Now suppose Rowlands, et al., tuned the parameters of the HADCM3L model so that it precisely reproduced the observed air temperature line.

I'm claiming that it's possible to analyze multidecadal HadCRUT3 (defined as F3 (HadCRUT3)-RRB- as a sum of two naturally arising functions, SAW and AGW, to within millikelvins, where SAW has 6 parameters and AGW has 3 that I'm allowing myself to tune to improve the fit.

They can't even predict the next decade, much less ten decades; despite tuning they only poorly replicate the historical climate; their equations can't be shown to converge; the number of tunable parameters is far too large for comfort; they show absolutely no skill at regional scales; their results for things they are not tuned to replicate (e.g. rainfall) are abysmal — in short they are glorified Tinkertoy ™ models which have one common characteristic... they don't work well.

In a more general manner, if we take tuning through hindcasting to be some kind of (weak) form of proper parameter estimation, what is the theoretical basis for parameter estimation within the framework of chaotic response; especially spatio - temporal chaos?

The models have been «tuned» through the use of parameters to simply mimic observations, after the fact.

Many physical modelers, and especially climate modelers, seems to think that as long as their models are «science - based» then there is no need to account for uncertainty in their outputs, notwithstanding that the model parameters are tuned with data, and that aspects of these models are likely to be ill posed (highly sensitive to small perturbations in the values assigned to parameters).