A probabilistic model of the control of technical systems

Smagin, V. A.; Novikov, A. N.; Smagin, S. Yu.

doi:10.3103/s0146411610060027

Cited by 5 publications

(3 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…12 Q Â f also turns out to play a key role in the quantum realm, where it indicates the number of independent operations N that can be performed on a quantum mechanical system subject to thermal decoherence induced by an environment at temperature T. 13 More specifically, the number of coherent oscillations in presence of a thermal environment is given by Q Â f Â h=ðk B TÞ, which indicates that a Q Â f higher than 6Â10 12 is necessary to attain one coherent oscillation at room temperature. Two independent works have demonstrated record values for Q Â f in the 10 15 -10 16 range for quartz resonators at ultralow temperature 14,15 and very recent developments on silicon optomechanical crystals 7 allowed reaching a Q Â f of 10 14 . Apart from these three works, current state-of-the-art systems are evolving in the 10 10 -10 13 window (see Refs.…”

mentioning

confidence: 99%

Ultrahigh Q-frequency product for optomechanical disk resonators with a mechanical shield

Nguyen

Baker

Hease

et al. 2013

Applied Physics Letters

View full text Add to dashboard Cite

We report on optomechanical GaAs disk resonators with ultrahigh quality factor -frequency product Q • f . Disks standing on a simple pedestal exhibit GHz breathing modes attaining a Q • f of 10 13 measured under vacuum at cryogenic temperature. Clamping losses are found to be the dominant source of dissipation in this configuration. A new type of disk resonator integrating a shield within the pedestal is then proposed and its working principles and performances investigated by numerical simulations. For dimensions compatible with fabrication constraints, the clamping-loss-limited Q reaches 10 7 − 10 9 corresponding to Q • f of 10 16 − 10 18 . This shielded pedestal approach applies to any heterostructure presenting an acoustic mismatch.

show abstract

mentioning

confidence: 99%

Ultrahigh Q-frequency product for optomechanical disk resonators with a mechanical shield

Nguyen

Baker

Hease

et al. 2013

Applied Physics Letters

View full text Add to dashboard Cite

show abstract

“…It should be noted that there is no universal model of the software evaluation and test planning. Moreover, beside the described classes of models, studies suggest simulation models [29], structural models [22], fuzzy models [26,27], interval models [30], software dynamic models [31][32][33], software/hardware complex models [34,35], Bayesian model modifications [19,30,36,37], as well as neural networks applied for certain scientific purposes [38,39]. In order to select a suitable model, a number of qualitative and quantitative criteria can be suggested [40].…”

Section: Evaluation Models and Test Planning Selection Criteriamentioning

confidence: 99%

Models for Testing Modifiable Systems

Markov¹,

Barabanov²,

Tsirlov³

2018

Probabilistic Modeling in System Engineering

View full text Add to dashboard Cite

The work describes reliability and security growth models for modifiable software systems as a result of revisions and tests performed for specified input data areas. The work shows that the known reliability growth models are of monotonically increasing type, which is not in line with current multi-version team technologies of software development that are primarily based on the open-source code. The authors suggest new nonmonotonically increasing models of software reliability evaluation and planning that allow taking into account the effect of decreased reliability resulting from updates or wavefront errors. The work describes the elaborated bigeminal and generic reliability evaluation model as well as the models and test planning procedures. The work includes calculated expressions for the evaluation of the model accuracy and shows that the developed models are adequate to real data. An example is given of transition from probability models to fuzzy models in case of incomplete basic data. The work provides general recommendations for selection of software tool testing models.

show abstract

“…Approval of mandatory requirements for formalizing the results of compliance assessment of high-confidence information protection software [1] lent relevance to the use of mathematical models for assessing IS software performance reliability and safety. Although studies into mathematical models for software reliability assessment were first undertaken back in the second half of the last century [2,3], these issues remain relevant nowadays [4][5][6][7][8][9][10][11][12][13][14][15][16]. All this relates both to software manufacturing technologies (for example, open source software) and to newly introduced international standards in the software engineering and information security area (ISO/IEC 15408, ISO/IEC 33001, IEC 61508, IEC 61511 etc.)…”

Section: Introductionmentioning

confidence: 99%

Simulation of Software Security Tests by Soft Computational Methods

Markov¹,

Markov²,

Tsirlov³

2019

Proceedings of the VIth International Workshop 'Critical Infrastructures: Contingency Management, Intelligent, Agent-Based, Clo

View full text Add to dashboard Cite

The worth of the using of software performance reliability assessment models at early testing stages is shown. The characteristic property of nonmonotonic increasing of performance reliability of current software systems is underscored. Ways of enhancing adequacy and fidelity of software testing simulation are exemplified. The conditions of using of soft computing for assessing the reliability and security of information systems software are shown.

show abstract

A probabilistic model of the control of technical systems

Cited by 5 publications

References 0 publications

Ultrahigh Q-frequency product for optomechanical disk resonators with a mechanical shield

Ultrahigh Q-frequency product for optomechanical disk resonators with a mechanical shield

Models for Testing Modifiable Systems

Simulation of Software Security Tests by Soft Computational Methods

Contact Info

Product

Resources

About