4,067 research outputs found
Approaches for the Development of Low-Budget Analyzers of the Spectrum Sensor Networks 2.4β2.5 GHz
In Ukraine, more and more new home and industrial networks are being built with full or partial use of wireless technologies. Over the past few years, such technologies have become the de facto standard. The number of networks is increasing because of their affordability and ease of use, the emergence of industrial roaming systems, a wide range of antenna equipment and permissions fixed at the legislative level. When designing a wireless network, it is not possible to anticipate all the nuances: re-reflection, shading, directionality of the antennas of the receivers, etc., so after the construction of a real system, you need to check it and reduce the impact of negative factors. Spectrum analyzers help solve this problem
Optimal control in the switched fuzzy models of management processes
Π ΠΎΠ·Π³Π»ΡΠ΄Π°ΡΡΡΡΡ ΠΏΡΠΎΠ±Π»Π΅ΠΌΠΈ ΠΏΡΠΎΠ΅ΠΊΡΡΠ²Π°Π½Π½Ρ ΠΌΡΠ½ΡΠΌΠ°Π»ΡΠ½Π° Π΅Π½Π΅ΡΠ³ΡΡ ΡΠΏΡΠ°Π²Π»ΡΠ½Π½Ρ Π΄Π»Ρ ΠΎΠ΄Π½ΠΎΠ³ΠΎ ΠΊΠ»Π°ΡΡ Π΄ΠΈΠ½Π°ΠΌΡΡΠ½ΠΈΡ
ΡΠΈΡΡΠ΅ΠΌ Π’Π°ΠΊΠ°Π³Ρ-Π‘ΡΠ³Π΅Π½ΠΎ Ρ Π±Π΅Π·ΠΏΠ΅ΡΠ΅ΡΠ²Π½ΠΎΠΌΡ ΡΠ°ΡΡ. Π ΠΎΠ±ΠΎΡΠ° ΡΠΏΡΡΠΌΠΎΠ²Π°Π½Π° Π½Π° Π²ΠΈΠΊΠΎΠ½Π°Π½Π½Ρ ΠΊΠΎΠΌΡΡΠ°ΡΡΠΉΠ½ΠΎΠ³ΠΎ Π·Π°ΠΊΠΎΠ½Ρ Π΄Π»Ρ ΠΏΡΠ΄ΠΌΠΎΠ΄Π΅Π»Ρ. ΠΡΠΎΠΏΠΎΠ½ΠΎΠ²Π°Π½ΠΈΠΉ ΠΏΡΠ΄Ρ
ΡΠ΄ Π·Π°ΡΠ½ΠΎΠ²Π°Π½ΠΈΠΉ Π½Π° ΠΏΡΠΈΠ½ΡΠΈΠΏΡ ΠΎΠΏΡΠΈΠΌΠ°Π»ΡΠ½ΠΎΡΡΡ ΠΠ΅Π»Π»ΠΌΠ°Π½Π°. ΠΠΎΡΡΠ²Π½ΡΠ½Π½Ρ ΡΡΡΠΊΠΈΡ
ΠΏΠ΅ΡΠ΅ΠΌΠΈΠΊΠ°Π½Ρ Ρ Π½Π΅ΡΡΡΠΊΠΈΡ
ΠΌΠΎΠ΄Π΅Π»Π΅ΠΉ ΠΏΡΠΎΠ²ΠΎΠ΄ΠΈΡΡΡΡ Π· ΠΌΠ΅ΡΠΎΡ Π΄Π΅ΠΌΠΎΠ½ΡΡΡΠ°ΡΡΡ Π΅ΡΠ΅ΠΊΡΠΈΠ²Π½ΠΎΡΡΡ Π½Π΅ΡΡΡΠΊΠΎΡ ΠΌΠΎΠ΄Π΅Π»Ρ Π΄Π»Ρ ΠΎΠΏΡΠΈΠΌΡΠ·Π°ΡΡΡ ΡΠ½Π΄Π΅ΠΊΡΡ Π΅Π½Π΅ΡΠ³Π΅ΡΠΈΡΠ½ΠΎΡ Π΅ΡΠ΅ΠΊΡΠΈΠ²Π½ΠΎΡΡΡ. Π¦Ρ Π³ΡΠ° Π· ΡΡΡΠΊΠΈΠΌΠΈ Ρ Π½Π΅ΡΡΡΠΊΠΈΠΌΠΈ ΡΠ°ΡΡΠΈΠ½Π°ΠΌΠΈ Π΄Π»Ρ ΠΎΠΏΡΠΈΠΌΡΠ·Π°ΡΡΡ ΠΏΡΠΎΠ±Π»Π΅ΠΌΠΈ ΠΎΠ±Π³ΠΎΠ²ΠΎΡΡΡΡΡΡΡ ΡΠΊ ΠΌΠ°ΠΉΠ±ΡΡΠ½ΡΠΉ Π°ΠΊΡΡΠ°Π»ΡΠ½ΠΈΠΉ Π½Π°ΠΏΡΡΠΌΠΎΠΊ Π΄ΠΎΡΠ»ΡΠ΄ΠΆΠ΅Π½Ρ. ΠΡΡ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΠΈ ΠΏΡΠΎΡΠ»ΡΡΡΡΠΎΠ²Π°Π½Ρ Π½Π° ΠΏΡΠΈΠΊΠ»Π°Π΄Π°Ρ
Π½Π΅ΡΡΡΠΊΠΈΡ
ΡΠΈΡΡΠ΅ΠΌ ΠΎΠ±ΡΠΈΡΠ»ΡΠ²Π°Π»ΡΠ½ΠΎΠ³ΠΎ ΡΠ½ΡΠ΅Π»Π΅ΠΊΡΡ.Π Π°ΡΡΠΌΠ°ΡΡΠΈΠ²Π°ΡΡΡΡ ΠΏΡΠΎΠ±Π»Π΅ΠΌΡ ΠΏΡΠΎΠ΅ΠΊΡΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΠΌΠΈΠ½ΠΈΠΌΠ°Π»ΡΠ½Π°Ρ ΡΠ½Π΅ΡΠ³ΠΈΡ ΡΠΏΡΠ°Π²Π»Π΅Π½ΠΈΡ Π΄Π»Ρ ΠΎΠ΄Π½ΠΎΠ³ΠΎ ΠΊΠ»Π°ΡΡΠ° Π΄ΠΈΠ½Π°ΠΌΠΈΡΠ΅ΡΠΊΠΈΡ
ΡΠΈΡΡΠ΅ΠΌ Π’Π°ΠΊΠ°Π³ΠΈ-Π‘ΡΠ³Π΅Π½ΠΎ Π² Π½Π΅ΠΏΡΠ΅ΡΡΠ²Π½ΠΎΠΌ Π²ΡΠ΅ΠΌΠ΅Π½ΠΈ. Π Π°Π±ΠΎΡΠ° Π½Π°ΠΏΡΠ°Π²Π»Π΅Π½Π° Π½Π° Π²ΡΠΏΠΎΠ»Π½Π΅Π½ΠΈΠ΅ ΠΊΠΎΠΌΠΌΡΡΠ°ΡΠΈΠΎΠ½Π½ΠΎΠ³ΠΎ Π·Π°ΠΊΠΎΠ½Π° Π΄Π»Ρ ΠΏΠΎΠ΄ΠΌΠΎΠ΄Π΅Π»ΠΈ. ΠΡΠ΅Π΄Π»Π°Π³Π°Π΅ΠΌΡΠΉ ΠΏΠΎΠ΄Ρ
ΠΎΠ΄ ΠΎΡΠ½ΠΎΠ²Π°Π½ Π½Π° ΠΏΡΠΈΠ½ΡΠΈΠΏΠ΅ ΠΎΠΏΡΠΈΠΌΠ°Π»ΡΠ½ΠΎΡΡΠΈ ΠΠ΅Π»Π»ΠΌΠ°Π½Π°. Π‘ΡΠ°Π²Π½Π΅Π½ΠΈΠ΅ ΡΠ΅ΡΠΊΠΈΡ
ΠΏΠ΅ΡΠ΅ΠΊΠ»ΡΡΠ΅Π½ΠΈΠΉ ΠΈ Π½Π΅ΡΠ΅ΡΠΊΠΈΡ
ΠΌΠΎΠ΄Π΅Π»Π΅ΠΉ ΠΏΡΠΎΠ²ΠΎΠ΄ΠΈΡΡΡ Ρ ΡΠ΅Π»ΡΡ Π΄Π΅ΠΌΠΎΠ½ΡΡΡΠ°ΡΠΈΠΈ ΡΡΡΠ΅ΠΊΡΠΈΠ²Π½ΠΎΡΡΠΈ Π½Π΅ΡΠ΅ΡΠΊΠΎΠΉ ΠΌΠΎΠ΄Π΅Π»ΠΈ Π΄Π»Ρ ΠΎΠΏΡΠΈΠΌΠΈΠ·Π°ΡΠΈΠΈ ΠΈΠ½Π΄Π΅ΠΊΡΠ° ΡΠ½Π΅ΡΠ³Π΅ΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΡΡΡΠ΅ΠΊΡΠΈΠ²Π½ΠΎΡΡΠΈ. ΠΡΠ° ΠΈΠ³ΡΠ° Ρ ΡΠ΅ΡΠΊΠΈΠΌΠΈ ΠΈ Π½Π΅ΡΠ΅ΡΠΊΠΈΠΌΠΈ ΡΠ°ΡΡΡΠΌΠΈ Π΄Π»Ρ ΠΎΠΏΡΠΈΠΌΠΈΠ·Π°ΡΠΈΠΈ ΠΏΡΠΎΠ±Π»Π΅ΠΌΡ ΠΎΠ±ΡΡΠΆΠ΄Π°Π΅ΡΡΡ ΠΊΠ°ΠΊ Π±ΡΠ΄ΡΡΠ΅Π΅ Π°ΠΊΡΡΠ°Π»ΡΠ½ΠΎΠ΅ Π½Π°ΠΏΡΠ°Π²Π»Π΅Π½ΠΈΠ΅ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠΉ. ΠΡΠ΅ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΡ ΠΏΡΠΎΠΈΠ»Π»ΡΡΡΡΠΈΡΠΎΠ²Π°Π½Ρ Π½Π° ΠΏΡΠΈΠΌΠ΅ΡΠ°Ρ
.Π½Π΅ΡΠ΅ΡΠΊΠΈΡ
ΡΠΈΡΡΠ΅ΠΌ Π²ΡΡΠΈΡΠ»ΠΈΡΠ΅Π»ΡΠ½ΠΎΠ³ΠΎ ΠΈΠ½ΡΠ΅Π»Π»Π΅ΠΊΡΠ°.This paper deals with the problem of designing minimum-energy control for a class of Takagi-Sugeno
continuous-time dynamical systems. The work is focused on fulfillment of the switching law for submodels. The proposed approach is based on Bellmanβs principle of optimality. The comparison of crisp switching and fuzzy models is conducted to demonstrate the effectiveness of the fuzzy model to optimize the energy efficiency index. The different combination of crisp and fuzzy parts for the optimization problem is discussed as future topical trends of studies. All results are illustrated with examples
Rational Choice of Machining Tools Using Prediction Procedures
Introducing the methods and procedures for predictive analysis into the design process contours of a variety of machining tools (MT) of metal cutting machines is the main aim of this article. A sequence of realization of prediction object (PO) choice as an initial stage of search of perspective designs is offered. Effective in this regard is the "Tree of objectives" apparatus, on the basis of which many ways of improving MT are formed, selecting progressive (reducing the dimension of the problem) at each level of the hierarchy of the constructed graph-tree. The procedure for selecting the prediction method (PM) as a means of generating the forecast data is developed. The task of choosing a method is structured in detail and uses "Information supply"as the main criterion. To this end, assessment scales of choice criteria have been formed, on the basis of which it is possible to evaluate their effectiveness for the PM selection process. The rules forPOcoding are introduced by a three-element information code, including information source classes β static data, expert estimates and patent data. The process of forecasting the MT components by the method of engineering forecasting on the basis of a representative patent fund is realized. The General Definition Table has been built (GDT "Machining tools") and estimates of the prospects of design solutions have been obtained. A fragment of the database of 3D models of promising MT designs in the integrated computer-aided design KOMPAS-3D is proposed
Scalable Data Augmentation for Deep Learning
Scalable Data Augmentation (SDA) provides a framework for training deep
learning models using auxiliary hidden layers. Scalable MCMC is available for
network training and inference. SDA provides a number of computational
advantages over traditional algorithms, such as avoiding backtracking, local
modes and can perform optimization with stochastic gradient descent (SGD) in
TensorFlow. Standard deep neural networks with logit, ReLU and SVM activation
functions are straightforward to implement. To illustrate our architectures and
methodology, we use P\'{o}lya-Gamma logit data augmentation for a number of
standard datasets. Finally, we conclude with directions for future research
Quantum Resonances and Regularity Islands in Quantum Maps
We study analytically as well as numerically the dynamics of a quantum map
near a quantum resonance of an order q. The map is embedded into a continuous
unitary transformation generated by a time-independent quasi-Hamiltonian. Such
a Hamiltonian generates at the very point of the resonance a local gauge
transformation described the unitary unimodular group SU(q). The resonant
energy growth of is attributed to the zero Liouville eigenmodes of the
generator in the adjoint representation of the group while the non-zero modes
yield saturating with time contribution. In a vicinity of a given resonance,
the quasi-Hamiltonian is then found in the form of power expansion with respect
to the detuning from the resonance. The problem is related in this way to the
motion along a circle in a (q^2-1)-component inhomogeneous "magnetic" field of
a quantum particle with intrinsic degrees of freedom described by the SU(q)
group. This motion is in parallel with the classical phase oscillations near a
non-linear resonance. The most important role is played by the resonances with
the orders much smaller than the typical localization length, q << l. Such
resonances master for exponentially long though finite times the motion in some
domains around them. Explicit analytical solution is possible for a few lowest
and strongest resonances.Comment: 28 pages (LaTeX), 11 ps figures, submitted to PR
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