Approaches for the Development of Low-Budget Analyzers of the Spectrum Sensor Networks 2.4–2.5 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

Розглядаються проблеми проектування мінімальна енергія управління для одного класу динамічних систем Такагі-Сугено у безперервному часі. Робота спрямована на виконання комутаційного закону для підмоделі. Пропонований підхід заснований на принципі оптимальності Беллмана. Порівняння чітких перемикань і нечітких моделей проводиться з метою демонстрації ефективності нечіткої моделі для оптимізації індексу енергетичної ефективності. Ця гра з чіткими і нечіткими частинами для оптимізації проблеми обговорюється як майбутній актуальний напрямок досліджень. Всі результати проілюстровані на прикладах нечітких систем обчислювального інтелекту.Рассматриваются проблемы проектирования минимальная энергия управления для одного класса динамических систем Такаги-Сугено в непрерывном времени. Работа направлена на выполнение коммутационного закона для подмодели. Предлагаемый подход основан на принципе оптимальности Беллмана. Сравнение четких переключений и нечетких моделей проводится с целью демонстрации эффективности нечеткой модели для оптимизации индекса энергетической эффективности. Эта игра с четкими и нечеткими частями для оптимизации проблемы обсуждается как будущее актуальное направление исследований. Все результаты проиллюстрированы на примерах.нечетких систем вычислительного интеллекта.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 Bellman’s 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 – 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 $q$ 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