The changing labor market sets new requirements for specialists in the field of design. It is essential to adapt the educational process and its elements to the needs of producing competitive ...graduates, including in the subject area of spatial design. The specifics of this subject area dictate that higher school teachers employ the most effective methods and techniques in the disciplines that make up the course. It is important to not only familiarize students with the terminology, basic concepts and historical prerequisites of spatial design but also highlight the specifics of spatial design in its diversity. The article reviews the competences and identifies the core skills that a spatial designer must have in order to be competitive on the labor market.
Ultrasmall microring and microdisk lasers with an asymmetric air/GaAs/Al
0.98
Ga
0.02
As waveguide and an active region based on InAs/InGaAs/GaAs quantum dots emitting around 1.3 μm were fabricated ...and studied. The diameter
D
of the microrings and microdisks was either 2 or 1.5 μm, and the inner diameter
d
of the microrings varied from 20% to 70% of the outer diameter
D
. The microring with
D
= 2 μm and
d
= 0.8 μm demonstrated a threshold pump power as low as 1.8 μW at room temperature. Lasing was observed up to 100°C owing to the use of quantum dots providing high confinement energy both for electrons and holes. Tuning spectral positions of the whispering gallery modes via changing the inner diameters of the microrings was demonstrated.
PACS
78.67.Hc; 42.55.Sa; 42.50.Pq; 78.55.Cr
Visual speech recognition or automated lip-reading systems actively apply to speech-to-text translation. Video data proves to be useful in multimodal speech recognition systems, particularly when ...using acoustic data is difficult or not available at all. The main purpose of this study is to improve driver command recognition by analyzing visual information to reduce touch interaction with various vehicle systems (multimedia and navigation systems, phone calls, etc.) while driving. We propose a method of automated lip-reading the driver’s speech while driving based on a deep neural network of 3DResNet18 architecture. Using neural network architecture with bi-directional LSTM model and attention mechanism allows achieving higher recognition accuracy with a slight decrease in performance. Two different variants of neural network architectures for visual speech recognition are proposed and investigated. When using the first neural network architecture, the result of voice recognition of the driver was 77.68 %, which was lower by 5.78 % than when using the second one the accuracy of which was 83.46 %. Performance of the system which is determined by a real-time indicator RTF in the case of the first neural network architecture is equal to 0.076, and the second — RTF is 0.183 which is more than two times higher. The proposed method was tested on the data of multimodal corpus RUSAVIC recorded in the car. Results of the study can be used in systems of audio-visual speech recognition which is recommended in high noise conditions, for example, when driving a vehicle. In addition, the analysis performed allows us to choose the optimal neural network model of visual speech recognition for subsequent incorporation into the assistive system based on a mobile device.
The work is devoted to the study of the influence of reaction parameters on the qualitative and quantitative composition of magnetite nanoparticles. The method of their synthesis is optimized using ...the method of mathematical planning and processing of experimental data. The mathematical model is obtained. It was established that the molar ratio of iron (II) and (III) ions, the time of preliminary boiling of distilled water for preparing solutions, the presence of an inert atmosphere of nitrogen, as well as an excess of alkali affect the formation of a stoichiometric product. Monophase magnetite nanoparticles with an average diameter of 8-12 nm were obtained under optimal conditions. The product is characterized by the methods of transmission electron microscopy and X-ray phase analysis. The effect of pretreatment of magnetite nanoparticles with solutions of strong mineral acids on the stability of its hydrosols has been studied by dynamic and electrophoretic light scattering. It was established that the best stabilization is achieved by pretreatment of magnetite with a solution of perchloric acid
The work is devoted to the study of the influence of reaction parameters on the qualitative and quantitative composition of magnetite nanoparticles. The method of their synthesis is optimized using ...the method of mathematical planning and processing of experimental data. The mathematical model is obtained. It was established that the molar ratio of iron (II) and (III) ions, the time of preliminary boiling of distilled water for preparing solutions, the presence of an inert atmosphere of nitrogen, as well as an excess of alkali affect the formation of a stoichiometric product. Monophase magnetite nanoparticles with an average diameter of 8-12 nm were obtained under optimal conditions. The product is characterized by the methods of transmission electron microscopy and X-ray phase analysis. The effect of pretreatment of magnetite nanoparticles with solutions of strong mineral acids on the stability of its hydrosols has been studied by dynamic and electrophoretic light scattering. It was established that the best stabilization is achieved by pretreatment of magnetite with a solution of perchloric acid.
We propose a procedure for the significant enhancement of the strong coupling rate between photons in an optical cavity and a single quantum emitter, such as an atom, quantum dot or trapped ion. We ...show that specially designed, non-spherical mirrors can lead to cavity eigenmodes that exhibit a large field enhancement at the center of the cavity while inducing significantly less beam divergence, and therefore smaller round trip losses and higher cooperativity, than can be achieved by operating a spherical-mirror cavity in the near-concentric regime. We verify our designs using mode matching theory and discuss their robustness relative to different kinds of manufacturing deviations.
We demonstrate the use of machine learning through convolutional neural networks to solve inverse design problems of optical resonator engineering. The neural network finds a harmonic modulation of a ...spherical mirror to generate a resonator mode with a given target topology ("mode on-demand"). The procedure allows us to optimize the shape of mirrors to achieve a significantly enhanced coupling strength and cooperativity between a resonator photon and a quantum emitter located at the center of the resonator. In a second example, a double-peak mode is designed which would enhance the interaction between two quantum emitters, e.g., for quantum information processing.
We present a microscopic theory for the description of the bias-controlled operation of an exciton-polariton-based heterostructure, in particular, the polariton laser. Combining together the Poisson ...equations for the scalar electric potential and Fermi quasi-energies of electrons and holes in a semiconductor heterostructure, the Boltzmann equation for the incoherent excitonic reservoir and the Gross-Pitaevskii equation for the exciton-polariton mean field, we simulate the dynamics of the system minimising the number of free parameters and for the first time build a theoretical threshold characteristics: number of particles vs applied bias. This approach, which also accounts for the nonlinear (exciton-exciton) interaction, particle lifetime, and which can, in principle, account for any relaxation mechanisms for the carriers of charge inside the heterostructure or polariton loss, allows to completely describe modern experiments on polariton transport and model new devices.
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