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The primary purpose of this paper is to provide an overview of existing education solutions for IoT and develop proposals for their improvement. The study draws analysis of current conditions of the educational IoT sphere, a comparative analysis of educational products used for teaching of undergraduate students. With that the article describes the architecture of our own software and hardware platform for learning IOT. Moreover, this paper reviews methods and technical instruments employed to design software and hardware appliances.
Constant growth of spacecraft operating life requirements leads to creating equipment which fits these requirements. From this point of view, specifically durability prediction allows to evaluate the potential of creating equipment with a long operating life. On early stages of equipment’s development analytical methods of durability prediction are used. Obviously, the more precise the estimation is, the more likely that the practical test will confirm the durability predictions. Therefore, improving the engineering techniques of the durability prediction is a relevant problem.
The objective of this research is to improve the quality of design work by enhancing the engineering techniques of the durability prediction, which raise the authenticity of the evaluations.
Life of the equipment are calculated using the statistical modelling method (Monte-Carlo method). This method takes into consideration probabilistic characteristics of constituent elements’ life.
As a result, the problem of predicting operating life of electronic equipment using the reference data on early stages of development is solved. An analysis of standardized method of durability prediction was performed which revealed existing limitations for using this method when predicting operating life of electronic equipment. An alternate, statistical method of predicting operating life of electronic equipment was suggested and a software implementation was created. Developed software was tested and verified. Analytical experiments were performed to show the authenticity of the suggested method and to compare it to the standardized one.
Thus, results of the performed research show that the standardized method is applicable only for calculating the minimum operating time. Also, it was concluded that the truncation parameter of element’s life distribution, variation coefficient of life and some specific qualities of dependability prediction scheme have to be taken into consideration when predicting durability of electronic equipment.
New SOS MOSFET design with the presence of high-resistance undoped silicon of intrinsic conductivity in the channel
region near the source was proposed. 0.75 μm SOS MOSFET with the use of an "insertion" makes it possible to obtain
the transistor with characteristics corresponding to a transistor with 0.5 μm topological channel length. This allows the
factories to produce new competitive products without significant capital expenditures for the modernization of
Quasi-3D model for calculation of radiation leakage currents in modern submicron SOI MOSFET structures is proposed. Instead of the fully 3D modeling is proposed to solve two tasks: 2D modeling of the traditional MOSFET cross-section and 3D modeling of the side parasitic transistor. The radiation-induced leakage current simulation in the 0.35 μm SOI MOSFET structure with taking account ionizing radiation with a dose of up to 500 krad was simulated. The results of the simulation show that in comparison with the traditional fully 3D modeling, which requires 11 hours of computer time, the computer time for the IdVg characteristic was reduced to 71 minutes (i.e. the computer time decreased by 9 times).
Abstract. The article considers the features of super-scalar processors, their way of performing several operations on several pairs of operands simultaneously. The research focuses on the organization of processor pipeline execution operation of several machine instructions in one processor core. The simulating kit was developed for better understanding of a processor core microarchitecture. It includes two parts: program and methodical recommendations with multiple task options. The simulating kit demonstrates the pipeline architecture consisting of two clusters: front-end and back-end and the principle of translating complex multi-cycle CISC-like instructions into simpler RISC-like micro-operations. The main types of machine instructions are considered: data transfer between registers and memory cells (four variations), data processing of couple of operands from registers and memory cells (four variations), conditional jump to the specified address. The program-simulator makes it possible to conduct a more detailed simulation of one of the three mechanisms for calculations accelerating in the processor core: multi-functional (super-scalar) processing, out-of-order processing, speculative instructions execution after the branch prediction. The simulating kit is used in educational process when training masters of Higher School of Economics National Research University.
The task is to sharply reduce the complexity of analysis, multivariate analysis and parametric optimization of linear and linearized equivalent electrical circuits. The source of such schemes are not only linear electronic circuits, but also circuits formed on the basis of artificial electrical analogies. They can be formed on the basis of finite element methods and finite difference methods used in solving partial differential equations. The reduction in the complexity of computations is carried out by formal methods of transforming the model into a macromodel, which reflects only the input - output type relations of the original model. The e ssence of the work lies in the formal transformation of the model of a linear or linearized equivalent electrical circuit, formed using artificial electrical analogies methods, into a macromodel, according to which the same output characteristics can be calculated with the same accuracy but with increased speed by several orders of magnitude. Algorithms for such transformations are given. Using a macromodel, one can calculate static characteristics, frequency characteristics, zeros and poles of system functions, dynamic characteristics, eigenvalues, and vectors of a macromodel matrix, which make it possible to determine the stability and stability margin of the original circuit using the first А.М. Lyapunov method, its resonant eigenfrequencies and the duration of the transition process, as well as partial derivatives of the above characteristics for a small number of variable circuit parameters to replace the optimization of the circuit with the methods of the 1st order with its optimization by the macro model. In addition, macromodels can be used to create a new element, constructional, and technological base for design. Macromodel can serve as an element of a model of a higher hierarchical level. Block hierarchical process of macromodelling is possible.
In today's democratic digital society, the relevance of conducting open and objective voting using new information technologies is increasing. Existing solutions to practically used voting systems focus on technical and legal issues, rather than on the application of new information technologies at the voting stage. The article analyzes the problems of modern electoral systems, and based on an analysis of their shortcomings, a method, algorithms and software implementation of a voting system based on blockchain technology applications with a special software implementation of smart contracts, in which the shortcomings of existing systems are eliminated, are proposed.
As a digital artist’s tools, the following digital imaging technologies were considered in the article: creating abstract images using a neural network without an input image, base don’t he artist’s psycho-emotional state; creation of images using a neural network - a stylist, at the entrance of which there is a base image and a stylization file (artist’s picture, texture file, another image); technology of soft ware stylization of image processing and technology of fractal visualization. The developed technologies and the described algorithms can be useful for digital artists of such creative areas as: design, graphics, painting, architecture, cinema, VR, light installations.
The article gives a review of existing methods of network-on-chip design based on the approach in which mapping of the characteristic tasks graph is performed on a given regular topology. The networks-on-chip synthesis problem is generally characterized. The analysis and comparison of standard topologies (mesh and torus) with circulant topologies are performed. Advantages and disadvantages of mesh and torus topologies usage, and the effect, achieved by their application to various implementations of networks on chip, are analyzed. Extension of the scope of solutions for standard regular network topologies mesh and torus on the circulant topologies with better characteristics is proposed. This will make it possible to take advantage of the deterministic approach, but with the use of more effective NoC topologies optimized for a particular task.
The mass application of mobile cardiographs already leads to both explosive quantitative growth of the number of patients available for ECG study, registered daily outside the hospital (Big DATA in cardiology), and to the emergence of new qualitative opportunities for the study of long-term oscillatory processes (weeks, months, years) of the dynamics of the individual state of the Cardiovascular system of any patient.
The article demonstrates that new opportunities of long - term continuous monitoring of the Cardiov ascular system state of patients ' mass allow to reveal the regularities (DATA MINING) of Cardiovascular system dynamics, leading to the hypothesis of the existence of an adequate Cardiovascular system model as a distributed nonlinearself - oscillating system of the FPU recurrence model class . The presence of a meaningful mathematical model of Cardiovascular system within the framework of the FPU auto – recurrence , as a refinement of the traditional model of studying black box, further allows us to offer new computational methods for ECG analysis and prediction of Cardiovascular system dynamics for a refined diagnosis and evaluation of the effectiveness of the treatment.
This paper reviews modern ways of data preparation, acquisition and processing in projects based on Internet of Things concept. The best arrangements are considered, including strategies and techniques of network interaction, modern methods of computing organizations in projects, ways of showing and visualizing information for better client observation and realization, as well as additional technical solutions potentially applicable to developments based on the concept of the Internet of things. Selection and integration of solutions into a solitary coordinated arrangement of data collection and processing is being carried out, the extent of use and incorporation of the anticipated framework is investigated. Consequences of the experiment results examination based on the National Instruments laboratory equipment are presented.
Computer simulations and experimental investigation for characteristics of the standard analog device – the heterodyne executed on the printed circuit board with replacement insulators from the composite dielectric having controlled dark conductivity have been carried out. Results of simulation showed that increase in conductivity of material of the printed circuit board (PCB) up to 2·10-7 Ω-1 ·m-1 practically does not change operating characteristics of a heterodyne in the range of the frequencies of 9 - 37 MHz. Simulation results are in good agreement with experimental data. Possibility of their effective use in space application devices, which prevents emergence of electrostatic discharges it, has been shown.
The concept of a virtual workshop on disciplines of ICT is described. Options of realization of virtual practical works are considered. The architecture of a virtual practical work, invariant to basic disciplines of ICT is given. An example of a workshop on the course "Administration of Networks" is reviewed.
Computer model coupled blood pressure dynamics in magisterial and small arteries networks and
its stabilizing effect on heart functioning has been suggested. The Fermi-Pasta-Ulam auto recurrence
in the description of the electrical activity of the heart has demonstrated the universal role of the FPU
recurrence in the study of distributed dynamical systems. The heart electrical dynamics was described by
the coupled Van der Pol differential equations with a time lag, linked with two additively coupled nonlinear
differential equations circumscribing the blood pressure dynamics in the networks of magisterial and
small arteries. The mathematical model developed by Yuen and Lake for description of the deep wave
dynamics within the nonlinear Shrodinger (NSE) equation was used for description of the magisterial
arterial blood pressure whereas for small arteries blood pressure dynamics was used the approach
elaborated by Zabusky and Kruskal within the framework of the Korteveg de Vries (KdV) equation. The
arterial blood pressure dynamics was interpreted as coupled FPU recurrences showing a rich variety of
resulting FPU spectra, which were referred to different states of Cardio Vascular System. Synchronous
registering of the real ECG and Pulse Wave Fourier dynamic images allowed to unify the characteristic
Fourier pictures of the heart electrical activity with the hydrodynamic blood parameters developing in
the networks of two types of arteries. The computer study of the suggested model and comparison of its
results with the real data proved that the ECG Fourier parameters coupled with the Pulse Wave Fourier
parameters form the FPU spectra that increase stability of Cardio Vascular System and can be used for
diagnostics as well as for evaluation of the therapeutic arrangements results.