2687-0517
Computing, Telecommunication and Control
3
247
2016
RAR
RUS
7-12
Sergeev
A.Ya.
acsergeev@yandex.ru
Cost-Effective Final-Stage Transistor Amplifier of a Tetrode-Based Transmitter
The paper considers the performance of an amplifying final stage of a broadcasting transmitter of the UHF range, in which excitation pulses are formed at the expense of charge and discharge of the lamp input capacity. It is shown that it can be technically implemented through a scheme similar to a series inverter. We have analyzed the capacitor load performance of such an inverter. The corresponding experimental results are demonstrated.
10.5862/JCSTCS.247.1
621.396
transmitter
tetrode
input capacity
series inverter
https://infocom.spbstu.ru/article/2016.50.1/
1_7_12.pdf
RAR
RUS
13-22
Smerdov
Rostislav
rostofan@gmail.com
Loboda
Vera
Peter the Great St.Petersburg Polytechnic University
Polytechnicheskaya, 29, St.Petersburg, 195251, Russian Federation
Spivak
Yulia
ymkanageeva@yandex.ru
Moshnikov
Vyacheslav
vamoshnikov@mail.ru
UV-Vis Band-Stop Filter Based on Plasmon Resonance for Fluorescent Microscopic Applications.
A synthesis technique for plasmonic array of silver nanoparticles is developed. Double absorption band (260 nm and 360 nm) UV-Vis filter based on plasmon resonance of functionalized silver nanoparticles array is realized. The dependence of prototype attenuation characteristics on synthesis parameters is investigated utilizing Electronic Absorption Spectroscopy technique. The possibility of achieving a sufficient level of optical attenuation (up to 40 dB) by producing an array of plasmonic nanoparticles with less variations in size and less fractality while increasing anodizing current density of silicon matrix. The superiority of plasmon filter over interference filter in terms of adjustment of attenuation band position is revealed.
10.5862/JCSTCS.247.2
621.315
band-stop filter
plasmon resonance
fluorescence microscopy
Drude model
fractals
Unno-Imai technique
https://infocom.spbstu.ru/article/2016.50.2/
2_13_22.pdf
RAR
RUS
23-34
Kopp
Vadim
volkov-and@yandex.ru
Zamoryonov
Michael
zamoryonoff@gmail.com
Objerin
Yuriy
objsev@mail.ru
Larin
Mikhail
kai-desu@mail.ru
Using the Method of Trajectories for Constructing a Semi-Markov Model of a ‘Technological Cell – Storage Device’ Structure
The article presents and proves a theorem about the distribution functions for the times that the system spends in specific states taking into account the repeated enterings. The proof is based on the theorem of the mathematical expectation of the time the system spends in a given subset of states. The theorem can be used only for discrete systems. In the case of a system with a continuous phase space of states it is necessary to use the algorithm phase consolidation in order to bring the system to a discrete form. The trajectories method that allows to determine the distribution function for the time the system spends in a subset of states is presented. The current method gives the opportunity to not approximately but exactly determine the form of the distribution function for the time the system spends in a subset of states in the area of Laplace images. The trajectories method is compared to the classical method using integral Markov renewal equations on a specific example of the ‘technological cell – storage device’ structure with regard to the reliability of both the cell and the storage drive.
10.5862/JCSTCS.247.3
621.0:519.873
semi-Markov system
method of trajectories
repeated enterings
https://infocom.spbstu.ru/article/2016.50.3/
3_23_34.pdf
RAR
RUS
35-47
Gorozhankin
Sergei
gormar52@gmail.com
Shitov
Anatoly
shitov@mail.ru
Savenkov
Nikita
SavenkovNV@yandex.ru
Procedures for Approximating Dependences of Several Variables in MS Excel and Mathcad Software Environment
The article suggests a technique for approximating the original data via continuous smooth functions of several variables when performing the experimental part of a scientific study. The material is based on using such relatively common software like MS Excel and Mathcad, it can be implemented in structurally and functionally similar computer programs, and also provides results of practical application on the example of approximating the characteristics of a modern automobile internal combustion engine via functions of several variables of different kinds. In addition, the paper presents recommendations for rational use of the suggested methods and possible related difficulties in their implementation in the considered software shells. Theoretical material and practical examples of the approximation procedures prepared by the authors are distinguished by a lot of options, flexibility of application to different types of representation of the original data, as well as the relative ease of use, because they are based on a simple-to-complex basis.
10.5862/JCSTCS.247.4
517.4+004.942
approximation
dependent
function of several variables
argument
study
experiment
discrete data
computer program
spline
algorithm
https://infocom.spbstu.ru/article/2016.50.4/
4_35_47.pdf
RAR
RUS
49-57
Limanova
Nataliia
Nataliya.I.Limanova@gmail.com
Ataev
Sergey
sergeyataev@gmail.com
Computer-Aided Parametrization Algorithm for Tomographic Objects and Its Practical Realization
Nowadays X-ray computed tomography is widely used in medicine for solving various diagnostic problems. At the same time there is a large group of software whose function is to automate diagnostic processes, also known as computer-aided diagnosis software. However, there are still some processes which have not been automated yet. This concerns the parameters for calculating small objects of examination, such as pathological tumors, sinuses and so on, which occupy only a small part of the tomographic image. The known methods of automated image processing do not allow carrying out identification and parametrization of such objects. This study has proposed the algorithm and its software implementation allowing to visualize small objects in tomographic images, detect the boundaries of these objects and calculate their parameters with a high precision. This data can help medical professionals to make the diagnosis more precisely and faster and to reduce the number of repeated tomographic tests.
10.5862/JCSTCS.247.5
004.932.2
image analysis
image processing
X-ray computed tomography
computeraided diagnosis
parameter evaluation
algorithm
application software
https://infocom.spbstu.ru/article/2016.50.5/
5_49_57.pdf