2687-0517
Computing, Telecommunication and Control
4
224
2015
RAR
RUS
7-17
Efremova
Oksana
efremova-oa@yandex.ru
Plekhanov
Sergey
ra9wtl@mail.ru
Saubanov
Oleg
oleggis@mail.ru
Integration of the Urban Emergency Services Information Systems on the Basis of Multidimensional Data Models
The article deals with the integration of information systems for emergency assistance decision support at the municipal level. There are different emergency services maintaining their own information systems with incompatible data structures. In many cases, information interchange for a coordinated response from more than one service is required. The article studies the problems of the integration of heterogeneous information systems with different architectures and database structures. The use of multidimensional and extended multidimensional objects for combined description of the databases with different structures is considered. Various integration schemes for different information systems are discussed. An example of the integration of information systems of emergency services of the city of Ufa is given.
10.5862/JCSTCS.224.1
004:046
information system
the city emergency services
decision making support
multidimensional data model
multidimensional data objects
the system-112
the integration of information systems
https://infocom.spbstu.ru/article/2015.45.1/
01.pdf
RAR
RUS
19-24
Piatak
Ivan
i.m.piatak@gmail.com
Leontiev
Evgeniy
johnleon010@gmail.com
Design of Electronic Devices with Adjustable Parameters in LABVIEW
This paper shows the advantages of using graphical programming in LabVIEW to design a model of an electronic device with adjustable parameters. The model of the digital gain error calibration and correction system for a 12-bit 200-Ms/s pipelined ADC has been constructed. The results of computer simulation in LabWIEV are presented. As shown, digital error correction can reduce op-amp requirements while maintaining the same SNDR and SFDR ratios. For example, the simulation has shown that operational amplifiers with a DC gain of 48 dB instead of 68 dB can be used in a pipelined ADC with digital correction. This approach can reduce ADC power twofold.
10.5862/JCSTCS.224.2
621.396
LABVIEW
pipelined ADC
digital gain error calibration and correction
https://infocom.spbstu.ru/article/2015.45.2/
02.pdf
RAR
RUS
25-35
6603839750
Sergey M. Ustinov
Peter the Great St.Petersburg Polytechnic University
usm50@yandex.ru
Polytechnicheskaya, 29, St.Petersburg, 195251, Russia
On the Solution of a Linear Least Squares Problem with Linear Inequality Constraints
The key point in the solution of the linear least squares problem with linear inequality constraints is the number of parameters belonging to the border region that are allowed to change in the next step of the method. It has been shown that the removal of two or more parameters from the active set does not guarantee for the algorithm to work successfully. The theoretical results are illustrated by computational experiments. A two-stage procedure of sequential-quadratic programming was included as a subsystem in the advanced POISK software solving a wide range of problems of steady-state stability of large power pools. This ensures a reduction in the amount of computations by several orders.
10.5862/JCSTCS.224.3
519.6
linear least squares problem with linear inequality constraints
active set
sequential-quadratic programming
steady-state stability
https://infocom.spbstu.ru/article/2015.45.3/
03.pdf
RAR
RUS
37-50
Podkopaev
Anton
Saint Petersburg State University
Korovianskii
Aleksei
aleksei.korovianskii@student.spbu.ru
Ozernykh
Igor
st011628@student.spbu.ru
A Language-Independent Code Formatting by Syntactic Matching and Templates
In paper we consider a code-formatting problem. A novel concept of declarative printers is introduced. These devices can perform formatting in accordance with the style of the rest of the source code. For this purpose, declarative formatters extract syntactic templates from the sample code and use them to construct a new representation of the input program. A proposed solution produces optimal program presentation in polynomial time. It is achieved by using polynomial-time pretty-printer combinators and introducing a partial order on text representations. We also present the results of evaluating the approach in the Java and Haskell languages. The development of a declarative printer for simple imperative language While is described. A comparison with modern IDEs code formatters is also presented.
10.5862/JCSTCS.224.4
004.4’232
formatting
template
combinators
https://infocom.spbstu.ru/article/2015.45.4/
04.pdf
RAR
RUS
51-58
Aliabev
Aleksei
alyabjev_au@mail.ru
Atomic Layer Deposition Technology for Electronic Components Production
An atomic layer deposition technique provides key advantages for developing more efficient materials with optimized dielectric properties (high-k dielectrics) for various semiconductor device applications (for example, transistors and memory cells). Highly conformal atomic layer deposition of dielectric layers on 200 and 300 mm silicon wafers, especially HfO2, has no alternative in sight for the next generations of microelectronics. Thus, we have examined the growth behavior of Hafnium-based materials and focused on the impact of precursor chemistry and process conditions on the bulk growth behavior and the ALD growth characteristics of ternary oxides. Two different ALD reactor design types and two wafer diameters results were compared. The results of measuring the dielectric properties and a microstructure analysis have been shown and discussed.
10.5862/JCSTCS.224.5
621.382.323
atomic layer deposition
High-k dielectrics
MOSFET
hafnium oxide
https://infocom.spbstu.ru/article/2015.45.5/
05.pdf
RAR
RUS
59-69
Kozionov
Alexey
alexey.kozionov@gmail.com
Pyayt
Alexander
alexander.pyayt@siemens.com
Mokhov
Ilya
Ivanov
Yuri
upi@mail.ru
An Algorithm for Detecting Abnormal Dike State Based on Wavelet Transform and One-Class Classification of One-Dimensional Signals
Dike conditions monitoring is a challenging task. Algorithms for dike anomaly detection are one of the key components of a dike condition monitoring system. Algorithms for anomaly detection have to detect anomalies in dike behaviour (abnormal behaviour) in an on-line mode based on measurements collected from sensors installed in the dike. A machine-learning-based algorithm presented in this paper is trained on historical data on the normal dike state because data for abnormal dike behaviour is not available and simulation is time-consuming. Detection of abnormal dike behaviour is done by applying a ‘neural clouds’ one-class classification method. The ‘neural clouds’ one-class classifier is used for estimating the nonlinear fuzzy membership function of normal behavior for features from wavelet decomposition. The application of a wavelet transform can detect abnormal dike behaviour hidden in the time-frequency signal properties. Algorithms were tested on real data of a dike located in Boston, United Kingdom.
10.5862/JCSTCS.224.6
681.51
anomaly detection
dike conditions monitoring
intelligent signal processing
wavelets
neural clouds
one-class classification
https://infocom.spbstu.ru/article/2015.45.6/
06.pdf
RAR
RUS
70-80
Burdakov
Sergey
Peter the Great St.Petersburg Polytechnic University
control2@compmech.spbstu.ru
Shagniev
Oleg
shagnoleg@yandex.ru
Mechanics Models in the Control Problem of the Force Interaction between a Robot and a Free-Formed Surface
10.5862/JCSTCS.224.7
681.51
robot
free-formed surface
force sensing
mechanics models
position force control
learning
https://infocom.spbstu.ru/article/2015.45.7/
07.pdf
RAR
RUS
81-90
Muravyov
Sergey
muravyov@tpu.ru
Marinushkina
Irina
irinamar@tpu.ru
Towards a Justification of Choosing the Number of Participants for Interlaboratory Comparisons
The article has investigated a model based on the geometrical distribution and connecting a probability of determining the reference value of a measured quantity with m interlaboratory comparison participants. We have conducted an analysis of the dependency of the probability of determining the reference value of the measured quantity on the number of additional laboratories introduced into a group of comparison participants. On the base of this analysis, recommendations are given for a reasonable choice of the number m at a given elementary probability of determining the reference value for a single laboratory that are ranged from 4 to 10-15. As a rule, at this amount of participating laboratories, including new participants into the comparison group does not produce a positive effect.
10.5862/JCSTCS.224.8
519.812.4:681.2.082
interlaboratory comparisons
reference value
Bernoulli trial
geometrical distribution
probability of reference value determination
https://infocom.spbstu.ru/article/2015.45.8/
08.pdf
RAR
RUS
91-104
Seliverstov
Yaroslav
Solomenko Institute of Transport Problems of the Russian Academy of Sciences, University National Technology Initiative 2035
maxwell_8-8@mail.ru
Seliverstov
Sviatoslav
Institute of oriental manuscripts of Russian Academy of Sciences
amuanator@rambler.ru
The Formal Development of Patterns of Daily Travel Activity Chains of the Urban Population
Patterns of chains of daily travel activity of the urban population are developed in the paper by using the M-operator. The principle of the regularity of the travel activity of a city dweller is formulated here. A formal explanation of the calculation of the matrix of correspondence through the chains of daily travel activity of the population using the operator of transport correspondence is given. Values of pedestrian and traffic flows between corresponding objects are determined. The condition of the observability of transport flows is formulated in the article. The efficiency coefficient of the system of urban of transport of monitoring is introduced and its field of use is explained here. Simple patterns of forecast chains of daily travel activity are suggested for the first time and explained by a practical example.
10.5862/JCSTCS.224.9
656, 004.8, 007.5 , 51-74, 510.67
transport modeling
intelligent transport systems
daily activity-travel patterns
patterns of daily travel activity chains
matrix of transport correspondences
traffic flow
transport monitoring
principle of the regularity of travel activity
smar
https://infocom.spbstu.ru/article/2015.45.9/
09.pdf
RAR
RUS
105-113
Bushtruk
Tatyana
btnsam@mail.ru
Tsarygin
Maksim
max_crazzy@mail.ru
Klenjushin
Dmitry
klenyshinds@gmail.com
A Training Computer Complex for the Staff of Railcar Depot Enterprises with Identification and Time Series Forecasting Module
A training computer complex has been designed for the technical and management staff of a railcar depot. Interactive use of the studied objects is implemented for the complex. A module of time series identification is integrated in the program complex. We have described a method and an algorithm for identifying time process models and time series prediction algorithms. The expression obtained gives the solution of the formed filter identification. The obtained time series models are used in the control and forecasting systems. Adaptation of the measuring and computing identification system ensures the accuracy of the forecasting assessments. Management decisions for using the material and technical resources will thus be optimal.
10.5862/JCSTCS.224.10
62-501.72: 62-501.5
training computer complex
time series
correlative-spectral analyzer
identification of time processes
control system
forecast
https://infocom.spbstu.ru/article/2015.45.10/
10.pdf