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[1]. Ivanova Veronika, Plamen Vasilev, Ivilin Stoianov, Rumen Andreev, Ani Boneva,
Design of Multifunctional Operating Station based on Augmented
Reality (MOSAR), Journal Cybernetics and Information Technologies, Print ISSN:
1311-9702,Online ISSN: 1314-4081, Vol. 21, No. 1, Institute of Information
and Communication Technologies – BAS,
SJR (SCOPUS) 2019: 0,31, Q2, ID 127-20, DOI: 10.2478/cait-2021-0009,
2021, pp. 119-136 https://cit.iict.bas.bg/CIT-2021/v-21-1/10341-Volume21_Issue_1-09_paper.pdf Abstract Design principles of a novel Multifunctional Operation
Station (MOS) using Augmented Reality (AR) technology (MOSAR) are proposed in
this paper. ARbased design allows more ergonomic
remote instrument control in real time in contrast to classical
instrument-centered interfaces. Another advantage is its hierarchical
software structure including multiple programming interpreters. The MOSAR
approach is illustrated with a remote surgical operating station that
controls intelligent surgical instruments. The implementation of the
Operation Station (MOS) is based on the multiplatform open-source library Tcl/Tk, and an AR extension has
been developed on a Unity platform, using Vuforia
SDK. [2]. Ilchev Svetozar, Rumen Andreev,
Zlatoliliya Ilcheva,
Ekaterina Otsetova-Dudin, Three-channel
laser diode driver for multimedia laser projectors, International Journal
of Circuits, Systems and Signal Processing, ISSN: 1998-4464, Vol. 14, 2020,
pp. 451-459, DOI: 10.46300/9106.2020.14.60, (SJR (SCOPUS 2019) - 0.16, Q4) https://www.naun.org/main/NAUN/circuitssystemssignal/2020/b222005-bng.pdf Abstract The paper describes the design,
implementation and test results of a three-channel laser diode driver
intended for use in multimedia laser projectors. Our development goals were
to create a compact and power-efficient driver, which achieves good color
mixing and supports high modulation frequencies. It is compatible with most
laser diode configurations used in multimedia laser projectors with a total
optical output power of several watts. The driver is equipped with three
protected signal modulation inputs. It needs a single regulated power supply
between 9V and 18V and controls up to three cooling fans intended for the
thermal management of the laser diodes. Our initial tests show that the
driver works very well and is suitable for the long-term operation in
projector systems. In the future, we plan to perform more tests on the signal
feedback for various input signal combinations, which should result in
optimizations of the feedback configuration and improvements of the
modulation response of the driver. [3]. Ilchev
S, Andreev R, Ilcheva Z., Display of
Computer-Generated Vector Data by a Laser Projector, CompSysTech '20:
ACM International Conference
Proceeding Series, Ruse, June 2020 ã., ISBN: 978-1-4503-7768-3, Association for Computing
Machinery (ACM), New York, USA, pp. 11-18,
https://doi.org/10.1145/3407982.3407990,
SJR (SCOPUS) 2019: 0,2 https://dl.acm.org/doi/10.1145/3407982.3407990 Abstract.The paper proposes a new approach for the display of computer-generated
vector data by a laser projector that will benefit applications in the fields
of advertising, marketing and manufacturing. Among the advantages of laser
projections are the capability for a swift change of the projected content
and the high contrast and brightness of the presentation. They offer a
flexible way to attract human attention with a high degree of success. The
paper presents the design and development of the software and hardware
building blocks of our prototype laser-based projection system. First, the
overall conceptual design of the system is presented and the strategy for
adaptation of the vector data for laser projection is explained. Then, the
more important implementation details of both the software and hardware of
the system are described. The challenges that we encountered are discussed,
some experimental results are presented and the next steps for the successful
practical application of the system are outlined. [4]. Alexandrov A., R. Andreev, S. Ilchev, A. Boneva, S. Ivanov, and J.
Doshev, Modeling and simulation of Low Power Wireless Sensor
Networks based on Generalized Nets, International Conference High
Performance Computing 2019 – HPC 2019 Conference September 2-6, 2019,
Borovets, Bulgaria, Studies in Computational Intelligence, Vol. SCI 902,
Springer Verlag, 2020, ISSN:1860-949x, E-ISSN:1860-9503, pp. 3-14, DOI: https://doi.org/10.1007/978-3-030-55347-0_1, SJR (Scopus 2019):0.22, Q4) http://link-springer-com-443.webvpn.fjmu.edu.cn/chapter/10.1007%2F978-3-030-55347-0_1 Abstract The sensor networks in now days are
facing the additional requirement to provide the functionality to collect,
analyze and integrate the sensor data, i.e. to acts as intelligent sensor networks,
in addition to the typical transmission and routing functions. The energy
minimization at a fixed level performance is very important in wireless
sensor nodes which are mainly battery powered. Therefore the understanding of
the energy consumption characteristics of each sensor node is critical for
the design of energy saving monitoring strategies. The Low Power Wireless
Sensor Networks (LPWSN) which are a matter of the current research are
applied in many domains, such as ecological
and environmental monitoring, traffic management, military applications and
etc. The right and realistic model and an adequate simulation of wireless
sensor networks is a key step in the sensor networks architecture design
which can reduce sensitively the development cost and time. This paper
develops a model of LPWSN based on Generalized Nets to evaluate the energy
consumption of Wireless Sensor Nodes. The proposed model factors important
components of a typical sensor node, including SoC(System on Chip)
microcontrollers with energy-saving features, wireless frontend components,
and low power sensor modules. A Markov chain model of the same network with
the same input data was realized as a benchmark. Both models were simulated
in WSNet simulator. The output experimental results
show that the GN model is more flexible and accurate than the Markov Chain
model and provides a useful simulation platform to study energy-saving
strategies. [5]. Alexandrov A., R. Andreev, S. Ilchev, D., A. Boneva, S. Ivanov, and J.
Doshev, WSN-based prediction model of microclimate in a city
urbanized areas based on Extreme Learning and Kalman filter,
International Conference High Performance Computing 2019 – HPC 2019
Conference September 2-6, 2019, Borovets, Bulgaria, Studies in Computational
Intelligence, Vol. SCI 902, Springer Verlag, 2020, ISSN:1860-949x, E-ISSN:1860-9503, pp. 15-26, SJR (Scopus
2019):0.22,Q4) DOI: https://doi.org/10.1007/978-3-030-55347-0_2, https://link.springer.com/chapter/10.1007%2F978-3-030-55347-0_2 Abstract. The monitoring and microclimate
controlling in urbanized areas become one of the research hotspots in the
field of air quality, where the application of Wireless Sensor Networks (WSN)
recently attracts more attention due to its features of self-adaption,
resilience, and cost-effectiveness. Present microclimate monitoringand
control systems achieve their prediction by manipulating captured
environmental factors and traditional neural network algorithms. [6]. Ivanova Veronika, Ani Boneva, Yordan Doshev, Stoyan Ivanov, Plamen Vasilev, Multifunctional Operating
Station Based on Tcl/Tk
and its Applications, Proc. of the 6th IEEE International
Conference “Big Data, Knowledge and Control Systems Engineering”
(BdKCSE’2019), Sofia, Bulgaria, IEEE, Electronic ISBN: 978-1-7281-6481-6,
Print on Demand(PoD) ISBN: 978-1-7281-6482-3, 27
February 2020, pp. 1-7, DOI: 10.1109/BdKCSE48644.2019.9010662, èíäåêñèðà ñå â SCOPUS. https://ieeexplore.ieee.org/document/9010662 Abstract. The main goal of the work is design of a compact, convenient,
simplified, better possibilities and suitable for different application
Multifunctional Operating Station. In this publication, a method for the
design of an operating station based on Tcl/Tk is presented. A portable open source programming
platform is used that is implemented for different operating systems
(Windows, Unix, Linux, Solaris, Android). Three possible approaches to building an
operating station are illustrated - Classic approach,
"Multi-interpreter" realization using a number of TCL interpreters;
“Multi- threaded" mode. The approaches are
illustrated by presenting an implementation of an operating station for a
wireless control system for a group of intelligent instruments, which are
designed for SCADA Ignition applications. Unlike other software platforms the
presented operation station based on Tcl/Tk possesses some advantages main of which is that the
language model assumes the use of hierarchical structures including more than
one interpreter, each of which having their own set of operators and
addressing space. Tcl/Tk
based applications are presented. [7]. Ilchev S., Z. Ilcheva, Thermoelectric Cooling Driver for Laser Projection Systems,
Proc. of the 6th IEEE International Conference “Big Data, Knowledge and Control
Systems Engineering” (BdKCSE’2019), Sofia, Bulgaria, IEEE, Electronic ISBN:
978-1-7281-6481-6, Print on Demand(PoD) ISBN:
978-1-7281-6482-3, 27 February 2020, pp. 1-9, DOI:
10.1109/BdKCSE48644.2019.9010606, èíäåêñèðà ñå â SCOPUS https://ieeexplore.ieee.org/document/9010606 Abstract. In this paper, we present our new design of
a thermoelectric cooling driver for laser projection systems. It is a
reliable, effective cooling solution for semiconductor laser diodes that are
used instead of traditional displays or projectors when higher brightness or
contrast is required. Typical applications are multimedia shows, quality
improvement in production facilities or marketing in public areas. The laser
animations usually require rapid changes in the output power that are
difficult to predict. Our driver is capable of reacting to them by actively
pumping the excess power generated by the diodes into the main heatsink of
the system. The heat transfer speed is regulated by the driver in real time
to maintain an optimum working temperature. [8]. Tsankova D., S. Lekova, UV-Vis Spectroscopy and Chemometrics Analysis in
Distinguishing Different Types of Bulgarian Honey, Proc. of the 6th IEEE International Conference
“Big Data, Knowledge and Control Systems Engineering” (BdKCSE’2019), Sofia,
Bulgaria, IEEE, 27 February 2020, Ðåôåðèðà ñå â IEEE, , Electronic
ISBN: 978-1-7281-6481-6, Print on Demand(PoD) ISBN: 978-1-7281-6482-3,
pp. 1-4, DOI:
10.1109/BdKCSE48644.2019.9010601, èíäåêñèðà ñå â SCOPUS. https://ieeexplore.ieee.org/document/9010601 Abstract. The aim of the article is to
investigate the potential of honey discrimination (on the base of its
botanical origins) by UV-Vis spectroscopy and subsequent statistical cluster
analysis. Thirty-six samples from three types of honey (acacia, linden, and
honeydew) are measured by a spectrophotometer “Cary100” with recorded
wavelength range of 190~900 nm for calibration of honey classifier. Firstly,
principal components analysis (PCA) is used for reducing the number of inputs
(wavelengths) and a proper visualization of the experimental results. Next, the
first two principal components (PCs) are combined separately with Naïve
Bayes classification (NBC) and k-means clustering (KMC) to develop PC-NBC and
PC-KMC models. The high accuracy of the proposed honey classifiers is
confirmed by leave-one-out cross-validation test conducted in MATLAB
environment. [9]. Alexandrov A., R. Andreev, D. BatchvarovV, A. Boneva, S. Ilchev, S. Ivanov,
J. Doshev, Method for modeling and
simulation of parallel data integration processes in Wireless Sensor Networks,
13th International Conference International Conference on Flexible Query
Answering Systems - FQAS 2019, Amantea, Italy, July
2–5, 2019, Proceedings, Part of the Lecture Notes in Computer Science book
series (LNCS, volume 11529), Print ISBN: 978-3-030-27628-7, Electronic ISBN:
978-3-030-27629-4, Publisher: Springer, Cham, 12 September 2019, pp. 291-301,
DOI:
https://doi.org/10.1007/978-3-030-27629-4_27 Part of the Lecture
Notes in Computer Science book series (LNCS, volume 11529),
ISSN:0302-9743E-ISSN:1611-3349, Springer Nature, (SJR 2018 (Scopus): 0.283,
Q2) https://link.springer.com/chapter/10.1007%2F978-3-030-27629-4_27 Abstract. The parallel sensor data integration processing in Wireless Sensor Networks (WSNs) is one of the possible solutions to reduce the neighbor sensor node’s communication and to save energy. At the same time, the process of local sensor node integration needs an additional processor and energy resources. Therefore the development of a realistic and reliable model of data integration processes in WSNs is critical in many aspects. The paper presents a new method for modeling and simulation of sensor data integration parallel processing in WSNs. The proposed method use modeling based on the Generalized Nets (GN) approach which is an advanced way of parallel data processing and analysis of Wireless Sensor Systems (WSS). For simulation and analysis tool is used the WSNet simulator. The proposed GN based model covers most of the aspects of the parallel sensor data integration in the WSN’s, based on 802.15.4 protocols. [10]. Ilchev S., D. Petkov, R. Andreev,
Z. Ilcheva, Smart Electronic Control of a Compact Laser System
for Animation Projections,.j. Cybernetics and Information Technologies, Print ISSN: 1311-9702;
Online ISSN: 1314-4081, Volume 19, No 3, BAS, Sofia, 2019, pp. 137 – 153, SJR
(2018) - 0.215, DOI: 10.2478/cait-2019-0030, (SJR 2018 (SCOPUS) - 0.22, Q3) http://www.cit.iit.bas.bg/CIT_2019/v-19-3/10341-Vol-19_Issue_3-09_paper.pdf Abstract: In this paper, we present the design
of a compact laser system for animation projections both indoors and
outdoors. Our focus is on the hardware and software aspects of the electronic
control of the system from the design phase to the experimental tests and
evaluations. The main purpose behind our development efforts is the creation
of an affordable laser system for research, entertainment and marketing
purposes using contemporary advances in electronics, software development,
semiconductor laser diodes and optics. The system is “smart” in the sense
that it connects to other devices and the Internet via a WiFi
network, so that in addition to doing standalone laser projections, it also
has remote control and remote debugging capabilities. Via its two embedded
microcontrollers, the system offers an easy integration into an existing
Internet of Things (IoT) infrastructure. The experimental
results are very promising and bring us closer to creating a viable product
from both a technological and an economic standpoint. [11]. Ivanova V., D. BatchvarovV, Z. Ilcheva, A. Boneva, S. Ilchev, A. Alexandrov, R. Andreev, Experimental Studies of the Structure of Biological
Tissues Through Mechanical Effects with a Smart Laparoscopic Instrument,
j. MATEC Web of Conferences, eISSN: 2261-236X, Published by: EDP Sciences,
Volume 287, No. 07005, pp., 1-7, (Published online: 14 August 2019), DOI: https://doi.org/10.1051/matecconf/201928707005 (SJR2018 – 0,169) https://www.matec-conferences.org/articles/matecconf/pdf/2019/36/matecconf_pt2019_07005.pdf Abstract. The article presents investigations in the area of the analysis
of heterogeneous biological tissues using tools based on mechanical
stimulations. Some known tissue mechanical models are presented along with
one approach for specifying the tissue internal structure by measuring
mechanical macro parameters of the research tools. The methodology of micro
and macro stimulation is described and the construction of an experimental
model of a smart laparoscopic tool for its realization is presented. [12]. Lekova S., D. Gocheva, Statistical Analysis of Measurement Data, Proceedings for
International Conference AUTOMATICS AND INFORMATICS’2019, 03-05 October 2019,
ISSN 1313-1850, CD: ISSN 1313-1869, John Atanasoff Society
of Automatics and Informatics, Sofia, Bulgaria, 2019, pp. 231 – 234, (in
Bulgarian), http://www.sai.bg/ProgramAI19.pdf Abstract. Good laboratory practice requires
laboratories to ensure the quality of analyzes and assess the extent of human
exposure to different chemicals and reagents. The subject of research and
analysis are data from measurement of samples between two laboratories, by
two different methods, in the processing of ore in the “Elatsite“ mine complex. Of particular importance is the reliable
measurement of the products (concentrations) from the flotation process
(content of copper in the ore, intermediate products, concentrate and waste)
as well as the production of molybdenum (feed, concentrate and waste). As a
result of the sampling and depending on the characteristic to be determined
and the test method, the concentration of the identifiable element is
measured differently and with different technical means. The statistical
analysis of data of parallel measurements from two or three laboratories
involves calculating a linear or rank correlation and analyzing how
significant the influence of a laboratory factor is, as well as studying and
modeling the relationship between the presence of chemical elements in the
ore, waste and concentrate in the process of laboratory control. [13]. A. Alexandrov, V.
Monov, R. Andreev, J. Doshev, QoS based method for
energy optimization in ZigBee Wireless
Sensor Networks. XXII International Conference on Distributed
Computer and Communication Networks: Control, Computation, Communications (DCCN'2019 ), Sept. 23, 2019 - Sept. 27, 2019, Moscow,
Russia, In: Vishnevskiy V., Samouylov
K., Kozyrev D. (eds) Distributed Computer and
Communication Networks. DCCN 2019. Communications in Computer and Information
Science, vol 1141. Springer, Cham, Print ISBN
978-3-030-36624-7, Online ISBN 978-3-030-36625-4, DOI
https://doi.org/10.1007/978-3-030-36625-4_4, Series Print ISSN 1865-0929,
Series Online ISSN 1865-0937, 2019, pp. 41-52, (SJR2018 (SCOPUS) – 0,17, Q3) https://link.springer.com/chapter/10.1007/978-3-030-36625-4_4 Abstract. ZigBee based
Wireless Sensor Networks (WSNs) are a reliable and adaptive solution for
environment level monitoring. In this paper, we use QoS
technique for energy optimization of the existing ZigBee communication
protocol. The proposed new method and algorithm uses a combination of the
embedded in the ZigBee wireless nodes Link Quality Indicator (LQI) and
Received Signal Strength Indicator (RSSI) as critical parameters. The
proposed algorithm is specifically tailored to be a stateless, localized
algorithm with minimal control overhead. A real wireless node transmission
experiments and analysis are provided to validate our claims. |