June 2018, Volume 18, Number 2
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Borislav DIMITROV - Andrew CRUDEN - Suleiman SHARKH DETERMINING PCB TRACE CAPABILITY AND FUSING, USED IN SWITCH MODE POWER SUPPLIES, BASED ON MODELING AND SIMULATION WITH THE FINITE ELEMENT METHOD [full paper]
PCB fuses are used widely in small power and small size electronic devices such as switch mode power supplies, chargers etc.
They offer small size and low cost but their dependency of the track’s geometry make them imprecise. The aim of this research is to
show an approach for improving the design procedure, leading to improved parameters and operation of the fuse. The suggested
design is based on modeling with finite element method and numerical simulation. Experimental results validating this work are
presented.
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Martin PEČOVSKÝ - Pavol GALAJDA - Stanislav SLOVÁK - Miroslav SOKOL - Martin KMEC M-SEQUENCE GROUND-PENETRATING RADAR WITH NOVEL FRONT-END CONCEPT [full paper]
This article deals with the ultra-wideband (UWB) front-end circuits for the ground penetrating radars (GPRs). New concepts for
the GPR front-end circuits are proposed, which exploit electrically short active antennas to achieve minimal dimensions and the wide
frequency band of the radar system as well as offer enhanced user experience in comparison to the currently used conventional GPR
systems. This work suggests using the M-sequence radar as the core for the proposed GPR and sums up the specific issues, which have
to be taken into account when designing the device transmitting radio waves through the inhomogeneous high-attenuation environment,
typical for the GPR. Additionally, an overview of commercially available GPR antennas in the frequency band below 300 MHz is
introduced for the comparison with the proposed solution. The theoretical working principles are discussed and confirmed by the
measurements to pave the way for the future research.
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Mahamkali RANJIT - Teegala BRAHMANANDA REDDY - Munagala SURYA KALAVATHI PERFORMANCE OF FIELD ORIENTED CONTROLLED OPEN-END WINDING INDUCTION MOTOR DRIVE USING NEAREST SUB-HEXAGONAL CENTER PWM TECHNIQUES [full paper]
In this article, performance of field oriented controlled open-end winding induction motor drive (FOCOEWIMD) using nearest
sub-hexagonal centre PWM (NSHCPWM)technique is proposed. In the proposed work, two 2-level inverters are used on either side
of OEWIM drive to obtain the three-level output voltage. To generate the control signals for the two inverters, NSHCPWM technique
is used. In the proposed method reference vector is realized with two components, based on the tip of the reference vector location
nearest sub-hexagonal centre is identified, which is one of the switching vector used to generate the control signals for inverter-I and
the other component is realized using inverter-II by mapping into the inner sub-hexagon. So that one inverter is used as switching
inverter and the other is as clamping inverter. Ripples in torque and stator current are also reduced in the proposed work over
conventional SVPWM techniques. Proposed work is analyzed theoretically and the same can be realized using MATLAB/SIMULINK
and the corresponding results are presented for different modulation index.
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Martin MIKULA - Kristína MACHOVÁ COMBINED APPROACH FOR SENTIMENT ANALYSIS IN SLOVAK USING A DICTIONARY ANNOTATED BY PARTICLE SWARM OPTIMIZATION [full paper]
Sentiment analysis in the minor languages, such as Slovak, using dictionary approach is a difficult task. It requires a lot of human
effort and it is time-consuming to prepare a reliable source of information, especially good dictionary. We propose an approach which
uses a biologically inspired algorithm to find optimal polarity values for sentimental words. It applies a swarm intelligence algorithms,
standard Particle Swarm Optimization (PSO) and Bare-bones Particle Swarm Optimization (BBPSO), to replace a human annotator
at the moment of dictionary creation. We created two dictionaries, which were annotated by the human annotator, PSO and BBPSO.
These dictionaries were compared with the result that the versions annotated by PSO and BBPSO outperformed a human annotator.
Then a combined approach was used to classify reviews that do not contain words from the dictionary. These reviews decrease the
classification performance significantly. The combined approach implements machine learning method to build a model based on the
reviews classified by the dictionary approach. The combined approach finally reduced a number of unclassified reviews from 18% and
40.2% to 0.3% and increased the macro-F1 measure from 0.694 and 0.495 to 0.865 and 0.841.
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Sihem BOURI - Abdelhalim BENMANSOUR OPTIMIZATION WITH DIFFERENT REDUNDANT HYDRAULIC PIPELINES [full paper]
This paper uses an ant system (AS) meta-heuristic optimization method to solve the problem of hydraulic structure optimization
systems. We consider the case where redundant hydraulic pipelines are chosen to achieve a desirable level of reliability. The hydraulic
pipelines of the system are characterized by their cost, capacity and reliability. The reliability is defined as the ability to satisfy the
water consumer demand which is represented as a piecewise cumulative load curve. The proposed meta-heuristic seeks for the optimal
configuration of series-parallel systems in which a multiple choice of hydraulic pipelines are allowed from a list of product available
in the hydraulic market. Our approach has the advantage to allow hydraulic pipelines elements with different parameters to be
allocated in hydraulic systems. To allow fast reliability estimation, a universal generating function method is applied.
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František SILVÁŠI - Martin TOMÁŠEK LEAN FORMALIZATION OF INSERTION SORT STABILITY AND CORRECTNESS [full paper]
We present a fully mechanized proof of correctness and stability of the insertion sort algorithm, while handling stability not as an
afterthought in its formal specification, but rather as a property removing any unspecified behaviour from the algorithm, by explaining
what happens to elements that are considered equivalent. We therefore express the combined notion of being sorted along with stability
as a single inductive predicate, allowing us to share uncovered information in proofs, resulting in a more elegant approach to showing
correctness and stability of sorting algorithms. Naturally, there are also cases when we can indeed forget about stability. We prove, that
under the assumption that the sequence to be sorted contains unique elements only, sorting and stable sorting are equivalent notions.
Formalization is conducted in the Lean theorem prover.
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Pooja RANI - Silki BAGHLA - Dr. Himanshu MONGA UNIVERSAL FILTER MULTICARRIER MODULATION SYSTEM WITH VARIED PARAMETERS & IMPACT ON PAPR [full paper]
One of the main objectives of multicarrier modulation is to provide multiple accesses for wireless communication systems with
higher data rates while having minimum out of band radiation, high spectral efficiency and less complexity. Orthogonal frequency
division multiplexing (OFDM), Universal filter multicarrier (UFMC), Filter bank multicarrier (FBMC) and Generalized frequency
division multiplexing (GFDM) modulation techniques have been developed to support fourth generation and beyond 4G wireless
systems. Demand of high data rate in fourth generation wireless communication systems has been fulfilled by OFDM techniques but
it suffers from the limitation of less spectral efficiency and high PAPR (Peak to average power ratio). Thus to support next
generation wireless systems other waveform models are getting attention. Among the techniques available, UFMC seems to be
attractive due to high spectral efficiency and less complexity. It has not explored much so in this paper, performance of UFMC have
been evaluated with different design factors such as number of sub bands, FFT (Fast Fourier Transform) size, filter characteristics
and modulation under the light of PAPR.
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Ladislav NYULÁSZI - Peter BUTKA - Vladimír GAŠPAR DESIGN OF AN APPLICATION FOR AN EXPERIMENTAL IDENTIFICATION OF A SYSTEM IN MATLAB/SIMULINK ENVIRONMENT [full paper]
This paper focuses on creating an application in the MATLAB/Simulink environment for experimental identification of a system.
It theoretically characterizes the experimental identification of a system and the choice and classification of identification methods. It
also describes chosen methods of experimental identification (deterministic methods, neural networks) in details. A proposal of an
application consisting of a user interface and a generated model scheme are also mentioned. The testing results on data from a small
turbojet engine MPM-20 are shown. Based on the comparison of real measured values and output values of the model the
application evaluates the accuracy of each of the identification methods. The main contribution of the proposed application is an
automatization and simplification of the experimental identification process in MATLAB.
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Habib BENBOUHENNI FIVE-LEVEL DTC WITH 12 SECTORS OF INDUCTION MOTOR DRIVE USING NEURAL NETWORKS CONTROLLER FOR LOW TORQUE RIPPLE [full paper] This paper presents an improved five-level DTC with 12 sectors of induction motor based on artificial neural networks
controller. This neural controller was used to replace on the conventional comparator hysteresis of torque in order to reduce torque
ripple, flux and stator current. The validity of the proposed control scheme is verified by simulation tests of an induction motor drive
system. The stator current and stator flux, torque is determined and compared to the above techniques using Matlab/Simulink
environment.
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