Image Processing in Transform Domain: A Survey
Author: Andrei Buchman - Technical University of Cluj-Napoca/ Basis of Electronics Department, Attila Buchman - North University of Baia Mare/ Electronics and Computer Engineering Department, Sebastian Sabou - North University of Baia Mare/ Electronics and Computer Engineering Department.
Abstract: In order to save storage space and to improve
transfer speed, images are compressed. Before processing,
compressed images are fully decompressed. Recent
researches show that processing in transform domain is not
only possible but produces slightly better results than the
same processing technique applied to the fully
decompressed image. These considerations apply to loosy
compression algorithms such as JPEG.
Design of an intelligent monitoring system for
protected natural areas based on acoustic
sensors - SOUNDNET
Author: S. CADAR, Institutul de Cercetari pentru Instrumentatie Analitica Cluj-Napoca,
Donath 67, Cluj-Napoca, Romania, E-mail: sergiu.cadar@icia.ro; C. RUSU, Universitatea Tehnica Cluj-Napoca, Facultatea de Electronica, Telecomunicatii si Tehnologia Informatiei
Baritiu, Cluj-Napoca, Romania, E-mail:Corneliu.Rusu@bel.utcluj.ro; O. POP, Universitatea Tehnica Cluj-Napoca, Facultatea de Electronica, Telecomunicatii si Tehnologia Informatiei
Baritiu, Cluj-Napoca, Romania, E-mail: olimpiupop@yahoo.com
Abstract: The purpose of this paper is to present the
concept of an intelligent system based on a network of
acoustic sensors in order to monitor the protected natural
areas. The monitored element is represented by the human
activities prohibited for these areas, such as: deforestation,
access of vehicles, animal drawn carts or recreational
machinery, especially following the human presence in those
areas. Sound recording and marking of prohibited activities
for protected areas represent a goal that requires a
multidisciplinary and high complexity approach, from the
point of interest expressed by those who ensure areas
protection. For the system design one takes into
consideration the fact that the introduction of a foreign
system in a protected natural environment must bring its
minimal influence on the natural area. The system should
adapt to the environmental characteristics, while preserving
its structure, composition and functions. The concept of the
sensor network is based on two essential needs: high
autonomy in terms of energy and also reduced cost per
network element. Within the network, the communication is
made using wireless communication systems, which
increases the reliability of the system and reduces the costs
of implementation. Data recording is made within a
collection unit that can issue alarm codes for each type of
action reported in protected areas.
A method of uneven image compression for
increasing the accuracy of relevant areas
Author: Ovidiu COSMA, North University / Department of Mathematics and Computer Science, Baia Mare, Roumania.
Abstract: This paper presents a method for coding the
images subbands in conjunction with the relevance of the
different regions. The method provides more accurate
reproduction of important regions, to the detriment of the
others.
Distributed Constraint Optimization in Microgrid
Operations
Author: Cristinel Costea,
Electronic and Computer Enginering Department,
North University of Baia Mare, Email: ccostea@ubm.ro.
Abstract: This paper presents a distributed control scheme
for microgrids operation, modeled as multi-agent system and
distributed constraint optimization problem. The case study and
algorithm present how the local decisions and the communications
ability of the agents may provide solutions in the optimal
and effective control of the microgrids.
An Approach on Vowel Recognition
Author: Simina Emerich,
Technical University of Cluj-Napoca, Communication Department, Cluj-Napoca, Romania.
Abstract: In this paper we investigate the effectiveness of
using glottal features for vowel classification. The flow
waveforms obtained from speech signals by inverse filtering
were parametrized. For each analyzed signal a fixed
dimension feature vector is obtained. The models were
trained and tested with Naive Bayes and k-Nearest Neighbor
Top
Implementation of a Digital Controller for a Buck
Converter
Author: Radu Etz, Stefan R. Daraban, Ionut Ciocan and Dorin M. Petreus, Applied Electronics Department, Faculty of Electronics, Telecommunications
and Information Technology, Technical University of Cluj-Napoca, Romania
radu.etz@ael.utcluj.ro
Abstract: This paper presents an approach of digital control
with average current mode control. The model takes into
account the non idealities of the components, the discrete time
modeling of the Z transform, sampling, delays in the control
loop and the quantization of coefficients for the control loop.
First the analog compensation is made and then based on the
poles and zeros ,the bilinear function in Matlab is used to find
the coefficients. The model is simulated in PSIM with step load
current.
Modified Bode Functions
Author: L. Grama and C. Rusu,
Technical University of Cluj-Napoca/Basis of Electronics Department - Signal Processing Group, Cluj-Napoca,
Romania.
Abstract: The Bode circuits have been used for many years
as basic elements in electronic and communication
equipments. Their transfer function may be considered as
standard testing functions in various simulation
frameworks. However, they may not have always the
desired properties. Such an example is the Newton, Gould
and Kaiser approach to approximate the phase. In this
paper we modify the Bode circuit in order to improve its
behavior with respect to the above mentioned approach.
Predictive Sensorless D.C. Motor Control
Author: György Györök, József Lakner, Margit Makó, Obuda University Alba Regia University, H-8000 Szekesfehervar Hungary.
Abstract: Most of the electric motor control can be solved
without traditional feedback, without speed sensors. The proposed
solution is used advantageously in an area where cable
network has already built up and there is no way to expand it, or
it is uneconomic. The presented procedure, writ the D.C. motorcontrol
the use of supply voltage added commutations noise. Since
the commutation noise amplitude, frequency, signal shape, duty
cycle will also vary depend on the speed of the axis and power
(torque) of motor, it must be differential signal conditioning to
use, for extraction of speed information. The use of tuneable
filter the speed-signal has significantly jitter and time-domain
noise. The exact speed of the communication noise can only
be determined if the expected value or at least the range are
known. The motor speed voltage characteristics is known, so that
control is a function of the expected value can be determined.
The microcontroller controls the motor speed by PWM, further
determines the expected value by prediction algorithm. For the
prediction is needed the set of the exact DC motor model.
Top
Six Legged Autonomous Robots for Military and
for Civil Use
Author: G. Husi, J. Tóth and Gy. Darai, Faculty of Electronics, University of Debrecen, Faculty Engineering, Electrical Engineering and Mechatronics Department, Debrecen, Hungary.
Abstract: The army and the industry use many types of
robots; from witch a large part is pre-programmed.
However, nowadays a huge number of autonomous robots
are constructed for military purposes; witch may also be
used for civil purposes. In the development of military
robots it�s significant, that military robots controlled by the
soldiers which are eligible to smite, and military tools for
civil application are very limited, while the fight support
and logistical tasks robots almost without any modification
can be used for civil purposes. In this paper is presented the
possible use of six-legged autonomous robots in military and
in civil area.
Miniaturization of Wireless Sensor Network Nodes
Author: Liqiang Zhengy, Alan Mathewson, Brendan O'Flynn, Michael Hayes and Cian O'Mathuna, Tyndall National Institute, University College Cork, Cork, Ireland
Email: yliqiang.zheng@tyndall.ie.
Abstract: Wireless sensor network (WSN) node, typically
equipped with a radio transceiver, a small microcontroller
and a battery, is different from traditional embedded systems
because of its requirement of random deployment, small size
and low power consumption. Based on these reasons, miniaturization
of the WSN nodes becomes increasingly crucial
in embedded system design for numerous applications, such
as bio-medical monitoring and body network. In this paper,
several technologies of different packaging levels to achieve
miniaturization and integration are presented, including flip
chip packaging of transceiver and micro-controller bare dies,
embedded capacitance and epoxy based three dimensional integration
technologies. Comparison of the proposed technologies
with the original traditional PCB WSN mote is provided. The
current experiments and measurements are also presented to
show the benefits brought by these technologies not only in
shrinking of the mote size, but also some improvements in
electrical performance such as reduction of parasitic passives. It
is possible to utilizing several different miniaturization technologies
for future miniaturized WSN nodes design. Comparison of
these technologies in WSN application is provided as conclusion
of this paper .
Automatic Iris Location Using Hough Transform
Author: Adrian Lodin, Marius Vasile Ghiurcau and Alexandru Lodin,
Technical University of Cluj-Napoca, Basis of Electronics Department,
Str.Baritiu 26-28, 400027 Cluj-Napoca, Romania
adrian.lodin@bel.utcluj.ro
Abstract: This study focuses on the location of the iris using
the Circular Hough Transform. We propose an improved
iris boundaries location method on two main steps. First,
possible candidates are obtained by applying edge detection.
In order to remove unwanted candidates, first, image resize
using bicubic interpolation is performed, then edge
detection and mathematical morphology. To detect the
presence of the circular shapes corresponding to the inner
and outer iris boundaries, Circular Hough Transform is
applied. The results of the experiments performed on an iris
image database proved that the proposed method have
encouraging performance. The method is robust, provides a
reduced computational time, and the location is automatic.
Top
Deconvolutional OCDMA for Indoor Wireless
Optical Communications
Author: Radu Lucaciu, Adrian Mihaescu, University POLITEHNICA of Timisoara, Faculty of Electronics and Telecommunications, Timisoara, Romania
Abstract: In this paper we present the possibility of using
deconvolution for the optical code division multiple access
(OCDMA) indoor wireless communication system.
Deconvolution is useful for many practical applications and
we made an analysis of its influence on system performance.
According to obtained results, the performances of the
system are significantly improved.
FPGA Implementation of a Linearization Algorithm for
Sharp GP2D120 Range Sensor
Author: Claudiu Lung, Sebastian Sabou, Ioan Orha, North University of Baia Mare, Romania, Andrei Buchman,Technical University of Cluj-Napoca, Romania.
Abstract: In this paper an algorithm to convert the nonlinear
response of a Sharp infrared range finder into a
linear input output transfer function is presented.
Controllers that only support integer math may be used to
implement this algorithm. In order to test the validity of the
theoretical assumptions, the algorithm was implemented
using VHDL, into a Xilinx Spartan-3E FPGA. The project
was designed using Xilinx ISE8.2.03i CAD tool under
Windows XP OS.
I
Low Complexity Speaker Identification
Approach
Author: E. Lupu, Technical University of Cluj-Napoca, Romania, M. Cioban, Hanna Instruments Cluj-Napoca, Romania.
Abstract: Biometric authentication presents an increasing
interest in the last years. Among the usual biometric
features employed in the authentication systems speech
plays an important role and is well accepted by the users.
Speech as biometric verifier has some important advantages
in use, respectively: the low price for the sensors
(microphone), the easy way (noninvasive) of samples
acquisition, the large amount of available data for training
and testing and the ability to provide real time processing.
Our approach employs only features extracted in the time
domain, so two orders smaller computational requirements
are implied than in the case of usual frequency domain
processing. Due to this quality a low complexity and low cost
implementation may be done using an ATMEL
microcontroller platform. The system is based on the
TESPAR coding method for the feature extraction from
speech signal allowing a real time processing on a medium
power computation platform. The system performances
proves the discrimination capability of the TESPAR method
even when using only the distances for the classification task
and encourages the improvement of the system for low cost
applications. The method employment may be extended to
other applications like biomedical waveform diagnostics
(EEG, ECG) or industrial system monitoring.
Robot Localization Using Neural Networks
Author: Oliviu Matei,
North University, Baia Mare, Romania.
Abstract:The robot Manura has been designed for cleaning
barns and equipped with short-range sensors. The
localization of this operational robot is accomplished by a
new neural network. We describe a new approach for
localization, using a combined method of regression,
classification and prediction. The training is improved by
adding some self-generated exemplars. Knowledge
embedded into the neural network, improves its
performance significantly.
Integrated System for Testing and Characterizing
Semiconductor Materials and Devices
Author: Bogdan Alexandru OFRIM, Dragos Mihai OFRIM, Dragos Ioan SACALEANU University "POLITEHNICA", Faculty of Electronics, Telecommunications and Information Technology,
Bucharest, Romania.
Abstract: This paper presents an integrated system
which is used for testing and characterizing semiconductor
materials and devices. The topics covered in this paper
refer to the system hardware and user interface, as
well as experimental results and industry areas where the
system is best suited for.
Top
Distributed Data Acquisition System Using
a Wireless Intelligent Sensor Network
Author: Dragos Mihai OFRIM, Bogdan Alexandru OFRIM and Dragos Ioan SACALEANU, University "POLITEHNICA", Faculty of Electronics, Telecommunications and Information Technology,
Bucharest, Romania.
Abstract: This article contains a short presentation of an
improved distributed data acquisition system in terms of
efficiency, performance and flexibility, used to remotely
monitor and control different physical parameters. The main
topics cover: the basic concepts of the system, the
implementation characteristics and the standards of
performance. In the end, the advantages and disadvantages of
this system are pointed, along with some future development
guidelines.
Regulation after Speed of the Synchronous Motor
Asynchronized
Author: OPREA Constantin, BARZ Cristian,
North University of Baia Mare,
Department Electrical Engineering, Faculty of Engineering,
Baia Mare, Str. Victor Babes, nr. 62A, ROMANIA,
cristian.barz@ubm.ro, prconstantin@yahoo.com.
Abstract:The actions with asynchronous synchronous
motor must assure every overload, which should not depend
on the electric parameters of motor, in conditions in which
the power of supply sources and mechanical robust allow
this thing. At the same time the system of regulation must
also assure the possibility of command the reactive power in
such way as to maintain at an economical level impose. In
this paper, we consider a synchronous motor with a
symmetrical wind in stator, supplied from the network and
a three-phase symmetrical wind of excitation, powered from
a static converter with thyristor. The structural scheme of
the motor and automate regulator for reactive moment and
power; structures which have at basis the Park relations,
following as on base of these structures to realize the system
model
Analysis and modeling of Transformerless
Photovoltaic Inverter Systems with PSIM and
MATLAB/SIMULINK
Author: Ioan Orha, Sebastian Sabou, Claudiu Lung
, Electronic and Computer Department, Faculty of Engineering, North University of Baia Mare, Romania,
ioan.orha@ubm.ro
Abstract: The main goal of this paper is to analyze and
modeling transformerless PV inverter systems with respect
to the leakage current phenomenon that can damage the solar
panels and pose safety problems. New topologies and control
strategies that will minimize the leakage current and exhibit a
high efficiency will be investigated . The simulation of the
power system is first realized using PSIM. In a second step,
the simulation of the power system is realized using the
MATLAB/Simulink. Both simulation models are tested and
selective simulation results are provided for a comparative
study.
Top
Embedded Learning Accessory Based on Fuzzy
Catastrophe
Author: L. Ormos, College of Nyíregyháza, Faculty of Engineering and Agriculture
Department of Traffic Sciences and Information Technology
Nyíregyháza, POB 166. 4401-Hungary
e-mail: ormosl@nyf.hu.
Abstract: Main task before training or teaching a device
having artificial intelligence is how to make communication
among the environment and AI device. During training or
teaching process, AI has to decide what kind of features of
environment are necessary to sense and use in activities, and
what kind of actuators must be set for tuning environmental
features to reach the required results. During the learning
process AI has to build relationship among environmental
features up. Learning by environment recognition is based
on �intellectual capability� of AI device to set itself up to the
required task.
PERT and Fuzzy PERT Methods on
Project Scheduling under Uncertainty
Author: Adrian Petrovan, Cristinel Costea, North University of Baia Mare/Department of Electronics and Computer Science, Baia Mare, Romania.
Abstract:Program Evaluation and Review Technique
(PERT) is the most widely used network modeling method
used to track the planning activities required to complete
large-scale projects. This technique has the potential to
reduce the time and costs required to complete a project.
Unlike classical PERT, fuzzy sets theory allows both the
uncertain demand and the subjective judgment of the
decision maker. The main objective of this article is the
presentation of theoretical aspects of the two methods of
project network analysis. Uncertainity is a major problem
in Operations Research, and network planning with
uncertain activity durations is typically an area where
stochastic and fuzzy concepts are fundamentals.
On the Generalized Network Design Problems
Author: P.C. Pop,
North University of Baia Mare, Department of Mathematics and Informatics, Baia Mare, Romania.
Abstract: The aim of this paper is to present a survey on
some of the most important generalized network design
problems: the generalized minimum spanning tree problem,
the generalized traveling salesman problem and the
generalized vehicle routing problem.
Top
Autonomous navigation system - map matching
Author: Sebastian Sabou, Ioan Orha, Claudiu Lung, North University of Baia Mare, Romania, Andrei Buchman, Technical University of Cluj-Napoca, Romania.
Abstract: The motivation in this presentation is to develop
a methodology for autonomous indoor personal navigation,
which assures reliable and precise localization and route
guidance to the user. An autonomous navigation method is a
method that does not rely on external information. That
would set the user independent from the availability and
drawbacks of the external positioning systems discussed
further.
Robot Localization Using Neural Networks
Author: Oliviu Matei,
North University, Baia Mare, Romania.
Abstract:The robot Manura has been designed for cleaning
barns and equipped with short-range sensors. The
localization of this operational robot is accomplished by a
new neural network. We describe a new approach for
localization, using a combined method of regression,
classification and prediction. The training is improved by
adding some self-generated exemplars. Knowledge
embedded into the neural network, improves its
performance significantly.
Monitoring and Data Acquisition Embedded
System for Photovoltaic Plants
Author: Dragos Ioan SACALEANU, Dragos Mihai OFRIM and Bogdan Alexandru OFRIM, University "POLITEHNICA",
Faculty of Electronics, Telecommunications and Information Technology,
Bucharest, Romania.
Abstract: Using alternative sources to produce electricity
requires a thorough monitoring of working and ambient
parameters, in order to optimize the operation. It is also
necessary to select the solution with the most profitable
price/quality ratio. This paper presents a device for
monitoring several types of photovoltaic cell panels. This is
accomplished with a dedicated system using a PXI device
and the LabView programming environment. The data
acquisition system is designed based on the measurement
requirements, which can be essentially expressed in terms of
number of samples to be acquired, sampling rate and
measurement uncertainty. In order to measure higher
values of the parameters from the photovoltaic plants than
the measurement equipment can support, signalconditioning
circuits have been introduced in the system.
Their behavior is also presented in this paper. An initial
calibration of the system has been made, therefore some
tests could be performed. The end of the paper is dedicated
to the results obtained by processing the collection of data
from the electrical grid voltage.
Top
Embedded Solutions for Remote Monitoring of
Patients with Cardio-Vascular Diseases
Author: Gheorghe Sebestyen, Lorand Krucz, Universitatea Tehnica din Cluj Napoca,
Gheorghe.Sebestyen@cs.utcluj.ro, lorand.krucz@yahoo.com.
Abstract: This paper describes an embedded system architecture
developed for real-time remote control and data acquisition.
This embedded system is integrated into an interactive online
healthcare environment � a remote patient monitoring and treatment
framework called CardioNET. The main contributions of
the paper are: the modular and versatile design of the medical
devices, using embedded solution and the innovative way in which
these devices communicate through a distributed system, providing
solutions of monitoring and control in a wide set of possible
applications.
Circuit Models Used in Design of the
Asynchronous Digital Systems
Author: M. Timis, Al.Valachi,
Technical University "Gh.Asachi" Iasi, Automatic Control and Computer Science and Engineering Faculty, IASI, Romania.
Abstract:Implementation methods for the digital
asynchronous systems use different predefined circuits
models like self timed circuits, speed independent circuits,
delay insensitive circuits, handshake protocol, C Muler
elements implementation in asynchronous systems. The
authors presents these methods in designing of the
asynchronous digital systems.
Using the predefined circuits models in implementation of
asynchronous digital systems it means avoid errors and
digital hazard situations. The digital asynchronous system
will run correctly, according with the specifications.
Keywords: Asynchronous digital systems, self timed, speed
independent, delay insensitive, handshake, logic gates,
asynchronous digital sequential system, C Muller elements.
Mechatronics Mindstorming with Lego
Mindstorms NXT
Author: J.Tóth, G. Husi and I. Nagy
University of Debrecen, Faculty Engineering, Electrical Engineering and Mechatronics Department, Debrecen, Hungary
Abstract: Students of mechatronic during education will get
to know programming different robots and robotarms. The
robot such a apparatus which use mechanics, electronics
and informatics knowledge, can solve different exercises
alone or programmed examples. The LEGO� kits take less
place, need less protect because of plastic parts and more
cheaper than other use for special example robot. It�s teach
the studets in form of play for building, using and
programming. They can learn easily the controlling,
feedback controlling, programming knowledge with the
multimedia, and they will be able to use later in individual
complicate exercises. The kit contain different sensors,
servomotors and can controll with the central control unit.
The LEGO� Mindstorms� kits can integrate and expand
with Technic family.
Top
Optically Powered Industrial Barometric System
Design
Author: J. Turán, L'. Ovseník, Department of Electronics and Multimedia Communications, Faculty of Electrical Engineering and Informatics,
University of Technology Kosice, Letná, e-mail: jan.turan@tuke.sk; lubos.ovsenik@tuke.sk, J. Vásárhelyi, Department of Automation, University of Miskolc, University Campus, 3515 Miskolc, Hungary,
E-mail: vajo@mazsola.iit.uni-miskolc.hu.
Abstract: Industrial barometric systems, i.e. systems to
monitor air (or other gas) temperature, pressure and
humidity are used in various control and monitoring
systems in mines, chemical plants, petrochemical industry,
etc. The basic properties, key elements and architecture of
the developed optically powered industrial barometric
system are discussed. Finally some experimental results of
system performance are presented.
Object Detection in Video Surveillance systems
Author: L'. Ovseník, A. Kazimírová Kolesárová, J. Turán, Department of Electronics and Multimedia Communications, Faculty of Electrical Engineering and Informatics, University of Technology Kosice, Letná, e-mail: lubos.ovsenik@tuke.sk, anna.kolesarova@tuke.sk, jan.turan@tuke.sk.
Abstract:This paper is concerned with video surveillance
systems. With the growing quantity of security video, it
becomes vital that video surveillance system be able to
support security personnel in monitoring and tracking
activities. In this paper we will describe a design of object
detection in our video surveillance system.
An 8-PSK Transmitter System Analysis Method
Using Baseband Vector Computation
Author: Vasile Zoicas
Texas Instruments France, 06271, Villeneuve Loubet.
Abstract:The presented work and its associated analysis
tools go beyond the traditional transmitter debug
methods for EDGE (Enhanced Data rate for GSM
Evolution) since it allows a direct link between the
transmitter�s performances and its various design
impairments. In addition to the standard ETSI
specifications computations like Error Vector Magnitude
(EVM), Origin Offset Suppression (OOS) and
Modulation Spectrum, this method reveals the
transmitter�s non-idealities like: DC offset, amplitude to
phase delay, close-in phase noise, non-linearity, pulling
etc. For a polar transmitter, which is the main focus of
this study, amplitude and phase paths can be dissociated
in term of individual contribution to transmitter
performances. The baseband analysis algorithm requires
only the measured down-converted IQ vector as input
data. An ideal vector is created by demodulating and remodulating
the binary content recovered from the
measured data. From the time and frequency domain
analysis of these two vectors, the transmitter�s nonidealities
can be assessed and non-compliance root cause
can be identified. This approach can be extended to
various wireless standards like WCDMA, Bluetooth,
ZigBee, etc.
Top