Abstract: In this paper we are to find the optimum
multiwavelet for compression of electrocardiogram (ECG)
signals. At present, it is not well known which multiwavelet is
the best choice for optimum compression of ECG. In this
work, we examine different multiwavelets on 24 sets of ECG
data with entirely different characteristics, selected from MITBIH
database. For assessing the functionality of the different
multiwavelets in compressing ECG signals, in addition to
known factors such as Compression Ratio (CR), Percent Root
Difference (PRD), Distortion (D), Root Mean Square Error
(RMSE) in compression literature, we also employed the
Cross Correlation (CC) criterion for studying the
morphological relations between the reconstructed and the
original ECG signal and Signal to reconstruction Noise Ratio
(SNR). The simulation results show that the cardbal2 by the
means of identity (Id) prefiltering method to be the best
effective transformation.
Abstract: The electroencephalograph (EEG) signal is one of the most widely signal used in the bioinformatics field due to its rich information about human tasks. In this work EEG waves classification is achieved using the Discrete Wavelet Transform DWT with Fast Fourier Transform (FFT) by adopting the normalized EEG data. The DWT is used as a classifier of the EEG wave's frequencies, while FFT is implemented to visualize the EEG waves in multi-resolution of DWT. Several real EEG data sets (real EEG data for both normal and abnormal persons) have been tested and the results improve the validity of the proposed technique.
Abstract: Cooperative visual modeling is more and more
necessary in our complicated world. A collaborative environment
which supports interactive operation and communication is required
to increase work efficiency. We present a collaborative visual
modeling framework which collaborative platform could be built on.
On this platform, cooperation and communication is available for
designers from different regions. This framework, which is different
from other collaborative frameworks, contains a uniform message
format, a message handling mechanism and other functions such as
message pretreatment and Role-Communication-Token Access
Control (RCTAC). We also show our implementation of this
framework called Orchestra Designer, which support BPLE
workflow modeling cooperatively online.
Abstract: In this paper we present a full performance analysis of an energy conserving routing protocol in mobile ad hoc network, named ER-AODV (Energy Reverse Ad-hoc On-demand Distance Vector routing). ER-AODV is a reactive routing protocol based on a policy which combines two mechanisms used in the basic AODV protocol. AODV and most of the on demand ad hoc routing protocols use single route reply along reverse path. Rapid change of topology causes that the route reply could not arrive to the source node, i.e. after a source node sends several route request messages, the node obtains a reply message, and this increases in power consumption. To avoid these problems, we propose a mechanism which tries multiple route replies. The second mechanism proposes a new adaptive approach which seeks to incorporate the metric "residual energy " in the process route selection, Indeed the residual energy of mobile nodes were considered when making routing decisions. The results of simulation show that protocol ER-AODV answers a better energy conservation.
Abstract: Displacement measurement was conducted on compact normal and shear specimens made of acrylic homogeneous material subjected to mixed-mode loading by digital image correlation. The intelligent hybrid method proposed by Nishioka et al. was applied to the stress-strain analysis near the crack tip. The accuracy of stress-intensity factor at the free surface was discussed from the viewpoint of both the experiment and 3-D finite element analysis. The surface images before and after deformation were taken by a CMOS camera, and we developed the system which enabled the real time stress analysis based on digital image correlation and inverse problem analysis. The great portion of processing time of this system was spent on displacement analysis. Then, we tried improvement in speed of this portion. In the case of cracked body, it is also possible to evaluate fracture mechanics parameters such as the J integral, the strain energy release rate, and the stress-intensity factor of mixed-mode. The 9-points elliptic paraboloid approximation could not analyze the displacement of submicron order with high accuracy. The analysis accuracy of displacement was improved considerably by introducing the Newton-Raphson method in consideration of deformation of a subset. The stress-intensity factor was evaluated with high accuracy of less than 1% of the error.
Abstract: This paper proposes a new version of the Particle
Swarm Optimization (PSO) namely, Modified PSO (MPSO) for
model order formulation of Single Input Single Output (SISO) linear
time invariant continuous systems. In the General PSO, the
movement of a particle is governed by three behaviors namely
inertia, cognitive and social. The cognitive behavior helps the
particle to remember its previous visited best position. In Modified
PSO technique split the cognitive behavior into two sections like
previous visited best position and also previous visited worst
position. This modification helps the particle to search the target very
effectively. MPSO approach is proposed to formulate the higher
order model. The method based on the minimization of error
between the transient responses of original higher order model and
the reduced order model pertaining to the unit step input. The results
obtained are compared with the earlier techniques utilized, to validate
its ease of computation. The proposed method is illustrated through
numerical example from literature.
Abstract: This paper presents the influence of distributed generation (DG) on congestion and locational marginal price (LMP) in an optimal power flow (OPF) based wholesale electricity market. The problem of optimal placement to manage congestion and reduce LMP is formulated for the objective of social welfare maximization. From competitive electricity market standpoint, DGs have great value when they reduce load in particular locations and at particular times when feeders are heavily loaded. The paper lies on the groundwork that solution to optimal mix of generation and transmission resources can be achieved by addressing congestion and corresponding LMP. Obtained as lagrangian multiplier associated with active power flow equation for each node, LMP gives the short run marginal cost (SRMC) of electricity. Specific grid locations are examined to study the influence of DG penetration on congestion and corresponding shadow prices. The influence of DG on congestion and locational marginal prices has been demonstrated in a modified IEEE 14 bus test system.
Abstract: In recent years, global warming has become a
worldwide problem. The reduction of carbon dioxide emissions is a
top priority for many companies in the manufacturing industry. In the
automobile industry as well, the reduction of carbon dioxide emissions
is one of the most important issues. Technology to reduce the weight
of automotive parts improves the fuel economy of automobiles, and is
an important technology for reducing carbon dioxide. Also, even if
this weight reduction technology is applied to electric automobiles
rather than gasoline automobiles, reducing energy consumption
remains an important issue. Plastic processing of hollow pipes is one
important technology for realizing the weight reduction of automotive
parts. Ohashi et al. [1],[2] present an example of research on pipe
formation in which a process was carried out to enlarge a pipe
diameter using a lost core, achieving the suppression of wall thickness
reduction and greater pipe expansion than hydroforming.
In this study, we investigated a method to increase the wall
thickness of a pipe through pipe compression using planetary rolls.
The establishment of a technology whereby the wall thickness of a
pipe can be controlled without buckling the pipe is an important
technology for the weight reduction of products. Using the finite
element analysis method, we predicted that it would be possible to
increase the compression of an aluminum pipe with a 3mm wall
thickness by approximately 20%, and wall thickness by approximately
20% by pressing the hollow pipe with planetary rolls.
Abstract: Education in the modern world provides the socioeconomic
progress of society. In today's society, where the presence
of large middle class ensures its stability and is a symbol of
resolution of hidden economic problems, education is an integral part
of formation and reproduction of the middle class. This article presents part of results of the sociological study conducted under the
project "Kazakhstan model of education: international experience and national traditions" supported by the Foundation of the First President
of Republic of Kazakhstan - Leader of the Nation to determine the
ratio of students to the transformations of the educational system. The
authors conclude that the Kazakhstani system of education, passing
through the transformation processes, improving the quality of
educational programs and trying to correspond to the international
standards, not yet in full range, but begins to perform important
functions in the formation of the middle class.
Abstract: A direct connection between ElectroEncephaloGram
(EEG) and the genetic information of individuals has been
investigated by neurophysiologists and psychiatrists since 1960-s;
and it opens a new research area in the science. This paper focuses on
the person identification based on feature extracted from the EEG
which can show a direct connection between EEG and the genetic
information of subjects. In this work the full EO EEG signal of
healthy individuals are estimated by an autoregressive (AR) model
and the AR parameters are extracted as features. Here for feature
vector constitution, two methods have been proposed; in the first
method the extracted parameters of each channel are used as a
feature vector in the classification step which employs a competitive
neural network and in the second method a combination of different
channel parameters are used as a feature vector. Correct classification
scores at the range of 80% to 100% reveal the potential of our
approach for person classification/identification and are in agreement
to the previous researches showing evidence that the EEG signal
carries genetic information. The novelty of this work is in the
combination of AR parameters and the network type (competitive
network) that we have used. A comparison between the first and the
second approach imply preference of the second one.
Abstract: The electronically available Urdu data is in image form
which is very difficult to process. Printed Urdu data is the root cause
of problem. So for the rapid progress of Urdu language we need an
OCR systems, which can help us to make Urdu data available for the
common person. Research has been carried out for years to automata
Arabic and Urdu script. But the biggest hurdle in the development of
Urdu OCR is the challenge to recognize Nastalique Script which is
taken as standard for writing Urdu language. Nastalique script is
written diagonally with no fixed baseline which makes the script
somewhat complex. Overlap is present not only in characters but in
the ligatures as well. This paper proposes a method which allows
successful recognition of Nastalique Script.
Abstract: Topological changes in mobile ad hoc networks
frequently render routing paths unusable. Such recurrent path failures
have detrimental effects on quality of service. A suitable technique
for eliminating this problem is to use multiple backup paths between
the source and the destination in the network. This paper proposes an
effective and efficient protocol for backup and disjoint path set in ad
hoc wireless network. This protocol converges to a highly reliable
path set very fast with no message exchange overhead. The paths
selection according to this algorithm is beneficial for mobile ad hoc
networks, since it produce a set of backup paths with more high
reliability. Simulation experiments are conducted to evaluate the
performance of our algorithm in terms of route numbers in the path
set and its reliability. In order to acquire link reliability estimates, we
use link expiration time (LET) between two nodes.
Abstract: The Implementation of the Union law faces major
challenges today. If for a long period of time, the Community and the
Union have persevered in their legislative vocation, now one can
notice that this large legislative quantity has complicated the task of
knowledge and of application the European standards. Under these
circumstances, it became necessary, in order to give effectiveness to
the European legislation, the development of some operational
application criteria and the generation of some new implementation
tools. The correct application of the European Union legislation by
the national public administrations was considered by the European
Commission as being crucial for further integration and proper
functioning of the internal market. Among the initiatives launched in
the past years to promote the exchange of good administrative
practices in the correct application of European Union legislation,
SOLVIT net has proved to be one of the most effective.
Abstract: A suitable e-learning system management needs to
carry out a web-information system in order to allow integrated
fruition of data and metadata concerning the activities typical of elearning
environment. The definition of a “web information system"
for e-learning takes advantage of the potentialities of Web
technologies both as for the access to metadata present on the several
platforms, and as for the implementation of courseware which make
up the relative didactic environment. What information systems have
in common is the technological environment on which they are
generally implemented and the use of metadata in order to structure
information at all cognitive and organization levels. In this work we
are going to define a methodology for the implementation of a
specific web information system for an e-learning environment.
Abstract: Global approximation using metamodel for complex
mathematical function or computer model over a large variable
domain is often needed in sensibility analysis, computer simulation,
optimal control, and global design optimization of complex, multiphysics
systems. To overcome the limitations of the existing
response surface (RS), surrogate or metamodel modeling methods for
complex models over large variable domain, a new adaptive and
regressive RS modeling method using quadratic functions and local
area model improvement schemes is introduced. The method applies
an iterative and Latin hypercube sampling based RS update process,
divides the entire domain of design variables into multiple cells,
identifies rougher cells with large modeling error, and further divides
these cells along the roughest dimension direction. A small number
of additional sampling points from the original, expensive model are
added over the small and isolated rough cells to improve the RS
model locally until the model accuracy criteria are satisfied. The
method then combines local RS cells to regenerate the global RS
model with satisfactory accuracy. An effective RS cells sorting
algorithm is also introduced to improve the efficiency of model
evaluation. Benchmark tests are presented and use of the new
metamodeling method to replace complex hybrid electrical vehicle
powertrain performance model in vehicle design optimization and
optimal control are discussed.
Abstract: Toxoplasma gondii is an intracellular parasite capable
of infecting all nucleated cells in a diverse array of species.
Toxoplasma plaque assay have been described using Bacto Agar.
Because of its experimental advantages carboxymethyl cellulose
overlay, medium viscosity was choosing and the aim of this work
was to develop alternative method for formation of T. gondii plaques.
Tachyzoites were inoculated onto monolayers of Vero cells and
cultured at 37° C under 5 % CO2. The cultures were followed up by
microscopy inspection. Small plaques were visible by naphtol blue
stain 4 days after infection. Larger plaques could be observed by day
10 of culture. The carboxymethyl cellulose is a cheap reagent and the
methodology is easier, faster than assays under agar overlay. This is
the first description of the carboxymethyl cellulose overlay use for
obtaining the formation of T. gondii plaques and may be useful in
consequent obtaining tachyzoites for detailed studies.
Abstract: This paper proves that the problem of finding connected
vertex cover in a 2-connected planar graph ( CVC-2 ) with maximum degree 4 is NP-complete. The motivation for proving this result is to
give a shorter and simpler proof of NP-Completeness of TRA-MLC (the Top Right Access point Minimum-Length Corridor) problem [1], by finding the reduction from CVC-2. TRA-MLC has many applications in laying optical fibre cables for data communication and electrical wiring in floor plans.The problem of finding connected vertex cover in any planar graph ( CVC ) with maximum degree 4 is NP-complete [2]. We first show that CVC-2 belongs to NP and then we find a polynomial reduction from CVC to CVC-2. Let a graph G0 and an integer K form an instance of CVC, where G0 is a planar graph and K is an upper bound on the size of the connected vertex cover in G0. We construct a 2-connected planar graph, say G, by identifying the blocks and cut vertices of G0, and then finding the planar representation of all the blocks of G0, leading to a plane graph G1. We replace the cut vertices with cycles in such a way that the resultant graph G is a 2-connected planar graph with maximum
degree 4. We consider L = K -2t+3 t i=1 di where t is the number of cut vertices in G1 and di is the number of blocks for which ith cut vertex is common. We prove that G will have a connected vertex
cover with size less than or equal to L if and only if G0 has a connected vertex cover of size less than or equal to K.
Abstract: Semnan is a city in semnan province, northern Iran
with a population estimated at 119,778 inhabitants. It is the
provincial capital of semnan province. Iran is a developing country
and construction is a basic factor of developing too. Hence, Semnan
city needs to a special programming for construction of buildings,
structures and infrastructures. Semnan municipality tries to begin this
program. In addition to, city has some historical monuments which
can be interesting for tourists. Hence, Semnan inhabitants can benefit
from tourist industry. Optimization of Energy in construction
industry is another activity of this municipality and the inhabitants
who execute these regulations receive some discounts. Many parts of
Iran such as semnan are located in highly seismic zones and
structures must be constructed safe e.g., according to recent seismic
codes. In this paper opportunities of IT in construction industry of
Iran are investigated in three categories. Pre-construction phase,
construction phase and earthquake disaster mitigation are studied.
Studies show that information technology can be used in these items
for reducing the losses and increasing the benefits. Both government
and private sectors must contribute to this strategic project for
obtaining the best result.
Abstract: This paper proposes a new technique to detect code
clones from the lexical and syntactic point of view, which is based
on PALEX source code representation. The PALEX code contains
the recorded parsing actions and also lexical formatting information
including white spaces and comments. We can record a list of parsing
actions (shift, reduce, and reading a token) during a compiling process
after a compiler finishes analyzing the source code. The proposed
technique has advantages for syntax sensitive approach and language
independency.
Abstract: In the present work, Pulsed Electro Acoustic (PEA)
technique was adopted to understand the space charge dynamics in
elastomeric material. It is observed that the polarity of the applied
DC voltage voltage and its magnitude alters the space charge
dynamics in insulation structure. It is also noticed that any addition
of compound to the base material/processing technique have
characteristic variation in the space charge injection process. It could
be concluded based on the present work that the plasticizer could
inject heterocharges into the insulation medium. Also it is realized
that space charge magnitude is less with the addition of plasticizer. In
the PEA studies, it is observed that local electric field in the
insulating material can be much more than applied electric field due
to space charge formation. One of the important conclusions arrived
at based on PEA technique is that one could understand the safe
operating electric field of an insulation material and the charge trap
sites.