AbstractsBook_GCACSE2016 (3) (1)

ISBN: 978-84-944311-8-0
Edited by: ScienceKNOW Conferences C.B.
July 2016

Global Conference on Applied Computing in Science and Engineering
Rome (Italy), 27-29 July 2016
[1]
Organizing Committee
Chairman
Antonio Macías García PhD.
Department of Mechanical Engineering, Energy and Materials
University of Extremadura, Spain
E-mail: amacgar@unex.es
Co-Chairman
Luís M. Sousa da Silva PhD.
ISEP-School of Engineering
Polytechnic Institute of Porto, Portugal
E-mail: lms@isep.ipp.pt
Co-Chairman
Santiago Salamanca Miño PhD.
Electric, Electronic and Automatic Engineering Department
Robotics, Automatics and Production Systems Group
University of Extremadura, Spain
E-mail: ssalaman@unex.es
Congress Manager
Mónica Martins
ScienceKNOW Conferences
+44 7467 043350
info@computing.skconferences.com
Technical Secretary
Miguel Rasquinho
admin@scienceknowconferences.com

[2]
Scientific Committee
 PhD. Al-Kassir, A. (Extremadura University, Spain)
 PhD. Brito, P. (C3i/IPP, Portugal)
 PhD. Canito Lobo, J. L. (University of Extremadura, Spain)
 PhD. Casquilho, M. (Lisbon University, Portugal)
 PhD. Costa, M. (Lisbon University, Portugal)
 PhD. Costa, C. (Salamanca University, Spain)
 PhD. Cuadros, P. (Extremadura University, Spain)
 PhD. Domínguez, J. R. (Extremadura University, Spain)
 PhD. Encinar, J. M. (Extremadura University, Spain)
 PhD. Fernández, J. (University of Oviedo, Spain)
 PhD. Galán, J. J. (A Coruña University, Spain)
 PhD. González, J.F. (Extremadura University, Spain)
 PhD. Jacob, S. (Oswaldo Cruz Foundation, Brazil)
 PhD. Jesus, M. (Lisbon University, Portugal)
 PhD. Lafta, W. M. (ASME, IEEE, UoIE, IIE, NSECP, AASCIT Member, Australia)
 PhD. López, F. (Extremadura University, Spain)
 PhD. Macías, A. (Extremadura University, Spain)
 PhD. Marcos, F. (Madrid Polytechnic University, Spain)
 PhD. Márquez, M. C. (Salamanca University, Spain)
 PhD. Merchán García, M. P. (Extremadura University, Spain)
 PhD. Montejo, C. (Salamanca University, Spain)
 PhD. Moreira, J. (Oswaldo Cruz Foundation, Brazil)
 PhD. Oliveira, A. (C3i/IPP, Portugal)
 PhD. Rodrigues, L. (C3i/IPP, Portugal)
 PhD. Sá, C. (ISEP/IPP, Portugal)
 PhD. Sabio Rey, E. (Extremadura University, Spain)
 PhD. Salamanca, S. (Extremadura University, Spain)
 PhD. Silva, L. (ISEP/IPP, Portugal)
 PhD. Takabi, B. (Texas A&M University, USA)
 PhD. Vieira Ferreira, L. F. (Lisbon University, Portugal)

[3]
Organization
Technical and logistic assistance from:

[4]
Sponsors and Partners

[5]
Presentation
The Global Conference on Applied Computing in Science and Engineering is organized by
academics and researchers belonging to different scientific areas of the C3i/Polytechnic
Institute of Portalegre (Portugal) and theUniversity of Extremadura (Spain) with the technical
support of ScienceKnow Conferences.
The event has the objective of creating an international forum for academics, researchers and
scientists from worldwide to discuss worldwide results and proposals regarding to the soundest
issues related to Applied Computing in Science and Engineering.
This event will include the participation of renowned keynote speakers, oral presentations,
posters sessions and technical conferences related to the topics dealt with in the Scientific
Program as well as an attractive social and cultural program.
The papers will be published in the Proceedings e-books. The proceedings of the conference
will be sent to possible indexing on Thomson Reuters (selective by Thomson Reuters, not all-
inclusive) and Google Scholar. Those communications considered of having enough quality can
be further considered for publication in International Journals. At the authors' choice, those
works not suitable for publication in any of the congress journals will be published in an
Extended Abstracts book of the Global Conference on Applied Computing in Science and
Engineering, once the Conference has finished.
The Conference will also have a space for companies and/or institutions to present their
products, services, innovations and research results. If you or your company is interested in
participating of this exhibition, please contact the Technical Secretariat here.
Finally, on behalf of the Organizing Committee, I would like to invite all the Scientific Community
to participate in this project, presenting papers or communications related to any of the
proposed topics.

[6]
Index
Fatigue Failure Comparison between HMA, JPCP, and the Composite RCC-HMA
Pavement Structures
Sepehr Ghafari(1)
....................................................................................................................................10
An interactive web-based application for retrieving, monitoring and analysing Twitter
contents based on information retrieval and semantic knowledge
Israel González-Carrasco (1)
, José L. López-Cuadrado (2)
, Ángel García-Crespo(3)
................................11
Octonion Valued Neural Network to forecast the daily solar irradiation
L. Saad Saoud, F. Rahmoune, V. Tourtchine, K. Baddari .....................................................................12
Based-on Ontology and Information Extraction Techniques to improve Nuclear Medicine
Report Accuracy
Jui-Jen Chen (1)
, Hung-Chi Yen (2)
, Chang Yen-Hsiang (3)
, Shu-Hua Huang (4)
.....................................14
On the generalized dynamical fuzzy model for forecasting complex systems
L. Saad Saoud, F. Rahmoune, V. Tourtchine, K. Baddari .....................................................................16
The Use of Multiple Information Sources to Analyze Semantic Features for the Purpose of
Review Summarization
Yu Hung Chiang (1)
, Hei Chia Wang (2)
..................................................................................................18
Modelling Neural Networks as a Computational Tool to Estimate Waiting Time by First
Come-First Served Policy
S. Senan (1)
, R. Samli (2)
..........................................................................................................................19
Determination of conversion factors of UCS from point load test for evaporites and
sedimentary rocks and numerical modelling
M. Altinpinar (1)
, H. Ozturk (2)
, D. Guner(2)
.............................................................................................21
Mental Model Conflict at a Digital Sphygmomanometer Interface in Rural India
P. Mukhopadhyay(1)
, S. Nigam (2)
...........................................................................................................22
Using Interactive Visualization Tools in Cybersecurity Education
H. Yu, T. Terry, A. Abuzaid and A. Show.............................................................................................24
Waste energy calculation of an aircraft engine using computer experiment
Ozlem Sahin (1)
, Charkaz Aghayeva (2)
, Onder Turan (3)
........................................................................26
Energy modeling of an aircraft propulsion system components with the aid of MATLAB
Onder Turan (1)
, Ozlem Sahin (2)
........................................................................27
Computer-based monitoring platform for renewable energy systems: Four experimental
application cases using NI LabVIEW
I. González Pérez (1)
, A.J. Calderón Godoy (1)
, M. Calderón Godoy, J. Figueiredo(2)
.............................28
SCADA software for education in automation and supervision: Initial evaluation of Easy
Java Simulations
........................................................................................30
Necessary and sufficient condition of optimality for stochastic linear switching systems
with delay on control
Ch. Aghayeva (1)
, O. Sahin (2)
, O. Turan(2)
..............................................................................................32

[7]
A Cloud Management System for Existing Servers
B. Kaynak (1)
, S. Kaynak (2)
, O. Tuna......................................................................................................33
A 3D Printer Virtualization Model for Cloud Manufacturing
B. Kaynak (1)
, O. Torkul (2)
, S. Kaynak (3)
...............................................................................................34
A New Framework for Natural Control of Smart Device and Virtual Reality Using Brain
Signal Pattern
F. Abuhashish, K. Tahat, J. Alsadi.........................................................................................................35
FPGA Based Accelerator for Molecular Dynamics
Nicolae Goga(2)
, Mihaela Malița(3)
, David Mihăiță(1)
, Gheorghe M. Ștefan(4)
........................................36
GEOTECHNOLOGICAL SYSTEM FOR TELEMEDICINE IN MARGINALIZED
AREAS OF MEXICO.
I. VELAZQUEZ (1)
, R. SEGURA (2)
.......................................................................................................38
Technological Hybrid Integral System for the sustained development of Inclusive Business
Network, phase 2 of 2. Incorporating Geotechnologies.
R. SEGURA (1)
, I. VELAZQUEZ (2)
.......................................................................................................40
Improved Independent Component Analysis (ICA) by Optimization of Step Size Using
Newton’s Method
M. Ghanbari (1)
.......................................................................................................................................42
A FUZZY DECISION SUPPORT SYSTEM FOR SELECTION OF APPROPRIATE
SERVICE PROVIDER IN IT OUTSOURCING
N. Kalantari (1)
, A. Shayan (2)
, B. Khosravi(3)
..........................................................................................45
An Engineering-Friendly User Interface and Its Structure
Gokhan Kilic (1)
......................................................................................................................................47
BRIDGE HEALTH MONITORING WITH A WIRELESS SENSOR NETWORK
SYSTEM
Gokhan Kilic (1)
......................................................................................................................................49
Using images to detect solar panels in photovoltaic power plants
Iván M. García, Santiago Salamanca, Pilar Merchán.............................................................................51
Curve Expert Software Aided Mathematical Modeling of Experimental Data for Kinetics
Analysis of Benzyl Alcohol Oxidation
M. Saeed (1)
, M. Ilyas(2)
...........................................................................................................................53
Prediction of Metabolic Syndrome using Data Mining
B.J. Lee (1) †
, J.Y. Kim (1)
........................................................................................................................55
Forbidden Transitions (E2, M1 and M2) in Mg-like Gold
G. Günday Konan (1)
, L.Özdemir ...........................................................................................................57
An Applicable Method to Extract Color Features from a Tongue Image for Observing
Sleep Disorder
K.H. Kim, J.H. Kim ...............................................................................................................................59
A domain decomposition Chebyshev spectral Collocation Method for Volterra Integral
Equation
H. Wu (1)
, S. Dong (1)
, L.Xu(1)
.................................................................................................................61

[8]
How to Generate Nondominated Solutions Uniformly in the Posterior Preference
Articulation Approach to Dual Response Surface Optimization
In-Jun Jeong(1)
, Dong-Hee Lee(2)
............................................................................................................62
A Novel Approach for Reservoirs Screening for Polymer Flooding via Combination of
Reservoir Simulation and Experimental Design (DOE)
S. Moradi(1)
, A. Bengar(1)
, Gh. Zargar (1)
, E. Hamed Mahvelati(1)
..........................................................64
Using Electronic Nose in Fermentation Band of Black Tea Production
B. Tozlu (1)
, H.I. Okumuş (2)
....................................................................................................................66
Pressure estimation of circular mine shafts in different rock masses
H. Ozturk................................................................................................................................................68
Co-Citation Analysis of Computer Science Field on Yearly Basis (2000-20015)
H. Özköse (1)
, E. S. Arı (1)
, C. Gencer(2)
..................................................................................................69
Analysis of Computer Science Field by Bibliometric Mapping
H. Özköse (1)
, E. S. Arı (1)
, C. Gencer(2)
..................................................................................................70
Feature-Based Automated Test Case Generation From Textual Requirement
Specifications
L. Terkawi (1)
, L. Tahat (2)
.......................................................................................................................71
Intelligent Dynamic Feedrate Control for Three-Dimensional Contouring in a Stage
System
K.-C. Lin*
, C.-H. Huang, C.-C. Huang, and Y.-C. Chen .......................................................................72
A Broad Analysis of Virtual Reality Applications
E. S. Arı (1)
, A. İ. Kocatepe(1)
, H. Özköse (1)
, ..........................................................................................74
The Latest Phase of Industrial Revolution: Industry 4.0
H. Özköse (1)
, E. S. Arı (1)
, A. İ. Kocatepe(1)
...........................................................................................75
Intelligent Robotic Systems for Automatic Scanning: a Review
A. Adan (1)
, S. Prieto(1)
, B. Quintana(1)
, S. Salamanca(2)
, P. Merchán(2)
..................................................76
Estimating Victim Type in Credit Card Fraud with the Approach of Artificial Neural
Networks
M. Orakcı (1)
, B. Ciylan (2)
.......................................................................................................................78
Impact of inclined fins inside microchannels on the thermohidraulic performance
M. Vilarrubí (1)
, J. Barrau (1)
, M. Ibañez(1)
, J.I. Rosell(1)
, H. Azarkish (2)
, L. Fréchette(2)
, Y. Bétancourt(1)
,
G. Laguna(1)
, D. Chemisana(1)
................................................................................................................79
Parametric study of a bimetal actuator submitted to convection
M. Chabot(1)
, J. Barrau(2)
, Y. Betancourt(2)
, J. Illa(2)
, G. Laguna(2)
, M. Vilarrubí(2)
, J. I. Rosell(2)
, M.
Ibañez(2)
, F. Badia(2)
...............................................................................................................................81
An Infrastructure Model to Detect and Prevent Web Attacks
M. Sevri (1)
, N. Topaloğlu (2)
...................................................................................................................83
Dynamical Behavior Analysis of Fuzzy Cellular Neural Networks : A Review
S. Senan (1)
, N. Salt (2)
.............................................................................................................................84
Machine Learning for autonomous lane keeping
Tad Gonsalves and Sano Kazuya ...........................................................................................................86

[9]
Genetic Algorithm aided learning in Traffic Lights Recognition
Tad Gonsalves (1)
, Stefan Munk (2)
..........................................................................................................88
Application of Different Steganography Algorithms on Various Image Formats
A. İ. Kocatepe (1)
, H. Karacan (2)
.............................................................................................................90
Automated Computational Matching of Video and Audio Content
Daniel S. Soper (1)
...................................................................................................................................92
Influence of soil-structure interaction on dynamic inelastic response of planar steel frames
G. D. Hatzigeorgiou (1)
, G. A. Papagiannopoulos (2)
, N. G. Pnevmatikos (3)
..........................................94
Controlled design of linear non-classically damped systems using amplitudes of frequency
response functions and modal damping ratios
G. A. Papagiannopoulos (1)
, G. D. Hatzigeorgiou (2)
, N. G. Pnevmatikos (3)
..........................................96
A Model of Steganographic Report for Web Application Security
M. A. Koşan(1)
, A. İ. Kocatepe (1)
, H. Karacan(2)
....................................................................................98
Concept for Mapping IT Security Requirements on System Assets and Processes in
Industrie 4.0
Yübo Wang (1)
, Reiner Anderl................................................................................................................99
Application of parametric techniques using Autodesk Inventor. Dynamic simulation in
engineering
1,2
A. Macías-García, 3
David Sánchez Rodríguez; 3
José Luis Canito Lobo;32
Alfonso Carlos Marcos
Romero; 2
V. Encinas-Sánchez .............................................................................................................101
Risks in Different Types of E-service Outsourcing
N. Kalantari (1)
, A. Shayan (2)
................................................................................................................102
Thermal process simulation to design Nearly Zero Energy Buildings (NZEB)
A. Al-Kassir 1*
, D. Carmona 2
, L.A. Horrillo 2
, F. Hipólito 1
...............................................................104
Piracy Protection Navigator I4.0 for Industrial Systems
G. Shaabany (1)
, S. Frisch, K. Pitz, R. Anderl (2)
...................................................................................106
3D bioprinting based on µ-extrusion using RepRap concept
J.C. Gómez-Blanco (1)
, J.B. Pagador (1)
, V. Álvarez (1)
, A. Macias-García (2)
, F.M. Sánchez-Margallo (1)
,
J. Corbacho (3)
.......................................................................................................................................108
Augmented reality as educational tool
1,2
A. Macías-García; 3
David Sánchez Rodríguez; 3
José Luis Canito Lobo; 3
Alfonso Carlos Marcos
Romero; 2
V. Encinas-Sánchez .............................................................................................................110
Robust Speaker Recognition by Training with Estimated Speech Tansmission Channels
F. F. Li .................................................................................................................................................112

[10]
Fatigue Failure Comparison between HMA, JPCP, and the Composite
RCC-HMA Pavement Structures
Sepehr Ghafari(1)
(1)
Project Manager, PhD, Navrood Construction Company, Tehran, Iran. Tel: +98 912
1496991. Email: s_ghafari@navrood.com, sepehr@aut.ac.ir
Abstract: Choosing the optimal pavement structure system has become further intricate nowadays
considering the oil (bitumen) price ambiances in comparison to that of cement. In some countries, agencies
are currently preferring concrete pavements over the historically used Hot Mix Asphalt (HMA)
conventional pavements to reduce highway construction and maintenance costs. In the present research, a
comparison is made between the conventional HMA system, a Jointed Plain Concrete Pavement (JPCP)
system and a composite Roller Compacted Concrete (RCC) pavement overlaid with a thin asphalt layer for
a roadway. Each pavement system is simulated and numerically analyzed by the finite element method
using material parameters obtained from field tests. Engineering values such as the key compressive and
tensile stress values, strains, etc. are calculated and compared. These values also contribute to determining
the remaining number of load repetitions causing failure of the pavement layers. Finally, the three pavement
systems are compared in terms of the pavement service life which is obtained by means of the fatigue failure
analysis of HMA and concrete. As one of the results, the composite RCC-HMA pavement showed a better
mechanical performance and higher resistance against fatigue failure caused by traffic loading.
Keywords: Concrete pavements, jointed plain concrete pavements, finite element method, fatigue failure

[11]
An interactive web-based application for retrieving, monitoring and
analysing Twitter contents based on information retrieval and
semantic knowledge
Israel González-Carrasco (1)
, José L. López-Cuadrado (2)
, Ángel García-Crespo(3)
(1)
Universidad Carlos III de Madrid. Computer Science Department, Avda. Universidad, 30.
28911.Leganes, Spain
Tel: +34 91 624 9117, israel.gonzalez@uc3m.es
(2)(3 )
jllopez@inf.uc3m.es, acrespo@ia.uc3m.es
1. Introduction – Over the last few years social media has exploded across the Internet with
people everywhere creating and sharing enormous quantities of information and media content.
Tools and technologies for managing and analysing the vast amount of data exchanged over the
Web has provided the means for analysis of this content. Big Data analysis can be used to support
the management power of social media sites. Due to the heterogeneous nature of the information
that can be distributed with Social Media, and the large number of potential Social Media platform
users, the analysis of social networks populations and the data produced and consumed by these
users can create a picture of the aggregate structure of a user’s social world. Therefore, the
extraction and visualization of data from social networks for analysis and in support of
management across Big Data on social media, has become vital to solving problems in different
investigative fields [1] [2]. Therefore, in this research, data produced on the Twitter social media
platform, is analysed and managed by a Big Data Extractor within a web application. Moreover,
a conceptual-semantic model has been defined for the modelling of social media information and
contents.
This paper presents an interactive web-based application for retrieving, monitoring and analysing
Social media contents. The goal of this web application is two-fold. Firstly, the content extraction
and modelling of information related with different topics, along with the characteristics and
preferences of users, from tweets of the Twitter social network. Secondly, the analysis and
management of Big Data aggregated on Social Media with visual interaction on the web
application for empowering the data analysis.
2. Experimental and Results – This research presents, as a case study, the result of analysing
over 500,000 tweets (556.205) published in the Twitter Social Network between 15/12/2014 and
15/12/2015. The tweets were related to innovation context in Spain and they are written in Spanish
language. The analysis includes, among other elements, the source that generates the tweet, the
innovation sectors, the provenance of the tweet, the events that are promoting innovation actions,
where to get funds to make an innovation, which are the main innovative companies and the
different sectors preferred by innovative people. Taking into account these topics, an ontology of
Spanish innovation-related terms has been defined for the analysis.
3. Conclusions – In order to achieve the goals of this research, a web application has been
implemented for the extraction of tweets and the big data analysis. Also, the research team has
defined a conceptual-semantic model for the definition of the corpus to be applied in this context.
The case study and the corresponding results will determine the importance of the innovation in
Spain, taking into account their mentions on the Twitter Social Network, and will help to identify
the main stakeholders in innovation related issues and estimate their salience according to
different metrics.
5. References
[1] Young, Sean D. "Behavioral insights on big data: using social media for predicting
biomedical outcomes." Trends in microbiology 22.11 (2014): 601-602.
[2] Wu, Xindong, et al. "Data mining with big data." Knowledge and Data Engineering, IEEE
Transactions on 26.1 (2014): 97-107.

[12]
Octonion Valued Neural Network to forecast the daily solar irradiation
L. Saad Saoud, F. Rahmoune, V. Tourtchine, K. Baddari
Faculty of sciences, University M’hamed Bougara Boumerdes, Algeria.
+213 661 51 56 34 saadsaoudl@univ-boumerdes.dz
1. Introduction – In this paper, the octonion neural network to forecast the daily solar irradiation
is proposed. A method to transform the daily meteorological parameters to octonion numbers
is investigated. This method gives the opportunity to forecast the daily solar irradiation using
one octonion input rather than six inputs, which decrease the input dimension vector. In
addition, it produces eight naturally dimensions to the training algorithm rather than one
dimension in the real valued neural networks. The octonion input contains the combination of
the complex valued meteorological parameters (the air temperature, the relative humidity, the
sunshine duration, the wind speed and speed direction) and time index. Comparison with the
real, complex and quaternion valued neural networks for forecasting the daily solar irradiation
shows that the proposed method is promising to deal with such problem.
2. Results -To see the accuracy of the OVNN-forecaster, one-
day ahead of the solar irradiation, we use a collection of
measured meteorological data of Tamanrasset city, Algeria
during years 2007 through 2009. The first two years are used
to train the OVNN and the last year to validate the network.
The air temperature and relative humidity, and the sunshine
duration are transformed to complex domain using the time
index. The wind speed, in association with the wind direction,
is converted to complex valued domain as well. Besides, we
use the real and the imaginary parts of each obtained complex valued meteorological data to
construct the one octonion valued meteorological data. After training the network of fifteen
neurons in the hidden layer, the best results are shown in Figure 1. To evaluate the performance
of the proposed technique, we use the normalized root mean squared error (nRMSE) and mean
absolute error (MAE) like criteria. Comparison between the proposed technique (OVNN), the
quaternion valued neural network (QVNN), the complex valued neural network (CVNN) and the
real valued neural network (RVNN) is shown in Table I. In which, the space and time complexity
are presented and the statistical evaluation is shown as well. One can see that the space
complexity is improved comparing to the other strategies.
Figure 1. Measured and forecasted daily
solar irradiation for Tamanrasset city

[13]
3. Conclusions - In this work, the forecasting of the daily solar irradiation using the octonion
valued neural network is proposed. The meteorological data was converted to complex valued
parameters, thereby; the construction of an octonion variable is achieved. The use of the OVNN
to forecast the daily solar irradiation has an important advantage, which is the reduction of the
input vector’s dimension comparing to others with less dimension (real, complex and quaternion
valued networks). The obtained results show that the use of OVNN is promising to forecast one-
day ahead solar irradiation with less inputs and parameters.
Tabla I. Evaluation of the OVNN to Forecast the Daily Solar Irradiation
Network
architecture
Space complexity Time complexity nRMSE in % MAE in %
RVNN Six inputs 565 parameters 0.27 (Training)
0.07 (Validation)
21.08 12.02
CVNN Four inputs 181 parameters 0.29 (Training)
0.13 (Validation)
23.57 13.66
QVNN Two inputs 121 parameters 7.49 (Training)
1.43 (Validation)
22.40 12.05
OVNN One input 46 parameters 9.45 (Training)
1.89 (Validation)
1.47 0.06

[14]
Based-on Ontology and Information Extraction Techniques to improve
Nuclear Medicine Report Accuracy
Jui-Jen Chen (1)
, Hung-Chi Yen (2)
, Chang Yen-Hsiang (3)
, Shu-Hua Huang (4)
(1)
NO. 123, Ta Pei Rd., NiaoSong Dist., Kaohsiung City, Taiwan, R.O.C.
88677317123 and china111@ms57.hinet.net
(2)(3)(4)
NO. 124, Ta Pei Rd., NiaoSong Dist., Kaohsiung City, Taiwan, R.O.C.
1. Introduction –Cancer ranks first among the top 10 causes of death in 2014. Positron emission
tomography (PET) is recognized as the best non-invasive imaging technique for detection of
cancer. However, previous research has little discussion on how to utilize information
technology to help physicians of nuclear medicine and anatomic pathology analyze differences
between PET reports and anatomic pathology reports and feedback the analysis results into
clinical operations for better medical quality[1].
2. Experimental - Based on PET/CT scan reports and anatomic pathology reports in Kaohsiung
Chang Gung Memorial Hospital, we develop a report auditing system. This system consists of
Report Extraction Agent, Report Check Agent, Report Difference Alert System, and Report
Search System. This system will first convert unstructured data into structuralized reports
through a data extraction process. Later, using the report difference criteria ontology, this
system compares reports to identify differences for nuclear medicine physicians.
3. Results and Discussion - The proposed system is able to automatically alert nuclear medicine
physicians (using red, yellow, and green lights) when it detects incongruence between PET/CT
scan reports and anatomic pathology reports or a need for human attention. The red light
indicates a significant difference between
reports; the yellow light shows that the system
is unable to compare differences between
reports or manual analysis by physicians is
required; the green light suggests no
difference between reports. Through
comparison with past examination reports and
pathology reports, this system can assist
physicians in rectifying their mindset for report
interpretation and improving the accuracy of reports. As shown in Image 1 and 2.
Report
Extraction Agent
Anatomic
Pathology
Report
Report
Search System
Report
Check Agent
Report
Alert System
Nuclear Medicine
Doctor
Repository
Domain Expert
++
++ ++
Report Correct
Criteria Ontology
PET/CT Scan
Report
Image 1. System Architecture

[15]
4. Conclusions - This study shows that
although examination reports and pathology
reports are of different areas, they can be
compared using a report auditing system. In
this study, the effectiveness of this system is
confirmed. In the future, this system can be
extended to include other examination
items to continuously improve the medical
quality and safety for patients.
5. References
[1] Bigeard, E., Jouhet, V., Mougin, F., Thiessard, F., & Grabar, N. Automatic extraction of numerical
values from unstructured data in EHRs. Studies in health technology and informatics. 210, (2015) p.50-54.
Image 2. Nuclear Medicine Report Auditing System

[16]
On the generalized dynamical fuzzy model for forecasting complex
systems
L. Saad Saoud, F. Rahmoune, V. Tourtchine, K. Baddari
Faculty of sciences, University M’hamed Bougara Boumerdes, Algeria.
+213 661 51 56 34 saadsaoudl@univ-boumerdes.dz
1. Introduction – In this paper, the power of the generalized dynamical fuzzy model (GDFM) [1]
to forecast complex systems comparing to other soft-computing techniques is investigated.
Three real world examples have been chosen to cover several fields and disciplines which are
the average monthly temperatures for Algiers city (capital of Algeria), Box–Jenkins and Euro
versus Algerian Dinar (DZ) exchange rate. Comparison results between the GDFM on the hand,
and the traditional Takagi Sugeno (TS) fuzzy model, the neural network and the neuro-fuzzy
network on the other hand are proposed for the above examples. The results show that the
GDFM provides effective and accurate forecasting.
2. Results - In all the three examples, the root mean squared
error (RMSE) and the variance account for (VAF %) are
chosen as performance indexes. The TS fuzzy, neural
network and the neuro-fuzzy models are considered to
compare the FIIR performance’s. In this abstract, the
example of one month ahead real average monthly
temperatures for Algiers city is presented. The dataset
could be found in [20] in which 1000 samples are chosen.
The first 500 samples are used for training and the rest for
validation. The Gustafson Kessel algorithm is used to cluster
the data in four clusters and the filter’s orders are
approximated using the analogue Butterworth filters, the
genetic algorithm and Nelder-Mead simplex. The orders are obtained like 4, 1+3, 4+1, and 4,
respectively, hence the maximum order 5 of the analogue filter is chosen and 10 parameters for
each IIR filter is considered. The GDFM could be constructed. Figure 1 shows the predicted
output versus the average real monthly temperatures and the corresponding performance
indexes are given in Table 1. In this case, the GDFM model gives better results especially in the
VAFs indexes where they are improved by more than 20%.
Figure 1. One month ahead forecasting output
versus the real average monthly temperatures for
Algiers city and the corresponding error using
GDFM method

[17]
3. Conclusions - In this paper, the applications of the GDFM model, which is an improved Takagi
Sugeno (TS) fuzzy model, for the chaotic time series prediction of nonlinear systems is
presented. This study is addressed to the applications and the performance evaluation of the
GDFM. Several simulation results show that, in all examples taken within this paper, the GDFM
modeling technique proves its capabilities comparing to the other strategies. The GDFM model
just needs the actual inputs for modeling nonlinear dynamical systems which overcome the
problems of the model regressor selection.
Tabla I. Comparison results between the four strategies for real
average monthly temperatures prediction in Algiers city
VAF(%) RMSE
Training Validation Training Validation
TS Fuzzy Model 68.509 68.519 2.8746 2.9917
Neural network model 68.607 67.499 2.9203 2.1151
Neuro-fuzzy model 68.324 68.826 2.8811 2.9817
GDFM model 90.432 90.426 1.5845 1.6760

[18]
The Use of Multiple Information Sources to Analyze Semantic
Features for the Purpose of Review Summarization
Yu Hung Chiang (1)
, Hei Chia Wang (2)
(1)
National Cheng Kung University, Department of Information Management, Taiwan
momois87@hotmail.com
(2)
National Cheng Kung University, Department of Information Management, Taiwan
hcwang@mail.ncku.edu.tw
Abstracts –Tourism has become a part of life nowadays. When travelers plan their tour schedules,
one of key issues is finding suitable accommodation. Many travelers refer the online hotel reviews to make
their decisions. However, the rapid growth of the online reviews makes it to be a hard work to read them
through. An automatic review analysis system to summarize the hotel reviews for those self-help travelers
could be very helpful. In this paper, a review analysis system is proposed to automatically to catch out the
feature opinions which are experience of other tourists presented in the review documents. In the system, a
feature-level sentiment analysis (SA) is designed to determine polarity of these features. Moreover, an
unsupervised method using Part-Of-Speech pattern and multi-lexicons sentiment analysis to summarize all
reviews is adopted. We expect this method can help travelers search what they want and make decisions
more efficient. Experimental results show that F-measure of the proposed method is .628. It has better
outperforms than the method of previous researches.
Keywords: text mining, sentiment analysis, product feature extraction, multi-lexicons
Scientific CV (optional)
Yu-Hung Chiang is a Ph.D. Student in the Department of Industrial and Information
Management Institute of Information Management at National Cheng Kung University,
Taiwan. His advisor is Dr. Hei-Chia Wang. Yu-Hung’s main research focus on Social Networking
Service, E-learning and information retrieval.
Hei-Chia Wang is presently working as a professor in the Institute of Information Management
at National Cheng Kung University, Taiwan. His research focuses on knowledge discovery, text
mining, e-learning and bioinformatics. Wang obtained both M.Sc. in information system
engineering and Ph.D. in informatics from the University of Manchester (UMIST), UK.

[19]
Modelling Neural Networks as a Computational Tool to Estimate
Waiting Time by First Come-First Served Policy
S. Senan (1)
, R. Samli (2)
(1)(2)
Department of Computer Engineering, Istanbul University, 34320 Avcilar,
Istanbul, Turkey.
(1)
+90(212)4737070-17830 , ssenan@istanbul.edu.tr
(2)
ruyasamli@istanbul.edu.tr
1. Introduction – Multiprogramming operating systems need CPU scheduling for organization of
processes to be executed. CPU switches between processes according to scheduling algorithm
in use [1]. There are several characteristics (waiting time, throughput number, response time
etc.) to measure the efficiency of these algorithms [2,3]. Minimum waiting time is one of the
characteristics of effective scheduling algorithm [2-5]. It can be time consuming to calculate
waiting time when the number of processes are large. Hence, estimating the waiting time can
be an alternative technique for analyzing the performance of algorithms. Designing an
estimating model for CPU scheduling by Neural Networks (NNs) can be considered as a
significant concept in operating systems because NNs are powerful mathematical and
computational tool widely used for estimating engineering problems due to their ability of
learning [4,5]. Designing an appropriate NN model for the system in interest is an important
issue.
2. Results and Discussion – In this study, NNs are used as a computational tool for estimating
the waiting time of process sets which are applied by First Come-First Served (FCFS) algorithm.
FCFS executes the process first which will come first to be executed. For this case study 10
processes whose arrival times are choosen as 0 are handled for the calculation of waiting times.
The burst times of the processes are generated randomly as 5, 8, 17, 12, 4, 20, 25, 50, 6 and 10
(ms), respectively. The set of processes can be generated in 10! (3628800) different ways and
random 100 of them are taken account in the study. The proposed feed-forward NN model
includes 10-node input layer, 10-node hidden layer and 1-node output layer. Levenberg–
Marquardt algorithm [6,7] is used for training. Input values are separated as: 70% for training,
15% for validation, and 15% for testing. The regression values are obtained very close to 1 which
is a desired case for modeling by NNs. The differences of the results of FCFS and NN are less than
5% for each permutation and the average difference is 0,6%. So, this case study shows that the
NNs can be used for a large process sets as an intuitive approach beside classic scheduling
algorithms.
3. Conclusions - In this study, we examined NNs to see if we can use them as a computational
tool to estimate the waiting time of processes. We considered a FCFS scheduling algorithm for
this case study to obtain waiting time results and designed a NN model to estimate waiting times
for a given case. Then, we compared these results to see if NN approach is a suitable tool for

[20]
CPU scheduling or not. The results show that the forecasting ability of NNs is powerful for
obtaining waiting time criterion in CPU scheduling. The proposed model can be applied to
process set of any length. Thus, this case study shows that NNs can be used for a large process
sets as an intuitive approach beside classic algorithms. This paper presents that applying NNs to
operating systems area can be an alternative successful method to obtain waiting time
characteristic to measure the efficiency of CPU scheduling algorithms if the network is designed
and trained properly.
4. References
[1] A. Silberschatz, P. B. Galvin, G. Gagne, “Operating System Concepts”, John Wiley&Sons Inc, 2004.
[2] K. Sukhija,N. Aggarwal, M. Jindal, Journ. of Emerging Techn. in Web Int., 6, (2014) p.420-428.
[3] M. Saini and N. Kumar, Int. Journ. of Research In Comp. Appl.and Robotics, 3, (2015) p. 7-12.
[4] M.D. Richard, R.P. Lippmann, Neural Computation, 3, (1991) p. 461-483.
[5] M. Uzunoglu, C. Kocatepe, R. Yumurtaci, Math. and Comput. Applications, 1, (1996) p. 159-164.
[6] K. Levenberg, Quarterly of Applied Mathematics, 5, (1944) p. 164–168.
[7] D. Marquardt, SIAM Journal on Applied Mathematics, 11(2), (1963) p. 431–441.

[21]
Determination of conversion factors of UCS from point load test for
evaporites and sedimentary rocks and numerical modelling
M. Altinpinar (1)
, H. Ozturk (2)
, D. Guner(2)
(1)
Kenz Mining Corp. Ankara, Turkey
+903122102670 mehmetu7@gmail.com
(2)
Middle East Technical University, Ankara, Turkey.
Abstract – Point load is an index test for rock strength classification and generally used for
determination of uniaxial compressive strength (UCS) because of its economical advantages and
simplicity in testing. If the point load index of a specimen is known, the UCS can be estimated
according to some conversion factors. These conversion factors are dependent upon the rock
type and have been proposed by different researchers for different sedimentary, igneous and
metamorphic rocks. However, in the literature, there is a limited amount of information on
conversion factors of evaporites. In this study, laboratory UCS and field point load tests are
performed on evaporites and overlying volcano-sedimentary rocks. During the laboratory
studies, more than fifty UCS test specimens are prepared and tested. More than hundred axial
point load tests are conducted on the site. As a result of this study, three different point load to
UCS conversion factors for evaporites, claystone and bituminous shale have been proposed. The
tests have been numerically modelled using the particle flow code (PFC 2D). In conclusion, point
load to UCS conversion factors of the evaporites and overlying volcano-sedimentary rocks are
proposed and numerical modelling of the tests can be used for the calibration of future PFC
excavation modelling practices in evaporates, bituminous shale, and claystone.
Key Words: UCS, point load, strength, PFC, numerical modelling

[22]
Mental Model Conflict at a Digital Sphygmomanometer Interface in
Rural India
P. Mukhopadhyay(1)
, S. Nigam (2)
(1)
Design Discipline, Indian Institute of Information Technology Design and Manufacturing
Jabalpur, India.
Phone: 91 7612794315, email:prabirdr@gmail.com
(2)
National Institute of Design, Gandhinagar, Gujarat, India.
1. Introduction – Hipertensión is a serious problem in rural India. A village in western India was
selected, where digital sphygmomanometers are provided to the rural people to keep a check
on their blood pressure. Unfortunately the users complained that the interface of the device
was not user friendly and hence asked the research team to intervene and provide a viable user
friendly interface.
2. Experimental – To identify the usability issues in the existing design of the device methods
like direct observation and activity analysis, interview, photography and videography and task
analysis were applied.
3. Results and Discussion - After applying the above mentioned methodologies the following
ergonomic design issues were at the product user interface:
a) Wearing of the Air Jacket: Wearing of the air jacket in the upper arm was a problem for many.
Users were confused on the actual orientation of the jacket and many of them placed it in the
wrong manner.
b) Plugging in the air tube into the air-tube plug: Users confused between the plug in of the air
tube and the power plug in at the display of the equipment.
c) Confusion between the Start Button and On/Off button: There were two buttons provided on
the equipment. The first one was an ON/OFF button for switching the equipment on and off.
There was a start button located close to these buttons meant for measuring the blood pressure.
This was confusing to many users, as to whether the start button was meant for starting the
equipment or for initiating the measurement of blood pressure.
4. Conclusions - The study pointed out the mismatch in the user’s mental model in task
performance with a popularly used medical device. Hence future designs of such devices should
consider the end users to ensure a better usability of the product and hence better acceptance.
The proposed solutions in this study has been forwarded to the appropriate authority and the

[23]
authors hope that it would be implemented in the design of a first indigenously developed
digital; sphygmomanometer in India.
5. References
[1] G.Ginsburg, "Human factors engineering: a tool for medical device evaluation in hospital procurement decision making", Jr.
Biomed. Inf., vol 38, pp. 213-219, December 2005.
[2] N. Bitterman, “Design of medical devices- a home perspective,” Eur. Jr.Int.Med., vol 22, pp 39-42, February 2011.
.

[24]
Using Interactive Visualization Tools in Cybersecurity Education
H. Yu, T. Terry, A. Abuzaid and A. Show
Department of Computer Science
North Carolina A&T State University, USA
1. Introduction – There is growing evidence that using interactive visualization education tools
increases students’ interest in Cybersecurity studies and enhances their learning experience
[1,2,3]. Highly interactive hands-on exercises help students understand abstract Cybersecurity
concepts through interactive explorations and visualizations. However, hands-on experiences in
traditional computer science curricula have been typically limited to programming assignments.
Developing new types of visualization education tools and using them in Cybersecurity
education becomes necessary.
We have developed several interactive visualization education tools to demonstrate
Cybersecurity concepts, encryption techniques and how implementing HTTPS. The first tool is
an Interactive SYN Flood Simulator that allows students to interact with the simulator and take
challenge questions. The first demonstration is normal network traffic, which displays how the
TCP three-way handshake works. The second one is a SYN flood attack, which displays how the
two-way handshake occurs as well as what happens during a SYN flood attack. Prevention is the
last demonstration, which displays a firewall as a prevention method to a SYN flood attack. The
second is a Cryptography Education Tool (CDT) that is user friendly, visualization-based,
consistency of displays, easy to use and platform independent. This tool implements three
categories ciphers that are Transmission of Password, Secrete Key Cryptography and Public Key
Cryptography. First the CDT demonstrates how these algorithms work, secondly it let students
get hands-on experience to encrypt and decrypt messages, and finally if the student cannot
generate correct results it will show students step by step how to generate the correct result.
Simplified Data Encryption Standard (SDES) is a secret key encryption algorithm that is
implemented to demonstrate how a block cipher works. RSA is a public key encryption algorithm
and has been used for key exchange, digital signature and encryption of small blocks of data.
RSA is implemented to demonstrate generating keys, encrypting and decrypting messages. The
third tool is a HTTPS training module that helps students understand the concepts of certificate
and Security Socket Layer/Transport Layer Security, the security functions that HTTPS provided
and how it supports confidentially, integrity and authenticity. This module consists of three parts
that are creating a certificate, distributing a certificate and setup HTTPS. This module shows step
by step how to generate a private key, create a Certificate Signing Request (CSR), create a Self-
Signed certificate, distribute the certificate, setup HTTPS and test HTTPS implementation.
2. Experimental - These education tools have been used in the Department of Computer Science
at North Carolina A&T State University for security related courses, such as Web Security,
Network Security, to let students get hands-on experience and increase their interest and
confidence in Cybersecurity knowledge and skills.
3. Results and Discussion - We conducted surveys for every class. These surveys consist of three-
groups of questions. The questions in the first group reflected knowledge after students
attended the lectures and used the tool(s). The questions in the second group were evaluating
functions and API of the tool(s). Questions in the third group were general questions and

[25]
comments. Students’ surveys and feedbacks reflected that these tools are very friendly, helpful
and easy use. By using these tools they can quickly learn and practice related topics.
4. Conclusions - We designed and implemented three visualization Cybersecurity education
tools to help students better understand the concepts of Cybersecurity topics and get hands-on
experience. These tools are very useful and can be used in other colleges and universities to aid
teaching security related topics.
5. References
[1] H. Yu, K. Williams, J. Xu, X. Yuan, B. Chu, B. Kang and T. Kombol, “Interactive Simulation Tools
for Information Assurance Education”, 2th
Annual Conf. on Education in IA, February 2009.
[2] A. Abuzaid, H. Yu, X. Yuan and B. Chu, “The Design and Implementation of a Cryptographic
Education Tool”, The Int. Conf. on Computer Supported Education, May 2011.
[3] X. Yuan, K. Williams, H. Yu, B. Chu, “A Workshop on Teaching Information Assurance through Case
Studies and Hands-on Experiences,” 47th
Hawaii Int. Conf. on System Science, January 2014.
Dr. Huiming Yu, professor and director of graduate studies of the Computer Science Department
at North Carolina A&T State University, has 27 years of combined teaching and research
experience in software engineering, visualization, web security, information security, web
applications, cloud computing and computer science education. She received her Ph.D. degree
from Stevens Institute of Technology, Hoboken, New jersey, USA in 1992.

[26]
Waste energy calculation of an aircraft engine using computer
experiment
Ozlem Sahin (1)
, Onder Turan (3)
(1)
Faculty of Aeronautics and Astronautics, Anadolu University, Eskisehir, Turkey.
Phone Number: 0090 222 335 0580, e-mail: osahin5@anadolu.edu.tr
(2)
Industrial Engineering Department, Anadolu University, Eskisehir, Turkey.
(3)
Abstract-Aircraft engines are very complex and have extreme operating conditions. A complete
and accurate performance calculation of an entire aircraft and its energy systems is enormously
demanding. Designing a complex aircraft gas turbines will require fast, accurate simulations of
computational models from multiple engineering disciplines along with sophisticated
optimization techniques to help guide the on-design process. In this paper, we give the
architecture of an aero engine on-design-based MATLAB software for the calculation of specific
waste energy of a high bypass turbofan for a commercial transport aircraft, by considering the
following parameters such as the fan pressure ratio ( c ), bypass ratio (). Accordingly, it may
be concluded that the software program developed can successfully calculate the specific waste
energy of aircraft for one engine at 10 c 20, 2  8 and with aircraft flight Mach number
0.8.

[27]
Energy modeling of an aircraft propulsion system components with the
aid of MATLAB
Onder Turan (1)
, Ozlem Sahin (2)
(1)
Phone Number: 0090 222 335 0580, e-mail: onderturan@anadolu.edu.tr
(2)
(3)
Industrial Engineering Department, Anadolu University, Eskisehir, Turkey.
.
Abstract – Future air transportation evolves according to new demands for increased performance,
fuel efficiency and stricter environmental regulations on noise and emissions. Hence, using energy
with better efficiency reduces pollutant emissions. The objective of this paper is to calculate
turbofan exergetic parameters according the fan pressure ratio (c) and bypass ratio () in the
computer experiment. On this purpose, for yielding these objective surfaces were drawn as three
dimensional color-scaled mesh plots and then computer experiments were executed values for 10
c 20, 2  8 with aircraft flight Mach number 0.8 in MATLAB environment. In all computer
experiments, it was assumed that kerosen fuel (C12H23) was used as in turbofan engine. As a
conclusion, component efficiency maps related to selected design parameters had been given in
optimization mesh plots in case of selecting on-design flight conditions.

[28]
Computer-based monitoring platform for renewable energy systems:
Four experimental application cases using NI LabVIEW
, M. Calderón Godoy, J. Figueiredo(2)
(1)
Department of Electrical Engineering, Electronics and Automation.
University of Extremadura, Spain. E-mail: {igonzp,ajcalde,calgodoy}@unex.es
(2)
Centre of Mechatronics Engineering – CEM/Institut of Mechanical Engineering – IDMEC,
University of Évora, Portugal.E-mail: jfig@uevora.pt
1. Introduction – During last decades, the global energetic scenario is evolving towards a scheme
with increasing relevance of Renewable Energy Sources (RES) like photovoltaic, wind, biomass
and hydrogen. A management and control strategy is responsible of
providing reliable, stable and efficient operation. To implement such
strategy, a monitoring system is required. Computer-based
monitoring platform is in charge of acquiring the system operative
data and processing them. Real-time information is continuously
provided to the supervisor via an interactive and graphical interface;
data storage is also performed. Diverse scientific literature points
out the relevance of monitoring platforms for RES systems [1,2]. The
National Instruments (NI) LabVIEW package is general purpose software for instrumentation and
control that provides an easy-to-use graphical environment and powerful built-in functions. It
has been previously used to monitor this kind of systems [3-5]. The present work aims to
contribute to experimentally validate LabVIEW as valuable tool to develop monitoring platforms
in the field of RES-based facilities. To this aim, a set of real systems successfully monitored is
exposed.
2. Results and Discussion - The monitoring platforms of four
RES-based plants are exposed. The first one is a Polymer
Exchange Membrane Fuel Cell (PEMFC) stack. An
autonomous hybrid wind-solar system including equipment
for hydrogen generation, consumption and storage is the
second experience (Image 1). A hybrid wind-solar park
comprising different photovoltaic technologies
(amorphous, monocrystalline, polycrystalline,
polycrystalline with solar tracking) is thirdly described. The
last case is a plate photobioreactor for microalgae culture
devoted to biomass production. LabVIEW is used in all of
them to directly monitor the process or to acquire and
exchange data. Ole for Process Control (OPC) protocol has
been included in the last two facilities to exchange data
Image 1. Monitoring screen
for hybrid system with hydrogen.
Table I. LabVIEW role
summary.
System
LabVIEW role
PEMFC Monitoring
Hybrid system with
hydrogen
Monitoring
& Control
Hybrid system of
different PV modules
Data exchange
for Monitoring
Biomass
photobioreactor
Monitoring
& Control

[29]
between the field devices and the monitoring software. The PEMFC tracking software is
nowadays under improvement. All the others systems have been working during almost two
years, demonstrating the reliability of the developed platforms. Table I summarizes the role
played by the LabVIEW program in every case.
3. Conclusions - Four experimental RES-based plants under real working conditions have been
exposed. The validation of LabVIEW software as valuable tool to develop effective monitoring
platforms for RES-based facilities has been carried out. The ability of this program to handle the
different devices and protocols involved in the facilities has been proved.
4. References
[1] Z. Vale, H. Morais, P. Faria, C. Ramos. Renewable Energy, 52, (2013) p. 143.
[2] W.T. Sung, H.Y. Chung. Measurement, 55, (2014) p. 362.
[3] J.M. Andújar, F. Segura. Fuel Cells, 15 (6), (2015) p. 813.
[4] A. Pawlowski, J.L. Mendoza, J.L. Guzmán, et al. Bioresource Technology, 170, (2014) p. 1.
[5] D. Stimoniaris, T. Kollatou, D. Tsiamitros, et al. Electric Power Systems Research 136, (2016) p. 251.

[30]
SCADA software for education in automation and supervision: Initial
evaluation of Easy Java Simulations
(1)
Department of Electrical Engineering, Electronics and Automation.
University of Extremadura, Spain. E-mail: {igonzp,ajcalde}@unex.es
1. Introduction – Supervisory Control and Data Acquisition (SCADA) systems constitute a
fundamental issue in the automation and control engineering education. In the Systems
Engineering and Automation area of the University of Extremadura,
the software Siemens WinCC and National Instruments (NI)
LabVIEW have been traditionally used in automation and
supervision courses. In this work, a novel proposal is presented:
using Easy Java Simulations (EJS) as SCADA educational tool. EJS is
an open source tool based on Java devoted to create discrete
simulations and virtual and remote laboratories [1]. It is
continuously updated and improved by means of modules that
enhance its capabilities.
This article reports the initial evaluation of EJS as educational SCADA software. To this aim, a
SCADA system is developed to monitor and control an experimental plant by means of an
interactive Graphical User Interface (GUI), as can be seen in Image 1. In addition, in order to
acquire operative data, an Object-linking embedded for Process Control (OPC) link has been
created.
2. Experimental – A servomotor controlled by a programmable logic controller (PLC) serves as
plant to be supervised. To connect the EJS-based GUI with the field device, intermediate
software is required. Specifically, a LabVIEW program has been designed and applied to this
purpose. EJS Java-Internet-LabVIEW (JIL) server enables the information exchange between EJS
and LabVIEW. On the other side, LabVIEW accesses the PLC data by means of an OPC interface.
I.e., the OPC server accesses the field device signals and makes them available for the LabVIEW
client. The NI LabVIEW and OPC Servers version 2013 have been used. The EJS version was
released in September 2015. Regarding the physical connections, the PLC is linked to the PC
where the software runs through Ethernet.
3. Results and Discussion – The developed EJS-based SCADA effectively monitors and control
the plant. In fact, EJS manages essentially the same concepts than other SCADA-devoted
packages, namely: fields for read/write operations, graphics for variables evolution, code
definition for advanced operations, animation of drawing elements illustrating the process, and
so on. Some advantages of EJS to note are now commented. It is a free software; integration
Image 1. Main screen of the developed
GUI using EJS for SCADA teaching.

[31]
with video from camera is very easy; it includes a tool (Data Tool) to manage the data; a high
grade of interactivity is provided. On the opposite, there are also some disadvantages namely:
developing synoptic is not easy; data storage must be performed by the user by means of such
Data Tool; the connectivity options are bounded so it requires the intervention of intermediate
software (LabVIEW in the studied case).
4. Conclusions –The main contribution of this work is the initial evaluation of EJS as educational
instrument in the context of SCADA systems. The novelty of this proposal relies in the usage of
a software package devoted to create simulations and virtual/remote laboratories as tool to
teach supervision and monitoring. Communication between EJS and industrial field devices as
PLC is provided by LabVIEW and OPC technology. Supervision of a real experimental system has
been carried out. Further application and assessment is under development. Authors consider
that EJS may serve as complementary software tool for teaching SCADA development.
5. References
[1] F. Esquembre, Computer Physics Communications, 156, (2004) p. 199.

[32]
Necessary and sufficient condition of optimality for stochastic linear
switching systems with delay on control
Ch. Aghayeva (1)
, O. Sahin (2)
, O. Turan(2)
(1) Faculty of Engineering, Anadolu University, Eskisehir, Turkey
Phone Number: 0090 222 335 0580, e-mail: cherkez.agayeva@gmail.com
(2)
Faculty of Aeronautics and Astronautics, Anadolu University, Eskisehir, Turkey
Abstract – Many random phenomena such as the evolution of the stock price, the pricing of options for
securities markets, portfolio-consumption choice and other dynamical systems, can be describe by
stochastic differential equations. In other hand, there are many phenomena which have the nature of past-
dependence, i.e. their behavior at any time not only depends on the present situation, but also on their past
history. Such models may be identified as stochastic differential equations with delay.
Due to their applications in engineering, mechanics, biology, life science, finance and other fields, the
optimization problems of stochastic switching systems with delay have attracted increasing interset
recently.
In this paper, we consider an optimal control problem for the non-invariant stochastic systems with
delay in control. The necessary and sufficient condition of optimality for linear control systems with
quadratic cost functional is obtained.
One of the elegant features of the LQ theory is the opportunity to give a description for
optimal control in a linear state feedback form by Riccati equation. Finally, the explicit
representation of the optimal control is determined via a set of stochastic Riccati equations for
linear switching systems with delay.

[33]
A Cloud Management System for Existing Servers
B. Kaynak (1)
, S. Kaynak (2)
, O. Tuna
(1)
Sakarya University Computer Research and Application Center Sakarya Turkey.
+902642957369 - kaynak@sakarya.edu.tr
(2)
Sakarya University Department of Computer Engineering Sakarya Turkey.
1. Introduction – Cloud computing makes possible developing scalable and flexible systems with
its low cost maintenance fees. But it is costly, both time and money aspect, to migrate services
not running on cloud. It is very difficult to do things like adding new server, deploying
applications to application pool, real-time server monitoring, managing resources between
application pools on those servers. On this paper we aimed to improve those servers with basic
cloud computing skills with easy migration steps. We developed a system which can be installed
on existing servers to make private clouds easily. Communication between servers have
achieved with agents using web socket technology. Servers can be monitored in real-time and
manageable by a web based management panel.
2. Results and Discussion - In this study, existing servers can be a part of cloud servers with only an agent
installation easily. With this application it is possible to manage dns and web servers on existing instances.
Servers’ status can be monitored and load balancing management configurations can be done remotely on
a web interface. Application deployment process is also simplified for developers with this web
management interface. Application deployment process is automatically synchronized on all servers.
An infrastructure has been developed for the continuous integration process. It is ready to
integrate other systems with web apis. In the further stages of the study, it is aimed to support
docker container platform and virtual machine platform apis to make an auto scalable cloud
system.
4. Conclusions - An easy to install and cost effective management and monitoring system is developed to
migrate existing systems into different private clouds. Monitoring, management and deploying processes
are grouped in a single application which can be managed remotely via web interfaces.

[34]
A 3D Printer Virtualization Model for Cloud Manufacturing
B. Kaynak (1)
, O. Torkul (2)
, S. Kaynak (3)
(1)
Sakarya University Computer Research and Application Center Sakarya Turkey.
+902642957369 - kaynak@sakarya.edu.tr
(2)
Sakarya University Department of Industrial Engineering Sakarya Turkey.
(3)
Sakarya University Department of Computer Engineering Sakarya Turkey.
1. Introduction – Thanks be managed manufacturing sources in a cloud platform, both users and
resource providers can share resources and manage from a common point. However, the
virtualization of resources will be required to be represented in the cloud platform. Preparation
of related resources that can represent a description of the features and functionality for
virtualization and functions related to this information is needed in a system that can meet
virtually. In order to run 3D printers in a cloud platform, features and functions are required to
be virtualized.
In this study, an application has been designed which can be calculate process times with the
simulation of 3D printers' properties and functions. 3D printer in a variety of features that has
been modeled and simulation functions prepared for 3D design models which can be performed
on the printers. Virtualization process, which is necessary for cloud manufacturing systems has
been modeled for 3D printers.
2. Results and Discussion – In this study, the virtualization process of the resources needed for cloud
manufacturing was carried out with a C # application. In this application 3D printers are modeled with an
object oriented approach. 3D design models are separated into layers for virtualized 3D printers and total
processing time can be calculated. In this way, the processing time required for manufacturing planning
process, which will take place in the cloud environment, they can be obtained for 3D printers.
In the future work a cloud manufacturing platform will be designed for 3D printers and a job scheduling
system will be designed. In this way, the optimal production of the 3D user model in which the source can
be found.
4. Conclusions - The identification of sources of supply in the manufacturing environment with 3D printers
made in particular has become a standard can be represented in a virtual environment. An example of
resource modelling and virtualizing for 3D printers is made. With the virtualization of resources, a multi-
part job has become possible to run by different resource providers. More efficient use of resources for
resource providers is also provided.

[35]
A New Framework for Natural Control of Smart Device and Virtual
Reality Using Brain Signal Pattern
F. Abuhashish, K. Tahat, J. Alsadi
Information Technology Program, Arab Open University, Amman, Jordan.
+962795199049, f_abuhashish@aou.edu.jo, k_tahat@aou.edu.jo, j_alsadi@aou.edu.jo.
1. Introduction – This study proposes a new framework in order to utilize the human inner
imaginary that have been conducted on the basis of EEG signals to control smart device using a
BCI device. This framework consists five steps, starting by extracting the features through brain
signal in order to obtain the control imaginary, classify the extracted features, map the classified
features, simulate the smart device model and synchronize the brain activity with it. Based on
our best knowledge there is no clear and easy to implement framework for synchronizing and
controlling smart device. As a result, for implementing the new framework, an enhancement
has been achieved on the technology field in term of controlling smart devices. This method
would also enhance virtual reality as well. Commercial games and Augmented Reality systems
within smart devices are possible beneficiaries of this technique.
Keywords: EEG; BCI; framework; imaginary

[36]
FPGA Based Accelerator for Molecular Dynamics
Nicolae Goga(2)
, Mihaela Malița(3)
, David Mihăiță(1)
, Gheorghe M. Ștefan(4)
(1)
Politehnica University of Bucharest, 313 Splaiul Independentei,
Bucuresti, 060042, +40734096165, david.mihaita@outlook.com
(2)
University of Groningen
(3)
Saint Anselm College, Manchester, NH
(4)
Politehnica University of Bucharest
1. Introduction – N-Body method applied to model molecular dynamics is one of the most
computationally intensive applications. Hybrid computation could be used to deal with this very
demanding “dwarf” [1]. Our proposal is based on a Xilinx Zynq platform with a dual-core ARM
used as local host, and a 512-core vector machine, used as accelerator, defined on the associated
FPGA. The accelerator has a many-core Map-Reduce architecture developed in [2].
2. Experimental - Our accelerator is supposed to work on the “leafs” of the Gromacs system. It
is connected through a PCIe to a x86 system. It consists of a linear array of p cells, a reduction
network, a control section, the PCIe interface to the Host and a scalar memory. Each cell has a
local memory and the associated execution unit. The execution system is SIMD, an instruction is
issued by the controller, instruction which will be executed in all the active cells. A subset of
spatial control functions is used to make data dependent selections among the cells. The
reduction network performs functions defined on set of vectors, distributed along the cells, with
values in set of scalars processed and stored in the control unit.
The accelerator deals with a system of n particles. Each particle is characterized by m scalars.
Thus, the accelerator is loaded with a two-dimension array organized as m n-scalar vectors. If
n>p, then the array is fragmented in m×p arrays stored in the accelerator’s scalar memory. Two
kinds of operations are performed on this two-dimension array: (1) a search for neighbors
(particles which interact with one another) for each of the p particles, (2) compute and apply
the forces on each particle. In each processing cycle the step (1) is followed by q steps (2), where
user can select the value of q from 1 to a higher value dependent on the temperature, pressure
etc. of the system, with the addition that increasing this value will result in higher errors but a
faster simulation. After a number of processing cycles, also defined by the user, the resulting
array is sent back to the host.
In step (1), the position of each particle is compared, in parallel, with the positions of all other
particles. The parameters of the particle are broadcast in the cells that are close to it, thus
defining the neighborhood of each particle in each cell. In step (2), the new position for each
particle is computed, also in parallel. The degree of parallelism is given by the mean value of the
size of the neighborhoods.

[37]
3. Results and Discussion – The acceleration of the computation provided by our hybrid
approach is from 10× to 50×, depending on the molecule involved in evaluation. The acceleration
depends also by the clock frequency accepted by the FPGA. For an ASIC implementation a
supplementary 10× is expected.
4. Conclusions – Because the degree of parallelism involved in the computation performed on
our MapReduce architecture is 74%, we can qualify it as a good accelerator.
5. References
[1] Krste Asanovic, et al., The landscape of parallel computing research: A view from Berkeley,
2006.
http://www.eecs.berkeley.edu/Pubs/TechRpts/2006/EECS-2006-183.pdf
[2] Gheorghe M. Ștefan, Mihaela Malița, “Can One-Chip Parallel Computing Be Liberated From
Ad Hoc Solutions? A Computation Model Based Approach and Its Implementation”, 18th Inter.
Conf. on Circuits, Systems, Communications and Computers, Santorini, July 17-21, 2014, 582-
597.
http://www.inase.org/library/2014/santorini/bypaper/COMPUTERS/CO
MPUTERS2-42.pdf

[38]
GEOTECHNOLOGICAL SYSTEM FOR TELEMEDICINE IN
MARGINALIZED AREAS OF MEXICO.
I. VELAZQUEZ (1)
, R. SEGURA (2)
.
(1(2))
Grupo AIT, Alto Impacto Tecnológico S.A DE C.V.- RASE Proyectos Productivos, Metepec,
Mexico.
+52 1 7225854465, isa.vela@hotmail.com
(2)
RASE Proyectos Productivos S.A. de C.V. - Grupo AIT, Alto Impacto Tecnológico, Metepec,
Mexico.
+52 1 7222405885, rase.proyectos@yahoo.com
1. Introduction –
The main objective of this project was to develop a prototype spacial
geotechnological system of healt through health geography; based
on information technologies, through the creation of a robust and
comprehensive system that consolidates in one tool best practices,
theories, applications and telemedicine tools, high interoperability.
This project includes the development of unique technology in
Mexico with which manages to satisfy the need of preventive medicine in the most vulnerable
areas of the country that require an efficient health and high quality standards.
2. Experimental - The main experimental stage consisted of the development of functional,
stress and performance teasting at laboratory and pilot servers, with express servers scaling the
methodology to achieve interoperability between geotechnologies and telemedicine, as well as
the creation of electronic records and interface for mobile devices.
3. Results and Discussion - The main result of our development was to generate technologies
adapted to the health needs of Mexico, meeting the requirements of its specific programs
developed for this purpose through the development of a prototype integrated system with
interoperability between Geotechnologies and Telemedicine based on the principle of
technological sustainability which focuses on the use of appropriate technology in context,
through tools adapted to the requirements of the target market.
Image 1. Geotechnologies-
Telemedicine

[39]
This project was supported by the program for research, technological development and
innovation 2016 of CONACYT (National Council of Science and Technology, Mexico).
4. Conclusions - The project allows the development of a database where they can interact with
various specialists for the same patient and / or the same disease and thus fed back into the
system being accelerated pace of growth advancement of TIC's (information and
communication technologies) incorporates new development models technological; cultural
and social, making it more competitive health system in Mexico, mainly in the area of preventive
medicine, reaching the most vulnerable country relying on data generation that integrates
clinical records of each patient for decision-making and prescriptions electronic based on quality
information, actual and timely basis of the information and data collected based on the
principles of health geography proposed by the study of the distribution of health medical,
disease, mortality, services and health systems, as well as vectors and their relationship to local
and global factors affecting them, which together account geographical, environmental, socio-
economic, demographic, technological and cultural physical characteristics of the territory and
population.

[40]
Technological Hybrid Integral System for the sustained development
of Inclusive Business Network, phase 2 of 2. Incorporating
Geotechnologies.
R. SEGURA (1)
, I. VELAZQUEZ (2)
.
(1) (2)
RASE Proyectos Productivos S.A. de C.V. Metepec, Mexico.
(1)
+52 1 7225854465, isa.vela@hotmail.com
(2)
+52 1 7222405885, rase.proyectos@yahoo.com
1. Introduction –
The main objective of this project was to develop a robust, innovative
and functional prototype hybrid integrated network system TIC's
(information and communication technologies), a based business
through continuous technological improvement that will allow
pooling consolidate and strengthen new and better technology tools
that provide greater competitive advantage to micro and small
entrepreneurs engaged the distribution of products. Incorporating
geotechnologies aims to provide relevant and strategic commercial
information, logistics, warehousing, competition, geographic
location of niche markets, potential consumers, etc. using the
principles of economic geography among others, its goal is adapted
consumer behavior by geographic area as well as to publicize the
strategic points for marketing various products and for the opening
of outlets; which strengthens the impetus to sustainable
development of the business network wholesale company to generate data for timely decision-
making and the definition of actions, for the permanence of customers in the distribution market
within the formal economy.
2. Experimental - The main experimental stage consisted of the development of functional,
stress and performance testing at laboratory and pilot servers, with express servers scaling the
methodology for the union of various technological, administrative and geotechnological tools
in one system achieving successfully interoperate.
3. Results and Discussion - The main result of our development was the generation of an
optimized integrated hybrid technology system, strengthening the integration of different
Image 1. Information flow

[41]
technological, administrative tools and incorporating geo-technologies in an intuitive system
functional application for our customers, allowing them to be profitable and form a virtuous
inclusive business model.
This project is supported by the program for research, technological development and
innovation 2016 of CONACYT (National Council of Science and Technology, Mexico).
4. Conclusions - This project allows the development of a database in which interoperate various
technological tools like CRM, BSC, six sigma, geotechnologies (geomarketing, geoinformation),
e-commerce, etc. from a single intuitive system, developed for micro and small entrepreneurs
engaged in the distribution of products; whose sales information, customer profile. Etc. focuses
on the wholesale company servers and allows analysis for constant and effective counseling,
obtaining as results a network of sustainable, inclusive and highly profitable business.

[42]
Improved Independent Component Analysis (ICA) by Optimization of
Step Size Using Newton’s Method
M. Ghanbari (1)
(1)
Department of mathematics Islamic Azad University, Khorramabad Branch, Khorramabad
Iran
Phone Number: +989166610384, e-mail:mghanbari52@yahoo.com
1. Introduction – Independent component analysis (ICA) is a computational method to solve
blind source separation (BSS) problem. In this paper, an improved ICA based on optimization
step size using Newton’s method proposes to solve BSS problems.
Newton’s method is used to find optimal step size of Kurtosis
contrast function. . Independent Component Analysis (ICA) or Blind
Source Separation (BSS) is a signal processing method that extracts
statistically independent components from a set of measured signals
[1-2]. The convergence properties of iterative techniques are to a
large extent determined by the step size, learning rate, or adaption
coefficient employed in their update equations.
2. Experimental - We used three sound signals from MATLAB database that shown in Image 1.Each
size of simple signals was 1000. These source signals were randomly mixed. After whitening the
mixed signals, we ran the proposed improved FastICA algorithm for separation the mixed signals
.
3. Results and Discussion -. In order to measure the accuracy of separation, we calculate the
Amari [ 3] performance index. The experiment result are noted in Table I for the result in Table
I, we can see that the separation performance of the proposed algorithm is almost the same as
the FastICA algorithm. Furthermore, we compared the convergence speed of these two
algorithms. We randomly ran each of these two methods 15 times. We than calculated the
average iterative numbers as noted in Table II.
Image 1. three source signals
inserted on the text
0 100 200 300 400 500 600 700 800 900 1000
-5
0
5
0 100 200 300 400 500 600 700 800 900 1000
-5
0
5
0 100 200 300 400 500 600 700 800 900 1000
-5
0
5
Tabla I. : Comparison of the separation
N
1 2 3 4 5 6
FastICA 0.1256 1831.0 0.1673 0.1528 0.1464 0.2467
Proposed
algorithm
0.1556 1735.0 0.1671 0.1823 0.1261 0.2321

[43]
4. Conclusions - The simulation results showed the method has fewer iterations and exhibited
faster convergence than FastICA
5. References
[1] A.Hevarinen, J. Karhunen, E. Oja, Independent Component Analysis, John Wiley & Sons, New York,
2001.
[2] T.W. Lee, M. Girolami, T.J. Sejnowski, Independent component analysis using an extended
infomaxalgorithm for mixed subgaussian andsupergaussian source, Neural Computation 11
(1999) 417–441.
[3] S. Amari, A. Cichocki, H. Yang, A new learning algorithm for blind source separation, in:
Advancesin Neural Information Processing Systems, vol. 8, 1996, pp. 757–763.
Assistant Prof Mahdi Ghanbari Basteh Deimi- Curriculum Vitae
Lecturer in mathematics 2001-2013, University of Khorramabad Branch, IAU
Assistant Prof in mathematics 2014-2015, University of Khorramabad Branch, IAU
Education
July 2010- July 2014 PhD in mathematics, Universiti Teknologi Malaysia (UTM)
Summary of Research
My PhD thesis " Detecting Epileptogenic Foci From Electroencephalography Using Independent
Component Analysis" with Prof Tahir Ahmad and Associate Prof Norma Alias in UTM, my
research falls into several areas: neuroscience signal processing , wavelet, clustering, feature
extract, Artificial Neural Network, Advance Statistic methods such as ICA( Independent
Component Analysis), PCA( Principle Component Analysis), Image processing, unconstrained
optimization method
Tabla I. : Comparison of the iteration numbers and CPU time
N
FastICA Proposed
algorithm
The 1th component 28.10 4.25
The 2th component 8.35
8.35
5.81
The 3th component 5.22 3.28
Total iteration 23.85 13.34
CPU time 0.2412
sec.
0.1471 sec.

[44]
Publication:
Mahdi Ghanbari, Tahir Ahmad, Norma Alias, Detection of epilepsy seizure on EEG based on
central tendency measure and artificial neural network (Accept in conference ICMHS CANADA,
Aug 2015)
Mohamad Askaripour, Mahdi Ghanbari, An Efficient Numerical Technique for the Solution of
Nonlinear Heat Equation via Spectral Method, (Accept in International Journal of Applied
Mathematical Research, 2015)
Mahdi Ghanbari, Tahir Ahmad, Norma Alias, Mohammadreza Askaripour. Global Convergence
of two Spectral Conjugate Gradient Methods. ScienAsia. 39 (2013): 306-311.
Maziyar, Mahdi Ghanbari, Jasmy Bin, Improved FastICA to Automatic Noise removal for
Emotional Classification, Latest Trends in Circuits, Control and Signal Processing Malaysia 2013.
TahirAhmad, M. Ghanbari, M. Askaripour and , N. Behboodiyan. Detection of Epilepsy from EEG
Signal during Seizure Using Heuristic Algorithm of Fixed Point Iterations. Research Journal of
Applied Sciences, Engineering and Technology 4(19): 3584-3587, 2012.
Tahir Ahmad, M. Ghanbari, M. Askaripour and N. Behboodiyan. Detection of Epilepsy from EEG
Signal During Seizure Using Entropy-Based Fuzzy c-Means. Research Journal of Applied Sciences,
Engineering and Technology 4(19): 3588-3591, 2012.

[45]
A FUZZY DECISION SUPPORT SYSTEM FOR SELECTION OF
APPROPRIATE SERVICE PROVIDER IN IT OUTSOURCING
N. Kalantari (1)
, A. Shayan (2)
, B. Khosravi(3)
(1)
Information Technology Management Department, Tarbiat Modares University, PhD. of
Science and Technology Policy-Making, Tehran, Iran
n.kalantari@modares.ac.ir
(2)
Information Technology Management Department, Tarbiat Modares University, assistant
Professor of Economy and Management Faculty, Tehran, Iran
ashayan@modares.ac.ir
(3) Information Technology Management Department, Allameh Tabataba’i University, Ph.D.
candidate in Information Technology Management, Tehran, Iran
bayan_khosravi@yahoo.com
1. Introduction – Outsourcing strategy is one of the main business strategies in order to gain
competitive advantage in different industries such as information
technology (IT) industry. IT outsourcing projects may fail for a
number of reasons which selecting inappropriate service provider is
one of the most important one. The purpose of this paper is to
determine the important criteria and the weight of each criterion for
selecting the most appropriate service provider from potential
service providers in IT outsourcing projects. An information
technology application can facilitate the process of selecting
appropriate service provider. This research designs a DSS application
in order to solve this complicate decision.
2. Experimental - a fuzzy decision support system (DSS) was designed to select an appropriate
service provider for both IT outsourcing and IT offshore outsourcing: image 1. The questionnaire
was used for knowledge acquisition process and 32 expert’s knowledge was collected through
this way. Finally, the DSS was applied in an Iranian IT company in order to investigate its
validation
3. Results and Discussion – the experts opinion summarize the decision criteria of IT outsourcing
into the eight dimensions: Financial, Management, Resources, Quality, Commitment, adaptation
Image 1. The first window of DSS

[46]
level, Trust, and Ability. Moreover, the experts add environmental factors in offshore
outsourcing decisions. The designed DSS covers all dimensions and sub-criteria of each
dimension. The results in an IT company, confirmed the favorable performance of the system.
4. Conclusions - The use of this system has some benefits for organizations/companies such as
if a company/organization does not access the experts for selecting an appropriate service
provider, the DSS would help them. Also, using such DSSs provides the organizations/companies
success and advantages of the outsourcing projects. Designing and using similar systems for
provider selection in outsourcing processes in organizations or companies will decrease the
costs.
Scientific CV
Nadia Kalantari is Ph.D graduated of science and technology policy-making, with general
interests in information and communication technology policy making at Tarbiat Modares
University, Iran. She obtained her master degree in Information technology management with
orientation of Information Resources Management from Tarbiat Modares University in 2010.
Her major research interests include development of knowledge-based information systems,
evaluation of ICT sector’s innovation system and development policies of ICT. She has
managed and participated in more than 20 national projects in information and
communication technology fields and e-government. She now is a master expert in e-
government department of Management and Planning Organization of Iran.
Ali Shayan is the assistant profesor of Tarbiat Modares University in Iran. He took his Ph.D. in
science and technology policy-making at the University of Tarbiat Modares in 2014 with a
thesis on the impact of self-organized innovation networks on information technology firms
development. He is high researcher of Iran IMPSC (a center for research about management
and technology). He participates in many national and international research Project and
wrote more than 40 articles. He teaches in many universities since 2008. His research
interests mostly focus on the organizational applications of information technology and
science and technology policy-making.
Bayan Khosravi is a Ph.D. candidate in Information Technology
Management, with general interests in information technology for
development, at Allameh Tabataba’i University, Iran. Prior to joining Allameh
Tabataba’i, Bayan received her master, with the orientation of Information
Resources Management from Tarbiat Modares University. Her major
research interests revolve around socio-technical perspectives in strategy
making and designing e-services. She has also enjoyed managing and
participating in more than 10 national projects in e-commerce and e-
government fields in both forms of outsourcing and insourcing.

[47]
An Engineering-Friendly User Interface and Its Structure
Gokhan Kilic (1)
(1)
Dept. of Civil Engineering, Izmir University of Economics, Sakarya Cad. No:156, Balcova,
35330, Izmir, Turkey.
00 90 534 333 22 99 and gokhan.kilic@ieu.edu.tr; gkilic@hotmail.co.uk
Abstract:
Computers play a key role within the engineering discipline. Studies undertaken into the
implementation of computers by engineers has demonstrated that the user predominantly
focuses on the centre of the screen. Alongside this, periphery vision remains accessible and can
hold onto information that may be useful at some later point but is not of any vital importance
at that time. Illustrations of the application of this knowledge are found in software relating to
learning (CAL), designing (CAD) and engineering (CAE), making computer-aided teaching to
professional standards in these areas hugely significant. In particular, AutoCAD and FEM are
good examples of software that is applicable to multiple applications, as opposed to simply being
implemented for use in multiple instances but for broadly similar documentation. Substantial
market research has been undertaken into these software products and this paper presents
many of the outcomes of that research. Windows is used by a vast number of consumers from
beginners to experts and its use includes, and is applied to, a variety of uses. The computers
themselves can be touch screen or mouse controlled, whilst the screen can be of the VGA variety
or wide screen. Taken together, the frame / application amalgamation accommodates many
variations so as to offer the best possible experience for each scenario.
Key-Words: Interface, Multiple Document Interface, Polymorphism, User Interface, Dynamic
Link Library.

[48]
As far as my university education is concerned, I have acquired two undergraduate degrees from
Yildiz Technical University in Istanbul, one in Civil Engineering and the other in Computer
Science. Both degrees took four years to complete. I completed and passed these degrees
obtaining a very high average, equivalent to a first class honours degree. After my
undergraduate studies, I went on to undertake an MSc in Civil Engineering at the Yildiz Technical
University where I completed various modules more specifically in Geotechnology and
successfully passed all modules. My second MSc is in Civil Engineering, at University of
Portsmouth and I have completed many tests and conducted extensive research in this subject
area including Geotechnology and Structural Design. After my master degrees I have completed
my doctorate programme in Civil Engineering, at University of Greenwich which is concern
application of advance non-destructive testing methods on bridge health assessment and
analysis.
I have more eleven years relevant work experience in the academia and field of civil engineering.
I have worked as a researcher, contractor, and consultant in Turkey and the UK, both on site as
well as in the office.
I have been recently working for Izmir University of Economics as the Vice Dean and an Assistant
Professor full-time teaching and researcher. I have worked for University of Greenwich as a
Research Fellow and Black & Veatch as a Project Engineer and involved in the design and analysis
of various types and sizes of projects both in the UK and overseas and has acquired excellent
skills and knowledge in this field. I am an expert in the assessment, repair and maintenance of
structures, such as bridges and tunnels, and the applications of non-destructive testing methods
in civil engineering structures.

[49]
BRIDGE HEALTH MONITORING WITH A WIRELESS SENSOR
NETWORK SYSTEM
Gokhan Kilic (1)
(1)
Dept. of Civil Engineering, Izmir University of Economics, Sakarya Cad. No:156, Balcova,
35330, Izmir, Turkey.
00 90 534 333 22 99 and gokhan.kilic@ieu.edu.tr; gkilic@hotmail.co.uk
Abstract:
Structural Health Monitoring (SHM) is commonly implemented in assessing the health and
condition of structures such as bridges. Traditionally, the SHM of bridges has necessitated the
installation of wire sensors onto the structure, which feeds information to a data acquisition unit
located on the bridge. However, this study proposes the replacement of the traditional wire
sensors with wireless sensors to produce a Bridge Health Monitoring System (BHMS) which is
economical, convenient, and easily installed. Each wireless sensor uses a software translator
application connected to the monitoring server. This monitoring server system has the capacity
to connect and integrate with other such systems in a GSM LAN (Global System for Mobile
Communications) environment. The presented BHMS offers an assessment method that is
comprehensive, secure and mobile. For the purpose of validation, the results acquired via the
BHMS have been compared with results taken by accelerometer sensors.
Key-Words: Wireless Sensor Network; GSM-LAN based system; BHMS; Wavelet; Non-
destructive testing.

[50]
As far as my university education is concerned, I have acquired two undergraduate degrees from
Yildiz Technical University in Istanbul, one in Civil Engineering and the other in Computer
Science. Both degrees took four years to complete. I completed and passed these degrees
obtaining a very high average, equivalent to a first class honours degree. After my
undergraduate studies, I went on to undertake an MSc in Civil Engineering at the Yildiz Technical
University where I completed various modules more specifically in Geotechnology and
successfully passed all modules. My second MSc is in Civil Engineering, at University of
Portsmouth and I have completed many tests and conducted extensive research in this subject
area including Geotechnology and Structural Design. After my master degrees I have completed
my doctorate programme in Civil Engineering, at University of Greenwich which is concern
application of advance non-destructive testing methods on bridge health assessment and
analysis.
I have more eleven years relevant work experience in the academia and field of civil engineering.
I have worked as a researcher, contractor, and consultant in Turkey and the UK, both on site as
well as in the office.
I have been recently working for Izmir University of Economics as the Vice Dean and an Assistant
Professor full-time teaching and researcher. I have worked for University of Greenwich as a
Research Fellow and Black & Veatch as a Project Engineer and involved in the design and analysis
of various types and sizes of projects both in the UK and overseas and has acquired excellent
skills and knowledge in this field. I am an expert in the assessment, repair and maintenance of
structures, such as bridges and tunnels, and the applications of non-destructive testing methods
in civil engineering structures.

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