Abstract: Computacional recognition of sign languages aims to
allow a greater social and digital inclusion of deaf people through
interpretation of their language by computer. This article presents
a model of recognition of two of global parameters from sign
languages; hand configurations and hand movements. Hand motion
is captured through an infrared technology and its joints are built
into a virtual three-dimensional space. A Multilayer Perceptron
Neural Network (MLP) was used to classify hand configurations and
Dynamic Time Warping (DWT) recognizes hand motion. Beyond
of the method of sign recognition, we provide a dataset of
hand configurations and motion capture built with help of fluent
professionals in sign languages. Despite this technology can be
used to translate any sign from any signs dictionary, Brazilian
Sign Language (Libras) was used as case study. Finally, the model
presented in this paper achieved a recognition rate of 80.4%.
Abstract: The integration of agricultural production systems into urban areas is a challenge for the coming decades. Because of increasing greenhouse gas emission and rising resource consumption as well as costs in animal husbandry, the dietary habits of people in the 21st century have to focus on herbal foods. Intensive plant cultivation systems in large cities and megacities require a smart coupling of information, material and energy flow with the urban infrastructure in terms of Horticulture 4.0. In recent years, many puzzle pieces have been developed for these closed processes at the Humboldt University. To compile these for an urban plant production, it has to be optimized and networked with urban infrastructure systems. In the field of heat energy production, it was shown that with closed greenhouse technology and patented heat exchange and storage technology energy can be provided for heating and domestic hot water supply in the city. Closed water circuits can be drastically reducing the water requirements of plant production in urban areas. Ion sensitive sensors and new disinfection methods can help keep circulating nutrient solutions in the system for a longer time in urban plant production greenhouses.
Abstract: In Computational Fluid Dynamics (CFD), there are a variety of numerical methods, of which some depend on macroscopic model representatives. These models can be solved by finite-volume, finite-element or finite-difference methods on a microscopic description. However, the lattice Boltzmann method (LBM) is considered to be a mesoscopic particle method, with its scale lying between the macroscopic and microscopic scales. The LBM works well for solving incompressible flow problems, but certain limitations arise from solving compressible flows, particularly at high Mach numbers. An improved lattice Boltzmann model for compressible flow problems is presented in this research study. A higher-order Taylor series expansion of the Maxwell equilibrium distribution function is used to overcome limitations in LBM when solving high-Mach-number flows. Large eddy simulation (LES) is implemented in LBM to simulate turbulent jet flows. The results have been validated with available experimental data for turbulent compressible free jet flow at subsonic speeds.
Abstract: The challenge for everyone involved in preserving the ecosystem is to find creative ways to protect and restore the remaining ecosystems while accommodating and enhancing the country social and economic well-being. Frequent fires of anthropogenic origin have been affecting the ecosystems in many countries adversely. Hence adopting ways of decision making such as Multicriteria Decision Making (MCDM) is appropriate since it will enhance the evaluation and analysis of fire risk and hazard of the ecosystem. In this paper, fire risk and hazard data from the West Gonja area of Ghana were used in some of the methods (Analytical Hierarchy Process, Compromise Programming, and Grey Relational Analysis (GRA) for MCDM evaluation and analysis to determine the optimal weight method for fire risk and hazard. Ranking of the land cover types was carried out using; Fire Hazard, Fire Fighting Capacity and Response Risk Criteria. Pairwise comparison under Analytic Hierarchy Process (AHP) was used to determine the weight of the various criteria. Weights for sub-criteria were also obtained by the pairwise comparison method. The results were optimised using GRA and Compromise Programming (CP). The results from each method, hybrid GRA and CP, were compared and it was established that all methods were satisfactory in terms of optimisation of weight. The most optimal method for spatial multicriteria evaluation was the hybrid GRA method. Thus, a hybrid AHP and GRA method is more effective method for ranking alternatives in MCDM than the hybrid AHP and CP method.
Abstract: Worldwide and mainly in the European Union, many standards, regulations, models and systems exists for the evaluation and identification of stakeholders’ requirements of individual universities and higher education (HE) in general. All systems are targeting to measure or evaluate the Universities’ Quality Assurance Systems and the services offered to the recipients of HE, mainly the students. Numerous surveys were conducted in the past either by each university or by organized bodies to identify the students’ satisfaction or to evaluate to what extent these requirements are fulfilled. In this paper, the main results of an ongoing 6-year joint research will be presented very briefly. This research deals with an in depth investigation of student’s satisfaction, students personal requirements, a cup analysis among these two parameters and compares different universities. Through this research an attempt will be made to address four very important questions in higher education establishments (HEE): (1) Are there any common requirements, parameters, good practices or questions that apply to a large number of universities that will assure that students’ requirements are fulfilled? (2) Up to what extent the individual programs of HEE fulfil the requirements of the stakeholders? (3) Are there any similarities on specific programs among European HEE? (4) To what extent the knowledge acquired in a specific course program is utilized or used in a specific country? For the execution of the research an internationally accepted questionnaire(s) was used to evaluate up to what extent the students’ requirements and satisfaction were fulfilled in 2012 and five years later (2017). Samples of students and or universities were taken from many European Universities. The questionnaires used, the sampling method and methodology adopted, as well as the comparison tables and results will be very valuable to any university that is willing to follow the same route and methodology or compare the results with their own HHE. Apart from the unique methodology, valuable results are demonstrated from the four case studies. There is a great difference between the student’s expectations or importance from what they are getting from their universities (in all parameters they are getting less). When there is a crisis or budget cut in HEE there is a direct impact to students. There are many differences on subjects taught in European universities.
Abstract: In the course of recent decades, medical imaging has
been dominated by the use of costly film media for review and
archival of medical investigation, however due to developments in
networks technologies and common acceptance of a standard digital
imaging and communication in medicine (DICOM) another approach
in light of World Wide Web was produced. Web technologies
successfully used in telemedicine applications, the combination of
web technologies together with DICOM used to design a web-based
and open source DICOM viewer. The Web server allowance to
inquiry and recovery of images and the images viewed/manipulated
inside a Web browser without need for any preinstalling software.
The dynamic site page for medical images visualization and
processing created by using JavaScript and HTML5 advancements.
The XAMPP ‘apache server’ is used to create a local web server for
testing and deployment of the dynamic site. The web-based viewer
connected to multiples devices through local area network (LAN) to
distribute the images inside healthcare facilities. The system offers a
few focal points over ordinary picture archiving and communication
systems (PACS): easy to introduce, maintain and independently
platforms that allow images to display and manipulated efficiently,
the system also user-friendly and easy to integrate with an existing
system that have already been making use of web technologies. The
wavelet-based image compression technique on which 2-D discrete
wavelet transform used to decompose the image then wavelet
coefficients are transmitted by entropy encoding after threshold to
decrease transmission time, stockpiling cost and capacity. The
performance of compression was estimated by using images quality
metrics such as mean square error ‘MSE’, peak signal to noise ratio
‘PSNR’ and compression ratio ‘CR’ that achieved (83.86%) when
‘coif3’ wavelet filter is used.
Abstract: Eyes are considered to be the most sensitive and
important organ for human being. Thus, any eye disorder will affect
the patient in all aspects of life. Cataract is one of those eye disorders
that lead to blindness if not treated correctly and quickly. This paper
demonstrates a model for automatic detection, classification, and
grading of cataracts based on image processing techniques and
artificial intelligence. The proposed system is developed to ease the
cataract diagnosis process for both ophthalmologists and patients.
The wavelet transform combined with 2D Log Gabor Wavelet
transform was used as feature extraction techniques for a dataset of
120 eye images followed by a classification process that classified the
image set into three classes; normal, early, and advanced stage. A
comparison between the two used classifiers, the support vector
machine SVM and the artificial neural network ANN were done for
the same dataset of 120 eye images. It was concluded that SVM gave
better results than ANN. SVM success rate result was 96.8%
accuracy where ANN success rate result was 92.3% accuracy.
Abstract: The bond mechanism between timber and fibre
reinforced polymer (FRP) is relatively complex and is influenced by
a number of variables including bond thickness, bond width, bond
length, material properties, and geometries. This study investigates
the influence of bond thickness on the behaviour of interface, failure
mode, and bond strength of externally bonded FRP-to-timber
interface. In the present study, 106 single shear joint specimens have
been investigated. Experiment results showed that higher layers of
FRP increase the ultimate load carrying capacity of interface;
conversely, such increase led to decrease the slip of interface.
Moreover, samples with more layers of FRPs may fail in a brittle
manner without noticeable warning that collapse is imminent.
Abstract: Plant viruses can cause loss of yield and quality in a
lot of important crops. Symptoms of pathogens are variable
depending on the cultivars and virus strain. Selection of resistant
potato varieties would reduce the risk of virus transmission and
significant economic impact. Other way to avoid reduced harvest
yields is regular potato seed production sampling and testing for viral
infection. The aim of this study was to determine the occurrence and
distribution of viral diseases according potato cultivars for further
selection of virus-free material in Georgia. During the summer 2015-
2016, 5 potato cultivars (Sante, Laura, Jelly, Red Sonia, Anushka) at
5 different farms located in Akhalkalaki were tested for 6 different
potato viruses: Potato virus A (PVA), Potato virus M (PVM), Potato
virus S (PVS), Potato virus X (PVX), Potato virus Y (PVY) and
potato leaf roll virus (PLRV). A serological method, Double
Antibody Sandwich-Enzyme linked Immunosorbent Assay (DASELISA)
was used at the laboratory to analyze the results. The result
showed that PVY (21.4%) and PLRV (19.7%) virus presence in
collected samples was relatively high compared to others. Researched
potato cultivars except Jelly and Laura were infected by PVY with
different concentrations. PLRV was found only in three potato
cultivars (Sante, Jelly, Red Sonia) and PVM virus (3.12%) was
characterized with low prevalence. PVX, PVA and PVS virus
infection was not reported. It would be noted that 7.9% of samples
were containing PVY/PLRV mix infection. Based on the results it
can be concluded that PVY and PLRV infections are dominant in all
research cultivars. Therefore significant yield losses are expected.
Systematic, long-term control of potato viral infection, especially
seed-potatoes, must be regarded as the most important factor to
increase seed productivity.
Abstract: The quantum communication technology is an evolving
design which connects multiple quantum enabled devices to internet
for secret communication or sensitive information exchange. In
future, the number of these compact quantum enabled devices
will increase immensely making them an integral part of present
communication systems. Therefore, safety and security of such
devices is also a major concern for us. To ensure the customer
sensitive information will not be eavesdropped or deciphered, we
need a strong authentications and encryption mechanism. In this
paper, we propose a mutual authentication scheme between these
smart quantum devices and server based on the secure exchange of
information through quantum channel which gives better solutions
for symmetric key exchange issues. An important part of this
work is to propose a secure mutual authentication protocol over
the quantum channel. We show that our approach offers robust
authentication protocol and further our solution is lightweight,
scalable, cost-effective with optimized computational processing
overheads.
Abstract: Driven by the demand of intelligent monitoring in
rehabilitation centers or hospitals, a high accuracy real-time location
system based on UWB (ultra-wideband) technology was proposed.
The system measures precise location of a specific person, traces his
movement and visualizes his trajectory on the screen for doctors or
administrators. Therefore, doctors could view the position of the
patient at any time and find them immediately and exactly when
something emergent happens. In our design process, different
algorithms were discussed, and their errors were analyzed. In addition,
we discussed about a , simple but effective way of correcting the
antenna delay error, which turned out to be effective. By choosing the
best algorithm and correcting errors with corresponding methods, the
system attained a good accuracy. Experiments indicated that the
ranging error of the system is lower than 7 cm, the locating error is
lower than 20 cm, and the refresh rate exceeds 5 times per second. In
future works, by embedding the system in wearable IoT (Internet of
Things) devices, it could provide not only physical parameters, but
also the activity status of the patient, which would help doctors a lot in
performing healthcare.
Abstract: Flight Data Monitoring (FDM) program assists an
operator in aviation industries to identify, quantify, assess and
address operational safety risks, in order to improve safety of flight
operations. FDM is a powerful tool for an aircraft operator integrated
into the operator’s Safety Management System (SMS), allowing to
detect, confirm, and assess safety issues and to check the
effectiveness of corrective actions, associated with human errors.
This article proposes a model for safety risk assessment level of flight
data in a different aspect of event focus based on fuzzy set values. It
permits to evaluate the operational safety level from the point of view
of flight activities. The main advantages of this method are proposed
qualitative safety analysis of flight data. This research applies the
opinions of the aviation experts through a number of questionnaires
Related to flight data in four categories of occurrence that can take
place during an accident or an incident such as: Runway Excursions
(RE), Controlled Flight Into Terrain (CFIT), Mid-Air Collision
(MAC), Loss of Control in Flight (LOC-I). By weighting each one
(by F-TOPSIS) and applying it to the number of risks of the event,
the safety risk of each related events can be obtained.
Abstract: The main goal of this study is to test differential
neural network as a controller of smart structure and is to enumerate
its advantages and disadvantages in comparison with other
controllers. In this study, the smart structure has been considered as a
Euler Bernoulli cantilever beam and it has been tried that it be under
control with the use of vibration neural network resulting from
movement. Also, a linear observer has been considered as a reference
controller and has been compared its results. The considered
vibration charts and the controlled state have been recounted in the
final part of this text. The obtained result show that neural observer
has better performance in comparison to the implemented linear
observer.
Abstract: The remarkable growth and evolution in information
and communication technology (ICT) in the past few decades has
transformed modern society in almost every aspect of life. The
impact and application of ICT have been observed in almost all walks
of life including science, arts, business, health, management,
engineering, sports, and education. ICT in education is being used
extensively for student learning, creativity, interaction, and
knowledge sharing and as a valuable source of teaching instrument.
Apart from the student’s perspective, it plays a vital role for teacher
education, instructional methods and curriculum development. There
is a significant difference in growth of ICT enabled education in
developing countries compared to developed nations and according to
research, this gap is widening. ICT gradually infiltrate in almost
every aspect of life. It has a deep and profound impact on our social,
economic, health, environment, development, work, learning, and
education environments. ICT provides very effective and dominant
tools for information and knowledge processing. It is firmly believed
that the coming generation should be proficient and confident in the
use of ICT to cope with the existing international standards. This is
only possible if schools can provide basic ICT infrastructure to
students and to develop an ICT-integrated curriculum which covers
all aspects of learning and creativity in students. However, there is a
digital divide and steps must be taken to reduce this digital divide
considerably to have the profound impact of ICT in education all
around the globe. This study is based on theoretical approach and an
extensive literature review is being conducted to see the successful
implementations of ICT integration in education and to identify
technologies and models which have been used in education in
developed countries. This paper deals with the modern applications
of ICT in schools for both teachers and students to uplift the learning
and creativity amongst the students. A brief history of technology in
education is presented and discussed are some important ICT tools
for both student and teacher’s perspective. Basic ICT-based
infrastructure for academic institutions is presented. The overall
conclusion leads to the positive impact of ICT in education by
providing an interactive, collaborative and challenging environment
to students and teachers for knowledge sharing, learning and critical
thinking.
Abstract: In this paper, we try to address the topic of multiple
change management by adopting an engineered research
methodology, conducted within a Moroccan company during its
implementation of several change projects that aim at improving its
supply chain management performance. Firstly, we present the key
concepts related to our research, namely change management, multiproject
management and supply chain management. Then, we try to
assess how the change management and multi-project management
are applied in this company. Finally, we try to propose an approach
that will help managers in dealing with multiple change projects. This
approach proposes to integrate change management, project
management and multi-project management for managing change
projects according to three organizational levels: executive level,
project portfolio level and change project level.
Abstract: This paper presents a prediction performance of
feedforward Multilayer Perceptron (MLP) and Echo State Networks
(ESN) trained with extended Kalman filter. Feedforward neural
networks and ESN are powerful neural networks which can track and
predict nonlinear signals. However, their tracking performance
depends on the specific signals or data sets, having the risk of
instability accompanied by large error. In this study we explore this
process by applying different network size and leaking rate for
prediction of nonlinear or chaotic signals in MLP neural networks.
Major problems of ESN training such as the problem of initialization
of the network and improvement in the prediction performance are
tackled. The influence of coefficient of activation function in the
hidden layer and other key parameters are investigated by simulation
results. Extended Kalman filter is employed in order to improve the
sequential and regulation learning rate of the feedforward neural
networks. This training approach has vital features in the training of
the network when signals have chaotic or non-stationary sequential
pattern. Minimization of the variance in each step of the computation
and hence smoothing of tracking were obtained by examining the
results, indicating satisfactory tracking characteristics for certain
conditions. In addition, simulation results confirmed satisfactory
performance of both of the two neural networks with modified
parameterization in tracking of the nonlinear signals.
Abstract: In this work, we present an efficient approach for
solving variable-order time-fractional partial differential equations,
which are based on Legendre and Laguerre polynomials. First, we
introduced the pseudo-operational matrices of integer and variable
fractional order of integration by use of some properties of
Riemann-Liouville fractional integral. Then, applied together with
collocation method and Legendre-Laguerre functions for solving
variable-order time-fractional partial differential equations. Also, an
estimation of the error is presented. At last, we investigate numerical
examples which arise in physics to demonstrate the accuracy of the
present method. In comparison results obtained by the present method
with the exact solution and the other methods reveals that the method
is very effective.
Abstract: The objective of this paper is to discuss relevant points about teaching translation in Brazilian universities and the possible impacts of blogs and social networks to translator education today. It is intended to analyze the curricula of Brazilian translation courses, contrasting them to information obtained from two social networking groups of great visibility in the area concerning essential characteristics to become a successful profession. Therefore, research has, as its main corpus, a few undergraduate translation programs’ syllabuses, as well as a few postings on social networks groups that specifically share professional opinions regarding the necessity for a translator to obtain a degree in translation to practice the profession. To a certain extent, such comments and their corresponding responses lead to the propagation of discourses which influence the ideas that aspiring translators and recent graduates end up having towards themselves and their undergraduate courses. The postings also show that many professionals do not have a clear position regarding the translator education; while refuting it, they also encourage “free” courses. It is thus observed that cyberspace constitutes, on the one hand, a place of mobilization of people in defense of similar ideas. However, on the other hand, it embodies a place of tension and conflict, in view of the fact that there are many participants and, as in any other situation of interlocution, disagreements may arise. From the postings, aspects related to professionalism were analyzed (including discussions about regulation), as well as questions about the classic dichotomies: theory/practice; art/technique; self-education/academic training. As partial result, the common interest regarding the valorization of the profession could be mentioned, although there is no consensus on the essential characteristics to be a good translator. It was also possible to observe that the set of socially constructed representations in the group reflects characteristics of the world situation of the translation courses (especially in some European countries and in the United States), which, in the first instance, does not accurately reflect the Brazilian idiosyncrasies of the area.
Abstract: In the current research structural health
monitoring is considered for addressing the critical issue of
post-earthquake damage detection. A non-standard approach
for damage detection via acoustic emission is presented -
acoustic emissions are monitored in the low frequency range
(up to 120 Hz). Such emissions are termed high-frequency
transients. Further a damage indicator defined as the
Time-Ratio Damage Indicator is introduced. The indicator
relies on time-instance measurements of damage initiation and
deformation peaks. Based on the time-instance measurements
a procedure for estimation of the maximum drift ratio is
proposed. Monitoring data is used from a shaking-table test
of a full-scale reinforced concrete bridge pier. Damage of the
experimental column is successfully detected and the proposed
damage indicator is calculated.
Abstract: The development of Global Navigation Satellite System (GNSS) technology has led to increasingly widely and successful applications of GNSS surveys for monitoring crustal movements. Instead of the multi-period GNSS solutions, this study utilizes GNSS time series that are required to more precisely determine the vertical deformations in the study area. In recent years, the surface deformations that are parallel and semi-parallel to Bolvadin fault have occurred in Western Anatolia. These surface deformations have continued to occur in Bolvadin settlement area that is located mostly on alluvium ground. Due to these surface deformations, a number of cracks in the buildings located in the residential areas and breaks in underground water and sewage systems have been observed. In order to determine the amount of vertical surface deformations, two continuous GNSS stations have been established in the region. The stations have been operating since 2015 and 2017, respectively. In this study, GNSS observations from the mentioned two GNSS stations were processed with GAMIT/GLOBK (GNSS Analysis Massachusetts Institute of Technology/GLOBal Kalman) program package to create coordinate time series. With the time series analyses, the GNSS stations’ behaviour models (linear, periodical, etc.), the causes of these behaviours, and mathematical models were determined. The study results from the time series analysis of these two 2 GNSS stations show approximately 50-90 mm/yr vertical movement.