Abstract: This study suggests the estimation method of stress
distribution for the beam structures based on TLS (Terrestrial Laser
Scanning). The main components of method are the creation of the
lattices of raw data from TLS to satisfy the suitable condition and
application of CSSI (Cubic Smoothing Spline Interpolation) for
estimating stress distribution. Estimation of stress distribution for the
structural member or the whole structure is one of the important
factors for safety evaluation of the structure. Existing sensors which
include ESG (Electric strain gauge) and LVDT (Linear Variable
Differential Transformer) can be categorized as contact type sensor
which should be installed on the structural members and also there are
various limitations such as the need of separate space where the
network cables are installed and the difficulty of access for sensor
installation in real buildings. To overcome these problems inherent in
the contact type sensors, TLS system of LiDAR (light detection and
ranging), which can measure the displacement of a target in a long
range without the influence of surrounding environment and also get
the whole shape of the structure, has been applied to the field of
structural health monitoring. The important characteristic of TLS
measuring is a formation of point clouds which has many points
including the local coordinate. Point clouds are not linear distribution
but dispersed shape. Thus, to analyze point clouds, the interpolation is
needed vitally. Through formation of averaged lattices and CSSI for
the raw data, the method which can estimate the displacement of
simple beam was developed. Also, the developed method can be
extended to calculate the strain and finally applicable to estimate a
stress distribution of a structural member. To verify the validity of the
method, the loading test on a simple beam was conducted and TLS
measured it. Through a comparison of the estimated stress and
reference stress, the validity of the method is confirmed.
Abstract: The main objective of this study was to assess the
seasonal variation of atmospheric polycyclic aromatic hydrocarbon
(PAH) concentrations associated with PM10 in an urban site of Győr,
Hungary. A total of 112 PM10 aerosol samples were collected in the
years of 2012 and 2013 and analyzed for PAHs by gas
chromatography method. The total PAH concentrations (sum of the
concentrations of 19 individual PAH compounds) ranged from 0.19
to 70.16 ng/m3 with the mean value of 12.29 ng/m3. Higher
concentrations of both total PAHs and benzo[a]pyrene (BaP) were
detected in samples collected in the heating seasons. Using BaPequivalent
potency index on the carcinogenic PAH concentration
data, the local population appears to be exposed to significantly
higher cancer risk in the heating seasons. However, the comparison
of the BaP and total PAH concentrations observed for Győr with
other cities it was found that the PAH levels in Győr generally
corresponded to the EU average.
Abstract: Breast cancer is in the top rate of cancer. We analyzed
the prevalence of obesity and its association with breast cancer and
finally we reviewed 25 article that 320 patient and 320 control which
enrolled to our study. The distribution of breast cancer patients and
controls with respect to their anthropometric indices in patients with
higher weight, which was statistically significant (60.2 ± 10.2 kg)
compared with control group (56.1 ± 11.3 kg). The body mass index
of patients was (26.06+/-3.42) and significantly higher than the
control group (24.1+/-1.7). Obesity leads to increased levels of
adipose tissue in the body that can be stored toxins and carcinogens
to produce a continuous supply. Due to the high level of fat and the
role of estrogen in a woman which is endogenous estrogen of the
tumor and regulates the activities of growth steroids, obesity has
confirmed as a risk factor for breast cancer. Our study and other
studies have shown that obesity is a risk factor for breast cancer. And
it can be prevented with a weight loss intervention for breast cancer
in the future.
Abstract: This study conducts simulation analyses to find the
optimal debt ceiling of Taiwan, while factoring in welfare
maximization under a dynamic stochastic general equilibrium
framework. The simulation is based on Taiwan's 2001 to 2011
economic data and shows that welfare is maximized at a debt/GDP
ratio of 0.2, increases in the debt/GDP ratio leads to increases in both
tax and interest rates and decreases in the consumption ratio and
working hours. The study results indicate that the optimal debt ceiling
of Taiwan is 20% of GDP, where if the debt/GDP ratio is greater than
40%, the welfare will be negative and result in welfare loss.
Abstract: A new fast growing trend in tourism is ecotourism, in
which tourists visit natural ecosystems under low impact, nonconsumptive
and locally oriented activities. Through these activities
species and habitats are maintained and typically, underdeveloped
regions are emphasized. Ecotourism provides a great alternative,
especially for rural and undeveloped area. At the same time, despite
its many benefits, it also poses many risks for the naturally protected
areas. If ecotourism is practiced improperly degradation and
irreversible damages could be the unwanted result. In addition, the
lack of MSc programs in the field of Ecotourism in Europe makes it a
necessity to be developed. Such an MSc program is being
implemented with the lead partner the Technical University of
Madrid. The entire partnership has six Universities, seven SMEs and
one National Park from seven different countries all over Europe.
The MSc will have 10 educational modules that will be available
online and will prepare professionals that will be able to implement
ecotourism in a sustainable way. Only through awareness and
education a sustainable ecotourism will be achieved in the protected
areas of Europe.
Abstract: In this paper, an experiment was conducted to assess
the impact of online deliberation on citizens’ attitudes. Specifically,
this research compared pre and post deliberation opinions of
participants who deliberated online via an asynchronous platform
regarding the issue of political opinion polls. Results indicate that
online deliberation had a positive effect on citizens’ attitudes since it
was found that following deliberation participants changed their
views regarding public opinion polls. Specifically, online deliberation
improved discussants perceptions regarding the reliability of polls,
while suppressing their negative views about the misuse of polls by
media, polling organizations and politicians.
Abstract: Cemented carbides, owing to their excellent
mechanical properties, have been of immense interest in the field of
hard materials for the past few decades. A number of processing
techniques have been developed to obtain high quality carbide tools,
with a wide range of grain size depending on the application and
requirements. Microwave sintering is one of the heating processes,
which has been used to prepare a wide range of materials including
ceramics. A deep understanding of microwave sintering and its
contribution towards control of grain growth and on deformation of
the resulting carbide materials requires further studies and attention.
In addition, the effect of binder materials and their behavior during
microwave sintering is another area that requires clear understanding.
This review aims to focus on microwave sintering, providing
information of how the process works and what type of materials it is
best suited for. In addition, a closer look at some microwave sintered
Tungsten Carbide-Cobalt samples will be taken and discussed,
highlighting some of the key issues and challenges faced in this
research area.
Abstract: It is a major challenge to build a bridge superstructure
that has long-term durability and low maintenance requirements. A
solution to this challenge may be to use new materials or to
implement new structural systems. Fiber Reinforced Polymer (FRP)
composites have continued to play an important role in solving some
of persistent problems in infrastructure applications because of its
high specific strength, light weight, and durability. In this study, the
concept of the hybrid FRP-concrete structural systems is applied to a
bridge superstructure. The hybrid FRP-concrete bridge superstructure
is intended to have durable, structurally sound, and cost effective
hybrid system that will take full advantage of the inherent properties
of both FRP materials and concrete. In this study, two hybrid FRP-concrete
bridge systems were investigated. The first system consists
of trapezoidal cell units forming a bridge superstructure. The second
one is formed by arch cells. The two systems rely on using cellular
components to form the core of the bridge superstructure, and an
outer shell to warp around those cells to form the integral unit of the
bridge. Both systems were investigated analytically by using finite
element (FE) analysis. From the rigorous FE studies, it was
concluded that first system is more efficient than the second.
Abstract: The main objective of this study was to determine the
effects of Nitrogen fixing bacteria and manure application on the seed
yield and yield components in black cumin (Nigella sativa L.). The
experiment was carried out at the RAN Research Station in
Firouzkouh in 2012. A 4×4 factorial experiment, arranged in a
randomized complete blocks designed with three replications.
Nitrogen fixing bacteria at 4 levels (control, Azotobacter,
Azospirillum and Azotobacter + Azospirillum) and manure
application at 4 levels (0, 2.5, 5 and 7.5 ton ha-1) were used at this
investigation. The present results have shown that the highest height,
1000 seeds weight, seed number per follicle, follicle yield, seed yield
and harvest index were obtained after using Azotobacter and
Azospirillum, simultaneously. Manure application only effects on
follicle yield and by 5ton manure ha-1 the highest follicle yield
obtained. Results of this investigation showed that the maximum seed
yield obtained when Aotobacter+Azospirillum inoculated with black
cumin seeds and 5 ton manure ha-1 applied. According to the results
of this investigation the integrated management of Azotobacter and
Azospirillum with manure application is the best treatment for
achieving the maximum quantitative charactersitics of Black cumin.
Abstract: In this study, one dimensional phase change problem
(a Stefan problem) is considered and a numerical solution of this
problem is discussed. First, we use similarity transformation to
convert the governing equations into ordinary differential equations
with its boundary conditions. The solutions of ordinary differential
equation with the associated boundary conditions and interface
condition (Stefan condition) are obtained by using a numerical
approach based on operational matrix of differentiation of shifted
second kind Chebyshev wavelets. The obtained results are compared
with existing exact solution which is sufficiently accurate.
Abstract: The paper provides a comprehensive analysis of the
sustainable development in the Belgrade Metropolitan Region - BMA
(level NUTS 2) preliminary evaluating the three chosen components:
1) economic growth and developmental changes; 2) competitiveness;
and 3) territorial concentration and industrial specialization. First, we
identified the main results of development changes and economic
growth by applying Shift-share analysis on the metropolitan level.
Second, the empirical evaluation of competitiveness in the BMA is
based on the analysis of absolute and relative values of eight
indicators by Spider method. Paper shows that the consideration of
the national share, industrial mix and metropolitan/regional share in
total Shift share of the BMA, as well as economic/functional
specialization of the BMA indicate very strong process of
deindustrialization. Allocative component of the BMA economic
growth has positive value, reflecting the above-average sector
productivity compared to the national average. Third, the important
positive role of metropolitan/regional component in decomposition of
the BMA economic growth is highlighted as one of the key results.
Finally, comparative analysis of the industrial territorial
concentration in the BMA in relation to Serbia is based on location
quotient (LQ) or Balassa index as a valid measure. The results
indicate absolute and relative differences in decrease of industry
territorial concentration as well as inefficiency of utilizing territorial
capital in the BMA. Results are important for the increase of regional
competitiveness and territorial distribution in this area as well as for
improvement of sustainable metropolitan and sector policies,
planning and governance on this level.
Abstract: There have been rigorous research and development
of unmanned aerial vehicles in the field of search and rescue (SAR)
operation recently. UAVs reduce unnecessary human risks while
assisting rescue efforts through aerial imagery, topographic mapping
and emergency delivery. The application of UAVs in offshore and
nearshore marine SAR missions is discussed in this paper. Projects
that integrate UAV technology into their systems are introduced to
highlight the great advantages and capabilities of UAVs. Scenarios
where UAVs could provide invaluable assistance are also suggested.
Abstract: An Acoustic Micro-Energy Harvester (AMEH) is
developed to convert wasted acoustical energy into useful electrical
energy. AMEH is mathematically modeled using Lumped Element
Modelling (LEM) and Euler-Bernoulli beam (EBB) modelling. An
experiment is designed to validate the mathematical model and assess
the feasibility of AMEH. Comparison of theoretical and experimental
data on critical parameter value such as Mm, Cms, dm and Ceb showed
the variances are within 1% to 6%, which is reasonably acceptable.
Then, AMEH undergoes bandwidth tuning for performance
optimization. The AMEH successfully produces 0.9V/(m/s^2) and
1.79μW/(m^2/s^4) at 60Hz and 400kΩ resistive load which only
show variances about 7% compared to theoretical data. At 1g and
60Hz resonance frequency, the averaged power output is about
2.2mW which fulfilled a range of wireless sensors and
communication peripherals power requirements. Finally, the design
for AMEH is assessed, validated and deemed as a feasible design.
Abstract: Based on Business and Consumer Survey (BCS) data,
the European Commission (EC) regularly publishes the monthly
Economic Sentiment Indicator (ESI) for each EU member state. ESI
is conceptualized as a leading indicator, aimed ad tracking the overall
economic activity. In calculating ESI, the EC employs arbitrarily
chosen weights on 15 BCS response balances. This paper raises the
predictive quality of ESI by applying nonlinear programming to find
such weights that maximize the correlation coefficient of ESI and
year-on-year GDP growth. The obtained results show that the highest
weights are assigned to the response balances of industrial sector
questions, followed by questions from the retail trade sector. This
comes as no surprise since the existing literature shows that the
industrial production is a plausible proxy for the overall Croatian
economic activity and since Croatian GDP is largely influenced by
the aggregate personal consumption.
Abstract: Elastomeric polymer foam has been used widely in
the automotive industry, especially for isolating unwanted vibrations.
Such material is able to absorb unwanted vibration due to its
combination of elastic and viscous properties. However, the ‘creep
effect’, poor stress distribution and susceptibility to high
temperatures are the main disadvantages of such a system.
In this study, improvements in the performance of elastomeric
foam as a vibration isolator were investigated using the concept of
Foam Filled Fluid (FFFluid). In FFFluid devices, the foam takes the
form of capsule shapes, and is mixed with viscous fluid, while the
mixture is contained in a closed vessel. When the FFFluid isolator is
affected by vibrations, energy is absorbed, due to the elastic strain of
the foam. As the foam is compressed, there is also movement of the
fluid, which contributes to further energy absorption as the fluid
shears. Also, and dependent on the design adopted, the packaging
could also attenuate vibration through energy absorption via friction
and/or elastic strain.
The present study focuses on the advantages of the FFFluid
concept over the dry polymeric foam in the role of vibration isolation.
This comparative study between the performance of dry foam and the
FFFluid was made according to experimental procedures. The paper
concludes by evaluating the performance of the FFFluid isolator in
the suspension system of a light vehicle. One outcome of this
research is that the FFFluid may preferable over elastomer isolators
in certain applications, as it enables a reduction in the effects of high
temperatures and of ‘creep effects’, thereby increasing the reliability
and load distribution. The stiffness coefficient of the system has
increased about 60% by using an FFFluid sample. The technology
represented by the FFFluid is therefore considered by this research
suitable for application in the suspension system of a light vehicle.
Abstract: The literature on language teaching and second
language acquisition has been largely driven by monolingual
ideology with a common assumption that a second language (L2) is
best taught and learned in the L2 only. The current study challenges
this assumption by reporting learners' positive perceptions of tertiary
level teachers' code switching practices in Vietnam. The findings of
this study contribute to our understanding of code switching practices
in language classrooms from a learners' perspective.
Data were collected from student participants who were working
towards a Bachelor degree in English within the English for Business
Communication stream through the use of focus group interviews.
The literature has documented that this method of interviewing has a
number of distinct advantages over individual student interviews. For
instance, group interactions generated by focus groups create a more
natural environment than that of an individual interview because they
include a range of communicative processes in which each individual
may influence or be influenced by others - as they are in their real
life. The process of interaction provides the opportunity to obtain the
meanings and answers to a problem that are "socially constructed
rather than individually created" leading to the capture of real-life
data. The distinct feature of group interaction offered by this
technique makes it a powerful means of obtaining deeper and richer
data than those from individual interviews. The data generated
through this study were analysed using a constant comparative
approach. Overall, the students expressed positive views of this
practice indicating that it is a useful teaching strategy. Teacher code
switching was seen as a learning resource and a source supporting
language output. This practice was perceived to promote student
comprehension and to aid the learning of content and target language
knowledge. This practice was also believed to scaffold the students'
language production in different contexts. However, the students
indicated their preference for teacher code switching to be
constrained, as extensive use was believed to negatively impact on
their L2 learning and trigger cognitive reliance on the L1 for L2
learning. The students also perceived that when the L1 was used to a
great extent, their ability to develop as autonomous learners was
negatively impacted.
This study found that teacher code switching was supported in
certain contexts by learners, thus suggesting that there is a need for
the widespread assumption about the monolingual teaching approach
to be re-considered.
Abstract: Ant Colony Optimization (ACO) is a promising
modern approach to the unused combinatorial optimization. Here
ACO is applied to finding the shortest during communication link
failure. In this paper, the performances of the prim’s and ACO
algorithm are made. By comparing the time complexity and program
execution time as set of parameters, we demonstrate the pleasant
performance of ACO in finding excellent solution to finding shortest
path during communication link failure.
Abstract: Waste Load Allocation (WLA) strategies usually
intend to find economic policies for water resource management.
Water quality trading (WQT) is an approach that uses discharge
permit market to reduce total environmental protection costs. This
primarily requires assigning discharge limits known as total
maximum daily loads (TMDLs). These are determined by monitoring
organizations with respect to the receiving water quality and
remediation capabilities. The purpose of this study is to compare two
approaches of TMDL assignment for WQT policy in small catchment
area of Haraz River, in north of Iran. At first, TMDLs are assigned
uniformly for the whole point sources to keep the concentrations of
BOD and dissolved oxygen (DO) at the standard level at checkpoint
(terminus point). This was simply simulated and controlled by
Qual2kw software. In the second scenario, TMDLs are assigned
using multi objective particle swarm optimization (MOPSO) method
in which the environmental violation at river basin and total treatment
costs are minimized simultaneously. In both scenarios, the equity
index and the WLA based on trading discharge permits (TDP) are
calculated. The comparative results showed that using economically
optimized TMDLs (2nd scenario) has slightly more cost savings rather
than uniform TMDL approach (1st scenario). The former annually
costs about 1 M$ while the latter is 1.15 M$. WQT can decrease
these annual costs to 0.9 and 1.1 M$, respectively. In other word,
these approaches may save 35 and 45% economically in comparison
with command and control policy. It means that using multi objective
decision support systems (DSS) may find more economical WLA,
however its outcome is not necessarily significant in comparison with
uniform TMDLs. This may be due to the similar impact factors of
dischargers in small catchments. Conversely, using uniform TMDLs
for WQT brings more equity that makes stakeholders not feel that
much envious of difference between TMDL and WQT allocation. In
addition, for this case, determination of TMDLs uniformly would be
much easier for monitoring. Consequently, uniform TMDL for TDP
market is recommended as a sustainable approach. However,
economical TMDLs can be used for larger watersheds.
Abstract: Due to the resultant leachate from waste
decomposition in landfills has polluter potential hundred times
greater than domestic sewage, this is considered a problem related to
the depreciation of environment requiring pre-disposal treatment.In
seeking to improve this situation, this project proposes the treatment
of landfill leachate using natural fibers intercropped with advanced
oxidation processes. The selected natural fibers were palm, coconut
and banana fiber.These materials give sustainability to the project
because, besides having adsorbent capacity, are often part of waste
discarded. The study was conducted in laboratory scale.In trials, the
effluents were characterized as Chemical Oxygen Demand (COD),
Turbidity and Color. The results indicate that is technically
promising since that there were extremely oxidative conditions, the
use of certain natural fibers in the reduction of pollutants in leachate
have been obtained results of COD removals between 67.9% and
90.9%, Turbidity between 88.0% and 99.7% and Color between
67.4% and 90.4%.The expectation generated is to continue evaluating
the association of efficiency of other natural fibers with other landfill
leachate treatment processes.
Abstract: Several parameters are established in order to measure
biodiesel quality. One of them is the iodine value, which is an
important parameter that measures the total unsaturation within a
mixture of fatty acids. Limitation of unsaturated fatty acids is
necessary since warming of higher quantity of these ones ends in
either formation of deposits inside the motor or damage of lubricant.
Determination of iodine value by official procedure tends to be very
laborious, with high costs and toxicity of the reagents, this study uses
artificial neural network (ANN) in order to predict the iodine value
property as an alternative to these problems. The methodology of
development of networks used 13 esters of fatty acids in the input
with convergence algorithms of back propagation of back
propagation type were optimized in order to get an architecture of
prediction of iodine value. This study allowed us to demonstrate the
neural networks’ ability to learn the correlation between biodiesel
quality properties, in this caseiodine value, and the molecular
structures that make it up. The model developed in the study reached
a correlation coefficient (R) of 0.99 for both network validation and
network simulation, with Levenberg-Maquardt algorithm.