Abstract: The impact of Special Economic Zones (SEZs) has
been analyzed for many years by researchers. There are lot of
theoretical studies proving the SEZs importance for regional
development, however, there is lack of empirical studies (and they
are mainly focused on China market) that are based on available data.
The theoretical studies indicate the various impacts of enterprises
operating within SEZs on the economy. The article proves that, in
case of Poland, locating SEZs in municipalities is an important part
of increasing municipalities’ income. Therefore SEZs have a positive
impact on regional development. Municipality income is understood
as taxes paid by taxpayers who depend on SEZ companies’
performance. The analysis includes the Corporate Income Tax (CIT),
Personal Income Tax (PIT) and real estate tax. The effects of SEZs
on regional development were narrowed to a few variables that are
most significant for the financial system. The analysis indicates the
significant impact of SEZs on the amount of taxes influencing the
municipality budget.
Abstract: A new concept of response system is proposed for
filling the gap that exists in reducing vulnerability during immediate
response to natural disasters. Real Time Early Response Systems
(RTERSs) incorporate real time information as feedback data for
closing control loop and for generating real time situation assessment.
A review of the state of the art on works that fit the concept of
RTERS is presented, and it is found that they are mainly focused on
manmade disasters. At the same time, in response phase of natural
disaster management many works are involved in creating early
warning systems, but just few efforts have been put on deciding what
to do once an alarm is activated. In this context a RTERS arises as a
useful tool for supporting people in their decision making process
during natural disasters after an event is detected, and also as an
innovative context for applying well-known automation technologies
and automatic control concepts and tools.
Abstract: IEEE 802.11a/b/g standards provide multiple
transmission rates, which can be changed dynamically according to the
channel condition. Cooperative communications were introduced to
improve the overall performance of wireless LANs with the help of
relay nodes with higher transmission rates. The cooperative
communications are based on the fact that the transmission is much
faster when sending data packets to a destination node through a relay
node with higher transmission rate, rather than sending data directly to
the destination node at low transmission rate. To apply the cooperative
communications in wireless LAN, several MAC protocols have been
proposed. Some of them can result in collisions among relay nodes in a
dense network. In order to solve this problem, we propose a new
protocol. Relay nodes are grouped based on their transmission rates.
And then, relay nodes only in the highest group try to get channel
access. Performance evaluation is conducted using simulation, and
shows that the proposed protocol significantly outperforms the
previous protocol in terms of throughput and collision probability.
Abstract: The elastic period has a primary role in the seismic
assessment of buildings. Reliable calculations and/or estimates of the
fundamental frequency of a building and its site are essential during
analysis and design process. Various code formulas based on
empirical data are generally used to estimate the fundamental
frequency of a structure. For existing structures, in addition to code
formulas and available analytical tools such as modal analyses,
various methods of testing including ambient and forced vibration
testing procedures may be used to determine dynamic characteristics.
In this study, the dynamic properties of the 32 buildings located in
the Madinah of Saudi Arabia were identified using ambient motions
recorded at several, spatially-distributed locations within each
building. Ambient vibration measurements of buildings have been
analyzed and the fundamental longitudinal and transverse periods for
all tested buildings are presented. The fundamental mode of vibration
has been compared in plots with codes formulae (Saudi Building
Code, EC8, and UBC1997). The results indicate that measured
periods of existing buildings are shorter than that given by most
empirical code formulas. Recommendations are given based on the
common design and construction practice in Madinah city.
Abstract: Learning Management System (LMS) is the system
which uses to manage the learning in order to grouping the content
and learning activity between the lecturer and learner including
online examination and evaluation. Nowadays, it is the borderless
learning era so the learning activities can be accessed from
everywhere in the world and also anytime via the information
technology and media. The learner can easily access to the
knowledge so the different in time and distance is not a constraint for
learning anymore.
The learning pattern which was used in this research is the
integration of the in-class learning and online learning via internet
and will be able to monitor the progress by the Learning management
system which will create the fast response and accessible learning
process via the social media. In order to increase the capability and
freedom of the learner, the system can show the current and history
of the learning document, video conference and also has the chat
room for the learner and lecturer to interact to each other.
So the objectives of the “The Design and Applied of Learning
Management System via Social Media on Internet: Case Study of
Operating System for Business Subject” are to expand the
opportunity of learning and to increase the efficiency of learning as
well as increase the communication channel between lecturer and
student. The data of this research was collect from 30 users of the
system which are students who enroll in the subject. And the result of
the research is in the “Very Good” which is conformed to the
hypothesis.
Abstract: Livestock is one of the fastest-growing sectors in
agriculture. If carefully managed, have potential opportunities for
economic growth, food sovereignty and food security. In this study
we mainly analyse and compare long-term i.e. for year 2030 climate
variability impact on predicted productivity of meat i.e. beef, mutton
and poultry for the Kingdom of Saudi Arabia w.r.t three factors i.e. i)
climatic-change vulnerability ii) CO2 fertilization and iii) water
scarcity and compare the results with two countries of the region i.e.
Iraq and Yemen. We do the analysis using data from diverse sources,
which was extracted, transformed and integrated before usage. The
collective impact of the three factors had an overall negative effect on
the production of meat for all the three countries, with adverse impact
on Iraq. High similarity was found between CO2 fertilization
(effecting animal fodder) and water scarcity i.e. higher than that
between production of beef and mutton for the three countries
considered. Overall, the three factors do not seem to be favorable for
the three Middle-East countries considered. This points to possibility
of a vegetarian year 2030 based on dependency on indigenous livestock
population.
Abstract: There has been a significant decline in active travel
and a massive increase in the use of car dependent travel in many
countries during the past two decades. Evidential risks for people’s
physical and mental health problems are correlated with this
increased use of motorized travel. These health related problems
range from overweight and obesity to increased air pollution. In
response to these rising concerns health professionals, traffic planers,
local authorities and others have introduced a variety of initiatives to
counterbalance the dominance of cars for daily journeys.
However, the nature of travel behavior change interventions,
which aim to reduce car use, are very complex and challenging
regarding their interactions with human behavior. To change travel
behavior at least two aspects have to be taken into consideration.
First, how to alter attitudes and perceptions toward the sustainable
and healthy modes of travel, in competition with experiences of
private car use. And second, how to make these behavior change
processes irreversible and sustainable. There are no comprehensive
models available to guide policy interventions to increase the level of
success of travel behavior change interventions across both these
dimensions.
A comprehensive theoretical framework is required in the effort to
optimize how to facilitate and guide the processes of data collection
and analysis to achieve the best possible guidelines for policy
makers. Regarding the gaps in the travel behavior change research
literature, this paper attempted to identify and suggest a
multidimensional framework in order to facilitate planning the
implemented travel behavior change interventions. A structured
mixed-method model is suggested to improve the analytic power of
the results according to the complexity of human behavior.
In order to recognize people’s attitudes towards a specific travel
mode, the Theory of Planned Behavior (TPB) was operationalized.
But in order to capture decision making processes the Transtheoretical
model of Behavior Change (TTM) was also used.
Consequently, the combination of these two theories (TTM and TPB)
has resulted in a synthesis with appropriate concepts to identify and
design an implemented travel behavior change interventions.
Abstract: In review the generalized data about different methods
of synthesis of biological activity halogenated di-, tri- and tetrahydroxyanthraquinones
is presented. The basic regularity of a
synthesis is analyzed. Action of temperature, pH, solubility, catalysts
and other factors on a reaction product yield is revealed.
Abstract: This study aims to analyze ceramic employees’
occupational health and safety training expectations. To that general
objective, the study tries to examine whether occupational health and
safety training expectations of ceramic employees meaningfully
differentiate depending on demographic features and professional,
social and economic conditions. For this purpose, a questionnaire was
developed by the researcher. The research data were collected
through this questionnaire called “Questionnaire of Occupational
Health and Safety Training Expectation” (QSOHSTE). QSOHSTE
was applied to 125 ceramic employees working in Kütahya, Turkey.
Data obtained from questionnaire were analyzed via SPSS 21.
The findings, obtained from the study, revealed that employees’
agreement level to occupational health and safety training expectation
statements is generally high-level. The findings reveal that employees
expect professional interest such as increased development and
investment, preventive measures for accidents, interventions to
evaluate the working conditions, establishment of safe working
environments and sustainment of adequate equipment for
occupational health and safety training process.
Besides these findings, employees’ agreement level to
occupational health and safety training expectation statements also
varies in terms of educational level, professional seniority, income
level and perception of economic condition.
Abstract: This experimental study evaluates the effect of using
Cognitive-Behavioral Therapy (CBT) and Multidimensional Self-
Concept Model (MSCM) in a drug prevention programme to increase
resiliency and reduce aggression among at-risk youth in Malaysia. A
number of 60 (N=60) university students who were at-risk of taking
drugs were involved in this study. Participants were identified with
self-rating scales, Adolescent Resilience Attitude Scale (ARAS) and
Aggression Questionnaire. Based on the mean score of these
instruments, the participants were divided into the treatment group,
and the control group. Data were analyzed using t-test. The finding
showed that the mean score of resiliency was increased in the
treatment group compared to the control group. It also shows that the
mean score of aggression was reduced in the treatment group
compared to the control group. Drug Prevention Programme was
found to help in enhancing resiliency and reducing aggression among
participants in the treatment group compared to the controlled group.
Implications were given regarding the preventive actions on drug
abuse among youth in Malaysia.
Abstract: China is currently the world's largest producer and distributor of electric bicycle (e-bike). The increasing number of e-bikes on the road is accompanied by rising injuries and even deaths of e-bike drivers. Therefore, there is a growing need to improve the safety structure of e-bikes. This 3D frictionless contact analysis is a preliminary, but necessary work for further structural design improvement of an e-bike. The contact analysis between e-bike and the ground was carried out as follows: firstly, the Penalty method was illustrated and derived from the simplest spring-mass system. This is one of the most common methods to satisfy the frictionless contact case; secondly, ANSYS static analysis was carried out to verify finite element (FE) models with contact pair (without friction) between e-bike and the ground; finally, ANSYS transient analysis was used to obtain the data of the penetration p(u) of e-bike with respect to the ground. Results obtained from the simulation are as estimated by comparing with that from theoretical method. In the future, protective shell will be designed following the stability criteria and added to the frame of e-bike. Simulation of side falling of the improvedsafety structure of e-bike will be confirmed with experimental data.
Abstract: Employers occupational safety and health training
obligations are regulated in 89/391/EEC Framework Directive and
also in 6331 numbered Occupational Health and Safety Law in
Turkey.
The main objective of this research is to determine and evaluate
the employers’ occupational health and safety training obligations in
Framework Directive in comparison with the 6331 numbered
Occupational Health and Safety Law and to examine training
principles in Turkey. For this purpose, employers’ occupational
health and safety training obligations examined in Framework
Directive and Occupational Health and Safety Law. This study
carried out through comparative scanning model and literature model.
The research data were collected through European Agency and
ministry legislations.
As a result, employers’ occupational health and safety training
obligations in the 6331 numbered Occupational Health and Safety
Law are compatible with the 89/391/EEC numbered Framework
Directive and training principles are determined by in different ways
like the trained workers, training issues, training period, training time
and trainers. In this study, employers’ training obligations are
evaluated in detail.
Abstract: This study aims to investigate the possibility of crime
prevention through CCTV by analyzing the appropriateness of the
CCTV location, whether it is installed in the hotspot of crime-prone
areas, and exploring the crime prevention effect and transition effect.
The real crime and CCTV locations of case city were converted into
the spatial data by using GIS. The data was analyzed by hotspot
analysis and weighted displacement quotient (WDQ). As study
methods, it analyzed existing relevant studies for identifying the trends
of CCTV and crime studies based on big data from 1800 to 2014 and
understanding the relation between CCTV and crime. Second, it
investigated the current situation of nationwide CCTVs and analyzed
the guidelines of CCTV installation and operation to draw attention to
the problems and indicating points of CCTV use. Third, it investigated
the crime occurrence in case areas and the current situation of CCTV
installation in the spatial aspects, and analyzed the appropriateness and
effectiveness of CCTV installation to suggest a rational installation of
CCTV and the strategic direction of crime prevention. The results
demonstrate that there was no significant effect in the installation of
CCTV on crime prevention in the case area. This indicates that CCTV
should be installed and managed in a more scientific way reflecting
local crime situations. In terms of CCTV, the methods of spatial
analysis such as GIS, which can evaluate the installation effect, and the
methods of economic analysis like cost-benefit analysis should be
developed. In addition, these methods should be distributed to local
governments across the nation for the appropriate installation of
CCTV and operation. This study intended to find a design guideline of
the optimum CCTV installation. In this regard, this study is
meaningful in that it will contribute to the creation of a safe city.
Abstract: Development of a method to estimate gene functions is
an important task in bioinformatics. One of the approaches for the
annotation is the identification of the metabolic pathway that genes are
involved in. Since gene expression data reflect various intracellular
phenomena, those data are considered to be related with genes’
functions. However, it has been difficult to estimate the gene function
with high accuracy. It is considered that the low accuracy of the
estimation is caused by the difficulty of accurately measuring a gene
expression. Even though they are measured under the same condition,
the gene expressions will vary usually. In this study, we proposed a
feature extraction method focusing on the variability of gene
expressions to estimate the genes' metabolic pathway accurately. First,
we estimated the distribution of each gene expression from replicate
data. Next, we calculated the similarity between all gene pairs by KL
divergence, which is a method for calculating the similarity between
distributions. Finally, we utilized the similarity vectors as feature
vectors and trained the multiclass SVM for identifying the genes'
metabolic pathway. To evaluate our developed method, we applied the
method to budding yeast and trained the multiclass SVM for
identifying the seven metabolic pathways. As a result, the accuracy
that calculated by our developed method was higher than the one that
calculated from the raw gene expression data. Thus, our developed
method combined with KL divergence is useful for identifying the
genes' metabolic pathway.
Abstract: The Cone Penetration Test (CPT) is a common in-situ
test which generally investigates a much greater volume of soil more
quickly than possible from sampling and laboratory tests. Therefore,
it has the potential to realize both cost savings and assessment of soil
properties rapidly and continuously. The principle objective of this
paper is to demonstrate the feasibility and efficiency of using
artificial neural networks (ANNs) to predict the soil angle of internal
friction (Φ) and the soil modulus of elasticity (E) from CPT results
considering the uncertainties and non-linearities of the soil. In
addition, ANNs are used to study the influence of different
parameters and recommend which parameters should be included as
input parameters to improve the prediction. Neural networks discover
relationships in the input data sets through the iterative presentation
of the data and intrinsic mapping characteristics of neural topologies.
General Regression Neural Network (GRNN) is one of the powerful
neural network architectures which is utilized in this study. A large
amount of field and experimental data including CPT results, plate
load tests, direct shear box, grain size distribution and calculated data
of overburden pressure was obtained from a large project in the
United Arab Emirates. This data was used for the training and the
validation of the neural network. A comparison was made between
the obtained results from the ANN's approach, and some common
traditional correlations that predict Φ and E from CPT results with
respect to the actual results of the collected data. The results show
that the ANN is a very powerful tool. Very good agreement was
obtained between estimated results from ANN and actual measured
results with comparison to other correlations available in the
literature. The study recommends some easily available parameters
that should be included in the estimation of the soil properties to
improve the prediction models. It is shown that the use of friction
ration in the estimation of Φ and the use of fines content in the
estimation of E considerable improve the prediction models.
Abstract: Human leukocyte antigen (HLA) typing from next
generation sequencing (NGS) data has the potential for applications in
clinical laboratories and population genetic studies. Here we introduce
a novel technique for HLA typing from NGS data based on
read-mapping using a comprehensive reference panel containing all
known HLA alleles and de novo assembly of the gene-specific short
reads. An accurate HLA typing at high-digit resolution was achieved
when it was tested on publicly available NGS data, outperforming
other newly-developed tools such as HLAminer and PHLAT.
Abstract: Experimental & numeral study of temperature
distribution during milling process, is important in milling quality
and tools life aspects. In the present study the milling cross-section
temperature is determined by using Artificial Neural Networks
(ANN) according to the temperature of certain points of the work
piece and the point specifications and the milling rotational speed of
the blade. In the present work, at first three-dimensional model of the
work piece is provided and then by using the Computational Heat
Transfer (CHT) simulations, temperature in different nods of the
work piece are specified in steady-state conditions. Results obtained
from CHT are used for training and testing the ANN approach. Using
reverse engineering and setting the desired x, y, z and the milling
rotational speed of the blade as input data to the network, the milling
surface temperature determined by neural network is presented as
output data. The desired points temperature for different milling
blade rotational speed are obtained experimentally and by
extrapolation method for the milling surface temperature is obtained
and a comparison is performed among the soft programming ANN,
CHT results and experimental data and it is observed that ANN soft
programming code can be used more efficiently to determine the
temperature in a milling process.
Abstract: The detection of the polymer melt state during
manufacture process is regarded as an efficient way to control the
molded part quality in advance. Online monitoring rheological
property of polymer melt during processing procedure provides an
approach to understand the melt state immediately. Rheological
property reflects the polymer melt state at different processing
parameters and is very important in injection molding process
especially. An approach that demonstrates how to calculate
rheological property of polymer melt through in-process
measurement, using injection molding as an example, is proposed in
this study. The system consists of two sensors and a data acquisition
module can process the measured data, which are used for the
calculation of rheological properties of polymer melt. The rheological
properties of polymer melt discussed in this study include shear rate
and viscosity which are investigated with respect to injection speed
and melt temperature. The results show that the effect of injection
speed on the rheological properties is apparent, especially for high
melt temperature and should be considered for precision molding
process.
Abstract: The ultrasound imaging is very popular to diagnosis
the disease because of its non-invasive nature. The ultrasound
imaging slowly produces low quality images due to the presence of
spackle noise and wave interferences. There are several algorithms to
be proposed for the segmentation of ultrasound carotid artery images
but it requires a certain limit of user interaction. The pixel in an
image is highly correlated so the spatial information of surrounding
pixels may be considered in the process of image segmentation which
improves the results further. When data is highly correlated, one pixel
may belong to more than one cluster with different degree of
membership. There is an important step to computerize the evaluation
of arterial disease severity using segmentation of carotid artery lumen
in 2D and 3D ultrasonography and in finding vulnerable
atherosclerotic plaques susceptible to rupture which can cause stroke.
Abstract: The goal of image segmentation is to cluster pixels
into salient image regions. Segmentation could be used for object
recognition, occlusion boundary estimation within motion or stereo
systems, image compression, image editing, or image database lookup.
In this paper, we present a color image segmentation using
support vector machine (SVM) pixel classification. Firstly, the pixel
level color and texture features of the image are extracted and they
are used as input to the SVM classifier. These features are extracted
using the homogeneity model and Gabor Filter. With the extracted
pixel level features, the SVM Classifier is trained by using FCM
(Fuzzy C-Means).The image segmentation takes the advantage of
both the pixel level information of the image and also the ability of
the SVM Classifier. The Experiments show that the proposed method
has a very good segmentation result and a better efficiency, increases
the quality of the image segmentation compared with the other
segmentation methods proposed in the literature.