Abstract: The objective of this work is to study the effect of two
key factors - external magnetic field and applied current density
during template-based electrodeposition of nickel nanowires using an
electrode distance of 20 mm. Morphology, length, crystallite size and
crystallographic characterization of the grown nickel nanowires at an
electrode distance of 20mm are presented. For this electrode distance
of 20 mm, these two key electrodeposition factors when coupled was
found to reduce crystallite size with a higher growth length and
preferred orientation of Ni crystals. These observed changes can be
inferred to be due to coupled interaction forces induced by the
intensity of applied electric field (current density) and external
magnetic field known as magnetohydrodynamic (MHD) effect during
the electrodeposition process.
Abstract: Long Distance Truck Drivers (LDTDs) have been
found to be a high risk group in the spread of HIV/AIDS globally;
perhaps, due to their high Sexual Risk Behaviours (SRBs).
Interventions for reducing SRBs in trucking population have not been
fully exploited. A quasi-experimental control group pretest-posttest
design was used to assess the efficacy of psycho-education and
behavioural skills training in reducing SRBs among LDTDs. Sixteen
drivers rivers were randomly assigned into either experimental or
control groups using balloting technique. Questionnaire was used as
an instrument for data collection. Repeated measures t-test and
independent t-test were used to test hypotheses. Intervention had
significant effect on the SRBs among LDTDs at post-test (t{7}=
6.01, p
Abstract: Groundwater inflow to the tunnels is one of the most
important problems in tunneling operation. The objective of this
study is the investigation of model dimension effects on tunnel inflow
assessment in discontinuous rock masses using numerical modeling.
In the numerical simulation, the model dimension has an important
role in prediction of water inflow rate. When the model dimension is
very small, due to low distance to the tunnel border, the model
boundary conditions affect the estimated amount of groundwater flow
into the tunnel and results show a very high inflow to tunnel. Hence,
in this study, the two-dimensional universal distinct element code
(UDEC) used and the impact of different model parameters, such as
tunnel radius, joint spacing, horizontal and vertical model domain
extent has been evaluated. Results show that the model domain extent
is a function of the most significant parameters, which are tunnel
radius and joint spacing.
Abstract: In urban context, urban nodes such as amenity or
hazard will certainly affect house price, while classic hedonic analysis
will employ distance variables measured from each urban nodes.
However, effects from distances to facilities on house prices generally
do not represent the true price of the property. Distance variables
measured on the same surface are suffering a problem called
multicollinearity, which is usually presented as magnitude variance
and mean value in regression, errors caused by instability. In this paper,
we provided a theoretical framework to identify and gather the data
with less bias, and also provided specific sampling method on locating
the sample region to avoid the spatial multicollinerity problem in three
distance variable’s case.
Abstract: Beta-glucosidase, chitinase, leucine-aminopeptidase, acid phosphomonoesterase and acetate-esterase enzyme activities in
the soils under the impact of metallurgical industrial activity in Lori
marz (district) were investigated. The results of the study showed that
the activities of the investigated enzymes in the soils decreased with increasing distance from the Shamlugh copper mine, the Chochkan
tailings storage facility and the ore transportation road. Statistical
analysis revealed that the activities of the enzymes were positively
correlated (significant) to each other according to the observation
sites which indicated that enzyme activities were affected by the
same anthropogenic factor. The investigations showed that the soils
were polluted with heavy metals (Cu, Pb, As, Co, Ni, Zn) due to
copper mining activity in this territory. The results of Pearson
correlation analysis revealed a significant negative correlation
between heavy metal pollution degree (Nemerow integrated pollution
index) and soil enzyme activity. All of this indicated that copper
mining activity in this territory causing the heavy metal pollution of
the soils resulted in the inhabitation of the activities of the enzymes
which are considered as biological catalysts to decompose organic
materials and facilitate the cycling of nutrients.
Abstract: Robotics brings together several very different
engineering areas and skills. There are various types of robot such as
humanoid robot, mobile robots, remotely operated vehicles, modern
autonomous robots etc. This survey paper advocates the operation of a
robotic car (remotely operated vehicle) that is controlled by a mobile
phone (communicate on a large scale over a large distance even from
different cities). The person makes a call to the mobile phone placed
in the car. In the case of a call, if any one of the button is pressed, a
tone equivalent to the button pressed is heard at the other end of the
call. This tone is known as DTMF (Dual Tone Multiple Frequency).
The car recognizes this DTMF tone with the help of the phone stacked
in the car. The received tone is processed by the Arduino
microcontroller. The microcontroller is programmed to acquire a
decision for any given input and outputs its decision to motor drivers
in order to drive the motors in the forward direction or backward
direction or left or right direction. The mobile phone that makes a call
to cell phone stacked in the car act as a remote.
Abstract: The heavy metal pollution degree in the soils around
the Zangezur copper and molybdenum combine in Syunik Marz,
Armenia was assessed. The results of the study showed that heavy
metal pollution degree in the soils mainly decreased with increasing
distance from the open mine and the ore enrichment combine which
indicated that the open mine and the ore enrichment combine were
the main sources of heavy metal pollution. The only exception was
observed in the northern part of the open mine where pollution
degree in the sites (along the open mine) situated 600 meters far from
the mine was higher than that in the sites located 300 meters far from
the mine. This can be explained by the characteristics of relief and air
currents as well as the weak vegetation cover of these sites and the
characteristics of soil structure. According to geo-accumulation index
(I-geo), contamination factor (Cf), contamination degree (Cd) and
pollution load index (PLI) values, the pollution degree in the soils
around the open mine and the ore enrichment combine was higher
than that in the soils around the tailing dumps which was due to the
proper and accurate operation of the Artsvanik tailing damp and the
recultivation of the Voghji tailing dump.
The high Cu and Mo pollution of the soils was conditioned by the
character of industrial activities, the moving direction of air currents
as well as the physicochemical peculiarities of the soils.
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: In urban area, several landmarks may affect housing
price and rents, and hedonic analysis should employ distance variables
corresponding to each landmarks. Unfortunately, the effects of
distances to landmarks on housing prices are generally not consistent
with the true price. These distance variables may cause magnitude
error in regression, pointing a problem of spatial multicollinearity. In
this paper, we provided some approaches for getting the samples with
less bias and method on locating the specific sampling area to avoid
the multicollinerity problem in two specific landmarks case.
Abstract: The inherent skin patterns created at the joints in the
finger exterior are referred as finger knuckle-print. It is exploited to
identify a person in a unique manner because the finger knuckle print
is greatly affluent in textures. In biometric system, the region of
interest is utilized for the feature extraction algorithm. In this paper,
local and global features are extracted separately. Fast Discrete
Orthonormal Stockwell Transform is exploited to extract the local
features. Global feature is attained by escalating the size of Fast
Discrete Orthonormal Stockwell Transform to infinity. Two features
are fused to increase the recognition accuracy. A matching distance is
calculated for both the features individually. Then two distances are
merged mutually to acquire the final matching distance. The
proposed scheme gives the better performance in terms of equal error
rate and correct recognition rate.
Abstract: The concentration levels of six heavy metals (Cd, Cr,
Fe, Ni, Pb and Zn) and two mineral elements (Ca and Mg) were
determined in soil samples collected from the vicinity of two auto
mechanic workshops in Sabon-Gari, Kaduna state, Nigeria, using
Atomic Absorption Spectrometry (AAS), in order to compare the
gradation of their concentrations with distance and depth of soil from
the workshop sites. At site 1, concentrations of Lead, Chromium, Iron
and Zinc were generally found to be above the World Health
Organization limits, while those of Nickel and Cadmium fell within
the limits. Iron had the highest concentration with a range of 176.274
ppm to 489.127 ppm at depths of 5 cm to 15 cm and a distance range
of 5 m to 15 m, while the concentration of cadmium was least with a
range of 0.001 ppm to 0.008 ppm at similar depth and distance
ranges. In addition, there was more of calcium (11.521 ppm to
121.709 ppm), in all the samples, than magnesium (11.293 ppm to
21.635 ppm). Similar results were obtained for site II. The
concentrations of all the metals analyzed showed a downward
gradient with increase in depth and distance from both workshop sites
except for iron and zinc at site 2. The immediate and remote
implications of these findings on the biota are discussed.
Abstract: Urban areas have been expanded throughout the
globe. Monitoring and modelling urban growth have become a
necessity for a sustainable urban planning and decision making.
Urban prediction models are important tools for analyzing the causes
and consequences of urban land use dynamics. The objective of this
research paper is to analyze and model the urban change, which has
been occurred from 1990 to 2000 using CORINE land cover maps.
The model was developed using drivers of urban changes (such as
road distance, slope, etc.) under an Artificial Neural Network
modelling approach. Validation was achieved using a prediction map
for 2006 which was compared with a real map of Urban Atlas of
2006. The accuracy produced a Kappa index of agreement of 0,639
and a value of Cramer's V of 0,648. These encouraging results
indicate the importance of the developed urban growth prediction
model which using a set of available common biophysical drivers
could serve as a management tool for the assessment of urban
change.
Abstract: Currently, there is excessively growing information
about places on Facebook, which is the largest social network but
such information is not explicitly organized and ranked. Therefore
users cannot exploit such data to recommend places conveniently and
quickly. This paper proposes a Facebook application and an Android
application that recommend places based on the number of check-ins
of those places, the distance of those places from the current location,
the number of people who like Facebook page of those places, and
the number of talking about of those places. Related Facebook data is
gathered via Facebook API requests. The experimental results of the
developed applications show that the applications can recommend
places and rank interesting places from the most to the least. We have
found that the average satisfied score of the proposed Facebook
application is 4.8 out of 5. The users’ satisfaction can increase by
adding the app features that support personalization in terms of
interests and preferences.
Abstract: Solar energy is a good option among renewable
energy resources due to its easy availability and abundance. The
simplest and most efficient way to utilize solar energy is to convert it
into thermal energy and this can be done with the help of solar
collectors. The thermal performance of such collectors is poor due to
less heat transfer from the collector surface to air. In this work,
experimental investigations of single pass solar air heater having
triangular duct and provided with roughness element on the underside
of the absorber plate. V-shaped ribs are used for investigation having
three different values of relative roughness pitch (p/e) ranges from 4-
16 for a fixed value of angle of attack (α), relative roughness height
(e/Dh) and a relative gap distance (d/x) values are 60°, 0.044 and 0.60
respectively. Result shows that considerable augmentation in heat
transfer has been obtained by providing roughness.
Abstract: The use of technology in the classroom is an issue that
is constantly evolving. Digital age students learn differently than their
teachers did, so now the teacher should be constantly evolving their
methods and teaching techniques to be more in touch with the
student. In this paper a case study presents how were used some of
these technologies by accompanying a classroom course, this in order
to provide students with a different and innovative experience as their
teacher usually presented the activities to develop. As students
worked in the various activities, they increased their digital skills by
employing unknown tools that helped them in their professional
training. The twenty-first century teacher should consider the use of
Information and Communication Technologies in the classroom
thinking in skills that students of the digital age should possess. It
also takes a brief look at the history of distance education and it is
also highlighted the importance of integrating technology as part of
the student's training.
Abstract: In this article is reported a construction and some
properties of the 5iD viewer, the system recording simultaneously
5 views of a given experimental object. Properties of the system
are demonstrated on the analysis of fish schooling behaviour. It
is demonstrated the method of instrument calibration which allows
inclusion of image distortion and it is proposed and partly tested
also the method of distance assessment in the case that only two
opposite cameras are available. Finally, we demonstrate how the state
trajectory of the behaviour of the fish school may be constructed from
the entropy of the system.
Abstract: An attempt has been made in the present
communication to elucidate the efficacy of robust ANOVA methods
to analyse horticultural field experimental data in the presence of
outliers. Results obtained fortify the use of robust ANOVA methods
as there was substantiate reduction in error mean square, and hence
the probability of committing Type I error, as compared to the regular
approach.
Abstract: Motion Tracking and Stereo Vision are complicated,
albeit well-understood problems in computer vision. Existing
softwares that combine the two approaches to perform stereo motion
tracking typically employ complicated and computationally expensive
procedures. The purpose of this study is to create a simple and
effective solution capable of combining the two approaches. The
study aims to explore a strategy to combine the two techniques
of two-dimensional motion tracking using Kalman Filter; and depth
detection of object using Stereo Vision. In conventional approaches
objects in the scene of interest are observed using a single camera.
However for Stereo Motion Tracking; the scene of interest is
observed using video feeds from two calibrated cameras. Using two
simultaneous measurements from the two cameras a calculation for
the depth of the object from the plane containing the cameras is made.
The approach attempts to capture the entire three-dimensional spatial
information of each object at the scene and represent it through a
software estimator object. In discrete intervals, the estimator tracks
object motion in the plane parallel to plane containing cameras and
updates the perpendicular distance value of the object from the plane
containing the cameras as depth. The ability to efficiently track
the motion of objects in three-dimensional space using a simplified
approach could prove to be an indispensable tool in a variety of
surveillance scenarios. The approach may find application from high
security surveillance scenes such as premises of bank vaults, prisons
or other detention facilities; to low cost applications in supermarkets
and car parking lots.
Abstract: Although it is not intended to identify distance
education students as a homogeneous group, recent research has
demonstrated that there are some demographic and personality
common traits among most of them that provide the basis for the
description of a typical distance learning student. The purpose of this
paper is to describe these common traits and to facilitate their
learning journey within a distance education program. The described
research is an initiative of the Distance Education Unit at the
European University Cyprus (Laureate International Universities) in
the context of its action for the improvement of the students’
performance.
Abstract: In this paper, we propose a method for three-dimensional
(3-D)-model indexing based on defining a new
descriptor, which we call new descriptor using spherical harmonics.
The purpose of the method is to minimize, the processing time on the
database of objects models and the searching time of similar objects
to request object.
Firstly we start by defining the new descriptor using a new
division of 3-D object in a sphere. Then we define a new distance
which will be used in the search for similar objects in the database.