Abstract: Structural failure is caused mainly by damage that
often occurs on structures. Many researchers focus on to obtain very
efficient tools to detect the damage in structures in the early state. In
the past decades, a subject that has received considerable attention in
literature is the damage detection as determined by variations in the
dynamic characteristics or response of structures. The study presents
a new damage identification technique. The technique detects the
damage location for the incomplete structure system using output
data only. The method indicates the damage based on the free
vibration test data by using ‘Two Points Condensation (TPC)
technique’. This method creates a set of matrices by reducing the
structural system to two degrees of freedom systems. The current
stiffness matrices obtain from optimization the equation of motion
using the measured test data. The current stiffness matrices compare
with original (undamaged) stiffness matrices. The large percentage
changes in matrices’ coefficients lead to the location of the damage. TPC technique is applied to the experimental data of a simply
supported steel beam model structure after inducing thickness change
in one element, where two cases consider. The method detects the
damage and determines its location accurately in both cases. In
addition, the results illustrate these changes in stiffness matrix can be
a useful tool for continuous monitoring of structural safety using
ambient vibration data. Furthermore, its efficiency proves that this
technique can be used also for big structures.
Abstract: Urban areas, as they have been developed and operate
today, are areas of accumulation of a significant amount of people
and a large number of activities that generate desires and reasons for
traveling. The territorial expansion of the cities as well as the need to
preserve the importance of the central city areas lead to the
continuous increase of transportation needs which in the limited
urban space results in creating serious traffic and operational
problems. The modern perception of urban planning is directed towards more
holistic approaches and integrated policies that make it economically
competitive, socially just and more environmentally friendly. Over
the last 25 years, the goal of sustainable transport development has
been central to the agenda of any plan or policy for the city. The
modern planning of urban space takes into account the economic and
social aspects of the city and the importance of the environment to
sustainable urban development. In this context, the European Union
promotes direct or indirect related interventions according to the
cohesion and environmental policies; many countries even had the
chance to actually test them. This paper explores the methods and processes that have been
developed towards this direction and presents a review and
systematic presentation of this work. The ultimate purpose of this
research is to effectively use this review to create a decision making
methodological framework which can be the basis of a useful
operational tool for sustainable urban planning.
Abstract: This paper explores and provides substantiated
evidence on the usage patterns of Information and Communication
Technologies (ICTs) by female users at Vhembe District in Limpopo-
Province, South Africa. The study presents a comprehensive picture
on the usage of ICTs from female users’ perspective. The
significance of this study stems from the need to assess the role,
relevance and usage patterns of ICTs such as smartphones,
computers, laptops, and iPods, the internet and social networking
sites among females following the developments of new media
technologies in society. The objective of the study is to investigate
the usability and accessibility of ICTs to empower female users in
South Africa. The study used quantitative and qualitative research
methods to determine the major ideas, perceptions and usage patterns
of ICTs by users. Data collection involved the use of structured selfadministered
questionnaire from two groups of respondents who
participated in this study. Thus, (n=50) female students at the
University of Venda provided their ideas and perceptions about the
usefulness and usage patterns of ICTs such as smartphones, the
Internet and computers at the university level, whereas, the second
group were (n=50) learners from Makhado Comprehensive School
who provided their perceptions and ideas about the use of ICTs at the
high school level. The researcher also noted that the findings of the
study were useful as a guideline and model for ICT intervention that
could work as an empowerment to women in South Africa. It was
observed that the central purpose of ICTs among female users was to
search for information regarding assignment writing, conducting
research, dating, exchanging ideas and networking with friends and
relatives. This was demonstrated by a high number of females who
used ICTs for e-learning (62%) and social purposes (85%).
Therefore, the study revealed that most females used ICTs for social
purposes and accessing the internet rather than for entertainment, a
gesture that provides an opportune space to empower rural women in
South Africa.
Abstract: This paper presents the interface ConductHome which
controls home automation systems with a Leap Motion using
“invariant gesture protocols”. This interface is meant to simplify the
interaction of the user with its environment. A hardware part allows
the Leap Motion to be carried around the house. A software part
interacts with the home automation box and displays the useful
information for the user. An objective of this work is the
development of a natural/invariant/simple gesture control interface to
help elder people/people with disabilities.
Abstract: Recently attention has been focused on incomplete
spinal cord injuries (SCI) to the central spine caused by pressure on
parts of the white matter conduction pathway, such as the pyramidal
tract. In this paper, we focus on a training robot designed to assist with
primary walking-pattern training. The target patient for this training
robot is relearning the basic functions of the usual walking pattern; it is
meant especially for those with incomplete-type SCI to the central
spine, who are capable of standing by themselves but not of
performing walking motions. From the perspective of human
engineering, we monitored the operator’s actions to the robot and
investigated the movement of joints of the lower extremities, the
circumference of the lower extremities, and exercise intensity with the
machine. The concept of the device was to provide mild training
without any sudden changes in heart rate or blood pressure, which will
be particularly useful for the elderly and disabled. The mechanism of
the robot is modified to be simple and lightweight with the expectation
that it will be used at home.
Abstract: Water resource systems modeling has constantly been
a challenge through history for human beings. As the innovative
methodological development is evolving alongside computer sciences
on one hand, researches are likely to confront more complex and
larger water resources systems due to new challenges regarding
increased water demands, climate change and human interventions,
socio-economic concerns, and environment protection and
sustainability. In this research, an automatic calibration scheme has
been applied on the Gilan’s large-scale water resource model using
mathematical programming. The water resource model’s calibration
is developed in order to attune unknown water return flows from
demand sites in the complex Sefidroud irrigation network and other
related areas. The calibration procedure is validated by comparing
several gauged river outflows from the system in the past with model
results. The calibration results are pleasantly reasonable presenting a
rational insight of the system. Subsequently, the unknown optimized
parameters were used in a basin-scale linear optimization model with
the ability to evaluate the system’s performance against a reduced
inflow scenario in future. Results showed an acceptable match
between predicted and observed outflows from the system at selected
hydrometric stations. Moreover, an efficient operating policy was
determined for Sefidroud dam leading to a minimum water shortage
in the reduced inflow scenario.
Abstract: This study investigated the impact of inflectional and derivational morphemic analysis awareness on ESL secondary school students’ vocabulary learning strategy. The quasi-experimental study was conducted with 106 low proficiency secondary school students in two experimental groups (inflectional and derivational) and one control group. The students’ vocabulary acquisition was assessed through two measures: Morphemic Analysis Test and Vocabulary- Morphemic Test in the pretest and posttest before and after an intervention programme. Results of ANCOVA revealed that both the experimental groups achieved a significant score in Morphemic Analysis Test and Vocabulary-Morphemic Test. However, the inflectional group obtained a fairly higher score than the derivational group. Thus, the results indicated that ESL low proficiency secondary school students performed better on inflectional morphemic awareness as compared to derivatives. The results also showed that the awareness of inflectional morphology contributed more on the vocabulary acquisition. Importantly, learning inflectional morphology can help ESL low proficiency secondary school students to develop both morphemic awareness and vocabulary gain. Theoretically, these findings show that not all morphemes are equally useful to students for their language development. Practically, these findings indicate that morphological instruction should at least be included in remediation and instructional efforts with struggling learners across all grade levels, allowing them to focus on meaning within the word before they attempt the text in large for better comprehension. Also, by methodologically, by conducting individualized intervention and assessment this study provided fresh empirical evidence to support the existing literature on morphemic analysis awareness and vocabulary learning strategy. Thus, a major pedagogical implication of the study is that morphemic analysis awareness strategy is a definite boon for ESL secondary school students in learning English vocabulary.
Abstract: A multilayer passive shield composed of low-activity
lead (Pb), copper (Cu), tin (Sn) and iron (Fe) was designed and
manufactured for a coaxial HPGe detector placed at a surface
laboratory for reducing background radiation and radiation dose to
the personnel. The performance of the shield was evaluated and
efficiency curves of the detector were plotted by using of various
standard sources in different distances. Monte Carlo simulations and
a set of TLD chips were used for dose estimation in two distances of
20 and 40 cm. The results show that the shield reduced background
spectrum and the personnel dose more than 95%.
Abstract: Web mining is to discover and extract useful
Information. Different users may have different search goals when
they search by giving queries and submitting it to a search engine.
The inference and analysis of user search goals can be very useful for
providing an experience result for a user search query. In this project,
we propose a novel approach to infer user search goals by analyzing
search web logs. First, we propose a novel approach to infer user
search goals by analyzing search engine query logs, the feedback
sessions are constructed from user click-through logs and it
efficiently reflect the information needed for users. Second we
propose a preprocessing technique to clean the unnecessary data’s
from web log file (feedback session). Third we propose a technique
to generate pseudo-documents to representation of feedback sessions
for clustering. Finally we implement k-medoids clustering algorithm
to discover different user search goals and to provide a more optimal
result for a search query based on feedback sessions for the user.
Abstract: Cole-Cole parameters of 40 post-menopausal women
are compared with their DEXA bone mineral density measurements.
Impedance characteristics of four extremities are compared; left and
right extremities are statistically same, but lower extremities are
statistically different than upper ones due to their different fat
content. The correlation of Cole-Cole impedance parameters to bone
mineral density (BMD) is observed to be higher for dominant arm.
With the post-menopausal population, ANOVA tests of the dominant
arm characteristic frequency, as a predictor for DEXA classified
osteopenic and osteoporic population around lumbar spine, is
statistically very significant. When used for total lumbar spine
osteoporosis diagnosis, the area under the Receiver Operating Curve
of the characteristic frequency is 0.830, suggesting that the Cole-Cole
plot characteristic frequency could be a useful diagnostic parameter
when integrated into standard screening methods for osteoporosis.
Moreover, the characteristic frequency can be directly measured by
monitoring frequency driven angular behavior of the dominant arm
without performing any complex calculation.
Abstract: Background: Diabetic sensorimotor polyneuropathy
(DSP) is one of the most common microvascular complications of
type 2 diabetes. Loss of sensation is thought to contribute to a lack of
static and dynamic stability and increased risk of falling. Purpose:
The purpose of this study was to compare the effects of low-level
laser (LLL) and monochromatic near-infrared photo energy (MIRE)
on pain, cutaneous sensation, static stability, and index of lower limb
blood flow in diabetic patients with peripheral neuropathy. Methods:
Forty diabetic patients with peripheral neuropathy were recruited for
participation in this study. They were divided into two groups: The
MIRE group, which contained 20 patients, and the LLL group, which
contained 20 patients. All patients who participated in the study had
been subjected to various physical assessment procedures, including
pain, cutaneous sensation, Doppler flow meter, and static stability
assessments. The baseline measurements were followed by treatment
sessions that were conducted twice a week for six successive weeks.
Results: The statistical analysis of the data revealed significant
improvement of pain in both groups, with significant improvement in
cutaneous sensation and static balance in the MIRE group compared
to the LLL group; on the other hand, the results showed no
significant differences in lower limb blood flow between the groups.
Conclusion: LLL and MIRE can improve painful symptoms in
patients with diabetic neuropathy. On the other hand, MIRE is also
useful in improving cutaneous sensation and static stability in
patients with diabetic neuropathy.
Abstract: Graphene was dispersed using a tip sonicator and the
effect of surfactants were analysed. Sodium Dodecyl Sulphate (SDS)
and Polyvinyl Alcohol (PVA) were compared to observe whether or
not they had any effect on any de-wrinkling, and secondly whether
they aided to achieve better dispersions. There is a huge demand for
wrinkle free graphene as this will greatly increase its usefulness in
various engineering applications. A comprehensive literature on dewrinkling
graphene has been discussed. Low magnification Scanning
Electronic Microscopy (SEM) was conducted to assess the quality of
graphene de-wrinkling. The utilization of the PVA has significant
effect on de-wrinkling whereas SDS had minimal effect on the dewrinkling
of graphene.
Abstract: This paper treats different aspects of entropy measure
in classical information theory and statistical quantum mechanics, it
presents the possibility of extending the definition of Von Neumann
entropy to image and array processing. In the first part, we generalize
the quantum entropy using singular values of arbitrary rectangular
matrices to measure the randomness and the quality of denoising
operation, this new definition of entropy can be implemented to
compare the performance analysis of filtering methods. In the second
part, we apply the concept of pure state in quantum formalism
to generalize the maximum entropy method for narrowband and
farfield source localization problem. Several computer simulation
results are illustrated to demonstrate the effectiveness of the proposed
techniques.
Abstract: Useful lifetime evaluation of chevron rubber spring
was very important in design procedure to assure the safety and
reliability. It is, therefore, necessary to establish a suitable criterion
for the replacement period of chevron rubber spring. In this study, we
performed characteristic analysis and useful lifetime prediction of
chevron rubber spring. Rubber material coefficient was obtained by
curve fittings of uniaxial tension equibiaxial tension and pure shear
test. Computer simulation was executed to predict and evaluate the
load capacity and stiffness for chevron rubber spring. In order to
useful lifetime prediction of rubber material, we carried out the
compression set with heat aging test in an oven at the temperature
ranging from 50°C to 100°C during a period 180 days. By using the
Arrhenius plot, several useful lifetime prediction equations for rubber
material was proposed.
Abstract: Determination of genetic variation is useful for plant
breeding and hence production of more efficient plant species under
different conditions, like drought stress. In this study a sample of 28
recombinant inbred lines (RILs) of wheat developed from the cross of
Norstar and Zagross varieties, together with their parents, were
evaluated for two years (2010-2012) under normal and water stress
conditions using split plot design with three replications. Main plots
included two irrigation treatments of 70 and 140 mm evaporation
from Class A pan and sub-plots consisted of 30 genotypes. The effect
of genotypes and interaction of genotypes with years and water
regimes were significant for all characters. Significant genotypic
effect implies the existence of genetic variation among the lines
under study. Heritability estimates were high for 1000 grain weight
(0.87). Biomass and grain yield showed the lowest heritability values
(0.42 and 0.50, respectively). Highest genotypic and phenotypic
coefficients of variation (GCV and PCV) belonged to harvest index.
Moderate genetic advance for most of the traits suggested the
feasibility of selection among the RILs under investigation. Some
RILs were higher yielding than either parent at both environments.
Abstract: Coal tar is a liquid by-product of coal pyrolysis
processes. This liquid oil mixture contains various kinds of useful
compounds such as benzoic aromatic compounds and phenolic
compounds. These compounds are widely used as raw material for
insecticides, dyes, medicines, perfumes, coloring matters, and many
others. The coal tar was collected by pyrolysis process of coal
obtained from PT Kaltim Prima Coal and Arutmin-Kalimantan. The
experiments typically occurred at the atmospheric pressure in a
laboratory furnace at temperatures ranging from 300 to 550oC with a
heating rate of 10oC/min and a holding time of 1 hour at the pyrolysis
temperature. The Gas Chromatography-Mass Spectroscopy (GC-MS)
was used to analyze the coal tar components. The obtained coal tar
has the viscosity of 3.12 cp, the density of 2.78 g/cm3, the calorific
value of 11,048.44 cal/g, and the molecular weight of 222.67. The
analysis result showed that the coal tar contained more than 78
chemical compounds such as benzene, cresol, phenol, xylene,
naphtalene, etc. The total phenolic compounds contained in coal tar
are 33.25% (PT KPC) and 17.58% (Arutmin-Kalimantan). The total
naphtalene compounds contained in coal tar is 14.15% (PT KPC) and
17.13% (Arutmin-Kalimantan).
Abstract: Based on the hypothesis that disaster risk is
constructed socially and historically, this article shows the
importance of keeping alive the historical memory of disaster by
means of architectural and urban heritage conservation. This is
illustrated with three examples of Latin American World Heritage
cities, where disasters like floods and earthquakes have shaped urban
form. Therefore, the study of urban form or "Urban Morphology" is
proposed as a tool to understand and analyze urban transformations
with the documentation of the occurrence of disasters. Lessons
learned from such cities may be useful to reduce disasters risk in
contemporary built environments.
Abstract: The spindle system is one of the most important
components of machine tool. The dynamic properties of the spindle
affect the machining productivity and quality of the work pieces.
Thus, it is important and necessary to determine its dynamic
characteristics of spindles in the design and development in order to
avoid forced resonance. The finite element method (FEM) has been
adopted in order to obtain the dynamic behavior of spindle system.
For this reason, obtaining the Campbell diagrams and determining the
critical speeds are very useful to evaluate the spindle system
dynamics. The unbalance response of the system to the center of
mass unbalance at the cutting tool is also calculated to investigate the
dynamic behavior. In this paper, we used an ANSYS Parametric
Design Language (APDL) program which based on finite element
method has been implemented to make the full dynamic analysis and
evaluation of the results. Results show that the calculated critical
speeds are far from the operating speed range of the spindle, thus, the
spindle would not experience resonance, and the maximum
unbalance response at operating speed is still with acceptable limit.
ANSYS Parametric Design Language (APDL) can be used by spindle
designer as tools in order to increase the product quality, reducing
cost, and time consuming in the design and development stages.
Abstract: This paper presents thermal annealing de-wetting
technique for the preparation of porous metal membrane for Thin
Film Encapsulation (TFE) application. Thermal annealing de-wetting
experimental results reveal that pore size formation in porous metal
membrane depend upon i.e. 1. The substrate at which metal is
deposited, 2. Melting point of metal used for porous metal cap layer
membrane formation, 3. Thickness of metal used for cap layer, 4.
Temperature used for formation of porous metal membrane. In order
to demonstrate this technique, Silver (Ag) was used as a metal for
preparation of porous metal membrane on amorphous silicon (a-Si)
and silicon oxide. The annealing of the silver thin film of various
thicknesses was performed at different temperature. Pores in porous
silver film were analyzed using Scanning Electron Microscope
(SEM). In order to check the usefulness of porous metal film for TFE
application, the porous silver film prepared on amorphous silicon (a-
Si) and silicon oxide was released using XeF2 and VHF, respectively.
Finally, guide line and structures are suggested to use this porous
membrane for robust TFE application.
Abstract: The purpose of this project is to propose a quick and
environmentally friendly alternative to measure the quality of oils
used in food industry. There is evidence that repeated and
indiscriminate use of oils in food processing cause physicochemical
changes with formation of potentially toxic compounds that can
affect the health of consumers and cause organoleptic changes. In
order to assess the quality of oils, non-destructive optical techniques
such as Interferometry offer a rapid alternative to the use of reagents,
using only the interaction of light on the oil. Through this project, we
used interferograms of samples of oil placed under different heating
conditions to establish the changes in their quality. These
interferograms were obtained by means of a Mach-Zehnder
Interferometer using a beam of light from a HeNe laser of 10mW at
632.8nm. Each interferogram was captured, analyzed and measured
full width at half-maximum (FWHM) using the software from
Amcap and ImageJ. The total of FWHMs was organized in three
groups. It was observed that the average obtained from each of the
FWHMs of group A shows a behavior that is almost linear, therefore
it is probable that the exposure time is not relevant when the oil is
kept under constant temperature. Group B exhibits a slight
exponential model when temperature raises between 373 K and 393
K. Results of the t-Student show a probability of 95% (0.05) of the
existence of variation in the molecular composition of both samples.
Furthermore, we found a correlation between the Iodine Indexes
(Physicochemical Analysis) and the Interferograms (Optical
Analysis) of group C. Based on these results, this project highlights
the importance of the quality of the oils used in food industry and
shows how Interferometry can be a useful tool for this purpose.