Abstract: In this numerical work, mixed convection and entropy
generation of Cu–water nanofluid in a lid-driven square cavity have
been investigated numerically using the Lattice Boltzmann Method.
Horizontal walls of the cavity are adiabatic and vertical walls have
constant temperature but different values. The top wall has been
considered as moving from left to right at a constant speed, U0. The
effects of different parameters such as nanoparticle volume
concentration (0–0.05), Rayleigh number (104–106) and Reynolds
numbers (1, 10 and 100) on the entropy generation, flow and
temperature fields are studied. The results have shown that addition
of nanoparticles to the base fluid affects the entropy generation, flow
pattern and thermal behavior especially at higher Rayleigh and low
Reynolds numbers. For pure fluid as well as nanofluid, the increase
of Reynolds number increases the average Nusselt number and the
total entropy generation, linearly. The maximum entropy generation
occurs in nanofluid at low Rayleigh number and at high Reynolds
number. The minimum entropy generation occurs in pure fluid at low
Rayleigh and Reynolds numbers. Also at higher Reynolds number,
the effect of Cu nanoparticles on enhancement of heat transfer was
decreased because the effect of lid-driven cavity was increased. The
present results are validated by favorable comparisons with
previously published results. The results of the problem are presented
in graphical and tabular forms and discussed.
Abstract: Complex environments triggered by globalization
have necessitated new paradigms of leadership – Complexity
Leadership that encompass multiple roles that leaders need to take
upon. Success of Higher Education institutions depends on how well
leaders can provide adaptive, administrative and enabling leadership.
Complexity Leadership seems all the more relevant for institutions
that are knowledge-driven and thrive on Knowledge creation,
Knowledge storage and retrieval, Knowledge Sharing and
Knowledge applications. Discussed in this paper are the elements of
Globalization and the opportunities and challenges that are brought
forth by globalization. The Complexity leadership paradigm in a
knowledge-based economy and the need for such a paradigm shift for
higher education institutions is presented. Further, the paper also
discusses the support the leader requires in a knowledge-driven
economy through knowledge management initiatives.
Abstract: There are real needs to integrate types of Open
Educational Resources (OER) with an intelligent system to extract
information and knowledge in the semantic searching level. The
needs came because most of current learning standard adopted web
based learning and the e-learning systems do not always serve all
educational goals. Semantic Web systems provide educators,
students, and researchers with intelligent queries based on a semantic
knowledge management learning system. An ontology-based learning
system is an advanced system, where ontology plays the core of the
semantic web in a smart learning environment. The objective of this
paper is to discuss the potentials of ontologies and mapping different
kinds of ontologies; heterogeneous or homogenous to manage and
control different types of Open Educational Resources. The important
contribution of this research is that it uses logical rules and
conceptual relations to map between ontologies of different
educational resources. We expect from this methodology to establish
an intelligent educational system supporting student tutoring, self and
lifelong learning system.
Abstract: This paper proposes a novel heuristic algorithm that aims to determine the best size and location of distributed generators in unbalanced distribution networks. The proposed heuristic algorithm can deal with the planning cases where power loss is to be optimized without violating the system practical constraints. The distributed generation units in the proposed algorithm is modeled as voltage controlled node with the flexibility to be converted to constant power factor node in case of reactive power limit violation. The proposed algorithm is implemented in MATLAB and tested on the IEEE 37 -node feeder. The results obtained show the effectiveness of the proposed algorithm.
Abstract: Tannins are a unique category of plant phytochemicals
especially in terms of their vast potential health-benefiting properties.
Researchers have described the capacity of tannins to enhance
glucose uptake and inhibit adipogenesis, thus being potential drugs
for the treatment of non-insulin dependent diabetes mellitus. Thus,
the present research was conducted to find out tannin content of food
products. The percentage of tannin in various analyzed sources
ranged from 0.0 to 108.53%; highest in kathaa and lowest in ker and
mango bark. The percentage of tannins present in the plants,
however, varies. Numerous studies have confirmed that the naturally
occurring polyphenols are key factor for the beneficial effects of the
herbal medicines. Isolation and identification of active constituents
from plants, preparation of standardized dose & dosage regimen can
play a significant role in improving the hypoglycaemic action.
Abstract: This paper reports the viability of developing Zn-27Al
alloy matrix hybrid composites reinforced with alumina, graphite and
fly ash (solid waste bye product of coal in thermal power plants).
This research work was aimed at developing low cost-high
performance Zn-27Al matrix composite with low density. Alumina
particulates (Al2O3), graphite added with 0, 2, 3, 4 and 5 wt% fly ash
were utilized to prepare 10wt% reinforcing phase with Zn-27Al alloy
as matrix using two-step stir casting method. Density measurement,
estimated percentage porosity, tensile testing, micro hardness
measurement and optical microscopy were used to assess the
performance of the composites produced. The results show that the
hardness, ultimate tensile strength, and percent elongation of the
hybrid composites decrease with increase in fly ash content. The
maximum decrease in hardness and ultimate tensile strength of
13.72% and 15.25% respectively were observed for composite grade
containing 5wt% fly ash. The percentage elongation of composite
sample without fly ash is 8.9% which is comparable with that of the
sample containing 2wt% fly ash with percentage elongation of 8.8%.
The fracture toughness of the fly ash containing composites was
however superior to those of composites without fly ash with 5wt%
fly ash containing composite exhibiting the highest fracture
toughness. The results show that fly ash can be utilized as
complementary reinforcement in ZA-27 alloy matrix composite to
reduce cost.
Abstract: This work explores the inter-region investment
behaviors of Integrated Circuit (IC) design industry from Taiwan to
China using the amount of foreign direct investment (FDI). According
to the mutual dependence among different IC design industrial
locations, Lotka-Volterra model is utilized to explore the FDI
interactions between South and East China. Effects of inter-regional
collaborations on FDI flows into China are considered. The analysis
results show that FDIs into South China for IC design industry
significantly inspire the subsequent FDIs into East China, while FDIs
into East China for Taiwan’s IC design industry significantly hinder
the subsequent FDIs into South China. Because the supply chain along
IC industry includes upstream IC design, midstream manufacturing, as
well as downstream packing and testing enterprises, IC design industry
has to cooperate with IC manufacturing, packaging and testing
industries in the same area to form a strong IC industrial cluster.
Taiwan’s IC design industry implement the largest FDI amount into
East China and the second largest FDI amount into South China
among the four regions: North, East, Mid-West and South China. If IC
design houses undertake more FDIs in South China, those in East
China are urged to incrementally implement more FDIs into East
China to maintain the competitive advantages of the IC supply chain in
East China. On the other hand, as the FDIs in East China rise, the FDIs
in South China will successively decline since capitals have
concentrated in East China. In addition, this investigation proves that
the prediction of Lotka-Volterra model in FDI trends is accurate
because the industrial interactions between the two regions are
included. Finally, this work confirms that the FDI flows cannot reach a
stable equilibrium point, so the FDI inflows into East and South China
will expand in the future.
Abstract: Rapid population growth, urbanization and
industrialization are known as the most important factors of
environment problems. Elimination and management of solid wastes
are also within the most important environment problems. One of the
main problems in solid waste management is the selection of the best
site for elimination of solid wastes. Lately, Geographical Information
System (GIS) has been used for easing selection of landfill area. GIS
has the ability of imitating necessary economic, environmental and
political limitations. They play an important role for the site selection
of landfill area as a decision support tool. In this study; map layers will be studied for minimum effect of
environmental, social and cultural factors and maximum effect for
engineering/economic factors for site selection of landfill areas and
using GIS for a decision support mechanism in solid waste landfill
areas site selection will be presented in Aksaray/Turkey city,
Güzelyurt district practice.
Abstract: This paper presents a speed estimation scheme based
on second-order sliding-mode Super Twisting Algorithm (STA) and
Model Reference Adaptive System (MRAS) estimation theory for
Sensorless control of multiphase induction machine. A stator current
observer is designed based on the STA, which is utilized to take the
place of the reference voltage model of the standard MRAS
algorithm. The observer is insensitive to the variation of rotor
resistance and magnetizing inductance when the states arrive at the
sliding mode. Derivatives of rotor flux are obtained and designed as
the state of MRAS, thus eliminating the integration. Compared with
the first-order sliding-mode speed estimator, the proposed scheme
makes full use of the auxiliary sliding-mode surface, thus alleviating
the chattering behavior without increasing the complexity. Simulation
results show the robustness and effectiveness of the proposed
scheme.
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: This paper reports on the response of a fiber-optic
sensing probe to small concentrations of hydrogen peroxide (H2O2)
vapor at room temperature. H2O2 has extensive applications in industrial and medical
environments. Conversely, H2O2 can be a health hazard by itself. For
example, H2O2 induces cellular damage in human cells and its
presence can be used to diagnose illnesses such as asthma and human
breast cancer. Hence, development of reliable H2O2 sensor is of vital
importance to detect and measure this species. Ferric ferrocyanide, referred to as Prussian Blue (PB), was
deposited on the tip of a multimode optical fiber through the single
source precursor technique and served as an indicator of H2O2 in a
spectroscopic manner. Sensing tests were performed in H2O2-H2O
vapor mixtures with different concentrations of H2O2. The results of sensing tests show the sensor is able to detect H2O2
concentrations in the range of 50.6 ppm to 229.5 ppm. Furthermore,
the sensor response to H2O2 concentrations is linear in a log-log scale
with the adjacent R-square of 0.93. This sensing behavior allows us
to detect and quantify the concentration of H2O2 in the vapor phase.
Abstract: Academic libraries in Malaysia are still not prepared
for disaster even though several occasions have been reported. The
study sets out to assess the current status of preparedness in disaster
management among Malaysian academic libraries in the State of
Selangor and the Federal Territory of Kuala Lumpur. To obtain a
base level of knowledge on disaster preparedness of current practices,
a questionnaire was distributed to chief librarians or their assignees in
charge of disaster or emergency preparedness at 40 academic
libraries and 34 responses were received. The study revolved around
the current status of preparedness, on various issues including
existence of disaster preparedness plan among academic libraries in
Malaysia, disaster experiences by the academic libraries, funding,
risk assessment activities and involvement of library staff in disaster
management. Frequency and percentage tables were used in the
analysis of the data collected. Some of the academic libraries under
study have experienced one form of disaster or the other. Most of the
academic libraries do not have a written disaster preparedness plan.
The risk assessments and staff involvement in disaster preparedness
by these libraries were generally adequate.
Abstract: Many existing amusement parks have been operated
with assistance of a variety of information and communications
technologies to design friendly and efficient service systems for
tourists. However, these systems leave various levels of decisions to
tourists to make by themselves. This incurs pressure on tourists and
thereby bringing negative experience in their tour. This paper
proposes a smart amusement park system to offer each tourist the
GPS-based customized plan without tourists making decisions by
themselves. The proposed system consists of the mobile app
subsystem, the central subsystem, and the detecting/counting
subsystem. The mobile app subsystem interacts with the central
subsystem. The central subsystem performs the necessary computing
and database management of the proposed system. The
detecting/counting subsystem aims to detect and compute the number
of visitors to an attraction. Experimental results show that the
proposed system can not only work well, but also provide an
innovative business operating model for owners of amusement parks.
Abstract: The purpose of the study is to find out relation of
moral massage between the authority and globalization in proverb.
Proverb is one of the many forms of cultural identity of the
Indonesian/Malay people filled with moral values. The values
contained within those proverbs are beneficial not only to the society,
but also to those who held power amidst on this era of globalization.
The method being used is qualitative research through content
analysis which is done by describing and uncovering the forms and
meanings of proverbs used within Indonesia Minangkabau society.
Sources for this study’s data were extracted from a Minangkabau
native speaker in the sub district of Tanah Abang, Jakarta. Said
sources were retrieved through a series of interviews with the
Minangkabau native speaker, whose speech is still adorned with
idiomatic expressions. The research findings show that there are 30
existed proverbs or idiomatic expressions in the Minangkabau
language often used by its indigenous people. The thirty data contain
moral values which are closely interwoven with the matter of power
and globalization. Analytical results show that the fourteen moral
values contained within proverbs reflect a firm connection between
rule and power in globalization; such as: responsible, brave,
togetherness and consensus, tolerance, politeness, thorough and
meticulous, honest and keeping promise, ingenious and learning,
care, self-correction, be fair, alert, arbitrary, self-awareness.
Structurally, proverbs possess an unchangeably formal construction;
symbolically, proverbs possess meanings that are clearly decided
through ethnographic communicative factors along with situational
and cultural contexts. Values contained within proverbs may be used
as a guide in social management, be it between fellow men, between
men and nature, or even between men and their Creator. Therefore,
the meanings and values contained within the morals of proverbs
could also be utilized as a counsel for those who rule and in charge of
power in order to stem the tides of globalization that had already
spread into sectoral, territorial and educational continuums.
Abstract: Comparative analysis of the properties of melon seed,
coconut fruit and their oil yield were evaluated in this work using
standard analytical technique AOAC. The results of the analysis
carried out revealed that the moisture contents of the samples studied
are 11.15% (melon) and 7.59% (coconut). The crude lipid content are
46.10% (melon) and 55.15% (coconut).The treatment combinations
used (leaching time, leaching temperature and solute: solvent ratio)
showed significant difference (p < 0.05) in yield between the
samples, with melon oil seed flour having a higher percentage range
of oil yield (41.30 – 52.90%) and coconut (36.25 – 49.83%). The
physical characterization of the extracted oil was also carried out.
The values gotten for refractive index are 1.487 (melon seed oil) and
1.361 (coconut oil) and viscosities are 0.008 (melon seed oil) and
0.002 (coconut oil). The chemical analysis of the extracted oils shows
acid value of 1.00mg NaOH/g oil (melon oil), 10.050mg NaOH/g oil
(coconut oil) and saponification value of 187.00mg/KOH (melon oil)
and 183.26mg/KOH (coconut oil). The iodine value of the melon oil
gave 75.00mg I2/g and 81.00mg I2/g for coconut oil. A standard
statistical package Minitab version 16.0 was used in the regression
analysis and analysis of variance (ANOVA). The statistical software
mentioned above was also used to optimize the leaching process.
Both samples gave high oil yield at the same optimal conditions. The
optimal conditions to obtain highest oil yield ≥ 52% (melon seed)
and ≥ 48% (coconut seed) are solute - solvent ratio of 40g/ml,
leaching time of 2hours and leaching temperature of 50oC. The two
samples studied have potential of yielding oil with melon seed giving
the higher yield.
Abstract: Inference plays an important role in the learning
process and it can lead to a rapid acquisition of a second language.
When learning a non-native language i.e., a critical language like
Arabic, the students depend on the teacher’s support most of the time
to learn new concepts. The students focus on memorizing the new
vocabulary and stress on learning all the grammatical rules. Hence,
the students became mechanical and cannot produce the language
easily. As a result, they are unable to predicate the meaning of words
in the context by relying heavily on the teacher, in that they cannot
link their prior knowledge or even identify the meaning of the words
without the support of the teacher. This study explores how the
teacher guides students learning during the inference process and
what are the processes of learning that can direct student’s inference.
Abstract: Natural fibers are used in polymer composites to
improve mechanical properties to replace inorganic reinforcing
agents produced by non-renewable resources. The present study
investigates the tensile and flexural behaviors of palm fibers-high
density polyethylene (HDPE) composite as a function of volume
fraction. The surface of the fibers was treated by mercerization
treatments to improve the wetting behavior of the apolar HDPE. The
treatment characterization was obtained by scanning electron
microscopy, X-Ray diffraction and infrared spectroscopy. Results
evidences that a good adhesion interfacial between fibers-matrix
caused an increase strength and modulus flexural as well as tensile
strength in the modified fibers/HDPE composites when compared to
the pure HDPE and untreated fibers reinforced composites.
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: Social Avoidance is one of the most important
problems that face a good number of disabled students. It results from
the negative attitudes of non-disabled students, teachers and others.
Some of the past research has shown that non-disabled individuals
hold negative attitudes toward persons with disabilities. The present
study aims to alleviate Social Avoidance by applying the Cognitive
Behavioral Intervention. 24 Blind students aged 19–24 (university students) were randomly
chosen we compared an experimental group (consisted of 12
students) who went through the intervention program, with a control
group (12 students also) who did not go through such intervention.
We used the Social Avoidance and Distress Scale (SADS) to assess
social anxiety and distress behavior. The author used many
techniques of cognitive behavioral intervention such as modeling,
cognitive restructuring, extension, contingency contracts, selfmonitoring,
assertiveness training, role play, encouragement and
others. Statistically, T-test was employed to test the research
hypothesis. Result showed that there is a significance difference between the
experimental group and the control group after the intervention and
also at the follow up stages of the Social Avoidance and Distress
Scale. Also for the experimental group, there is a significance
difference before the intervention and the follow up stages for the
scale. Results showed that, there is a decrease in social avoidance.
Accordingly, cognitive behavioral intervention program was
successful in decreasing social avoidance for blind students.
Abstract: Chatter vibrations and process instabilities are the
most important factors limiting the productivity of the milling
process. Chatter can leads to damage of the tool, the part or the
machine tool. Therefore, the estimation and prediction of the process
stability is very important. The process stability depends on the
spindle speed, the depth of cut and the width of cut. In milling, the
process conditions are defined in the NC-program. While the spindle
speed is directly coded in the NC-program, the depth and width of cut
are unknown. This paper presents a new simulation based approach
for the prediction of the depth and width of cut of a milling process.
The prediction is based on a material removal simulation with an
analytically represented tool shape and a multi-dexel approach for the
workpiece. The new calculation method allows the direct estimation
of the depth and width of cut, which are the influencing parameters of
the process stability, instead of the removed volume as existing
approaches do. The knowledge can be used to predict the stability of
new, unknown parts. Moreover with an additional vibration sensor,
the stability lobe diagram of a milling process can be estimated and
improved based on the estimated depth and width of cut.