Abstract: This paper is meant to analyze the ranking of
University of Malaysia Terengganu, UMT’s website in the World
Wide Web. There are only few researches have been done on
comparing the ranking of universities’ websites so this research will
be able to determine whether the existing UMT’s website is serving
its purpose which is to introduce UMT to the world. The ranking is
based on hub and authority values which are accordance to the
structure of the website. These values are computed using two websearching
algorithms, HITS and SALSA. Three other universities’
websites are used as the benchmarks which are UM, Harvard and
Stanford. The result is clearly showing that more work has to be done
on the existing UMT’s website where important pages according to
the benchmarks, do not exist in UMT’s pages. The ranking of UMT’s
website will act as a guideline for the web-developer to develop a
more efficient website.
Abstract: Polymorphism is one of the main pillars of objectoriented
paradigm. It induces hidden forms of class dependencies
which may impact software quality, resulting in higher cost factor for
comprehending, debugging, testing, and maintaining the software. In
this paper, a new cognitive complexity metric called Cognitive
Weighted Polymorphism Factor (CWPF) is proposed. Apart from the
software structural complexity, it includes the cognitive complexity
on the basis of type. The cognitive weights are calibrated based on 27
empirical studies with 120 persons. A case study and experimentation
of the new software metric shows positive results. Further, a
comparative study is made and the correlation test has proved that
CWPF complexity metric is a better, more comprehensive, and more
realistic indicator of the software complexity than Abreu’s
Polymorphism Factor (PF) complexity metric.
Abstract: The UK is leading in online retail and mobile
adoption. However, there is a dearth of information relating to mobile
apparel retail, and developing an understanding about consumer
browsing and purchase behaviour in m-retail channel would provide
apparel marketers, mobile website and app developers with the
necessary understanding of consumers’ needs. Despite the rapid
growth of mobile retail businesses, no published study has examined
shopping behaviour on fashion mobile apps and websites. A mixed method approach helped to understand why fashion
consumers prefer websites on smartphones, when diverse mobile
apps are also available. The following research methods were
employed: survey, eye-tracking experiments, observation, and
interview with retrospective think aloud. The mobile gaze tracking
device by SensoMotoric Instruments was used to understand
frustrations in navigation and other issues facing consumers in
mobile channel. This method helped to validate and compliment
other traditional user-testing approaches in order to optimize user
experience and enhance the development of mobile retail channel.
The study involved eight participants - females aged 18 to 35 years
old, who are existing mobile shoppers. The participants used the
Topshop mobile app and website on a smart phone to complete a task
according to a specified scenario leading to a purchase. The
comparative study was based on: duration and time spent at different
stages of the shopping journey, number of steps involved and product
pages visited, search approaches used, layout and visual clues, as
well as consumer perceptions and expectations. The results from the data analysis show significant differences in
consumer behaviour when using a mobile app or website on a smart
phone. Moreover, two types of problems were identified, namely
technical issues and human errors. Having a mobile app does not
guarantee success in satisfying mobile fashion consumers. The
differences in the layout and visual clues seem to influence the
overall shopping experience on a smart phone. The layout of search
results on the website was different from the mobile app. Therefore,
participants, in most cases, behaved differently on different
platforms. The number of product pages visited on the mobile app
was triple the number visited on the website due to a limited visibility
of products in the search results. Although, the data on traffic trends
held by retailers to date, including retail sector breakdowns for visits
and views, data on device splits and duration, might seem a valuable
source of information, it cannot explain why consumers visit many
product pages, stay longer on the website or mobile app, or abandon
the basket. A comprehensive list of pros and cons was developed by
highlighting issues for website and mobile app, and recommendations
provided. The findings suggest that fashion retailers need to be aware of
actual consumers’ behaviour on the mobile channel and their expectations in order to offer a seamless shopping experience. Added
to which is the challenge of retaining existing and acquiring new
customers. There seem to be differences in the way fashion
consumers search and shop on mobile, which need to be explored in
further studies.
Abstract: In this paper, we present a comparative study of three
methods of 2D face recognition system such as: Iso-Geodesic Curves
(IGC), Geodesic Distance (GD) and Geodesic-Intensity Histogram
(GIH). These approaches are based on computing of geodesic
distance between points of facial surface and between facial curves.
In this study we represented the image at gray level as a 2D surface in
a 3D space, with the third coordinate proportional to the intensity
values of pixels. In the classifying step, we use: Neural Networks
(NN), K-Nearest Neighbor (KNN) and Support Vector Machines
(SVM). The images used in our experiments are from two wellknown
databases of face images ORL and YaleB. ORL data base was
used to evaluate the performance of methods under conditions where
the pose and sample size are varied, and the database YaleB was used
to examine the performance of the systems when the facial
expressions and lighting are varied.
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: Due to the interference effects, the intrinsic
aerodynamic parameters obtained from the individual component
testing are always fundamentally different than those obtained for
complete model testing. Consideration and limitation for such testing
need to be taken into account in any design work related to the
component buildup method. In this paper, the scaled model of a
straight rectangular canard of a hybrid buoyant aircraft is tested at 50
m/s in IIUM-LSWT (Low Speed Wind Tunnel). Model and its
attachment with the balance are kept rigid to have results free from
the aeroelastic distortion. Based on the velocity profile of the test
section’s floor; the height of the model is kept equal to the
corresponding boundary layer displacement. Balance measurements
provide valuable but limited information of overall aerodynamic
behavior of the model. Zero lift coefficient is obtained at -2.2o and
the corresponding drag coefficient was found to be less than that at
zero angle of attack. As a part of the validation of low fidelity tool,
plot of lift coefficient plot was verified by the experimental data and
except the value of zero lift coefficients, the overall trend has under
predicted the lift coefficient. Based on this comparative study, a
correction factor of 1.36 is proposed for lift curve slope obtained
from the panel method.
Abstract: In some applications, such as image recognition or
compression, segmentation refers to the process of partitioning a
digital image into multiple segments. Image segmentation is typically
used to locate objects and boundaries (lines, curves, etc.) in images.
Image segmentation is to classify or cluster an image into several
parts (regions) according to the feature of image, for example, the
pixel value or the frequency response. More precisely, image
segmentation is the process of assigning a label to every pixel in an
image such that pixels with the same label share certain visual
characteristics. The result of image segmentation is a set of segments
that collectively cover the entire image, or a set of contours extracted
from the image. Several image segmentation algorithms were
proposed to segment an image before recognition or compression. Up
to now, many image segmentation algorithms exist and be
extensively applied in science and daily life. According to their
segmentation method, we can approximately categorize them into
region-based segmentation, data clustering, and edge-base
segmentation. In this paper, we give a study of several popular image
segmentation algorithms that are available.
Abstract: In this paper we present a classification of the various technologies applied for the solution of the portfolio selection problem according to the discipline and the methodological framework followed. We provide a concise presentation of the emerged categories and we are trying to identify which methods considered obsolete and which lie at the heart of the debate. On top of that, we provide a comparative study of the different technologies applied for efficient portfolio construction and we suggest potential paths for future work that lie at the intersection of the presented techniques.
Abstract: The growing number of computer viruses and the
detection of zero day malware have been the concern for security
researchers for a large period of time. Existing antivirus products
(AVs) rely on detecting virus signatures which do not provide a full
solution to the problems associated with these viruses. The use of
logic formulae to model the behaviour of viruses is one of the most
encouraging recent developments in virus research, which provides
alternatives to classic virus detection methods. In this paper, we
proposed a comparative study about different virus detection
techniques. This paper provides the advantages and drawbacks of
different detection techniques. Different techniques will be used in
this paper to provide a discussion about what technique is more
effective to detect computer viruses.
Abstract: Adequate analgesia following caesarean section
decreases morbidity, hastens ambulation, improves patient outcome
and facilitates care of the newborn. Intrathecal magnesium, an
NMDA antagonist, has been shown to prolong analgesia without
significant side effects in healthy parturients. The aim of this study
was to evaluate the onset and duration of sensory and motor block,
hemodynamic effect, postoperative analgesia, and adverse effects of
magnesium or fentanyl given intrathecally with hyperbaric 0.5%
bupivacaine in patients with mild preeclampsia undergoing caesarean
section. Sixty women with mild preeclampsia undergoing elective
caesarean section were included in a prospective, double blind,
controlled trial. Patients were randomly assigned to receive spinal
anesthesia with 2 mL 0.5% hyperbaric bupivacaine with 12.5 μg
fentanyl (group F) or 0.1 ml of 50% magnesium sulphate (50 mg)
(group M) with 0.15ml preservative free distilled water. Onset,
duration and recovery of sensory and motor block, time to maximum
sensory block, duration of spinal anaesthesia and postoperative
analgesic requirements were studied. Statistical comparison was
carried out using the Chi-square or Fisher’s exact tests and
Independent Student’s t-test where appropriate. The onset of both
sensory and motor block was slower in the magnesium group. The
duration of spinal anaesthesia (246 vs. 284) and motor block (186.3
vs. 210) were significantly longer in the magnesium group. Total
analgesic top up requirement was less in group M. Hemodynamic
parameters were similar in both the groups. Intrathecal magnesium
caused minimal side effects. Since Fentanyl and other opioid
congeners are not available throughout the country easily,
magnesium with its easy availability and less side effect profile can
be a cost effective alternative to fentanyl in managing pregnancy
induced hypertension (PIH) patients given along with Bupivacaine
intrathecally in caesarean section.
Abstract: In this research, a questionnaire survey was conducted
to measure nap, drowsiness and fatigue of drivers who work for long
shifts, to discuss about the work environment and health conditions for
taxi and bus drivers who work at night-time. The questionnaire sheet
used for this research was organized into the following categories:
tension/tiredness, drowsiness while driving, and the nap situation
during night-time work. The number of taxi drivers was 127 and the
number of bus drivers was 40. Concerning the results of a comparison
of nap hours of taxi and bus drivers, the taxi drivers’ nap hours are
overwhelmingly shorter, and also the frequency of drivers who
experience drowsiness is higher. The burden on bus drivers does not
change because of the system of a two-driver rotation shift. In
particular, the working environment of the taxi driver may lead to
greater fatigue accumulation than the bus driver’s environment.
Abstract: Based on application requirements, nodes are static or
mobile in Wireless Sensor Networks (WSNs). Mobility poses
challenges in protocol design, especially at the link layer requiring
mobility adaptation algorithms to localize mobile nodes and predict
link quality to be established with them. This study implements
XMAC and Berkeley Media Access Control (BMAC) routing
protocols to evaluate performance under WSN’s static and mobility
conditions. This paper gives a comparative study of mobility-aware
MAC protocols. Routing protocol performance, based on Average
End to End Delay, Average Packet Delivery Ratio, Average Number
of hops, and Jitter is evaluated.
Abstract: Crops diversity and maintaining and enhancing the
fertility of agricultural lands are basic principles of organic farming.
With a wider range of crops in agroecosystem can improve the ability
to control weeds, pests and diseases, and the performance of crops
rotation and food safety. In this sense, the main objective of the
research was to study the productivity and chemical composition of
some alternative crops and their adaptability to soil and climatic
conditions of the agricultural area in Southern Romania and to
cultivation in the organic farming system. The alternative crops were:
lentil (7 genotypes); five species of grain legumes (5 genotypes); four
species of oil crops (5 genotypes). The seed production was, on
average: 1343 kg/ha of lentil; 2500 kg/ha of field beans; 2400 kg/ha
of chick peas and blackeyed peas; more than 2000 kg/ha of atzuki
beans, over 1250 kg/ha of fenugreek; 2200 kg/ha of safflower; 570
kg/ha of oil pumpkin; 2150 kg/ha of oil flax; 1518 kg/ha of camelina.
Regarding chemical composition, lentil seeds contained: 22.18%
proteins, 3.03% lipids, 33.29% glucides, 4.00% minerals, and 259.97
kcal energy values. For field beans: 21.50% proteins, 4.40% lipids,
63.90% glucides, 5.85% minerals, 395.36 kcal energetic value. For
chick peas: 21.23% proteins, 4.55% lipids, 53.00% glucides, 3.67%
minerals, 348.22 kcal energetic value. For blackeyed peas: 23.30%
proteins, 2.10% lipids, 68.10% glucides, 3.93% minerals, 350.14 kcal
energetic value. For adzuki beans: 21.90% proteins, 2.60% lipids,
69.30% glucides, 4.10% minerals, 402.48 kcal energetic value. For
fenugreek: 21.30% proteins, 4.65% lipids, 63.83% glucides, 5.69%
minerals, 396.54 kcal energetic value. For safflower: 12.60%
proteins, 28.37% lipids, 46.41% glucides, 3.60% minerals, 505.78
kcal energetic value. For camelina: 20.29% proteins, 31.68% lipids,
36.28% glucides, 4.29% minerals, 526.63 kcal energetic value. For
oil pumpkin: 29.50% proteins, 36.92% lipids, 18.50% glucides,
5.41% minerals, 540.15 kcal energetic value. For oil flax: 22.56%
proteins, 34.10% lipids, 27.73% glucides, 5.25% minerals, 558.45
kcal energetic value.
Abstract: Research Objectives: The roles and activities of
Human Resource Management (HRM) have changed a lot in the past
years. Driven by a changing environment and therefore new business
requirements, the scope of human resource (HR) activities has
widened. The extent to which these activities should focus on
strategic issues to support the long term success of a company has
been discussed in science for many years. As many economies of
Central and Eastern Europe (CEE) experienced a phase of transition
after the socialist era and are now recovering from the 2008 global
crisis it is needed to examine the current state of HR positioning.
Furthermore a trend in HR work developing from rather
administrative units to being strategic partners of management can be
noticed. This leads to the question of better understanding the
underlying competencies which are necessary to support
organisations. This topic was addressed by the international study
“HR Competencies in international comparison”. The quantitative
survey was conducted by the Institute for Human Resources &
Organisation of FHWien University of Applied Science of WKW (A)
in cooperation with partner universities in the countries Bosnia-
Herzegovina, Croatia, Serbia and Slovenia. Methodology: Using the
questionnaire developed by Dave Ulrich we tested whether the HR
Competency model can be used for Austria, Bosnia and Herzegovina,
Croatia, Serbia and Slovenia. After performing confirmatory and
exploratory factor analysis for the whole data set containing all five
countries we could clearly distinguish between four competencies. In
a further step our analysis focused on median and average
comparisons between the HR competency dimensions. Conclusion:
Our literature review, in alignment with other studies, shows a
relatively rapid pace of development of HR Roles and HR
Competencies in BCSS in the past decades. Comparing data from
BCSS and Austria we still can notice that regards strategic orientation
there is a lack in BCSS countries, thus competencies are not as
developed as in Austria. This leads us to the tentative conclusion that
HR has undergone a rapid change but is still in a State of Transition
from being a rather administrative unit to performing the role of a
strategic partner.
Abstract: Elastomeric polymer foam has been used widely in
the automotive industry, especially for isolating unwanted vibrations.
Such material is able to absorb unwanted vibration due to its
combination of elastic and viscous properties. However, the ‘creep
effect’, poor stress distribution and susceptibility to high
temperatures are the main disadvantages of such a system.
In this study, improvements in the performance of elastomeric
foam as a vibration isolator were investigated using the concept of
Foam Filled Fluid (FFFluid). In FFFluid devices, the foam takes the
form of capsule shapes, and is mixed with viscous fluid, while the
mixture is contained in a closed vessel. When the FFFluid isolator is
affected by vibrations, energy is absorbed, due to the elastic strain of
the foam. As the foam is compressed, there is also movement of the
fluid, which contributes to further energy absorption as the fluid
shears. Also, and dependent on the design adopted, the packaging
could also attenuate vibration through energy absorption via friction
and/or elastic strain.
The present study focuses on the advantages of the FFFluid
concept over the dry polymeric foam in the role of vibration isolation.
This comparative study between the performance of dry foam and the
FFFluid was made according to experimental procedures. The paper
concludes by evaluating the performance of the FFFluid isolator in
the suspension system of a light vehicle. One outcome of this
research is that the FFFluid may preferable over elastomer isolators
in certain applications, as it enables a reduction in the effects of high
temperatures and of ‘creep effects’, thereby increasing the reliability
and load distribution. The stiffness coefficient of the system has
increased about 60% by using an FFFluid sample. The technology
represented by the FFFluid is therefore considered by this research
suitable for application in the suspension system of a light vehicle.
Abstract: 3-roller conical bending process is widely used in the
industries for manufacturing of conical sections and shells. It
involves static as well dynamic bending stages. Analytical models for
prediction of bending force during static as well as dynamic bending
stage are available in the literature. In this paper bending forces
required for static bending stage and dynamic bending stages have
been compared using the analytical models. It is concluded that force
required for dynamic bending is very less as compared to the bending
force required during the static bending stage.
Abstract: Given the limited research on Small and Mediumsized
Enterprises’ (SMEs) contribution to Corporate Social
Responsibility (CSR) and even scarcer research on Swiss SMEs, this
paper helps to fill these gaps by enabling the identification of supranational
SME parameters. Thus, the paper investigates the current
state of SME practices in Switzerland and across 15 other countries.
Combining the degree to which SMEs demonstrate an explicit (or
business case) approach or see CSR as an implicit moral activity with
the assessment of their attributes for “variety of capitalism” defines
the framework of this comparative analysis. To outline Swiss small
business CSR patterns in particular, 40 SME owner-managers were
interviewed. A secondary data analysis of studies from different
countries laid groundwork for this comparative overview of small
business CSR. The paper identifies Swiss small business CSR as
driven by norms, values, and by the aspiration to contribute to
society, thus, as an implicit part of the day-to-day business. Similar to
most Central European, Mediterranean, Nordic, and Asian countries,
explicit CSR is still very rare in Swiss SMEs. Astonishingly, also
British and American SMEs follow this pattern in spite of their strong
and distinctly liberal market economies. Though other findings show
that nationality matters this research concludes that SME culture and
an informal CSR agenda are strongly formative and superseding even
forces of market economies, nationally cultural patterns, and
language. Hence, classifications of countries by their market system,
as found in the comparative capitalism literature, do not match the
CSR practices in SMEs as they do not mirror the peculiarities of their
business. This raises questions on the universality and
generalisability of unmediated, explicit management concepts,
especially in the context of small firms.
Abstract: In this study, three robust predicting methods, namely artificial neural network (ANN), adaptive neuro fuzzy inference system (ANFIS) and support vector machine (SVM) were used for computing the resonant frequency of A-shaped compact microstrip antennas (ACMAs) operating at UHF band. Firstly, the resonant frequencies of 144 ACMAs with various dimensions and electrical parameters were simulated with the help of IE3D™ based on method of moment (MoM). The ANN, ANFIS and SVM models for computing the resonant frequency were then built by considering the simulation data. 124 simulated ACMAs were utilized for training and the remaining 20 ACMAs were used for testing the ANN, ANFIS and SVM models. The performance of the ANN, ANFIS and SVM models are compared in the training and test process. The average percentage errors (APE) regarding the computed resonant frequencies for training of the ANN, ANFIS and SVM were obtained as 0.457%, 0.399% and 0.600%, respectively. The constructed models were then tested and APE values as 0.601% for ANN, 0.744% for ANFIS and 0.623% for SVM were achieved. The results obtained here show that ANN, ANFIS and SVM methods can be successfully applied to compute the resonant frequency of ACMAs, since they are useful and versatile methods that yield accurate results.
Abstract: This article presents two methods for the
compensation of harmonics generated by a nonlinear load. The first is
the classic method P-Q. The second is the controller by modern
method of artificial intelligence specifically fuzzy logic. Both
methods are applied to a shunt Active Power Filter (sAPF) based on a
three-phase voltage converter at five levels NPC topology. In
calculating the harmonic currents of reference, we use the algorithm
P-Q and pulse generation, we use the intersective PWM. For
flexibility and dynamics, we use fuzzy logic. The results give us clear
that the rate of Harmonic Distortion issued by fuzzy logic is better
than P-Q.
Abstract: Present study is carried out on six lane divided urban
arterial road in Patna and Pune city of India. Both the road having
distinct differences in terms of the vehicle composition and the road
side parking. Arterial road in Patan city has 33% of non-motorized
mode, whereas Pune arterial road dominated by 65% of Two wheeler.
Also road side parking is observed in Patna city. The field studies
using videography techniques are carried out for traffic data
collection. Data are extracted for one minute duration for vehicle
composition, speed variation and flow rate on selected arterial road of
the two cities. Speed flow relationship is developed and capacity is
determine. Equivalency factor in terms of dynamic car unit is
determine to represent the vehicle is single unit. The variation in the
capacity due to side friction, presence of non motorized traffic and
effective utilization of lane width is compared at concluding remarks.