Abstract: This paper proposes the designing direct adaptive
neural controller to apply for a class of a nonlinear pendulum
dynamic system. The radial basis function (RBF) neural adaptive
controller is robust in presence of external and internal uncertainties.
Both the effectiveness of the controller and robustness against
disturbances are importance of this paper. The simulation results
show the promising performance of the proposed controller.
Abstract: Applied industrial engineering is concerned with
imparting employable skills to improve the productivity for current
situation of products and services. The purpose of this case study is to
present the results of an initial research study conducted to identify
the desired professional characteristics of an industrial engineer with
an undergraduate degree and the emerging topic areas that should be
incorporated into the curriculum to prepare industrial engineering
(IE) graduates for the future workforce. Conclusions and
recommendations for applied industrial engineering syllabus have
been gathered and reported below. A two-pronged approach was
taken which included a method of benchmarking by comparing the
applied industrial engineering curricula of various universities and an
industry survey to identify job market requirements. This
methodology produced an analysis of the changing nature of
industrial engineering from learning to practical education. A
curriculum study for engineering is a relatively unexplored area of
research in the Middle East, much less for applied industrial
engineering. This work is an effort to bridge the gap between
theoretical study in the classroom and the real world work
applications in the industrial and service sectors.
Abstract: Artificial Immune Systems (AIS), inspired by the
human immune system, are algorithms and mechanisms which are
self-adaptive and self-learning classifiers capable of recognizing and
classifying by learning, long-term memory and association. Unlike
other human system inspired techniques like genetic algorithms and
neural networks, AIS includes a range of algorithms modeling on
different immune mechanism of the body. In this paper, a mechanism
of a human immune system based on apoptosis is adopted to build an
Intrusion Detection System (IDS) to protect computer networks.
Features are selected from network traffic using Fisher Score. Based
on the selected features, the record/connection is classified as either
an attack or normal traffic by the proposed methodology. Simulation
results demonstrates that the proposed AIS based on apoptosis
performs better than existing AIS for intrusion detection.
Abstract: The primary purpose of this paper is to explain the
impact of successful classroom management on the academic
achievements of students, the importance of positive relationship
between teacher and students, among students, between teacher and
parents. Effective communication plays an important role to
encourage students study hard and learn materials which are covered
by the teacher in the class. Friendly relationships among students
other than their preferred friends help them to have team working and
be socialized. In addition, a well-organized classroom arrangement
enhances students learning. As the consequence of successful
classroom management students should feel responsibility and need
to feel it. The one who is responsible to provide a comfortable
environment and help students learn is the manager of the classroom
who is named Teacher.
Abstract: Existing methods of data mining cannot be applied on
spatial data because they require spatial specificity consideration, as
spatial relationships.
This paper focuses on the classification with decision trees, which
are one of the data mining techniques. We propose an extension of
the C4.5 algorithm for spatial data, based on two different approaches
Join materialization and Querying on the fly the different tables.
Similar works have been done on these two main approaches, the
first - Join materialization - favors the processing time in spite of
memory space, whereas the second - Querying on the fly different
tables- promotes memory space despite of the processing time.
The modified C4.5 algorithm requires three entries tables: a target
table, a neighbor table, and a spatial index join that contains the
possible spatial relationship among the objects in the target table and
those in the neighbor table. Thus, the proposed algorithms are applied
to a spatial data pattern in the accidentology domain.
A comparative study of our approach with other works of
classification by spatial decision trees will be detailed.
Abstract: The influence of three different types of halloysite
nanotubes (HNTs) with different dimensions, namely as camel lake
(CLA), Jarrahdale (JA) and Matauri Bay (MB), on their reinforcing
ability of ethylene propylene dine monomer (EPDM) were
investigated by varying the HNTs loading (from 0-15 phr).
Mechanical properties of the nanocomposites improved with addition
of all three HNTs, but CLA based nanocomposites exhibited a
significant enhancement compared to the other HNTs. For instance,
tensile properties of EPDM nanocomposites increased by 120%,
256% and 340% for MB, JA and CLA, respectively, with addition of
15 phr of HNTs. This could be due to the higher aspect ratio and
higher surface area of CLA compared to others. Scanning electron
microscopy (SEM) of nanocomposites at 15 phr of HNT loadings
showed low amounts of pulled-out nanotubes which confirmed the
presence of more embedded nanotubes inside the EPDM matrix, as
well as aggregates within the fracture surface of EPDM/HNT
nanocomposites
Abstract: India holds 17.5% of the world’s population but has
only 2% of the total geographical area of the world where 27.35% of
the area is categorized as wasteland due to lack of or less
groundwater. So there is a demand for excessive groundwater for
agricultural and non agricultural activities to balance its growth rate.
With this in mind, an attempt is made to find the groundwater
potential zone in Gomukhi Nadhi sub basin of Vellar River basin,
TamilNadu, India covering an area of 1146.6 Sq.Km consists of 9
blocks from Peddanaickanpalayam to Virudhachalam in the sub
basin. The thematic maps such as Geology, Geomorphology,
Lineament, Landuse and Landcover and Drainage are prepared for
the study area using IRS P6 data. The collateral data includes rainfall,
water level, soil map are collected for analysis and inference. The
digital elevation model (DEM) is generated using Shuttle Radar
Topographic Mission (SRTM) and the slope of the study area is
obtained. ArcGIS 10.1 acts as a powerful spatial analysis tool to find
out the ground water potential zones in the study area by means of
weighted overlay analysis. Each individual parameter of the thematic
maps are ranked and weighted in accordance with their influence to
increase the water level in the ground. The potential zones in the
study area are classified viz., Very Good, Good, Moderate, Poor with
its aerial extent of 15.67, 381.06, 575.38, 174.49 Sq.Km respectively.
Abstract: In an urban area the location allocation of emergency
services mobile units, such as ambulances, police patrol cars must be
designed so as to achieve a prompt response to demand locations.
In this paper the partition of a given urban network into distinct
sub-networks is performed such that the vertices in each component
are close and simultaneously the sums of the corresponding
population in the sub-networks are almost uniform. The objective
here is to position appropriately in each sub-network a mobile
emergency unit in order to reduce the response time to the demands.
A mathematical model in framework of graph theory is developed.
In order to clarify the corresponding method a relevant numerical
example is presented on a small network.
Abstract: GRF, Growth regulating factor, genes encode a novel
class of plant-specific transcription factors. The GRF proteins play a
role in the regulation of cell numbers in young and growing tissues
and may act as transcription activations in growth and development
of plants. Identification of GRF genes and their expression are
important in plants to performance of the growth and development of
various organs. In this study, to better understanding the structural
and functional differences of GRFs family, 45 GRF proteins
sequences in A. thaliana, Z. mays, O. sativa, B. napus, B. rapa, H.
vulgare and S. bicolor, have been collected and analyzed through
bioinformatics data mining. As a result, in secondary structure of
GRFs, the number of alpha helices was more than beta sheets and in
all of them QLQ domains were completely in the biggest alpha helix.
In all GRFs, QLQ and WRC domains were completely protected
except in AtGRF9. These proteins have no trans-membrane domain
and due to have nuclear localization signals act in nuclear and they
are component of unstable proteins in the test tube.
Abstract: Recently, there have been a lot of earthquakes in Japan.
It is necessary to promote seismic isolation devices for buildings. The
devices have been hardly diffused in attached houses, because the
devices are very expensive. We should develop a low-cost seismic
isolation device for detached houses. We suggested a new seismic
isolation device which uses a two-layer circular tube as a unit. If
hysteresis is produced in the two-layer circular tube under lateral
compression load, we think that the two-layer circular tube can have
energy absorbing capacity. It is necessary to contact the outer layer
and the inner layer to produce hysteresis. We have previously reported
how the inner layer comes in contact with the outer layer from a
perspective of analysis used mechanics of materials. We have clarified
that the inner layer comes in contact with the outer layer under a lateral
compression load. In this paper, we explored contact area between the
outer layer and the inner layer under a lateral compression load by
using FEA. We think that changing the inner layer’s thickness is
effective in increase the contact area. In order to change the inner
layer’s thickness, we changed the shape of the inner layer. As a result,
the contact area changes depending on the inner layer’s thickness.
Additionally, we experimented to check whether hysteresis occurs in
fact. As a consequence, we can reveal hysteresis in the two-layer
circular tube under the condition.
Abstract: Molluca Collision Zone is located at the junction of
the Eurasian, Australian, Pacific and the Philippines plates. Between
the Sangihe arc, west of the collision zone, and to the east of
Halmahera arc is active collision and convex toward the Molluca Sea.
This research will analyze the behavior of earthquake occurrence in
Molluca Collision Zone related to the distributions of an earthquake
in each partition regions, determining the type of distribution of a
occurrence earthquake of partition regions, and the mean occurence
of earthquakes each partition regions, and the correlation between the
partitions region. We calculate number of earthquakes using partition
method and its behavioral using conventional statistical methods. In
this research, we used data of shallow earthquakes type and its
magnitudes ≥4 SR (period 1964-2013). From the results, we can
classify partitioned regions based on the correlation into two classes:
strong and very strong. This classification can be used for early
warning system in disaster management.
Abstract: Nations are still finding it quite difficult to win mega
sport competitions despite the major contribution of sport to society
in terms of social and economic development, personal health, and in
education. Even though the world of sports has been transformed into
a huge global economy, it is important to note that the first step of
sport is usually its introduction to children at school through physical
education or PE. In other words, nations who do not win mega sport
competitions also suffer from a weak and neglected PE system. This
problem of the neglect of PE systems is the main motivation of this
research aimed at examining the factors affecting the perceived
awareness of physical education teachers on the ICTs that are
adoptable for the teaching and learning of physical education. Two
types of research objectives will materialize this aim: relevant
theories will be identified in relation to the analysis of the perceived
ICT awareness of PE teachers and subsequent models will be
compiled and designed from existing literature; the empirical testing
of such theories and models will also be achieved through the survey
of PE teachers from the Camperdown magisterial district of the
KwaZulu-Natal province of South Africa. The main hypothesis at the
heart of this study is the relationship between the demographics of PE
teachers, their behavior both as individuals and as social entities, and
their perceived awareness of the ICTs that are adoptable for PE, as
postulated by existing literature; except that this study categorizes
human behavior under performance expectancy, computer attitude,
and social influence. This hypothesis was partially confirmed by the
survey conducted by this research in the sense that performance
expectancy and teachers’ age, gender, computer usage, and class size
were found to be the only factors affecting their awareness of ICTs
for physical education.
Abstract: Microarray technology is universally used in the study
of disease diagnosis using gene expression levels. The main
shortcoming of gene expression data is that it includes thousands of
genes and a small number of samples. Abundant methods and
techniques have been proposed for tumor classification using
microarray gene expression data. Feature or gene selection methods
can be used to mine the genes that directly involve in the
classification and to eliminate irrelevant genes. In this paper
statistical measures like T-Statistics, Signal-to-Noise Ratio (SNR)
and F-Statistics are used to rank the genes. The ranked genes are used
for further classification. Particle Swarm Optimization (PSO)
algorithm and Shuffled Frog Leaping (SFL) algorithm are used to
find the significant genes from the top-m ranked genes. The Naïve
Bayes Classifier (NBC) is used to classify the samples based on the
significant genes. The proposed work is applied on Lung and Ovarian
datasets. The experimental results show that the proposed method
achieves 100% accuracy in all the three datasets and the results are
compared with previous works.
Abstract: Due to the advancement of Internet technology, online
learning is widely used in higher education institutions. Online
learning offers several means of communication, including online
forum. Through online forum, students and instructors are able to
discuss and share their knowledge and expertise without having a
need to attend the face-to-face, ordinary classroom session. The
purposes of this study are to analyze the students’ levels of
participation and critical thinking, types of action and factors
influencing their participation in online forum. A total of 41
postgraduate students undertaking a course in educational technology
from a public university in Malaysia were involved in this study. In
this course, the students participated in a weekly online forum as part
of the course requirement. Based on the log data file extracted from
the online forum, the students’ type of actions (view, add, update,
delete posts) and their levels of participation (passive, moderate or
active) were identified. In addition, the messages posted in the forum
were analyzed to gauge their level of critical thinking. Meanwhile,
the factors that might influence their online forum participation were
measured using a 24-items questionnaire. Based on the log data, a
total of 105 posts were sent by the participants. In addition, the
findings show that (i) majority of the students are moderate
participants, with an average of two to three posts per person, (ii)
viewing posts are the most frequent type of action (85.1%), and
followed by adding post (9.7%). Furthermore, based on the posts
they made, the most frequent type of critical thinking observed was
justification (50 input or 19.0%), followed by linking ideas and
interpretation (47 input or 18%), and novelty (38 input or 14.4%).
The findings indicate that online forum allows for social interaction
and can be used to measure the students’ critical thinking skills. In
order to achieve this, monitoring students’ activities in the online
forum is recommended.
Abstract: The sub-task pattern in terms of deviations and defects
should be identified and understood in order to improve the quality of
practices in construction projects. Therefore, sub-task susceptibility
to exposure to deviations and defects has been evaluated and
classified via six classifications proposed in this study. Thirty-four
case studies of specific sub-tasks (from compression members in
constructed concrete structures) were collected from seven
construction projects in order to examine the study’s proposed
classifications. The study revealed that the sub-task has a high
sensitivity to deviation, where 91% of the cases were recorded as
deviations; however, only 19% of cases were recorded as defects.
Other findings were that the actual work during the execution process
is a high source of deviation for this sub-task (74%), while only 26%
of the source of deviation was due to both design documentation and
the actual work. These findings significantly imply that the study’s
proposed classifications could be used to determine the pattern of
each sub-task and develop proactive actions to overcome issues of
sub-task deviations and defects.
Abstract: Life Cycle Cost (LCC) is one of the goals and key
pillars of the construction management science because it comprises
many of the functions and processes necessary, which assist
organisations and agencies to achieve their goals. It has therefore
become important to design and control assets during their whole life
cycle, from the design and planning phase through to disposal phase.
LCCA is aimed to improve the decision making system in the
ownership of assets by taking into account all the cost elements
including to the asset throughout its life.
Current application of LCC approach is impractical during
misunderstanding of the advantages of LCC. This main objective of
this research is to show a different relationship between capital cost
and long-term running costs. One hundred and thirty eight actual
building projects in United Kingdom (UK) were used in order to
achieve and measure the above-mentioned objective of the study. The
result shown that LCC is one of the most significant tools should be
considered on the decision making process.
Abstract: The paper deals with communication standards for
control and production system. The authors formulate the
requirements for communication security protection. The paper is
focused on application protocols of the industrial networks and their
basic classification. The typical attacks are analysed and the safety
protection, based on requirements for specific industrial network is
suggested and defined in this paper.
Abstract: This paper presents a real-time visualization technique
and filtering of classified LiDAR point clouds. The visualization is
capable of displaying filtered information organized in layers by the
classification attribute saved within LiDAR datasets. We explain the
used data structure and data management, which enables real-time
presentation of layered LiDAR data. Real-time visualization is
achieved with LOD optimization based on the distance from the
observer without loss of quality. The filtering process is done in two
steps and is entirely executed on the GPU and implemented using
programmable shaders.
Abstract: The Port of Townsville conducts regular annual
maintenance dredging to maintain depths of its harbor basin and
approach channels for the navigational safety of the vessels against
the natural accumulation of marine sediments. In addition to the
regular maintenance dredging, the port undertakes emergency
dredging in cases where large quantities of sediments are mobilized
and deposited in port waters by cyclone or major flood events. The
maintenance dredging material derived from the port may be
disposed at sea or on land in accordance with relevant state and
commonwealth regulations. For the land disposal, the dredged mud
slurry is hydraulically placed into containment ponds and left to
undergo sedimentation and self-weight consolidation to form fill
material for land reclamation. This paper provides an overview of the
maintenance dredging at the Port of Townsville and emphasis on
maintenance dredging requirements, sediment quality, bathymetry,
dredging methods used, and dredged material disposal options.
Abstract: This paper explores the effects of gamification on
lower secondary school students’ motivation and engagement in the
classroom. Two-group posttest-only experimental design were
employed to study the influence of gamification teaching method
(GTM) when compared with conventional teaching method (CTM)
on 60 lower secondary school students. The Student Engagement
Instrument (SEI) and Intrinsic Motivation Inventory (IMI) were used
to assess students’ intrinsic motivation and engagement level towards
the respective teaching method. Finding indicates that students who
completed the GTM lesson were significantly higher in intrinsic
motivation to learn than those from the CTM. Although the result
were insignificant and only marginal difference in the engagement
mean, GTM still show better potential in raising student’s
engagement in class when compared with CTM. This finding proves
that the GTM is likely to solve the current issue of low motivation to
learn and low engagement in class among lower secondary school
students in Malaysia. On the other hand, despite being not significant,
higher mean indicates that CTM positively contribute to higher peer
support for learning and better teacher and student relationship when
compared with GTM. As a conclusion, gamification approach is
flexible and can be adapted into many learning content to enhance the
intrinsic motivation to learn and to some extent, encourage better
student engagement in class.