Abstract: In this paper, a learning algorithm using neuronal networks to improve the roll stability and prevent the rollover in a single unit heavy vehicle is proposed. First, LQR control to keep balanced normalized rollovers, between front and rear axles, below the unity, then a data collected from this controller is used as a training basis of a neuronal regulator. The ANN controller is thereafter applied for the nonlinear side force model, and gives satisfactory results than the LQR one.
Abstract: The study is the way to identify the problems that
occur in organizing short course’s lifelong learning in the information
and communication technology (ICT) education which are faced by
the lecturer and staff at the Mara Skill Institute and Industrial
Training Institute in Pahang Malaysia. The important aspects of these
issues are classified to five which are selecting the courses
administrative. Fifty lecturers and staff were selected as a respondent.
The sample is selected by using the non-random sampling method
purpose sampling. The questionnaire is used as a research instrument
and divided into five main parts. All the data that gain from the
questionnaire are analyzed by using the SPSS in term of mean,
standard deviation and percentage. The findings showed, there are the
problems occur in organizing the short course for lifelong learning in
ICT education.
Abstract: One of the global combinatorial optimization
problems in machine learning is feature selection. It concerned with
removing the irrelevant, noisy, and redundant data, along with
keeping the original meaning of the original data. Attribute reduction
in rough set theory is an important feature selection method. Since
attribute reduction is an NP-hard problem, it is necessary to
investigate fast and effective approximate algorithms. In this paper,
we proposed two feature selection mechanisms based on memetic
algorithms (MAs) which combine the genetic algorithm with a fuzzy
record to record travel algorithm and a fuzzy controlled great deluge
algorithm, to identify a good balance between local search and
genetic search. In order to verify the proposed approaches, numerical
experiments are carried out on thirteen datasets. The results show that
the MAs approaches are efficient in solving attribute reduction
problems when compared with other meta-heuristic approaches.
Abstract: The aim of this paper is to propose a general
framework for storing, analyzing, and extracting knowledge from
two-dimensional echocardiographic images, color Doppler images,
non-medical images, and general data sets. A number of high
performance data mining algorithms have been used to carry out this
task. Our framework encompasses four layers namely physical
storage, object identification, knowledge discovery, user level.
Techniques such as active contour model to identify the cardiac
chambers, pixel classification to segment the color Doppler echo
image, universal model for image retrieval, Bayesian method for
classification, parallel algorithms for image segmentation, etc., were
employed. Using the feature vector database that have been
efficiently constructed, one can perform various data mining tasks
like clustering, classification, etc. with efficient algorithms along
with image mining given a query image. All these facilities are
included in the framework that is supported by state-of-the-art user
interface (UI). The algorithms were tested with actual patient data
and Coral image database and the results show that their performance
is better than the results reported already.
Abstract: Sentiment analysis means to classify a given review
document into positive or negative polar document. Sentiment
analysis research has been increased tremendously in recent times
due to its large number of applications in the industry and academia.
Sentiment analysis models can be used to determine the opinion of
the user towards any entity or product. E-commerce companies can
use sentiment analysis model to improve their products on the basis
of users’ opinion. In this paper, we propose a new One-class Support
Vector Machine (One-class SVM) based sentiment analysis model
for movie review documents. In the proposed approach, we initially
extract features from one class of documents, and further test the
given documents with the one-class SVM model if a given new test
document lies in the model or it is an outlier. Experimental results
show the effectiveness of the proposed sentiment analysis model.
Abstract: The purpose of the study is to investigate the level of
intrinsic motivation of trainers after attending a Continuous
Professional Development Course (CPD) organized by Institute of
Teacher Training Malaysia titled, “Transformation of Teaching and
Learning the Fun Way”. This study employed a survey whereby 96
teacher trainers were given Situational Intrinsic Motivational Scale
(SIMS) Instruments. Confirmatory factor analysis was carried out to
get the validity of this instrument in local setting. Data were analyzed
with SPSS for descriptive statistic. Semi- structured interviews were
also administrated to collect qualitative data on participants’
experiences after participating in the two-day fun-filled program. The
findings showed that the participants’ level of intrinsic motivation
showed higher mean than the amotivation. The results revealed that
the intrinsic motivation mean is 19.0 followed by Identified
regulation with a mean of 17.4, external regulation 9.7 and
amotivation 6.9. The interview data also revealed that the participants
were motivated after attending this training program. It can be
concluded that this program, which was organized by Institute of
Teacher Training Malaysia, was able to enhance participants’ level of
motivation. Self-Determination Theory (SDT) as a multidimensional
approach to motivation was utilized. Therefore, teacher trainers may
have more success using the “The fun way approach” in conducting
training program in future.
Abstract: Internship is a supervised and structured learning
experience related to one’s field of study or career goal. Internship
allows students to obtain work experience and the opportunity to
apply skills learned during university. Internship is a valuable
learning experience for students; however, literature on employer
assessment is scarce on Malaysian student’s internship experience.
This study focuses on employer’s perspective on student’s
performances during their three months of internship. The results are
based on the descriptive analysis of 45 sets of question gathered from
the on-site supervisors of the interns. The survey of 45 on-site
supervisor’s feedback was collected through postal mail. It was found
that, interns have not met their on-site supervisor’s expectations in
many areas. The significance of this study is employer’s assessment
on the internship shall be used as feedback to improve on ways how
to prepare students for their internship and employments in future.
Abstract: The research explored the effect of morphemic analysis
awareness on ESL secondary school students’ vocabulary acquisition.
The quasi-experimental study was conducted with 100 ESL
secondary school students in two experimental groups (inflectional
and derivational) and one control group. The students’ vocabulary
acquisition was assessed through two measures: Morph-Analysis Test
and Morph-Vocabulary 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 Morph-
Analysis Test and Vocabulary-Morphemic Test. However, the
inflectional group obtained a fairly higher score than the derivational
group. Thus, the findings of the research are discussed in two main
areas. First, individual instructions of two types of morphemic
awareness have contributed significant results on inflectional and
derivational awareness among the ESL secondary school students.
Nevertheless, derivational morphology achieved a significant but
relatively smaller amount of effect on secondary school students’
morphological awareness compared to inflectional morphology in
this research. Second finding showed that the awareness of
inflectional and derivational morphology was found significantly
related to vocabulary achievement of ESL secondary school students.
Nevertheless, inflectional morphemic awareness had higher
significant effect on ESL secondary school students’ vocabulary
acquisition. Despite these findings, the study implies that morphemic
analysis awareness can serve as an alternative strategy for ESL
secondary school students in acquiring English vocabulary.
Abstract: The aim of the study is to describe and analyze design
of mobile teaching for students collaborative learning in distance
higher education with a focus on mobile technologies as online
webinars (web-based seminars or conferencing) by using laptops,
smart phones, or tablets. These multimedia tools can provide face-toface
interactions, recorded flipped classroom videos and parallel chat
communications. The data collection consists of interviews with 22
students and observations of online face-to-face webinars, as well
two surveys. Theoretically, the study joins the research tradition of
Computer Supported Collaborative learning, CSCL, as well as
Computer Self-Efficacy, CSE concerned with individuals’ media and
information literacy. Important conclusions from the study
demonstrated mobile interactions increased student centered
learning. As the students were appreciating the working methods,
they became more engaged and motivated. The mobile technology
using among student also contributes to increased flexibility between
space and place, as well as media and information literacy.
Abstract: Cooperative groups through much research have been
recognized to churn remarkable achievements instead of solitary or
individualistic efforts. Based on Johnson and Johnson’s model of
cooperative learning, the five key components of cooperation are
positive interdependence, face-to-face promotive interaction,
individual accountability, social skills, and group processing. In
2011, the Malaysian Ministry of Higher Education (MOHE)
introduced the Holistic Student Development policy with the aim to
develop morally sound individuals equipped with lifelong learning
skills. The Community Service project was included in the
improvement initiative. The purpose of this study is to assess the
relationship of team-based learning in facilitating particularly
students’ positive interdependence and face-to-face promotive
interaction. The research methods involve in-depth interviews with
the team leaders and selected team members, and a content analysis
of the undergraduate students’ reflective journals. A significant
positive relationship was found between students’ progressive
outlook towards teamwork and the highlighted two components. The
key findings show that students have gained in their individual
learning and work results through teamwork and interaction with
other students. The inclusion of Community Service as a MOHE
subject resonates with cooperative learning methods that enhances
supportive relationships and develops students’ social skills together
with their professional skills.
Abstract: The customers use the best compromise criterion
between price and quality of service (QoS) to select or change
their Service Provider (SP). The SPs share the same market and
are competing to attract more customers to gain more profit. Due
to the divergence of SPs interests, we believe that this situation is a
non-cooperative game of price and QoS. The game converges to an
equilibrium position known Nash Equilibrium (NE). In this work, we
formulate a game theoretic framework for the dynamical behaviors
of SPs. We use Genetic Algorithms (GAs) to find the price and
QoS strategies that maximize the profit for each SP and illustrate
the corresponding strategy in NE. In order to quantify how this NE
point is performant, we perform a detailed analysis of the price of
anarchy induced by the NE solution. Finally, we provide an extensive
numerical study to point out the importance of considering price and
QoS as a joint decision parameter.
Abstract: Effective internal control system in the bursary unit of
tertiary educational institutions is geared toward achieving quality
teaching, learning and research environment and as well assist the
management of the institutions, particularly when decisions are to be
made. While internal control system exists in all institutions, the
outlined objectives above are far from being achieved. The paper
therefore assesses the effectiveness of internal control system in
tertiary educational institutions in Nasarawa State, Nigeria with
specific focus on the Nasarawa State Polytechnic, Lafia. The study is
survey, hence a simple closed ended questionnaire was developed
and administered to a sample of twenty seven (27) member staff from
the Bursary and the Internal audit unit of the Nasarawa State
Polytechnic, Lafia so as to obtain data for analysis purposes and to
test the study hypothesis. Responses from the questionnaire were
analysed using a simple percentage and chi square. Findings shows
that the right people are not assigned to the right job in the
department, budget, and management accounting were never used in
the institution’s operations and checking of subordinate by their
superior officers is not regular. This renders the current internal
control structure of the Polytechnic as ineffective and weak. The
paper therefore recommends that: transparency should be seen as
significant, as the institution work toward meeting its objectives, it
therefore means that the right staff be assigned the right job and
regular checking of the subordinates by their superiors be ensued.
Abstract: Sub-Saharan Africa is described as the second fastest
growing in mobile phone penetration in the world more than in the
United States or the European Union. Mobile phones have been used
to provide a lot of opportunities to improve people’s lives in the
region such as in banking, marketing, entertainment, and paying for
various bills such as water, TV, and electricity. However, the
potential of mobile phones to enhance teaching and learning has not
been explored. This study presents an experience of developing and
delivering SMS based quiz questions used to assess mastery of
subject content knowledge of science and mathematics secondary
school teachers in Tanzania. The SMS quizzes were used as a follow
up support mechanism to 500 teachers who participated in a project
to upgrade subject content knowledge of teachers in science and
mathematics subjects in Tanzania. Quizzes of 10-15 questions were
sent to teachers each week for 8 weeks and the results were analyzed
using SPSS. Results show that teachers who participated in chemistry
and biology subjects have better performance compared to those who
participated in mathematics and physics subjects. Teachers reported
some challenges that led to poor performance, This research has
several practical implications for those who are implementing or
planning to use mobile phones in teaching and learning especially in
rural secondary schools in sub-Saharan Africa.
Abstract: Experience is what makes a man perfect. Though we
tend to learn many a different things in life through practice still we
need to go an extra mile to gain experience which would be profitable
only when it is integrated with regular practice. A clear phenomenal
idea is that every teacher is a learner. The centralized idea of this paper would focus on the integrated
practices carried out among the students of Jizan University which
enhances learning through experiences. Integrated practices like
student-directed activities, balanced curriculum, phonological based
activities and use of consistent language would enlarge the vision and
mission of students to earn experience through learning. Students
who receive explicit instruction and guidance could practice the skills
and strategies through student-directed activities such as peer tutoring
and cooperative learning. The second effective practice is to use
consistent language. Consistent language provides students a model
for talking about the new concepts which also enables them to
communicate without hindrances. Phonological awareness is an
important early reading skill for all students. Students generally have
phonemic awareness in their home language can often transfer that
knowledge to a second language. And also a balanced curriculum
requires instruction in all the elements of reading. Reading is the
most effective skill when both basic and higher-order skills are
included on a daily basis. Computer based reading and listening skills
will empower students to understand language in a better way.
English language learners can benefit from sound reading instruction
even before they are fully proficient in English as long as the
instruction is comprehensible. Thus, if students have to be well
equipped in learning they should foreground themselves in various
integrated practices through multifarious experience for which
teachers are moderators and trainers. This type of learning prepares
the students for a constantly changing society which helps them to
meet the competitive world around them for better employability
fulfilling the vision and mission of the institution.
Abstract: The liberalisation of the education industry has
exposed the institute of higher learning (IHL) in Malaysia to the
financial challenges. Without good financial standing, public
institution will rely on the government funding. Ostensibly, this
contradicts with the government’s aspiration to make universities
self-sufficient. With stiff competition from private institutes of higher
learning, IHL need to be prepared at the forefront level. The
corporate identity itself is the entrance to the world of higher learning
and it is in this uniqueness, it will be able to distinguish itself from
competitors. This paper examined the perception of the stakeholders
at one of the public universities in the east coast region in Malaysia
on the perceived reputation and how the university communicate its
preparedness for self-sustainability through corporate identity. The
findings indicated while the stakeholders embraced the challenges in
facing the stiff competition and struggling market conditions, most of
them felt the university should put more efforts in mobilising the
corporate identity to its constituencies.
Abstract: Globally, many women are still disadvantaged when it
comes to business opportunities. Entrepreneurship development
programs, specifically designed to assist women entrepreneurs, are
assisting in solving this problem to a certain extent. The purpose of
this study is to identify the factors that motivate females to start their
own business. Females, from three different groups (2013, 2014 and
2015), who were all enrolled in a short learning program specifically
designed for women in early start-up stage or intending to start a
business, were asked what motivated them to start a business. The
results indicated that, from all three groups, the majority of the
women wanted to start a business to be independent and have
freedom and to add towards a social goal. The results further
indicated that in general, women would enter into entrepreneurship
activity due to pull factors rather than push factors.
Abstract: As computing technology advances, smartphone
applications can assist student learning in a pervasive way. For
example, the idea of using mobile apps for the PA Common Trees,
Pests, Pathogens, in the field as a reference tool allows middle school
students to learn about trees and associated pests/pathogens without
bringing a textbook. While working on the development of three heterogeneous mobile
apps, we ran into numerous challenges. Both the traditional waterfall
model and the more modern agile methodologies failed in practice.
The waterfall model emphasizes the planning of the duration for each
phase. When the duration of each phase is not consistent with the
availability of developers, the waterfall model cannot be employed.
When applying Agile Methodologies, we cannot maintain the high
frequency of the iterative development review process, known as
‘sprints’. In this paper, we discuss the challenges and solutions. We
propose a hybrid model known as the Relay Race Methodology to
reflect the concept of racing and relaying during the process of
software development in practice. Based on the development project,
we observe that the modeling of the relay race transition between any
two phases is manifested naturally. Thus, we claim that the RRM
model can provide a de fecto rather than a de jure basis for the core
concept in the software development model. In this paper, the background of the project is introduced first.
Then, the challenges are pointed out followed by our solutions.
Finally, the experiences learned and the future works are presented.
Abstract: Distance learning systems offer useful methods of
learning and usually contain a final course test or another form of
test. The paper proposes a web application for evaluating tests using
an expert system in distance learning systems. The proposed web
application is appropriate for didactic tests or tests with results for
subsequent studying follow-up courses. The web application works
with test questions and uses an expert system and LFLC tool for test
evaluation. After test evaluation, the results are visualized and shown
to the student.
Abstract: This study aimed to 1) develop pre-service teachers’
leadership skills through camp-based learning, and 2) develop preservice
teachers’ teamwork skills through camp-based learning. An
applied research methodology was used. The target group was
derived from a purposive selection. It involved 32 fourth-year
students in Early Childhood Education Program enrolling a course
entitled Seminar in Early Childhood Education provided during
second semester of academic year 2013. The treatment was camp-based
learning activities which applied a PDCA process including
four stages: 1) plan, 2) do, 3) check, and 4) act. Research instruments
were a learning camp program, a camp-based learning management
plan, a 5-level assessment form for leadership skills and a 5-level
assessment form for assessing teamwork skills. Data were analyzed
using descriptive statistics. Results were: 1) pre-service teachers’
leadership skills yielded the before treatment average score at x= 3.4,
S.D.=0.6 2and the after-treatment average score at x 4.29 , S.D.=0.66
pre-service teachers’ teamwork skills yielded the before-treatment
average score at x=3.31, S.D.=0.60 and the after-treatment average
score at x=4.42, S.D.=0.66 Both differences were statistically
significant at the .05 level. Thus, the pre-service teachers’ leadership
and teamwork skills were significantly improved through the camp-based
learning approach.
Abstract: Brain-Computer Interfaces (BCIs) measure brain
signals activity, intentionally and unintentionally induced by users,
and provides a communication channel without depending on the
brain’s normal peripheral nerves and muscles output pathway.
Feature Selection (FS) is a global optimization machine learning
problem that reduces features, removes irrelevant and noisy data
resulting in acceptable recognition accuracy. It is a vital step
affecting pattern recognition system performance. This study presents
a new Binary Particle Swarm Optimization (BPSO) based feature
selection algorithm. Multi-layer Perceptron Neural Network
(MLPNN) classifier with backpropagation training algorithm and
Levenberg-Marquardt training algorithm classify selected features.