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Spam classification based on supervised learning using grasshopper optimization algorithm and artificial neural network
No full textThe electronic mailing system has in recent years become a timely and convenient way for the exchange of multimedia
messages across the cyberspace and computer networks in the global sphere. This proliferation has prompted most (if
not all) inboxes receiving junk email messages on numerous occasions every day. Due to these surges in spam attacks,
a number of approaches have been proposed to lessen the attacks across the globe significantly. The effect of previous
detection techniques has been weakened due to the adaptive nature of unsolicited email spam. Hence, resolving spam
detection (SD) problem is a challenging task. A regular class of the Artificial Neural Network (ANN) called Multi-Layer
Perceptron (MLP) was proposed in this study for email SD. The main idea of this research is to train a neural network
by leveraging a new nature-inspired metaheuristic algorithm referred to as a Grasshopper Optimization Algorithm
(GOA) to categorize emails as ham and spam. Evaluation of its performance was performed on an often-used standard
dataset. The results showed that the proposed MLP model trained by GOA achieves high accuracy of up to 94.25%
performance compared to other optimization
Urban B40 secondary school student creativity versus their rural counterparts
No full textCreativity is an important asset to our nation Malaysia as the need for "creative"workforce is
increasing. In a report by Sinar Harian, Malaysia was ranked 35th in the Global Innovation Index (GII)
and resides among middle income countries endeavouring to close the innovation gap. Following this
fact, this research was proposed with the main objective of identifying real creativity level of B40
Malaysian students. The research instrument was a questionnaire modified according to Torrance
Creative Thinking Test, where its Verbal Test and Figural Test were fashioned to measure creativity
based on the four measuring indexes proposed by Yong, namely Originality, Fluency, Flexibility, and
Elaboration. Datas procured were analyzed via descriptive statistics; from it several creativity aspect
suggestions that could be implemented in Malaysia were brought forward. The findings of this
research can be leveraged by stakeholders when planning the social system, education, work,
economy, and improving Malaysia's standings in the Global Creativity and Global Creative Class indexes
to similar heights as other Asia Pasific countries
Kebajikan kanak-kanak dalam jagaan institusi: Keperluan pembentukan jaringan kebajikan Perkhidmatan
No full textAn adaptive low power schedule for wireless sensor network
No full textA Wireless Sensor Network (WSN) is used in many applications such as remote monitoring and tracking, healthcare,
industrial settings, automated and self-adjusting systems at homes and factories. In these systems, energy
consumption is a major concern as most devices in the network rely on small batteries for energy source. In such
cases, minimization of energy usage can prolong the lifetime of sensor’s battery. Therefore, this paper proposed a
strategy to improve the efficiency of power consumption in WSN by decreasing the number of idle listening state
which further reduces power consumption. By doing this, it is expected that network life time can be prolonged.
Undoubtedly, large amount of energy is wasted in idle listening state. We intelligently improved the original TPO
technique in order to achieve less power consumption. The experiments is conducted by using Omnet++ 4.6 with
Mixim library and the results showed that when compared with the original TPO technique, the proposed technique
achieves significant energy saving which is up to 39.3% better than the original TPO technique
Health-related quality of life profiles among overweight and obese individuals in a Malaysia’s public university
No full textIntroduction: The global epidemic of overweight and obesity presents a major challenge in the
health status of the society as it impacts both physiological and psychosocial aspects of the
individuals. Hence, this study attempts to explore HRQoL profile among staff and students with
BMI≥25kg/m2 of a public university in Terengganu, Malaysia and to compare this profile based
on their socio-demographic variables.
Experimental: This cross-sectional study employed convenience sampling. Anthropometric
measurement comprised height (cm), weight (kg), and body mass index (BMI), were calculated.
HRQoL was measured using the Short Form 12 Health Survey (SF-12) physical component score
(PCS) and mental component score (MCS), with higher scores indicated better quality of life. Data
was analysed using SPSS 23.0, employing descriptive and parametric tests.
Results: Eligible 107 Muslim participants were recruited (age = 26.28±8.01; female = 82.2%;
students = 71.0%). Over half of the participants were obese (n=58, 54.2%). Outcomes
demonstrated the participants’ HRQoL was moderate, in which overweight participants had
better PCS (mean = 47.38 ± 6.99 versus 45.76 ± 9.82) but lower in MCS (mean = 40.50±8.31 versus
41.34±8.39), compared to obese individuals. Nevertheless, there were no different variables in
association between the selected socio-demographic variables i.e. age of participants, gender,
occupations and income levels either with PCS or MCS (p>0.05).
Conclusion: These results suggest a potentially greater risk of poor HRQoL among excess weight
individuals with regard to the mental health component. Thus, efforts should be escalated in
weight loss approaches to continuously improve mental status of overweight and obese
individuals
Track student attendance at a time of the covid-19 pandemic using location-finding technology
No full textWith the improvement of innovation that has become increasingly unexpected and modern, the use of
cell phones has become the primary option in supervising various issues of life. The Covid - 19
episode is starting to take the course to move from learning strategies to open distance learning. Open
distance learning is an idea where students rate addresses from different locations. Among the
exercises affected by this change is the way to record student participation and collaboration through
web addresses, rather than the usual way of being in a similar classroom while talking. Global
Positioning System (GPS) is a global satellite path frame that provides area and time synchronization.
This methodology can help teachers monitor their students' attitudes throughout the learning meeting.
GPS activity is based on the triangulation technique where the area is determined by estimating the
distance to the satellites. Accordingly, iHadir was recommended to overcome the issue of pursuing
student participation. iHadir is a versatile application framework that can find the student 's area
during a learning meeting. This app can be used as another option in checking student engagement
during web-based learning. IHadir will help increase the validity of sharing records during web-based
learning
An identification of Arabic language students' attitudes and achievements in Malaysian public universities
No full textAttitude is one of the crucial elements that influence the thoughts and actions of a student. The influence of
attitude causes a person to think, act, make perceptions and feelings in the face of an object, idea, situation
and value. Studies on student attitudes are significant because positive or negative attitudes often influence
student achievement. Thus, this study aims to identify Arabic language students' attitudes and achievements
in Malaysian public universities. For that purpose, three domains of attitude variables will be the main focus
of this study, namely cognitive, affective and psychomotor domains. This study is in the form of a survey
involving Malaysian public university students. The study respondents consisted of 494 Arabic language
students from 1,883 in eight Malaysian public universities offering Arabic bachelor's program and Arabic
language education. This study is designed using quantitative research. We use three sub-constructs, namely
cognitive, affective and psychomotor. A total of 5 items measure each sub construct. This study also
conducts exploratory factor analysis (EFA) and validation factor analysis (CFA). The data analyzed by
assisting the statistical Package for the Social Science (SPSS-23) software. This study's findings are that
students' positive attitude makes students always cooperate in each task and share information. In
conclusion, the student's attitude and ideas on language learning can ultimately improve student
achievement