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Jaminan Kualiti dan Kawalan dalam Kejuruteraan Kimia
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The impact of technological and social factors on students’ engagement in online learning: Evidence based on self-determination theory
No full textLink to publisher's homepage at https://ijbt.unimap.edu.myThis study addresses and investigates university students’ engagement and perspectives on utilising online learning in Bangladesh. The goal of this study is to pinpoint the variables that affect students' engagement technologically and socially and to understand the level of students' engagement in an online learning environment. This research used the quantitative method. The respondents to this research were undergraduate and postgraduate students from both private and public universities in Bangladesh, located in different locations. The number of respondents was 201. A structured questionnaire obtained via Google Form was used to determine the level of engagement and understanding of using online learning. SPSS was used to analyse the data that had been gathered. Outcome has demonstrated that the technological factor influences students’ engagement, such as the necessity of a device or gadget. Also, social factors like engagement in classes and mental health issues positively influence students’ engagement in online learning. Overall engagement in online classes is low because there is less communication and assistance from classmates, and students' engagement during online learning is influenced by mental health issues. The self-determination theory has been adopted to represent this study’s variables and also to understand students’ engagement in online learning. This research's recommendations, based on the findings, include the necessity for serious measures to support students' psychological wellbeing and their personal and financial concerns, and that more engagement with classmates should be ensured and improved by the academicians and university authority
The trends and challenges of money mule investigation by Malaysian enforcement agency
No full textLink to publisher's homepage at https://ijbt.unimap.edu.myThis article discusses the roles played by the enforcement agency, the current money mule situation, and the challenges faced by enforcement agency investigation officers in money mule investigations. An interview with informant from one of the Malaysian Enforcement Department, was conducted to gather his insights. An enforcement officer launches a money mule investigation based on the victim’s police report or Suspicious Transaction Report (STR). Investigation into money mule cases received by law enforcement agency is guided by Penal Code 424 and AMLATFPUAA 2001, which clearly expound the offence implicated in the money mule syndicate. The output from the interview is analysed under content analysis, whereupon the large amount of extracted information is summarised and arranged into important themes that address the research objective. The major challenges faced in criminal investigation include lack of cooperation from telco, delayed response from banks when requested to provide crucial information, wrong public perceptions on enforcement agency’s aggressiveness to fight money mule, lengthy investigation procedure, limited resources and lackadaisical attitude towards money mule threat. The challenges undermine the fight to eradicate the money mule phenomenon, one of the most critical financial crime threats in Malaysia. A slew of changes that enforcement agency is keen to see are proposed, including a more proactive telco regulator, a shorter processing period by banks in responding to production orders from enforcement agencies, and a steeper involvement by the media to build public awareness
Algorithm and architecture of low computation FSHEXBS motion estimation for wireless video sensor networks
No full textMaster of Science in Electronic EngineeringThis project reviews the energy efficiency of several popular block-matching motion estimation algorithms that can be used in wireless video sensor network applications. Full search motion estimation provides the best image quality but requires high
computing power. Therefore, only fast search algorithms are considered for deployment in wireless video sensor networks, which generally operate in remote and battery constrained areas. However, the image quality of fast search algorithms also needs to be
considered in the comparison. The main objective of this project is to design a low computation Motion Estimation Module based on the selection of existing Hexagonal-Based Search (HEXBS) algorithm. It is called Fixed Steps Hexagonal-Based Block-Matching Motion Estimation algorithm (FSHEXBS) due to its reference design name. FSHEXBS is suitable to be used in wireless video sensor networks application while power consumption is the key concern for wireless video sensor networks, video quality
need to be in acceptable range. Acceptable range means human eyes ball observation is still able to interpret the video frames objects without serious image distortion. Therefore, FSHEXBS is being proposed due to its lower energy consumption capability
compared to existing fast search algorithms included Three Steps Search (TSS), Modified Diamond-Square Search (MDSS), Hexagonal-Based Search (HEXBS), Enhanced Hexagonal-Based Search (EHEXBS) and Full Search (FS). In this project,
block-matching algorithms are compared by using two criteria that are computation cost/energy consumption, and image quality. Comparison done across QCIF (176x144 pixels), CIF (352x288 pixels), and 4CIF (740x576 pixels) video formats for 10 different
benchmark videos. From the experiment results, FSHEXBS gives the best performance that fulfilled the need of wireless video sensor networks video compression application by offering average 21.32% image quality enhancement and 21.37% of computational cost saving compared to HEXBS. The proposed method is able to reduce the computational load by 95.11% and at the same time having almost equal image quality as compared to Full Search algorithm
Single line to ground fault distance estimation in medium voltage network based on measurement from secondary side of distribution substations
No full textMaster of Science in Electrical Power EngineeringFaults may occur in every power system network in the world. It can be caused by natural phenomenon and also human errors. Faults may cause damage to the system which resulting in system failure. Earth fault is the most common fault that occurrs in power system network. Faults cannot be avoided but the risk of damage caused by faults can be reduced. In order to reduce the risk, locations of fault must first be identified. Many methods can be used to identify fault locations in a network such as impedance-based method and wavelet method. The working principle of these methods are detecting fault locations using an algorithm which was created based on characteristics of the power network during fault events. The purpose of this project is to develop an algorithm regarding single line to ground fault distance estimation in medium voltage network based on measurement from secondary side of distribution substations. This project was done by modelling a medium voltage network using ATP-EMTP software. Based on the network model, measurement of voltage sag was taken when single line to ground fault occurs on the network. The measurement was taken at the secondary side of distribution transformer. All of the measurement data was then collected in order to train in artificial neural network (ANN) in MATLAB. Based on the fault location algorithm developed, it
is shown that it was able to estimate the fault location distance accurately. The average error of the detection was less than 0.5 km and this proves that the algorithm works perfectly in detecting fault locations in power system network. Thus, a fault detection
algorithm can be developed by using the voltage sag values collected
Comparative study on conventional controller and PID controller of power system dynamic stability
No full textMaster of Science in Electrical Power EngineeringThis report presents the comparative study on conventional controller and PID controller in a single machine infinite bus (SMIB). The controller is used to generate the supplementary damping control signals for an excitation system in order to damp out the
Low Frequency Oscillations (LFO). The system starts with formulating the mathematical modelling of a single machine infinite bus (SMIB) for simulating the system after experiencing a low frequency oscillation (LFO). The block diagram of the system has
been designed in MATLAB software to analyze the performance of a synchronous machine after facing a specific range of disturbance. The conventional controller and PID controller are generated and the simulation is conducted on different value of disturbance to observe the performance of the power system. The disturbance is set by increasing and decreasing the electrical power by 0.1 pu. Output waveform is being analyzed on the overshoot, peak time and settling time. Besides, the eigenvalue and damping ratio are also being analyzed to observe the stability of the system. Based on the analysis result, the PID controller gives a better performance as compared to conventional controller because the output produces lowest overshoot, peak time and settling time. Besides, the PID controller provides negative eigenvalue and highest value of damping ratio