Technical University of Malaysia Malacca
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Human resource management and technology vol 2
Full text linkThis module discusses the development of competitive edge through effective applications of best Human Resources Management & technology practices by providing students with a broad overview of Human Resources Management (HRM) in the talent acquisition (staffing, recruitment and selection) and retention, Human Resource planning, training and development, performance appraisal, compensation, career management and safety of employees. Students are also provided with the understanding of Employment Laws by knowing the rights and obligations of employers and employees.
Students will be exposed to key Human Resource Management and Technology issues, the use of e-Human Resource in transforming Human Resource service delivery using web-based technology and Human Resource Information System (HRIS) in transforming the firm's Human Resource practices and its Human Resource brand. The course also examines the trends in Human Resource technology and its impact resulting from the growth of social networking, compliance and reporting requirements.
Simulations, business games and presentation sessions directly related to Human Resources Management and technology will be assimilated to enhance students' understanding of the course
Optimizing wireless power transfer efficiency at 13.56 MHz using double negative metamaterials
No full textRecent advancements and innovations in wireless power transfer (WPT) technology have led to an increased demand for systems with high power transfer efficiency (PTE) and extended transmission distances to meet the needs of end users. However, many existing WPT systems suffer from limited PTE and restricted transmission ranges due to their reliance on inductive coupling. A significant drawback of inductive coupling is the sharp decline in PTE as the distance between the transmitter and receiver coils increases. To address these limitations, this study proposes the design of an inductive WPT system enhanced by the integration of metamaterials (MTMs) to improve PTE through magnetic field manipulation. By strategically positioning MTMs between the transmitter (Tx) and receiver (Rx) coils, the efficiency and range of WPT systems can be significantly enhanced. MTMs exhibit unique properties, such as negative refraction and evanescent wave amplification, which are particularly promising for improving PTE in WPT systems. At a separation distance of 70 mm, the implementation of negative permittivity MTMs and double-negative MTMs yields a remarkable improvement in PTE, achieving an increase of 180% compared to a conventional WPT system without MTM integration. Systems with MTM maintain better PTE at increasing lateral and angular misalignments, but at 90° misalignment, power transfer is almost impossible, even with MTM, due to complete misalignment of the fields.This study aims to provide a comprehensive analysis of the development and performance of negative permittivity and double-negative MTM-based WPT systems, offering critical insights into their potential for enhancing WPT efficiency and range
Performance comparison of UWB single balanced schottky diode mixers for RF front-end applications in 3-10 GHz band
No full textThis paper compares two single balanced mixer designs for ultra-wideband (UWB) of RF front-end at frequencies ranging from 3 to 10 GHz. The proposed mixer designs use two balun topologies for varying mixer performances. Thus, Design 1 incorporates a Coupled Line Balun and Design 2 incorporates a Branch Line Balun. Both designs make use of Skyworks' SMS7621 Schottky diodes, which have a low junction capacitance, and the Rogers RO4350B substrate, which has a dielectric constant of 3.48. The Coupled Line Balun (Design 1) offers a total length of 88 mm, whereas the Branch Line Balun (Design 2) creates a more compact structure with 48 mm. This paper's thorough analysis and measurements show each design's benefits and drawbacks in terms of circuit size and performance. The simulations and measurement results of both designs generally showed a conversion loss of less than 20 dB and LO-RF isolation of better than 50 dB
Towards lean thinking
Full text linkThis book, Towards Lean Thinking, is a culmination of decades of experience, observation, and collaboration within the manufacturing and industrial sectors. It aims to provide a comprehensive yet practical approach to understanding and implementing lean principles. The content draws heavily from real-world scenarios, offering insights into both the challenges and triumphs of adopting a lean mindset
AutiSim: A virtual reality simulation game based on the autism spectrum disorder
Full text linkTechnologies with altering reality like virtual reality
(VR) have become more relevant to the public for their capabilities in the entertainment and healthcare field, as well as affordable for everyone. However, the emphasis on mental health-related simulation is often ignored due to technical complexities and wrong representation. Therefore, this study leverages the immersive capabilities of VR to create an engaging and educational game experience that simulates the sensory and social challenges faced by individuals with autism spectrum disorder (ASD). The study involves designing and implementing a VR game that places users in various scenarios reflecting the daily experiences of autistic individuals. The VR game aims to educate players about common misconceptions, sensory sensitivities, and
social difficulties associated with autism. A literature review on XR technology and ASD was conducted during the pre-production phase to explore past research on autism in video games and shape the overall game vision. The study continues with developing animmersive simulation game using VR with locomotive motion controls and an artificial intelligence non-playable character (AI NPC) with Speech-To-Text function. Finally, the testing phase used two approaches: quantitative analysis, using the System Usability Scale (SUS) to assess usability and the Simulator Sickness Questionnaire (SSQ) to identify discomfort issues such as headaches and blurriness during gameplay, and qualitative analysis, gathering expert’s feedback on the VR game's content
and teaching effectiveness
Improving student engagement in learning requirement engineering subject using pair learning
Full text linkRequirement engineering is one of the disciplines in software engineering areas that play an important role in determining successful software development. Many researchers have highlighted the importance of requirement engineering aspects in software engineering. They pointed out that one of the difficulties of teaching requirement subjects is the preparation in the classroom to teach requirement engineering subject and make students engage. Learning requirement subject can be difficult for some students in the
classroom. In this paper, we presented a new engagement framework using pair work learning in the classroom. We adapted pair work and explored this approach in teaching and learning requirement engineering subject. With the assistance of the learning management system (Moodle platform – in our university, we called ULearn), the activities and assessments designed in pair, we lead the students to
linkage with engagement and lead them to learn
Towards sustainable diet: An inquiry of plant-based diet using protective motivation theory
Full text linkThis study explores the motivators and barriers in influencing Malaysian university students’ intentions to adopt plant-based diets with protective motivation theory. A cross-sectional survey involving 340 students from ten Malaysian universities was conducted using a structured questionnaire based on established scales for threat appraisal (perceived severity, vulnerability, intrinsic and extrinsic rewards), and coping appraisal (perceived response efficacy, self-efficacy and cost). The findings indicate that individuals with lower intrinsic rewards and higher response efficacy and self-efficacy are more likely to demonstrate the intent to adopt a plant-based diet. Gender differences tests reveal that males tend to perceive higher levels of intrinsic and extrinsic rewards for a
plant-based diet, while females have higher self-efficacy. By leveraging these insights, stakeholders can foster sustainable and healthy eating practices among young adults, contributing to broader environmental and public health objectives
Engaging minds through animation: The effectiveness of 2D content in medical health education
Full text linkThe article examines the effectiveness of 2D animated content as an engaging and innovative educational tool for mental health education. The study explores how such animations can enhance understanding and raise awareness of mental health disorders among diverse audiences. Among the ongoing difficulties mental health education faces are stigma, misunderstandings, and a dearth of interesting materials that successfully explain difficult disorders like bipolar disease. To this end, six user-friendly animated modules were developed, focusing on key aspects of Bipolar Disorder, including an introduction to the condition, its
symptoms, causes, prevalence, types, and available treatments. A structured evaluation process was employed, combining usability testing to measure knowledge retention with participant feedback to capture perceptions and experiences. The study engaged three target groups: healthcare professionals, multimedia experts involved in content creation, and members of the general public with varying levels of familiarity with Bipolar Disorder. By integrating insights from these groups, the research highlights the transformative potential of 2D animation in mental health education. Preliminary findings demonstrate that animated content significantly improves comprehension and awareness, presenting it as a dynamic, engaging, and accessible medium for disseminating information. These results underscore the promise of 2D animation in reducing
stigma and misconceptions about mental health disorders, paving the way for the development of future educational resources and interventions
Compact wideband antenna array with DGS-based metamaterial for efficient smartphone communication and SAR reduction
Full text linkThis study investigates a high-gain, miniaturized antenna array featuring semicircular Defected Ground Structures (DGSs) based metamaterial designed for wideband smartphone applications. The antenna array, measuring 49 × 25 mm2, is constructed on an FR4 substrate with a dielectric constant of 4.3 and a thickness of 1.6 mm. The design incorporates two orthogonal antennas, each with a U-shaped radiating patch and a semicircular DGS to control bandwidth and reduce size. A T-shaped stub is positioned at the center
of the U-shaped radiating area, with a star-shaped element attached to the leg of the T-shaped stub to enable wideband operation. The antenna demonstrates strong S11 performance, achieving approximately −38 dB at 5.8 GHz and −42 dB at 8.1 GHz, making it ideal for Sub-6 GHz and C-band applications. The proposed antenna array operates across a frequency range from 4 GHz to beyond 10 GHz, reaching a peak gain of 11 dBi and an efficiency of 95%. A time-domain analysis was conducted to verify radiation efficiency, and the
specific absorption rate (SAR) is approximately 0.0475 for 1 g of tissue and 0.0101 for 10 g of tissue at 4.5 GHz, confirming the array’s suitability for wideband smartphone devices within the target frequency band. The simulated and experimental results of the proposed antenna array show excellent agreement
A review of recent deep learning applications in wood surface defect identification
Full text linkWood is widely used in construction, art, and home applications due to its aesthetic appeal and favorable mechanical properties. However, environmental factors significantly affect the growth and preservation of
wood, often leading to defects that can reduce its performance and ornamental value. Researchers have introduced machine vision and deep learning methods to address the challenges of high labor costs and inefficiencies in identifying wood defects. Deep learning has shown great
success in image recognition tasks, yielding impressive results. This paper reviews previous work on deep-learning strategies for identifying wood surface defects. It also discusses data augmentation techniques to address limited defect data and explores transfer learning to enhance classification accuracy on small datasets. Finally, the paper examines the potential limitations of deep learning for defect identification and suggests future research directions