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HidroGreens: Transformasi Keusahawanan Sosial Melalui Tanaman Cendawan
Keusahawanan sosial memainkan peranan penting dalam mencapai pembangunan ekonomi yang inklusif dan mampan. Projek tanaman cendawan yang diusahakan oleh syarikat pelajar bukan sahaja membentuk generasi muda yang celik keusahawanan tetapi juga sejajar dengan dasar kerajaan serta Matlamat Pembangunan Mampan (SDG) yang ditetapkan oleh Pertubuhan Bangsa-bangsa Bersatu (PBB)
UMPSA pilihan utama 5 sahabat dari Sabah sambung pengajian dalam bidang Kejuruteraan Mekanikal (Petroleum)
Lima sahabat yang berasal dari Sabah hari ini mendaftar bersama-sama di Universiti Malaysia Pahang Al-Sultan Abdullah (UMPSA) bagi memulakan pengajian mereka dalam program Ijazah Sarjana Muda Teknologi Kejuruteraan Mekanikal (Petroleum) dengan Kepujian di Fakulti Teknologi Kejuruteraan Kimia dan Proses (FTKKP)
Agar Ramadan Lebih Bermakna
Ramadan adalah bulan yang dinanti-nantikan setiap umat Islam di seluruh pelosok dunia, tanpa mengira bangsa mahupun warna kulit. Ia merupakan penghulu segala bulan, malah turut terkenal sebagai ‘madrasah’ atau institusi pendidikan yang berupaya melahirkan modal insan yang bertakwa. Ia merupakan tempoh yang paling sesuai untuk memperbaiki dan menguatkan kembali hubungan dan pergantungan seorang hamba kepada Tuhannya sesuai dengan nilai teras utama UMPSA, hubungan yang kuat dengan Yang Maha Pencipta. Ini kerana, bulan ini dilengkapi modul komprehensif yang melatih kekuatan rohani, mental dan fizikal
Enhancing hydrogen adsorption performance of hollow silica spheres through the addition of Fe: A study on kinetic and thermodynamic
Hydrogen is a clean and renewable energy carrier with the potential to address global energy and environmental challenges. However, its practical implementation is hindered by the lack of efficient storage solutions, as hydrogen has a low energy density by volume under ambient conditions. Enhancing hydrogen storage capacity is crucial for enabling its widespread use in applications. Current porous scaffold materials, such as metal-organic frameworks (MOFs) and zeolites, face significant limitations, including low adsorption capacity under practical operating conditions and slow kinetics. Hollow nano-silica (HSS) has emerged as a promising scaffold for hydrogen storage; however, its low capacity hinders practical implementation. To address this, iron (Fe) was incorporated into the HSS for its high capacity, availability and rapid sorption kinetics, which facilitate the dissociation of H2 molecules into atomic hydrogen and enhance chemical interactions between Fe and the HSS surface, thereby increasing the availability of active sites and improving hydrogen adsorption capacity. The resulting HSS exhibited a high surface area of 904 m2/g, with highly developed porous structures with a pore volume of 0.87 cm3/g, and an average pore diameter of 3.1 nm. Different amounts of Fe (3–10 wt%) were incorporated into the HSS. To examine the Fe loading effect, the physicochemical properties such as crystal phase, chemical structure, textural properties, and morphology of the Fe-modified scaffold were analysed. Hydrogen adsorption experiments were subsequently conducted under varying reaction conditions. Following the models of Van't Hoff and Langmuir, the kinetic, as well as thermodynamic analyses, were performed. The characterization findings revealed that the Fe was uniformly distributed within the HSS without causing any alterations to the original structure. Optimal hydrogen adsorption, reaching 2.42 wt%, was achieved with a 5.0 wt% Fe loading, 0.1 g catalyst loading, and at a 523 K temperature. Kinetic results showed that the adsorption followed a pseudo-second-order model, suggesting that the adsorption rate is likely governed by the availability of adsorption sites and the interactions between hydrogen and the adsorbent surface. The 5%Fe-HSS adsorbents demonstrated strong reusability, with less than a 6.4 % loss in activity after four consecutive cycles. These findings suggest that incorporating Fe into the silica structure is an efficient approach for improving the hydrogen adsorption capacity of HSS
Bio-inspired thin-walled straight and tapered tubes with variable designs subjected to multiple impact angles for building constructions
Thin-walled structures are extensively utilized in construction because of their lightweight nature and excellent energy absorption efficiency, especially under dynamic loads. Improving the energy-absorbing performance of thin-walled structures by inspiring natural multi-cell designs is a sufficient approach. This paper investigates the energy-absorbing characteristics of variable novel cross-section designs of thin-walled structures subjected to oblique impact loading. Straight and tapered types with seven cross-sectional designs of novel thin-walled structures were studied. The nonlinear ABAQUS/Explicit software 6.13 version was implemented to analyze the crashworthiness behaviors for the proposed variable cross-section designs under different loading angles. The crushing behaviors of the proposed thin-walled structures were examined for various wall thicknesses of 0.5 mm, 1.5 mm, and 2.5 mm and impact loading angles of 0°, 15°, 30°, and 45°. It was determined that the energy-absorbing characteristics of novel thin-walled structures can be efficiently controlled by varying two geometries and seven cross-section designs. A multi-criteria decision-making method (MCDM) using a complex proportional assessment method (COPRAS) was performed to select the optimum thin-walled structures with cross-section designs. It was shown that a tapered square thin-walled structure with 2.5 mm thickness had the best crashworthiness performances with energy absorption (EA) of 11.01 kJ and specific energy absorption (SEA) of 20.32 kJ/kg under a 30° impact angle. Moreover, the results indicated that the EA of the thin-walled structure decreased with the increase in the impact loading angle. In addition, with the increase in the impact loading angle, the peak crushing force (PCF) decreased and reflected the reduction in energy absorbed at a larger angle. The MCDM method in conjunction with the COPRAS method is proposed, it provides valuable insights for safer and more resilient building construction. © 2025 by the authors
Unveiling the importance of controllable growth of c-axis oriented Sn-doped ZnO nanorod arrays: Towards humidity sensing applications
In this study, tin (Sn)-doped zinc oxide (ZnO) nanorod arrays (SZO) were prepared using a sonication assisted sol gel
immersion method, with the growth of the nanorod arrays controlled by varying the immersion time in the precursor material. Morphology images taken using a Field Emission Scanning Electron Microscope (FESEM) demonstrated an enlargement of the average diameter of the nanorod arrays from 55 nm at 5 min immersion to 122 nm at 200 min immersion. The cross-sectional and surface elemental analysis showed that the sample immersed for 60 min has the highest detection of Sn, with a bulk concentration of 1.8 at.% and surface concentration of 1 at.%. Interestingly, we noticed that Sn is not exist on the surface of 200 min immersion, indicating
the depletion of the Sn precursor due to the prolongation of the immersion time. From the current voltage (I-V) analysis, 60 min immersion sample generated the lowest thin film resistivity, which engendered the best humidity sensitivity of 4.05. This study demonstrated the significant importance of optimizing the immersion or growth time for doped 1-D nanostructures to obtain the best humidity sensing performance
S-commerce: Competition drives action through small medium enterprise top management
This study investigates the factors influencing the continued use of S-commerce in small and medium enterprises (SMEs), focusing on the roles of top management (TM) support, competitive pressure (CP), facilitating conditions, and service quality. Data were collected from 341 SME owners and analyzed using SEM. Data was analyzed with SmartPLS using a two-step approach. The findings indicate that TM support significantly impacts the continued use of S-commerce by influencing facilitating conditions and service quality while CP affects TM behavior and usage continuity. However, the findings reveal that operational factors, such as infrastructure and service quality, play a more critical role in sustaining S-commerce engagement than external pressures. Facilitating conditions, in particular, were found to have a strong influence on service quality and platform engagement, underscoring the importance of technical and organizational resources. The study extends prior research by highlighting the interplay between internal and external drivers in fostering the continuous use of S-commerce, offering practical insights for SMEs and future research directions
The effectiveness of bio-anchorage system in reinforcing tropical residual slope
Geotechnical phenomena known as “land sliding” encompasses a broad spectrum of ground movements, including rock falls, deep slope failures, and shallow debris flows, particularly in tropical regions. The severity of this issue is higher in regions with a lot of residual soils, like Malaysia, due to the frequent and intense rainfall events and the unique soil properties that make these areas prone to instability. The use of vegetation in soil bioengineering has gained attention recently as an environmentally friendly technique for stabilizing slopes, as most conventional approaches are neither inexpensive nor universally accessible. The primary objective is to understand the bioinspired soil anchoring system’s interaction mechanism to improve the bonding between the residual soil structure in tropical regions. This research is conducted to determine the relationship between the tensile strength of Eugenia Oleina plant roots and the soil parameters of Gambang residual soil. Laboratory testing for soil properties and classification procedures were conducted. Root tensile strength, compressive strength, and shear strength were determined by conducting an unconfined compression test and a direct shear test. These tests are crucial in understanding the mechanical properties of the soil and how it interacts with plant roots under different stress conditions. The comparison between Eugenia Oleina (EO) and Dicranopteris Linearis (DL) plant roots was obtained to recommend the best plant roots for slope stabilization. Out of all the bioinspired soil anchoring systems for tropical slopes, the findings offer the best answer. Thus, it was determined and suggested which plant species would be the most effective tool in residual soil to reinforce tropical slopes
Design and analysis of hexagonal antenna for UHF RFID reader
The purpose of this paper is to present a design and analysis of hexagonal antenna for Ultra High Frequency (UHF) Radio Frequency Identification (RFID) Reader Application, to embrace the benefits offered by UHF RFID systems. In this design the FR-4 material is used to have medium, low cost and lightweight structure. The proposed antenna made up of hexagonal antenna patch and rectangular shape for the substrate. The antenna is meant to work on a frequency range of 919 MHz to 923 MHz, which is reserved for Malaysia's UHF RFID system. A voltage standing wave ratio (VSWR) of 1.14 and a gain of 5.87 at 921 MHz was obtained in CST microwave studio. The result of antenna parameter such as bandwidth, return loss and radiation pattern also discussed
Hierarchical power output prediction for floating photovoltaic systems
Accurate forecasting of power output in Floating Photovoltaic (FPV) systems is essential for optimizing renewable energy generation and improving energy management strategies. This study introduces a novel hierarchical prediction framework that enhances FPV power forecasting by systematically modeling energy output at three levels: (1) Maximum Power Point Tracking (MPPT) level, (2) phase-wise level, and (3) total system level. This structured approach captures the interdependencies between different operational levels, improving both prediction accuracy and interpretability. A high-resolution dataset, spanning one year with 5-min interval measurements, was collected from an operational FPV system at Universiti Malaysia Pahang Al-Sultan Abdullah (UMPSA) and used for model training and validation. The dataset comprises meteorological parameters (solar irradiation, ambient temperature) and electrical characteristics (MPPT voltage, current, and phase-wise power output). Five machine learning models—Feedforward Neural Network (FFNN), Random Forest (RF), Extreme Learning Machine (ELM), Support Vector Machine (SVM), and eXtreme Gradient Boosting (XGBoost)—were evaluated within the hierarchical framework. Results indicate that FFNN outperforms all other models, achieving an RMSE of 0.0125, MAE of 0.0024, and an R2 of 1 at the system level. The hierarchical structure improves predictive robustness, reduces error propagation across levels, and enhances real-time monitoring by facilitating localized performance analysis. This framework offers a scalable and adaptable solution for FPV forecasting, contributing to enhanced grid stability and more effective energy management. The findings demonstrate the practical benefits of hierarchical modeling in renewable energy prediction, providing a foundation for future research into adaptive forecasting models for dynamic environmental conditions