12 research outputs found
Design study of 12S-10P field excitation flux switching motor for hybrid electric vehicle / Muhammad Azwan Zainal
No full textThis paper presents a new structure of 12slot-10pole field excitation flux switching motor (FEFSM) as an alternative candidate of non-Permanent Magnet (PM) machine for HEV drives. Design study and analysis of field excitation flux switching machine with non-rare-earth magnet for hybrid electric vehicle drive applications has been analyzed. The projected motor has a robust structure and suitable for high speed application as the rotor consist of only stack of iron and all the windings are located at the stator. The design target is a machine with the maximum torque, power and power density more than 200Nm, lOOkW and 3.5kW/kg, respectively, which competes with interior permanent magnet synchronous machine (IPMSM) used in existing hybrid electric vehicle. Some design feasibility studies on FEFSM based on 2D-FEA and deterministic optimization method has been applied to design the proposed machine. The proposed machine have achieved the target requirements that are average torque, power and power density of 200.3Nm, 108kW and 4.5kW/kg, respectively, better compared to existing IPMSM, suitable for HEV
Unilateral hearing loss: case report on the insidious consequence of nasopharyngeal tuberculosis
No full textAbstract Background Nasopharyngeal tuberculosis constitutes 1% of the head and neck manifestation of extra-pulmonary tuberculosis. The rarity of the disease along with its non-specific presentation may pose a challenge in diagnosis. Case presentation We present a case of a 33-year-old patient who presented with a gradual onset of unilateral hearing loss. Endoscopic examination revealed leukoplakic lesions over the bilateral torus tubarius with audiological assessment revealing a mixed hearing loss in the left ear. Patient completed a 6-month course of anti-tuberculous therapy with a complete resolution of nasopharyngeal lesions and hearing loss. Conclusion We hypothesize that tuberculosis of the nasopharynx may not only lead to impaired middle ear ventilation but also damage to the ossicular chain and inner ear structures
Understanding solah compliance and adherence among hospitalized Muslims: A critical survey on the barriers, challenges, and systemic perspectives
No full textBackground and Purpose: Prayer (Solah) is a fundamental obligation for Muslims, essential for spiritual and mental well-being. However, hospitalized Muslim patients often neglect this practice due to various barriers, rarely explored from their perspective. This study investigates the barriers, disabilities, and systemic factors affecting solah compliance and adherence in orthopaedic wards, particularly within the Ibadah-Friendly Hospital (IFH) framework.
Methodology: A cross-sectional survey was conducted among 203 Muslim patients (aged 20–75 years) admitted to orthopaedic wards of a tertiary hospital. Self-reported questionnaires assessed prayer practices, disabilities, knowledge gaps, and exposure to IFH campaigns. Data were analysed using descriptive statistics and chi-square tests.
Findings: More than half (52.2%) of patients did not perform any prayers, while 36.1% performed some, citing Subuh and Asr as the most difficult. Barriers included mobility limitations (p=0.009), toileting challenges (p=0.009), knowledge gaps about rukhsah (p=0.031), insufficient assistance (p=0.006), and embarrassment (p=0.035). Lifestyle factors such as smoking and alcohol use (p=0.001 and p=0.034) further impacted adherence. Exposure to IFH campaigns improved compliance (p=0.019).
Contributions: This study highlights the need for education, tailored assistance, and improved hospital infrastructure. Strengthening IFH initiatives and integrating Muslim chaplainship can enhance solah adherence, fostering holistic care for Muslim patients.
Keywords: Muslim patients, ibadah-friendly hospital, barriers to religious practices, patient disabilities, hospitalization
Formalizing Attack Tree on Security Object for MySANi in Legal Metrology
No full textIllegal software manipulation is one of the biggest issues in software security. This includes the legally relevant software which are now crucial modules in weight and measuring instruments such as weighbridges. Despite the advancement and complexity of weight and measuring instruments, the inspection methodology is weak and lacks of innovation. The conventional inspection method is merely based on the observation printed certificate of the software. This paper introduces Malaysia Software-Assisted Non-Automatic Weighing Instrument (NAWI) Inspection (MySANI), a method used to enhance the software inspection scheme in legal metrology. MySANI introduces security objects in order to assist and enhance the inspection process. The security evaluation is based on the best practices in IT in metrology, where the attack model on relevant assets of the security objects is simulated for the Attack Probability Tree. The attack tree is verified by integrating formal notation and comparison with finite state transition system domain to verify the correctness properties of the tree design before the model can be further used in a risk analysis procedure within the Attack Probability Tree framework. Results show that the designed attack tree is consistent with the designed simulation
Sleep Quality among Older Persons in Institutions
No full textAbstractThe objective of this study is to identify sleep quality and factors that influence sleep quality amongst older persons in institutions. The participants from this cross-sectional study were selected using a convenience sampling strategy from eight government-funded elderly institutions in Malaysia. The participants are 331 elderly aged 60 years and above. The results indicated that the sleep quality among elderly in institutions is poor, and pain emerged as the main predictor of sleep quality for all groups (normal, mild cognitive impairment and dementia). Dementia has two other main predictors which are role limitation due to emotional problems and emotional well-being
Formulation Of Nickel Matrix Composite Coating Utilizing Malaysian Quarry Dust As Reinforcement For Tribology And Corrosion Performance
No full textQuarry industries in Malaysia plays a significant and essential role in the development of the country. However, the enviromental concern is currently rising as one of the main challenging issues affecting the natural aggregate and limestone production. According to Sridharan et al. (2006), about 20- 25% of total production in each crusher unit is left out the quarry dust as waste material. Therefore, efforts have been taken to control enviromental pollution arising due to disposal of these industrial wastes by converting them into utilizable raw materials for usable application. Quarry dust is one of the by- product from the crushing process during quarrying activities, which have gained attention to be used for various applications. Recently, the utilization of quarry dust which is high in silica and alumina content have been extended to be used as a reinforcement for metal matrix composites due to high cost of conventional ceramic particles.
Therefore, the effect of various compositions of quarry dust on the tribological and hardness properties of nickel matrix composite coatings electrodeposited on tungsten carbide substrate was investigated in this study. This research will contribute to the knowledge on the improvement of tribological and hardness of nickel-quarry dust composite coating electrodeposited on tungsten carbide via various compositions of quarry dust. The findings would be benefited by the cutting tools industries
The Scene Cafe and Bistro / Mohamad Afiq Zuber ... [et al.]
No full textThe planning of the cafe that more focus on the franchises because there is the
Worldwide Franchising Statistics (1995) where the consultancy surveyed state that the
franchising in Malaysia do not very developed as compared to the other country such as
United States and Japan. According to the author of research, Vitor F.C Goncalves &
etc .• "The presence of international franchise systems is dominant, but a small number
of local concepts were developed and some have already started international
operations". However, it is not easy to develop a small business while have to compete
with other franchising competitors such as Mc Donalds, KFC, Pizza Hut and other
cafes. According to it, The Scene Cafe and Bistro have its own operational strategies
and the most importantly how the concepts will be. We want to have an upscale,
relaxing and leisure interior design in order to attract and keep customers. In addition,
the cafe will be facilitating with innovative environment such as the affordable access to
the internet or online services, reading section, and a partition for the gamers.
Such as the Cafe Jubilee in Malta (1998), it is the first chain of cafe/bistro that
was totally conceived locally by itself. In the business proposal of The Scene Cafe and
Bistro is actually focus on the local operational to successfully stand with its own
strategic partnership. By becoming The Scene Cafe and Bistro, the clients will satisfy to
enjoy the food and drink in a unique homely environment. Why we choosing the
franchise? This is because the food industries are becoming increasingly popular that
make high profit which is available in the food and beverage industry .In fact, food is always in demand, there is no worry for our business to shut down. With the existence
of the expertise, the highly commitment, the high-qualified franchisor team and more
knowledge in the aspects of this business, it will reduce the risk of failure. In order to
achieve the purposed of this business, we are oriented to cope with the constantlychanging
needs of the customers. It is also important to adapt their expectations and
demands
IoT-based monitoring and data-driven modelling of drip irrigation system for mustard leaf cultivation experiment
No full textThe changing dynamics, non-linearity of soil moisture content, as well as other weather and plant variables requires real-time monitoring and accurate predictive model for effective irrigation and crop management. In this paper, an improved monitoring and data-driven modelling of the dynamics of parameters affecting the irrigation of mustard leaf plant is presented. An IoT-based monitoring framework is implemented using ESPresso Lite V2.0 module interfaced with different soil moisture sensors (VH-400), flowmeter (YF-S201) as well as Davis vantage pro 2 weather station to measure soil moisture content, irrigation volume, and computation of the reference evapotranspiration (ETo). The data collected including plant images were transmitted to the Raspberry Pi 3 controller for onward online storage and the data are displayed on the IoT dashboard. The combination of both soil moisture and ETo values was used for scheduling a drip irrigated plant grown in a greenhouse for 35 days. A total number of 20, 703 experimental data samples are collected from the IoT-based platform was further used for data driven modelling through system identification in MATLAB. The result shows the development of different predictive models for soil moisture content prediction. The ARX prediction model is found to perform better than the ARMX, BJ and State space model in terms of estimated fit of 91.31%, 91.09%, 91.08%, and 90.75% respectively. Therefore, a robust monitoring framework for irrigation system has been developed, while the performance of the identified ARX model is promising to predict the volumetric soil water content
Empirical based irrigation model using predicted soil moisture for durian plantation
No full textIt is vital to the agricultural activities to have sufficient water supply for its operation and maintenance mainly for cultivation to keep it in good condition Therefore, it is important to determine the soil moisture levels existing while designing a precise irrigation system. Installing soil moisture sensors in each tree is complicated or excessively expensive. Forecasting the value using climate data is a viable solution in this scenario. Climate data are used to forecast soil moisture and then utilized in this irrigation model. This study uses an Artificial Neural Network (ANN) to forecast soil moisture values. The statistical method is used to determine the predicted values’ correctness. After the process, the irrigation volume and schedule are calculated based on the most accurate prediction findings
