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Zinc oxide nanoparticles-chitin as saturable absorber in erbium-doped fiber laser
Using Zinc Oxide (ZnO) nanoparticles embedded in chitin as a saturable absorber (SA), we demonstrate a passive Q-switched erbium-doped fibre laser (EDFL). Following SA fabrication, the SA is integrated in the ring cavity of an EDFL. At an operating wavelength of 1558.8 nm, a stable Q-switching operation was demonstrated with a threshold input pump power of 23.86 mW. The generated pulse had a frequency range of 33.44 kHz to 75.76 kHz and a pulse width of displaystyle 2.925µs
Controllability analysis of convergence on water distribution system architecture with fault using cellular automata sequence
This paper develops a consensus-based control protocol for a resilient Water Distribution System (WDS) intending to allow continuous water supply on the WDS facilities in the presence of faulty event(s). The consensus is based on logical inputs which iterate by utilizing the cellular automata (CA) concept. The simulation is performed on MATLAB based on the WDS leakage problem. As a result, the consensus is reached within a five-cycle time, which indicates the triggered value in two agents’ readings. The controllability of the system is analyzed using the existence of the Hamiltonian cycle (HC) and full rank matrix which appears in the reachability matrix The approach suggested in this paper is expected to be scalable and can be applied to any huge scale of WDS layouts
AREDApps: mobile augmented reality development and learning framework based on augmented reality technology for engineering drawing course
Technology in teaching and learning is crucial as we are now focusing on 21st Century Learning. Moreover, the Covid-19 pandemic has affected many sectors, including education sectors, where most educators are continuously looking for approach and tools to enhance their teaching deliveries to ensure students can still learn effectively even though most of the classes are currently conducted online. Other than that, students also have problems with their visualization skills when learning engineering drawing, which caused a lack of understanding of the content, thus making it even harder for them to learn in this situation. Technology such as augmented reality is a well-received technology application due to its benefit in enhancing users’ learning experiences, enhancing visualization skills, and supplementing materials more effectively. Thus, this paper aims to describe Augmented Reality Engineering Drawing Apps (AREDApps) development process, a mobile augmented reality apps for orthographic projection topic in engineering drawing subject, highlight the students’ perception when using AREDApps during learning and introduce the engineering drawing learning framework based on AREDApps implementation in the classroom. The result indicates that students were mostly satisfied with augmented reality technology to learn orthographic projection. This is because AREDApps helps them supplement the information that cannot be delivered by using modules or PowerPoint presentation such as the three-dimensional representations of the task given to them. The findings of this paper strengthen the facts that augmented reality is a suitable technology to teach complex technical subjects, which requires supplementary materials that can help students to be able to visualize the task effectively
Robust sensor fusion for autonomous UAV navigation in GPS denied forest environment
Forestry and precision biodiversity data collection using UAVs can be cost-effective and time efficient solution. However, navigating in the forest canopy autonomously can be quite challenging because of its GPS denied environment, cluttered, dynamic, and large scale. Most of the commercial UAVs used in forest applications apply GPS-based navigation which is not suitable for navigating under the canopy. In this paper, an autonomous UAV flight mission in a cluttered forest-like canopy environment is presented. A robust multi-sensor fusion-based robust navigation method which has failure detection features is proposed to enable safe and reliable autonomous navigation. The autonomy architecture utilizes the navigation, planning, and control capabilities of the UAV in a simultaneous manner. To achieve autonomous missions in forest environment, the proposed system has been tested rigorously in a simulated environment and the result shows the capability of autonomous flights in such a challenging environment. The performance of the autonomous flight was evaluated based on mean velocity and path length with respect to the increasing number of trees in the forest
Students' perception on 3D anatomical model development approach in non-cadaver learning environment: a proposal
The use of preserved human cadaver has been practiced by many medical institutions for teaching. It is one of the most effective ways of learning anatomy due to its three-dimensional view of human body parts. However, the use of human cadaver can be challenging especially in institutions with limited financial capacity and availability issue. Thus, an alternative of teaching anatomy has been introduced such as the use of simulation, imaging, and model. In this paper, a methodology was proposed on the implementation of three-dimensional anatomical model learning using low-cost and recycled materials while assessing students' perception on this alternative learning method. Students' perception was assessed pre and post activity via questionnaires comprising five elements including knowledge, communication skills, creativity, motivation and acceptance. This proposed study is hoped to help in data collection process in the future, hence provide better insights on the need of this alternative learning method
Measuring user experience of blended learning application: a case study of higher education
Blended Learning (BL) has been widely adopted in higher education. This innovative delivery method is crucial to improve students' engagement including at postgraduate level. This research examines User Experience (UX) of postgraduate blended learning module at a Malaysian private university. The six dimensions of User Experience Questionnaire (UEQ) which are attractiveness, perspicuity, efficiency, dependability, stimulation, and novelty were used as the framework to evaluate UX of this application. An interdisciplinary Research Methodology course was selected to examine UX of BL module at postgraduate level. A total of 110 students participated in this study. The data was analysed based on mean, variance, and confidence interval. This study found that the pragmatic quality (efficiency, perspicuity, dependability) scores higher than hedonic quality (stimulation, novelty). This study however is limited to only one selected blended learning module. Future studies may examine other postgraduate courses using different UX framework and adding qualitative approach to understand further of UX of postgraduate blended learning module
Current practice of early leak detection methods for underground storage tanks
This article aims to provide general review on current practice of leak detection methods of underground storage tanks (UST). Fuel (i.e. gasoline and diesel oil) leakage from UST can contaminate groundwater and drinking water with various hydrocarbon contaminants. These leaks create ponds of fuel that spill into the land and aquifers, polluting and seriously destroying habitats. Numerous efforts have been focused on the development of leak detection to the tanks. However, without the opportunity to conduct fault intensity calibration and estimate a product's lifetime, there is a lack of information provided to consider the condition of previous underlying leakage. As a result, it is too late whether the harm has already been done. There are methods of detection that have been studied for the past ten years. Many approaches have been practised to detect leakage. Specific sensing devices will combine with additional applications that analyse and interpret the data to detect storage tank leaks. Various methods will provide different results depending on the feature chosen. Some approaches will use machine learning to analyse the provided data and provide the best leak detection result. This paper will explore the best leak detection techniques to improve underground tanks' structural integrity. At the end, this paper will give some overview on current practice early detection methods on underground storage tanks for future research
Entrepreneurial leadership in nonprofit organization: a case of Malaysian public university
Entrepreneurial leaders are in-demand talents to lead profit-driven organizations during the turbulent and unprecedented times. However, research regarding the pertinence of their roles in the non-profit organization has been limited. In public university, entrepreneurial leaders can bridge the gap between diverse stakeholders to achieve a unified vision of innovative public value creation and dynamic education marketplace adaptation. Learning agility, opportunity-recognition capacity, and bridging capability are among the discovered competencies that make a Malaysian university top senior leader entrepreneurial. This article presents a discussion of a preliminary survey conducted to examine self-perceived entrepreneurial leadership competency among long-term successors and their associated demographic factors. Results show that elements of entrepreneurial leadership were practiced and displayed at different positional levels within public university. Varied academic career experiences and exposure to private corporate cultures would benefit university leaders to be more entrepreneurial in their leadership
Simultaneous adsorption of heavy metal ions (cu2+and fe2+) from binary solutions by microcrystalline cellulose (MCC): initial concentration effect, pH and kinetics studies
In this study, simultaneous adsorption of heavy metals was examined by using binary component solutions. Microcrystalline cellulose (MCC) was used as an adsorbent for heavy metal uptake of heavy metal (Copper (Cu2+) and Ferum (Fe2+)) from aqueous solution in binary system. The result of adsorption experiment revealed that MCC presented more than 70% adsorption of Cu2+ and Fe2+ at high heavy metals solution and pH. It proposed that there are sturdy electrostatic attractions among the surface of the adsorbent and cationic heavy metal ions. Also, the kinetic studies for sorption of Cu2+ and Fe2+ onto MCC were better signified by a pseudo-second-order (PSO) model, which demonstrates chemisorption between the polymeric MCC adsorbent and heavy metal molecules. Bestowing to investigational findings, MCC is an attractive adsorbent for treatment of wastewater containing multiple heavy metal ions
Effect of quantum computing on blockchain-based electronic health record systems
Modern healthcare systems are known for being extremely complicated and expensive. On the other hand, improved health record management can help lessen this. The Electronic Health Records (EHR) sharing system is cutting-edge healthcare delivery. The system's tools can anticipate results throughout a patient's life, measure treatment efficacy, follow therapy, and detect human errors. Centralized and cloud-based systems are susceptible to security attacks and illegal modifications that can cause privacy issues and sometimes life-Threatening situations. Integrity and interoperability across the treatment continuum are top priorities for major industry players. Given the massive amount of EHR data, security concerns, and variety of healthcare information systems, achieving this aim remains a challenge. Blockchain is an immutable ledger used in EHR systems due to its inherent immutability and privacy attributes. Blockchain-based systems are reliable and efficient. Another advantage of the Blockchain application in healthcare record management is the increased interoperability of records that can further help in better availability of the patient's records resulting in better healthcare opportunities and collaboration. Quantum computing developments threaten such systems as quantum computers can easily break the algorithms assumed to be impossible to crack in years. This paper reviews the application of Blockchain in EHR, possible challenges, and quantum computers' effect on the reliability and security of Blockchain-based EHR systems