Association for Scientic Computing Electronics and Engineering (ASCEE): Open Journal Systems
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Ball and Beam Control: Evaluating Type-1 and Interval Type-2 Fuzzy Techniques with Root Locus Optimization
Get PDFThis study evaluates the performance of three control systems, namely the root locus method, type-1 Mamdani fuzzy logic system (FLS), and interval type-2 Mamdani FLS, in noise-free and noisy ball and beam systems. The main contribution of this study is enabling improved design and implementation of control systems in real-world applications by offering a comprehensive understanding of each control system's performance. The methodology involves conducting four tests focusing on various input types, including a 0.8-meter step input and sine wave function, and assessing the presence of noise in the system. The performance of each control system is analyzed using parameters such as rise time, setting time, and percentage overshoot, with the interval type-2 Mamdani FLS further examined by varying footprint of uncertainty values. Results from noise-free tests reveal that the root locus method has shorter rise and setting times, but a higher percentage overshoot compared to the type-1 Mamdani FLS and type-2 Mamdani FLS. In noisy environments, the type-2 Mamdani FLS with varying Footprint of Uncertainty values outperforms the type-1 Mamdani FLS with reduced rise time, setting time, and percentage overshoot. The root locus method shows a significantly higher percentage overshoot in noisy conditions compared to the other two control systems. In conclusion, the type-2 Mamdani FLS control system demonstrates superior capability under changing conditions compared to the type-1 Mamdani FLS, with its performance varying based on footprint of uncertainty values. This study highlights the importance of selecting the appropriate control system depending on specific needs and environmental factors
Feasibility of floating solar photovoltaic systems (FSPVs) development in Nigeria: an economic cost appraisal case study
Get PDFThis study focused on evaluating the economic cost viability of developing a floating solar photovoltaic systems (FSPVs) project in Nigeria, using Ikang river, Bakassi as an incident study. The FSPVs was designed using the HOMER software to satisfy full load requirements of 2426.45 kWh/day, while appraising the viability of the FSPVs in incident study. Meteorological data of the incident study location which include geographical coordinates, ambient temperature, and global horizontal irradiance were used to select a suitable FSPVs design for the cost appraisal. Lifecycle cost model was further developed to evaluate the proposed FSPVs at different project development phases. These include: predevelopment and consenting (PC), procurement and acquisition (PA), installation and commissioning (IC), operation and maintenance (OM), and decommissioning and disposal (DD). The results obtained showed that the net present cost, Levelized cost of energy, and operating cost of the project were 10,350,933.25USD, 0.90USD/kWh, and 179,164.73USD, respectively. Also, the capital expenditure (CAPEX) amassed by 81.53% of the entire project cost, while operating expenditure (OPEX) was 18.47%. Furthermore, installation, support systems, predevelopment and project management, contingencies, indirect cost, and electrical equipment were the key drivers of the project. For the lifecycle stages; PC, PA, IC, OM and DD were obtained to be 12%, 57.9%, 11.6%, 9.96%, and 8% respectively of the project cost. Thus, the incident study location has the potential for FSPVs development and has proven to be economically viable. Nevertheless, established model was suitable in appraising preliminary variations in FSPVs
Effective regulatory frameworks for constructive journalism: a study of China’s media systems
Get PDFJournalism practice in China is unique and different from the rest of the other countries in the world. Many scholars have attributed this to the effective regulatory systems and the structure of the media system thus the six forces controlling media space in China. This study adopted a qualitative condensed thematic analysis technique through in-depth interviews to examine how the regulatory framework in China affects the media ecosystem and constructive journalism practice. Through the snowball technique of sampling, the researchers collected data from fifteen (N=15) senior media professionals working within private and state-owned news outlets in China, to find answers to the nature of the media system in China and how this system has influenced and shaped constructive journalism practice during the COVID-19 pandemic between November and December 2021. One of the key findings of this study indicates that the robust media regulatory system practice in China has resulted in effective interactions among stakeholders, media houses, and journalists within the Chinese media system, which has significantly contributed to attaining effective constructive journalism practices. Again, our findings suggest that the effectiveness and constant interactions of the six forces of the Chinese media system have also helped enforce professionalism, dedication to duty, and patriotism among journalists and different media outlets in China. Finally, our study reveals that the Chinese Media giants such as China Global Television Network (CGTN), China Central Television (CCTV), and China Radio International (CRI) which serve millions of global audiences are very factual in their reportage. To avoid fake news in their reportage, CGTN and China Radio International, for instance, have designed specialized fact-checking programs for their news stories before airing them for public consumption
Development and implementation of the MobILcaps application for the teaching and development of information literacy in Higher Education
Get PDFThis paper aims at develop, implement and evaluate the effectiveness of the MobIlCaps mobile application. On the basis of cognitive, constructivist and connectivist theories, it has been developed on an instructional design model, based on the user experience. In the context of mobile teaching in higher education, an innovative application is proposed for the self-learning of information literacy by students of Social Sciences. With the collaboration of both teachers and students, the application was developed, following the ADDIE model, through the phases of analysis, design, development, implementation and evaluation. The last phase provided the improvement proposals for the optimization of the final version of the tool, a progressive open access website. The application is organized into six capsules that follow the framework of ACRL (2015): learn, search, evaluate, create, research and disseminate. It includes multimedia resources in the form of microcontents that highlight readability, organization and visualization as characteristics. The app focuses on the user and is a relevant instrument to facilitate teaching The different analyses, followed by proposals for improvement and revisions, led to the achievement of a very useful application for students, teachers and librar
Web log augmented analytics and extraction for e-learning environment
Get PDFE-Learning is a commonly used platform by most institutions, especially during the pandemic Covid-19. E-learning services include viewing, submitting, and uploading files, attempting quizzes, viewing forums, and downloading files. The data store in the servers grow on par with the increment of users in e-Learning@UTM every semester. As a result, the data have become extremely huge. These web log data can be used in augmented analytics to find meaningful insights. The web log data extracted are the log files of the history engagement of users and students’ grades. Data obtained are used in augmented analytics to study the pattern of the data and insights into meaningful information. This research focuses on classification of data through predictive analytics. Hence, predictive models are required. To prove a better outcome, building the model consists of three types of algorithms; Decision Tree, Artificial Neural Networks and Support Vector Machine which are used and compared. After extracting data from e-learning, the first step in building a predictive model is to do data collection, data pre-processing, and data transformation. These three classifiers use the pre-processed data and split the data into training and test sets afterwards. Each classifiers techniques are built and a confusion matrix is applied as a performance measurement to summarise the performance of a classification algorithm, respectively
How ready we are? The temporary evacuation shelter (TES) and routes distance during the September 2018 earthquake based on survivor's preference
Get PDFDuring Palu earthquake on September 28 2018, people in the coastline area immediately evacuates to decent heights locations. Their action preference is purely based on the aim of surviving the tsunami events. This research is aim on identify, in that conditions, how the survival chooses the TES and their route to it. This research also seeking their preference of TES and Evacuation route during the normal conditions, and compare the survival preference and what is happened during the tsunami events in September 2018. The result shows that during the tsunami disaster events, only 5 out of 74 survivals preferred evacuate to the higher buildings around the coastline within te tsunami prone area, while the others preferred to move further to the higher ground on the city centre. Majority of the survivals failed to understand the important of shortened their route as what is standard demanded
Teacher’s competence and performance: A systematic theoretical study
Get PDFOne of the goals of vocational revitalization is the improvement of educators/teachers’ competence. This is considered important as the competence is the main capital for managing learning process, besides knowing the functions and duties as a teacher in the classroom, which can be in the form of the teachers’ performance. However, these two things are not obtained instantly, but a process and several factors have influenced them as well. This study aims to find some factors that can affect competence and performance based on the previous research as well as potential factors that likely influence. By using the Systematic Literature Review (SLR) method, seven factors and three potential factors along with their measurement indicators have been proven to influence the competence and the performance. Thus, it can be concluded that to find out the relationship between potential factors such as social media, a religion and a healthy lifestyle on the teachers’ competence and performance, it is necessary to prove the findings in this article
Organizational learning and post-crisis management at Tesla Inc in facing crisis communications
Get PDFThis article aims to discuss organizational learning and crisis management at Tesla Inc. Digital disruption has made corporate communication required to use agile strategies in dealing with dynamic communication crises. Tesla's communications crisis started with 11 accidents in 2018, and Tesla removed the communications department amid the crisis. The lack of relationship between the media and the company can cause a potential crisis to occur. The disappearance of the communications department has made it difficult for journalists to obtain press releases and made it easier for issues to be uncontrolled. This transformation is a form of organizational learning in facing a crisis and aims to make communication centralized and transparent. Tesla's external communications now use its CEO's Twitter @EllonMusk to communicate with external stakeholders. Tesla's open and innovative corporate culture can influence the company's decisions in dealing with a crisis. This article is analyzed using qualitative methods with a case analysis approach to find solutions to overcome the communication crisis that occurred
Methodologies and Applications of Artificial Intelligence in Systems Engineering
Get PDFThis paper presents an overview of the methodologies and applications of artificially intelligent systems (AIS) in different engineering disciplines with the objective of unifying the basic information and outlining the main features. These are knowledge-based systems (KBS), artificial neural networks (ANN), and fuzzy logic and systems (FLS). To illustrate the concepts, merits, and demerits, a typical application is given from each methodology. The relationship between ANN and FLS is emphasized. Two recent developments are finally presented: one is intelligent and autonomous systems (IAS) with particular emphasis on intelligent vehicle and highway systems, and the other is the very large scale integration (VLSI) systems design, verification, and testing
Permanent Magnet Synchronous Generator Connected to a Grid via a High Speed Sliding Mode Control
Get PDFWind power generation has recently received a lot of attention in terms of generating electricity, and it has emerged as one of the most important sources of alternative energy. Maximum power generation from a wind energy conversion system (WECS) necessitates accurate estimation of aerodynamic torque and system uncertainties. Regulating the wind energy conversion system (WECS) under varying wind speeds and improving the quality of electrical power delivered to the grid has become a difficult issue in recent years. A permanent magnet synchronous generator (PMSG) is used in the grid-connected wind-turbine system under investigation, followed by back-to-back bidirectional converters. The machine-side converter (MSC) controls the PMSG speed, while the grid-side converter (GSC) controls the DC bus voltage and maintains the unity power factor. The control approach is second-order sliding mode controls, which are used to regulate a nonlinear wind energy conversion system while reducing chattering, which causes mechanical wear when using first-order sliding mode controls. The sliding mode control is created using the modified super-twisting method. Both the power and control components are built and simulated in the same MATLAB/Simulink environment. The study successfully decreased the chattering effect caused by the switching gain owing to the high activity of the control input