Online-Journals.org (International Association of Online Engineering)
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Adaptive Control Using Radial Basis Function Neural Networks for Pneumatic Artificial Muscle Systems
Get PDFThis study introduces a novel adaptive controller employing neural networks, particularly radial basis function (RBF) algorithms, to enhance the control performance of pneumatic artificial muscle (PAM)-based systems. The proposed controller seeks to address the nonlinearities and hysteresis inherent in PAM-based systems by integrating neural approximation. Experimental testing and comparisons with conventional controllers are conducted using an antagonistic configuration of PAMs. The results illustrate the precision and reliability of the proposed controller, suggesting potential for future advancements in trajectory tracking control of PAM-based systems
Exploring the Impact of Motion Parameter Variations in Virtual Reality Content on Visually Induced Motion Sickness: An Electroencephalography Signal Analysis Approach
Get PDFThe utilization of virtual reality (VR) technology has surged during the COVID-19 pandemic, leading to a diversification of its applications. However, one significant challenge associated with VR usage is visually induced motion sickness (VIMS). To address this issue, a study was conducted to investigate the impact of variations in physical motion parameters on VR content in relation to VIMS. The study employed electroencephalography (EEG) signal analysis to measure the level of VIMS experienced by users as the motion characteristics of the content became more intricate, potentially inducing circular vection sensations. The results revealed noteworthy changes in power spectral density values within the alpha and beta brain wave frequency ranges in specific brain areas, including the frontal, parietal, and central regions. Furthermore, an elevation in stress levels and cognitive load was observed through power ratio analysis. These findings, which have direct implications for the design and advancement of VR content, are crucial for establishing an evaluation system for VR technology, ultimately mitigating adverse effects on users
Traffic Management Based on Cloud and MEC Architecture with Evolutionary Approaches towards AI: A Review
Get PDFThis review paper explores the significance of machine learning (ML), deep learning (DL), reinforcement learning (RL), and deep reinforcement learning (DRL) techniques in improving traffic management based on cloud and mobile edge computing (MEC) architectures. The key findings and contributions of this review highlight the potential of these techniques for transforming traffic management systems through data-driven decision-making, adaptive control, and optimization. The challenges identified in this field include data availability and quality, scalability and computational requirements, privacy and security concerns, and ethical considerations. In conclusion, ML, DL, RL, and DRL techniques, in conjunction with cloud and MEC architectures, have significant implications for improving traffic management. Their ability to process and analyse large-scale and real-time traffic data enables improved traffic flow, reduced congestion, enhanced energy efficiency, and enhanced overall transportation system performance
Creating Sustainable Competencies in Engineering Through Biomimetics Courses
Get PDFThe United Nations 2030 plan establishes the incorporation of the Sustainable Development Goals (SDGs) as a multidisciplinary focus for training new specialized human resources. In engineering, the SDGs have been integrated into the curriculum as optional subjects. In this report, we present an investigation into implementing the SDGs in a Biomimicry and Sustainability course offered during the spring and fall semesters of 2022, with 194 students divided into six groups. Using challenge-based learning, students proposed utilizing wind or solar resources to generate electricity in a selected region. They were asked to conduct extensive research and precise engineering calculations to ensure the viability of their alternative energy sources. Additionally, each group had to select three or more SDGs that best aligned with their proposal, justifying their choices. The evaluation of the reports was based on rubrics and checklists that assessed the integrity of their argumentation and the adequacy of the report components. Most students chose SDGs 7, 11, and 13. In an anonymous survey, students expressed that incorporating the SDGs into the assignment significantly enhanced the importance of their learning experience. We recommend that other educators follow suit and incorporate the SDGs into their students’ projects or proposals, irrespective of whether their institution has a sustainability plan, aiming to transform sustainability into a competency rather than a fixed concept
Investigating the Effect of Using Educational Videos and Recorded Lectures in Understanding the Contents of Pre-Engineering Courses
Get PDFSome students may struggle to understand the contents of courses with intensive conceptual content and problem-solving, especially when the courses are offered online. Offering courses online may present challenges such as technological issues, time management, and a lack of interaction with instructors. This paper investigates the effect of using educational videos and recorded lectures on students enrolled learning and performance. A questionnaire survey was conducted among students in the “Engineering Economics” course at an international institution for pre-engineering students before they chose their specialization. The survey was conducted during the Fall 2021 semester (before the coronavirus pandemic) and the “Spring 2022” semester (during the pandemic). The performance of students during the “Spring 2022” semester was compared with their performance during the “Fall 2021” semester, when students relied solely on face-to-face lectures. During the “Spring 2022” semester, educational videos and recorded lectures were made available to students. Analysis results revealed that students had a positive perception towards the use of educational videos and recorded lectures. Students’ feedback regarding watching videos and recorded lectures was quite positive and enhanced their performance in the course. A generic VBA framework was developed to suggest educational videos and recorded lectures relevant to selected course topics. An initial pilot test of this tool received very positive feedback from students
Project- and Research-Based Teaching in Civil Engineering
Get PDFResearch-based practical applications are becoming increasingly important in providing valuable solutions to the challenges facing the construction industry. In this paper, we present a teaching concept that was implemented and evaluated in four courses, addressing the development of future-proof academic skills, particularly scientific working skills, in the field of civil engineering. The first evaluation results from a survey among the students who participated in the four courses are presented on the extent to which project-based and researchbased learning promote domain competences, planning, and study skills. The results indicate that, especially in master’s degree courses, future skills are improved by paper-based learning. Additionally, student motivation increases due to the boost in creativity and group work facilitated by the teaching concept. On the other hand, the results suggest that guidelines are necessary to implement paper-based learning, especially in bachelor’s degree courses. Furthermore, it is crucial that future-proof academic skills are relevant for success in the practical working context
Reflective Thinking on Enhancing Student Competencies in Learning Management through Outcome-Based Learning According to Constructive Alignment
Get PDFThis study investigates the implementation of learning outcomes-based education in mechanical engineering, focusing on students aspiring to pursue teaching careers. By using constructive alignment and reflective thinking methodologies, the study aims to enhance these students’ competencies in line with professional teaching standards. The study targets a group of 23 mechanical engineering students. The researcher’s established learning process forms the basis for the study methodology, incorporating learning objectives, active learning, and reflective thinking. The tools employed include a knowledge measurement test, activity evaluation through observation participation, follow-up on a permitted 5-level activity, reflection on learning experiences through writing, structuring learning activities in each subject, and assessment using qualitative content analysis. The results reveal significant variations in students’ academic achievements before and after the study, indicating moderate learning progress. The assessments of management learning performance are comprehensive, with learners engaging at the highest average level. This study underscores the significance of reflective learning approaches in developing competencies that align with professional teaching standards, enhancing students’ capacity to critically assess their thoughts, feelings, and attitudes, thereby influencing their actions and preparing them for real-world applications
Software Defined Network Based Next Generation Mobile Communication Network Architecture
Get PDFAs mobile networks and network speeds become more prevalent, the demand for marketing strategies increases. The operators are thinking about this, and the development of 5G communication networks is one of their main concerns. As the need for higher transmission speeds increases, 5G networks face challenges of scalability and adaptability. The nextgeneration mobile network (NMCN-SDN) architecture proposed in this study is based on Software-Defined Networks (SDN). A new network model called computer-defined networking allows for dynamic network definition and programming. A network simulator is created to examine the efficiency of the built infrastructure under different network conditions, including throughput, latency, and resource consumption. In this paper, the comparison of end-toend latency between the standard communication architecture and the proposed NMCN-SDN architecture is done. The results show that the proposed architecture has less space in various conditions compared to existing communication architectures in various conditions
Using Artificial Intelligence to Influence Student Engagement in Media Content Creation
Get PDFIntegrating artificial intelligence (AI) into educational environments transforms how students learn and engage in creative activities. The main purpose of this study is to examine how AI-enhanced learning experiences influence students’ engagement in media content creation (MCC). The study identifies key factors that drive or hinder students’ involvement in media-related activities and explores how AI-based tools and technologies can enhance learning outcomes and foster creativity in content creation. The results indicate a positive impact resulting from linking AI application factors to content creation. This study employs a quantitative methodology by distributing a questionnaire to university students. An application was developed as part of the study to help students enhance their media creation skills using AI techniques. The study highlights how AI factors influence and attract students to engage in content creation
Innovation and Optimization of Corporate Governance Models through Mobile Interactive Technology
Get PDFIn the context of rapid globalization and the swift advancement of information technology (IT), traditional corporate governance models are increasingly challenged by complex business environments and the growing demand for diversified collaboration. These models often exhibit rigidity and inefficiency. The introduction of mobile interactive technology offers new possibilities for the innovation and optimization of corporate governance models. Through mobile interactive networks, resource allocation and collaboration between departments can be conducted flexibly and efficiently. Existing research predominantly focuses on traditional management information systems and centralized resource allocation methods, which frequently overlook the diversity and dynamic nature of internal resource demands within enterprises, making them inadequate for addressing the needs of modern corporations. This study proposes a collaborative interaction mechanism for corporate governance based on matching theory, designing a system model that includes collaborative task demanders and executors, and the social utility of mobile interactive networks. The findings demonstrate that this mechanism enables efficient resource allocation and stable collaborative interactions in complex environments, providing both theoretical support and practical guidance for the innovation of corporate governance models