Online-Journals.org (International Association of Online Engineering)
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Optimizing Memory Usage in Android Smartphones: A Comparative Analysis of Data Structures Across Different Hardware Architectures
Get PDFEfficient memory management is a critical factor in enhancing the performance of mobile applications, particularly in resource-constrained environments. This study comprehensively evaluates memory consumption across various data structures on Android smartphones with different hardware architectures, including Snapdragon 732G, Snapdragon 805, and Dimensity 9300. The analysis employs statistical metrics such as standard deviation, minimum, median, and maximum memory usage to assess different data structures’ efficiency. Empirical results demonstrate that primitive data structures exhibit significantly lower memory overhead than more complex structures such as LinkedList and ArrayList, which tend to increase memory fragmentation and garbage collection (GC) overhead. A significant change is the testing of the Primitive Array data structure with API 30 to API 33, which experienced a decrease in memory usage of almost 61%. These findings offer valuable insights for Android developers, enabling them to make informed decisions in selecting optimal data structures to enhance memory efficiency, reduce application latency, and improve overall user experience
Mobile Game Technologies and Cognitive Development in Ukrainian Preschool and Primary Education: A Correlational Study
Get PDFThe current development of preschool and primary education requires the involvement of various modern technologies, among which mobile game technologies play a significant role. The purpose of this study is to determine the relationship between the use of mobile game technologies in education and the development of cognitive abilities. Purposive sampling was used to involve children (n = 58), teachers (n = 41), and parents (n = 76). The study covers children aged 5–10 years who study in preschool and primary schools in Ukraine. Several instruments were used in the study. The survey was conducted among parents and teachers. Testing, such as the Benton Visual Retention Test (BVRT) and Raven’s Progressive Matrices (RPM), is used among children. The Wechsler Intelligence Scale for Children was also used. The results show that mobile game technologies are used in educational institutions daily or several times a week. The tests showed that older children who use mobile gaming technologies have higher results in both tests. The conclusions suggest a relationship between the frequency of mobile gaming technology use and cognitive skills, with a strong positive effect on general intelligence (IQ), verbal skills (VCI), logical thinking (PRI), working memory (WMI), and information processing speed (PSI)
Game Theory Algorithms for Resource Allocation in 5G MIMO
Get PDFEfficient resource allocation is essential in 5G MIMO networks due to increasing demands for high-quality communications. This paper compares four game theory algorithms: Stackelberg, Nash Bargaining, Mean Field Game, and Potential Game, evaluating their effectiveness in allocating resources dynamically. A simulation environment is developed to represent realistic user mobility by continuously updating user equipment (UE) positions. Each algorithm is assessed based on UE distribution, fairness, bandwidth consumption, and energy efficiency. The simulation results show clear differences among the algorithms, highlighting specific advantages and limitations that help inform resource allocation strategies in practical 5G network scenarios
The Transformation of English Teaching Models and the Development of Intelligent Learning Environments in Higher Education Enabled by Mobile Technology
Get PDFWith the rapid advancement of mobile technology, unprecedented opportunities for transformation have emerged in English teaching within higher education. The widespread adoption of mobile devices has extended the temporal and spatial dimensions of learning while significantly enriching the forms and content of teaching interaction. This evolution has driven a pedagogical shift from closed, linear models toward open, dynamic frameworks. Within this context, in-depth research on teaching interaction relationships under mobile-interactive environments has become critical for enhancing both teaching effectiveness and learner experience. Although previous studies have explored the design and implementation of mobile learning platforms, most have remained at a functional level, lacking quantitative analysis and structural identification of teaching interaction. Moreover, interaction data have primarily been processed using static methods, limiting the ability to dynamically capture authentic patterns and evolving trends in learner interaction. Therefore, a systematic research framework is urgently required—one capable of accurately identifying interaction relationships while translating analytical results into actionable strategies for pedagogical optimization and learning environment development. To address these needs, this study undertakes two core objectives: first, to identify teaching interaction relationships in mobile-interactive contexts by analyzing the structure, characteristics, and evolution of teacher-student and student-student interactions; second, to optimize English teaching models based on these findings and to construct an intelligent, personalized learning environment system. By leveraging data mining of mobile interaction relationships, a visualized and structured feedback mechanism was proposed for instructional practice, thereby promoting the development of English teaching in higher education toward a more intelligent, efficient, and interactive paradigm
Privacy-Aware and Efficient Model for Secure Infrastructure in Software-Defined Vehicular Networks
Get PDFThe rapid advancement of software-defined vehicular networks (SDVN) has transformed transportation systems by introducing programmability, flexibility, and centralized management. By decoupling the control and data planes, SDVN enhances network efficiency and adaptability, thereby enabling real-time traffic management and intelligent decision-making. However, this centralization also presents significant security and privacy risks, exposing networks to threats such as unauthorized access, data breaches, and malware infections. To address these challenges, we propose a secure and privacy-respecting infrastructure for SDVN, integrating advanced cryptographic techniques and lightweight authentication mechanisms. Our model utilizes the Edwards-curve digital signature algorithm (EdDSA) for authentication, elliptic curve Diffie-Hellman (ECDH) for key exchange, and an enhanced certificate revocation list (CRL) to strengthen security. This approach aims to provide low-latency authentication, robust data protection, and improved privacy preservation, while ensuring efficient resource utilization in SDVN. Through verification and analysis, including simulation comparisons showing 20% improvement in authentication time and 15% reduced computation overhead, we demonstrate the effectiveness of our model in securing vehicular communications against emerging cyber threats
The Role of Smart-Phone Based Interactive Technology in Marketing
Get PDFThe role of smartphone-based interactive technologies, like WhatsApp, in marketing has gained increasing attention because businesses seek more personalised and direct communication channels with consumers. WhatsApp is a widely used messaging application that positively contributes to digital marketing strategies and influences consumer behaviour. The research aims to study the types of interactive technologies used in mobile marketing, particularly WhatsApp, and their impact on consumer behaviour. The analysis includes the theoretical frameworks of WhatsApp marketing as a modern digital approach that provides different advantages in promoting products and services across different sectors. Additionally, the features, tools, and strategies linked with WhatsApp marketing are presented in an explanatory manner and described thoroughly, along with the advantages and disadvantages of its use. Further explanation is provided on consumer behaviour, particularly examining the way WhatsApp marketing drives the purchasing process and decision-making of consumers. The study investigates various marketing practices using WhatsApp, including customer engagement, relationship building, realtime support, and targeted promotional campaigns. The systematic review synthesises existing literature to identify the advantages of WhatsApp marketing, like the high engagement rates, cost-effectiveness, and enhanced customer trust, along with challenges including privacy concerns and message fatigue. A discussion follows on the key points that marketers and business managers consider while integrating WhatsApp into their digital marketing strategies by focusing on its value in enhancing customer engagement, loyalty, and brand interaction
Real-Time Polyp Detection in Colonoscopy Using YOLOv8: A Fast and Accurate Deep Learning Approach
Get PDFPolyps that may develop on the inner surfaces of the intestines or rectum are considered the primarily cause of colorectal cancer (CRC). To enhance survival rates, it is essential to focus on early detection, accurate prognosis, and timely treatment, typically involving surgical removal of polyps. The employment of advanced computer-aided diagnosis systems (CADx) that utilize appropriate machine learning techniques, particularly deep learning methods, aids physicians in achieving a highly relevant detection of abnormalities during internal examinations of the human body. In this context, this paper discusses a deep learning framework for automated polyp detection utilizing the you only look once (YOLO) model. This paper introduces a detection system based on the YOLOv8n model, designed for simplicity, effectiveness, cost-efficiency, and potential significant support for healthcare providers and patients in the realm of polyp detection. The results achieved are compared with those obtained using the YOLOv7 model and demonstrate enhanced performance
The Application of Problem-Based Learning in Soft Skills Courses: An Experiment in Classes with Multidisciplinary Students in Vietnam
Get PDFSoft skills are essential if graduates are to meet the demands of the 21st-century workforce. This represents a major challenge for higher education programs, which need to adopt teaching methods that effectively equip students with these essential skills. This study evaluates the impact of a problem-based learning approach to curriculum design on soft skills for multidisciplinary students. The elective course, which attracts a diverse cohort of students, is delivered in a blended learning format. Using a mixed-methods research approach, the study collected data via questionnaires from 140 multidisciplinary students split between experimental and control groups, supplemented by in-depth interviews conducted after the course. This paper describes a proposed teaching process based on problem-based learning and details the implementation of an experimental lesson on time management as part of the soft skills curriculum. The results indicate that problem-based learning not only enhances the development of soft skills but also encourages student initiative and creativity by improving individual and teamwork skills in both online and face-to-face learning environments. Based on these findings, the study recommends further research to broaden the application of problem-based learning in higher education contexts
The Role of AI Chatbots in Engineering Education: Experimental Findings and Implementation Strategies
Get PDFIn the field of education, the recent revolution in the large language model (LLM) space has enabled a whole host of interesting applications, such as content generation, support, and even personalized learning. While there are many ad-hoc experiments in flight, scientific studies on the effectiveness of these techniques have been limited. In order to increase the scientific rigor and potential for experimental reproducibility, the Tallinn University of Technology (TalTech) team deployed an artificial intelligence (AI) chatbot within the context of a traditional mainstream mechanics physics course and instrumented the class to facilitate a scientific study on utility. The AI chatbot focused on course support and tutoring in the Estonian language, and the scientific design-for-experiment focused on impact for students, instructors, and course designers. The study revealed measurable gains in instructor productivity and student access. The study also demonstrated the expected need for additional due diligence required to manage AI hallucinations. Perhaps most interestingly, the study revealed the unexpected benefits of cataloguing student chat interactions as a rich data source for the development of instructional materials and future course design. In fact, LLMs were also very useful to evaluate these AI chatbot conversations. Overall, this scientific study provides insights for the educational community into the leverage of using AI chatbots for instruction and in dramatically increasing access by enabling the use of a local language
The Triple Helix of Knowledge: Synergies and Potentialities among Engineering, Art, and Education
Get PDFThis analysis explores the “Triple Helix of Knowledge,” examining the synergies between Engineering, Art, and Education, with knowledge as their common denominator. Engineering, rooted in ingenuity, focuses on applying scientific principles to solve problems. Art, stemming from skill and craft, involves mastery for creative expression. Education, encompassing upbringing and development, refines cognitive, practical, and social competencies. All three share a semantic foundation in cultivated skill, novelty generation, and human potential development. The paper proposes this model, building on the Sabato Triangle and the later Triple Helix model of innovation. It argues for a reengineering of engineering education, emphasizing adaptability, critical and creative thinking, and general life skills over encyclopedic knowledge. The integration of art into STEM (STEAM) is highlighted, advocating for a holistic approach that cultivates consciousness and prepares individuals for an AI-driven world. The ultimate goal is to foster professionals who integrate head, heart, and hands, ensuring innovation and relevance in a rapidly changing society