Online-Journals.org (International Association of Online Engineering)
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Leveraging Mobile Interaction Technologies for Real-Time Decision Making in Enterprise Management Systems
Get PDFWith the widespread adoption of mobile internet and smart devices, enterprises face rapidly changing market environments and complex decision-making requirements. How to utilize mobile interaction technologies to enhance real-time decision-making capabilities in enterprise management systems has become a critical issue in modern business management. Through real-time data transmission and interaction via mobile devices, businesses can more flexibly acquire information, monitor statuses, and optimize decision-making processes, thereby improving the timeliness and accuracy of decisions. Existing research primarily focuses on traditional decision support systems (DSS) and data mining technologies, but these methods fall short when addressing the dynamic and real-time decision-making needs, especially in complex enterprise management scenarios. One major challenge remains the effective integration of multiple data sources. Therefore, leveraging real-time interactive data from mobile technologies to improve decision support in enterprise management systems becomes a pressing research topic. This paper proposes a real-time decision-making framework for enterprise management systems based on mobile interaction technologies, focusing on the problem description of real-time decision-making in enterprise management and a decision-making mining framework based on mobile interaction relationships and mixed user discourse (including decision belief propagation based on mobile interaction relationships and the UCBert model based on user content analysis). Through this framework, the paper aims to enhance decision-making accuracy and timeliness, enabling enterprises to make more informed and efficient decisions in a dynamically changing market
The Outcomes of Project-Based Learning System on Metaverse through Design Thinking for Buddhism Innovators
Get PDFThe project-based learning system on the metaverse through design thinking for Buddhism innovators, or the PjBL system on the metaverse, is designated to be used as a tool to promote self-directed learning and Buddhism in Thailand. The PjBL system on the metaverse emphasizes the learning style that can develop the 21st-century skills, and the system relies mainly on the processes of project-based learning and design thinking, which are believed to bring about creative strategies for the development of new innovations based on new ideas. The PjBL system on the metaverse can be put into practical use in digital learning environments on the metaverse, which are capable of providing realistic and immersive learning experiences in such a way that users can feel as if they were in the physical world. The system also supports interactions, easy access to learning resources, and sharing of information, all of which are said to increase learners’ confidence and practical skills in using digital technologies. This study was carried out by means of pre-experimental research method with a onegroup pre- and post-test design, and the research results are consistent with all four research hypotheses. According to the observations, it is found that the PjBL system on the metaverse is considered a learning tool in the virtual world that Buddhist innovators can practically apply to create new innovations to promote Buddhism through immersive learning technology. Furthermore, the PjBL system in the metaverse can promote experiential learning, enabling users to acquire new bodies of knowledge as to their own abilities, find out new methods to solve problems, create their own works, carry out their tasks efficiently, develop different knowledge and experiences, and improve necessary technological skills needed in today’s era
Research on Financial Risk Management of Wen's Enterprise Based on Factor Analysis Method
Get PDFThis study aims to improve the financial risk management level of listed livestock enterprises and selects Wen’s Group as the research object to assess its financial risk in four aspects: growth, profitability, operation, and debt repayment. The publicly disclosed data for the first quarter of 2017–2023 are analyzed by factor analysis, and the following conclusions are drawn: (1) From 2017 to 2020, the company’s financial composite score is basically stable but stays at a low level; (2) Wen’s enterprises have multidimensional problems in terms of growth, profitability, operation, and debt repayment; (3) it is recommended to improve the management of accounts receivable and inventories, increase the liquidity of assets, optimize asset utilization, and develop effective growth strategies. It is critical to conduct regular financial health checks to address issues and improve financial performance in a timely manner. In order to achieve transformation and upgrading, strengthen disease prevention and control, improve cooperative relationships with farmers, diversify investment risks, avoid policy risks, improve efficiency, and cope with emergencies, Wenzhou enterprises need to take effective measures
International Design Standards and Virtual Learning: Investigations of Teachers’ Experiences
Get PDFThe study aimed to reveal the consideration degree of the Darsak Educational Platform (DEP) for the International Design Standards (IDS) from teachers’ perspectives in Jordan. In addition, it aimed to investigate the relationship between the consideration degree and the variables of teacher’s gender, specialization, and classes they teach. To achieve the study objectives, the analytical descriptive method was used, and the study instrument (questionnaire) was developed based on reviewing many IDS, such as QM, SCORM, INACOL, and IEEE-LOM. The questionnaire was distributed after checking its validity and reliability. The study sample consisted of 352 teachers from public schools of the Kasbah District in Amman during the first semester of the school year 2022/2023. The sample study was selected based on the stratified random method. The results showed that the consideration degree of DEP for IDS from teachers’ perspectives in Jordan was moderate. Further, findings indicated that there were no statistically significant differences in the consideration degree of DEP for IDS from teachers’ perspectives attributable to the variables of teacher’s gender, specialisation, and classes they teach. In light of these results, the researchers recommended the need for redesigning and developing DEP in accordance with IDS for the quality of international e-courses. In addition, they suggested periodically reviewing and evaluating the DEP platform every three years as a maximum, as well as conducting further research on the evaluation of the inclusivity and resource availability in DEP as one of the virtual learning environments. These findings imply the need for enhancements in the platform’s design to better align with IDS, thereby improving usability, accessibility, and overall effectiveness. Additionally, the lack of differences across demographic variables underscores the importance of adopting universally effective design practices to ensure equitable support for all educators, regardless of their backgrounds or teaching contexts
Securing the Mobile Future: An Extensive Analysis of the Threat Landscape from Mobile Devices User Perspectives
Get PDFMobile devices are becoming increasingly popular in the modern era, posing a significant threat to the security of organizations. As a result, mobile devices have become more and more vulnerable to cyberattacks. The current study aims to assess the threat landscape of mobile devices from the perspectives of users, highlighting the importance of user-centered perspectives in designing solutions to mobile security threats. A total of 47 participants of different demographic profiles were recruited as respondents, and the primary data were collected through an online questionnaire. The study concludes with a discussion of the findings’ implications for research and practice in mobile security. The paper outlines the current state of the art in mobile device security, including vulnerability to security threats, privacy risks, trust in security measures, awareness of potential threats, and satisfaction with the security provided by mobile operating systems. The results demonstrated that users are unaware of data protection and mobile device security, which have a substantial impact on an organization’s performance. However, this study lays a foundational perspective for future advancements in security audits, aiming to enhance cybersecurity practices in an increasingly mobile-centric corporate landscape
Leveraging Nano Block-Lattice for Cost-Effective Large-Scale Wi-Fi-Based IoT Network Expansion
Get PDFThe rapid expansion of Internet of Things (IoT) networks necessitates cost-effective and scalable solutions for secure data transmission and storage. This study explores the integration of Nano (XNO) cryptocurrency with Wi-Fi repeater networks to address the challenges of IoT scalability and data security. By leveraging XNO’s block-lattice structure, this study demonstrates how the cryptocurrency’s minimal transaction fees, high transaction throughput, and low latency make it an optimal solution for real-time IoT data handling. In combination with Wi-Fi repeater networks, which extend coverage and reduce signal loss, the proposed system enables secure, decentralized storage of IoT data. Performance metrics, including latency, transaction throughput, and cost, show that the XNO-integrated IoT network outperforms traditional blockchain technologies such as Ethereum and IOTA, offering a promising solution for large-scale IoT deployments
Construction of an Online Learning Resource Recommendation Model Based on Artificial Raindrop Algorithm in The Context of Smart Education
Get PDFThe explosive growth of online education has transformed traditional teaching, resulting in difficulties such as course selection, complex learning paths, and information overload. This study proposes an online resource recommendation (RR) model based on the artificial raindrop algorithm (ARA) to address these issues. In smart education (SE), the study first establishes a learner model (LM) to capture learners’ personalized needs and characteristics. The ARA is then used to construct an online learning RR model, simulating raindrops’ search to find the optimal learning resources. A perturbation mechanism is introduced to improve the algorithm’s diversity and search ability, enhancing the quality of recommendations. Experiments showed the proposed algorithm’s training time of 3.605 seconds, shorter than comparison algorithms, and better accuracy, recall, and F1 scores of 0.9531, 0.07639, and 0.1272, respectively. This study offers new methods and ideas for improving course selection and learning paths in online education platforms
Technology in Childhood: Mobile Application for Managing Screen Time
Get PDFThe paper examines the risks and benefits of digital technology affecting child development. A mobile application was created to help parents monitor and control their children’s use of electronic devices. The methodology included interviews with a child psychologist, documentary research, the creation of the application, and questionnaires for parents before and after its implementation. The results indicated that after using the application, children experienced a 40% reduction in screen time and a 20% improvement in academic performance. Additionally, a positive change in children’s attitudes toward technology was observed, resulting in greater interest in participating in physical activities and interactive games. The study concludes that mobile applications effectively promoted a more balanced use of digital technology in childhood, highlighting the role of parents and the need for ongoing education on how to use technology responsibly
Securing 5G Networks by Mitigating Cybersecurity Risks for Transformative Applications
Get PDFThe increasing adoption of 5th generation (5G) networks introduces significant cybersecurity challenges due to the expansion of the attack surface, driven by network slicing, edge computing, and a massive number of connected devices. These challenges demand robust access control mechanisms to mitigate potential risks while maintaining network efficiency. This study presents the Secure 5G Access Control (S5GAC) protocol, a comprehensive security framework designed to enhance user and device authentication through multi-factor authentication (MFA), contextual access control, and continuous monitoring. Unlike existing security models, S5GAC incorporates dynamic risk assessment, leveraging network traffic anomalies, user activity deviations, and device behavior irregularities to enforce adaptive access control measures. Comparative analysis demonstrates that S5GAC achieves a significant reduction in data exfiltration risks, substantial mitigation of cross-slice breaches, and notable improvement in threat detection, all while imposing only a minor latency overhead and a slight throughput reduction. Additionally, the MFA implementation in S5GAC achieves a high authentication success rate, reinforcing its effectiveness in securing high-density 5G environments. Future research will focus on AI-driven threat detection, federated learning-based security, and blockchainintegrated identity management to enhance scalability and resilience in ultra-dense 5G deployments. The proposed S5GAC protocol serves as a future-ready security solution, ensuring robust protection against cyber threats while maintaining optimal network performance
A Quantitative Model for Evaluating the Effectiveness of Lifelong Education for Highly Skilled Professionals Supported by Mobile Technology
Get PDFWith the rapid advancement of the global economy and technology, the demand for highly skilled professionals has continued to rise. Lifelong education has emerged as a crucial pathway for developing such professionals. The widespread application of mobile technology has created new opportunities for lifelong education, enabling learning to take place anytime and anywhere. However, existing evaluation methods primarily rely on traditional tools, which lack real-time monitoring and quantitative evaluation of the learning process, making it challenging to address the complexity and dynamic nature of learning. To address these limitations, a quantitative evaluation model for the effectiveness of lifelong education for highly skilled professionals supported by mobile technology was proposed in this study. The model consists of two primary components: (a) real-time monitoring and prediction of learning engagement and (b) detection of abrupt anomalies in learning behavior. This study aims to support educational administrators and learners in decision-making, advance lifelong education, and provide robust data-driven insights for educational policy formulation