10th International Congress on Information and Communication Technology in concurrent with ICT Excellence Awards (ICICT 2025) will be held at London, United Kingdom | February 18 - 21 2025.
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Authors - Bryan S. Guevara, Jose Varela-Aldas, Viviana Moya, Daniel C. Gandolfo, Juan M. Toibero Abstract - This study presents an innovative methodology for the development and testing of a digital twin for an Unmanned Aerial Vehicle (UAV), effectively bridging the simulation-reality gap. The proposed approach integrates Model-in-the-Loop (MiL) and Hardware-in-the-Loop (HiL) testing, enabling a comprehensive evaluation of the UAV’s digital twin in simulated environments. Behavioral testing includes open-loop scenarios, baseline feedback controllers, and Model Predictive Control (MPC). The UAV’s dynamic model is simplified and rigorously validated through experimental verification, ensuring high fidelity and reliability. Furthermore, this approach facilitates the critical transition from simulation to real-world experimentation by providing a robust framework for evaluating UAV performance under realistic conditions. This methodology highlights the importance of experimental validation in replicating real-world scenarios, ensuring the robustness and accuracy of the digital twin.
Authors - Restyandito, Danny Sebastian, Audrianne Gunawan Abstract - Borobudur Temple, a 9th-century Mahayana Buddhist monument in Central Java, Indonesia, is renowned for its intricate design and historical significance, attracting millions of visitors annually. Generation Z, being digital natives, prefers interactive and personalized experiences, making the AR Budur application an ideal solution for navigating the vast and intricate Borobudur Temple complex. By leveraging Augmented Reality, AR Budur aims to provide an engaging and intuitive experience that aligns with the tech-savvy nature of Generation Z, enhancing their exploration of this culturally significant site. Based on the research results Generation Z, especially female high school and undergraduate students, are ideal candidates for the AR Budur application due to their tech-savviness and high smartphone usage. Their navigation preferences emphasize the need for combining digital tools with human assistance and features like street view and real-time updates. Usability testing of AR Budur showed an average SUS score of 70.357, indicating above-average usability but with room for improvement. Feedback highlighted issues like elevation discrepancies in 3D mapping, which have been addressed, and suggestions for adding information about Borobudur Temple's reliefs for future updates.
Authors - Kunihiko Takamatsu, Tetsuya Oishi, Takahiro Seki, Kahori Ogashiwa Abstract - This study investigates the transformation of higher education in the post-COVID-19 era, focusing on the integration of Information and Communication Technology (ICT) and data-driven education approaches in strategic planning processes. Through a comprehensive survey of Japanese universities (N=816), including national (52.3% response rate), public (42.2%), and private institutions (15.8%), we examined how universities are adapting their medium-term planning frameworks to address contemporary challenges. The research reveals that 98.4% of respondents recognize the importance of data utilization in strategic planning, while highlighting the need for a more sophisticated approach that combines traditional methods with Eduinformatics frameworks. Our findings demonstrate that the post-COVID-19 landscape demands strategic plans that effectively leverage both quantitative metrics and qualitative assessments, particularly in evaluating educational outcomes. The study identifies key challenges in implementing data-driven approaches and proposes a comprehensive model for strategic planning that integrates ICT capabilities with institutional research (IR) methodologies. This research contributes to the emerging field of Eduinformatics by providing empirical evidence for the development of adaptive, technology-enhanced planning frameworks in higher education, while acknowledging the need for flexible, institution-specific approaches to strategic management in the post-COVID-19 era.
Authors - Ashok Kumar, Sanjeev Patwa, Sunil Kumar Jangir Abstract - Insider threats are one of the toughest challenges in cybersecurity. Insider attacks can be particularly dangerous because they often go unnoticed and can lead to serious problems like data breaches, financial losses, and damage to a company’s reputation. This issue has become even more pressing in recent years with the rise of digital operations and remote work. Research-ers have shown how machine learning can help predict these insider threats. While supervised learning models have shown great accuracy in identifying threats in certain datasets, they face a major hurdle: there simply isn’t enough labeled data on insider threats. On the other hand, unsu-pervised learning methods can spot unusual behavior and reveal hidden threats, but they often produce false alarms. Deep learning techniques could potentially offer better accuracy, but they require a lot of computing power and large amounts of training data. There are also exciting new trends in the field, such as behavioral biometrics, hybrid models, and explainable AI. However, challenges like inconsistent evaluation metrics and the difficulty of applying these models across different organizations still exist. This review aims to bring together existing research and pin-point key areas that need more attention, providing a roadmap for future studies. By addressing issues like the need for standardized datasets, encouraging collaboration across different fields, and incorporating contextual data from organizations, this paper seeks to help future researchers create more effective and adaptable models for predicting insider threats.
Authors - Key Sabbathany Togiana Tambunan, Nurul Sukma Lestari, Tri Wiyana Abstract - This study aims to analyze the relationship between Perceived Usability, Perceived Information, Perceived Service interaction, Satisfaction, and Engagement among the associates and the organization to which they apply. The methodology in this research paper involved quantitative data collected from a sample of 200 associates working within luxurious five-star hotels in Jakarta that implement online application platforms in the job application process. The data processed utilized the SEMPLS. The findings have revealed that a higher level of Perceived Usability, clear Perceived Information, and Perceived Service Interaction unquestionably contributes to an increase in satisfaction and engagement among candidates. The novel perspective of this study contributes by associating Perceived Information and Perceived Service Interaction directly to user engagement in Jakarta’s luxury hotels, by offering an insight that management is encouraged to prosecute during the job application process. This study discovers the new finding of the need for change to a wider range of comprehension of how clear communication and relevant information mold the user experience. Focusing on the experience of users in the application platforms, this research provides a unique understanding for management to increase the success of recruitment and nurture an engaging work environment for potential associates. Future studies are encouraged to explore these dynamics through extensive research to achieve a better understanding of their long-term impact on employee performance and retention in the fast-changing hospitality industry.
Authors - Xuening Tang Abstract - Human-Machine Communication (HMC) explores the joint meaning-making processes between humans and communicative intelligent machines, as well as its broader societal implications. The rapid advancements in Natural Language Processing (NLP) and Natural Language Generation (NLG) have transformed intelligent machines from passive tools to active social actors, capable of understanding and generating human-like messages. This paper evaluates the evolving research agenda of HMC, focusing on popular communication frameworks such as the CASA paradigm, the dual-process model, and social presence. It examines their theoretical foundations, transformations, limitations, and potential future extensions. Furthermore, this paper discusses the societal and ethical dimensions of HMC and provides recommendations for advancing research, including interdisciplinary approaches and the refinement of methodologies.
