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Item type:Publication, Advances in resource management through the integration of distributed computing approaches(Wiley, 2024-03-08)With a focus on grid computing, cloud computing, and edge computing (EC), this chapter analyzes the integration of distributed computing systems for resource management. These methods present a number of advantages, including increased flexibility, scalability, and analysis and processing of data capabilities, but they also present difficulties, including efficient resource scheduling, management, and monitoring, as well as issues with data security and management. To address these challenges, researchers are developing new techniques and tools for managing and allocating resources across distributed computing environments. These include resource allocation and scheduling algorithms, monitoring and management tools, and security and data management techniques. The chapter also discusses emerging trends and future research directions in the field, including the increasing use of EC and the need for more efficient and effective resource allocation and scheduling algorithms. The integration of distributed computing approaches for resource management has the potential to transform computing infrastructure for organizations. By leveraging the resources of multiple systems and networks, organizations can scale their computing infrastructure, improve data processing and analysis capabilities, and improve overall efficiency and cost savings. Although there are difficulties to be overcome, the advantages of these technologies make them a crucial field for future research and development. the requirement for ongoing study and development in this field to solve problems and enhance methods and tools for resource management in distributed computing settings. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Advancements in UAV-enabled intelligent transportation systems: A three-layered framework and future directions(Multidisciplinary Digital Publishing Institute (MDPI), 2024-10-01)Featured Application: This paper addresses the practical application of unmanned aerial vehicles (UAVs) in modern transportation systems, mainly focusing on how UAVs can be effectively integrated into intelligent transportation systems (ITSs) to improve efficiency, safety, and decision-making in smart cities. It offers a framework for understanding current advancements and guides future research and development in this evolving field. Integrating unmanned aerial vehicles (UAVs) into intelligent transportation systems (ITSs) will be pivotal in shaping next-generation smart cities. This paper proposes a novel three-layered framework for integrating UAVs into intelligent transportation systems (ITSs) and reviews the current developments, challenges, and future directions in this emerging field. This framework provides a comprehensive overview of the key components of UAV-integrated ITSs, encompassing UAV specifications and deployment strategies, communication networks, and data utilization for traffic management. The first layer explores UAVs’ technical specifications, deployment strategies, and trajectory optimization, essential for maximizing UAV performance in transportation contexts. The second layer addresses the communication networks between UAVs and vehicles, along with the use of UAVs for responsive traffic monitoring. This includes the development of robust communication protocols and real-time traffic analysis to enhance system efficiency. The third layer focuses on advanced data collection processing techniques and complexities, reviewing the methods for analyzing the traffic data collected by UAVs for decision-making in transportation management. Moreover, the paper presents the current UAV-enabled ITS implementation, highlighting key challenges and future research directions. By providing a comprehensive overview of UAV-enabled ITSs, this study presents a significant portrayal of the current landscape of UAV integration in ITSs and serves as a foundation for future advancements in smart city infrastructure.Scopus© Citations 23 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Practical method for measuring and characterizing reflective convex surfaces using Ronchi deflectometry(Optica Publishing Group, 2026-01-01)This paper presents the experimental implementation of a measurement system for convex optical surfaces based on Ronchi deflectometry. The experimental setup, data processing procedures, system calibration, and surface curvature parameters are described using primary information obtained from the deflectometric measurements, namely the ray slope at different heights or slope-position pairs. Finally, the proposed method was applied to characterize six samples distributed across the effective measurement range of the system.