Innovative Diagnostic Techniques for the Preservation of Historical Monuments: Immediate and Instrumental Approaches| Chapter 3 | Chemical and Materials Sciences: Developments and Innovations Vol. 9

 

This chapter examines various auscultation techniques used for the conservation and pathological diagnosis of historical monuments and ancient constructions. These structures present technical challenges due to their complexity and fragility, making early and accurate diagnosis essential to prevent significant damage.

 

Inspection techniques are classified into immediate and instrumental methods Immediate methods are based on organoleptic observations or simple tools, and instrumental methods utilize advanced devices for detailed data acquisition. Key immediate techniques include visual inspection, material analysis, and lesion mapping, while instrumental methods encompass thermography, ultrasound, mechanical resistance measurement, and humidity and salt mapping. The innovative use of drones is highlighted as a valuable inspection tool, enabling access to complex areas while minimizing risks to workers and monuments.

 

The chapter emphasizes that these techniques enable faster, less invasive, and more cost-effective interventions, ensuring the preservation of cultural heritage through a preventive approach. It concludes by noting the importance of combining field techniques with laboratory analyses for more comprehensive diagnostics.

 

Author(s) Details

Ruben Rodriguez Elizalde

Faculty of Economics and Business, Universitat Oberta de Catalunya (UOC), Rambla del Poblenou, 156, 08018 Barcelona, Spain.

 

Please see the book here:- https://doi.org/10.9734/bpi/cmsdi/v9/3683

Scientific-Social-Community Impacts: The Study on Micro Drones and Nano Drones | Chapter 3 | Science and Technology - Recent Updates and Future Prospects Vol. 5

 

This study aims to consolidate and discuss the diverse applications of drone technology across various domains, including defense, agriculture, indoor exploration, forest navigation, swarm robotics, disaster management, and waste assessment. This study encompasses a comprehensive analysis of research explorations spanning different applications of drone technology, focusing on the methodologies employed, major findings, and implications in respective fields. The study also covers research conducted in diverse geographical locations and spans varying durations, reflecting the global significance and ongoing advancements in drone technology. Various methodologies encompassing experimental validation, algorithm development, field trials, and simulations to address specific challenges in each application domain are discussed. Drone technology presents versatile solutions across diverse domains, revolutionizing practices in agriculture, exploration, disaster management, and environmental monitoring. Continued research and innovation are crucial for unlocking the full potential of drones and ensuring their widespread adoption for societal benefit.

Author(s) Details:

Dr. Rekha P.
BNM Institute of Technology, Bangalore, India.

 

Dr. Manjunath G. Asuti
BNM Institute of Technology, Bangalore, India.

 

Maaz Hussain
BNM Institute of Technology, Bangalore, India.


Misrah Naveed
BNM Institute of Technology, Bangalore, India.


Please see the link here: https://stm.bookpi.org/STRUFP-V5/article/view/14863

Application of Artificial Intelligence in Drones in the Mining Industry: A Case Study | Chapter 7 | Research Highlights in Science and Technology Vol. 9

In this branch, we are utilizing AI-stimulate drones for the analysis of agricultural land use in excavating leases. Drones in mining have proved tremendous growth and have further added meaningful value to all mining projects. With better arrangement, in-depth study, diminished expenses, and profound workers' security, the mining industry has erect its hero. The automation of drone control, which involves the control of navigation and evolution, has been made likely by the use of machine intelligence (AI). Numerous techniques, such as GPS pursuing, computer view, and machine learning algorithms, maybe used to implement this application. During the survey, data was grabbed using drone tools within the mining sublet and up to 100 meters from allure boundary. The data was used to devise 3-dimensional models of the excavating lease. The survey area and winged path were forged using KML in software uses, which admitted for precise planning and killing of the drone flights.Drones are crucial for land scrutinizing and mapping due to their singular mix of dimensional coverage and resolution. The Orthomosaic device may produce extreme precision georeferencing if various ground-control points were used. In conjunction with field observations, drones determine a prompt and precise method of recording land data and allure use. A drone survey and mapping movement was conducted within a excavating lease located near the village of Kanthariya, in the Tehsil and District of Chittorgarh, top an area of 64.75 hectares, for the study of agricultural land use in the mining hire. The use of artificial intelligence to mechanize the control of drones is an application of AI in the field of drone electronics. This technology can boost the accuracy and efficiency of drone movements, including traveling and movement.

Author(s) Details:

Hitanshu Kaushal,
College of Technology & Engineering, MPUAT, Udaipur, India.

Anupam Bhatnagar,
Department of Mining Engineering, College of Technology & Engineering, MPUAT, Udaipur, India.

Please see the link here: https://stm.bookpi.org/RHST-V9/article/view/11665

Refurbishing Recent Emerging Technology Trends in Construction Industry| Chapter 10 | Techniques and Innovation in Engineering Research Vol. 6

 Adoption of current digital revolution technology is necessary today to speed up trade and serves as the foundation for building improvement. Incorporating and undertaking of the technologies in the way that cloud-based communication and cooperation solution, BIM, Construction Management (CM) Software, AR/ VR, 3D publication, Digital Twins, AI, Big Data, IoT, Blockchain, Modular Construction, Offsite Manufacturing, Prefabrication, Robotic, Drones, Mobile Apps and 5G expedite the progress in Construction Industry (CI). The objective concerning this article search out provide the climbing pattern amongst digital electronics trends in explanation which are recognized based on a study completed activity during 2020-2022. Result discloses that number of construction technology currents vary from 4 to 20 for CI, and ultimately reaches to 27 for Civil Engineering (CE). Adoption and implementation of these science trends increases effectiveness and productivity, reduces risks and time, supports higher freedom and green sustainability, and improves the overall commerce. The challenges and solutions are very embracing engaged of construction. Thus, the CI is constantly developing with preliminary of new technologies and these creative technologies show potential in change construction manufacturing operations and provides directions for future projects.

Author(s) Details:

Gayatri Mahajan,
Department of Architecture, Allana College of Architecture, Pune (Maharashtra), India.

Please see the link here: https://stm.bookpi.org/TAIER-V6/article/view/8956