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In ND methods of durability monitoring, a wide area of applications is concerned due to its possibility of assessment conditions without causing damage to structures. Those methods are also being fine-tuned to create the connection of ND results to durability indicators of concrete under challenging environmental conditions such as marine exposure where gradients in water and chlorides significantly accelerate the deterioration. The non destructive methods such as ultrasonic pulse velocity and rebound hammer tests help in analysing the on- site behaviour of materials without causing any structural damage. More reliable descriptions of the in-situ behavior of in-place materials are available in ND techniques, like those of. Relations between UPV and core and cylinder compressive strengths together with rebound hammer results is being studied in this paper. The properties are compared to modulus of elasticity, bond strength, and cube compressive strength, which shows how rebound hammer tests performs when compared with other measures. An experimental process based on combination of ND and DT techniques to evaluate various grades of concretes, including M20 grade has been studied. For the slab samples, cores from each were obtained and were tested besides 100x200 mm cylinders and 150x150x150 mm cubes for testing compressive as well as pull-out strengths. Various methods such as UPV and rebound hammer showed good promising results for evaluating durability as well as integrity of a structure. The results confirm that the robust integration of ND methods with destructive methods for assessing concrete properties have underlined value in preserving the structural heritage and enhancing the long-term monitoring of the durability of concrete in adverse environments.

Agriculture forms a major occupation in countries like India. More than 75% people rely on farming for their daily wages. Food security on a global scale is mostly dependent on agriculture. Hence, achieving good yield in the crops grown by farmers is the major concern. Various environmental factors have a significant impact on the crop yield. One such component that contributes majorly to the crop yield is soil. Due to urbanization and enhanced industrialization, the agricultural soil is getting contaminated, losing fertility, and hindering the crop yield. One exciting new way to maximise crop yields while decreasing input costs is precision farming, which makes use of machine learning (ML) and the IoT. Machine Learning (ML) is employed for agricultural data analysis. The goal of this research is to optimise agricultural practices by presenting an integrated crop and fertiliser recommendation system. The proposed ML based model “Precision Agriculture” aims at predicting the suitable crops that can be grown based on the class which the soil sample belongs to and suggests the fertilizers that can be used to further enhance the fertility of soil. Using proposed model, farmers can make decisions on which crop to grow based on the soil classification and decide upon the nitrogen–phosphorous– potassium (NPK) fertilizers ratio that can be used. Comparison of the SVM algorithm with Naive Bayes, and LSTM has shown that SVM performed with a higher accuracy. Decision support tools that integrate AI and domain knowledge are provided by the study, which is a substantial contribution to precision agriculture.

This proceeding volume has been retracted from the publication because we found some solid reasons to believe that it has infringed our integrity criteria and now presents a risk for our journal and scholarly science in general. Different types of malpractice are involved, in particular citation manipulation and inappropriate references. We are extremely concerned by such malpractice which considerably impacts the image of our title and our Publisher’s reputation. For further details, please refer to our publishing ethics policies . If you have any questions, please contact us at contact@webofconferences.org See the retraction notice E3S Web of Conferences 505 , 00001 (2024), https://doi.org/10.1051/e3sconf/202450500001

This proceeding volume has been retracted from the publication because we found some solid reasons to believe that it has infringed our integrity criteria and now presents a risk for our journal and scholarly science in general. Different types of malpractice are involved, in particular citation manipulation and inappropriate references. We are extremely concerned by such malpractice which considerably impacts the image of our title and our Publisher’s reputation. For further details, please refer to our publishing ethics policies . If you have any questions, please contact us at contact@webofconferences.org See the retraction notice E3S Web of Conferences 505 , 00001 (2024), https://doi.org/10.1051/e3sconf/202450500001

This proceeding volume has been retracted from the publication because we found some solid reasons to believe that it has infringed our integrity criteria and now presents a risk for our journal and scholarly science in general. Different types of malpractice are involved, in particular citation manipulation and inappropriate references. We are extremely concerned by such malpractice which considerably impacts the image of our title and our Publisher’s reputation. For further details, please refer to our publishing ethics policies . If you have any questions, please contact us at contact@webofconferences.org See the retraction notice E3S Web of Conferences 505 , 00001 (2024), https://doi.org/10.1051/e3sconf/202450500001

Nowadays, educational institutions particularly colleges, engaged with students and staff, frequently confront various security challenges in their day-to-day activities. One prominent concern involves the threat of animal bites on the campus. In response to this issue, campus management has traditionally resorted to human patrols and physical barriers to deter animals. To address this multifaceted security challenge, the proposed method “An IoT-based Animal Detection System Using Interdisciplinary Approaches” introduces an innovative solution that leverages the power of IoT technology to enhance campus safety and security significantly. The system deploys a surveillance robot equipped with ultrasonic sensors and ESP32 cameras, employingthe machine learning technique R-CNN for Animal Detection. This proposed method uses an interdisciplinary approach to develop an animal detection system capable of identifying and classifying various species. This proposed method aims to revolutionize campus security by seamlessly integrating advanced technology, mitigating risks proactively, streamlining processes through automation, and presenting a cost-effective alternative to traditional security approaches. Beyond the traditional methods, the proposed system achieves an impressive accuracy rate of animal detection approximately 97.6% enabling real-time alerts through push notifications to security personnel upon detection.

This study focuses on enhancing surface protection through microwave-assisted metallic cladding of a Ni-ZrO2 mixture onto SS-304 substrates. Meticulous preparation steps ensured effective deposition: SS-304 underwent thorough cleaning, while the Ni-ZrO2 mixture was preheated to remove moisture. Maintaining uniform distribution was crucial for consistent coating thickness. Microwaves interacted differently with materials, necessitating consideration of material-specific skin depth to avoid direct particle-microwave interaction. Microwave hybrid heating (MHH) with charcoal as a susceptor overcame microwave reflection, facilitating rapid heating of the powder mixture. A pure graphite sheet prevented contamination during MHH. Subsequent irradiation in a multimode microwave applicator for 120 seconds ensured uniform and controlled heating, as illustrated in Figure 1. SEM analysis revealed the distribution and morphology of Ni and ZrO2 particles on the SS-304 surface, indicating effective deposition and adherence. A significant improvement in surface hardness (40.78%) post-cladding was observed. Furthermore, the wear rate and coefficient of friction of the cladded surface were determined to be 0.00124 mm3/m and 0.243, respectively. These findings highlight the promising tribological performance of the Ni-ZrO2 cladded surface, underscoring its potential for applications requiring enhanced surface protection and improved mechanical properties.

The notion of “closing the loop” has become a fundamental principle in contemporary society, particularly within the context of sustainable and circular systems. This abstract examines the notable progress achieved in the field of materials science, energy management, and waste reduction methods, all of which play a crucial role in the attainment of a more environmentally conscious and resource-efficient future. The field of materials science has experienced significant advancements, characterised by a notable transition towards the utilisation of sustainable and recyclable materials. The manufacturing and consuming sectors are undergoing significant transformations due to the emergence of many innovations, including biodegradable plastics, smart materials, and the study of innovative composites. These advancements are playing a crucial role in redefining the current landscape of these industries. By incorporating principles of durability, reusability, and recyclability into the design of materials, we are effectively mitigating our dependence on finite resources and mitigating the environmental impact of products. Alongside advancements in materials, the field of energy management has emerged as a prominent focus. The incorporation of renewable energy sources, energy-efficient technologies, and grid optimisation is revolutionising the methods by which energy is produced, distributed, and consumed. These technological advancements not only serve to mitigate the emission of greenhouse gases but also facilitate the achievement of energy self-sufficiency and enhance the ability to withstand and adapt to climate-related adversities. As we explore these notable developments, we uncover the interconnections among materials, energy, and waste management. The convergence of these fields illustrates that a comprehensive approach to sustainability is not just attainable but necessary. Through the integration of these advancements, there is not only a mitigation of environmental consequences but also a promotion of economic growth, the creation of employment opportunities, and the enhancement of societal well-being.

This study provides an extensive overview of the latest developments in metal surface engineering, including methodologies, characterizations, and applications. The study highlights how important surface engineering is for improving metallic materials’ functionality and performance across a range of sectors. Therefore, a series of techniques are presented in this paper for evaluating design surfaces’ mechanical properties, topological properties, and microstructure. This paper presents a review of current advances in the field, focusing on functionalized surfaces for energy applications, nanostructured coatings for corrosion protection, and biomedical applications of modified surfaces. Since lasers and electron beams are mechanically and tribologically superior, there is a long discussion about their environmental footprint. A special focus in the study is on surface functionalization, nanostructured coatings, corrosion protection, and biological applications, as well as recent developments in the field. The paper also discusses the impact they have on the environment. Surface engineering approaches have long been known to enhance corrosion protection, wear resistance, and component functionality in aerospace, automotive, electronics, and healthcare sectors. Thus, the paper’s conclusion emphasizes that more research and development are needed to overcome constraints and take advantage of emerging trends in surface engineering in order to overcome constraints and take advantage of new trends. The paper provides a solid foundation for future research and development in a range of industries affected by surface engineering.

A high traffic congestion in metropolitan cities of India is still a problem which affects the capacity of road. The traffic congestion decreases the speed of vehicle and accumulates the vehicles on road. The gradual expansion of urbanization and the rise of megacities, with their massive populations, present considerable obstacles for developing nations. As the world's populace continues to grow, there is a continuous influx of individuals relocating to urban areas. The developing country such as India facing a problem traffic congestion and its affect the infrastructure of road. Thus, in that case Level of Service (LOS) will be beneficial for increasing the capacity of road. Therefore, this study aims to analyse the LOS estimation in peak and non-peak hours. Estimation of LOS in peak and non-peak hours in urban areas will be beneficial for Indian government to take necessary action. Results revealed that During both peak and non-peak hours, the PCU readings for different types of vehicles are calculated. The velocity of vehicles has a notable influence on the capacity of roadways, even when traffic numbers are modest. Increasing the width of the road leads to a corresponding increase in the Passenger Car Unit (PCU) of a certain vehicle. Due to the increased flexibility offered by a broader thoroughfare, it is more advantageous to traverse by vehicle.