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| S.No | Particular | Page No. | |
|---|---|---|---|
| 1 |
Er. Pallvi Verma Er. Sourav GuptaAbstract: The Integration of Artificial Intelligence and Machine Learning with building information modeling presents transformative opportunities for advancing civil engineering design and construction. This work find out the synergistic application of AI and ML in BIM to resolve problems such as inefficiencies in design, construction errors, cost overruns, and delays.AI and ML algorithms increase BIM by automating complex tasks, optimizing resource allocation, and improving decision making accuracy, thus enabling more efficient and intelligent workflows throughout the project lifecycle. The primary areas of this work include automated design generation, predictive analysis for risk mitigation, real time construction monitoring, and sustainability assessments. The work highlights how AI powered tools can speculate structural behavior, stimulate construction processes, and offer real time solutions for unseen issues. Additionally, ML techniques such as deep learning and reinforcement learning are employed for pattern recognition and predictive modeling, enhancing precision in structural designs and material utilization. This research paper also addresses implementation challenges, such as the need for skilled personnel, high initial costs, and data privacy concerns. |
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1-6 |
| 2 |
Dr.Kumud GuptaAbstract: The integration of cloud computing has revolutionized the way organizations manage data, providing scalability and efficiency. However, the inherent privacy risks associated with data storage and processing in the cloud have raised significant concerns. This paper explores the application of blockchain technology as a solution for granular privacy preservation in cloud computing environments. We propose a framework that leverages the decentralized characteristics of blockchain to enhance data privacy and integrity. The increasing reliance on cloud services has raised significant concerns about trust and privacy in multi-cloud environments. To address these concerns, a comprehensive blockchain-based framework for trust management and privacy preservation has been proposed. This framework leverages key features of blockchain technology, such as decentralization, immutability, and smart contracts, to establish a secure and transparent ecosystem for cloud-based services. The blockchain-based ledger provides a decentralized and auditable record of all cloud-based transactions and data access activities, enhancing transparency and accountability among cloud providers and users. Smart contracts are utilized to enforce access control policies and data sharing agreements, automatically managing data ownership, access rights, and data processing activities. This ensures compliance with data protection regulations and preserves the privacy of user data. Advanced privacy-preserving techniques, including encryption and anonymization, are incorporated to safeguard user data stored in the multi-cloud environment. |
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