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    Blockchain-Powered Secure Data Sharing in AI- Driven Smart Cities
    (2026-06-09) Kiruthiga. R; Anurag Shrivastava; Anantha Krishna Rambhatla
    Abstract— With the rapid evolution of artificial intelligence (AI) in smart cities, secure and efficient data-sharing mechanisms to encode privacy, integrity, and accessibility are required. As a natural result of a centralized data-sharing framework, they remain vulnerable to security issues, unauthorized access, and most importantly, single-point-of- failure. Data confidentiality does not concern the layer blockchain technology; it offers better trust and security among stakeholders due to its decentralized and tamper-proof data manager. The outline of how block chain can resolve AI-based smart city data coming from diverse citizen-based sensors is discussed; consensus mechanisms, urgent access, multi- signature encryption is explored. Blockchain improves data transparency, reduces fraud, and ensures compliance with data privacy regulations by leveraging smart contracts and distributed ledger technology. In addition, the study addresses challenges related to the scalability which is a computational overhead issue and regulatory constraints that blockchain can face, and some solutions that could help the adoption of multiple stakeholders in urban infrastructures such as blockchain. The results show how a secure sharing of information via blockchain can drastically improve smart cities powered by AI ensuring their resiliency and efficiency toward sustainable intelligenurban environments.
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    Gathakalada Ithihasa Saaruva Kundana Betta
    (2026-06-09) Srirama M
    ಕ ುಂದಾಣ ಬೆಟ್ಟವು ಬೆುಂಗಳೂರಗ್ ಾಾಮಾುಂತರ ಜಿಲ್ೆೆ , ದೆೇವನಹಳ್ಳಿ ತಾಲ್ಲೆಕಿನಲ್ಲೆದೆ . ಇದೆಲುಂದ ಏಕಶಿಲ್ಾ ಬೆಟ್ಟವಾಗಿದ ು ನೆಲೇಡ ವುದಕ್ೆೆ ಒುಂದ ರೇತಿಯಲ್ಲೆ ಅಳ್ಳಲ್ಲನ ಆಕ್ಾರದಲ್ಲೆದೆ .
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    Investigate the tensile strength and wear characteristics of industrial waste cenosphere reinforced with Al7075 alloy using the taguchi method
    (2026-05-26) Ravi Kumar D V; Anilkumar T.; Prakash Rao, C R; Ravi Kumar, D V; Praveen Kumar M V; Shivaramakrishna A; B J Amith; K A Jayasheel Kumar; M A Karthik; Nanditha S Matad; Aymen Adem
    Abstract Metal matrix composites (MMCs) find wide application owing to their superior physical and mechanical properties compared with monolithic metals. Aluminium and cenosphere are combined to produce a lightweight, strong component. The liquid metallurgical technique was used to produce five compositions of Al7075 grade aluminium- cenosphere composites. The study investigates the tribological and mechanical properties of an aluminium matrix composite reinforced with cenosphere. The SEM microphotographs show that the matrix material has filled the shattered spherical portion, thereby improving the composite’s interfacial strength. The main aim of this study is to determine how cenosphere concentration affects the mechanical, microstructural, and wear characteristics of an aluminium matrix composite reinforced with cenosphere. Tensile and sliding wear test specimens are typically prepared in accordance with ASTM E8 and ASTM G99, respectively. The experiments demonstrated that adding cenosphere to grade 7075 aluminium alloy improved the composite’s density, hardness, tensile strength, and wear resistance. The experimental results showed that the specimen diameter contributed 53.11%, the heat treatment duration contributed 26.17%, the type of specimen contributed 5.31%, and the percentage of cenosphere contributed 4.29%. In a similar vein, during the wear test, the specimen diameter contributed 69.94%, the heat treatment duration contributed 16.54%, the type of specimen contributed 5.31%, and the percentage of cenosphere contributed 4.29%. After a thorough investigation, A2B2C2D2 and A1B3C3D2, respectively, have been shown to be the most promising combinations for the tensile test and the wear test.
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