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Fatjon Seraj

Publications and source records attributed to Fatjon Seraj.

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Smart Transport Infrastructure Maintenance: A Smart-Contract Blockchain Approach

Infrastructure maintenance is inherently complex, especially for widely dispersed transport systems like roads and railroads. Maintaining this infrastructure involves multiple partners working together to ensure safe, efficient upkeep that meets technical and safety standards, with timely materials and budget adherence. Traditionally, these requirements are managed on paper, with each contract step checked manually. Smart contracts, based on blockchain distributed ledger technology, offer a new approach. Distributed ledgers facilitate secure, transparent transactions, enabling decentralized agreements where contract terms automatically execute when conditions are met. Beyond financial transactions, blockchains can track complex agreements, recording each stage of contract fulfillment between multiple parties. A smart contract is a set of coded rules stored on the blockchain that automatically executes each term upon meeting specified conditions. In infrastructure maintenance, this enables end-to-end automation-from contractor assignment to maintenance completion. Using an immutable, decentralized record, contract terms and statuses are transparent to all parties, enhancing trust and efficiency. Creating smart contracts for infrastructure requires a comprehensive understanding of procedural workflows to foresee all requirements and liabilities. This workflow includes continuous infrastructure monitoring through a dynamic, data-driven maintenance model that triggers necessary actions. Modern process mining can develop a resilient Maintenance Process Model, helping Operations Management to define contract terms, including asset allocation, logistics, materials, and skill requirements. Automation and reliable data quality across the procedural chain are essential, supported by IoT sensors, big data analytics, predictive maintenance, intelligent logistics, and asset management.

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Towards predictive crowd based transport infrastructure monitoring system

To be able to measure relevant data for transport infrastructure monitoring and to obtain maintenance indicators in a crowd sensing-based fashion, a set of requirements (both from hardware and software points of view) needs to be satisfied. Heterogeneity of smartphones and various uncertainties associated with the mainstream \textit{off-the-shelf} hardware combined with the fact that inexperienced participants will take an active part in the data collection process necessitates that the system accounts for dynamicity, uncertainty, unreliability, and heterogeneity of the environment, participants, and technology. Modern Software Development Kits (SDK) and Application Programming Interfaces (API) provided by the mobile Operating Systems allow us to build applications for the smartphones ecosystem and to interact with components, services, and applications. They also provide specifications for hardware components and modules (e.g. sensors, location, and networking modules). Being a system implemented on a heterogeneous and dynamic smartphone platform, our crowd sensing-based transport infrastructure monitoring system satisfies a number of hardware and software requirements. Hence, we propose a detailed and rigorous methodology to research the requirements and describe the overall system architecture including its functionalities and services.

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