Visible to the public Biblio

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2022-09-09
Sangeetha, A. S., Shunmugan, S., Murugan, G..  2020.  Blockchain for IoT Enabled Supply Chain Management - A Systematic Review. 2020 Fourth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC). :48—52.
Blockchain will increase supply chains' productivity and accountability, and have a positive effect on anything from warehousing to distribution to payment. To bridge the supply chain visibility gap, blockchain is being deployed because of its security features like immutability, tamper-resistant and hash proof. Blockchain integration with IoT increases the traceability and verifiability of the supply chain management and drastically eradicates the fraudulent activities including bribery, money laundering, forged checks, sanction violations, misrepresentation of goods and services. Blockchain can help to cross-check the verification, identification and authenticity of IoT devices to reduce the frequency and ramifications of fraud in supply chain management. The epidemic outbreak of SARS-CoV-2 has disrupted many global supply chains. The Geneva-based World Economic Forum declared that SARS-CoV-2 exposed supply chain failures can be tackled by blockchain technology. This paper explores the modern methodologies of supply chain management with integration of blockchain and IoT.
2021-11-29
Baker, Oras, Thien, Chuong Nguyen.  2020.  A New Approach to Use Big Data Tools to Substitute Unstructured Data Warehouse. 2020 IEEE Conference on Big Data and Analytics (ICBDA). :26–31.
Data warehouse and big data have become the trend to help organise data effectively. Business data are originating in various kinds of sources with different forms from conventional structured data to unstructured data, it is the input for producing useful information essential for business sustainability. This research will navigate through the complicated designs of the common big data and data warehousing technologies to propose an effective approach to use these technologies for designing and building an unstructured textual data warehouse, a crucial and essential tool for most enterprises nowadays for decision making and gaining business competitive advantages. In this research, we utilised the IBM BigInsights Text Analytics, PostgreSQL, and Pentaho tools, an unstructured data warehouse is implemented and worked excellently with the unstructured text from Amazon review datasets, the new proposed approach creates a practical solution for building an unstructured data warehouse.