Blockchain Technology and Applications II


Jan Veuger, PhD (Editor)
Professor Blockchain, Saxion University of Applied Sciences The Netherlands
Schools of Finance & Accounting, Creative Technology and School of Governance, Law and Urban Development

Series: Computer Science, Technology and Applications
BISAC: COM014000

The inevitable convergence of the Blockchain, AI and IoT (Veuger 2019) will be an impactful combination of security, interconnectivity and autonomy to revolutionize the way processes run. A combination of Blockchain, AI and IoT technologies that affect the potential of how businesses, industries and even economies operate will redefine them more than they do now. Some applications and concepts have already seen an overlap between these technologies with promising results. One example is the combination of AI and Blockchain to manage Unmanned Aerial/Air/Airborne Vehicle traffic, making mass autonomous flying safer. This application alone will redefine the business of aviation and logistics.
The convergence of Blockchain, Ai and IoT can enable organizations to maximize the benefits of each of these technologies while minimizing the risks and constraints associated with them. Since IoT networks include a large number of connected devices, there are numerous vulnerabilities in the network that make the network vulnerable to hacker attacks, fraud, and theft. To prevent security problems, AI powered by machine learning can proactively defend against malware and hacker attacks. Network and data security can be further enhanced through a blockchain that can minimize illegal access to and alteration of data on the network. AI can also improve the functional capacity of the IoT network by making it more autonomous and smarter.
For example, a proven convergence of Blockchain, AI and IoT is Fujitsu’s algorithm to measure employee heat stress levels. The algorithm continuously monitors workers’ physiological data (temperature, humidity, activity levels, pulse rate, etc.) using portable In Vitro Diagnostic Devices (IDA) and sensors to track the correlation between various factors and workers’ health. The analysis can help the organization to improve working conditions and prevent health problems of workers. Applying Blockchain to this system can help maintain more personalized data by ensuring privacy or help pay health insurance amounts through smart contracts.

The expected impact of the convergence of Blockchain, AI and IoT is not (yet) foreseeable and existing applications are not (yet) perfect. Many organizations, and especially early adopters, are high opinionated about the value of cognitive technologies and therefore invest in them. Findings of applications are now (still) at an early stage and are not yet as advanced as is necessary to achieve real transformation, as well as that business models also determine this. The same can be said of the IoT and Blockchain. With increased interest, investment and innovation, the convergence of Blockchain, AI and IoT will become a reality. (Imprint: Nova)


Table of Contents

Table of Contents


Chapter 1. Blockchain Convergence
(Jan Veuger, PhD, School of Finance and Accounting, Saxion University of Applied Sciences, Enschede, Netherlands, and others)

Chapter 2. A Proposed Conceptual Framework for Blockchain Systems
(Kees Tesselhof, Rob Kusters, PhD, Guy Janssens, PhD and Jan Veuger, PhD, Saxion University of Applied Sciences, Deventer, Netherlands)

Chapter 3. A Blockchain Business Model for Decentralized Networks
(Christa Barkel and Jan Veuger, PhD, Saxion University of Applied Sciences, Deventer, Netherlands)

Chapter 4. Serey: A Case Study on the Alignment of Applied Philosophy and Blockchain Applications
(Chhay Lin Lim, School of Finance and Accounting of Saxion University of Applied Sciences, Deventer, Netherlands)

Chapter 5. Legal Analysis of Blockchain Applications
(Lesley C. P. Broos and Nelleke Jans, Lawyer, KienhuisHoving Advocaten en Notarissen, Enschede, Netherlands, and others)

Chapter 6. The Impact of Blockchain on the Auditor’s Audit Approach
(Eric Mantelaers and Martijn Zoet, PhD, Zuyd University of Applied Sciences, Sittard, Netherlands)

Chapter 7. The Next Frontier of Smart City: Blockchain-Based Smart Real Estate
(Jun Wu, PhD, Chief Data Analyst, Annexum B. V., Amsterdam, Netherlands)

Chapter 8. Blockchain Governance as Coordination Mechanism
(Martijn Bolt, Business Finance and Marketing, The Hague University of Applied Science, The Hague, Zuid-Holland)

Chapter 9. Smart Transfer of Real Estate, Tokenization, Smart Contracts and Blockchain
(Alexander Appelmans, PhD, and Benjamin Verheye, Institute for Property Law, KU Leuven Kulak, Kortrijk, Belgium)


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