Blockchain Technology and Smart Contracts in Decentralized Governance Systems

Autor: Adam P. Balcerzak, Elvira Nica, Elżbieta Rogalska, Miloš Poliak, Tomáš Klieštik, Oana-Matilda Sabie

Publikováno v: Administrative Sciences, Vol 12, Iss 3, p 96 (2022)

The aim of our systematic review was to inspect the recently published literature on decentralized governance systems and integrate the insights it articulates on blockchain technology and smart contracts by employing Preferred Reporting Items for Sy

Externí odkaz: https://doaj.org/article/7023e80cf83646caa900547ca73b1ab7

Large scale stream analytics using a resource-constrained edge

Autor: Henri E. Bal, Gabriele Di Bernardo, Roshan Bharath Das

Publikováno v: Bharath Das, R, Di Bernardo, G & Bal, H 2018, Large scale stream analytics using a resource-constrained edge . in Proceedings-2018 IEEE International Conference on Edge Computing, EDGE 2018-Part of the 2018 IEEE World Congress on Services ., 8473389, Institute of Electrical and Electronics Engineers Inc., pp. 135-139, 2018 IEEE International Conference on Edge Computing, EDGE 2018, San Francisco, United States, 2/07/18 . https://doi.org/10.1109/EDGE.2018.00027
Proceedings-2018 IEEE International Conference on Edge Computing, EDGE 2018-Part of the 2018 IEEE World Congress on Services, 135-139
STARTPAGE=135;ENDPAGE=139;TITLE=Proceedings-2018 IEEE International Conference on Edge Computing, EDGE 2018-Part of the 2018 IEEE World Congress on Services
EDGE

A key challenge for smart city analytics is fast extraction, accumulation and processing of sensor data collected from a large number of IoT devices. Edge computing has enabled processing of simple analytics, such as aggregation, geographically close

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cd2c71f24d9d54f81c996969948bb4e9
https://research.vu.nl/en/publications/69c8ba30-14c3-4764-8f94-c1f10186bd66

Evaluating the resilience of the bottom-up method used to detect and benchmark the smartness of university campuses

Autor: Carlo Giovannella, Elvira Popescu, Mihai Dascalu, Óscar Mealha, Diana Andone, Matthias Rehm

Publikováno v: ISC2
Giovannella, C, Andone, D, Dascalu, M, Popescu, E, Rehm, M & Mealha, O 2016, Evaluating the Resilience of the Bottom-up Method used to Detect and Benchmark the Smartness of University Campuses . in Proceedings of the IEEE Second International Smart Cities Conference : Improving the citizens quality of life . IEEE Computer Society Press, IEEE International Smart Cities Conference (ISC2 2016), Trento, Italy, 12/09/2016 . https://doi.org/10.1109/ISC2.2016.7580792

A new method to perform a bottom-up extraction and benchmark of the perceived multilevel smartness of complex ecosystems has been recently described and applied to territories and learning ecosystems like university campuses and schools. In this pape

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c1e3a1380f66b27daf1e91c4f7767787
https://doi.org/10.1109/isc2.2016.7580792

Smart city analytics: state of the art and future perspectives

Autor: Giovannella, C., Mihai Dascalu, Scaccia, F.

Publikováno v: Scopus-Elsevier
Interaction Design and Architecture(s), Iss 20, Pp 72-87 (2014)

In accordance with a 'people centred' vision, this paper critically examines current approaches to smart cities benchmarking. In particular, by means of correlation analysis and Principal Component Analysis (PCA) we put in evidence present limitation

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::c29828b648c3bb5cd566031e7e79b6db
http://hdl.handle.net/2108/120410

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