DOI: 10.3897/jucs.164654

Authors: Wolfram Luther, A. J. Han Vinck

Abstract: This volume presents a conference paper selection from the 4th Workshop on Collaborative Technologies and Data Science in Smart City Applications (CODASSCA 2024): Data Science and Reliable Machine Learning, held in Yerevan, Armenia, October 3-6, 2024, https://codassca2024.aua.am/. The special issues guest editors invited five groups of authors from Armenia, Chile, Germany, the UK, and the USA to submit enlarged versions of their CODASSCA 2024 papers There was also a J.UCS open call so that any author could submit papers on the highlighted subjects. The invitation to review the 16 contributions received was accepted by 16 experts, and, after three rounds, seven articles were finally accepted for publication in the special issue.

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DOI: 10.3897/jucs.77247

Authors: Christopher Cichiwskyj, Gregor Schiele

Abstract: When the complexity of a problem rises, its solution requires more hardware resources. A usual way to solve this is to use larger processors and add more memory. When using Field Programmable Gate-Arrays (FPGAs), which can instantiate arbitrary circuit designs, a larger, more costly and power hungry chip is used. In this paper we propose a different approach, namely to split the problem into a graph of interdependent smaller tasks and to reconfigure a small FPGA during runtime to execute each of these tasks efficiently sequentially. This can result in cheaper and more energy efficient systems that can execute very complex problems locally. We present a basic analytical model, evaluate its accuracy and discuss initial insight from it.

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DOI: 10.3217/jucs-012-01-0006

Authors: Jean Roberts

Abstract: Much development work is ongoing addressing technologies and their application in the health domain, in order to achieve solutions that are non-invasive to every day life and work. As with many previous phases of informatics to support health, currently the developments are in islands and there is considerable untapped potential for synergy. Much research development is happening in other domains and show potential for health reversioning and deployment once proven. This paper explores some of the technological, societal and domain-specific issues surrounding this emerging concept of pervasiveness. It concludes that pervasive support to care is emerging but further work on minimizing risk and marketing the concept to professionals and laypeople is necessary to ensure an effective deployment.

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