A Proactive Approach for Information Sharing Strategies in an Environment of Multiple Connected Ubiquitous Devices

The current trend in Ubiquitous Computing is to develop smaller, smarter and adaptive devices that are continuously connected to the Internet through wireless technologies. This offers a great opportunity for cooperation between these devices. Although much related work has been performed on collaboration techniques between smart devices, most of the work is not suited for large-scale networks, where their number can increase significantly. Following this context, we investigate how information is exchanged and handled in a distributed way in a Collaborative Ubiquitous Environment. To be perceived as collaborative and proactive, each single component has to coordinate with the others in smart way. In order to achieve these key features, we introduce the concept of Global Proactive Scenarios (GPASs). To support the deployment of these scenarios, we propose a specially designed intelligent architecture for ubiquitous systems that allows them to be context-aware, proactive and self-adaptive. Furthermore, we provide an example of joint effort for illustrating the full potential of a network of interconnected proactive systems

Smart cities: event everywhere

The research attempts to provide a big picture from the literature through a Systematic Literature Review about the smart city and the existing standards topics for interchanging data through Smart City Apps. Additionally a prototype was created to analyze one of the standards found in the SL

Smart cities: event everywhere

The research attempts to provide a big picture from the literature through a Systematic Literature Review about the smart city and the existing standards topics for interchanging data through Smart City Apps. Additionally a prototype was created to analyze one of the standards found in the SL

Διαχείριση συσκευών στο IoT μέσω Cloud και εφαρμογή με χρήση Arduino

Διπλωματική εργασία--Πανεπιστήμιο Μακεδονίας, Θεσσαλονίκη, 2019.Το θέμα της παρούσας εργασίας είναι η «Διαχείριση Συσκευών στο IoT μέσω Cloud και εφαρμογή με χρήση Arduino», όπου ο σκοπός της είναι να κατανοηθεί πως μπορούν να συνδεθούν τα πράγματα του IoT σε ένα νέφος, ώστε να επιτευχθεί η αλληλεπίδραση των πραγμάτων με τον χρήστη, αλλά και η αυτοματοποιημένη χρήση τους

Digital transformation in the manufacturing industry : business models and smart service systems

The digital transformation enables innovative business models and smart services, i.e. individual services that are based on data analyses in real-time as well as information and communications technology. Smart services are not only a theoretical construct but are also highly relevant in practice. Nine research questions are answered, all related to aspects of smart services and corresponding business models. The dissertation proceeds from a general overview, over the topic of installed base management as precondition for many smart services in the manufacturing industry, towards exemplary applications in form of predictive maintenance activities. A comprehensive overview is provided about smart service research and research gaps are presented that are not yet closed. It is shown how a business model can be developed in practice. A closer look is taken on installed base management. Installed base data combined with condition monitoring data leads to digital twins, i.e. dynamic models of machines including all components, their current conditions, applications and interaction with the environment. Design principles for an information architecture for installed base management and its application within a use case in the manufacturing industry indicate how digital twins can be structured. In this context, predictive maintenance services are taken for the purpose of concretization. It is looked at state oriented maintenance planning and optimized spare parts inventory as exemplary approaches for smart services that contribute to high machine availability. Taxonomy of predictive maintenance business models shows their diversity. It is viewed on the named topics both from theoretical and practical viewpoints, focusing on the manufacturing industry. Established research methods are used to ensure academic rigor. Practical problems are considered to guarantee practical relevance. A research project as background and the resulting collaboration with different experts from several companies also contribute to that. The dissertation provides a comprehensive overview of smart service topics and innovative business models for the manufacturing industry, enabled by the digital transformation. It contributes to a better understanding of smart services in theory and practice and emphasizes the importance of innovative business models in the manufacturing industry