<i>Background</i> - Individuals with diabetes are using mobile health (mHealth) to track their self-management. However, individuals can understand even more about their diabetes by sharing these patient-gathered data (PGD) with health professionals. We conducted experience-based co-design (EBCD) workshops, with the aim of gathering end-users’ needs and expectations for a PGD-sharing system.<p> ...

This paper investigates and discusses the current and future role of machine learning (ML) within the hydropower sector. An overview of the main applications of ML in the field of hydropower operations is presented to show the most common topics that have been addressed in the scientific literature in the last years. The objective is to provide recommendations for novel research directions that can ...

This deliverable reports the results of the power models, energy models and librariesfor energy-efficient concurrent data structures and algorithms as available by projectmonth 30 of Work Package 2 (WP2). It reports i) the latest results of Task 2.2-2.4 onproviding programming abstractions and libraries for developing energy-efficient datastructures and algorithms and ii) the improved results of ...

Work package 2 (WP2) aims to develop libraries for energy-efficient inter-processcommunication and data sharing on the EXCESS platforms. The Deliverable D2.4reports on the final prototype of programming abstractions for energy-efficient inter-process communication. Section 1 is the updated overview of the prototype of pro-gramming abstraction and devised power/energy models. The Section 2-6 contain ...

Python is a dynamic language well suited to build a run-time providing adaptive support to distributed applications. Python has dynamic typing where variables are given a type when they are assigned a value. To introduce type safety, interfaces, and a component model in Python NOOP introduces a type language and a way to apply typing to functions (and methods). This type system is described in the ...

Recent advancements in human-robot interaction have led to tremendous improvement for humanoid robots but still lacks social acceptance among people. Though verbal communication is the primary means of human-robot interaction, non-verbal communication that is proven to be an integral part of the human interactions is not widely used in humanoid robots. This thesis aims to achieve human-robot interaction ...

This thesis aims to explore the problem of integrating heterogeneous data sources into the Smart Nudge system. The Smart Nudge system is a system that produces personalised nudges that are contextually relevant to each user. The system relies on access to live data that could be constructed and presented in specific ways to influence users behaviour towards an agreed-upon goal. The goal is to ascertain ...

<i>Background</i>: Type 1 diabetes is a chronic condition of blood glucose metabolic disorder caused by a lack of insulin secretion from pancreas cells. In people with type 1 diabetes, hyperglycemia often occurs upon infection incidences. Despite the fact that patients increasingly gather data about themselves, there are no solid findings that uncover the effect of infection incidences on key ...

<i>Background</i>: There is growing evidence that apps and digital interventions have a positive impact on diabetes self-management. Standard self-management for patients with diabetes could therefore be supplemented by apps and digital interventions to increase patients’ skills. Several initiatives, models, and frameworks suggest how health apps and digital interventions could be evaluated, but ...

Increases in data production and growing demands for more computing power leads to the current trend of outsourcing data and computation services to cloud providers. With data breaches and cases of data misuse becoming increasingly common, there is a high demand for secure systems. This, however, conflicts with the current data trust models. A solution to this that is becoming more common is the use ...