Autonomous cyber-physical systems, CPS, in dynamic environments must work impeccably. The cyber-physical systems must handle tasks consistently and trustworthily, i.e., with a robust behavior. Robust systems, in general, require making valid and solid decisions using one or a combination of robust reasoning strategies, algorithms, and robustness analysis. However, in dynamic environments, data can ...

Over the last decade, power consumption and energy efficiency have arisen as important performance metrics for data center computing systems hosting cloud services. The incentives for reducing power consumption are several, and often span economic, technological, and environmental dimensions. Because of the vast number of computers currently employed in data centers, the economy of scale dictates ...

There are currently over 27 000 registered soccer teams in Norway. However, even with mandatory coaching licenses, there are still a vast variety of approaches to how training sessions should be planned and executed. Even in top-level professional soccer organizations, the planning of exercises involves a considerable amount of manual labor. The most common approaches include using old-fashioned pen ...

Real-world autonomous systems are often controlled using conventional model-based control methods. But if accurate models of a system are not available, these methods may be unsuitable. For many safety-critical systems, such as robotic systems, a model of the system and a control strategy may be learned using data. When applying learning to safety-critical systems, guaranteeing safety during learning ...

Elite football today is infused with technologies for collecting data on players' performance and health. Technologies such as wearable health and fitness trackers, full-body medical scans, and positional systems mounted around a stadium give coaches a wide range of accurate data about their players. However, coaches do not have the time or ability to analyze all this data for each player to give ...

The potential for knowledge discovery is currently underutilized on pharmacoepidemiologic data sets. A big dataset enables finding and assessing rare drug consumption patterns that are associated with adverse drug reactions causing hospitalization, or death. To enable such exploration of big pharmacoepidemiology data, four key issues need so be addressed. First, to ingest, transform, preprocess ...

Åpne API blir stadig mer utbredt som fører til at utviklere kan benytte mye tid i å lese dokumentasjon for å finne et passende alternativ. Tesen beskriver en design som kan benyttes for å danne et sett med hjelpemidler som har til hensikt å redusere unødvendige alternativ av API for brukeren. Dette gjøres via en web crawler som går gjennom API dokumentasjon samt en behandler av datamengdene som ...

File synchronization- and hosting services is not only an integrated service in everyday life, but also a powerful tool to support business and organizational activities. In order to provide users with a transparent experience, the systems relies on sophisticated mechanisms to create a seamless integration. The problem with these systems is that they are designed for stable network connections with ...

Collecting data via a questionnaire and analyzing them while preserving respondents' privacy may increase the number of respondents and the truthfulness of their responses. It may also reduce the systematic differences between respondents and non-respondents. In this paper, we propose a privacy- preserving method for collecting and analyzing survey responses using secure multi-party computation. The ...

To ensure privacy, users of the File Repository Transfer Protocol (Frtp) may require that communication partners are properly authenticated. If one partner wants the communication to be crypted, the other must honor the request. This report describes how authentication and privacy are realized. It is shown, by means of an authentication logic, that the protocol achives its goal in this respect.