600 Technik, Medizin, angewandte Wissenschaften
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Smart city applications in the Big Data era require not only techniques dedicated to dynamicity handling, but also the ability to take into account contextual information, user preferences and requirements, and real-time events to provide optimal solutions and automatic configuration for the end user. In this paper, we present a specific functionality in the design and implementation of a declarative decision support component that exploits contextual information, user preferences and requirements to automatically provide optimal configurations of smart city applications. The key property of user-centricity of our approach is achieved by enabling users to declaratively specify constraints and preferences on the solutions provided by the smart city application through the Decision Support component, and automatically map these constraints and preferences to provide optimal responses targeting user needs. We showcase the effectiveness and flexibility of our solution in two real usecase scenarios: a multimodal travel planner and a mobile parking application. All the components and algorithms described in this paper have been defined and implemented as part of the Smart City Framework CityPulse.
The wide distribution of smart phones allows to inform and interact with citizens in real-time, thus enabling the vision of smart cities. However, the reliability of smart city applications highly depends on the availability of appropriate, accurate, and trustworthy data. To increase the reliability of smart city applications, the European project CityPulse employs knowledge-based methods for monitoring and testing at all stages of the data stream processing and interpretation pipeline. During design-time testing validates the behaviour of applications with regard to different levels of quality of information. During run-time monitoring assesses the reliability of data streams, the plausibility of information, and the correct evaluation of extracted events. The monitored quality is exploited by fault recovery and conflict resolution mechanisms to ensure fault-tolerant execution of applications.
Motorradfahrer/innen sind mechanischen Schwingungen ausgesetzt, die über Lenker, Fußrasten und Sitzbank übertragen werden. Mehr als drei Viertel der Motorradfahrer/innen berichtet in einer Umfrage über körperliche Symptome, die auf mechanische Schwingungen zurückgeführt werden können, aber über zwei Drittel der Fahrer/innen empfindet die Motorradvibrationen als nicht oder nur wenig störend. Messungen an verschiedensten in Deutschland und Europa üblichen Motorrädern zeigen im Hand-Arm- und Ganzkörperbereich Schwingungswerte, die zum Teil deutlich oberhalb des auf 8 h bezogenen Grenzwerts der Richtlinie 2002/44EG liegen. Vergleichsmessungen an einem Pkw führen bei gleichen Bedingungen zu erheblich geringeren Schwingungswerten. Motorräder im Dienstgebrauch bei Polizei und Johanniter Unfallhilfe können zu Tagesexpositionswerten oberhalb der Auslösewerte führen.