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Full-Text Articles in Physical Sciences and Mathematics
A Qos Aware Framework For Wireless Sensor Networks In Industrial Environments, Berta Carballido Villaverde
A Qos Aware Framework For Wireless Sensor Networks In Industrial Environments, Berta Carballido Villaverde
Theses
Wireless Sensor Networks (WSNs) are a key enabling technology for industrial monitoring applications where the use of wireless infrastructure allows high adaptivity and low cost in terms of installation and retrofitting. Although WSNs present several advantages over traditional wired monitoring systems, there is significant concern as to the reliability of wireless communications due to the unpredictability of the wireless channel, which is inhibiting the widespread adoption of the technology. Furthermore, due to the diverse range of monitoring applications that are found in industrial environments and their differing requirements, there is a need for quality of service (QoS) provisioning so that …
Semi-Automatic Management Of Knowledge Bases Using Formal Ontologies, Andreas Textor
Semi-Automatic Management Of Knowledge Bases Using Formal Ontologies, Andreas Textor
Theses
This thesis presents an approach that deals with the ever-growing amount of data in knowledge bases, especially concerning knowledge interoperability and formal representation of domain knowledge. There arc multiple issues that must be addressed with current systems. A multitude of different formats, sources and tools exist in a domain, and it is desirable to develop their use further towards a standardised environment. Such an environment should support both the representation and processing of data from this domain, and the connection to other domains, where necessary. In order to manage large amounts of data, it should be possible to perform whatever …
A Machine-Learning Approach For Workflow Identification From Low-Level Monitoring Information, Thorsten Stein
A Machine-Learning Approach For Workflow Identification From Low-Level Monitoring Information, Thorsten Stein
Theses
Knowing which workflows are executed within Service Oriented Architectures (SOA) is essential for successful IT management. In many cases, SOAs grew out of previous existing IT architectures; existing components are used as single services and therefore as parts of newly created workflows. Since such workflows consist of newly developed and legacy services, traditional workflow management systems often cannot be applied. This thesis presents a method for gathering information about the executed workflows within such heterogeneous environments. An implementation of a framework is presented. This framework allows the training of machine-learning algorithms with workflow models and the mapping of low-level monitoring …