Earth observation data has increased significantly over the last decades with satellites collecting and transmitting to Earth receiving stations in excess of three terabytes of data a day. This data acquisition rate is a major challenge to the existing data exploitation and dissemination approaches. The lack of content and semantics based interactive information searching and retrieval capabilities from the image archives is an impediment to the use of the data. The proposed framework (Intelligent Interactive Image Knowledge retrieval-I3KR) is built around a concept-based model using domain dependant ontologies. An unsupervised segmentation algorithm is employed to extract homogeneous regions and calculate primitive descriptors for each region. An unsupervised classification by means of a Kernel Principal Components Analysis (KPCA) method is then performed, which extracts components of features that are nonlinearly related to the input variables, followed by a Support Vector Machine (SVM) classification to generate models for the object classes. The assignment of the concepts in the ontology to the objects is achieved by a Description Logics (DL) based inference mechanism. This research also proposes new methodologies for domain-specific rapid image information mining (RIIM) modules for disaster response activities. In addition, several organizations/individuals are involved in the analysis of Earth observation data. Often the results of this analysis are presented as derivative products in various classification systems (e.g. land use/land cover, soils, hydrology, wetlands, etc.). The generated thematic data sets are highly heterogeneous in syntax, structure and semantics. The second framework developed as a part of this research (Semantics-Enabled Thematic data Integration (SETI)) focuses on identifying and resolving semantic conflicts such as confounding conflicts, scaling and units conflicts, and naming conflicts between data in different classification schemes. The shared ontology approach presented in this work facilitates the reclassification of information items from one information source into the application ontology of another source. Reasoning on the system is performed through a DL reasoner that allows classification of data from one context to another by equality and subsumption. This enables the proposed system to provide enhanced knowledge discovery, query processing, and searching in way that is not possible with key word based searches.

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I distribuerade system, kommunicerar komponenter genom att skicka meddelanden till varan- dra och mellanprogramvara överlappar integrationen mellan olika applikationer. Syftet var att undersöka och analysera olika designmönster till en mellanprogramvara som hanterar kommunikationen i en en-till-många relation och som kan användas i en XFS baserad programvara samt identifiera eventuella problem som uppkom under utvecklingsprocessen.Reverse engineering användes för att rekonstruera vår uppdragsgivares XFS baserade mjukvara. Ingång- och utgångspunkter lokaliserades och visualiserades med hjälp av UML-diagram. Med hjälp av vår uppdragsgivares krav och rekonstruktion av deras mjukvara, de designmönster som valdes var Broker och Reactor. Dessa valdes för att frikoppla en-till-en relationen mot vår uppdragsgivares hårdvara. Arkitekturen i vår prototyp av mellanprogramvaran baserades på klient-server och prototypen använder en en-till-många interprocesskommunikation för att skicka JSON-meddelande över en pipe anslutning.Prototypen utvärderades med hjälp av testfall och utfallet av testen var till belåtenhet. Slutversionen av vår prototyp klarade av att hantera kommunikation mellan flera klienter till vår uppdragsgivares hårdvara genom en server. Callbacks hanterades och presenterades i alla klienter.Valen som gjordes under utvecklingen identifierade problem som är värdefulla för andra utvecklare. Två huvudproblem uppstod för att det är väldigt hög komplexitet i välutvecklade system samt att logiken bakom XFS standarden är öppen för fri tolkning. Vår lösning är bra vid en utvecklingsuppstart men det fastställs att asynkrona mönster är en möjlig optimering av mjukvarusystemet. / In distributed systems, components communicate by passing messages between each other and a middleware bridges gaps between the interaction of different applications. The aim was to investigate and analyse middleware designs that handle a one-to-many communication usable in XFS based software and identify possible problems during the development process.Reverse engineering was used to reconstruct our stakeholders XFS based software. Entry and exit points were localised and visualised with UML diagrams from the reconstruction. By focusing on the stakeholders requirements and the reconstruction, the design pattern Broker and Reactor were used to decouple a one-to-one relationship towards the stakeholders hardware. The architecture of the middleware prototype was based on a client-server architecture and the prototype utilises a one-to-many inter-process communication that sends JSON messages over a pipe connection.The prototype was evaluated using written test cases and the test cases presented satisfactory results. The final version of the prototype was able to handle several clients communicating with the stakeholders hardware through the server and all clients displayed callbacks.Choices made during the iterative development identified problems that are valuable to other developers. The two main problems were high complexity in a legacy software system and that all logic in the XFS standard is open to interpretation. Our solution is successful as a start-up approach but asynchronous patterns are determined as a possible optimisation for the software system.

In recent years, an increasing number of devices have been developed for operation in the bands allocated by the Federal Communications Commission (FCC) for license-free operation. Given the rules governing devices in these bands, it is possible for interference created by these devices to significantly reduce the overall capacity of these bands. Two such protocols are Bluetooth and IEEE 802.11b. Several methods have been presented in the literature for managing interference between these two devices. However, these approaches are generally not practical, since they either require the purchase of specialized hardware or do not comply with the current versions of existing protocols. In this dissertation, an approach is presented that is not only backwards-compatible, but requires the algorithm to be implemented in only a small subset of the devices operating in the local environment for the coexistence algorithm to function properly. An analytical solution for this coexistence approach when applied to generic networks is presented. A method is also presented for the backwards-compatible integration of some medium access control (MAC) protocols into Bluetooth devices. A case study of the Bluetooth/IEEE 802.11b coexistence problem is presented in this dissertation, as well as a proposed coexistence mechanism, collision-based multiple access (CBMA). A form of adaptive frequency hopping (AFH) is presented in this dissertation, as well as a combined CBMA/AFH strategy. The CBMA algorithm is shown be able to significantly reduce the impact of a Bluetooth link on an IEEE 802.11b link. The AFH algorithm is shown to have comparable performance to the CBMA algorithm. A combined CBMA/AFH algorithm presented, is shown to not only have an impact on the IEEE 802.11b link that is not greater than the CBMA-only implementation, but the Bluetooth link throughput is shown to be significantly greater than either the CBMA or AFH implementation alone. / Ph. D.