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Titlebook: Internet of Things, Smart Spaces, and Next Generation Networks and Systems; 16th International C Olga Galinina,Sergey Balandin,Yevgeni Kouc

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RCOS: Real Time Context Sharing Across a Fleet of Smart Mobile Devicesement and validate a Real Time Context Sharing (RCOS) system. RCOS takes advantage of the widely used publish/subscribe paradigm embedding context-awareness. We also propose a new context-aware subscription language enabling publishers to express data with sufficient contextual information and subsc
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Reasoning over Knowledge-Based Generation of Situations in Context Spaces to Reduce Food Wasteow for the reuse of predefined knowledge, but do not provide the best reasoning capabilities. To overcome this problem, a hybrid model for situation awareness is developed and presented in this paper, which integrates the Situation Theory Ontology into Context Space Theory for inference. Furthermore
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Storing and Indexing IoT Context for Smart City Applicationsware smart city applications are all significant research challenges for IoT-enabled smart cities. These middleware platforms have to cope with potentially big data generated from millions of devices in large cities. The amount of context, metadata, annotations in IoT ecosystems equals and may even
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A Source Prioritizing Scheme for Relay Cooperative Networkingomplexity. Our motivation emerges from a channel constrained context, like e.g., cognitive networks, where communication channel distribution, as well as relay assignment, play a pivotal role for the total network throughput and the overall performance. The proposed scheduling scheme attempts to max
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QoS Aware Admission and Power Control for Two-Tier Cognitive Femtocell Networksary users (PUs) is no higher than the defined thresholds. Moreover, several FBSs may require different quality of service (QoS) with different payments. This paper proposes a method to obtain from maximally achievable revenue from FBSs to the required QoS. It also proposes an efficient QoS aware adm
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udy.Features a rigorous statistical analysis of neural netwo.This book reviews some of the most recent developments in neural networks, with a focus on applications in actuarial sciences and finance. It simultaneously introduces the relevant tools for developing and analyzing neural networks, in a s
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