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We propose a novel framework that combines probabilistic transmission with Latin squares characteristics to tune channel access, meeting various demands in network performance (Energy vs. Delay). The proposed technique is decentralized, scalable, and has low overhead. We develop an analytical model to estimate the network performance and validate the benefits of the proposed framework via simulation-based...
This paper presents a new approach of organizing the course lectures (as spoken documents) for efficient learning on demand by the users. By the properly matching the course lectures with the slides used, we divide the course lectures into hierarchical ldquomajor segmentsrdquo with variable length based on the topics discussed. Key term extraction, hierarchical summarization and semantic structuring...
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