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Technological innovation is vital for the survival and development of enterprises. In the era of intelligent information interconnection and knowledge-driven economy, there is a growing interest in how to manage high-volume data, unlock its potential value, and provide intelligent analysis and decision-making support for enterprise’s technological innovation. This paper proposes an improved knowledge association analysis method based on the semantic concept model. This approach enables the discovery of potential correlations and interaction modes between the influencing factors of enterprise’s technological innovation, and provides a useful reference for decision-making by combining the analysis with the enterprise’s own situation.

Recently, Numerous dynamic key management schemes have been proposed for WSN, and it has long-lived networks, more sustained security and survivability, such as SHELL and LCOK. But most of these schemes are greatly depend on some central nodes (gateways), if these nodes were compromised, there will be great threat to the whole networks security and survivability. In this paper, we proposed a Location-aware and secret share based dynamic key management scheme to effectively replace the compromised central node and enhance the security level of the network. Index Terms-WSN; Rekeying; exclusion basis system (EBS); secret share; key storage node