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2023-03-06
Gori, Monica, Volpe, Gualtiero, Cappagli, Giulia, Volta, Erica, Cuturi, Luigi F..  2021.  Embodied multisensory training for learning in primary school children. 2021 {IEEE} {International} {Conference} on {Development} and {Learning} ({ICDL}). :1–7.
Recent scientific results show that audio feedback associated with body movements can be fundamental during the development to learn new spatial concepts [1], [2]. Within the weDraw project [3], [4], we have investigated how this link can be useful to learn mathematical concepts. Here we present a study investigating how mathematical skills changes after multisensory training based on human-computer interaction (RobotAngle and BodyFraction activities). We show that embodied angle and fractions exploration associated with audio and visual feedback can be used in typical children to improve cognition of spatial mathematical concepts. We finally present the exploitation of our results: an online, optimized version of one of the tested activity to be used at school. The training result suggests that audio and visual feedback associated with body movements is informative for spatial learning and reinforces the idea that spatial representation development is based on sensory-motor interactions.
2020-10-26
Bai, Leqiang, Li, Guoku.  2018.  Location Privacy Protection of WSN Based on Network Partition and Angle. 2018 14th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD). :1254–1260.
For the phantom routing algorithm, phantom source nodes are concentrated near the real source node, and for the angle based phantom routing algorithm, phantom source nodes focus on some areas, and the existing source location privacy protection algorithm has low security cycle, a source location privacy protection algorithm of wireless sensor networks based on angle and network partition is proposed. The algorithm selects the next hop node on forwarding path according to the angle relationship between neighbors, and ensures that phantom source nodes are far away from the real source node and have the diversity of geographic location through network partition. Simulation results show that, compared with the existing source location privacy protection algorithm, this algorithm can induce attackers to deviate from the real path, and increase security cycle.