The radio wave propagation model in granary can provide technical support for the design and application of wireless grain situation monitoring and foreign-body detection in granary. The propagation of radio waves in granary with wheat is studied in this paper. Firstly, transmitting and receiving antennas are fixed in grain bulk. Then the parameters of multipath delay and received power at receiver are calculated by using ray-tracing algorithm, and the wave propagation model is established. The results show that only the direct and one-reflection paths of larger amplitude are considered in the wheat grain bulk. Finally, the path losses of simulation at different distances are compared with the theoretical value of the literature, the accuracy of the simulation results is verified and the effect of reflection is reflected.

Knowledge graph embedding (KGE) models have been proposed to improve the performance of knowledge graph reasoning. However, there is a general phenomenon in most of KGEs, as the training progresses, the symmetric relations tend to zero vector, if the symmetric triples ratio is high enough in the dataset. This phenomenon causes subsequent tasks, e.g. link prediction etc., of symmetric relations to fail. The root cause of the problem is that KGEs do not utilize the semantic information of symmetric relations. We propose KGE bi-vector models, which represent the symmetric relations as vector pair, significantly increasing the processing capability of the symmetry relations. We generate the benchmark datasets based on FB15k and WN18 by completing the symmetric relation triples to verify models. The experiment results of our models clearly affirm the effectiveness and superiority of our models against baseline.2. The symmetric semantic information of relations is combined with KGE, which is a new research method of knowledge graph reasoning.3. We run the model on the extended benchmark datasets and verify the effectiveness and advantages of the models.

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