基于IP的位置识别利用了用户的网络信息，包括子网、网络掩码和路由器的mac地址。

IP-based location awareness USES the user's network information, including subnet, net mask, and the Mac address of the router.

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本文提出了朝向子网概念，并利用朝向子网模拟视皮层朝向柱，从而获得边缘检测的朝向和位置分辨。

The concept of orientation subnets is introduced. The orientation subnets simulate orientation columns to gain accuracy of localization and orientation of edges.

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模型中采用了基于空间域分解的并行方法，该方法可以将不同地理位置的交通子网分配到集群中的每台结点机进行仿真运算。

The parallelization method is a space domain decomposition, which means that each workstation of the cluster is responsible for a different geographical area of the simulated region.

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