公开(公告)号：US09161297B2

公开(公告)日：2015-10-13

申请号：US13560611

申请日：2012-07-27

申请人： Jeong-Woo Lee ,  Shin-Kyung Lee ,  Doo-Seop Yun ,  Oh-Cheon Kwon

发明人： Jeong-Woo Lee ,  Shin-Kyung Lee ,  Doo-Seop Yun ,  Oh-Cheon Kwon

IPC分类号： H04B7/00 ,  H04W48/18 ,  H04W8/18

CPC分类号： H04W48/18 ,  H04W8/18

摘要： Disclosed herein is an apparatus and method for selecting a communication network. The apparatus for selecting a communication network includes an information management unit for generating context-aware profile information based on communication situations of an area in which a vehicle is located and information which is set by a driver, and a communication network selection unit for selecting an optimal communication network in the area in which the vehicle is located, based on the context-aware profile information.

摘要翻译： 这里公开了一种用于选择通信网络的装置和方法。 用于选择通信网络的装置包括：信息管理单元，用于基于车辆所在区域的通信情况和由驾驶员设置的信息来生成上下文感知简档信息;以及通信网络选择单元，用于选择 基于上下文感知简档信息，在车辆所在区域中的最佳通信网络。

公开(公告)号：US20120245791A1

公开(公告)日：2012-09-27

申请号：US13284780

申请日：2011-10-28

申请人： Un-Il Yun ,  Shin-Kyung Lee ,  Hyeon-Il Shin ,  Gwang-Bum Pyun ,  Jeong-Woo Lee ,  Oh-Cheon Kwon ,  Hyun-Seo Oh ,  Heung-Mo Ryang

发明人： Un-Il Yun ,  Shin-Kyung Lee ,  Hyeon-Il Shin ,  Gwang-Bum Pyun ,  Jeong-Woo Lee ,  Oh-Cheon Kwon ,  Hyun-Seo Oh ,  Heung-Mo Ryang

IPC分类号： G06F7/00

CPC分类号： B60W50/0205 ,  F02D41/1405

摘要： The apparatus includes a data normalization unit, a neural network problem prediction unit, and a transition change prediction unit. The data normalization unit creates normalization transformation values by performing normalization transformation based on threshold value ranges for a plurality of pieces of vehicle network data. The neural network problem prediction unit creates a neural network problem prediction value by predicting a mixed problem with the vehicle using a multi-artificial neural network model, created based on a learning data set related to mixed problems having previously occurred in the vehicle and the normalization transformation values. The transition change prediction unit predicts a change in transition for the mixed problem according to a change in the neural network problem prediction value, by analyzing the neural network problem prediction value and previous neural network problem prediction values previously created in the vehicle.

摘要翻译： 该装置包括数据归一化单元，神经网络问题预测单元和过渡变化预测单元。 数据归一化单元通过基于多个车辆网络数据的阈值范围执行归一化变换来生成归一化变换值。 神经网络问题预测单元通过使用基于与先前在车辆中发生的混合问题相关联的学习数据集创建的多人造神经网络模型来预测与车辆的混合问题来创建神经网络问题预测值，并且归一化 转换值。 过渡变化预测单元通过分析神经网络问题预测值和先前在车辆中产生的先前的神经网络问题预测值来预测根据神经网络问题预测值的变化的混合问题的转变的变化。