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湖南明清时期汉民居分区探索 被引量:1
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作者 符炫 吴顺东 《湖南考古辑刊》 2009年第1期308-322,共15页
本文讨论湖南省内明清时期汉族民居的特点,由于湖南境内自然环境条件的多变和地貌地形的复杂多样,使本地的民居建筑具有了多元建筑文化的特质。作者根据实地考察经验将湖南全境的古民居划分为东、西、南、北、中、东南、东北、西南、西... 本文讨论湖南省内明清时期汉族民居的特点,由于湖南境内自然环境条件的多变和地貌地形的复杂多样,使本地的民居建筑具有了多元建筑文化的特质。作者根据实地考察经验将湖南全境的古民居划分为东、西、南、北、中、东南、东北、西南、西北9个区块(系),并分别对不同区域的汉民居特点进行了概述,得出一些十分有价值的结论。 展开更多
关键词 湖南 明清时期 汉族民居 分区探索
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基于探索式分区和测试向量生成的硬件木马检测方法 被引量:6
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作者 薛明富 胡爱群 王箭 《电子学报》 EI CAS CSCD 北大核心 2016年第5期1132-1138,共7页
本文提出基于分区和最优测试向量生成的硬件木马检测方法.首先,采用基于扫描细胞分布的分区算法将电路划分为多个区域.然后,提出测试向量重组算法,对各区域依据其自身结构生成近似最优的测试向量.最后,进行分区激活和功耗分析以检测木马... 本文提出基于分区和最优测试向量生成的硬件木马检测方法.首先,采用基于扫描细胞分布的分区算法将电路划分为多个区域.然后,提出测试向量重组算法,对各区域依据其自身结构生成近似最优的测试向量.最后,进行分区激活和功耗分析以检测木马,并采用信号校正技术消减制造变异和噪声的影响.优点是成倍提高了检测精度,克服了制造变异的影响,解决了面对大电路的扩展性问题,并可以定位木马.在基准电路上的验证实验表明检测性能有较大的提升. 展开更多
关键词 硬件安全 硬件木马检测 探索分区 最优测试向量生成
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Robot SLAM with Ad hoc wireless network adapted to search and rescue environments 被引量:4
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作者 WANG Hong-ling ZHANG Cheng-jin +1 位作者 SONG Yong PANG Bao 《Journal of Central South University》 SCIE EI CAS CSCD 2018年第12期3033-3051,共19页
An innovative multi-robot simultaneous localization and mapping(SLAM)is proposed based on a mobile Ad hoc local wireless sensor network(Ad-WSN).Multiple followed-robots equipped with the wireless link RS232/485module ... An innovative multi-robot simultaneous localization and mapping(SLAM)is proposed based on a mobile Ad hoc local wireless sensor network(Ad-WSN).Multiple followed-robots equipped with the wireless link RS232/485module act as mobile nodes,with various on-board sensors,Tp-link wireless local area network cards,and Tp-link wireless routers.The master robot with embedded industrial PC and a complete robot control system autonomously performs the SLAM task by exchanging information with multiple followed-robots by using this self-organizing mobile wireless network.The PC on the remote console can monitor multi-robot SLAM on-site and provide direct motion control of the robots.This mobile Ad-WSN complements an environment devoid of usual GPS signals for the robots performing SLAM task in search and rescue environments.In post-disaster areas,the network is usually absent or variable and the site scene is cluttered with obstacles.To adapt to such harsh situations,the proposed self-organizing mobile Ad-WSN enables robots to complete the SLAM process while improving the performances of object of interest identification and exploration area coverage.The information of localization and mapping can communicate freely among multiple robots and remote PC control center via this mobile Ad-WSN.Therefore,the autonomous master robot runs SLAM algorithms while exchanging information with multiple followed-robots and with the remote PC control center via this local WSN environment.Simulations and experiments validate the improved performances of the exploration area coverage,object marked,and loop closure,which are adapted to search and rescue post-disaster cluttered environments. 展开更多
关键词 search and rescue environments local Ad-WSN robot simultaneous localization and mapping distributed particle filter algorithms coverage area exploration
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