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王东 《铁道通信信号》2014,50(11):33-35
列控设备动态监测系统在列控系统的运用和维护中被广泛推广和使用。通过日常运用中的实例,对如何利用列控设备动态监测系统发现和分析设备故障进行分析和探讨。  相似文献   
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通过第一性原理计算对Co掺杂ZnO稀磁半导体的磁学性质和电子结构进行了研究,对氧空位甘现在不同位置时体系总能进行计算,证实氧空位更容易在Co原子附近生成,电子结构计算表明Co-3d自旋电子在费米能级附近产生了自旋极化现象,提供局域磁矩;通过研究两个Co原子掺杂ZnO体系的电子结构,证实铁磁性的产生是两个co原子耦合的结果,氧原子起到了一定的调制作用.  相似文献   
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Dynamic message signs (DMS) have been widely used by transportation agencies to disseminate traffic information (referred to in this article as “public traffic information”) for decades. Unfortunately, their effectiveness is limited, based on the following reasons: they are costly, can only present a limited amount of information, and typically only display information in one language. The wide availability of smart devices and the development of connected vehicles offer the possibility to create “virtual” DMS (VDMS), utilizing geofencing and audible messages to convey public traffic information. This research compares the ability of VDMS to convey public traffic information with existing DMS. A mixed repeated-measure experiment using a driving simulator was designed that examined the impacts of driver age, information transmission mode, amount of information, and driving complexity on message comprehension. Forty-two participants were recruited and each of them was tested under different combinations of the three within-subject factors. Participant performance was measured in terms of message comprehension, distraction, and self-reported overall difficulty level in receiving messages. Results revealed that VDMS generally performs better than DMS as information content increases and driving condition complexity increases, regardless of driver age. VDMS increased message comprehension by 16% under relatively complex driving conditions, reduced driver reaction time to unexpected stimuli (as measured with a reduced time-to-brake of 0.39 s), and made the same messages easier to process and retain for drivers than DMS. Based on these results, it is recommended that transportation agencies give careful consideration to VDMS as a future strategy for delivering public traffic information in a connected vehicle environment.  相似文献   
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