The stayed cables of cable-stayed bridges are the main load-bearing components. The cable tension and its variation are two of the most important criteria for judging if a cable-stayed bridge is in order. Through monitoring the cable tension and its variation, the overall technical condition of a cable-stayed bridge can be estimated and whether the cable socket system and protecting system are functional and whether the steel wires in the stayed cables are rusted can be checked. In this paper the frequency analysis method for in situ measuring of cable tension with polyvinylidene fluoride (PVDF) piezoelectric films is put forward. The relationship between the cable sag and the cable tension is explored and the disadvantages of the traditional measuring method of cable tension with frequency analysis are also represented, as are the explicit error equation and its compensation methods. The simultaneous experimental results on a stayed-cable model and the comparison results measured with the accelerometer are presented.
High-performance computing (HPC) researchers have long envisioned scenarios where application workflows could be improved through the use of programmable processing elements embedded in the network fabric. Recently, vendors have introduced programmable Smart Network Interface Cards (SmartNICs) that enable computations to be offloaded to the edge of the network. There is great interest in both the HPC and high-performance data analytics (HPDA) communities in understanding the roles these devices may play in the data paths of upcoming systems.This paper focuses on characterizing both the networking and computing aspects of NVIDIA's new BlueField-2 SmartNIC when used in a 100Gb/s Ethernet environment. For the networking evaluation we conducted multiple transfer experiments between processors located at the host, the SmartNIC, and a remote host. These tests illuminate how much effort is required to saturate the network and help estimate the processing headroom available on the SmartNIC during transfers. For the computing evaluation we used the stress-ng benchmark to compare the BlueField-2 to other servers and place realistic bounds on the types of offload operations that are appropriate for the hardware.Our findings from this work indicate that while the BlueField-2 provides a flexible means of processing data at the network's edge, great care must be taken to not overwhelm the hardware. While the host can easily saturate the network link, the SmartNIC's embedded processors may not have enough computing resources to sustain more than half the expected bandwidth when using kernel-space packet processing. From a computational perspective, encryption operations, memory operations under contention, and on-card IPC operations on the SmartNIC perform significantly better than the general-purpose servers used for comparisons in our experiments. Therefore, applications that mainly focus on these operations may be good candidates for offloading to the SmartNIC.
<p class="Abstract">This paper proposed an integrated solution for robot self-localization in the RoboCup middle size league. Firstly, a kind of radial scan-lines are introduced to preprocess the images from the omni-directional camera so as to reduce the computational load and improve efficiency. The key points of this algorithm are minimizing the errors between the mark points and the detect points. In order to improve the self-location performance and reduce the effect by the dithering image, an optimized approach was presented and the extended Kalman filter was utilized to fuse visual information, odometry information and digital compass data. Secondly, before applying this approach into our robots, we built the simulate environment and compared the result to the existing particle filtering approach with 200 particles. Simulation result showed this approach is computational efficient and precise. Our method is computationally cheaper than the particle filtering approach. Finally, we tested the approach in the real RoboCup middle size league robot contest field. The experiments showed the optimized error minimizing self-localization provided high level capabilities.</p>
Hydrothennal method was used to synthesize nanoscale particles of MnZn ferrites. The crystallites were characterized by XRD, TEM and SEM. The effects of the reaction time, temperature and additives on the product were investigated. Crystani~a-tion process would be carried out above 160 °C for 5 h or more, higher temperature can reduce the reaction time, Additives were used to remove impurities such as Fez 03, ZnMn03.10 ~ 15 nm pure slightly agglomerated MnZn ferrite crystaUites with a nma~w grain size distribution were obtained,
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