Bamboo Wear and Its Application in Friction Material

Sliding wear behaviour of bamboo (Phyllostachys pubescens) was investigated in the cases of dry friction. The wear volume of bamboo was a function of the sliding velocity, the normal load and the relative orientation of bamboo fibres with respect to the friction surface. And tribological properties of the Bamboo Fiber Reinforced Friction Materials (BFRFMs) were tested on a constant speed friction tester. The results showed that the wear volume increased with the increase of sliding velocity and normal load. The normal-oriented specimens (N-type) showed sound wear resistance in comparison to the parallel-oriented ones (PS- and PI-type), and the outside surface layer (PS-type) showed sound resistance in comparison to the inner later (PI-typ). The friction coefficient of BFRFMs (reinforced with 3 wt.%, 6 wt.% and 9 wt.% bamboo fibers) were higher than those of the non-bamboo fiber reinforced friction material with identical ingredients mixed with and process conditions during the temperature-increasing procedure. The friction coefficients of the specimens containing 3 wt.% bamboo fibers were higher than that of other specimens. The wear rate of BFRFMs increased with the increasing of test temperature, and the wear rates of specimens containing 3 wt.% bamboo fibers were lower than that of others specimens

CA2: Cyber Attacks Analytics

The VAST Challenge 2020 Mini-Challenge 1 requires participants to identify the responsible white hat groups behind a fictional Internet outage. To address this task, we have created a visual analytics system named CA2: Cyber Attacks Analytics. This system is designed to efficiently compare and match subgraphs within an extensive graph containing anonymized profiles. Additionally, we showcase an iterative workflow that utilizes our system's capabilities to pinpoint the responsible group.Comment: IEEE Conference on Visual Analytics Science and Technology (VAST) Challenge Workshop 202

Water Resources Carrying Capacity Forecast of Jining Based on Non-Linear Dynamics Model

AbstractIn order to alleviate the problem of water resources shortage of Jining City, make reasonable use of water resources,and improve the water resources capacity of Jining City, the methods of the water resources capacity are researched.The system dynamics method is choosed to forecast the Water Resources Carrying Capacity (WRCC) of Jining City in the next 20 years. Three plans are taken, and the predicted results are analyzed. It has a certain significance to practice