共查询到4条相似文献,搜索用时 0 毫秒
1.
Nowadays, the world is fighting a dangerous form of Coronavirus that
represents an emerging pandemic. Since its early appearance in China Wuhan city, many
countries undertook several strict regulations including lockdowns and social distancing
measures. Unfortunately, these procedures have badly impacted the world economy.
Detecting and isolating positive/probable virus infected cases using a tree tracking
mechanism constitutes a backbone for containing and resisting such fast spreading
disease. For helping this hard effort, this research presents an innovative case study based
on big data processing techniques to build a complete tracking system able to identify the
central areas of infected/suspected people, and the new suspected cases using health
records integration with mobile stations spatio-temporal data logs. The main idea is to
identify the positive cases historical movements by tracking their phone location for the
last 14 days (i.e., the virus incubation period). Then, by acquiring the citizen’s mobile
phone locations for the same period, the system will be able to measure the Euclidean
distances between positive case locations and other nearby people to identify the incontact suspected-cases using parallel clustering and classification techniques. Moreover,
the daily change of the clusters size and its centroids will be used to predict new regions
of infection, as well as, new cases. Moreover, this approach will support infection
avoidance by alerting people approaching areas of high probability of infection using their
mobile GPS location. This case study has been developed as a simulation system
consisting of three components; positive cases/citizens movement’s data generation
subsystem, big data processing platform including CPU/GPU tasks, and data
visualization/map geotagging subsystem. The processing of such a big data system
requires intensive computing tasks. Therefore, GPU tasks carried out to achieve high
performance and accelerate the data processing. According to the simulated system
results, data partitioning and processing speed up measures have been examined. 相似文献
2.
电火花加工中电位差法放电位置的在线检测 总被引:2,自引:0,他引:2
在电火花加工(EDM)过程中,在线检测放电位置具有十分重要的意义,本文对电位误差法EDM放电位置的在线检测作了进一步的研究,并证明该检测方法不受脉冲宽度。供电分支导线长度和电极材料电阻率的影响。 相似文献
3.
T. Rodriguez-Suarez L.A. Díaz R. Torrecillas S. Lopez-Esteban W.-H. Tuan M. Nygren J.S. Moya 《Composites Science and Technology》2009
In the present work, the parameters controlling the alumina/W nanopowders Spark Plasma Sintering (SPS) process are studied. The important and crucial role of C diffusion from the SPS die in the microstructure, fraction of porosity and new phases formation (W2C) is discussed. It is also pointed out the importance of the processing parameters of the starting powder on the density and mechanical properties of the final compacts. In this regard, dense alumina/nW compacts containing 4 vol.% W with a hardness value as high as 24.6 ± 0.9 GPa were obtained. 相似文献