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Weimin Guo,Zuocheng Wang,Na Xu,Ning Ding,Junbo Shi 대한기계학회 2018 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.32 No.7
A 0.085 wt% P micro - alloyed and Ti-stabilized high strength IF (interstitial free) steel was warm rolled under two conditions: One with lubrication and the other without. The results show that lubrication has a significant effect on texture evolution during warm rolling and the subsequent annealing process. Without lubrication, severe shear deformation occurs in the surface layer, which results in recrystallization and the formation of a <110>//ND (normal direction) texture, while the central layer undergoes plane strain deformation and forms a weak <111>//ND deformation texture (typical of bcc iron). With good lubrication, both the surface and central layer experience plane strain deformation and a strong <111>//ND texture is normally formed. The warm rolling texture (which contains both recrystallized and deformed grains) has a profound effect on the subsequent annealing texture. The final textures influence the draw - ability of the plates, i.e. the r - value (r-value: The ratio of the true width strain to the true thickness strain in a sheet tensile test) and |Dr|-value (planar anisotropy coefficient). After annealing, the lubricated plates are characterized by a higher r - value (1.27) and a much lower |Dr|-value (0.075) than those rolled without lubrication (i.e. 0.96 for the r - value and 0.465 for the |Dr|-value).
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Multi-target Tracking Algorithm Based on TLD under Dynamic Background
Lixia Xue,Zuocheng Wang,Yanxiang Chen 보안공학연구지원센터 2015 International Journal of Hybrid Information Techno Vol.8 No.7
The tracking of multi-target under dynamic background is a challenging issue in computer vision. We improve TLD algorithm by introducing multi-threading mechanism to expand the number of the tracking targets. Thus the excellent framework of TLD for accurate long-time single target tracking is kept, and the tracking of multiple moving targets is realized at the same time. The time cost of tracking also reduces effectively by this algorithm to meet the real-time demand in many dynamic scenes.
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