“In terms of process,” Sheehan explains, “we made each glade a location in our ILS, and we bought stickers the same width as our spine labels, with the glade names.
“在操作中,”Sheehan这样解释,“我们让每一个glade都在我们的图书馆集成系统里有一个馆藏位置,然后我们用和我们贴在书脊上的标签一样宽度的标签,上面写着这一类的名称。
They also said the location of the labels on the packaging made a difference.
他们还表示,包装上的标签的位置形成了区别。
We used Logarithmic Distance Path Loss Model to locate after LANDMARC and filter reference labels of TOP K second time. Finally we promoted the precision of location.
本文引入对数距离路径损耗模型作为LANDMARC的补充进行二次定位,通过对TOP K参考标签进行二次筛选,来实现定位精确度的提升。
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