生活 (Life) 互帮扶之翻译日

\begin{itemize}
\item It’s a pretty impressive work.
The work should definitely help us to explore our data.
Without such an automated tool,it is a tedious work to explore the data.
Not only that,you have provided a new angle of looking at the data.
You have done a great job in automatically detecting and highlighting important features.
\item I particularly like the scene graph and the ability to include different information like average speed,density,etc. with trefoil-like symbols.
This enhanced scene graph provides us concise summary of the evolution,and surely is indispensable in analyzing evacuations of large urban area.
Further,automated shot composition,so that camera angles and view fields are automatically adjusted to draw the attention to necessary features,is quite useful in tracking the evolution in the 3D space. This is especially useful in identifying bottlenecks,and understanding how the features of environment hinder the evacuation process.
\item This dedicated tool not only provides new intuitive techniques to post-process and visualize the simulation results,but also greatly accelerates the process.
It only takes several minutes to explore the data and finish a concise summary of the evolution,whereas the previous post-processing and visualization need take several hours.
\item The usefulness of this tool can be further improved by including ability to summarize results of large number of simulations.
In evacuation studies,it is necessary to take stochastic approaches,like Monte-Carlo simulations,to deal with various uncertainties involved.
Analyzing the results of several thousands of simulations and categorize the features according to the probability of occurrence are some of the challenges we are facing.
Further,it is necessary to prepare a concise visual summary of this analysis,similar to the proposed scene graph,so that the evacuation planners can utilize these data in decision making.
I would like to suggest these for future studies.
These items would surely make this an indispensable tool in evacuation studies.
\end{itemize}

这是一项令人印象深刻的研究。 该研究极大地帮助我们有效挖掘利用我们的数据。如果没有这样一项自动分析工具,探索数据的过程将非常无聊。不仅如此,你还为我们展示了一个研究此类数据的全新视角。在自动检测数据并突出显示数据的重要特征方面,你做得非常出色。

我非常喜欢你所绘制的场景图以及你通过不同的特殊符号所呈现的多样化的数据特征,比如平均速度、密度等等。这使得场景图非常简明地展示出人群疏散的演变情况,并且我相信这样的分析对于研究大城市的人口疏散问题有着不可或缺的重要意义。更重要的是,自动的场景定位,使得照相机视角以及可视范围均被自动调整到关注一些重要的特征值上,这对于在3D空间中追踪演变过程非常有用。此外,这也对识别疏散过程中的瓶颈,以及理解怎样的环境特征会对疏散过程造成影响特别有帮助。

这项精细的分析工具不仅为后期分析和模拟数据的可视化提供了一项全新且直观的实现技术,并且大大加速了这一分析过程。相比当前许多后期分析和可视化工具需要花费数小时完成数据分析,本文所使用的工具只需短短几分钟就能完成分析并给出非常简洁明了的结果。

倘若使用大量模拟数据对本工具进行训练,此工具的价值一定会得到明显的提升。在灾难疏散的研究当中,经常需要运用模糊计算方法,例如蒙特卡洛模拟,来处理非常复杂的不确定因素。通过分析成千上万的模拟运算结果,并将这些数据的特征根据发生概率进行分类,正是我们当前研究中遇到的挑战之一。此外,提供一个简洁的可视化报告,类似于前述的场景图,这样,灾难疏散的路线设计者们将能够在决策制定过程中最大化地利用好这些数据。对于该课题的延伸探究,我给出上述建议。我相信,有了这些方面的补充,本工具一定会成为灾难疏散研究领域一项不可或缺的分析工具。

 

 

 

 

June 2nd, 2015 by