你使用什么模型处理XBRL? - Charlie

文章探讨了XBRL维度的复杂性和理解挑战,并提出了从不同角度审视模型使用的问题。通过分析不同模型如关系模型、层次模型和多维模型,作者强调了在处理XBRL信息时选择合适模型的重要性。此外,文章还引用了一个视频实例来展示如何将信息分为呈现模型和其他模型。文章最后质疑了使用呈现模型作为XBRL税则模型的情况,并鼓励读者思考自己使用的模型。

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Something occurred to me as I was working on something. XBRL Dimensions has
always gotten a lot of heat. "Too hard to understand". "My information is not
dimensional." There are other such statements, you have probably heard them.

But let's turn the question around and look at it from the opposite perspective.
If you don't like XBRL Dimensions or the multidimentional model which XBRL
Dimensions uses, then what model are you using?

If people are working with XBRL and they cannot answer that question, it seems
to me that they have a fundamental problem.

Relational model, hierarchical model, multidimensional model...computers need
some model to work with anything. When I was working on the US GAAP Taxonomy, I
got the sense that many others were looking at things as David vun Kannon
described "facts floating in space" on another thread. If you have individual
things floating around in space you still need some model, but it can be much
more less of a model. But, the US GAAP Taxonomy as boatloads of relations.
Things are simply not floating around in space.

A second point which goes along the lines of what Roland said about "true
dimensions" and "presentation related dimensions", etc. I have run across a
number of different schemes for working with information and I am seeing
consistencies between what Roland described in terms begin distinct about the
role of a dimension. I have seen the term "display" attributes used and
"navigation attributes" and "formatting information", etc. Seems to be very
consistent with what Roland is saying.

This little 90 second video articulates a model which this company uses and how
they separate their model (see point above about having SOME model) into
distinct pieces:

http://www.a3solutions.com/media/A3_SpreadsheetAutomation_preso.html
It seems to me to show very clearly that these folks separated "presentation"
(they use formatting) and the other stuff.

I suspect that a lot of people trying to model XBRL taxonomies are using some
sort of presentation model as their model. Not good.

So, what model are you using?

Cheers,

 Charlie
内容概要:该论文探讨了一种基于粒子群优化(PSO)的STAR-RIS辅助NOMA无线通信网络优化方法。STAR-RIS作为一种新型可重构智能表面,能同时反射和传输信号,与传统仅能反射的RIS不同。结合NOMA技术,STAR-RIS可以提升覆盖范围、用户容量和频谱效率。针对STAR-RIS元素众多导致获取完整信道状态信息(CSI)开销大的问题,作者提出一种在不依赖完整CSI的情况下,联合优化功率分配、基站波束成形以及STAR-RIS的传输和反射波束成形向量的方法,以最大化总可实现速率并确保每个用户的最低速率要求。仿真结果显示,该方案优于STAR-RIS辅助的OMA系统。 适合人群:具备一定无线通信理论基础、对智能反射面技术和非正交多址接入技术感兴趣的科研人员和工程师。 使用场景及目标:①适用于希望深入了解STAR-RIS与NOMA结合的研究者;②为解决无线通信中频谱资源紧张、提高系统性能提供新的思路和技术手段;③帮助理解PSO算法在无线通信优化问题中的应用。 其他说明:文中提供了详细的Python代码实现,涵盖系统参数设置、信道建模、速率计算、目标函数定义、约束条件设定、主优化函数设计及结果可视化等环节,便于读者理解和复现实验结果。此外,文章还对比了PSO与其他优化算法(如DDPG)的区别,强调了PSO在不需要显式CSI估计方面的优势。
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