Wenjie Lan

Example Talk

Sat, 01 Jun 2030 13:00:00 +0000

Click on the Slides button above to view the built-in slides feature.

Slides can be added in a few ways:

Create slides using Hugo Blox Builder’s Slides feature and link using slides parameter in the front matter of the talk file
Upload an existing slide deck to static/ and link using url_slides parameter in the front matter of the talk file
Embed your slides (e.g. Google Slides) or presentation video on this page using shortcodes.

Further event details, including page elements such as image galleries, can be added to the body of this page.

Differentially Private Computation of the Gini Index for Income InequalityU

Mon, 24 Nov 2025 00:00:00 +0000

An Optimized Position Management Method and System

Fri, 26 Jul 2024 00:00:00 +0000

Projects

Sun, 19 May 2024 00:00:00 +0000

A Dynamic Spillover Effect Investigation on Cryptocurrency Market Before and After Pandemic

Sun, 31 Dec 2023 00:00:00 +0000

Funding: This work was funded by the 2022 SWUFE Undergraduate Academic Elite Program [Project No. XSJY202257]

A Project on the prediction of systematic risk in stock market based on multibranch LSTM model with multidimensional heterogeneous perspective

Fri, 01 Dec 2023 00:00:00 +0000

This project adopts multi-dimensional, heterogeneous data—covering contagion effects, textual information, and fundamentals—to construct a feature set. Contagion indicators are derived from global market indices, capturing inter-market risk structures and CoES-based correlation vectors. Text features come from A-share financial news, while fundamental indicators encompass macroeconomic, stock market, and foreign exchange data, plus historical systemic risk.

A multi-branch LSTM model is then proposed to predict systemic risk in the A-share market. Three independent LSTM branches extract information from each modality, and a separate convolutional-LSTM branch learns holistic knowledge. Results show that contagion-network features significantly enhance model performance, and the multi-branch LSTM effectively supports the monitoring and early warning of systemic risk in the stock market.

🎉 Easily create your own simple yet highly customizable blog

Fri, 27 Oct 2023 00:00:00 +0000

Welcome 👋

Table of Contents

Overview

The Hugo Blox website builder for Hugo, along with its starter templates, is designed for professional creators, educators, and teams/organizations - although it can be used to create any kind of site
The template can be modified and customised to suit your needs. It’s a good platform for anyone looking to take control of their data and online identity whilst having the convenience to start off with a no-code solution (write in Markdown and customize with YAML parameters) and having flexibility to later add even deeper personalization with HTML and CSS
You can work with all your favourite tools and apps with hundreds of plugins and integrations to speed up your workflows, interact with your readers, and much more

Get Started

👉 Create a new site
📚 Personalize your site
💬 Chat with the Hugo Blox community or Hugo community
🐦 Twitter: @GetResearchDev @GeorgeCushen #MadeWithHugoBlox
💡 Request a feature or report a bug for Hugo Blox
⬆️ Updating Hugo Blox? View the Update Guide and Release Notes

Crowd-funded open-source software

To help us develop this template and software sustainably under the MIT license, we ask all individuals and businesses that use it to help support its ongoing maintenance and development via sponsorship.

As a token of appreciation for sponsoring, you can unlock these awesome rewards and extra features 🦄✨

Ecosystem

Bibtex To Markdown: Automatically import publications from BibTeX

Inspiration

Learn what other creators are building with this template.

Features

Page builder - Create anything with no-code blocks and elements
Edit any type of content - Blog posts, publications, talks, slides, projects, and more!
Create content in Markdown, Jupyter, or RStudio
Plugin System - Fully customizable color and font themes
Display Code and Math - Code syntax highlighting and LaTeX math supported
Integrations - Google Analytics, Disqus commenting, Maps, Contact Forms, and more!
Beautiful Site - Simple and refreshing one-page design
Industry-Leading SEO - Help get your website found on search engines and social media
Media Galleries - Display your images and videos with captions in a customizable gallery
Mobile Friendly - Look amazing on every screen with a mobile friendly version of your site
Multi-language - 35+ language packs including English, 中文, and Português
Multi-user - Each author gets their own profile page
Privacy Pack - Assists with GDPR
Stand Out - Bring your site to life with animation, parallax backgrounds, and scroll effects
One-Click Deployment - No servers. No databases. Only files.

Themes

Hugo Blox and its templates come with automatic day (light) and night (dark) mode built-in. Visitors can choose their preferred mode by clicking the sun/moon icon in the header.

Choose a stunning theme and font for your site. Themes are fully customizable.

License

Released under the MIT license.

🧠 Sharpen your thinking with a second brain

Thu, 26 Oct 2023 00:00:00 +0000

Create a personal knowledge base and share your knowledge with your peers.

Hugo Blox web framework empowers you with one of the most flexible note-taking capabilities out there.

Create a powerful knowledge base that works on top of a local folder of plain text Markdown files.

Use it as your second brain, either publicly sharing your knowledge with your peers via your website, or via a private GitHub repository and password-protected site just for yourself.

Mindmaps

Hugo Blox supports a Markdown extension for mindmaps.

With this open format, can even edit your mindmaps in other popular tools such as Obsidian.

Simply insert a Markdown code block labelled as markmap and optionally set the height of the mindmap as shown in the example below.

Mindmaps can be created by simply writing the items as a Markdown list within the markmap code block, indenting each item to create as many sub-levels as you need:


```markmap {height="200px"}
- Hugo Modules
- Hugo Blox
- blox-plugins-netlify
- blox-plugins-netlify-cms
- blox-plugins-reveal
```

renders as

- Hugo Modules
- Hugo Blox
- blox-plugins-netlify
- blox-plugins-netlify-cms
- blox-plugins-reveal

Anh here’s a more advanced mindmap with formatting, code blocks, and math:


```markmap
- Mindmaps
- Links
- [Hugo Blox Docs](https://docs.hugoblox.com/)
- [Discord Community](https://discord.gg/z8wNYzb)
- [GitHub](https://github.com/HugoBlox/hugo-blox-builder)
- Features
- Markdown formatting
- **inline** ~~text~~ *styles*
- multiline
text
- `inline code`
-
```js
console.log('hello');
console.log('code block');
```
- Math: $x = {-b \pm \sqrt{b^2-4ac} \over 2a}$
```

renders as

- Mindmaps
- Links
- [Hugo Blox Docs](https://docs.hugoblox.com/)
- [Discord Community](https://discord.gg/z8wNYzb)
- [GitHub](https://github.com/HugoBlox/hugo-blox-builder)
- Features
- Markdown formatting
- **inline** ~~text~~ *styles*
- multiline
text
- `inline code`
-
```js
console.log('hello');
console.log('code block');
```
- Math: $x = {-b \pm \sqrt{b^2-4ac} \over 2a}$

Highlighting

Highlight important text with mark:

<mark>Highlighted text</mark>

Callouts

Use callouts (aka asides, hints, or alerts) to draw attention to notes, tips, and warnings.

By wrapping a paragraph in {{% callout note %}} ... {{% /callout %}}, it will render as an aside.

{{% callout note %}}
A Markdown aside is useful for displaying notices, hints, or definitions to your readers.
{{% /callout %}}

renders as

A Markdown aside is useful for displaying notices, hints, or definitions to your readers.

Or use the warning callout type so your readers don’t miss critical details:

A Markdown aside is useful for displaying notices, hints, or definitions to your readers.

📈 Communicate your results effectively with the best data visualizations

Wed, 25 Oct 2023 00:00:00 +0000

Hugo Blox is designed to give technical content creators a seamless experience. You can focus on the content and Hugo Blox handles the rest.

Use popular tools such as Plotly, Mermaid, and data frames.

Charts

Hugo Blox supports the popular Plotly format for interactive data visualizations. With Plotly, you can design almost any kind of visualization you can imagine!

Save your Plotly JSON in your page folder, for example line-chart.json, and then add the {{< chart data="line-chart" >}} shortcode where you would like the chart to appear.

Demo:

You might also find the Plotly JSON Editor useful.

Diagrams

Hugo Blox supports the Mermaid Markdown extension for diagrams.

An example flowchart:

```mermaid
graph TD
A[Hard] -->|Text| B(Round)
B --> C{Decision}
C -->|One| D[Result 1]
C -->|Two| E[Result 2]
```

renders as

graph TD A[Hard] -->|Text| B(Round) B --> C{Decision} C -->|One| D[Result 1] C -->|Two| E[Result 2]

An example sequence diagram:

```mermaid
sequenceDiagram
Alice->>John: Hello John, how are you?
loop Healthcheck
John->>John: Fight against hypochondria
end
Note right of John: Rational thoughts!
John-->>Alice: Great!
John->>Bob: How about you?
Bob-->>John: Jolly good!
```

renders as

sequenceDiagram Alice->>John: Hello John, how are you? loop Healthcheck John->>John: Fight against hypochondria end Note right of John: Rational thoughts! John-->>Alice: Great! John->>Bob: How about you? Bob-->>John: Jolly good!

An example class diagram:

```mermaid
classDiagram
Class01 <|-- AveryLongClass : Cool
Class03 *-- Class04
Class05 o-- Class06
Class07 .. Class08
Class09 --> C2 : Where am i?
Class09 --* C3
Class09 --|> Class07
Class07 : equals()
Class07 : Object[] elementData
Class01 : size()
Class01 : int chimp
Class01 : int gorilla
Class08 <--> C2: Cool label
```

renders as

classDiagram Class01 <|-- AveryLongClass : Cool Class03 *-- Class04 Class05 o-- Class06 Class07 .. Class08 Class09 --> C2 : Where am i? Class09 --* C3 Class09 --|> Class07 Class07 : equals() Class07 : Object[] elementData Class01 : size() Class01 : int chimp Class01 : int gorilla Class08 <--> C2: Cool label

An example state diagram:

```mermaid
stateDiagram
[*] --> Still
Still --> [*]
Still --> Moving
Moving --> Still
Moving --> Crash
Crash --> [*]
```

renders as

stateDiagram [*] --> Still Still --> [*] Still --> Moving Moving --> Still Moving --> Crash Crash --> [*]

Data Frames

Save your spreadsheet as a CSV file in your page’s folder and then render it by adding the Table shortcode to your page:

{{< table path="results.csv" header="true" caption="Table 1: My results" >}}

renders as

Table 1: My results
customer_id	score
1	0
2	0.5
3	1

👩🏼‍🏫 Teach academic courses

Tue, 24 Oct 2023 00:00:00 +0000

Hugo Blox Builder is designed to give technical content creators a seamless experience. You can focus on the content and the Hugo Blox Builder which this template is built upon handles the rest.

Embed videos, podcasts, code, LaTeX math, and even test students!

On this page, you’ll find some examples of the types of technical content that can be rendered with Hugo Blox.

Video

Teach your course by sharing videos with your students. Choose from one of the following approaches:

Youtube:

{{< youtube D2vj0WcvH5c >}}

Bilibili:

{{< bilibili BV1WV4y1r7DF >}}

Video file

Videos may be added to a page by either placing them in your assets/media/ media library or in your page’s folder, and then embedding them with the video shortcode:

{{< video src="my_video.mp4" controls="yes" >}}

Podcast

You can add a podcast or music to a page by placing the MP3 file in the page’s folder or the media library folder and then embedding the audio on your page with the audio shortcode:

{{< audio src="ambient-piano.mp3" >}}

Try it out:

Test students

Provide a simple yet fun self-assessment by revealing the solutions to challenges with the spoiler shortcode:

{{< spoiler text="👉 Click to view the solution" >}}
You found me!
{{< /spoiler >}}

renders as

👉 Click to view the solution

You found me 🎉

Math

Hugo Blox Builder supports a Markdown extension for $\LaTeX$ math. Enable math by setting the math: true option in your page’s front matter, or enable math for your entire site by toggling math in your config/_default/params.yaml file:

features:
 math:
 enable: true

To render inline or block math, wrap your LaTeX math with $...$ or $$...$$, respectively.

Example math block:

$$
\gamma_{n} = \frac{ \left | \left (\mathbf x_{n} - \mathbf x_{n-1} \right )^T \left [\nabla F (\mathbf x_{n}) - \nabla F (\mathbf x_{n-1}) \right ] \right |}{\left \|\nabla F(\mathbf{x}_{n}) - \nabla F(\mathbf{x}_{n-1}) \right \|^2}
$$

renders as

$$\gamma_{n} = \frac{ \left | \left (\mathbf x_{n} - \mathbf x_{n-1} \right )^T \left [\nabla F (\mathbf x_{n}) - \nabla F (\mathbf x_{n-1}) \right ] \right |}{\left \|\nabla F(\mathbf{x}_{n}) - \nabla F(\mathbf{x}_{n-1}) \right \|^2}$$

Example inline math $\nabla F(\mathbf{x}_{n})$ renders as $\nabla F(\mathbf{x}_{n})$.

Example multi-line math using the math linebreak (\\):

$$f(k;p_{0}^{*}) = \begin{cases}p_{0}^{*} & \text{if }k=1, \\
1-p_{0}^{*} & \text{if }k=0.\end{cases}$$

renders as

$$ f(k;p_{0}^{*}) = \begin{cases}p_{0}^{*} & \text{if }k=1, \\ 1-p_{0}^{*} & \text{if }k=0.\end{cases} $$

Code

Hugo Blox Builder utilises Hugo’s Markdown extension for highlighting code syntax. The code theme can be selected in the config/_default/params.yaml file.

```python
import pandas as pd
data = pd.read_csv("data.csv")
data.head()
```

renders as

import pandas as pd
data = pd.read_csv("data.csv")
data.head()

Inline Images

{{< icon name="python" >}} Python

renders as

Python

Experience

Tue, 24 Oct 2023 00:00:00 +0000

Learn JavaScript

Tue, 24 Oct 2023 00:00:00 +0000

Hugo Blox Builder is designed to give technical content creators a seamless experience. You can focus on the content and the Hugo Blox Builder which this template is built upon handles the rest.

Embed videos, podcasts, code, LaTeX math, and even test students!

On this page, you’ll find some examples of the types of technical content that can be rendered with Hugo Blox.

Video

Teach your course by sharing videos with your students. Choose from one of the following approaches:

Youtube:

{{< youtube w7Ft2ymGmfc >}}

Bilibili:

{{< bilibili id="BV1WV4y1r7DF" >}}

Video file

Videos may be added to a page by either placing them in your assets/media/ media library or in your page’s folder, and then embedding them with the video shortcode:

{{< video src="my_video.mp4" controls="yes" >}}

Podcast

You can add a podcast or music to a page by placing the MP3 file in the page’s folder or the media library folder and then embedding the audio on your page with the audio shortcode:

{{< audio src="ambient-piano.mp3" >}}

Try it out:

Test students

Provide a simple yet fun self-assessment by revealing the solutions to challenges with the spoiler shortcode:

{{< spoiler text="👉 Click to view the solution" >}}
You found me!
{{< /spoiler >}}

renders as

👉 Click to view the solution

You found me 🎉

Math

Hugo Blox Builder supports a Markdown extension for $\LaTeX$ math. You can enable this feature by toggling the math option in your config/_default/params.yaml file.

To render inline or block math, wrap your LaTeX math with {{< math >}}$...${{< /math >}} or {{< math >}}$$...$${{< /math >}}, respectively.

We wrap the LaTeX math in the Hugo Blox math shortcode to prevent Hugo rendering our math as Markdown.

Example math block:

{{< math >}}
$$
\gamma_{n} = \frac{ \left | \left (\mathbf x_{n} - \mathbf x_{n-1} \right )^T \left [\nabla F (\mathbf x_{n}) - \nabla F (\mathbf x_{n-1}) \right ] \right |}{\left \|\nabla F(\mathbf{x}_{n}) - \nabla F(\mathbf{x}_{n-1}) \right \|^2}
$$
{{< /math >}}

renders as

Example inline math {{< math >}}$\nabla F(\mathbf{x}_{n})${{< /math >}} renders as $\nabla F(\mathbf{x}_{n})$ .

Example multi-line math using the math linebreak (\\):

{{< math >}}
$$f(k;p_{0}^{*}) = \begin{cases}p_{0}^{*} & \text{if }k=1, \\
1-p_{0}^{*} & \text{if }k=0.\end{cases}$$
{{< /math >}}

renders as

$$ f(k;p_{0}^{*}) = \begin{cases}p_{0}^{*} & \text{if }k=1, \\ 1-p_{0}^{*} & \text{if }k=0.\end{cases} $$

Code

Hugo Blox Builder utilises Hugo’s Markdown extension for highlighting code syntax. The code theme can be selected in the config/_default/params.yaml file.

```python
import pandas as pd
data = pd.read_csv("data.csv")
data.head()
```

renders as

import pandas as pd
data = pd.read_csv("data.csv")
data.head()

Inline Images

{{< icon name="python" >}} Python

renders as

Python

Learn Python

Tue, 24 Oct 2023 00:00:00 +0000

Hugo Blox Builder is designed to give technical content creators a seamless experience. You can focus on the content and the Hugo Blox Builder which this template is built upon handles the rest.

Embed videos, podcasts, code, LaTeX math, and even test students!

On this page, you’ll find some examples of the types of technical content that can be rendered with Hugo Blox.

Video

Teach your course by sharing videos with your students. Choose from one of the following approaches:

Youtube:

{{< youtube w7Ft2ymGmfc >}}

Bilibili:

{{< bilibili id="BV1WV4y1r7DF" >}}

Video file

Videos may be added to a page by either placing them in your assets/media/ media library or in your page’s folder, and then embedding them with the video shortcode:

{{< video src="my_video.mp4" controls="yes" >}}

Podcast

You can add a podcast or music to a page by placing the MP3 file in the page’s folder or the media library folder and then embedding the audio on your page with the audio shortcode:

{{< audio src="ambient-piano.mp3" >}}

Try it out:

Test students

Provide a simple yet fun self-assessment by revealing the solutions to challenges with the spoiler shortcode:

{{< spoiler text="👉 Click to view the solution" >}}
You found me!
{{< /spoiler >}}

renders as

👉 Click to view the solution

You found me 🎉

Math

Hugo Blox Builder supports a Markdown extension for $\LaTeX$ math. You can enable this feature by toggling the math option in your config/_default/params.yaml file.

To render inline or block math, wrap your LaTeX math with {{< math >}}$...${{< /math >}} or {{< math >}}$$...$${{< /math >}}, respectively.

We wrap the LaTeX math in the Hugo Blox math shortcode to prevent Hugo rendering our math as Markdown.

Example math block:

{{< math >}}
$$
\gamma_{n} = \frac{ \left | \left (\mathbf x_{n} - \mathbf x_{n-1} \right )^T \left [\nabla F (\mathbf x_{n}) - \nabla F (\mathbf x_{n-1}) \right ] \right |}{\left \|\nabla F(\mathbf{x}_{n}) - \nabla F(\mathbf{x}_{n-1}) \right \|^2}
$$
{{< /math >}}

renders as

Example inline math {{< math >}}$\nabla F(\mathbf{x}_{n})${{< /math >}} renders as $\nabla F(\mathbf{x}_{n})$ .

Example multi-line math using the math linebreak (\\):

{{< math >}}
$$f(k;p_{0}^{*}) = \begin{cases}p_{0}^{*} & \text{if }k=1, \\
1-p_{0}^{*} & \text{if }k=0.\end{cases}$$
{{< /math >}}

renders as

$$ f(k;p_{0}^{*}) = \begin{cases}p_{0}^{*} & \text{if }k=1, \\ 1-p_{0}^{*} & \text{if }k=0.\end{cases} $$

Code

Hugo Blox Builder utilises Hugo’s Markdown extension for highlighting code syntax. The code theme can be selected in the config/_default/params.yaml file.

```python
import pandas as pd
data = pd.read_csv("data.csv")
data.head()
```

renders as

import pandas as pd
data = pd.read_csv("data.csv")
data.head()

Inline Images

{{< icon name="python" >}} Python

renders as

Python

✅ Manage your projects

Mon, 23 Oct 2023 00:00:00 +0000

Easily manage your projects - create ideation mind maps, Gantt charts, todo lists, and more!

Ideation

Hugo Blox supports a Markdown extension for mindmaps.

Simply insert a Markdown code block labelled as markmap and optionally set the height of the mindmap as shown in the example below.

Mindmaps can be created by simply writing the items as a Markdown list within the markmap code block, indenting each item to create as many sub-levels as you need:


```markmap {height="200px"}
- Hugo Modules
- Hugo Blox
- blox-plugins-netlify
- blox-plugins-netlify-cms
- blox-plugins-reveal
```

renders as

- Hugo Modules
- Hugo Blox
- blox-plugins-netlify
- blox-plugins-netlify-cms
- blox-plugins-reveal

Diagrams

Hugo Blox supports the Mermaid Markdown extension for diagrams.

An example Gantt diagram:

```mermaid
gantt
section Section
Completed :done, des1, 2014-01-06,2014-01-08
Active :active, des2, 2014-01-07, 3d
Parallel 1 : des3, after des1, 1d
Parallel 2 : des4, after des1, 1d
Parallel 3 : des5, after des3, 1d
Parallel 4 : des6, after des4, 1d
```

renders as

gantt section Section Completed :done, des1, 2014-01-06,2014-01-08 Active :active, des2, 2014-01-07, 3d Parallel 1 : des3, after des1, 1d Parallel 2 : des4, after des1, 1d Parallel 3 : des5, after des3, 1d Parallel 4 : des6, after des4, 1d

Todo lists

You can even write your todo lists in Markdown too:

- [x] Write math example
 - [x] Write diagram example
- [ ] Do something else

renders as

Write math example
- Write diagram example
Do something else

Customer Credit Risk Prediction and Identification

Sun, 01 Jan 2023 00:00:00 +0000

Competition: Third Sichuan University Financial Technology Modeling Competition Award: First Place **Awared by:**The Education Department of Sichuan Provincial

This project, presented for the Third Sichuan University Financial Technology Modeling Competition, focuses on customer credit risk prediction and identification. It emphasizes constructing a stable, high-performing binary classification model for credit risk management based on financial data.

Key Highlights

Data Analysis and Preparation

Data Overview:
- Combined datasets include 24,983 samples and 205 features. After preprocessing, 124 features remain (33 textual and ~33% date-related features).
Data Cleaning:
- Missing values:
  - Median imputation for continuous variables.
  - Mode imputation for discrete variables.
  - Filling with -99 for features with >95% missing.
- Encoding methods:
  - Count encoding for categories with <10 values.
  - WOE binning for categories with >10 values.
- Time features are extracted based on hours/minutes or intervals from the current day.
Feature Selection and Engineering:
- Importance-ranked features selected via XGBoost.
- Featuretools used to generate new feature combinations.

Model Building

Architecture:
- Three-layered stacking framework:
  - Layer 1: Base models include CatBoost, LightGBM, XGBoost, and Random Forest.
  - Layer 2: Outputs from base models serve as inputs for four distinct sub-models.
  - Layer 3: Final predictions are generated through normalized weighted voting.
Model Optimization:
- 5-fold cross-validation and grid search are applied to optimize hyperparameters for base models.

Evaluation

Model performance is assessed using AUC (Area Under the Curve):
- Individual Models:
  - CatBoost: 0.8486
  - LightGBM: 0.8476
  - XGBoost: 0.8464
  - Random Forest: 0.8423
- Stacking and Voting:
  - Stacking 1: 0.8523
  - Stacking 2: 0.8530
  - Voting: 0.8594 (Best Performance)

Credit Rating System

Structure:
- Customers are classified into 9 levels based on predicted risk, with clear distribution and distinguishable credit tiers.
- 9.77% of users belong to the top levels (8 and above), reflecting the model’s discriminatory power.
Implementation:
- Integrated with a web-based system using Docker and Vue.js for front-end services.
- Compared to FICO models, the system provides zones for:
  - Quality customers.
  - Value exploration.
  - Overestimation.
  - Risk elimination.

Conclusions and Suggestions

The project demonstrates strong modeling capabilities through effective stacking and feature engineering.
The authors suggest refining the model for real-world applications and exploring the scalability of the approach for diverse datasets.

This project presents a robust credit risk modeling framework with promising performance, practical implications, and room for further enhancement in financial technology applications.

2022CUMCM-B-Mathematics-Modelling

Wed, 26 Oct 2022 00:00:00 +0000

Competition: 2022CUMCM-B-Mathematics-Modelling Award: National Second Place **Awared by:**China Society for Industrial and Applied Mathematics This paper addresses the problem of passive localization and formation adjustment in UAV (Unmanned Aerial Vehicle) formation flying by developing models and innovative algorithms. The main contributions are summarized below:

Problem 1, Subquestion 1:
- The task is transformed into finding the intersection points of multiple arc trajectories.
- A universal multi-point trajectory localization model is established in polar coordinates.
- An Information Source Traceback Algorithm (Appendix 2) is innovatively developed to match signal sources with UAV identifiers by comparing ideal and actual angles within an error margin. This allows solving corresponding trajectory equations and forming the final multi-point trajectory localization model (5.1.2) for UAV positioning.
Problem 1, Subquestion 2:
- The problem is reformulated as an optimal incremental signal source planning task.
- A 0-1 optimization model (5.2.1) is created and solved using a looped search structure.
- The Information Source Traceback Algorithm is improved (Appendix 3) to account for slight UAV positional deviations. It identifies unknown UAVs by approximating their azimuthal angles. The solution reveals that adding only one UAV signal emitter achieves effective localization, excluding FY00 and FY01 (5.2.3).
Problem 1, Subquestion 3:
- A greedy approach is used to construct an iterative optimization model for UAV positioning (5.3.1).
- Using fixed, unbiased signal sources (FY00 and FY01) as the coordinate system, other UAVs are iteratively selected for positioning and adjustment, reducing errors through convergence in three iterations (5.3.2). This results in an effective formation adjustment scheme.
Problem 2:
- Based on the traceback algorithm and localization model, a conical formation adjustment scheme is developed (5.4.1). Localization starts with three UAVs forming a central equilateral triangle and expands outward layer by layer.
- The approach is generalized to any arbitrary formation (5.4.2), involving iterative adjustments using accurate UAV positions as references.
- Practical application is demonstrated with an example of adjusting UAVs in a “China”-shaped formation (5.4.3).
Robustness Testing:
- The robustness of the improved traceback algorithm is verified through angle error discussions, ensuring reliability under slight positional deviations.

Conclusion

The paper emphasizes the Information Source Traceback Algorithm and Multi-Point Trajectory Localization Model as core methodologies. These are applied to real-world UAV localization and formation adjustment problems, offering optimized adjustment schemes and effective generalization to various scenarios.

Prediction of Enterprise ST Based on LSTM+GRU

Mon, 22 Aug 2022 00:00:00 +0000

A Synthetical Water Dispatching Model Give it or Give up

Wed, 26 Jan 2022 00:00:00 +0000

Competition: Mathematical Contest in Modelling Award: Finalist (Top: 2% among 27,205 Teams) Awarded by: the Consortium for Mathematics and Its Applications

Water Loss in Dams Due to Climate Change: A Mathematical Approach

Water loss in dams resulting from climate change has become a prominent problem in recent years, thus influencing humans’ life and production. To help address this issue, mathematical models are required to be established.

Problem 1

Problem 1 can be divided into three parts:

Service Area Coordination:
- Maps are rasterized, and service areas for two dams are classified using a Comparative Optimization Algorithm.
Comprehensive Dispatching Model for Water:
- Demand Side: An AIR Model is established to capture water demands, resulting in:
  - 11858569 m³ to be drawn from the Glen Canyon Dam.
  - 40978282 m³ to be drawn from the Hoover Dam.
- Supply Side: Analysis of water levels and water volumes is conducted, with water-electricity generation fitted through Polynomial Interpolation, laying the foundation for subsequent analysis.
Dynamic Programming Model:
- Calculates the time until demands are unmet at fixed water levels:
  - For the highest water level, the time is 495 days.
- Additional water as a function of time is derived (see Section 4.6).
- To consider Mexico’s residual claims, a Water-Supply Corridor Model is proposed, balancing respect for rights and interests (see Section 4.7).

Problem 2

A Multi-Interest Tradeoff Model is developed using Goal Programming and Input-Output Theory:

Economic Benefits as Criteria:
- Four “players” of competing interests are identified.
- Results include:
  - 11848077 m³ drawn from the Glen Canyon Dam.
  - 39125274 m³ drawn from the Hoover Dam.
- Reallocation results in increased water for industry and decreased water for agriculture (see Section 5.2, Table 5).

Problem 3

When supply cannot meet all water demand:

Inspired by the NSGA-II Algorithm (a type of Genetic Algorithm), specific approaches are recommended:
1. Reducing the scale of industries with low water-use efficiency and allocating more water to efficient industries.
2. Promoting technological innovation in industries with low water-use efficiency to improve resource utilization.

Conclusion

To ensure robustness, sensitivity analysis is conducted, and a summary article containing findings and suggestions has been written for the Drought and Thirst Magazine.

Wenjie Lan

Example Talk

Differentially Private Computation of the Gini Index for Income InequalityU

An Optimized Position Management Method and System

Projects

A Dynamic Spillover Effect Investigation on Cryptocurrency Market Before and After Pandemic

A Project on the prediction of systematic risk in stock market based on multibranch LSTM model with multidimensional heterogeneous perspective

🎉 Easily create your own simple yet highly customizable blog

Overview

Get Started

Crowd-funded open-source software

❤️ Click here to become a sponsor and help support Hugo Blox’s future ❤️

Ecosystem

Inspiration

Features

Themes

License

🧠 Sharpen your thinking with a second brain

Mindmaps

Highlighting

Callouts

Did you find this page helpful? Consider sharing it 🙌

📈 Communicate your results effectively with the best data visualizations

Charts

Diagrams

Data Frames

Did you find this page helpful? Consider sharing it 🙌

👩🏼‍🏫 Teach academic courses

Video

Podcast

Test students

Math

Code

Inline Images

Did you find this page helpful? Consider sharing it 🙌

Experience

Learn JavaScript

Video

Podcast

Test students

Math

Code

Inline Images

Did you find this page helpful? Consider sharing it 🙌

Learn Python

Video

Podcast

Test students

Math

Code

Inline Images

Did you find this page helpful? Consider sharing it 🙌

✅ Manage your projects

Ideation

Diagrams

Todo lists

Did you find this page helpful? Consider sharing it 🙌

Customer Credit Risk Prediction and Identification

Key Highlights

Data Analysis and Preparation

Model Building

Evaluation

Credit Rating System

Conclusions and Suggestions

2022CUMCM-B-Mathematics-Modelling

Conclusion

Prediction of Enterprise ST Based on LSTM+GRU

A Synthetical Water Dispatching Model Give it or Give up

Water Loss in Dams Due to Climate Change: A Mathematical Approach

Problem 1

Problem 2

Problem 3

Conclusion