Shaobo Han

Lectures

Fri, 24 Aug 2018 00:00:00 +0000

Lecture Slides

Labs

Fri, 24 Aug 2018 00:00:00 +0000

Labs

Homework

Fri, 24 Aug 2018 00:00:00 +0000

Homework Assignments

Resources

Fri, 24 Aug 2018 00:00:00 +0000

Resources

Tables:

R Homepage: https://www.r-project.org/

RStudio: https://www.rstudio.com/products/rstudio/

R Shiny: http://shiny.rstudio.com/

R Markdown: https://rmarkdown.rstudio.com/

R Tutorial: http://www.cyclismo.org/tutorial/R/

Intro to R Markdown: http://rpubs.com/andrew-cho/303981

Quick-R: A handy reference for R: https://www.statmethods.net/

Rseek: A search engine for relevant R sites: https://rseek.org/

Corrections to Probability and Statistics 4 ed.: http://www.stat.cmu.edu/~mark/degroot/typos/typos.html

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 Wowchemy’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.

Acoustic impulse event recognition over telecom fiber cables

Sat, 06 Jul 2024 00:00:00 +0000

Fiber sensing detects physical parameters such as phase and polarization changes in optical signals. This optical data must be interpreted into human-understandable events and scene information for real-world applications.

We developed applied machine learning and signal processing algorithms that transform low-level sensory inputs into high-level information, providing real-time perception of the physical world.

The solution can be utilized for reconstructing crime scenes and continuously monitoring events such as car alarms triggered by theft, home break-ins, gunshots, and prohibited fireworks, to enhance public safety in smart and secure city applications.

The real-world fiber-optic gunshot-firework dataset is available [here].

To Know More

“CLAP-S: Support set-based adaption for downstream fiber-optic acoustic Recognition.” ICASSP, Lecture, 2025.
“Deep learning-based intrusion detection and impulsive event classification for distributed acoustic sensing across telecom networks.” Journal of Lightwave Technology, 2024.
“Field tests of impulsive acoustic event detection, localization, and classification over telecom fiber networks.” OECC Postdeadline Paper, 2022.

Weakly-supervised learning from ambient traffic data

Tue, 16 May 2023 00:00:00 +0000

Distributed acoustic sensing is a technology that captures real-world acoustic and vibration events at the speed of light. Just as a lighthouse serves as a reference point for navigating ships across the vast ocean, manholes can be employed as landmarks to determine the locations of other detected acoustic events around the cable.

During the summer of 2021, I had the privilege of supervising an internship project focused on localizing manholes within existing networks through learning from ambient data. Our team developed an innovative solution based on deep multiple instance learning, pushing the boundaries of utilizing ambient environment data for fiber sensing tasks with less human annotation. In addition, manhole also serves as the key accessing point and this approach holds great promise in enhancing operational efficiency of telecom carriers and reducing field work.

To Know More

Eigenvalue-based method for earthquake sensing and localization

Mon, 27 Mar 2023 00:00:00 +0000

Seventy percent of our planet is covered by water, and it is crucial to monitor disturbances beneath the ocean’s surface for the protection of trans-oceanic communication cables and the tracking of various activities including earthquakes, tsunamis, volcanic events, and maritime traffic.

In the summer of 2022, I supervised an internship project aimed at utilizing fiber sensing technology over submarine cables to precisely locate disturbances. By analyzing changes in light transmission within the cable, our team developed a cutting-edge solution that utilizes the matrix similarity property to effectively separate the contributions from each span. This breakthrough enables us to achieve highly accurate earthquake localization via polarization sensing and enhances our ability to monitor and mitigate potential risks in underwater environments.

To Know More

Use linear algebra to localize earthquakes through submarine fiber sensing, NEC Labs blog
Polarization sensing using polarization rotation matrix eigenvalue method, (Oral presentation) OFC 2023
Improvement of resilience of submarine networks based on fiber sensing, SubOptic 2023

Welcome to Wowchemy, the website builder for Hugo

Sun, 13 Dec 2020 00:00:00 +0000

Overview

The Wowchemy 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

The template is mobile first with a responsive design to ensure that your site looks stunning on every device.

Get Started

👉 Create a new site
📚 Personalize your site
💬 Chat with the Wowchemy community or Hugo community
🐦 Twitter: @wowchemy @GeorgeCushen #MadeWithWowchemy
💡 Request a feature or report a bug for Wowchemy
⬆️ Updating Wowchemy? 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

Hugo Academic CLI: Automatically import publications from BibTeX

Inspiration

Check out the latest demo of what you’ll get in less than 10 minutes, or view the showcase of personal, project, and business sites.

Features

Page builder - Create anything with widgets 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 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 - 34+ 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

Wowchemy and its templates come with automatic day (light) and night (dark) mode built-in. Alternatively, visitors can choose their preferred mode - click the moon icon in the top right of the Demo to see it in action! Day/night mode can also be disabled by the site admin in params.toml.

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

License

Released under the MIT license.

Hello R Markdown

Tue, 01 Dec 2020 21:13:14 -0500

R Markdown

This is an R Markdown document. Markdown is a simple formatting syntax for authoring HTML, PDF, and MS Word documents. For more details on using R Markdown see http://rmarkdown.rstudio.com.

You can embed an R code chunk like this:

summary(cars)
##      speed           dist       
##  Min.   : 4.0   Min.   :  2.00  
##  1st Qu.:12.0   1st Qu.: 26.00  
##  Median :15.0   Median : 36.00  
##  Mean   :15.4   Mean   : 42.98  
##  3rd Qu.:19.0   3rd Qu.: 56.00  
##  Max.   :25.0   Max.   :120.00
fit <- lm(dist ~ speed, data = cars)
fit
## 
## Call:
## lm(formula = dist ~ speed, data = cars)
## 
## Coefficients:
## (Intercept)        speed  
##     -17.579        3.932

Including Plots

You can also embed plots. See Figure 1 for example:

par(mar = c(0, 1, 0, 1))
pie(
  c(280, 60, 20),
  c('Sky', 'Sunny side of pyramid', 'Shady side of pyramid'),
  col = c('#0292D8', '#F7EA39', '#C4B632'),
  init.angle = -50, border = NA
)

Figure 1: A fancy pie chart.

Writing technical content in Academic

Fri, 12 Jul 2019 00:00:00 +0000

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

Highlight your code snippets, take notes on math classes, and draw diagrams from textual representation.

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

Examples

Code

Academic supports a Markdown extension for highlighting code syntax. You can enable this feature by toggling the highlight option in your config/_default/params.toml 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()

Charts

Academic supports the popular Plotly chart format.

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

Demo:

You might also find the Plotly JSON Editor useful.

Math

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

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

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

Diagrams

Academic supports a Markdown extension for diagrams. You can enable this feature by toggling the diagram option in your config/_default/params.toml file or by adding diagram: true to your page front matter.

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 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

An example class diagram:

```mermaid
classDiagram
Class01 <|-- AveryLongClass : Cool
<<interface>> Class01
Class09 --> C2 : Where am i?
Class09 --* C3
Class09 --|> Class07
Class07 : equals()
Class07 : Object[] elementData
Class01 : size()
Class01 : int chimp
Class01 : int gorilla
class Class10 {
  <<service>>
  int id
  size()
}
```

renders as

classDiagram
Class01 <|-- AveryLongClass : Cool
<<interface>> Class01
Class09 --> C2 : Where am i?
Class09 --* C3
Class09 --|> Class07
Class07 : equals()
Class07 : Object[] elementData
Class01 : size()
Class01 : int chimp
Class01 : int gorilla
class Class10 {
  <<service>>
  int id
  size()
}

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 --> [*]

Todo lists

You can even write your todo lists in Academic too:

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

renders as

Write math example
Write diagram example
Do something else

Tables

Represent your data in tables:

| First Header  | Second Header |
| ------------- | ------------- |
| Content Cell  | Content Cell  |
| Content Cell  | Content Cell  |

renders as

First Header	Second Header
Content Cell	Content Cell
Content Cell	Content Cell

Callouts

Academic supports a shortcode for callouts, also referred to as asides, hints, or alerts. 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.

Spoilers

Add a spoiler to a page to reveal text, such as an answer to a question, after a button is clicked.

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

renders as

Click to view the spoiler

You found me!

Icons

Academic enables you to use a wide range of icons from Font Awesome and Academicons in addition to emojis.

Here are some examples using the icon shortcode to render icons:

{{< icon name="terminal" pack="fas" >}} Terminal  
{{< icon name="python" pack="fab" >}} Python  
{{< icon name="r-project" pack="fab" >}} R

renders as

Terminal
Python
R

Display Jupyter Notebooks with Academic

Tue, 05 Feb 2019 00:00:00 +0000

from IPython.core.display import Image
Image('https://www.python.org/static/community_logos/python-logo-master-v3-TM-flattened.png')

print("Welcome to Academic!")

Welcome to Academic!

Install Python and JupyterLab

Install Anaconda which includes Python 3 and JupyterLab.

Alternatively, install JupyterLab with pip3 install jupyterlab.

Create or upload a Jupyter notebook

Run the following commands in your Terminal, substituting <MY-WEBSITE-FOLDER> and <SHORT-POST-TITLE> with the file path to your Academic website folder and a short title for your blog post (use hyphens instead of spaces), respectively:

mkdir -p <MY-WEBSITE-FOLDER>/content/post/<SHORT-POST-TITLE>/
cd <MY-WEBSITE-FOLDER>/content/post/<SHORT-POST-TITLE>/
jupyter lab index.ipynb

The jupyter command above will launch the JupyterLab editor, allowing us to add Academic metadata and write the content.

Edit your post metadata

The first cell of your Jupter notebook will contain your post metadata (front matter).

In Jupter, choose Markdown as the type of the first cell and wrap your Academic metadata in three dashes, indicating that it is YAML front matter:

---
title: My post's title
date: 2019-09-01

# Put any other Academic metadata here...
---

Edit the metadata of your post, using the documentation as a guide to the available options.

To set a featured image, place an image named featured into your post’s folder.

For other tips, such as using math, see the guide on writing content with Academic.

Convert notebook to Markdown

jupyter nbconvert index.ipynb --to markdown --NbConvertApp.output_files_dir=.

Example

This post was created with Jupyter. The orginal files can be found at https://github.com/gcushen/hugo-academic/tree/master/exampleSite/content/post/jupyter

Slides

Tue, 05 Feb 2019 00:00:00 +0000

Create slides in Markdown with Wowchemy

Wowchemy | Documentation

Features

Efficiently write slides in Markdown
3-in-1: Create, Present, and Publish your slides
Supports speaker notes
Mobile friendly slides

Controls

Next: Right Arrow or Space
Previous: Left Arrow
Start: Home
Finish: End
Overview: Esc
Speaker notes: S
Fullscreen: F
Zoom: Alt + Click
PDF Export: E

Code Highlighting

Inline code: variable

Code block:

porridge = "blueberry"
if porridge == "blueberry":
    print("Eating...")

Math

In-line math: $x + y = z$

Block math:

$$ f\left( x \right) = ;\frac{{2\left( {x + 4} \right)\left( {x - 4} \right)}}{{\left( {x + 4} \right)\left( {x + 1} \right)}} $$

Fragments

Make content appear incrementally

{{% fragment %}} One {{% /fragment %}}
{{% fragment %}} **Two** {{% /fragment %}}
{{% fragment %}} Three {{% /fragment %}}

Press Space to play!

One **Two** Three

A fragment can accept two optional parameters:

class: use a custom style (requires definition in custom CSS)
weight: sets the order in which a fragment appears

Speaker Notes

Add speaker notes to your presentation

{{% speaker_note %}}
- Only the speaker can read these notes
- Press `S` key to view
{{% /speaker_note %}}

Press the S key to view the speaker notes!

Themes

black: Black background, white text, blue links (default)
white: White background, black text, blue links
league: Gray background, white text, blue links
beige: Beige background, dark text, brown links
sky: Blue background, thin dark text, blue links

night: Black background, thick white text, orange links
serif: Cappuccino background, gray text, brown links
simple: White background, black text, blue links
solarized: Cream-colored background, dark green text, blue links

Custom Slide

Customize the slide style and background

{{< slide background-image="/media/boards.jpg" >}}
{{< slide background-color="#0000FF" >}}
{{< slide class="my-style" >}}

Custom CSS Example

Let’s make headers navy colored.

Create assets/css/reveal_custom.css with:

.reveal section h1,
.reveal section h2,
.reveal section h3 {
  color: navy;
}

Questions?

Ask

Documentation

Privacy Policy

Thu, 28 Jun 2018 00:00:00 +0100

…

Terms

Thu, 28 Jun 2018 00:00:00 +0100

…

An example journal article

Tue, 01 Sep 2015 00:00:00 +0000

Click the Cite button above to demo the feature to enable visitors to import publication metadata into their reference management software.

Create your slides in Markdown - click the Slides button to check out the example.

Supplementary notes can be added here, including code, math, and images.

An example conference paper

Mon, 01 Jul 2013 00:00:00 +0000

Click the Cite button above to demo the feature to enable visitors to import publication metadata into their reference management software.

Create your slides in Markdown - click the Slides button to check out the example.

Supplementary notes can be added here, including code, math, and images.

Mon, 01 Jan 0001 00:00:00 +0000

Shaobo Han

Lectures

Lecture Slides

Labs

Labs

Homework

Homework Assignments

Resources

Resources

Example Talk

Acoustic impulse event recognition over telecom fiber cables

To Know More

Weakly-supervised learning from ambient traffic data

To Know More

Eigenvalue-based method for earthquake sensing and localization

To Know More

Welcome to Wowchemy, the website builder for Hugo

Overview

Get Started

Crowd-funded open-source software

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

Ecosystem

Inspiration

Features

Themes

License

Hello R Markdown

R Markdown

Including Plots

Writing technical content in Academic

Examples

Code

Charts

Math

Diagrams

Todo lists

Tables

Callouts

Spoilers

Icons

Did you find this page helpful? Consider sharing it 🙌

Display Jupyter Notebooks with Academic

Install Python and JupyterLab

Create or upload a Jupyter notebook

Edit your post metadata

Convert notebook to Markdown

Example

Slides

Create slides in Markdown with Wowchemy

Features

Controls

Code Highlighting

Math

Fragments

Speaker Notes

Themes

Custom Slide

Custom CSS Example

Questions?

Privacy Policy

Terms

An example journal article

An example conference paper