Project

# Title Team Members TA Documents Sponsor
38 VEHICULAR EDGE COMPUTING SYSTEM
 Mingjun Wei
Shaohua Sun
Ye Yang
Yinjie Ruan
 design_document1.pdf
design_document2.pdf
proposal1.pdf
proposal2.pdf
 Meng Zhang
# TEAM MEMBERS
- Shaohua Sun (shaohua6)
- Ye Yang (yeyang3)
- Mingjun Wei (mingjun9)
- Yinjie Ruan (yinjier2)

# VEHICULAR EDGE COMPUTING SYSTEM

# PROBLEM:

As more and more research has been conducted on mobile edge computing, we propose that a mobile edge computing server in application can be deployed on-board a vehicle. But when performing tasks, the server will heat up very quickly and traditionally, the air-conditioner is needed. We try to avoid the use of air-conditioner, but put the server exposed to the air.

# SOLUTION OVERVIEW:

The vehicular mobile edge computing server is designed with a general server installed on-board vehicle. To make full use of the server, it will be accessed to the Internet and realize functionalities according to the existing theory of edge computing. To solve the problem of heating when performing intensive computational tasks, we utilize the wind to cool it down while designing waterproof to protect the server from rain.

# SOLUTION COMPONENTS:

## Modules on Waterproof and Shelter:

- The waterproof: To protect the server from rain or snow.

- The shelter: To carry the server with high stability.

- The airpath on the shelter: To utilize the wind to cool down the server effectively, even in relatively low car speed.

## Server Modules:

- The wireless communication access to the Internet.

- The server can perform relatively complex tasks like deep learning effectively.


# CRITERION FOR SUCCESS:

- Functionality: The mobile edge computing server can do computation tasks in the complexity level of deep learning, and access to the Internet to send or receive data. The waterproof and shelter should be stable and firm to fasten the server and protect it from rain. Also it can dissipate heat effectively.

- User experience: The user can get real-time access via the Internet and enjoy plentiful services like online video, etc.

- Durability and stability: The server needs to maintain a stable access to the Internet, and it can be used in rainy environment.

# DISTRIBUTION OF WORK:

- ME STUDENT SHAOHUA SUN:

Design how to set a waterproof.

- ME STUDENT YE YANG:

Design how the shelter can be breathable to cool down the server.

- EE STUDENT MINGJUN WEI:

Model a mobile edge computing server being able to take complex computing tasks.

- EE STUDENT YINJIE RUAN:

Make the edge computing server connected to the Internet.

Intelligent Texas Hold 'Em Robot

Xuming Chen, Jingshu Li, Yiwei Wang, Tong Xu

Featured Project

## Problem

Due to the severe pandemic of COVID-19, people around the world have to keep a safe social distance and to avoid big parties. As one of famous Poker games in the western world, the Texas Hold’em is also influenced by the pandemic and tends to turn to online game platform, which, unfortunately, brings much less real excites and fun to its players. We hope to develop a product to assist Poker players to get rid of the limit of time and space, trying to let them enjoy card games just as before the pandemic.

## Solution Overview

Our solution is to develop an Intelligent Texas Hold’em robot, which can make decisions in real Texas poker games. The robot is expected to play as an independent real player and make decisions in game. It means the robot should be capable of getting the information of public cards and hole cards and making the best possible decisions for betting to get as many chips as possible.

## Solution Components

-A Decision Model Based on Multilayer Neural Network

-A Texas Hold'em simulation model which based on traditional probabilistic models used for generating training data which are used for training the decision model

-A module of computer vision enabling game AI to recognize different faces and suits of cards and to identify the game situation on the table.

-A manipulation robot hand which is able to pick, hold and rotate cards.

-Several Cameras helping to movement of robot hand and the location of cards.

## Criterion for Success

- Training a decision model for betting using deep learning techniques (mainly reinforcement learning).

- Using cv technology to transform the information of public cards and hole cards and the chips of other players to valid input to the decision-making model.

- Using speech recognition technology to recognize other players’ actions for betting as valid input to the decision model.

Using the PTZ to realize the movement of the cameras which are used to capture the information of pokers and chips.

- Finish the mechanical design of an interactive robot, which includes actions like draw cards, move cards to camera, move chips and so on. Utilize MCU to control the robot.

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