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鍾秉倫 Ping-Lun Chung 
             

[email protected]

教育背景

Chang Gung University, Sep 2016 - Present     

M.S. In Electrical Engineering , Departments of Electrical Engineering

National Ilan University, Sep 2012 - June 2016

B.S. In Electrical Engineering , Departments of Electrical Engineering & Computer Science

Xidian University, 07 July 2014 - 07 July 2014 

工作經歷

台灣微軟, July 2016 - July 2017

R&D - Intern in the MTC (Microsoft Technology Centers)

宜蘭文化局表演藝術科舞台監督助理,Sep 2015 - June2016

Support performer to finish the Performance with sound of music.

專長


Web

Frontend | HTML5 / CSS / JavaScript  Backend | Node.js / PHP / SQL


Python 

Deep Learning | Tensorflow & Keras 
Project | Raspberry pi


C#

MS Project | Kinect / Web Cam

IoT Map | UWP 


C / C++

IoT Project | Arduino 

IoT Project | Raspberry-Pi


Azure Service

Azure cloud solution 

專案


2017--EsunHackthon

We use Microsoft Cognitive Service to help Esun's project .

  • Face verification
  • Recognize emotions in images
  • 2017 EsunHackthon workshop presenter

2017 -- 上肢復健外骨骼裝置(金矽獎銅獎)

  • This work is mainly on designing a wearable exoskeleton device for upper-limb rehabilitation by the integration of network communication, mechatronics design, interactive webpage, and database management. 

The Exoskeleton Device for Upper-Limb Rehabilitation 

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2017-New Taipei City Senior Program Competition (AI Chat-Bot)
Projects 01 00@2x 9a5a97084c8e268ae3725d8e03654d1815ae2eb597b59c292ae4d0beffa7b703
  • Use Azure service to build the real-time object detection scenario.
  • User can search the new photo which is analyzed  with deep learning detection by chat-bot.
  • Raspberry Pi  combined with robotic operation system. 

2017-Microsoft Intern Project :ChatBot

  • A personal chatbot that can know your hobby and personal schedule.
  • Use Azure cognitive service to build the scenario with Face identify.
  • Taoyuan government assigns MTC using open-API to develop Taoyuan-Bot.

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2016 -- Microsoft Intern Project :
Real-time Hello Microsoft 

  • A realtime workflow for processing frames from a web camera to derive realtime crowd insights such as demographics, emotion and unique face counting.
  • Use Azure service to build the real-time scenario , such as IoT-Hub , Streaming , and PowerBI.


Hello Microsoft Demo 

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PowerBI Real-time Dashboard

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2016 -- Microsoft Intern Summer Project With IoT

The scenario about summer project is using Raspberry-Pi and Azure service to develop a IoT environment with house fire.

  • Sensor detect the temperature and humidity in order to real-time prevent fire .
  • Connect with fire department and notify user the fire situation.

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