Jang-Ping Sheu
Jang-Ping Sheu
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  • Wireless communications protocols for AIoT
  • Sensors and actuator networks for AIoT
  • Power consumption optimization in Wireless Sensor Networks
  • Drones/UAVs for aerial surveillance
  • D2D communication for emergency/disaster management
  • Body area network wearable indoor localization with deep learning model
  • Middleware for Fog/Edge infrastructures
  • Fog/Edge resources allocation
  • Low-power wide-area (LPWA) networks

  • Smart campus and smart cities applications
  • Big data analysis in AIoT
  • Big data processing with fog computing
  • Big data and AIoT data analysis
  • Big data and information integrity in AIoT
  • Scheduling for Fog/Edge infrastructures with machine learning algorithms
  • Fog/Edge storage allocation with clustering machine learning methods

UAV Networks and Applications(無人機網路及其應用)
  • UAV as a flying base-station, to enhance the capability of wireless network infrastructure
  • UAV as a relay node, to extend the communication range of the wireless network
  • UAV as mobile sensor, to collect environmental data from the area without deployed sensor
  • UAV as a gateway, to collect offline sensor data from sensors without backhaul connection
  • Optimization of the deployment and trajectory
  • Precise positioning for UAV flocking

Application of Deep Learning in Wireless Communications and Networking(深度學習在無線通訊和網路的應用)

  • Selection of optimal connection between UE and BS
  • Selection of optimal channel to avoid data collision
  • Optimal Resource allocation for UE of a BS
  • Optimal approach to offload mobile network to Wi-Fi
  • Optimal approach to allocate computing resource
  • Optimization for effectively packet forwarding
  • Automatic trajectory design and collision avoidance

Beyond 5G (後5G行動通訊網路)
  • Heterogeneous Networks (HetNet)
  • Coordinated Multi-Point (CoMP)
  • Massive MIMO
  • Multi-RAT
  • Small Cell Enhancement
  • Cloud-RAN
  • SDN-based Control Plane in 5G
  • Device to Device Communication(D2D)

Octopus無線感測器平台簡介(Introduction to WSN Platform "Octopus")
適用於復健運動之生理資訊追蹤及肢體互動系統(Physiological Information Tracking and Limb Interaction System for Rehabilitation Exercises)
人體姿勢辨識系統(The Gesture Recognition System)
結合自走車巡邏與定點監視器之遠端監控系統(The Remote Monitor System with Mobile Robots and Fixed Cameras)
[大學部專題]使用雙三軸加速度計模擬遊戲遙桿[Special Topic](Using Two Tri-axial Accelerometers to Simulate Game Sticks )
[大學部專題]遊戲實作-大空滾球王[Special Topic](Game Implementation)
無線感測網路之Time synchronization技術(Time synchronization for WSNs)
無線感測自走車相關影片(The Videos for Mobile Sensor Robots)

餐廳候位line bot
Kubernetes + Raspberry pi

[WSN 2018]Smart Parking
[WSN 2018]Smart Mirror Assistant
[WSN 2018]Fatigue Driving Detector
[WSN 2018]自動盆栽照顧自走車
[WSN 2018]自動打呼偵測器
[WSN 2018]動物間諜車
[WSN 2018]Music Mixer
[WSN 2018]Product Traceability System
[WSN 2018]智慧垃圾桶
[WSN 2018]智慧人臉辨識鎖
[WSN 2018]智慧居家警報器
[WSN 2018]Smart Thirst Lake for Wildlife
[WSN 2018]BLE Beacon Roll Call System
[WSN 2018]自動化溫室
[WSN 2018]第一人稱視角賽車

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