研究成果

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RESEARCH ACHIEVEMENT
FOR ADVANCED
TECHNOLOGIES AND
APPLICATIONS FOR WIRELESS
NETWORKS
Sensor Node Platforms
2

Octopus modules were developed by NTHU

Octopus X:
CC2430 (or CC2431): 8-bit 8051 + CC2420
 8 KB RAM + 128 KB Flash

Octopus I: Compatible with MICAz
 Octopus II: Compatible with Tmote Sky

2015/4/8
Octopus X Platforms
3
Octopus X-A
(28mm*28mm)
Octopus X-C
(57mm*31mm)
Octopus X-B
(28mm*28mm)
USB Dongle
2015/4/8
Octopus X-Sensor Boards
4
Size: 28mm*18mm
Gyroscope+ Three axis
accelerometer )
Temperature sensor
Compass
2015/4/8
Summary of Octopus X
5
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



Octopus X can use Zigbee Stack for programming
Octopus X is of 2-Layer design to reduce production
cost
Octopus X can be not only programmed from USB
interface but also TI programming board.
RF range of Octopus X is up to 150 m
Expansion connector design on Octopus X provides a
user interface for sensor boards and dock
2015/4/8
Octopus II Platforms
6
Octopus II (65mm*31mm)
Sensor board (50mm*31mm)
Octopus II Block Diagram
2015/4/8
Octopus II Kernel – MSP430
7
Light Sensor
USB
Connector
USB Chip
MSP430
LEDs
Temperature
Sensor
CC2420
IEEE 802.15.4
Connector
16-bit MSP430 microcontroller core @8MHz
{48KB in-system programmable flash
10KB RAM
ADC 12-Bit 8 Channels}
USB
Batteries
Octopus II Features
8

MCU (MSP430F1611)





Radio (CC2420)








2.4GHz IEEE 802.15.4 compliant RF
Data rate (250Kbps)
RX (18.8mA), TX (17.4mA)
Programmable output power
RF range ~250m
Sensors


Flash Memory (48KB+256B)
RAM (10KB)
External Flash (1MB)
Five Power-Saving Modes
Humidity & Temperature sensor
Light sensors
50-Pin expansion connector
External DC power connector
Octopus II-Sensor Board
9
Sensor board

Sensors



Humidity & Temperature sensor
Light sensors
Gyroscope


Light sensors
Temperature sensor
Three axis accelerometer





Gyroscope
Integrated X- and Y- axis gyro
Selectable sensitivity
(1.5g/2g/4g/6g)
Low current consumption (600uA)
Sleep mode (3uA)
Low voltage operation (2.2V-3.6V)
High sensitivity (800mV/g @ 1.5g)
Three axis accelerometer
2015/4/8
Summary of Octopus II
10






Octopus II is of 2-Layer design to reduce production
cost
CC2420 RF Chip – compliant with IEEE 802.15.4 low
power protocol
MSP430 microcontroller – the most power saving microcontroller
Expandable flash memory –1 Mbytes
RF range of Octopus II is up to 500 m
Fully support TinyOS (an open source embedded system
widely used in the world)
2015/4/8
ECO: Wireless Sensor Node Platform
11


The world smallest wireless sensing platform
Features
1cm³, 2 grams include battery & antenna!
 10% volume of Mica2DOT
 RF: 1Mbps, 10 meters range
 Battery life: 4 Hrs (40mAh)

2015/4/8
Expandability
12
Eco VGA Camera
Eco Module Board
Top View
Side View
Camera
Battery
Eco
2015/4/8
適用於復健運動之
生理資訊追蹤及肢體互動系統
13

目的
復健的病患對例行性的復健練習動作有所倦怠
 復健的病患通常會無法正確的執行復健動作


解決方法

結合各種感測器,利用無線感測網路開發一套可以輔助
復健病患,和提供病患自我復健資訊給醫療人員的互動
式肢體感測系統系統
2015/4/8
系統設計
14

無線感測網路動作資料蒐集系統
利用微型化無線感測器(sensor node)蒐集動作資料,
病患動作執行無負擔
 高取樣頻率之無線感測網路,提高動作還原之正確性

動作還原
2015/4/8
應用情境示範
15
病患在家進行自主復健
Remote assisted physical rehabilitation
復健練習時間:2008/02/01
情境:爬樓梯
ECO
Sensor
動作:訓練重心往前並跨步100次
左腳上升正確次數:15次
右腳上升正確次數:86次
腳部最大彎曲角度
右腳:35度
左腳:10度
步態之腳底承受壓力圖表
左腳
右腳
Self-physical-rehabilitation System
爬樓梯測驗
Internet
測驗總積分:
60分
右腳上升:正確
左腳上升:不正確
復健遊戲
復健醫師專業診斷
2015/4/8
In-Situ Monitoring of Debris Flows

INSIDER: a multi-functional wireless sensor for
monitoring debris flows
 Wireless
battery-powered sensors sitting on riverbed
and drift with debris flow, while collecting data and
transmitting them wirelessly to base stations in real time
Debris Flow
COORDINATOR
COORDINATOR
INSIDERs
Debris Flow
Approaching!
Downstream
Inhabitants
Debris Flow
Approaching!
Downstream Inhabitants
2015/4/8
INSIDER Design

Based on Octopus II (MSP430, TI CC2420)
 Integrate
an ADXL330/335 accelerometer with ±3g
 2 D cell alkaline battery to work for 5 months
 2 comm. schedules for low power and high throughput
整合微軟SensorMap與土石流資訊
18
2015/4/8
Grid Computing
19

Taiwan UniGrid


Medicare Grid


A university Grid plaftorm in Taiwan
A Grid platform for Medicare services
Pisces

A P2P Meta-Grid System
2015/4/8
Taiwan Unigrid Services
20
2015/4/8
Summary of Taiwan Unigrid
21



The first Grid system designed by researches in
Taiwan.
Over 20 organizations join this project and forms a
large grid platform.
Provides a series of services and web-based user
interfaces for users to use its computing and storage
resources with ease.
2015/4/8
Medicare Grid Platform
22

Medicare Computation Grid Platform
 Fulfill
the computing requirements of hospitals and
Medicare services

Medicare Data Grid Platform
 Store
the EHR with efficient search and manipulation
capability

Medicare Grid Management System
 Standardize
the EHR and provide translation
mechanism for different format
2015/4/8
System Architecture
23
2015/4/8
Medicare Grid Services
24

Decision Support System
 Help
physicians or medical professionals to make better
decisions for treatment

Intelligent Mobile System
 Establish
an active RFID environment for context
acquisition of individuals, environment’s variables and
their associated values

Personal Health Protection System
 Developed
for measuring patients’ physiological
conditions under a convenient and comfortable
circumstance
2015/4/8
Summary of Medicare Grid
25



Integrate computing and storage resources to
form a Medicare-Grid platform and propose an
EHR sharing mechanism based on it.
More than 500,000 real EHR samples provided
by Taichung Veterans General Hospital are stored
in Medicare Grid platform.
Base on the Medicare Grid platform, three
Medicare applications has been developed to
improve the in-hospital medical services.
2015/4/8
Pisces: A P2P Meta-Grid System
26

Pisces is a P2P meta-grid system towards the
collaboration with automatic grids
 To
achieve the integration of distributed resources
among different grid systems

We propose a meta-grid framework based on the
super-peer network to form self-management
autonomies in Pisces
2015/4/8
System Architecture
27

A cross-grid layer built on top of existing autonomic
grid systems to realize the Grid-to-Grid federation
2015/4/8
Summary of Pisces
28



Pisces achieves the collaboration through the
federation of autonomic grid systems.
Pisces can harmonize autonomic grids without
bringing a heavy burden on existing grid systems.
The scalability of a grid federation can be
improved with the convergence of grid systems and
P2P paradigm.
2015/4/8
Videos Demo
29



Gesture Recognition System to Control Humanoid
Robot
EcoIMU and UltraMouse
Home Remote Control System
2015/4/8
Website
30

http://meeting.cs.nthu.edu.tw/top_university/index.
html
2015/4/8
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