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 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