Global Environmental MEMS Sensors (GEMS): Revolutionary Observing Technology for the 21st Century
|
|
|
- Rosamund Nichols
- 6 years ago
- Views:
Transcription
1 Global Environmental MEMS Sensors (GEMS): Revolutionary Observing Technology for the 21st Century NIAC Phase I CP John Manobianco, Randolph J. Evans, Jonathan L. Case, David A. Short ENSCO, Inc. Kristofer S.J. Pister University of California Berkeley October 2002
2 Briefing Outline Introduction / definitions Description Motivation Major feasibility issues Phase II plans Summary
3 What are MEMS? Micro Electro Mechanical Systems (MEMS) Micron-sized machines + IC Sample applications < 1 cm
4 GEMS Concept Integrated System of airborne probes MEMS sensors measure T, RH, P, & V (based on changes in probe position) Each probe self contained with power source to provide sensing, navigation, & communication Mobile, wireless network with communication among probes & with remote in situ stations, satellites Provide quantum leap in our understanding of the Earth s atmosphere Improve forecast accuracy well beyond current capability
5 Motivation ~$2 Trillion of U.S. economy is weather sensitive Produce observing capabilities commensurate with advances in atmospheric models Overcome limitations of remote sensing Improve density / distribution of in situ obs Shuttle Challenger Sept Jan Tropical Storm Allison (June 2001) Hurricane Floyd (Sept. 1999)
6 Major Feasibility Issues Probe design Power Navigation Communication Networking Sensor Environmental Deployment Dispersion Scavenging Data rate Data impact
7 Probe design Sensing Computation Communication Power
8 Moore s Law, take 2 Nanochips on a dime (Prof. Steve Smith, EECS)
9 Smart Dust project
10 Smart Dust control chip 330µm ambient light sensor Photodiode Sensor input ADC 100kS/s 2uW Power input Oscillator 13 state FSM controller TX Drivers 0-100kbps CCR or diode Power Optical Receiver 1 Mbps, 11uW 1mm Sensing: 20 pj/sample Computation: 10 pj/instruction Communication: 10 pj/bit (optical) 1000 pj/bit (RF)
11 Solar Cell Array CCR CMOS IC XL 4.8 mm 3 total displaced volume SENSORS ADC FSM PHOTO 8-bits RECEIVER 375 kbps TRANSMITTER 175 bps OPTICAL IN OPTICAL OUT 1V 1-2V 1V 1V 3-8V 2V SOLAR POWER
12 ~8mm 3 laser scanner Two 4-bit mechanical DACs control mirror scan angles. ~6 degrees azimuth, 3 elevation 1Mbps
13 RF probe in fab CMOS ASIC 8 bit microcontroller Custom interface circuits 4 external components antenna Temp RH up SRAM ~$1 Amp ADC Radio inductor ~2 mm^2 ASIC crystal battery
14 Technology Forecast 1 year - $50 node 3 cc, 1 month lifetime (battery) 1 helium balloon deployment 3 km communication range Temp, pressure, humidity 3 years - $5/node 1cc, 3 month lifetime (battery) Range/localization Gas sensing 10 years - $1/node 10 mm 3, 1month lifetime (Aluminum/air battery) Integrated bouyancy control 20 years - $0.10/node 1mm, indefinite lifetime (solar + hydrogen fuel cell) GPS/satellite comm
15 Simulation Tools Numerical weather prediction model Advanced Regional Prediction System (ARPS) Navier-Stokes equations for atmospheric flow Comprehensive physics Virtual weather scenarios Variable spatial & temporal resolution Lagrangian particle model Probe deployment & dispersion Simulate turbulence, terminal velocity, etc.
16 Observing System Simulation Experiments (OSSE) 15 June June Nature run ( Truth ) Simulated observations Control forecast Experiment 1 Data insertion window (assimilate simulated obs) Compare with nature & control run to assess data impact Experiments 2, 3, (Variations on Exp. 1)
17 Simulation Domains Deployment strategy: random in 3D Deployment period: 6 h from UTC Initial mean separation distance: 3.5 ± 1.3 km Terminal velocity: 0.08 m s -1 Initial 3D Probe Distribution > 15 km km km km km km < 2.5 km
18 Probe Deployment Statistics Number of Active Probes Probe Distribution by Time & Altitude Deployment Domain Time (hours) km km km km km 9-10 km 8-9 km 7-8 km 6-7 km 5-6 km 4-5 km 3-4 km 2-3 km 1-2 km Number of Active Probes Probe Distribution by Time & Altitude Assimilation Domain km km km km km 9-10 km 8-9 km 7-8 km 6-7 km 5-6 km 4-5 km 3-4 km 2-3 km 1-2 km Time (hours)
19 Simulation Results Nature 2-h Cumulative Precipitation (mm) 16-18Z 18-20Z 20-18Z 22-00Z Control Exp. 1
20 OSSE Statistics Grid-Averaged 2-hour Precipitation Precipitation (mm) Nature Control Exp. 1 Exp. 2 (No RH) Exp. 3 (No V) Exp. 4 (No T) Exp. 5 (Error) Exp. 6 (50% probes) Hours
21 Hemispheric Simulation Simulated release from stratospheric balloons every 10 o lat x 10 o lon Deployment: 1 probe every 6 min for 4 days (18-km altitude) Terminal velocity: 0.01 m s -1 Simulation: 10.5 days (15-25 June 2001) Total # of probes ~ 200,000 > 15 km km km km km km < 2.5 km
22 Phase II Plan Study major feasibility issues Explore multi-dimensional parameter space MEMS & meteorological disciplines System design & trade-offs Experimentation as appropriate / practical Develop detailed cost-benefit analysis Projected per unit & deployment cost Comparisons with future observing systems Continue extensive use of simulation Expand / enhance OSSEs to study data impact Study probe deployment, dispersion scenarios Develop technology roadmap & identify enabling technologies Continue building advocacy for sponsorship after Phase II
23 Summary Advanced concept description Mobile network of wireless, micron-scale airborne probes Define major feasibility issues Multi-dimensional parameter space MEMS / Engineering Meteorology Phase I results & Phase II plans
24 Acknowledgments NASA Institute for Advanced Concepts Phase I funding NASA Kennedy Space Center Weather Office Dr. Francis Merceret Chief, Applied Meteorology Unit Access to 32-processor LINUX cluster used for ARPS simulations Center for Analysis and Prediction of Storms University of Oklahoma manobianco.john@ensco.com
Global Environmental MEMS Sensors (GEMS): A Revolutionary Observing System for the 21st Century
Global Environmental MEMS Sensors (GEMS): A Revolutionary Observing System for the 21st Century John Manobianco, Joseph Dreher, Mark Adams, Randolph J. Evans, Jonathan L. Case, David A. Short ENSCO, Inc.
Microwave Radiometers for Small Satellites
Microwave Radiometers for Small Satellites Gregory Allan, Ayesha Hein, Zachary Lee, Weston Marlow, Kerri Cahoy MIT STAR Laboratory Daniel Cousins, William J. Blackwell MIT Lincoln Laboratory This work
Using the Radio Spectrum to Understand Space Weather
Using the Radio Spectrum to Understand Space Weather Ray Greenwald Virginia Tech Topics to be Covered What is Space Weather? Origins and impacts Analogies with terrestrial weather Monitoring Space Weather
Outline. GPS RO Overview. COSMIC Overview. COSMIC-2 Overview. Summary 9/29/16
Bill Schreiner and UCAR/COSMIC Team UCAR COSMIC Program Observation and Analysis Opportunities Collaborating with the ICON and GOLD Missions Sept 27, 216 GPS RO Overview Outline COSMIC Overview COSMIC-2
ECE Satellite Radar TRMM Precipitation Radar Cloud mm Radar - Cloudsat. Tropical Rainfall Measuring Mission
Tropical Rainfall Measuring Mission ECE 583 18 Satellite Radar TRMM Precipitation Radar Cloud mm Radar - Cloudsat -TRMM includes 1st spaceborne weather radar - performs cross-track scan to get 3-D view
Miniaturized In-Situ Plasma Sensors Applications for NSF Small Satellite program. Dr. Geoff McHarg
Miniaturized In-Situ Plasma Sensors Applications for NSF Small Satellite program Dr. Geoff McHarg National Science Foundation Small Satellite Workshop- CEDAR June 2007 FalconSat-3 Physics on a small satellite
Integration and Test of the Microwave Radiometer Technology Acceleration (MiRaTA) CubeSat
Integration and Test of the Microwave Radiometer Technology Acceleration (MiRaTA) CubeSat Kerri Cahoy, Gregory Allan, Ayesha Hein, Andrew Kennedy, Zachary Lee, Erin Main, Weston Marlow, Thomas Murphy MIT
Active and Passive Microwave Remote Sensing
Active and Passive Microwave Remote Sensing Passive remote sensing system record EMR that was reflected (e.g., blue, green, red, and near IR) or emitted (e.g., thermal IR) from the surface of the Earth.
Putting It All Together: Computer Architecture and the Digital Camera
461 Putting It All Together: Computer Architecture and the Digital Camera This book covers many topics in circuit analysis and design, so it is only natural to wonder how they all fit together and how
New Small Satellite Capabilities for Microwave Atmospheric Remote Sensing: The Earth Observing Nanosatellite- Microwave (EON-MW)
New Small Satellite Capabilities for Microwave Atmospheric Remote Sensing: The Earth Observing Nanosatellite- Microwave (EON-MW) W. Blackwell, D. Cousins, and L. Fuhrman MIT Lincoln Laboratory August 6,
The Role of Ground-Based Observations in M-I I Coupling Research. John Foster MIT Haystack Observatory
The Role of Ground-Based Observations in M-I I Coupling Research John Foster MIT Haystack Observatory CEDAR/GEM Student Workshop Outline Some Definitions: Magnetosphere, etc. Space Weather Ionospheric
The USU-GAIM Data Assimilation Models for Ionospheric Specifications and Forecasts
The USU-GAIM Data Assimilation Models for Ionospheric Specifications and Forecasts L. Scherliess, R. W. Schunk, L. C. Gardner, L. Zhu, J.V. Eccles and J.J Sojka Center for Atmospheric and Space Sciences
Australian Wind Profiler Network and Data Use in both Operational and Research Environments
Australian Wind Profiler Network and Data Use in both Operational and Research Environments Bronwyn Dolman 1,2 and Iain Reid 1,2 1 ATRAD Pty Ltd 20 Phillips St Thebarton South Australia www.atrad.com.au
EE C245 ME C218 Introduction to MEMS Design Fall 2010
Instructor: Prof. Clark T.-C. Nguyen EE C245 ME C218 Introduction to MEMS Design Fall 2010 Prof. Clark T.-C. Nguyen Dept. of Electrical Engineering & Computer Sciences University of California at Berkeley
PROCEEDINGS OF SPIE. Inter-satellite omnidirectional optical communicator for remote sensing
PROCEEDINGS OF SPIE SPIEDigitalLibrary.org/conference-proceedings-of-spie Inter-satellite omnidirectional optical communicator for remote sensing Jose E. Velazco, Joseph Griffin, Danny Wernicke, John Huleis,
Development of a High Temperature Venus Seismometer and Extreme Environment Testing Chamber
Development of a High Temperature Venus Seismometer and Extreme Environment Testing Chamber Gary W. Hunter, George E. Ponchak, Rodger W. Dyson, Glenn M. Beheim, Maximilian C. Scardelletti, and Roger D.
EE C245 ME C218 Introduction to MEMS Design
EE C245 ME C218 Introduction to MEMS Design Fall 2008 Prof. Clark T.-C. Nguyen Dept. of Electrical Engineering & Computer Sciences University of California at Berkeley Berkeley, CA 94720 Lecture 1: Definition
Profiling Radiometer for Atmospheric and Cloud Observations PRACO
Profiling Radiometer for Atmospheric and Cloud Observations PRACO Boulder Environmental Sciences and Technology BEST Small startup company, established in 2006 Focused on radiometry ground based and airborne
GNSS Ocean Reflected Signals
GNSS Ocean Reflected Signals Per Høeg DTU Space Technical University of Denmark Content Experimental setup Instrument Measurements and observations Spectral characteristics, analysis and retrieval method
RPG-MWR-PRO-TN Page 1 / 12 Radiometer Physics GmbH
Applications Tropospheric profiling of temperature, humidity and liquid water High-resolution boundary layer temperature profiles, better resolution than balloons Input for weather and climate models (data
SPACE. (Some space topics are also listed under Mechatronic topics)
SPACE (Some space topics are also listed under Mechatronic topics) Dr Xiaofeng Wu Rm N314, Bldg J11; ph. 9036 7053, Xiaofeng.wu@sydney.edu.au Part I SPACE ENGINEERING 1. Vision based satellite formation
Microwave Remote Sensing (1)
Microwave Remote Sensing (1) Microwave sensing encompasses both active and passive forms of remote sensing. The microwave portion of the spectrum covers the range from approximately 1cm to 1m in wavelength.
Presented at The 1st Space Exploration and Kibo Utilization for Asia Workshop Thursday, 28 May 2015, LAPAN Headquarters, Jakarta, Indonesia 1
Riza Muhida Presented at The 1st Space Exploration and Kibo Utilization for Asia Workshop Thursday, 28 May 2015, LAPAN Headquarters, Jakarta, Indonesia 1 Presentation Outline Abstract Background Objective
Embedded Sensors. We can offer you complete solutions for intelligent integrated sensor systems.
FRAUNHOFER-Institute For integrated Circuits IIS INTEGRATED CIRCUITS AND SYSTEMS ICS FROM AN IDEA TO A FINISHED PRODUCT WE ARE: CUSTOMER- ORIENTED PROFESSIONAL TIME-TO-MARKET- FOCUSED NETWORKED WE OFFER:
3/31/03. ESM 266: Introduction 1. Observations from space. Remote Sensing: The Major Source for Large-Scale Environmental Information
Remote Sensing: The Major Source for Large-Scale Environmental Information Jeff Dozier Observations from space Sun-synchronous polar orbits Global coverage, fixed crossing, repeat sampling Typical altitude
Study of MEMS Devices for Space Applications ~Study Status and Subject of RF-MEMS~
Study of MEMS Devices for Space Applications ~Study Status and Subject of RF-MEMS~ The 26 th Microelectronics Workshop October, 2013 Maya Kato Electronic Devices and Materials Group Japan Aerospace Exploration
Feature-level Compensation & Control
Feature-level Compensation & Control 2 Sensors and Control Nathan Cheung, Kameshwar Poolla, Costas Spanos Workshop 11/19/2003 3 Metrology, Control, and Integration Nathan Cheung, UCB SOI Wafers Multi wavelength
Passive Microwave Sensors LIDAR Remote Sensing Laser Altimetry. 28 April 2003
Passive Microwave Sensors LIDAR Remote Sensing Laser Altimetry 28 April 2003 Outline Passive Microwave Radiometry Rayleigh-Jeans approximation Brightness temperature Emissivity and dielectric constant
EE C245 ME C218 Introduction to MEMS Design Fall 2007
EE C245 ME C218 Introduction to MEMS Design Fall 2007 Prof. Clark T.-C. Nguyen Dept. of Electrical Engineering & Computer Sciences University of California at Berkeley Berkeley, CA 94720 Lecture 1: Definition
Lecture Notes Prepared by Prof. J. Francis Spring Remote Sensing Instruments
Lecture Notes Prepared by Prof. J. Francis Spring 2005 Remote Sensing Instruments Material from Remote Sensing Instrumentation in Weather Satellites: Systems, Data, and Environmental Applications by Rao,
Spatially Resolved Backscatter Ceilometer
Spatially Resolved Backscatter Ceilometer Design Team Hiba Fareed, Nicholas Paradiso, Evan Perillo, Michael Tahan Design Advisor Prof. Gregory Kowalski Sponsor, Spectral Sciences Inc. Steve Richstmeier,
Table 9-1 Operating characteristics of upper-air meteorological monitoring systems. BOUNDARY LAYER VARIABLES RADIOSONDE DOPPLER SODAR
Table 9-1 VARIABLES p, T, RH Vector winds (WS, WD) Vector winds (WS, WD) Virtual temperature (T v ) Measured Vector winds (WS, WD) u,v,w wind components u,v,w wind components w wind component Altitude
SMART SENSORS AND MEMS
2 SMART SENSORS AND MEMS Dr. H. K. Verma Distinguished Professor (EEE) Sharda University, Greater Noida (Formerly: Deputy Director and Professor of Instrumentation Indian Institute of Technology Roorkee)
The Mote Revolution: Low Power Wireless Sensor Network Devices
The Mote Revolution: Low Power Wireless Sensor Network Devices University of California, Berkeley Joseph Polastre Robert Szewczyk Cory Sharp David Culler The Mote Revolution: Low Power Wireless Sensor
Weather Radar Systems. General Description
General Description Our weather radars are designed for precipitation monitoring at both regional and urban scales. They can be advantageously used as gap filler of existing radar networks particularly
ISSCC 2006 / SESSION 20 / WLAN/WPAN / 20.5
20.5 An Ultra-Low Power 2.4GHz RF Transceiver for Wireless Sensor Networks in 0.13µm CMOS with 400mV Supply and an Integrated Passive RX Front-End Ben W. Cook, Axel D. Berny, Alyosha Molnar, Steven Lanzisera,
Modelling GPS Observables for Time Transfer
Modelling GPS Observables for Time Transfer Marek Ziebart Department of Geomatic Engineering University College London Presentation structure Overview of GPS Time frames in GPS Introduction to GPS observables
EECS150 - Digital Design Lecture 28 Course Wrap Up. Recap 1
EECS150 - Digital Design Lecture 28 Course Wrap Up Dec. 5, 2013 Prof. Ronald Fearing Electrical Engineering and Computer Sciences University of California, Berkeley (slides courtesy of Prof. John Wawrzynek)
UCB Picocube A modular approach to miniature wireless 1 cm μw P avg
switch/power board Magnetic shaker uc board radio board sensor board UCB Picocube A modular approach to miniature wireless 1 cm 3 6-10 μw P avg Energy-scavenged pressure, temp and acceleration (3D) sensor
Integration Platforms Towards Wafer Scale
Integration Platforms Towards Wafer Scale Alic Chen, WeiWah Chan,Thomas Devloo, Giovanni Gonzales, Christine Ho, Mervin John, Jay Kaist,, Deepa Maden, Michael Mark, Lindsay Miller, Peter Minor, Christopher
Community Perspective: GeoSpace Observations and Analysis
Community Perspective: GeoSpace Observations and Analysis Prof. Jeff Thayer Aerospace Engineering Sciences Department OBSERVATION AND ANALYSIS OPPORTUNITIES COLLABORATING WITH THE ICON AND GOLD MISSIONS,
Low Power Communication Circuits for WSN
Low Power Communication Circuits for WSN Nate Pletcher, Prof. Jan Rabaey, (B. Otis, Y.H. Chee, S. Gambini, D. Guermandi) Berkeley Wireless Research Center Towards A Micropower Integrated Node power management
Data assimilation of FORMOSAT-3/COSMIC using NCAR Thermosphere Ionosphere Electrodynamic General Circulation Model (TIE-GCM)
Session 2B-03 5 th FORMOSAT-3 / COSMIC Data Users Workshop & ICGPSRO 2011 Data assimilation of FORMOSAT-3/COSMIC using NCAR Thermosphere Ionosphere Electrodynamic General Circulation Model (TIE-GCM) I
Design of a Free Space Optical Communication Module for Small Satellites
Design of a Free Space Optical Communication Module for Small Satellites Ryan W. Kingsbury, Kathleen Riesing Prof. Kerri Cahoy MIT Space Systems Lab AIAA/USU Small Satellite Conference August 6 2014 Problem
Variational bias correction of GNSS ZTD in the HARMONIE modeling system
Variational bias correction of GNSS ZTD in the HARMONIE modeling system J. Sánchez (AEMET), M. Lindskog (SMHI), S. Thorsteinsson (IMO), J. Bojarova (Met.No) Jana Sánchez Arriola NWP Dep. AEMET jsancheza
Demand Response: Passive Proximity Electric Sensing EECS Department and the Berkeley Sensor & Actuator Center (BSAC)
Demand Response: Passive Proximity Electric Sensing EECS Department and the Berkeley Sensor & Actuator Center (BSAC) Technology to enable California households to modify their energy use during periods
Microwave Remote Sensing
Provide copy on a CD of the UCAR multi-media tutorial to all in class. Assign Ch-7 and Ch-9 (for two weeks) as reading material for this class. HW#4 (Due in two weeks) Problems 1,2,3 and 4 (Chapter 7)
SMART COMMUNICATION SATELLITE (SCS) PROJECT OVERVIEW. Jin JIN Space Center, Tsinghua University 2015/8/10
SMART COMMUNICATION SATELLITE (SCS) PROJECT OVERVIEW Jin JIN Space Center, Tsinghua University 2015/8/10 OUTLINE Overview System Scheme Technical Challenges Flight Results Future 2 1 Overview Tsinghua
DYNAMIC IONOSPHERE CUBESAT EXPERIMENT
Geoff Crowley, Charles Swenson, Chad Fish, Aroh Barjatya, Irfan Azeem, Gary Bust, Fabiano Rodrigues, Miguel Larsen, & USU Student Team DYNAMIC IONOSPHERE CUBESAT EXPERIMENT NSF-Funded Dual-satellite Space
ELDES / METEK Weather Radar Systems. General Description
General Description Our weather radars are designed for precipitation monitoring at both regional and urban scales. They can be advantageously used as gap fillers of existing radar networks particularly
Geoff Crowley, Chad Fish, Charles Swenson, Gary Bust, Aroh Barjatya, Miguel Larsen, and USU Student Team
Geoff Crowley, Chad Fish, Charles Swenson, Gary Bust, Aroh Barjatya, Miguel Larsen, and USU Student Team NSF-Funded Dual-satellite Space Weather Mission Project Funded October 2009 (6 months ago) 1 2 11
Fachbereich Informatik und Elektrotechnik Ubicomp. Ubiquitous Computing. Ubiquitous Computing, Helmut Dispert
Ubicomp Ubiquitous Computing Ubicomp Ubiquitous Computing PicoCube Concept e-cube Concept Ubicomp Picocube: A 1cm3 Sensor Node Powered by Harvested Energy Yuen-Hui Chee, Mike Koplow, Michael Mark, Nathan
Ultra-small, economical and cheap radar made possible thanks to chip technology
Edition March 2018 Radar technology, Smart Mobility Ultra-small, economical and cheap radar made possible thanks to chip technology By building radars into a car or something else, you are able to detect
Active and Passive Microwave Remote Sensing
Active and Passive Microwave Remote Sensing Passive remote sensing system record EMR that was reflected (e.g., blue, green, red, and near IR) or emitted (e.g., thermal IR) from the surface of the Earth.
Wireless Technology for Aerospace Applications. June 3 rd, 2012
Wireless Technology for Aerospace Applications June 3 rd, 2012 OUTLINE The case for wireless in aircraft and aerospace applications System level limits of wireless technology Security Power (self powered,
Smart Street Light System using Embedded System
Smart Street Light System using Embedded System Yash Chaurasia yash10chaurasia@gmail.com Shailendra Somani Shailendra.somani13@vit.edu Siddhesh Bangade Siddhesh.bangade13@vit.edu Ajay Kumar VITPune, Ajaykumark426@gmail.com
Wireless Power Transmission of Solar Energy from Space to Earth Using Microwaves
Wireless Power Transmission of Solar Energy from Space to Earth Using Microwaves Raghu Amgothu Contract Lecturer in ECE Dept., Government polytechnic Warangal Abstract- In the previous stages, we are studying
Space Weather and the Ionosphere
Dynamic Positioning Conference October 17-18, 2000 Sensors Space Weather and the Ionosphere Grant Marshall Trimble Navigation, Inc. Note: Use the Page Down key to view this presentation correctly Space
Acknowledgment. Process of Atmospheric Radiation. Atmospheric Transmittance. Microwaves used by Radar GMAT Principles of Remote Sensing
GMAT 9600 Principles of Remote Sensing Week 4 Radar Background & Surface Interactions Acknowledgment Mike Chang Natural Resources Canada Process of Atmospheric Radiation Dr. Linlin Ge and Prof Bruce Forster
Global System For Monitoring Earth Radiation Balance
Global System For Monitoring Earth Radiation Balance Presentation to NIAC Fellows Meeting 19 October 2004 Seattle, WA Aaron Buys, John Vander Weide, and Llian Breen Dr. Matthew K. Heun Calvin College,
CubeSat Proximity Operations Demonstration (CPOD) Vehicle Avionics and Design
CubeSat Proximity Operations Demonstration (CPOD) Vehicle Avionics and Design August CubeSat Workshop 2015 Austin Williams VP, Space Vehicles CPOD: Big Capability in a Small Package Communications ADCS
Advances in Planetary Seismology Using Infrasound and Airglow Signatures on Venus
Advances in Planetary Seismology Using Infrasound and Airglow Signatures on Venus 1 Attila Komjathy, 1 Siddharth Krishnamoorthy 1 James Cutts, 1 Michael Pauken,, 1 Sharon Kedar, 1 Suzanne Smrekar, 1 Jeff
Riza Muhida. Presented at he 22nd Session of the Asia Pacific Regional Space Agency Forum (APRSAF 22), Bali, Indonesia, December 1 4, 2015
Riza Muhida Presented at he 22nd Session of the Asia Pacific Regional Space Agency Forum (APRSAF 22), Bali, Indonesia, December 1 4, 2015 1 Presentation Outline Abstract Background Objective Project Scope
RPG-HATPRO-G5 series High-precision microwave radiometers for continuous atmospheric profi ling
High-precision microwave radiometers for continuous atmospheric profi ling Applications Tropospheric Profiling of temperature, humidity, and liquid water Water Vapour Monitoring e.g. at astronomical sites
Feasibility of MEMS Vibration Energy Harvesting for High Temperature Sensing
Energy Harvesting 2015 Feasibility of MEMS Vibration Energy Harvesting for High Temperature Sensing Steve Riches GE Aviation Systems Newmarket Ashwin Seshia University of Cambridge Yu Jia University of
Switched-Capacitor Converters: Big & Small. Michael Seeman Ph.D. 2009, UC Berkeley SCV-PELS April 21, 2010
Switched-Capacitor Converters: Big & Small Michael Seeman Ph.D. 2009, UC Berkeley SCV-PELS April 21, 2010 Outline Problem & motivation Applications for SC converters Switched-capacitor fundamentals Power
CGMS-37, NOAA-WP-33 Prepared by NOAA Agenda Item: IV/1 Discussed in WG IV
Prepared by NOAA Agenda Item: IV/1 Discussed in WG IV NOAA-WP-33 provides a status of its Geostationary Operational Environmental Satellite Series R (GOES-R). and polar-orbiting satellite constellations.
The Cassini Radio and Plasma Wave Science Instrument
The Cassini Radio and Plasma Wave Science Instrument Roger Karlsson Space Research Institute of the Austrian Academy of Sciences, Graz Graz in Space, September 7, 2006 The Cassini Radio and Plasma Wave
DEVELOPMENT AND IMPLEMENTATION OF AN ATTENUATION CORRECTION ALGORITHM FOR CASA OFF THE GRID X-BAND RADAR
DEVELOPMENT AND IMPLEMENTATION OF AN ATTENUATION CORRECTION ALGORITHM FOR CASA OFF THE GRID X-BAND RADAR S98 NETWORK Keyla M. Mora 1, Leyda León 1, Sandra Cruz-Pol 1 University of Puerto Rico, Mayaguez
Lecture Introduction
Lecture 1 6.012 Introduction 1. Overview of 6.012 Outline 2. Key conclusions of 6.012 Reading Assignment: Howe and Sodini, Chapter 1 6.012 Electronic Devices and Circuits-Fall 200 Lecture 1 1 Overview
On Discriminating CubeSats Launched Together
On Discriminating CubeSats Launched Together Michael Cousins SRI International 2008 CubeSat Developer s Workshop San Luis Obispo, California 1 CubeSat Discrimination Scope: Discuss and explore the problem
POINTING ERROR CORRECTION FOR MEMS LASER COMMUNICATION SYSTEMS
POINTING ERROR CORRECTION FOR MEMS LASER COMMUNICATION SYSTEMS Baris Cagdaser, Brian S. Leibowitz, Matt Last, Krishna Ramanathan, Bernhard E. Boser, Kristofer S.J. Pister Berkeley Sensor and Actuator Center
Remote Sensing for Epidemiological Studies
Remote Sensing for Epidemiological Studies Joint ICTP-IAEA Conference on Predicting Disease Patterns According to Climate Changes The Abdus Salam International Centre for Theoretical Physics 12-14 May
Scientific Studies of the High-Latitude Ionosphere with the Ionosphere Dynamics and ElectroDynamics - Data Assimilation (IDED-DA) Model
DISTRIBUTION STATEMENT A. Approved for public release; distribution is unlimited. Scientific Studies of the High-Latitude Ionosphere with the Ionosphere Dynamics and ElectroDynamics - Data Assimilation
An overview of the COSMIC follow-on mission (COSMIC-II) and its potential for GNSS-R
An overview of the COSMIC follow-on mission (COSMIC-II) and its potential for GNSS-R Lidia Cucurull (1), Dave Ector (2), and Estel Cardellach (3) (1) NOAA/NWS/NCEP/EMC (2) NOAA/NESDIS/OSD (3) IEEC/ICE-CSIC
Lecture Wrap up. December 13, 2005
6.012 Microelectronic Devices and Circuits Fall 2005 Lecture 26 1 Lecture 26 6.012 Wrap up December 13, 2005 Contents: 1. 6.012 wrap up Announcements: Final exam TA review session: December 16, 7:30 9:30
PEGASUS : a future tool for providing near real-time high resolution data for disaster management. Lewyckyj Nicolas
PEGASUS : a future tool for providing near real-time high resolution data for disaster management Lewyckyj Nicolas nicolas.lewyckyj@vito.be http://www.pegasus4europe.com Overview Vito in a nutshell GI
Enabling Space Sensor Networks with PCBSat
Enabling Space Sensor Networks with David J. Barnhart, Tanya Vladimirova, Martin Sweeting Surrey Space Centre Richard Balthazor, Lon Enloe, L. Habash Krause, Timothy Lawrence, Matthew McHarg United States
SNIPE mission for Space Weather Research. CubeSat Developers Workshop 2017 Jaejin Lee (KASI)
SNIPE mission for Space Weather Research CubeSat Developers Workshop 2017 Jaejin Lee (KASI) New Challenge with Nanosatellites In observing small-scale plasma structures, single satellite inherently suffers
Integration of Optoelectronic and RF Devices for Applications in Optical Interconnect and Wireless Communication
Integration of Optoelectronic and RF Devices for Applications in Optical Interconnect and Wireless Communication Zhaoran (Rena) Huang Assistant Professor Department of Electrical, Computer and System Engineering
SSP Implementation: GEO vs. LEO. Reza Zekavat
SSP Implementation: GEO vs. LEO Reza Zekavat 1 GEO Orbit SBSP Cost? Maintenance? Environmental? Solar storm? 2 Installa1on and Launching Costs GEO: 35786 km (22300 Mile) Interna1onal Space Sta1on: 278
Photonic Crystal Slot Waveguide Spectrometer for Detection of Methane
Photonic Crystal Slot Waveguide Spectrometer for Detection of Methane Swapnajit Chakravarty 1, Wei-Cheng Lai 2, Xiaolong (Alan) Wang 1, Che-Yun Lin 2, Ray T. Chen 1,2 1 Omega Optics, 10306 Sausalito Drive,
Remote Sensing 1 Principles of visible and radar remote sensing & sensors
Remote Sensing 1 Principles of visible and radar remote sensing & sensors Nick Barrand School of Geography, Earth & Environmental Sciences University of Birmingham, UK Field glaciologist collecting data
Wind Imaging Spectrometer and Humidity-sounder (WISH): a Practical NPOESS P3I High-spatial Resolution Sensor
Wind Imaging Spectrometer and Humidity-sounder (WISH): a Practical NPOESS P3I High-spatial Resolution Sensor Jeffery J. Puschell Raytheon Space and Airborne Systems, El Segundo, California Hung-Lung Huang
Relative Navigation, Timing & Data. Communications for CubeSat Clusters. Nestor Voronka, Tyrel Newton
Relative Navigation, Timing & Data Communications for CubeSat Clusters Nestor Voronka, Tyrel Newton Tethers Unlimited, Inc. 11711 N. Creek Pkwy S., Suite D113 Bothell, WA 98011 425-486-0100x678 voronka@tethers.com
THE OPS-SAT NANOSATELLITE MISSION
THE OPS-SAT NANOSATELLITE MISSION Aerospace O.Koudelka, TU Graz M.Wittig MEW Aerospace D.Evans ESA 1 Contents 1) Introduction 2) ESA s OPS-SAT Mission 3) System Design 4) Communications Experiments 5)
HYDROS Development of a CubeSat Water Electrolysis Propulsion System
HYDROS Development of a CubeSat Water Electrolysis Propulsion System Vince Ethier, Lenny Paritsky, Todd Moser, Jeffrey Slostad, Robert Hoyt Tethers Unlimited, Inc 11711 N. Creek Pkwy S., Suite D113, Bothell,
Application of radiative transfer to slanted line-of-sight geometry and comparisons with NASA EOS Aqua data
Application of radiative transfer to slanted line-of-sight geometry and comparisons with NASA EOS Aqua data Paul Poli (1), Joanna Joiner (2), and D. Lacroix (3) 1 Centre National de Recherches Météorologiques
DN 16 ISO-KF. Dimensional drawings THERMOVAC TM 101 (mm)
Products Handheld Measuring Instruments Digital PIEZOVAC Sensor PV 101 Digital THERMOVAC Sensor TM 101 The digital compact PIEZOVAC PV 101 and THERMOVAC TM 101 combine high-quality sensor technology with
GeoRadar Division. Geosystems BU A HISTORY OF PROVIDING HIGH TECHNOLOGY. IDS s Pisa Headquarters
A HISTORY OF PROVIDING HIGH TECHNOLOGY IDS s Pisa Headquarters Geology and Environment IBIS-FL and IBIS-FMT, a dedicated configuration to enter into monitoring of landslides and mining market IBIS-FL:
Radar Reprinted from "Waves in Motion", McGourty and Rideout, RET 2005
Radar Reprinted from "Waves in Motion", McGourty and Rideout, RET 2005 What is Radar? RADAR (Radio Detection And Ranging) is a way to detect and study far off targets by transmitting a radio pulse in the
Interference Detection and Localisation within GEMS II. Ediz Cetin, Ryan J. R. Thompson and Andrew G. Dempster
Interference Detection and Localisation within GEMS II Ediz Cetin, Ryan J. R. Thompson and Andrew G. Dempster GNSS Environmental Monitoring System (GEMS) ARC Linkage Project between: GEMS I : Comprehensively
From Single to Formation Flying CubeSats: An Update of the Delfi Programme
From Single to Formation Flying CubeSats: An Update of the Delfi Programme Jian Guo, Jasper Bouwmeester & Eberhard Gill 1 Outline Introduction Delfi-C 3 Mission Delfi-n3Xt Mission Lessons Learned DelFFi
Short Distance Wireless and Its Opportunities
Short Distance Wireless and Its Opportunities Jan M. Rabaey Fred Burghardt, Yuen-Hui Chee, David Chen, Luca De Nardis, Simone Gambini,, Davide Guermandi, Michael Mark, and Nathan Pletcher BWRC, EECS Dept.
2009 CubeSat Developer s Workshop San Luis Obispo, CA
Exploiting Link Dynamics in LEO-to-Ground Communications 2009 CubeSat Developer s Workshop San Luis Obispo, CA Michael Caffrey mpc@lanl.gov Joseph Palmer jmp@lanl.gov Los Alamos National Laboratory Paper
CHOMPTT (CubeSat Handling of Multisystem Precision Timing Transfer): From Concept to Launch Pad
CHOMPTT (CubeSat Handling of Multisystem Precision Timing Transfer): From Concept to Launch Pad SmallSat 2017 : August, 6 th 2017 Presenter: Seth Nydam 2 Watson Attai 1, Nathan Barnwell 2, Maria Carrasquilla
EE 232 Lightwave Devices. Course Information (1)
EE 232 Lightwave Devices Lecture 1: Introduction Instructor: Ming C. Wu University of California, Berkeley Electrical Engineering and Computer Sciences Dept. EE232 Lecture 1-1 Course Information (1) Website
Lauri Wirola Location and Commerce, Nokia ICL-GNSS 2011, 29-June-2011
Lauri Wirola Location and Commerce, Nokia ICL-GNSS 2011, 29-June-2011 Outline case for standardized location technologies location standards categories brief history current state and deployment status
The Mote Revolution: Low Power Wireless Sensor Network Devices
The Mote Revolution: Low Power Wireless Sensor Network Devices University of California, Berkeley Joseph Polastre Robert Szewczyk Cory Sharp David Culler The Mote Revolution: Low Power Wireless Sensor
Measurements and Metrology for 5G
Measurements and Metrology for 5G Nada Golmie Wireless Networks Division Communications Technology National Institute of Standards and Technology NIST s Communication Technology - Mission Material Measurement