Analyzing a Speech Body…….




  1. See what a full speech body looks like in order to identify major components of the speech body.

Smart Dust Speech Body

To help us understand smart dust, we will begin by first examining what smart dust is. Dr. Kris Pister, a professor in the robotics lab at the University of California at Berkeley, originally conceived the idea of smart dust in 1998 as part of a project funded by the Defense Advanced Research Projects Agency (DARPA). According to a 2001 article written by Bret Warneke, Matt Last, Brian Liebowitz, and Kris Pister titled “Smart Dust: Communicating with a Cubic-Millimeter Computer” published in Computer, Pister’s goal was to build a device that contained a built-in sensor, communication device, and a small computer that could be integrated into a cubic millimeter package. For comparison purposes, Doug Steel, in a 2005 white paper titled “Smart Dust” written for C. T. Bauer College of Business at the University of Houston, noted that a single grain of rice has a volume of five cubic millimeters. Each individual piece of dust, called a mote, would then have the ability to interact with other motes and supercomputers. As Steve Lohr wrote in the January 30, 2010, edition of theNew York Times in an article titled “Smart Dust? Not Quite, but We’re Getting There,” smart dust could eventually consist of “tiny digital sensors, strewn around the globe, gathering all sorts of information and communicating with powerful computer networks to monitor, measure, and understand the physical world in new ways.”

Now that we’ve examined what smart dust is, let’s switch gears and talk about some of the military applications for smart dust. Because smart dust was originally conceptualized under a grant from DARPA, military uses of smart dust have been widely theorized and examined. According to the Smart Dust website, smart dust could eventually be used for “battlefield surveillance, treaty monitoring, transportation monitoring, scud hunting” and other clear military applications. Probably the number one benefit of smart dust in the military environment is its surveillance abilities. Major Scott Dickson in a Blue Horizons Paper written for the Center for Strategy and Technology for the United States Air Force Air War College, sees smart dust as helping the military in battlespace awareness, homeland security, and weapons of mass destruction (WMD) identification. Furthermore, Major Dickson also believes it may be possible to create smart dust that has the ability to defeat communications jamming equipment created by foreign governments, which could help the US military to not only communicate among itself, but could also increase communications with civilians in military combat zones. On a much larger scale, smart dust could even help the US military and NASA protect the earth. According to a 2010 article written by Jessica Griggs in New Scientist, one of the first benefits of smart dust could be an early defense warning for space storms and other debris that could be catastrophic.

Now that we’ve explored some of the military benefits of smart dust, let’s switch gears and see how smart dust may be able to have an impact on our daily lives. According to the smart dust project website, smart dust could quickly become a part of our daily lives. Everything from pasting smart dust particles to our finger tips to create a virtual computer keyboard to inventory control to product quality control have been discussed as possible applications for smart dust. Steve Lohr in his 2010New York Times article wrote, “The applications for sensor-based computing, experts say, include buildings that manage their own energy use, bridges that sense motion and metal fatigue to tell engineers they need repairs, cars that track traffic patterns and report potholes, and fruit and vegetable shipments that tell grocers when they ripen and begin to spoil.” Medically, according to the smart dust project website, smart dust could help disabled individuals interface with computers. Theoretically, we could all be injected with smart dust, which relays information to our physicians and detects adverse changes to our body instantly. Smart dust could detect the microscopic formations of cancer cells or alert us when we’ve been infected by a bacteria or virus, which could speed up treatment and prolong all of our lives.

Now that you’ve had a chance to read the body of the speech on smart dust, take a second and attempt to conduct your own analysis of the speech’s body. What are the main points? Do you think the main points make sense? What organizational pattern is used? Are there clear transitions? What other techniques are used to keep the speech moving? Is evidence used to support the speech? Once you’re done analyzing the speech body, look at Table 10.2 “Smart Dust Speech Body Analysis”, which presents our basic analysis of the speech’s body.

Table 10.2 Smart Dust Speech Body Analysis




Een gedachte over “Analyzing a Speech Body…….

  1. Wireless, RF & Smart Dust

    Here you will find Projects dealing with:
    Tuneable RF components: capacitors, inductors, transformers
    RF microrelays
    High frequency MEMS resonators: devices, structures, and processes

    Current Active Projects:
    BPN435: A Micromechanical Power Amplifier
    BPN433: A Micromechanical Power Converter
    BPN434: A Micromechanical RF Channelizer
    BPN735: Autonomous Microrobotic Systems New Project
    BPN701: Bridged Micromechanical Filters
    BPN707: High-Order Micromechanical Electronic Filters
    BPN359: Micromechanical Disk Resonator-Based Oscillators
    BPN392: Mobile Airborne Particulate Matter Monitor for Cellular Deployment
    BPN744: Mr. Phelps’ Motes: Self-Destructing Silicon New Project
    BPN574: On-Chip Micro-Inductor
    BPN683: OpenWSN: A Standards-Based Low-Power Wireless Development Environment
    BPN734: Package-Derived Influences on Micromechanical Resonator Stability New Project
    BPN676: Q-Boosted Optomechanical Oscillators
    BPN713: Ring GINA: Highly Miniaturized Ring-Format Wearable Mote
    BPN596: Smart Fence and Other Wireless Sensing Applications for Critical Industrial Environments
    BPN705: Standard CMOS-Based, Fully Integrated, Stick-On Electricity Meters for Building Sub-Metering
    BPN682: Strong I/O Coupled High-Q Micromechanical Filters
    BPN540: Temperature-Stable Micromechanical Resonators and Filters
    BPN709: Tunable & Switchable Micromechanical RF Filters
    Indicates a MiNaSIP Project

    Recently Ended Projects:
    16-Channel IEEE802.15.4 Packet Sniffer
    3nJ/bit 2.4GHz CMOS RF Transceiver
    A Low-Power Receiver Employing RF Channel-Selection
    A Variable Inductor Array Using Lateral-Contact Microrelays
    Algorithms for Position and Data Recovery in Wireless Sensor Networks
    AlN Piezo: Aluminum Nitride CMOS-Integrated Accelerometer (MiNaSIP)
    AlN Piezo: Aluminum Nitride RF Filters
    AlN Piezo: Aluminum Nitride Wideband RF Filters
    AlN Piezo: Monolithic Acoustic RF MEMS Modules
    AlN Piezo: Temperature-Compensated & High-Q Aluminum Nitride Lamb Wave Resonators
    AlN Piezo:Aluminum Nitride Piezo Thermoelastic Damping (MiNaSIP)
    Aluminum Nitride-Based Actuators for Tunable Terahertz Electronics
    As-Grown SiGe Thin Film with Low Stress and Low Strain Gradient
    Capacitive-Gap Micromechanical Local Oscillator At GHz Frequencies
    Chemical Sensing with Smart Dust
    CMOS Imaging Receiver for Free-Space Optical Communication
    Decentralized TSCH Scheduling for a Floating Wireless Sensor Network
    Electric Power Sensing for Demand Response
    Energy Monitoring for the Smart Building Using Low-Power Wireless Sensors
    Fully-Integrated Cell Phone Reference Oscillator
    Generation of Low Phase Noise mm-Waves
    GHz Nano-Mechanical Resonators
    HEaTS: AlN Narrowband RF Filters
    HEaTS: Temperature-Compensated & High-Q Aluminum Nitride Lamb Wave Resonators
    HEaTS: Thermally Stable Aluminum Nitride Lamb Wave Resonators for Harsh Environment Applications
    High Frequency MEMS Resonator for Wireless Communication Applications
    High Frequency Optoelectronic Oscillators (OEO)
    High Linearity RF Photonic Links
    High-Order UHF Micromechanical Filters
    High-Performance MEMS Capacitors
    High-Voltage MEMS Resonators
    Incremental Network Programming
    Integrated Nano Mechanically-Regulated Atomic Clock: 3.4 GHz Resonator
    Integration of MEMS switches and RF passive components
    Interfacing Smart Phones with Low Power Wireless Devices
    Ivy – A Sensor Network Infrastructure for the College of Engineering
    Lateral-Mode NEMS Resonators Using Internal Electrostatic Transduction
    Levitated Micromechanical Resonators
    Limits to Micromechanical Resonator Performance
    Localization of Footsteps through Ground Vibrations
    Location Estimation Using RF Time of Flight
    Long-Term Stability in MEMS-Based Oscillators
    Low Power All-Digital Transceiver for Wireless Sensor Network
    Manufacturing Repeatability of the Frequency and Q of Capacitive Micromechanical Disk Resonators
    MEMS Microswitch for High-Voltage Applications
    MEMS Resonator Simulation with HiQLab
    MEMS RF Switch with Liquid Gallium Contacts
    Micromechanical Transmit Filter
    MiNaSIP 2.B.1: Piezoelectric/Electrode/Ambient Interaction in Contour-Mode Resonators
    Nano-Gap Piezoelectric Resonators for RF Mechanical Magnetic Field Generation
    Nanoresonator Interface Electronics
    Nanowire-Coupled Resonators
    New Materials for MEMS Resonators
    Novel SiGe Processes for Electrostatically Actuated MEMS Resonators
    Off-the-Shelf Sensors for Wireless Smart Home Applications
    OpenWSN: Open-Source Standards-Based Protocol Stacks for Wireless Sensor Networks
    Passive Wireless Transducers for a Distributed High Density Neural Interface
    Piezoelectric Aluminum Nitride Vibrating RF MEMS for Radio Front-End
    Piezoelectric MEMS for Resonator Applications
    Plastic 3-D W-band Antenna array
    Plastic Energy Harvester
    Post-process of GHz-range SiGe Resonators Over Standard RF CMOS Circuitry for Transceiver Applications
    Post-processing heat treatment of thin film Aluminum Nitride
    Protocol-Agnostic Compression in Mobile Ad-hoc Networks (PACMAN)
    QES: Design and Optimization of Passive Wireless Implantable Pressure Sensors
    Resonant Drive: Sense and High Voltage Electrostatic Drive Using Single MEMS Electrode
    RF Dielectric Fluid Immersed Silicon MEMS Tunable Capacitors
    RF Dust for Human Gestural Interpretation
    Self-Healing RF MEMS Switch
    Sensors and Capability Modeling for Palm-Sized Flying Robots
    Silicon carbide process development and characterization for harsh-environment sensors
    Smart Flea
    Steered Agile Laser Transmitter (SALT)
    Subterranean Wireless Sensor Network
    Synchronization and interaction of MEMS oscillators
    The Internet of Things: IPv6 for Multihop Wireless Sensor Networks
    Thermally-induced residual stresses in MEMS sensors
    Tunable Inductors and Transformers Utilizing Electro-Thermal Vibromotors
    Ultra-Low Energy Circuits for Distributed Sensor Networks (Smart Dust)
    Ultra-Low Power Radio for Sensor Networks
    Video Over Wireless Sensor Networks: From Camera to Smartphone
    Wireless Physician Tracking
    Wireless Sensor Network Scalability and Deployment in Industrial Automation
    Workshop: Hands-On Intro to Low-Power Wireless Sensor Networking

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