'Sensor data' presentation slideshows

Data Mining using Fractals and Power laws

Data Mining using Fractals and Power laws. Christos Faloutsos Carnegie Mellon University. Thank you!. Dr. Xueqi Cheng Dr. Liu Yue. Thanks to. Deepayan Chakrabarti (CMU/Yahoo) Michalis Faloutsos (UCR) George Siganos (UCR). Overview. Goals/ motivation: find patterns in large datasets:

1.41k views • 118 slides

METR155 Remote Sensing - Lecture 1

676 views • 49 slides

Electrosensory data acquisition and signal processing strategies in electric fish

Electrosensory data acquisition and signal processing strategies in electric fish. Mark E. Nelson Beckman Institute Univ. of Illinois, Urbana-Champaign. How Electric Fish Work. black ghost knifefish. elephant- nose fish. Fish tank upstairs. Distribution of Electric Fish.

611 views • 47 slides

Component-Based Design of Embedded Control Systems

Component-Based Design of Embedded Control Systems. Luca Dealfaro Chamberlain Fong Tom Henzinger Christopher Hylands John Koo Edward A. Lee Jie Liu Xiaojun Liu Steve Neuendorffer Sonia Sachs Shankar Sastry Win Williams. UC Berkeley. leader. follower. sensors. actuators.

444 views • 28 slides

Data and Applications Security Developments and Directions

Data and Applications Security Developments and Directions. Dr. Bhavani Thuraisingham The University of Texas at Dallas Lecture #25 Dependable Data Management April 7, 2008. Outline of the Unit. Secure Dependable Data Management Secure Real-time Data Management

462 views • 24 slides

Chalk talk for sensor and location support in Windows

454 views • 23 slides

Semantic Web Based Architecture for Managing Hardware Heterogeneity in Wireless Sensor Network

UNIVERSITY OF NOVI SAD FACULTY OF TEHNICAL SCIENCES SERBIA. Semantic Web Based Architecture for Managing Hardware Heterogeneity in Wireless Sensor Network. Authors : Sinisa Nikoli? , MSc Valentin Penca , MSc Milan Segedinac , MSc Prof. Zora Konjovi? , PhD. Outline. Introduction

362 views • 21 slides

Cloudnet products available from Chilbolton

319 views • 20 slides

Fusing Wireless Sensor Data to Measure Small-Group Collaborative Processes in Real-Time

Fusing Wireless Sensor Data to Measure Small-Group Collaborative Processes in Real-Time. Gregory K. W. K. Chung, Girlie C. Delacruz, Linda F. de Vries, Cecile H. Phan, UCLA/CRESST Mani B. Srivastava Department of Electrical Engineering, UCLA Raul Alarcon, Seeds University Elementary School.

325 views • 15 slides

Multi-Sensor Data Fusion

Multi-Sensor Data Fusion . H.B. Mitchell. Three-hour tutorial on multi-sensor data fusion The tutorial is closely based on a selection of material taken from the book: Multi-Sensor Data Fusion: An Introduction by H.B. Mitchell published by Springer-Verlag (2007). Introduction Sensors

1.35k views • 14 slides

Data Collection, Reduction, Analysis and Imaging for Scientific User Facilities

Data Collection, Reduction, Analysis and Imaging for Scientific User Facilities. Data Collection, Reduction, Analysis and Imaging for Scientific User Facilities. Christine Sweeney, LANL, Co-Lead cahrens@lanl.gov Sean Hearne, ORNL, Co-Lead Thomas Proffen , ORNL, Co-Lead

215 views • 11 slides

Home Security System

Home Security System. Willard Stanley. Motivations. Commercial security systems have a monthly cost Designing my own allows for greater extensibility. Design Goals. Core feature parity with commercial system Cost of less than $100 Low power Web configurable. Design Constraints.

289 views • 11 slides

VLSI Research Group

VLSI Research Group. Department of ECECS University of Cincinnati. Layout view. IR. ROM. PC. Control unit. BUS 2. ALU Block. INT_Timer. BSC. PORT. RAM. Prof. F. Beyette --Research Interests and Courses. Research: page-oriented optical storage systems

217 views • 10 slides

Standard Norge 2004

279 views • 7 slides

Data Management Systems for Sensor Data

Data Management Systems for Sensor Data. Magdalena Balazinska University of Washington. Processing Sensor Data Outside Sensor Networks. Approach 1: Store data first, then process it Traditional databases, IrisNet Approach 2: Process data as it streams

321 views • 5 slides

Challenges in Sensor Networks

Challenges in Sensor Networks. Karl Aberer School of Computer and Communication Science, EPFL National Competence Centre in Mobile Information and Communication Systems (NCCR-MICS). Wireless sensor networks, e.g. SensorScope Published over the Web, e.g. SensorMap

176 views • 4 slides

Project Description:

Instrumentation Platform 07103. Project Description:. The platform collects and transmits down sensor data such as temperature, pressure, acceleration and location to a ground control station. The platform will also accept commands on an uplink to modify platform operation while airborne.

186 views • 1 slides

Wrist Wearable Bio sensors Shweta Jain, Rajan Zambre shweta@cs.sunysb.edu, zambre@erallo.com

Dial up. Base Station. Wrist Unit Features. Wrist Unit is wirelessly configured to run one of the modes Calibration mode to calibrate sensors Normal Mode for regular operation Sleep Mode when on the shelf Wrist Unit stores data into flash with timestamp and sequence number.

210 views • 1 slides

Loda Griffeth collects lichen and soil samples along the Seward Highway.

Radionuclides and Contaminants in Arctic and Subarctic Regions. M. Cysewski, R. David, J. Nakai, L. Griffeth, J. Kelley, S. Naidu, S. Read, and D. Dasher. University of Alaska Fairbanks, Fairbanks, Alaska 99775, USA. http://www.ims.uaf.edu/orion. AISES

252 views • 1 slides

Key Terms and Review (Chapter 6) Enhancing Business Intelligence Using Information Systems

Key Terms and Review (Chapter 6) Enhancing Business Intelligence Using Information Systems. It's what you learn after you know it all that counts. John Wooden. Big Data. High volume, variety and velocity. VOLUME:

135 views • 0 slides