Big Data, Social Networks, and Human Behavior
|
|
- Marianna Osborne
- 8 years ago
- Views:
Transcription
1 Big Data, Social Networks, and Human Behavior Jukka-Pekka Onnela Harvard University Big Data for Development United Nations Headquarters, New York City July 10,
2 Overview Progress in science has always been driven by data Explosion in the amount and type of data Big data refers to large and complex data sets Often multidimensional, longitudinal, digitally generated The big data phenomenon has its origin in Moore s law: The number of transistors on integrated circuits doubles every 18 months Sensors are cheaper, smaller, everywhere Enhanced computational capacity 2
3 3
4 Large Hadron Collider (LCH) Large Hadron Collider (LHC) at CERN is the biggest machine ever built Largest underground ring has a circumference of 27 kilometers (17 miles) 1232 dipole magnets, each 15 meters long weighing 30 tons Vacuum is 10 trillionth of an atmosphere Experiments generate 100MB of data (particle trajectories) each second Higgs boson 4
5 5
6 Networks and mobile sensing Mobile phones have been used in the past few years to study the structure of human social and communication networks Networks consist of nodes (actors) and ties (interactions) The field of research that studies networks, their structure and function, is called network science (in physics and mathematics) or social network analysis (in sociology and statistics) 6
7 Networks and mobile sensing Network theory, when applied to social networks, has a simple premise People are connected, therefore our health is connected People are connected, therefore our economic wellbeing is connected Mobile phones have enormous potential for the study of human social networks and human behavior in vivo, in a natural context outside laboratories Social behavior has remained essentially unchanged for millennia, but now, for the first time, we have the opportunity to study it at large scale 7
8 Networks and mobile sensing Besides communication, smartphones have sensors and computing capabilities These possibilities have led to a new research field called mobile phone sensing Mobile sensing has evolved in the past few years for several reasons (1) Availability of cheap embedded sensors Gyroscope, compass, accelerometer, proximity sensor, ambient light sensor, two cameras, microphone, GPS, WiFi, Bluetooth (2) Smartphones are programmable (3) Software can be easily distributed (4) Significant computational power (phone & cloud) Each phone can generate 1kB of data / second (conservative) 8
9 9
10 Networks and mobile sensing Expect 6 billion phone subscriptions by the end of 2012 This results in 6 million MB / second, or 6 TB / second, of data This is 60,000 more data than CERN generates (conservative) Twofold opportunity: Use mobile phone sensing to learn about the individuals (nodes) Use mobile phone communication patterns and network theory to learn about the structural connections between individuals (ties) 10
11 Phone calls and texts in a European network 20% market share 18 weeks (126 days) Private subscriptions N = 7M; L = 23M Animation by Mikko Kivelä, Aalto University 11
12 Tie strengths in social networks The weak ties hypothesis Mark Granovetter, The strength of weak ties, American Journal of Sociology 78, 1360,
13 Tie strengths in social networks Revisiting the hypothesis with aggregated cell phone data Tie strength Fraction of friends in common 7 min 5 min 15 min (3 calls) 3 min Onnela, Saramäki, Hyvönen, Szabó, Lazer, Kaski, Kertész, Barabási Structure and tie strengths in mobile communication networks, PNAS 104, 7332,
14 Tie strengths in social networks Onnela, Saramäki, Hyvönen, Szabó, Lazer, Kaski, Kertész, Barabási Structure and tie strengths in mobile communication networks, PNAS 104, 7332,
15 Tie strengths in social networks 15 15
16 Tie strengths in social networks 16 16
17 Tie strengths in social networks 17 17
18 Tie strengths in social networks 18 18
19 19
20 Pulse of the nation: Mood from Twitter Understanding the Demographics of Twitter Users; A Mislove, S Lehmann, YY Ahn, JP Onnela, JN Rosenquist; Proceedings of the Fifth International AAAI Conference on Weblogs and Social Media, Barcelona, Spain,
21 Thank you jponnela.com 22
Using Big Data to Improve Individual Health and Health Care Systems
Using Big Data to Improve Individual Health and Health Care Systems Jukka-Pekka JP Onnela Department of Biostatistics Harvard T. H. Chan School of Public Health Harvard University April 17, 2015 DATA Progress
More informationWearable Technology Evolution & Security: Grant Brown - Security Strategist Symantec
Wearable Technology Evolution & Security: Grant Brown - Security Strategist Symantec 3.58 KM 12.11 KPH 493 Calories 114 BPM WEARABLE TECH EVOLUTION AND SECURITY GRANT BROWN SECURITY STRATEGIST @thegrantbrown
More informationSENSORS ON ANDROID PHONES. Indian Institute of Technology Kanpur Commonwealth of Learning Vancouver
SENSORS ON ANDROID PHONES Indian Institute of Technology Kanpur Commonwealth of Learning Vancouver Keerthi Kumar Samsung Semiconductors Keerthi Kumar IIT Kanpur Keerthi Kumar Overview What are sensors?
More informationTesting the In-Memory Column Store for in-database physics analysis. Dr. Maaike Limper
Testing the In-Memory Column Store for in-database physics analysis Dr. Maaike Limper About CERN CERN - European Laboratory for Particle Physics Support the research activities of 10 000 scientists from
More informationData Centric Computing Revisited
Piyush Chaudhary Technical Computing Solutions Data Centric Computing Revisited SPXXL/SCICOMP Summer 2013 Bottom line: It is a time of Powerful Information Data volume is on the rise Dimensions of data
More informationCrowdsourcing mobile networks from experiment
Crowdsourcing mobile networks from the experiment Katia Jaffrès-Runser University of Toulouse, INPT-ENSEEIHT, IRIT lab, IRT Team Ecole des sciences avancées de Luchon Networks and Data Mining, Session
More informationTowards a Characterization of Egocentric Networks in Online Social Networks
Towards a Characterization of Egocentric Networks in Online Social Networks Valerio Arnaboldi, Andrea Passarella, Maurizio Tesconi, Davide Gazzè IIT-CNR, Via G. Moruzzi 1, 56124 Pisa, Italy {firstname.lastname}@iit.cnr.it
More informationCongrats to Game Winners. How can computation use data to solve problems? What topics have we covered in CS 202? Part 1: Completed!
CS 202: Introduction to Computation " UNIVERSITY of WISCONSIN-MADISON Computer Sciences Department Professor Andrea Arpaci-Dusseau How can computation use data to solve problems? Congrats to Game Winners
More information(Possible) HEP Use Case for NDN. Phil DeMar; Wenji Wu NDNComm (UCLA) Sept. 28, 2015
(Possible) HEP Use Case for NDN Phil DeMar; Wenji Wu NDNComm (UCLA) Sept. 28, 2015 Outline LHC Experiments LHC Computing Models CMS Data Federation & AAA Evolving Computing Models & NDN Summary Phil DeMar:
More informationSensor Fusion Mobile Platform Challenges and Future Directions Jim Steele VP of Engineering, Sensor Platforms, Inc.
Sensor Fusion Mobile Platform Challenges and Future Directions Jim Steele VP of Engineering, Sensor Platforms, Inc. Copyright Khronos Group 2012 Page 104 Copyright Khronos Group 2012 Page 105 How Many
More informationEmerging Technology Analysis: The Internet of Things Creates Semiconductor Business Opportunities at Several Levels
Gartner for Business Leaders G00248942 Emerging Technology Analysis: The Internet of Things Creates Semiconductor Business Opportunities at Several Levels Published: 27 February 2013 Analyst(s): Jim Tully
More informationConcepts in Theoretical Physics
Concepts in Theoretical Physics Lecture 6: Particle Physics David Tong e 2 The Structure of Things 4πc 1 137 e d ν u Four fundamental particles Repeated twice! va, 9608085, 9902033 Four fundamental forces
More informationCloud beyond the obvious, an approach for innovation
Cloud beyond the obvious, an approach for innovation Christian Verstraete Chief Technologist Cloud Strategy Our World is Changing Living in the age of tectonic shifts, and welcome to the new style of IT
More informationREALIZING EINSTEIN S DREAM Exploring Our Mysterious Universe
REALIZING EINSTEIN S DREAM Exploring Our Mysterious Universe The End of Physics Albert A. Michelson, at the dedication of Ryerson Physics Lab, U. of Chicago, 1894 The Miracle Year - 1905 Relativity Quantum
More informationBig Bang Disruption in the Postal & Parcel Industry. Brody Buhler, Accenture Global Managing Director Postal & Parcel
Big Bang Disruption in the Postal & Parcel Industry Brody Buhler, Accenture Global Managing Director Postal & Parcel High Performance in the Postal Industry 2015 Research Coming soon in September 2015
More informationGeneral background on mobile devices and solutions including context awareness
General background on mobile devices and solutions including context awareness Kjell Are Refsvik 20 January 16, 2012 IMT2551 Mobile Systems Fundamentals CC: BY-NC-SA http://www.ansatt.hig.no/kjellr/imt2551
More informationThe 8 th International Scientific Conference elearning and software for Education Bucharest, April 26-27, 2012 10.5682/2066-026X-12-115
The 8 th International Scientific Conference elearning and software for Education Bucharest, April 26-27, 2012 10.5682/2066-026X-12-115 TRADE-OFFS IN DEVELOPING HIGHLY INTERACTIVE MLEARNING CONTENT USING
More information10/14/11. Big data in science Application to large scale physical systems
Big data in science Application to large scale physical systems Large scale physical systems Large scale systems with spatio-temporal dynamics Propagation of pollutants in air, Water distribution networks,
More informationCSC9B1: Networks 4. Content
CSC9B1: Networks 4 Lecture Networks 3/Slide 1 Content Mobile computing Remote desktops Mobile web Cloud computing The Interplanetary Internet (InterPlaNET) Lecture Networks 3/Slide 2 Page 1 1 Mobile Computing
More informationWe invented the Web. 20 years later we got Drupal.
We invented the Web. 20 years later we got Drupal. CERN s perspective on adopting Drupal as a platform. DrupalCon, London 2011 Today we ll look at. What is CERN? Challenges of the web at CERN Why Drupal
More informationPeople centric sensing Leveraging mobile technologies to infer human activities. Applications. History of Sensing Platforms
People centric sensing People centric sensing Leveraging mobile technologies to infer human activities People centric sensing will help [ ] by enabling a different way to sense, learn, visualize, and share
More informationBig Data Analytics. for the Exploitation of the CERN Accelerator Complex. Antonio Romero Marín
Big Data Analytics for the Exploitation of the CERN Accelerator Complex Antonio Romero Marín Milan 11/03/2015 Oracle Big Data and Analytics @ Work 1 What is CERN CERN - European Laboratory for Particle
More informationModule Title: Software Development A: Mobile Application Development
Module Title: Software Development A: Mobile Application Development Module Code: SDA SDA prerequisites: CT1, HS1, MS001, CA Award of BSc. In Information Technology The Bachelor of Science in Information
More informationComprehensive Data Collection by Sensor Network and Optical Sensor for Agricultural Big Data
Comprehensive Data Collection by Sensor Network and Optical Sensor for Agricultural Big Data Masayuki HIRAFUJI* ** * NARO National Agriculture and Food Research Organization ** University of Tsukuba Big
More informationWhat happens when Big Data and Master Data come together?
What happens when Big Data and Master Data come together? Jeremy Pritchard Master Data Management fgdd 1 What is Master Data? Master data is data that is shared by multiple computer systems. The Information
More informationDetecting Anomalies in Mobile Telecommunication Networks Using a Graph Based Approach
Proceedings of the Twenty-Eighth International Florida Artificial Intelligence Research Society Conference Detecting Anomalies in Mobile Telecommunication Networks Using a Graph Based Approach Cameron
More informationHuman Brain Project -
Human Brain Project - Scientific goals, Organization, Our role Wissenswerte, Bremen 26. Nov 2013 Prof. Sonja Grün Insitute of Neuroscience and Medicine (INM-6) & Institute for Advanced Simulations (IAS-6)
More informationTechnology programme, http://tek.hip.fi. Summer 2009 HIP CERN. the European Organization for Nuclear Research CERN
& Summer 2009 HIP CERN the European Organization for Nuclear Research CERN Background What is HIP? Helsinki Institute of Physics (HIP) is responsible for the Finnish research collaboration with CERN. is
More informationExpert Android Apps Development
Course Contents: 1. 2D Animations Frame-by-Frame Animation o Planning for Frame-by-Frame Animation o Creating the Activity o Adding Animation to the Activity Layout Animation o Basic Tweening Animation
More informationHealthcare Delivery. Transforming. through Mobility Solutions. A Solution White Paper - version 1.0
Transforming Healthcare Delivery through Mobility Solutions A Solution White Paper - version 1.0 HTC Global Services HTC Towers, No. 41, GST Road, Guindy, Chennai - 600 032, India. Ph: +91 44 4345 3500
More informationcs.nyu.edu/courses/fall13/csci-ua.0004-005/
cs.nyu.edu/courses/fall13/csci-ua.0004-005/ Digital Revolution Represents a shift from analog and electronic technology to digital Industrial Revolution (18th 19th c.) Electronic Media (19th 20th c.)
More informationThe Evolving Internet of Things Market
The Evolving Internet of Things Market Key Trends and Implications By Kevin Foley, Todd Bricker and Syed Raza The phrase Internet of Things (IoT) is firmly established in today s business lexicon but no
More informationNovel AMR technologies and Remote Monitoring
Novel AMR technologies and Remote Monitoring Marios Milis, SignalGeneriX Ltd marios.milis@signalgenerix.com 1 AMR Overview AMR is the technology of automatically collecting consumption, diagnostic, and
More informationWaves: Recording Sound Waves and Sound Wave Interference (Teacher s Guide)
Waves: Recording Sound Waves and Sound Wave Interference (Teacher s Guide) OVERVIEW Students will measure a sound wave by placing the Ward s DataHub microphone near one tuning fork A440 (f=440hz). Then
More informationThe dynamics of a mobile phone network
Physica A 387 (2008) 3017 3024 www.elsevier.com/locate/physa The dynamics of a mobile phone network Cesar A. Hidalgo a,, C. Rodriguez-Sickert b a Center for Complex Network Research, Department of Physics,
More informationMEPTEC. Ecosystem for MCU, Sensors and MEMS for IoT Tony Massimini Chief of Technology Semico Research Corp. May 20, 2015 tonym@semico.
MEPTEC Ecosystem for MCU, Sensors and MEMS for IoT Tony Massimini Chief of Technology Semico Research Corp. May 20, 2015 tonym@semico.com Outline Impact of Sensors Basic Building Blocks for IoT Sensors
More informationNative mobile apps: The wrong choice for business?
Native mobile apps: The wrong choice for business? Why businesses should think twice before building native mobile applications A white paper from Introduction Native mobile applications are popular with
More informationCan the smartphone sensors be used for wheelchair accessibility studies? Dr. Manik Gupta Dr. Behzad Heravi Dr. Catherine Holloway Prof.
Can the smartphone sensors be used for wheelchair accessibility studies? Dr. Manik Gupta Dr. Behzad Heravi Dr. Catherine Holloway Prof. Steve Hailes Outline Research motivation Importance of wheelchair
More informationFrom Muons and Neutrinos to Big Data and the Internet of Things
http://www.psi.ch/ltp/scientific-highlights From Muons and Neutrinos to Big Data and the Internet of Things http://www.psl.wisc.edu/projects/large/dayabay David M. Webber Chief Technology Officer, Scanalytics,
More informationMobile Application GPS-Based
3 Mobile Application GPS-Based Berta Buttarazzi University of Tor Vergata, Rome, Italy 1. Introduction Most of navigators for mobile devices have a big failure; they do not notify the user of road condition
More informationMonetizing The Internet Of Things: A Convenient How Not To Guide. Paul R Brody Principal & Strategy Leader, Technology Sector July 2015
Monetizing The Internet Of Things: A Convenient How Not To Guide Paul R Brody Principal & Strategy Leader, Technology Sector July 2015 The future is already here, it s just not evenly distributed. William
More informationData analysis in Par,cle Physics
Data analysis in Par,cle Physics From data taking to discovery Tuesday, 13 August 2013 Lukasz Kreczko - Bristol IT MegaMeet 1 $ whoami Lukasz (Luke) Kreczko Par,cle Physicist Graduated in Physics from
More informationMain Memory & Backing Store. Main memory backing storage devices
Main Memory & Backing Store Main memory backing storage devices 1 Introduction computers store programs & data in two different ways: nmain memory ntemporarily stores programs & data that are being processed
More informationMicrowatt to Megawatt - Transforming Edge to Data Centre Insights
Security Level: Public Microwatt to Megawatt - Transforming Edge to Data Centre Insights Steve Langridge steve.langridge@huawei.com May 3, 2015 www.huawei.com Agenda HW Acceleration System thinking Big
More informationRicerca scientifica e sviluppo umano: il caso del CERN. Fabiola Gianotti CERN, Physics Department
Ricerca scientifica e sviluppo umano: il caso del CERN Fabiola Gianotti CERN, Physics Department 1 CERN : the largest particle physics laboratory in the world Mission: International Organization based
More informationTomTom Real-time Maps. Allan Rasmussen, Director Supplier Quality
TomTom Real-time Maps Allan Rasmussen, Director Supplier Quality About TomTom Consumer GPS navigation: Car (80 million PNDs sold) Smartphone (embedded in 500 million) Caravan/camper 10 years Anniversary
More informationPhotography by Reidar Hahn
Photography by Reidar Hahn 24 symmetry volume 06 issue 03 july 09 Helium s shrinking bubble Helium is the lifeblood of large particle accelerators. As the world s supply dwindles, the particle physics
More informationModern Market Sensors in Smartphones: State-of-the-art How to make smartphones even more smarter? Conclusions
Smartphone Sensing: What Sensors Would we Like to Have in the Future Smartphones? Dr. Sergey Y. Yurish International Frequency Sensor Association (IFSA), Technology Assistance BCNA 2010, S.L. Barcelona,
More informationSensors and Cellphones
Sensors and Cellphones What is a sensor? A converter that measures a physical quantity and converts it into a signal which can be read by an observer or by an instrument What are some sensors we use every
More informationEUROPEAN ORGANIZATION FOR NUCLEAR RESEARCH THE INFORMATION SYSTEM FOR LHC PARAMETERS AND LAYOUTS
EUROPEAN ORGANIZATION FOR NUCLEAR RESEARCH European Laboratory for Particle Physics CERN EST/98-05 (ISS) THE INFORMATION SYSTEM FOR LHC PARAMETERS AND LAYOUTS S. Mallon, M. Mottier, Th. Pettersson, T.
More informationChapter 15 Collision Theory
Chapter 15 Collision Theory 151 Introduction 1 15 Reference Frames Relative and Velocities 1 151 Center of Mass Reference Frame 15 Relative Velocities 3 153 Characterizing Collisions 5 154 One-Dimensional
More informationRunning the scientific data archive
Running the scientific data archive Costs, technologies, challenges Jos van Wezel STEINBUCH CENTRE FOR COMPUTING - SCC KIT University of the State of Baden-Württemberg and National Laboratory of the Helmholtz
More informationAdvanced Methods for Pedestrian and Bicyclist Sensing
Advanced Methods for Pedestrian and Bicyclist Sensing Yinhai Wang PacTrans STAR Lab University of Washington Email: yinhai@uw.edu Tel: 1-206-616-2696 For Exchange with University of Nevada Reno Sept. 25,
More informationBig Data. What is Big Data? Over the past years. Big Data. Big Data: Introduction and Applications
Big Data Big Data: Introduction and Applications August 20, 2015 HKU-HKJC ExCEL3 Seminar Michael Chau, Associate Professor School of Business, The University of Hong Kong Ample opportunities for business
More informationThe Length of Bridge Ties: Structural and Geographic Properties of Online Social Interactions
The Length of Bridge Ties: Structural and Geographic Properties of Online Social Interactions Yana Volkovich Barcelona Media Foundation yana.volkovich@barcelonamedia.org Salvatore Scellato University of
More informationMedical Technologies and Data Protection Issues - QUESTIONNAIRE
Medical Technologies and Data Protection Issues - QUESTIONNAIRE The questionnaire should ideally be completed by data protection authorities, health policy authorities, as well as healthcare providers.
More informationAge of Big data. Presented by: Mohammad Iqbal BCM -2014
Age of Presented by: Mohammad Iqbal BCM -2014 Agenda Big? Big evolution from Big? Name Symbol Value Kilobyte KB 10^3 BIG DATA Megabyte MB 10^6 Gigabyte GB 10^9 Terabyte TB 10^12 Petabyte PB 10^15 So large
More informationAccelerating Experimental Elementary Particle Physics with the Gordon Supercomputer. Frank Würthwein Rick Wagner August 5th, 2013
Accelerating Experimental Elementary Particle Physics with the Gordon Supercomputer Frank Würthwein Rick Wagner August 5th, 2013 The Universe is a strange place! 67% of energy is dark energy We got no
More informationNow, Next and the Future: IT, Big Data and other Implications for RIM. Presented by Michael S. Smith / http://about.me/mikessmith
Now, Next and the Future: IT, Big Data and other Implications for RIM Agenda for This Afternoon Now: What trends are creating implications within the profession? Next: Why is IT now concerned about RIM?
More informationUpdated to match implementation
Android Sensor System Olufemi Omojola July 27, 2010 Revision History May 17, 2010 May 21, 2010 July 27, 2010 Initial draft Updates after discussion Updated to match implementation Introduction This document
More informationChanging the face of Business Intelligence & Information Management
1300 530 335 info@c3businessolutions.com www.c3businesssolutions.com GPO Box 589 Melbourne VIC 3001 Australia ABN 35 122 885 465 White Paper Big Data Changing the face of Business Intelligence & Information
More informationThe HP IT Transformation Story
The HP IT Transformation Story Continued consolidation and infrastructure transformation impacts to the physical data center Dave Rotheroe, October, 2015 Why do data centers exist? Business Problem Application
More informationExtreme Computing. Big Data. Stratis Viglas. School of Informatics University of Edinburgh sviglas@inf.ed.ac.uk. Stratis Viglas Extreme Computing 1
Extreme Computing Big Data Stratis Viglas School of Informatics University of Edinburgh sviglas@inf.ed.ac.uk Stratis Viglas Extreme Computing 1 Petabyte Age Big Data Challenges Stratis Viglas Extreme Computing
More informationAutomatic Classification of Mobile Phone Contacts
Automatic Classification of Mobile Phone Contacts Alireza Sahami Shirazi Huy Viet Le, Niels Henze, Albrecht Schmidt University of Stuttgart, VIS, Stuttgart Germany Abstract Current smartphones have virtually
More informationIs the Future of Public Service Delivery Mobile-Only?
Is the Future of Public Service Delivery Mobile-Only? 10 th Public Sector IT Conference, Dublin, 31 Oct. 2014 Norbert Sagnard Managing Consultant Sagnard Associates IRELAND 2014 A MOBILE SOCIETY Ireland:
More informationVehicle and Object Tracking Based on GPS and GSM
Vehicle and Object Tracking Based on GPS and GSM 1 Sonali Kumari, 2 Simran Ghai, 3 Bharti Kushwaha 1,2,3 Department of Computer Science, Dronacharya Group of Institutions, Greater Noida (U.P), India Abstract:
More informationThis - rather famous - image is a visualization of the data collected by NASA s WMAP mission. It shows the cosmic microwave background radiation
1 This - rather famous - image is a visualization of the data collected by NASA s WMAP mission. It shows the cosmic microwave background radiation variation of the universe. The image confirms that, with
More informationFrequently Asked Questions (FAQs)
Frequently Asked Questions (FAQs) OS5000 & OS4000 Family of Compasses FAQ Document Rev. 2.0 Important Notes: Please also reference the OS5000 family user guide & OS4000 user guide on our download page.
More informationBig Data: calling for a new scope in the curricula of Computer Science. Dr. Luis Alfonso Villa Vargas
Big Data: calling for a new scope in the curricula of Computer Science Dr. Luis Alfonso Villa Vargas 23 de Abril, 2015, Puerto Vallarta, Jalisco, México Big Data: beyond my project } This talk is not about
More informationSTMicroelectronics is pleased to present the. SENSational. Attend a FREE One-Day Technical Seminar Near YOU!
SENSational STMicroelectronics is pleased to present the SENSational Seminar Attend a FREE One-Day Technical Seminar Near YOU! Seminar Sensors and the Internet of Things are changing the way we interact
More informationRemote Monitoring of Livestock Wireless and the Wii Improving Livestock Welfare
Remote Monitoring of Livestock Wireless and the Wii Improving Livestock Welfare Ian McCauley Greg Cronin Michelle Watt Samantha Borg Future Farming Systems Research, DPI Vic Outline Wireless Technologies
More informationThe Incredible Methamorphosis of The computer in Smartphone. L incroyable métamorphose de l ordinateur en smartphone
The Incredible Methamorphosis of The computer in Smartphone L incroyable métamorphose de l ordinateur en smartphone Prof. David Atienza Embedded Systems Laboratory (ESL), Section of EE, Faculty of Engineering
More informationExploring Big Data in Social Networks
Exploring Big Data in Social Networks virgilio@dcc.ufmg.br (meira@dcc.ufmg.br) INWEB National Science and Technology Institute for Web Federal University of Minas Gerais - UFMG May 2013 Some thoughts about
More informationDSC/e. Data Science Center Eindhoven Turning Data into Value. Wil van der Aalst. Scientific Director DSC/e
DSC/e Data Science Center Eindhoven Turning Data into Value Wil van der Aalst Scientific Director DSC/e DSC/e in a Nutshell The Data Scientist: Engineering Profession of the Future (growth of data will
More informationInternet of Things (IoT): A vision, architectural elements, and future directions
Internet of Things (IoT): A vision, architectural elements, and future directions By IOT Group Salah Amean Ahmmed Saeed Authors: Gubbi, Jayavardhana Buyya, RajkumarMarusic, Slaven Palaniswami, Marimuthu
More informationBeyond High Performance Computing: What Matters to CERN
Beyond High Performance Computing: What Matters to CERN Pierre VANDE VYVRE for the ALICE Collaboration ALICE Data Acquisition Project Leader CERN, Geneva, Switzerland 2 CERN CERN is the world's largest
More informationTurning Banking Technology Trends into Meaningful Solutions
Turning Banking Technology Trends into Meaningful Solutions Technology is changing the way customers interact with their bank, impacting deposit services, lending and payments. The most significant technology
More informationA New Era Of Analytic
Penang egovernment Seminar 2014 A New Era Of Analytic Megat Anuar Idris Head, Project Delivery, Business Analytics & Big Data Agenda Overview of Big Data Case Studies on Big Data Big Data Technology Readiness
More informationUniversità Degli Studi di Parma. Distributed Systems Group. Android Development. Lecture 0 Mobile Development Introduction. Marco Picone - 2012
Android Development Lecture 0 Mobile Development Introduction Università Degli Studi di Parma Lecture Summary 2 Introduction and Motivations Mobile device History/Timeline Market Growth (Causes / Effects)
More informationDavid. University Fabrication Lab: High Level Overview. Nanoscale Vacuum Electronics. Electrical Engineering Community. Co-Founder & CTO Libelium
EEWeb Issue 91 March 26, 2013 David Gascon Co-Founder & CTO Libelium TECHNICAL ARTICLE University Fabrication Lab: High Level Overview TECHNICAL ARTICLE Nanoscale Vacuum Electronics Electrical Engineering
More informationMobile Phones Operating Systems
Mobile Phones Operating Systems José Costa Software for Embedded Systems Departamento de Engenharia Informática (DEI) Instituto Superior Técnico 2015-05-28 José Costa (DEI/IST) Mobile Phones Operating
More informationCOMMUNITY COLLEGE OF CITY UNIVERSITY CITY UNIVERSITY OF HONG KONG. (English) Application for Portable Devices (Chinese)
COMMUNITY COLLEGE OF CITY UNIVERSITY CITY UNIVERSITY OF HONG KONG Information on a Course offered by Division of Applied Science and Technology Course Title: (English) Application for Portable Devices
More informationField Analysis & Reporting Application (FARA): Mobile
Field Analysis & Reporting Application (FARA): Mobile FARA Mobile: Fleet Management Forms Gamified Performance Feedback Underground (BLE Beacons) & Surface (GPS) positioning Field Region Builder LTE, Wi-Fi,
More informationFCC 1309180800 JGU WBS_v0034.xlsm
1 Accelerators 1.1 Hadron injectors 1.1.1 Overall design parameters 1.1.1.1 Performance and gap of existing injector chain 1.1.1.2 Performance and gap of existing injector chain 1.1.1.3 Baseline parameters
More informationOverview for Families
unit: Ratios and Rates Mathematical strand: Number The following pages will help you to understand the mathematics that your child is currently studying as well as the type of problems (s)he will solve
More informationMobile Application Marketplace 2015: Market Analysis and Assessment of Future Evolution and Opportunities
Brochure More information from http://www.researchandmarkets.com/reports/3245389/ Mobile Application Marketplace 2015: Market Analysis and Assessment of Future Evolution and Opportunities Description:
More informationSensor Devices and Sensor Network Applications for the Smart Grid/Smart Cities. Dr. William Kao
Sensor Devices and Sensor Network Applications for the Smart Grid/Smart Cities Dr. William Kao Agenda Introduction - Sensors, Actuators, Transducers Sensor Types, Classification Wireless Sensor Networks
More informationMoving Beyond the Web, a Look at the Potential Benefits of Grid Computing for Future Power Networks
Moving Beyond the Web, a Look at the Potential Benefits of Grid Computing for Future Power Networks by Malcolm Irving, Gareth Taylor, and Peter Hobson 1999 ARTVILLE, LLC. THE WORD GRID IN GRID-COMPUTING
More informationDoing Multidisciplinary Research in Data Science
Doing Multidisciplinary Research in Data Science Assoc.Prof. Abzetdin ADAMOV CeDAWI - Center for Data Analytics and Web Insights Qafqaz University aadamov@qu.edu.az http://ce.qu.edu.az/~aadamov 16 May
More informationIndicators of opinion leadership in customer networks: self-reports and degree centrality
DOI 10.1007/s11002-015-9369-7 Indicators of opinion leadership in customer networks: self-reports and degree centrality Hans Risselada 1 & Peter C. Verhoef 1 & Tammo H. A. Bijmolt 1 # The Author(s) 2015.
More informationsocial media - mobile media MediaPro Burgdorf / Olli Alm 30.8.2012 Olli.Alm@metropolia.fi
social media - mobile media MediaPro Burgdorf / Olli Alm 30.8.2012 Olli.Alm@metropolia.fi social What is social media? New platforms of communication providing user generated content and ways for reflecting
More informationBig Data a threat or a chance?
Big Data a threat or a chance? Helwig Hauser University of Bergen, Dept. of Informatics Big Data What is Big Data? well, lots of data, right? we come back to this in a moment. certainly, a buzz-word but
More informationA Peek into the Future-''Internet of Things''
A Peek into the Future-''Internet of Things'' Raj Kosaraju CIO at Maxil Technology Solutions Inc. A Peek into the Future-''Internet of Things'' Smart appliances that communicate with each other and share
More informationSTORY: MASSIVE AFFORDABLE COMPUTING STORY OVERVIEW
STORY: MASSIVE AFFORDABLE COMPUTING STORY OVERVIEW Scientists and researchers at the University of the Witwatersrand are pioneering a new generation of generic supercomputers. The team of the High Energy
More informationPeople, Movement & Public Space
People, Movement & Public Space Differences in Walking Behaviour between differents European cities Prof. Stefan van der Spek Faculty of Architecture and the Built Environment Delft University of Technology
More informationTutorial: Big Data Algorithms and Applications Under Hadoop KUNPENG ZHANG SIDDHARTHA BHATTACHARYYA
Tutorial: Big Data Algorithms and Applications Under Hadoop KUNPENG ZHANG SIDDHARTHA BHATTACHARYYA http://kzhang6.people.uic.edu/tutorial/amcis2014.html August 7, 2014 Schedule I. Introduction to big data
More informationM2M ATDI services. M2M project development, Business model, Connectivity.
M2M ATDI services M2M project development, Business model, Connectivity. Introduction Thanks to our leadership in Spectrum management, Prospective planning, Network deployment, ATDI was/is involved in
More informationMEMS and Sensor Trends Smaller, Faster and Available to the Mass Market. Karen Lightman, Executive Director MEMS Industry Group
MEMS and Sensor Trends Smaller, Faster and Available to the Mass Market Karen Lightman, Executive Director MEMS Industry Group Uplinq Hardware Day - 2013 About MEMS Industry Group (MIG) MIG is the industry
More informationINTERNET OF THE THINGS (IoT): An introduction to wireless sensor networking middleware
1 INTERNET OF THE THINGS (IoT): An introduction to wireless sensor networking middleware Dr Antoine Bagula ISAT Laboratory, University of Cape Town, South Africa Goal of the lecture 2 The lecture intends
More informationThe Internet of Things: Opportunities & Challenges
The Internet of Things: Opportunities & Challenges What is the IoT? Things, people and cloud services getting connected via the Internet to enable new use cases and business models Cloud Services How is
More information