The Heilmeier Catechism What are you trying to

The Heilmeier Catechism • What are you trying to do? Articulate your objectives using absolutely no jargon. • How is it done today, and what are the limits of current practice? • What is new in your approach and why do you think it will be successful? • Who cares? If you succeed, what difference will it make? • What are the risks? • How much will it cost? • How long will it take? • What are the mid-term and final “exams” to check for success? 1

Allen Newell’s Research Style • Good science responds to real problems • Good science is in the details • Good science makes a difference 2

Good science responds to real problems • Good scientific problems are those that reflect real phenomena in the world. • Real problems that need to be solved. • Clear statement of the real phenomena or application it addresses. 3

Good science makes a difference • Measures of contribution: • How it solves a real problem • How it shapes the work of other • Solves a real problem • The problem sets the crucial context for the work • A million ideas to pursue, but which ones are worth doing? • Shapes the work of others • Highest goal: change other people’s thinking • Paradigm changes are the most impactful [Kuhn] 4

The research issues of the Internet of Things 5

What issues are still issues today? • Need for energy-efficient hardware and sensors • Wireless radio technologies • Privacy preserving techniques for user data • Human interaction patterns 6

What new issues characterize the Io. T? • Issues of heterogeneity • Communication • Management and discovery • Secure systems • Programming models • Distributed or cloud based 7

Real time monitoring? 8

Sensor lifetime? • “ 50 -62 days” • But, 2 m. A sleep current at the time 9

ALPS: A Bluetooth and Ultrasound Platform for Mapping and Localization • Patrick Lazik, Niranjini Rajagopal, Oliver Shih, Bruno Sinopoli, Anthony Rowe • Sen. Sys 2015 10

Indoor Localization • Multiple categories • Inertial sensors based • Fingerprinting based • Lidar based • Custom infrastructure • Dedicated tags • Existing devices 11

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z La et a Ti zik l. Qu m et e an a tit Cam Do l. m ec Gm pbe ain b. H ll et In al. t Si ran m on av Kl et a ip p l. Ch et a en l. SP Zen et IR ge al. IT n Na et vi al. ga E Sy li tion m as in et gt on al. e Zo t al u. Pi et a rk l. le W t al. u Ba et a ta l. e Qi t al u. et al Ni ko Na. de vi m x De et or al. a e M Ku t al irs o. he et ka al ri. et al. Ta ta he nc Sa Localization Error (m) 2015 Microsoft Indoor Localization Competition 25 5 0 22. 99 20 15 11. 24 10 1. 37 1. 63 1. 9 0. 2 0. 31 0. 39 0. 6 0. 739 0. 78 2. 6 5. 6 4. 67 4. 92 3. 5 3. 65 3. 93 4. 22 4. 31 7. 39 8. 24 Team 13

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Y Axis Goal: be accurate at each measurement point X Axis Origin Point (0, 0)

Three key challenges 1. Accurate localization 2. Easy setup 3. Handle non line-of-sight cases well 16

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How good is good enough? 19

Tradeoff between usability, deployment, accuracy, cost, reliability 20

Project proposal • ~2 pages, due Feb 6 • Should convey: • What is your idea? Why is it important? Who will care if it succeeds? • What is your hypothesis? • What other approaches exist? Why are they insufficient? • Some related work. • What might the design for a solution look like? • Any format 21