Embedded IoT Systems

Class Overview

Welcome to the course. This course is a graduate level course for students in the School of Integrated Technology at Yonsei University. Through this course, we will discuss various topics related to embedded IoT systems and also mobile computing. Students will be asked to write critiques for the papers discussed in class, lead paper presentations, and actively participate in discussions during the class. 

Please choose the papers to present using the following link https://shorturl.at/0r22M 

Each paper presentation will be for 30 mins and we will have 15 mins for discussions. We will be discussing 2-3 papers every week. Read at least 2 of the 2-3 papers that are up for discussion and provide a critique for one of them. In your critique note which other paper(s) you've read. 

Reading List

[Applications] - Week 2-4 (Select 6 papers)

A1. AutoMatch: Leveraging Traffic Camera to Improve Perception and Localization of Autonomous Vehicles [SenSys '22]

A2. HeartQuake: Accurate Low-Cost Non-Invasive ECG Monitoring Using Bed-Mounted Geophones [UbiComp '20]

A3. NFCapsule: An Ingestible Sensor Pill for Eosinophilic Esophagitis Detection Based on Near-field Coupling [SenSys '22]

A4. CMA: Cross-Modal Association Between Wearable and Structural Vibration Signal Segments for Indoor Occupant Sensing [IPSN '23]

A5. Mosaic: Extremely Low-resolution RFID Vision for Visually-anonymized Action Recognition [IPSN '23]

A6. Eclipse: An End-to-End Platform for Low-Cost, Hyperlocal Environmental Sensing in Cities [IPSN '22]

A7. Vildehaye: A Family of Versatile, Widely-Applicable, and Field-Proven Lightweight Wildlife Tracking and Sensing Tags [IPSN '22]

A8. PigSense: Structural Vibration-based Activity and Health Monitoring System for Pigs [ACM TOSN '23]

[Low-power Systems] - Week 5 (Select 2 papers)

LP1. Protean: An Energy-Efficient and Heterogeneous Platform for Adaptive and Hardware-Accelerated Battery-free Computing [SenSys '22]

LP2. The Case for Approximate Intermittent Computing [IPSN'22]

LP3. Battery-less Zero-maintenance Embedded Sensing at the Mithraeum of Circus Maximus [SenSys '20]

LP4. DIPS: Debug Intermittently-Powered Systems Like Any Embedded System [SenSys '22]

LP5. AdaMICA: Adaptive Multicore Intermittent Computing [UbiComp '22]

Week 6: Invited Talk

Week 7: No Class

Week 8: Midterm Exam Week

[Localization] - Week 9 (Select 2 papers)

L1. XRLoc: Accurate UWB Localization to Realize XR Deployments [SenSys '23]

L2. Enabling High-Precision Visible Light Localization in Today's Buildings, [Mobisys '17]

L3. Global Localization of Energy-Constrained Miniature RF Emitters using Low Earth Orbit Satellites [SenSys '23]

L4. AquaHelper: Underwater SOS Transmission and Detection in Swimming Pools [SenSys '23]

L5. Locating Everyday Objects using NFC Textiles [IPSN '21]

[Machine Learning] - Week 10-11 (Select 4 papers)

M1. YONO: Modeling Multiple Heterogeneous Neural Networks on Microcontrollers [IPSN '22]

M2. CoEdge: A Cooperative Edge System for Distributed Real-Time Deep Learning Tasks [IPSN '23]

M3. MESEN: Exploit Multimodal Data to Design Unimodal Human Activity Recognition with Few Labels [SenSys '23]

M4. LifeLearner: Hardware-Aware Meta Continual Learning System for Embedded Computing Platforms [SenSys '23]

M5. On-NAS: On-Device Neural Architecture Search on Memory-Constrained Intelligent Embedded Systems [SenSys '23]

M6. FedMask: Joint Computation and Communication-Efficient Personalized Federated Learning via Heterogeneous Masking [SenSys '21]

M7. AttFL: A Personalized Federated Learning Framework for Time-series Mobile and Embedded Sensor Data Processing [UbiComp '23]

Week 12:  Professor Shijia Pan (UC Merced) - Invited Talk

[Sensing] - Week 13-14 (Select 4 papers)

S1. SelfieStick: Towards Earth Imaging from a Low-Cost Ground Module Using LEO Satellites [IPSN '22]

S2. BLE Can See: A Reinforcement Learning Approach for RF-based Indoor Occupancy Detection [IPSN '21]

S3. CSafe: An Intelligent Audio Wearable Platform for Improving Construction Worker Safety in Urban Environments [IPSN '21]

S4. Addressing Practical Challenges in Acoustic Sensing To Enable Fast Motion Tracking [IPSN '23]

S5. Meta-Sticker: Sub-Terahertz Metamaterial Stickers for Non-Invasive Mobile Food Sensing [SenSys '23]

S6. Construct 3D Hand Skeleton with Commercial WiFi [SenSys '23]

S7. Room-scale Hand Gesture Recognition Using Smart Speakers [SenSys '22]