Data: Acquisition to Analysis
AGENDA
The workshop will be held on Sunday, November 6th 2022, in Boston MA, USA.
NOTE: Time listed below are in Boston local time, click "link to world clock" to convert to your local time.
Session 1:
9:00 - 9:50 Link to World Clock
Transforming IoT Data Preprocessing: A Holistic, Normalized and Distributed Approach
9:00 - 9:15
Amal Tawakuli, Daniel Kaiser, Thomas Engel
ThingSpeak in the Wild: Exploring 38K Visualizations of IoT Data
9:15 - 9:30
Thomas Zachariah, Noah Klugman, Prabal Dutta
Dataset
Dataset: An Indoor Smart Traffic Dataset and Data Collection System
9:30 - 9:40
Neiwen Ling, Yuze He, Nan Guan, Heming Fu, Guoliang Xing
Dataset
SolarWalk Dataset: Occupant Identification using Indoor Photovoltaic Harvester Output Voltage
9:40 - 9:50
Nurani Saoda, Md Fazlay Rabbi Masum Billah, Victor Ariel Leal Sobral, Bradford Campbell
Dataset
** Keynote !! **
10:00 - 11:00 Link to World Clock
Session 2:
11:20 - 12:20 Link to World Clock
C-RIDGE: Indoor CO2 Data Collection System for Large Venues Based on Prior Knowledge
11:20 - 11:35
Yifei Sun, Yuxuan Liu, Ziteng Wang, Xiaolei Qu, Dezhi Zheng, Xinlei Chen
Dataset
Lessons Learned from Developing Emotion Recognition System for Everyday Life
11:35 - 11:50
Stanisław Saganowski, Jan Miszczyk, Dominika Kunc, Dzmitry Lisouski, Przemysław Kazienko
Testbed Hardware Design to Collect Data for Underground PVC Water Pipe Crack Detection: Challenges and Solutions
11:50 - 12:05
Vinh Q. C. Tran, Duc V. Le, Doekle R. Yntema, Paul J.M. Havinga
Dataset
Design and Deployment of a Multi-Modal Multi-Node Sensor Data Collection Platform
12:05 - 12:20
Shiwei Fang, Ankur Sarker, Ziqi Wang, Mani Srivastava, Benjamin Marlin, Deepak Ganesan
** Lunch Break **
12:30 - 14:00 Link to World Clock
Session 3:
14:00 - 14:55 Link to World Clock
Grey-brick buildings, an open data set of calibrated RC models of Dutch residential building heat dynamics
14:00 - 14:15
Julien Leprince, Clayton Miller, Henrik Madsen, Kaustav Basu, Rik van der Vlist, Wim Zeiler
Dataset
Interlinking the Brick Schema with Building Domain Ontologies
14:15 - 14:30
Celia Garrido-Hidalgo, Jonathan Fürst, Bin Cheng, Luis Roda-Sanchez, Teresa Olivares, Ernö Kovacs
Dataset
Simultaneous Sporadic Sensor Anomaly Detection for Smart Homes
14:30 - 14:45
Hyunwoo Jung, Wootack Kim, Hyuna Seo, Youngki Lee
Dataset: Green Mark certified buildings metadata from Singapore
14:45 - 14:55
Yi Ting Teo, Matias Quintana, Muhammad Zikry Bin Sabarudin, Charlene Tan, Adrian Chong, Clayton Miller
Dataset
Session 4:
15:10 - 15:55 Link to World Clock
Non-acoustic speech sensing system based on flexible piezoelectric
15:10 - 15:25
Shiji Yuan, Ying Sun, Shuai Wang, Xinlei Chen, Ying Ding, Dezhi Zheng, Shangchun Fan
Dataset
Dataset: Impact Events for Structural Health Monitoring of a Plastic Thin Plate
15:25 - 15:40
Ioannis Katsidimas, Thanasis Kotzakolios, Sotiris Nikoletseas, Stefanos H. Panagiotou, Konstantinos Timpilis, Constantinos Tsakonas
Dataset
Dataset: HoloSet - A Dataset for Visual-Inertial Pose Estimation in Extended Reality
15:40 - 15:55
Yasra Chandio, Noman Bashir, Fatima M. Anwar
Keynote
Topic
Wireless sensing and robotics meet each other -- Datasets, AI, performance, novel sensing, and speed-ups
Abstract: Wireless sensing can enable new applications in robotics, AR/VR, metaverse, health monitoring, and day-to-day life. The fundamental difference for wireless sensing is its potential to extend sensing to inclement weather and non-line-of-sight settings and provide a complimentary sensing modality. Wireless sensing has gained traction in the last two decades without real-world deployment. Primarily due to a lack of low-overhead deployment and being accurate and robust. I will present open-sourced designs for wireless sensing systems that bridge with robotics to enable us to make seamless real-world deployments.
Keynote Speaker
Dinesh Bharadia
Assistant Professor, University of California San Diego
Dinesh Bharadia has been faculty in ECE at the University of California San Diego since January 2018. He received his Ph.D. from Stanford University in 2016 and was a Postdoctoral Associate at MIT. His research interests include advancing the theory and design of modern wireless communication, wireless sensing, and sensor design with applications to robotics, health, and everyday life. Much of his research has inspired new research areas for border communities: communication theory, circuits, RFIC, and robotics. Furthermore, much of his research work has been translated into the startup and commercial products (Haila, Kumu Networks, Totemic Labs).
Specifically, he built a prototype of a radio that invalidated a long-held assumption in wireless that radios cannot transmit and receive simultaneously on the same frequency, which inspired research on this topic from different communities (communication theory to RFIC). From 2013 to 2015, he worked to commercialize his research on full-duplex radios, building a product that underwent successful field trials at Tier 1 network providers worldwide like Deutsche Telekom and SK Telecom. This product is currently under deployment. He serves as a technical advisor for multiple startups.
In recognition of his work, Dinesh was named to Forbes 30 under 30 for the science category worldwide list. Dinesh was named a Marconi Young Scholar for outstanding wireless research and was awarded the Michael Dukakis Leadership award. He was also named one of the top 35 Innovators under 35 worldwide by MIT Technology Review in 2016.
ABOUT THE WORKSHOP
As the enthusiasm for and success of the Internet of Things (IoT), Cyber-Physical Systems (CPS), and Smart Buildings grows, so too does the volume and variety of data collected by these systems. How do we ensure that this data is of high quality, and how do we maximize the utility of collected data such that many projects can benefit from the time, cost, and effort of deployments?
The Data: Acquisition To Analysis (DATA) workshop aims to look broadly at interesting data from interesting sensing systems. The workshop considers problems, solutions, and results from all across the real-world data pipeline. We solicit submissions on unexpected challenges and solutions in the collection of datasets, on new and novel datasets of interest to the community, and on experiences and results - explicitly including negative results - in using prior datasets to develop new insights.
The workshop aims to bring together a community of application researchers and algorithm researchers in the sensing systems and building domains to promote breakthroughs from integration of the generators and users of datasets. The workshop will foster cross-domain understanding by enabling both the understanding of application needs and data collection limitations.
CALL FOR PAPERS
The workshop seeks contributions across two major thrusts, but is open to a broad view of interesting questions around the collection, dissemination, and use of data as well as interesting datasets:
The collection, evaluation, analysis, and use of data
- - Challenges and solutions in data collection, especially around security and privacy
- - Challenges and solutions in hardware/system design of data collection devices
- - Expectations and norms for data collection from sensor networks, especially those that involve human factors
- - Novel insights from existing datasets
- - Metadata management for complex datasets
- - Synthetic data, including its generation, application, and utility
- - Success stories - key properties of useful datasets and how to generalize them
- - Preprocessing, cleaning, and fusing datasets
- - Preliminary analysis and visualization of the data
- - Shortcomings of prior datasets - and how to address them in the future
- - Position papers on policies and norms from experimental design through data management and use are explicitly welcomed
New and interesting datasets, including but not limited to:
- - Shopping related sensing data
- - Animal related data or sensed data
- - Anonymized health, or synthetic health related data
- - Indoor localization, especially unprocessed/unfiltered physical layer measurements
- - Smart building, occupancy, motion data, energy, human comfort, vibration, BIM
- - Vehicular, GPS, cellular, or wifi traces and remote sensing
- - Reproductions of prior work that validate, refute, or enhance results
- - Anonymized contact tracing, interaction and exposure notification data
To enable the longevity and continued utility of submitted datasets, all datasets must be uploaded to a permanent data repository such as a Zenodo or CRAWDAD as part of the camera-ready preparation. Submissions may refer to datasets hosted on personal or temporary hosting but this hosting must be made permanent by time of publication.
Submission Format
Submissions may range from 1-5 pages in PDF format, excluding references, using the standard ACM conference template. DATA 2022 follows the single-blind review policy. The names and affiliations of all the authors must be present in the submitted manuscript. Submissions are strongly encouraged to use only as much space as needed to clearly convey the significance of the work—we fully expect many submissions, especially datasets, to use only 1-2 pages, but wish to allow those interested in fully elucidating positions on data collection and use or insights from reproducibility efforts ample space to do so. Submissions should use only as much space as necessary to clearly convey their ideas and contributions.
Submission Site
Important Dates (UTC-12)
Workshop Paper Due: September 5th, 2022 September 19th, 2022
Workshop Paper Notification: October 3rd, 2022 October 6th, 2022
Workshop Paper Camera Ready: October 17th, 2022 October 15th, 2022 (Firm Deadline)
Workshop Day: November 6th, 2022
ORGANIZATION
Co-Chairs & TPC Chairs
Steering Committee
Webchair
Technical Program Committee
Artifact Evaluation Committee
THE VENUE
The 5th DATA workshop is part of (co-located with) SenSys/BuildSys 2022.
For venue details, visa information, etcetera please visit the SenSys venue page.