Demo Data from VLDB 2026 / reviewers in the wild / expert
Alan Zhen
dblp:170/2571
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2015
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 1
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Computer networks
1 paper |
Internet of things and sensor networks · 77% Wireless sensing and localization · 23% | |
| Human-computer interaction and pervasive computing
1 paper |
Ubiquitous computing and smart environments · 100% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Internet of things and sensor networks
iot application development |
0.2 | 1 | 2015 | Demo: Michigan's IoT Toolkit · SenSys 2015 |
Wireless sensing and localization
indoor localization |
0.1 | 1 | 2015 | Demo: Michigan's IoT Toolkit · SenSys 2015 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2015 | Demo: Michigan's IoT ToolkitabstractBuilding connected, pervasive, human-facing, and responsive applications that incorporate local sensors, smartphone interactions, device actuation, and cloud-based learning--the promised features of the Internet of Things (IoT)---requires a complete suite of tools spanning both hardware and software. We present a set of these pieces, including a gateway, four hardware building blocks, multiple sensor platforms, an indoor localization system, and software for connecting users and devices. Each piece plays an integral role towards enabling applications, from facilitating rapid development of wireless smart devices to composing data streams and services from a diverse set of components. By providing layered interoperable systems, our toolkit offers cohesive support for moving beyond single-device, cloud-centric applications---typical in today's IoT landscape--and towards richer applications that incorporate multiple data streams, human interaction, cloud processing, location awareness, multiple communication protocols, historical data, access control, and on-demand user interfaces. To show how the pieces in the toolkit cooperate, we demonstrate a location-based access control application where a user's smartphone can control a room's lighting, but only from within the room. Further, data streams from the phone and nearby sensors are used to provide a constant lighting service which attempts to maintain a user-set brightness under variable external lighting conditions. Joshua Adkins, Bradford Campbell, Samuel DeBruin, Branden Ghena, Benjamin P. Kempke, Noah Klugman, Ye-Sheng Kuo, Deepika Natarajan, Pat Pannuto, Thomas Zachariah, Alan Zhen, Prabal Dutta |
SenSys | 11 |