Name
Abstract | ||
|---|---|---|
Office buildings, schools, stores, hotels, restaurants and other commercial, and institutional buildings generate significant amounts of waste. While buildings are becoming increasingly aware of their energy and water usage, the capability to track waste and material use with the same ease has remained beyond the reach of most building facilities managers [1,2]. Studies have focused on the use of sensors for garbage collection at a city level [3]. However, these studies consider waste as bulk and do not itemize and differentiate between their types and amounts [4]. In addition, to achieve the recycling goals, the facilities management offices have to manually or semi-automatically sort through the waste in order to separate the recycle waste apart manually. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1145/3277593.3277627 | PROCEEDINGS OF THE 8TH INTERNATIONAL CONFERENCE ON THE INTERNET OF THINGS (IOT'18) |
Field | DocType | Citations |
Unconventional computing,Computer security,Computer science,Facility management,sort,Transport engineering,Garbage collection,The Internet | Conference | 0 |
PageRank | References | Authors |
0.34 | 2 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Arash Tavakoli | 1 | 4 | 3.52 |
| Amir Ashrafi | 2 | 7 | 1.86 |
| Arsalan Heydarian | 3 | 0 | 2.03 |
| Madhur Behl | 4 | 75 | 12.80 |