Photo from wikipedia
Sign Up to like & get
recommendations!
0
Published in 2017 at "Building and Environment"
DOI: 10.1016/j.buildenv.2017.01.023
Abstract: Abstract Significant energy savings can be achieved by operating heating, ventilation and air conditioning controllers using a feedback from sensor-based occupancy detection methods. This paper presents a novel plug-and-play occupancy detection method based on the…
read more here.
Keywords:
sensor data;
sensor;
method;
occupancy detection ... See more keywords
Sign Up to like & get
recommendations!
0
Published in 2018 at "Building and Environment"
DOI: 10.1016/j.buildenv.2018.01.043
Abstract: Abstract We propose an Internet of Things (IoT)-based occupancy detection system using change patterns of dust concentrations such as particulate matter. Previous research studies have used other features such as visual, chemical, or acoustic data.…
read more here.
Keywords:
system;
iot based;
based occupancy;
occupancy ... See more keywords
Sign Up to like & get
recommendations!
0
Published in 2019 at "Heliyon"
DOI: 10.1016/j.heliyon.2019.e02450
Abstract: Occupancy detection using ambient sensors has many benefits such as saving energy and money, enhancing security monitoring systems, and maintaining the privacy. However, sensors data suffers from uncertainty and unreliability due to acquisition errors or…
read more here.
Keywords:
using neutrosophic;
detection;
detection using;
fusion ... See more keywords
Photo from wikipedia
Sign Up to like & get
recommendations!
1
Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3146346
Abstract: Recently, a great interest has been dedicated to improving data fusion techniques for indoor occupancy detection. Indoor occupancy detection is extensively used in various applications, such as energy consumption control, surveillance systems, and disaster management.…
read more here.
Keywords:
fusion;
sensors data;
detection;
occupancy detection ... See more keywords
Photo from wikipedia
Sign Up to like & get
recommendations!
1
Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2023.3261557
Abstract: We present a new machine learning based bed occupancy detection system that uses only the accelerometer signal captured by a bed-attached consumer smartphone. Automatic bed occupancy detection is necessary for automatic long-term cough monitoring since…
read more here.
Keywords:
occupancy;
cough;
monitoring;
occupancy detection ... See more keywords
Sign Up to like & get
recommendations!
0
Published in 2019 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2019.2929822
Abstract: Device-free occupancy detection is very important for certain Internet of Things applications that do not require the user to carry a receiver. This paper achieves the device-free occupancy detection with RF fingerprinting, which labels each…
read more here.
Keywords:
occupancy detection;
device free;
free occupancy;
Photo from wikipedia
Sign Up to like & get
recommendations!
2
Published in 2022 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2021.3091098
Abstract: Internet of Things (IoT) technologies (e.g., power-efficient occupancy-based energy management systems) are increasingly deployed in commercial buildings to reduce building energy consumption. However, the sensors involved in such systems are rarely adopted in residential houses…
read more here.
Keywords:
occupancy;
scheme;
occupancy detection;
trust based ... See more keywords
Photo from wikipedia
Sign Up to like & get
recommendations!
2
Published in 2023 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2022.3201877
Abstract: Occupancy information plays a key role in analyzing and improving building energy performance. The advances of Internet of Things (IoT) technologies have engendered a shift in measuring building occupancy with IoT sensors, in which cameras…
read more here.
Keywords:
building occupancy;
occupancy;
detection;
occupancy detection ... See more keywords
Sign Up to like & get
recommendations!
0
Published in 2021 at "Canadian Journal of Fisheries and Aquatic Sciences"
DOI: 10.1139/cjfas-2020-0325
Abstract: Freshwater mussels (Bivalvia: Unionidae) are the most imperilled taxon in Canada. To facilitate species recovery efforts, an understanding of species distribution and habitat that supports species ...
read more here.
Keywords:
detection wavyrayed;
lampsilis fasciola;
occupancy detection;
lampmussel lampsilis ... See more keywords