Uncertainty in sensor data acquisition for SOA system
Sign Up to like & getrecommendations! Published in 2017 at "Neural Computing and Applications"
DOI: 10.1007/s00521-017-2910-2
Abstract: The computational data received from sensors are varying according to situation depending on data accuracy. So, for a particular time period, it is very tough to find the appropriate data for its certainty. In this… read more here.
Keywords: sensor data; sensor; soa system; service ... See more keywords
Fall prediction using behavioural modelling from sensor data in smart homes
Sign Up to like & getrecommendations! Published in 2019 at "Artificial Intelligence Review"
DOI: 10.1007/s10462-019-09687-7
Abstract: The number of methods for identifying potential fall risk is growing as the rate of elderly fallers continues to rise in the UK. Assessments for identifying risk of falling are usually performed in hospitals and… read more here.
Keywords: sensor data; risk; fall prediction; prediction using ... See more keywords
Human Activity Recognition from Body Sensor Data using Deep Learning
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Medical Systems"
DOI: 10.1007/s10916-018-0948-z
Abstract: In recent years, human activity recognition from body sensor data or wearable sensor data has become a considerable research attention from academia and health industry. This research can be useful for various e-health applications such… read more here.
Keywords: sensor data; human activity; activity; activity recognition ... See more keywords
Targets Classification Based on Multi-sensor Data Fusion and Supervised Learning for Surveillance Application
Sign Up to like & getrecommendations! Published in 2019 at "Wireless Personal Communications"
DOI: 10.1007/s11277-018-6114-6
Abstract: In surveillance application scenarios, like border security and area monitoring, potential targets to be detected may be either an unarmed person, a soldier carrying ferrous weapon or a vehicle. Detection is the first phase of… read more here.
Keywords: multi sensor; data fusion; fusion; surveillance application ... See more keywords
Method for room occupancy detection based on trajectory of indoor climate sensor data
Sign Up to like & getrecommendations! 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
Assessment of perceived indoor environmental quality, stress and productivity based on environmental sensor data and personality categorization
Sign Up to like & getrecommendations! Published in 2020 at "Building and Environment"
DOI: 10.1016/j.buildenv.2020.106787
Abstract: Abstract Indoor environmental quality (IEQ) has an influence on peoples' health, cognitive performance and productivity in school and office environments. This study used environmental temperature, humidity, air pressure, and CO2 sensor data collected during 3.5–7… read more here.
Keywords: sensor data; productivity; stress productivity; environmental quality ... See more keywords
A procedure to convert field sensor data for finite element model inputs and its validation
Sign Up to like & getrecommendations! Published in 2019 at "Construction and Building Materials"
DOI: 10.1016/j.conbuildmat.2019.03.259
Abstract: Abstract This study demonstrates a methodology to determine the viscoelastic properties of Asphalt Concrete (AC) through embedded sensors such as strain gages. Determination of AC viscoelastic parameters are very quick, easy and efficient if the… read more here.
Keywords: field; finite element; model; element model ... See more keywords
Multi-sensor Data Fusion for Online Quality Assurance in Flash Welding
Sign Up to like & getrecommendations! Published in 2019 at "Procedia Manufacturing"
DOI: 10.1016/j.promfg.2019.06.162
Abstract: Abstract The flash welding process is a mainstream to manufacture anchor chains in the shipbuilding industry. However, traditional quality control approaches only use the tension test of the whole chain. This cannot adequately guarantee the… read more here.
Keywords: flash welding; process; quality; sensor data ... See more keywords
Dynamic supply chain decisions based on networked sensor data: an application in the chilled food retail chain
Sign Up to like & getrecommendations! Published in 2017 at "International Journal of Production Research"
DOI: 10.1080/00207543.2015.1047976
Abstract: With large volume of product flows and complex supply chain processes, more data than ever before is being generated and collected in supply chains through various tracking and sensory technologies. The purpose of this study… read more here.
Keywords: sensor data; chain; supply; supply chain ... See more keywords
Vehicle sensor data-based transportation research: Modeling, analysis, and management
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Intelligent Transportation Systems"
DOI: 10.1080/15472450.2019.1586335
Abstract: Zhengbing He , Jia Hu , B. Brian Park , and Michael W. Levin Beijing Key Laboratory of Traffic Engineering, Beijing University of Technology, Beijing, China; Key Laboratory of Road and Traffic Engineering of the… read more here.
Keywords: transportation; engineering; sensor data; university ... See more keywords
A Scalable, Research Oriented, Generic, Sensor Data Platform
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DOI: 10.1109/access.2018.2852656
Abstract: Research interests spanning numerous domains increasingly rely upon computational systems which can store and process a large volume of variable data that is stored at high velocity–representing a big data problem. This is particularly notable… read more here.
Keywords: research oriented; sensor data; data platform; research ... See more keywords