Results 11 to 20 of about 1,174,484 (222)
Multi-Sensor Data Fusion for Remaining Useful Life Prediction of Machining Tools by IABC-BPNN in Dry Milling Operations. [PDF]
Sensors (Basel), 2020 Inefficient remaining useful life (RUL) estimation may cause unpredictable failures and unscheduled maintenance of machining tools. Multi-sensor data fusion will improve the RUL prediction reliability by fusing more sensor information related to the ...
Liu M +5 more
europepmc +2 more sources
City Data Fusion: Sensor Data Fusion in the Internet of Things
, 2015 Internet of Things (IoT) has gained substantial attention recently and play a significant role in smart city application deployments. A number of such smart city applications depend on sensor fusion capabilities in the cloud from diverse data sources. We
Charith Perera +6 more
core +2 more sources
Data Fusion in Wireless Sensor Networks [PDF]
International Journal of Distributed Sensor Networks, 2014 1 Department of Electronic and Information Engineering, Key Laboratory of Communication and Information Systems, Beijing Municipal Commission of Education, Beijing Jiaotong University, Beijing 100044, China 2Department of Computer Systems Technology, North Carolina A&T State University, Greensboro, NC 27411, USA 3Department of Computer Science ...
Yun Liu, Qing-An Zeng, Ying-Hong Wang
doaj +2 more sources
Real-Time Onboard 3D State Estimation of an Unmanned Aerial Vehicle in Multi-Environments Using Multi-Sensor Data Fusion. [PDF]
Sensors (Basel), 2020 The question of how to estimate the state of an unmanned aerial vehicle (UAV) in real time in multi-environments remains a challenge. Although the global navigation satellite system (GNSS) has been widely applied, drones cannot perform position ...
Du H, Wang W, Xu C, Xiao R, Sun C.
europepmc +2 more sources
Multi-Sensor Data Fusion Algorithm Based on Trust Degree and Improved Genetics. [PDF]
Sensors (Basel), 2019 Aiming at the problems of low data fusion precision and poor stability in greenhouse wireless sensor networks (WSNs), a multi-sensor data fusion algorithm based on trust degree and improved genetics is proposed.
Sun G, Zhang Z, Zheng B, Li Y.
europepmc +2 more sources
A Reliability-Based Method to Sensor Data Fusion [PDF]
Sensors, 2017 Multi-sensor data fusion technology based on Dempster–Shafer evidence theory is widely applied in many fields. However, how to determine basic belief assignment (BBA) is still an open issue.
Wen Jiang, Miaoyan Zhuang, Chunhe Xie
doaj +2 more sources
A Weighted Combination Method for Conflicting Evidence in Multi-Sensor Data Fusion. [PDF]
Sensors (Basel), 2018 Dempster–Shafer evidence theory is widely applied in various fields related to information fusion. However, how to avoid the counter-intuitive results is an open issue when combining highly conflicting pieces of evidence.
Xiao F, Qin B.
europepmc +2 more sources
Atmosphere, 2023 In order to study the influence of typical coal-fired flue gas components on the supersaturation characteristics in a multisection growth tube, a two-dimensional heat and mass transfer model was used to predict the supersaturation profiles formed by the ...
Yan Yu +6 more
doaj +1 more source
Multi-Sensor Data Fusion for Real-Time Multi-Object Tracking
Processes, 2023 Sensor data fusion is essential for environmental perception within smart traffic applications. By using multiple sensors cooperatively, the accuracy and probability of the perception are increased, which is crucial for critical traffic scenarios or ...
Numan Senel +3 more
semanticscholar +1 more source
Virtual and Physical Prototyping, 2023 We developed and applied a novel approach for shape agnostic detection of multiscale flaws in laser powder bed fusion (LPBF) additive manufacturing using heterogenous in-situ sensor data.
Ben Bevans +7 more
semanticscholar +1 more source