Overlapping Coalition Formation for Efficient Data Fusion in Multi-Sensor Networks
, 2006 This paper develops new algorithms for coalition formation within multi-sensor networks tasked with performing wide-area surveillance. Specifically, we cast this application as an instance of coalition formation, with overlapping coalitions. We show that
Rajdeep K. Dash +9 more
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Multi-Sensor Data Fusion Solutions for Blind and Visually Impaired: Research and Commercial Navigation Applications for Indoor and Outdoor Spaces. [PDF]
Sensors (Basel), 2023 Theodorou P, Tsiligkos K, Meliones A.
europepmc +1 more source
Advanced Engineering Materials, EarlyView.A unified research data management framework for heterogeneous materials data is presented. The system integrates multimodal datasets using ontologies and knowledge graphs, enabling interoperability and FAIR (findable, accessible, interoperable, reusable) data principles. By linking data across scales and workflows, it supports reproducible, Artifitial
Doaa Mohamed +6 more
wiley +1 more source
Multimodal Gait Abnormality Recognition Using a Convolutional Neural Network-Bidirectional Long Short-Term Memory (CNN-BiLSTM) Network Based on Multi-Sensor Data Fusion. [PDF]
Sensors (Basel), 2023 Li J, Liang W, Yin X, Li J, Guan W.
europepmc +1 more source
Towards Defect Phase Diagrams: From Research Data Management to Automated Workflows
Advanced Engineering Materials, EarlyView.A research data management infrastructure is presented for the systematic integration of heterogeneous experimental and simulation data required for defect phase diagrams. The approach combines openBIS with a companion application for large‐object storage, automated metadata extraction, provenance tracking and federated data access, thereby supporting ...
Khalil Rejiba +5 more
wiley +1 more source
Measures of effectiveness for data fusion based on information entropy [PDF]
, 2000 This thesis is concerned with measuring and predicting the performance and effectiveness of a data fusion process. Its central proposition is that information entropy may be used to quantify concisely the effectiveness of the process.
Noonan, C.A., Noonan, Colin Anthony
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A Method to Determine Basic Probability Assignment in Context Awareness of a Moving Object
International Journal of Distributed Sensor Networks, 2013 Determining basic probability assignment (BPA) is essential in multisensor data fusion by using Fussy Theory or Dempster-Shafer Theory (DST). The study presented a method to determine BPA through sensor data only reported by sensors without depending on ...
Donghyok Suh, Juhye Yook
doaj +1 more source
A Multi-Sensor Data-Fusion Method Based on Cloud Model and Improved Evidence Theory. [PDF]
Sensors (Basel), 2022 Xiang X, Li K, Huang B, Cao Y.
europepmc +1 more source
Advanced Engineering Materials, EarlyView.Additive manufacturing provides precise control over the placement of continuous fibres within polymer matrices, enabling customised mechanical performance in composite components. This article explores processing strategies, mechanical testing, and modelling approaches for additive manufactured continuous fibre‐reinforced composites.
Cherian Thomas, Amir Hosein Sakhaei
wiley +1 more source
Multiple-objective sensor management and optimisation
, 2009 One of the key challenges associated with exploiting modern Autonomous Vehicle technology for military surveillance tasks is the development of Sensor Management strategies which maximise the performance of the on-board Data-Fusion systems.
Page, Scott F, Page, Scott F.
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