Results 21 to 30 of about 69 (69)
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International Journal of Distributed Systems and Technologies, 2016
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.
Wang, Meisong +6 more
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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.
Wang, Meisong +6 more
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A Categorical Approach to Data Fusion [PDF]
2006 9th International Conference on Information Fusion, 2006 Using suitable topoi of presheaves, a categorical definition of measure is given. When the general definition is specialized to particular categories made of sets of possibility, probability or imprecise probability measures, the internal language of the corresponding topos gives a valid and complete proof system for the corresponding semantics.
Chemello Gaetano, Sossai Claudio
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Electronics & Communication Engineering Journal, 1997
Multisensor data fusion is a key enabling technology in which information from a number of sources is integrated to form a unified picture [1]. This concept has been applied to numerous fields and new applications are being explored constantly. Even though most multisensor data fusion applications have been developed relatively recently, the notion of ...
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Multisensor data fusion is a key enabling technology in which information from a number of sources is integrated to form a unified picture [1]. This concept has been applied to numerous fields and new applications are being explored constantly. Even though most multisensor data fusion applications have been developed relatively recently, the notion of ...
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Fusion methodologies for biomedical data
Journal of Proteomics, 2011Data fusion methods are powerful tools for integrating the different views of an organism provided by various types of experimental data. We describe various methodologies for integrating and drawing inferences from a collection of biomedical data, primarily focusing on protein and gene expression data.
Tsiliki G., Kossida S.
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Information Fusion, 2008
This paper describes a new approach of heterogeneous data source fusion. Data sources are either static or active: static data sources can be structured or semi-structured, whereas active sources are services. In order to develop data sources fusion systems in dynamic contexts, we need to study all issues raised by the matching paradigms.
Nachouki, Gilles, Quafafou, Mohamed
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This paper describes a new approach of heterogeneous data source fusion. Data sources are either static or active: static data sources can be structured or semi-structured, whereas active sources are services. In order to develop data sources fusion systems in dynamic contexts, we need to study all issues raised by the matching paradigms.
Nachouki, Gilles, Quafafou, Mohamed
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Refractivity data fusion [PDF]
2015 USNC-URSI Radio Science Meeting (Joint with AP-S Symposium), 2015 A hybrid method for fusing refractivity information derived from electromagnetic sensors with background fields from a numerical weather prediction (NWP) model is described. Refractivity defined in Cartesian coordinates is mapped into a space of “diagnostic” parameters that coincide with those that have been used in inversion algorithms such as ...
Ana K. Ascencio +4 more
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Data fusion of multisensor data
KES'2000. Fourth International Conference on Knowledge-Based Intelligent Engineering Systems and Allied Technologies. Proceedings (Cat. No.00TH8516), 2002The problem of data fusion of multisensor data for multitarget tracking is considered. A hierarchical fusion system is presented for fusion of numerical data from multiple local radar stations, and a fuzzy clustering technique is introduced. Simulation results are presented for a scenario having three local radar stations and three targets with ...
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IEEE Transactions on Knowledge and Data Engineering, 2015
In a relational database, tuples are called “duplicate” if they describe the same real-world entity. If such duplicate tuples are observed, it is recommended to remove them and to replace them with one tuple that represents the joint information of the duplicate tuples to a maximal extent. This remove-and-replace operation is called a fusion operation.
Antoon Bronselaer +2 more
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In a relational database, tuples are called “duplicate” if they describe the same real-world entity. If such duplicate tuples are observed, it is recommended to remove them and to replace them with one tuple that represents the joint information of the duplicate tuples to a maximal extent. This remove-and-replace operation is called a fusion operation.
Antoon Bronselaer +2 more
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Data Fusion with Entropic Priors
2011In classification problems, lack of knowledge of the prior distribution may make the application of Bayes' rule inadequate. Uniform or arbitrary priors may often provide classification answers that, even in simple examples, may end up contradicting our common sense about the problem.
PALMIERI, Francesco, D. CIUONZO
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2008
Multisensor data fusion is the process of combining observations from a number of different sensors to provide a robust and complete description of an environment or process of interest. Data fusion finds wide application in many areas of robotics such as object recognition, environment mapping, and localization.
Thomas C. Henderson, Hugh Durrant-Whyte
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Multisensor data fusion is the process of combining observations from a number of different sensors to provide a robust and complete description of an environment or process of interest. Data fusion finds wide application in many areas of robotics such as object recognition, environment mapping, and localization.
Thomas C. Henderson, Hugh Durrant-Whyte
openaire +1 more source