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Data Fusion for Intelligent Crowd Monitoring and Management Systems: A Survey
2021
IEEE Access
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Based on this, we propose a multi-sensor, multi-modal, and dimensional ICMMS architecture based on data fusion. ...
In this paper, we first survey the literature on data fusion application in crowd monitoring systems as we are developing a state-of-the-art ICMMS with data fusion as a major platform enabler. ...
ACKNOWLEDGMENT The authors extend their appreciation to the Deputyship for Research & Innovation, Ministry of Education in Saudi Arabia for funding this research work through the project number (227). ...
doi:10.1109/access.2021.3060631
fatcat:pmcenkqrnjgw5gixqgogau52jq
Big Data Knowledge Service Framework based on Knowledge Fusion
2016
Proceedings of the 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management
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This paper firstly analyses the requirements of big data knowledge service and the contents of knowledge fusion, constructs a multi-level architecture of knowledge service based on knowledge fusion. ...
Finally, a system framework of big data knowledge service is proposed based on knowledge fusion processes, in which processes of both knowledge fusion and knowledge service are organically combined together ...
In specific situations, one requirement might correspond with a variety of service allocation strategies. ...
doi:10.5220/0006036301160123
dblp:conf/ic3k/WangFL16
fatcat:k3smmbvghjejpguo7q3gofddse
A Multi-Disciplinary University Research Initiative in Hard and Soft information fusion: Overview, research strategies and initial results
2010
2010 13th International Conference on Information Fusion
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a distributed Level 1 and Level 2 data fusion environment. ...
Public reporting burden for the collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining ...
One core Soft data source is the content of human report messages; we see a second Soft source as coming from Open Sources such as web-based information [6] . ...
doi:10.1109/icif.2010.5712083
fatcat:cji3rzejhvdcdaycgjuvnh3i7m
User Interests Modeling Based on Multi-source Personal Information Fusion and Semantic Reasoning
[chapter]
2011
Lecture Notes in Computer Science
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We give different fusion strategies for interest data from multiple sources. ...
In this paper, we propose an approach of user interest modeling based on multi-source personal information fusion and semantic reasoning. ...
A Weighted Fusion Approach for Multi-source User Interests Modeling The generation of ranked interests lists can be based on various interests ranking strategies [6] . ...
doi:10.1007/978-3-642-23620-4_23
fatcat:56wnevchr5fglobcdmy4n3bfoy
Information Fusion Using Ontology-Based Communication between Agents
2009
˜The œinternational Arab journal of e-technology
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The distribution of on-line applications among network nodes may require obtaining acceptable results from data analysis of multiple sensors. ...
The proposed agent based model in this paper can afford a promising model for obtaining acceptable information in case of multiple sensors. ...
Data Fusion Domain Efficient management of resources (i.e., sensing, computing, and communications) through data fusion domain is important to the success of on-line applications with multiple data sources ...
dblp:journals/iajet/Sobh09
fatcat:7zsrltaibngfdbbwwgghp4pwz4
Boundary Aware Multi-Focus Image Fusion Using Deep Neural Network
[article]
2019
arXiv
pre-print
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Since it is usually difficult to capture an all-in-focus image of a 3D scene directly, various multi-focus image fusion methods are employed to generate it from several images focusing at different depths ...
the relative defocus information of the two source images. (2) After analyzing the different situations for patches far away from and near the FDB, we use two networks to handle them respectively. (3) ...
For all of these traditional fusion methods, both transform domain-based and spatial domain-based, the defocus level descriptors and the comparison rules need to be designed manually. ...
arXiv:1904.00198v1
fatcat:4vv5b52wufh3phbrvvy4ijv4c4
Systematic Analysis of a Military Wearable Device Based on a Multi-Level Fusion Framework: Research Directions
2019
Sensors
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However, although densely deployed wearable sensors provide a platform for comprehensively monitoring the status of soldiers, wearable technology based on multi-source fusion lacks a generalized research ...
Therefore, this paper proposes a multi-level fusion framework (MLFF) based on Body Sensor Networks (BSNs) of soldiers, and describes a model of the deployment of heterogeneous sensor networks. ...
From the perspective of the fusion center, the MLFF provides an integrated framework for existing wearable-technology-based multi-source fusion methods. ...
doi:10.3390/s19122651
fatcat:f4kxqgyopvgfbjefn7mkduaasi
Public Opinion Data Fusion Method based on Ontology Semantics
2019
International Journal of Performability Engineering
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Then, the multi-indicator ontology model and method for public opinion decision-making are constructed, and the public opinion data fusion model based on ontology semantics is proposed, which realizes ...
the relevance analysis and semantic fusion of domain knowledge. ...
Based on the data-level fusion ontology of granular computing and ontology-related data for decision-making data-level fusion, a heterogeneous data element semantic fusion method suitable for different ...
doi:10.23940/ijpe.19.11.p8.28992907
fatcat:rw77ckcojzbnhaiyep5gzfk2xy
Multi-agent-based System Technologies in Environmental Issues
[chapter]
2009
Information Technologies in Environmental Engineering
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of the information sources, lack of data quality and need to use numerous data mining methods. ...
Environmental impact assessment (EIA) is one of the principal indicators for human health evaluation as well as for further issues in occupational medicine, public health and planning. ...
, providing a full life-cycle support of data analysis, using such techniques as clustering, classification, logical and association rule-based reasoning, and other methods, which are highly demanded for ...
doi:10.1007/978-3-540-88351-7_41
dblp:conf/itee/SokolovaF09
fatcat:anym5xrbfrh4jlqwxwxdvojady
Study on Monitoring System for Pipeline Security Based on Multi-Sensor Data Fusion Technique
[chapter]
2012
Lecture Notes in Electrical Engineering
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Based on multi-sensor data fusion technique, monitoring system for pipeline security is designed. ...
The non-stationary signal analysis method based on empirical mode decomposition is used to process the signals. ...
Based on multi-sensor data fusion technique, a new type of pipe safety monitoring system is designed. ...
doi:10.1007/978-3-642-34528-9_83
fatcat:kzxic72y55g7dd34fum5fpsvt4
Multi-source data fusion study in scientometrics
2017
Scientometrics
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To obtain a clearer and deeper analysis of the MSDF model, this paper further focuses on the application of MSDF in topic identification based on text analysis of scientific literatures. ...
This paper provides an introduction to multi-source data fusion (MSDF) and comprehensively overviews the ingredients and challenges of MSDF in scientometrics. ...
Multi-source data fusion (MSDF) refers to comprehensively fusing different types of information sources or relational data in the analysis procedure by using specific methods in order to reveal the characteristics ...
doi:10.1007/s11192-017-2290-5
fatcat:xo2sofam6fbyrfparphqzjanni
Credal Transfer Learning with Multi-estimation for Missing Data
2020
IEEE Access
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To address this problem, we propose credal transfer learning (CTL) with multi-estimation for missing data based on belief function theory by introducing uncertainty and imprecision in data imputation procedure ...
However, the classification of missing data (or incomplete data) is a challenging task for TL because different strategies of imputation may have strong impacts on learning models. ...
In this situation, the CTL method only obtains a specific result. One can find that the CTL method still has a significant effect on these data sets. ...
doi:10.1109/access.2020.2983319
fatcat:53kerpj6yjc4db7npmmplavwrq
Research Opportunities in Contextualized Fusion Systems. The Harbor Surveillance Case
[chapter]
2011
Lecture Notes in Computer Science
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The design of modern Information Fusion (IF) systems involves a complex process to achieve the requirements in the selected applications, especially in domains with a high degree of customization. ...
Among modern applications for IF technology is the case of surveillance of complex harbor environments that are comprised of large numbers of surface vessels, high-value and dangerous facilities, and many ...
Kessel, at NATO Undersea Research Centre, for helpful discussions on port traffic in the presented case of study. ...
doi:10.1007/978-3-642-21498-1_78
fatcat:3bgbvywbujdktnjjzal454632e
Pseudo‐Siamese residual atrous pyramid network for multi‐focus image fusion
2021
IET Image Processing
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Therefore, the paper focus on the fusion of two multi-focus images. ...
Multi-focus image fusion uses two or more images focused on different targets to fuse scene information, which can solve this problem to a great extent. ...
For decades, various methods have been proposed. Traditional multi-focus image fusion usually uses the method based on transform domain or method based on spatial domain [2] . ...
doi:10.1049/ipr2.12326
fatcat:jyhezmovf5cd7ljis6m4zhefji
Context-based Information Fusion: A survey and discussion
2015
Information Fusion
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This survey aims to provide a comprehensive status of recent and current research on context-based Information Fusion (IF) systems, tracing back the roots of the original thinking behind the development ...
In addition to the survey, several novel context exploitation dynamics and architectural aspects peculiar to the fusion domain are presented and discussed. ...
Padovitz et al. propose in [99] an approach for situation classification based on Multi-Attribute Utility Theory (MAUT) sensor fusion. ...
doi:10.1016/j.inffus.2015.01.002
fatcat:ldab5flzm5ailmyhd5nj77jv5u
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