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Data Fusion for Intelligent Crowd Monitoring and Management Systems: A Survey

Xianzhi Li, Qiao Yu, Bander Alzahrani, Ahmed Barnawi, Ahmed Alhindi, Daniyal Alghazzawi, Yiming Miao
2021 IEEE Access  
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

Fei Wang, Hao Fan, Gang Liu
2016 Proceedings of the 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management  
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

James Llinas, R Nagi, D Hall, J Lavery
2010 2010 13th International Conference on Information Fusion  
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]

Yunfei Ma, Yi Zeng, Xu Ren, Ning Zhong
2011 Lecture Notes in Computer Science  
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

Tarek S. Sobh
2009 ˜The œinternational Arab journal of e-technology  
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]

Haoyu Ma, Juncheng Zhang, Shaojun Liu, Qingmin Liao
2019 arXiv   pre-print
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

Han Shi, Hai Zhao, Yang Liu, Wei Gao, Sheng-Chang Dou
2019 Sensors  
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

Wang Pengju, Xue Huifeng, Yu Zhe, Zhang Feng
2019 International Journal of Performability Engineering  
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]

Marina V. Sokolova, Antonio Fernández-Caballero
2009 Information Technologies in Environmental Engineering  
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]

Jie Zhang
2012 Lecture Notes in Electrical Engineering  
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

Hai-Yun Xu, Zeng-Hui Yue, Chao Wang, Kun Dong, Hong-Shen Pang, Zhengbiao Han
2017 Scientometrics  
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

Zongfang Ma, Zhe Liu, Yiru Zhang, Lin Song, Jihuan He
2020 IEEE Access  
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]

Jesus Garcia, José M. Molina, Tarunraj Singh, John Crassidis, James Llinas
2011 Lecture Notes in Computer Science  
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

Limai Jiang, Hui Fan, Jinjiang Li, Changhe Tu
2021 IET Image Processing  
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

Lauro Snidaro, Jesús García, James Llinas
2015 Information Fusion  
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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