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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 ...
In order to improve the decision-making level for public opinion responses and realize the semantic fusion of multi-level and multi-source heterogeneous public opinion information, an ontology-based public ...
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
Recent developments in granular computing: A bibliometrics study
2008
2008 IEEE International Conference on Granular Computing
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Based on the analysis of the impact papers, a list of key issues of granular computing research is given. We also summarize recent developments of research in granular computing. ...
This is a follow-up of the paper "A ten-year review of granular computing" published in 2007. We will continue to examine the most influential papers in granular computing. ...
In recent years, multi-agent systems have emerged as one of the interesting architectures facilitating distributed collaboration and distributed problem solving. ...
doi:10.1109/grc.2008.4664798
dblp:conf/grc/Yao08
fatcat:snsouegogzbptls6gtoxo2z73u
Generic Pipelined Multi-Agents Architecture for Multimedia Multimodal Software Environment
2004
Journal of Object Technology
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In this paper, a generic comprehensive agent-based architecture for multimodal engine fusion is proposed. The architecture is sketched in term of its relevant components. ...
The generic components of the engine fusion are then included in a pipelined based-agent global architecture for which the architectural quality attributes are outlined. ...
It lets the system accept or refuse the multi input information for several possible fusions (selection process); and it helps the architecture choose, between several fusions, the most suitable command ...
doi:10.5381/jot.2004.3.8.a3
fatcat:i7kvh3xyrndihlhjhqzl5nbhfq
Enforcing situation awareness with granular computing: a systematic overview and new perspectives
2016
Granular Computing
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Moreover, in a Situation Identification process, huge volumes of heterogeneous data need processing (e.g. fusion). ...
With respect to this issue, Granular Computing is an information processing theory for using "granules" (e.g. subsets, intervals, fuzzy sets) effectively to build an efficient computational model for dealing ...
intelligence and Semantic Web techniques to support the development of a multi-agent-based framework for SA aligned with the GrC principles (Sect. 4). ...
doi:10.1007/s41066-015-0005-y
fatcat:crqtymj6jncbtowit34fl5whnu
From Sensors to Applications: A Proposal to Fill the Gap
2013
Sensors & Transducers
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The proposed computational model uses the notion of 'holon', a concept that is well suited for multi-level information processing, from the raw data level up to the knowledge-oriented information level ...
For test purposes, a data analysis platform called H-GIS that grounds on the current proposal has been employed and a case study has been commented. ...
This multi-level information processing model has been the driver for developing a data analysis platform called H-GIS (Holonic-Granularity Inference System, website: http://www.hgis.it). ...
doaj:906643b2c5ae4c7493a7a8d1e3f64a49
fatcat:rghp6gyszjbghds4jbx3ilykyy
A design space for multimodal systems
1993
Proceedings of the SIGCHI conference on Human factors in computing systems - CHI '93
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First, the notion of "multimodal system" is clarified. We aim at proving that two main features of a multimodal system are the concurrency of processing and the fusion of input/output data. ...
In the last section, we present a software architecture model of multimodal systems which supports these two salient properties: concurrency of processing and data fusion. ...
Serghiou for reviewing the paper, and to James L. Crowley for help with style and English Grammar. ...
doi:10.1145/169059.169143
dblp:conf/chi/NigayC93
fatcat:bbadgka57zgwtde7iy7okv2lfu
THE CLOUD GNSS DATA FUSION APPROACH BASED ON THE MULTI-AGENT AUTHENTICATION PROTOCOLS' ANALYSIS IN THE CORPORATE LOGISTICS MANAGEMENT SYSTEMS
2022
Radìoelektronika, Ìnformatika, Upravlìnnâ
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An equations system that identifies the vehicles' location based on the method of multi-agent authentication process analysis after the GPS signal loss, was proposed. ...
Thus, data processing must fulfill in the cloud dispatching center and data flow fusion is needed. ...
Without the provided datasets of its Integrated Shipyard Management System, without superior knowledge and experience, it would not be possible to obtain qualitative results in the research and therefore ...
doi:10.15588/1607-3274-2021-4-9
fatcat:ekmpyzscwrdi5etmhj34bx44a4
Multisensor Agent Based Intrusion Detection
2007
Zenodo
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In this paper we propose a framework for multisensor intrusion detection called Fuzzy Agent-Based Intrusion Detection System. ...
A unique feature of this model is that the agent uses data from multiple sensors and the fuzzy logic to process log files. ...
A MAS (multi agent systems) is an emerging subfield of AI that aims to provide both principles for construction of complex systems involving multiple agents and mechanisms for coordination of independent ...
doi:10.5281/zenodo.1058091
fatcat:2aels2aesff4dikbryyseuehni
Special issue SOCO 2015
2016
Soft Computing - A Fusion of Foundations, Methodologies and Applications
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Finally, the application of multi-agent system to support decision-making process in design for recycling is presented in the paper by Diakun et al. ...
Del Val et al. present a multi-agent system that automates the process of gathering data from users' activity in social networks and performs an in-depth analysis of the evolution of social behaviour at ...
doi:10.1007/s00500-016-2309-5
fatcat:wwjh6lxexrfjrct7obhlsar45y
Random set theoretic soft/hard data fusion framework
2014
IEEE Transactions on Aerospace and Electronic Systems
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Figure 3 . 5 : 35 The multi-agent organization of developed fusion system. soft and hard data and forwarding results to the consensus propagation agent (CPA) and the consensus filter agent (CFA) for aggregation ...
Rough set theory allows for fusion of imprecise data approximated based merely on its internal structure (granularity). ...
doi:10.1109/taes.2014.120621
fatcat:r2uxjyakejb4xjdz4emp7faiiq
A Multi-agent Architecture Based on the BDI Model for Data Fusion in Visual Sensor Networks
2010
Journal of Intelligent and Robotic Systems
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In this article, a Multi-agent architecture based on the Belief-Desire-Intention (BDI) model for processing the information and fuse data in a distributed visual sensor network is presented. ...
This fusion process is used for two different purposes: (1) to obtain a continuity in the tracking along the field of view of the cameras involved in the distributed network, (2) to improve the quality ...
Acknowledgements The authors would like to thank the anonymous reviewers for their valuable comments that help to improve the manuscript. ...
doi:10.1007/s10846-010-9448-1
fatcat:nui252kj75evvi5f5dc5oz6pma
Addressing the Complexities of Big Data Analytics in Healthcare: The Diabetes Screening Case
2015
Australasian Journal of Information Systems
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Clinical decision-support is gaining widespread attention as medical institutions and governing bodies turn towards better management of this data for effective and efficient healthcare delivery and quality ...
We present a case study on a large diabetes screening project to integrate, converge and derive expedient insights from such an accumulation of data and make recommendations for a successful BDA implementation ...
Based on our investigations, the key complexities impacting BDA in healthcare are granular data accumulation, temporal abstraction, multimodality, unstructured data, and integration of multi-source data ...
doi:10.3127/ajis.v19i0.1183
fatcat:z5afz377qna6lc3qfu6nhgkts4
High-level fusion: Issues in developing a formal theory
2010
2010 13th International Conference on Information Fusion
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computing processes, and (3) scalability of products such as common and user-defined operational pictures. ...
Network-centric operations demand an increasingly sophisticated level of interoperation and information fusion for an escalating number and throughput of sensors and human processes. ...
multi-source fusion and situation awareness. ...
doi:10.1109/icif.2010.5711860
fatcat:6gasp47wsjaqlmkl5xmtadpave
Multiple Spatial Model Fusion in Heterogeneous Sensor Networks
2014
International Journal of Multimedia and Ubiquitous Engineering
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With the growth of location-based services (LBS), location-based data is a crucial role for many sensor-network applications. ...
Furthermore, we provide a method for the effective storage and management of massive and multi-source heterogeneous spatial data. ...
Spatial Data Fusion from Data Level: The key of data level spatial data fusion is realtime processing and intelligent analysis of large spatial datasets. ...
doi:10.14257/ijmue.2014.9.2.01
fatcat:v46gqhokerhl5p5j2zfvzna5ni
Distributed artificial intelligence for group decision support
1993
Decision Support Systems
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This paper describes a framework for designing, developing, and formalizing group problem-solving systems based on distributed artificial intelligence (DAD. ...
Two implementation examples, one on a network of expert systems, one on a multi-agent concurrent design system, are used to illustrate the distributed artificial intelligence approach to group decision ...
The able programming efforts of Barbara Harrow and Sherri Herman in developing the NEST prototype, and of Riyaz Sikora for developing DLS are also much appreciated. ...
doi:10.1016/0167-9236(93)90046-6
fatcat:fvz2qogmhvcrtp6dtoshxyga2u
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