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Knowledge-Driven Analytics and Sensor Signal Processing in Human-Centric Applications
2018
International Conference on Information and Knowledge Management
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, minimizing private data theft, big data analytics for prediction of macro or micro economic condition, effective and fair trading practices, retail decision management, knowledge-driven energy and resource ...
Management of the present and future knowledge-driven artificial intelligence-based technologies is of highest importance to maximize its progressive influence to human life and human society. ...
Acknowledgments Leandro Marin is partially supported by Research Project TIN2017-86885-R from the Spanish Ministery of Economy, Industry and Competitivity and Feder (European Union). ...
dblp:conf/cikm/UkilMJF18
fatcat:6kpexsrwabfz5hrbfd6n5gfize
Knowledge-Driven Analytics and Systems Impacting Human Quality of Life
2019
Proceedings of the 28th ACM International Conference on Information and Knowledge Management - CIKM '19
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It is understood that knowledge-driven initiatives in terms of technology, application and practical deployment have strong capability to enable long term human-centric convergence of cyber-physical systems ...
Our endeavor is to discuss those finer details, research directions and application development aspects of analytics and systems intended for impacting human quality of life. ...
ACKNOWLEDGEMENT Leandro Marin is partially supported by Research Project TIN2017-86885-R from the Spanish Ministery of Economy, Industry and Competitivity and Feder (European Union). Antonio J. ...
doi:10.1145/3357384.3358799
dblp:conf/cikm/UkilMJF19
fatcat:5wnoaz6ct5f47mtbshca3dpxee
Software Engineering for IoT-Driven Data Analytics Applications
2021
IEEE Access
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Internet of Things Driven Data Analytics (IoT-DA) has the potential to excel data-driven operationalisation of smart environments. ...
However, limited research exists on how IoT-DA applications are designed, implemented, operationalised, and evolved in the context of software and system engineering life-cycle. ...
signals originating from human body. ...
doi:10.1109/access.2021.3065528
fatcat:rwtcdpt6sfhivadltzjo6c3bkq
Enabling the human in the loop: Linked data and knowledge in industrial cyber-physical systems
2019
Annual Reviews in Control
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side data management and analytics, and have contributed to shaping up enhanced or new data value chains in manufacturing. ...
However, incorporating human skills and tangible knowledge requires approaches and technological solutions that facilitate the engagement of personnel within technical systems in ways that take advantage ...
However, while the concept of 'people-centric' IoT has been highlighted in a range of application domains and its cognitive contribution in empowering interaction between human and non-human actors is ...
doi:10.1016/j.arcontrol.2019.03.004
fatcat:kr4jevs5arh55jqgj3ht3axwmq
Context-Aware Data-Driven Intelligent Framework for Fog Infrastructures in Internet of Vehicles
2018
IEEE Access
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This paper focuses on the data at the edge nodes to enable fog-based services that can be consumed by various IoV safety and non-safety applications. ...
In order to overcome these challenges, this paper proposes a data analytics framework for fog infrastructures at the fog layer of traditional IoV architecture that offers context-aware real time, near ...
Vision-Driven ITS is based on the data generated by on-vehicle object detection sensors and applicable in different autonomous vehicle applications. ...
doi:10.1109/access.2018.2874592
fatcat:kaplvshf25flrcovpipa2ler7u
Artificial Intelligence Paradigm for Customer Experience Management in Next-Generation Networks: Challenges and Perspectives
[article]
2018
arXiv
pre-print
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This paper gives an overview of CEM components and their design challenges. We elaborate on data analytics and artificial intelligence driven CEM and their functional differences. ...
This overview provides a path toward autonomous CEM framework in next-generation networks and sets the groundwork for future enhancements. ...
For example, we can define a location sensor where the received signal level and round-trip delay can be used with application data to calculate customer location and optimize location-based services. ...
arXiv:1805.06254v1
fatcat:jhib6jjrqzdjfmsueri64lqgni
SRDCNN: Strongly Regularized Deep Convolution Neural Network Architecture for Time-series Sensor Signal Classification Tasks
[article]
2020
arXiv
pre-print
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Deep Neural Networks (DNN) have been successfully used to perform classification and regression tasks, particularly in computer vision based applications. ...
signals. ...
ACKNOWLEDGEMENT Leandro Marin is partially supported by Research Project TIN2017-86885-R from the Spanish Ministery of Economy, Industry and Competitivity and Feder (European Union). Antonio J. ...
arXiv:2007.06909v1
fatcat:5zc3ocyu25aqfesjnbbcg3fz2u
Internet of Things - Enabled Visual Analytics for Linked Maintenance and Product Lifecycle Management
2018
IFAC-PapersOnLine
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In this way, linked maintenance data and knowledge become visual features of a product design representation, facilitating a user's understanding of middle-of life concepts, such as occurrence of failure ...
The proposed approach can be particularly useful when dealing with product data streams as a natural visual analytics add-in to closed loop product lifecycle management. ...
Acknowledgements The research was partially supported by the Innovate UK Design Rule KTP grant "IoT and Big Data in PLM", as well EPSRC grant number EP/I033246/1 in collaboration with the group Kennametal ...
doi:10.1016/j.ifacol.2018.08.339
fatcat:plvx2dmzdbh4xl2ffsk662dm5a
A Novel Privacy Preservation and Quantification Methodology for Implementing Home-Care-Oriented Movement Analysis Systems
2022
Sensors
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This paper presents a novel privacy preservation and quantification methodology that imitates the forgetting process of human memory to protect privacy in patient-centric healthcare. ...
To facilitate validating the methodology, this research also involves a home-care-oriented movement analysis system that comprises a single inertial measurement sensor and a mobile application. ...
human knowledge or common sense into numerical privacy recognitions, as demonstrated in Section 5.3. ...
doi:10.3390/s22134677
pmid:35808171
pmcid:PMC9268977
fatcat:tqjwmesvvncylama5m2wutsque
Active In-Database Processing to Support Ambient Assisted Living Systems
2014
Sensors
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takes advantage of active databases and in-database processing. ...
Therefore, DBMSs can provide capabilities to address requirements for scalability, security, privacy, dependability and personalization in applications of smart environments in healthcare. ...
Author Contributions Wagner O. de Morais proposed, designed and implemented the database-centric platform to support smart environments and AAL systems. ...
doi:10.3390/s140814765
pmid:25120164
pmcid:PMC4179057
fatcat:acp55zwnrvdijaxjt6yugmz4le
Human Centric Digital Transformation and Operator 4.0 for the Oil and Gas Industry
2021
IEEE Access
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and Public Policy, and Memorial University of Newfoundland for their financial and intellectual support to this research project. ...
ACKNOWLEDGEMENT The authors would like to thank Petroleum Research Newfoundland and Labrador (PRNL), Atlantic Canada Opportunities Agency (ACOA), Mitacs, University of Toronto's Munk School of Global Affairs ...
base), the communication between big data analytics and other systems will strongly affect the performance of the whole process of knowledge discovery in databases (KDD). ...
doi:10.1109/access.2021.3103680
fatcat:cvrnf4tnirdznncmtgdmlmgrhu
Special Issue on "Smart Homes": Editors' Notes
2019
Sensors
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The aim of this Special Issue is to provide a comprehensive collection of some of the current state-of-the-art technologies in the context of smart homes, together with new advanced theoretical and technological ...
In this editorial, we provide an overview of the content of the Special Issue on "Smart Homes". ...
In order to exploit such information, however, powerful analytics is needed to convert raw sensor output into meaningful and accessible knowledge. ...
doi:10.3390/s19040836
fatcat:e75icxnimvcrfm7brhl4lupqsy
Index
[chapter]
2021
Demystifying Big Data, Machine Learning, and Deep Learning for Healthcare Analytics
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treatment process, 76-77, 76-80f
process configuration and modeling in, 58-60,
59-60f
proposed system functionalities, 48-53
big data analytics methods, techniques, and
platform tools, 52
cloud ...
healthcare provider, 90-93
healthcare analytics, 92-93
mobile networks, resource allocation in, 92
patient-centric optimization model, 93-97
classification using naïve Bayesian, 93-94
data, generalization ...
doi:10.1016/b978-0-12-821633-0.09988-8
fatcat:g4f5cds5ard7how3x7z24xpeky
Service Systems Engineering Applications
2013
Procedia Computer Science
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This paper illustrates how SSE can help define, and discover relationships among Service System entities and addresses the service-oriented, customer-centric, holistic systems view in order to plan, design ...
The rapid growth in the global service economy has greatly increased research in Service Science and Service Systems Engineering (SSE). ...
To achieve customization of individual customer-centric services and assure quality and timely delivery, significant back-stage support (e.g., business processes, governance processes, IT, knowledge management ...
doi:10.1016/j.procs.2013.01.071
fatcat:wp4t6dh63vhx3jualqsvjgn5fa
Learning-Driven Wireless Communications, towards 6G
[article]
2019
arXiv
pre-print
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However, according to exposing the inherent constraints of 5G and the emerging applications and services with stringent requirements e.g. latency, energy/bit, traffic capacity, peak data rate, and reliability ...
The fifth generation (5G) of wireless communication is in its infancy, and its evolving versions will be launched over the coming years. ...
sensor analytics, smart environment, ubiquitous systems. ...
arXiv:1908.07335v1
fatcat:hdsq5fuld5d6pbqn6qeg5kmzuq
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