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Knowledge-Driven Analytics and Sensor Signal Processing in Human-Centric Applications

Arijit Ukil, Leandro Marín Muñoz, Antonio Jara, John R. Farserotu
2018 International Conference on Information and Knowledge Management  
, 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

Arijit Ukil, Leandro Marin, Antonio Jara, John Farserotu
2019 Proceedings of the 28th ACM International Conference on Information and Knowledge Management - CIKM '19  
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

Aakash Ahmad, Mahdi Fahmideh, Ahmed B. Altamimi, Iyad Katib, Aiiad Albeshri, Abdulrahman Alreshidi, Adwan Alownie Alanazi, Rashid Mehmood
2021 IEEE Access  
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

Christos Emmanouilidis, Petros Pistofidis, Luka Bertoncelj, Vassilis Katsouros, Apostolos Fournaris, Christos Koulamas, Cristobal Ruiz-Carcel
2019 Annual Reviews in Control  
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

Razi Iqbal, Talal Ashraf Butt, M. Omair Shafique, Manar Wasif Abu Talib, Tariq Umer
2018 IEEE Access  
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]

Haris Gacanin, Mark Wagner
2018 arXiv   pre-print
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]

Arijit Ukil, Antonio Jara, Leandro Marin
2020 arXiv   pre-print
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

C. Emmanouilidis, L. Bertoncelj, M. Bevilacqua, S. Tedeschi, C. Ruiz-Carcel
2018 IFAC-PapersOnLine  
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

Pablo Aqueveque, Britam Gómez, Patricia A. H. Williams, Zheng Li
2022 Sensors  
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

Wagner de Morais, Jens Lundström, Nicholas Wickström
2014 Sensors  
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

Thumeera R. Wanasinghe, Trung Trinh, Trung Nguyen, Raymond G. Gosine, Lesley Anne James, Peter Warrian
2021 IEEE Access  
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

Alessandro Freddi, Sauro Longhi, Andrea Monteriù
2019 Sensors  
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  
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

Amit J. Lopes, Ricardo Pineda
2013 Procedia Computer Science  
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]

Md. Jalil Piran, Doug Young Suh
2019 arXiv   pre-print
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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