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Utilization of synergetic human-machine clouds: a big data cleaning case

Deniz Iren, Gokhan Kul, Semih Bilgen
2014 Proceedings of the 1st International Workshop on CrowdSourcing in Software Engineering - CSI-SE 2014  
In this paper we present a case in which we developed a hybrid, throw-away prototype software system to solve a big data cleaning problem in which we corrected and normalized a data set of 53,822 academic  ...  Combining the strengths of both machine and human clouds within a hybrid design enables us to overcome certain problems and achieve efficiencies.  ...  This research was funded by METU Research Project Funding Office (METU BAP) and conducted by Integrated Information Systems (IIS) project personnel of METU Computer Center.  ... 
doi:10.1145/2593728.2593733 dblp:conf/icse/IrenKB14 fatcat:yd4zclelwneipj7np5sq5itghy

Synergy of IoT and AI in Modern Society: The Robotics and Automation Case

Spyros G Tzafestas
2018 Robotics & Automation Engineering Journal  
Then, a number of case studies are outlined, and, finally, some IoT/AI-aided robotics and industrial automation applications are presented.  ...  The Internet of Things (IoT) is a recent revolution of the Internet which is increasingly adopted with great success in business, industry, healthcare, economic, and other sectors of modern information  ...  The use of machine learning, along big data, has opened new opportunities in IoT.  ... 
doi:10.19080/raej.2018.03.555621 fatcat:7drtlol5pjhozcr3zlpcduijty

Bridging the gap between human knowledge and machine learning

Juan Carlos ALVARADO-PÉREZ, Diego H. PELUFFO-ORDÓÑEZ, Roberto THERÓN
2015 Advances in Distributed Computing and Artificial Intelligence Journal  
Data mining; visualization; machine learning Nowadays, great amount of data is being created by several sources from academic, scientific, business and industrial activities.  ...  Under the premise, the premise that the feedback provided by human reasoning -which is holistic, flexible and parallel-may enhance the data analysis, the need for the integration of natural and artificial  ...  Recently, to encompass all aspects of this phenomenon in a unique concept, it has coined the term Big Data (Gantz & Reinsel, 2012) .  ... 
doi:10.14201/adcaij2015415464 fatcat:piruas64zvh5bhzeptnljpphpa

Techniques of Big Data Text Summarization

2019 International journal of recent technology and engineering  
In the web industry 4.0, big data are playing a key role in the organizations of their digital transformation journey.  ...  The paper starts with general introduction of big data and text mining and text summarization.  ...  In Web 4.0, the connection among people and machines is synergetic.  ... 
doi:10.35940/ijrte.d9932.118419 fatcat:aqml62px3vbcxnpaik7oboufrq

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  
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  ...  and Public Policy, and Memorial University of Newfoundland for their financial and intellectual support to this research project.  ...  It is possible to utilize modern technologies such as wearables, big data analytics, artificial intelligence, and machine learning algorithms, cloud computing, internet of things, robots and drones, extended  ... 
doi:10.1109/access.2021.3103680 fatcat:cvrnf4tnirdznncmtgdmlmgrhu

Anchoring AI/Machine Learning on the African Technological Innovation and Investment Table

Gabriel Kabanda, Secretary General, Zimbabwe Academy of Sciences, TREP Building, University of Zimbabwe, Harare, ZIMBABWE
2021 The business & management review: Conference Proceedings  
Machine Learning (ML) entails the automatic data analysis of large data sets and production of models for the general relationships found among data.  ...  The sample comprised primary data with 42 variables in a set of 494,020 instances that was analysed using mainly the SNORT open-source software and other Bayesian Network supportive platforms.  ...  Model 2: Cloud computing/Outsourcing The second model involves an organization outsourcing its data to a cloud computing service provider.  ... 
doi:10.24052/bmr/v12nu02/art-07 fatcat:ejt57omxdra6lbmulwrhzkfyrm

The SmartHabits: An Intelligent Privacy-Aware Home Care Assistance System

Andrej Grgurić, Miran Mošmondor, Darko Huljenić
2019 Sensors  
The novel system comprising smart home-based and cloud-based parts uses machine-learning technology to provide peace of mind to informal caregivers caring for persons living alone.  ...  To enhance the quality of life for older adults and overcome challenges in enabling individuals to achieve their full potential in terms of physical, social, and mental well-being, numerous proof-of-concept  ...  Conflicts of Interest: The authors declare no conflicts of interest.  ... 
doi:10.3390/s19040907 fatcat:rjneqx3hmzhvjd3d6zga6aje6m

SmartAirQ: A Big Data Governance Framework for Urban Air Quality Management in Smart Cities

Akshara Kaginalkar, Shamita Kumar, Prashant Gargava, Neelesh Kharkar, Dev Niyogi
2022 Frontiers in Environmental Science  
The 4th industrial revolution technologies of artificial intelligence, Internet of Things, big data, and cloud computing bridge gaps between physical, natural, and personal entities.  ...  The framework has integrated science cloud and urban services aiding in translating scientific data into operations. It is a step toward collaborative, data-driven, and sustainable smart cities.  ...  ACKNOWLEDGMENTS AK acknowledges the support of colleagues from C-DAC, Pune, and faculty of Institute of Environment Education and Research, Bharati Vidyapeeth Deemed University, Pune, India.  ... 
doi:10.3389/fenvs.2022.785129 fatcat:n74qwu37rven5a72ksylc3txwi

Quantum Adiabatic Evolution for Global Optimization in Big Data [article]

Sahil Imtiyaz
2018 arXiv   pre-print
We reduced big data based on its characteristics, conceptually driven by quantum field theory and utilizing the physics of condensed matter theory in a complex nonlinear dynamic system: Quantum Topological  ...  and makes a list of all ground state Hamiltonians, then utilizing the tunnelling property of quantum mechanics optimizes the algorithm unlike up hill and iterative techniques and doesnot let algorithm  ...  Many of the methods had been utilized so far from cloud computing to high software and hardware systems so that the challenges of the big data can be addressed.  ... 
arXiv:1805.11479v1 fatcat:nv6csfestfeofk5dfemzwpka3y

A Survey on Deep Learning for Ultra-Reliable and Low-Latency Communications Challenges on 6G Wireless Systems

Adeeb Salh, Lukman Audah, Nor Shahida Mohd Shah, Abdulraqeb Alhammadi, Qazwan Abdullah, Yun Hee Kim, Samir A. Al-Gailani, Shipun A. Hamzah, Bashar A. F. Esmail, Akram A. Almohammedi
2021 IEEE Access  
and big volumes of a real-time network within a data rate of Tb/s.  ...  The sixth generation (6G) wireless communication network presents itself as a promising technique that can be utilized to provide a fully data-driven network evaluating and optimizing the end-toend behavior  ...  The DL is utilized to learn from great amounts of supervised data to represent big data analytics and exploit the availability of huge amounts of data [233] .  ... 
doi:10.1109/access.2021.3069707 fatcat:v5om5kdtpze3vcxm6tko3efha4

Smart cities with big data: Reference models, challenges, and considerations

Chiehyeon Lim, Kwang-Jae Kim, Paul P. Maglio
2018 Cities  
Recent cases and studies show that a key factor in this transformation is the use of urban big data from stakeholders and physical objects in cities.  ...  This paper reports findings from an analysis of various use cases of big data in cities worldwide and the authors' four projects with government organizations toward developing smart cities.  ...  Acknowledgement This work was supported by the Ministry of Education of the Republic of Korea and the National Research Foundation of Korea (NRF-2018S1A5A80275934) and by "Human Resources Program in Energy  ... 
doi:10.1016/j.cities.2018.04.011 fatcat:5qp3nwe7bjhptlv3logalcqvae

Bioacoustics Data Analysis – A Taxonomy, Survey and Open Challenges

Rama Rao Kvsn, James Montgomery, Saurabh Garg, Michael Charleston
2020 IEEE Access  
Accordingly, this survey examines how bioacoustics analysis techniques can be scaled to work with big data.  ...  We also present a comprehensive survey of bioacoustics data analysis approaches with an emphasis on bird species identification.  ...  BIOACOUSTICS SOFTWARE AND BIG DATA A.  ... 
doi:10.1109/access.2020.2978547 fatcat:nk3dcbv2evbpdp6g4fbovccqla

The anatomy of the data-driven smart sustainable city: instrumentation, datafication, computerization and related applications

Simon Elias Bibri
2019 Journal of Big Data  
As a result, vast troves of data are generated and exploited to operate, manage, organize, and regulate urban life, or a deluge of contextual and actionable data is produced, analyzed, and acted upon in  ...  is labeled 'data-driven smart sustainable cities' as a leading paradigm of urbanism [11, 12] .  ...  As far as research centers and innovation labs are concerned, they are associated with research and innovation for the purpose of developing and disseminating urban intelligence functions.  ... 
doi:10.1186/s40537-019-0221-4 fatcat:2wsib6yi3bfbzfaxjqlidsfiwe

Exploring the path to big data analytics success in healthcare

Yichuan Wang, Nick Hajli
2017 Journal of Business Research  
These findings may be a starting point in studying how big data analytics constitutes business value in practice and offers an empirical basis that can stimulate a more detailed investigation of big data  ...  architectural components, through big data analytics capabilities, to a big data-specific benefits framework.  ...  Finally, the "cleaned" data is loaded into the target databases, such as Hadoop distributed file systems (HDFS) or in a Hadoop cloud for further processing and analysis.  ... 
doi:10.1016/j.jbusres.2016.08.002 fatcat:2g2ilz23xjdbtg4mvxiojrlfsu

Perspectives on Future Power System Control Centers for Energy Transition

Antoine Marot, Adrian Kelly, Matija Naglic, Vincent Barbesant, Jochen Cremer, Alexandru Stefanov, Jan Viebahn
2022 Journal of Modern Power Systems and Clean Energy  
distribution networks, micro-grids, and greater amounts of available data.  ...  Today's power systems are seeing a paradigm shift under the energy transition, sparkled by the electrification of demand, digitalisation of systems, and an increasing share of decarbonated power generation  ...  Resulting hybrid intelligence [93] would eventually be a more desirable path by developing true human-machine partnerships [94] with synergetic interactions, where the human and the machine would continuously  ... 
doi:10.35833/mpce.2021.000673 fatcat:zjfxxuzcz5dgtiw65oe6qdp7ge
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