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Thorough state-of-the-art analysis of electric and hybrid vehicle powertrains: Topologies and integrated energy management strategies

Dai-Duong Tran, Majid Vafaeipour, Mohamed El Baghdadi, Ricardo Barrero, Joeri Van Mierlo, Omar Hegazy
2019 Renewable & Sustainable Energy Reviews  
A R T I C L E I N F O Keywords: Plug-in hybrid electric vehicle Full-electric vehicle Energy management strategy optimisation Online EMS Offline EMS Optimal control strategy A B S T R A C T Hybrid and  ...  In addition, EMSs as applied in the literature are systematically surveyed for a qualitative investigation, classification, and comparison of existing approaches in terms of the principles, advantages,  ...  MOGA, can be exploited to solve the multi-objective optimisation problems.  ... 
doi:10.1016/j.rser.2019.109596 fatcat:ybks774km5htvb6f7foyetum7m

Big data analytics as-a-service: Issues and challenges

Claudio A. Ardagna, Paolo Ceravolo, Ernesto Damiani
2016 2016 IEEE International Conference on Big Data (Big Data)  
The full potential of Big Data Analytics (BDA) can be unleashed only through the definition of approaches that accomplish Big Data users' expectations and requirements, also when the latter are fuzzy and  ...  Big Data domain is one of the most promising ICT sectors with substantial expectations both on the side of market growing and design shift in the area of data storage managment and analytics.  ...  information, and solve business problems.  ... 
doi:10.1109/bigdata.2016.7841029 dblp:conf/bigdataconf/ArdagnaCD16 fatcat:dimjvyqfpvcdxbztn4vjfx73qy

Big Data Analytics As-A-Service: Issues And Challenges

Ernesto Damiani, Claudio Agostino Ardagna, Paolo Ceravolo
2017 Zenodo  
The full potential of Big Data Analytics (BDA) can be unleashed only through the definition of approaches that accomplish Big Data users' expectations and requirements, also when the latter are fuzzy and  ...  Big Data domain is one of the most promising ICT sectors with substantial expectations both on the side of market growing and design shift in the area of data storage managment and analytics.  ...  information, and solve business problems.  ... 
doi:10.5281/zenodo.887903 fatcat:etawfqpl4jgr3ll6w52cr2kh5m

Reducing Efficiency of Connectivity-Splitting Attack on Newscast via Limited Gossip [chapter]

Jakub Muszyński, Sébastien Varrette, Pascal Bouvry
2016 Lecture Notes in Computer Science  
Deconstructing the Big Valley Search Space Hypothesis Gabriela Ochoa, Nadarajen Veerapen The big valley hypothesis suggests that, in combinatorial optimisation, local optima of good quality are clustered  ...  for solving ill-posed global optimization problems in continuous domains.  ... 
doi:10.1007/978-3-319-31204-0_20 fatcat:27rnwllk75cv5kncys2u7utreq

Ethics of Smart Cities: Towards Value-Sensitive Design and Co-Evolving City Life

Dirk Helbing, Farzam Fanitabasi, Fosca Giannotti, Regula Hänggli, Carina I. Hausladen, Jeroen van den Hoven, Sachit Mahajan, Dino Pedreschi, Evangelos Pournaras
2021 Sustainability  
However, this is not the end of the development, as there is now a big trend towards "design for values".  ...  However, it has also led to some pressing issues and challenges related to data, privacy, ethics inclusion, and fairness.  ...  The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results.  ... 
doi:10.3390/su132011162 fatcat:5tkis7baq5bhpiwwseyxepmupm

Computational Air Traffic Management

Marc Anthony Azzopardi, James F. Whidborne
2011 2011 IEEE/AIAA 30th Digital Avionics Systems Conference  
ATM operation in real-time.  ...  As a result, a new discipline called Computational Air Traffic Management has been defined to address the unique set of challenges presented by the ATM problem, by taking a more objective scientific approach  ...  a way that solves the dynamic optimisation problem collaboratively.  ... 
doi:10.1109/dasc.2011.6095967 fatcat:5kfu6ba5h5g7pdffh7z3ftdjai

Transformation to advanced mechatronics systems within new industrial revolution: A novel framework in Automation of Everything (AoE)

Kaya Kuru, Halil Yetgin
2019 IEEE Access  
The recent advances in cyber-physical domains, cloud, cloudlet and edge platforms along with the evolving Artificial Intelligence (AI) techniques, big data analytics and cutting-edge wireless communication  ...  technologies within the Industry 4.0 (4IR) are urging mechatronics designers, practitioners and educators to further review the ways in which mechatronics systems are perceived, designed, manufactured  ...  The cloud servers in the far end environment can provide more computing power and more long-term data storage, such as massive parallel data processing, big data mining, big data management, ML [7] ,  ... 
doi:10.1109/access.2019.2907809 fatcat:cye2jn223be75hdrad5hharwhu

Challenges and future perspectives for the life cycle of manufacturing networks in the mass customisation era

D. Mourtzis
2016 Logistics Research  
Methods used for solving the capacitated lot sizing problem are indicatively shown in Fig. 9 .  ...  In case an ontology is abstract, its applicability and problem-solving potential may be diminished.  ... 
doi:10.1007/s12159-015-0129-0 fatcat:jz6v3fzp2ve5rpmwt5s6ee32ui

On the sustainability of smart and smarter cities in the era of big data: an interdisciplinary and transdisciplinary literature review

Simon Elias Bibri
2019 Journal of Big Data  
This is due to the kind of well-informed decision-making and enhanced insights enabled by big data computing in the form of applied intelligence.  ...  However, topical studies on big data technologies and their applications in the context of smart and smarter cities tend to deal largely with economic growth and the quality of life in terms of service  ...  Computational, analytical, technical, and logistic challenges Design science and engineering constraints Data processing and analysis Data management in dynamic and volatile environments Data sources and  ... 
doi:10.1186/s40537-019-0182-7 fatcat:iybgywmq5felrjup33satwvtge

Edge Intelligence: Architectures, Challenges, and Applications [article]

Dianlei Xu, Tong Li, Yong Li, Xiang Su, Sasu Tarkoma, Tao Jiang, Jon Crowcroft, Pan Hui
2020 arXiv   pre-print
Edge intelligence refers to a set of connected systems and devices for data collection, caching, processing, and analysis in locations close to where data is captured based on artificial intelligence.  ...  The aim of edge intelligence is to enhance the quality and speed of data processing and protect the privacy and security of the data.  ...  Pushing intelligent frontiers is a promising solution to solve these problems and unleash the potential of big data at the edge.  ... 
arXiv:2003.12172v2 fatcat:xbrylsvb7bey5idirunacux6pe

Topology Optimisation in Structural Steel Design for Additive Manufacturing

Tiago P. Ribeiro, Luís F. A. Bernardo, Jorge M. A. Andrade
2021 Applied Sciences  
Optimisation in steel construction.  ...  Among such techniques, Discrete Optimisation has a consistent record in Civil and Structural Engineering.  ...  Grasshopper environment [56] .  ... 
doi:10.3390/app11052112 fatcat:eqnmnnuyuvb5jbrhb4t4tk2rge

Trends in Intelligent Communication Systems: Review of Standards, Major Research Projects, and Identification of Research Gaps

Konstantinos Koufos, Karim Haloui, Mehrdad Dianati, Matthew Higgins, Jaafar Elmirghani, Muhammad Imran, Rahim Tafazolli
2021 Journal of Sensor and Actuator Networks  
At the same time, the access and ability to process large volumes of network data can unleash the full potential of a network orchestrated by AI/ML to optimise the usage of available resources while keeping  ...  , about past events to other network functions, leveraging AI/ML and big data analytics.  ...  This makes E2E optimisation and the optimal allocation of network slices an arduous task with the added complexity that must be solved in real time and, thus, strengthening the need for big data analytics  ... 
doi:10.3390/jsan10040060 fatcat:x4rppitvj5awnie6nquclglgie

Planning the future of smart cities with swarms of fully autonomous unmanned aerial vehicles using a novel framework

Kaya Kuru
2021 IEEE Access  
The framework consists of a decentralized agent-based control architecture that monitors and controls the swarms of resource-constraint FAUAVs for their real-time requirements in optimising their urban  ...  Therefore, their integration with the SC components using real-time data analytics is urgent.  ...  or trajectories is the chief problem in autonomous UAV deployment within partially known dynamic environments [21] .  ... 
doi:10.1109/access.2020.3049094 fatcat:3ikesnditrf4pnkoocjshu44he

Modular, higher order cardinality analysis in theory and practice

ILYA SERGEY, DIMITRIOS VYTINIOTIS, SIMON L. PEYTON JONES, JOACHIM BREITNER
2017 Journal of functional programming  
We prove the analysis sound with respect to a standard call-by-need semantics, and present measurements of its use in a full-scale, state-of-the-art optimising compiler.  ...  The analysis finds many single-entry thunks and one-shot lambdas and enables a number of program optimisations.  ...  Acknowledgements We are grateful to Johan Tibell for the suggestion to use benchmark-accompanied hackage libraries and the cabal bench utility for the experiments in Section 7.2.  ... 
doi:10.1017/s0956796817000016 fatcat:ffb4nabjmfgrlcr2q3akytwlbu

Modular, higher-order cardinality analysis in theory and practice

Ilya Sergey, Dimitrios Vytiniotis, Simon Peyton Jones
2014 Proceedings of the 41st ACM SIGPLAN-SIGACT Symposium on Principles of Programming Languages - POPL '14  
We describe a new, modular analysis for a higher-order language, which is both simple and effective, and present measurements of its use in a full-scale, state of the art optimising compiler.  ...  However it has proved difficult to achieve both power and simplicity in practice.  ...  Acknowledgements We are grateful to Johan Tibell for the suggestion to use benchmark-accompanied hackage libraries and the cabal bench utility for the experiments in Section 7.2.  ... 
doi:10.1145/2535838.2535861 dblp:conf/popl/SergeyVJ14 fatcat:4osrqwgrz5b3zim6376usiezje
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