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Guest Editorial Introduction to the Special Issue on Intelligent Transportation Systems Empowered by AI Technologies

Seung-Hyun Kong, Yisheng Lv, Hai L. Vu, Juan-Carlos Cano, Jun-Won Choi, Dongsuk Kum, Brendan Tran Morris
2019 IEEE transactions on intelligent transportation systems (Print)  
for far more enhanced traffic efficiency; and machine learning based on big data is improving the operational performance of transportation systems to the next level of safety, efficiency, and sustainability  ...  T HERE has been an increasing level of demand for faster, safer and greener transportation systems with higher levels of capacity and convenience, though the implementation of transportation systems overall  ...  Contextualized Spatial-Temporal Network for Taxi Origin-Destination Demand Prediction L. Liu, Z. Qiu, G. Li, Q. Wang, W. Ouyang, and L.  ... 
doi:10.1109/tits.2019.2940856 fatcat:wrvsx6pgyfbjxlgnfekr7g7ovu

A Review of Techniques for 3D Reconstruction of Indoor Environments

Zhizhong Kang, Juntao Yang, Zhou Yang, Sai Cheng
2020 ISPRS International Journal of Geo-Information  
Furthermore, indoor–outdoor space seamless integration to achieve a full representation of both interior and exterior buildings is also heavily in demand.  ...  Finally, future research directions, including technique challenges and trends, are discussed for the purpose of promoting future research interest.  ...  Acknowledgments: Sincere thanks are given for the comments and contributions of the anonymous reviewers and the members of the editorial team.  ... 
doi:10.3390/ijgi9050330 fatcat:nahmlugoa5egnji3wrcigfjrre

IEEE Access Special Section Editorial: Urban Computing and Intelligence

Rongbo Zhu, Lu Liu, Maode Ma, Hongxiang Li, Shiwen Mao
2021 IEEE Access  
This Special Section has provided a platform for researchers and practitioners from both academia and industry in the area of urban computing and intelligence.  ...  It is obvious that urban computing and intelligence will enable and promote a large class of applications, and has emerged with a great potential to change our lives and improve user experience.  ...  His research interests include the areas of cloud computing, mobile computing, service-oriented computing, peer-to-peer computing, virtual computing, and system of systems engineering.  ... 
doi:10.1109/access.2021.3111669 fatcat:qmiy5ngnyvfcvbe5is7estlfou

An Entity Embeddings Deep Learning Approach for Demand Forecast of Highly Differentiated Products

Davide Mezzogori, Francesco Zammori
2019 Procedia Manufacturing  
The paper deals with Deep Learning architectures applied to demand forecasting in a complex environment.  ...  Abstract The paper deals with Deep Learning architectures applied to demand forecasting in a complex environment.  ...  One of the main application fields is demand forecast, especially in case of fashion retail, where a high demand uncertainty creates many hurdles, for an efficient logistics management [3] .  ... 
doi:10.1016/j.promfg.2020.01.260 fatcat:2qfefmywibdsnprdz3wdhq2z6i

Wireless recommendations for Internet of vehicles: Recent advances, challenges, and opportunities

Tan Li, Congduan Li, Jingjing Luo, Linqi Song
2020 Intelligent and Converged Networks  
Internet of Vehicles (IoV) is a distributed network of connected cars, roadside infrastructure, wireless communication networks, and central cloud platforms.  ...  Wireless recommendations play an important role in the IoV network, for example, recommending appropriate routes, recommending driving strategies, and recommending content.  ...  Vehicle content delivery Content delivery is a key functionality for developing the IoV and there have been huge number of studies in this area.  ... 
doi:10.23919/icn.2020.0005 fatcat:r7xdwyanrvfcxivff4k5pddswm

Contextual Awareness in Human-Advanced-Vehicle Systems: A Survey

Raul Fernandez-Rojas, Anthony Perry, Hemant Singh, Benjamin Campbell, Saber Elsayed, Robert Hunjet, Hussein Abbass
2019 IEEE Access  
The structured analysis of the literature has identified a number of open research questions and opportunities for further research in this area.  ...  His research interests include machine learning, human-robot teaming, and modeling cognitive states using neuroimaging methods such as fNIRS and EEG.  ...  Contextual awareness demands computational resources for representing, learning and optimising contexts.  ... 
doi:10.1109/access.2019.2902812 fatcat:ieqvknlscjgfthy3snql53ohzi

Intelligible software delivery in smart environments supported by a macro and micro context awareness model

Charles Gouin-Vallerand, Patrice Roy, Bessam Abdulrazak, Sylvain Giroux, Anind Dey
2013 Health and Technology  
This paper describes the micro and macro context awareness model and its uses in the implementation of a service provision system for smart environments.  ...  The micro and macro context awareness model helps in defining layers on which contextual information are processed as close as possible from their sources (micro), without losing the benefits of information  ...  On the other hand, some works in the area of service provision have developed context aware mechanisms to support service delivery in ubiquitous environments. Trumler et al.  ... 
doi:10.1007/s12553-013-0047-6 fatcat:5xrl47pha5bs7obuztzpp3vfaq

Context-Awareness for Mobile Sensing: A Survey and Future Directions

Ozgur Yurur, Chi Harold Liu, Zhengguo Sheng, Victor C. M. Leung, Wilfrido Moreno, Kin K. Leung
2016 IEEE Communications Surveys and Tutorials  
The key idea behind context-aware applications is to encourage users to collect, analyze and share local sensory knowledge in the purpose for a large scale community use by creating a smart network.  ...  The evolution of smartphones together with increasing computational power have empowered developers to create innovative context-aware applications for recognizing user related social and cognitive activities  ...  Therefore, the ubiquitous sensing has led to increase the demand for novel applications and services to provide any interested context at anytime and from anywhere.  ... 
doi:10.1109/comst.2014.2381246 fatcat:tzbqt6k23va3tltwxwg5jgvel4

Deep Reinforcement Learning for Demand Driven Services in Logistics and Transportation Systems: A Survey [article]

Zefang Zong, Tao Feng, Tong Xia, Depeng Jin, Yong Li
2022 arXiv   pre-print
Recent technology development brings the booming of numerous new Demand-Driven Services (DDS) into urban lives, including ridesharing, on-demand delivery, express systems and warehousing.  ...  We also introduce open simulation environments for development and evaluation of DDS applications.  ...  Both food and instant delivery can be seen as a type of on-demand delivery.  ... 
arXiv:2108.04462v2 fatcat:y3ogh3v4rbhbjfoymql3yku4ty

BSM-Data Reuse Model Based on In-Vehicular Computing

Khireddine Benaissa, Salim Bitam, Abdelhamid Mellouk
2020 Applied Sciences  
Our model provided a primary data source available on a large scale, considered to be a worthy dataset for machine learning tasks, capable of visualizing different traffic-related indicators to enhance  ...  In the study case, we set up an in-vehicle data platform, where we achieved an 80% of BSMs size reduction and provided a rich set of APIs to serve applications.  ...  Our model contains complicated aggregations on particular data elements, geo-fences, and some parameters for particular routes and areas of interest for end-users.  ... 
doi:10.3390/app10165452 fatcat:vfhaherhwzdqzi5j4qra7bc2z4

Ubiquitous Policies and Location specific Frameworks

Neeraj Garg, Awadhesh Kumar Singh
2010 International Journal of Computer and Electrical Engineering  
A context-aware system is one in which applications have knowledge of their surrounding physical and computing environment.  ...  Access control to resources is crucial to leverage the provision of ubiquitous services and calls for novel solutions based on various context information, e.g. user location, device properties, user needs  ...  The conceptual model [14] is a learning environment that supports the mobility of a learner, facilitating on demand "anywhere, anytime" consultation and continuously assures a learner of availability  ... 
doi:10.7763/ijcee.2010.v2.190 fatcat:k3sdcahsjzg2jnfxrcp76wvmgu

Roadmap to Smart Grid Technology: A Review of Smart Information and Communication System

Md. Ruhul Amin, Md. Mahmudul Hasan, Rajib Baran Roy
2014 International Journal of Control and Automation  
His research interests are electrical power system analysis, reactive power compensation, hybrid power system, and renewable energy based distributed power system and application of industrial electronics  ...  The Smart Grid, observed as the next generation power grid, uses two-way flows of electricity and information to construct a widely distributed automated energy delivery network.  ...  Acknowledgements We thank the all authors of reference papers and anonymous reviewers whose comments on an earlier version of this study have helped to significantly improve the presentation and the content  ... 
doi:10.14257/ijca.2014.7.8.37 fatcat:73h7jomxxnatzbmll3mnmfjv4q

Contextual dimensions for cache replacement schemes in information-centric networks: a systematic review

Stéfani Pires, Artur Ziviani, Leobino N. Sampaio
2021 PeerJ Computer Science  
content-centric and bandwidth-needed applications together with the heterogeneous requirements of emergent networks, such as the Internet of Things (IoT), Vehicular Ad-hoc NETwork (VANET) and Mobile Edge  ...  We also provide a helpful classification of policies based on context dimensions used to determine the relevance of contents.  ...  In one perspective, machine learning techniques could select which contextual information is most relevant and should shape the eviction process.  ... 
doi:10.7717/peerj-cs.418 pmid:33817054 pmcid:PMC7959663 fatcat:p5sdoznj45fyvkrfxq6lbcauhq

AI-Assisted Framework for Green-Routing and Load Balancing in Hybrid Software-Defined Networking: Proposal, Challenges and Future Perspective

Richard Etengu, Saw Chin Tan, Ching Kwang Lee, Fouad Mohammed Abbou, Teong Che Chuah
2020 IEEE Access  
accepted for publication in a future issue of this journal, but has not been fully edited.  ...  In this paper, we first provide a review of the most recent optimization approaches for global energy-efficient routing and load balancing.  ...  Additionally, the delivery of application-driven QoS guaranteed routing forwarding in such hybrid networks, demand for the design of an intelligent or smart traffic forwarding plan, to perform flexible  ... 
doi:10.1109/access.2020.3022291 fatcat:ebznmgl4gfde3kbrewuiphgtme


Bogdan Nedić
2019 Proceedings on Engineering Sciences  
The application of advanced technologies in manufacturing such as nanotechnology, cloud computing, the Internet of Things (IoT) are changing the face of manufacturing in ways unimaginable a few decades  ...  Just twenty years ago, many small and mid-size manufacturers relied on paper-based systems to run their businesses.  ...  Each of these areas will evolve to impact a larger segment of the market and support a new phase of digital business but these represent only one facet of intelligent things.  ... 
doi:10.24874/pes01.02.041 fatcat:lbm4cj6sondo7m3p5gt5a6dsle
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