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Computer Science, Information Systems
Franklin Salazar, Maria Sofia Martinez-Garcia, Angel de Castro, Carla Chavez-Fuentes, Maria Cazorla, Jeanette del Pilar Urena-Aguirre, Santiago Altamirano
Summary: Unmanned aerial vehicle (UAV)-assisted inventory management is a common practice in large enterprises with warehouses and manufacturing systems. UAVs are generally used in high-risk tasks to quickly perform activities, such as inventory management in a smart city environment. Compared to conventional systems, UAVs have advantages such as their own cameras and independent movement within the warehouse.
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Computer Science, Information Systems
Karidja Dominique Christelle Adje, Asma Ben Letaifa, Majed Haddad, Oussama Habachi
Summary: Open data are valuable resources that contribute to the development of a smart city and improve living conditions for users. This study explores the relationship between open data and smart city, discussing the types of open data suitable for a smart city, their importance in its development, and the processing methods to create services.
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Computer Science, Hardware & Architecture
Qi Li, Zhen Yang, Xuanmei Qin, Dehao Tao, Hongyun Pan, Yongfeng Huang
Summary: This paper proposes a Cloud-Blockchain Fusion Framework (CBFF) to achieve data accountability among multiple clouds. By designing secure mechanisms between clouds and blockchain, it improves the trustworthiness of cloud data operation. The framework has significant efficiency and security improvements and can provide secure data uploading, sharing, and updating among multiple clouds.
JOURNAL OF SYSTEMS ARCHITECTURE
(2022)
Review
Computer Science, Information Systems
Iqbal H. Sarker
Summary: Cities are going through significant technological and operational changes, with data science driving the Fourth Industrial Revolution. Extracting valuable knowledge and insights from city data and building data-driven models are crucial for automating and enhancing city systems. Artificial intelligence, particularly machine learning, plays a vital role in providing deeper understanding of city data and enabling intelligent city services.
INTERNET OF THINGS
(2022)
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Computer Science, Information Systems
Chiranjeevi Karri
Summary: This study explores how cloud technology can improve the speed of face recognition in robotic applications, discusses security issues in face recognition, and tests the performance of several encryption algorithms. The research found that face recognition performed on encrypted data can enhance security and achieve quick recognition.
MULTIMEDIA TOOLS AND APPLICATIONS
(2021)
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Computer Science, Interdisciplinary Applications
Rohit Sharma, Rajeev Arya
Summary: This study implements a UAV network based on IoT and a cloud server to track the air quality of landfill sites in real-time. It utilizes the visuals captured by UAV cameras to detect the exact cause of pollutants, while continuously monitoring harmful gases. The study also presents graphical representations and analysis of the recorded data.
COMPUTERS & INDUSTRIAL ENGINEERING
(2022)
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Automation & Control Systems
Danfeng Sun, Shan Xue, Huifeng Wu, Jia Wu
Summary: This article proposes a data stream cleaning system using edge intelligence to address the challenge of low-quality data from heterogeneous sources in smart cities. The system utilizes the advantages of cloud servers and edge devices, and has been validated in scenarios such as monitoring injection molding machines and base stations.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2022)
Article
Computer Science, Information Systems
Emmanuel Boateng Sifah, Qi Xia, Hu Xia, Kwame Opuni-Boachie Obour Agyekum, Kingsley Nketia Acheampong, Christian Nii Aflah Cobblah, Jianbin Gao
Summary: This article introduces a blockchain-based approach to data access management, which is implemented through smart contracts. Users can be constrained by access policy of data with this method while enhancing their computational power.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Review
Computer Science, Information Systems
Paolo Marmaglio, Davide Consolati, Cinzia Amici, Monica Tiboni
Summary: The development of autonomous vehicles in healthcare is rapidly progressing, offering improved efficiency and safety. This document provides a comprehensive overview of their design, functionality, and level of autonomy, highlighting new trends and technical solutions.
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Computer Science, Information Systems
Monika Arya, Hanumat Sastry, Bhupesh Kumar Dewangan, Mohammad Khalid Imam Rahmani, Surbhi Bhatia, Abdul Wahab Muzaffar, Mariyam Aysha Bivi
Summary: Vehicular networks are crucial to smart city development as they improve quality of life, security, and safety. This article presents an approach to intrusion detection in vehicular ad hoc networks (VANETs) using distributed federated learning of heterogeneous neural networks. The proposed method saves time and resources by using an efficient intruder detection approach that involves local deep learning-based IDS classifiers and communication sharing among vehicles.
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Chemistry, Analytical
Loreto Pescosolido, Emilio Ancillotti, Andrea Passarella
Summary: The study demonstrates that Optical Wireless LANs (OWLs) are robust in varying operational conditions and can maintain a stable throughput in most cases. Factors such as the position of mobile devices and background light have minimal impact on system performance.
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Computer Science, Interdisciplinary Applications
Lea Matlekovic, Filip Juric, Peter Schneider-Kamp
Summary: This study presents the design and development of a cloud-based system for advanced path planning, monitoring, and testing of autonomous UAV missions in inspecting various infrastructures. The system relies on a microservice architecture to ensure independence and fast processing. By containerizing and continuously deploying services, the system achieves robustness and supports multiple concurrent users.
SIMULATION MODELLING PRACTICE AND THEORY
(2022)
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Chemistry, Analytical
Andres Munoz-Arcentales, Sonsoles Lopez-Pernas, Javier Conde, Alvaro Alonso, Joaquin Salvachua, Juan Jose Hierro
Summary: The article introduces an open-source reference implementation for providing context-aware data analytics capabilities to IoT-based smart environments, relying on the FIWARE ecosystem and the NGSI data standard. This reference implementation can be readily operationalized in any IoT-based smart environment, providing a context-aware solution that is not context-specific.
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Computer Science, Information Systems
Pedro Rito, Ana Almeida, Andreia Figueiredo, Christian Gomes, Pedro Teixeira, Rodrigo Rosmaninho, Rui Lopes, Duarte Dias, Goncalo Vitor, Goncalo Perna, Miguel Silva, Carlos Senna, Duarte Raposo, Miguel Luis, Susana Sargento, Arnaldo Oliveira, Nuno Borges de Carvalho
Summary: This article introduces the deployment and experimentation architecture of Aveiro Tech City Living Lab (ATCLL) in Aveiro, Portugal. The platform consists of a large number of IoT devices with communication, sensing, and computing capabilities. It integrates a communication network with various sensors and supports a wide range of services and applications. The article describes the architecture, implementation, and deployment of the platform, as well as showcases performance metrics achieved, data collected, and different use cases in mobility and safety scenarios.
IEEE INTERNET OF THINGS JOURNAL
(2023)
Article
Computer Science, Information Systems
Wahyu Rahmaniar, Wen-June Wang, Wahyu Caesarendra, Adam Glowacz, Krzysztof Oprzedkiewicz, Maciej Sulowicz, Muhammad Irfan
Summary: This paper proposes a novel framework for indoor positioning of unmanned aerial vehicles (UAV) using a camera, achieving an accuracy of 91.7% and a computation time of 8 frames per second (fps).
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Chemistry, Analytical
Ludovico Orlando Russo, Stefano Rosa, Marcello Maggiora, Basilio Bona
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Computer Science, Artificial Intelligence
Stefano Rosa, Giorgio Toscana, Basilio Bona
JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS
(2018)
Article
Computer Science, Artificial Intelligence
Bo Yang, Stefano Rosa, Andrew Markham, Niki Trigoni, Hongkai Wen
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
(2019)
Article
Computer Science, Artificial Intelligence
Stefano Rosa, Andrea Patane, Chris Xiaoxuan Lu, Niki Trigoni
IEEE TRANSACTIONS ON HUMAN-MACHINE SYSTEMS
(2019)
Article
Computer Science, Artificial Intelligence
Qingyong Hu, Bo Yang, Linhai Xie, Stefano Rosa, Yulan Guo, Zhihua Wang, Niki Trigoni, Andrew Markham
Summary: This paper addresses the problem of efficient semantic segmentation of large-scale 3D point clouds and proposes RandLA-Net, a lightweight neural architecture that relies on random point sampling and local feature aggregation for fast and accurate semantic segmentation.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
(2022)
Article
Computer Science, Artificial Intelligence
Changhao Chen, Stefano Rosa, Chris Xiaoxuan Lu, Bing Wang, Niki Trigoni, Andrew Markham
Summary: The paper introduces SelectFusion, an end-to-end selective sensor fusion module that can be applied to useful pairs of sensor modalities. The model is able to evaluate the reliability of latent features from different sensor modalities and estimate trajectory at both scale and global pose. Extensive evaluations on multiple datasets have been conducted to investigate the effectiveness of different fusion strategies in selecting the most reliable features.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2022)
Proceedings Paper
Computer Science, Hardware & Architecture
Chris Xiaoxuan Lu, Peijun Zhao, Bowen Du, Hongkai Wen, Andrew Markham, Stefano Rosa, Niki Trigoni
SENSYS'18: PROCEEDINGS OF THE 16TH CONFERENCE ON EMBEDDED NETWORKED SENSOR SYSTEMS
(2018)
Proceedings Paper
Computer Science, Artificial Intelligence
Giorgio Toscana, Stefano Rosa, Basilio Bona
PROCEEDINGS OF SAI INTELLIGENT SYSTEMS CONFERENCE (INTELLISYS) 2016, VOL 2
(2018)
Proceedings Paper
Automation & Control Systems
Zhihua Wang, Stefano Rosa, Linhai Xie, Bo Yang, Sen Wang, Niki Trigoni, Andrew Markham
2018 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA)
(2018)
Proceedings Paper
Automation & Control Systems
Linhai Xie, Sen Wang, Stefano Rosa, Andrew Markham, Niki Trigoni
2018 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA)
(2018)
Article
Robotics
Muhammad Latif Anjum, Stefano Rosa, Basilio Bona
JOURNAL OF ROBOTICS
(2017)
Proceedings Paper
Engineering, Electrical & Electronic
Ludovico O. Russo, Stefano Rosa, Stefano Primatesta, Marcello Maggiora, Basilio Bona
PROCEEDINGS OF THE IECON 2016 - 42ND ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY
(2016)
Proceedings Paper
Computer Science, Cybernetics
S. Rosa, A. Russo, A. Saglinbeni, G. Toscana
ELEVENTH ACM/IEEE INTERNATIONAL CONFERENCE ON HUMAN ROBOT INTERACTION (HRI'16)
(2016)
Article
Robotics
Muhamad Risqi U. Saputra, Pedro P. B. de Gusmao, Chris Xiaoxuan Lu, Yasin Almalioglu, Stefano Rosa, Changhao Chen, Johan Wahlstrom, Wei Wang, Andrew Markham, Niki Trigoni
IEEE ROBOTICS AND AUTOMATION LETTERS
(2020)