Article
Engineering, Civil
Xiao Chen, Jie Ding, Zhenyu Lu
Summary: This paper proposes a decentralized trust management system based on blockchain technology to secure information dissemination in the 5G intelligent transportation system. The system features a transparent evaluation procedure and irreversible storage of trust credits, and improves efficiency by allowing trusted nodes to participate in validation and consensus.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Multidisciplinary Sciences
Yao Zhao, Yinding Chi, Yaoye Hong, Yanbin Li, Shu Yang, Jie Yin
Summary: This study presents twisted soft robots with embodied physical intelligence for adaptive, intelligent autonomous locomotion in various unstructured environments. These robots can harvest energy from the environment and navigate obstacles without human intervention.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2022)
Article
Energy & Fuels
Maria Simona Raboaca, Nicu Bizon, Phatiphat Thounthong
Summary: This paper discusses the popularity of electric vehicles and the environmental concerns driving their growth, focusing on the prospects and challenges of intelligent charging stations under 5G services, highlighting vehicle connectivity and connectivity between charging stations as the biggest current challenges.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2021)
Article
Chemistry, Analytical
Aitor Almeida, Unai Bermejo, Aritz Bilbao, Gorka Azkune, Unai Aguilera, Mikel Emaldi, Fadi Dornaika, Ignacio Arganda-Carreras
Summary: This paper explores the various applications of behavior modeling in the intelligent environment domain. It proposes the use of embeddings to represent user actions for behavior prediction and compares different approaches. The study tests multiple model architectures and evaluates embedding retrofitting methods to determine the best approach for behavior modeling.
Article
Computer Science, Artificial Intelligence
Doaa Mohamed Elbourhamy, Ali Hassan Najmi, Abdellah Ibrahim Mohammed Elfeky
Summary: Modern approaches in education technology, such as electronic books, infographics, and mobile applications, are being used to improve education quality and learning levels. Educational data mining is a popular method for predicting student performance and monitoring progress. A model was developed to inform students about their performance in a computer networks course, and the effectiveness of infographics for teaching was proven.
PEERJ COMPUTER SCIENCE
(2023)
Article
Computer Science, Hardware & Architecture
Ruiqi Liu, Qingqing Wu, Marco Di Renzo, Yifei Yuan
Summary: With the completion of standardization and commercialization of 5G networks, attention has turned to new technologies that can support the next generation. Reconfigurable intelligent surfaces (RIS) have emerged as a potential component of future wireless networks, providing a cost-effective way to reconfigure the propagation environment. RISs not only attract research efforts but also trigger collaborative projects and discussions on standardization. This article aims to shed light on the challenges and standardization efforts needed for RIS commercialization.
IEEE WIRELESS COMMUNICATIONS
(2022)
Article
Engineering, Electrical & Electronic
Emilio Calvanese Strinati, George C. Alexandropoulos, Henk Wymeersch, Benoit Denis, Vincenzo Sciancalepore, Raffaele D'Errico, Antonio Clemente, Dinh-Thuy Phan-Huy, Elisabeth De Carvalho, Petar Popovski
Summary: The key to the future 6G networks lies in flexible connect-and-compute technologies to support innovative services and diverse requirements, with potential profound roles of RIS technology.
IEEE COMMUNICATIONS MAGAZINE
(2021)
Article
Chemistry, Analytical
Pietro Battistoni, Marianna Di Gregorio, Marco Romano, Monica Sebillo, Giuliana Vitiello
Summary: This study proposes a complementary tactile and tangible interface to converse with AI, creating a new tactile language through generating a sequence of numbers. A wireless cube-shaped device called TactCube is used to interact with AI solely through tactile sense.
Article
Mathematics
Anton Agafonov, Alexander Yumaganov, Vladislav Myasnikov
Summary: Cooperative control of vehicle trajectories and traffic signal phases is proposed to improve transportation system efficiency and safety. A cooperative control method is proposed, which combines a model predictive control algorithm for adaptive traffic signal control and a trajectory construction algorithm. Numerical experiments show that the proposed method can reduce fuel consumption by 1% to 4.2%, travel time by 1% to 5.3%, and stop delays by 27%, compared to baseline methods, in different simulation scenarios.
Article
Engineering, Electrical & Electronic
Yingfeng Cai, Ziheng Lu, Hai Wang, Long Chen, Yicheng Li
Summary: Accurate and reliable localization in urban environments is crucial for autonomous driving systems. This article proposes a LiDAR localization method based on road curbs and pole-like features, along with a lightweight feature map and a novel extraction strategy. Experimental results demonstrate the method's efficiency and robustness in feature extraction and vehicle localization, outperforming existing approaches.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2022)
Article
Engineering, Electrical & Electronic
Alessio Zappone, Marco Di Renzo, Farshad Shams, Xuewen Qian, Merouane Debbah
Summary: Reconfigurable intelligent surfaces have emerged as a promising technology for future wireless networks, but a major challenge is the overhead required for channel state information estimation and optimized phase shift reporting. This study introduces an overhead-aware resource allocation framework for wireless networks using reconfigurable intelligent surfaces, optimizing system rate and energy efficiency with respect to various parameters while investigating the trade-off between optimized radio resource allocation policies and related overhead.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2021)
Article
Computer Science, Information Systems
Albert Rego, Pedro Luis Gonzalez Ramirez, Jose M. Jimenez, Jaime Lloret
Summary: The study introduces an intelligent system based on reinforcement learning and deep learning for smart home environments to improve user experience. Experimental results show that this system outperforms traditional algorithms and can increase user QoE.
CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS
(2022)
Article
Engineering, Electrical & Electronic
Vaibhav Agarwal, Shashikala Tapaswi, Prasenjit Chanak, Neeraj Kumar
Summary: This article presents an intelligent emergency evacuation system using IoT-enabled wireless sensor networks to optimize evacuation paths in industrial environments. Through the use of smart sensors and optimization algorithms, the system is able to determine the optimal evacuation paths more effectively, improving safety performance.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2023)
Book Review
Multidisciplinary Sciences
Matthew Stanley
Summary: A physicist argues that learning to appreciate the rarity of life could have a positive impact on our climate future.
Article
Computer Science, Artificial Intelligence
Taewoong Ryu, Unil Yun, Chanhee Lee, Jerry Chun-Wei Lin, Witold Pedrycz
Summary: Utility pattern mining is a branch of data mining that extracts valid patterns by considering the quantity and weight of the items. This article proposes a novel mining approach, HUOMI, which performs quickly on an increasing database and demonstrates better performance compared to other state-of-the-art algorithms.
INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS
(2022)
Article
Computer Science, Interdisciplinary Applications
Veljko Potkonjak, Michael Gardner, Victor Callaghan, Pasi Mattila, Christian Guetl, Vladimir M. Petrovic, Kosta Jovanovic
COMPUTERS & EDUCATION
(2016)
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Computer Science, Artificial Intelligence
Minjuan Wang, Vic Callaghan, Jodi Bernhardt, Kevin White, Anasol Pena-Rios
JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING
(2018)
Article
Computer Science, Artificial Intelligence
Jeannette Chin, Vic Callaghan, Somaya Ben Allouch
JOURNAL OF AMBIENT INTELLIGENCE AND SMART ENVIRONMENTS
(2019)
Article
Computer Science, Information Systems
Jeannette Chin, Alin Tisan, Victor Callaghan, David Chik
Summary: Many countries are struggling to provide adequate care for their elderly population, but technology, such as ambient intelligence, has the potential to passively monitor abnormal situations in a home environment to support caregivers in providing help when needed.
Article
Computer Science, Software Engineering
Samah Felemban, Michael Gardner, Victor Callaghan, Anasol Pena-Rios
JOURNAL OF UNIVERSAL COMPUTER SCIENCE
(2018)
Article
Economics
Ping Zheng, Victor Callaghan
Proceedings Paper
Computer Science, Cybernetics
Malek Alrashidi, Khalid Almohammadi, Michael Gardner, Victor Callaghan
AUGMENTED REALITY, VIRTUAL REALITY, AND COMPUTER GRAPHICS, AVR 2017, PT I
(2017)
Proceedings Paper
Computer Science, Theory & Methods
Enas Jambi, Michael Gardner, Victor Callaghan
2017 9TH COMPUTER SCIENCE AND ELECTRONIC ENGINEERING (CEEC)
(2017)
Article
Computer Science, Interdisciplinary Applications
Samah Felemban, Michael Gardner, Victor Callaghan
Proceedings Paper
Engineering, Electrical & Electronic
Jeannette Chin, Vic Callaghan, Ivan Lam
2017 IEEE 26TH INTERNATIONAL SYMPOSIUM ON INDUSTRIAL ELECTRONICS (ISIE)
(2017)
Proceedings Paper
Computer Science, Theory & Methods
Samah Felemban, Michael Gardner, Victor Callaghan
2016 8TH COMPUTER SCIENCE AND ELECTRONIC ENGINEERING CONFERENCE (CEEC)
(2016)
Proceedings Paper
Computer Science, Cybernetics
Shumei Zhang, Victor Callaghan, Hongmei Wang
INTELLIGENT ENVIRONMENTS 2016
(2016)
Proceedings Paper
Computer Science, Cybernetics
Ping Zheng, Vic Callaghan
INTELLIGENT ENVIRONMENTS 2016
(2016)
Proceedings Paper
Computer Science, Cybernetics
Hsuan-Yi Wu, Vic Callaghan
INTELLIGENT ENVIRONMENTS 2016
(2016)
Proceedings Paper
Computer Science, Cybernetics
Minjuan Wang, Vic Callaghan, Juan Augusto
INTELLIGENT ENVIRONMENTS 2016
(2016)
