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Eunkyu Lee, Junaid Khan, Umar Zaman, Jaebin Ku, Sanha Kim and Kyungsup Kim
With the global advancement of maritime autonomous surface ships (MASS), the critical task of verifying their key technologies, particularly in challenging conditions, becomes paramount. This study introduces a synthetic maritime traffic generation syste...
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Mihai Petru Stef and Zsolt Alfred Polgar
With the constant growth of software-defined radio (SDR) technologies in fields related to wireless communications, the need for efficient ways of testing and evaluating the physical-layer (PHY) protocols developed for these technologies in real-life tra...
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Chenglin Yang, Dongliang Xu and Xiao Ma
Due to the increasing severity of network security issues, training corresponding detection models requires large datasets. In this work, we propose a novel method based on generative adversarial networks to synthesize network data traffic. We introduced...
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Li Cai, Cong Sha, Jing He and Shaowen Yao
Traffic flows (e.g., the traffic of vehicles, passengers, and bikes) aim to reveal traffic flow phenomena generated by traffic participants in traffic activities. Various studies of traffic flows rely heavily on high-quality traffic data. The taxi GPS tr...
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Juan Zuluaga-Gomez, Amrutha Prasad, Iuliia Nigmatulina, Petr Motlicek and Matthias Kleinert
In this paper we propose a novel virtual simulation-pilot engine for speeding up air traffic controller (ATCo) training by integrating different state-of-the-art artificial intelligence (AI)-based tools. The virtual simulation-pilot engine receives spoke...
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Milan D?unda and Lucia Melníková
Within the new air traffic management concept, using the Global Navigation Satellite System (GNSS), it is assumed that distance measurement equipment (DME) will be retained. The results of research carried out by several authors have confirmed that globa...
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Wen Xu, Julian Jang-Jaccard, Tong Liu, Fariza Sabrina and Jin Kwak
Existing generative adversarial networks (GANs), primarily used for creating fake image samples from natural images, demand a strong dependence (i.e., the training strategy of the generators and the discriminators require to be in sync) for the generator...
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Hung Nguyen-An, Thomas Silverston, Taku Yamazaki and Takumi Miyoshi
We now use the Internet of things (IoT) in our everyday lives. The novel IoT devices collect cyber?physical data and provide information on the environment. Hence, IoT traffic will count for a major part of Internet traffic; however, its impact on the ne...
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Babu R. Dawadi, Abhishek Thapa, Roshan Guragain, Dilochan Karki, Sandesh P. Upadhaya and Shashidhar R. Joshi
Legacy IPv4 networks are strenuous to manage and operate. Network operators are in need of minimizing the capital and operational expenditure of running network infrastructure. The implementation of software-defined networking (SDN) addresses those issue...
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Katsufumi Hashimoto, Tomoki Shiotani, Hiroyuki Mitsuya and Kai-Chun Chang
Micro energy harvesters (MEH) based on microelectromechanical systems (MEMS) are rapidly developing, providing a green and virtually infinite energy source. The electrostatic vibratory power generator outputs electric power when it vibrates, motivating u...
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