Article
Robotics
James Keane, Keith F. Joiner, Sanjeev Arulampalam, Russ Webber
Summary: This study expedites the process of AUV returning to the operator's vessel through a custom homing behavior. By using a directional acoustic transponder, the AUV achieves accurate homing with range and bearing data. The study analyzes the results from simulations and field trials through a modular and experimental Test & Evaluation framework. This research is of great importance in improving the operational and engineering trust of AUVs.
JOURNAL OF FIELD ROBOTICS
(2022)
Article
Engineering, Marine
Maksim Kenzin, Igor Bychkov, Nikolai Maksimkin
Summary: The rapid development of marine robotic technology has significantly improved the self-sufficiency of AUVs. Ensuring efficient interaction of multiple autonomous vehicles in complex dynamic missions requires intelligent adaptive methods under severe operating constraints. The study presents a novel hierarchical approach for the group control system of large heterogeneous fleets of AUVs, demonstrating high efficiency through computational experiments.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2022)
Article
Robotics
Enrico Simetti, Giovanni Indiveri, Antonio M. Pascoal
Summary: This paper presents the main results of the European H2020 WiMUST project, which focused on developing a system of cooperative autonomous underwater vehicles and autonomous surface vehicles for geotechnical surveying. It discusses the robotic technologies and methodologies employed, software architecture, lessons learnt from field tests, and field results from a survey campaign in the Atlantic Ocean.
JOURNAL OF FIELD ROBOTICS
(2021)
Article
Robotics
Paul Stankiewicz, Yew T. Tan, Marin Kobilarov
Summary: This paper investigates the use of autonomous underwater vehicles equipped with sensors to construct water quality models for assessing environmental hazards. Adaptive sampling strategies on Gaussian process stochastic models and two informative path planning algorithms are employed to identify multiple regions of interest in a three-dimensional environment. Field experiments validate the capability of the approach to quickly explore a given area and increase sampling density around regions of interest without sacrificing model fidelity.
JOURNAL OF FIELD ROBOTICS
(2021)
Article
Robotics
James McMahon, Erion Plaku
Summary: This letter addresses the issue of data collection involving an AUV inspecting multiple goals while staying within communication range of a moving USV. The proposed planner takes into consideration AUV dynamics and obstacles to generate collision-free trajectories aimed at increasing the sum of rewards. By combining discrete search and sampling-based motion planning, effective navigation and communication maintenance in complex 3D environments are achieved.
IEEE ROBOTICS AND AUTOMATION LETTERS
(2021)
Article
Engineering, Marine
Fei Yu, Bo He, Jixin Liu, Qi Wang, Yue Shen
Summary: This paper introduces a mission management system (MMS) for AUV ocean survey, which is autonomous and real-time in target recognition and path planning, aiming to improve mission performance and save energy costs.
Article
Engineering, Civil
Yue-Jiao Gong, Ting Huang, Yi-Ning Ma, Sang-Woon Jeon, Jun Zhang
Summary: This paper focuses on the multiple-trajectory planning problem for automatic underwater vehicles (AUVs) and proposes a comprehensive model that considers the complexity of underwater environments, efficiency of each trajectory, and diversity among different trajectories. To solve this problem, an ant colony-based trajectory optimizer is developed, incorporating a niching strategy, decayed alarm pheromone measure, and diversified heuristic measure for improved search effectiveness and efficiency. Experimental results demonstrate that the proposed algorithm not only provides multiple AUV trajectories for flexible choice, but also outperforms state-of-the-art algorithms in terms of single trajectory efficiency.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Chemistry, Multidisciplinary
Edoardo Topini, Marco Pagliai, Benedetto Allotta
Summary: Autonomous Underwater Reconfigurable Vehicles (AURVs) represent a breakthrough in underwater system technologies by autonomously changing configurations. The UNIFI DIEF AURV is designed with two extreme configurations for different types of tasks, and a novel dynamic maneuverability analysis formula provides a theoretical basis for these configurations.
APPLIED SCIENCES-BASEL
(2021)
Article
Computer Science, Artificial Intelligence
Robbin Van Hoek, Jeroen Ploeg, Henk Nijmeijer
Summary: In this research, a method is proposed to combine the flexibility and cooperation of autonomous vehicles by using a trajectory planner to generate cooperative trajectories. B-splines are used to ensure string stable behavior even under large communication delays. The use of parametrized trajectories allows for only a small number of parameters to be communicated between vehicles.
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES
(2021)
Article
Computer Science, Information Systems
Jie Zhang, Jianfa Sha, Guangjie Han, Jun Liu, Yujie Qian
Summary: The article proposes a cooperative-control-based algorithm called CUTE for escorting moving targets in underwater Internet of Things applications. The algorithm includes task assignment and formation control, achieving target escort through smooth path planning and formation rotation.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Article
Computer Science, Artificial Intelligence
Savvas D. Apostolidis, Pavlos Ch Kapoutsis, Athanasios Ch Kapoutsis, Elias B. Kosmatopoulos
Summary: This paper proposes a novel mission planning platform that efficiently deploys a team of UAVs for complex-shaped area coverage in remote sensing applications. It introduces a novel optimization scheme and task allocation algorithm that improves coverage, mission duration, and overall efficiency. Simulated evaluations and real-life applications demonstrate the platform's performance gains and versatility.
Article
Engineering, Civil
Jinkun Wang, Fanfei Chen, Yewei Huang, John McConnell, Tixiao Shan, Brendan Englot
Summary: This paper discusses the problem of autonomous mobile robot exploration in unknown environments, presenting a novel exploration framework for underwater robots operating in cluttered environments. The framework takes into account coverage rates, map uncertainty, and state estimation uncertainty, and is evaluated through simulated experiments and real-world applications in an underwater environment.
IEEE JOURNAL OF OCEANIC ENGINEERING
(2022)
Article
Computer Science, Information Systems
Roger Pi, Patryk Cieslak, Pere Ridao, Pedro J. Sanz
Summary: The paper focuses on the possibility of using a group of cooperating I-AUVs to transport a long pipe underwater, considering various aspects that need to be taken into account in such a scenario.
Article
Engineering, Marine
Tao Chen, Xingru Qu, Zhao Zhang, Xiao Liang
Summary: This article presents a distributed cooperative path-maneuvering control approach for multiple autonomous underwater vehicles, using boustrophedon motions and trigonometric functions to generate parameterized paths, employing distributed maneuvering control laws for accuracy, and developing consensus protocols through graph theory to maintain formation configurations.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2021)
Article
Automation & Control Systems
Rashid Alyassi, Majid Khonji, Areg Karapetyan, Sid Chi-Kin Chau, Khaled Elbassioni, Chien-Ming Tseng
Summary: This study proposes an automated tour management system for an energy-constrained drone, which utilizes a machine learning model and an efficient approximation algorithm to optimize mission objectives and recharging operations during long-haul flights.
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING
(2023)
Article
Engineering, Electrical & Electronic
Ning Li, Jianen Yan, Zhaoxin Zhang, Jose-Fernan Martinez-Ortega, Xin Yuan
Summary: This paper proposes an efficient and reliable transmission power control-based opportunistic routing (ERTO) for wireless ad hoc networks. By considering network interference and fading channel, optimizing transmission power and forwarding node degree, introducing multi-objective optimization and Pareto optimal solutions, the energy consumption, transmission delay, and network throughput have been greatly improved in ERTO compared to previous works.
IEEE SENSORS JOURNAL
(2021)
Article
Computer Science, Information Systems
Yuwen Chen, Jose-Fernan Martinez-Ortega, Lourdes Lopez, Haiyang Yu, Zhen Yang
Summary: This study proposes a multiple-data aggregation scheme based on dynamic membership groups to address meter failure and dynamic membership issues in smart grid systems. By using group-based key establishment and dynamic join/leave techniques, dynamic membership management is achieved.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Article
Engineering, Electrical & Electronic
Ning Li, Xin Yuan, Jose-Fernan Martinez-Ortega, Vicente Hernandez Diaz
Summary: The proposed network-based DDA algorithm in this study improves packet delivery probability in wireless multi-hop networks by reducing transmission delay and duplicate transmissions. By utilizing multiple attribute decision making theory, DDA selects the most suitable relay network based on factors such as packet delivery probability, transmission delay, and forwarding priorities. This innovative approach maintains the efficiency of opportunistic routing algorithms while effectively reducing transmission delay.
IEEE SENSORS JOURNAL
(2021)
Article
Biochemistry & Molecular Biology
Qianqian Wang, Yumei La, Huihui Xia, Shaoxia Zhou, Zhaoyu Zhai, Honggui La
Summary: In this study, the Arabidopsis mem1 mutants were found to have elevated levels of global DNA methylation and increased sensitivity to methyl methanesulfonate (MMS). The expression of DNA damage response and DNA-repair-associated genes were upregulated in mem1 mutants, even without MMS treatment, indicating the activation of the DDR pathway. Following MMS treatment, the expression levels of DNA-repair-associated genes in mem1 mutants were lower compared to the wild type, contributing to the MMS-sensitive phenotype.
JOURNAL OF INTEGRATIVE PLANT BIOLOGY
(2022)
Article
Agriculture, Multidisciplinary
Peisen Yuan, Shuyun Qian, Zhaoyu Zhai, Jose FernanMartinez, Huangliang Xu
Summary: This paper proposes a chrysanthemum image phenotype classification framework based on transfer learning and bilinear Convolutional Neural Network. The experimental result proves that our proposal can achieve better performance and lower loss compared with other network models.
COMPUTERS AND ELECTRONICS IN AGRICULTURE
(2022)
Article
Biochemical Research Methods
YiFei Cao, Huanliang Xu, Jin Song, Yao Yang, Xiaohui Hu, Korohou Tchalla Wiyao, Zhaoyu Zhai
Summary: This study predicts the SPAD value of rice leaves under bacterial blight disease stress by calculating the spectral fractal dimension index (SFDI) and finds a strong positive correlation between the SPAD value and SFDI. The support vector regression model combined with SFDI performs the best in predicting SPAD value. These findings are of great significance for accurately predicting chlorophyll content and monitoring plant health.
Article
Green & Sustainable Science & Technology
Yuqiang Wu, Yifei Cao, Zhaoyu Zhai
Summary: This paper introduces a disease detection method based on random forest and adaptive coherence estimator, which can accurately and efficiently identify rice diseases. By selecting the 18 characteristic wavelengths with the highest importance, synthesizing the spectral images of those characteristic wavelengths, and establishing the ACE model for disease recognition, the method shows promising results for rice disease detection.
Article
Chemistry, Multidisciplinary
Julio Cesar Ubeda Ortega, Jesus Rodriguez-Molina, Margarita Martinez-Nunez, Juan Garbajosa
Summary: This paper presents how to use UAVs and other protocols and software technologies to achieve a secure livestock monitoring system, addressing the issues of manual operation and data sharing in traditional livestock monitoring.
APPLIED SCIENCES-BASEL
(2023)
Article
Agronomy
Mario San Emeterio de la Parte, Sara Lana Serrano, Marta Muriel Elduayen, Jose-Fernan Martinez-Ortega
Summary: This paper proposes a novel spatio-temporal semantic data model for agriculture and validates it using real data from livestock and crop scenarios. The model is evaluated using the Time-series Database (TSDB) engine InfluxDB and a real-time architecture for the management of spatio-temporal semantic agricultural data is proposed.
Article
Agronomy
Yujia Zhang, Luteng Zhong, Yu Ding, Hongfeng Yu, Zhaoyu Zhai
Summary: This study proposes a hybrid architecture called ResViT-Rice, which combines CNN and Transformer for accurate detection of leaf blast and brown spot diseases in rice. The experimental results show that ResViT-Rice achieves promising results, with the highest accuracy reaching 0.9904.
Article
Computer Science, Theory & Methods
Mario San Emeterio de la Parte, Jose-Fernan Martinez-Ortega, Vicente Hernandez Diaz, Nestor Lucas Martinez
Summary: This paper proposes an innovative system for managing spatio-temporal semantic data in precision agriculture. It includes a data query system for daily problem-solving and decision-making, monitoring, and task automation solutions. The proposed framework ensures service interoperability and is validated against European smart farming platforms. It demonstrates high performance on complex spatio-temporal semantic queries through the implementation of a neural network.
JOURNAL OF BIG DATA
(2023)
Article
Computer Science, Information Systems
Yuwen Chen, Shisong Yang, Jose-Fernan Martinez-Ortega, Lourdes Lopez, Zhen Yang
Summary: Smart meters are used in the smart grid for bidirectional communication and real-time monitoring and adjustment of energy consumption. However, protecting the privacy of real-time data is a challenge. Data aggregation schemes have been proposed to address this issue, but improving reliability in the face of extreme events and attacks is crucial. A resilient data aggregation scheme is proposed to enhance reliability, scalability, and the ability to make fine-grained adjustments for smart meters.
IEEE INTERNET OF THINGS JOURNAL
(2023)
Article
Computer Science, Information Systems
Manuel Pereira Lamela, Jesus Rodriguez-Molina, Margarita Martinez-Nunez, Juan Garbajosa
Summary: Distributed Ledger Technologies (DLTs) offer remarkable possibilities for cooperation, development, and achievement of the Sustainable Development Goals (SDGs). However, there is a lack of digitalized marketplaces specifically designed for developing countries. This paper proposes a blockchain-based marketplace that utilizes Smart Contracts and cloud computing to trace the production and origin of goods.
Article
Computer Science, Information Systems
Jesus Rodriguez-Molina, Beatriz Corpas, Christian Hirsch, Pedro Castillejo
Summary: Security attacks on Cyber-Physical Systems with operations that involve Unmanned Aerial Vehicles (UAVs) can have a major impact on system deployment and utilization. Integrating security countermeasures may be difficult and could affect system performance.
Article
Telecommunications
Reza Parsamehr, Georgios Mantas, Jonathan Rodriguez, Jose-Fernan Martinez-Ortega
Summary: Network coding-enabled mobile small cells are seen as a cost-effective and energy-efficient technology for 5G networks, but face pollution attacks. SpaceMac and IDLP are competitive mechanisms for detecting pollution attacks, with IDLP showing better efficiency and security in comparison.
IEEE COMMUNICATIONS LETTERS
(2021)