Article
Computer Science, Artificial Intelligence
Peng Cheng, Xiang Lian, Lei Chen, Siyuan Liu
Summary: This paper investigates a significant location-based advertising problem, namely the maximum utility advertisement assignment (MUAA) problem. By taking into account the interests of customers and the contexts of vendors, the goal is to maximize the overall utility of ads while satisfying various constraints. The authors propose offline and online approaches and demonstrate their effectiveness through extensive experiments.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
(2022)
Article
Computer Science, Hardware & Architecture
Yakici Ertan, Mumtaz Karatas
Summary: This paper considers a multi-purpose two-level location problem aiming to enhance the coverage performance of heterogeneous sensor networks by determining the best location scheme of sensors in a belt-shaped boundary area. The study finds that a heuristic algorithm can generate diverse and high-quality solutions in a short computational time compared to an exact solver.
Article
Computer Science, Information Systems
Li Cai, Haoyu Wang, Fang Jiang, Yihan Zhang, Yuzhong Peng
Summary: In the era of big data, clustering based on multi-source data fusion has become a hot topic in data mining field. This study proposes a novel clustering algorithm for mining fused location data that can deal with imbalanced data sets, reduce time complexity, and introduce a new comprehensive evaluation metric for clustering validity judgment. Experimental results show the proposed algorithm outperforms state-of-the-art clustering algorithms in discovering urban hotspots formed by majority and minority class data.
INFORMATION SCIENCES
(2022)
Article
Chemistry, Analytical
Haiyang Zhou, Yixin Zhao, Yanzhong Liu, Sichao Lu, Xiang An, Qiang Liu
Summary: Human activity recognition (HAR) is crucial, especially for the elderly living at home. To address the limitations of cameras in low-light environments, a HAR system combining a camera and millimeter wave radar was designed. By applying fusion algorithms and an improved CNN-LSTM model, the system achieved significantly improved accuracy in low-light settings, reducing misclassification rates and enhancing the performance of HAR.
Article
Automation & Control Systems
Hongyue Chen, Wei Yang, Ying Ma, Liyong Tian
Summary: This paper presents a method of multi-sensor data fusion for the detection of roadheader fuselage pose. The experimental results show that the pose estimation system has higher measurement accuracy and can meet the requirements of engineering application. The pose detection system consists of a cross laser transmitter, photoelectric sensors and an inclination sensor.
Article
Construction & Building Technology
Tersoo K. Genger, Yisha Luo, Amin Hammad
Summary: The paper focuses on analyzing spatial data as input in the multi-criteria decision-making process for selecting MUT locations. By comparing different combinations of methods, the optimal MUT location is identified.
TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
(2021)
Article
Robotics
Thien Hoang Nguyen, Lihua Xie
Summary: In this letter, the problem of estimating the unknown metric scale of an odometry system and the 3D location of an Ultra-wideband (UWB) anchor in the environment is studied. A theoretical analysis is presented, including the derivation of the Fisher Information Matrix (FIM) and its determinant. Based on the FIM, an evaluation and geometric interpretation of singular configurations are provided. An estimation-trajectory optimization framework is presented, which includes a semidefinite programming (SDP) relaxation approach and an FIM-based trajectory optimization approach. Simulation results show that the proposed method is more accurate and robust, and can improve the estimator's performance even under challenging constraints.
IEEE ROBOTICS AND AUTOMATION LETTERS
(2022)
Article
Automation & Control Systems
Florence Mukamanzi, Manjula Raja, Tejodbhav Koduru, Raja Datta
Summary: In this article, a new privacy protection technique called PSSLP, which achieves position-independent and section-based source location privacy, is proposed. The technique utilizes biased random walk and greedy walk routing strategies to make routing paths dynamic and ensure convergence at the base station. Experimental results show that PSSLP achieves significant improvements in terms of safety period and network lifetime compared to the shortest path routing technique.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2023)
Article
Computer Science, Information Systems
Qingle Pang, Lin Ye, Houlei Gao, Xinian Li, Yangjie Wang, Tong Cao
Summary: A multi-timescale fault section location method is proposed in this study, which locates faults at millisecond, cycle, and second timescales by utilizing fault current polarity value comparison, fault current waveform similarity comparison, and a genetic algorithm, respectively. The coordination between the three timescale fault section location methods is achieved through constructed reliability functions.
Article
Astronomy & Astrophysics
R. T. deSouza, Varinderjit Singh, S. Hudan, Z. Lin, C. J. Horowitz
Summary: Fusion excitation functions for C12-15 + C-12 at energies above the fusion barrier were examined, and the average fusion cross-section was calculated. The experimental cross-sections showed a more rapid increase than predicted by static models, indicating a stronger dependence on neutron excess possibly attributable to dynamics. Time-dependent Hartree-Fock calculations also failed to describe the observed trend, suggesting that neutron dynamics may play a larger role for neutron-rich nuclei.
Article
Physics, Fluids & Plasmas
Alessandro Tentori, Fabio Belloni
Summary: Proton-boron fusion has regained attention as a potential energy source due to its aneutronic nature and absence of radioactive byproducts. However, igniting H-B-11 fuel remains difficult due to low reactivity and high radiative losses. Accurate and up-to-date cross section and reactivity data are crucial for further advancements in this field.
Article
Plant Sciences
Meibo Lv, Hairui Wei, Xinyu Fu, Wuwei Wang, Daming Zhou
Summary: With the aging society and modern agriculture development, the use of agricultural robots for large-scale agricultural production will be a major trend in the future. To solve the problem of navigation system failure caused by external noise and other factors, a multi-sensor fusion method based on agricultural scenes is proposed, utilizing a loosely coupled extended Kalman filter algorithm to reduce interference from the external environment. Experimental results demonstrate the high accuracy and robustness of the proposed algorithm in case of sensor failures, showing better accuracy and robustness on agricultural datasets compared to other algorithms.
FRONTIERS IN PLANT SCIENCE
(2022)
Article
Multidisciplinary Sciences
John David Prieto Prada, Jintaek Im, Hyondong Oh, Cheol Song
Summary: This study introduces a VR-based framework and sensor fusion algorithm to improve microposition tracking performance of microsurgical tools. The experiments show that the Kalman filter can provide greater precision and stability during micro-manipulation in small scale VR scenarios.
Article
Robotics
Erkan Milli, Ozgur Erkent, Asm Egemen Ylmaz
Summary: Multi-modal systems outperform single modality systems in road detection by perceiving different aspects of the scene. This study proposes a cost-effective and accurate solution for road segmentation by integrating data from multiple sensors within a multi-task learning architecture. The experimental results demonstrate that the proposed method offers fast and high-performance solutions on both KITTI and Cityscapes datasets, and can be used with different sensor modalities, not just raw LiDAR data.
IEEE ROBOTICS AND AUTOMATION LETTERS
(2023)
Article
Chemistry, Multidisciplinary
Ye Sun, Qing Chen, Dan Xie, Ning Shao, Wei Ding, Yuzhan Dong
Summary: This paper proposes a fault location method combining the improved matrix algorithm and the genetic tabu algorithm based on multi-source information to address the limitations of existing fault location methods in active distribution networks, such as time consumption, accuracy, and tolerance performance. The method includes a fault region location method to simplify the network model, an improved matrix algorithm to locate the fault section, and a genetic tabu algorithm to optimize the positioning result. Simulation results show that the proposed method achieves faster fault location and better accuracy and tolerance performance.
APPLIED SCIENCES-BASEL
(2023)
Article
Multidisciplinary Sciences
Ben Stray, Andrew Lamb, Aisha Kaushik, Jamie Vovrosh, Anthony Rodgers, Jonathan Winch, Farzad Hayati, Daniel Boddice, Artur Stabrawa, Alexander Niggebaum, Mehdi Langlois, Yu-Hung Lien, Samuel Lellouch, Sanaz Roshanmanesh, Kevin Ridley, Geoffrey de Villiers, Gareth Brown, Trevor Cross, George Tuckwell, Asaad Faramarzi, Nicole Metje, Kai Bongs, Michael Holynski
Summary: A new quantum gravity gradient sensor has been developed to detect underground features with high accuracy and efficiency, overcoming the limitations of long measurement times. It can be used in various fields such as engineering, climate research, and archaeology, and offers a new perspective for studying underground environments.
Article
Multidisciplinary Sciences
Priyadarshini Jayashree, Emiliano Rustighi, Giovanni Straffelini
Summary: A novel method to limit non-exhaust particulate matter emissions by minimizing the vibration of mating bodies is proposed in this study. Experimental results show that wrapping the pins with a damping tape can significantly reduce emissions and minimize disruption.
SCIENTIFIC REPORTS
(2022)
Article
Engineering, Civil
Lewis O. Makana, Will J. Shepherd, Simon Tait, Christopher D. F. Rogers, Nicole Metje, Joby B. Boxall, Alma N. A. Schellart
Summary: This paper examines the role of pipe deterioration prediction approaches for optimizing maintenance, repair, and rehabilitation of buried water supply, wastewater collection, and drainage networks. It highlights the need for broader and richer data sets to inform the development and application of such approaches.
JOURNAL OF PIPELINE SYSTEMS ENGINEERING AND PRACTICE
(2022)
Article
Engineering, Electrical & Electronic
Wenda Li, Michael Burrow, Nicole Metje, Gurmel Ghataora
Summary: Road condition assessment is crucial for maintaining the integrity of road networks, and the Point Laser system offers a cost-effective and efficient alternative with low hardware and computational requirements. Comparative evaluations and real-world assessments support the usability of the PL system for automatic assessment of local road networks.
IEEE INTELLIGENT TRANSPORTATION SYSTEMS MAGAZINE
(2022)
Article
Geochemistry & Geophysics
Bin Liu, Peng Jiang, Qingyang Wang, Yuxiao Ren, Senlin Yang, Anthony G. Cohn
Summary: Seismic velocity inversion is important in applied seismology. We propose a physics-driven self-supervised learning system by incorporating seismic forward modeling and network-constrained full-waveform inversion. Through self-supervised learning, we eliminate the need for large labeled data sets and introduce physical laws. The system performs well even in new data domains with faults and more geologic layers.
Article
Engineering, Mechanical
Gabriella Furlan Nehemy, Emiliano Rustighi, Paulo J. Paupitz Goncalves, Michael J. Brennan
Summary: This paper presents a study on a passive vibration neutraliser that can automatically adapt to the frequency of an external harmonic force, achieving sound reduction without the need for an external power source. The device reduces vibration levels and improves stability.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2023)
Article
Materials Science, Coatings & Films
Francesca Russo, Vigilio Fontanari, Emiliano Rustighi, Maria Lekka, Larraitz Hernandez, Stefano Rossi
Summary: Vitreous enamel coatings are highly valued for their ability to protect metals from weathering and corrosion, but their brittleness limits their applicability. The addition of a second ductile phase in a brittle matrix, creating a composite material, has been proven effective in improving fracture toughness and cracking resistance. This research aims to characterize the mechanical properties of composite 316-L stainless steel flakes/enamel coatings under different mechanical stressors, using 4-point bending tests, indentation fracture tests, and scratch tests. Comparison of different sample typologies reveals that the addition of 5 wt% stainless steel flakes improves cracking resistance and limits cohesive damage.
SURFACE & COATINGS TECHNOLOGY
(2023)
Article
Engineering, Electrical & Electronic
Muhammad Ayaz Akbar, Wai-On Wong, Emiliano Rustighi
Summary: This paper examines a hybrid damper combining a particle impact damper and a Coulomb friction damper, and it shows that this hybrid damper is more effective in reducing vibrations compared to using the two dampers separately. The hybrid damper achieves a similar vibration suppression performance to a traditional tuned mass damper, but it does not require optimally tuned natural frequency and damping, and does not have the detuning problem associated with the tuned mass damper. The proposed hybrid damper may be a simpler and better alternative to the tuned mass damper in passive vibration control applications.
Article
Engineering, Mechanical
Davide Raffaele, Emiliano Rustighi, Timothy Waters
Summary: This paper proposes an extension of the Semi-Analytical Finite-Element (SAFE) method that combines COMSOL and Matlab for solving free and forced wave propagation problems. The customised software takes advantage of both the commercial FE software and Matlab. Validation of the method is done using models of a simply supported plate strip and a complex geometry, showing good agreement with analytical and numerical results.
Article
Multidisciplinary Sciences
Jamie Vovrosh, Katie Wilkinson, Sam Hedges, Kieran McGovern, Farzad Hayati, Christopher Carson, Adam Selyem, Jonathan Winch, Ben Stray, Luuk Earl, Maxwell Hamerow, Georgia Wilson, Adam Seedat, Sanaz Roshanmanesh, Kai Bongs, Michael Holynski
Summary: Borehole gravity sensing has various applications and can measure features around wells, such as rock-type changes and reservoir porosity. Quantum technology gravity sensors based on atom interferometry offer faster survey speeds and reduced need for calibration. However, improvements are needed in terms of robustness and reducing size, weight, and power consumption to deploy these devices in boreholes.
Proceedings Paper
Computer Science, Artificial Intelligence
Logan Dunbar, Benjamin Rosman, Anthony G. Cohn, Matteo Leonetti
Summary: Planning is computationally expensive and limits the reactivity of autonomous agents. We propose a combination of classical planning and model-free reinforcement learning to reduce the planning horizon and adapt to the environment. Our framework has been evaluated on symbolic PDDL domains and a stochastic grid world environment, showing significant reduction in planning horizon and improved performance.
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES, ECML PKDD 2022, PT IV
(2023)
Article
Acoustics
Kolade Abiola Olanipekun, Emiliano Rustighi, Neil Ferguson
Summary: This paper presents analytical and numerical studies on the active assignment of poles to a planetary gear system for vibration control. The study shows that by feeding back the displacement and velocity, active stiffness and damping can be added. A rotating frame of reference is adopted to describe the dynamics over a broad range of rotational speed. The feasibility of the method is demonstrated through numerical examples.
JOURNAL OF LOW FREQUENCY NOISE VIBRATION AND ACTIVE CONTROL
(2023)
Article
Acoustics
Muhammad Ayaz Akbar, Wai On Wong, Emiliano Rustighi
Summary: This research article presents a numerical approach to establish an optimal design methodology for a single-mass impact damper. The study finds that a single-mass impact damper designed with the optimal combination of design parameters can provide better vibration damping and relatively steady response. It outperforms the tuned mass damper in damping free vibrations of a single-degree-of-freedom primary structure. Although it cannot suppress forced vibration amplitude as effectively as a tuned mass damper at resonance, it has the advantages of lower cost and easier installation.
JOURNAL OF SOUND AND VIBRATION
(2024)
Article
Computer Science, Information Systems
James L. Crowley, Joelle Coutaz, Jasmin Grosinger, Javier Vazquez-Salceda, Cecilio Angulo, Alberto Sanfeliu, Luca Iocchi, Anthony G. Cohn
Summary: We propose a hierarchical framework for collaborative intelligent systems and review research paradigms at each level. The article discusses the challenges of communication and sharing comprehension as well as the social nature of collaboration, and concludes with a summary of research challenges and the potential of technologies.
IEEE PERVASIVE COMPUTING
(2023)
Review
Green & Sustainable Science & Technology
Bryony M. Bowman, Dexter V. L. Hunt, Chris D. F. Rogers
Summary: Water is a vital and multifunctional resource that has wide-ranging consequences for our society, economy, and ecosystems. Sustainable water management and environmental justice are key topics explored in this study, focusing on the UK water industry. The systematic review examines the application of future considerations in water research, identifying a growing body of research associated with decision-making using future scenarios.