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26th International Conference on computer Supported Cooperative Work in Design, CSCWD 2023

作者： Wang, Tiantian Liu, Lei Sun, Hongbo Hu, Jia Shandong University School of Software Jinan China YanTai University School of Computer and Control Engineering YanTai China Exeter University Computer Science United Kingdom

ISBN: (纸本)9798350331684

Integrating large-scale sensors into the network has become a research hotspot for its promising flexibility in monitoring vitally critical wild areas. However, the existing Internet of Things (IoT) systems are limited due to the lack of a stable power supply, which seriously affects the system's sustainability. The combination of sensors equipped with cordless power batteries and long-distance power transmission has ushered in a new era. Using the unmanned aerial vehicles (UAVs) to charge the battery ensures the flexibility and sustainability of the sensor in environmental detection. In this work, we aim to provide a solution for maintaining the sustainability of the sensors while optimizing UAV trajectory to minimize the overall energy consumption of UAV. Since deep reinforcement learning successfully solves the NP-hard combinatorial optimization problem, deep reinforcement learning is introduced in this work to obtain a feasible solution. We formulate the trajectory planning of UAV as a Markov decision problem and employ a deep reinforcement learning (DRL) model based on an attention mechanism to find the optimal policy efficiently, named the optimal trajectory planning algorithm based on DRL (OTPDRL). The experimental results suggest the OTPDRL obtains a good trade-off between performance gain and computational time. © 2023 IEEE.

关键词： Unmanned aerial vehicles (UAV)

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The global mismatch between equitable carbon dioxide removal liability and capacity

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National science Review 2023年第12期10卷 111-123页

作者： Pu Yang Zhifu Mi Yi-Ming Wei Steef V.Hanssen Lan-Cui Liu D'Maris Coffman Xinlu Sun Hua Liao Yun-Fei Yao Jia-Ning Kang Peng-Tao Wang Steven J.Davis The Bartlett School of Sustainable Construction University College London Energy and Power Group University of Oxford Exeter Sustainable Finance Centre University of Exeter Center for Energy and Environmental Policy Research Beijing Institute of Technology School of Management and Economics Beijing Institute of Technology Department of Environmental Science Faculty of Science Radboud University Business School Beijing Normal University Strategy Plan Department Sinopec Research Institute of Petroleum Engineering Department of Earth System Science University of California

Limiting climate change to 1.5℃ and achieving net-zero emissions would entail substantial carbon dioxide removal（CDR） from the atmosphere by the mid-century,but how much CDR is needed at country level over time is *** purpose of this paper is to provide a detailed description of when and how much CDR is required at country level in order to achieve 1.5℃ and how much CDR countries can carry out *** allocate global CDR pathways among 170 countries according to 6 equity principles and assess these allocations with respect to countries' biophysical and geophysical capacity to deploy *** global CDR to countries based on these principles suggests that CDR will,on average,represent～4% of nations' total emissions in 2030,rising to ～17% in ***,equitable allocations of CDR,in many cases,exceed implied land and carbon storage *** estimate～15 % of countries（25）would have insufficient land to contribute an equitable share of global CDR,and ～40% of countries（71）would have insufficient geological storage *** more diverse CDR technologies are developed,the mismatch between CDR liabilities and land-based CDR capacities will lead to global demand for six GtCO2carbon credits from 2020 to *** demonstrates an imperative demand for international carbon trading of CDR.

关键词： carbon dioxide removal land-based solutions international equity

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Effect of Outer Length on the Electromagnetic Halbach Array 16

Effect of Outer Length on the Electromagnetic Halbach Array

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16th IEEE AFRICON, AFRICON 2023

作者： Gogo, Tamuno-Omie Zhu, Dibin Science and Economy University of Exeter Faculty of Engineering Exeter United Kingdom School of Electronic Information and Electrical Engineering Shanghai Jiao Tong University Shanghai China

ISBN: (纸本)9798350336214

The uniformity and strength of the magnetic field generated by the transmitting coil in a wireless power transfer system are crucial in effective power transfer. Furthermore, the coil parameters determine the magnetic field strength from a transmitter. In this paper, an analytical approach has been deployed to investigate the effect of varying the outer length of the Electromagnetic Halbach Array Wireless Power Transfer (EHA-WPT) system using the symmetric and asymmetric extension approaches. The average magnetic field strength in the upper half (UH) and the lower half (LH) of the array for different outer lengths have been studied. Current increasing in the EHA has been done to improve the magnetic field when the outer length increases. Overall, the range where the magnetic field generated by an EHA maintains stable can be extended when its outer length is elongated if the driving current is applied appropriately. © 2023 IEEE.

关键词： Transmitters

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Maximizing Influence of Nodes with Rapid Global Spread in Social Media Data Strea 22

Maximizing Influence of Nodes with Rapid Global Spread in So...

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22nd IEEE International Symposium on Parallel and Distributed Processing with Applications, ISPA 2024

作者： Tian, Ze-Peng Shi, Lei-Lei Liu, Lu Han, Zi-Xuan Hao, Zhou Daniel Antonopoulos, Nick Jiangsu University School of Computer Science and Communication Engineering China University of Exeter Department of Computer Science United Kingdom University of Leicester School of Computing and Mathematical Science United Kingdom Edinburgh Napier University Principal's Office United Kingdom

ISBN: (纸本)9798331509712

Influence maximization plays a pivotal role in areas such as cybersecurity, public opinion management, and viral marketing. However, conventional methods for influence maximization grapple with challenges such as seed node clustering, information loss during influence propagation, and biases in overlapping influence consideration. In response to these issues, we introduce Fast Unfold Diffusion (FUD)- an influence maximization algorithm capitalizing on the uniform distribution characteristics in node space and the non-overlapping local features of nodes. This approach aims to facilitate swift and extensive global diffusion of node influence. The performance of our algorithm was validated through the execution of two hundred diffusion simulations, employing the Independent Cascade (IC) diffusion model across six real-world datasets. Compared to the latest algorithms, our algorithm offers substantial benefits in expanding the range of influence diffusion, the speed of influence diffusion and the stability of the algorithm. This not only effectively mitigates the problems found in traditional methodologies but also ensures a significant enhancement in the efficiency of influence maximization. © 2024 IEEE.

关键词： Expectation maximization algorithm

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Experimental Investigation of Material Removal in Elliptical Vibration Cutting of Cortical Bone

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Chinese Journal of Mechanical engineering 2023年第2期36卷 106-115页

作者： Wei Bai Yuhao Zhai Jiaqi Zhao Guangchao Han Linzheng Ye Xijing Zhu Liming Shu Dong Wang Mechanical Engineering and Electronic Information China University of GeosciencesWuhan 430074China Shenzhen Huazhong University of Science and Technology Research Institute Shenzhen 518000China Shenzhen Research Institute China University of GeosciencesShenzhen 518057China School of Mechanical Engineering North University of ChinaTaiyuan 030051China Department of Mechanical Engineering School of EngineeringThe University of TokyoTokyo 113‑8656Japan College of Engineering Mathematics and Physical SciencesUniversity of ExeterExeter EX44QFUK

To benefit tissue removal and postoperative rehabilitation,increased efficiency and accuracy and reduced operating force are strongly required in the osteotomy.A novel elliptical vibration cutting(EVC)has been introduced for bone cutting compared with conventional cutting(CC)in this *** the assistance of high-speed microscope imaging and the dynamometer,the material removals of cortical bone and their cutting forces from two cutting regimes were recorded and analysed comprehensively,which clearly demonstrated the chip morphology improvement and the average cutting force reduction in the EVC *** also revealed that the elliptical vibration of the cutting tool could promote fracture propagation along the shear *** new findings will be of important theoretical and practical values to apply the innovative EVC process to the surgical procedures of the osteotomy.

关键词： Elliptical vibration cutting Cortical bone Material removal Chip formation Chip morphology Fracture propagation Cutting force Osteotomy

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Disturbance Rejection Attitude Control of Quadrotor UAVs Based on Improved BAS Algorithm 13

Disturbance Rejection Attitude Control of Quadrotor UAVs Bas...

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13th IEEE International Conference on CYBER Technology in Automation, Control, and Intelligent Systems, CYBER 2023

作者： Yang, Fanke Jiang, Xiangyuan Li, Jin Luo, Chunbo Ma, Sile School of Institute of Marine Science and Technology Shandong University Qingdao266237 China School of Department of Computer Science University of Exeter ExeterEQ4 4QN United Kingdom

ISBN: (纸本)9798350315196

This research focuses on achieving rapid and stable control of quadrotor unmanned aerial ve-hicles' (UAVs) attitude using an Active Disturbance Rejection Controller (ADRC). To tackle the challenge of numerous and complex ADRC parameters, optimization algorithms are employed for parameter tuning. We introduce a variable step-size search mechanism based on the Beetle Antennae Search algorithm (BAS) and leverage the Sine Cosine Algorithm (SCA) for pre-search. The parameter tuning results reveal that the refined optimization algorithm displays superior global optimization capability, convergence rate, and stability. Both simulation and experimental outcomes suggest that the ADRC controller with optimized parameters exhibits remarkable control and anti-disturbance performance. © 2023 IEEE.

关键词： Controllers

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Machine learning driven performance for hole transport layer free carbon-based perovskite solar cells

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npj Computational Materials 2024年第1期10卷 1014-1022页

作者： Sreeram Valsalakumar Shubhranshu Bhandari Anurag Roy Tapas K.Mallick Justin Hinshelwood Senthilarasu Sundaram Solar Energy Research Group Environment and Sustainability InstituteUniversity of ExeterPenryn CampusCornwallTR109FEUK Mechanical and Energy Engineering College of EngineeringImam Abdulrahman Bin Faisal UniversityDammam34212Saudi Arabia Faculty of Environment Science and Economy University of Exeter Penryn CampusCornwallTR109FEUK School of Computing Engineering and Design TechnologiesTeeside University Tees ValleyMiddlesbroughTS13BXUK

The rapid advancement of machine learning(ML)technology across diverse domains has provided a framework for discovering and rationalising materials and photovoltaic *** study introduces a five-step methodology for implementing ML models in fabricating hole transport layer(HTL)free carbon-based PSCs(C-PSC).Our approach leverages various prevalentMLmodels,andwe curated a comprehensive dataset of 700 data points using SCAPS-1D simulation,encompassing variations in the thickness of the electron transport layer(ETL)and perovskite layers,along with bandgap *** results indicate that the ANN-based ML model exhibits superior predictive accuracy for C-PSC device parameters,achieving a low root mean square error(RMSE)of 0.028 and a high R-squared value of *** novelty of this work lies in its systematic use ofMLto streamline the optimisation process,reducing the reliance on traditional trial-and-error methods and providing a deeper understanding of the interdependence of key device parameters.

关键词： learning layer perovskite

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SynQ-ViT: Synthetic Image Quality Assessment for CT Calibration with Vision Transformer

SynQ-ViT: Synthetic Image Quality Assessment for CT Calibrat...

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IEEE EMBS Conference on Biomedical engineering and sciences (IECBES)

作者： Khanh Quoc Man Amani Mansour Alsaeedi Majeed Soufian Jon Fulford Hairil Abdul Razak Department of Computer Science University of Exeter Exeter UK Medical School University of Exeter Exeter UK

ISBN: (数字)9798350383409

ISBN: (纸本)9798350383416

Optimizing the Diagnostic Imaging System (DIS) of Image Quality Assessment (IQA) in Computed Tomography (CT) imaging using contrast media requires considerate evaluation. In this paper, we present a novel methodology, called SynQ-ViT, for evaluating CT image quality. SynQ-ViT involves restructuring the model to optimize memory usage and processing speed. The dataset comprises CT images of a Perspex phantom, injected with gold nanoparticles as contrast media, and collected with varying exposure settings. SynQ-ViT, achieved an R-squared value of 0.8892, outperforming other state-of-the-art models with fewer parameters, demonstrating its efficiency in predicting Signal-to-Noise Ratio (SNR) and Contrast-to-Noise Ratio (CNR) values that can be used for optimal calibration of CT scanners automatically or semi-automatically, leveraging image quality and hence medical diagnostics. We anticipate this approach can maintain image fidelity, particularly in low-resolution contexts.

关键词： Image quality Contrast agents Computed tomography Imaging Imaging phantoms Transformers Calibration Spatial resolution Signal to noise ratio Testing

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Privacy-Preserved Incentive Mechanism for Split Learning in Edge Computing System

Privacy-Preserved Incentive Mechanism for Split Learning in ...

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2024 IEEE Global Communications Conference, GLOBECOM 2024

作者： Yu, Lu Chang, Zheng Hämäläinen, Timo Min, Geyong University of Electronic Science and Technology of China School of Computer Science and Engineering Chengdu611731 China University of Jyväskylä Faculty of Information Technology P.O. Box 35 JyväskyläFIN-40014 Finland University of Exeter Department of Computer Science ExeterEX4 4QF United Kingdom

ISBN: (纸本)9798350351255

In the edge computing system, split learning (SL) is an emerging distributed learning approach that allows mobile users (MUs) and edge nodes (ENs) to train the model together without sharing the raw data of the MU. Although MU can preserve its privacy in SL, attacks on the intermediate data at the cut layer for model training can still lead to privacy leakage, which prevents privacy-sensitive MUs from participating in training. Therefore, it is important to implement an effective incentive mechanism to motivate MUs to join SL while preserving their privacy. In this work, from the perspective of maximizing the utility of edge service provider (ESP) while considering the privacy-sensitivity of different MUs, the incentive problem of ESP and MUs is transformed into the utility optimization problem, and an incentive mechanism based on the differential privacy (DP) and contract theory is established to model the interactions between the MUs and EN. The obtained convex optimization problem is obtained through the mathematical derivations, and the optimal contract is presented by solving this problem. The simulation results demonstrate the effectiveness of our proposed privacy preserved incentive mechanism. © 2024 IEEE.

关键词： Differential privacy

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Formal Modeling of Hybrid System Based on Semi-continuous Colored Petri Net: A Case Study of Adaptive Cruise Control System

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ACM Transactions on Embedded Computing Systems 2025年第3期24卷 1-21页

作者： Yu, Wangyang Guo, Qi Cheng, Yumeng Liu, Lu Hao, Fei Zhai, Xiaojun Chen, Minsi The School of Computer Science Shaanxi Normal University Shaanxi Xi'an China The School of Computer Science Shaanxi Normal University Xi'an China University of Exeter Department of Computer Science Exeter United Kingdom University of Essex School of Computer Science and Electronic Engineering Colchester United Kingdom University of Huddersfield School of Computing and Engineering Huddersfield United Kingdom

Many Next-Generation consumer electronic devices would be distributed hybrid electronic systems, such as UAVs (Unmanned Aerial Vehicles) and smart electronic cars. The safety and risk control are the key issues for the sustainability of such consumer electronic systems. The modeling of hybrid electronic systems is difficult to be abstracted by traditional Petri Nets. This also makes the reachable marking graph unable to be applied to Petri Nets of the hybrid electronic systems. This paper proposes a novel Petri Net to model and analyze the hybrid electronic systems. We name it a Semi-continuous Colored Petri Net (SCPN) that inherits the excellent modeling capabilities and analysis methods of Petri Nets, and can formally depict hybrid quantities. In addition, we propose the construction algorithm for an SCPN reachable marking graph and prove its finiteness. Finally, we model and analyze an Adaptive Cruise Control (ACC) system of smart electronic cars as an example to prove the validity of SCPN. We use the proposed SCPN to model and analyze the running process of an ACC system under the continuous deceleration scenario of the front vehicle. The application study shows that the ACC system has logic flaws under the constant headway strategy when the front vehicle continues to decelerate. Based on this analysis, improvements to the SCPN of the ACC system are made, effectively enhancing its safety and logical correctness. Copyright © 2025 held by the owner/author(s). Publication rights licensed to ACM.

关键词： Adaptive cruise control

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