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AIoT-Enabled Data Management for Smart Agriculture: A Comprehensive Review on Emerging Technologies

IEEE Access 2025年 13卷 102964-102993页

作者： Xu Luo Shuming Xiong Xiangchen Jia Yu Zeng Xiao Chen School of Computer Science and Communication Engineering Jiangsu University Zhenjiang Jiangsu China Jiangsu Key Laboratory of Security Technology for Industrial Cyberspace Jiangsu University Zhenjiang Jiangsu China School of Mathematical Science Jiangsu University Zhenjiang Jiangsu China School of Computing and Mathematical Sciences University of Leicester Leicester U.K.

The deep integration of artificial intelligence (AI) and Internet of Things (IoT) technologies has promoted the application of Artificial Intelligence of Things (AIoT) in smart agriculture, driving substantial transformations in agricultural data management systems and facilitating sustainable agricultural development. This paper reviews the key AIoT data management technologies employed in smart agriculture, systematically exploring the technical applications and practical implementations across four architectural layers. These layers (i.e., perception layer, transport layer, data platform layer, and application layer) correspond to agricultural information sensing, data transmission, storage processing, and intelligent decision-making, respectively. Research indicates that, through the deployment of diverse sensing devices, low-latency short-range communications, wide-area wireless networks, cloud-edge collaborative computing, blockchain-based data storage, and AI-driven agricultural decision support systems, the data management framework of smart agriculture is undergoing continuous and intelligent enhancement. AIoT exhibits significant potential in enhancing agricultural productivity, optimizing resource allocation, and improving environmental adaptability. However, significant challenges remain, particularly in protecting agricultural data privacy and achieving real-time interoperability across heterogeneous platforms. The paper concludes by outlining future research directions, offering valuable insights for researchers in the field of smart agriculture.

关键词： Smart agriculture Artificial intelligence Agriculture Internet of Things Surveys Real-time systems Blockchains Resource management Collaboration Cloud computing

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DiffuVolume: Diffusion Model for Volume based Stereo Matching

arXiv

引用

arXiv 2023年

作者： Zheng, Dian Wu, Xiao-Ming Liu, Zuhao Meng, Jingke Zheng, Wei-Shi School of Computer Science and Engineering Sun Yat-sen University China Key Laboratory of MachineIntelligence and Advanced Computing Ministry of Education China

Stereo matching is a significant part in many computer vision tasks and driving-based applications. Recently cost volume-based methods have achieved great success benefiting from the rich geometry information in paired images. However, the redundancy of cost volume also interferes with the model training and limits the performance. To construct a more precise cost volume, we pioneeringly apply the diffusion model to stereo matching. Our method, termed DiffuVolume, considers the diffusion model as a cost volume filter, which will recurrently remove the redundant information from the cost volume. Two main designs make our method not trivial. Firstly, to make the diffusion model more adaptive to stereo matching, we eschew the traditional manner of directly adding noise into the image but embed the diffusion model into a task-specific module. In this way, we outperform the traditional diffusion stereo matching method by 22% EPE improvement and 240 times inference acceleration. Secondly, DiffuVolume can be easily embedded into any volume-based stereo matching network with boost performance but slight parameters rise (only 2%). By adding the DiffuVolume into well-performed methods, we outperform all the published methods on Scene Flow, KITTI2012, KITTI2015 benchmarks and zero-shot generalization setting. It is worth mentioning that the proposed model ranks 1st on KITTI 2012 leader board, 2nd on KITTI 2015 leader board since 15, July 2023. Copyright © 2023, The Authors. All rights reserved.

关键词： Information filtering

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ID-Guard: A Universal Framework for Combating Facial Manipulation via Breaking Identification

arXiv

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arXiv 2024年

作者： Qu, Zuomin Lu, Wei Luo, Xiangyang Wang, Qian Cao, Xiaochun School of Computer Science and Engineering Ministry of Education Key Laboratory of Information Technology Guangdong Province Key Laboratory of Information Security Technology Sun Yat-sen University Guangzhou510006 China State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou450002 China School of Cyber Science and Engineering Wuhan University Wuhan430072 China School of Cyber Science and Technology Shenzhen Campus Sun Yat-sen University Shenzhen518107 China

The misuse of deep learning-based facial manipulation poses a significant threat to civil rights. To prevent this fraud at its source, proactive defense has been proposed to disrupt the manipulation process by adding invisible adversarial perturbations into images, making the forged output unconvincing to observers. However, the non-specific disruption against the output may lead to the retention of identifiable facial features, potentially resulting in the stigmatization of the individual. This paper proposes a universal framework for combating facial manipulation, termed ID-Guard. Specifically, this framework operates with a single forward pass of an encoder-decoder network to produce a cross-model transferable adversarial perturbation. A novel Identity Destruction Module (IDM) is introduced to degrade identifiable features in forged faces. We optimize the perturbation generation by framing the disruption of different facial manipulations as a multi-task learning problem, and a dynamic weight strategy is devised to enhance cross-model performance. Experimental results demonstrate that the proposed ID-Guard exhibits strong efficacy in defending against various facial manipulation models, effectively degrading identifiable regions in manipulated images. It also enables disrupted images to evade facial inpainting and image recognition systems. Additionally, ID-Guard can seamlessly function as a plug-and-play component, integrating with other tasks such as adversarial training. Copyright © 2024, The Authors. All rights reserved.

关键词： Multi-task learning

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mathematical modeling of intelligent RGV simulation scheduling system based on simulated annealing algorithm

Mathematical modeling of intelligent RGV simulation scheduli...

引用

International Symposium on Computational Intelligence and Design, ISCID

作者： Benchao Yang Hongchuan Zhou Jiaqi Liu State Key Laboratory of Mathematical Engineering and advanced computing Information Engineering University Zhengzhou China

ISBN: (纸本)9781665438575

By establishing a mathematical model, the intelligent RGV scheduling scheme is optimized to design an efficient and stable intelligent RGV simulation scheduling system. This paper studies two different situations, including whether there is a fault in a process. Using the combination of high response ratio priority scheduling algorithm and simulated annealing algorithm, the process conditions including two or more process package faults are established, an intelligent RGV simulation scheduling algorithm based on simulated annealing is proposed, and the general intelligent RGV simulation scheduling system model is established. At the end of the paper, the failure of the two processes is also analyzed, and similar solutions can be given on the basis of this paper.

关键词： Annealing Scheduling algorithms Memory management Loading Simulated annealing Scheduling mathematical models

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Interpolated multiple t-values of general level with fixed weight, depth and height

arXiv

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arXiv 2025年

作者： Li, Zhonghua Wang, Zhenlu School of Mathematical Sciences Key Laboratory of Intelligent Computing and Applications Ministry of Education Tongji University Shanghai200092 China School of Electronics and Information Engineering Taizhou University Zhejiang Taizhou318000 China

In this paper, we introduce the interpolated multiple t-values of general level and represent a generating function for sums of interpolated multiple t-values of general level with fixed weight, depth, and height in terms of a generalized hypergeometric function 3F2 evaluated at 1. Furthermore, we explore several special cases of our results. The theorems presented in this paper extend earlier results on multiple zeta values and multiple t-values of general level. © 2025, CC BY.

关键词： Interpolation

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A LOCALLY MASS-CONSERVATIVE ENRICHED PETROV-GALERKIN METHOD WITHOUT PENALTY FOR THE DARCY FLOW IN POROUS MEDIA

arXiv

引用

arXiv 2024年

作者： Chen, Huangxin Dong, Piaopiao Sun, Shuyu Wang, Zixuan School of Mathematical Sciences Fujian Provincial Key Laboratory on Mathematical Modeling and High Performance Scientific Computing Xiamen University Fujian361005 China Computational Transport Phenomena Laboratory Division of Physical Science and Engineering King Abdullah University of Science and Technology Thuwal Saudi Arabia

In this work we present an enriched Petrov-Galerkin (EPG) method for the simulation of the Darcy flow in porous media. The new method enriches the approximation trial space of the conforming continuous Galerkin (CG) method with bubble functions and enriches the approximation test space of the CG method with piecewise constant functions, and it does not require any penalty term in the weak formulation. Moreover, we propose a framework for constructing the bubble functions and consider a decoupled algorithm for the EPG method based on this framework, which enables the process of solving pressure to be decoupled into two steps. The first step is to solve the pressure by the standard CG method, and the second step is a post-processing correction of the first step. Compared with the CG method, the proposed EPG method is locally mass-conservative, while keeping fewer degrees of freedom than the discontinuous Galerkin (DG) method. In addition, this method is more concise in the error analysis than the enriched Galerkin (EG) method. The coupled flow and transport in porous media is considered to illustrate the advantages of locally mass-conservative properties of the EPG method. We establish the optimal convergence of numerical solutions and present several numerical examples to illustrate the performance of the proposed *** Codes 65M60, 65N30, 76S05 Copyright © 2024, The Authors. All rights reserved.

关键词： Error analysis

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Approximate k-Nearest Neighbor Query over Spatial Data Federation 28th

Approximate k-Nearest Neighbor Query over Spatial Data Fede...

引用

28th International Conference on Database Systems for advanced Applications, DASFAA 2023

作者： Zhang, Kaining Tong, Yongxin Shi, Yexuan Zeng, Yuxiang Xu, Yi Chen, Lei Zhou, Zimu Xu, Ke Lv, Weifeng Zheng, Zhiming State Key Laboratory of Software Development Environment Beijing Advanced Innovation Center for Future Blockchain and Privacy Computing School of Computer Science and Engineering and Institute of Artificial Intelligence Beihang University Beijing China Department of Computer Science and Engineering HKUST Hong Kong Guangzhou China City University of Hong Kong Hong Kong

ISBN: (纸本)9783031306365

Approximate nearest neighbor query is a fundamental spatial query widely applied in many real-world applications. In the big data era, there is an increasing demand to scale these queries over a spatial data federation, which consists of multiple data owners, each holding a private, disjoint partition of the entire spatial dataset. However, it is non-trivial to enable approximate k-nearest neighbor query over a spatial data federation. This is because stringent security constraints are often imposed to protect the sensitive, privately owned data partitions, whereas naively extending prior secure query processing solutions leads to high inefficiency (e.g., 100 s per query). In this paper, we propose two novel algorithms for efficient and secure approximate k-nearest neighbor query over a spatial data federation. We theoretically analyze their communication cost and time complexity, and further prove their security guarantees and approximation bounds. Extensive experiments show that our algorithms outperform the state-of-the-art solutions with respect to the query efficiency and often yield a higher accuracy. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Nearest neighbor search

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PRET: Planning with Directed Fidelity Trajectory for Vision and Language Navigation

arXiv

引用

arXiv 2024年

作者： Lu, Renjie Meng, Jingke Zheng, Wei-Shi School of Computer Science and Engineering Sun Yat-sen University Guangzhou China Peng Cheng Laboratory Shenzhen China Key Laboratory of Machine Intelligence and Advanced Computing Ministry of Education Guangzhou China

Vision and language navigation is a task that requires an agent to navigate according to a natural language instruction. Recent methods predict sub-goals on constructed topology map at each step to enable long-term action planning. However, they suffer from high computational cost when attempting to support such high-level predictions with GCN-like models. In this work, we propose an alternative method that facilitates navigation planning by considering the alignment between instructions and directed fidelity trajectories, which refers to a path from the initial node to the candidate locations on a directed graph without detours. This planning strategy leads to an efficient model while achieving strong performance. Specifically, we introduce a directed graph to illustrate the explored area of the environment, emphasizing directionality. Then, we firstly define the trajectory representation as a sequence of directed edge features, which are extracted from the panorama based on the corresponding orientation. Ultimately, we assess and compare the alignment between instruction and different trajectories during navigation to determine the next navigation target. Our method outperforms previous SOTA method BEVBert on RxR dataset and is comparable on R2R dataset while largely reducing the computational cost. Code is available: https://***/iSEE-laboratory/VLN-PRET. Copyright © 2024, The Authors. All rights reserved.

关键词： Navigation

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THE Furnace temperature curve based on one-dimensional unsteady heat conduction model

THE Furnace temperature curve based on one-dimensional unste...

引用

International Symposium on Computational Intelligence and Design, ISCID

作者： Jiaqi Liu Hongchuan Zhou Benchao Yang State Key Laboratory of Mathematical Engineering and advanced computing Information Engineering University Zhengzhou China

ISBN: (纸本)9781665438575

This paper mainly studies the change rule of center temperature of welding zone in backwelding furnace under different set temperature and transfer rate conditions, and searches for appropriate temperature and rate to obtain the optimal furnace temperature curve. Different infinite length plate models were established for the small temperature region and interval respectively, and the heat transfer of each part was considered according to Fourier heat law and Newton cooling law, and the equation about the temperature change with time was constructed based on the law of energy conservation.

关键词： Heating systems Semiconductor device modeling Temperature Cooling Furnaces Computational modeling Welding

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Safe Reinforcement Learning for Social Motor Coordination in Two Dimensional Space 26

Safe Reinforcement Learning for Social Motor Coordination in...

引用

26th International Conference on Industrial Technology, ICIT 2025

作者： Yang, Fan Huang, Yuening Zhai, Chao Zhang, Hehong China University of Geosciences School of Automation Wuhan Campus China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems China Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Wuhan China Rice University George R. Brown School of Engineering and Computing HoustonTX United States Fuzhou University School of Computer and Data Science Fuzhou China

ISBN: (纸本)9798331521950

This paper presents an interactive motion control method based on reinforcement learning, designed to assist children with autism who have social motor impairments through a mirror game intervention. The virtual teacher uses the Deep Deterministic Policy Gradient (DDPG) algorithm to optimize its actions, guiding the participant to follow a Lissajous trajectory. To ensure safety, a motion-correction mechanism was developed, which automatically adjusts actions when the predicted trajectory surpasses predefined safety boundaries. The reward function considers both the distance between the virtual teacher and the target trajectory, as well as the distance between the virtual teacher and the participant, with dynamic adjustments applied by the motion-correction mechanism. Experimental results demonstrate that the virtual teacher effectively guides the participant towards the target trajectory while adhering to safety constraints. © 2025 IEEE.

关键词： Reinforcement learning

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