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International Conference on control and Automation (ICCA)

作者： Yonghui Liang Hui Li Fei Shen Qimin Xu Shuna Hua Shanying Zhu Department of Automation Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai Engineering Re-search Center of Intelligent Control and Management Shanghai China Key Laboratory of Wireless Sensor Network and Communications Shanghai Institute of Microsystem and Information Technology Chinese Academy of Sciences Shanghai China North Information Control Research Academy Group Company Ltd. Nanjing China

ISBN: (数字)9798350354409

ISBN: (纸本)9798350354416

With the transformation towards industrial intel-ligence, multi-core processors are increasingly being applied in real-time networked control systems to ensure secure exe-cution of sensing, computing and actuating tasks under time constraints. However, existing scheduling methods result in either low CPU utilization or many missed task deadlines in dynamic systems. In this paper, we propose a two-layer scheduling architecture to address this issue by fully exploring the complex dependency between real-time tasks. To be specific, the local layer determines task execution priorities considering both dependency between tasks and deadline constraints by utilizing a reinforcement learning approach. Moreover, to better utilize the parallel capabilities of multi-core processors and reduce temporal collisions, this paper minimizes the requested core count for the task set based on a greedy strategy. The global layer designs a scheduling algorithm based on the pre-empt method and provides schedulability analysis of multiple task sets. Experimental results validate the correctness of the proposed scheduling approach, and efficiency is demonstrated through comparisons with baseline method.

关键词： Job shop scheduling Multicore processing Scheduling algorithms Networked control systems Reinforcement learning Real-time systems Sensors

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Sparse Prior Is Not All You Need: When Differential Directionality Meets Saliency Coherence for Infrared Small Target Detection

arXiv

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arXiv 2024年

作者： Zhou, Fei Fu, Maixia Qian, Yulei Yang, Jian Dai, Yimian Ministry of Education Henan Key Laboratory of Grain Photoelectric Detection and Control Henan University of Technology Zhengzhou China Nanjing Marine Radar Institute Nanjing China PCA Lab Key Lab of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education Jiangsu Key Lab of Image and Video Understanding for Social Security School of Computer Science and Engineering Nanjing University of Science and Technology Nanjing China

Infrared small target detection is crucial for the efficacy of infrared search and tracking systems. Current tensor decomposition methods emphasize representing small targets with sparsity but struggle to separate targets from complex backgrounds due to insufficient use of intrinsic directional information and reduced target visibility during decomposition. To address these challenges, this study introduces a Sparse Differential Directionality prior (SDD) framework. SDD leverages the distinct directional characteristics of targets to differentiate them from the background, applying mixed sparse constraints on the differential directional images and continuity difference matrix of the temporal component, both derived from Tucker decomposition. We further enhance target detectability with a saliency coherence strategy that intensifies target contrast against the background during hierarchical decomposition. A Proximal Alternating Minimization-based (PAM) algorithm efficiently solves our proposed model. Experimental results on several real-world datasets validate our method’s effectiveness, outperforming ten state-of-the-art methods in target detection and clutter suppression. Our code is available at https://***/GrokCV/SDD. Copyright © 2024, The Authors. All rights reserved.

关键词： Tensors

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Seasonal to interannual prediction of air pollution in China:Review and insight

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Atmospheric and Oceanic Science Letters 2022年第1期15卷 21-26页

作者： Zhicong Yin Huijun Wang Hong Liao Ke Fan Botao Zhou Key Laboratory of Meteorological Disaster Ministry of Education/Joint International Research Laboratory of Climate and Environment Change(ILCEC)/Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters(CIC-FEMD)Nanjing University of Information Science&TechnologyNanjingChina Southern Marine Science and Engineering Guangdong Laboratory(Zhuhai) ZhuhaiChina Nansen-Zhu International Research Centre Institute of Atmospheric PhysicsChinese Academy of SciencesBeijingChina Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment TechnologySchool of Environmental Science and EngineeringNanjing University of Information Science&TechnologyNanjingChina School of Atmospheric Sciences Sun Yat-sen University/Guangdong Province Key Laboratory for Climate Change and Natural Disaster StudiesGuangzhouChina

Complex air pollution problems have resulted in considerable adverse impacts on the environment,human health,and economy in ***,owing to strict regulations since 2013,the air quality has been greatly ***,the prevention of air pollution has entered a critical stage in combination with climate change mitigation in *** seasonal to interannual prediction of air pollution(haze,surface 03,and sandstorms) could support the government in planning for air pollution control on an annual *** from all over the world have made great progress in understanding climate change and the variability of air pollution and associated physical mechanisms in China,which has provided a scientific basis for the development of climate prediction of air *** paper reviews the progress made in air-pollution climate prediction,and gives some critical insights including update of predictand,change of predictability,and development of coupled model.

关键词： Air pollution Climate prediction PM2.5 Ozone Sandstorm

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The Improvement Mechanism of L-Arginine on the Gel Properties of Low-Salt Chinese Shrimp (Fenneropenaeus Chinensis) Surimi Gel

SSRN

引用

SSRN 2024年

作者： Liu, Yue Zhang, Lin-Da Wang, Ying-Rui Zhou, Tian-Qi Wang, Yu-Qiao Yan, Jia-Nan Lai, Bin Wang, Ce Wu, Hai-Tao SKL of Marine Food Processing & Safety Control National Engineering Research Center of Seafood Collaborative Innovation Center of Seafood Deep Processing Key Laboratory of Aquatic Product Processing and Quality Control Ministry of Agriculture and Rural Affairs School of Food Science and Technology Dalian Polytechnic University Dalian116034 China

In this study, the effects of L-arginine (L-Arg) on the gel properties of low-salt (NaCl, 0.5% w/w) Chinese shrimp surimi gel (SSG) were investigated. As the L-Arg concentration was raised from 0 to 0.75%, the gel strength and hardness of SSG reached the maximum and remained stable, increasing by 87.63% and 82.5%, respectively. With increasing L-Arg content, the water holding capacity of low-salt SSG was increased from 65.71% to 81.96%, and the cooking loss was decreased from 6.87% to 2.33%. And these results were better than high-salt (2% NaCl). Moreover, adding L-Arg decreased the G' of raw surimi but increased the G' of heat-induced gel. As adding L-Arg increased, the protein solubility significantly elevated to 74.89%, as evidenced by the progressively darker bands in the protein partten. Among all chemical forces, hydrophobic interactions and disulfide bonds were the major forces maintaining the gel network. L-Arg promoted SSG to form a more uniform and dense gel network structure. And the result of molecular docking simulation presented the binding of L-Arg to myosin, mainly depended on hydrogen bonds. In conclusion, L-Arg could enhance the low-salt surimi gel properties of Chinese shrimp and lay the foundation for the development of low-salt shrimp surimi products. © 2024, The Authors. All rights reserved.

关键词： Sodium chloride

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Encapsulation of Melatonin in Zein/Pectin Composite Nanoparticles: Fabrication, Characterization, and in Vitro Release Property

SSRN

引用

SSRN 2024年

作者： Zhang, Zhu-Jun Sun, Wen Wang, Ce Lai, Bin Yan, Jia-Nan Wu, Hai-Tao SKL of Marine Food Processing & Safety Control National Engineering Research Center of Seafood Collaborative Innovation Center of Seafood Deep Processing Key Laboratory of Aquatic Product Processing and Quality Control Ministry of Agriculture and Rural Affair School of Food Science and Technology Dalian Polytechnic University Dalian116034 China

In this study, the encapsulation of melatonin (MT) in zein nanoparticles was investigated using the anti-solvent co-precipitation method with the stabilization of pectin. Compared with MT-loaded zein nanoparticles (MT-Z NPs), 1.0 mg/mL pectin led to a MT encapsulation efficiency increment by 1.78 folds, a particle size growth from 111.3 to 294.8 nm, a ζ-potential reduction from +4.8 to −41.4 mV, and an irregular surface shape. Moreover, the quenched MT intrinsic fluorescence, the blue and redshifts of the O-H and amide I bands, and the undetected MT crystalline characteristic peaks in MT-loaded zein/pectin nanoparticles (MT-Z/P NPs) revealed the successful MT embedment governed by hydrogen and hydrophobic forces. The binding energies of zein with MT and pectin (-6.89 and -7.01 kcal/mol) confirmed the stability of the complex. Furthermore, MT-Z/P NPs exhibited prolonged release of MT in the gastrointestinal tract (GIT), which could be a desirable delivery material for MT in food industry. © 2024, The Authors. All rights reserved.

关键词： Nanoparticles

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Stability and interaction of biochar and iron mineral nanoparticles:effect of pH,ionic strength,and dissolved organic matter

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Biochar 2022年第1期4卷 404-418页

作者： Yong Liu Jie Ma Jiaoli Gao Xingyi Chen Xiaoxue Ouyang Liping Weng Haiming Li Yali Chen Yongtao Li Key Laboratory for Environmental Factors Control of Agro-Product Quality Safety Ministry of Agriculture and Rural AffairsTianjin 300191China Agro-Environmental Protection Institute Ministry of Agriculture and Rural AffairsTianjin 300191China Institute of Resources and Environmental Engineering Shanxi UniversityTaiyuan 030006ShanxiChina Department of Soil Quality Wageningen UniversityWageningenThe Netherlands College of Marine and Environmental Science Tianjin University of Science and TechnologyTianjin 300457China College of Resource and Environmental Engineering Jiangxi University of Science and TechnologyGanzhou 341000JiangxiChina College of Natural Resources and Environment South China Agricultural UniversityGuangzhou 510642China

Biochar nanoparticles(BCNPs)and iron mineral nanoparticles(IMNPs),such as ferrihydrite nanoparticles(FHNPs),magnetite nanoparticles(MTNPs),and goethite nanoparticles(GTNPs),are often combined and used in soil ***,the stability and interaction of nanoparticles under various environmental conditions have not been investigated *** this study,settling experiments,a semi-empirical model,the Derjaguin-Landau-Verwey-Overbeek(DLVO)theory,scanning electron microscopy(SEM)observations,and quantum chemical calculations were used to study the interaction and heteroaggregation of BCNPs and *** of BCNPs-FHNPs and BCNPs-GTNPs was stable at neutral and alkaline pH(relative concentration of unsettled nanoparticles C_(res’)=0.679-0.824),whereas fast settling of BCNPs-IMNPs was observed at acidic pH(C_(res’)=0.104-0.628).By contrast,BCNPs-MTNPs consistently showed moderate settling regardless of the mass of magnetite at all pH(C_(res’)=0.423-0.673).Both humic acid(HA,10 mg L^(−1))and ionic strength(IS,10 and 100 mM)facilitated the settling of BCNPs-FHNPs and BCNPs-MTNPs systems,whereas the settling of BCNPs-GTNPs was sensitive only to *** acid(10 mg L^(−1))had a general stabi-lizing effect on the BCNPs-IMNPs *** results of SEM and quantum chemical calculations suggested that the interaction between BCNPs and FHNPs(-2755.58 kJ mol^(−1))was stronger than that between BCNPs and GTNPs(−1706.23 kJ mol^(−1))or MTNPs(−1676.73 kJ mol^(−1)).The enhancement of heteroaggregation between BCNPs and IMNPs under unfavorable conditions(acidic pH,HA,and IS)was regulated by the strength of the ***,the enhancement of heteroaggregation of BCNPs-FHNPs was greater than that of *** the BCNPs-GTNPs system,the high concentration and elongated structure of GTNPs may contribute greatly to heteroag-gregation and settling with small *** results highlight the influence of pH,IS,and HA on the interaction between BCNPs and I

关键词： Biochar Iron mineral nanoparticles Stability DLVO Quantum chemistry

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Generative Model for Joint Resource Management in Multi-Cell Multi-Carrier NOMA Networks

Generative Model for Joint Resource Management in Multi-Cell...

引用

International Conference on Computer and communications (ICCC)

作者： Elhadj Moustapha Diallo Yancheng Liao Amayika Kakati Deepak Kumar Jain School of Communications and Information Engineering Chongqing University of Posts and Telecommunications Chongqing P. R. China School of Communication Engineering Brunel University London England School of Artificial Intelligence and the Key Laboratory of Intelligent Control and Optimization for Industrial Equipment of Ministry of Education Dalian University of Technology Dalian China

ISBN: (数字)9798331507077

ISBN: (纸本)9798331507084

In this work, we design a generative artificial intelligence(GAI) -based framework for joint resource allocation, beamforming, and power allocation in multi-cell multi-carrier non-orthogonal multiple access (NOMA) networks. We formulate the proposed problem as sum rate maximization problem. Next, we design a novel multi-task transformer (MTT) framework to handle the problem in real-time. To provide the necessary training set, we consider simplified but powerful mathematical techniques from the literature. Then, we train and test the proposed MTT. We perform simulation to evaluate the efficiency of the proposed MTT and compare its performance with the mathematical baseline.

关键词： Training NOMA Array signal processing Processor scheduling Generative AI Transformers Multitasking Real-time systems Mathematical models Resource management

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Landslide Driving Forces in a Pile-Reinforced Cohesive Slope: Analytical Solution and Centrifuge Validation

SSRN

引用

SSRN 2023年

作者： Xue, Demin Dai, Cong Zhang, Shuai Zhejiang Institute of Communications Zhejiang Hangzhou311112 China MOE Key Laboratory of Soft Soils and Geoenvironmental Engineering Institute of Civil Engineering Zhejiang University Hangzhou310058 China Key Laboratory of Landslide Risk Early-warning and Control Ministry of Emergency Management Chengdu University of Technology Sichuan Chengdu610059 China

Pile is a typical resistant structure in a reinforced unstable slope or landslide. The successful stabilization of piles significantly relies on the precise assessment of the lateral driving forces exerted on the segment of the pile located above the sliding surface. In this study, based on Mohr Coulomb strength theory, the calculation formula of angle of curved failure surface behind the pile in an inclined cohesive landslide is established. Based on the rotation theory of maximum principal stress, the Mohr circle coordinate translation method is conducted, and the analytic expressions of active earth pressure coefficient and active earth pressure between adjacent piles in a row are derived and established considering vertical soil arching effect, then, the analytical formula of lateral earth pressure acting on pile based on the plastic theory is modified by taking the obtained active earth pressure between adjacent piles as the boundary condition. Compared with the centrifugal test results and theoretical calculation results by using different methods, the proposed theoretical solution is closer to the centrifugal test results, which proves the validity of the theoretical solution in this paper to a certain extent. Further parameter analysis shows that the lateral earth pressure acting on pile significantly increases with the increase of slope angle, thus a rational suggestion is also proposed that the slope angle behind the pile should be as small as possible. Ultimately, the design pile resistance obtained by various existing theoretical calculation methods are presented, and the comparison results show that the proposed method in this paper to determine the design pile resistance is reasonable and feasible. © 2023, The Authors. All rights reserved.

关键词： Piles

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Development of a 3-RRS Micromanipulator Based on Origami-Inspired Spherical Joint

Development of a 3-RRS Micromanipulator Based on Origami-Ins...

引用

IEEE International Conference on Robotics and Automation (ICRA)

作者： Haoqi Han Xiaoming Liu Yan Chen Hao Pang Xiaoqing Tang Dan Liu Qiang Huang Tatsuo Arai Beijing Advanced Innovation Center for Intelligent Robots and Systems and School of Mechatronical Engineering Key Laboratory of Biomimetic Robots and Systems Ministry of Education State Key Laboratory of Intelligent Control and Decision of Complex System Beijing Institute of Technology Beijing China Department of Micro-Nano Electronics Shanghai Jiao Tong University China Center for Neuroscience and Biomedical Engineering The University of Electro-Communications Tokyo Japan

ISBN: (数字)9798350384574

ISBN: (纸本)9798350384581

In recent years, micromanipulation technology has achieved extensive applications in industry and life science. Improving the precision and bandwidth of the micromanipulator and simultaneously reducing size, weight, and cost pose significant challenges to the existing micromanipulator design and fabrication methods. Here, we propose a 3-RRS micromanipulator with an origami-inspired spherical joint based on the PC-MEMS process, aiming for miniaturization and cost-effectiveness. The spherical joint allows rotations of 140° around the x-axis approximately, 140° around the y-axis approximately, and 20° around the z-axis approximately. The micromanipulator has weights of 0.8 g, dimensions of 16 mm × 16 mm × 22 mm, and workspace of 0.7 mm 3 . The end platform of the micromanipulator can be equipped with various effectors to accomplish different kinds of tasks. Experimental results validated its high precision and bandwidth, exhibiting its potential to perform intricate micromanipulation tasks.

关键词： Industries Fabrication Costs Micromanipulators Design methodology Bandwidth Life sciences

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Joint Computation Offloading and Resource Allocation for LEO Satellite Networks Using Hierarchical Multi-Agent Reinforcement Learning

引用

IEEE Transactions on Cognitive communications and Networking 2024年

作者： Lai, Junyu Liu, Huashuo Xu, Guoyao Jiang, Weiwei Wang, Xiong Jiang, Dingde University of Electronic Science and Technology of China School of Aeronautics and Astronautics China Aircraft Swarm Intelligent Sensing and Cooperative Control Key Laboratory of Sichuan Province Chengdu611731 China University of Electronic Science and Technology of China School of Aeronautics and Astronautics Chengdu611731 China Ministry of Education Key Laboratory of Universal Wireless Communications China Beijing University of Posts and Telecommunications School of Information and Communication Engineering Beijing100876 China University of Electronic Science and Technology of China School of Information and Communication Engineering Chengdu611731 China

The integration of edge computing with LEO satellite broadband networks (LSBNs) offers a transformative potential, yet remains underexplored in the optimization of joint computation offloading and resource allocation (JCORA). This problem is compounded by the issues of load imbalance and hybrid action spaces. To tackle them, we firstly propose a multi-level edge computing architecture that leverages the inter-satellite links to enable collaborative offloading among neighboring satellites, thereby enhancing global resource utilization and load balance in LSBNs. Moreover, existing studies demonstrate the benefits of deep reinforcement learning (DRL) for JCORA optimization but struggle with the complexities of hybrid action spaces. To address this, we elaborate a novel hierarchical multi-agent DRL (HMADRL) framework that decomposes the JCORA problem into two-layered subproblems, namely global computation offloading and local resource allocation. This decomposition effectively mitigates the challenge posed by hybrid action spaces. The computation offloading subproblem is formulated as a delayed-reward partially observable Markov decision process, optimized by using multi-agent deep Q-networks specialized in discrete action outputs. Meanwhile, the resource allocation subproblem is addressed through the deep deterministic policy gradient model, adept at handling continuous actions. Extensive experiments validate our approach, demonstrating improvements in delay reduction, outrage rate, and load balancing compared to baselines. © 2015 IEEE.

关键词： Markov processes

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