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Multi-Grained Guided Diffusion for Quantity-Controlled Remote Sensing Object Generation

IEEE Geoscience and Remote Sensing Letters 2025年 22卷

作者： Yu, Zhiping Liu, Chenyang Zhong, Chuyu Zou, Zhengxia Shi, Zhenwei School of Astronautics State Key Laboratory of Virtual Reality Technology and Systems Beihang University Department of Aerospace Intelligent Science and Technology Beijing100191 China Shanghai Artificial Intelligence Laboratory Shanghai200232 China Shen Yuan Honors College of Beihang University Beijing100191 China

Accurate object counts represent essential semantical information in remote sensing imagery, significantly impacting applications like traffic monitoring and urban planning. Despite the recent advances in text-to-image generation in remote sensing, existing methods still face challenges in precisely controlling the quantity of object instances in generated images. To address this challenge, we propose a novel method, Multi-Grained Guidend Diffusion (MGDiff). During training, unlike previous methods that relied solely on latent-space noise constraints, MGDiff imposes constraints at three distinct granularities: latent pixel, global counting and spatial distribution. The multi-grained guidance mechanism matches the quantity prompts with object spatial layouts in the feature space, enabling our model to achieve precise control over object quantities. To benchmark this new task, we present Levir-QCG, a dataset comprising 10,504 remote sensing images across five object categories, annotated with precise object counts and segmentation masks. We conducted extensive experiments to benchmark our method against previous methods on the Levir-QCG dataset. Compared to previous models, the MGDiff achieves an approximately +40% improvement in counting accuracy while maintaining higher visual fidelity and strong zero-shot generalization. To the best of our knowledge, this is the first work to research accurate object quantity control in remote sensing text-to-image generation. © 2004-2012 IEEE.

关键词： Semantic Segmentation

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Inland waterway autonomous transportation: System architecture, infrastructure and key technologies

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Journal of Industrial Information Integration 2025年 46卷

作者： Chen, Hualong Wen, Yuanqiao Huang, Yamin Song, Lihang Sui, Zhongyi School of Navigation Wuhan University of Technology Wuhan430070 China State Key Laboratory of Maritime Technology and Safety Wuhan University of Technology Wuhan430070 China Intelligent Transportation Systems Research Center Wuhan University of Technology Wuhan China Sanya Science Education and Innovation Park of Wuhan University of Technology Sanya China Department of Logistics and Maritime Studies Faculty of Business The Hong Kong Polytechnic University Hong Kong China

With the rapid development of intelligent inland waterway shipping and autonomous vessel, the development of inland waterway autonomous transportation has become a hot topic in the shipbuilding industry and the maritime field. This study comprehensively discusses the development trends and technical challenges of inland waterway autonomous transportation from three aspects: system architecture, advanced infrastructure, and key technologies. Firstly, based on the Cyber-Physical-System theory, we propose a hierarchical architecture for the inland waterway autonomous transportation system. Second, based on the full-life-cycle management and control theory, we put forward the autonomous operation process for the planning, design, construction, operation, management, and control of the inland waterway autonomous transportation system. Then, we discuss the advanced infrastructure of the inland waterway autonomous transportation system, including perception, communication, computing, navigation scene maps, high-precision positioning, and so on. Finally, we summarize the key technologies and development challenges for implementing the inland waterway autonomous transportation system, such as autonomous vessels, the Internet of Ships, cloud-edge collaborative computing, artificial intelligence, communication, and channel geographic information systems. This research provides a potential framework and technical solutions for the inland waterway autonomous transportation system, contributing to the rapid development of the inland waterway shipping economy. © 2025 Elsevier Inc.

关键词： Canals

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Data-Driven Learning and Control with Event-Triggered Measurements

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IEEE Transactions on Automatic Control 2025年

作者： Feng, Shilun Shi, Dawei Chen, Tongwen Shi, Ling Beijing Institute of Technology State Key Laboratory of Intelligent Control and Decision of Complex Systems MIIT Key Laboratory of Servo Motion System Drive and Control School of Automation Beijing100081 China University of Alberta Department of Electrical and Computer Engineering EdmontonABT6G 1H9 Canada Hong Kong University of Science and Technology Department of Electronic and Computer Engineering Clear Water Bay Kowloon Hong Kong

Event-triggered control has attracted considerable attention for its effectiveness in resource-restricted applications. To make event-triggered control as an end-to-end solution, a key issue is how to effectively learn unknown system dynamics from event-triggered measurements and consequently, develop a learning-based event-triggered controller. Existing works learn system dynamics based on periodic time-triggered measurements, and it is yet to know how to learn a controller with performance guarantee based on event-triggered measurements. To address this issue, we consider the problem of learning an event-triggered state feedback controller for an unknown linear system based on event-triggered state measurements in this work. In particular, we first analyze the event-triggered measurements within a set-membership framework. We prove that the estimation error belongs to a bounded ellipsoid determined by the historical measurements and the event-triggering condition. Subsequently, we demonstrate that all admissible systems compatible with the collected data samples can be explicitly represented in the form of quadratic matrix inequalities using the state estimates. With the acquired set of admissible systems, a co-design problem for the data-driven controller and event-triggering condition is solved using the linear matrix inequality technique, with guaranteed closed-loop stability and L2-gain performance. Finally, numerical examples and comparisons are provided to illustrate the effectiveness of the proposed event-triggered learning and control approach. © 1963-2012 IEEE.

关键词： Networked control systems

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MambaFlow: A Novel and Flow-guided state Space Model for Scene Flow Estimation

arXiv

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arXiv 2025年

作者： Luo, Jiehao Cheng, Jintao Tang, Xiaoyu Zhang, Qingwen Xue, Bohuan Fan, Rui School of Data Science and Engineering Xingzhi College South China Normal University Shanwei516600 China School of Electronics and Information Engineering Xingzhi College South China Normal University Foshan528225 China KTH Royal Institute of Technology StockholmSE-114 28 Sweden College of Electronics & Information Engineering Shanghai Research Institute for Intelligent Autonomous Systems State Key Laboratory of Intelligent Autonomous Systems Frontiers Science Center for Intelligent Autonomous Systems Tongji University Shanghai201804 China

Scene flow estimation aims to predict 3D motion from consecutive point cloud frames, which is of great interest in autonomous driving field. Existing methods face challenges such as insufficient spatio-temporal modeling and inherent loss of fine-grained feature during voxelization. However, the success of Mamba, a representative state space model (SSM) that enables global modeling with linear complexity, provides a promising solution. In this paper, we propose MambaFlow, a novel scene flow estimation network with a mamba-based decoder. It enables deep interaction and coupling of spatio-temporal features using a well-designed backbone. Innovatively, we steer the global attention modeling of voxel-based features with point offset information using an efficient Mamba-based decoder, learning voxel-to-point patterns that are used to devoxelize shared voxel representations into point-wise features. To further enhance the model’s generalization capabilities across diverse scenarios, we propose a novel scene-adaptive loss function that automatically adapts to different motion patterns. Extensive experiments on the Argoverse 2 benchmark demonstrate that MambaFlow achieves state-of-the-art performance with real-time inference speed among existing works, enabling accurate flow estimation in real-world urban scenarios. The code is available at https://***/SCNU-RISLAB/MambaFlow. Copyright © 2025, The Authors. All rights reserved.

关键词： Motion estimation

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Mining microblog user interests based on TextRank with TF-IDF factor

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The Journal of China Universities of Posts and Telecommunications 2016年第5期23卷 40-46页

作者： Tu Shouzhong Huang Minlie State Key Laboratory of Intelligent Technology and Systems Tsinghua University

It is of great value and significance to model the interests of microblog user in terms of business and sociology. This paper presents a framework for mining and analyzing personal interests from microblog text with a new algorithm which integrates term frequency-inverse document frequency （TF-IDF） with TextRank. Firstly, we build a three-tier category system of user interest based on Wikipedia. In order to obtain the keywords of interest, we preprocess the posts, comments and reposts in different categories to select the keywords which appear both in the category system and microblogs. We then assign weight to each category and calculate the weight of keyword to get TF-IDF factors. Finally we score the ranking of each keyword by the TextRank algorithm with TF-IDF factors. Experiments on real Sina microblog data demonstrate that the precision of our approach significantly outperforms other existing methods.

关键词： microblog interest feature TF-IDF interest mining TextRank

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Small Signal Stability-Guaranteed Moving Target Defense Against Load Redistribution Attack On IoT-based Smart Grid

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IEEE Internet of Things Journal 2025年

作者： Wang, Bingdong Zhang, Zhenyong Wang, Mufeng Liu, Mengxiang Ye, Rui Deng, Ruilong Zhang, Xin Guizhou University State Key Laboratory of Public Big Data College of Computer Science and Technology Guiyang550025 China China Industrial Control Systems Cyber Emergency Response Team Beijing100040 China University of Sheffield Department of Automatic Control and System Engineering Sheffield United Kingdom Guizhou Power Grid Co. Ltd. Intelligent Operation Center China Zhejiang University State Key Laboratory of Industrial Control Technology College of Control Science and Engineering Hangzhou310027 China Huzhou Institute of Industrial Control Technology Huzhou313000 China

Moving target defense (MTD) is a promising approach to defend against load redistribution attacks on the internet-of-things (IoT)-based smart grid networks by probing the distorted state estimates with the distributed flexible AC transmission system. However, existing studies mainly focus on optimizing the performance of MTD and ignore the safety effect of it on the system’s operation. In this paper, we fill this gap by deeply analyzing the effect of MTD on the small signal stability and aim to alleviate the negative impact and guarantee its defending performance simultaneously. Firstly, the stability is formally described using the eigenvalue sensitivity. The relationship between the MTD-induced perturbation (MTDper) and the stability criteria is derived. Secondly, a new indicator is proposed to measure the effectiveness of MTDper. Thirdly, a constrained optimization problem is formulated to compute the bound of MTDper for guaranteeing the small signal stability. In addition, a surprising finding is that the stability margin can be improved and enhanced by optimizing the value of MTDper without losing the MTD’s effectiveness. Finally, we evaluate the performance of MTDper and its impact on the small signal stability with extensive simulations on the IEEE 30-bus, 39-bus, and 68-bus test power systems. © 2014 IEEE.

关键词： Constrained optimization

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Leader-Following Adaptive Tracking Control for A Class of Uncertain Discrete-Time Nonlinear Multi-Agent systems Under Event-Triggered Communication

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Journal of systems Science & Complexity 2025年第2期 756-781页

作者： XU Yuchun ZHANG Yanjun ZHANG Ji-Feng State Key Laboratory of Mathematical Sciences Academy of Mathematics and Systems Science Chinese Academy of Sciences School of Mathematics Sciences University of Chinese Academy of Sciences School of Automation Beijing Institute of Technology State Key Laboratory of Autonomous Intelligent Unmanned Systems Beijing Institute of Technology School of Automation and Electrical Engineering Zhongyuan University of Technology School of Mathematical Sciences University of Chinese Academy of Sciences

This paper studies the leader-following adaptive tracking control problem for multi-agent systems comprising a leader agent and N follower agents with uncertain nonlinear dynamics. Specifically, a novel event-triggered communication based adaptive distributed observer is developed to enable each follower agent to estimate the leader's information. Then, new forms of adaptive control law and parameter update law are designed with the estimated leader's signals. The developed distributed adaptive control strategy has several characteristics:(i) With the introduced time-varying observer gain, the designed adaptive distributed observer eliminates the need for global graph information but ensures convergence of the estimates;(ii) By appropriately designing the event-triggered mechanism,the communication frequency among follower agents is reduced in the sense that the communication rate decays over time;(iii) The newly designed adaptive control law ensures a linear estimation error equation, facilitating the development of a stable parameter update law without requiring prior knowledge of uncertain system parameters. The stability of closed-loop system and leader-following asymptotical tracking are achieved. Simulation study demonstrates the theoretical results.

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The nitrogen migration investigation during the pyrolysis and oxidation of C3 amines

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Fuel 2025年 398卷

作者： Zheng, Zhi-Hao Wang, Du Zhao, Long Yang, Jiu-Zhong Wang, Zhan-Dong Wang, Cui-Ping Tian, Zhen-Yu Shandong Key Laboratory of Integrated Multi-Energy Systems for High Efficiency and Intelligent Operation Shandong University of Science and Technology Shandong Province Qingdao266510 China Institute of Engineering Thermophysics Chinese Academy of Sciences Beijing100190 China University of Chinese Academy of Sciences Beijing100049 China National Synchrotron Radiation Laboratory University of Science and Technology of China Hefei230029 China State Key Laboratory of Long Term Energy Storage Institute of Engineering Thermophysics Chinese Academy of Sciences 11 Beisihuanxi Rd. Beijing100190 China

A chemical kinetic model consisting of 903 species and 5311 reactions was developed to give a comprehensive and reasonable prediction against the pyrolysis and oxidation of C3 amines. A series of pyrolysis and oxidation experimental results of three isomers, namely n-propylamine (NPA), iso-propylamine (IPA) and N-methyl ethylamine (MEA) were utilized to reveal the structure effect on the nitrogen migration. The kinetic model was validated against the experimental conditions under the temperature range of 550–1100 K in 760 Torr and 873–1348 K in 30 Torr. Three sets of comparisons of fuels, products, common and characteristic intermediates were made to illustrate the nitrogen reaction pathways of C3 amines. It was found that the onset temperature of MEA is much higher than NPA since more H radicals are generated in the primary amine pyrolysis while more CH3 radicals are formed in the secondary amine pyrolysis. C–C and C-N bonds can be easily broken by the β-scission reaction of MEA-derived primary radicals, producing CH3 and small molecular intermediates like CH2NH and CH3CN. The consumption of NPA and IPA are close at the same pyrolysis or oxidation conditions. More HCN was observed in NPA oxidation process since more CH2NH is converted into HCN by reaction with OH. The size of OH radical pools in NPA oxidation is larger than that in IPA oxidation. This work elucidates the effect of structural disparities on amine thermal chemistry, thus offering valuable insights into comprehending the kinetic behavior of C3 amines in thermal conversion processes and facilitating further exploration into the nitrogen migration pathways of biomass fuels. © 2025 Elsevier Ltd

关键词： Reaction intermediates

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Exploring the Interactions of Storylines from Informative News Events

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Journal of Computer Science & technology 2014年第3期29卷 502-518页

作者：胡珀黄民烈朱小燕 State Key Laboratory of Intelligent Technology and Systems Department of Computer Science and Technology Tsinghua University

Today＇s news readers can be easily overwhelmed by the numerous news articles online. To cope with information overload, online news media publishes timelines for continuously developing news topics. However, the timeline summary does not show the relationship of storylines, and is not intuitive for readers to comprehend the development of a complex news topic. In this paper, we study a novel problem of exploring the interactions of storylines in a news topic. An interaction of two storylines is signified by informative news events that play a key role in both storylines. Storyline interactions can indicate key phases of a news topic, and reveal the latent connections among various aspects of the story. We address the coherence between news articles which is not considered in traditional similarity-based methods, and discover salient storyline interactions to form a clear, global picture of the news topic. User preference can be naturally integrated into our method to generate query-specific results. Comprehensive experiments on ten news topics show the effectiveness of our method over alternative approaches.

关键词： text mining storyline interaction informative event coherence user preference

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The German energy transition after the Russia-Ukraine war – challenges and opportunities

Carbon Neutral Systems

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Carbon Neutral systems 2025年第1期1卷 1-16页

作者： Beck, Hans-Peter Hou, Zhengmeng Wang, Qichen Guo, Yilin Huang, Liangchao Yue, Ye Fang, Yanli Zhang, Tian Shi, Tianle Zhang, Ru Energy Research Centre of Lower Saxony Goslar Germany Institute of Subsurface Energy Systems Clausthal University of Technology Clausthal Zellerfeld Germany Sino-German Research Institute of Carbon Neutralization and Green Development Zhengzhou University Zhengzhou China State Key Laboratory of Intelligent Construction and Healthy Operation and Maintenance of Deep Underground Engineering Sichuan University Chengdu China

The Germans energy transition (Energiewende) is a long-term strategy aimed at transforming the country's energy system to achieve carbon neutrality by 2045. This transition is centered on three key pillars: improving energy efficiency, accelerating the deployment of renewable energy, and ensuring a stable energy supply during the shift away from fossil fuels. Over the past decades, Germany has made significant progress in expanding renewable energy sources, particularly wind and solar power, which now account for a substantial share of its electricity generation. The Russia-Ukraine war has posed significant challenges to the German energy transition, disrupting natural gas imports and leading to short-term measures such as the temporary reactivation of coal-fired power plants. This geopolitical shift has highlighted the need for Germany to accelerate the adoption of renewable energy and develop robust energy storage solutions to ensure long-term energy security. By 2030, Germany aims to install at least 20 GW of renewable capacity annually and develop 12 GW of energy storage to manage the intermittency of wind and solar power. Despite these challenges, the energy crisis has also created opportunities. The sharp rise in energy prices has incentivized investment in renewable energy and energy efficiency measures. Germany is now actively seeking alternative energy partnerships, strengthening cooperation with China in solar technology and exploring hydrogen collaborations with African nations. These strategic shifts are expected to play a crucial role in shaping the next phase of the Energiewende. This paper examines the evolving challenges and opportunities in the German energy transition, focusing on key aspects such as the expansion of renewable energy, energy storage solutions, and policy adjustments needed to navigate the changing energy landscape.

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