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arXiv 2021年

作者： Wang, Kai Liu, Yu Lin, Dan Sheng, Quan Z. School of Software Technology Dalian University of Technology Dalian116620 China Key Laboratory for Ubiquitous Network and Service Software of Liaoning Province China Department of Computing Macquarie University SydneyNSW2109 Australia

Recent knowledge graph embedding (KGE) models based on hyperbolic geometry have shown great potential in a low-dimensional embedding space. However, the necessity of hyperbolic space in KGE is still questionable, because the calculation based on hyperbolic geometry is much more complicated than Euclidean operations. In this paper, based on the state-of-the-art hyperbolic-based model RotH, we develop two lightweight Euclidean-based models, called RotL and Rot2L. The RotL model simplifies the hyperbolic operations while keeping the flexible normalization effect. Utilizing a novel two-layer stacked transformation and based on RotL, the Rot2L model obtains an improved representation capability, yet costs fewer parameters and calculations than RotH. The experiments on link prediction show that Rot2L achieves the state-of-the-art performance on two widely-used datasets in low-dimensional knowledge graph embeddings. Furthermore, RotL achieves similar performance as RotH but only requires half of the training time. Copyright © 2021, The Authors. All rights reserved.

关键词： Knowledge graph

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Modeling and analysis of three properties of mobile interactive systems based on variable Petri nets

arXiv

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arXiv 2021年

作者： Yang, Ru Ding, Zhijun Jiang, Changjun Zhou, MengChu The Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University The Department of Computer Science and Technology Tongji University Shanghai201804 China The Institute of Systems Engineering Macau University of Science and Technology 999078 China The Department of Electrical and Computer Engineering New Jersey Institute of Technology NewarkNJ07102 United States

Due to the mobility and frequent disconnections, the correctness of mobile interaction systems, such as mobile robot systems and mobile payment systems, are often difficult to analyze. This paper introduces three critical properties of systems, called system connectivity, interaction soundness and data validity, and presents a related modeling and analysis method, based on a kind of Petri nets called VPN. For a given system, a model including component nets and interaction structure nets is constructed by using VPNs. The component net describes the internal process of each component, while the interaction structure net reflects the dynamic interaction between components. Based on this model, three properties are defined and analyzed. The case study of a practical mobile payment system shows the effectiveness of the proposed method. Copyright © 2021, The Authors. All rights reserved.

关键词： Petri nets

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Penetration Trajectory Optimization of Hypersonic Gliding Vehicles with Multiple Constraints

Penetration Trajectory Optimization of Hypersonic Gliding Ve...

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第40届中国控制会议

作者： Zhipeng Shen Jianglong Yu Xiwang Dong Qingdong Li Zhang Ren School of Automation Science and Electrical Engineering Science and Technology on Aircraft Control Laboratory Beihang University Key Laboratory of Dependable Service Computing in Cyber Physical Society (Chongqing University) Ministry of Education of China Chongqing University

The penetration trajectory optimization problem of hypersonic gliding vehicles（HGV） with multiple constraints is investigated. Firstly, the attack-defense confrontation models are established, where the HGV is required to achieve effective penetration under interception missile using Proportional Navigation Guidance（PNG） method. Then the original penetration trajectory optimization problem under multiple constraints is converted into a second-order cone programming（SOCP） problem through linearization, discretization and convexification manipulation. The online sequential convex optimization algorithm is used to solve the SOCP problem. Finally, numerical simulations are given to demonstrate the effectiveness of the method and penetration effect.

关键词： Penetration Hypersonic gliding vehicles Trajectory optimization Convex optimization Multiple constraints

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Weapon target assignment strategy for multi-missile cooperative guidance with auction algorithm

Weapon target assignment strategy for multi-missile cooperat...

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第40届中国控制会议

作者： Qingze Li Xiwang Dong Qingdong Li Jianglong Yu Zhang Ren School of Automation Science and Electrical Engineering Science and Technology on Aircraft Control Laboratory Beihang University Key Laboratory of Dependable Service Computing in Cyber Physical Society (Chongqing University) Ministry of Education of ChinaChongqing University

This paper presents a weapon target assignment method to reduce maneuverability overload through redistribution for multi-missile cooperative attack. Firstly, a dynamic constrained model of multi-missile cooperative attack on multi-target is established. Secondly, in order to evaluate the missile’s cooperative attack performance better, a cooperative attack probability matrix considering the cooperative attack efficiency is constructed by taking the time-to-go and the line-of-sight rate as *** kinds of maneuvering overload results are compared to verify the effectiveness of redistribution, including unassigned process, primary target assignment and redistribution at the beginning of mid-to-terminal guidance handover. Then, an auction algorithm is used to solve the target assignment problem under multiple constraints. Finally, the simulation results show that the proposed algorithm is much less time-consuming than the existing intelligent optimization algorithms and meets the real-time requirement.

关键词： Weapon target assignment Multi-missile cooperative attack Redistribution Auction algorithm

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Finite-time adaptive cooperative guidance for multiple missiles

Finite-time adaptive cooperative guidance for multiple missi...

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第40届中国控制会议

作者： Pengfei Shi Jianglong Yu Ziyan Chen Xiwang Dong Zhang Ren School of Automation Science and Electrical Engineering Science and Technology on Aircraft Control Laboratory Beihang University Key Laboratory of Dependable Service Computing in Cyber Physical Society (Chongqing University) Ministry of Education of ChinaChongqing University

This paper studies the finite-time convergent cooperative guidance problem for multiple missiles to achieve the coordination of the flight time. The control variable is relaxed equivalently and an additional term utilizing the local state information is added such that the finite-time convergence being guaranteed. Furthermore, the time-varying coupling gains are introduced in the guidance law and an algorithm to depict the design process is proposed so that the cooperative guidance law for each follower missile is fully distributed. In addition, finite-time convergence of the guidance error is proved based on Lyapunov theory. Finally, a numerical example is displayed to validate the effectiveness of the proposed theoretical results.

关键词： Cooperative guidance finite-time convergence adaptive control

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Cooperative interception against highly maneuvering target with acceleration constraints for multiple heterogeneous missiles

Cooperative interception against highly maneuvering target w...

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第40届中国控制会议

作者： Wenlu Bai Ziyan Chen Jianglong Yu Xiwang Dong Hong Jiang School of Automation Science and Electrical Engineering Science and Technology on Aircraft Control Laboratory Beihang University Key Laboratory of Dependable Service Computing in Cyber Physical Society (Chongqing University) Ministry of Education of ChinaChongqing University

The cooperative interception problem of multiple heterogeneous missiles with low maneuverability against highly maneuvering target is studied in this paper. Firstly, the reachable area of the missiles and the escape area of the target are analyzed. The form of the guidance law based on the coverage-based cooperative interception strategy and the standard ballistic design method is given. Secondly, the algorithm for realizing the coverage distribution of multiple heterogeneous missiles is proposed. The parameter design of the cooperative guidance law and the conditions that the initial position of the missiles and target need to meet are derived. Thirdly, the number of heterogeneous missiles required to complete the coverage is calculated by numerical solution. The initial position and the guidance law parameters of each missile are given. Finally, it is verified by simulation examples that multiple heterogeneous missiles with low maneuverability can achieve cooperative interception against highly maneuvering target through the reasonable configuration of the initial interception position and the reasonable design of the cooperative interception guidance law.

关键词： Heterogeneous missiles cooperative interception highly maneuvering target acceleration constraints

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Cooperative guidance strategy with a leader-follower structure

Cooperative guidance strategy with a leader-follower structu...

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第40届中国控制会议

作者： Zhexin Shi Jianglong Yu Jiahong Wei Xiwang Dong Qingdong Li Zhang Ren School of Automation Science and Electrical Engineering Science and Technology on Aircraft Control Laboratory Beihang University Key Laboratory of Dependable Service Computing in Cyber Physical Society (Chongqing University) Ministry of Education of ChinaChongqing University

The cooperative guidance design and analysis issues for multiple robots system are investigated. First, a cooperative guidance structure is constructed by leader layer robots and follower layer robots. Then, for the leader robot layer, the cooperative detection guidance law is designed to achieve the coordination of the detection field of view（FOV）, while providing the reference trajectories. Third, for the follower robot layer, the time-varying line of sight（LOS） angle formation tracking guidance law is proposed based on the leader robots’ LOS angle trajectories convex combination. In addition, the design process is given ***, a cooperative guidance platform consisting of two leaders, three followers, and a target is constructed. The theoretical results are verified by numerical simulation examples, and experimental results are presented on the platform.

关键词： Paper Instruction Chinese Control Conference

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RASTE: A Relation-Guided Joint Method for Aspect Sentiment Triplet Extraction

RASTE: A Relation-Guided Joint Method for Aspect Sentiment T...

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Symposia and Workshops on Ubiquitous, Autonomic and Trusted computing, UIC-ATC

作者： Linyang Zhong Jiaxing Shang Linjiang Zheng Fei Hao Weiwei Cao Hong Sun Key Laboratory of Dependable Service Computing in Cyber Physical Society College of Computer Science Chongqing University Chongqing China School of Computer Science Shaanxi Normal University Xian China Key Laboratory of Flight Techniques and Flight Safety Civil Aviation Flight University of China Guanghan China Flight Technology and Flight Safety Research Base Civil Aviation Flight University of China Guanghan China

Aspect Sentiment Triplet Extraction (ASTE) is an important subtask of aspect-based sentiment analysis. It aims to extract aspect terms, corresponding sentiment polarities and related opinion terms from a sentence. The most advanced research efforts solve this problem in an end-to-end manner. However, they usually use one classifier to handle both relation detection and sentiment polarity classification tasks for aspectopinion pairs, which affects the prediction performance of the classifier. Moreover, the previous works treat subtasks equally, ignoring the differences between subtasks. In this paper, we propose a relation-guided method that models the relation detection and sentiment polarity classification subtasks differently to extract aspect sentiment triplets more effectively. Further, we capture the corresponding contextual features for each subtask separately to improve the overall performance of the model. We conducted experiments on two group benchmark datasets. Our model turns out to be one of the state-of-the-art models with effectiveness and superiority according to the experimental results.

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Joint Optimization of Dynamic service Selection and Request Routing in Cloud-Edge Collaborative Environments

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IEEE Internet of Things Journal 2025年

作者： Tang, Bing Xu, Wei Zhang, Li Cao, Buqing Yang, Qing Li, Kuanching Hunan University of Science and Technology School of Computer Science and Engineering Xiangtan411201 China Guangzhou Maritime University School of Computer Science Guangzhou510725 China Huaihua University School of Computer and Artificial Intelligence Huaihua418000 China Hunan Institute of Engineering School of Information Science and Engineering Xiangtan411104 China Hunan University of Technology School of Computer Zhuzhou412007 China Hunan University of Science and Technology Sanya Research Institute Sanya572024 China Hunan Key Laboratory for Service Computing and Novel Software Technology Xiangtan411201 China

Optimizing multi-instance service composition and dynamic request routing has become a critical challenge in cloud-edge collaborative systems. Existing solutions struggle with effectively balancing performance, cost, and bandwidth constraints in dynamic and resource-constrained environments. In this work, we address these challenges by proposing the Removed Minimum Cost Flow (RMCF) algorithm, aiming to minimize average response time while considering constraints such as budget and bandwidth, making it well-suited for time-sensitive services in a cloud-edge collaborative service provision system. Simulations were conducted using real-world data from China Telecom’s base stations in Shanghai, and experiments in various scenarios were considered, including time-sensitive services and general application services, with key performance indicators such as time utility, cost-utility, request completion rate, and timeout rate. The experimental results demonstrate that RMCF achieves lower response times, superior performance, and improved cost-effectiveness compared to other baseline algorithms. © 2014 IEEE.

关键词： Edge computing

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Wafer Map Defect Pattern Recognition Based on Self-Organizing Incremental Neural Network

Wafer Map Defect Pattern Recognition Based on Self-Organizin...

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Chinese Automation Congress (CAC)

作者： Naigong Yu Qiao Xu Mohammad Mehedi Hasan Kai Jiang Faculty of Information Technology Beijing University of Technology Beijing China Beijing Key Laboratory of Computing Intelligence and Intelligent System Beijing China Green Energy andArchitechture Research Center China Energy Investment Corporation Beijing China

ISBN: (纸本)9781665426480

Wafer map defect pattern (WMDP) recognition is critical to evaluate the semiconductor manufacturing process. Traditional WMDP recognition algorithms, such as deep learning-based methods, only focus on improving the accuracies of the seen patterns in the training set but ignore the recognition and incremental generalization of new emerging patterns. The model can only be retrained by using the overall dataset composed of new and old patterns to gain the ability to recognize the new patterns. To address the above problems, this paper proposes a WMDP recognition method based on self-organizing incremental neural network. The proposed method detects abnormal patterns according to the relationship between input response and adaptive threshold of winner neurons, updates the model only with new pattern samples by dynamically adjusting the number or connection of neurons. Experiments show that the proposed method has the ability to classify known patterns and discover unknown abnormal patterns. Its unique competitive learning mechanism makes it possible to update the model only with new pattern samples without catastrophic forgetting.

关键词： Training Semiconductor device modeling Learning systems Neurons Production Semiconductor device manufacture Hardware

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