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Electronic Information technology and Smart Agriculture (ICEITSA), International Conference on

作者： Wei He Shuang Li Key Laboratory of Intelligent Control Technology for Wuling-Mountain Ecological Agriculture Huaihua University Huaihua Hunan China College of Mathematic and Computing Science Huaihua University Huaihua Hunan China College of Music and Dancing Huaihua University Huaihua Hunan China

ISBN: (纸本)9781665413015

In this paper, we propose an approach for constructing concept tree of web content based on FCA and thesaurus, which aims to solve the problem of evaluating web content. Firstly, each paragraph of web content is extracted, and the characteristic phrases of the paragraph are obtained, which is used to generate formal context; Secondly, we exploit FCA to build the concept lattice according to the formal context; finally, thesaurus is used on the process of pruning and renaming the concept of concept lattice to gain the concept tree of web content. Experiment results show that the concept tree constructed by our proposed method in this paper has strong competitiveness in reconstructing web content and rationality judgment of classification of web page.

关键词： Web pages Lattices Thesauri Usability Semantic technology Digital agriculture

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A Temporal-Spatial Spectrum Prediction Based on Homotopy Theory for UAVs with Arbitrary Flight Paths

A Temporal-Spatial Spectrum Prediction Based on Homotopy The...

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International Conference on Communication technology (ICCT)

作者： Wenjun Zhou Shan Luo Yuwei Zhao Rongping Lin School of Aeronautics and Astronautics University of Electronic Science and Technology of China (UESTC) Chengdu China Aircraft Swarm Intelligent Sensing and Cooperative Control Key Laboratory of Sichuan Province UESTC Chengdu China School of Information and Communication Engineering UESTC Chengdu China

ISBN: (纸本)9781665432078

The higher demand for wireless communication services has promoted the widespread use of unmanned aerial vehicles (UAVs), but the spectrum resources for UAVs communication are becoming scarce. UAVs can use spectrum prediction to find available frequency bands and share spectrum with other users to solve the problem of spectrum resources shortage. However, due to the rapid speed of UAVs and constantly changing spectral environment, it is difficult to obtain the historical data of the next location in advance. Therefore, the existing methods cannot be well applied to the actual scenario of UVA flying randomly in a certain area. Based on the concept of homotopy theory (HT) and Hidden Markov model (HMM), we propose a new method that first estimates the historical information of the next location, then performs the spectrum prediction at the next moment. We conduct experiments with simulated data, and the results show that the proposed method can effectively predict the spectrum state of UAV flying in a specific area on the premise of obtaining the prior information of limited locations.

关键词： Wireless communication Conferences Hidden Markov models Predictive models Markov processes Autonomous aerial vehicles Communications technology

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Social manufacturing development with sino-finnish innovation cooperation

Social manufacturing development with sino-finnish innovatio...

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IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI

作者： Jian Liu Gang Xiong Xiuqin Shang Timo R. Nyberg Yiming Wang Tongkai Ji Chinese Academy of Sciences Institute of Automation Beijing China College of Information Science and Technology Beijing University of Chemical Technology Beijing China Department of Industrial Engineering and Management Aalto University Aalto Finland Chinese Academy of Sciences Cloud Computing Center Dongguan Guangdong China Qindao Academy of Intelligent Industries Qingdao China Boleni Intelligent Solutions Technology (SuZhou) Co. Ltd Joint Laboratory of Intelligent IoT & Cloud for Parallel Management & Control Suzhou China

ISBN: (纸本)9781509029280

Innovation is changing the world every day by offering new technical solutions for the society, and the technology development powered by innovation has been changing the operation and structure of traditional manufacturing. Social manufacturing is the new trend of manufacturing development, especially in the field of apparel industry. Social manufacturing can create opportunities for customers to participate in the produce process of tailoring, and to make more personalizing clothes, which will also benefit for the related companies' brand making process. With the assistance of internet technology and industry globalization, we can establish several modes about the trend of social manufacturing and new related technology, social manufacturing can also prompt the international division of labor by reducing the producing costs and enlarging the market capacity, we will analyze the advance of Sino-Finland cooperation in the field of innovation and apparel industry, the international cooperation in manufacturing industry will benefit both customers and industry revolution with the assistance of social manufacturing.

关键词： Industries Manufacturing Technological innovation Companies Internet Production facilities

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Optimized projections for generalized joint sparse representation based image fusion

Optimized projections for generalized joint sparse represent...

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Chinese control Conference (CCC)

作者： Qiheng Zhang Hongquan Yun Wen Ju Li Xu Zhengkun Lu Beijing Aerospace Institute of Automation Control Beijing P. R. China National Key Laboratory of Aerospace Intelligent Control Technology Beijing P. R. China College of Information Science and Engineering Guangxi University for Nationalities Guangxi Nanning P. R. China

ISBN: (纸本)9781467374439

Sparse representation (SR) and joint sparse representation (JSR) have attracted a lot of interest in image fusion. The SR models signals by sparse linear combinations of prototype signal atoms that make a dictionary. Compressed sensing (CS) has shown that sparse signals can be recovered from far less samples than those required by the classical Shannon-Nyquist Theorem. Random projections (random Gaussian, rGauss) were used since they present small coherence with almost any dictionary. However, optimizing the projection matrix toward decreasing the coherence between the projection matrix and the dictionary is possible and can improve the performance. The JSR indicates that different signals from an ensemble have a common sparse component, and each individual signal owns an innovation sparse component. The JSR offers lower computational complexity than SR does. Our previous work proposed the generalized joint sparse representation (GJSR) which the signals ensemble depends on two dictionaries. This paper gives a gradient method with Barzilai-Borwein stepsize (GBB) for the optimization of the projections in GJSR. The validity of the proposed method is illustrated by some experiments for synthesized signals and real-world image fusion.

关键词： Image fusion Joints Dictionaries Sparse matrices Measurement Image reconstruction Technological innovation

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Point-to-line feature-based SLAM map building algorithm

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Harbin Gongye Daxue Xuebao/Journal of Harbin Institute of technology 2009年第1期41卷 15-19页

作者： Cao, Meng-Long Cui, Ping-Yuan Deep Space Exploration Research Center Harbin Institute of Technology Harbin 150001 China Institute of Autonomous Navigation and Intelligent Control Qingdao University of Science and Technology Qingdao 266042 China

As there is a conflict between the requirements of computational complexity and information-richness within the point-feature based SLAM algorithm in outdoor environment, a point-to-line feature-based SLAM map building algorithm is presented in this paper. The tree information is sampled as point feature which is matched as line feature using math methods and associated to the map using the probability scheme. It is a new method to express the outdoor environment. A robust H∞ filter has been used to simulate the feasibility of the algorithm with MATLAB, the result shows that the algorithm can reduce the complexity of the information expression, which establishes the foundation for vehicle experimentation.

关键词： MATLAB

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A Multi-Agent Routing Algorithm with Trajectory Prediction for Highly Dynamic UAV Networks

A Multi-Agent Routing Algorithm with Trajectory Prediction f...

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International Conference on Optical Communications and Networks (ICOCN)

作者： Ziyi Zhao Qi Zhang Yuanfeng Li Xiangjun Xin Jianxin Ma Meng Sun Yi Zhao Furong Chai Feng Tian Fu Wang Qinghua Tian Yongjun Wang School of Electronic Engineering Beijing University of Posts and Telecommunications (BUPT) Beijing China Beijing Key Laboratory of Space-ground Interconnection and Convergence BUPT Beijing China Science and Technology on Information Systems Engineering Laboratory National University of Defense Technology Changsha China School of Information and Electronics Beijing Institute of Technology Beijing China Beijing Institute of Control and Electronic Technology Beijing China

To address the routing problems in high-dynamic UAV networks, a multi-agent routing algorithm with trajectory prediction is proposed. Simulations show the proposed algorithm can achieve better performance on the end-t... 详细信息

ISBN: (数字)9798350367652

ISBN: (纸本)9798350367669

关键词： Network topology Heuristic algorithms Routing Prediction algorithms Autonomous aerial vehicles Trajectory Delays

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Exploration research of thinking innovation based on PCST theory and knowledge graph

Exploration research of thinking innovation based on PCST th...

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Chinese Automation Congress (CAC)

作者： Xuejuan Huang Lina Wang Jun Ruan Songling Wu Dehua Li School of Sports Engineering and Information Technology Wuhan Sports University Wuhan P.R. China National Laboratory of Aerospace Intelligent Control Technology Beijing Aerospace Automatic Control Institute Beijing P.R. China School of Information Engineering Wuhan University of Technology Wuhan P.R. China School of Automation Huazhong University of Science and Technology Wuhan P.R. China

Thinking innovation is one of important driving forces to promote scientific and technological progress. Information technology can help humans to brainstorm as many potential ideas and methods as possible for given problems so as to inspire their creative thinking. Knowledge graph provides a structural method to storage human prior knowledge described by concepts and relationships between them in a graph way. The frame and models of Probability Construction space Theory(PCST) explained the mechanism of human creative thinking and procedure of new ideas generation. Our research work explores generation of new potential methods of detecting and perception geophysical information through simulating the creative thinking of new ideas of aircraft guidance based on the combination of theory and technology of knowledge graph and PCST. One experiment software system has been built to verify feasibility of this novel cognitive model and simulation method presented in our research work.

关键词： Technological innovation Software systems Brain modeling Cognition Atmospheric modeling Computational modeling Sports

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Artificial Bee Colony Algorithm based Auto-Disturbance Rejection control for Rehabilitation Robotic Arm Driven by PM-TS Actuator

Artificial Bee Colony Algorithm based Auto-Disturbance Rejec...

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2012 International Conference on Modelling,Identification and control(建模、辨别与控制国际会议 ICMIC 2012)

作者： Jun Wu Yongji Wang Jian Huang Kexin Xing Key Laboratory of Image Processing and Intelligent Control Department of Control Science and Enginee Key Laboratory of Image Processing andIntelligent Control Department of Control Science and Engineer College of Information Engineering ZhejiangUniversity of TechnologyHangzhouZhejiang 310032China

ISBN: (纸本)9781467315241

Pneumatic Muscle (PM) has the advantages of cheapness, light weight, compliance, safe and high power/*** is suitable for rehabilitation *** minimize the number of PM for driving a single joint of rehabilitation, a new PM-TS actuator comprising a PM and a Torsion Spring (TS) is *** the traditional agonist/antagonist PM actuator, the PM is arranged in appropriate place as agonist and the torsion spring provides opposing torque as antagonist in the proposed *** dynamic model of a 1-DOF (Degree of Freedom) rehabilitation robotic arm is derived considering the PM-TS *** realize high accurate trajectory tracking control of the robotic arm, an Artificial Bee Colony (ABC) algorithm based Auto-Disturbance Rejection control (ADRC) is proposed, where ABC is employed to optimize the control parameters of *** results demonstrate the validity of PM-TS actuator, and verify that the ABC based ADRC has satisfactory performance.

关键词： Pneumatic Muscle Artificial Bee Colony Auto-Disturbance Rejection control Rehabilitation Robotic Arm

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A WE-OSELM Online Prediction Algorithm to Engine control

A WE-OSELM Online Prediction Algorithm to Engine Control

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Computing, Communication, Perception and Quantum technology (CCPQT), International Conference on

作者： Jie Gao Xin Wang Ying Zhang Quality Manage Department Beijing Aerospace Automatic Control Institute Beijing China International Business Department Project Command Office China Academy of Launch Vehicle Beijing China National Key Laboratory of Science and Technology on Aerospace Intelligent Beijing Aerospace Automatic Control Institute Peking University Beijing China

ISBN: (数字)9798331528386

ISBN: (纸本)9798331528393

Based on the time series online prediction model, this paper proposes a WE-OSELM online prediction algorithm, which can control the product life and performance in real time in the field of engine, and effectively manage huge system engineering. The prediction model is closely related to the actual application of system engineering product modules and has great operability. This paper proposes the IPW-OSELM algorithm and error compensation algorithm with information perception weight as the core point, and relies on a dual parallel single hidden layer feedforward neural network to efficiently integrate related algorithms to form a WE-OSLEM algorithm. Among them, the information perception weight clarifies the relationship between point similarity and regional similarity in the case of fluctuations in the effectiveness of the data characteristics of the prediction object or mutations in a limited range, so that the online prediction algorithm has a more acute data characteristic perception ability in the process of responding to changes in data characteristics.

关键词： Quantum computing Fluctuations Time series analysis Error compensation Predictive models Prediction algorithms Systems engineering and theory Real-time systems Feedforward neural networks Engines

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Intention-Aware Planner for Robust and Safe Aerial Tracking

arXiv

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arXiv 2023年

作者： Ren, Qiuyu Yu, Huan Dai, Jiajun Zheng, Zhi Meng, Jun Xu, Li Xu, Chao Gao, Fei Cao, Yanjun The State Key Laboratory of Industrial Control Technology College of Control Science and Engineering Zhejiang University Hangzhou310027 China Huzhou Institute Zhejiang University Huzhou313000 China Huzhou Laboratory of Autonomous Intelligent Systems Huzhou313000 China The Robotics Institute Zhejiang University Yuyao315400 China College of Electrical Engineering Zhejiang University Hangzhou310027 China

Autonomous target tracking with quadrotors has wide applications in many scenarios, such as cinematographic follow-up shooting or suspect chasing. Target motion prediction is necessary when designing the tracking planner. However, the widely used constant velocity or constant rotation assumption can not fully capture the dynamics of the target. The tracker may fail when the target happens to move aggressively, such as sudden turn or deceleration. In this paper, we propose an intention-aware planner by additionally considering the intention of the target to enhance safety and robustness in aerial tracking applications. Firstly, a designated intention prediction method is proposed, which combines a user-defined potential assessment function and a state observation function. A reachable region is generated to specifically evaluate the turning intentions. Then we design an intention-driven hybrid A* method to predict the future possible positions for the target. Finally, an intention-aware optimization approach is designed to generate a spatial-temporal optimal trajectory, allowing the tracker to perceive unexpected situations from the target. Benchmark comparisons and real-world experiments are conducted to validate the performance of our method. Copyright © 2023, The Authors. All rights reserved.

关键词： Aircraft detection

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