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2021 IEEE International Conference on Unmanned systems, ICUS 2021

作者： DIng, Yuanxue Qu, Yanchen Zhang, Qing Tong, Jiahui Yang, Xianhui Sun, Jianfeng Harbin Institute of Technology National Key Laboratory of Science and Technology on Tunable Laser Institution of Opto-Electronics Harbin China Beijing Electromechanical Engineering Institute Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing China

ISBN: (纸本)9780738146577

In recent years, unmanned aerial vehicle (UAV) technology has developed rapidly, which plays an important role in both military and civil fields. While it brings convenience to all walks of life, there are also a lot of security problems. Therefore, it is necessary to study anti-UAV technology, but the detection of UAV is an important basis of anti-UAV technology. In this paper, by combining the three-dimensional range profile collected by Gm-APD (Geiger mode Avalanche Photo Diode) lidar with the deep learning method, a UAV detection method based on the improved YOLOv3 (You Only Look Once v3) network is proposed. Firstly, the data of UAV in low altitude real scene is collected by Gm-APD lidar, and range profile information is generated. Then, the YOLOv3 network is improved, and the SPP module can be added to combine the local features of the target with the global features to improve the detection accuracy. It is suitable for the detection of UAVs. Finally, the trajectory of the UAV is drawn based on the distance information. The experimental results show that the improved method can effectively detect UAV targets, and is better than the previous method, YOLOv3-Tiny method and YOLOv4 method. The farthest detection distance is 238m, the detection speed is fast, and the purpose of real-time detection and positioning can be achieved. Therefore, this method can be applied to anti-UAV technology and has important research significance. © 2021 IEEE.

关键词： Optical radar

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Missing data imputation in PLS-SEM

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Quality and Quantity 2022年第6期56卷 4777-4795页

作者： Wang, Huiwen Lu, Shan Liu, Yide School of Economics and Management Beihang University Beijing China Key Laboratory of Complex System Analysis Management and Decision (Beihang University) Ministry of Education Beijing China School of Statistics and Mathematics Central University of Finance and Economics Beijing China School of Business Macau University of Science and Technology Macao

As a useful tool for business research, PLS-SEM is widely adopted for the assessment of causal-predictive relationships of models when developing and testing theories. Nevertheless, the less error-prone techniques for handling missing data are routinely ignored by PLS-SEM researchers. In this paper, we propose an imputation method, called EM PLS-SEM, to deal with missing values in PLS-SEM. The method takes advantages of the estimation procedure of PLS-SEM to reach the goal of filling the missing elements with values that are most likely to appear. Numerical studies verify that the proposed method outperforms other alternatives in data completion and model fitting. © 2022, The Author(s), under exclusive licence to Springer Nature B.V.

关键词： EM PCA Imputation Missing values PLS-SEM

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Improving performance of robots using human-inspired approaches: a survey

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science China(Information sciences) 2022年第12期65卷 5-35页

作者： Hong QIAO Shanlin ZHONG Ziyu CHEN Hongze WANG State Key Laboratory of Management and Control for Complex System Institute of Automation Chinese Academy of Sciences School of Artifcial Intelligence University of Chinese Academy of Sciences CAS Center for Excellence in Brain Science and Intelligence Technology

Realizing high performance of ordinary robots is one of the core problems in robotic research. Improving the performance of ordinary robots usually relies on the collaborative development of multiple research fields, resulting in high costs and difficulty to complete some high-precision tasks. As a comparison,humans can realize extraordinary overall performance under the condition of limited computational-energy consumption and low absolute precision in sensing and controlling each body unit. Therefore, developing human-inspired robotic systems and algorithms is a promising avenue to improve the performance of robotic systems. In this review, the cutting-edge research work on human-inspired intelligent robots in decisionmaking, cognition, motion control, and system design is summarized from behavior-and neural-inspired aspects. This review aims to provide a significant insight into human-inspired intelligent robots, which may be beneficial for promoting the integration of neuroscience, machinery, and control, so as to develop a new generation of robotic systems.

关键词： human-inspired intelligent robots brain-inspired intelligence decision making visual cognition musculoskeletal robots

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Simulation-Dynamic Modeling Of Supply Chains Based On Big Data 22

Simulation-Dynamic Modeling Of Supply Chains Based On Big Da...

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22nd International Symposium INFOTEH-JAHORINA, INFOTEH 2023

作者： Volneikina, Ekaterina Kukartseva, Oksana Menshenin, Andrew Tynchenko, Vadim Degtyareva, Kseniya Siberian Federal University Department of System Analysis Krasnoyarsk Russia Reshetnev Siberian State University of Science and Technology Information Control Systems Department Krasnoyarsk Russia Siberian Federal University Department of Informatics Krasnoyarsk Russia Department of Technological Machines and Equipment for Oil and Gas Complex Siberian Federal University Krasnoyarsk Russia Digital Material Science: New Materials and Technologie Bauman Moscow State Technical University Krasnoyarsk Russia Reshetnev Siberian State University of Science and Technology Department of Information Economic Systems Krasnoyarsk Russia

ISBN: (纸本)9781665475464

A simulation model of a simple supply chain consisting of a single distribution center and several points of sale was created. Initially, a new model was created with the name "Suplly Chain"and watches as units of model time. Next, a GIS (geographic information system) map was added to the diagram of the main object using the standard display settings. The distributor properties were defined and it marked the distribution point on the map. Next, retailers were added to the map: using the OpenStreetMap online server, to which AnyLogic sends addresses and receives coordinates and automatically arranges retailers. Manually added the properties of retailers. The next step was to create a model of trucks and their movement logic is set. To do this, a state diagram was used, with the help of which a diagram of the state of the logic of trucks was obtained. Using the New Agent Wizard, add a new agent type - order. It also changed the status chart to display order information. The created model was supplemented, where time was added for unloading and loading trucks from retailers. A basic simulation model of supply chains was built, and ideas for improving this model were considered. © 2023 IEEE.

关键词： Trucks

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SAR Target Recognition Based on Model Transfer and Hinge Loss with Limited Data 1st

SAR Target Recognition Based on Model Transfer and Hinge Los...

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1st CAAI International Conference on Artificial Intelligence, CICAI 2021

作者： He, Qishan Zhao, Lingjun Kuang, Gangyao Liu, Li State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System College of Electronics Science and Technology National University of Defense Technology Changsha China College of System Engineering National University of Defense Technology Changsha China CMVS Univeristy of Oulu Oulu Finland

ISBN: (纸本)9783030930455

Convolutional neural networks have made great achievements in field of optical image classification during recent years. However, for Synthetic Aperture Radar automatic target recognition (SAR-ATR) tasks, the performance of deep learning networks is always degraded by the insufficient size of SAR images, which cause both severe over-fitting and low-capacity feature extraction model. On the other hand, models with high feature representation ability usually lose anti-overfitting capability to a certain extent, while enhancing the network’s robustness leads to degradation in feature extraction capability. To balance above both problems, a network with model transfer using the GAN-WP and non-greedy loss is introduced in this paper. Firstly, inspired by the Support Vector Machine’s mechanism, multi-hinge loss is used during training stage. Then, instead of directly training a deep neural network with the insufficient labeled SAR dataset, we pretrain the feature extraction network by an improved GAN, called Wasserstein GAN with gradient penalty and transfer the pre-trained layers to an all-convolutional network based on the fine-tune technique. Furthermore, experimental results on the MSTAR dataset illustrate the effectiveness of the proposed new method, which additional shows the classification accuracy can be improved more largely than other method in the case of sparse training dataset. © 2021, Springer Nature Switzerland AG.

关键词： Feature extraction

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New design of smooth PSO-IPF navigator with kinematic constraints

arXiv

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arXiv 2024年

作者： Mohaghegh, Mahsa Jafarpourdavatgar, Hedieh Saeedinia, Samaneh Alsadat Auckland New Zealand Faculty of Design and Creative Technologies AUT Auckland New Zealand Control Engineering Department Amirkabir University Tehran Iran Complex System Laboratory Iran University of Science and Technology Tehran Iran

Robotic applications across industries demand advanced navigation for safe and smooth movement. Smooth path planning is crucial for mobile robots to ensure stable and efficient navigation, as it minimizes jerky movements and enhances overall performance Achieving this requires smooth collision-free paths. Partial Swarm Optimization (PSO) and Potential Field (PF) are notable path-planning techniques, however, they may struggle to produce smooth paths due to their inherent algorithms, potentially leading to suboptimal robot motion and increased energy consumption. In addition, while PSO efficiently explores solution spaces, it generates long paths and has limited global search. On the contrary, PF methods offer concise paths but struggle with distant targets or obstacles. To address this, we propose Smoothed Partial Swarm Optimization with Improved Potential Field (SPSO-IPF), combining both approaches and it is capable of generating a smooth and safe path. Our research demonstrates SPSO-IPF's superiority, proving its effectiveness in static and dynamic environments compared to a mere PSO or a mere PF approach. © 2024, CC BY.

关键词： Motion planning

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Large Eddy Simulation of Flow and Heat Transfer Performance in Periodically Inward Corrugated Tubes

SSRN

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SSRN 2023年

作者： Zhong, Yuzhou Song, Yueheng Zhao, Lei Mi, Fei Zhao, Jingquan Zhu, Xiaowei School of Aeronautic Science and Engineering Beihang University Beijing100191 China Science & Technology on Complex Aviation System Simulation Laboratory Beijing100070 China Co. Ltd. Henan453049 China

Corrugated tubes are extensively unitized in enhancing heat transfer within tubular heat exchange devices. The efficiency of these corrugated tubes is closely linked to the geometric characteristics of the surface corrugations. In this study, we conducted an extensive series of Large Eddy Simulations on a representative type of enhanced tube featuring periodic inward corrugations (PIC). Our goal was to compile a comprehensive and precise dataset of the thermal and hydraulic properties specific to this design. The key design parameters that define the corrugated patterns are corrugation height, corrugation width, and the length of the straight section. We systematically explored these parameters to understand their impact on heat transfer and fluid dynamics. Among these parameters, corrugation height has been identified as the most influential factor affecting flow and heat transfer properties. As the corrugation height varies from 1/8D to 3/8D, we observed a substantial increase in the friction factor and Nusselt number by a factor of 209 and 5, respectively, at Re = 1000;while the critical Reynolds number decreased roughly from 800 to 100. These findings underscore the significant role of corrugation height in shaping the flow and heat transfer performance of PIC tubes. The other two parameters, corrugation width and straight section length, were also found to be crucial in determining the overall heat transfer coefficient and pressure drop. The results of our study suggest that when utilizing this type of corrugated tubes, careful consideration is required to strike an optimal balance between heat transfer efficiency and pressure loss. The large-sets LES results presented in this paper can serve as valuable inputs for optimizing the design of PIC tubes. © 2023, The Authors. All rights reserved.

关键词： Large eddy simulation

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Consensus disturbance rejection control of directed multi-agent networks with extended state observer

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Chinese Journal of Aeronautics 2020年第5期33卷 1486-1493页

作者： Shaopan GUO Zhongkui LI Yifeng NIU Lizhen WU State Key Laboratory for Turbulence Complex System Department of Mechanics and Aerospace EngineeringPeking UniversityBeijing 100871China College of Intelligence Science and Technology National University of Defense TechnologyChangsha 410073China

This paper investigates the consensus disturbance rejection problem among multiple high-order agents with directed *** on disturbance observers,distributed consensus disturbance rejection protocols are constructed in leaderless and leader-follower consensus *** from the previous related papers,the consensus protocols in this paper are developed in a fully distributed fashion,relying on only the state information of each agent and its *** conditions are provided to guarantee that the asymptotic stability of high-order multi-agent systems can be reached with matched disturbances.

关键词： Adaptive control Consensus control Distributed control Disturbance rejection Multi-agent systems

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Multichannel Seismic Reflection Data Processing: Multiple Attenuation of Line 250 at the Coast of Southern California Using Hyperbolic Radon Transform 8

Multichannel Seismic Reflection Data Processing: Multiple At...

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8th Asian Physics Symposium, APS 2019

作者： Putra, A.S. Sismanto, N. Wardhani, D.P. Srigutomo, W. Laboratory of Geophysics Department of Physics Faculty of Mathematics and Natural Science Universitas Gadjah Mada Indonesia Laboratory of Complex System and Earth Science Department of Physics Faculty of Mathematics and Natural Science Bandung Institut of Technology Indonesia

Multichannel seismic reflection data processing of line 250 at the Coast of Southern California has been done by using Echos®. The purpose of this research is to separate multiple reflections from the primary reflection. Multiple reflections yield dramatic effect especially on marine seismic survey. Multiple reflections in marine seismic data is the noise caused by waves that trapped in a layer of sea water or rock layers. One of geophysics exploration problem is removing multiple reflections from primary reflection. Multiple reflections often destructively interfere with the primary reflection making interpretation difficult, so it's needed to get seismic section free from multiple reflections. There are some methods to attenuate the multiple reflections, one of them is Hyperbolic Radon transform. Hyperbolic Radon transform method works by transforming the data from time-offset domain into the Radon domain. Primary reflection and multiple reflections can be separated into Radon domain. In the end of this research, seismic section before and after multiple attenuation using hyperbolic Radon transform were compared. Based on the result of processing, it can be concluded that hyperbolic Radon transform is effective to attenuate multiple reflections at 0,24-l,25s TWT. But, it can eliminate some of data and makes seismic section seen unclear. © Published under licence by IOP Publishing Ltd.

关键词： Mathematical transformations

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Robust Output Synchronization of Discrete-Time Linear-Time-Invariant Multi-Agent systems Using Phase Tool

Robust Output Synchronization of Discrete-Time Linear-Time-I...

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European Control Conference (ECC)

作者： Xin Mao Dan Wang Wei Chen Li Qiu School of System Design and Intelligent Manufacturing Southern University of Science and Technology Shenzhen China Division of Decision and Control Systems KTH Royal Institute of Technology Stockholm Sweden Department of Mechanics and Engineering Science State Key Laboratory for Turbulence and Complex Systems Peking University Beijing China Southern University of Science and Technology Shenzhen China Hong Kong University of Science and Technology Hong Kong S.A.R. China

ISBN: (数字)9783907144107

ISBN: (纸本)9798331540920

In this paper, the output synchronization in large-scale discrete-time networks is examined by utilizing the novel phase tool, where the agent dynamics are allowed to be significantly heterogeneous. The synchronization synthesis problem is formulated and thoroughly investigated, with the goal of characterizing the allowable heterogeneity among the agents to ensure synchronization under a uniform controller. The solvability condition is provided in terms of the phases of the residue matrices of the agents at the persistent modes. When the condition is satisfied, a design procedure is given, producing a low-gain synchronizing controller. Numerical examples are given to illustrate the results.

关键词： Sufficient conditions Europe Heterogeneous networks Synchronization Multi-agent systems

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