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International Conference on Guidance, Navigation and control, ICGNC 2020

作者： Wang, Mengchen Li, Zhimin Lai, Jizhou Lv, Pin Huang, Kai Navigation Research Center College of Automation Engineering Nanjing University of Aeronautics and Astronautics Nanjing211106 China Key Laboratory of Internet of Things and Control Technology in Jiangsu Province Nanjing University of Aeronautics and Astronautics Nanjing211106 China Shanxi Baocheng Aviation Instrument Co. Ltd. AVIC Baoji721006 China

ISBN: (纸本)9789811581540

Satellite fault detection and exclusion (FDE) is an important guarantee for Global Navigation Satellite System (GNSS) to provide standard services. With the great investment of GNSS construction in many countries, multi-constellation positioning needs higher multi-fault detection performance of Receiver Autonomous Integrity Monitoring (RAIM) algorithm. In this paper, an improved RAIM algorithm with decoupling parity vectors (DPV) is proposed for multi-satellite FDE. By means of decoupling of traditional parity vector, multiple fault observations are isolated at one time. To eliminate the interference of large faults and multiple faults, positioning with fault-free satellite set by iterative detection is adopted. The simulations show that the fault test rate of the algorithm in this paper is more than 99%. The 99% corresponds to faults which is less than 8 fault observations with more than 11 × σ bias (1σ = 10.5 m). The experiment results proved that DPV is effective in multiple faults scenario. © 2022, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Fault detection

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Multi-vehicle Collaborative Navigation Method Based on Datalink Relative Distance in GNSS Denied Environment

Multi-vehicle Collaborative Navigation Method Based on Datal...

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International Conference on Guidance, Navigation and control, ICGNC 2020

作者： Zhou, Zihan Lyu, Pin Lai, Jizhou Zhu, Xudong Huang, Kai Navigation Research Center College of Automation Engineering Nanjing University of Aeronautics and Astronautics Nanjing211100 China Key Laboratory of Internet of Things and Control Technology in Jiangsu Province Nanjing University of Aeronautics and Astronautics Nanjing211100 China Shanxi Baocheng Aviation Instrument Co. Ltd. AVIC Baoji721006 China

ISBN: (纸本)9789811581540

Multi-vehicle collaborative position improves the position accuracy of the entire fleet through the information interaction between vehicles. Traditional methods are mostly based on satellite navigation systems, and navigation accuracy is difficult to guarantee in GNSS denied environment. This paper presents a ranging datalink based collaborative navigation method for multi-vehicles. On each vehicle, this paper establishes the odometry, inertial navigation system (INS) and datalink system to obtain the absolute navigation information and relative navigation information of the vehicle. The relative distance between each vehicle is attainted by the datalink system. A four vehicles scene is considered. This paper establishes the speed and angle measurement model of sensors and the ranging model of datalink, and derives the state equation and measurement equation of the cooperative system as a whole. The simulation verification shows that the assistance of the datalink system can improve the absolute position and relative position accuracy of each vehicle. © 2022, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Inertial navigation systems

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Distributed non‐ideal leader estimation and formation control for multiple non‐holonomic mobile robots

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IET Cyber-Systems and Robotics 2022年第3期4卷 163-174页

作者： Peifen Lu Zhigang Ren Zongze Wu Zhipeng Li Shichao Zhou School of Automation Guangdong Hong Kong Macao Joint Laboratory for Smart Discrete ManufacturingGuangdong University of TechnologyGuangzhouGuangdongChina Key Laboratory of Industrial Internet of Things&Networked Control Ministry of EducationChongqing University of Posts and TelecommunicationsChongqingChina College of Engineering Qufu Normal UniversityQufuShandongChina School of Statistics and Data Science Nanjing Audit UniversityNanjingJiangsuChina

This paper studies a distributed formation problem for non‐holonomic mobile *** of the leader dynamics of the robots as non‐ideal,that is,subject to dis-turbances/unmodelled variables,is the distinguishing feature of this *** issue is resolved by a distributed combined disturbance‐and‐leader estimator,allowing for the distributed reconstruction of the leader's *** estimator needs to detect the leader's information and *** order to reject such disturbance and achieve the formation asymptotically,the control law incorporates the smooth estimator's estimate of the leader ***,the stability of the total distributed formation control algorithm is also examined using the Lyapunov ***,to show the viability of the pro-posed theoretical results,simulations and actual experiments are carried out.

关键词： distributed estimator disturbed leader formation control multiagent system nonholonomic mobile robots

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A Lightweight Model of VGG-U-Net for Remote Sensing Image Classification

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Computers, Materials & Continua 2022年第12期73卷 6195-6205页

作者： Mu Ye Li Ji Luo Tianye Li Sihan Zhang Tong Feng Ruilong Hu Tianli Gong He Guo Ying Sun Yu Thobela Louis Tyasi Li Shijun College of Information Technology Jilin Agricultural UniversityChangchun130118China Jilin Province Agricultural Internet of Things Technology Collaborative Innovation Center Changchun130118China Jilin Province Intelligent Environmental Engineering Research Center Changchun130118China Jilin Province Information Technology and Intelligent Agriculture Engineering Research Center Changchun130118China College of Engineering and Technology Jilin Agricultural UniversityChangchun130118China Department of Agricultural Economics and Animal Production University of LimpopoSovenga0727PolokwaneSouth Africa College of Information Technology Wuzhou UniversityWuzhou543003China Guangxi Key Laboratory of Machine Vision and Intelligent Control Wuzhou543003China

Remote sensing image analysis is a basic and practical research hotspot in remote sensing *** sensing images contain abundant ground object information and it can be used in urban planning,agricultural monitoring,ecological services,geological exploration and other *** this paper,we propose a lightweight model combining vgg-16 and u-net *** combining two convolutional neural networks,we classify scenes of remote sensing *** ensuring the accuracy of the model,try to reduce the memory of *** to the experimental results of this paper,we have improved the accuracy of the model to 98%.The memory size of the model is 3.4 *** the same time,The classification and convergence speed of the model are greatly *** simultaneously take the remote sensing scene image of 64×64 as input into the designed *** the accuracy of the model is 97%,it is proved that the model designed in this paper is also suitable for remote sensing images with few target feature points and low ***,the model has a good application prospect in the classification of remote sensing images with few target feature points and low pixels.

关键词： VGG-16 U-Net fewer feature points nonlinear correction layer zero padding

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Prediction of dissolved oxygen in a fishery pond based on gated recurrent unit (GRU)

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Information Processing in Agriculture 2021年第1期8卷 185-193页

作者： Wuyan Li Hao Wu Nanyang Zhu Yongnian Jiang Jinglu Tan Ya Guo Key Laboratory of Advanced Process Control for Light Industry(Ministry of Education) School of Internet of Things EngineeringJiangnan UniversityWuxi 214122China Jiangsu Internet Agricultural Development Center Nanjing 210017China Jiangsu Zhongnong IoT Technology Co. LTDYixing 214200China University of Missouri ColumbiaMO 65211USA

Dissolved oxygen(DO),an important water quality indicator in aquaculture,affects the survival rate of aquatic creatures and the yield of aquatic ***,it is important to predict DO in fishery ponds for applying artificial aeration with low energy and ***,deep learning models,such as recurrent neural network(RNN),long short-term memory(LSTM),and gated recurrent unit(GRU),are often used to predict the trend of time series,but it is unclear which one of them is more suitable for prediction of DO in fishery *** this work,the RNN model,LSTM model,and GRU model were used to build three DO predicting *** performance of the three models were compared by mean absolute error(MAE),mean square error(MSE),mean absolute percentage error(MAPE),and the coefficient of determination(R2).The performance of RNN is worse result than LSTM and *** four evaluation indicators of GRU are 0.450 mg/L,0.411,0.054,and 0.994,and the four indicators of LSTM are 0.407 mg/L,0.294,0.059,and 0.970,which shows that the performance of GRU is similar to LSTM,but the time cost and number of parameters used for GRU is much lower than *** is concluded that the GRU has overall better performance and can be applied to practical applications.

关键词： Dissolved oxygen RNN model LSTM model GRU model

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HRCP: Highly Robust Thermal Infrared and Visible Image Registration with Canny and Phase Congruence Detection

SSRN

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SSRN 2024年

作者： Chen, Mengting Yi, Shi Wu, Lang Yin, Hongli Chen, Ling College of Mechanical and Electrical Engineering Chengdu University of Technology Chengdu610059 China College of Mathematics and Physics Chengdu University of Technology Chengdu610059 China Vehicle Measurement Control and Safety Key Laboratory of Sichuan Province Chengdu610039 China Key Laboratory of Industrial Internet of Things & Networked Control Ministry of Education Chongqing University Of Posts And Telecommunications Chongqing400065 China Geomathematics Key Laboratory of Sichuan Province Chengdu University of Technology Chengdu610059 China

When a dual-optical vehicle-mounted camera is photographed, visible and thermal infrared (VI-T) images cannot be registrated, and realizing fine image matching becomes the key of this paper. (VI-T) image matching is of great interest due to the existence of challenging scale transformations, nonlinear radial distortion (NRD) and robustness under illumination conditions. To address these issues, a feature registration algorithm called HRCP is proposed. Firstly, the image is preprocessed and combined with adaptive thresholding GW-Canny edge detection and phase coherence (PC) for feature point detection to increase the number of edge feature points;secondly, the edges and corners are detected by using the SURF and FAST feature detectors, which are robust to scale invariance and rotational invariance;lastly, the optimal affine parameter is solved using the least square method with many iterations compared with the existing methods;finally, the RCP-RIFT is used to achieve the optimal affine parameter. Compared with the existing methods, the study achieves a robust registration. © 2024, The Authors. All rights reserved.

关键词： Multiobjective optimization

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Joint-Comb-Acquisition for High-Accelerating Doppler-Shift in Space Communications

Joint-Comb-Acquisition for High-Accelerating Doppler-Shift i...

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IEEE International Conference on Communications (ICC)

作者： Zhaowei Zhang Lin Liu Hui Liu Jun Yin Ruirui Chen Su Pan Jiangsu Key Laboratory of Broadband Wireless Communication and Internet of Things Nanjing University of Posts and Telecommunications Nanjing China School of Internet of Things Nanjing University of Posts and Telecommunications Nanjing China School of Software Engineering Jinling Institute of Technology Nanjing China School of Information and Control Engineering China University of Mining and Technology Xuzhou China

In space communications, the signal suffers a long-distance transmission and a high dynamic movement. The long-distance transmission causes a very low signal-to-noise ratio (SNR) and the high dynamic movement causes a high-accelerating Doppler-shift. To address the low SNR, the conventional strategy is long-time accumulation. However, during the long-time accumulation period, the high-accelerating Doppler-shift brings about the serious energy dispersion problem. In this paper, we propose one joint-comb-acquisition (JCA) scheme to address the energy dispersion problem. The proposed JCA scheme, which uses multiple accumulation periods to jointly construct a narrower comb-search-range, excludes most noise elements. Also, the theoretical analysis derives the closed-form expression for acquisition probability. Moreover, the simulation results demonstrate the significant increase of acquisition probability varies from 4.6 to 47.2 percents, as compared with the existing schemes.

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The Design of the Auxiliary Power Module for Magnetically Compressed Plasma Fusion

The Design of the Auxiliary Power Module for Magnetically Co...

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International Conference on Electronics technology (ICET)

作者： Zhiyuan Weng Huacai Lu Jie Fang Zhigang Weng School of electrical and Optoelectronic Engineering West Anhui University Lu-an Anhui China key laboratory of electric drive and control of Anhui province Wuhu China Intelligent equipment and Internet of things Lu’an Technology Innovation Center Lu-an Anhui China

In order to improve the operating parameters of plasma in Tokamak, operating at high density, high temperature and high beta, it has proved that the magnetically compressed plasma is one of the effective methods. In this paper, the topology of high frequency and high power auxiliary power supply system supplied by MC coil in EAST vacuum chamber is presented. The power supply system is composed of several power modules in parallel, which is realized by a series resonant full bridge circuit, and is controlled by current closed loop proportional integral control pulse width modulation. In addition, the model of the converter is simulated and analyzed, and the performance and control of the converter are verified by the test prototype. The efficiency of the power supply is effectively improved by the zeroswitching technology.

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A CPK-Based Identity Authentication Scheme for IoT

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Computer Systems Science & Engineering 2022年第3期40卷 1217-1231页

作者： Mingming Zhang Jiaming Mao Yuanyuan Ma Liangjie Xu Chuanjun Wang Ran Zhao Zhihao Li Lu Chen Wenbing Zhao State Grid Jiangsu Electric Power Co. Ltd.Information&Telecommunication BranchNanjing210008China State Grid Key Laboratory of Information&Network Security Institute of Information and CommunicationGlobal Energy Interconnection Research InstituteNanjing210003China Anhui Jiyuan Software Co.Ltd SGITGHefei230088China Engineering Research Center of Post Big Data Technology and Application of Jiangsu Province Research and Development Center of Post Industry Technology of the State Posts Bureau(Internet of Things Technology)Engineering Research Center of Broadband Wireless Communication Technology of the Ministry of EducationNanjing University of Posts and TelecommunicationsNanjing210003China Department of Electrical Engineering and Computer Science Cleveland State UniversityCleveland44115USA

As the power internet of things(IoT)enters the security construction stage,the massive use of perception layer devices urgently requires an identity authentication scheme that considers both security and *** existing public key infrastructure(PKI)-based security authentication scheme is currently difficult to apply in many terminals in *** key distribution and management costs are high,which hinders the development of power IoT security *** Public key(CPK)technology uses a small number of seeds to generate unlimited public *** is very suitable for identity authentication in the power internet of *** this paper,we propose a novel identity authentication scheme for power *** scheme combines the physical unclonable function(PUF)with improved CPK technology to achieve mutual identity authentication between power IoT terminals and *** proposed scheme does not require third-party authentication and improves the security of identity authentication for power ***,the scheme reduces the resource consumption of power IoT *** improved CPK algorithm solves the key collision problem,and the third party only needs to save the private key and the public key *** results show that the amount of storage resources occupied in our scheme is *** proposed scheme is more suitable for the power IoT.

关键词： Power internet of things terminal equipment identity authentication CPK PUF

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KCNN and BiLSTM-Mhead Attention emotion analysis model of Micro-blogs Based on Multi-feature fusion

KCNN and BiLSTM-Mhead Attention emotion analysis model of Mi...

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2020 International Conference on Big Data, Artificial Intelligence and internet of things Engineering, ICBAIE 2020

作者： Zhang, Shaojie Lu, Xianling Key Laboratory Advanced Process Control for Light Industry Ministry of Education Wuxi Jiangsu China Jiangnan University School of Internet of Things Engineering Wuxi Jiangsu China Jiangsu Key Laboratory of Iot Application Technology Wuxi Jiangsu China

ISBN: (数字)9781728164991

ISBN: (纸本)9781728164991

For important local features were ignored by the convolutional neural network in Micro-blogs emotion analysis, and contextual information could not be fully learned by the recurrent neural network, a mixed model of KCNNBiLSTM-MA based on multi-feature fusion was proposed. The K convolutional neural network was used to obtain the important Topk features of the partial features of sentences. Then the sentence sequence information and context connection were got from different directions through bidirectional long short-term memory network, and the Multi-head Attention is added to its foundation thus giving more attention to the important parts. Finally, the different features obtained are fused for classification. The experiment proves that the KCNNBiLSTM-MA model has better performance than other emotion analysis models. © 2020 IEEE.

关键词： Long short-term memory

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