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A Neighborhood Reconstruction-Based Cyber Attack Detection Method for Smart Grid Security
2024 IEEE International Conference on Systems, Man, and Cybernetics (SMC)
Year: 2024 | Conference Paper |
The integration of advanced communication and information technologies in smart grids has led to enhanced efficiency and reliability but also introduced security vulnera-bilities, prompting the need for robust cyber attack detection methods. Traditional approaches struggle to capture evolving attack patterns and handle high-dimensional data, highlighting the necessity for more sophisticated approa...Show More
Proactive Bandwidth Allocation for V2X Networks With Multi-Attentional Deep Graph Learning
Chenglong Wang;Jun Peng;Lin Cai;Weirong Liu;Shuo Li;Hu He;Zhiwu Huang
The increasing number of connected vehicles exacerbates the scarcity of spectrum resources in vehicle-to-everything (V2X) communication. To optimize the utilization of wireless resources, it is crucial to allocate the limited spectrum blocks to each roadside unit (RSU) based on the real-time bandwidth demand of vehicles within their coverage. However, the complex mobility patterns of vehicles and ...Show More
State-of-Charge Estimation of Supercapacitors: A Switched Systems Approach
State-of-charge (SOC) estimation of supercapacitors has been extensively studied in the literature, with most of the existing studies focusing on the SOC estimation of a single supercapacitor cell. However, in practical applications, supercapacitors are often connected to balancing circuits to eliminate cell imbalances. When the balancing circuit is activated, the system dynamics of the cell switc...Show More
State-of-charge (SOC) estimation of supercapacitors has been extensively studied in the literature, while most of existing studies are focused on the SOC estimation of a stand-alone supercapacitor cell. In practical applications, however, supercapacitors are connected with balancing circuits to eliminate the imbalance among cells. When the balancing circuit is activated, the system dynamics of the...Show More
The rapid development of intelligent transportation technology has promoted the progress of multiple trains cooperative technology. This paper proposes an online cooperative cruise control method based on improved particle swarm optimization (IPSO) and deep feedforward neural network (DFNN), which enables each train to adaptively adjust the controller according to its own state information, ensuri...Show More
A Physics-Informed Integrated Modeling Method for Lithium-ion Batteries
Yunsheng Fan;Zhiwu Huang;Kaifu Guan;Boyu Shu;Yongjie Liu;Zeyu Zhu;Peinan He;Shuo Li
Battery models play a crucial role in battery management systems, describing the inner workings of batteries. However, offline models cannot adapt to the battery parameter degradation. To address this issue, a physics-informed integrated battery model combines equivalent electrical circuits and a neural network regression model is proposed. Electrical circuits capture essential battery electricity...Show More
CSI-based Vehicle target recognition and Collaborative CNN with Data-Importance-Aware
Shuo Li;Dingquan Liu;Xin Liu;Yunfei Ma;Xin Gu;Yunsheng Fan;Pingping Wang;Yao Lu;Bowen Liu
2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC)
Year: 2022 | Conference Paper |
Cited by: Papers (5)
The introduction of orthogonal frequency division multiplexing (OFDM) and multiple input multiple output (MIMO) technology enables the new generation of the Internet of Vehicles to have the ability to integrate wireless communication and target tracking. Based on the new Internet of Vehicles, a cooperative convolutional neural network with data-importance-aware (DIA) is proposed.We use wireless ch...Show More
An Improved Indoor Map Construction Method Based on Millimeter-Wave Radar
Fei Li;Xinfu Wang;Shuo Li;Xin Gu;Kai Gao;Aina Qin;Zhiwu Huang
2021 7th International Conference on Automation, Robotics and Applications (ICARA)
Year: 2021 | Conference Paper |
Cited by: Papers (1)
Aimed at enhancing accuracy and enriching semantic features of indoor map construction which is used for path planning of robot, this paper proposes a novel method based on extracting features from point clouds which come from millimeter-wave radar, combined convolutional neural networks. Data obtained from millimeter-wave radar are divided into two parts. One part extracts line segments and edge ...Show More
WiFi-based Device-free Vehicle Speed Measurement Using Fast Phase Correction MUSIC Algorithm
Shuo Li;Yunfei Ma;Xin Gu;Yunsheng Fan;Pingping Wang;Yao Lu;Bowen Liu
2020 International Conferences on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData) and IEEE Congress on Cybermatics (Cybermatics)
Year: 2020 | Conference Paper |
Cited by: Papers (2)
With the rapid development of intelligent transportation, the new internet of vehicles will provide a ubiquitous wireless connection for vehicles in the future. The introduction of MIMO and OFDM technologies in the new Internet of Vehicles has improved the performance of the network, and at the same time made the network have the ability of environmental awareness. Using this new technology, a dev...Show More
Foreign Objects Intrusion Detection Using Millimeter Wave Radar on Railway Crossings
Huiling Cai;Fei Li;Dianzhu Gao;Yingze Yang;Shuo Li;Kai Gao;Aina Qin;Chao Hu;Zhiwu Huang
2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC)
Year: 2020 | Conference Paper |
Cited by: Papers (10)
The safety of railway crossings are of great important for rail and road transportation, because serious accidents occur in this area. Therefore, it is necessary to carry out foreign objects detection on railway crossings in order to improve the safety. Traditionally, video surveillance is one such solution, but it suffer from weather and illumination conditions. Under the hard environment conditi...Show More
A Temperature-Suppression Power Allocation Strategy for Hybrid Energy Management of EVs
Zhiwu Huang;Yinhui Le;Hongtao Liao;Yanhui Zhou;Yue Wu;Heng Li;Shuo Li;Xianqi Lu;Jun Peng
2019 IEEE Energy Conversion Congress and Exposition (ECCE)
Year: 2019 | Conference Paper |
In the hybrid energy storage system of electric vehicles, the high-rate charge and discharge operations typically lead to the significant temperature rise of batteries, which degrades the lifetime of batteries and poses safety awareness. Thus, suppressing the battery temperature rise is of great importance to enforce the reliability and extend the cycling life of batteries. In this paper, we propo...Show More
In order to realize obstacle intrusion detection on railway track, this paper proposes a detection scheme based on channel state information (CSI) that is exposed by commodity Wi-Fi AP. In this paper, the characteristics of multi-path propagation of wireless signals under obstacles are innovatively utilized. By collecting and processing CSI of wifi signals, the MUSIC algorithm is able to calculate...Show More
A Data-Based Approach for Sensor Fault Detection and Diagnosis of Electro-Pneumatic Brake
Yunyou Lu;Xiaoping Fan;Dianzhu Gao;Yijun Cheng;Yingze Yang;Xiaoyong Zhang;Shuo Li;Jun Peng
2019 IEEE International Conference on Prognostics and Health Management (ICPHM)
Year: 2019 | Conference Paper |
Cited by: Papers (2)
Sensor faults in the train electro-pneumatic brake system can cause severe performance degradation which may lead to accidents. Therefore, sensor fault detection and diagnosis of the brake are crucial for the train safety. However, the brake system is a complex integrated system with multiple operating modes, which makes the sensor fault detection and diagnosis more difficult. In this paper, we pr...Show More
An Escape Guidance Path Developing Method on Sparse Anchors for Underground Disaster Rescue
Shuo Li;Tiancheng Guo;Ran Mo;Xiaoshuai Zhao;Feng Zhou;Weirong Liu
2019 IEEE 28th International Symposium on Industrial Electronics (ISIE)
Year: 2019 | Conference Paper |
Cited by: Papers (1)
A challenging rescue task for the underground disaster is to guide the survivors getting away the dangerous area quickly. To address the issue, an escape guidance path developing method is proposed based on the deployed wireless sensor network. Firstly, a hybrid channel model is constructed to incorporate the underground complex communication characteristics. Then the anchors which have valid loca...Show More
An Active Mobile Charging and Data Collection Scheme for Clustered Sensor Networks
Kaiyang Liu;Jun Peng;Liang He;Jianping Pan;Shuo Li;Ming Ling;Zhiwu Huang
Recent years have witnessed the flourish of new promising technologies to prolong the lifetime of wireless sensor networks (WSNs). Employing mobile vehicles for wireless charging and data collection is able to balance the load of WSNs, and meanwhile, provide a reliable energy replenishment for sustainable network operations. Different from traditional charging scheduling policies where sensor node...Show More
User Selection with Energy Efficiency for Cooperative Spectrum Sensing in Energy Harvesting Cognitive Radio Networks
Fu Jiang;Wenni Yi;Rui Zhang;Shuo Li;Xiaoyong Zhang;Weirong Liu
2018 13th World Congress on Intelligent Control and Automation (WCICA)
Year: 2018 | Conference Paper |
Cited by: Papers (1)
In this paper, we consider a RF energy harvesting cognitive radio network (CRN) in which cooperating secondary users (SUs) are equipped with energy harvesting capabilities. The SUs can harvest energy by converting the received radio frequency (RF) signal into electricity. It is assumed that the SUs have different SNRs due to their distances from the primary user (PU). Our objective is to maximize ...Show More
A Data-driven Approach for Remaining Useful Life Prediction of Aircraft Engines
Caifeng Zheng;Weirong Liu;Bin Chen;Dianzhu Gao;Yijun Cheng;Yingze Yang;Xiaoyong Zhang;Shuo Li;Zhiwu Huang;Jun Peng
2018 21st International Conference on Intelligent Transportation Systems (ITSC)
Year: 2018 | Conference Paper |
Cited by: Papers (22)
It is crucial to predict the remaining useful life (RUL) of aircraft engines accurately and timely for the aircraft operation safety and appropriate maintenance decision. The key issue is how to efficiently mine the internal relation hiding in historical time series monitoring data with high dimension features. In this paper, a data-driven prediction method is proposed by combining the time window...Show More
Robust Fault Diagnosis for DK-2 Brake Based on Both Data-driven and Model
Yingze Yang;Cong Zhu;Shuo Li;Shuai Zhang;Pengcheng Xiao;Zhiwu Huang;Kuo-Chi Lin
2018 37th Chinese Control Conference (CCC)
Year: 2018 | Conference Paper |
In this paper, according to the dynamic features of strong coupling, non-linearity and uncertainty for the DK-2 brake, a fault diagnosis strategy based on data-driven and model is proposed for online monitoring and fault isolation. Firstly, based on the analysis of structure and operating principle of the DK-2 brake, the model is established by using bond graph. Secondly, based on the large amount...Show More
A Cooperative Interference Eliminated Mechanism in MIMO Systems
2018 IEEE International Conference on Big Data and Smart Computing (BigComp)
Year: 2018 | Conference Paper |
Cited by: Papers (3)
Multiple input multiple output (MIMO) can significantly improve the performance of wireless communication system due to transmission diversity and channel multiplexing. However, because of the use of massive antennas, both enabling technologies suffer from severe interference effects and energy loss problem, especially known as interference between users and energy dissipation caused by transmitte...Show More
In this paper, an energy harvesting based cooperative spectrum sensing in cognitive radio network is proposed to improve spectrum utilization and energy efficiency. We aim to exploit the optimal sensing time and energy harvesting time that maximize the spectrum access probability of the SUs under both sensing accuracy and energy constraints. A joint optimization problem of spectrum sensing time an...Show More
Ad hoc mobile cloud is a novel mobile task offloading framework, where mobile device users can share the computation resources with each other to achieve energy efficient task execution. This collaboration task execution strongly relies on nearby mobile user cooperation. Therefore, how to ensure the mobile users to share their computation resources is a challenging issue. In this paper, we propose...Show More
The channel resource allocation problem in high-speed railway wireless communication networks is one of the key issues in recent years. In this paper, we propose an efficient channel allocation scheme for priority-based services. In such a scenario, when a service request arrives, the proposed scheme will be helpful to provide an optimal decision of how many channel resources should be allocated a...Show More
Optimal operation of high-speed train using hybrid model predictive control
2017 29th Chinese Control And Decision Conference (CCDC)
Year: 2017 | Conference Paper |
Cited by: Papers (4)
The train operation process is highly nonlinear and has multiple constraints and objectives, which lead to higher requirements for the automatic train operation (ATO) system of high-speed train. In this paper, a hybrid Model Predictive Control (MPC) framework is proposed for the controller design of the ATO system. Firstly, a piecewise linear system with state and input constraints is constructed ...Show More
This study introduces an opportunistic multiple relays selection scheme based on the equivalent channel gain (ECG) with network coding in wireless cooperative communication system, so as to solve the complexity of channel environment and space diversity caused by broadcasting characteristic of wireless medium. The ECG is obtained by using bit error rate (BER), which reflects the overall channel qu...Show More
Multi-leader Multi-follower Game Power Control with Utility Learning for Cooperative Relay Networks over Interference Channels
Zhengfa Zhu;Jun Peng;Shuo Li;Fu Jiang;Weirong Liu;Qi Tong;Chaoliang Zhu
In this study, the power control problem for multi-user and multi-relay decode-and-forward (DF) cooperative networks over interference channels is investigated. To improve efficiency of power assumption in wireless networks with self-interested nodes, a utility learning based multi-leader and multi-follower stackelberg game-theoretic model is proposed to jointly allocate the power of users and rel...Show More
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