- IoT and Edge/Fog Computing
- Energy Efficient Wireless Sensor Networks
- Smart Grid Energy Management
- Software-Defined Networks and 5G
- Network Security and Intrusion Detection
- Security in Wireless Sensor Networks
- Network Time Synchronization Technologies
- Wireless Body Area Networks
- Electric Motor Design and Analysis
- Microgrid Control and Optimization
- Magnetic Bearings and Levitation Dynamics
- Smart Grid Security and Resilience
- IoT Networks and Protocols
- Electric Power System Optimization
- Advanced Optical Network Technologies
- Wireless Networks and Protocols
- Advanced Sensor and Control Systems
- IoT-based Smart Home Systems
- Energy Load and Power Forecasting
- Industrial Technology and Control Systems
- Real-Time Systems Scheduling
- Wireless Sensor Networks and IoT
- IPv6, Mobility, Handover, Networks, Security
- Interconnection Networks and Systems
- Power Systems and Renewable Energy
Chongqing University of Posts and Telecommunications
2016-2025
Harbin Medical University
2025
State Grid Corporation of China (China)
2019-2025
Wuhan University of Technology
2002-2024
Xiamen University
2018
Guangxi University of Science and Technology
2017
Nanjing University of Posts and Telecommunications
2015
Hanyang University
2015
Tsinghua University
2002-2014
Konkuk University
2010-2014
Linear flat switched flux permanent magnet (SFPM) brushless machines have significant potential for many applications including transportation, automobile and aerospace. Novel E-core C-core linear SFPM are proposed optimized by individual parameter optimization, when the copper loss volume is fixed, in this paper finite element (FE) analysis. Then, results of optimizations examined a global optimization with genetic algorithm. Furthermore, thickness all middle teeth analyzed individually....
The fluctuations in electricity prices and intermittency of renewable energy systems necessitate the adoption online management schemes industrial microgrids. However, it is challenging to design effective optimal rolling horizon strategies that can deliver assured optimality, subject uncertainties volatile stochastic resources. This paper presents an adaptable scheme for microgrids minimizes costs while meeting production requirements by repeatedly solving optimization problem over a moving...
Detecting intrusion attacks accurately and rapidly in wireless networks is one of the most challenging security problems. Intrusion various types can be detected by change traffic flow that they induce. Wireless industrial based on for automation-process automation (WIA-PA) standard use a superframe to schedule network communications. We propose an detection system WIA-PA networks. After modeling analyzing data time-sequence techniques, we prediction model autoregressive moving average...
ABSTRACT Although many studies have conducted the traffic scheduling of time‐sensitive networks, most focus on small‐scale static for specific scenarios, which cannot cope with dynamic and rapid time‐triggered (TT) flows generated in scalable scenarios Industrial Internet Things. In this paper, we propose a Scalable TT flow method based Dynamic Online Grouping industrial networks (SDOG). To achieve that, establish an undirected weighted graph conflict index between divide available time into...
During the COVID-19 pandemic, public sentiment and demands have been prominently reflected on social media platforms like Weibo. Understanding these sentiments is crucial for governments, health officials, policymakers to make effective responses adjustments. The study aims analyze identify key concerning policies issues using Weibo data, providing insights improve China's legal systems in emergencies. used Python tools collect opinion data from regarding policy adjustments, issues,...
Abstract This paper focuses on addressing the challenges of finite‐time output tracking control for unmanned aerial vehicles (UAVs) with a particular emphasis security concerns. The potential impact denial‐of‐service (DoS) attacks integrity measurement‐to‐control communication channels is incorporated into our analysis. Such may disrupt central unit's capability to access real‐time measurement data, which encompasses system states and reference signal information. Under this consideration,...
<para xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> This paper presents a new 2-D permanent-magnet array for planar motor, in which the angle between magnetization directions of any two adjacent magnets is 45<formula formulatype="inline"><tex Notation="TeX">$^{\circ}$</tex> </formula>. The harmonic model flux density distribution solved by scalar magnetic potential equation and validated finite-element method. An analytical real-time control...
The smart industry is a significant realization of the internet things. IPv6 over time-slotted channel hopping (6TiSCH) new standard that has emerged as promising technology for industrial communications. demanding issues industries include scalability, latency, and energy efficiency. Existing studies have presented scheduling schemes 6TiSCH-based industries. However, these works are not suitable practical scenarios where emergencies frequently occur. Hence, this study aims to improve...
The rapid growth of Internet Things (IoT) devices and the increasing need for low-latency high-throughput applications have led to introduction distributed edge computing. Flying fog computing is a promising solution that can be used assist IoT networks. It leverages drones with capabilities (e.g., nodes), enabling data processing storage closer network edge. This introduces various benefits networks compared deploying traditional static paradigms, including coverage improvement, dense...
The Internet of Things (IoT) provides a major contribution to the innovation smart manufacturing and industrial automation. Due IoT, network devices intelligent machines exchange information through different types connection processes are predominantly automated. This reduces significantly need for more human intervention supports high performance. Nevertheless, utilization IoT in automation called Industrial (IIoT) has several issues, including management applications IIoT devices....
Industrial communication requires highly reliable networks with hard temporal constraints. Thus, the IEEE 802.1 Task Group proposed a promising technology, namely, time-sensitive networking (TSN), to complement determinism and real-time (RT) capabilities of Ethernet via set enhanced standards. To explore feasibility applicability TSN, we developed simulation model for TSN using module-based design method. Our TSN-compliant modules implement time-based traffic scheduling functionality...
Linear planar flux-switching permanent magnet (FSPM) brushless machines have significant potential for transportation application. A 6-slot/5-pole linear FSPM motor is optimized in this paper maximum thrust force at a fixed copper loss and also minimum cogging by finite element (FE) analysis. The influence of major design parameters, such as the split ratio between mover stator, stator pole width, height, back-iron thickness tooth on force, when fixed, firstly investigated individual...
With the advancement of IPv6 technology, many nodes in wireless sensor networks realize seamless connections with Internet via addresses. Security issues are a significant obstacle to widespread adoption technology. Resource-constrained face dual attacks: local and Internet-based. Moreover, constructing an active cyber defense system for IPv6-based is difficult. In this article, we propose K-nearest neighbor-based intrusion detection mechanism design secure network framework. This trains...
This paper presents novel overlapping ironless windings for permanent magnet planar motors, which have high winding factors and make full use of the magnetic field array in motor. A simple analytical model motors is developed validated by finite-element method first. Then are derived used to simplify model. Furthermore, design rules motor obtained from with optimized maximum steepness Compared nonoverlapping windings, a much (up 25%) larger force same copper loss nearly size when coils large...
The traditional centralized logistics resources allocation method can no longer adapt to the new business model of decentralized e-commerce, requiring transaction security for all parties involved in process. Utilizing blockchain and smart contract technologies build network foundation edge computing technology assist resource-constrained transport nodes implementing complex computation, this paper proposes a distributed chain (DLRAChain) concept designs DLRAChain that supports independent...
Mobile edge computing emerges as a promising technology for the industrial internet of things (IIoT). It provides more opportunities and efficient resources end-users when nodes are deployed at nearest IoT devices (IDs). However, IDs have limited capability battery life in IIoT environment due to their high computational tasks. The can offload tasks achieve low latency energy consumption. Our proposed work examines cell association offloading problem MEC-enabled environment. This is...
With the rapid development of industrial automation, higher requirements are put forward for reliable and deterministic communication in networks. And time-sensitive networking (TSN) is a promising technology that can satisfy such transmission requirements. Currently, TSN typically uses shortest path routing (SPR) algorithm to determine traffic. However, SPR may cause high load on single path, which makes it difficult improve schedulability determinism time-triggered (TT) In this paper,...
Due to the explosive growth of Internet things (IoT) devices and emergence diverse new applications, network traffic volume is growing exponentially. The traditional centralized architecture cannot fulfill IoT demand because heavy in industrial IoT. Moreover, have limited computational ability battery power. Energy consumption time delay problems during computation offloading are fundamental issues. A known as mobile edge computing (MEC) was introduced overcome these issues, which brings...
This work using the density functional theory simulates strong potential of CuO-decorated PtSe2 (CuO-PtSe2) monolayer as a recycle use C2H2 and C2H4 sensor in order to realize arc discharge monitoring based on nano-sensing method. Results indicate that CuO decoration causes n-type doping for with binding force (Eb) -2.49 eV, CuO-PtSe2 exhibits chemisorption electron-accepting properties two gas systems, adsorption energy (Ead) charge transfer (QT) obtained -1.19 eV 0.040 e system -1.24 0.011...