A5055492438- IoT and Edge/Fog Computing
- Digital Transformation in Industry
- Advanced machining processes and optimization
- Manufacturing Process and Optimization
- Energy Efficient Wireless Sensor Networks
- Smart Cities and Technologies
- Underwater Vehicles and Communication Systems
- Indoor and Outdoor Localization Technologies
- IoT Networks and Protocols
- Flexible and Reconfigurable Manufacturing Systems
- Anomaly Detection Techniques and Applications
- Reliability and Maintenance Optimization
- Advanced Manufacturing and Logistics Optimization
- Metaheuristic Optimization Algorithms Research
- Energy Harvesting in Wireless Networks
- IoT and GPS-based Vehicle Safety Systems
- Advanced Technologies in Various Fields
- Advanced Neural Network Applications
- RFID technology advancements
- Industrial Vision Systems and Defect Detection
- Advanced Machining and Optimization Techniques
- Integrated Circuits and Semiconductor Failure Analysis
- Risk and Safety Analysis
North China University of Science and Technology
2011-2024
The localization of sensor nodes is an important problem in wireless networks. DV-Hop algorithm a typical range-free algorithm, but the accuracy not high. To further improve accuracy, this paper designs based on multi-objective salp swarm optimization. Firstly, hop counts are subdivided, and average distance corrected minimum mean-square error criterion weighting. Secondly, traditional single-objective optimization model transformed into model. Then, third stage DV-Hop, improved used to...
A new method was proposed to address fault diagnosis by applying the digital twin (DT) high-fidelity behavior and deep learning (DL) data mining capabilities. Subsequently, distribution GAN (FDGAN) built map virtual physical entities for from established test platform. Finally, MobileViG employed validate model diagnose faults. The accuracy of with training samples 600 800 were 88.4% 99.5%, respectively. These accuracies surpass those other methods based on CycleGAN (98.86%), CACGAN...
Steel is an important raw material of fluid components. The technological level limitation leads to the surface faults steel, thus key improving components quality diagnose in steel production. complex shape and small size result low accuracy diagnosis, large network poor real-time performance. Therefore, aiming at problems, improved YOLOV5 proposed. Firstly, reduce feature information loss, coordinate attention used improve YOLOV5, diagnosis ability can be improved. Secondly, further a new...
A new method based on a digital twin is proposed for fault diagnosis, in order to compensate the shortcomings of existing methods diagnosis modeling, including single type, low similarity, and poor visual effect state monitoring. First, test platform established analyze faults under constant variable speed conditions. Then, obtained data are integrated into Unity3D realize online updated with real-time working status data. Finally, an industrial model conducted, allowing its comparison other...
Energy conservation is one of the main problems in a wireless sensor network (WSN). Compared with single cluster head (CH), dual CH optimization was proposed for less energy consumption by WSN and an acquisition delay mobile sink (MS). Firstly, fuzzy c-means clustering algorithm multi-objective particle swarm were utilized determinations first second CHs. Following that, ideal trajectory MS assessed using improved ant colony algorithm. Finally, lifetimes, death rounds node 50% node, number...
As the amount of data input increases, fog devices on IoT edge networks become increasingly inefficient. However, a well-designed computing resource-scheduling strategy can help to reduce excessive time delays and energy consumption. Therefore, in this paper, we propose an efficient strategy. First, used particle swarm optimization (PSO) determine optimal load balance among nodes obtain computation consumption single cluster. Second, designed genetic joint artificial bee colony algorithm...
Because of its potential and hazardousness, the road transport dangerous goods (RTDG) takes more attentions recent years. But in china, most RTDG monitoring systems can only track vehicle path or such static tasks which using 3G technology. Therefore, powerful dynamic system is needed. In this paper, we first analyze conditions including causes accidents, situation technologies. Then a proposed based on Internet Things (IOT) Radio Frequency Identification (RFID) This four-layer framework...
The development of iron and steel industry needs corresponding strong logistics system. It's important for system that reduces costs improves security transport equipment through modern methods. railway is an part internal logistics. torpedo train special molten transportation which has the characteristics overloading high-risk. In this paper, based on actual situation Tangsteel, features causes analysis was given using Fault Tree Analysis (FTA). Then, take targeted measures including...
In the logistics equipment manufacture enterprises such as shipbuilding and support roller producing, steel tube AS/RS was extensively applied always core component of whole system. As storage retrieve parts raw residual tubes for follow up processes, modeling optimizing research important to improve operational efficiency overall performance this paper, based on characteristics requirements processes connection, we propose a flexible manufacturing system give Petri net model used in...