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2. Multi-sensor Data Fusion Algorithm Based on Adaptive Trust Estimation and Neural Network

Author

Wenzhen Feng, Junhua Wu, Wang Maoli, Zhao Xuexin, Guangshun Li, and Haili Yu

Subjects
Artificial neural network, Computer science, 05 social sciences, Exponential smoothing, 050801 communication & media studies, Sensor fusion, computer.software_genre, Multi sensor, 0508 media and communications, 0502 economics and business, Data fusion algorithms, Redundancy (engineering), 050211 marketing, Data mining, computer
Abstract

Multi-sensor data fusion technique plays a key role in the agricultural services such as data collection and processing. However, the collected data usually is featured by redundancies and errors, which deteriorate the reliability of network. In this paper, based on adaptive trust estimation, we propose a multisensor data fusion algorithm in Trust Neural Network (T-NN), aiming to solve the problem of low accuracy and poor stability of multi-sensor data fusion. In particular, the original data collected by the sensors first are pre-processed by exponential smoothing. Then, trust estimation model is applied to calculate the value of trust among the sensing nodes and optimize the data, and the performance of redundancy and reliability are enhanced. Furthermore, the data optimized is introduced into BP neural network for training and fusion. Extensive simulations show that the algorithm proposed in this paper greatly outperforms adaptive weighted average model and traditional BPNN model, in terms of the accuracy of data fusion.

Published
2020

3. Service Offloading With Deep Q-Network for Digital Twinning-Empowered Internet of Vehicles in Edge Computing.

Author

Xu, Xiaolong, Shen, Bowen, Ding, Sheng, Srivastava, Gautam, Bilal, Muhammad, Khosravi, Mohammad R., Menon, Varun G, Jan, Mian Ahmad, and Wang, Maoli

Abstract

With the potential of implementing computing-intensive applications, edge computing is combined with digital twinning (DT)-empowered Internet of vehicles (IoV) to enhance intelligent transportation capabilities. By updating digital twins of vehicles and offloading services to edge computing devices (ECDs), the insufficiency in vehicles’ computational resources can be complemented. However, owing to the computational intensity of DT-empowered IoV, ECD would overload under excessive service requests, which deteriorates the quality of service (QoS). To address this problem, in this article, a multiuser offloading system is analyzed, where the QoS is reflected through the response time of services. Then, a service offloading (SOL) method with deep reinforcement learning, is proposed for DT-empowered IoV in edge computing. To obtain optimized offloading decisions, SOL leverages deep Q-network (DQN), which combines the value function approximation of deep learning and reinforcement learning. Eventually, experiments with comparative methods indicate that SOL is effective and adaptable in diverse environments. [ABSTRACT FROM AUTHOR]

Published
2022
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6. Research on Fault Tree Modular Diagnosis Method for Agricultural Machinery Hydraulic System

Author

Hao Huijuan, Wang Maoli, Hao Fengqi, and Tang Yongwei

Subjects
Fault tree analysis, Agricultural machinery, business.industry, Computer science, Hardware_PERFORMANCEANDRELIABILITY, Modular design, Fault (power engineering), computer.software_genre, Expert system, Reliability engineering, Knowledge-based systems, Control system, Hydraulic machinery, business, computer
Abstract

A fault tree modular diagnosis method based on relative importance degree is proposed in this paper due to the complexity of the fault of hydraulic system. The relative importance of the module and the minimum cut set is calculated on the basis of the decomposed fault tree module. It realizes the fast fault location. The analysis of fault examples shows that the location of fault diagnosis will be more accurate with the richness of the fault tree knowledge base. And the location efficiency will be improved. The research of this paper can provide the basis for further research on fault diagnosis expert system of agricultural machinery hydraulic system, and also has important significance to improve the intelligent level of agricultural machinery equipment.

Published
2018

23. Hybrid Communication Path Orchestration for 5G Heterogeneous Ultra-Dense Networks.

Author

Zhang, Xinchang, Gu, Weidong, Zhang, Haijun, and Wang, Maoli

Subjects
MUSIC orchestration
Abstract

The heterogeneous ultra-dense network (UDN) has been widely regarded as a promising architecture for coping with the massive data traffic in future mobile networks including fifth generation mobile networks. There have been innumerable research efforts toward boosting the capacity of UDNs. Global communication path orchestration can better utilize UDN capacity; unfortunately, few studies focus on this topic. In this article, we propose a communication path orchestration architecture for heterogeneous UDNs. In this architecture, data can be transported from one interior communication node (i.e., a base station or user device) to another interior node along a hybrid device communication path (HDCP). HDCPs can be used for communications between two user devices and can be used to migrate traffic between backhaul links. Application- layer-assisted data forwarding allows HDCP to include various communication links including access links, backhaul links, and device-to-device links using licensed and unlicensed spectrum resources. HDCPs are centrally arranged to meet specific requirements and designated optimization objectives. We introduce two HDCP orchestration methods in this article. Our proposed solution can be used as a significant supplement to existing techniques for heterogeneous UDNs. [ABSTRACT FROM AUTHOR]

Published
2019
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24. Design and implementation of medical service robot with single arm and tracking function

Author

Ye Feng, Wang GuanJun, Zhang Ning, and Wang Maoli

Subjects
Service robot, Ubiquitous robot, Personal robot, Engineering, Social robot, Articulated robot, business.industry, Arm solution, Mobile robot, Control engineering, business, Robot control
Abstract

Service robots are emerging from the laboratory as commercial products. This paper focuses on one such service robot for Medical service purposes; it introduces the tracing type single-arm medical service robot production process. All parts of the design have been simulated and implemented using Altera tools. The robot can accomplish a number of provisions of action such as tracing, localization, grasping, lifting, and flat. The production of the robot to complete the above action and some research process are discussed in detail.

Published
2013

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