Impact of error control code on characteristic distance in wireless underground sensor networks

Chowdhury, Sultan Mahmood; Hossain, Ashraf

doi:10.1049/iet-com.2018.0171

Cited by 12 publications

(11 citation statements)

References 27 publications

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“…GNN methods in parentheses refer to the names of the different GNN [23] schemes selected when constructing the ere are several advantages of using deep learning algorithms over traditional learning and other systems and lead to better results. Deep learning algorithms are more popular than the traditional machine learning models as they can achieve more accurate results when trained using large-scale datasets.…”

Section: Comparison With Different Graph Convolutional Neuralmentioning

confidence: 99%

An English Teaching Resource Recommendation System Based on Network Behavior Analysis

Zhang

2021

Scientific Programming

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The sharing of English teaching resources has always been a concern. In order to further improve the value of different English teaching resources, this paper proposes a resource management system based on an improved collaborative recommendation algorithm. The proposed model can predict user behavior based on deep learning models of graph neural network (GNN) and recurrent neural network (RNN). The graph neural network can capture the hidden state of local user behavior and be used as a preprocessing step. Recurrent neural networks can capture time series information. Therefore, the model is constructed by combining GNN and RNN to obtain the advantages of both. In order to prove the effectiveness of the model, we used CNGrid’s real user behavior dataset in the experiment and finally compared the results with other methods. The different deep learning-based models achieved a precision of up to 88% and outperformed other traditional models. The experimental results show that this new deep learning model has good sharing value.

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Section: Comparison With Different Graph Convolutional Neuralmentioning

confidence: 99%

An English Teaching Resource Recommendation System Based on Network Behavior Analysis

Zhang

2021

Scientific Programming

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“…erefore, the condition monitoring and braking control of oilfield minor repair machine equipment put forward new technical requirements, and the rapid development of information technology and digital technology provides solutions for the new problems faced by oilfield minor repair machine. e improvement of information technology in today's society has broken the limitation of traditional communication mode [5], making information exchange more free, fast, and convenient. e remote condition monitoring and fault diagnosis equipment relying on information technology can transmit the field operation data of oilfield minor repair machine to the server in real time.…”

Section: Introductionmentioning

confidence: 99%

Braking Control System of Oilfield Minor Repair Machine Based on Wireless Sensor Network

Zhang

2021

Security and Communication Networks

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Traditional minor repair machines have low control efficiency and low automation. In order to improve the brake control efficiency of the oilfield minor repair machine, the oilfield minor repair machine brake control system based on wireless sensor network is designed. The front-end controller collects the data of the oilfield repair machine through the wireless sensor and realizes the communication between the sensor nodes and the data interaction with the communication node through the field bus inside the equipment. The server uploads the processed data through the 3G network, and the server receives the data from the front-end controller and saves it in the database. The remote-control center accesses the server through the Internet to view the front-end controller data. The brake control module uses the expert fuzzy PID control method to control the speed, oil pressure, and operating status of the oilfield minor repair machine and sends the data to the front-end control center to complete the oilfield minor repair remote-control machine by sending control instructions. Experimental results show that the system can meet the braking control requirements of oilfield minor repair machines, the output can quickly track input changes, the braking control effect is good, the dynamic deviation of the machine can be reduced, and the braking control efficiency can be improved.

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“…e j e n e n T T Similarly, the control quantity of the (n-1)-th digital PID output can be obtained recursively, as shown in formula (5).…”

Section: A New Agricultural Supply Chain Frameworkmentioning

confidence: 99%

“…According to the agricultural supply chain node enterprise concentration degree classification Practice has proved that in the process of building supply chain, in order to achieve the "competition-cooperationcoordination" process and finally achieve the goal of winwin, there is always one enterprise (manufacturer, supplier, retailer) as the initiator and become the core of the supply chain. Therefore, the agricultural supply chain should also be built around the core enterprises or legal persons, which is conducive to reaching consensus among the nodes of the agricultural supply chain, reducing transaction costs and improving the operation efficiency of the supply chain [5]. Common structure includes two -level supply chain, threelevel supply chain and multi-level supply chain.…”

Section: Introductionmentioning

confidence: 99%

Research on Agricultural Supply Chain Architecture Based on Edge Computing and Efficiency Optimization

Cui

2022

IEEE Access

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This paper first reviews the related concepts of agricultural supply chain and the current research status of agricultural inventory models; proposes the classification standard of supply chain structure from four different aspects: the complexity of the supply chain node enterprises, the reliability of the supply chain and the optimization goal. In addition, this article starts from the characteristics of agriculture itself, according to the actual needs of the agricultural supply chain, considers the feasibility of the solution strategy from different sides and gives related models, which solves the related problems in the agricultural supply chain to a certain extent. At present, there are many researches on resource allocation algorithms at the edge of mobile networks, but the existing resource allocation algorithms still have the problem of high computational complexity and can still solve the above problems in resource utilization optimization. In order to solve these problems, this paper proposes a system architecture of the agricultural industry Internet of Things based on edge computing. The main motivations of this article are to improve the stability and usability of the system, and to enhance agricultural wisdom, so as to provide a reference for the development of precision agriculture. According to this method, Firstly, from the perspective of how to improve the energy efficiency of mobile terminals, methods to improve the energy efficiency of mobile terminals are studied in multi-user systems where mobile terminals compete for MEC servers with limited computing resources. Then, this paper focuses on the waste of computing resources caused by user movement under the scenario of limited server coverage in MEC system, and studies the problem from the perspective of effective management of computing resources. Experimental results show that the proposed algorithm has good performance.

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Impact of error control code on characteristic distance in wireless underground sensor networks

Cited by 12 publications

References 27 publications

An English Teaching Resource Recommendation System Based on Network Behavior Analysis

An English Teaching Resource Recommendation System Based on Network Behavior Analysis

Braking Control System of Oilfield Minor Repair Machine Based on Wireless Sensor Network

Research on Agricultural Supply Chain Architecture Based on Edge Computing and Efficiency Optimization

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