Prediction of Channel Utilization with Artificial Neural Networks Model in Mac Layer in Wireless Local Area Networks

Karakurt, Hacı Bayram; Koçak, Cemal; Özkan, Murat Tolga

doi:10.1007/s11277-022-09870-0

Cited by 2 publications

(4 citation statements)

References 31 publications

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“…Stress conditions were previously analyzed using methods such as FEM, photoelastic, experimental, numerical, statistical, ANN, etc.) [6][7][8][9][10][11][12][13][17][18][19][20][21].…”

Section: Applied Methodsmentioning

confidence: 99%

“…Neuronal activities can be categorized as inputs, weights, summation functions, activation functions, and outputs (Fig. 2) [6][7][8][9][10][11][12][13].…”

Section: Applied Methodsmentioning

confidence: 99%

“…Ozkan et al studied solid mechanics and performed to FEA solution and improved its ANN models. Good results were obtained using ANN [6][7][8][9][10][11][12][13]. SCFs, Ktα have been obtained for the mentioned bar as a function of the V angle, α [14].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Modeling of Stress Concentration Factor Using Artificial Neural Networks for a Flat Tension Bar with Opposite V-Shaped Notches

EREN,

TOKTAŞ,

ÖZKAN

2023

Politeknik Dergisi

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Machine parts are exposed to stress accumulation due to geometric differences. Determining the stress accumulation locations is crucial to the design procedures. Studies on stress concentrations have been conducted in the past using a variety of theoretical and experimental methodologies, and distinct interpretations have been offered depending on the geometry of the machine part to be produced. The ability to complete activities with the least amount of effort and in the shortest amount of time has emerged as a result of the new computer technologies and software that have impacted many aspects of our everyday lives. One of these methods is the artificial neural networks (ANN) model, which is a branch of artificial intelligence. It is argued as a thesis in this study that fast and low-cost solutions can be found to problems in the field of solid mechanics by using the ANN model. For this purpose, a model has been developed to determine the SCF value with the ANN model of a plate with symmetrical V-shaped notch. The graphs obtained from previous experimental studies were converted to digital format and the Kt values obtained for the V-shaped notch problem with different parameters were converted into a data file. In this file, the SCF values to be obtained according to the strength upper limit safety factor value of the machine part, depending on the dimensional dimensions and material type required for the design, are calculated numerically in the form of an Excel file. An ANN-based code was created in MATLAB software and a new solution method was presented for parts containing a V-shaped notch.

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“…Stress conditions were previously analyzed using methods such as FEM, photoelastic, experimental, numerical, statistical, ANN, etc.) [6][7][8][9][10][11][12][13][17][18][19][20][21].…”

Section: Applied Methodsmentioning

confidence: 99%

“…Neuronal activities can be categorized as inputs, weights, summation functions, activation functions, and outputs (Fig. 2) [6][7][8][9][10][11][12][13].…”

Section: Applied Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Modeling of Stress Concentration Factor Using Artificial Neural Networks for a Flat Tension Bar with Opposite V-Shaped Notches

EREN,

TOKTAŞ,

ÖZKAN

2023

Politeknik Dergisi

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“…This ANN model, drawing from previous expertise, engages in the identification, analysis, and comprehension of various subsystems within intricate systems. Subsequently, it updates the status information of the system and undertakes an iterative process to comprehend, analyze, and formulate an overall assessment of the system's security [19]. The system employs the gathered indicator data from the aforementioned "data pool" as inputs to the neural network and uses the resulting assessment values as anticipated outputs for training purposes.…”

Section: Establishment and Algorithm Design Of The Ironmaking Plant S...mentioning

confidence: 99%

A Dynamic Security Assessment Method for Ironmaking Plants Based on Cloud-Edge Collaboration in Reconstructed Networks

Bai,

Chen

2024

Sustainability

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Security assessment of ironmaking plants is one of the crucial means to promote their sustainable development. However, the disparate nature of subsystems within these plants, along with network inconsistencies and isolated data, obstruct a thorough and timely security assessment. At the same time, it is impossible to achieve the sustainable development goals of reducing the adverse impact of safety on the environment, ensuring economic benefits and the health of employees. This study addresses the complexities of heterogeneous networks, disparate systems, and segregated data that are prevalent in traditional ironmaking plants; and a method to reconstruct the plant’s network and execute security assessments is proposed. This method involves coupling existing systems with new ones to create comprehensive data and resource pools by aggregating information from diverse sources. Subsequently, employing multiple regression models and optimized neural network models at the edge and central cloud facilitates dynamic assessment of security concerns. This method enables concurrent consideration of both regional and overall security analysis and decision-making within the plant. Through simulation testing of 27 functionalized module indicator datasets over the preceding 12 months at a specific ironmaking plant, the efficacy of the proposed theoretical methods and technological approaches in constructing security systems for ironmaking plants is substantiated.

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Prediction of Channel Utilization with Artificial Neural Networks Model in Mac Layer in Wireless Local Area Networks

Cited by 2 publications

References 31 publications

Modeling of Stress Concentration Factor Using Artificial Neural Networks for a Flat Tension Bar with Opposite V-Shaped Notches

Modeling of Stress Concentration Factor Using Artificial Neural Networks for a Flat Tension Bar with Opposite V-Shaped Notches

A Dynamic Security Assessment Method for Ironmaking Plants Based on Cloud-Edge Collaboration in Reconstructed Networks

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