Network modelling and computation of quickest path for service-level agreements using bi-objective optimization

Sharma, Ashutosh; Kumar, Rajiv; Talib, Manar Wasif Abu; Srivastava, Seweta; Iqbal, Razi

doi:10.1177/1550147719881116

Cited by 66 publications

(56 citation statements)

References 56 publications

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“…They have high speed, high intensity, and high requirements for body control. Therefore, the pressure on the waist is large, which is easy to cause pain or acute injury in the waist [ 23 ]. In addition, the requirements of serving and spiking on the waist and back muscles are quite high, which requires good muscle strength and explosive power in the waist and abdomen, and the intensity and amplitude of lumbar activity are overloaded, which is very easy to produce lumbar injury.…”

Section: Results and Analysismentioning

confidence: 99%

The Diagnostic Value of Scanning in the Injury of Triceps Crus of Volleyball Players

Zhao

Liu

2022

Scanning

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The study goal is to solve the problem of the diagnosis of triceps crus injury of volleyball players, meet the needs of volleyball players and team doctors for the correct diagnosis of triceps crus injury scanning, make up for the deficiency that triceps crus injury scanning diagnosis is easy to make mistakes, and improve the efficiency and ability of triceps crus injury diagnosis scanning. Because the experiment involves the technical action of volleyball jump serve, DELSYSR Trignomobile wireless portable surface electromyography tester (16 leads) made in the United States is selected to test the surface electromyography of the main muscle groups of college male volleyball players in the process of jump serve. The German made simi-3D motion image system is used to conduct three-dimensional synchronous test of athletes’ jump serve action. The data analysis software adopts EMG work analysis, EMG analysis software, and simi-3D motion image analysis system for postprocessing data. The original signal is filtered (400 Hz for low pass and 20 Hz for high pass) and rectified. Finally, IEMG, EMG contribution rate, and RMS were calculated. This ensures the accuracy of the experiment.

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Section: Results and Analysismentioning

confidence: 99%

The Diagnostic Value of Scanning in the Injury of Triceps Crus of Volleyball Players

Zhao

Liu

2022

Scanning

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“…The linear separating hyper plane is utilized for training sample division into the classes in the SVM classifier. To achieve this task, there are two suitable methods: first method is to find out the optimal decision hyper plane [39,40]. The second method is optimal decision hyper-plane which makes the boundary between the two parallel planes.…”

Section: Support Vector Machine (Svm)mentioning

confidence: 99%

Review on engine vibration fault analysis based on data mining

Sharma¹,

Jia²

2021

J. vibroeng.

Self Cite

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Through equipment monitoring, the uptimes of machines are enhanced in the industrial applications. The unpredicted failures risks are minimized by the proper equipment monitoring. The machine vibrations are increased caused by the failure modes. The vibration data requires effective analysis by the accurate assessment of the machine equipment. For fault feature selection and detection of faults in rotating equipment, the empirical knowledge is required. Low efficiency of the methods and motor speed control are the main drawbacks of the existing techniques. So the basic aim of this paper is the detection of rotating equipment faults by utilizing the vibration analysis. The motor vibration is analyzed and monitored using spectrum analysis. The spectral content are extracted and fed into the classifier like k-Nearest neighbors (KNN), back-propagation neural network BPNN, Sparse Representation Classifier (SRC), Support vector machine (SVM) and Random Forest (RF) for the type of failure prediction and analyze the unbalance condition (UNB), bearing faults (BDF), and broken rotor bars (BRB) faults. The RF classifier is better as compared to other classifiers in terms of accuracy, precision and recalls values by approximately 10.92 %, 11.03 % and 20.13 % respectively.

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“…For example, there are several applications of optimization algorithms in truss structures like application of arti cial sh swarm algorithm, bee colony algorithm, re y algorithm, etc. [9][10][11].…”

Section: Introductionmentioning

confidence: 99%

Research on building truss design based on particle swarm intelligence optimization algorithm

Sun

Shabaz

et al. 2021

Preprint

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Optimization methodologies are being utilized in various structural designing practices to solve size, shape and topology optimization problems. A heuristic Particle swarm optimization (HPSO) algorithm was anticipated in this article in order to address the size optimization problem of truss with stress and displacement constraints. This article contributes in improvisation in the truss structure design rationality while reducing the engineering cost by proposing the HPSO approach. Primarily, the basic principle of the original PSO algorithm is presented, then the compression factor is established to improve the PSO algorithm, and a reasonable parameter setting value is presented. To validate the performance of the proposed optimization approach, various experimental illustrations were performed. The results show that the convergence history of experimental illustration 2 and experimental illustration 3 is optimal. The experimental illustration 2 converges after about 150 iterations, however, the experimental illustration 3 is close to the optimal solution after about 500 iterations. Therefore, the PSO algorithm can successfully optimize the size design of truss structures, and the algorithm is also time efficient. The improved PSO algorithm has good convergence and stability, and can effectively optimize the size design of truss structures.

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Network modelling and computation of quickest path for service-level agreements using bi-objective optimization

Cited by 66 publications

References 56 publications

The Diagnostic Value of Scanning in the Injury of Triceps Crus of Volleyball Players

The Diagnostic Value of Scanning in the Injury of Triceps Crus of Volleyball Players

Review on engine vibration fault analysis based on data mining

Research on building truss design based on particle swarm intelligence optimization algorithm

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