Risk-energy aware service level agreement assessment for computing quickest path in computer networks

Sharma, Ashutosh; Kumar, Rajiv

doi:10.1504/ijrs.2019.097019

Cited by 56 publications

(47 citation statements)

References 33 publications

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“…The several techniques are analyzed and compared by the statistical analysis to find the predicting MUSINJ model [32][33][34]. The two stages comprise the statistical analysis.…”

Section: Discussionmentioning

confidence: 99%

Attribute Reduction Algorithm Based Early Warning Model of Sports Injury

Wang

Guo

2021

IJCAI

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With the continuous development of track and field sports, a relatively complete and scientific system has been formed in terms of training, and more attention has been paid to the planned training of teenagers for many years, psychological training and recovery training, and strengthening medical supervision and scientific research. In order to speed up the scientific training of track and field and improve the level of track and field training in China, in view of the characteristics of track and field injuries such as multiple causes and complexity, this paper analyzes and studies the attribute reduction algorithm based on attribute reduction algorithm, and proposes a sports injury early warning model based on mutual information. Taking the reduction results as input neurons, a BP neural network with hidden layer is established in MATLAB environment. The results show that: call 85% of the track and field athletes in the sample information as training samples for training. After the simulation experiment of the model, it is found that the error value of the prediction results is basically controlled in the range of-0.025-0.05, which meets the requirements of early warning accuracy of injury risk level of athletes, and the accuracy rate of early warning of sports injury risk reaches 100%.Povzetek: Razvit je sistem za zgodnje napovedovanje športnih poškodb.

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“…The several techniques are analyzed and compared by the statistical analysis to find the predicting MUSINJ model [32][33][34]. The two stages comprise the statistical analysis.…”

Section: Discussionmentioning

confidence: 99%

Attribute Reduction Algorithm Based Early Warning Model of Sports Injury

Wang

Guo

2021

IJCAI

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“…The vision-based system's accuracy cannot be video camera's technical specifications related. It is different from the other measurement approaches where the manufacturers provide the system's accuracy [27][28][29][30]. During a given calibration time span, it generally remain stable within assigned operational conditions.…”

Section: Errors and Uncertaintiesmentioning

confidence: 97%

Building vibration monitoring based on digital optical cameras

Wang¹,

Shao²

2021

J. vibroeng.

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The complex and process-critical conditions of machineries are needed to be continuously monitored in order for incipient breakdown to detect and ensure its high performance and operating safety. The change in the resonant frequency is focused by the spectrum analysis which is caused by the structural degradation and for health monitoring, useful information is produced. A test signal is required by the spectral analysis for health monitoring of structural condition. A test signal is the easiest way for structural spectral characteristics measurement but during every measurement, a structure vibration is impractical. Several techniques are presented for the condition of a machine depending on the application monitoring. The structure health would be able to be monitored if structural vibrations are utilized for spectral characteristics measurement due to wind and ground motion. The vision-based monitoring with the sources of errors are detailed and presented in this paper. Different parameters are observed for the different signals, unify the scale and can also be used to signals errors as compared with different levels of amplitudes. The PSNR and Structural Similarity are analyzed, the PSNR value is obtained in the range of 40 dB to 50 dB and the SSIM values are nearby to the 1 for all the signals. The MAPE and MAE values obtained by the presented technique are less for all the signal samples. The presented method outperforms the existed technique by 3.21 % to 44.02 % in form of MAPE. The presented method is 3.21 % to 44.02 % better than the previously existed technique in form of MAPE. The percentage improvement of the presented method outperforms by 33.93 % and 42.43 % in terms of MAE.

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“…This health data transmission has been requested as quickest with minimum delay. A number of authors [10,11,12,13,14,15] have been associated with the quickest path problem (QPP).…”

Section: Related Workmentioning

confidence: 99%

A Secure, Energy- and SLA-Efficient (SESE) E-Healthcare Framework for Quickest Data Transmission Using Cyber-Physical System

Sharma

Rathee

Kumar

et al. 2019

Sensors

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Due to advances in technology, research in healthcare using a cyber-physical system (CPS) opens innovative dimensions of services. In this paper, the authors propose an energy- and service-level agreement (SLA)-efficient cyber physical system for E-healthcare during data transmission services. Furthermore, the proposed phenomenon will be enhanced to ensure the security by detecting and eliminating the malicious devices/nodes involved during the communication process through advances in the ad hoc on-demand distance vector (AODV) protocol. The proposed framework addresses the two security threats, such as grey and black holes, that severely affect network services. Furthermore, the proposed framework used to find the different network metrics such as average qualifying service set (QSS) paths, mean hop and energy efficiency of the quickest path. The framework is simulated by calculating the above metrics in mutual cases i.e., without the contribution of malevolent nodes and with the contribution of malevolent nodes over service time, hop count and energy constraints. Further, variation of SLA and energy shows their expediency in the selection of efficient network metrics.

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Risk-energy aware service level agreement assessment for computing quickest path in computer networks

Cited by 56 publications

References 33 publications

Attribute Reduction Algorithm Based Early Warning Model of Sports Injury

Attribute Reduction Algorithm Based Early Warning Model of Sports Injury

Building vibration monitoring based on digital optical cameras

A Secure, Energy- and SLA-Efficient (SESE) E-Healthcare Framework for Quickest Data Transmission Using Cyber-Physical System

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