Real Time Health Care Monitoring System for Driver Community Using Adhoc Sensor Network

Dhanapal, R.; Visalakshi, P.

doi:10.1166/jmihi.2016.1768

Cited by 10 publications

(8 citation statements)

References 6 publications

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“…Various types of fault diagnosis methods are used to properly integrate the information. It can also facilitate diagnosis and decisionmaking [19]. Using NN to strengthen the power equipment fault diagnosis has a series of advantages and good performance.…”

Section: Fault Diagnosismentioning

confidence: 99%

Design and Implementation of Fault Diagnosis System for Power Internet of Things Equipment Based on Neural Network

Ren

2022

Mobile Information Systems

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The design and application of the equipment fault diagnosis system have been improved and upgraded, allowing it to effectively detect the equipment’s operation status and promptly eliminate hidden faults, reducing the occurrence of unexpected accidents and improving the safety index of people’s lives. The purpose of this essay is to design and apply neural network (NN) fault diagnosis system model in power Internet of things (IOT) equipment and explore its accuracy and effectiveness. The BP neural network (BPNN) algorithm was used to construct model of a fault monitoring testing of the power IOT equipment. Neural network is an algorithmic mathematical model that imitates the behavioral characteristics of animal neural network and performs distributed parallel information processing. The network parameters were as follows: there were four input layer nodes, seven hidden layer nodes, and five output layer nodes, the training times were 10000, and the allowable error was 0.002. In this paper, we use the IOT to detect model of a fault monitoring testing of power equipment designed in each sample, the success rate is as high as 97.5%, and the designed network structure and network parameters are reasonable. The trained loss is less than 0.001, and the nontraining set samples may be appropriately identified. It is clear that the NN has a high application for power equipment fault diagnosis in the IOT value.

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Section: Fault Diagnosismentioning

confidence: 99%

Design and Implementation of Fault Diagnosis System for Power Internet of Things Equipment Based on Neural Network

Ren

2022

Mobile Information Systems

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“…The MFO procedure is a 3-tuple that approximate the global optima of the optimization problems. 22 MFO = (R, P, T), (6) where R denotes the function of random the population of moths which is obtained by matrix P as represented as…”

Section: Cascade Ff Neural Networkmentioning

confidence: 99%

A secure finger vein verification and authentication scheme for banking network

D¹,

Dhanapal

2022

Concurrency and Computation

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SummaryThe development of electronic exchanges has created a more important interest in fast and accurate customer IDs and verification. Structures, bank records, and PC framework often use personally identifiable access code IDs and test numbers (PINs) for reliable status. Biometric verification requires a level of security, unchanged structure, spoofing, and reliability. In this research work, a biometric authentication system was developed to provide security for access to the ATM network. Honest technology used for security purposes to provide efficient ATM network security is a finger vein. This method undergoes image processing technology such as preprocessing, feature extraction, and classification to locate the finger vein region for accessing the ATM network. Finally, the cascade neural network acts as a classifier method to differentiate registered and unregistered user. The performance analysis of this method is simulated by MATLAB and the process is evaluated to measure the efficient security of the network. The dataset is segregated into two stages; one for training and other for testing. The features extracted with the help of hidden layers with neurons. The matched finger vein is compared to check the accuracy.

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“…Several efficient solutions have also been demonstrated in the paper for removing those security threats over cloud. In [23], realtime health monitoring model has been proposed using Adhoc networks and the authors of [24] and [25] discussed about the model for secure and scalable data sharing between nodes in the communication networks.…”

Section: Related Workmentioning

confidence: 99%

A Decentralized Accountability Framework For Enhancing Secure Data Sharing Through Icm In Cloud

Dhanapal.¹,

Tharageswari.²,

Karthik.³

2019

IJITEE

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The Cloud substitutes a computing criterion where shared configurable resources are afforded as an on-demand service over the Internet. Moreover, the cloud environment provides resources to the users on the basis of services like SaaS, Mechanism (ICM) have also been developed. The overall process strengthens the security constraints over cloud. And the experimental results reveal that the approach affords secure and scalable data sharing with reduced memory utilization and processing time. PaaS and IaaS. Generally, a cloud can be referred as private cloud or public cloud. When a Cloud Service Provider (CSP) imposes upon public cloud resources to compile their private cloud, the result is demonstrated as a virtual private cloud. Private or public, the imperious intent of cloud computing is to provide simplistic, reliable usage of various computing resources. One of the significant features of cloud is that the outsourced data are accessed through any anonymous machines over the Internet. On the other hand, it creates an issue that user's fear of unknown access of data, which can become a major difficulty to the wide implementation of cloud. In this paper, a decentralized accountability framework is developed to monitor the actual usage and access of the data that is shared on cloud. For that, a logging mechanism that includes authentication for each user to access the data has also been provided. Moreover, some procedures for providing the data under the control of data owner includes Integrity Checking

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Real Time Health Care Monitoring System for Driver Community Using Adhoc Sensor Network

Cited by 10 publications

References 6 publications

Design and Implementation of Fault Diagnosis System for Power Internet of Things Equipment Based on Neural Network

Design and Implementation of Fault Diagnosis System for Power Internet of Things Equipment Based on Neural Network

A secure finger vein verification and authentication scheme for banking network

A Decentralized Accountability Framework For Enhancing Secure Data Sharing Through Icm In Cloud

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