UIP—A Smart Web Application to Manage Network Environments

Ezhilarasi, T. P.; Dilip, Golda; Latchoumi, T. P.; Balamurugan, K.

doi:10.1007/978-981-15-1480-7_8

Cited by 18 publications

(11 citation statements)

References 10 publications

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“…A Twin Rotor Axial Flux Machine based Power Electronic differential has been suggested in the present work to sweep out the short comings of existing topology (Ezhilarasi, 2020). This proposed novel differential system efficiently and effectively utilizes the energy resources.…”

Section: Proposed Topologymentioning

confidence: 99%

Reconfiguration of Propulsion System Topology Using Axial Flux Machines in Electric Vehicles

Babu¹

2021

TURCOMAT

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In this paper, an effort is made to reduce the size, weight and cost of Electric Vehicles (EVs) with the reconfiguration of propulsion motor topology. The new machine topology has been advantageously used to replace the conventional motors. A Twin Rotor Axial Flux Induction Machine (TRAFIM) having higher power densities, shorter axial lengths than classical Radial Flux Machines have been implemented in this work. This further reduces the other complexities associated with the mechanical differential which is indented to provide different speeds to two wheels in necessary conditions. The performance of EV has been remarkably improved with the proposed reconfiguration. This paper presents a comprehensive analysis of an EV with the adoption of Twin Rotor Axial Flux Induction Machine (TRAFIM).

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Section: Proposed Topologymentioning

confidence: 99%

Reconfiguration of Propulsion System Topology Using Axial Flux Machines in Electric Vehicles

Babu¹

2021

TURCOMAT

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“…A multiple dependent state variable sampling plans with process loss consideration was designed by AslamYen and Chang in the year 2014 (Aslam, 2014;Garikapati, 2020;Ezhilarasi, 2020) .In the year 2015, a flexible process-capability-qualified resubmission-allowed acceptance sampling scheme was made (Wu,2015; by Shu, Nugroho, and Kurniati , A repetitive group sampling plan based on the process capability index for the lot acceptance problem was introduced by Nezhad and Seifi in 2017 (Nezhad, 2017;Deepthi;Aroulanandam, 2020).Againin 2018 and 2019, Aslam has done a multiple dependent state repetitive sampling plans for one-Sided process capability indices (Aslam, 2019;DevaArul, 2011;Rebecca, 2019;Yen,2018;Sneha, 2020). Deva Arul , Edna and Jemmy designed mixed sampling plans for costly or destructive items in the year 2011 and 2019.…”

Section: Literature Reviewmentioning

confidence: 99%

A Blended Two-Sided Chain Sampling Plan Created on Process Potential Measure

Edna¹

2021

TURCOMAT

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This research article presents, a blended two-sided chain inspection plan with process potential measure. The Probability of acceptance and related measures are shown. Tables are prepared to find the parameters of the plan. In this plan the variable inspection sample size is obtained by using normal distribution and in the attribute inspection, two-sided chain sampling plan which yields small sample size is used the designed sampling plan is really used in production industries to study the product with respect to the specification measures and to defend the period and charge of inspection to impact on the end product.

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“…Accordingly, identical details will be encrypted using various security techniques such as cryptographic algorithms and the Advanced Encryption Standard (AES) algorithm.Established protective systems use cryptography, steganalysis, or a combination of the two. There is a unique, protected, and optimal means of image encryption that keeps unauthorized communications at bay [16][17][18][19][20][21][22][23].…”

Section: Research Gapmentioning

confidence: 99%

Medical Image Detection & Privacy Management With Elliptic Curve GOPSO Cryptographic Optimization Technique on the Internet of Health Things

B¹,

A²,

Shanthan³

et al. 2021

Preprint

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The advent of the Internet of Things (IoT) is to transform the health care sector and lead to the development of the Internet of Health Things (IoHT). This technology exceeds existing human services mechanically, financially, and socially. This paper used an advanced cryptographic framework that includes optimization strategies to look at IoHT medical image protection. The patient data kept on a cloud server which was detected and sensed from the IoHT Healthcare devices. It's critical to ensure the safety and privacy of patient clinical images in the cloud; here, an enhanced security framework for health information promotes trust. Next, we presented health care providers who could provide the full range of medical facilities for IoHT participants. In the process of encrypting/decrypting elliptical curves, the optimal key is selected using the Grasshopper Particle Swarm Optimization (GOPSO) to increase the security standard of medical images. Medical images are protected within IoHT by using this approach.The implementation results were analyzed and compared with a variety of encryption algorithms and their optimization techniques. The effectiveness of the proposed methods and the results show that the medical image is secure and prevents attacks in IoHT-based health care systems.

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UIP—A Smart Web Application to Manage Network Environments

Cited by 18 publications

References 10 publications

Reconfiguration of Propulsion System Topology Using Axial Flux Machines in Electric Vehicles

Reconfiguration of Propulsion System Topology Using Axial Flux Machines in Electric Vehicles

A Blended Two-Sided Chain Sampling Plan Created on Process Potential Measure

Medical Image Detection & Privacy Management With Elliptic Curve GOPSO Cryptographic Optimization Technique on the Internet of Health Things

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UIP—A Smart Web Application to Manage Network Environments

Cited by 18 publications

References 10 publications

Reconfiguration of Propulsion System Topology Using Axial Flux Machines in Electric Vehicles

Reconfiguration of Propulsion System Topology Using Axial Flux Machines in Electric Vehicles

A Blended Two-Sided Chain Sampling Plan Created on Process Potential Measure

Medical Image Detection &amp; Privacy Management With Elliptic Curve GOPSO Cryptographic Optimization Technique on the Internet of Health Things

Contact Info

Product

Resources

About

Medical Image Detection & Privacy Management With Elliptic Curve GOPSO Cryptographic Optimization Technique on the Internet of Health Things