RETRACTED ARTICLE: A novel user interaction middleware component system for ubiquitous soft computing environment by using fuzzy agent computing system

Vasanthi, Rajkumar Krishnan; Jayavadivel, R.; Prasadh, K.; Vellingiri, J.; Akilarasu, G.; Sudhakar, S.; Balasubramaniam, P. M.

doi:10.1007/s12652-020-01893-4

Cited by 17 publications

(3 citation statements)

References 15 publications

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“…However, interactions between these entities may cause complexity. Vasanthi et al (2021) present a novel middleware component system for ubiquitous soft computing user interaction (Vasanthi, R., 2021). The proposed system uses fuzzy agent computing to improve functionality and effectiveness.…”

Section: Literature Surveymentioning

confidence: 99%

Enhancing User Experiences in Ubiquitous Soft Computing Environments with Fuzzy Agent Middleware

Thiruvalar,

R.,

Dr.M.A.P.

et al. 2023

JOWUA

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In the Ubiquitous Computing Environment (UCE) context, the successful provision of user-required services necessitates the collaboration of various system components, encompassing hardware parts, software components, and network connections. The utilization of UCE has presented some difficulties to customers seeking services in a diverse environment, including excessive Memory Usage (MU) and prolonged Component Construction Time (CCT). To optimize the user's experience, fuzzy agent employs a non-intrusive approach in online deep-rooted learning to get insights into user behavior. Integrating the advancements mentioned above aims to enhance the connectivity between users and information technology devices by utilizing an invisible network of UCE devices, creating dynamic computational environments that can effectively meet the users' needs. This work presents a unique methodology called Fuzzy Agent Middleware to Enhance User Experiences (FAM-EUI), which aims to improve user experiences in contexts where computer technology is seamlessly incorporated into everyday activities. This research endeavors to tackle the issues associated with imprecise data and enhance user-friendly interactions by integrating fuzzy logic with intelligent agents. The results highlight the potential of FAM in enhancing user interaction within ubiquitous soft computing, leading to improved efficiency and user-centered computing systems. This study provides valuable insights into integrating soft computing and agent-based technologies to enhance ubiquitous computing paradigms.

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Section: Literature Surveymentioning

confidence: 99%

Enhancing User Experiences in Ubiquitous Soft Computing Environments with Fuzzy Agent Middleware

Thiruvalar,

R.,

Dr.M.A.P.

et al. 2023

JOWUA

View full text Add to dashboard Cite

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“…We have used the UTKFace dataset for the identification of age and gender. On this dataset, we do pre-process, train the data, train the network, modeling, and evaluation [12].…”

Section: Experimentationmentioning

confidence: 99%

Age and Gender prediction using Convolution, ResNet50 and Inception ResNetV2

Meghana¹

2020

IJATCSE

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Age and gender prediction are used extensively in the field of computer vision for surveillance. Advancement in computer vision makes this prediction even more practical and open to all, thus enables the world to come up with datasets, one of which, used in this paper, is UTKFace that has 1000 pictures of male and female actors ageing from 0 to 100. In this paper, we propose a Convolution Neural Network (CNN) with ResNet50 architecture to predict age and gender. CNN is a Neural Network (NN) algorithm that extracts the deep features from the image and specifies the desired output at the final layers. Age prediction is approximately near to the real values with a five difference in both ways. Gender prediction is accurate in all the test data presented to the model. Validating with arguments shows no change in training and validation. Our model successfully executed with approximately 80% in gender prediction and 60% in age prediction that can be furtherly advanced with pipelining with other classification models and much larger real-world datasets.

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“…The most potent problem is that all the symmetrical keys processed on a central server permit the method to fail. A lightweight authentication system that does not need a central server processing of the secret keys [23]. The problem the researcher identifies in this article is that authentication information stored on a secure server under the existing scheme.…”

Section: Related Workmentioning

confidence: 99%

Blockchain - Facilitated IoT Built Cleverer Home with Unrestricted Validation Arrangement

Satheesh¹

2020

IJATCSE

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The growing blockchain technology proves promising opportunities for enhancing the industrialized system and the Internet of Things (IoT) by given that idleness, storage space, and encryption for applications. Over the last few years, many new applications have started to emerge in industrial IoT, and blockchain technologies have attracted the attention of many researchers in academic and industrial. Decentralized security and privacy system based in Blockchain provide an enormous lift to the infrastructure of the IoT. In a smart home, Blockchain technology serves as the perfect gatekeeper for all communication packages. Authentication of identity is required before the terminal accesses the service to prevent access to unauthorized. The fact that trustworthy third parties are introduced destroys not only the independence and flexibility of the IoT system but also source problems such as a breakdown position and unilateral control dangers. A dynamic trust-right method was developed to advance the blockchain output and decrease the no. of authenticated communication in new blocks. A review and verification solutions based on the blockchain technology of the state of the art identity organizations. This article describes a decentralized model of identity verification that can guarantee autonomy and security initiative.

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RETRACTED ARTICLE: A novel user interaction middleware component system for ubiquitous soft computing environment by using fuzzy agent computing system

Cited by 17 publications

References 15 publications

Enhancing User Experiences in Ubiquitous Soft Computing Environments with Fuzzy Agent Middleware

Enhancing User Experiences in Ubiquitous Soft Computing Environments with Fuzzy Agent Middleware

Age and Gender prediction using Convolution, ResNet50 and Inception ResNetV2

Blockchain - Facilitated IoT Built Cleverer Home with Unrestricted Validation Arrangement

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