Advanced algorithms and applications based on IoT for the smart devices

Park, Jong Hyuk; Yen, Neil Y.

doi:10.1007/s12652-018-0715-5

Cited by 17 publications

(5 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…As the next generation of Internet-of-Things [23], CPS is a networked, highly interconnected, multilayered system that encompasses a variety of physical entities [24]. CPS is intelligent if it can observe smart spaces autonomously, build a model of relationships and interactions with intelligent elements and do action in response to the manufacturing instructions [25].…”

Section: Cps and Cppsmentioning

confidence: 99%

Designing and modeling of self-organizing manufacturing system in a digital twin shop floor

Song

Zhang

Tang

et al. 2023

Int J Adv Manuf Technol

View full text Add to dashboard Cite

The increasing personalized product demands bring reformation to the manufacturing paradigm. Traditional manufacturing systems seldom analyze and give feedback on the data collected during production. The bottleneck between the physical and digital worlds of manufacturing systems is the lack of interoperability. In this paper, a digital twin-based self-organizing manufacturing system (DT-SOMS) is presented under the individualization paradigm. On the basis of interconnection between smart workpieces and smart resources via decentralized digital twin models, a decentralized selforganizing network is established to achieve intelligent collaboration between tasks and resources. The mechanism of job-machine optimal assignment and adaptive optimization control is constructed to improve the capabilities of reconfiguration and responsiveness of the DT-SOMS. An implement case is designed to illustrate that the proposed DT-SOMS can realize synchronized online intelligence in the configuration of resources and response to disturbances.

show abstract

Section: Cps and Cppsmentioning

confidence: 99%

Designing and modeling of self-organizing manufacturing system in a digital twin shop floor

Song

Zhang

Tang

et al. 2023

Int J Adv Manuf Technol

View full text Add to dashboard Cite

show abstract

“…In order to achieve energy efficiency at W Shen et al [15], the IoT upgrades its model output predicted a new centroid based routing technology. Thus, EECRP consists of three parts, the new bunch improvement theory that triggers the autonomical relation of adjacent junctions, the alternate course of action to adjust groups [16] and the centre position of the energy pile between all sensor nodes that transform the group head and the alternative mechanism to minimise the essential use of long-range correspondence. In order to assess the role of EECRP, in particular, the enduring prospects are presumed in the EECRP.…”

Section: Related Workmentioning

confidence: 99%

Energy Aware Clustering with Multihop Routing Algorithm for Wireless Sensor Networks

Daniel¹,

Balamurugan²,

Vijay³

et al. 2021

Intelligent Automation &Amp; Soft Computing

View full text Add to dashboard Cite

The Internet of Things (IoT) and the Wireless Sensor Network (WSN) concepts are currently combined to improve data transmission based on sensors in near future applications. Since IoT devices exist in WSN with built-in batteries, power efficiency is a challenge that must be resolved. Clustering and routing are effectively treated as methods for reducing the dissipation of energy and maximising WSN IoT support life. This paper presents the new Energy Aware Adaptive Fuzzy neuro clustering with the WSN assisted IoT algorithm EAANFC-MR. EAANFC-MR is proposed for two main stages, clustering and multihop routing on the basis of EAANFCs. For selecting CHs with Residual Energy (RE) and Distance and Node degrees the EAANFC based cluster technique is used. The QOB-FO algorithm, which is used as a Multihop Route Technique, is then used to select optimised roads to the destination. MATLAB is used to simulate the proposed EAANFC-MR model. The goodness of the EAANFC-MR model interspersed with various aspects was demonstrated through a series of experiments.

show abstract

“…One of the biggest challenges for IoT access is facing two risks namely, safety threats and privacy violations. To provide the solution to address these risks, the survey of advanced algorithms using genetic programming, fuzzy set theory was designed by Jong Hyuk Park and Neil Yuwen Yen [17]. A comprehensive review of multi-biometric fusion methods for accessing IoT services was investigated [18].…”

Section: Related Workmentioning

confidence: 99%

Histogram of Neighborhood Tripartite Authentication with Fingerprint-based Biometrics for IoT Services

Kanchana¹

2019

IJCNC

View full text Add to dashboard Cite

Internet of Things (IoT) and services is an interesting topic with a wide range of potential applications like smart home systems, health care, telemedicine, and intelligent transportation. Traditionally, key agreement schemes have been evaluated to access IoT services which are highly susceptible to security. Recently, Biometric-based authentication is also used to access IoT services and devices. They are involving a larger amount of memory with increased running time and found to be computationally infeasible. To provide robust authentication for IoT services, Histogram of Neighborhood Tripartite Authentication with Fingerprint Biometrics (HNTA-FB) for IoT services is proposed in this paper. This proposed HNTA-FB method uses binary patterns and a histogram of features to extract the region of interest. To reduce the memory requirements while providing access to IoT services, Histogram of Neighborhood Binary Pattern Pre-processing (HNBPP) model is proposed. The discriminative power of Neighbourhood Binary Pattern Registration (NBPR) is integrated with the normalized sparse representation based on the histogram. Additionally, this work presents a new Tripartite User Authentication model for fingerprint biometric template matching process. When compared with different state-of-the-art methods, the proposed method depicts significantly improved performance in terms of matching accuracy, computational overhead and execution speed and is highly effective in delivering smart home services.

show abstract

Advanced algorithms and applications based on IoT for the smart devices

Cited by 17 publications

References 16 publications

Designing and modeling of self-organizing manufacturing system in a digital twin shop floor

Designing and modeling of self-organizing manufacturing system in a digital twin shop floor

Energy Aware Clustering with Multihop Routing Algorithm for Wireless Sensor Networks

Histogram of Neighborhood Tripartite Authentication with Fingerprint-based Biometrics for IoT Services

Contact Info

Product

Resources

About