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Interworking between Modbus and internet of things platform for industrial services

Digital Communications and Networks 2024年第2期10卷 461-471页

作者： Sherzod Elamanov Hyeonseo Son Bob Flynn Seong Ki Yoo Naqqash Dilshad jaeseung song Department of Convergence Engineering for Intelligent Drone Sejong UniversitySouth Korea SyncTechno Inc South Korea Exacta Global Smart Solutions USA Coventry University UK

In the era of rapid development of Internet of Things(IoT),numerous machine-to-machine technologies have been applied to the industrial *** to the divergence of IoT solutions,the industry is faced with a need to apply various technologies for automation and *** fact leads to a demand for an establishing interworking mechanism which would allow smooth interoperability between heterogeneous *** of the major protocols widely used today in industrial electronic devices is ***,data generated by Modbus devices cannot be understood by IoT applications using different protocols,so it should be applied in a couple with an IoT service layer ***2M,a global IoT standard,can play the role of interconnecting various protocols,as it provides flexible tools suitable for building an interworking framework for industrial ***,in this paper,we propose an interworking architecture between devices working on the Modbus protocol and an IoT platform implemented based on oneM2M *** the proposed architecture,we introduce the way to model Modbus data as oneM2M resources,rules to map them to each other,procedures required to establish interoperable communication,and optimization methods for this *** analyze our solution and provide an evaluation by implementing it based on a solar power management use *** results demonstrate that our model is feasible and can be applied to real case scenarios.

关键词： Internet of things Interoperability Interworking Modbus oneM2M

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Efficient Deep Learning Framework for Fire Detection in Complex Surveillance Environment

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Computer Systems Science & Engineering 2023年第7期46卷 749-764页

作者： Naqqash Dilshad Taimoor Khan jaeseung song Department of Convergence Engineering for Intelligent Drone Seoul05006Korea Department of Computer Science Islamia College PeshawarPeshawar25120Pakistan

To prevent economic,social,and ecological damage,fire detection and management at an early stage are significant yet *** computationally complex networks have been developed,attention has been largely focused on improving accuracy,rather than focusing on real-time fire ***,in this study,the authors present an efficient fire detection framework termed E-FireNet for real-time detection in a complex surveillance *** proposed model architecture is inspired by the VGG16 network,with significant modifications including the entire removal of Block-5 and tweaking of the convolutional layers of *** results in higher performance with a reduced number of parameters and inference ***,smaller convolutional kernels are utilized,which are particularly designed to obtain the optimal details from input images,with numerous channels to assist in feature *** E-FireNet,three steps are involved:preprocessing of collected data,detection of fires using the proposed technique,and,if there is a fire,alarms are generated and transmitted to law enforcement,healthcare,and management ***,E-FireNet achieves 0.98 accuracy,1 precision,0.99 recall,and 0.99 F1-score.A comprehensive investigation of various Convolutional Neural Network(CNN)models is conducted using the newly created Fire Surveillance SV-Fire *** empirical results and comparison of numerous parameters establish that the proposed model shows convincing performance in terms of accuracy,model size,and execution time.

关键词： Deep learning drone embedded vision emergency monitoring fire classification fire detection IoT search and rescue

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Analysis of identifiers in IoT platforms

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Digital Communications and Networks 2020年第3期6卷 333-340页

作者： Haris Aftab Komal Gilani JiEun Lee Lewis Nkenyereye SeungMyeong Jeong jaeseung song Software Engineering and Security(SES)Lab Department of Computer and Information SecuritySejong UniversitySeoul05006Republic of Korea IoT Convergence Platform Lab Korea Electronics Technologies InstituteSungnam-Si13509Republic of Korea

The Internet of Things(IoT)provides new opportunities for different IoT platforms connecting various devices *** need to identify those devices is the foremost important to perform any kind of *** organizations and standard bodies that provide specifications and frameworks for the IoT currently have their own identification *** existing industrial identification mechanisms can also be used in the *** is no common Identification Scheme(IS)for the IoT as yet,because of the political and commercial differences amongst the standard *** unavailability of a unified IS method makes the inter-working among IoT platforms *** paper analyses and compares ISs used by several selected IoT *** work will help in understanding the need for a common identification mechanism to provide inter-working among different IoT platforms.

关键词： Internet of things Identifiers Identification schemes IoT platforms IoT standards

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