Modelling of Remote Area Broadband Technology Over Low Voltage Power Line Channel

Altrad, Abdallah Mahmoud Mousa

doi:10.5121/ijcnc.2012.4512

IJCNC

2012

DOI: 10.5121/ijcnc.2012.4512

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Modelling of Remote Area Broadband Technology Over Low Voltage Power Line Channel

Abdallah Mahmoud Mousa Altrad¹

Abstract: Several broadband development initiatives have been proposed in Malaysia in order to Bridging Digital Divide (BDD)

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Cited by 3 publications

References 14 publications

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A survey on the architecture, application, and security of software defined networking: Challenges and open issues

et al. 2020

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Software Defined Networking (SDN) is a new technology that makes computer networks farther programmable. SDN is currently attracting significant consideration from both academia and industry. SDN is simplifying organisations to implement applications and assist flexible delivery, offering the capability of scaling network resources in lockstep with application and data. This technology allows the user to manage the network easily by permitting the user to control the applications and operating system. SDN not only introduces new ways of interaction within network devices, but it also gives more flexibility for the existing and future networking designs and operations. SDN is an innovative approach to design, implement, and manage networks that separate the network control (control plane) and the forwarding process (data plane) for a better user experience. The main differentiation between SDN and Traditional Networking is that SDN removes the decision-making part from the routers and it provides, logically, a centralised Control-Plane that creates a network view for the control and management applications. Through the establishment of SDN, many new network capabilities and services have been enabled, such as Software Engineering, Traffic Engineering, Network Virtualisation and Automation, and Orchestration for Cloud Applications. This paper surveys the state-of-the-art contribution such as a comparison between SDN and traditional networking. Also, comparison with other survey works on SDN, new information about controller, details about OpenFlow architecture, configuration, comprehensive contribution about SDN security threat and countermeasures, SDN applications, benefit of SDN, and Emulation & Tested for SDN. In addition, some existing and representative SDN tools from both industry and academia are explained. Moreover, future direction of SDN security solutions is discussed in detail.

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A survey on the architecture, application, and security of software defined networking: Challenges and open issues

et al. 2020

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Survey on geographic visual display techniques in epidemiology: Taxonomy and characterization

Wei

Ibrahim

Nisar

et al. 2020

Journal of Industrial Information Integration

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Stator Winding Fault Detection and Classification in Three-Phase Induction Motor

Hussain¹,

Soother²,

Kalwar³

et al. 2021

IASC

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Induction motors (IMs) are the workhorse of the industry and are subjected to a harsh environment. Due to their operating conditions, they are exposed to different kinds of unavoidable faults that lead to unscheduled downtimes and losses. These faults may be detected early through predictive maintenance (i.e., deployment of condition monitoring systems). Motor current signature analysis (MCSA) is the most widely used technique to detect various faults in industrial motors. The stator winding faults (SWF) are one of the major faults. In this paper, we present an induction motor fault detection and identification system using signal processing techniques such as fast Fourier transform (FFT), short-time Fourier transform (STFT), and continuous wavelet transform (CWT). A three-phase motor model is developed in MATLAB Simulink and simulated under various fault conditions. The current signature is observed using FFT, spectrogram, and scalogram to detect the faults. It is observed that under some fault conditions, the current signature analysis remains indistinguishable from the non-fault case. Therefore, deep learning (DL) methods are adopted here to identify these faults. The time-series data of healthy and unhealthy conditions are obtained from the simulation results. The comparative investigation among DL models confirmed the superiority of the long short-term memory (LSTM) model, which achieved 97.87% accuracy in identifying the individual faults.

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Modelling of Remote Area Broadband Technology Over Low Voltage Power Line Channel

Abstract: Several broadband development initiatives have been proposed in Malaysia in order to Bridging Digital Divide (BDD)

Cited by 3 publications

References 14 publications

A survey on the architecture, application, and security of software defined networking: Challenges and open issues

A survey on the architecture, application, and security of software defined networking: Challenges and open issues

Survey on geographic visual display techniques in epidemiology: Taxonomy and characterization

Stator Winding Fault Detection and Classification in Three-Phase Induction Motor

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