Research on fault adaptive fault tolerant control of distributed wind solar hybrid generator

Niu, Yitong; Sayed, Intisar A.M. Al; Ali, Alya'a R.; Al_Barazanchi, Israa; JosephNg, P. S.; Jaaz, Zahraa A.; Gheni, Hassan Muwafaq

doi:10.11591/eei.v12i2.4242

Cited by 6 publications

(5 citation statements)

References 32 publications

(37 reference statements)

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“…The following equations have been constructed using the Laplace transform: System reliability R(t) is typically defined as the probability that a logic circuit operate without going to failure during the period [0, t]. In addition, reliability is considered as an evaluation metric for measuring that the predicted service is reached to customer [23] and [24]. In (4) represents reliability and how it is calculated.…”

Section: Resultsmentioning

confidence: 99%

Design and analysis of fault-tolerant sequential logic circuits for safety-critical applications

Khairullah,

Qassabbashi,

Kareem

2024

Bulletin EEI

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Safety-critical systems used in applications that demand high levels of dependability, efficiency, and fault-tolerance often use sequential logic circuits in its design and implementation. The safety-critical digital system typically uses latches, flip-flops, and other memory elements, which are prone to the effects of natural faults and single event upsets (SEUs) caused by radiation-induced effects. The faults can lead to subsystem failures due to the continuous advancement in the realization of the small size transistor. To design a reliable digital-based system, it is essential to develop new fault-tolerance approaches that are integrated into the design of sequential logic circuits. This work proposes a novel fault-tolerant approach based on the redundancy of sequential logic circuit, which consists of a variety of design components, D flip-flop storage elements linked to a fault injection unit, a duplicate modular redundancy, and data monitoring units with a switching circuit. The experimental simulation results using a five-state Markov chain analysis model prove that the proposed fault-tolerant system can achieve 0.99999998 for reliability of the fault detection coverage (C) which equal to 0.99999. Finally, we believe that using this new approach of fault-tolerance and redundancy would improve the dependability and reliability of next generation safety-critical applications.

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Section: Resultsmentioning

confidence: 99%

Design and analysis of fault-tolerant sequential logic circuits for safety-critical applications

Khairullah,

Qassabbashi,

Kareem

2024

Bulletin EEI

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“…While this outcome is suitable for generic pictures like images, it is less ideal if we desire a backdrop with a stark comparison. Figure 3 shows the procedure of histogram equalization [24,25].…”

Section: Data Preprocessing Using Histogram Equalizationmentioning

confidence: 99%

Evaluating the Impact of Emotions and Awareness on User Experience in Virtual Learning Environments for Sustainable Development Education

Ibrahim,

Al Sayed,

Jabbar

et al. 2024

ISI

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This study aims to evaluate the impact of emotions and awareness on user experience in Virtual Learning Environments (VLEs). VLEs have become increasingly popular in educational settings, but they have limitations that can negatively affect the learning experience. To address this issue, a novel Fuzzy-based Convolutional Neural Network (FCNN) is proposed for effective emotion evaluation. The study utilizes questionnaire surveys to collect data on awareness of the VLE. The performance of the FCNN method is evaluated based on accuracy, sensitivity, specificity, and precision. The study acknowledges the limitations of VLEs but does not specify them. The sample size and participant details are not mentioned in the abstract. Overall, this study provides insights into the role of emotions and awareness in enhancing the user experience of VLEs.

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“…In a wide range of ways, IoT technology keeps on improving user satisfaction. To address the crucial problems of available resources, power use, and protection, organizations often make use of integrated smart devices and infrastructure [5]. Due to the challenges in existing approaches, we developed a dynamic-progressive deep reinforcement learning (DPDRL).…”

Section: Introductionmentioning

confidence: 99%

Enhancing quality of service in IoT through deep learning techniques

Salman¹,

Abdulshaheed²,

Jabbar³

et al. 2023

PEN

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When evaluating an Internet of Things (IoT) platform, it is crucial to consider the quality of service (QoS) as a key criterion. With critical devices relying on IoT technology for both personal and business use, ensuring its security is paramount. However, the vast amount of data generated by IoT devices makes it challenging to manage QoS using conventional techniques, particularly when attempting to extract valuable characteristics from the data. To address this issue, we propose a dynamic-progressive deep reinforcement learning (DPDRL) technique to enhance QoS in IoT. Our approach involves collecting and preprocessing data samples before storing them in the IoT cloud and monitoring user access. We evaluate our framework using metrics such as packet loss, throughput, processing delay, and overall system data rate. Our results show that our developed framework achieved a maximum throughput of 94%, indicating its effectiveness in improving QoS. We believe that our deep learning optimization approach can be further utilized in the future to enhance QoS in IoT platforms.

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Research on fault adaptive fault tolerant control of distributed wind solar hybrid generator

Cited by 6 publications

References 32 publications

Design and analysis of fault-tolerant sequential logic circuits for safety-critical applications

Design and analysis of fault-tolerant sequential logic circuits for safety-critical applications

Evaluating the Impact of Emotions and Awareness on User Experience in Virtual Learning Environments for Sustainable Development Education

Enhancing quality of service in IoT through deep learning techniques

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