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Investigating the progress of Smart Grid Technologies in the Kingdom of Saudi Arabia: Emerging Trends and Challenges 6

Investigating the Progress of Smart Grid Technologies in the...

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6th international conference on Contemporary computing and informatics, IC3I 2023

作者： Alghassab, Mohammed College of Engineering Electrical Engineering Department Shaqra University Riyadh Saudi Arabia

ISBN: (纸本)9798350304480

Modernization, improved living standards, as well as technological developments have all led to a rise in energy consumption. This led to a rise in power consumption that, if unchecked, could become out of control. This is a critical problem for the worldwide conservation and protection of the ecosystem as well as for the availability of sustainable power. Over the past several decades, the Kingdom of Saudi Arabia (KSA) has steadily increased its electricity demand. The private, commercial, as well as manufacturing sectors increased consumption is driving the Saudi electricity industry's rapid growth. The Kingdom's recent domestic energy consumption patterns have unavoidable serious repercussions that have an impact on both production as well as trade stages. Therefore, quick action is required to reduce the nation's rising energy needs and encourage energy conservation. The dynamic smart grid can close the shortfall in Saudi Arabia between the country's current supply and rising demand. In order to attain long-term advancement and consistent electricity supply, Saudi Arabia is focusing on its Vision 2030 strategic approach. Recognizing the development of Saudi Arabia's smart grid technology adoption is determined by the consequences of this investigation. This paper succinctly explains the KSA's planned grid system transformation under the 2030 strategic plan. Also discussed benefits and obstacles, such as the transmission and distribution market, the requirement for new legitimate agreements on the purchase and sale of power, and the presence of a generation monopolisation, as well as significant capital expenditures, which are unavoidable. In the Kingdom, the benefits of implementing a smart grid outweigh the potential difficulties. © 2023 ieee.

关键词： Energy Management Renewable Energy Smart Grid Technological Benefits Vision 2030

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ieee PIC 2024 Keynote Speech (1)

IEEE PIC 2024 Keynote Speech (1)

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Symposium of Image, Signal Processing, and Artificial Vision (STSIVA)

ieee PIC 2024 Keynote Speech (1).

ISBN: (数字)9798350363203

ISBN: (纸本)9798350363210

ieee PIC 2024 Keynote Speech (1).

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Unleashing the Potential of Blockchain and Internet of Things (IoT) Convergence: A Comprehensive Study 20

Unleashing the Potential of Blockchain and Internet of Thing...

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20th ieee international Colloquium on Signal Processing and Its Applications, CSPA 2024

作者： Kadir, Khairunnisa A. Wahab, Nur Haliza Abdul Hartomom, Kristoko Dwi Harun, Siti Zaleha College Of Computing Informatics And Mathematics Pahang Branch Raub Campus Pahang Raub27600 Malaysia Universiti Teknologi Malaysia Faculty Of Computing Johor Skudai Malaysia Satya Wacana Christian University Faculty Of Technology Information Salatiga Indonesia

ISBN: (纸本)9798350382310

This comprehensive review explores the synergistic intersection of blockchain technology and the Internet of Things (IoT), revealing how the fusion of these two innovative technologies is revolutionizing both network security and applications. As the IoT ecosystem expands and becomes increasingly complex, the necessity for robust and efficient security measures escalates. Herein, we elucidate how Blockchain technology, renowned for its secure, decentralized nature, can play an instrumental role in safeguarding IoT devices and networks from potential threats and breaches. We conduct an in-depth exploration of the various Blockchain-enabled IoT applications, shedding light on examples that span numerous sectors such as healthcare, supply chain, smart homes, and more. These practical implementations exemplify the enhanced security, transparency, and improved efficiency that Blockchain can introduce to the IoT landscape. This review also identifies and discusses challenges faced when integrating Blockchain with IoT, such as scalability issues and energy consumption, providing suggestions for future research and developments in this area. As the digital age advances, the fusion of Blockchain and IoT holds immense potential not only to fortify security but also to redefine conventional application models. Our analysis presents a clear trajectory of progress and innovation, offering researchers, practitioners, and stakeholder's valuable insights into the future of Blockchain-enabled IoT. © 2024 ieee.

关键词： Blockchain

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Evaluation of cloud simulators for energy-related applications

Evaluation of cloud simulators for energy-related applicatio...

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2023 international conference on Innovation and Intelligence for informatics, computing, and Technologies, 3ICT 2023

作者： Martone, Vincenzo Emanuele Mastroianni, Michele Palmieri, Francesco Universitá Degli Studi di Salerno Dipartimento di Informatica Fisciano Italy

ISBN: (纸本)9798350307771

Simulation tools play a critical role in various domains of cloud computing. They offer researchers and infrastructure designers a virtual environment to work in, eliminating the expenses associated with physical infrastructure, so those platforms could offer determinant support to analyze the performance of cloud systems and the related data centers. For those reasons, many cloud simulators have been developed. They are currently used by academics and practitioners, but only a few of these provide useful features in order to perform effective simulations of cloud systems for energy-related issues. The goal of this work is to help academics and professionals interested in energy-aware simulations of cloud systems to select the most suitable simulation platform for their purposes. The first part of this paper reviews the five simulators that hold the most promising features regarding energy issues. Subsequently, an evaluation metric has been introduced, based on five qualitative indexes: Last update, Popularity, Availability, Granularity, and Performance profile. The evaluation aims to provide researchers with suggestions for the best simulator choice. © 2023 ieee.

关键词： Cloud computing

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A Reward Modulated Spiked Timing Depended Plasticity inspired algorithm applied on a MultiLayer Perceptron 27

A Reward Modulated Spiked Timing Depended Plasticity inspire...

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27th Pan-Hellenic conference on progress in computing and informatics with international Participation, PCI 2023

作者： Giannakas, Georgios Sapounaki, Maria Tsoukas, Vasileios Kakarountas, Athanasios Dpt. of Computer Science and Biomedical Informatics University of Thessaly Lamia Greece

ISBN: (纸本)9798400716263

The creation of a framework in which traditional Machine Learning and neuromorphic algorithms compete to solve a shared Reinforcement Learning environment is presented in this work. In addition, this configuration allows the exploitation of modern and widely-used Machine Learning libraries. The PyTorch framework is used to investigate the expanded capabilities and potential of training an action-critic network pair comprised of specialised units using a custom learning algorithm. The policy and value networks utilised in this context are fully interconnected MultiLayer Perceptrons. The training procedure employs two distinct algorithms: an algorithm inspired by Reward Modulated Spiked Timing Dependent Plasticity and the conventional Back Propagation technique. A comparative evaluation and analysis of the findings is performed. © 2023 Owner/Author.

关键词： Reinforcement learning

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Implementing a Modular Integrated System for Biodiversity Conservation and Promotion Using Web Technologies 27

Implementing a Modular Integrated System for Biodiversity Co...

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27th Pan-Hellenic conference on progress in computing and informatics with international Participation, PCI 2023

作者： Voutos, Yorghos Palamas, Stergios Mylonas, Phivos Department of Informatics and Computer Engineering University of West Attica Greece Department of Informatics Ionian University Greece

ISBN: (纸本)9798400716263

In the context of promoting environmental wealth to visitors, this paper explores the development of a web platform, widening the visibility of local biodiversity and aiding in its preservation. We introduce a modular web platform, constructed from interconnected front-end and back-end modules and built upon open-source technologies. In the past, delivering captivating, media-rich user experiences, called for specific hardware and proprietary development tools. This study highlights how the latest in web technology, combined with contemporary web browsers (such as those supporting the WebGL standard), now allows for the rollout of these advanced services on everyday mobile devices using widely accepted web technologies like HTML, CSS, and JavaScript. The immersive qualities of multimedia and cutting-edge AR/VR technologies have enhanced the magic of natural sites and the attractiveness of points of interest. Under this notion, we've worked on a thorough investigation of how these paradigm-shifting discoveries might be used to make a virtual retreat for enthusiasts of ecology. The proposed platform's focus on the protection and promotion of biodiversity is the basis of not only improving the user experience but it also emerges as a tool for the preservation of the Ionian Islands' natural marvels as we delve into its architecture and capabilities. © 2023 Owner/Author.

关键词： Biodiversity

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A Review of Homomorphic Encryption and its Contribution to the Sector of Health Services 27

A Review of Homomorphic Encryption and its Contribution to t...

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27th Pan-Hellenic conference on progress in computing and informatics with international Participation, PCI 2023

作者： Roumpies, Fotios Kakarountas, Athanasios Dpt. of Computer Science and Biomedical Informatics University of Thessaly Lamia Greece

ISBN: (纸本)9798400716263

Homomorphic encryption is a groundbreaking cryptographic method that has made giant contributions to healthcare by addressing the urgent need for steady and privacy-keeping information analysis and sharing. This encryption approach permits information to be processed while nonetheless in its encrypted form, permitting healthcare businesses to perform complex computations on confidential patient information without compromising character privacy or data protection. It paved the way for secure cloud-based facts storage, sharing, and collaborative healthcare research, facilitating advancements in fact-driven selection-making, customized medicinal drugs, and remote affected person tracking. Homomorphic encryption has emerged as a vital enabler of innovation by maintaining the confidentiality of affected personal information while enabling meaningful analysis. © 2023 Owner/Author.

关键词： Data privacy

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Interactive Multimodal Learning: Towards Using Pedagogical Agents for Inclusive Education

Interactive Multimodal Learning: Towards Using Pedagogical A...

引用

2023 ieee international Humanitarian Technology conference, IHTC 2023

作者： Al Omoush, Muhammad H. Salih, Sumaia E. Kishore, Sameer Mehigan, Tracey Dublin City University Faculty of Engineering and Computing Dublin Ireland Dublin Ireland Middlesex University Department of Computer Engineering and Informatics Dubai United Arab Emirates

ISBN: (纸本)9798350314311

A pedagogical agent is an animated interface in an interactive online learning environment. Its role involves guiding users through instructions and participating in direct discussions. Numerous research studies underline the advantages of pedagogical agents in delivering instruction, tailoring learning experiences, and promoting inclusivity. The authors utilize machine learning techniques to develop an interactive multimodal application (combining visuals and audio) designed as a pedagogical agent. This application is intended to assist in teaching primary school students (aged 6 to 8) the recognition of colors and letters. Additionally, it incorporates voice interaction to assess their learning progress. The overarching objective of this pedagogical agent is to seamlessly integrate artificial intelligence (AI) into educational settings, thereby amplifying student engagement and motivation during the learning process. This paper will explore the journey of creating a machine learning-based application and its potential utility in supporting educators. Furthermore, the authors will investigate potential augmentations that could render the application more adept at aiding students with dyslexia. The paper will emphasize the significance of human-computer interaction (HCI), as it significantly shapes pedagogical agents' design and operational aspects. © 2023 ieee.

关键词： Graphical user interfaces

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Introducing Task-Adaptive Loss to Multitask Learning for Electronic Healthcare Prediction 11

Introducing Task-Adaptive Loss to Multitask Learning for Ele...

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11th ieee international conference on Healthcare informatics, ICHI 2023

作者： Tsien, Edward Wu, Dezhi Tong, Yan Lopez-De Fede, Ana Gareau, Sarah University of South Carolina College of Engineering and Computing ColumbiaSC United States University of South Carolina Institute for Families in Society ColumbiaSC United States

ISBN: (纸本)9798350302639

Multi-Task Learning (MTL) is a machine learning paradigm that allows for a model to simultaneously train and predict multiple related tasks/targets using a shared core network and task-specific branching layers. The related nature of the tasks can be exploited to regularize the model and has been shown to increase performance in all tasks. Medical healthcare records (MHRs) taken on events such as pregnancy often track multiple related targets such as maternal morbidity factors and long-term health outcomes which serve as an excellent testbed for MTL models. Imbalance in tasks leads to MTL models being dominated by a few tasks as well as struggling to progress during training due to conflicting loss function parameters, resulting in generalized but unspecific models. This study introduces Task-Adaptive Loss weighting, a novel method to address imbalanced tasks and conflicting loss and demonstrates iton a prenatal MHR dataset to create a prediction tool for adverse maternal outcomes. © 2023 ieee.

关键词： Deep learning

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Generating Monotone Boolean Functions Using Hasse Diagram 12

Generating Monotone Boolean Functions Using Hasse Diagram

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12th ieee international conference on Intelligent Data Acquisition and Advanced computing Systems: Technology and Applications, IDAACS 2023

作者： Mrena, Michal Kvassay, Miroslav University of Zilina Faculty of Management Science and Informatics Zilina Slovakia

ISBN: (纸本)9798350358056

Boolean functions play an important role in numerous research areas. One of the areas is reliability analysis where researchers frequently use Boolean functions to describe the relation of a system state to the state of its components. The functions they encounter are often monotone, due to the properties of the systems. Design, verification, and testing of reliability analysis algorithms often involve an examination of numerous functions. Therefore, in this paper, we describe an algorithm that generates all monotone Boolean functions of n variables utilizing relations defined by a Hasse diagram. Furthermore, we describe a way to experimentally verify the correctness of the implementation of such an algorithm - and similar algorithms - by using logic differential calculus and binary decision diagrams. © 2023 ieee.

关键词： coherent system dynamic programming Hasse diagram monotone Boolean function

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