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CFA-OpenRAN: An Integrated Communication, computing, and Control Architecture for Wireless Cloud Fog Automation Based on O-RAN 22

CFA-OpenRAN: An Integrated Communication, Computing, and Con...

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22nd ieee international conference on Industrial informatics, INDIN 2024

作者： Liu, Yijia Pang, Zhibo Ding, Yuemin Tecnun School of Engineering University of Navarra San Sebastián20018 Spain ABB Corporate Research & KTH Royal Institue of Technology Västerås Sweden ABB Corporate Research & KTH Royal Institue of Technology Stockholm Sweden

ISBN: (纸本)9798331527471

Industrial automation systems are pivotal in enhancing the digitization and intelligence of the industrial sector. In recent years, wireless communication technologies (such as B5G/6G) and Cloud Fog Automation (CFA) have revolutionized the industrial sector, providing unparalleled flexibility and scalability. However, the prevailing CFA architecture predominantly concentrates on network and system levels, often neglecting the optimization of the physical layer communication process. To achieve the optimal system-level performance of wireless CFA, this study introduces CFA-OpenRAN, an integrated architecture encompassing communication, computing, and control. By leveraging the open design, standardized interfaces, and software-defined paradigm of O-RAN, CFA-OpenRAN facilitates cross-domain optimization of communication, computing, and industrial control in wireless CFA. In the end, an application scenario of joint resource allocation and the corresponding experiment setup was developed. © 2024 ieee.

关键词： Resource allocation

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Improve the efficiency of network traffic in IoT using dimensionality reduction 6

Improve the efficiency of network traffic in IoT using dimen...

引用

6th international conference on computing and informatics, ICCI 2024

作者： Mohamed, Ibrahim Ali Wassif, Khaled Bayomi, Hanaa Department of Computer Science Faculty of Computers and Artificial Intelligence Cairo University Cairo Egypt

ISBN: (纸本)9798350373875

IoT has changed our lives through the increased convenience of automating mundane tasks, enhancing home security systems, wearable devices to improve health and wellness, and improved connectivity. Vast volumes of data, such as images, are generated and then transmitted to the cloud server for processing or storage. This leads to an increase in latency and network traffic. To address these challenges, the concept of edge computing has been introduced as a computing paradigm that moves processing closer to the point of data generation. This paper includes the merging of cloud and edge computing in the realm of IoT. It explores techniques that utilize machine learning, employing the autoencoder-based deep learning method and principal component analysis, to perform image dimensionality reduction at the edge. Subsequently, the encoded data is transmitted to the cloud server, where it can be directly utilized for various machine learning tasks without significantly impacting the accuracy of the processed data in the cloud. The suggested approach has been assessed on an image classification task using a set of 20,580 images from the ILSVRC dataset. The results indicate that a 61% reduction in data did not significantly affect the accuracy of the image classification task. © 2024 ieee.

关键词： Edge computing

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A Framework for Democratizing Open-Source Decision-Making using Decentralized Autonomous Organization 6

A Framework for Democratizing Open-Source Decision-Making us...

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6th international conference on computing and informatics, ICCI 2024

作者： Afifi, Khalifa H. Fouad, Khaled M. Asian, Heba K. Faculty of Information Technology and Computer Science Nile University Cairo Egypt Faculty of Computers and Artificial Intelligence Benha University Egypt Faculty of Computers and Engineering New Mansoura University Egypt Cairo Egypt Center of Informatics Science Faculty of Information Technology and Computer Science Nile University Cairo Egypt

ISBN: (纸本)9798350373875

The open Source Software (OSS) became the backbone of the most heavily used technologies, including operating systems, cloud computing, AI, Blockchain, Bigdata Systems, IoT, and many more. Although the OSS individual contributors are the primary power for developing the OSS projects, they do not contribute to the OSS project's decisionmaking as much as their contributions in the OSS Projects development. This paper proposes a framework to democratize the OSS Project's decision-making using a blockchain-related technology called Decentralized Autonomous Organization (DAO). Using DAO, contributors get incentive tokens as a reward in return for contributions. The earned tokens can be used in the process of decision-making governance. This governance model tends to allow OSS individual contributors to have a public voice in the OSS project's development roadmap in particular, and the OSS decision making governance in general. © 2024 ieee.

关键词： Open source software

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Building Human Digital Twins: Cases for Intelligence and Security informatics 20

Building Human Digital Twins: Cases for Intelligence and Sec...

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20th ieee international conference on Intelligence and Security informatics, ISI 2023

作者： Chung, Wingyan The University of Texas at Tyler Soules College of Business Department of Computer Science TylerTX75799 United States

ISBN: (纸本)9798350337730

Digital Twin technologies promise to transform business operations, enhance modeling capabilities, and improve safety and security. Human Digital Twins (HDTs) are physical representations and virtual models of humans to accurately track human motion, perception, and activities, but their application to ISI is still limited. This paper provides a review of developments in DTs and presents two cases of building and applying HDTs to social cybersecurity, intelligence monitoring and surveillance, and security informatics. Study findings, ongoing works, and future directions are discussed. © 2023 ieee.

关键词： Cybersecurity

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Comparative Study of Cryptographic Algorithms in Post Quantum computing Landscape 5

Comparative Study of Cryptographic Algorithms in Post Quantu...

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5th international conference on Data Intelligence and Cognitive informatics, ICDICI 2024

作者： Sahoo, Anshuman Indira Kumar, A.K. Rajagopal, Shinu M. Amrita Vishwa Vidyapeetham Amrita School of Computing Dept. of Computer Science and Engineering Bengaluru India

ISBN: (纸本)9798350389609

As the advent of quantum computing looms, the cryptographic landscape faces unprecedented challenges that could render traditional algorithms like AES, RSA, and ECC vulnerable. This paper delves into a comparative study of these classical cryptographic algorithms, examining their foundational principles and evaluating their resilience against quantum computing threats, particularly Shor's and Grover's algorithms. Through a combination of theoretical analysis and practical simulations, we assess the potential weaknesses and strengths of AES, RSA, and ECC in the post-quantum era. The study highlights the need for quantum-resistant cryptographic methods and explores how current algorithms can be adapted or replaced to withstand the sophisticated computational capabilities of quantum computers. By bridging the gap between classical and quantum cryptography, this research offers crucial insights into the future of secure digital communication, underscoring the urgency for innovation in cryptographic practices to safeguard data in an increasingly quantum-dominated world. © 2024 ieee.

关键词： Encryption algorithms

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A Building Information Modeling (BIM)-Enabled Robotic System for Automated Indoor Construction progress Monitoring

A Building Information Modeling (BIM)-Enabled Robotic System...

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2024 ieee international conference on Real-Time computing and Robotics, RCAR 2024

作者： Zhao, Xinge Cheah, Chien Chern Nanyang Technological University School of Electrical and Electronic Engineering Singapore639798 Singapore

ISBN: (纸本)9798350372601

Building Information Modeling (BIM) has emerged as a pivotal technology for integrating building and construction data within a single project framework. Although BIM data is employed for specific tasks like robot navigation, its full potential in robotics, especially in construction automation, remains scarce. This paper introduces a comprehensive BIM-enabled robotic system designed for monitoring indoor construction progress. A framework is proposed to retrieve and process BIM data, enabling the integration of BIM into robotic systems in every stage of progress monitoring. The proposed end-to-end system includes BIM-based robot initialization using real-time object detection, BIM-based navigation waypoints design, data acquisition and processing. Additionally, a BIM updating module is developed to enable the visualization of inspection outcomes by the robot. The efficacy of the proposed BIM-enabled robotic system is demonstrated through tests in both laboratory settings and a real-world construction site. © 2024 ieee.

关键词： Robots

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From Quantum Software Handcrafting to Quantum Software Engineering

From Quantum Software Handcrafting to Quantum Software Engin...

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ieee international conference on Software Analysis, Evolution and Reengineering - Companion (SANER-C)

作者： Bisicchia, Giuseppe Garcia-Alonso, Jose Murillo, Juan M. Brogi, Antonio Univ Pisa Dept Comp Sci Pisa Italy Univ Extremadura Quercus Software Engn Grp Caceres Spain

ISBN: (纸本)9798350351583;9798350351576

Quantum computing holds the potential to change our world. Following the quantum wave, software engineers have recognised the opportunity to establish a new discipline of Quantum Software Engineering. Despite the significant progress achieved, Quantum computing's widespread adoption still faces critical hurdles. In this paper, we outline two of these challenges. (1) Quantum programming continues to be a complex art mastered by a select few experts. We suggest that the primary culprit can be pinpointed in the absence of high-level quantum software abstractions which forces developers to work with low-level quantum concepts and reason in terms of matrix multiplications. (2) The scarce collaboration among quantum software engineers resulted in a lack of platform and software interoperability. While a diversity of research proposals fuels scientific progress, it can hinder the development and adoption of innovative technologies, potentially fragmenting the collective efforts and confining them within isolated research groups. We believe that overcoming these issues is crucial for fostering innovation, advancing Quantum Software Engineering, and Quantum computing as a whole.

关键词： Quantum computing Software Engineering Quantum Software Engineering Quantum Abstractions

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A QoS-Aware Energy Optimization Framework for Mobile Devices Using DRL and Edge computing 4

A QoS-Aware Energy Optimization Framework for Mobile Devices...

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4th ieee international conference on ICT in Business Industry and Government, ICTBIG 2024

作者： Mokgethi, Chandapiwa Sigwele, Tshiamo Selvaraj, Rajalakshmi Department of Computing and Informatics Palapye Botswana

ISBN: (纸本)9798331518981

The proliferation of computationally intensive mobile applications like Augmented Reality (AR), Speech Recognition, and Mobile Gaming has led to an alarming rise in mobile energy consumption, raising the need for frequent recharging of mobile devices. This frequent recharging leads to degradation of mobile device's battery health resulting in reduced battery capacity, shorter usage cycles, and ultimately increased costs associated with battery replacements. The current mobile energy optimization frameworks are unable to effectively handle the dynamic and realtime nature of mobile environments with unpredictable variables. This research proposes a Deep Reinforcement Learning (DRL) model to optimize energy efficiency in mobile devices using Mobile Edge computing (MEC) to handle varying workloads and dynamic environment while maintaining Quality of Service (QoS) where computationally intensive applications are optimally offloaded to edge cloud servers. The result shows that the proposed outperforms current works by reducing energy consumption and average latency by 27.5% and 35% respectively. © 2024 ieee.

关键词： Mobile edge computing

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Towards Multi-Functional ECG Smart System Based on a Client-Edge-Cloud Architecture

Towards Multi-Functional ECG Smart System Based on a Client-...

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ieee-EMBS international conference on Biomedical and Health informatics (BHI)

作者： Nath, Rajdeep Kumar Tervonen, Jaakko Navainen, Johanna Pettersson, Kati Mantyjarvi, Jani VTT Kuopio Kuopio Finland VTT Espoo Espoo Finland VTT Oulu Oulu Finland

ISBN: (纸本)9798350310504

This paper presents a novel client-edge-cloud-based framework that integrates the learning of task-invariant ECG feature representations from ultra-short ECG segments (<10 sec) and subsequent training of task-specific machine learning (ML) classifiers for different applications. Our proposed framework removes the need for application-specific ECG processing by training a general ECG representation learner in a self-supervised manner. The ECG representation learner is then used for generating feature inputs for the different task-specific applications. The proposed framework distributes the computation across cloud, edge, and client components depending on the resource requirement and time criticality. We demonstrate the feasibility and promise of the proposed approach on two different applications, that is, acute stress type classification, and biometric user identification and authentication. The use cases were analyzed using the computational parameters for the different models and computational tasks along with the overall performance. Our analyses show that the application-specific ML models can perform real-time inference in less than a second and the training time of the ML classifiers at the edge devices are in the order of 10-20 seconds. In the future, the proposed framework can be utilized for developing reliable, secure, and multi-functional ECG-based smart systems.

关键词： Acute stress Electrocardiogram (ECG) Contrastive Learning Smart Healthcare Biometrics convolutional neural network (CNN) Client-Edge-Cloud Wearable computing

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Challenges of Application Programming Interfaces Security: A Conceptual Model in the Changing Cyber Defense Environment and Zero Trust Architecture 17

Challenges of Application Programming Interfaces Security: A...

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17th ieee international Scientific conference on informatics, informatics 2024

作者： Steingartner, William Galinec, Darko Zebic, Vinko Technical University of Košice Faculty of Electrical Engineering and Informatics Košice Slovakia Zagreb University of Applied Sciences Department of Informatics and Computing Zagreb Croatia Croatian Armed Forces Ministry of Defence Croatian Military Academy "Dr. Franjo Tuđman" Zagreb Croatia

ISBN: (纸本)9798350387674

Application programming interfaces (APIs) for connecting applications are the most important for interoperability between disparate information systems today. It allows that the application that offers such an interface does not allow direct access to the server and all data, but each interface provides only the corresponding necessary data. The efficiency and speed of APIs enable information systems to retrieve formatted data that can be sequentially processed and used. In this paper API security will be discussed as a challenge today. The integration of today's applications takes place in the conditions of a changing environment of information systems and growing threats of cyber defense and security. The new approach to security was created, which is reflected through the principles of Zero Trust Architecture (ZTA). To enable a comprehensive overview of API security challenges, in this work, the authors designed and presented a new extensive conceptual non-hierarchical model of API cyber defense. In addition to known cybersecurity threats, it takes into account the threats inherent in non-compliance with the principles of ZTA which is also known as Zero Trust Security Model, or Zero Trust Network Access (ZTNA). The designed model covers, amongst others, the intersection between the strategy of secure API construction and Zero Trust Architecture. © 2024 ieee.

关键词： Cyber attacks

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