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2nd International Conference on Applied Technologies, ICAT 2020

作者： Lakhno, V. Malyukov, V. Kasatkin, D. Blozva, A. Zhyrova, T. Kotenko, N. Kotova, M. Department of Computer Systems and Networks National University of Life and Environmental Sciences of Ukraine Kyiv Ukraine Department of Software Engineering and Cybersecurity Kyiv National University of Trade and Economics Kyiv Ukraine

ISBN: (纸本)9783030715021

This article describes a new analytical model for the mathematical support of decisions during the project’s evaluation process. Smart City technology development projects are considered as an example of a subject area for investment. Unlike existing solutions, the new model considers the multifactorial nature of data sets. The consecutiveness of investors’ steps in implementing their financial strategies was also taken into account. The model is focused on subsequent software implementation in intelligent cross-platform decision support systems. The proposed approach allows evaluating the attractiveness for investors (players) of the analyzed projects. Also, unlike the solutions previously proposed by the authors, the model considers situations in which players control a dynamic system in multidimensional project spaces. The results presented in the article were obtained based on the solution of a bilinear multistep quality game with several terminal sets. The scientific novelty of the work lies in the fact that, unlike existing solutions, this article considers a new class of bilinear multi-step games, which allows one to correctly and adequately describe investment processes, given the multifactorial nature of the problem statement. Thus, a solution for investors can be obtained analytically. The results of a computational experiment that were obtained using the prototype of decision support systems (DSS) module were described. © 2021, Springer Nature Switzerland AG.

关键词： Decision support systems

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Characterisation of Thin Glass-Fibre Substrates for Deployable SAR Antennas

Characterisation of Thin Glass-Fibre Substrates for Deployab...

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European Conference on Antennas and Propagation, EuCAP

作者： Simone Mencarelli Annalisa Tresoldi Andrew C.M. Austin Michael J. Neve Guglielmo Aglietti Department of Electrical Computer and Software Engineering University of Auckland Auckland New Zealand Te Pūnaha Ātea-Auckland Space Institute University of Auckland Auckland New Zealand Communication Systems and Networks Group University of Bristol Bristol UK

This paper investigates the electrical characteristics of a thin glass-fibre membrane to be employed as a support and dielectric substrate for a new kind of deployable antenna mechan-ical structure designed for space-borne Synthetic Aperture Radar sensors on nano-satellite platforms. The approach outlined in this paper relies on cost-effective test fixtures built from material samples originally designed for mechanical testing. A simple Time Domain Reflectometry / Transmissometry (TDR/T) procedure enables the extraction of the material's complex permittivity.

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Technical Report: On the Convergence of Gossip Learning in the Presence of Node Inaccessibility

arXiv

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arXiv 2024年

作者： Liu, Tian Cui, Yue Hu, Xueyang Xu, Yecheng Liu, Bo Zhejiang Laboratory Hangzhou China Department of Computer Science and Computer Information Systems Auburn University at Montgomery Montgomery United States Department of Computer Science and Software Engineering Auburn University Auburn United States Institute of Rural Development Zhejiang Academy of Agricultural Sciences Hangzhou China DBAPPSecurity Co. Ltd. Hangzhou China

Gossip learning (GL), as a decentralized alternative to federated learning (FL), is more suitable for resource-constrained wireless networks, such as Flying Ad-Hoc Networks (FANETs) that are formed by unmanned aerial vehicles (UAVs). GL can significantly enhance the efficiency and extend the battery life of UAV networks. Despite the advantages, the performance of GL is strongly affected by data distribution, communication speed, and network connectivity. However, how these factors influence the GL convergence is still unclear. Existing work studied the convergence of GL based on a virtual quantity for the sake of convenience, which failed to reflect the real state of the network when some nodes are inaccessible. In this paper, we formulate and investigate the impact of inaccessible nodes to GL under a dynamic network topology. We first decompose the weight divergence by whether the node is accessible or not. Then, we investigate the GL convergence under the dynamic of node accessibility and theoretically provide how the number of inaccessible nodes, data non-i.i.d.-ness, and duration of inaccessibility affect the convergence. Extensive experiments are carried out in practical settings to comprehensively verify the correctness of our theoretical findings. Copyright © 2024, The Authors. All rights reserved.

关键词： Antennas

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Diving into Continual Ultra-fine-grained Visual Categorization

Diving into Continual Ultra-fine-grained Visual Categorizati...

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Proceedings of the Digital Image Computing: Technqiues and Applications (DICTA)

作者： Pengcheng Zhang Xiaohan Yu Xiao Bai Jin Zheng Xiaoyu Wu Yongsheng Gao School of Computer Science and Engineering State Key Laboratory of Software Development Environment Jiangxi Research Institute Beihang University Beijing China Institute for Integrated and Intelligent Systems Griffith University Nathan Australia

Recent advance in ultra-fine-grained visual categorization (ultra-FGVC) has significantly boosted the capability of deep neural networks for ultra-FGVC tasks. However, building models for continually learning to recognize increasing ultra-fine-grained categories is still under-explored. This limits the application of ultra-FGVC techniques in real-world production. To this, we take the first attempt for continual ultra-FGVC. By evaluating existing continual learning methods on the constructed continual ultra-FGVC benchmark, we observe that the main bottleneck lies in the limited model plasticity for incrementally adapting to new tasks. This can be caused by excessive anti-forgetting constraints as the difficult ultra-FGVC task requires substantial update of parameters, and over-fitting on early tasks given that the ultra-fine-grained categories are with very few training samples. To tackle these problems, we propose a joint self-supervised learning and prompting model. The prompt-based continual learning framework offers proper anti-forgetting operation by fixed pretrained vision transformer and adaptive prompt selection. By jointly optimizing the learnable prompts with an adversarial self-supervised loss, the over-fitting on each continual learning task is mitigated. Extensive experiments demonstrate that the proposed method outperforms existing continual learning methods on the challenging continual ultra-FGVC problem.

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Requirements engineering for Web3 systems: Preface

Requirements Engineering for Web3 Systems: Preface

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IEEE International Requirements engineering Conference Workshops (REW)

作者： Itzhak Aviv Davor Svetinovic Seok-Won Lee Department of Information Systems The Academic College of Tel Aviv-Yaffo Tel-Aviv Israel Khalifa University Abu Dhabi UAE Vienna University of Economics and Business Vienna Austria Department of Software and Computer Engineering Ajou University South Korea

ISBN: (数字)9798350395518

ISBN: (纸本)9798350395525

The 1st International Workshop on Requirement engineering for Web3 systems (RE4Web3), held at the 32nd IEEE RE Conference 2024, fills in the space between traditional Requirements engineering (RE) and particular challenges posed by Web3 technologies. The workshop discussed changing RE artifacts, processes, and practices to efficiently build and operate emerging Web3 systems. The accepted papers showcase the diversity and depth of research in this emerging field, addressing key topics such as smart contract compatibility with Central Bank Digital Currencies, RE challenges in rollup construction, privacy and security in blockchain-based federated learning, and infrastructure requirements for blockchain-native information systems. The new findings described in these industry-focused papers add to the formation of the discipline and lay the cornerstone for future research and practice in RE integration with Web3 technologies.

关键词： Privacy Online banking Federated learning Conferences Smart contracts Requirements engineering Security

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Visualizing Student Attention in Smart Classrooms: A Preliminary Study

Visualizing Student Attention in Smart Classrooms: A Prelimi...

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International Conference on Innovations in Information Technology

作者： Medha Mohan Ambali Parambil Amna Mohammed Abdulla Alhammadi Fady Alnajjar Zouheir Trabelsi Luqman Ali Muhammed Swavaf Department of Information Systems and Security College of IT United Arab Emirate University Al Ain UAE Department of Computer Science and Software Engineering College of IT United Arab Emirate University Al Ain UAE

In recent years, there has been a swift progression in employing novel methods in classrooms to enhance students’ academic achievements, especially in line with the growing digitization of education. Such methods often encompass systems like facial recognition to monitor various aspects of students, including attendance, emotional states, and attention. These tools are capable of evaluating students’ presence and engagement in class, offering quantifiable metrics regarding their concentration and emotions. However, a prominent challenge has been the translation of this data into an accessible form that enables educators to assess and enhance their teaching techniques swiftly. Our suggested solution tackles this issue by offering a real-time visual depiction of students’ classroom status through different visualization techniques. These visual aids allow teachers to promptly recognize trends in student focus, thus aiding in the strategic alteration of teaching styles. Furthermore, these visual representations can be tailored to display various metrics and applied to tasks beyond monitoring attention, like overseeing attendance or assessing student progress. By integrating these advanced visualizations into the educational process, both teaching efficacy and the learning experience for students and teachers alike can be substantially elevated.

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INNSE: Invertible neural network-based DNA image storage with self-correction encoding

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Computational and Structural Biotechnology Journal 2025年 27卷 2492-2502页

作者： Zheng, Yanfen Zhang, Xiaokang Sun, Lijun Cao, Ben Wang, Bin Zhang, Qiang Zheng, Pan School of Computer Science and Technology Dalian University of Technology Liaoning Dalian116024 China The Key Laboratory of Advanced Design and Intelligent Computing Ministry of Education School of Software Engineering Dalian University Liaoning Dalian116622 China Department of Accounting and Information Systems University of Canterbury Upper Riccarton Christchurch8140 New Zealand

DNA storage has become an alternative to silicon-based storage of media. However, when used to store multimodal data such as images, it fails to take full advantage of the characteristics of high correlation and variability present in such data, and currently remains inferior in terms of encoding density and time complexity. It also has the shortcoming of weak performance in terms of error correction methods to address insertion and deletion errors caused by error crosstalk. Therefore, we proposed an invertible neural network-based DNA image storage self-correction encoding method (INNSE) that uses the invertibility of network to perform up-down sampling processing on image and video data, thereby greatly reducing the number of DNA sequences required for data storage. A codebook generator was then designed to encode low-dimensional vectors into DNA sequences that meet various constraints. Finally, a self-correction method was constructed to achieve DNA sequence error correction at the base level without adding any redundant information. Our experimental results showed that, compared to the Yin-Yang algorithm, the encoding density of INNSE was increased by 3×, encoding time complexity was reduced by 95.26%. Under a simulated error rate of 2%, PSNR and SSIM were raised by 80.88% and 63.82%, respectively, proving that INNSE has significant advantages in encoding performance and error correction ability. © 2025

关键词： Network coding

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Metaverse: A Vision, Architectural Elements, and Future Directions for Scalable and Realtime Virtual Worlds

arXiv

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arXiv 2023年

作者： Ismail, Leila Buyya, Rajkumar Lab School of Computing and Information Systems The University of Melbourne Australia Lab Department of Computer Science and Software Engineering National Water and Energy Center United Arab Emirates University United Arab Emirates

With the emergence of Cloud computing, Internet of Things-enabled Human-computer Interfaces, Generative Artificial Intelligence, and high-accurate Machine and Deep-learning recognition and predictive models, along with the Post Covid-19 proliferation of social networking, and remote communications, the Metaverse gained a lot of popularity. Metaverse has the prospective to extend the physical world using virtual and augmented reality so the users can interact seamlessly with the real and virtual worlds using avatars and holograms. It has the potential to impact people in the way they interact on social media, collaborate in their work, perform marketing and business, teach, learn, and even access personalized healthcare. Several works in the literature examine Metaverse in terms of hardware wearable devices, and virtual reality gaming applications. However, the requirements of realizing the Metaverse in realtime and at a large-scale need yet to be examined for the technology to be usable. To address this limitation, this paper presents the temporal evolution of Metaverse definitions and captures its evolving requirements. Consequently, we provide insights into Metaverse requirements. In addition to enabling technologies, we lay out architectural elements for scalable, reliable, and efficient Metaverse systems, and a classification of existing Metaverse applications along with proposing required future research *** Codes ***, *** © 2023, CC BY.

关键词： Energy efficiency

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Wheelchair Wheel Design with Transformable “Wheel-Leg” Configuration for Climbing Stairs and Various Surfaces

Wheelchair Wheel Design with Transformable “Wheel-Leg” Con...

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International Russian Smart Industry Conference (SmartIndustryCon)

作者： Islam Magomedov Timur Aygumov Anzor A. Kanametov Bissnes informatics Kadyrov Chechen state university Grozny Russia Department of software engineering computer technology and automated systems Dagestan State Technical University Dagestan Russia Department of Electronics and Digital Information Technologies Kabardino-Balkarian State University Nalchik Russia

ISBN: (数字)9798331511241

ISBN: (纸本)9798331511258

The dynamic and uneven terrain of our environment introduces complexity for locomotion vehicles to navigate easily across different settings. Wheelchairs belong to the category of vehicles that require locomotion across various uneven terrains, such as stairs and other partitions. Therefore, the aim of this work is to design a wheel that can travel through various environments without using complex mechanisms. This aim was achieved by creating a novel transformable wheel. This wheel can turn into a legged wheel without using a complex mechanism and, when unnecessary, transform back into a normal wheel. Several simulations were carried out to understand the design's capability to overcome obstacles. In this case, the stair was the obstacle, and the results illustrated that the wheel is capable of climbing stairs without serious issues. Different parameters, such as speed and force, were examined with various values. The results showed that the weight on the wheelchair plays a significant role in climbing. For instance, with lighter weight, the structure moves without major slipping. The roughness of the surface is also related to the wheelchair's ability to reach the top of the stairs. A finer depth of cuts on the surface of the stairs increases the chance of the legged wheel firmly gripping and moving up the stairs.

关键词： Shape Navigation Wheelchairs Wheels Rotors Transforms Stairs Surface roughness Rough surfaces Vehicle dynamics

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Automatic State Matching Gaussian Process Ensemble for Wood Planer Control

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IFAC-PapersOnLine 2022年第10期55卷 625-630页

作者： Jean-Thomas Sexton Michael Morin Rémi Georges Foroogh Abasian Jonathan Gaudreault FORAC Research Consortium Department of Computer Science and Software Engineering Department of Operations and Decision Systems Université Laval Québec QC Canada FPInnovations Québec QC Canada

Wood planers are high speed sophisticated lumber finishing machines that are difficult to operate and for which the available data shows complex, non-linear patterns. We present a machine learning approach to build a control loop for an industrial wood planer. In order to predict the thickness of the outgoing boards with better accuracy than the industry standard whilst allowing dynamic planer adjustments, we use an ensemble of Gaussian Processes with a specialized weighting scheme we call Automatic State Matching. It reduces the prediction error by 39% compared to current industrial practice.

关键词： Smart manufacturing Machine learning Production control Gaussian process Industry 4.0

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