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arXiv 2025年

作者： Deschênes, Anthony Georges, Rémi Subakan, Cem Ugulino, Bruna Henry, Antoine Morin, Michael Dep. of Wood and Forest Sciences QC Canada Dep. of Computer Science and Software Engineering Dep. of Operations and Decision Systems QC Canada FORAC Research Consortium Université Laval QC Canada Mila-Quebec AI Institute QC Canada FPInnovations QC Canada Concordia University QC Canada

In recent years, the wood product industry has been facing a skilled labor shortage. The result is more frequent sudden failures, resulting in additional costs for these companies already operating in a very competitive market. Moreover, sawmills are challenging environments for machinery and sensors. Given that experienced machine operators may be able to diagnose defects or malfunctions, one possible way of assisting novice operators is through acoustic monitoring. As a step towards the automation of wood-processing equipment and decision support systems for machine operators, in this paper, we explore using a deep convolutional autoencoder for acoustic anomaly detection of wood planers on a new real-life dataset. Specifically, our convolutional autoencoder with skip connections (Skip-CAE) and our Skip-CAE transformer outperform the DCASE autoencoder baseline, one-class SVM, isolation forest and a published convolutional autoencoder architecture, respectively obtaining an area under the ROC curve of 0.846 and 0.875 on a dataset of real-factory planer sounds. Moreover, we show that adding skip connections and attention mechanism under the form of a transformer encoder-decoder helps to further improve the anomaly detection capabilities. © 2025, CC BY.

关键词： Competition

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Standardization Review on Non-Terrestrial Networks

Standardization Review on Non-Terrestrial Networks

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International Conference on information Networking

作者： Yeunwoong Kyung Jaewook Lee Haneul Ko Seungmin Oh Jaehwan Lee Youngjun Kim Div. of Info. & Comm. Eng Kongju National University Cheonan Korea Dep. of Info. and Comm. Engineering Pukyong National University Busan Korea Dep. of Electronic Eng Kyung Hee University Yongin-si Korea Dep. of Computer Science and Eng Kongju National University Cheonan Korea School of Computer Science and Eng Kyungnam University Changwon Korea

ISBN: (数字)9798331506940

ISBN: (纸本)9798331506957

As the demand for global connectivity increases, non-terrestrial networks (NTNs), particularly satellite-based systems, have gained significant attention in communication network standardization. The 3rd Generation Partnership Project (3GPP) has been at the forefront of developing standards that incorporate satellite communications into the broader terrestrial network framework. This paper reviews the progression of NTN standardization, focusing on three key stages: (1) the use of satellites as relays or the next generation NodeBs (gNBs), (2) the integration of user plane functions (UPF) within satellites, and (3) the inclusion of control plane network functions (NFs) within satellites. These developments in standardizations reflect a shift from basic relay functions to fully integrated satellite networks.

关键词： Satellites 3GPP Standards Reviews Trajectory 3GPP Relays Low latency communication Satellite communications Standards Next generation networking

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Approaches to Quantum Remote Memory Attestation

arXiv

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arXiv 2025年

作者： Laeuchli, Jesse Rasua, Rolando Trujillo The School of Computer Science and Engineering UNSW Sydney Sydney Australia The Dep. Enginy. Informàtica i Matemàtiques Rovira i Virgili University Tarragona Spain

In this article we uncover flaws and pitfalls of a quantum-based remote memory attestation procedure for Internet-of-Things devices. We also show limitations of quantum memory that suggests the attestation problem for quantum memory is fundamentally different to the attestation problem for classical memory, even when the devices can perform quantum computation. The identified problems are of interest for quantum-based security protocol designers in general, particularly those dealing with corrupt devices. Finally, we make use of the lessons learned to design a quantum-based attestation system for classical memory with improved communication efficiency and security. © 2025, CC BY.

关键词： Quantum computers

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A Multivariate Functional Analysis of Inter-Hands Spatiotemporal Coordination in Human Bimanual Tasks and its Implications for Robotics

A Multivariate Functional Analysis of Inter-Hands Spatiotemp...

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International Conference on Autonomous Robots and Agents, ICARA

作者： Marco Baracca Andre Meixner Giuseppe Averta Paolo Salaris Tamim Asfour Matteo Bianchi Dept. of Information Engineering Research Center “E. Piaggio” University of Pisa Pisa Italy Institute for Anthropomatics and Robotics Karlsruhe Institute of Technology Karlsruhe Germany Dep. of Control and Computer Engineering Politecnico di Torino Turin Italy

ISBN: (数字)9798331509231

ISBN: (纸本)9798331509248

Dual-arm manipulation is a key enabler for significantly enhancing the interaction between humans and robots, and their capabilities to purposefully shape the surrounding environment. However, the spatiotemporal coordination between the motion of the hands required for this type of actions makes their planning not trivial. A proper definition of these coordination patterns moving from the human example could simplify their translation on the robot side, fostering the generation of effective bimanual tasks. In this work, we propose Multivariate functional Principal Component Analysis (MfPCA) as a mathematical tool to encode inter-hands temporal kinematic covariations in terms of principal spatiotemporal coordination patterns in the Cartesian domain. We compared these patterns extracted from a dataset of human bimanual tasks with those resulting from the usage of classical fPCA, applied indep.ndently to each hand (univariate fPCA). We found that MfPCA allows for a better classification of the tasks, with respect to a state of the art taxonomy. For what concerns motion planning, MfPCA and fPCA yield similar accuracy in the reconstruction of the motion, but with a smaller number of principal components needed in the MfPCA case. These results, although preliminary, can open interesting perspectives for the usage of MfPCA for human-like bimanual motion planning and control of robotic manipulators, as well as for action recognition, to enable a more effective human-robot interaction.

关键词： Hands Translation Shape Robot kinematics Taxonomy Human-robot interaction Functional analysis Planning Spatiotemporal phenomena Principal component analysis

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Fiber Ring Laser In-cavity Phase Modulation

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中国激光(英文版) 2001年第3期B10卷 161-166页

作者： Yu Benli Qian Jingren LUO Jiatong Yang Yinghai Physics Dep. Anhui University Electronic Engineering Information Science Dep. USTC

In this paper, experimental results of the in-cavity phase modulation induced by dithering PZT is reported. The dithering PZT can produce strong phase modulation, reshaping the laser output spectrum, but does not affe... 详细信息

关键词： phase modulation

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Blockchain Hybrid-model Scheme for Scalable Cross-domain Authorisation

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Blockchain: Research and Applications 2025年

作者： Munkenyi Mukhandi Jorge Granjal João P. Vilela CISUC Dep. of Informatics Engineering University of Coimbra Portugal CISUC Dep. of Informatics Engineering & CRACS / INESCTEC & Dep. of Computer Science Faculty of Sciences University of Porto Portugal

We introduce a novel blockchain-based inter-ledger authorization scheme, a unique solution designed to support delegated authorization management in cross-domain cloud environments. This innovative approach enables client applications, acting on behalf of a user, to request access to specific resources owned by a different organization. It benefits cross-domain multi-cloud applications, such as large-scale collaboration projects involving multiple cloud service providers. Multi-cloud presents authorization challenges because of complex access control operations in multiple distinct domains. OAuth2 is the state-of-the-art choice for delegated authorization. However, it falls short in handling such complex interactions with multiple authorization servers and resource servers, and this is our motivation. Compared to OAuth2, our approach overcomes the limitations of a centralized model and achieves coordinated distinct delegations among multiple entities without a third-party trusted component. Authorization servers are blockchain participants and designated access token issuers, ensuring minimum client data collection and promoting client privacy. Multiple smart contracts are dep.oyed in our multi-ledger blockchain environment to guarantee the provenance of the authorization operations and facilitate scalable cross-domain authorization. Our ‘hybrid inter-ledger model’, combines security techniques such as blockchain-based device authentication, hashed-time locks (HTCLs), and service discovery. The blockchain-based device authentication ensures secure and trusted interactions, HTCLs enable time-bound transactions, and service discovery simplifies finding and connecting to the required cloud services. Our experimental evaluation provides insights into the scalability of our approach, which achieves decentralized authorization in a multi-cloud environment with acceptable latencies compared to related works and shows stable throughput against concurrent authorization reque

关键词： OAuth2 multi-cloud decentralised coordinated authorisation multi-ledgers blockchain security smart contracts

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BOUNDARY CONTRACTION SOLUTION OF NEUMANN AND MIXED BOUNDARY VALUE PROBLEMS OF LAPLACE EQUATION

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NUMERISCHE MATHEMATIK 1971年第5期16卷 442-+页

作者： KIYONO, T SHIMASAKI, M Dep. of Information Science Kyoto University Kyoto Japan Dep. of Electrical Engineering Kyoto University Kyoto Japan

The boundary contraction method is generalized in such a way that it is applicable to the Neumann and mixed boundary value problems over regions of irregular shape. Various variants of mixed boundary value problems can be solved numerically in a unified way with mesh points fewer than those required of ADI and SOR. The method is not iterative and therefore does not require the positive definiteness of eigenvalues which is the necessary condition of the stability of ADI and SOR. The method is also applicable to exterior problems. Thus the applicability of the contraction method to problems of practical importance is substantially improved.

关键词： Mathematical Method Practical Importance Irregular Shape Laplace Equation Mesh Point

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A New Model of Nature Images Based on Generalized Gaussian Distribution

A New Model of Nature Images Based on Generalized Gaussian D...

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WRI International Conference on Communications and Mobile Computing

作者： Xu Mankun Li Tianyun Ping Xijian Dep. of Information Science Univ. of Information Engineering

ISBN: (纸本)9780769535012

We propose a new statistical model of nature images named 2D joint differential image histogram (JDIH). To simulate this model, we define a kind of 2D generalized Gaussian distribution (GGD) symmetrically in every direction by extending the ID GGD function. The 2D JDIH and its estimated parameters can efficiently measure the images inner and inter correlations of local areas in a special direction or between different directions. Because the correlations in nature images behave like image textures, JDIH and DIH can measure the texture complexity of nature images and are useful in many fields of image analysis.

关键词： Gaussian distribution Gray-scale Histograms Image analysis Wavelet coefficients Mobile communication Mobile computing Distributed computing information science Computational modeling

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CNN-based Human Activity Recognition on Edge Computing Devices

CNN-based Human Activity Recognition on Edge Computing Devic...

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2023 IEEE International Conference on Omni-Layer Intelligent Systems, COINS 2023

作者： Singh, Amandeep Margaria, Tiziana Demrozi, Florenc University of Limerick Dep. of Computer Science and Information Systems Ireland University of Stavanger Dep. of Electrical Engineering and Computer Science Norway

ISBN: (纸本)9798350346473

Human Activity Recognition (HAR) is a research area that involves wearable devices integrating inertial and/or physiological sensors to classify human actions and status across various application domains, such as healthcare, sports, industry, and entertainment. However, executing HAR algorithms on remote devices or the cloud can lead to issues such as latency, bandwidth requirements, and energy consumption. Transitioning towards Edge HAR can be a more effective and versatile solution, overcoming the challenges of traditional HAR techniques. We present a novel HAR model for computation on edge devices: we design a Convolutional Neural Network (CNN) Deep Learning approach and compare its performance with cloud-computing HAR models. The paper is accompanied by a self-collected dataset. The experiments on this dataset demonstrate that the proposed edge computing model achieves promising results (\geq 92 %) in terms of Precision, Recall, and Fl-score. Furthermore, the model exhibits significantly reduced latency, with only 117 ms, and utilizes minimal memory, with a peak of 18.8 Kb RAM and 956 Kb Flash memory. © 2023 IEEE.

关键词： Edge computing

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Robust principal component analysis based on fuzzy objective function

Robust principal component analysis based on fuzzy objective...

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9th IASTED International Conference on Artificial Intelligence and Soft Computing, ASC 2005

作者： Yang, Tai-Ning Chen, Chun-Jung Lee, Chih-Jen Yen, Shi-Jim Dep. of Computer Science Chinese Culture University Taiwan Dep. of Computer Science and Information Engineering National Dong-Hua University Taiwan

ISBN: (纸本)0889865361

In this paper, we address the issues related to the design of fuzzy robust principal component analysis algorithms. We formulate a fuzzy objective function for principal component analysis and derive algorithms that can extract the appropriate principal components from the spoiled data set. Artificially generated data sets are used to evaluate the performance of the proposed principal component extraction algorithm.

关键词： Principal component analysis

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