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arXiv 2025年

作者： Dave, Kshitij Innan, Nouhaila Behera, Bikash K. Mumtaz, Shahid Al-Kuwari, Saif Farouk, Ahmed Institute of Advanced Research Gandhinagar India Quantum Physics and Magnetism Team LPMC Faculty of Sciences Ben M’sick Hassan II University of Casablanca Morocco NYUAD Research Institute NYUAD Abu Dhabi United Arab Emirates Pvt. Ltd. WB Mohanpur741246 India Nottingham Trent University Engineering Department United Kingdom Qatar Center for Quantum Computing College of Science and Engineering Hamad Bin Khalifa University Doha Qatar Department of Computer Science Faculty of Computers and Artificial Intelligence Hurghada University Hurghada Egypt

Low-energy carbon Internet of Things (IoT) systems are essential for sustainable development, as they reduce carbon emissions while ensuring efficient device performance. Although classical algorithms manage energy efficiency and data processing within these systems, they often face scalability and real-time processing limitations. Quantum algorithms offer a solution to these challenges by delivering faster computations and improved optimization, thereby enhancing both the performance and sustainability of low-energy carbon IoT systems. Therefore, we introduced three quantum algorithms: quantum neural networks utilizing Pennylane (QNN-P), Qiskit (QNN-Q), and hybrid quantum neural networks (QNN-H). These algorithms are applied to two low-energy carbon IoT datasets—room occupancy detection (RODD) and GPS tracker (GPSD). For the RODD dataset, QNN-P achieved the highest accuracy at 0.95, followed by QNN-H at 0.91 and QNN-Q at 0.80. Similarly, for the GPSD dataset, QNN-P attained an accuracy of 0.94, QNN-H 0.87, and QNN-Q 0.74. Furthermore, the robustness of these models is verified against six noise models. The proposed quantum algorithms demonstrate superior computational efficiency and scalability in noisy environments, making them highly suitable for future low-energy carbon IoT systems. These advancements pave the way for more sustainable and efficient IoT infrastructures, significantly minimizing energy consumption while maintaining optimal device performance. © 2025, CC BY.

关键词： Low emission

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Towards a European HPC/AI ecosystem: A community-driven report 2

Towards a European HPC/AI ecosystem: A community-driven repo...

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2nd EuroHPC user day, EuroHPC 2024

作者： Taborsky, Petr Colonnelli, Iacopo Kurowski, Krzysztof Sarma, Rakesh Pontoppidan, Niels Henrik Jansík, Branislav Detlefsen, Nicki Skafte Pedersen, Jens Egholm Larsen, Rasmus Hansen, Lars Kai Technical University of Denmark Anker Engelunds Vej 1 Bygning 101A Kongens Lyngby2800 Denmark University of Torino Computer Science Dept. Corso Svizzera 185 Torino10149 Italy Poznań Supercomputing and Networking Center Jana Pawla II 10 Poznań61-139 Poland Forschungszentrum Jülich GmbH Jülich Supercomputing Centre Wilhelm-Johnen-Straße Jülich52425 Germany Eriksholm Research Centre Rørtangvej 20 Snekkersten3070 Denmark IT4Innovations VSB - Technical University of Ostrava Ostrava Czech Republic KTH Royal Institute of Technology Brinellvägen 8 Stockholm114 28 Sweden Alexandra Instituttet Rued Langgaards Vej 7 Copenaghen2300 Denmark

The rapid advancements in AI and Machine Learning necessitate a robust computational infrastructure to support cutting-edge research and industrial applications. From the academic and industrial AI community perspective, voiced in the recent ELISE project, the European AI platform is recommended to center around the EuroHPC growing ecosystem. It should be user-driven, easily accessible, powerful, and compliant with European regulations. AI-optimized and dedicated supercomputers for the European AI community are also coming, in addition to upgrading partitions of existing EuroHPC systems to 'AI enabled' stage. Related calls have been initiated in September 2024. Further, conventional EuroHPC systems are suggested to be extended with quantum computing, edge AI, and neuromorphic computing to cater to AI models deployed on network edge devices and sustainability in the long run. The challenges are presented in three case studies, ranging from training Transformers on HPC to LLMs trained federally across three different Euro HPC systems to recent results on hybrid classical-quantum application. This paper concludes with case studies results-informed next steps believed to benefit AI practitioners and the broader AI community. © 2025 The Authors. Published by Elsevier B.V.

关键词： Federated learning

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Techniques and Applications of Digital Watermarking and Content Protection 2nd edition

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丛书名： Artech House computer security series

2003年

作者： Arnold, Michael. Schmucker,...

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Effects of limited acceleration-deceleration capabilities and state of brake light on traffic flow

Effects of limited acceleration-deceleration capabilities an...

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2010 International Conference on computer Application and System Modeling, ICCASM 2010

作者： Lan, Shiyong Zhou, Xin Wang, Tao Institute of Image and Graphics School of Computer Science and Engineering Sichuan University Chengdu China

ISBN: (纸本)9781424472369

We present a new combined cellular automaton (CA) model for one-lane traffic flow. In this model, we consider the driver prejudgment according to the state (velocity and brake light) of the leading vehicle. We also consider the mechanical restrictions of vehicles realized by limited acceleration and deceleration capabilities, which is not considered in most models. Further more, comfortable driving is considered, too. Using computer simulations we obtain some basic qualitative results and the fundamental diagram of the proposed model. Through these simulations, not only the start-stop wave can be obtained, but also collision-free flow as a consequence of moderate driving can be obtain. The flux of our model is closer to the measurement value than NaSch model. In comparison with the known models. we find that the fundamental diagram of the proposed model is more realistic than that of the known model. © 2010 IEEE.

关键词： Cellular automata

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Probabilistic visual tracking using global and local object's information

Probabilistic visual tracking using global and local object'...

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International Conference on computer science and Software Engineering, CSSE 2008

作者： Gao, Lin Liu, Zhifang Tang, Peng Image and Graphics Institute Computer Science Department Sichuan University Chengdu 610065 China

ISBN: (纸本)9780769533360

This paper presents a robust visual tracking algorithm by exploiting global and local object's information under a particle filter tracking framework. The proposed algorithm utilize a tow-stage cascade scheme to update the particles within the state space in a coarse to fine manner. At the first stage, the object state is estimated by a coarse search using global color statistics. Then a refined estimate is achieved through exploring the local binary pattern feature. To overcome the problem of poor priors in the conventional particle filter which uses system transition as the proposal distribution, we use the state estimation made at the first stage to construct the proposal distribution that seamlessly integrates the current observation. Experimental results demonstrate the efficiency and accuracy of the proposed algorithm. © 2008 IEEE.

关键词： Local binary pattern

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Automatic differentiation for GPU-accelerated 2D/3D registration

Automatic differentiation for GPU-accelerated 2D/3D registra...

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5th International Conference on Automatic Differentiation

作者： Grabner, Markus Pock, Thomas Gross, Tobias Kainz, Bernhard Institute for Computer Graphics and Vision Graz University of Technology Inffeldgasse 16a/II 8010 Graz Austria

ISBN: (纸本)9783540689355

A common task in medical image analysis is the alignment of data from different sources, e.g., X-ray images and computed tomography (CT) data. Such a task is generally known as registration. We demonstrate the applicability of automatic differentiation (AD) techniques to a class of 2D/3D registration problems which are highly computationally intensive and can therefore greatly benefit from a parallel implementation on recent graphics processing units (GPUs). However, being designed for graphics applications, GPUs have some restrictions which conflict with requirements for reverse mode AD, in particular for taping and TBR analysis. We discuss design and implementation issues in the presence of such restrictions on the target platform and present a method which can register a CT volume data set (512 × 512 × 288 voxels) with three X-ray images (512 × 512 pixels each) in 20 seconds on a GeForce 8800GTX graphics card. © 2008 Springer-Verlag Berlin Heidelberg.

关键词： graphics processing unit

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Proximity Graphs for Defining Surfaces over Point Clouds 1

Proximity Graphs for Defining Surfaces over Point Clouds

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1st Symposium on Point Based graphics, PBG 2004

作者： Klein, Jan Zachmann, Gabriel Heinz Nixdorf Institute Institute of Computer Science University of Paderborn Germany Department of Computer Science II University of Bonn Germany

ISBN: (纸本)3905673096

We present a new definition of an implicit surface over a noisy point cloud. It can be evaluated very fast, but, unlike other definitions based on the moving least squares approach, it does not suffer from artifacts. In order to achieve robustness, we propose to use a different kernel function that approximates geodesic distances on the surface by utilizing a geometric proximity graph. The starting point in the graph is determined by approximate nearest neighbor search. From a variety of possibilities, we have examined the Delaunay graph and the sphere-of-influence graph (SIG). For both, we propose to use modifications, the r-SIG and the pruned Delaunay graph. We have implemented our new surface definition as well as a test environment which allows to visualize and to evaluate the quality of the surfaces. We have evaluated the different surfaces induced by different proximity graphs. The results show that artifacts and the root mean square error are significantly reduced. © The Eurographics Association 2004.

关键词： Mean square error

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Hardware-accelerated ambient occlusion computation

Hardware-accelerated ambient occlusion computation

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Vision, Modeling and Visualization 2004, VMV 2004

作者： Sattler, Mirko Sarlette, Ralf Zachmann, Gabriel Klein, Reinhard University of Bonn Institute for Computer Science II Bonn Germany

ISBN: (纸本)3898380580

In this paper, we present a novel, hardwareaccelerated approach to compute the visibility between surface points and directional light sources. Thus, our method provides a first-order approximation of the rendering equation in graphics hardware. This is done by accumulating depth tests of vertex fragments as seen from a number of light directions. Our method does not need any preprocessing of the scene elements and introduces no memory overhead. Besides of the handling of large polygonal models, it is suitable for deformable or animated objects under time-varying high-dynamic range illumination at interactive frame rates.

关键词： Light sources

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Exploitation of human shadow perception for fast shadow rendering 05

Exploitation of human shadow perception for fast shadow rend...

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APGV 2005: 2nd Symposium on Applied Perception in graphics and Visualization

作者： Sattler, Mirko Sarlette, Ralf Mücken, Thomas Klein, Reinhard University of Bonn Institute for Computer Science II Bonn Germany

ISBN: (纸本)1595931392

In this paper we describe an experiment to obtain information about the perceptual potential of the human visual system regarding shadow perception. Shadows play an important part for communicating spatial structures of objects to the observer. They are also essential for the overall realism of the rendered image. Unfortunately, most algorithms in computer graphics which are capable of producing realistic shadows are computationally expensive. The main idea behind the experiment is to use a simplified version of the shadow caster to generate hard and soft shadows, which would rapidly increase performance and to evaluate up to which degree a simplification is possible, without producing noticeable errors. Therefore, an experiment is performed, in which the test persons should mark the point of the just noticeable difference. First results show, that a mesh simplified to only 1% of its original complexity is capable to cast soft shadows that satisfy 90% of the test persons. Copyright © 2005 by the Association for Computing Machinery, Inc.

关键词： Sensory perception

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Towards Tangible Cultural Heritage Experiences - Enriching VR-based Object Inspection with Haptic Feedback

Towards Tangible Cultural Heritage Experiences - Enriching V...

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作者： Krumpen, Stefan Klein, Reinhard Weinmann, Michael Institute of Computer Science II University of Bonn Bonn Germany

VR/AR technology is a key enabler for new ways of immersively experiencing cultural heritage artifacts based on their virtual counterparts obtained from a digitization process. In this article, we focus on enriching VR-based object inspection by additional haptic feedback, thereby creating tangible cultural heritage experiences. For this purpose, we present an approach for interactive and collaborative VR-based object inspection and annotation. Our system supports high-quality 3D models with accurate reflectance characteristics while additionally providing haptic feedback regarding shape features of the object based on a 3D printed replica. The digital object model in terms of a printable representation of the geometry as well as reflectance characteristics are stored in a compact and streamable representation on a central server, which streams the data to remotely connected users/clients. The latter can jointly perform an interactive inspection of the object in VR with additional haptic feedback through the 3D printed replica. Evaluations regarding system performance, visual quality of the considered models, as well as insights from a user study indicate an improved interaction, assessment, and experience of the considered objects. © 2021 Association for Computing Machinery.

关键词： Reflection

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