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2nd International Conference on Artificial Intelligence, Blockchain, and Internet of Things, AIBThings 2024

作者： Kopcho, Thomas J. Fouda, Mostafa M. Krome, Cameron J. Quach, Anna T. Olaveson, Israel G. Idaho State University Department of Computer Science PocatelloID United States Idaho State University Department of Electrical and Computer Engineering PocatelloID United States Ai Data & Visualization Idaho National Laboratory Idaho FallsID United States

ISBN: (纸本)9798331529529

This study examines the relationship between Quality of Service (QoS) and security in Wi-Fi networks. Using a detailed dataset consisting of QoS metrics of file transfers under various security configurations, we analyze the impact of these settings on network performance. Our findings provide a quantification to accurately show that different encryption protocols, such as TKIP and CCMP, significantly affect QoS, with disabling security generally improving performance. The study provides a framework for optimizing security settings to enhance both security and QoS in future wireless networks. © 2024 IEEE.

关键词： Wireless local area networks (WLAN)

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A Lightweight AI Model for Anomaly Detection in Wireless Networks 2

A Lightweight AI Model for Anomaly Detection in Wireless Net...

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2nd International Conference on Artificial Intelligence, Blockchain, and Internet of Things, AIBThings 2024

作者： Kopcho, Thomas J. Fouda, Mostafa M. Krome, Cameron J. Idaho State University Department of Computer Science PocatelloID United States Idaho State University Department of Electrical and Computer Engineering PocatelloID United States Idaho National Laboratory Ai Data & Visualization Idaho FallsID United States

ISBN: (纸本)9798331529529

Detecting network anomalies is critical for wireless network security and reliability. Traditional AI methods often require substantial computational resources, particularly when deployed on cloud servers, leading to increased network load and latency. In contrast, deploying AI models directly on end devices enables real-time data processing at the source, facilitating faster anomaly detection and mitigation. We propose a lightweight hierarchical AI model where initial inferences are made by a simple model and outputs confidence scores. Using a modified TOPSIS-based method, we determine an optimal confidence score threshold. Inferences below this threshold are forwarded to a more complex model for accurate analysis, reducing overall computational demands while maintaining high detection performance. Our approach is tested on a 5 G network dataset, demonstrating competitive performance compared to other anomaly detection models. © 2024 IEEE.

关键词： 5G mobile communication systems

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PraK Tool: An Interactive Search Tool Based on Video data Services 30th

PraK Tool: An Interactive Search Tool Based on Video Data S...

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30th International Conference on MultiMedia Modeling, MMM 2024

作者： Lokoč, Jakub Vopálková, Zuzana Stroh, Michael Buchmueller, Raphael Schlegel, Udo SIRET Research Group Department of Software Engineering Faculty of Mathematics and Physics Charles University Prague Czech Republic Visual Computing Department of Computer Science Faculty of Natural Sciences Konstanz University Konstanz Germany Data Analysis and Visualization Department of Computer Science Faculty of Natural Sciences Konstanz University Konstanz Germany

ISBN: (纸本)9783031533013

This paper presents a tool relying on data service architecture, where technical details of all VBS datasets are completely hidden behind an abstract stateless data layer. The data services allow independent development of interactive search interfaces and refinement techniques, which is demonstrated by a smart front-end component. The component supports common search features and allows users to exploit content-based statistics for effective filtering. We believe that video data services might be a valuable addition to the open-source VBS toolkit, especially when available for the competition on a shared server with all VBS datasets, extracted features, and meta-data behind. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Video recording

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Large data visualization on distributed memory multi-GPU clusters 2

Large data visualization on distributed memory multi-GPU clu...

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2nd ACM SIGGRAPH / Eurographics on High-Performance Graphics, HPG 2010

作者： Fogal, Thomas Childs, Hank Shankar, Siddharth Krüger, Jens Bergeron, R. Daniel Hatcher, Philip Scientific Computing and Imaging Institute University of Utah United States Department of Computer Science University of New Hampshire United States Lawrence Berkeley National Laboratory United States Interactive Visualization and Data Analysis Group DFKI Germany

ISBN: (纸本)9783905674262

data sets of immense size are regularly generated on large scale computing resources. Even among more traditional methods for acquisition of volume data, such as MRI and CT scanners, data which is too large to be effectively visualized on standard workstations is now commonplace. One solution to this problem is to employ a 'visualization cluster,' a small to medium scale cluster dedicated to performing visualization and analysis of massive data sets generated on larger scale supercomputers. These clusters are designed to fit a different need than traditional supercomputers, and therefore their design mandates different hardware choices, such as increased memory, and more recently, graphics processing units (GPUs). While there has been much previous work on distributed memory visualization as well as GPU visualization, there is a relative dearth of algorithms which effectively use GPUs at a large scale in a distributed memory environment. In this work, we study a common visualization technique in a GPU-accelerated, distributed memory setting, and present performance characteristics when scaling to extremely large data sets. The Eurographics Association 2010.

关键词： Graphics processing unit

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Sketch-based 3D model retrieval using keyshapes for global and local representation

Sketch-based 3D model retrieval using keyshapes for global a...

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5th Eurographics Workshop on 3D Object Retrieval, EG 3DOR 2012

作者： Saavedra, J.M. Bustos, B. Schreck, T. Yoon, S. Scherer, M. KDW-PRISMA Research Group Department of Computer Science University of Chile Chile Data Analysis and Visualization Group University of Konstanz Germany Yonsei Institute of Convergence Technology Yonsei University Korea Republic of GRIS TU Darmstadt Germany

ISBN: (纸本)9783905674361

Since 3D models are becoming more popular, the need for effective methods capable of retrieving 3D models is becoming crucial. Current methods require an example 3D model as query. However, in many cases, such a query is not easy to get. An alternative is using a hand-drawn sketch as query. In this work, we present a new keyshape based approach named HKO-KASD for retrieving 3D models using rough sketches as queries. Our approach comprises two general steps. First, a global descriptor is used to determine the appropriate viewpoint for each model. Second, we apply a local matching process to determine the final ranking for an input sketch. To this end, we present a local descriptor capable of working with sketch representations. The global descriptors as well as the local descriptors rely on a set of keyshapes precomputed from 2D representations of 3D models and from the query sketch as well. We evaluate our method using the first-tier precision and compare it with current approaches (HELO, STELA). Our results show a significant increase in precision for many classes of 3D models. © The Eurographics Association 2012.

关键词： Self organizing maps

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Discrete sibson interpolation

Discrete sibson interpolation

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作者： Park, Sung W. Linsen, Lars Kreylos, Oliver Owens, John D. Hamann, Bernd IEEE Department of Computer Science University of California Davis CA 95616 Department of Mathematics and Computer Science Ernst-Maritz-Arndt-Universität Greifswald D-17487 Greifswald Germany University of California Davis Department of Mathematics and Computer Science Emst-Moritz-Amdt-Universität Greifswald Germany Department of Electrical and Computer Engineering University of California Davis Davis Institute of Data Analysis and Visualization University of California Davis Department of Computer Science

Natural neighbor interpolation methods, such as Sibson's method, are well-known schemes for multivariate data fitting and reconstruction. Despite its many desirable properties, Sibson's method is computationally expensive and difficult to implement, especially when applied to higher-dimensional data. The main reason for both problems is the method's implementation based on a Voronol diagram of all data points. We describe a discrete approach to evaluating Sibson's interpolant on a regular grid, based solely on finding nearest neighbors and rendering and blending d-dimensional spheres. Our approach does not require us to construct an explicit Voronoi diagram, is easily implemented using commodity three-dimensional graphics hardware, leads to a significant speed increase compared to traditional approaches, and generalizes easily to higher dimensions. For large scattered data sets, we achieve two dimensional (2D) interpolation at interactive rates and 3D interpolation (3D) with computation times of a few seconds. © 2006 IEEE.

关键词： Interpolation

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Concept transfer of synaptic diversity from biological to artificial neural networks

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Nature communications 2025年第1期16卷 5112页

作者： Martin Hofmann Moritz Franz Peter Becker Christian Tetzlaff Patrick Mäder Data-intensive Systems and Visualization Group (dAI.SY) Technische Universität Ilmenau Max-Planck-Ring 14 Ilmenau 98693 Thuringia Germany. martin.hofmann@tu-ilmenau.de. Group of Computational Synaptic Physiology Department for Neuro- and Sensory Physiology University Medical Center Göttingen Humboldtallee 23 Göttingen 37073 Lower Saxony Germany. Campus-Institut Data Science (CIDAS) University of Göttingen Goldschmidtstraße 1 Göttingen 37077 Lower Saxony Germany. Data-intensive Systems and Visualization Group (dAI.SY) Technische Universität Ilmenau Max-Planck-Ring 14 Ilmenau 98693 Thuringia Germany. German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig Deutscher Platz 5e Leipzig 04103 Saxony Germany. Faculty of Biological Sciences Friedrich Schiller University Fürstengraben 1 Jena 07745 Thuringia Germany.

Recent developments in artificial neural networks have drawn inspiration from biological neural networks, leveraging the concept of the artificial neuron to model the learning abilities of biological nerve cells. However, while neuroscience has provided new insights into the mechanisms of biological neural networks, only a limited number of these concepts have been directly applied to artificial neural networks, with no guarantee of improved performance. Here, we address the discrepancy between the inhomogeneous and dynamic structures of biological neural networks and the largely homogeneous and fixed topologies of artificial neural networks. Specifically, we demonstrate successful integration of concepts of synaptic diversity, including spontaneous spine remodeling, synaptic plasticity diversity, and multi-synaptic connectivity, into artificial neural networks. Our findings reveal increased learning speed, prediction accuracy, and resilience to gradient inversion attacks. Our publicly available drop-in replacement code enables easy incorporation of these proposed concepts into existing networks.

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Multi-path algorithm for triangle strips

Multi-path algorithm for triangle strips

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Computer Graphics International

作者： P. Vanecek I. Kolingerova Centre of Computer Graphics and Data Visualization Department of Computer Science and Engineering University of West Bohemia Pilsen Czech Republic

Triangle surface models belong to the most popular type of geometric objects description in computer graphics. Therefore, the problem of fast visualization of this type of data is often solved. One of popular approaches is stripification, i.e., a conversion of triangle surface into strips of triangles. This enables to reduce the rendering time by reduction data size and by avoiding of redundant lighting and transformations computations. In this paper we present a new stripification algorithm for static fully triangulated meshes. Our new algorithm is based on the dual graph of triangulation. The experimental results show that our stripification produces much lower number of triangle strips than other stripification algorithms (except one)

关键词： Strips Computer graphics data visualization Rendering (computer graphics) Costs Computer science data engineering Solid modeling Application software Computer aided manufacturing

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Improving A Bilingual Leaning Material in The Three-Dimensional Space Using Google Translate

Improving A Bilingual Leaning Material in The Three-Dimensio...

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International Conference on Cognitive Infocommunications (CogInfoCom)

作者： István Károly Boda Erzsébet Tóth László T. Nagy Department of Mathematics and Informatics Debrecen Reformed Theological University Debrecen Hungary Department of Data Science and Visualization University of Debrecen Debrecen Hungary

In our paper we introduce a bilingual language learning material based on the three dimensional virtual library model (3DVLM). This is an inherent part of the virtual library project started in 2013 in the framework of the Cognitive Infocommunications (CogInfoCom) research. The current version of the 3DVLM uses the 3D features and the hypertext-based presentation capabilities of the MaxWhere Seminar System. The latter is especially important because our material is based on web technology and organized so that it is going to be a scale-free network of interconnected nodes. First, we would like to provide a short overview on the virtual library in general, then introduce the organization and structure of the bilingual language learning material we have developed to support English language learning for Hungarian learners at an advanced level. The learning material is based on selected passages from classical literary works, presented both in English and in Hungarian, which we think may improve both English language skills and cultural awareness of language learners through the background knowledge they acquire. In order to check and test the bilingual language learning material we used the Google Translate service which proved to be a very efficient tool for both improving the learning material and deepening the language learning process.

关键词： Seminars Solid modeling Three-dimensional displays Semantics Learning (artificial intelligence) Organizations Syntactics

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Automatic tracing of mandibular canal pathways using deep learning

arXiv

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arXiv 2021年

作者： Dhar, Mrinal Kanti Yu, Zeyun Big Data Analytics and Visualization Laboratory Department of Computer Science University of Wisconsin-Milwaukee MilwaukeeWI United States

There is an increasing demand in medical industries to have automated systems for detection and localization which are manually inefficient otherwise. In dentistry, it bears great interest to trace the pathway of mandibular canals accurately. Proper localization of the position of the mandibular canals, which surrounds the inferior alveolar nerve (IAN), reduces the risk of damaging it during dental implantology. Manual detection of canal paths is not an efficient way in terms of time and labor. Here, we propose a deep learning-based framework to detect mandibular canals from CBCT data. It is a 3-stage process fully automatic end-to-end. Ground truths are generated in the preprocessing stage. Instead of using commonly used fixed diameter tubular-shaped ground truth, we generate centerlines of the mandibular canals and used them as ground truths in the training process. A 3D U-Net architecture is used for model training. An efficient post-processing stage is developed to rectify the initial prediction. The precision, recall, F1-score, and IoU are measured to analyze the voxel-level segmentation performance. However, to analyze the distance-based measurements, mean curve distance (MCD) both from ground truth to prediction and prediction to ground truth is calculated. Extensive experiments are conducted to demonstrate the effectiveness of the model. © 2021, CC BY-NC-SA.

关键词： Forecasting

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