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Iberian Conference on Information Systems and Technologies (CISTI)

作者： Miguel Casquilho Elisabete A. Carolino André Espírito Santo Sandro Carvalho João Luís de Miranda João M. Bordado Department of Chemical Engineering IST Universidade de Lisboa (University of Lisbon) and CERENA Centro de Recursos Naturais e Ambiente (“Centre for Natural Resources and the Environment”) Ave. Rovisco Pais IST South Tower (Bldg. 20) Lisboa (Lisbon) Portugal H&TRC- Health & Technology Research Center ESTeSL- Escola Superior de Tecnologia da Saúde Instituto Politécnico de Lisboa (Polytechnic Institute of Lisbon) Ave. Dom João II lote 4.69.01 Parque das Nações Lisboa (Lisbon) Portugal Dept. of Computer Science and Eng.ing IST Universidade de Lisboa Ave. Rovisco Pais IST Bldg. 09 (Computer Science) Lisboa (Lisbon) Portugal Polytechnic Institute of Cávado and Ave (IPCA) Applied Artificial Intelligence Laboratory (2AI) and Laboratório de Inteligência Artificial e Ciência de Computadores (LIACC) Barcelos Portugal Polytechnic Institute of Portalegre and CERENA Campus Politécnico 10 Portalegre Dept. of Chemical Eng.ing IST Universidade de Lisboa and CERENA Ave. Rovisco Pais IST South Tower (Bldg. 20) Lisboa (Lisbon) Portugal

Quality is nowadays a ubiquitous component in manufacture and many other activities. We present a computation related to Acceptance Sampling, which, together with Statistical Process Control, makes the fundamentals of statistical Quality Control. We provide a webpage where a user’s typical sample from a process can be inserted, leading to “accept” or “reject” vs. given specifications. We have several goals: to offer, on a webpage, the statistical procedure computation, which is otherwise complex; to combine, on a Linux platform, programming languages, PHP and Python, and a graphical utility, gnuplot; and to stress the suggestion of the Web as a computing medium. The webpage is freely accessible to a user just by means of a browser, i.e., installing no software, thus needing no special power or matching operating system, this being an example adaptable to many other problems. The study also draws attention both to the use of the Web for scientific computing, and to the convenience of this use in scientific publications. Web-based computing in general is advocated, this route using the same executable programs as classical computing, which is the core technical difficulty. In our technological era, this still insufficiently explored approach is here made accessible, inviting the sharing between academia and industry.

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Application of a kernel method with stably evaluated Gaussian kernel to problems on irregular domains

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AIP Conference Proceedings 2021年第1期2343卷

作者： Artur Krowiak Renata Filipowska Institute of Computer Science Cracow University of Technology Al. Jana Pawla II 37 31-864 Kraków Poland

The paper extends recently developed idea of stable evaluation of the Gaussian kernel. Owing to this, the Gaussian radial basis function that is sensitive to the shape parameter can be stably evaluated and applied to interpolation problems as well as to solve differential equations, giving highly accurate results. But it can be done only with grids being the Cartesian product of sets of points, what limits the use of this idea to rectangular domains. In the present paper, by the association of an appropriate transformation with the mentioned method, the latter is applied to solve differential equations on quadrilateral irregular domains. As an example a biharmonic problem is taken into consideration. The numerical tests show high accuracy and usefulness of the method..

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ConceptExplorer: Visual Analysis of Concept Drifts in Multi-source Time-series Data

ConceptExplorer: Visual Analysis of Concept Drifts in Multi-...

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IEEE Symposium on Visual Analytics science and Technology (VAST)

作者： Xumeng Wang Wei Chen Jiazhi Xia Zexian Chen Dongshi Xu Xiangyang Wu Mingliang Xu Tobias Schreck State Key Lab of CAD&CG Zhejiang University School of Computer Science and Engineering Central South University College of Information Engineering China Jiliang University Institute of Graphics and Image Hangzhou Dianzi University Zhengzhou University Graz University of Technology

ISBN: (数字)9781728180090

ISBN: (纸本)9781728180106

Time-series data is widely studied in various scenarios, like weather forecast, stock market, customer behavior analysis. To comprehensively learn about the dynamic environments, it is necessary to comprehend features from multiple data sources. This paper proposes a novel visual analysis approach for detecting and analyzing concept drifts from multi-sourced time-series. We propose a visual detection scheme for discovering concept drifts from multiple sourced time-series based on prediction models. We design a drift level index to depict the dynamics, and a consistency judgment model to justify whether the concept drifts from various sources are consistent. Our integrated visual interface, ConceptExplorer, facilitates visual exploration, extraction, understanding, and comparison of concepts and concept drifts from multi-source time-series data. We conduct three case studies and expert interviews to verify the effectiveness of our approach.

关键词： Predictive models Data visualization Data models Adaptation models Indexes Analytical models Visual analytics

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Detection of the Low Energy Recoil 3He in the Reaction 2H(8He,3He)7H

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Bulletin of the Russian Academy of sciences: Physics 2020年第4期84卷 500-504页

作者： Muzalevskii, I.A. Chudoba, V. Belogurov, S.G. Bezbakh, A.A. Biare, D. Fomichev, A.S. Krupko, S.A. Gazeeva, E.M. Golovkov, M.S. Gorshkov, A.V. Grigorenko, L.V. Kaminski, G. Kiselev, O. Kostyleva, D.A. Kozlov, M. Yu. Mauyey, B. Mukha, I. Nikolskii, E. Yu. Parfenova, Yu. L. Piatek, W. Quynh, A.M. Schetinin, V.N. Serikov, A. Sidorchuk, S.I. Sharov, P.G. Slepnev, R.S. Stepantsov, S.V. Swiercz, A. Szymkiewicz, P. Ter-Akopian, G.M. Wolski, R. Zalewski, B. Flerov Laboratory of Nuclear Reactions Joint Institute for Nuclear Research DubnaMoscow oblast141980 Russia Institute of Physics Silesian University in Opava Opava74601 Czech Republic Institute for Theoretical and Experimental Physics National Research Centre "Kurchatov Institute" Moscow117218 Russia National Research Nuclear University "MEPhI" Moscow115409 Russia Dubna State University DubnaMoscow oblast141982 Russia National Research Centre "Kurchatov Institute" Moscow123182 Russia Heavy Ion Laboratory University of Warsaw Warsaw02-093 Poland GSI Helmholtz Center for Heavy Ion Research Darmstadt64291 Germany II. Institute of Physics Justus Liebig University Giessen35392 Germany Laboratory of Information Technologies Joint Institute for Nuclear Research DubnaMoscow oblast141980 Russia Nuclear Research Institute Dalat670000 Viet Nam Faculty of Physics and Applied Computer Science AGH University of Science and Technology Krakow30-059 Poland Institute of Nuclear Physics Polish Academy of Sciences Krakow31342 Poland Institute of Nuclear Physics Almaty050032 Kazakhstan

Abstract: Investigation of the 7H-system in the experiment conducted at the fragment separator ACCULINNA-2 in the 8He(2H,3He)7H reaction requires to detect the recoil 3He ions with energy down to 6 MeV. For this purpose two ∆ E-E particle telescopes are used, with each telescope having in front a thin (20-μm) Si strip detector (∆E-SSD). The maps of thickness heterogeneity of the thin detectors were determined by measuring the energy losses of the 226Ra α-particles. The adopted thickness normalization method provides a good identification of the 3He nuclei being recorded in the presence of a high 4He background. Two approaches were used for calculating the energy losses of the identified 3He and 4He reaction ejectiles and reconstructing their energy values available at the exit from the deuterium target. The developed techniques were applied for the 7H missing-mass reconstruction. © 2020, Allerton Press, Inc.

关键词： Energy dissipation

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Effects of anisotropic pressure on interacting quark star structure

arXiv

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arXiv 2023年

作者： Pretel, Juan M.Z. Tangphati, Takol Banerjee, Ayan Pradhan, Anirudh Centro Brasileiro de Pesquisas Físicas Rua Dr. Xavier Sigaud 150 URCA RJ CEP Rio de Janeiro22290-180 Brazil Grupo de investigación "Gravitación Cosmología Campos y Cuerdas" Universidad Nacional de Trujillo Departamento de Física Ciudad Universitaria Av. Juan Pablo II S/N La Libertad Trujillo Peru School of Science Walailak University Thasala Nakhon Si Thammarat80160 Thailand Astrophysics and Cosmology Research Unit School of Mathematics Statistics and Computer Science University of KwaZulu–Natal Private Bag X54001 Durban4000 South Africa Department of Mathematics Institute of Applied Sciences and Humanities GLA University Uttar Pradesh Mathura281 406 India

Perturbative Quantum Chromodynamics (pQCD) corrections and color superconductivity predict that strongly interacting matter can reveal new physical phenomena under extreme conditions. Taking into account these interaction effects, we investigate the role of anisotropic pressure in quark stars composed of interacting quark matter. Adopting two physically well-motivated anisotropy profiles, we numerically solve the stellar structure equations in order to explore the consequences of anisotropic pressure on various macroscopic properties such as radius, gravitational mass, surface redshift, moment of inertia, tidal Love number and oscillation spectrum. Remarkably, for both anisotropy models, negative anisotropies increase the radial stability of interacting quark stars, while the opposite occurs for positive anisotropies. However, for the Bowers-Liang profile, the central density corresponding to the maximum-mass point does not coincide with the central density where the squared oscillation frequency vanishes, indicating that the existence of stable anisotropic interacting quark stars is possible beyond the maximum mass for negative anisotropies. Additionally, we compare our theoretical predictions with several observational mass-radius measurements and tidal deformability constraints, which suggest that both strong interaction effects and anisotropy effects play a crucial role in describing compact stars observed in the Universe. Copyright © 2023, The Authors. All rights reserved.

关键词： Anisotropy

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SHREC'19 track: Extended 2D scene sketch-based 3D scene retrieval 12

SHREC'19 track: Extended 2D scene sketch-based 3D scene retr...

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12th Eurographics Workshop on 3D Object Retrieval, 3DOR 2019, in conjunction with the 40th Annual Conference of the European Association for computer graphics, EG 2019

作者： Yuan, Juefei Abdul-Rashid, Hameed Li, Bo Lu, Yijuan Schreck, Tobias Bui, Ngoc-Minh Do, Trong-Le Nguyen, Khac-Tuan Nguyen, Thanh-An Nguyen, Vinh-Tiep Tran, Minh-Triet Wang, Tianyang School of Computing Sciences and Computer Engineering University of Southern Mississippi United States Department of Computer Science Texas State University United States Institute of Computer Graphics and Knowledge Visualization Graz University of Technology Austria Faculty of Information Technology Vietnam National University Ho Chi Minh City Viet Nam Software Engineering Lab Vietnam National University Ho Chi Minh City Viet Nam University of Information Technology Vietnam National University Ho Chi Minh City Viet Nam Department of Computer Science and Information Technology Austin Peay State University United States

ISBN: (纸本)9783038680772

Sketch-based 3D scene retrieval is to retrieve 3D scene models given a user's hand-drawn 2D scene sketch. It is a brand new but also very challenging research topic in the field of 3D object retrieval due to the semantic gap in their representations: 3D scene models or views differ from non-realistic 2D scene sketches. To boost this interesting research, we organized a 2D Scene Sketch-Based 3D Scene Retrieval track in SHREC'18, resulting a SceneSBR18 benchmark which contains 10 scene classes. In order to make it more comprehensive, we have extended the number of the scene categories from the initial 10 classes in the SceneSBR2018 benchmark to 30 classes, resulting in a new and more challenging benchmark SceneSBR2019 which has 750 2D scene sketches and 3,000 3D scene models. Therefore, the objective of this track is to further evaluate the performance and scalability of different 2D scene sketch-based 3D scene model retrieval algorithms using this extended and more comprehensive new benchmark. In this track, two groups from USA and Vietnam have successfully submitted 4 runs. Based on 7 commonly used retrieval metrics, we evaluate their retrieval performance. We have also conducted a comprehensive analysis and discussion of these methods and proposed several future research directions to deal with this challenging research topic. Deep learning techniques have been proved their great potentials again in dealing with this challenging retrieval task, in terms of both retrieval accuracy and scalability to a larger dataset. We hope this publicly available benchmark, together with its evaluation results and source code, will further enrich and promote 2D scene sketch-based 3D scene retrieval research area and its corresponding applications. © 2019 The Author(s)

关键词： Scalability

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Visualization of Traffic Sign Related Rules Used in Road Environment-type Detection*

Visualization of Traffic Sign Related Rules Used in Road Env...

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Modern Safety Technologies in Transportation (MOSATT)

作者： Z. Fazekas G. Balázs A. Boulmakoul P. Gáspár Institute for Computer Science and Control (SZTAKI) Budapest Hungary Zukunft Mobility GmbH Kösching Germany Computer Science Department Hassan II Casablanca University Morocco

ISBN: (纸本)9781728150840

A heuristic rule-based approach was proposed in a recent paper for the detection of the urban road environment-type (RET), such as downtown, residential area, and business/industrial area, that characterizes the road environment around an ego-car. The RET detection approach takes into account the relevant traffic signs (TSs) that are visible from the ego-car. It is assumed that the TS data, namely the type and the location of each detected TS along the route, is made available for the purpose by an on-board TS recognition system. The continually updated TS data is aggregated and evaluated in a multi-scale manner by the RET detection system. In the present paper, the heuristic rules - employed within the mentioned system - that handle the competition situations arising between the RET-candidates selected for and representing the various distance-scales are visualized in a vividly descriptive manner. The visualization of the rules makes the decision process easier to understand, furthermore, it facilitates the re-use, the adaptation and the extension of the rule-set for other road-related applications that rely on TS and possibly on other road-related data. A summary of the RET detection results from the mentioned paper is included herein to make the paper self-contained.

关键词： Roads graphics Green products Automobiles Urban areas Data collection

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Evaluating Spatial Configuration Constrained CNNs for Localizing Facial and Body Pose Landmarks

Evaluating Spatial Configuration Constrained CNNs for Locali...

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International Conference on Image and Vision Computing New Zealand, IVCNZ

作者： Christian Payer Darko Štern Martin Urschler Institute of Computer Graphics and Vision Graz University of Technology Graz Austria Ludwig Boltzmann Institute for Clinical Forensic Imaging Graz Austria School of Computer Science The University of Auckland Auckland New Zealand

Landmark localization is a widely used task required in medical image analysis and computer vision applications. Formulated in a heatmap regression framework, we have recently proposed a CNN architecture that learns on its own to split the localization task into two simpler sub-problems, dedicating one component to locally accurate but ambiguous predictions, while the other component improves robustness by incorporating the spatial configuration of landmarks to remove ambiguities. We learn this simplification in our SpatialConfiguration-Net (SCN) by multiplying the heatmap predictions of its two components and by training the network in and end-to-end manner, thus achieving regularization similar to e.g. a hand-crafted Markov Random Field model. While we have previously shown localization results solely on data from 2D and 3D medical imaging modalities, in this work our aim is to study the generalization capabilities of our SpatialConfiguration-Net to computer vision problems. Therefore, we evaluate our performance both in terms of accuracy and robustness on a facial alignment task, where we improve upon the state-of-the-art methods, as well as on a human body pose estimation task, where we demonstrate results in line with the recent state-of-the-art.

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Automatic reconstruction of fully volumetric 3D building models from point clouds

arXiv

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arXiv 2019年

作者： Ochmann, Sebastian Vock, Richard Klein, Reinhard University of Bonn Institute of Computer Science II Endenicher Allee 19a Bonn53115 Germany

We present a novel method for reconstructing parametric, volumetric, multi-story building models from unstructured, unfiltered indoor point clouds by means of solving an integer linear optimization problem. Our approach overcomes limitations of previous methods in several ways: First, we drop assumptions about the input data such as the availability of separate scans as an initial room segmentation. Instead, a fully automatic room segmentation and outlier removal is performed on the unstructured point clouds. Second, restricting the solution space of our optimization approach to arrangements of volumetric wall entities representing the structure of a building enforces a consistent model of volumetric, interconnected walls fitted to the observed data instead of unconnected, paper-thin surfaces. Third, we formulate the optimization as an integer linear programming problem which allows for an exact solution instead of the approximations achieved with most previous techniques. Lastly, our optimization approach is designed to incorporate hard constraints which were difficult or even impossible to integrate before. We evaluate and demonstrate the capabilities of our proposed approach on a variety of complex real-world point clouds. Copyright © 2019, The Authors. All rights reserved.

关键词： Walls (structural partitions)

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Ortho-unit polygons can be guarded with at most ⌊n−84 ⌋ guards

arXiv

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arXiv 2022年

作者： Díaz-Báñez, J.M. Horn, P. Lopez, M.A. Marín, N. Ramírez-Vigueras, A. Solé-Pi, O. Stevens, A. Urrutia, J. Departamento de Matemática Aplicada II Universidad de Sevilla Spain Department of Mathematics University of Denver United States Department of Computer Science University of Denver United States Departamento de Ciencias de la Computación Centro de Investigación Científica y de Educación Superior de Ensenada Baja California Mexico Instituto de Matemáticas UNAM Mexico Department of Mathematics Massachusetts Institute of Technology United States Instituto de Matemáticas Universidad Nacional Autónoma de México Mexico

An orthogonal polygon is called an ortho-unit polygon if its vertices have integer coordinates, and all of its edges have length one. In this paper we prove that any ortho-unit polygon with n ≥ 12 vertices can be gua... 详细信息

关键词： Geometry

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