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Classification supporting Covid-19 diagnostics based on patient survey data

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arXiv 2020年

作者： Henzela, Joanna Tobiasz, Joanna Kozielskia, Michal Bach, Malgorzata Foszner, Pawel Gruca, Aleksandra Kania, Mateusz Mika, Justyna Papiez, Anna Werner, Aleksandra Zyla, Joanna Jaroszewicz, Jerzy Polanska, Joanna Sikoraa, Marek Department of Computer Networks and Systems Silesian University of Technology Gliwice Poland Department of Data Science and Engineering Silesian University of Technology Gliwice Poland Department of Applied Informatics Silesian University of Technology Gliwice Poland Department of Graphics Computer Vision and Digital Systems Silesian University of Technology Gliwice Poland Department of Infectious Diseases and Hepatology Medical University of Silesia Katowice Poland

Distinguishing COVID-19 from other flu-like illnesses can be difficult due to ambiguous symptoms and still an initial experience of doctors. Whereas, it is crucial to filter out those sick patients who do not need to be tested for SARSCoV-2 infection, especially in the event of the overwhelming increase in disease. As a part of the presented research, logistic regression and XGBoost classifiers, that allow for effective screening of patients for COVID-19, were generated. Each of the methods was tuned to achieve an assumed acceptable threshold of negative predictive values during classification. Additionally, an explanation of the obtained classification models was presented. The explanation enables the users to understand what was the basis of the decision made by the model. The obtained classification models provided the basis for the DECODE service (***), which can serve as support in screening patients with COVID-19 disease. Moreover, the data set constituting the basis for the analyses performed is made available to the research community. This data set consisting of more than 3,000 examples is based on questionnaires collected at a hospital in Poland. Copyright © 2020, The Authors. All rights reserved.

关键词： Data visualization

The ZTF Source Classification Project: III. A Catalog of Variable Sources

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arXiv 2023年

作者： Healy, Brian F. Coughlin, Michael W. Mahabal, Ashish A. Laz, Theophile Jegou du Drake, Andrew Graham, Matthew J. Hillenbrand, Lynne A. van Roestel, Jan Szkody, Paula Zielske, LeighAnna Guiga, Mohammed Hassan, Muhammad Yusuf Hughes, Jill L. Nir, Guy Parikh, Saagar Park, Sungmin Purohit, Palak Rebbapragada, Umaa Reed, Draco Warshofsky, Daniel Wold, Avery Bloom, Joshua S. Masci, Frank J. Riddle, Reed Smith, Roger School of Physics and Astronomy University of Minnesota MinneapolisMN55455 United States Division of Physics Mathematics and Astronomy California Institute of Technology PasadenaCA91125 United States Center for Data Driven Discovery California Institute of Technology PasadenaCA91125 United States Department of Astronomy California Institute of Technology PasadenaCA91125 United States Anton Pannekoek Institute for Astronomy University of Amsterdam Amsterdam1090 GE Netherlands Department of Astronomy University of Washington SeattleWA98195 United States Department of Physics Pacific Lutheran University TacomaWA98447 United States Department of Computer Science and Engineering University of Minnesota MinneapolisMN55455 United States Department of Electrical Engineering Indian Institute of Technology Gandhinagar Gujarat 382055 India Department of Astronomy University of California BerkeleyCA94720 United States Lawrence Berkeley National Laboratory 1 Cyclotron Road MS 50B-4206 BerkeleyCA94720 United States Department of Electrical and Computer Engineering Carnegie Mellon University PittsburghPA15213 United States Computer Vision Imaging and Graphics Lab Indian Institute of Technology Gujarat Gandhinagar382055 India School of Statistics University of Minnesota MinneapolisMN55455 United States Division of Engineering and Applied Science California Institute of Technology PasadenaCA91125 United States Jet Propulsion Laboratory California Institute of Technology PasadenaCA91125 United States IPAC California Institute of Technology 1200 E. California Blvd. PasadenaCA91125 United States Caltech Optical Observatories California Institute of Technology PasadenaCA91125 United States

The classification of variable objects provides insight into a wide variety of astrophysics ranging from stellar interiors to galactic nuclei. The Zwicky Transient Facility (ZTF) provides time-series observations that record the variability of more than a billion sources. The scale of these data necessitates automated approaches to make a thorough analysis. Building on previous work, this paper reports the results of the ZTF Source Classification Project (SCoPe), which trains neural network and XGBoost machine-learning (ML) algorithms to perform dichotomous classification of variable ZTF sources using a manually constructed training set containing 170,632 light curves. We find that several classifiers achieve high precision and recall scores, suggesting the reliability of their predictions for 209,991,147 light curves across 77 ZTF fields. We also identify the most important features for XGB classification and compare the performance of the two ML algorithms, finding a pattern of higher precision among XGB classifiers. The resulting classification catalog is available to the public, and the software developed for SCoPe is open-source and adaptable to future time-domain surveys. Copyright © 2023, The Authors. All rights reserved.

关键词： Classification (of information)

An Over view on intuitionistic fuzzy topological spaces

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Journal of Physics: Conference Series 2021年第1期1752卷

作者： M Abdy S Zenin Irwan Department of Mathematics FMIPA Universitas Negeri Makassar Indonesia Department of Mathematics with Computer Graphics Faculty of Science and Natural Resources Universiti Malaysia Sabah Malaysia

We present a brief overview some fundamental results on the intuitionistic fuzzy topological spaces, and give some introductory results about fuzzy open set, fuzzy closed set, fuzzy neighborhood, fuzzy interior set, f...

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Improved Upper Bounds on the Growth Constants of Polyominoes and Polycubes

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arXiv 2019年

作者： Barequet, Gill Shalah, Mira Center for Graphics Geometric Computing Computer Science Department Technion—Israel Institute of Technology Haifa3200003 Israel Computer Science Department Stanford University CA United States

A d-dimensional polycube is a facet-connected set of cells (cubes) on the d-dimensional cubical lattice Zd. Let Ad(n) denote the number of d-dimensional polycubes (distinct up to translations) with n cubes, and λd denote the limit of the ratio Ad(n+1)/Ad(n) as n → ∞. The exact value of λd is still unknown rigorously for any dimension d ≥ 2;the asymptotics of λd, as d → ∞, also remained elusive as of today. In this paper, we revisit and extend the approach presented by Klarner and Rivest in 1973 to bound A2(n) from above. Our contributions are: • Using available computing power, we prove that λ2 ≤ 4.5252. This is the first improvement of the upper bound on λ2 in almost half a century;• We prove that λd ≤ (2d−2)e+o(1) for any value of d ≥ 2, using a novel construction of a rational generating function which dominates that of the sequence (Ad(n));• For d = 3, this provides a subtantial improvement of the upper bound on λ3 from 12.2071 to 9.8073;• However, we implement an iterative process in three dimensions, which improves further the upper bound on λ3 to 9.3835;Copyright © 2019, The Authors. All rights reserved.

关键词： Rational functions

Library pruning for power saving during timing and electrical design rules optimization

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Library pruning for power saving during timing and electrica...

International Conference on Advanced Intelligent Systems for Sustainable Development, AI2SD 2018

作者： Chentouf, Mohamed Cherif, Lekbir El Abidine Alaoui Ismaili, Zine ICDS Department Mentor Graphics Rabat Morocco Laboratory of Systems Engineering ENSA Ibn Tofail University Kénitra Morocco Team National Superior School of Computer Science and System Analysis University Mohammed V Rabat Morocco

ISBN: (纸本)9783030120641

Timing optimization techniques are widely used to meet the frequency and electrical design rules requirement of integrated circuits, they use logical and physical transformation to speed up the problematic signals and to close the design setup and hold constraints. On the other side, each technique induces a power increase as a cost for signal speed up. In this paper, we propose a standard cell library tuning methodology to reduce the timing optimization impact on power increase. We divide each optimization step of the place and route process into two sub-steps, the first one uses only low power standard library cells and try to correct the maximum number of violations, and the second uses all the available cells in the library to close the remaining violations. Experimental results on 45 industrial designs of different processes show that the proposed methodology provides a leakage power reduction of 5%, a total power reduction of 1.3% and a timing improvement of 55.8% in Total Negative Slack and 37.5% in Worst Negative Slack. © Springer Nature Switzerland AG 2019.

关键词： System-on-chip

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

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

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

Design and Development of a Robotic Vehicle for Shallow-Water Marine Inspections

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arXiv 2020年

作者： Tarwadi, Parag Shiraki, Yuta Ganoni, Ori Wei, Shanghai Ahn, Ho Seok MacDonald, Bruce Centre for Automation and Robotic Engineering Science University of Auckland Auckland New Zealand School of Science and Engineering Ritsumeikan University Shiga Japan Computer Graphics and Image Processing Group University of Canterbury Christchurch New Zealand Department of Chemical and Materials Engineering University of Auckland Auckland New Zealand

Underwater marine inspections for ship hull or marine debris, etc. are one of the vital measures carried out to ensure the safety of marine structures and underwater species. This work details the design, development and qualification of a compact and economical observation class Remotely Operated Vehicle (ROV) prototype, intended for carrying out scientific research in shallow-waters. The ROV has a real-time processor and controller onboard, which synchronizes the movement of the vehicle based on the commands from the surface station. The vehicle piloting is done using the onboard Raspberry pi camera and the support of some navigation sensors like Global Positioning System (GPS), inertial, temperature, depth and pressure. This prototype of ROV is a compact unit built using a limited number of components and is suitable for underwater inspection using a single camera. The developed ROV is initially tested in a pool. Copyright © 2020, The Authors. All rights reserved.

关键词： Hulls (ship)

Design and development of a robotic vehicle for shallow-water marine inspections

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Design and development of a robotic vehicle for shallow-wate...

Australasian Conference on Robotics and Automation 2019, ACRA 2019

Underwater marine inspections for ship hull or marine debris, etc. are one of the vital measures carried out to ensure the safety of marine structures and underwater species. This work details the design, development and qualification of a compact and economical observation class Remotely Operated Vehicle (ROV) prototype, intended for carrying out scientific research in shallow-waters. The ROV has a real-time processor and controller onboard, which synchronizes the movement of the vehicle based on the commands from the surface station. The vehicle piloting is done using the onboard Raspberry pi camera and the support of some navigation sensors like Global Positioning System (GPS), inertial, temperature, depth and pressure. This prototype of ROV is a compact unit built using a limited number of components and is suitable for underwater inspection using a single camera. The developed ROV is initially tested in a pool. © 2019 Australasian Robotics and Automation Association. All rights reserved.

关键词： Remotely operated vehicles

Increasing Student Interests in Power Engineering by 3dsMax and Unity3D

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Increasing Student Interests in Power Engineering by 3dsMax ...

International Conference on Computational science and Computational Intelligence (CSCI)

作者： Sixuan Duan Yao Xu Ying Luo Zhipeng Huang Department of Electrical and Computer Engineering Purdue University Northwest Hammond IN USA Department of Computer Information Technology and Graphics Purdue University Northwest Hammond IN USA Department of Electrical Engineering and Computer Science Toledo University Toledo Ohio USA

ISBN: (数字)9781728155845

ISBN: (纸本)9781728155852

This research paper introduces a new learning tool to increase student interests in power engineering. Insufficient visualization of the real power system operation and boring theory knowledge cause a general lack of interest in power systems. This paper realized the design of 3D virtual power system using 3ds Max and Unity3D software. Microgrid system, one significant example of a power system, is selected to demonstrate the 3D visualization. The built 3D visualization of microgrid can vividly show the details and function of each component in the Microgrid. Therefore, it can greatly increase students' enthusiasm for learning the power engineering. Moreover, the first time application of Unity3D in the microgrid system laid the foundation for the feasibility of virtual technology in the application of engineering education to further attract more students in all engineering areas.

关键词： Three-dimensional displays Microgrids Visualization Software Power engineering Wind turbines