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5th International Conference on Mechanical, Control and computer Engineering (ICMCCE)

作者： Hong, Huang Hai Yu Yingzi Jingdezhen Ceram Inst Coll Technol & Art Jingdezhen Peoples R China

ISBN: (纸本)9781665423144

Firstly, this paper briefly introduces computer-aided Rhino software. Then it expounds the application of Rhino software in ceramic art design teaching, including the application of 3D printing in ceramics, 3 D modeling in ceramics and 2 D plane graphics in ceramics. Finally, it elaborates the advantages of Rhino in ceramic art teaching, including developing ceramic art design thinking, combining theory with practice, improving ceramic art teaching effect and enhancing students' interest in learning, in order to make ceramic art design related personnel pay attention to Rhino in ceramic art design process, which is conducive to improving ceramic art design teaching effect.

关键词： computer Rhino ceramics art design teaching

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Simulation research on microscopic remaining oil distribution in high water cut oilfield 6

Simulation research on microscopic remaining oil distributio...

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6th International Conference on Advances in Energy Resources and Environment Engineering (ICAESEE)

作者： Pan, Shaowei Wang, Zhaoyang Luo, Haining Xian Shiyou Univ Sch Comp Sci Xian 710065 Shaanxi Peoples R China PetroChina Res Inst Explorat & Dev Tarim Oilfield Co Korla 841000 Xinjiang Peoples R China

Most of the oilfields in China have entered the stage of high water cut nowadays, and it is very difficult to enhance oil recovery in these oilfields. In this paper, combined with the image processing technology, the visualization technology of 3D data field and the seepage mechanics theory, a simulation model on microscopic remaining oil distribution has been constructed. After that, the remaining oil distribution of a high water cut oilfield in south China in three different microscopic pore throat networks, namely big pore and coarse throat, medium pore and medium throat and small pore and fine throat, was simulated. Through the simulation results, the conclusions are drawn: compared with the small pore and fine throat network, the development resistance of oil in the big pore and coarse throat network and the medium pore and medium throat network is smaller under the same water-flooding development conditions;compared with the big pore and coarse throat network, the development resistance of oil in the medium pore and medium throat network is larger, which leads to more remaining oil left. The simulation on microscopic remaining oil distribution is of great significance for enhancing oil recovery in high water cut oilfields of China.

关键词： Three dimensional computer graphics

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Mario Plays on a Manifold: Generating Functional Content in Latent Space through Differential Geometry

Mario Plays on a Manifold: Generating Functional Content in ...

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IEEE Symposium on Computational Intelligence and Games, CIG

作者： Miguel González-Duque Rasmus Berg Palm Søren Hauberg Sebastian Risi Creative AI Lab IT University of Copenhagen Cognitive Systems Technical University of Denmark modl.ai Denmark

ISBN: (数字)9781665459891

ISBN: (纸本)9781665459907

Deep generative models can automatically create content of diverse types. However, there are no guarantees that such content will satisfy the criteria necessary to present it to end-users and be functional, e.g. the generated levels could be unsolvable or incoherent. In this paper we study this problem from a geometric perspective, and provide a method for reliable interpolation and random walks in the latent spaces of Categorical VAEs based on Riemannian geometry. We test our method with “Super Mario Bros” and “The Legend of Zelda” levels, and against simpler baselines inspired by current practice. Results show that the geometry we propose is better able to interpolate and sample, reliably staying closer to parts of the latent space that decode to playable content.

关键词： Geometry Measurement Manifolds Interpolation Games Reliability theory Rendering (computer graphics)

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Application and Research of Modular Dynamic Graphic Design Technology in practice

Application and Research of Modular Dynamic Graphic Design T...

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2020 IEEE International Conference on Power, Intelligent Computing and Systems, ICPICS 2020

作者： Yu, Ying Di, Miaosen School of Shenyang Jianzhu University Shenyang110168 China

ISBN: (数字)9781728198743

ISBN: (纸本)9781728198736

This article comprehensively uses the theory and technology of visualization technology, pattern recognition technology, human-computer interaction, computer graphics, and graphic design technology to do in-depth research on the principle and implementation method of circuit graphic design based on dynamic modular interactive whiteboard Through the modular design idea and dynamic link library technology, the interface of SMART interactive whiteboard and AutoCAD is studied, and the interactive operation of the two is realized. The combination of the visualization technology, pattern recognition technology and computer automatic processing function of the interactive electronic whiteboard and the practical experience and creative thinking of the engineers will surely further improve the work efficiency and quality of railway line design. Therefore, the related research on the principle and implementation technology of railway line graphic design based on interactive electronic whiteboard is of great significance. © 2020 IEEE.

关键词： Human computer interaction

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Development of a Training Framework for Novel Accelerators

Development of a Training Framework for Novel Accelerators

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Frontiers in Education (FIE) Conference

作者： Zhenhua He Sandra Nite Joshua Winchell Abhinand Nasari Hieu Le Jiao Tao Dhruva Chakravorty Lisa Perez Honggao Liu High Performance Research Computing Texas A&M University College Station TX USA Department of Electrical and Computer Engineering Texas A&M University College Station TX USA Department of Visualization Texas A&M University College Station TX USA

In recent years, accelerators such as graphics Processing Units (GPUs), Field Programmable Gate Arrays (FPGAs), and Intelligence Processing Units (IPUs) have played a dominant role in speeding up workflows in science and engineering. They provide significant increases in computing power, but scientists need to learn how to effectively use these accelerators. To assist researchers, a training framework, called “Technology Laboratories”, was developed. The Technology Laboratories approach builds on situated learning and constructivism by introducing researchers to new computing concepts by scaffolding with existing knowledge of computing resources like GPUs and Jupyter Notebooks. In this approach, researchers are introduced to the newer computing methods by employing accelerators and interactive technologies familiar to them. The first iteration of the training framework was used to teach researchers how to use different methods of artificial intelligence and machine learning (AI/ML) through exercises built on familiar computing environments. New accelerator technologies like IPUs have focused on employing these AI/ML techniques, presenting an opportunity to now teach new computing accelerators using AI/ML models as the familiar computing method. Lave and Wenger's model of situated learning through a community of practice is appropriate for this learning. Additionally, Jerome Bruner's constructivist theory is part of the model as researchers are also required to construct their own knowledge about transforming their code and learning to adapt to a new type of hardware as they work through the individual characteristics of their code and research area. In this paper, we demonstrate the success of our training framework in using AI/ML methods to teach researchers about IPUs. We attracted interested participants from all over the United States, and they were able to complete hands-on exercises and run code on IPUs. We also had in-depth discussions with participants about

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Boolean and Fp-Matrix Factorization: From theory to practice

arXiv

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arXiv 2022年

作者： Fomin, Fedor Panolan, Fahad Patil, Anurag Tanveer, Adil Department of Informatics University of Bergen Norway Department of Computer Science and Engineering IIT Hyderabad India EdgeVerve Systems Limited Bengaluru India Amazon Chennai India

Boolean Matrix Factorization (BMF) aims to find an approximation of a given binary matrix as the Boolean product of two low-rank binary matrices. Binary data is ubiquitous in many fields, and representing data by binary matrices is common in medicine, natural language processing, bioinformatics, computer graphics, among many others. Factorizing a matrix into low-rank matrices is used to gain more information about the data, like discovering relationships between the features and samples, roles and users, topics and articles, etc. In many applications, the binary nature of the factor matrices could enormously increase the interpretability of the data. Unfortunately, BMF is computationally hard and heuristic algorithms are used to compute Boolean factorizations. Very recently, the theoretical breakthrough was obtained independently by two research groups. Ban et al. (SODA 2019) and Fomin et al. (Trans. Algorithms 2020) show that BMF admits an efficient polynomial-time approximation scheme (EPTAS). However, despite the theoretical importance, the high double-exponential dependence of the running times from the rank makes these algorithms unimplementable in practice. The primary research question motivating our work is whether the theoretical advances on BMF could lead to practical algorithms. The main conceptional contribution of our work is the following. While EPTAS for BMF is a purely theoretical advance, the general approach behind these algorithms could serve as the basis in designing better heuristics. We also use this strategy to develop new algorithms for related Fp-Matrix Factorization. Here, given a matrix A over a finite field GF(p) where p is a prime, and an integer r, our objective is to find a matrix B over the same field with GF(p)-rank at most r minimizing some norm of A − B. Our empirical research on synthetic and real-world data demonstrates the advantage of the new algorithms over previous works on BMF and Fp-Matrix Factorization. © 2022, CC BY.

关键词： Polynomial approximation

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Ideas That Created the Future: Classic Papers of computer Science

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2020年

ISBN: (数字)9780262363174

Classic papers by thinkers ranging from Aristotle and Leibniz to Norbert Wiener and Gordon Moore that chart the evolution of computer *** That Created the Future collects forty-six classic papers in computer science that map the evolution of the field. It covers all aspects of computer science: theory and practice, architectures and algorithms, and logic and software systems, with an emphasis on the period of 1936–1980 but also including important earlier work. Offering papers by thinkers ranging from Aristotle and Leibniz to Alan Turing and Nobert Wiener, the book documents the discoveries and inventions that created today"s digital world. A brief essay by volume editor Harry Lewis, offering historical and intellectual context, accompanies each *** will learn that we owe to Aristotle the realization that fixed rules of logic can apply to different phenomena—that logic provides a general framework for reasoning—and that Leibniz recognized the merits of binary notation. They can read Ada Lovelace"s notes on L. F. Menabrea"s sketch of an analytical engine, George Boole"s attempt to capture the rules of reason in mathematical form, David Hilbert"s famous 1900 address, “Mathematical Problems,” and Alan Turing"s illumination of a metamathematical world. Later papers document the “Cambrian era” of 1950s computer design, Maurice Wilkes"s invention of microcode, Grace Hopper"s vision of a computer"s “education,” Ivan Sutherland"s invention of computer graphics at MIT, Whitfield Diffie and Martin Hellman"s pioneering work on encryption, and much more. Lewis"s guided tour of a burgeoning field is especially welcome at a time when computer education is increasingly specialized.

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A Research for Reconstructing 3D Object by Using an RGB-D Camera 7th

A Research for Reconstructing 3D Object by Using an RGB-D Ca...

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7th International Conference on Frontiers of Intelligent Computing: theory and Applications, FICTA 2018

作者： Nguyen, Van Sinh Tran, Manh Ha Le, Quang Minh Anh School of Computer Science and Engineering International University of HCMC Ho Chi Minh City Viet Nam

ISBN: (纸本)9789811399190

Reconstruction of 3D objects and their application in practice is more and more studying. The input data are acquired from different devices and techniques. They are processed based on geometric modeling, image processing techniques, and computer graphics. The output data are 3D models that represent their initial shapes of the real-world objects. This paper presents research for reconstructing the 3D objects by using an RGB-D camera. The main contribution of the paper includes studying and analyzing several methods to reconstruct a 3D object from a set of 3D point clouds acquired from different devices. Our proposed method is then performed based on a combination of geometric modeling and images processing to build a 3D model of an object from a set of noisy 3D point clouds. We have also implemented and compared obtained results between the methods to determine the most suitable in term of precision and robustness on noisy real data captured by the Microsoft Kinect. © Springer Nature Singapore Pte Ltd. 2020.

关键词： Cameras

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Spherical optimal transportation

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computer-AIDED DESIGN 2019年 115卷 181-193页

作者： Cui, Li Qi, Xin Wen, Chengfeng Lei, Na Li, Xinyuan Zhang, Min Gu, Xianfeng Beijing Normal Univ Sch Math Sci Beijing Peoples R China SUNY Stony Brook Dept Comp Sci Stony Brook NY 11794 USA Dalian Univ Technol DUT RU ISE Dalian Peoples R China Harvard Univ Ctr Math Sci & Applicat Boston MA 02115 USA Beijing Adv Innovat Ctr Imaging Theory & Technol Beijing Peoples R China

Optimal mass transportation (OT) problem aims at finding the most economic way to transform one probability measure to the other, which plays a fundamental role in many fields, such as computer graphics, computer vision, machine learning, geometry processing and medical imaging. Most existing algorithms focus on searching the optimal transportation map in Euclidean space, based on Kantorovich theory or Brenier theory. This work introduces a novel theoretic framework and computational algorithm to compute the optimal transportation map on the sphere. Constructing with a variational principle approach, our spherical OT map is carried out by solving a convex energy minimization problem and building a spherical power diagram. In theory, we prove the existence and the uniqueness of the spherical optimal transportation map;in practice, we present an efficient algorithm using the variational framework and Newton's method. Comparing to the existing approaches, this work is more rigorous, efficient, robust and intrinsic to the spherical geometry. It can be generalized to the hyperbolic geometry or to higher dimensions. Our experimental results on a variety of models demonstrate efficacy and efficiency of the proposed method. At the same time, our method generates diffeomorphic, area-preserving, and seamless spherical parameterization results. (C) 2019 Elsevier Ltd. All rights reserved.

关键词： Optimal transport Area-preserving mapping Spherical geometry Surface parameterization

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computer graphics: theory and practice with OpenGL

引用

2016年

作者： Zhigang Xiang

ISBN: (纸本)9781506902890

This textbook provides a comprehensive coverage of the fundamental concepts, mathematical tools, algorithms, and techniques of computer graphics, along with a detailed presentation of the widely-used multi-platform application programming interface -- OpenGL. Graphs and pictures are not only valuable ways of human communication, but also effective means of information exchange between man and machine. A properly designed graphical user interface can greatly simplify the use of a computer system. A computer-synthesized image showing a curve or surface that is shaded under simulated illumination conveys to the viewer a sense of shape and depth in a way that is a lot more direct and intuitive than the abstract algebraic equations representing the curve or surface. The study of the theory and practice of creating graphical information by computational means is at the heart of computer graphics, which encompasses, among other things, the representation of geometric structures, the spatial manipulation of objects, the simulation of optical phenomena, as well as elements of computer-human interaction and application programming. This textbook provides a comprehensive coverage of the fundamental concepts, mathematical tools, algorithms, and techniques of computer graphics, along with a detailed presentation of the widely-used multi-platform application programming interface -- OpenGL. It has more than enough material for a semester of intensive learning by undergraduate and graduate students majoring in computer science, computer engineering, and computer information technology. It also serves application programmers who are seeking to gain a solid understanding of the inner workings of OpenGL. Prof. Zhigang Xiang chairs the Department of computer Science at Queens College of the City University of New York (CUNY). He also directs Queens College's Center for Computational Infrastructure for the Sciences, and is on the Doctoral Faculty of computer Science at the CUNY Graduat

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