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Teaching global disruption and information technology online

Interactions 2016年第6期23卷 40-43页

作者： Tomlinson, Bill Patterson, Donald J. Nardi, Bonnie Department of Informatics University of California Irvine United States Math. and Computer Science Department Westmont College Santa BarbaraCA United States

Bill Tomlinson, University of California, Irvine Donald J. Patterson, Westmont College, and Bonnie Nardi, University of California, Irvine, delivered a curse titled 'ICS 5: Global Disruption and Information Technology' under Computing within LIMIT.. ICS 5 was one of the first online courses to be offered across the nine undergraduate campuses of the University of California system. The course has been offered three times to date: Winter 2015, Fall 2015, and Spring 2016. There were three primary curricular goals. The first was to educate students about the science of global change. The second was to educate students about the sociotechnical approach to technology design, which the three instructors have pursued throughout their careers. The third was to engage students in understanding and critiquing their own values and the processes by which such values may be brought to bear in the creation of sociotechnical solutions to global change. The authors structured the course as a descent into the problems in the early weeks, and then an ascent to solutions, ideas for solutions, and case studies of successes in the later weeks. A key premise of the course is that while technology may be able to address some aspects of sustainability, the core problem lies with the nature of current industrialized society. Despite their efforts, the authors found that many students struggled to grasp the core premise of LIMITS. Computing within LIMITS is critically important to the future of the computing discipline, and potentially a powerful transformative force in the world more broadly.

关键词： Students

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Some Reliability Problems Arising in the M^x/G(M/G)/1 Repairable Queueing System with Single Delay Vacation

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Journal of Systems science and Systems Engineering 2001年第3期13卷 306-314页

作者： TANG Ying-hui department of applied math., University of Electronics science & Technology of China, Chengdu 610054, China Department of Applied Math. University of Electronics Science & Technology of China Chengdu 610054 China

On the basis of Ref.\, the M x/G(M/G)/1 repairable queueing system with single delay vacation is discussed again. The following reliability problems of the service station are studied: (a) The probability that it fails at time t , i.e. its unavailability; (b) The expected failure number during the time interval (0,t\];; (c) The expected failure number during the ″server busy period″; (d) The expected downtime during the time interval (0,t\]. Some reliability results of the service station are obtained. These results would be interest to reliability analysts.

关键词： repairable vacation service station unavailability failure number downtime

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Rethinking algorithm design and development in speech processing

Rethinking algorithm design and development in speech proces...

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International Conference on Pattern Recognition

作者： Stadelmann, Thilo Wang, Yinghui Smithy, Matthew Ewerth, Ralph Freisleben, Bernd Department of Math. and Computer Science University of Marburg Germany Department of El. Engineering and Computer Science University of Hannover Germany

ISBN: (纸本)9780769541099

Speech processing is typically based on a set of complex algorithms requiring many parameters to be specified. When parts of the speech processing chain do not behave as expected, trial and error is often the only way to investigate the reasons. In this paper, we present a research methodology to analyze unexpected algorithmic behavior by making (intermediate) results of the speech processing chain perceivable and intuitively comprehensible by humans. The workflow of the process is explicated using a real-world example leading to considerable improvements in speaker clustering. The described methodology is supported by a software toolbox available for download. © 2010 IEEE.

关键词： Speech processing

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A NOTE ON A NEW THEORY OF TURBULENCE

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applied math.matics and Mechanics(English Edition) 1991年第1期12卷 101-105页

作者：蔡树棠林多敏 Department of Modern Mechanics University of Science and Technology of China Hefei Shanghai Institute of Applied Math. and Mechanics Shanghai Shanghai University of Technology Shanghai

In this paper, the creation and annihilation of turbulent eddies are described as elementary particles in the quantum field theory. An elementary particle mav be considered as a solid entity as it exists in quantum theory, but a turbulent eddy is often changed in size and shape with time due to its energy dissipation in a turbulent field. Therefore, in order to apply the method of the quantum field theory to the turbulent field by analogy, the entity of the same eddy should be defined firstly According to the linearized theory, the turbulent eddies with the similarity character in time duration may be considered as the entity of the same eddy, and the creation and annihilation of turbulent eddies without the similar characters are related to the interaction term in equation (2.6). Then, the creation operator and annihilation operator similar-to those in the quantum field theory are used to describe the state of turbulent eddy field. Finally, a 'Schrddinger' equation of turbulent eddies is formulated based upon the nonlinear terms in the original N- S equation. Thus, a new turbulent eddy interaction theory similar to the quantum field theory is obtained.

关键词： turbulent eddies creation and annihilation of turbulent eddies turbulent eddy interaction

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Systems biology: Models and logics 24th

Systems biology: Models and logics

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24th International Conference on Logic Programming, ICLP 2008

作者： Piazza, C. Policriti, A. Dept. of Math. and Computer Science University of Udine Udine Italy Institute of Applied Genomics Udine Italy

ISBN: (纸本)9783540899815

The field of systems biology focuses on creating a finely detailed picture of biological mechanisms. Recently, the need has arisen for more and more sophisticated and math.matically well founded computational tools, capable of analyzing those models that are and will be at the core of Systems Biology. The challenge consists in faithfully implementing such computational models in software packages exploiting the potential trade-offs among usability, accuracy, and scalability when dealing with large amounts of data. The aim of this presentation is that of introducing some emerging problems and proposed solutions in this context. In particular, after an introductory first part, in the second part we will focus on the use of Hybrid Systems in Systems Biology. Hybrid systems are dynamical systems presenting both discrete and continuous evolution, originally proposed to study embedded systems, where a discrete control acts on a continuously changing environment. The presence of both discrete and continuous dynamics makes this formalism appealing also for modeling biological systems. However, the situation in this case is subtler, basically because there is no "natural" separation of discrete and continuous components. It comes as no surprise, therefore, that Hybrid Systems have been used in Systems Biology in rather various ways. Some approaches, like the description of biological switches, concentrate on the use of model-checking routines. Other applications, like the switching between continuous and discrete/stochastic simulation, focus on the exploitation of the interplay between discreteness and continuity in order to reduce the computational burden of numerical simulation, yet maintaining an acceptable precision. We will survey some of the main uses of Hybrid Automata in Systems Biology, through a series of cases studies that we deem interesting and paradigmatic, discussing both actual and foreseeable, logical and implementation issues. © Springer-Verlag Berlin Heide

关键词： Hybrid systems

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Metacomputing revisited: Alternative paradigms for distributed resource sharing

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ICCS 2006: 6th International Conference on Computational science

作者： Sunderam, Vaidy Department of Math. and Computer Science Emory University Atlanta GA 30322 United States

ISBN: (纸本)3540343792

Conventional distributed computing paradigms such as PVM and MPI(CH) have had mixed success when translated to computing environments that span multiple administrative and ownership domains. We analyze fundamental issues in distributed resource sharing particularly from the viewpoint of different forms of heterogeneity - i.e. not just in the computing platforms, but also in storage, network characteristics, availability, access protocols, robustness, and dynamicity. We argue that effective multidomain resource sharing in the face of such variability is critically dependent upon minimizing global state between providers, and between providers and clients. The H2O framework has made one step in this direction, by decoupling provider concerns from client requirements, and enabling clients to (re)configure resources as required. H2O is based on a "pluggable" software architecture to enable flexible and reconfigurable distributed computing. A key feature is the provisioning of customization capabilities that permit clients to tailor provider resources as appropriate to the given application, without compromising control or security. Through the use of uploadable "pluglets", users can exploit specialized features of the underlying resource, application libraries, or optimized message passing subsystems on demand. The next generation of this framework takes the second step, to virtualize and homogenize resource aggregates at the client side, thereby further reducing the degree of coupling between providers, and between providers and clients. The system also supports dynamic environment preconditioning to automate many of the tasks required in multidomain resource sharing. The architecture and design philosophies of these software frameworks, their implementation, recent experiences, and planned enhancements are described, in the context of new paradigms and directions for metacomputing. © Springer-Verlag Berlin Heidelberg 2006.

关键词： Distributed computer systems

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Harmful information spreading and its impact on vaccination campaigns modeled through fractal-fractional operators

arXiv

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arXiv 2025年

作者： Akgül, Ali Usman, Auwalu Hamisu Conejero, J. Alberto Department of Electronics and Communication Engineering Saveetha School of Engineering SIMATS Tamilnadu Chennai India Siirt University Art and Science Faculty Department of Mathematics Siirt56100 Turkey Department of Computer Engineering Biruni University Topkapı Istanbul34010 Turkey Near East University Mathematics Research Center Department of Mathematics Near East Boulevard Nicosia/Mersin 10 MersinPC: 99138 Turkey Dept. Mathematics Faculty of Science King Mongkut’s University of Technology Thonburi Bangkok Thailand Bangkok10140 Thailand Dept. Math. Sci. Faculty of Physical Sciences Bayero University Kano Nigeria Instituto de Matemática Pura y Aplicada Universitat Politècnica de València Spain

Despite the huge efforts to develop and administer vaccines worldwide to copewith the COVID-19 pandemic, misinformation spreading through fake news in mediaand social networks about vaccination safety, make that people refuse to bevaccinated, which harms not only these people but also the whole population. In this work, we model the effects of harmful information spreading inimmunization acquisition through vaccination. Our model is posed for severalfractional derivative operators. We have conducted a comprehensive foundationanalysis of this model for the different fractional derivatives. Additionally,we have incorporated a strength parameter that shows the combined impact ofnonlinear and linear components within an epidemiological model. We have usedthe second derivative of the Lyapunov function to ascertain the detection ofwave patterns within the vaccination *** Codes 26A33, 34A08, 35R11 Copyright © 2025, The Authors. All rights reserved.

关键词： Fractals

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Natural image denoising: Optimality and inherent bounds

Natural image denoising: Optimality and inherent bounds

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作者： Levin, Anat Nadler, Boaz Department of Computer Science and Applied Math Weizmann Institute of Science Israel

ISBN: (纸本)9781457703942

The goal of natural image denoising is to estimate a clean version of a given noisy image, utilizing prior knowledge on the statistics of natural images. The problem has been studied intensively with considerable progress made in recent years. However, it seems that image denoising algorithms are starting to converge and recent algorithms improve over previous ones by only fractional dB values. It is thus important to understand how much more can we still improve natural image denoising algorithms and what are the inherent limits imposed by the actual statistics of the data. The challenge in evaluating such limits is that constructing proper models of natural image statistics is a long standing and yet unsolved problem. To overcome the absence of accurate image priors, this paper takes a non parametric approach and represents the distribution of natural images using a huge set of 1010 patches. We then derive a simple statistical measure which provides a lower bound on the optimal Bayesian minimum mean square error (MMSE). This imposes a limit on the best possible results of denoising algorithms which utilize a fixed support around a denoised pixel and a generic natural image prior. Our findings suggest that for small windows, state of the art denoising algorithms are approaching optimality and cannot be further improved beyond 0.1dB values. © 2011 IEEE.

关键词： Image denoising

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Computation of the normal forms for general M-DOF systems using multiple time scales. Part II: Non-autonomous systems

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Communications in Nonlinear science and Numerical Simulation 2006年第1期11卷 45-81页

作者： Zhu, Songhui Yu, Pei Department of Applied Mathematics Faculty of Sciences The University of Western Ontario London Ont. N6A 5B7 Canada Department of Math./Computer Science Benedict College Columbia SC 29204 United States

A perturbation technique has been developed in Part I to consider the computation of the normal forms for general multiple-degree-of-freedom autonomous systems. In this paper, the perturbation approach is extended to study general non-autonomous systems and is focused on systems with external forcing. With the aid of multiple time scales, efficient recursive algorithms are developed for systematically computing the normal forms. General solutions are obtained for solving ordered perturbation equations. In particular, the following cases are considered in detail: the non-resonance, internal resonances (including general resonance, resonant case involving 1:1 primary resonance, and combination of resonant case with non-resonance), and external resonances (including general resonance, and combination of internal resonance and external resonance). User-friendly Maple programs have been coded which can be "automatically" executed on various computer systems. Examples are given to demonstrate the computational efficiency of the method and the convenience of using computer algebra systems. © 2004 Elsevier B.V. All rights reserved.

关键词： Degrees of freedom (mechanics)

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HiPoNet: A Topology-Preserving Multi-View Neural Network For High Dimensional Point Cloud and Single-Cell Data

arXiv

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arXiv 2025年

作者： Viswanath, Siddharth Madhu, Hiren Bhaskar, Dhananjay Kovalic, Jake Johnson, Dave Ying, Rex Tape, Christopher Adelstein, Ian Perlmutter, Michael Krishnaswamy, Smita Department of Computer Science Yale University New Haven United States Department of Genetics Yale University New Haven United States Department of Applied Physics Yale University New Haven United States Program in Computing Boise State University Idaho United States Cell Communication Lab Department of Oncology University College London Cancer Institute London United Kingdom Department of Mathematics Yale University New Haven United States Department of Mathematics Boise State University Idaho United States Computational Biology and Bioinformatics Program Yale University New Haven United States Wu-Tsai Institute Yale University New Haven United States Program for Applied Math Yale University New Haven United States

In this paper, we propose HiPoNet, an end-to-end differentiable neural network for regression, classification, and representation learning on high-dimensional point clouds. Single-cell data can have high dimensionality exceeding the capabilities of existing methods for point clouds which are tailored for 3D data. Moreover, modern single-cell and spatial experiments now yield entire cohorts of datasets (i.e. one on every patient), necessitating models that can process large, high-dimensional point clouds at scale. Most current approaches build a single nearest-neighbor graph, discarding important geometric information. In contrast, HiPoNet forms higher-order simplicial complexes through learnable feature reweighting, generating multiple data views that disentangle distinct biological processes. It then employs simplicial wavelet transforms to extract multiscale features—capturing both local and global topology. We empirically show that these components preserve topological information in the learned representations, and that HiPoNet significantly outperforms state-of-the-art point-cloud and graph-based models on single cell. We also show an application of HiPoNet on spatial transcriptomics datasets using spatial co-ordinates as one of the views. Overall, HiPoNet offers a robust and scalable solution for high-dimensional data analysis. © 2025, CC BY.

关键词： Network topology

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