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15th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2019, held in conjunction with the 12th International Conference on Frontiers of Information Technology, Applications and Tools, FITAT 2019

作者： Chen, Ching-Ju Zhao, Ming Chen, Shuo-Tsung Lin, Meng-Ju College of Future Bachelor Program in Interdisciplinary Studies National Yunlin University of Science and Technology DouliuYunlin Taiwan64002 Taiwan School of Computer Science Yangtze University Jingzhou CityHubei Province China Department of Applied Mathematics Tunghai University No. 1727 Sec. 4 Taiwan Boulevard TaichungTaiwan40704 Taiwan National Yunlin University of Science and Technology DouliuYunlin Taiwan64002 Taiwan

ISBN: (纸本)9789811397134

This paper designs a digital audio watermarking scheme using a quantization embedding system in the wavelet domain. In this paper, the relationship between the watermarked coefficients and the original coefficients is first presented and then the quantization-based embedding rules are combined into a quantization-based embedding system that incorporates a system state. For the embedding in this system, the information includes synchronization codes and the watermarks are embedded into the DWT lowest frequency sub-band coefficients, which can be described by a matrix form. Moreover, the SNR is rewritten as a performance index which is a quadratic form. Then, a nonlinear function connecting the performance index and the embedding system is derived. Accordingly, an optimization-based embedding system is proposed. Finally, the Lagrange Principle is used to obtain the optimal solution which is an important formula for watermarking. In addition, the hidden information can be extracted without knowledge of the original audio. In the experiments, the performance of the proposed system is tested and the results verify the high SNR and strong robustness against multimedia signal processing or malicious attacks. © 2020, Springer Nature Singapore Pte Ltd.

关键词： Audio watermarking

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Nonstationary spatial modeling of massive global satellite data

arXiv

引用

arXiv 2021年

作者： Huang, Huang Blake, Lewis R. Katzfuss, Matthias Hammerling, Dorit M. Statistics Program King Abdullah University of Science and Technology Thuwal 23955-6900 Saudi Arabia Department of Applied Mathematics and Statistics Colorado School of Mines GoldenCO80401 United States Department of Statistics Texas A&M University College StationTX77843 United States

Earth-observing satellite instruments obtain a massive number of observations every day. For example, tens of millions of sea surface temperature (SST) observations on a global scale are collected daily by the Moderate Resolution Imaging Spectroradiometer (MODIS) instrument. Despite their size, such datasets are incomplete and noisy, necessitating spatial statistical inference to obtain complete, high-resolution fields with quantified uncertainties. Such inference is challenging due to the high computational cost, the nonstationary behavior of environmental processes on a global scale, and land barriers affecting the dependence of SST. In this work, we develop a multi-resolution approximation (M-RA) of a Gaussian process (GP) whose nonstationary, global covariance function is obtained using local fits. The M-RA requires domain partitioning, which can be set up application-specifically. In the SST case, we partition the domain purposefully to account for and weaken dependence across land barriers. Our M-RA implementation is tailored to distributed-memory computation in high-performance-computing environments. We analyze a MODIS SST dataset consisting of more than 43 million observations, to our knowledge the largest dataset ever analyzed using a probabilistic GP model. We show that our nonstationary model based on local fits provides substantially improved predictive performance relative to a stationary approach. © 2021, CC BY.

关键词： Atmospheric temperature

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Low Back Muscle Electrical Activity in Pregnant Women of the Second and Third Trimesters 1

Low Back Muscle Electrical Activity in Pregnant Women of the...

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1st International Conference on Computer, Science, Engineering and Technology, ICComSET 2018

作者： Purnamasari, K.D. Widyawati, M.N. Suryono, S. Postgraduate Applied Science Midwifery Program Poltekkes Kemenkes Semarang Indonesia Department of Physics Faculty of Science and Mathematics Diponegoro University Semarang Indonesia

Low back pain during pregnancy causes axial or parasagittal discomfort. These problems are experienced by more than two-thirds of pregnancies. Clinically the measurement of pain was carried out using the Visual Analogue Scale (VAS) method. Unfortunately, the method has low accuracy and is subjective. This paper proposes a method of measuring pain by using electromyography tools so that pain level measurement has a high level of accuracy and is non-invasive to patients. The study was carried out by installing electromyography electrodes on L4 and L5 muscles. The signal is recorded on a digital storage oscilloscope to find out the electrical activity. The results of the recording were evaluated for the action potential and frequency *** study was conducted on 15 respondents with lower back muscle pain in mothers monitored for 1 minute with electromyography. The monitoring results are calculated on average frequency and action potential and then presented in the form of trends. The results of the analysis of pain level measurement were compared with the results of VAS measurements. From the results of this study indicate that the trend of the action potential and signal frequency using electromyography shows different results when respondents experience the same pain scale on VAS. The value generated in the measurement using VAS is only a pain number scale that is felt by the respondent where the value is subjective. © 2019 IOP Publishing Ltd. All rights reserved.

关键词： Cathode ray oscilloscopes

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Fuzzy petri net representation of fuzzy production propositions of a rule based system 3rd

Fuzzy petri net representation of fuzzy production propositi...

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3rd International Conference on Advances in Computing and Data Sciences, ICACDS 2019

作者： Gupta, Sakshi Kumawat, Sunita Singh, Gajendra Pratap Department of Applied Mathematics Amity School of Applied Sciences Amity University Haryana Gurgaon India Mathematical Sciences and Interdisciplinary Research Lab School of Computational and Integrative Sciences JNU New Delhi India

ISBN: (纸本)9789811399381

Petri net is a potential mathematical and graphical modelling tool, used to examine the properties of various complex discrete event and distributed systems. In this paper, a Petri net variant, called Fuzzy Petri net (FPN) has been used to represent Fuzzy Production propositions of a rule based system, where a fuzzy production proposition explains the fuzzy relation among two propositions. For this purpose, another Petri net variant, known as Boolean Petri net (BPN) is considered because of its practical significance. BPNs can be used to represent active and inactive stages of a system like switching circuits;to qualitatively describe gene regulatory interactions etc. The Fuzzy Production propositions of BPN have been represented using Fuzzy Petri net and a precedent-subsequent relation between the two fuzzy propositions of BPNs has been checked using fuzzified propositional algorithm. This relation provides an important property of BPNs based on initial marking of Petri nets and the obtained truth degree of the success node validates the belief strength of this property. © Springer Nature Singapore Pte Ltd 2019.

关键词： Petri nets

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Preliminary report on feasibility of laser induced breakdown spectroscopy (LIBS) coupled with eco-friendly capping material for discriminating heavy metal contaminants in liquid milk

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AIP Conference Proceedings 2023年第1期2480卷

作者： Muliadi Ramli Rara Mitaphonna Febriani Saiful Kurnia Lahna Nasrullah Idris Department of Chemistry Faculty of Mathematics and Natural Sciences Universitas Syiah Kuala Jl. Syech Abdurrauf No. 3 Darussalam 23111 Banda Aceh Aceh Indonesia Doctoral Program of Mathematics and Applied Sciences Universitas Syiah Kuala 23111 Banda Aceh Indonesia Department of Physics Faculty of Mathematics and Natural Sciences Universitas Syiah Kuala Jl. Syech Abdurrauf No. 3 Darussalam 23111 Banda Aceh Aceh Indonesia

This work was carried out to examine the feasibility of LIBS technique coupled with chitosan adsorbent for heavy metal analysis in liquid sample, namely liquid milk products. Heavy metals contained in the liquid products were trapped on the chitosan surface before being irradiated by a focused laser beam using a LIBS technique. Preliminary results of the emission spectra of the heavy metal (Pb) capped on chitosan can clearly be detected using the LIBS technique. Thus, this proposed method of LIBS coupled with chitosan adsorbent could be a promising, efficient and eco-friendly techniques for analyzing heavy metal contaminants in milk liquid samples.

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Elemental analysis of tsunami soil collected from Aceh of Indonesia using scanning electron microscope-energy dispersive x-ray (SEM-EDX)

引用

AIP Conference Proceedings 2023年第1期2480卷

作者： Muliadi Ramli Rara Mitaphonna Kurnia Lahna Nasrullah Idris Department of Chemistry Faculty of Mathematics and Natural Sciences Universitas Syiah Kuala Jl. Syech Abdurrauf No. 3 Darussalam 23111 Banda Aceh Aceh Indonesia Doctoral Program of Mathematics and Applied Sciences Universitas Syiah Kuala 23111 Banda Aceh Indonesia Department of Physics Faculty of Mathematics and Natural Sciences Universitas Syiah Kuala Jl. Syech Abdurrauf No. 3 Darussalam 23111 Banda Aceh Aceh Indonesia

Characterization of soil impacted by 2004 Indian Ocean tsunami giant disaster was carried out using a Scanning Electron Microscope-Energy Dispersive X-Ray (SEM-EDX) for investigating its chemical composition. The soil sample was collected from several part of Aceh province of Indonesia. Aceh region is well known as a worst flood land by the 2004 Indian Ocean tsunami. In this preliminary report, results from SEM-EDX analysis for soil sample collected from West Aceh Regency, the closest region to the earthquake epicenter, are presented. SEM image of the tsunami impacted soil sample shows a characteristic morphology with smaller particles and inhomogenous distribution. This is assumed due to the precipitation of several dissolved chemical elements during inundation by the tsunami water. EDX analysis proved that the tsunami impacted soil sample contaminated by organic components such as C and O, alkali/alkaline earth metals (Ca, Mg, Na, and K) as well as transition metals components including Al, Ti, Fe, Si. On the other hand, this experiment also displayed that oxygen element is a dominant element in the tsunami impacted soil with concentration of 52,57%, followed by carbon of 23.37% and silica of 13.41% (wt). The chemical profile of the tsunami impacted soil observed in this work suggests that SEM-EDX technique is a prospective method for evaluation of chemical composition in any impacted soil samples collected from tsunami affected area of Aceh, Indonesia.

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Models for plasma kinetics during simultaneous therapeutic plasma exchange and extracorporeal membrane oxygenation

arXiv

引用

arXiv 2020年

作者： Puelz, Charles Danial, Zach Marinaro, Jon Raval, Jay Griffith, Boyce E. Peskin, Charles S. Courant Institute of Mathematical Sciences New York University Department of Emergency Medicine University of New Mexico Department of Pathology University of New Mexico Departments of Mathematics Applied Physical Sciences and Biomedical Engineering University of North Carolina Carolina Center for Interdisciplinary Applied Mathematics University of North Carolina Computational Medicine Program University of North Carolina McAllister Heart Institute University of North Carolina

This paper focuses on the derivation and simulation of mathematical models describing new plasma fraction in blood for patients undergoing simultaneous extracorporeal membrane oxygenation and therapeutic plasma exchange. Models for plasma exchange with either veno–arterial or veno–venous extracorporeal membrane oxygenation are considered. Two classes of models are derived for each case, one in the form of an algebraic delay equation and another in the form of a system of delay differential equations. In special cases, our models reduce to single compartment ones for plasma exchange that have been validated with experimental data [15]. We also show that the algebraic delay equations are forward Euler discretizations of the delay differential equations, with timesteps equal to transit times through model compartments. Numerical simulations are performed to compare different model types, to investigate the impact of plasma device port switching on the efficiency of the exchange process, and to study the sensitivity of the models to their parameters. Copyright © 2020, The Authors. All rights reserved.

关键词： Respiratory therapy

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Self-learning Monte Carlo for non-Abelian gauge theory with dynamical fermions

引用

Physical Review D 2023年第5期107卷 054501-054501页

作者： Yuki Nagai Akinori Tanaka Akio Tomiya Mathematical Science Team RIKEN Center for Advanced Intelligence Project (AIP) 1-4-1 Nihonbashi Chuo-ku Tokyo 103-0027 Japan CCSE Japan Atomic Energy Agency 178-4-4 Wakashiba Kashiwa Chiba 277-0871 Japan Interdisciplinary Theoretical and Mathematical Sciences Program (iTHEMS) RIKEN 2-1 Hirosawa Wako Saitama 351-0198 Japan Department of Mathematics Faculty of Science and Technology Keio University 3-14-1 Hiyoshi Kouhoku-ku Yokohama 223-8522 Japan RIKEN/BNL Research center Brookhaven National Laboratory Upton New York 11973 USA

In this paper, we develop the self-learning Monte-Carlo (SLMC) algorithm for non-Abelian gauge theory with dynamical fermions in four dimensions to resolve the autocorrelation problem in lattice QCD. We perform simulations with the dynamical staggered fermions and plaquette gauge action by both in the hybrid Monte-Carlo (HMC) and SLMC for zero and finite temperature to examine the validity of SLMC. We confirm that SLMC can reduce autocorrelation time in non-Abelian gauge theory and reproduce results from HMC. For finite temperature runs, we confirm that SLMC reproduces correct results with HMC, including higher-order moments of the Polyakov loop and the chiral condensate. Besides, our finite temperature calculations indicate that four flavor QC2D with m^=0.5 is likely in the crossover regime in the Colombia plot.

关键词： Lattice QCD Finite temperature field theory Heatbath algorithm Lattice gauge theory Machine learning Metropolis algorithm Monte Carlo methods

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Crouzeix’s Conjecture and Related Problems

arXiv

引用

arXiv 2020年

作者： Bickel, Kelly Gorkin, Pamela Greenbaum, Anne Ransford, Thomas Schwenninger, Felix Wegert, Elias Department of Mathematics Bucknell University LewisburgPA17837 United States Department of Mathematics Bucknell University LewisburgPA17837 United States Department of Applied Mathematics University of Washington Département de mathématiques et de statistique Université Laval QuébecQCG1V 0A6 Canada Department of Mathematics Universität Hamburg Department of Applied Mathematics University of Twente Netherlands Department of Mathematics and Computer Science Technische Universität Bergakademie Freiberg Division of Mathematical Sciences National Science Foundation United States NSERC and the Canada Research Chairs program

In this paper, we establish several results related to Crouzeixs conjecture. We show that the conjecture holds for contractions with eigenvalues that are sufficiently well-separated. This separation is measured by the so-called separation constant, which is defined in terms of the pseudohyperbolic metric. Moreover, we study general properties of related extremal functions and associated vectors. Throughout, compressions of the shift serve as illustrating examples which also allow for refined *** Codes 47A25, 47A12, 15A60, 47A20, 30J10 Copyright © 2020, The Authors. All rights reserved.

关键词： Eigenvalues and eigenfunctions

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Earthmover-based manifold learning for analyzing molecular conformation spaces

arXiv

引用

arXiv 2019年

作者： Zelesko, Nathan Moscovich, Amit Kileel, Joe Singer, Amit Department of Mathematics Brown University Program in Applied and Computational Mathematics Princeton University Department of Mathematics Princeton University

In this paper, we propose a novel approach for manifold learning that combines the Earthmover's distance (EMD) with the diffusion maps method for dimensionality reduction. We demonstrate the potential benefits of this approach for learning shape spaces of proteins and other flexible macromolecules using a simulated dataset of 3-D density maps that mimic the non-uniform rotary motion of ATP synthase. Our results show that EMD-based diffusion maps require far fewer samples to recover the intrinsic geometry than the standard diffusion maps algorithm that is based on the Euclidean distance. To reduce the computational burden of calculating the EMD for all volume pairs, we employ a wavelet-based approximation to the EMD which reduces the computation of the pairwise EMDs to a computation of pairwise weighted-`1 distances between wavelet coefficient vectors. Copyright © 2019, The Authors. All rights reserved.

关键词： Electron microscopes

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