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SSRN 2023年

作者： Morand, Victor Müller, Nils Weightman, Ryan Keimer, Alexander Piccoli, Benedetto Bayen, Alexandre M. Ecole Polytechnique Palaiseau France Department of Electrical Engineering and Computer Science University of California BerkeleyCA United States Max Planck Institute for Software Systems Saarland Informatics Campus Germany Max Planck Institute for Intelligent Systems Germany Department of Mathematics Rutgers University NJ United States Department of Mathematics FAU Erlangen-Nürnberg Germany

In this contribution, we study the numerical approximation of scalar conservation laws by computational optimization of the numerical flux function in a first-order finite volume method. The cell-averaging inherent to finite volume schemes presents a challenge in the design of such numerical flux functions toward achieving high solution accuracy. Dense neural networks, as well as (piecewise) polynomials, serve as function classes for the numerical flux. Using a parametrization of such a function class, we optimize the numerical flux with respect to its solution accuracy on a set of Riemann problems for which we have closed-form solutions. By design, our resulting first-order finite volume schemes are *** show empirically that the proposed schemes can achieve higher accuracy than the Godunov and EnquistOsher method on a wide range of *** proposed method can be applied to the inverse problem, i.e., the data-driven synthesis of macroscopic physical laws for real-world flux phenomena. © 2023, The Authors. All rights reserved.

关键词： Finite volume method

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ProgArch: Modeling the Adoption of Enterprise Architecture to Manage Development Program 7

ProgArch: Modeling the Adoption of Enterprise Architecture t...

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7th International Conference on ICT for Smart Society, ICISS 2020

作者： Mahatma, Kodrat Risnanto, Slamet Atika, Prima Dina Waseso, Bayu Team for Acceleration of Stunting Prevention Jakarta Indonesia Universitas Sangga Buana Faculty of Engineering Informatics Department Bandung Indonesia Universitas Bhayangkara Department of Informatics Jakarta Raya Indonesia Universitas Mercubuana Faculty of Computer Science Jakarta Indonesia

ISBN: (纸本)9781665404228

Although various frameworks, methods, and tools have been used in a development program, a comprehensive framework that can integrate all aspects and needs of a complex development program is not available. Simultaneously, in the IT/IS context, Enterprise Architecture (EA) concept has existed and becomes the organization's blueprint for aligning its vision and mission, business processes, and information *** to model an architectural framework that can adopt EA's capabilities and advantages and apply it in a complex development program context with significant IT, applications, and data components is key questions that lead this research. In this paper, ArchiMate 3.0, an EA framework from Open Group, was adopted to represent the development program management structure. We use observation from the stunting prevention acceleration program in Indonesia to explore EA's strength in representing the description, analysis, and visualization of multiple aspects of a complex case. It shows that the model we built can adopt important EA framework features like artifact integration, searchability, traceability, and multi-dimensional view capability. © 2020 IEEE.

关键词： Blueprints

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Federated Learning with Quantum Secure Aggregation

arXiv

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arXiv 2022年

作者： Zhang, Yichi Zhang, Chao Zhang, Cai Fan, Lixin Zeng, Bei Yang, Qiang Department of Physics The Hong Kong University of Science and Technology Hong Kong College of Mathematics and Informatics South China Agricultural University China Department of Computer Science and Engineering The Hong Kong University of Science and Technology Hong Kong WeBank China

This article illustrates a novel Quantum Secure Aggregation (QSA) scheme that is designed to provide highly secure and efficient aggregation of local model parameters for federated learning. The scheme is secure in protecting private model parameters from being disclosed to semi-honest attackers by utilizing quantum bits i.e. qubits to represent model parameters. The proposed security mechanism ensures that any attempts to eavesdrop private model parameters can be immediately detected and stopped. The scheme is also efficient in terms of the low computational complexity of transmitting and aggregating model parameters through entangled qubits. Benefits of the proposed QSA scheme are showcased in a horizontal federated learning setting in which both a centralized and decentralized architectures are taken into account. It was empirically demonstrated that the proposed QSA can be readily applied to aggregate different types of local models including logistic regression (LR), convolutional neural networks (CNN) as well as quantum neural network (QNN), indicating the versatility of the QSA scheme. Performances of global models are improved to various extents with respect to local models obtained by individual participants, while no private model parameters are disclosed to semi-honest adversaries. Copyright © 2022, The Authors. All rights reserved.

关键词： Qubits

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Taming the beast:a revised classification of Cortinariaceae based on genomic data

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Fungal Diversity 2022年第1期112卷 89-170页

作者： Kare Liimatainen Jan T.Kim Lisa Pokorny Paul M.Kirk Bryn Dentinger Tuula Niskanen Jodrell Laboratory Royal Botanic GardensKewSurrey TW93ABUK Department of Computer Science School of PhysicsEngineering and Computer ScienceUniversity of HertfordshireHatfieldHertfordshire AL109ABUK Institut Botànic de Barcelona(IBB CSIC-Ajuntament de Barcelona)08038 BarcelonaCataloniaSpain Biodiversity Informatics and Spatial Analysis Jodrell LaboratoryRoyal Botanic GardensKewSurrey TW93ABUK Natural History Museum of Utah and School of Biological Sciences University of UtahSalt Lake CityUTUSA Botanical Museum University of HelsinkiP.O.Box 700014 HelsinkiFinland

Family Cortinariaceae currently includes only one genus,Cortinarius,which is the largest Agaricales genus,with thousands of species *** species are important ectomycorrhizal fungi and form associations with many vascular plant gen-era from tropicals to arctic *** Cortinarius contains a lot of morphological variation,and its complexity has led many taxonomists to specialize in particular on infrageneric *** previous attempts to divide Cortinarius have been shown to be unnatural and the phylogenetic studies done to date have not been able to resolve the higher-level classification of the group above section *** approaches have revolutionized our view on fungal relationships and provide a way to tackle difficult *** used both targeted capture sequencing and shallow whole genome sequencing to produce data and to perform phylogenomic analyses of 75 single-copy genes from 19 *** addition,a wider 5-locus analysis of 245 species,from the Northern and Southern Hemispheres,was also *** on our results,a classification of the family Cortinariaceae into ten genera-Cortinarius,Phlegmacium,Thaxterogaster,Calonarius,Aureonarius,Cystinarius,Volvanarius,Hygronarius,Mystinarius,and Austrocortinarius-is *** genera,10 subgenera,and four sec-tions are described as new to science and five subgenera are introduced as new combinations in a new *** addition,41 section names and 514 species names are combined in new genera and four lecto-and epitypes *** position of Stephanopus in suborder Agaricineae remains to be *** capture sequencing is used for the first time in fungal taxonomy in *** provides a cost-efficient way to produce-omics data in species-rich ***-omics data was produced from fungarium specimens up to 21 years old,demonstrating the value of museum specimens in the study of the fungal tree of *** study is the first family revision in Agaricales based on genomi

关键词： Agaricales Fungariomics Fungi HybPiper Museomics Targeted capture sequencing Whole genome sequencing

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Parameterized complexity of minimum membership dominating set

arXiv

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arXiv 2021年

作者： Agrawal, Akanksha Choudhary, Pratibha Narayanaswamy, N.S. Nisha, K.K. Ramamoorthi, Vijayaragunathan Department of Computer Science and Engineering IIT Madras Chennai India Faculty of Informatics Czech Technical University in Prague Czech Republic

Given a graph G = (V, E) and an integer k, the Minimum Membership Dominating Set (MMDS) problem seeks to find a dominating set S ⊆ V of G such that for each v ∈ V, |N[v] ∩S| is at most k. We investigate the parameterized complexity of the problem and obtain the following results about MMDS: 1. W[1]-hardness of the problem parameterized by the pathwidth (and thus, treewidth) of the input graph. 2. W[1]-hardness parameterized by k on split graphs. 3. An algorithm running in time 2O(vc)|V |O(1), where vc is the size of a minimum-sized vertex cover of the input graph. 4. An ETH-based lower bound showing that the algorithm mentioned in the previous item is optimal. © 2021, CC BY.

关键词： Parameterization

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Anisotropic exchange spin model to investigate the Curie temperature dispersion of L10-FePt magnetic nanoparticles

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Journal of Applied Physics 2025年第18期137卷

作者： Ochiai, Kohei Tsuyama, Tomoyuki Shimizu, Sumera Zhang, Lei Watanabe, Jin Kudo, Fumito Zhu, Jian-Gang Okuno, Yoshishige Resonac Corporation Research Center for Computational Science and Informatics 8 Ebisu-cho Kanagawa-ku Kanagawa Yokohama221-8517 Japan Resonac Hard Disk Corporation Research & Development Center 5-1 Yawatakaigan-dori Chiba Ichihara290-0067 Japan Data Storage Systems Center Carnegie Mellon University PittsburghPA15213 United States Electrical and Computer Engineering Department Carnegie Mellon University PittsburghPA15213 United States Materials Science and Engineering Department Carnegie Mellon University PittsburghPA15213 United States

We developed an anisotropic exchange spin model that accounts for magnetic anisotropy and evaluated the Curie temperature ( T c ) dispersion due to finite-size effects in L1 0 -FePt nanoparticles. In heat-assisted magnetic recording (HAMR) media, a next-generation magnetic recording technology, high-density recording is achieved by locally heating L1 0 -FePt nanoparticles near their T c and rapidly cooling them. However, variations in T c caused by differences in particle size and shape can compromise recording stability and areal density capacity, making the control of T c dispersion critical. In this study, we constructed atomistic Landau-Lifshitz-Gilbert models to explicitly incorporate the spin exchange anisotropy of L 1 0 -FePt, based on parameters determined by first-principles calculations. Using this model, we evaluated the impact of particle size on T c dispersion. As a result, (1) the T c dispersion critical to the performance of HAMR can be reproduced, whereas it was previously underestimated by isotropic models and (2) approximately 70 % of the experimentally observed T c dispersion can be attributed to particle-size effects. This research highlights the role of exchange anisotropy in amplifying finite-size effects and underscores the importance of size control in HAMR media. © 2025 Author(s).

关键词： Magnetic nanoparticles

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Intelligent optimization in model-predictive control with risk-sensitive filtering

Intelligent optimization in model-predictive control with ri...

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作者： Chen, Yenming J. Tsai, Jinn-Tsong Huang, Wei-Tai Ho, Wen-Hsien National Kaohsiung University of Science and Technology Kaohsiung Taiwan Department of Computer Science National Pingtung University Pingtung Taiwan Department of Mechanical Engineering National Pingtung University of Science and Technology Pingtung Taiwan Department of Healthcare Administration and Medical Informatics Kaohsiung Medical University Kaohsiung Taiwan Department of Medical Research Kaohsiung Medical University Hospital Kaohsiung Taiwan

The uncertainty issue in real-work optimization affects the level of optimization significantly. Because most future uncertainties cannot be foreseen in advance, the optimization must take the uncertainties as a risk in an intelligent way in the process of computation algorithm. Based on our risk-sensitive filtering algorithm, this study adopts a model-predictive control to construct a risk-averse, predictable model that can be used to regulate the level of a real-world system. Our model is intelligent in that the predictive model needs not to identify the system parameters in advance, and our algorithm will learn the parameters through data. When the real-world system is under the disturbance of unexpected events, our model can still maintain suitable performance. Our results show that the intelligent model designed in this study can learn the system parameters in a real-world system and minimize unexpected real-world disturbances. Through the learning process, our model is robust, and the optimal performance can still be retained even the system parameters deviate from expected, e.g., material shortage in a supply chain due to earthquake. When parameter error risks occur, the control rules can still drive the overall system with a minimal performance drop. © 2021-IOS Press. All rights reserved.

关键词： Model predictive control

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Fruit Quality Assessment with Densely Connected Convolutional Neural Network

arXiv

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arXiv 2022年

作者： Morshed, Md. Samin Ahmed, Sabbir Ahmed, Tasnim Islam, Muhammad Usama Rahman, A.B.M. Ashikur Department of Computer Science and Engineering Islamic University of Technology Gazipur1704 Bangladesh School of Computing and Informatics University of Louisiana at Lafayette LafayetteLA United States Department of ICS King Fahd University of Petroleum & Minerals Dhahran Saudi Arabia

Accurate recognition of food items along with quality assessment is of paramount importance in the agricultural industry. Such automated systems can speed up the wheel of the food processing sector and save tons of manual labor. In this connection, the recent advancement of Deep learning-based architectures has introduced a wide variety of solutions offering remarkable performance in several classification tasks. In this work, we have exploited the concept of Densely Connected Convolutional Neural Networks (DenseNets) for fruit quality assessment. The feature propagation towards the deeper layers has enabled the network to tackle the vanishing gradient problems and ensured the reuse of features to learn meaningful insights. Evaluating on a dataset of 19,526 images containing six fruits having three quality grades for each, the proposed pipeline achieved a remarkable accuracy of 99.67%. The robustness of the model was further tested for fruit classification and quality assessment tasks where the model produced a similar performance, which makes it suitable for real-life applications. © 2022, CC BY.

关键词： Fruits

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Photonic Frequency Space Simulation of Tight-Binding Lattices Using Integrated LNOI Ring Resonators

Photonic Frequency Space Simulation of Tight-Binding Lattice...

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Pacific Rim Conference on Lasers and Electro-Optics (CLEO/Pacific Rim)

作者： Armandas Balčytis Hiep Dinh Tomoki Ozawa Yasutomo Ota Toshihiko Baba Satoshi Iwamoto Arnan Mitchell Thach G. Nguyen Integrated Photonics and Applications Centre RMIT University Melbourne VIC Australia Advanced Institute for Materials Research Tohoku University Sendai Japan Department of Applied Physics and Physico-Informatics Keio University Yokohama Japan Department of Electrical and Computer Engineering Yokohama National University Hodogaya-ku Yokohama Japan Research Center for Advanced Science and Technology The University of Tokyo Meguro-ku Tokyo Japan

We use electro-optically modulated ring cavities, integrated on thin-film lithium niobate, to model frequency dimension tight-binding lattices with versatile connectivity. Inter-mode coupling range, strength, and hopp... 详细信息

ISBN: (数字)9798350372076

ISBN: (纸本)9798350372083

关键词： Frequency modulation Lithium niobate Resonant frequency Lattices Electro-optic modulators Ring lasers Laser modes

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Delay Tolerant and Multipath Reliability for Energy Efficient Heterogeneous VANETs Network

Delay Tolerant and Multipath Reliability for Energy Efficien...

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Advanced engineering and Technologies (ICONNIC), International Conference on

作者： Zudha Pratama Ichwan Setiarso Sarmad Nozad Mahmood Mohammed Almohamadi Sameer Alani Fatima Hashim Abbas Razan Abdulhammed Ahmed H. Alkhayyat Rabei Raad Ali Informatics Engineering University of Dian Nuswantoro Kediri Indonesia Visual communication design University of Dian Nuswantoro Kediri Indonesia Computer Technology Engineering Al-Kitab University Kirkuk Iraq College of Information Technology Imam Ja'afar Al-Sadiq University Al-Muthanna Iraq Research Center University of Mashreq Baghdad Iraq Medical Laboratories Techniques Al-Mustaqbal University College Babil Iraq Department of Computer Engineering Technology Northern Technical University Mosul Iraq College of technical engineering The Islamic University Najaf Iraq

Vehicular Adhoc Networks (VANETs) provide communication among vehicles to build smart cities using Intelligent Transportation System (ITS). In this paper, we proposed Delay Tolerant and Multipath Reliability (DTMR) in VANETs. The simulation of the DTMR method is performed using OMNet++ network simulator with Simulation of Urban Mobility (SUMO). The parameters which are considered for the performance analysis are end-to-end delay, data failure rate, data success rate and throughput. The results show that the DTMR method produces 85ms lower end-to-end delay, 13% lower data failure rate, 93 % higher data success rate and 614 Kbps higher throughput. The proposed DTMR method has better overall performance than the ISFF and VDPR methods.

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