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arXiv 2023年

作者： Loffredo, Emanuele Vesconi, E. Razban, R. Peleg, O. Shakhnovich, E. Cocco, S. Monasson, R. Laboratory of Physics the Ecole Normale Supérieure CNRS UMR 8023 and PSL Research Sorbonne Université 24 rue Lhomond Paris75231 cedex 05 France Laufer Center for Physical and Quantitative Biology Stony Brook University Stony BrookNY United States Computer Science Dept University of Colorado Boulder BoulderCO80309 United States Santa Fe Institute Santa FeNM87501 United States and Ecology & Evolutionary Biology Physics Applied Math Dept University of Colorado Boulder BoulderCO80309 United States Department of Chemistry and Chemical Biology Harvard University CambridgeMA02138 United States

Understanding how a stressor applied on a biological system shapes its evolution is key to achieving targeted evolutionary control. Here we present a toy model of two interacting lattice proteins to quantify the response to the selective pressure defined by the binding energy. We generate sequence data of proteins and study how the sequence and structural properties of dimers are affected by the applied selective pressure, both during the evolutionary process and in the stationary regime. In particular we show that internal contacts of native structures lose strength, while inter-structure contacts are strengthened due to the folding-binding competition. We discuss how dimerization is achieved through enhanced mutability on the interacting faces, and how the designability of each native structure changes upon introduction of the stressor. Copyright © 2023, The Authors. All rights reserved.

关键词： Proteins

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On the Localization of Sensors using a Drone with UWB Antennas

On the Localization of Sensors using a Drone with UWB Antenn...

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2018 GEOSAFE Workshop on Robust Solutions for Fire Fighting, RSFF 2018

作者： Sorbelli, Francesco Betti Pinotti, Cristina M. Dept. of Computer Science and Math. University of Florence Italy Dept. of Computer Science and Math. University of Perugia Italy

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Modeling boundary conditions in high-order, nodal, time-domain finite element methods 23

Modeling boundary conditions in high-order, nodal, time-doma...

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23rd International Congress on Acoustics: Integrating 4th EAA Euroregio, ICA 2019

作者： Pind, Finnur Jeong, Cheol-Ho Hesthaven, Jan S. Engsig-Karup, Allan P. Strømann-Andersen, Jakob Henning Larsen Denmark Acoustic Technology Dept. of Electrical Engineering Technical University of Denmark Denmark Chair of Computational Mathematics and Simulation Science École polytechnique fédérale de Lausanne Switzerland Scientific Computing Dept. of Applied Mathematics and Computer Science Technical University of Denmark Denmark

ISBN: (纸本)9783939296157

Accurate modeling of boundary conditions is an important aspect in room acoustic simulations. It has been shown that the acoustics of rooms is not only dependent on the frequency characteristic of the complex boundary impedance, but also on the angle dependent properties of the impedance ("extended reaction"). This paper presents a computationally efficient method for modeling local-reaction (LR) and extended-reaction (ER) boundary conditions in high-order, nodal, time-domain finite element methods, such as the spectral element method (SEM) or the discontinuous Galerkin finite element method (DGFEM). The frequency and angle dependent boundary impedance is mapped to a multipole model and formulated in differential form. The solution of the boundary differential equations comes with minimal computational cost. In the ER model, wave splitting is applied at the boundary to separate the incident and reflected parts of the sound field. The directional properties of the incident sound field are determined from the incident particle velocity and the boundary conditions are adjusted continuously according to the wave angle of incidence. The accuracy of the boundary condition model is assessed by comparing simulations against measurements, where a significantly improved match between simulations and measurements is found when the ER model is used. © 2019 Proceedings of the International Congress on Acoustics. All rights reserved.

关键词： *fpin@ Extended-reaction High-order numerical methods Sound absorption Wave-based room acoustic simulations

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Effect of Density Change in Additively Manufactured Alloy 400 on High Temperature Oxidation Resistance

SSRN

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SSRN 2023年

作者： Dudziak, Tomasz Pawel Polkowski, Wojciech Šulák, Ivo Roth, Jan-Philipp Krupp, Ulrich Jahns, Katrin Wieliczko, Piotr Rząd, Ewa Chandran, Puneet Boroń, Lukasz Bisztyga-Szklarz, Magda Trujillo, Francisco Javier Perez Gustavo, García-Martín Lukasiewicz – Krakow Institute of Technology Zakopiańska 73 Krakow30-418 Poland Institute of Physics of Materials The Czech Academy of Sciences Žižkova 513/22 Brno616 00 Czech Republic Faculty of Engineering and Computer Science University of Applied Sciences Osnabrück Albrechtstrasse 30 OsnabrückD-49076 Germany IEHK - Institut für Eisenhüttenkunde Steel Institute RWTH Aachen University Intzestraße 1 AachenD-52072 Germany Research Group Surface Engineering and Nanostructured Materials Dept. Chemical and Materials Engineering Faculty of Chemical Sciences Universidad Complutense de Madrid Spain

This work aimed to investigate the steam oxidation resistance of additively manufactured Alloy 400 by the Laser Power Bed Fusion (LPBF) with different densities together with the hot extruded Alloy 400 at 650 – 750 oC for 500 h, EBSD/SEM/EDS analyses were carried out. The lowest mass gain was attributed to the hot extruded Alloy 400 at both temperatures. All the samples showed a high susceptibility to internal oxidation at 650 oC, at 750 °C a thick oxide scale rich in Cu and Ni was formed. The exposed samples showed no scale spallation and detachment of the oxide scale. © 2023, The Authors. All rights reserved.

关键词： Nickel

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E-Commerce Business Model Analysis and Success in Urban Areas Using AI-Distributed Machine Learning

E-Commerce Business Model Analysis and Success in Urban Area...

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Research Methodologies in Knowledge Management, Artificial Intelligence and Telecommunication Engineering (RMKMATE), International Conference on

作者： Akey Sungheetha B Bharathi D. Ganesan T. Karthikeyan N. Bindu Madhavi Chairma Lakshmi K R Dept. of CSE Alliance College of Engineering and Design Alliance University Bangalore Karnataka India Department of Computer Science and Engineering R.M.K. Engineering College Kavaraipettai Tamilnadu India Department of Management Studies Sona College of Technology Salem Tamilnadu India Department of Information Technology University of Technology and Applied Sciences Salalah Sultanate of Oman KL Business School & Programme Coordinator (MBA) KL Centre for Distance & Online Education(CDOE) Koneru Lakshmaiah Education Foundation (Deemed to be University) Andhra Pradesh India Department of Electronics and Instrumentation Engineering R.M.K. Engineering College India

This study presents a comprehensive analysis of the e-commerce business model success in urban areas through the integration of AI distributed machine learning techniques. The rapid growth of e-commerce in urban settings has led to increased competition among businesses striving to capture market share. To achieve a competitive edge, companies are increasingly turning to AI and machine learning to enhance various aspects of their operations. This research examines the symbiotic relationship between e-commerce success and AI technologies, specifically focusing on distributed machine learning role in optimizing operations, personalizing user experiences, and predicting market trends. By leveraging real-world case studies and empirical data, this study sheds light on the mechanisms through which AI distributed machine learning contributes to the sustainable development of e-commerce enterprises in urban environments. The findings of this study provide valuable insights for e-commerce businesses, urban planners, and policymakers to formulate strategies that foster a conducive ecosystem for e-commerce success in urban areas.

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Cluster head selection using genetic algorithm in wireless network 14

Cluster head selection using genetic algorithm in wireless n...

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14th IEEE Malaysia International Conference on Communication, MICC 2019

作者： Altakhayneh, Walaa A. Ismail, Mahamod Altahrawi, Mohammed A. Abufoul, Mohammed K. Universiti Kebangsaan Malaysia Department of Electrical Electronic and Systems Engineering UKM Bangi Selangor43600 Malaysia University College of Applied Science Dept. of Computer Technology and Idustrial Professions 1415 Palestine

ISBN: (纸本)9781728147376

Wireless sensor network (WSN) is one of the huge advance in wireless communication because its ability to gather a lot of information about the surrounding area that is deployed there by the use of hundreds and thousands nodes in the network. The nodes are responsible to gather and relay the data between each other to the Base Station (BS). The main issue here to be into consideration is the life time of the nodes and the number of packets that nodes are able to transfer from one node to another. This means that the energy of nodes is the parameters that should be optimized to let WSN works for a long time with efficient manner. To satisfy this, routing and clustering mechanisms should be energy aware. Because of this;chosen an efficient routing protocol with addition to a powerful technique of clustering is very important. In this paper, a Genetic Low Energy Adaptive Clustering (G-LEACH) is evaluated in 100 uniformly distributed wireless sensor networks in term of number of alive nodes, energy consumption, number of cluster heads and packets delivery to cluster heads. The election of cluster head is achieved by using genetic optimization approach which can determine the efficient and useful cluster heads. The results show that G-LEACH presents some advantages over the LEACH algorithm since the stability zone of the G-LEACH is greater than the stability zone of LEACH by 358 rounds since the first node dies after 1544 rounds in G-LEACH. That's mean;the network's lifetime lives 61.7% longer with the use of G-LEACH instead of LEACH. Meanwhile, the cluster heads are increased by 10% above LEACH when using G-LEACH. © 2019 IEEE.

关键词： Genetic algorithms

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A black-box adversarial attack strategy with adjustable sparsity and generalizability for deep image classifiers

arXiv

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arXiv 2020年

作者： Ghosh, Arka Mullick, Sankha Subhra Datta, Shounak Das, Swagatam Das, Asit Kr. Mallipeddi, Rammohan Electronics and Communication Sciences Unit Indian Statistical Institute Kolkata India Electrical and Computer Engineering Dept. Duke University United States Dept. of Computer Science & Technology Indian Institute of Engineering Science & Technology Shibpur India College of IT Engineering Kyungpook National University Korea Republic of School of Engineering & Applied Sciences Bennett University Greater Noida India

Constructing adversarial perturbations for deep neural networks is an important direction of research. Crafting image-dependent adversarial perturbations using white-box feedback has hitherto been the norm for such adversarial attacks. However, black-box attacks are much more practical for real-world applications. Universal perturbations applicable across multiple images are gaining popularity due to their innate generalizability. There have also been efforts to restrict the perturbations to a few pixels in the image. This helps to retain visual similarity with the original images making such attacks hard to detect. This paper marks an important step that combines all these directions of research. We propose the DEceit algorithm for constructing effective universal pixel-restricted perturbations using only black-box feedback from the target network. We conduct empirical investigations using the ImageNet validation set on the state-of-the-art deep neural classifiers by varying the number of pixels to be perturbed from a meager 10 pixels to as high as all pixels in the image. We find that perturbing only about 10% of the pixels in an image using DEceit achieves a commendable and highly transferable Fooling Rate while retaining the visual quality. We further demonstrate that DEceit can be successfully applied to image-dependent attacks as well. In both sets of experiments, we outperform several state-of-the-art methods. Copyright © 2020, The Authors. All rights reserved.

关键词： Pixels

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New Types of Neutrosophic Crisp Closed Sets

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Neutrosophic Sets and Systems 2020年 36卷 176-183页

作者： AL-Nafee, Ahmed B. Smarandache, Florentin Salama, A.A. Ministry of Education Open Educational College Math Dept. Babylon Iraq Deparment of Mathematics University of New Mexico705 Gurley AVE Gallup NM87301 United States Deparment of Mathematics and Computer Science Faculty of Science Port Said University Egypt

The neutrosophic sets were known since 1999, and because of their wide applications and their great flexibility to solve the problems, we used these the concepts to define a new types of neutrosophic crisp closed sets and limit points in neutrosophic crisp topological space, namly [neutrosophic crisp Gem sets and neutrosophic crisp Turig points ] respactvely, we stady their properties in details and join it with topological concepts. Finally we used [neutrosophic crisp Gem sets and neutrosophic crisp Turig points] to introduce of topological concepts as: neutrosophic crisp closed (open) sets, neutrosophic crisp closure, neutrosophic crisp interior, neutrosophic crisp extrior and neutrosophic crisp boundary which are fundamental for further reserch on neutrosophic crisp topology and will setrengthen the foundations of theory of neutrosophic topological spaces. © 2020. Neutrosophic Sets and Systems. All Rights Reserved.

关键词： Topology

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Two-hidden-layer feedforward networks are universal approximators: A constructive approach

arXiv

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arXiv 2019年

作者： Gonzalez-Diaz, Rocio Gutiérrez-Naranjo, Miguel A. Paluzo-Hidalgo, Eduardo Dept. of Applied Mathematics i University of Seville Dept. of Computer Science and Artificial Intelligence University of Seville

It is well known that Artificial Neural Networks are universal approximators. The classical result proves that, given a continuous function on a compact set on an n-dimensional space, then there exists a one-hidden-layer feedforward network which approximates the function. Such result proves the existence, but it does not provide a method for finding it. In this paper, a constructive approach to the proof of this property is given for the case of two-hidden-layer feedforward networks. This approach is based on an approximation of continuous functions by simplicial maps. Once a triangulation of the space is given, a concrete architecture and set of weights can be obtained. The quality of the approximation depends on the refinement of the covering of the space by simplicial complexes. Copyright © 2019, The Authors. All rights reserved.

关键词： Functions

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Exploiting linearity in dynamics solvers for the design of composable robotic manipulation architectures

Exploiting linearity in dynamics solvers for the design of c...

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2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

作者： Sven Schneider Herman Bruyninckx Dept. of Computer Science Bonn-Rhein-Sieg University of Applied Sciences Germany

We investigate two major limiting factors in the design and implementation of modern dynamics solvers that interfere with their full utilization in versatile, manipulation-driven robotic software architectures. The first limitation originates from the design of those solvers which aims at computational efficiency while neglecting composability. Instead, we advocate to design the solvers in such a way that they exploit linearity in the equations of motion to fully decompose the state of a kinematic chain. This enables a versatile recomposition and more flexible applications. Secondly, we have observed that most implementations follow the programming principle of information hiding. Consequently, the internal state that is used to compute motion control commands is withheld from other parts of the software architecture. We tackle this problem by following a dataflow programming paradigm and separating the software's dataflow from the control flow. Thereafter, we demonstrate those two simple, yet effective strategies to overcome the limitations along various case studies.

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