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2024 International Conference on Advances in Electrical and Communication Technologies, ICAECOT 2024

作者： Melouka, Rania Ibtissam Ben Ouguissi, Hadda Alaoui, Nail Benmelouka, Messouda Kirech, Sofian Mashat, Arwa Dept. of Electronics Sétif19000 Algeria Laghouat Algeria University of Djelfa Laboratoire de Recherche Modélisation Simulation et Optimisation des Systémes Complexes Réels Djelfa17000 Algeria University Ziane Achour of Djelfa Telecommunications and Smart Systems Laboratory Djelfa17000 Algeria King Abdulaziz University Faculty of Computing and Information Technology Department of Information Systems P.O. Box 344 Rabigh21911 Saudi Arabia

ISBN: (纸本)9798350353754

This research investigates the use of metamaterial integration and the miniaturisation process as a novel approach to antenna design. To enhance the frequency utilisation and minimise the antenna size, we suggest a novel method. The interaction between the two separate ring resonators relies on this resonant component using this manner. The characteristics examined in this experiment include the resonance frequency, the absence of response, the wavelength, the quantity of radiation, and the antenna's gain and power output. CST is responsible for conducting all simulation effects. © 2024 IEEE.

关键词： Metamaterials

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Phase behavior of symmetric diblock copolymers under 3D soft confinement

arXiv

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arXiv 2024年

作者： He, Zhijuan Huang, Jin Jiang, Kai Shi, An-Chang School of Mathematics and Computational Science Xiangtan University Hunan Key Laboratory for Computation and Simulation in Science and Engineering Key Laboratory of Intelligent Computing and Information Processing Ministry of Education 411105 China Laboratory of Mathematics and Complex Systems Ministry of Education School of Mathematical Sciences Beijing Normal University Beijing100875 China Department of Physics and Astronomy McMaster University HamiltonONL8S 4M1 Canada

The phase behavior of symmetric diblock copolymers under three-dimensional (3D) soft confinement is investigated using the self-consistent field theory. The soft confinement is realized in binary blends composed AB diblock copolymers and C homopolymers, where the copolymers self-assemble to form a droplet embedded in the homopolymer matrix. The phase behavior of the confined block copolymers is regulated by the degree of confinement and the selectivity of the homopolymers, resulting in a rich variety of novel structures. When the C homopolymers are neutral to the A- and B-blocks, stacked lamellae (SL) are formed where the number of layers increases with the droplet volume, resulting in a morphological transition sequence from Janus particle to square SL. When the C homopolymers are strongly selective to the B-blocks, a series of non-lamellar morphologies, including onion-, hamburger-, cross-, ring-, and cookie-like structures, are observed. A detailed free energy analysis reveals a first-order reversible transformation between SL and onion-like (OL) structures when the selectivity of the homopolymers is changed. Our results provide a comprehensive understanding of how various factors, such as the copolymer concentration, homopolymer chain length, degree of confinement, homopolymer selectivity, affect the self-assembled structures of diblock copolymers under soft 3D confinement. Copyright © 2024, The Authors. All rights reserved.

关键词： Free energy

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highMLR: An open-source package for R with machine learning for feature selection in high dimensional cancer clinical genome time to event data

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Expert systems with Applications 2022年第0期210卷

作者： Bhattacharjee, Atanu Vishwakarma, Gajendra K. Banerjee, Souvik Pashchenko, Alexander F. Section of Biostatistics Centre for Cancer Epidemiology Tata Memorial Centre India Homi Bhabha National Institute Mumbai India Department of Mathematics & Computing Indian Institute of Technology Dhanbad Dhanbad India Laboratory of Intellectual Control Systems and simulation V. A. Trapeznikov Institute of Control Sciences of Russian Academy of Sciences Russia

Machine learning techniques, popularly used as a tool for dimensionality reduction and pattern recognition of features, have been utilized extensively in data mining. In survival analysis, where the primary outcome is the time until a specific event occurs, identifying relevant features for building an efficient prediction model is essential. This is where machine learning can be a suitable option. However, there is an existing gap in utilizing machine learning techniques in high-dimensional survival data due to the non-availability of convenient programming functions and packages. In this article, we have developed an efficient machine learning procedure for analyzing survival data associated with high-dimensional gene expressions. Though there are several R libraries available for performing machine learning, no package support is available to implement machine learning with classification on high-dimensional survival data. highMLR, our developed R package, is capable of implementing machine learning methods on high dimensional survival data and provides a way of feature selection based on the logarithmic loss function. Several statistical methods for survival analysis have been incorporated into this machine learning algorithm. A high-dimensional gene expression dataset has been analyzed using the proposed R library to show its efficacy in feature selection. © 2022 Elsevier Ltd

关键词： Gene expression

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COMBINED EFFECTS OF HEAT LOSS AND CURVATURE ON TURBULENT FLAME-WALL INTERACTION IN A PREMIXED DIMETHYL ETHER/AIR FLAME

arXiv

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arXiv 2023年

作者： Kaddar, Driss Steinhausen, Matthias Zirwes, Thorsten Bockhorn, Henning Hasse, Christian Ferraro, Federica Technical University of Darmstadt Department of Mechanical Engineering Simulation of reactive Thermo-Fluid Systems Otto-Berndt-Straße 2 Darmstadt64287 Germany Engler-Bunte-Institute Karlsruhe Institute of Technology Engler-Bunte-Ring 7 Karlsruhe76131 Germany Steinbuch Centre for Computing Karlsruhe Institute of Technology Hermann-von-Helmholtz-Platz 1 Eggenstein-Leopoldshafen76344 Germany

This study investigates the effects of curvature on the local heat release rate and mixture fraction during turbulent flame-wall interaction of a lean dimethyl ether/air flame using a fully resolved simulation with a reduced skeletal chemical reaction mechanism and mixture-averaged transport. The region in which turbulent flame-wall interaction affects the flame is found to be restricted to a wall distance less than twice the laminar flame thickness. In regions without heat losses, heat release rate and curvature, as well as mixture fraction and curvature, are negatively correlated, which is in accordance with experimental findings. Flame-wall interaction alters the correlation between heat release rate and curvature. An inversion in the sign of the correlation from negative to positive is observed as the flame starts to experience heat losses to the wall. The correlation between mixture fraction and curvature, however, is unaffected by flame-wall interactions and remains negative. Similarly to experimental findings, the investigated turbulent side-wall quenching flame shows both head-on quenching and side-wall quenching-like behavior. The different quenching events are associated with different curvature values in the near-wall region. Furthermore, for medium heat loss, the correlations between heat release rate and curvature are sensitive to the quenching scenario. © 2023, CC BY-NC-ND.

关键词： Quenching

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Improving quantum thermal transistors through feedback-controlled baths

APL Quantum

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APL Quantum 2024年第3期1卷

作者： Uthpala N. Ekanayake Sarath D. Gunapala Malin Premaratne Advanced Computing and Simulation Laboratory (AχL) Department of Electrical and Computer Systems Engineering Monash University Clayton Victoria 3800 Australia Jet Propulsion Laboratory California Institute of Technology Pasadena California 91109 USA

In recent years, integrating quantum feedback mechanisms into thermal machines has gained attention due to its benefits in manipulating the system states and energy flows. This is particularly advantageous for quantum thermal transistors in preserving their inherent quantum properties as they lose the purity of the system states due to decoherence and relaxation from interactions with thermal baths, within the subsystems, and monitoring. In the literature, studies have demonstrated that preserving quantum coherence can enhance the performance of quantum thermal machines, improving their efficiency. In our paper, we present a model that proposes engineering baths to be equipped with detectors and a controller to enable feedback in a quantum thermal transistor that emulates a role played by a feedback resistor in an electronic transistor. We use the framework of quantum feedback control via weak monitoring. We modify the system evolution trajectories by using a weak monitoring record from a detector. By taking the ensemble average of these trajectories, we unveil the evolution of the system density matrix that corresponds to the Markovian dynamics of the transistor. This type of feedback introduces minimal perturbation to the system and, once tuned, enhances the system coherence that would otherwise degrade due to bath interactions. Furthermore, there will be no change in the relaxation times. The probabilities of population terms remain unchanged. We treat this an enhancement in the operational characteristics of the quantum thermal transistor as it maintains its quantum features with an added benefit of improved amplification capabilities.

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Dipole antenna design for RFID technology at 2.45 GHz by using metamaterials

Dipole antenna design for RFID technology at 2.45 GHz by usi...

引用

Advances in Electrical and Communication Technologies (ICAECOT), International Conference on

作者： Rania Ibtissam Ben Melouka Hadda Ouguissi Nail Alaoui Messouda Benmelouka Sofian Kirech Arwa Mashat Dept. of Electronics Laboratoire d’Electronique de Puissance et Commande Industrielle (LEPCI) University of Ferhat AbbasSétif -1- Sétif Algeria Faculty of Technology Materials Energetic Systems Renewable Energies and Energy Management Laboratory (LMSEERGE) Ammar Thelidji University of Laghouat Laghouat Algeria Laboratoire de Recherche Modélisation Simulation et Optimisation des Systémes Complexes Réels University of Djelfa Djelfa Algeria Telecommunications and Smart Systems Laboratory University Ziane Achour of Djelfa Djelfa Algeria Department of Information Systems Faculty of Computing and Information Technology King Abdulaziz University P. O. Box 344 Rabigh Saudi Arabia

ISBN: (数字)9798350353754

ISBN: (纸本)9798350353761

This research investigates the use of metamaterial integration and the miniaturisation process as a novel approach to antenna design. To enhance the frequency utilisation and minimise the antenna size, we suggest a novel method. The interaction between the two separate ring resonators relies on this resonant component using this manner. The characteristics examined in this experiment include the resonance frequency, the absence of response, the wavelength, the quantity of radiation, and the antenna’s gain and power output. CST is responsible for conducting all simulation effects.

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Enhanced thermal rectification in coupled qutrit–qubit quantum thermal diode

APL Quantum

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APL Quantum 2024年第4期1卷

作者： Anuradhi Rajapaksha Sarath D. Gunapala Malin Premaratne Advanced Computing and Simulation Laboratory(AχL) Department of Electrical and Computer Systems Engineering Monash University Clayton Victoria 3800 Australia Jet Propulsion Laboratory California Institute of Technology Pasadena California 91109 USA

We present a quantum thermal diode model based on a coupled qutrit–qubit system designed to control heat flow between two thermal baths with unprecedented efficiency. This differs from previous models in terms of the asymmetry introduced by spin particles and their interaction. By exploiting the interactions between degenerate states within the coupled qutrit–qubit system, our model demonstrates diode-like behavior that is both robust and energy-efficient. Utilizing the frameworks of open quantum systems and the quantum Markovian master equation, with the Born and rotating wave approximations, we comprehensively analyze the system’s behavior. Numerical simulations reveal significant thermal rectification across a wide temperature range, positioning our model as a groundbreaking solution for nanoscale heat management. In addition, we employ state transition diagrams to elucidate the transition rate characteristics that underpin the diode behavior. Finally, we explore the potential for physical implementation using superconducting circuits, highlighting the practical relevance of our design.

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The exact asymptotic form of Bayesian generalization error in latent dirichlet allocation

arXiv

引用

arXiv 2020年

作者： Hayashi, Naoki Department of Simulation & Mining NTT DATA Mathematical Systems Inc Japan Department of Mathematical and Computing Science Tokyo Institute of Technology Japan

Latent Dirichlet allocation (LDA) obtains essential information from data by using Bayesian inference. It is applied to knowledge discovery via dimension reducing and clustering in many fields. However, its generalization error had not been yet clarified since it is a singular statistical model where there is no one to one map from parameters to probability distributions. In this paper, we give the exact asymptotic form of its generalization error and marginal likelihood, by theoretical analysis of its learning coefficient using algebraic geometry. The theoretical result shows that the Bayesian generalization error in LDA is expressed in terms of that in matrix factorization and a penalty from the simplex restriction of LDA’s parameter *** Codes 62F15 (Primary) 62R01 (Secondary) Copyright © 2020, The Authors. All rights reserved.

关键词： Statistics

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Risk Management in Stochastic Problems of Stock Investment 13

Risk Management in Stochastic Problems of Stock Investment

引用

13th International Conference Management of Large-Scale System Development, MLSD 2020

作者： Gorelik, Victor Zolotova, Tatiana Moscow State Pedagogical University Department of Simulation Systems and Operations Research Institute of Mathematics and Computer Science Dorodnicyn Computing Centre Frc Csc Ras Moscow Russia Financial University under the Government of the Russian Federation Department of Data Analysis Decision Making and Financial Technologies Moscow Russia

ISBN: (数字)9781728110943

ISBN: (纸本)9781728110943

We consider a game with nature as a decision-making model in stochastic problems of stock investment. The mathematical expectation of the investor's gain is taken as an assessment of efficiency. The standard deviation is used as an assessment of risk. The emerging two-criterion problem is formalized using the method of translating one criterion into a constraint. The case of pure strategies (the choice of one investment option) and the case of mixed strategies (diversification of investment) are considered. For the case of mixed strategies, either the problem of maximizing a linear function with one linear and one quadratic constraint or the problem of minimizing a quadratic function with two linear constraints arises. Analytical solution methods based on the Karush-Kuhn-Tucker optimality conditions are obtained for both problems. Practical examples of the application of these methods using real statistical data are given. © 2020 IEEE.

关键词： Investments

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Topical Issue Scientific Machine Learning (1/2)

引用

GAMM Mitteilungen 2021年第1期44卷 e202100010-e202100010页

作者： Benner, Peter Klawonn, Axel Stoll, Martin Computational Methods in Systems and Control Theory Max Planck institute for Dynamics of Complex Technical Systems Magdeburg Germany Fakultät für Mathematik Otto-von-Guericke Universität Magdeburg Germany Department of Mathematics and Computer Science University of Cologne Germany Center for Data and Simulation Science University of Cologne Germany Chair of Scientific Computing Department of Mathematics TU Chemnitz Germany

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