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Food Resources in Food system Technology: Bifunctional Food system Technology Based on Pickering Emulsions 6

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Food Resources in Food System Technology: Bifunctional Food ...

6th Smart Cities Symposium, SCS 2022

作者： Potoroko, Irina Kadi, Ammar Paymulina, Anastasia Bagale, Uday Abotaleb, Mostafa El-Kenawy, El-Sayed M. Department of Food and Biotechnology South Ural State University Chelyabinsk454080 Russia Siberian Federal Scientific Center of Agro-Bio Technologies of the Russian Academy of Sciences Novosibirsk region Krasnoobsk Russia Department of System Programming South Ural State University Chelyabinsk454080 Russia Department of Communications and Electronics Delta Higher Institute of Engineering and Technology Mansoura Egypt

ISBN: (纸本)9781839538544

The development of domestically generated food additives based on eco-technologies with specified functional-technological and bioactive qualities is now a significant focus of contemporary study. Pickering emulsions are more stable both physically and chemically, making them a highly promising method of introducing biologically active chemicals into the body. The purpose of this research was to determine if ultrasound could be used to create a bioactive colloidal Pickering emulsion system using flax cellulose or brown algal polysaccharides as a stabilizer. Pickering emulsions stabilized with fucoidan, sodium alginate, or flax cellulose, based on a lipid fraction of sunflower oil and cinnamon oil blend, or a lipid fraction of linseed oil, were applied to the subjects, who were then subjected to ultrasound treatment at 630W/l for 16 min (4 min on, 3 min off) at a controlled temperature of 50 °C. The results obtained demonstrate the effectiveness of using ultrasonic exposure to create bioactive Pickering emulsion colloidal systems. Fucoidan stabilizes pickering emulsion, with the highest AOA values (5.120±0.005 DPPH, %) and a rise in AOA values in linseed oil-based emulsion samples from 30% to 100% in comparison to emulsion samples based on a blend of lipid phases. The viscoelastic characteristics of Pickering emulsions with various oil fractions vary dramatically for the integrated structure-forming components. © 2022 IET Conference Proceedings. All rights reserved.

关键词： Flax

ADVERSARIAL ATTACKS AND DEFENSES IN FAULT DETECTION AND DIAGNOSIS: A COMPREHENSIVE BENCHMARK ON THE TENNESSEE EASTMAN PROCESS

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arXiv 2024年

作者： Pozdnyakov, Vitaliy Kovalenko, Aleksandr Makarov, Ilya Drobyshevskiy, Mikhail Lukyanov, Kirill AIRI Moscow Russia ISP RAS Research Center for Trusted Artificial Intelligence Moscow Russia Ivannikov Institute for System Programming of the Russian Academy of Sciences Moscow Russia Moscow Russia

Integrating machine learning into Automated Control systems (ACS) enhances decision-making in industrial process management. One of the limitations to the widespread adoption of these technologies in industry is the vulnerability of neural networks to adversarial attacks. This study explores the threats in deploying deep learning models for Fault Detection and Diagnosis (FDD) in ACS using the Tennessee Eastman Process dataset. By evaluating three neural networks with different architectures, we subject them to six types of adversarial attacks and explore five different defense methods. Our results highlight the strong vulnerability of models to adversarial samples and the varying effectiveness of defense strategies. We also propose a new defense strategy based on combining adversarial training and data quantization. This research contributes several insights into securing machine learning within ACS, ensuring robust FDD in industrial processes. © 2024, CC BY-NC-ND.

关键词： Decision making

Upper bounds on the maximum admissible level of noise in zeroth-order optimisation

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arXiv 2023年

作者： Pasechniuk, Dmitrii A. Lobanov, Aleksandr Gasnikov, Alexander Mohamed bin Zayed University of Artificial Intelligence United Arab Emirates Moscow Institute of Physics and Technology Dolgoprudny Russia Kharkevich Institute for Information Transmission Problems RAS Russia Ivannikov Institute for System Programming RAS Russia Skoltech Russia

MSC Codes 65K10In this paper, we leverage an information-theoretic upper bound on the maximum admissible level of noise (MALN) in convex Lipschitz-continuous zeroth-order optimisation to establish corresponding upper bounds for classes of strongly convex and smooth problems. We derive these bounds through non-constructive proofs via optimal reductions. Furthermore, we demonstrate that by employing a one-dimensional grid-search algorithm, one can devise an algorithm for simplex-constrained optimisation that offers a superior upper bound on the MALN compared to the case of ball-constrained optimisation and estimates asymptotic in dimensionality. © 2023, CC BY.

关键词： Constrained optimization

Enhancing Cloud Security through Efficient Polynomial Approximations for Homomorphic Evaluation of Neural Network Activation Functions

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Enhancing Cloud Security through Efficient Polynomial Approx...

Cluster, Cloud and Internet Computing Workshops (CCGridW), IEEE/ACM International Symposium on

作者： Bernardo Pulido-Gaytan Andrei Tchemykh Mikhail Babenko Jorge M. Cortés-Mendoza Horacio González-Vélez Arutyun Avetisyan CICESE Researeh Center Ensenada Baja California Mexico Institute for System Programming RAS Moscow Russia North-Caucasus Federal University Stavropol Russia National College of Ireland Dublin Ireland

ISBN: (数字)9798350377514

ISBN: (纸本)9798350377521

Current security cloud practices can successfully protect stored data and data in transit, but they do not keep the same protection during data processing. The data value extraction requires decryption, creating critical exposure points. As a result, privacy-preserving techniques are emerging as a crucial consideration in cloud computing. The homomorphic processing of machine learning models in the cloud represents a central challenge. The activation function is fundamental in constructing a privacy-preserving Neural Network (NN) with Homomorphic Encryption (HE). Standard activation functions require operations not supported by HE, so it is necessary to find cryptographically compatible replacement functions to operate over encrypted data. Multiple approaches address the limitation of function compatibility with polynomial approximation. These functions should exhibit a trade-off between complexity and accuracy, limiting the efficiency of conventional approximation techniques. The current literature on polynomial approximation of NN activation functions still lacks a thorough review. In this paper, we comprehensively review the standard activation functions of modern NN models and current polynomial approximation approaches. We highlight fundamental features to consider in the activation function and the approximation technique to operate over encrypted data.

关键词： Privacy Accuracy Reviews Computational modeling Artificial neural networks Data processing Polynomials Cryptography Standards Biological neural networks

Erratum to: Methods of Spatial Indexing of Dynamic Scenes Based on Regular Octrees

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programming and Computer Software 2019年第6期44卷 554-554页

作者： V. A. Zolotov K. S. Petrishchev V. A. Semenov Institute for System Programming Russian Academy of Sciences Moscow Russia Institute for System Programming of the Russian Academy of Moscow Russia

https://***/10.1134/S0361768816060098

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Forecasting nonlinear nonstationary processes in machine learning task 3

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Forecasting nonlinear nonstationary processes in machine lea...

3rd IEEE International Conference on Data Stream Mining and Processing, DSMP 2020

作者： Bidyuk, Peter Gozhyj, Aleksandr Kalinina, Irina Vysotska, Victoria Vasilev, Mikhail Malets, Romanna Department of Mathematical Methods of System Analysis National Technical University of Ukraine Igor Sikorsky Kyiv Polytechnic Institute Kyiv Ukraine Petro Mohyla Black Sea National University Department of Intelligent Information Systems Nikolaev Ukraine National University Lvivska Politechnika Department of Information Systems and Networks Lviv Ukraine Ivan Franko Lviv National University Programming Department Lviv Ukraine

ISBN: (纸本)9781728132143

The article discusses the features of the solving the forecasting problems using machine learning techniques. The issues of accounting and correctly processing non-linear non-stationary processes in the problems of modeling and forecasting time series in various areas are considered. The analysis of stages and methods for solving machine learning problems. As an example, consider the problem of predicting currency pairs based on historical data. A comparative analysis of the normalization methods in data clustering is given. For the six currency pairs a short-term forecast is proposed. © 2020 IEEE.

关键词： Machine learning

Stochastic Gradient Methods with Preconditioned Updates

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arXiv 2022年

作者： Sadiev, Abdurakhmon Beznosikov, Aleksandr Almansoori, Abdulla Jasem Kamzolov, Dmitry Tappenden, Rachael Takáč, Martin Ivannikov Institute for System Programming Moscow Russia Moscow Institute of Physics and Technology Moscow Russia Mohamed bin Zayed University of Artificial Intelligence Abu Dhabi United Arab Emirates University of Canterbury Christchurch New Zealand

This work considers the non-convex finite sum minimization problem. There are several algorithms for such problems, but existing methods often work poorly when the problem is badly scaled and/or ill-conditioned, and a primary goal of this work is to introduce methods that alleviate this issue. Thus, here we include a preconditioner based on Hutchinson’s approach to approximating the diagonal of the Hessian, and couple it with several gradient-based methods to give new ‘scaled’ algorithms: Scaled SARAH and Scaled L-SVRG. Theoretical complexity guarantees under smoothness assumptions are presented. We prove linear convergence when both smoothness and the PL condition are assumed. Our adaptively scaled methods use approximate partial second-order curvature information and, therefore, can better mitigate the impact of badly scaled problems. This improved practical performance is demonstrated in the numerical experiments also presented in this work. Copyright © 2022, The Authors. All rights reserved.

关键词： Gradient methods

Control of Overfitting with Physics

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arXiv 2024年

作者： Kozyrev, Sergei V. Lopatin, Ilya A. Pechen, Alexander N. Steklov Mathematical Institute of Russian Academy of Sciences Gubkina St. 8 Moscow119991 Russia Ivannikov Institute for System Programming The Russian Academy of Sciences Alexandra Solzhenitsyna str. 25 Moscow109004 Russia

While there are many works on the applications of machine learning, not so many of them are trying to understand the theoretical justifications to explain their efficiency. In this work, overfitting control (or generalization property) in machine learning is explained using analogies from physics and biology. For stochastic gradient Langevin dynamics, we show that the Eyring formula of kinetic theory allows to control overfitting in the algorithmic stability approach—when wide minima of the risk function with low free energy correspond to low overfitting. For the generative adversarial network (GAN) model, we establish an analogy between GAN and the predator–prey model in biology. An application of this analogy allows us to explain the selection of wide likelihood maxima and overfitting reduction for GANs. Copyright © 2024, The Authors. All rights reserved.

关键词： Generative adversarial networks

A Case Study of Valency Patterns for Motion Verbs in Vakh Khanty by Means of Lingvodoc

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A Case Study of Valency Patterns for Motion Verbs in Vakh Kh...

Ivannikov ISPRAS Open Conference (ISPRAS)

作者： Irina Novitskaya Victoria Vorobeva Department of Foreign Languages National Research Tomsk State University Tomsk Russian Federation Information Systems Department Ivannikov Institute for System Programming of the RAS TPU Moscow Tomsk Russian Federation

The article presents a study of the syntactic compatibility of verbs of motion in the Vakh dialect of the Khanty language. The study was conducted with the help of the tools of the platform for documentation of the Uralic languages Lingvodoc. The purpose of the article is to describe patterns of syntactic valency that Vakh Khanty verbs of motion have.

关键词： Documentation Syntactics