检索结果-内蒙古大学图书馆

A Reliable Method to Estimate the Bispectral Index Value Using a Single Frontal EEG Channel for Intra and Inter Subject Variability

学校读者我要写书评

暂无评论

A Reliable Method to Estimate the Bispectral Index Value Usi...

2023 IEEE International Symposium on Medical Measurements and Applications, MeMeA 2023

作者： Shahbakhti, Mohammad Beiramvand, Matin Krycinska, Roza Nasiri, Erfan Chen, Wei Sole-Casals, Jordi Wierzchon, Michal Broniec-Wojcik, Anna Augustyniak, Piotr Marozas, Vaidotas Biomedical Engineering Institute Kaunas University of Technology Kaunas Lithuania Tampere University Faculty of Information Technology and Communication Tempere Finland Jagiellonian University Medical College Doctoral School in Medical and Health Sciences Krakow Poland Jagiellonian University Collegium Medicum Department of Interdisciplinary Intensive Care Krakow Poland Allameh Tabataba'i University Faculty of Statistics Mathematics and Computer Tehran Iran Fudan University Center for Intelligent Medical Electronics School of Information Science and Technology Shanghai China University of Vic-Central University of Catalonia Data and Signal Processing Research Group Vic Spain Institute of Psychology Jagiellonian University Krakow Poland Agh University of Science and Technology Department of Biocybernetics and Biomedical Engineering Krakow Poland

ISBN: (纸本)9781665493840

Objective: Monitoring the depth of anesthesia (DoA) plays an important role for administering the drug injection during a surgery, i.e., preventing undesired awareness and inordinate anesthetic depth. Although the bispectral index (BIS) monitor is the golden standard system for the DoA monitoring, it is still not affordable for the developing countries. Alternatively, a low-cost electroencephalogram (EEG) headband can be used. The objective of this paper is to present a new algorithm for estimating the BIS values using a single frontal EEG channel. Method: In the first step, the EEG signal is filtered for the elimination of artifacts and is split into its sub-bands. In the second step, several linear and nonlinear features are extracted from each sub-band and fed to a random forest regression model in order to estimate the BIS. The performance of the proposed algorithm is assessed using EEG data recorded from twenty-four subjects during the general anesthesia and is validated in terms of correlation coefficient (CC) and absolute error (AE) between the reference and estimated BIS values. Results: The proposed algorithm achieved the mean CC of 0.83 and AE of 6.5 for intra subject variability and mean CC of 0.87 and AE of 5.5 for inter subject variability. Significance: Given the similar results for both intra and inter subject variability, the proposed algorithm has the potential to be used in the real-world scenario. © 2023 IEEE.

关键词： Electroencephalography

Trapping-influenced photoluminescence intensity decay in semiconductor nanoplatelets 6

学校读者我要写书评

暂无评论

Trapping-influenced photoluminescence intensity decay in sem...

6th International Conference on Metamaterials and Nanophotonics, METANANO 2021

作者： Kurilovich, A.A. Mantsevich, V.N. Stevenson, K.J. Chechkin, A.V. Palyulin, V.V. Center for Energy Science and Technology Skolkovo Institute of Science and Technology Moscow121205 Russia Chair of Semiconductors and Cryoelectronics and Quantum Technology Center Physics department Lomonosov Moscow State University Moscow119991 Russia Institute for Physics and Astronomy University of Potsdam Potsdam-GolmD-14476 Germany Akhiezer Institute for Theoretical Physics National Science Center Kharkov Institute of Physics and Technology" Kharkov61108 Ukraine Center for Computational and Data-intensive Science and Engineering Skolkovo Institute of Science and Technology Moscow121205 Russia

We present a diffusion-based simulation model for explanation of long time power-law decay of photoluminescence (PL) emission intensity in semiconductor nanoplatelets. In our model the shape of emission curves is an outcome of interplay of recombination, diffusion and trapping of excitons. At short times the excitons diffuse freely following the normal diffusion behaviour. The emission decay is purely exponential and is defined by recombination. At long times the transition into the subdiffusive motion happens and the emission occurs due to the release of excitons from surface traps. A power-law tail for intensity is a consequence of the release. The crossover from onelimit to another is controlled by diffusion properties. The approach reproduces the properties of experimental curves measured for different nanoplatelet systems. © 2021 institute of Physics Publishing. All rights reserved.

关键词： Excitons

Traffic Normalization for Covert Channel Protecting

学校读者我要写书评

暂无评论

Traffic Normalization for Covert Channel Protecting

IEEE NW Russia Young Researchers in Electrical and Electronic engineering Conference (EIConRusNW)

作者： Daria Frolova Konstsntin Kogos Anna Epishkina Center for Data Intensive Science and Engineering Skolkovo Institute of Science and Technology Moscow Russia National Research Nuclear University MEPhI Moscow Russia

ISBN: (数字)9781665404761

ISBN: (纸本)9781665446426

Nowadays a huge amount of sensitive information is sending via packet data networks and its security doesn't provided properly. Very often information leakage causes huge damage to organizations. One of the mechanisms to cause information leakage when it transmits through a communication channel is to construct a covert channel. Everywhere used packet networks provide huge opportunities for covert channels creating, which often leads to leakage of critical data. Moreover, covert channels based on packet length modifying can function in a system even if traffic encryption is applied and there are some data transfer schemes that are difficult to detect. The purpose of the paper is to construct and examine a normalization protection tool against covert channels. We analyze full and partial normalization, propose estimation of the residual covert channel capacity in a case of counteracting and determine the best parameters of counteraction tool.

关键词： Channel capacity Estimation Channel estimation Telecommunication traffic Tools Timing Security

Investigation of High-Precision Laser Instrument for Distance and Displacement Measurements

学校读者我要写书评

暂无评论

Investigation of High-Precision Laser Instrument for Distanc...

Laser science, LS 2021 - Part of Frontiers in Optics, FiO 2021

作者： Minin, Iurii Bulatov, Igor Korobov, Nikita Dubrov, Mstislav Fedorov, Maxim Skoltech Center for Computational and Data-Intensive Science and Engineering Skolkovo Institute of Science and Technology Bolshoy Boulevard 30 bld.1 Moscow121205 Russia Laboratory of Artificial Media and Structures Fryazino Branch of Kotel'nikov Institute of Radio-Engineering and Electronics of RAS Vvedenskiy sq. 1 Moscow Region Fryazino141190 Russia Phystech School of Radio Engineering and Computer Technology Moscow Institute of Physics and Technology Institutskiy per. 9 Dolgoprudny Moscow Region 141701 Russia

The novel high-precision measurement method was proposed. The considered method possesses laser-interferometric precision, does not require to move any external mirrors over full measuring basis, and can be applied to... 详细信息

ISBN: (纸本)9781557528209

关键词： Laser interferometry

Lifted reed-solomon codes and lifted multiplicity codes

学校读者我要写书评

暂无评论

arXiv 2021年

作者： Holzbaur, Lukas Polyanskaya, Rina Polyanskii, Nikita Vorobyev, Ilya Yaakobi, Eitan Institute for Communications Engineering Technical University of Munich Germany Institute for Information Transmission Problems Russian Academy of Sciences Russia Center for Computational and Data-Intensive Science and Engineering Skolkovo Institute of Science and Technology Russia Computer Science Department Technion — Israel Institute of Technology Israel

Lifted Reed-Solomon and multiplicity codes are classes of codes, constructed from specific sets of m-variate polynomials. These codes allow for the design of high-rate codes that can recover every codeword or information symbol from many disjoint sets. Recently, the underlying approaches have been combined for the bi-variate case to construct lifted multiplicity codes, a generalization of lifted codes that can offer further rate improvements. We continue the study of these codes by first establishing new lower bounds on the rate of lifted Reed-Solomon codes for any number of variables m, which improve upon the known bounds for any m ≥ 4. Next, we use these results to provide lower bounds on the rate and distance of lifted multiplicity codes obtained from polynomials in an arbitrary number of variables, which improve upon the known results for any m ≥ 3. Specifically, we investigate a subcode of a lifted multiplicity code formed by the linear span of m-variate monomials whose restriction to an arbitrary line in Fmq is equivalent to a low-degree univariate polynomial. We find the tight asymptotic behavior of the fraction of such monomials when the number of variables m is fixed and the alphabet size q = 2 is large. Using these results, we give a new explicit construction of batch codes utilizing lifted Reed-Solomon codes. For some parameter regimes, these codes have a better trade-off between parameters than previously known batch codes. Further, we show that lifted multiplicity codes have a better trade-off between redundancy and the number of disjoint recovering sets for every codeword or information symbol than previously known constructions, thereby providing the best known PIR codes for some parameter regimes. Additionally, we present a new local self-correction algorithm for lifted multiplicity codes. Copyright © 2021, The Authors. All rights reserved.

关键词： Reed-Solomon codes

Feature Guided Training and Rotational Standardisation for the Morphological Classification of Radio Galaxies

学校读者我要写书评

暂无评论

arXiv 2023年

作者： Brand, Kevin Grobler, Trienko L. Kleynhans, Waldo Vaccari, Mattia Prescott, Matthew Becker, Burger Computer Science Department Stellenbosch University Cnr Banghoek Road & Joubert Street Stellenbosch7600 South Africa Department of Electrical Electronic and Computer Engineering University of Pretoria Pretoria South Africa Inter-University Institute for Data Intensive Astronomy Department of Astronomy University of Cape Town Rondebosch Cape Town7701 South Africa Inter-University Institute for Data Intensive Astronomy Department of Physics and Astronomy University of the Western Cape Robert Sobukwe Road Bellville Cape Town7535 South Africa INAF - Istituto di Radioastronomia via Gobetti 101 Bologna40129 Italy

State-of-the-art radio observatories produce large amounts of data which can be used to study the properties of radio galaxies. However, with this rapid increase in data volume, it has become unrealistic to manually process all of the incoming data, which in turn led to the development of automated approaches for data processing tasks, such as morphological classification. Deep learning plays a crucial role in this automation process and it has been shown that convolutional neural networks (CNNs) can deliver good performance in the morphological classification of radio galaxies. This paper investigates two adaptations to the application of these CNNs for radio galaxy classification. The first adaptation consists of using principal component analysis (PCA) during preprocessing to align the galaxies’ principal components with the axes of the coordinate system, which will normalize the orientation of the galaxies. This adaptation led to a significant improvement in the classification accuracy of the CNNs and decreased the average time required to train the models. The second adaptation consists of guiding the CNN to look for specific features within the samples in an attempt to utilize domain knowledge to improve the training process. It was found that this adaptation generally leads to a stabler training process and in certain instances reduced overfitting within the network, as well as the number of epochs required for training. Copyright © 2023, The Authors. All rights reserved.

关键词： Deep learning

A "String Art" Approach to the Design and Manufacturing of Optimal Composite Materials and Structures

学校读者我要写书评

暂无评论

arXiv 2020年

作者： Ostanin, Igor Center for Computational and Data-Intensive Science and Engineering Skolkovo Institute of Science and Technology Moscow Russia

In this paper we report a new promising idea on the design and manufacturing of ply composite structures, tailored to exhibit maximum stiffness under given weight constraints and loading conditions. It is based on the idea behind an artistic technique known as "string art" - the representation of an image with a single thread, tensioned between pins on the flat frame. A discrete optimization algorithm has been employed recently to formalize the process of finding a configuration of thread windings that fuses into a given greyscale image. We demonstrate how this algorithm can be employed to approximate the two-dimensional distribution of isotropic material, computed by a conventional topology optimization algorithm. An optimal composite design is thus found as a result of the following two-stage process. At the first stage, topology optimization procedure produces regular grid of greyscale values of stiffness. At the second stage, this distribution is approximated with a polyline, representing the stiff reinforcement fiber in a soft matrix, according to "string art" optimization algorithm. The efficiency of the proposed approach is illustrated with few simple numerical examples. Our development opens a wide avenue for the industrial design of the new generation of fibrous composite structures. Copyright © 2020, The Authors. All rights reserved.

关键词： Manufacture

Bayesian generative models for knowledge transfer in MRI semantic segmentation problems

学校读者我要写书评

暂无评论

arXiv 2020年

作者： Kuzina, Anna Egorov, Evgenii Burnaev, Evgeny Skolkovo Institute of Science and Technology Center for Computational and Data-Intensive Science and Engineering Moscow Russia

Automatic segmentation methods based on deep learning have recently demonstrated state-of-the-art performance, outperforming the ordinary methods. Nevertheless, these methods are inapplicable for small datasets, which are very common in medical problems. To this end, we propose a knowledge transfer method between diseases via the Generative Bayesian Prior network. Our approach is compared to a pre-train approach and random initialization and obtains the best results in terms of Dice Similarity Coefficient metric for the small subsets of the Brain Tumor Segmentation 2018 database (BRATS2018). Copyright © 2020, The Authors. All rights reserved.

关键词： Tumors

Optimal Multistage Group Testing Algorithm for 3 Defectives

学校读者我要写书评

暂无评论

Optimal Multistage Group Testing Algorithm for 3 Defectives

IEEE International Symposium on Information Theory

作者： Ilya Vorobyev Center for Computational and Data-Intensive Science and Engineering Skolkovo Institute of Science and Technology Moscow Russia

The following topics are dealt with: channel coding; computational complexity; decoding; channel capacity; probability; optimisation; error correction codes; learning (artificial intelligence); graph theory; and data ...

ISBN: (数字)9781728164328

ISBN: (纸本)9781728164335

关键词：