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5th IEEE KhPI Week on Advanced technology, KhPIWeek 2024

作者： Poddubnyi, Vadym Gvozdov, Roman Sievierinov, Oleksandr Sukhoteplyi, Vladyslav Bulba, Serhii Lysytsia, Dmytro Department of of information technology security Kharkiv National University of Radio Electronic Kharkiv Ukraine Department of Computer Engineering and Programming Ivan Kozhedub Kharkiv National Air Force University Kharkiv Ukraine Department of Computer Engineering and Programming National Technical University "Kharkiv Polytechnic Institute" Kharkiv Ukraine

ISBN: (纸本)9798350384499

the article proposes a method of zero-watermarking for colored RGB bitmap images. This algorithm can be used to protect property rights to multimedia resources in which it is impossible to use ordinary watermarks due to the impossibility of changing the image (such as medical data where high accuracy is required and the appearance of artifacts is unacceptable) or due to the presence of a higher distortion of the container. This algorithm is based on DWT, SVD and operations in the field by modulo 256. The software implementation of the algorithm was developed (using the Accord and *** libraries to implement DWT, SVD). The software implementation of the algorithm was tested. This algorithm has advantages in the form of normalization of the average error, but it needs further research to improve its performance. ©2024 IEEE.

关键词： Image reconstruction

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Concept of an Optical Distance and Speed Sensor Using Novel Offsetless Spatial Frequency Filters in the Area of Functional Safety 32

Concept of an Optical Distance and Speed Sensor Using Novel ...

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32nd IEEE International Symposium on Industrial Electronics, ISIE 2023

作者： Wasinski, Frank Bonath, Werner Ricklefs, Ubbo Borcsok, Josef Schwarz, Michael Hahn, Eike University of Applied Sciences THM Dept. of Electrical Engineering and Information Technology Giessen Germany Institute for Computer Architecture and System Programming University of Kassel ICAS Kassel Germany

ISBN: (纸本)9798350399714

Optical speed sensors based on the spatial frequency filter method are a proven technology that offer high measurement accuracy over a wide speed range. Newly developed variants also enable measurements at very low speeds and increase the robustness of the method [1]. This makes the sensor very suitable for use in the area of functional safety. A measurement chain up to safety integrity level 3 (SIL3) should be feasible via a combination with a safety system on a chip (SoC) for evaluating the measurement data and an extension of the sensor module to include safety-related elements [2], [3]. By integrating the sensor at IC level, a compact overall solution is to be made possible. After the first successful tests with the safety SoC, further examinations of the measuring method with regard to functional safety are now necessary. © 2023 IEEE.

关键词： System-on-chip

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A Case Study on Data Protection for a Cloud- and AI-Based Homecare Medical Device 43rd

A Case Study on Data Protection for a Cloud- and AI-Based...

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43rd International Conference on Application and Theory of Petri Nets and Concurrency , Petri Nets 2022

作者： Bende, Philipp Vovk, Olga Caraveo, David Pechmann, Ludwig Leucker, Martin Institute for Software Engineering and Programming Languages University of Lübeck Lübeck Germany School of Information Technologies Department of Health Technologies Tallinn University of Technology Tallinn Estonia UniTransferKlinik Lübeck GmbH Lübeck Germany

ISBN: (纸本)9783662681909

To improve the treatment of many diseases, continuous monitoring of the patient at home with the ability of doctors to interact with individual cases demands an increasing number of medical devices connected to the cloud. To support the doctor’s duties, such devices may benefit from AI-based diagnosis routines. In order for such devices to be approved and placed on the market, they need to comply with various legal, regulatory, economic, and social requirements. An integral part of these requirements is the protection of the patients’ data. In this paper, based on a current use case, we describe a workflow on how to identify risks and address their mitigations. To this end, we recall the relevant legal, regulatory, economic, and social data protection requirements. We pursue our findings on a Homecare OCT device that is intended to be used by elderly patients on a daily basis, by taking images of their eyes and sending them for further analysis to a cloud- and AI-based system. The patient’s ophthalmologist gets notified for further dedicated treatment depending on the result. We then compare the Homecare OCT device with a clinical OCT System in regard to various risks to patient data which arise when a medical system is used outside of a secure hospital environment. To perform the risk management, we describe (i) the architecture of both systems, (ii) analyze their data flow, (iii) discuss several vectors of attack, (iv) propose ways to mitigate the risks, and (v) discuss the handling of potential data breaches. © 2024, The Author(s), under exclusive license to Springer-Verlag GmbH, DE, part of Springer Nature.

关键词： Decision support systems

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A Method for Extracting Target Speaker in Dual - Microphone System

A Method for Extracting Target Speaker in Dual - Microphone ...

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2022 Conference of Russian Young Researchers in Electrical and Electronic Engineering, ElConRus 2022

作者： Trong The, Quan Thi Thu Dung, Nguyen University Itmo Information Technologies and Programming Faculty Saint Petersburg Russia University SPbPU Institute of Computer Science and Technology Saint Petersburg Russia

ISBN: (纸本)9781665409933

Advances in technology have produced smaller and more powerful computing devices. For example, there are currently a variety of portable personal computing devices, including wireless computing devices, such as portable wireless phones, personal digital assistants (PDAs), and paging devices. These devices are small, light, and easy to carry by users. More specifically, portable wireless phones (e.g., cellular phones and Internet Protocol (IP) phones) can transmit voice and data packets via wireless networks. Further, many of these wireless telephones include other types of devices incorporated therein. For example, wireless phones can also contain digital still cameras, digital video cameras, digital recorders, and audio file players. Moreover, such wireless phones can process executable instructions, including software applications, such as web browser applications that can be used to access the Internet. In this way, these wireless phones can contain significant computing power. The audio processing system in the wireless phone may use a multi-microphone system that improves audio quality based on a multi-channel digital processing algorithm. For example, compared to a single microphone system, a multi-microphone system can provide enhanced noise suppression and can allow the audio processing system to implement spatially related audio features, such as position related noise. In order achieving a better result of extracting the target speaker, the author proposed a method, which based on dual-microphone system, uses post-filtering technology to eliminate diffuse noise and unwanted speech. Experiments have presented the effectiveness and robust of the proposed method. © 2022 IEEE.

关键词： Microphone array

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An Improved Implementation of Generalized Sidelobe Canceller Filter in Diffuse Noise Field

An Improved Implementation of Generalized Sidelobe Canceller...

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2022 Conference of Russian Young Researchers in Electrical and Electronic Engineering, ElConRus 2022

作者： The, Quan Trong Dung, Nguyen Thi Thu University Itmo Information Technologies and Programming Faculty Saint Petersburg Russia University SPbPU Institute of Computer Science and Technology Saint Petersburg Russia

ISBN: (纸本)9781665409933

Algorithms, which used in the microphone array, are currently widely popular, especially the GSC algorithm. Compared with the single-channel algorithm model, GSC uses information of direction of arrival (DOA) of the original speech signal to increase the efficiency of noise suppression. However, in practical applications, there are many restrictions, such as the error of the actual direction, the error of sensitivity between microphones, which affects the output signal, causes speech distortion and performance degradation. In this paper, the author proposed a method, that uses a priori SNR to reduce the speech leakage in the reference signal, to improve the implementation of GSC algorithm in diffuse noise field. The above method has been tested, and its effectiveness has been proven. In the future, the author will continue to study different noise environmental conditions to further improve the efficiency of the above method. © 2022 IEEE.

关键词： Beamforming

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A Speech Enhancement in Diffuse Noise Field using Minimum Variance Distortionless Response Filter

A Speech Enhancement in Diffuse Noise Field using Minimum Va...

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2022 Conference of Russian Young Researchers in Electrical and Electronic Engineering, ElConRus 2022

ISBN: (纸本)9781665409933

Array signal processing is an important branch in the field of signal processing. It has been widely used in many military and national economic fields such as radar, communications, sonar, navigation, voice signal processing, seismic monitoring, and biomedical engineering. Adaptive beamforming is an important research content in array signal processing. It is essential to perform spatial filtering through adaptive weighting of each array element to achieve the purpose of enhancing the desired signal, suppressing interference and reducing noise signals. Minimum variance distortion response (MVDR) is a commonly used algorithm. It restricts the array gain to 1 in the desired signal direction and minimizes the output power of the array to achieve the purpose of suppressing interference. However, in real-life environment, most processing speech system are affected by various types of noise, like coherence, incoherence, diffuse and ambient noise. These unwanted factors strong degrade performance of designed system. The quality and intelligibility, which one of the most important measurement of output signal, decreases when surrounding environment is too complex. In this paper, the author proposed an improved technology to enhance algorithm MVDR in diffuse noise field. The results illustrated that, the suggested algorithm allowed reducing speech distortion from 5.1÷15.5 (dB). The promising method can be further combined with many speech applications. © 2022 IEEE.

关键词： Speech enhancement

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Optimization of Neural Networks Through Semi-Structured Activation Pruning

Optimization of Neural Networks Through Semi-Structured Acti...

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Wave Electronics and its Application in information and Telecommunication Systems (WECONF)

作者： T. M. Tatarnikova A. S. Raskopina Institute of Information Technology and Programming St. Petersburg State University of Aerospace Instrumentation (SUAI) St. Petersburg Russia

ISBN: (数字)9781665465687

ISBN: (纸本)9781665465694

Modern neural networks are becoming deeper and more complex, leading to increased computational costs and the need for powerful hardware. The optimization method through semi-structured pruning of activations allows for memory savings, increased energy efficiency, and accelerated inference. This article analyzes existing pruning methods, their advantages and limitations, and suggests ways to effectively implement this approach. Additionally, an experiment was conducted to evaluate the effect of unstructured and semi-structured pruning on model accuracy compared to the original version.

关键词： Performance evaluation Adaptation models Costs Embedded systems Computational modeling Neural networks Memory management Hardware Energy efficiency Internet of Things

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Dipper Throated Optimization for Detecting Black-Hole Attacks inMANETs

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Computers, Materials & Continua 2023年第1期74卷 1905-1921页

作者： Reem Alkanhel El-Sayed M.El-kenawy Abdelaziz A.Abdelhamid Abdelhameed Ibrahim Mostafa Abotaleb Doaa Sami Khafaga Department of Information Technology College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Communications and Electronics Delta Higher Institute of Engineering and TechnologyMansoura35111Egypt Faculty of Artificial Intelligence Delta University for Science and TechnologyMansoura35712Egypt Department of Computer Science Faculty of Computer and Information SciencesAin Shams UniversityCairo11566Egypt Department of Computer Science College of Computing and Information TechnologyShaqra University11961Saudi Arabia Computer Engineering and Control Systems Department Faculty of EngineeringMansoura UniversityMansoura35516Egypt Department of System Programming South Ural State UniversityChelyabinsk454080Russia Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia

In terms of security and privacy,mobile ad-hoc network(MANET)continues to be in demand for additional debate and *** more MANET applications become data-oriented,implementing a secure and reliable data transfer protocol becomes a major concern in the ***,MANET’s lack of infrastructure,unpredictable topology,and restricted resources,as well as the lack of a previously permitted trust relationship among connected nodes,contribute to the attack detection burden.A novel detection approach is presented in this paper to classify passive and active black-hole *** proposed approach is based on the dipper throated optimization(DTO)algorithm,which presents a plausible path out of multiple paths for statistics transmission to boost MANETs’quality of service.A group of selected packet features will then be weighed by the DTO-based multi-layer perceptron(DTO-MLP),and these features are collected from nodes using the Low Energy Adaptive Clustering Hierarchical(LEACH)clustering *** is a powerful classifier and the DTO weight optimization method has a significant impact on improving the classification process by strengthening the weights of key features while suppressing the weights ofminor *** hybridmethod is primarily designed to combat active black-hole *** the LEACH clustering phase,however,can also detect passive black-hole *** effect of mobility variation on detection error and routing overhead is explored and evaluated using the suggested *** diverse mobility situations,the results demonstrate up to 97%detection accuracy and faster execution ***,the suggested approach uses an adjustable threshold value to make a correct conclusion regarding whether a node is malicious or benign.

关键词： Black-hole attack mobile ad-hoc network optimization dipper throated optimization

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Hybrid Grey Wolf and Dipper Throated Optimization in Network Intrusion Detection Systems

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Computers, Materials & Continua 2023年第2期74卷 2695-2709页

作者： Reem Alkanhel Doaa Sami Khafaga El-Sayed M.El-kenawy Abdelaziz A.Abdelhamid Abdelhameed Ibrahim Rashid Amin Mostafa Abotaleb B.M.El-den Department of Information Technology College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Communications and Electronics Delta Higher Institute of Engineering and TechnologyMansoura35111Egypt Department of Computer Science Faculty of Computer and Information SciencesAin Shams UniversityCairo11566Egypt Department of Computer Science College of Computing and Information TechnologyShaqra University11961Saudi Arabia Computer Engineering and Control Systems Department Faculty of EngineeringMansoura UniversityMansoura35516Egypt Department of Computer Science University of Engineering and TechnologyTaxilaPakistan Department of System Programming South Ural State UniversityChelyabinsk454080Russia

The Internet of Things(IoT)is a modern approach that enables connection with a wide variety of devices *** to the resource constraints and open nature of IoT nodes,the routing protocol for low power and lossy(RPL)networks may be vulnerable to several routing ***’s why a network intrusion detection system(NIDS)is needed to guard against routing assaults on RPL-based IoT *** imbalance between the false and valid attacks in the training set degrades the performance of machine learning employed to detect network ***,we propose in this paper a novel approach to balance the dataset classes based on metaheuristic optimization applied to locality-sensitive hashing and synthetic minority oversampling technique(LSH-SMOTE).The proposed optimization approach is based on a new hybrid between the grey wolf and dipper throated optimization *** prove the effectiveness of the proposed approach,a set of experiments were conducted to evaluate the performance of NIDS for three cases,namely,detection without dataset balancing,detection with SMOTE balancing,and detection with the proposed optimized LSHSOMTE *** results showed that the proposed approach outperforms the other approaches and could boost the detection *** addition,a statistical analysis is performed to study the significance and stability of the proposed *** conducted experiments include seven different types of attack cases in the RPL-NIDS17 *** on the 2696 CMC,2023,vol.74,no.2 proposed approach,the achieved accuracy is(98.1%),sensitivity is(97.8%),and specificity is(98.8%).

关键词： Metaheuristics grey wolf optimization dipper throated optimization dataset balancing locality sensitive hashing SMOTE

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Nesterov’s method of dichotomy via Order Oracle: The problem of optimizing a two-variable function on a square

arXiv

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arXiv 2024年

作者： Chervonenkis, Boris Krasnov, Andrei Gasnikov, Alexander Lobanov, Aleksandr Moscow Institute of Physics and Technology Russia Institute for Information Transmission Problems RAS Moscow Russia Innopolis University Russia Skolkovo Institute of Science and Technology Russia The Institute for System Programming The Russian Academy of Sciences Russia

The challenges of black box optimization arise due to imprecise responses and limited output information. This article describes new results on optimizing multivariable functions using an Order Oracle, which provides access only to the order between function values and with some small errors. We obtained convergence rate estimates for the one-dimensional search method (golden ratio method) under the condition of oracle inaccuracy, as well as convergence results for the algorithm on a "square" (also with noise), which outperforms its alternatives. The results obtained are similar to those in problems with oracles providing significantly more information about the optimized function. Additionally, the practical application of the algorithm has been demonstrated in maximizing a preference function, where the parameters are the acidity and sweetness of the drink. This function is expected to be convex or at least quasi-convex. Copyright © 2024, The Authors. All rights reserved.

关键词： Optimization algorithms

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