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Computational Intelligence Approaches and Applications (ICCIAA), International Conference on

作者： Amer Abu-Jassar Mohammad Hamdan Kawther Hamash Sardor Boboyorov Vyacheslav Lyashenko Department of Computer Science College of Information Technology Amman Arab University Amman Jordan College of software engineering Amman Arab University Amman Jordan WellStar school of nursing Kennesaw state university Georgia USA Tashkent Medical Academy Termiz branch Termiz Uzbekistan Department of Media Systems and Technology Kharkiv National University of Radio Electronics Kharkiv Ukraine

ISBN: (数字)9798331523657

ISBN: (纸本)9798331523664

This paper addresses the challenge of enhancing the quality of medical data interpretation, specifically using color microscopic medical images for effective visualization and further analysis. The method employed involves increasing contrast by adjusting the brightness intensity values within the Lab color model, which also considers the reference white point for horizontal light. To determine the parameters for the contrasting procedure, two strategies for selecting gamma correction of the input image are explored, based on the dynamics of the resulting image quality for various no-reference quality metrics. By analyzing these dynamics, the choice of correction conditions for the contrasting procedure can be justified, rather than relying on static metrics. The paper investigates the application of these proposed strategies on different types of images, presents a formal generalization of the strategies for selecting correction parameters, and offers practical recommendations for their use.

关键词： Measurement Image quality Visualization Image color analysis Microscopy Computational modeling Data visualization Quality assessment Computational intelligence Biomedical imaging

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High-Fidelity Single-Pixel Imaging at Ultra-Low Sampling Ratios via Physically Enhanced Laguerre Gaussian Encoding

arXiv

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arXiv 2025年

作者： Xiong, JunYi Su, Can Wang, ZhiYuan Xiong, YangYang Wang, HongJie Cai, MengQiang Cao, GuiYuan Deng, XioaHua Nie, ZhongQuan Yan, WeiChao Jia, BaoHua Department of Physics School of Physics and Materials Science Nanchang University Nanchang330031 China Department of Computer Sciences School of Mathematics and Computer Sciences Nanchang University Nanchang330031 China Department of Electronic and Information Engineering School of Information and Engineering Nanchang University Nanchang330031 China Institute of Space Science and Technology Nanchang University Nanchang330031 China Engineering Research Center of Intelligent Sensing Technology in Space Information Ministry of Education Nanchang University Nanchang330031 China Nanophotonics Research Center Institute of Microscale Optoelectronics State Key Laboratory of Radio Frequency Heterogeneous Shenzhen University Shenzhen518060 China School of Science RMIT University MelbourneVIC3000 Australia College of Advanced Interdisciplinary Studies National University of Defense Technology Changsha410073 China

Single-pixel imaging (SPI) has offered an unprecedented technique for capturing a targeted scenes without requiring either raster-scanned systems or muti-pixel detectors. However, in the current research, there are rare study reports about achieving both high spatial quality and low sampling ratio below 5% without additional algorithms in the existing SPI architectures. To circumvent these challenges, here we demonstrate a novel Laguerre Gaussian single-pixel imaging (LGSI) technique achieving ultra-low sampling ratio (3%) and super-high spatial imaging quality (Structural Similarity (SSIM) of 0.739 and a peak signal-to-noise ratio (PSNR) of 20.762 dB). The fundamental methodology relies on the enhancement of the encoded patterns by the differential modulation of discrete orthogonal physical LG moments, enabling the reconstruction of illuminated target object via a linear weighting of the structured light intensity. Leveraging this orthogonal mechanism, LGSI demonstrates superior imaging quality and computational efficiency, surpassing the capabilities of non-orthogonal moments. Comparative analyses of the power spectra from reconstructed images highlight the enhanced efficacy of LGSI over Hadamard SPI (HSI) and Fourier SPI (FSI). Our results suggest the possibility of encoding multi-dimensional structured light fields as a promising pathway for realizing low sampling ratio, universal, and physical-endow SPI. © 2025, CC BY.

关键词： Superpixels

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Increasing the Efficiency of Radar Targets Classification by Polarization Attributes by Using Coherent Accumulation

Increasing the Efficiency of Radar Targets Classification by...

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Radiation and Scattering of Electromagnetic Waves (RSEMW)

作者： Artyom A. Kopylov Igor V. Zimin Phystech School of Radio Engineering and Computer Technology Moscow Institute of Physics and Technology (National Research Institute) Dolgoprudny Russia

A model for the classification of radar targets by polarization attributes with the possibility of coherent accumulation was developed. Simulations of the process of classification was carried out to analyse the effectiveness of the developed model. Based on the simulation results, an analysis of the efficiency of using the coherent accumulation for the problem of radar objects classification by polarization characteristics was carried out. The article presents some of the results of the simulation.

关键词： Analytical models Anisotropic magnetoresistance Simulation Radar Radar scattering Trajectory Classification algorithms

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Analysis of the Efficiency of Radar Target Classification by Heinen Polarization Parameters in the Monostatic Configuration

Analysis of the Efficiency of Radar Target Classification by...

引用

engineering and Telecommunication (En&T), International Conference

作者： Artyom A. Kopylov Igor V. Zimin Phystech School of Radio Engineering and Computer Technology Moscow Institute of Physics and Technology (National Research Institute) Dolgoprudny Russia

ISBN: (纸本)9781728183916

A mathematical model of the radar target classification based on Heinen polarization parameters was developed. Simulations of the functioning process was carried out to analyze the effectiveness of the developed model. Based on these simulation results, an analysis of the effectiveness of this group of polarization parameters for the radar target classification problem was carried out. The article presents some results of the simulation.

关键词： Location awareness Analytical models Simulation Scattering Radar Radar scattering Mathematical models

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Transformer-Based Deep Learning Detector for Dual-Mode Index Modulation 3D-OFDM

arXiv

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arXiv 2023年

作者： Gian, Toan Nguyen, Tien-Hoa Nguyen, Trung Tan Pham, Van-Cuong Van Luong, Thien The School of Electrical and Electronics Engineering Hanoi University of Science and Technology Hanoi Viet Nam The Faculty of Radio-Electronics Le Quy Don Technical University Hanoi11355 Viet Nam The Faculty of Computer Science Phenikaa University Hanoi12116 Viet Nam

In this paper, we propose a deep learning-based signal detector called TransD3D-IM, which employs the Transformer framework for signal detection in the Dual-mode index modulation-aided three-dimensional (3D) orthogonal frequency division multiplexing (DM-IM-3D-OFDM) system. In this system, the data bits are conveyed using dual-mode 3D constellation symbols and active subcarrier indices. As a result, this method exhibits significantly higher transmission reliability than current IM-based models with traditional maximum likelihood (ML) detection. Nevertheless, the ML detector suffers from high computational complexity, particularly when the parameters of the system are large. Even the complexity of the Log-Likelihood Ratio algorithm, known as a low-complexity detector for signal detection in the DM-IM-3D-OFDM system, is also not impressive enough. To overcome this limitation, our proposal applies a deep neural network at the receiver, utilizing the Transformer framework for signal detection of DM-IM-3D-OFDM system in Rayleigh fading channel. Simulation results demonstrate that our detector attains to approach performance compared to the model-based receiver. Furthermore, TransD3D-IM exhibits more robustness than the existing deep learning-based detector while considerably reducing runtime complexity in comparison with the benchmarks. Copyright © 2023, The Authors. All rights reserved.

关键词： Signal detection

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A Blockchain-Based Internet of Things Forensics Model 7th

A Blockchain-Based Internet of Things Forensics Model

引用

7th International Conference on Artificial Intelligence and Security, ICAIS 2021

作者： Liang, Guangjun Xin, Jianfang Wang, Qun Ni, Xueli Guo, Xiangmin Department of Computer Information and Cyber Security Jiangsu Police Institute Nanjing China National and Local Joint Engineering Laboratory of Radio Frequency Integration and Micro Assembly Technology Nanjing University of Posts and Telecommunications Nanjing China School of Electrical Engineering Anhui Polytechnic University Wuhu China

ISBN: (纸本)9783030786205

The Internet of Things has been proposed for nearly 20 years. Its rich digital trace repository provides insight into people’s daily activities at home and elsewhere. On the other hand, IoT devices can become targets of attacks, or even tools for a crime. The number of civil and criminal cases involving IoT devices or services is increasing year by year. IoT forensics refers to the process of collecting, analyzing, storing and providing digital evidence in IoT devices in a legally binding manner. In particular, the traceability, integrity and tamper resistance of the evidence should be maintained. However, traditional IoT forensics architecture may be difficult to achieve these goals. This article aims to explore the combination of blockchain technology and IoT forensics which can make full use of the natural advantages of traceability and tamper resistance. A forensic architecture of the Internet of Things based on blockchain evidence is proposed, including an applications layer and data layer. The applications layer includes various APP applications, and the data layer includes the evidence analysis platform and the blockchain platform. Furthermore, an IoT forensics model including blockchain storage and supervision is proposed which can ensure the traceability and tamper-proof of forensic data. © 2021, Springer Nature Switzerland AG.

关键词： Internet of things

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

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

引用

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

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Feed array with overlapping clusters and flat-topped radiation pattern for multi-beam satellite communication antennas

Feed array with overlapping clusters and flat-topped radiati...

引用

2020 International Conference engineering and Telecommunication, En and T 2020

作者： Vilenko, I.L. Shishlov, A.V. Krivosheev, Y.V. Uhm, M.S. Yun, S.H. Jsc Radiofizika Antenna Department Moscow Russia School of Radio Engineering and Computer Technology Moscow Institute of Physics and Technology Dolgoprudny Russia School of Engineering Moscow Aviation Institute Moscow Russia Electronics and Telecommunications Research Institute Radio Satellite Research Division Daejeon Korea Republic of

ISBN: (纸本)9781728188294

A new feed array with overlapping clusters for multi-beam satellite communication antennas is presented. The array consists of circular waveguides with diameter of 1.1 wavelength. Neighbor elements are excited via the slots and thus overlapping clusters are formed. Excitation of the clusters is optimized to obtain flat-topped radiation pattern and high aperture efficiency. The proposed array can be used as a feed for multi-beam antennas. © 2020 IEEE.

关键词： Multibeam antennas

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Modeling of Ground Penetrating Radar System based on Recurrent Neural Network Architecture

Modeling of Ground Penetrating Radar System based on Recurre...

引用

IEEE Asia-Pacific Conference on Antennas and Propagation (APCAP)

作者： Xi Cheng Yunjie Zhao Kun Zhang Xiaohua Wang Wei Shao Lin Peng Joe Wiart School of Computer and Information Engineering Xinjiang Agricultural University Urumqi China School of Physics University of Electronic Science and Technology of China Chengdu China Key Laboratory of Cognitive Radio and Information Processing Guilin University of Electronic Technology Guilin China Chaire C2M LTCI Télécom Paris 19 Place Marguerite Perey Palaiseau France

The finite-difference time-domain (FDTD) method is the most commonly used method in electromagnetic simulations due to its advantages of easy implementation and stabilization. However, in the ground penetrating radar (GPR) simulation, it requires performing multiple FDTD calculations on the same physical model according to the number of GPR emitters, which brings heavy calculation burden, making it difficult to implement in practical application. This paper proposes a GPR simulation method based on the recurrent neural network (RNN) architecture. The new method reconstructs the FDTD algorithm through deep learning theory and operators without training. The proposed method can maintain the same accuracy as FDTD while speeding up the simulation.

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Asynchronous Tag-based Physical-Layer Authentication in Wireless Communications

引用

IEEE Transactions on Wireless Communications 2025年

作者： Tan, Haijun Xu, Yuntao Du, Jiewei Xie, Ning Li, Hongbin Peng Cheng Laboratory Control and Network Foundation Laboratory Frontier Research Center Shenzhen518107 China Shenzhen University State Key Laboratory of Radio Frequency Heterogeneous Integration The Guangdong Key Laboratory of Intelligent Information Processing College of Electronics and Information Engineering Shenzhen518060 China Beijing Jiaotong University School of Electronic and Information Engineering Beijing100044 China National Innovation Center of High Speed Train Qingdao266111 China Stevens Institute of Technology Department of Electrical and Computer Engineering HobokenNJ07030 United States

Tag-based physical-layer authentication (PLA) has gained significant research interest due to its high security and low complexity compared to traditional upper-layer authentication mechanisms. However, conventional tag-based PLA schemes often require strict synchronization between the tag and the source message before transmission, which may limit their practicality and effectiveness. To address this limitation, we propose an asynchronous tag-based PLA scheme, where the tag and the source message are transmitted asynchronously with an intentional time delay introduced at the transmitter. The proposed scheme enhances both compatibility and security without compromising robustness. We provide a theoretical analysis of the proposed scheme, and derive closed-form expressions to characterize its performance. Furthermore, theoretical comparisons with existing methods yield insightful conclusions regarding the advantages of the proposed approach. The scheme is implemented and extensively evaluated through simulations, where the theoretical results exhibit strong agreement with the simulation outcomes, thereby validating its effectiveness. © 2025 IEEE.

关键词： asynchronous closed form intentional timing delay Physical-layer authentication tag-based

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