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2021 International Conference engineering and Telecommunication, En and T 2021

作者： Sergeev, Vsevolod M. Dvorkovich, Alexander V. Phystech School of Radio Engineering and Computer Technology Moscow Institute of Physics and Technology Dolgoprudnyy Russia

ISBN: (纸本)9781728183909

HEVC is one of the most efficient video-coding standards used in different kinds of services. In current HEVC model there is a large number of methods for encoding: different modes and various kinds of frame structures. In a default algorithm the full search of different encoding combinations to find the most efficient one is realized. It leads to high encoding complexity of the standard implementation. To reduce the complexity of encoding algorithm the method for fast CU (Coding Unit) decision is offered in this paper. It is based on picture structure, quantization parameter and size of CTB (Coding Tree Block). The experimental results showed that this method gives about 43% of time reduction with about 1% of coding efficiency loss. © 2021 IEEE.

关键词： Signal encoding

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Analysis of Low-Frequency radio Array Mapping of D-Region Electron Densities and HF Absorption

Analysis of Low-Frequency Radio Array Mapping of D-Region El...

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IEEE International Symposium on Phased Array Systems and technology

作者： Matthew Strong Morris Cohen Low Frequency Radio Group Georgia Institute of Technology Atlanta GA School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta GA

ISBN: (数字)9798350392142

ISBN: (纸本)9798350392159

We present results from an array of low-frequency (500 Hz - 500 kHz) radio receivers, passively recording VLF (3–30 kHz) emissions from natural lightning and navy VLF transmitters. A series of signal processing, machine learning, and tomographic techniques amalgamates this dataset to reconstruct the 3D D-region (60–90 km) ionospheric electron density profiles over the Gulf of Mexico and Southeastern USA. We present profiles over a selected 13-day period in August 2017 during which time there was a solar eclipse and multiple major solar flares. The VLF electron density profiles are also used to infer HF absorption as a function of location and time, a technique described in this paper. We use this to validate our D-region inferences by comparing against a ground-based ionosonde in-strument.

关键词： Phased arrays Solar eclipses Three-dimensional displays Absorption radio transmitters Receivers Machine learning Tomography Recording Electrons

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Skyrmionic spin textures in nonparaxial light

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Advanced Photonics 2025年第1期7卷 85-92页

作者： Xinrui Lei Aiping Yang Xusheng Chen Luping Du Peng Shi Qiwen Zhan Xiaocong Yuan Shenzhen University Institute of Microscale Optoelectronics and State Key Laboratory of Radio Frequency Heterogeneous IntegrationNanophotonics Research CenterShenzhen Key Laboratory of Micro-Scale Optical Information TechnologyShenzhenChina University of Shanghai for Science and Technology School of Optical-Electrical and Computer EngineeringShanghaiChina Dongguan University of Technology Research Institute of Interdisciplinary Sciences and School of Materials Science and EngineeringDongguanChina Research Centre for Frontier Fundamental Studies Zhejiang LabHangzhouChina

Topological textures in optics such as skyrmions and merons are increasingly studied for their potential functions in light–matter interactions,deep-subwavelength imaging,and ***,they were previously generated either in strongly confined guided waves or in paraxial *** has posed a significant challenge in constructing skyrmions in nonparaxial propagating waves due to the lack of symmetry-breaking in the optical field and difficulty in characterizing the full three-dimensional spin textures at the *** theoretically propose and experimentally demonstrate the generation of skyrmionic spin textures in nonparaxial light,where skyrmionic textures with a Bloch-type scheme,including isolated skyrmioniums,skyrmion,and meron lattices are generated in free *** introduce the interplay between the Hertz potentials to break the dual symmetry of light and build well-defined domains of *** experimentally realized the topological textures by applying a hybrid polarized optical vortex and observed the complete three-dimensional spin distributions by a dual-mode waveguide *** bridging the gap in the skyrmionic group,we present a topologic diagram,showing how spin–orbit coupling of light governs the spin *** findings offer new insights into optical quasiparticles and electron–photon correspondence,potentially facilitating advanced applications in optical metrology,sensing,and storage.

关键词： spin topology photonic skyrmion spin–orbit coupling of light

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QoE-Aware Intelligent Handover Method for Intent-Based Software-Defined Wireless Network 16

QoE-Aware Intelligent Handover Method for Intent-Based Softw...

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16th IEEE International Conference on Advanced Trends in radioelectronics, Telecommunications and computer engineering, TCSET 2022

作者： Beshley, Mykola Medvetskyi, Mykhailo Jun, Su Pryslupskyi, Andrii Bobalo, Yuriy Beshley, Halyna Lviv Polytechnic National University Department of Telecommunications Lviv Ukraine School of Computer Science Hubei University of Technology Wuhan China Lviv Polytechnic National University Department of Theoretical Radio Engineering and Radio Measurement Lviv Ukraine

ISBN: (纸本)9781665468619

Intent-Based Networking (IBN) focuses on technologically independent, fast, and reliable interaction between network infrastructure management systems and users. This concept is being developed to automate and accelerate the deployment of the network lifecycle. Thus, IBN includes mechanisms for recognizing, understanding, and extending the intents that define the quality-of-service (QoS) requests. Therefore, this paper proposes an intent-based software-defined wireless network (IBSDWN) approach in which the controller intelligently decides when to initiate the handover of services. For this purpose, the controller selects the access point (AP) to which the client device should connect, based on the set quality of experience (QoE) requirements using an intent processing technique. A method for initiating handover in IBSDWN based on machine learning (ML) algorithms and an integral QoE criterion formed from real-time measurements of parameters: received signal strength indication (RSSI), throughput, packet loss, and delay is developed. Implementation of ML module in IBN architecture for monitoring system allowed to reduce the volume of signal traffic in communication channels between network equipment and controller. Also, the developed ML module made it possible to detect the degradation of QoE values and prevent situations when the user is not satisfied with the received QoS for adaptive prediction of the moment of network reconfiguration. On the basis of a simulation model, it is proved that the proposed solutions can improve the quality of experience of multimedia services to end-users. © 2022 IEEE.

关键词： Wireless networks

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Synthesis of planar bifocal two mirror, lens and mirror-lens beamforming systems

Synthesis of planar bifocal two mirror, lens and mirror-lens...

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2021 Radiation and Scattering of Electromagnetic Waves, RSEMW 2021

作者： Kaloshin, Vadim A. Nam, Vi Ut Electromagnetism Laboratory Kotelnikov Isntitue of Radio Engineering and Electronics of RAS Moscow Russia Phystech School of Radio Engineering and Computer Technology Moscow Institute of Physics and Technology Moscow Russia

ISBN: (纸本)9781665425445

New technique for the synthesis of planar bifocal two-mirror, as well as lens and mirror-lens beamforming systems for multi-beam antennas has been developed. The technique is based on setting one initial segment of the cylindrical surface of a lens or mirror, followed by finding the remaining segments. This initial segment is given in the form of a parabolic cylinder, and the initial segment of the second mirror or second surface of the lens is found from the fine focusing condition for the center position of the beam. Further, the technique of sequentially finding new segments of the bifocal system from the condition of accurate focusing is used when the source is located in two focuses symmetrically located relative to the axis of the system. This ensures the continuity of the functions describing the shape of the surfaces of the system at the junctions of the segments, as well as their first two derivatives. It is shown that the new technique can significantly reduce the value of the root-mean-square phase aberration © 2021 IEEE.

关键词： Beamforming

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Enhancing Versatile Video Coding Efficiency via Post-Processing of Decoded Frames Using Residual Network Integration in Deep Convolutional Neural Networks

Enhancing Versatile Video Coding Efficiency via Post-Process...

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Digital Signal Processing and its Applications (DSPA), International Conference on

作者： Murooj Khalid Ibraheem Ibraheem Alexander V. Dvorkovich Department of Multimedia Technologies and Telecommunications Phystech-School of Radio Engineering and Computer Technologies (FRKT) Moscow Institute of Physics and Technology (MIPT) Dolgoprudny Russia

The VVC standard, also known as Versatile Video Coding represents an advancement, in video compression technology. Its main objective is to improve compression efficiency while upholding high image quality standards. One of the standout features of VVC is its capacity to enhance performance in applications by reducing data requirements without compromising the contents integrity. This study presents a technique for enhancing video quality post compression by integrating a Residual Deep Convolutional Neural Network (Res DCNN) into the VVC framework. By combining the ResNet architecture with Deep Convolutional Neural Networks (DCNNs) the research aims to improve the clarity of video frames. The Res DCNN framework, comprising layers and Residual Dense Blocks (RDBs) effectively extracts features from video data. By using VVC Test Model 22.2 for encoding and decoding processes and TensorFlow for model training this study demonstrates improvements in video quality. The results indicate an enhancement in image quality with the PSNR value increasing from 35.36 dB to 37.33 dB highlighting the effectiveness of the Res DCNN approach. The seamless integration of Res DCNN into video compression technology marks a step forward in achieving visual quality while optimizing data usage, for video processing purposes.

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About the Influence of the Brightness and Contrast Transform Accuracy on the Image Quality in Fractal Compression 23

About the Influence of the Brightness and Contrast Transform...

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23rd International Conference on Digital Signal Processing and its Applications, DSPA 2021

作者： Diep, Do Ngok Dvorkovich, Alexander V. Moscow Institute of Physics and Technology National Research University Phystech-School of Radio Engineering and Computer Science Moscow Russia

ISBN: (纸本)9781728195513

Brightness and contrast transform of domains is an essential part of fractal image compression algorithm. Traditionally well-known fixed number of bits are used for storing of brightness and contrast transform coefficients chosen from fixed ranges. At the same time, these ranges and accuracy of transform coefficients severely affects the distortions of the reconstructed image. In this paper, we investigate the influence of the ranges and the storing accuracy of the brightness and contrast transform coefficients for domains on the quality of the reconstructed image in fractal image compression. The research has been shown that appropriate adjusting of the coefficients ranges before significant decrease of the number of bits for its storing allow to achieve rather small degradation in reconstructed image (PSNR loss ∼ 0.1 - 0.3 dB). © 2021 IEEE.

关键词： Image reconstruction

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Secure Node Identification Through Covert Clock Feature Extraction

Secure Node Identification Through Covert Clock Feature Extr...

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IEEE Conference on computer Communications Workshops, INFOCOM Wksps

作者： Xintao Huan Wen Chen Changfan Wu Jiamin Liu Yixuan Zou Shengkang Zhang School of Cyberspace Science and Technology Beijing Institute of Technology Beijing China School of Electronic Engineering and Computer Science Queen Mary University of London London U.K. Beijing Institute of Radio Metrology and Measurement Beijing China

ISBN: (数字)9798350384475

ISBN: (纸本)9798350384482

Node identification is the first line of defense for wireless networks' security that prevents illegal devices from accessing the network. Hardware features originating from innate hardware imperfections are considered promising identification fingerprints, among which, the hardware clock feature has been put under the spotlight due to its prevalence and ease of extraction. Current extractions of hardware clock features over wireless networks rely on the transmissions of time information, which, per se, face significant threats such as spoofing and replay attacks. In this paper, we propose a covert method to extract the hardware clock features which avoids the time information transmissions. We further propose a tailored secure node identification approach based on the proposed covert clock feature extraction. We implement and evaluate the proposed approach on a real Long Range (LoRa) testbed consisting of heterogeneous LoRa end nodes. Experimental results demonstrate that the proposed approach could effectively identify the heterogeneous LoRa end nodes with 95% accuracy.

关键词： Wireless networks LoRa Information processing Fingerprint recognition Feature extraction Hardware Data mining

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Modeling of Ground Penetrating Radar System based on Recurrent Neural Network Architecture 11

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

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11th IEEE Asia-Pacific Conference on Antennas and Propagation, APCAP 2023 - Proceedings

作者： Cheng, Xi Zhao, Yunjie Zhang, Kun Wang, Xiaohua Shao, Wei Peng, Lin Wiart, Joe Xinjiang Agricultural University School of Computer and Information Engineering Urumqi830052 China University of Electronic Science and Technology of China School of Physics Chengdu611731 China Guilin University of Electronic Technology Key Laboratory of Cognitive Radio and Information Processing Guilin541004 China Ltci Télécom Paris C2M 19 Place Marguerite Perey Palaiseau91120 France

ISBN: (纸本)9798350326277

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. © 2023 IEEE.

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A brief survey on deep learning based image super-resolution

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High technology Letters 2021年第3期27卷 294-302页

作者： Zhu Xiaobin Li Shanshan Wang Lei Department of Computer Science and Technology University of Science and Technology BeijingBeijing 100048P.R.China School of Computer and Information Engineering Beijing Technology and Business UniversityBeijing 100048P.R.China Academy of Broadcasting Science National Radio and Television AdministrationBeijing 100866P.R.China

Image super-resolution(SR)is an important technique for improving the resolution and quality of *** the great progress of deep learning,image super-resolution achieves remarkable improvements *** this work,a brief survey on recent advances of deep learning based single image super-resolution methods is systematically *** existing studies of SR techniques are roughly grouped into ten major ***,some other important issues are also introduced,such as publicly available benchmark datasets and performance evaluation ***,this survey is concluded by highlighting four future trends.

关键词： image super-resolution(SR) deep learning convolutional neural network(CNN)

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