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2024 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2024

作者： Hao, Fengqi Zhu, Shulei Ma, Dexin Dong, Xiangjun Kong, Hoiio Liu, Xia Mu, Chunhua Key Laboratory of Computing Power Network and Information Security Ministry of Education Jinan250014 China City University of Macau Faculty of Data Science 999078 China Shandong Fundamental Research Center for Computer Science Shandong Provincial Key Laboratory of Computer Networks Jinan250014 China Communication College Qingdao Agricultural University Qingdao266109 China Maize Research Institute Shandong Academy of Agricultural Sciences National Engineering Laboratory of Wheat and Maize Key Laboratory of Biology and Genetic Improvement of Maize in Northern Yellow-huai River Plain Ministry of Agriculture Jinan250100 China

ISBN: (纸本)9781665410205

The seedling stage is important in the growth and development of maize, and it is also a critical period that affects maize yield and quality. Accurately recognizing this stage of maize is challenging, as current maize seedling detection methods struggle with small sizes and complex environments. This paper proposes a rapid maize seedling detection method that emphasizes spatial feature extraction in the receptive field and cross-dimensional interaction - receptive field triplet attention YOLO (RFT-YOLO). First, we design a convolutional module for cross-dimensional information interaction within the receptive field. Second, we introduce an advanced selective fusion network, which boosts the multi-scale fusion capability of small object features while reducing the GFLOPs of the model. Additionally, we employ Inner-IoU to diminish sensitivity to positional biases of small objects and expedite the convergence of the loss function. Finally, we create a dataset of maize seedlings to conduct our experiments. Experimental results demonstrate that the RFT-YOLO significantly enhances performance, reducing the number of parameters by 35.3% and GFLOPs by 14.24%, compared to the baseline model. Moreover, the mean average precision (mAP) improves from 89.6% to 91.5%. These improvements confirm the model's effectiveness in detecting maize seedlings. © 2024 IEEE.

关键词： Deep learning Maize seedling detection Object detection UAV

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P-I2Prange: An Automatic Construction Architecture for Scenarios in I2P Ranges

P-I2Prange: An Automatic Construction Architecture for Scena...

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International Joint Conference on Neural networks (IJCNN)

作者： Runnan Tan Qingfeng Tan Haiyan Wang Yushun Xie Peng Zhang Cyberspace Institute of Advanced Technology Guangzhou University Guangzhou China Department of New Networks PengCheng Laboratory Shenzhen China Shenzhen Institute for Advanced Study University of Electronic Science and Technology of China Shenzhen China The School of Computer and Communication Engineering University of Science and Technology Beijing Beijing China

ISBN: (数字)9798350359312

ISBN: (纸本)9798350359329

Anonymous networks play a crucial role in preserving information privacy, yet simultaneously spark technical conflicts and gamesmanship between their maintainers and regulatory authorities. To solve the above conflicts and economic losses in real networks, it is imminent to realize adversarial exercises in anonymous networks and validate new technologies and scenarios in the cyber range. It is well known that the two dominant types of anonymity networks are Tor and Invisible Internet Project (I2P). This paper establishes a cyber range based on I2P to realize a task-driven automated scenario construction technique. The proposed task-driven automated scenario construction technique can solve the problem of decoupling between business scenarios and I2P cyber range network infrastructure. Specifically, our approach allows users to upload models/executable code to extend flexibly and fine-grained control I2P nodes, protocols, and traffic behavior characteristics. Then it empowers users to define application scenarios as needed, enabling them to handle intricate business scenarios programmatically. Therefore, it further supports diverse adversarial exercises and the validation of new technologies and scenarios within the dark web.

关键词： Measurement Privacy Costs Protocols Dark Web Scalability Neural networks

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Lightweight Task-Oriented Semantic communication Empowered by Large-Scale AI Models

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IEEE Transactions on Vehicular Technology 2025年

作者： Liu, Chuanhong Guo, Caili Yang, Yang Chen, Mingzhe Quek, Tony Q. S. Beijing University of Posts and Telecommunications Beijing Key Laboratory of Network System Architecture and Convergence School of Information and Communication Engineering Beijing100876 China Beijing University of Posts and Telecommunications Beijing Laboratory of Advanced Information Networks School of Information and Communication Engineering Beijing100876 China University of Miami Department of Electrical and Computer Engineering Institute for Data Science and Computing Coral GablesFL United States Singapore University of Technology and Design Dept. of Information Systems Technology and Design 487372 Singapore

Recent studies have focused on leveraging large-scale artificial intelligence (LAI) models to improve semantic representation and compression capabilities. However, the substantial computational demands of LAI models pose significant challenges for real-time communication scenarios. To address this, this paper proposes utilizing knowledge distillation (KD) techniques to extract and condense knowledge from LAI models, effectively reducing model complexity and computation latency. Nevertheless, the inherent complexity of LAI models leads to prolonged inference times during distillation, while their lack of channel awareness compromises the distillation performance. These limitations make standard KD methods unsuitable for task-oriented semantic communication scenarios. To address these issues, we propose a fast distillation method featuring a pre-stored compression mechanism that eliminates the need for repetitive inference, significantly improving efficiency. Furthermore, a channel adaptive module is incorporated to dynamically adjust the transmitted semantic information based on varying channel conditions, enhancing communication reliability and adaptability. In addition, an information bottleneck-based loss function is derived to guide the fast distillation process. Simulation results verify that the proposed scheme outperform baselines in term of task accuracy, model size, computation latency, and training data requirements. © 1967-2012 IEEE.

关键词： NP-hard

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Enhancement of video streaming QoS with active buffer management in wireless environments 13

Enhancement of video streaming QoS with active buffer manage...

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13th European Wireless Conference: Enabling Technologies for Wireless Multimedia communications, EW 2007

作者： Orlov, Zigmund Necker, Marc C. Institute of Communication Networks and Computer Engineering University of Stuttgart Pfaffenwaldring 47 StuttgartD-70569 Germany

With the emergence of high-speed wireless cellular networks, such as High Speed Downlink Packet Access (HSDPA) or WiMAX, new services with a high bandwidth demand have been introduced. One example is non-interactive video streaming. In contrast to wireline networks, the characteristics of wireless links, such as a time-varying bandwidth and the trade-off between delay and reliability, impose problems to a streamed video. In this paper, we study the impact of delay and losses within a Radio Access Network (RAN) on the video quality at the example of a state-of-the art HSDPA network. The nature of transmission errors is discussed. We investigate how active buffer management strategies within the RAN can alleviate the impact of an unreliable and time-varying link on the video quality, and we discuss the advantages and disadvantages of several proactive and reactive approaches. We further propose a proactive buffer management scheme with data differentiation which significantly increases the video quality by taking into account MPEG frame dependencies. Finally, we show that the structure of the MPEG-4 video data affect the performance of proactive buffer management schemes with data differentiation. © EW 2007 - 13th European Wireless Conference: Enabling Technologies for Wireless Multimedia communications. All rights reserved.

关键词： Video streaming

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Reconfigurable Intelligent Surfaces: A Physical Layer Security Perspective 4

Reconfigurable Intelligent Surfaces: A Physical Layer Securi...

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4th International Conference on Data Intelligence and Security, ICDIS 2022

作者： Lipps, Christoph Herbst, Jan Reddy, Rekha Franke, Lars Becker, Sven Rahm, Marco Dieter Schotten, Hans German Research Center for Artificial Intelligence Intelligent Networks Research Group KaiserslauternD-67663 Germany Institute for Wireless Communication and Radio Positioning Technische Universitt Kaiserslautern KaiserslauternD-67663 Germany Research Center OPTIMAS Technische Universit Kaiserslautern Department of Electrical and Computer Engineering KaiserslauternD-67663 Germany

ISBN: (数字)9781665459686

ISBN: (纸本)9781665459686

The conceptual design of the Sixth Generation (6G) wireless systems include, among others, Reconfigurable Intelligent Surfaces (RISs), arrays of elements that are capable of manipulating and reconfiguring the wireless propagation environment. Thereby, they are claimed to have advantages in different subjects, such as coverage, energy efficiency and localization. Therefore, this work discusses five use-cases of how RISs could contribute to Physical Layer Security (PhySec) concepts. By actively influencing the scattering, reflection and refraction characteristics of electromagnetic waves, beamforming and - splitting, as well as by adding individual information to the transmitted signals, they can increase the environmental wireless security. In addition to the description and discussion of the applicability of conceivable use-cases the RIS behaviour is demonstrated by full-wave simulations of the electric far-field. © 2022 IEEE.

关键词： Wireless networks

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An Analytical Study on Functional Split in Martian 3D networks

arXiv

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arXiv 2022年

作者： Bonafini, Stefano Sacchi, Claudio Bassoli, Riccardo Granelli, Fabrizio Kondepu, Koteswararao Fitzek, Frank H.P. University of Trento Trento Italy The Department of Computer Science and Engineering Indian Institute of Technology Dharwad Dharwad India The Deutsche Telekom Chair of Communication Networks Institute of Communication Technology Faculty of Electrical and Computer Engineering Technische Universität Dresden Dresden Germany Cluster of Excellence Dresden Germany

As space agencies are planning manned missions to reach Mars, researchers need to pave the way for supporting astronauts during their sojourn. This will also be achieved by providing broadband and low-latency connectivity through wireless network infrastructures. In such a framework, we propose a Martian deployment of a 3-Dimensional (3D) network acting as Cloud Radio Access Network (C-RAN). The scenario consists, mostly, of unmanned aerial vehicles (UAVs) and nanosatellites. Thanks to the thin Martian atmosphere, CubeSats can stably orbit at very-low-altitude. This allows to meet strict delay requirements to split functions of the baseband processing between drones and CubeSats. The detailed analytical study, presented in this paper, confirmed the viability of the proposed 3D architecture, under some constraints and trade-off concerning the involved Space communication infrastructures, that are discussed in detail. © 2022, CC BY-NC-ND.

关键词： Antennas

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Wavelength-Division-Multiplexed Transmission and Dispersion Compensation Enabled by Soliton Microcombs and Cascaded Microrings

Wavelength-Division-Multiplexed Transmission and Dispersion ...

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Conference on Lasers and Electro-Optics (CLEO)

作者： Yuanbin Liu Hongyi Zhang Jiacheng Liu Liangjun Lu Jiangbing Du Yu Li Zuyuan He Jianping Chen Linjie Zhou Andrew W. Poon Department of Electronic Engineering State Key Laboratory of Advanced Optical Communication Systems and Networks Shanghai Key Lab of Navigation and Location Services Shanghai Institute for Advanced Communication and Data Science Shanghai Jiao Tong University Shanghai China SJTU-Pinghu Institute of Intelligent Optoelectronics Pinghu China Department of Electronic and Computer Engineering Photonic Device Laboratory The Hong Kong University of Science and Technology Clear Water Bay Hong Kong

We demonstrate wavelength-division-multiplexed data transmission and dispersion compensation of 25 Gb/s $\times 9$ on-off-keying signals over a 20-km singlemode fiber using an integrated single-soliton microcomb and... 详细信息

ISBN: (纸本)9798350369311

关键词： Solitons Lasers and electrooptics Wavelength division multiplexing Data communication Quantum cascade lasers Electro-optical waveguides Optical fiber dispersion Fiber lasers

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Adaptive Defense Mechanisms Against Zero-Day Attacks in Wireless Sensor networks

Adaptive Defense Mechanisms Against Zero-Day Attacks in Wire...

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Distributed Systems, computer networks and Cybersecurity (ICDSCNC), International Conference on

作者： Abhay Chaturvedi Sanjeev Kukreti Durga Bhavani A Venkata Naga Ravi Kiran Nizampatnam Davinder Kaur Natrayan L Department of Electronics & Communication Engineering GLA University Chaumuhan India Department of Computer Science & Engineering Graphic Era Deemed to be University Dehradun India Department of Computer Science and Engineering BMS Institute of Technology and Management Bengaluru India Department of Computer Networks Expert Network Security Engineer Acxiom LLC Austin Texas USA Department of Law Symbiosis Law School Symbiosis International (Deemed University) Pune India Department of Mechanical Engineering Saveetha School of Engineering SIMATS Kuthambakkam India

ISBN: (数字)9798350375442

ISBN: (纸本)9798350375459

Important fields including healthcare, environmental monitoring, and military operations are seeing a rise in the use of wireless sensor networks (WSNs). But they are susceptible to complex cyber dangers, especially zero-day assaults, due to their dispersed nature and lack of resources. In order to protect WSNs against zero-day attacks, this research introduces an Adaptive Defense Mechanism (ADM). A dynamic response system that can adjust to changing attack patterns in real-time is integrated with machine learning-based anomaly detection in the proposed ADM. A hybrid model integrating Support Vector Machines (SVM) and Long Short-Term Memory (LSTM) networks is used by the anomaly detection module. It achieves a detection accuracy of 94.7% on simulated zero-day assault scenarios. In comparison to static defensive systems, the ADM's adaptive response mechanism, which is based on reinforcement learning, dynamically modifies the network's security regulations, resulting in a 23.5% reduction in false positives. Results from testing the proposed ADM in a simulated WSN setting show that it can greatly improve the network's ability to withstand zero-day assaults. With assaults present, the total network throughput increased by 15% and the average detection time dropped to 0.35 seconds. Based on these findings, the ADM provides a strong and effective defensive technique, guaranteeing the safety and dependability of WSNs in mission-critical applications.

关键词： Support vector machines Wireless sensor networks Adaptive systems Reinforcement learning Throughput Routing protocols computer security Long short term memory Anomaly detection Testing

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Directly wireless communication of human minds via non-invasive brain-computer-metasurface platform

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eLight 2022年第1期2卷 132-142页

作者： Qian Ma Wei Gao Qiang Xiao Lingsong Ding Tianyi Gao Yajun Zhou Xinxin Gao Tao Yan Che Liu Ze Gu Xianghong Kong Qammer HAbbasi Lianlin Li Cheng‑Wei Qiu Yuanqing Li Tie Jun Cui Institute of Electromagnetic Space Southeast UniversityNanjing 210096China School of Automation Science and Engineering South China University of TechnologyGuangzhou 510641China State Key Laboratory of Millimeter Wave Southeast UniversityNanjing 210096China Center of Intelligent Metamaterials Pazhou Laboratory Guangzhou 510330China Research Center for Brain-Computer Interface Pazhou LabGuangzhou 510330China Department of Electrical and Computer Engineering National University of SingaporeSingaporeSingapore University of Glasgow James Watt School of EngineeringGlasgow G128QQUK State Key Laboratory of Advanced Optical Communication Systems and Networks Department of ElectronicsPeking UniversityBeijing 100871China

Brain-computer interfaces(BCIs),invasive or non-invasive,have projected unparalleled vision and promise for assisting patients in need to better their interaction with the *** by the BCI-based rehabilitation technologies for nerve-system impairments and amputation,we propose an electromagnetic brain-computer-metasurface(EBCM)paradigm,regulated by human’s cognition by brain signals directly and *** experimentally show that our EBCM platform can translate human’s mind from evoked potentials of P300-based electroencephalography to digital coding information in the electromagnetic domain non-invasively,which can be further processed and transported by an information metasurface in automated and wireless *** wireless communications of the human minds are performed between two EBCM operators with accurate text ***,several other proof-of-concept mind-control schemes are presented using the same EBCM platform,exhibiting flexibly-customized capabilities of information processing and synthesis like visual-beam scanning,wave modulations,and pattern encoding.

关键词： communication computer surface

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Shaping the future of the application of quantum computing in intelligent transportation system

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Intelligent and Converged networks 2021年第4期2卷 259-276页

作者： Sumin Wang Zhi Pei Chao Wang Jie Wu Key Laboratory of Specialty Fiber Optics and Optical Access Networks Joint International Research Laboratory of Specialty Fiber Optics and Advanced CommunicationShanghai Institute for Advanced Communication and Data ScienceShanghai UniversityShanghai 200444China Department of Information Engineering Gannan University of Science and TechnologyGanzhou 341000China Department of Computer and Information Sciences Temple UniversityPhiladelphiaPA 19122USA

The intelligent transportation system(ITS)integrates a variety of advanced science and technology to support and monitor road traffic systems and accelerate the urbanization process of various *** paper analyzes the shortcomings of ITS,introduces the principle of quantum computing and the performance of universal quantum computer and special-purpose quantum computer,and shows how to use quantum advantages to improve the existing *** application of quantum computer in transportation field is reviewed from three application directions:path planning,transportation operation management,and transportation facility *** to the slow development of the current universal quantum computer,the D-Wave quantum machine is used as a breakthrough in the practical *** paper makes it clear that quantum computing is a powerful tool to promote the development of ITS,emphasizes the importance and necessity of introducing quantum computing into intelligent transportation,and discusses the possible development direction in the future.

关键词： quantum computing intelligent transportation quantum annealing D-wave quantum computer

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