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24th International Conference on Advanced communication technology, ICACT 2022

作者： DInh, Truong Duy Vishnevsky, Vladimir Pham, Van Dai Le, Duc Tran Kirichek, Ruslan Koucheryavy, Andrey Bonch-Bruevich Saint-Petersburg State University of Telecommunications Prospekt Bolshevikov Department of Software Engineering and Computer Technology St. Petersburg Russia V. A. Trapeznikov Institute of Control Sciences of Russian Academy of Sciences 65 Profsoyuznaya Street Moscow Russia The University of Danang-University of Science and Technology Information Technology Faculty 54 Nguyen Luong Bang Danang Viet Nam University of Telecommunications Department of Communication Networks and Data Transmission at Bonch-Bruevich Saint-Petersburg State Russia

ISBN: (纸本)9791188428090

In the last decade, unmanned aerial systems have emerged in different fields, such as entertainment, military, Internet of Things, emergencies. In these systems, unmanned aerial vehicles (UAVs) communicate with each other based on a flying network to provide services to customers such as live streaming, high-speed access point, etc. The mobility of UAVs can bring numerous advantages in emergency cases, for example, rescuing and searching victims in areas where the network infrastructure is not available. However, the crucial task needed to be done first is to locate the victims' coordinates. In this paper, we propose a method for detecting the coordinates of subscribers with the Wi-Fi signals generated from victims' phones in the absence of network infrastructure of communication operators using a flying network for emergencies based on UAV-swarms. We develop a new protocol for communication between UAVs and UAV-swarms. A structure of UAV-swarms is considered to optimize the searching time. The results of the proposed method are achieved by simulation. © 2022 Global IT Research Institute-GiRI.

关键词： Wi-Fi

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LoBee: Bidirectional communication between LoRa and ZigBee based on Physical-Layer CTC

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IEEE Transactions on Wireless communications 2025年

作者： Gao, Demin Wang, Haoyu Chen, YongRui Ye, Qiaolin Wang, Weizheng Guo, Xiuzhen Wang, Shuai Liu, Yunhuai He, Tian Nanjing Forestry University College of Information Science and Technology Artificial Intelligence Nanjing210037 China University of Minnesota The Department of Computer Science and Engineering 55414 United States University of Chinese Academy of Sciences School of Electronic Electrical and Communication Engineering Beijing100049 China Southeast University The School of Computer Science and Engineering Nanjing211189 China City University of Hong Kong Department of Computer Science 999077 Hong Kong College of Control Science and Engineering Zhejiang 310027 China Peking University The Department of Computer Science and Engineering Beijing100871 China University of Minnesota The Department of Computer Science and Engineering Minneapolis55414 United States

LoRa networks operating in a star topology, this configuration creates a single point of failure and may limit scalability and reliability in areas that are large and geographically dispersed. In order to improve the overall transmission capabilities of the network, recent studies show that adding LoRa to the ZigBee devices effectively disseminates network management. By doing so, the strengths of both technologies can be leveraged, with LoRa serving as the long-range transmitter and ZigBee functioning as the mesh network. In this study, we present LoBee, a novel bidirectional communication method between LoRa and ZigBee that relies on Physical-Layer Cross-technology communication. Despite the fact that LoRa and ZigBee utilize different modulation techniques, ZigBee devices can detect and recognize LoRa chirps through the process of sampling the received signal strength. For the transmissions from ZigBee to LoRa devices, we carefully select the input chips to generate specific waveforms, where LoBee detects the preamble of a ZigBee frame based on the locations of the repeated peaks. Our evaluation, which was conducted using USRP and commodity devices, demonstrates that LoBee is capable of achieving concurrent bidirectional wireless communications, with a data rate of approximately 639.38 bits per second from LoRa to ZigBee and from ZigBee to LoRa with more than 90% frame reception rate in the 2.4 GHz frequency band. © 2002-2012 IEEE.

关键词： Zigbee

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10 GHz Robust polarization modulation towards high-speed satellite-based quantum communication

arXiv

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arXiv 2024年

作者： Wang, Zexu Xu, Huaxing Li, Ju Huang, Jinquan Han, Hui Wang, Changlei Zhang, Ping Yin, Feifei Xu, Kun Liu, Bo Dai, Yitang State Key Laboratory of Information Photonics and Optical Communications Beijing University of Posts and Telecommunications Beijing100876 China National Engineering Research Center for Public Safety Risk Perception and Control by Big Data China Academy of Electronics and Information Technology Beijing100041 China CETC Academy of Electronics and Information Technology Group Co. Ltd. Beijing100041 China College of Advanced Interdisciplinary Studies National University of Defense Technology Changsha410073 China School of Electronics and Communication Engineering Sun Yat-sen University Guangdong Shenzhen518107 China College of Computer National University of Defense Technology Changsha4100730 China

In practical satellite-based quantum key distribution (QKD) systems, the preparation and transmission of polarization-encoding photons suffer from complex environmental effects and high channel-loss. Consequently, the hinge to enhancing the secure key rate (SKR) lies in achieving robust, low-error and high-speed polarization modulation. Although the schemes that realize self-compensation exhibit remarkable robustness. Their modulation speed is constrained to approximately 2 GHz to avoid the interaction between the electrical signal and the reverse optical pulses. Here we utilize the non-reciprocity of the lithium niobate modulators and eliminate the modulation on the reverse optical pulses. As this characteristic is widely available in the radio-frequency band, the modulation speed is no longer limited by the self-compensating optics and can be further increased. The measured average intrinsic QBER of the different polarization states at 10 GHz system repetition frequency is as low as 0.53% over 10 min without any compensation. And the experiment simulation shows that the proposed scheme extends the transmission distance to more than 350 km. Our work can be be efficient performed to the high-speed and high-loss satellite-based quantum communication scenario. © 2024, CC BY.

关键词： Quantum communication

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Differentiable N-gram Objective on Abstractive Summarization

arXiv

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arXiv 2022年

作者： Zhu, Yunqi Yang, Xuebing Wu, Yuanyuan Zhu, Mingjin Zhang, Wensheng School of Information and Communication Engineering Hainan University Haikou China Research Center of Precision Sensing and Control Institute of Automation Chinese Academy of Sciences Beijing China Shien-Ming Wu School of Intelligent Engineering South China University of Technology Guangzhou China

ROUGE is a standard automatic evaluation metric based on N -gram for sequence-to-sequence tasks like abstractive summarization, while cross-entropy loss is an essential objective that optimizes at unigram level for neural network language models. In this paper we present differentiable N -gram objectives, attempting to alleviate the discrepancy between training and evaluating criteria. The novelty of our work is the objective does not ceil the number of matched sub-sequences by the ground truth count of N -gram in reference sequence and weights the matched sub-sequences equally. Therefore, our proposed objective can maximize the probabilistic weight of matched sub-sequences. We jointly optimize cross-entropy loss and the objective, providing decent evaluation scores enhancement including ROUGE over abstractive summarization datasets CNN/DM and XSum, outperforming competitive N -gram objectives. Copyright © 2022, The Authors. All rights reserved.

关键词： Entropy

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Deterioration Modes, Mechanisms, and Effects of Landfill Facilities Disposing Hazardous Waste

SSRN

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SSRN 2023年

作者： Qiu, Panpan Xu, Ya Yao, Guangyuan Liu, Yuqiang Dong, Lu Huang, Qifei State Key Laboratory of Environmental Criteria and Risk Assessment Chinese Research Academy of Environmental Sciences Beijing100012 China State Environmental Protection Key Laboratory of Hazardous Waste Identification and Risk Control Beijing100012 China School of Information and Communication Engineering Beijing University of Technology Beijing100000 China

The knowledge gap on the major failure modes and mechanisms in landfills and their possible effects on the service life of landfills and their impact on the surrounding environment has limited the further development of research related to long-term environmental risk and life prediction of landfills. In this study, an FMMEA analysis was conducted to identify the major failure modes, mechanisms, and impacts that may occur in landfills under extreme harsh chemical and stress conditions. The results show that a total of 34 degradation factors and 34 potential failure modes were identified. The failure severity of the drainage media in the drainage system is high (Class III) and difficult to restore, while the failure severity of the HDPE geomembrane (GMB) in the liner system is extremely high (Class II) and occurs easily, but is hard to detect;thus, these are identified as the key units affecting HWLs life and are the focus of subsequent studies for its performance degradation and life prediction. The paper also points out that stress damage (physical damage) and oxidative aging are the degradation modes of the HDPE GMB under the HWL service environment due to their high probability of occurrence and serious deterioration consequences and is of great significance for guiding the long-term maintenance and management, monitoring, and early warning, as well as the risk management and control of HWLs. © 2023, The Authors. All rights reserved.

关键词： Deterioration

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A Horizontal Federated Learning Approach to IoT Malware Traffic Detection: An Empirical Evaluation with N-BaIoT Dataset

A Horizontal Federated Learning Approach to IoT Malware Traf...

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International Conference on Advanced communication technology (ICACT)

作者： Phuc Hao Do Tran Duc Le Vladimir Vishnevsky Aleksandr Berezkin Ruslan Kirichek The Bonch-Bruevich Saint-Petersburg State University of Telecommunications Saint-Petersburg Russia Danang Architecture University Da Nang Viet Nam Department of Communication Networks and Data Transmission at Bonch-Bruevich Saint-Petersburg State University of Telecommunications Russia University of Science and Technology - The University of Danang Da Nang Viet Nam Information Technology Faculty The University of Danang - University of Science and Technology Danang Vietnam V. A. Trapeznikov Institute of Control Sciences of Russian Academy of Sciences Moscow Russia Institute of Control Sciences of Russian Academy of Sciences Russia Department of Programming Engineering and Computer Science Bonch Bruevich Saint Petersburg State University of Telecommunications

The increasing prevalence of botnet attacks in IoT networks has led to the development of deep learning techniques for their detection. However, conventional centralized deep learning models pose challenges in simultaneously ensuring user data privacy and detecting botnet attacks. To address this issue, this study evaluates the efficacy of Federated Learning (FL) in detecting IoT malware traffic while preserving user privacy. The study employs N-BaIoT, a dataset of real-world IoT network traffic infected by malware, and compares the effectiveness of FL models using Convolutional Neural Network, Long Short-Term Memory, and Gated Recurrent Unit models with a centralized approach. The results indicate that FL can achieve high performance in detecting abnormal traffic in IoT networks, with the CNN model yielding the best results among the three models evaluated. The study recommends the use of FL for IoT malware traffic detection due to its ability to preserve data privacy.

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NTIRE 2023 Challenge on Efficient Super-Resolution: Methods and Results

NTIRE 2023 Challenge on Efficient Super-Resolution: Methods ...

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2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2023

作者： Li, Yawei Zhang, Yulun Timofte, Radu Van Gool, Luc Yu, Lei Li, Youwei Li, Xinpeng Jiang, Ting Wu, Qi Han, Mingyan Lin, Wenjie Jiang, Chengzhi Luo, Jinting Fan, Haoqiang Liu, Shuaicheng Wang, Yucong Cai, Minjie Li, Mingxi Zhang, Yuhang Fan, Xian-Jun Sheng, Yankai Mao, Yanyu Zhang, Nihao Wang, Qian Zheng, Mingjun Sun, Long Pan, Jinshan Dong, Jiangxin Tang, Jinhui Yang, Zhongbao Wang, Yan Pan, Erlin Cai, Qixuan Dai, Xinan Zhussip, Magauiya Kalyazin, Nikolay Vyal, Dmitry Zou, Xueyi Yan, Youliang Chung, Heaseo Zhang, Jin Yu, Gaocheng Zhang, Feng Wang, Hongbin Liao, Bohao Du, Zhibo Wu, Yu-Liang Shi, Gege Peng, Long Wang, Yang Cao, Yang Zha, Zhengjun Huang, Zhi-Kai Chen, Yi-Chung Chiang, Yuan-Chun Yang, Hao-Hsiang Chen, Wei-Ting Chang, Hua-En Chen, I-Hsiang Hsieh, Chia-Hsuan Kuo, Sy-Yen Liu, Xin Pan, Jiahao Yu, Hongyuan Yu, Weichen Ge, Lin Dong, Jiahua Zou, Yajun Wu, Zhuoyuan Han, Binnan Zhang, Xiaolin Zhang, Heng Yin, Xuanwu Zuo, Kunlong Deng, Weijian Yuan, Hongjie Lu, Zengtong Ouyang, Mingyu Ma, Wenzhuo Liu, Nian Zheng, Hanyou Zhang, Yuantong Zhang, Junxi Chen, Zhenzhong Gendy, Garas Sabor, Nabil Hou, Jingchao He, Guanghui Zhu, Yurui Wang, Xi Fu, Xueyang Zha, Zheng-Jun Yin, Daheng Liu, Mengyang Chen, Baijun Li, Ao Luo, Lei Jin, Kangjun Zhu, Ce Zhang, Xiaoming Xie, Chengxing Li, Linze Meng, Haiteng Zhang, Tianlin Li, Tianrui Zhao, Xiaole Zhang, Zhao Li, Baiang Zheng, Huan Zhao, Suiyi Gao, Yangcheng Ren, Jiahuan Hu, Kang Shi, Jingpeng Wu, Zhijian Huang, Dingjiang Zhu, Jinchen Li, Hui Xv, Qianru Liu, Tianle Weng, Shizhuang Wu, Gang Jiang, Junpeng Liu, Xianming Jiang, Junjun Zhang, Mingjian Hu, Jing Wu, Chengxu Fan, Qinrui Feng, Chengming Luo, Ziwei Hu, Shu Lyu, Siwei Wu, Xi Wang, Xin Computer Vision Lab ETH Zurich Switzerland Computer Vision Lab University of Würzburg Germany Megvii Technology China MicroBT China College of Computer Science and Electronic Engineering Hunan University China Attrsense Xian University of Posts and Telecommunications Xi'an China National Engineering Laboratory for Cyber Event Warning and Control Technologies China Nanjing University of Science and Technology China Nankai University China University of Electronic Science and Technology of China China Tianjin University China Noah's Ark Lab Huawei Technologies McMaster University Canada Espresomedia Korea Republic of AntGroup China University of Science and Technology of China China Department of Electrical Engineering National Taiwan University Taiwan Graduate Institute of Communication Engineering National Taiwan University Taiwan Graduate Institute of Electronics Engineering National Taiwan University Taiwan ServiceNow United States China Mobile Research Institute China Chongqing University of Technology China Multimedia Department Xiaomi Inc. China Institute of Automation Chinese Academy of Sciences China Shenyang Institute of Automation Chinese Academy of Sciences China School of Information and Communication Engineering Communication University of China China Smart Classroom Division Ruijie Networks Co. Ltd. China School of Remote Sensing and Information Engineering Wuhan University China Micro-Nano Electronics Department Shanghai Jiao Tong University Shanghai200240 China Electrical Engineering Department Faculty of Engineering Assiut University Assiut71516 Egypt Southeast University China University of Electronic Science and Technology of China Chengdu China Chongqing University of Posts and Telecommunications Chongqing China Information Technology Co. Ltd Hangzhou China Southwest Jiaotong University China National Space Science Center Chinese Academy of Science China Hefei University of Technology Hefei China Anhui University China Fried Ric

ISBN: (纸本)9798350302493

This paper reviews the NTIRE 2023 challenge on efficient single-image super-resolution with a focus on the proposed solutions and results. The aim of this challenge is to devise a network that reduces one or several aspects such as runtime, parameters, FLOPs, activations, memory footprint, and depth of RFDN while at least maintaining the PSNR of 29.00dB on DIV2K validation datasets. The challenge had 272 registered participants, and 35 teams made valid submissions. They gauge the state-of-the-art for efficient single-image super-resolution. © 2023 IEEE.

关键词： Optical resolving power

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Quick Routing Response to Link Failure in Low-Earth Orbit Satellite Networks

Quick Routing Response to Link Failure in Low-Earth Orbit Sa...

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International Conference on Computer and communications (ICCC)

作者： Zhiping Lu Ruxin Zhi Weiguo Ma School of Information and Communication Engineering Beijing University of Posts and Telecommunications State Key Laboratory of Wireless Mobile Communications China Academy of Telecommunications Technology (CATT) Beijing China Key Laboratory of Information and Communication Systems Ministry of Information Industry Beijing Information Science and Technology University Key Laboratory of Modern Measurement and Control Technology Ministry of Education Beijing Information Science and Technology University Beijing China

Low earth orbit satellite communication systems are attractive for provisioning global, high-speed and low latency Internet access services. In order to achieve global continuous multiple coverage, the number of satellites is tremendous. But Low earth orbit satellite networks are prone to instability due to unpredictable link failures and frequent topology changes. Therefore, in this paper, a novel routing schemes with quick response to link failures is first proposed. Based on Dijkstra algorithm, a scalable routing algorithm is proposed to minimize the end-to-end transmission delay. It takes advantage of the predictable constellation trajectory, and changes dynamically according to the changes of network topology. It provides the shortest routing path and an alternative path simultaneously. When a link failure is detected by one satellite, notification packets will be sent to its neighbors for adjustment to the alternative routing path. Notification packets also will be sent to the head node for the recalculation of routing table. Finally, extensive simulations have been conducted, and the results show that the proposed scheme is able to produce desired performance.

关键词： Satellites Network topology Heuristic algorithms Dynamics Low earth orbit satellites Packet loss Routing

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Towards Safe Inter-train Distance Minimization via Reachability Analysis and Mixed H2/H∞ control

Towards Safe Inter-train Distance Minimization via Reachabil...

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Chinese Automation Congress (CAC)

作者： Min Yang Jidong Lv Hongjie Liu Miao Zhang National Engineering Research Center of Rail Transportation Operation and Control System Beijing Jiaotong University Beijing China Signal and Communication Research Institute National Research Center of Railway Intelligence Transportation System Engineering Technology China Academy of Railway Sciences Corporation Limited Beijing China

In high-speed railway, designing a reasonable controller of train control system is an important way to enhance the transportation capacity, while considering more dynamic behaviors of the preceding train, such as position, speed and acceleration etc, through V2V communication. In this paper we propose a novel method towards the safe inter-train distance minimization problem via reachability analysis and mixed H 2 /H ∞ control. Firstly, by considering the disturbance behavior of the preceding train, a linear closed-loop system is modeled, in which the gains of a state feedback and a state feedback/feedforward, refer to controller A and controller B respectively, are designed using mixed H 2 /H ∞ control theory. Then, the N-step forward reachable set for the two given controllers is presented to compute the maximum position error, which determines the minimum safe inter-train distance. Furthermore, backward reachability analysis algorithm is used to find the maximal initial state set, which guarantees that the state trajectory stay within the safe set in presence of disturbance. Finally, the proposed method is applied to a typical emergency braking scenario during two-train tracking. The experimental results show that the safety margin can be reduced by 54% and the maximal initial state set can be enlarged conspicuously when a feedforward term is used in the controller.

关键词： State feedback Analytical models Uncertainty Computational modeling Minimization control theory Behavioral sciences

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A measurement Campaign of Industrial Environment for Ultra Reliable IIoT Systems

A Measurement Campaign of Industrial Environment for Ultra R...

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International Conference on Wireless communications and Signal Processing (WCSP)

作者： Qiwei Zhang Tian Hong Loh Dong Zhou Fei Shen Zhipei Huang Fei Qin School of Electronics Electrical and Communication Engineering University of Chinese Academy of Sciences Beijing China Electromagnetic & Electrochemical Technologies Department National Physical Laboratory Teddington UK Department of Electronic Control and Intelligent Qiqihar Heavy CNC Equipment Corp Heilongjiang China Shanghai Institute of Microsystem and Information Technology Chinese Academy of Sciences Shanghai China

ISBN: (纸本)9781665450867

The large-scale deployment of Industrial Internet of Things (IIoT) is still facing the challenge of providing reliable service with wireless networks, which is envisaged due to the severe multipath fading caused by numerous metal reflectors in industrial environments. Therefore, the channel measurement for different multipath fading scenarios is an important part of exploring the channel characteristics of industrial environments. In this paper, we measured the wideband channel characteristics of a microelectronic manufacturing and a classroom environment with the similar volume. The comparison between them has demonstrated the essential empirical characterisations of wireless industrial channel. Based on these findings, we then propose an empirical PDP model and investigate the root mean square delay spread and coherent bandwidth in these two scenarios, which enabling insight understanding of the channel characteristics and the deployment of IIoT systems operating in industrial scenarios.

关键词： Fading channels Wireless networks Volume measurement Metals Delays Microelectronics Reliability

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