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Enhancing Device-Free Gesture Recognition Capability of Mobile communication Signals

IEEE Transactions on communications 2025年

作者： Wu, Jingmiao He, Weijie Sun, Kai Huang, Wei Zhang, Haijun Leung, Victor C. M. Inner Mongolia University School of Electronic Information Engineering Inner Mongolia Key Laboratory of Intelligent Communication and Sensing and Signal Processing Hohhot010021 China University of Science and Technology at Beijing Beijing Engineering and Technology Research Center for Convergence Networks and Ubiquitous Services Beijing100083 China Shenzhen University College of Computer Science and Software Engineering Shenzhen518060 China The University of British Columbia Department of Electrical and Computer Engineering VancouverBCV6T 1Z4 Canada

Device-free gesture recognition using mobile communication signals is a convenient and efficient technology with broad application prospects in smart homes and human-computer interaction. It utilizes the effect of gestures on surrounding signals to achieve gesture recognition. The cell-specific reference signals (CRS) information can be used to achieve the task in close-range training scenarios. However, when gestures are performed at long-range or in non-training scenarios, the recognition performance will significantly degrade. To enhance device-free gesture recognition capability in arbitrary scenarios, we propose the signal quality enhancement algorithm and the gesture spectrogram construction method to solve this problem. Specifically, we superimpose the CRS information from multiple carriers to improve the gesture signal-to-noise ratio and increase the gesture sensing range. Then, we extract the gesture dynamic components from the CRS information and construct gesture spectrograms to represent scenario-independent gesture motion patterns. Using the gesture spectrogram features, we design a deep network to accomplish the gesture recognition task. We built a prototype system on a software-defined radio platform. Experimental results show that our proposed method can effectively increase the gesture sensing range from 30m² to 228m² and achieve an average recognition accuracy of 82.5% for five types of gestures in arbitrary scenarios. © 1972-2012 IEEE.

关键词： Gesture recognition

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Fiber optic jerk sensor in monitoring earthquake response of high-rise building 27

Fiber optic jerk sensor in monitoring earthquake response of...

引用

27th International Conference on Optical Fiber Sensors, OFS 2020

作者： Zhang, Wentao Huang, Wenzhu Zhao, Bin Zhang, Jianxiang Li, Zhengbin Li, Li Li, Fang College of Materials Science and Opto-Electronic Technology University of Chinese Academy of Sciences Beijing China State Key Laboratory of Transducer Technology Institute of Semiconductors Chinese Academy of Sciences Beijing China College of Civil Engineering Tongji University Shanghai China State Key Laboratory of Advanced Optical Communication Systems and Networks School of Electronics Engineering and Computer Science Peking University Beijing China Institute of Geophysics China Earthquake Administration Beijing China

This paper proposed an earthquake response monitoring technique of high-rise buliding using fiber optic jerk sensor. The results show that the fiber optic jerk sensor can monitor the jerk response of different seismic... 详细信息

ISBN: (纸本)9781557523075

关键词： Fiber optics

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Scientific Workflow Scheduling in Mobile Edge Computing Based on a Discrete Butterfly Optimization Algorithm

Research Square

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Research Square 2021年

作者： Lansky, Jan Mohammadi, Mokhtar Mohammed, Adil Hussein Taher Karim, Sarkhel H. Rashidi, Shima Rahmani, Amir Masoud Hosseinzadeh, Mehdi Department of Computer Science and Mathematics Faculty of Economic Studies University of Finance and Administration Prague Czech Republic Department of Information Technology Lebanese French University Kurdistan Region Erbil Iraq Department of Communication and computer engineering Cihan university-Erbil Kurdistan Region Erbil Iraq Computer Department College of Science University of Halabja Halabja Iraq Sulaimani Polytechnic University Technical College of Informatics Computer Networks Department Sulaymaniyah Iraq Department of Computer Science University of Human Development Sulaymaniyah Iraq Future Technology Research Center National Yunlin University of Science and Technology 123 University Road Section 3 Douliou Yunlin64002 Taiwan Department of computer science Khazar University Baku Azerbaijan Institute of Research and Development Duy Tan University Da Nang550000 Viet Nam Mental Health Research Center Psychosocial Health Research Institute Iran University of Medical Sciences Tehran Iran

Mobile Edge Computing (MEC) is an interesting technology aimed at providing various processing and storage resources at the edge of the Internet of things (IoT) networks. However, MECs contain limited resources, and they should be managed effectively to improve resource utilization. Workflow scheduling is a process that tries to map the workflow tasks to the most proper set of computing resources regarding some objectives. For this purpose, this paper presents DBOA, a discrete version of the Butterfly Optimization Algorithm (BOA) that applies the Levy flight to improve its convergence speed and prevent the local optima problem. Then, DBOA is applied for DVFS-based data-intensive workflow scheduling and data placement in MEC environments. This scheme also employs the HEFT algorithm's task prioritization method to find the task execution order in the scientific workflows. For evaluating the performance of the proposed scheduling scheme, extensive simulations are conducted on various well-known scientific workflows with different sizes. The obtained experimental results indicate that this method can outperform other algorithms regarding energy consumption, data access overheads, etc. © 2021, CC BY.

关键词： Optimization

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Blackout resilient optical core network

arXiv

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arXiv 2020年

作者： Nasralla, Zaid H. Elgorashi, Taisir E.H. Elmirghani, Jaafar M.H. Computer Science Department College of Science University of Kerbala Karbala56001 Iraq School of Electronic and Electrical Engineering Institute of Communication and Power Networks University of Leeds LeedsLS2 9JT United Kingdom

A disaster may not necessarily demolish the telecommunications infrastructure, but instead it might affect the national grid and cause blackouts, consequently disrupting the network operation unless there is an alternative power source(s). In this paper, power outages are considered, and the telecommunication network performance is evaluated during a blackout. Two approaches are presented to minimize the impact of power outage and maximize the survival time of the blackout node. A mixed integer linear programming (MILP) model is developed to evaluate the network performance under a single node blackout scenario. The model is used to evaluate the network under the two proposed scenarios. The results show that the proposed approach succeeds in extending the network life time while minimizing the required amount of backup energy. Copyright © 2020, The Authors. All rights reserved.

关键词： Outages

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Soliton bursts and deterministic dissipative Kerr soliton generation in auxiliary-assisted microcavities

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Light(science & Applications) 2019年第1期8卷 739-748页

作者： Heng Zhou Yong Geng Wenwen Cui Shu-Wei Huang Qiang Zhou Kun Qiu Chee Wei Wong Key Lab of Optical Fiber Sensing and Communication Networks University of Electronic Science and Technology of China611731 ChengduChina Fang Lu Mesoscopic Optics and Quantum Electronics Laboratory University of CaliforniaLos AngelesCA 90095USA Department of Electrical Computerand Energy EngineeringUniversity of ColoradoBoulderCO 80309USA Institute of Fundamental and Frontier Sciences University of Electronic Science and Technology of China611731 ChengduChina

Dissipative Kerr solitons in resonant frequency combs offer a promising route for ultrafast mode-locking,precision spectroscopy and time-frequency *** dynamics for the dissipative soliton generation,however,are intrinsically intertwined with thermal nonlinearities,limiting the soliton generation parameter map and statistical success probabilities of the solitary ***,via use of an auxiliary laser heating approach to suppress thermal dragging dynamics in dissipative soliton comb formation,we demonstrate stable Kerr soliton singlet formation and soliton ***,we access a new soliton existence range with an inverse-sloped Kerr soliton evolution—diminishing soliton energy with increasing pump ***,we achieve deterministic transitions from Turinglike comb patterns directly into the dissipative Kerr soliton singlet pulse bypassing the chaotic *** is achieved by avoiding subcomb overlaps at lower pump power,with near-identical singlet soliton comb generation over twenty ***,with the red-detuned pump entrance route enabled,we uncover unique spontaneous soliton bursts in the direct formation of low-noise optical frequency combs from continuum background *** burst dynamics are due to the rapid entry and mutual attraction of the pump laser into the cavity mode,aided by the auxiliary laser and matching well with our numerical *** by the auxiliary-assisted frequency comb dynamics,we demonstrate an application of automatic soliton comb recovery and long-term stabilization against strong external *** findings hold potential to expand the parameter space for ultrafast nonlinear dynamics and precision optical frequency comb stabilization.

关键词： soliton auxiliary dissipative

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Wireless Large AI Model: Shaping the AI-Native Future of 6G and Beyond

arXiv

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arXiv 2025年

作者： Zhu, Fenghao Wang, Xinquan Li, Xinyi Zhang, Maojun Chen, Yixuan Huang, Chongwen Yang, Zhaohui Chen, Xiaoming Zhang, Zhaoyang Jin, Richeng Huang, Yongming Feng, Wei Yang, Tingting Bai, Baoming Gao, Feifei Yang, Kun Liu, Yuanwen Muhaidat, Sami Yuen, Chau Huang, Kaibin Wong, Kai-Kit Niyato, Dusit Debbah, Mérouane College of Information Science and Electronic Engineering Zhejiang University Hangzhou310027 China School of Automation Southeast University Nanjing210096 China Tsinghua University Beijing100084 China Pengcheng Laboratory Shenzhen518066 China State Key Laboratory of Integrated Service Networks Xidian University Xi’an710071 China State Key Laboratory of Novel Software Technology Nanjing University Nanjing210008 China Suzhou215163 China The University of Hong Kong Hong Kong KU 6G Research Center Computer and Communication Engineering Khalifa University Abu Dhabi127788 United Arab Emirates School of Electrical and Electronic Engineering Nanyang Technological University Singapore Singapore Department of Electronic and Electrical Engineering University College London LondonWC1E 7JE United Kingdom College of Computing and Data Science Nanyang Technological University Singapore639798 Singapore KU 6G Research Center Department of Computer and Information Engineering Khalifa University Abu Dhabi127788 United Arab Emirates

The emergence of sixth-generation and beyond communication systems is expected to fundamentally transform digital experiences through introducing unparalleled levels of intelligence, efficiency, and connectivity. A promising technology poised to enable this revolutionary vision is the wireless large AI model (WLAM), characterized by its exceptional capabilities in data processing, inference, and decision-making. In light of these remarkable capabilities, this paper provides a comprehensive survey of WLAM, elucidating its fundamental principles, diverse applications, critical challenges, and future research opportunities. We begin by introducing the background of WLAM and analyzing the key synergies with wireless networks, emphasizing the mutual benefits. Subsequently, we explore the foundational characteristics of WLAM, delving into their unique relevance in wireless environments. Then, the role of WLAM in optimizing wireless communication systems across various use cases and the reciprocal benefits are systematically investigated. Furthermore, we discuss the integration of WLAM with emerging technologies, highlighting their potential to enable transformative capabilities and breakthroughs in wireless communication. Finally, we thoroughly examine the high-level challenges hindering the practical implementation of WLAM and discuss pivotal future research directions. Copyright © 2025, The Authors. All rights reserved.

关键词： Sorting

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Data-driven based iterative learning control for unknown linear discrete-time system by adaptive system identification 8

Data-driven based iterative learning control for unknown lin...

引用

8th IEEE Data Driven Control and Learning Systems Conference, DDCLS 2019

作者： Zhu, Wenbo Fang, Yong Huang, Lixun Shanghai Institute for Advanced Communication and Data Science Key Laboratory of Specialty Fiber Optics and Optical Access Networks Joint International Research Laboratory of Specialty Fiber Optics and Advanced Communication Shanghai University Shanghai200444 China School of Computer and Communication Engineering Zhengzhou University of Light Industry Zhengzhou450000 China

ISBN: (纸本)9781728114545

This paper considers an iterative learning control (ILC) scheme for unknown linear discrete-time system. ILC updates the system input using error information from previous iteration to sequentially improve the tracking performance. The asymptotic convergence may not be guaranteed when the system model information is uncertain. In this paper, we introduce the adaptive Fourier decomposition (AFD) algorithm to deal with the system identification problem. This adaptive approximation algorithm estimates a system representation using input/output data only. The learning gain of ILC satisfying the convergence condition is obtained according to the estimated system parameters. The effectiveness of system approximation and the tracking performance of ILC based on input/output measurements are verified with simulation results. © 2019 IEEE.

关键词： Approximation algorithms

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Finite-size analysis of continuous variable source-independent quantum random number generation

arXiv

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arXiv 2020年

作者： Zhang, Junyu Zhang, Yichen Zheng, Ziyong Chen, Ziyang Xu, Bingjie Yu, Song State Key Laboratory of Information Photonics and Optical Communications Beijing University of Posts and Telecommunications Beijing100876 China State Key Laboratory of Advanced Optical Communication Systems and Networks School of Electronics Engineering and Computer Science Center for Quantum Information Technology Peking University Beijing100871 China Science and Technology on Security Communication Laboratory Institute of Southwestern Communication Chengdu610041 China

We study the impact of finite-size effect on continuous variable source-independent quantum random number generation. The central-limit theorem and maximum likelihood estimation theorem are used to derive the formula which could output the statistical fluctuations and determine upper bound of parameters of practical quantum random number generation. With these results, we can see the check data length and confidence probability has intense relevance to the final randomness, which can be adjusted according to the demand in implementation. Besides, other key parameters, such as sampling range size and sampling resolution, have also been considered in detail. It is found that the distribution of quantified output related with sampling range size has significant effects on the loss of final randomness due to finite-size effect. The overall results indicate that the finite-size effect should be taken into consideration for implementing the continuous variable source-independent quantum random number generation in practical. Copyright © 2020, The Authors. All rights reserved.

关键词： Random number generation

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Encoding Broad Learning System : An Effective Shallow Model For Anti-fraud

Encoding Broad Learning System : An Effective Shallow Model ...

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IEEE International Conference on Big Data

作者： Rui Zhong Zhen Zhang Rongheng Lin Hua Zou State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications Beijing China Science and Technology on Communication Networks Laboratory National Computer Network Emergency Response Technical Team/Coordination Center of China

ISBN: (数字)9781728162515

ISBN: (纸本)9781728162522

The criminal behavior of telecom fraud is increasing rapidly with the development of the communication industry, causing huge losses every year. The commonly used traditional fraud detection methods are less flexible. Currently, a more accurate and timely method is needed to deal with the evolving fraud. However, with the development of deep learning, more and more complex structures and a large number of parameters lead to the more time-consuming training process and poor interpretability which are unacceptable in the field of anti-fraud. Therefore, this paper proposes a shallow model called Encoding Broad Learning by incorporating the denoising autoencoder into the Broad Learning System (BLS). We use the first 15 seconds of the call content to process the text data of the fraudulent call by constructing TF-IDF, adding Gaussian noise to it, and combining with the denoising autoencoder to learn more general and robust features in the data. Then it is transformed into a neural network based on BLS, and fraudulent calls are identified on this model. This method is extremely suitable for fraud identification systems with few data features and high real-time training requirements. At the same time, in order to further improve the training efficiency and solve the potential memory explosion problem, we propose an integrated learning algorithm for parallel training of EBLS. Experiments and detailed analysis of the above methods are carried out. The results show that compared with the existing classic network algorithms, this method has a faster training speed, can ensure the accuracy and timeliness of online fraud identification, and help quickly identify fraudulent calls. The paper visualized the training results of these algorithms after processing the relevant parameters of EBLS training. These algorithms have strong interpretability and better meet the high security requirements in the field of anti-fraud.

关键词： Training Learning systems Noise reduction Big Data Encoding Telecommunications Security

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Computing in covert domain using data hiding

arXiv

引用

arXiv 2020年

作者： Qian, Zhenxing Wang, Zichi Zhang, Xinpeng Shanghai Institute of Intelligent Electronics and Systems School of Computer Science Fudan University Shanghai201203 China Shanghai Institute for Advanced Communication and Data Science Key laboratory of Specialty Fiber Optics and Optical Access Networks Joint International Research Laboratory of Specialty Fiber Optics and Advanced Communication Shanghai University Shanghai200444 China

This paper proposes an idea of data computing in the covert domain (DCCD). We show that with information hiding some data computing tasks can be executed beneath the covers like images, audios, random data, etc. In the proposed framework, a sender hides his source data into two covers and uploads them onto a server. The server executes computation within the stego and returns the covert computing result to a receiver. With the covert result, the receiver can extract the computing result of the source data. During the process, it is imperceptible for the server and the adversaries to obtain the source data as they are hidden in the cover. The transmission can be done over public channels. Meanwhile, since the computation is realized in the covert domain, the cloud cannot obtain the knowledge of the computing result. Therefore, the proposed idea is useful for cloud computing. Copyright © 2020, The Authors. All rights reserved.

关键词： Steganography

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