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International Symposium on Computational Intelligence and Design, ISCID

作者： Jie-Tai Wang Xiao-Niu Yang Zhen-Xing Luo Mathematics Physics and Information Engineering College Jiaxing University Jiaxing China Science and Technology on Communication Information Security Control Laboratory 36 Research Institute of CETC Jiaxing China

This paper proposes a ranging-based positioning method independent of environmental factors and compensation coefficients. This method uses the normalized RSSI and distance model to shield the influence of parameters A and n, and then compare the normalized algorithm with the fingerprint algorithm and Min-Max algorithm, the result proves the effectiveness and advancement of the proposed algorithm.

关键词： Computational intelligence

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A Real-Time Detection System for Non-Cooperative Underwater Acoustic DSSS Signals Based on LabVIEW

A Real-Time Detection System for Non-Cooperative Underwater ...

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IEEE Advanced information Management,Communicates,Electronic and Automation control Conference (IMCEC)

作者： Lu Ma Cheng Fan Wei Sun Gang Qiao Science and Technology on Communication Information Security Control Laboratory Jiaxing Zhejiang China College of Underwater Acoustic Engineering Harbin Engineering University Harbin China

Because of the good concealment, the application of DSSS signals are more and more attractive in underwater acoustic (UWA) communication. While for UWA communication countermeasure system, blind detection of non-cooperative UWA DSSS signals is the first and essential step. A software for non-cooperative UWA DSSS signals detection is developed based on LabVIEW, which integrates power spectrum method, cepstrum method, autocorrelation method and corresponding improved methods. With the help of acquisition card and acoustic transducer, many functions can be implemented such as real-time acquisition and storage, detection processing and the results display for the received signals. What's more, different detection methods can be independently or jointly used by arbitrarily adjusting the display and control interface in real time.

关键词： Spread spectrum communication Cepstrum Correlation Data acquisition Software Signal processing Real-time systems

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A Dynamic Time Warping Based Wake-Up Signal Detection Method for Underwater Acoustic Communication Networks

A Dynamic Time Warping Based Wake-Up Signal Detection Method...

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IEEE Advanced information Management,Communicates,Electronic and Automation control Conference (IMCEC)

The conventional underwater acoustic (UWA) wakeup signals detection methods for both underwater cooperative nodes and non-cooperative nodes are FFT based signal detection and matched-filtered based signal detection. While there is a big performance degradation of these conventional frequency-offset sensitive methods due to the relative motion between nodes, complex underwater noise environment, channel time-varying and other interference sources. This paper proposes a dynamic time warping (DTW) algorithm to detect the wake-up signal in UWA communication networks, which is frequency-offset insensitive and performs better than the conventional methods in severe frequency-offset environment by simulations based on the true UWA channel measured from sea trial.

关键词： Signal detection Time-frequency analysis Heuristic algorithms Signal to noise ratio Underwater acoustics Power demand

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Optical Image Encryption Based on Mixed Chaotic Maps and Single-Shot Digital Holography

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Transactions of Tianjin University 2017年第2期23卷 184-191页

作者： Yonggang Su Chen Tang Xia Chen Biyuan Li Wenjun Xu Zhenkun Lei School of Electrical and Information Engineering Tianjin University Tianjin 300072 China Science and Technology on Electro-Optical Information Security Control Laboratory Tianjin 300308 China State Key Laboratory of Structural Analysis for Industrial Equipment Dalian University of Technology Dalian 116024China

Random phase masks play a key role in optical image encryption schemes based on double random phase technique. In this paper, a mixed chaotic method is proposed, which can efficiently solve some weaknesses that one-dimensional (1-D) single chaotic maps encounter to generate random phase masks. Based on the chaotic random phase masks, optical image encryption and decryption are realized with a single-shot digital holographic technique. In the proposed encryption scheme, the initial value and parameters of mixed chaotic maps serve as secret keys, which is convenient for the key management and transmission. Moreover, it also possesses high resistance against statistical attack, brute-force attack, noise attack and shear attack. Simulation results and security analysis verify the validity and security of the proposed encryption scheme. © 2017, Tianjin University and Springer-Verlag Berlin Heidelberg.

关键词： Chaotic systems Geometrical optics Holography Image processing Lyapunov methods Optical data processing

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A Analysis of Attack and Defense Mobile Ad Hoc Network Based on OPNET

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IOP Conference Series: Materials science and Engineering 2019年第1期611卷

作者： Jiahao Dai Xiaofeng Xu Science and Technology on Communication Information Security Control Laboratory China Electronic Group Corporation No.36 Institute Zhejiang Jiaxing China

Due to the broadcast nature of wireless communications, the damage to mobile ad hoc networks is becoming more and more common. We propose a network stability model that can effectively reflect the network performance when the network is damaged in real time. The Ad Hoc network model is built by using the node model supporting the IEEE802.11 standard provided by OPNET software to simulate the network performance of the network under different degrees of damage. This model provides an effective way for the simulation analysis of network performance under the condition of Ad Hoc network damage.

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Gas sensor fault diagnosis based on Convolutional Neural Network

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IOP Conference Series: Materials science and Engineering 2020年第6期768卷

作者： Yongyi Sun Yangyang Liu Fang Ji Gang Li Yanjun Ma Jin Li Lixin Yang Hongquan Zhang Key Laboratory of Electronics Engineering College of Heilongjiang Province Heilongjiang University Harbin China Department of Public security information Liaoning Police Collage Dalian China School of Information Technology Guangxi Police College Nanning China. School of electrical and control engineering Heilongjiang University of Science &Technology Harbin China School of Automation Harbin Engineering University Harbin China

Gas sensor often fails due to the influence of temperature, humidity, lighting, dust and toxic gases, and causes unreliable phenomena. Therefore, the fault diagnosis of gas sensors is considered as a weak link. Feature extraction and classification play an important role in gas sensor fault diagnosis. However, there are many problems in traditional feature extraction methods. For example, 1) requirements for expert experience, 2) sensitivity of changes in mechanical systems, 3) limitations of new feature extraction. Therefore, it is meaningful and attractive to develop a method that can discover and learn fault-sensitive features of gas sensors from the original data and classify them effectively according to the sensitive features. Convolutional neural network(CNN) has been widely applied in image analysis and voice recording, and has achieved great success. However, gas sensor fault diagnosis is rarely applied. This paper focuses on using CNN to learn fault features from data, extract features automatically, and then classify them effectively. Experiments show that the CNN method provides a effective solution for gas sensor fault diagnosis.

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Fog-assisted multi-user swipt networks: Local computing or offloading

arXiv

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arXiv 2019年

作者： Zheng, Haina Xiong, Ke Fan, Pingyi Zhong, Zhangdui Letaief, Khaled Ben School of Computer and Information Technology Beijing Key Lab of Traffic Data Analysis and Mining Beijing Jiaotong University Beijing China Beijing Key Laboratory of Security and Privacy in Intelligent Transportation Beijing Jiaotong University Beijing100044 China National Laboratory for Information Science and Technology Department of Electronic Engineering Tsinghua University Beijing100084 China State Key Lab of Rail Traffic Control and Safety Beijing Engineering Research Center of High-speed Railway Broadband Mobile Communications Beijing Jiaotong University Beijing100044 China Clear Water Bay Hong Kong

This paper investigates a fog computing-assisted multi-user simultaneous wireless information and power transfer (SWIPT) network, where multiple sensors with power splitting (PS) receiver architectures receive information and harvest energy from a hybrid access point (HAP), and then process the received data by using local computing mode or fog offloading mode. For such a system, an optimization problem is formulated to minimize the sensors' required energy while guaranteeing their required information transmissions and processing rates by jointly optimizing the multi-user scheduling, the time assignment, the sensors' transmit powers and the PS ratios. Since the problem is a mixed integer programming (MIP) problem and cannot be solved with existing solution methods, we solve it by applying problem decomposition, variable substitutions and theoretical analysis. For a scheduled sensor, the closed-form and semi-closedform solutions to achieve its minimal required energy are derived, and then an efficient multi-user scheduling scheme is presented, which can achieve the suboptimal user scheduling with low computational complexity. Numerical results demonstrate our obtained theoretical results, which show that for each sensor, when it is located close to the HAP or the fog server (FS), the fog offloading mode is the better choice;otherwise, the local computing mode should be selected. The system performances in a frame-by-frame manner are also simulated, which show that using the energy stored in the batteries and that harvested from the signals transmitted by previous scheduled sensors can further decrease the total required energy of the sensors. Copyright © 2019, The Authors. All rights reserved.

关键词： Energy harvesting

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Time domain acoustic scattering from locally perturbed flat substrates 1st

Time domain acoustic scattering from locally perturbed flat ...

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1st International Conference on Smart Vehicular technology, Transportation, Communication and Applications, VTCA 2017

作者： Chen, Bo Zhang, Fuquan Xu, Lin Liu, Minghui College of Science Civil Aviation University of China Tianjin China Fujian Provincial Key Laboratory of Information Processing and Intelligent Control Minjiang University Fuzhou China School of Software Beijing Institute of Technology Beijing China Innovative Information Industry Research Institute Fujian Normal University Fuzhou China School of Criminal Investigation and Counter Terrorism People’s Public Security University of China Beijing China

ISBN: (纸本)9783319707297

This paper is concerned with the analysis of the time domain acoustic scattering from locally perturbed flat substrates. For this three dimensional scattering problem with unbounded scatterer, boundary integral equation is directly established on the boundary of the unbounded scatterer without application of the symmetric continuation. The well-posedness of the time domain boundary integral equation is proved. © Springer International Publishing AG 2018.

关键词： Boundary integral equations

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Packets Distributing Evolutionary Algorithm Based on PSO for Ad Hoc Network

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IOP Conference Series: Materials science and Engineering 2018年第6期322卷

作者： Xiao-Feng Xu Science and Technology on Communication Information Security Control Laboratory Jiaxing China

Wireless communication network has such features as limited bandwidth, changeful channel and dynamic topology, etc. Ad hoc network has lots of difficulties in accessing control, bandwidth distribution, resource assign and congestion control. Therefore, a wireless packets distributing Evolutionary algorithm based on PSO (DPSO)for Ad Hoc Network is proposed. Firstly, parameters impact on performance of network are analyzed and researched to obtain network performance effective function. Secondly, the improved PSO Evolutionary Algorithm is used to solve the optimization problem from local to global in the process of network packets distributing. The simulation results show that the algorithm can ensure fairness and timeliness of network transmission, as well as improve ad hoc network resource integrated utilization efficiency.

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Publisher Correction: Mitigation potential of global ammonia emissions and related health impacts in the trade network

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Nature communications 2021年第1期12卷 7084页

作者： Rong Ma Ke Li Yixin Guo Bo Zhang Xueli Zhao Soeren Linder ChengHe Guan Guoqian Chen Yujie Gan Jing Meng School of Economics and Management Beihang University Beijing China. Harvard-NUIST Joint Laboratory for Air Quality and Climate Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control Collaborative Innovation Center of Atmospheric Environment and Equipment Technology School of Environmental Science and Engineering Nanjing University of Information Science and Technology Nanjing China. John A. Paulson School of Engineering and Applied Sciences Harvard University Cambridge MA USA. Princeton School of Public and International Affairs Princeton University Princeton NJ USA. Laboratory for Climate and Ocean-Atmosphere Studies Department of Atmospheric and Oceanic Sciences School of Physics Peking University Beijing China. School of Management China University of Mining and Technology (Beijing) Beijing China. zhangbo@***. School of Management China University of Mining and Technology (Beijing) Beijing China. Joint Research Centre Food Security Group European Commissions Ispra Italy. Arts and Science New York University Shanghai Shanghai China. Laboratory of Systems Ecology and Sustainability Science College of Engineering Peking University Beijing China. School of Government The Leo KoGuan Building Peking University 100871 Beijing China. The Bartlett School of Sustainable Construction University of College London London WC1E 7HB UK. jing.j.meng@ucl.ac.uk.

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