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11th EAI International Conference on Wireless and Satellite Systems, WiSATS 2020

作者： Ruan, Cen Zhao, Laiding Zhang, Gengxin Xie, Jidong Key Laboratory of Broadband Wireless Communication and Sensor Network Technology Nanjing University of Posts and Telecommunications Nanjing210003 China "Telecommunication and Network" National Engineering Research Center Nanjing University of Posts and Telecommunications Nanjing210003 China

ISBN: (纸本)9783030690687

Based on the frequency division multiplexing principle of the multi-beam antenna, this paper proposes a new method for locating interference sources by only one single satellite. According to the antenna pattern function expression of multi-beam antennas, the positioning equations are derived and established by analyzing the link that interfering signal arrives at the spaceborne multi-beam antenna from the ground. Importantly, the gain error is introduced in the positioning process when we evaluate the performance of this positioning method. Considering the difficulty of solving nonlinear positioning equations, a new algorithm combining the Particle Swarm Optimization (PSO) and grid search is proposed. At the same time, in this paper, in order to analyze the feasibility of this new algorithm, we introduce the Monte Carlo method in the process of this experiment. Finally, this new algorithm is compared with the traditional Particle Swarm Optimization in terms of speed and accuracy, which shows the superiority of this new algorithm. © 2021, ICST Institute for Computer Sciences, Social Informatics and Telecommunications engineering.

关键词： Monte Carlo methods

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Image Enhancement Algorithm of Foggy Sky with Sky based on Sky Segmentation

Image Enhancement Algorithm of Foggy Sky with Sky based on S...

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2023 Asia-Pacific Conference on Image Processing, Electronics and Computers, IPEC 2023

作者： Sun, Wei Wu, Jianli Rashid, Haroon Wanjiang University of Technology Ma'anshan243031 China Ma'Anshan Engineering Technology Research Center for Wireless Sensor Network and IntelliSense Ma'anshan243031 China The Islamia University of Bahawalpur Punjab Pakistan

In recent years, image defogging has become a research hotspot in the field of digital image processing. Through defogging enhancement processing, the visual quality of foggy images can be significantly improved, and it is also an important part of subsequent image processing. To overcome the limitations of traditional image dehazing, an image enhancement algorithm for foggy image with sky based on sky segmentation is proposed. Firstly, based on K-means clustering and sky feature analysis, sky region recognition is performed for fog image with sky. Secondly, according to the pixels of sky region, the rough transmittance is corrected, and the dehazing image is obtained by dark channel prior image dehazing based on guided filter. Finally, the dehazing image is equalized by bi-histogram equalization. This algorithm effectively avoids the problem of color distortion and halo caused by the traditional dark channel prior dehazing algorithm in the sky area, and makes the restored foggy image have better global and local contrast. © Published under licence by IOP Publishing Ltd.

关键词： Image enhancement

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Co-electrolysis of ethylene glycol and carbon dioxide for formate synthesis

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Science China Chemistry 2024年第5期67卷 1539-1544页

作者： Dongfeng Du Fusong Kang Shiru Yang Bin Shao Jingshan Luo Institute of Photoelectronic Thin Film Devices and Technology State Key Laboratory of Photovoltaic Materials and CellsKey Laboratory of Photoelectronic Thin Film Devices and Technology of TianjinMinistry of Education Engineering Research Center of Thin Film Photoelectronic TechnologyNankai UniversityTianjin 300350China Haihe Laboratory of Sustainable Chemical Transformations Tianjin 300192China Frontiers Science Center for New Organic Matter Nankai UniversityTianjin 300071China College of Electronic Information and Optical Engineering Tianjin Key Laboratory of Optoelectronic Sensor and Sensing Network TechnologyNankai UniversityTianjin 300350China

Co-electrolysis of waste plastics and carbon dioxide(CO_(2)) into value-added chemicals or fuels is a promising pathway for a sustainable society, but efficient and selective conversion remains a challenge. Herein, a gold-mediated nickel hydroxide(Au/Ni(OH)_(2)) is developed to oxidize waste plastic-derived ethylene glycol(EG) into formate. In-situ electrochemical experiments and theoretical results reveal that the introduction of Au favors the redox properties and EG adsorption behavior of Ni(OH)_(2). The Au/Ni(OH)_(2) catalyst shows an excellent formate selectivity of >90% at high current densities of above 100 m A cm^(-2). When coupled with sputtered bismuth(Bi) cathode for CO_(2) reduction, a high formate Faradic efficiency(FE) of 188.2% at 200 m A cm^(-2)and a good formate productivity of 7.33 mmol m^(-2)s^(-1)at 10 A are obtained in a flow cell and a zero-gap membrane electrode assembly(MEA) cell, respectively. This work demonstrates a promising strategy to convert waste plastics and CO_(2) into valuable products.

关键词： waste plastic upcycling ethylene glycol oxidation carbon dioxide reduction electrocatalysis formate synthesis

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Energy Efficiency in Internet of Things:An Overview

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Computers, Materials & Continua 2020年第5期63卷 787-811页

作者： Wuxiong Zhang Weidong Fang Qianqian Zhao Xiaohong Ji Guoqing Jia Key Laboratory of Wireless Sensor Network&Communication Shanghai Institute of Micro-System and Information TechnologyChinese Academy of SciencesShanghai201899China Shanghai Research Center for Wireless Communication Shanghai201210China College of Physics and Electronic Information Engineering Qinghai University for NationalitiesXining810007China

Energy efficiency is very important for the Internet of Things(IoT),especially for front-end sensed terminal or *** not only embodies the node’s life,but also reflects the lifetime of the ***,it is also a key indicator of green ***,there is no article on systematic analysis and review for energy efficiency evaluation in *** this paper,we systemically analyze the architecture of IoT,and point out its energy distribution,Furthermore,we summarized the energy consumption model in IoT,analyzed the pros and cons of improving energy efficiency,presented a state of the art the evaluation metrics of energy ***,we conclude the techniques and methods,and carry out a few open research issues and directions in this field.

关键词： Internet of things wireless sensor network energy efficiency energy consumption model

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Two-person device-free localization system based on ZigBee and transformer

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High technology Letters 2024年第1期30卷 61-67页

作者：刘天蒙 YANG Hai xiao WU Hong School of Electronic Information and Optical Engineering Nankai UniversityTianjin 300350P.R.China Tianjin Key Laboratory of Optoelectronic Sensor and Sensing Network Technology Nankai UniversityTianjin 300350P.R.China Engineering Research Center of Thin Film Optoelectronics Technology Nankai UniversityTianjin 300350P.R.China

Most studies on device-free localization currently focus on single-person *** paper proposes a novel method for device-free localization that utilizes ZigBee received signal strength indication(RSSI)and a Transformer network *** method aims to address the limited research and low accuracy of two-person device-free *** paper first describes the construction of the sensor network used for collecting ZigBee *** then examines the format and features of ZigBee data *** algorithm design of this paper is then *** box plot method is used to identify abnormal data points,and a neural network is used to establish the mapping model between ZigBee RSSI matrix and localization *** neural network includes a Transformer encoder layer as the encoder and a fully connected network as the *** proposed method's classification accuracy was experimentally tested in an online test stage,resulting in an accuracy rate of 98.79%.In conclusion,the proposed two-person localization system is novel and has demonstrated high accuracy.

关键词： device-free localization deep learning ZigBee

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A FEM Model for Interactive Simulation of Guide Wire Navigation in Moving Vascular Structures

A FEM Model for Interactive Simulation of Guide Wire Navigat...

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International Conference on Intelligent System Design and engineering Application (ISDEA)

作者： Zhang Qiukui Pascal Haigron Jiangsu Technology & Engineering Center of Meteorological Sensor Network Nanjing University of Information Science and Technology Nanjing Jiangsu China LTSI University of Rennes 1 Rennes France

In this paper a FEM model is proposed to simulate the guide wire navigation procedure in moving vascular structures. The virtual instruments are discretized with the multi-body representation, while the moving vascular structures are represented by a sequence of binary volumes segmented from the patient's data sets. The corresponding potential fields can be obtained by applying distance transform to the dynamic volumes. The collision and interaction between instruments and the moving vascular structures can be efficiently simulated with the potential fields and the FEM model, which drastically reduce the complexity of computation and makes interactive simulation possible. Comparing with mesh-based methods, the approach is both efficient and robust. Experimental results show the approach significantly improves the performance of simulation, especially in the circumstance of guide wire navigation in moving vessels.

关键词： Wires Instruments Navigation Solid modeling Computational modeling Force Torque

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Application of Composite Hermitian Operator Eigenfunctions on Analysis of RCS

Application of Composite Hermitian Operator Eigenfunctions o...

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IEEE International Workshop on Electromagnetics

作者： You-Bao Wang Xiang Wang Yue-Fei Rao Shun Xiao Jiangsu Key Laboratory of Meteorological Observation and Information Processing Jiangsu Technology & Engineering Center of Meteorological Sensor Network Nanjing University of Information Science & Technology Nanjing China. Post Code: 210044.

ISBN: (纸本)9781467381956

The technique to integrate the composite hermitian operator eigenfunctions (CHOEs) with the general asymptotic waveform evaluation (GAWE) is proposed for computing the radar cross section (RCS) of a perfect electric conductor (PEC). In the analysis, the orthogonal and complete properties of the CHOEs are used to construct the solution space of a matrix equation. Hence, the solution of the equation can be obtained by combining the based-vectors of the solution space with a set of coefficients, which can be determined by the GAWE technique at a given frequency. The results of numerical examples prove that the novel technique is effective in computing RCS.

关键词： GAWE RCS PEC

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Weighted Multi-Modulus Blind Equalization Algorithm Based on Momentum Term

Weighted Multi-Modulus Blind Equalization Algorithm Based on...

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2011 International Conference on Mechanical engineering and technology(ICMET 2011)

作者： Shijie Guo Fang Xu Wencai Xu Kang Fan College of Physics and Electronic Information Huaibei Normal University Nanjing University of Information Science & Technology Jiangsu Technology and Engineering Center of Meteorological Sensor NetworkJiangsu Key Laboratory of Meteorological Observation and Information Processing

In order to overcome the defects of traditional constant modulus blind equalization algorithm in equalizing higher-order QAM(Quadrature Amplitude Modulation) signals, on the basis of combining the momentum term algorithm and the weighted multi-modulus blind equalization algorithm, Momentum term based Weighted Multi-Modulus blind equalization Algorithm(WMMA) is proposed. In the proposed algorithm, weighted multi-modulus blind equalization algorithm is used to adjust the modulus of the cost function adaptively and momentum term is employed to improve the convergence speed. The simulation results in the underwater acoustic channel show that the proposed algorithm has higher convergence speed and accuracy than Multi-Modulus blind equalization Algorithm(MMA) and Constant Modulus blind equalization Algorithm(CMA).

关键词： blind equalization algorithm,weighted multi-modulus algorithm,momentum term

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Auditing Protocols for Cloud Storage: A Survey

Auditing Protocols for Cloud Storage: A Survey

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International Conference on Computational Intelligence Theory, Systems and Applications (CCITSA)

作者： Jun Shen Sai Ji Jian Shen Zhangjie Fu Jin Wang School of Computer & Software Nanjing University of Information Science & Technology China Jiangsu Technology &Engineering Center of Meteorological Sensor Network Naniing University of Information Science & Technologgy China

So far, cloud storage has been accepted by an increasing number of people, which is not a fresh notion any more. It brings cloud users a lot of conveniences, such as the relief of local storage and location independent access. Nevertheless, the correctness and completeness as well as the privacy of outsourced data are what worry could users. As a result, most people are unwilling to store data in the cloud, in case that the sensitive information concerning something important is disclosed. Only when people feel worry-free, can they accept cloud storage more easily. Certainly, many experts have taken this problem into consideration, and tried to solve it. In this paper, we survey the solutions to the problems concerning auditing in cloud computing and give a comparison of them. The methods and performances as well as the pros and cons are discussed for the state-of-the-art auditing protocols.

关键词： Cloud computing Protocols Data models Computational modeling Security Information science Scalability

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Design of Intelligent Clothes Hanger System Based on Rainfall Data Analysis

Design of Intelligent Clothes Hanger System Based on Rainfal...

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作者： Binbin Tao Jing Zhang Xusheng Hu Jingmei Wu Maanshan Engineering Technology Research Center for Wireless Sensor Network and IntelliSense Wanjiang Institute of Technology

Rainfall plays a vital role in guiding clothes drying. This paper proposes an intelligent clothes hanger system based on the analysis of rainfall data. The system consists of an electric mechanism, weather monitoring module,wireless communication module, central control module, network server, and user APP. The weather data monitored by the local weather monitoring module is uploaded to the network server in real-time, users can monitor and control the clothes hanger through the APP. Besides, the web server constructs a twodimensional rainfall map based on the weather data provided by the clothes hangers in different geographic locations. Using the weight matrix to perform convolution operation on the rainfall map, the weighted average of the rainfall conditions at any point and its surrounding points is realized. The result is used as the rainfall risk prediction of the area corresponding to this point, used to guide drying. Finally, the feasibility of the algorithm is verified by Labview simulation.

关键词： Clothes drying Rainfall data analysis Weighted average Rainfall prediction Labview simulation

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