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IEEE Asia-Pacific Conference on Antennas and Propagation (APCAP)

作者： Zhihao Wu Fuzhen Xie Yongjun Huang Liang Ma Wenran Lv Jian Li Guangjun Wen Haobin Zhang Le Zuo School of Information and Communication Engineering University of Electronic Science and Technology of China Chengdu China Science and Technology on Electronic Information Control Laboratory Chengdu China

In this paper, the mechanical displacement and the resulting resonance shift of the nonlinear metamaterial unit (meta-atom), due to the induced electromagnetic attraction force within the meta-atom which is placed in the liquid-phase environment filled with polydimethylsiloxane (PDMS), is experimentally demonstrated with enhancement of incident electromagnetic field intensity.

关键词： Resonant frequency Magnetic liquids Metamaterials Force Frequency measurement

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Miniaturized Broadband CPW-Fed Folded-Slot Antenna for Wireless-LAN and Wi-MAX Bandwidths

Miniaturized Broadband CPW-Fed Folded-Slot Antenna for Wirel...

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IEEE Asia-Pacific Conference on Antennas and Propagation (APCAP)

作者： Yongjun Huang Xiaochuan Fang Daniele Inserra Jian Li Guangjun Wen Haobin Zhang Le Zuo School of Information and Communication Engineering University of Electronic Science and Technology of China Chengdu China Science and Technology on Electronic Information Control Laboratory Chengdu China

A miniaturized wideband CPW-fed V-shape patch with a folded surrounding slot structure is discussed in this work. The presented antenna, fabricated on a 30 × 20 × 1.6 mm 3 FR4 dielectric, exhibits a measured S 11 ≤-10 dB bandwidth from 2.39 GHz to 3.56 GHz; within this bandwidth, a gain larger than 0.6 dBi is found. Compactness and wideband characteristics yield this antenna a valid choice for Wireless LAN 2.4-2.7 GHz and Wi-MAX 2.5/3.5 GHz.

关键词： Broadband antennas Bandwidth Gain Slot antennas Antenna measurements Gain measurement

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Dynamic Analysis of Split Resonant Rings Suspended in the Liquid Media

Dynamic Analysis of Split Resonant Rings Suspended in the Li...

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IEEE Asia-Pacific Conference on Antennas and Propagation (APCAP)

作者： Liang Ma Yongjun Huang Zhihao Wu Guangjun Wen Jian Li Wenran Lv Fuzhen Xie Haobin Zhang Le Zuo School of Information and Communication Engineering University of Electronic Science and Technology of China Chengdu China Science and Technology on Electronic Information Control Laboratory Chengdu China

In this paper, the dynamic process of Split Resonant Rings (SRRs) muminated by electromagnetic wave with different intensities in liquid media is experimentally demonstrated for the first time, and the intrinsic energ... 详细信息

关键词： Metamaterials Force Electromagnetic scattering Dynamics Gold Electromagnetics Magnetic fields

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Optimization of Circularly Polarized Corner Truncated Patch with Matlab Antenna Toolbox

Optimization of Circularly Polarized Corner Truncated Patch ...

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IEEE Asia-Pacific Conference on Antennas and Propagation (APCAP)

作者： Daniele Inserra Yongjun Huang Guangjun Wen Haobin Zhang Le Zuo School of Information and Communication Engineering University of Electronic Science and Technology of China Chengdu China Science and Technology on Electronic Information Control Laboratory Chengdu China

In this paper a new approach for the optimization of a double truncated corner microstrip square patch antenna is proposed by exploiting method-of-moments (MoM) calculator of Matlab Antenna Toolbox. A problem solution is iteratively updated according to the optimization criteria, i.e., find the minimum axial ratio (AR) at the target frequency within the impedance bandwidth S11≤-10 dB. An update mechanism for the optimization variable domains is implemented to refine the solution step-by-step. In the proposed example it is found that this approach converges to a feasible solution in few steps (less than an hour).

关键词： Optimization Microstrip antennas Microstrip Matlab Electromagnetics Patch antennas

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GA based Q-attack on community detection

arXiv

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arXiv 2018年

作者： Chen, Jinyin Chen, Lihong Chen, Yixian Zhao, Minghao Yu, Shanqing Xuan, Qi Yang, Xiaoniu Institute of Cyberspace Security College of Information Engineering Zhejiang University of Technology Hangzhou310023 China Zhejiang Lab Hangzhou311121 China Institute of Cyberspace Security Zhejiang University of Technology Hangzhou310023 China Science and Technology on Communication Information Security Control Laboratory Jiaxing314033 China

Community detection plays an important role in social networks, since it can help to naturally divide the network into smaller parts so as to simplify network analysis. However, on the other hand, it arises the concern that individual information may be over-mined, and the concept community deception has been proposed to protect individual privacy on social networks. Here, we introduce and formalize the problem of community detection attack and develop efficient strategies to attack community detection algorithms by rewiring a small number of connections, leading to privacy protection. In particular, we first give two heuristic attack strategies, i.e., Community Detection Attack (CDA) and Degree Based Attack (DBA), as baselines, utilizing the information of detected community structure and node degree, respectively. And then we propose an attack strategy called "Genetic Algorithm (GA) based Q-Attack", where the modularity Q is used to design the fitness function. We launch community detection attack based on the above three strategies against six community detection algorithms on several social networks. By comparison, our Q-Attack method achieves much better attack effects than CDA and DBA, in terms of the larger reduction of both modularity Q and Normalized Mutual information (NMI). Besides, we further take transferability tests and find that adversarial networks obtained by Q-Attack on a specific community detection algorithm also show considerable attack effects while generalized to other algorithms. Copyright © 2018, The Authors. All rights reserved.

关键词： Genetic algorithms

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Network Traffic Outlier Detection Based on Full Convolutional Network

Network Traffic Outlier Detection Based on Full Convolutiona...

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International Conference on Computational Intelligence and security

作者： Jingrong Mo Yong Wang Miao Ye School of Computer Science and Information Security Guilin University of Electronic Technology Guilin Guangxi China Guangxi Cooperative Innovation Center of Cloud Computing and Big Data Guilin University of Electronic Technology Guilin Guangxi China Guangxi Colleges and Universities Key Laboratory of Cloud Computing and Complex Systems Guilin University of Electronic Technology Guilin Guangxi China School of Information and Communication Guilin University of Electronic Technology Guilin Guangxi China

ISBN: (数字)9781728160924

ISBN: (纸本)9781728160931

Network traffic flow can be represented as time series. Outliers of these time series is important for the computer network security. The existing methods for the time series anomaly detection mainly operate on the entire time series to detect the abnormal series, seldom find out the position of the abnormal point. To solve this defect, we propose a method to discover the location of the outliers in time series based on a full convolutional network. We first map the time series into two-dimensional grayscale images by sliding window approach, and then feed them into the full convolutional network. In the classified stage, the feature maps of the last convolution layer are restored to the same size as the input image by up-sampling. Finally, we predict the class for each pixel and calculate the loss on a pixel-by-pixel basis. We tested the model on Yahoo Webscope S5 anomaly benchmark dataset, and the results show that our proposed method can achieve a mean pixel accuracy of 99.4% and mean IOU of 97% on the test dataset.

关键词： Time series analysis Telecommunication traffic Anomaly detection Convolution Feature extraction Gray-scale Machine learning

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New quaternary sequences of even length with optimal auto-correlation

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science China(information sciences) 2018年第2期61卷 125-137页

作者： Wei SU Yang YANG Zhengchun ZHOU Xiaohu TANG School of Economics and Information Engineering Southwestern University of Finance and Economics Science and Technology on Communication Security Laboratory School of Mathematics Southwest Jiaotong University Provincial Key Lab of Information Coding and Transmission Institute of Mobile CommunicationsSouthwest Jiaotong University

Sequences with low auto-correlation property have been applied in code-division multiple access communication systems, radar and cryptography. Using the inverse Gray mapping, a quaternary sequence of even length N can be obtained from two binary sequences of the same length, which are called component sequences. In this paper, using interleaving method, we present several classes of component sequences from twin-prime sequences pairs or GMW sequences pairs given by Tang and Ding in 2010; or two, three or four binary sequences defined by cyclotomic classes of order 4. Hence we can obtain new classes of quaternary sequences, which are different from known ones, since known component sequences are constructed from a pair of binary sequences with optimal auto-correlation or Sidel'nikov sequences.

关键词： binary sequences quaternary sequences Gray mapping interleaving cyclotomy

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Impact of cyber risk on the safety of the MilliAmpere2 Autonomous Passenger Ship

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IOP Conference Series: Materials science and Engineering 2020年第1期929卷

作者： Ahmed Amro Georgios Kavallieratos Konstantinos Louzis Christoph A. Thieme Department of Information Security and Communication Technology (IIK) University of Science and Technology (NTNU) Gjøvik Norway Laboratory for Maritime Transport School of Naval Architecture and Marine Engineering National Technical University of Athens Greece Department of Marine Technology (IMT) NTNU Trondheim Norway

The digitalization of the maritime sector is continuously growing, leading to increased automation, such as, the development of autonomous vessels. The Autonomous Passenger Ship (APS) is a characteristic instantiation of this development, aiming to transport people on urban waterways. Although emerging technologies deployed in such APS aim to facilitate the functions and operations of the navigation and communication systems, various safety and security risks are inherent to the communication infrastructure due to their interconnectivity. The aim of this work is to study the safety and cyber security of the communication system of an APS, namely the MilliAmpere2 APS. The six step model (SSM) is utilized to facilitate the joint analysis. The application of the SSM enables, among others, the capturing of relationships between cyber attacks and component failures, the assessment of safety and cyber security countermeasures, as well as, the synergies between them. It has been found that most countermeasures in both categories are reinforcing or are conditionally dependent on each other, while few antagonize each another. These findings will allow for improved design and implementation of integrated safety and security management solutions.

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A Check-In System Leveraging Face Recognition

A Check-In System Leveraging Face Recognition

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IEEE/ACM Int'l Conference on & Int'l Conference on Cyber, Physical and Social Computing (CPSCom) Green Computing and communications (GreenCom)

作者： Qi Liu Hong Li Yan Hu Limin Sun School of Computer and Communication Engineering University of Science and Technology Beijing Beijing Key Laboratory of IOT Information Security Technology CAS China

With the development of society, Face Recognition technology has become one of the hottest topics, and is widely used. In this paper, we design and develop a face recognition system that can be used as a check-in system. Traditional check-in systems have several disadvantages including inefficiency and being difficult to analyse statistics. Thus, in order to solve these problems, we propose a new way of check-in: an identification system based on face recognition. Our system includes three main processes. Firstly, the image of each individual is captured via computer cameras. Secondly, after image preprocessing, feature information is extracted from the images through an efficient face recognition algorithm based on Principle Component Analysis. Thirdly, a database including the basic information of participants is created, and each image is associated with corresponding information in the database. After system development, comprehensive experiments are performed to examine the identification accuracy of the system.

关键词： Face Face recognition Databases Feature extraction Mathematical model Euclidean distance Eigenvalues and eigenfunctions

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A Multitask Cascaded Convolutional Neural Network based on Full Frame Histogram Equalization for Vehicle Detection

A Multitask Cascaded Convolutional Neural Network based on F...

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Chinese Automation Congress

作者： Hua Gong Yong Zhang Ke Xu Fang Liu College of Science Shengyang Ligong University Shenyang China Science and Technology on Electro-Optical Information Security Control Laboratory Tianjing China

In order to improve the accuracy of vehicle detection, a Multitask Cascaded Convolutional Neural Network (MC-CNN) based on Full Frame Histogram Equalization (FFHE) algorithm is proposed. FFHE is used to enhance the image, which can solve the problem of unclear image, low contrast, low overall gray value and uneven illumination when the imaging condition is not ideal. MC-CNN locates and classifies the object in the image. The algorithm first performs FFHE operation on the test datasets. Then the region image containing a single vehicle is obtained by the object location algorithm based on Faster R-CNN. Next, the six classification (bus, microbus, minivan, sedan, SUV, and truck) results of each vehicle are obtained through the object classification algorithm based on CNN. To verify the performance of the algorithm, MC-CNN was trained on BIT-Vehicle and tested on SYIT2018-Vehicle. Compared with Faster R-CNN, the average classification accuracy of our algorithm was improved by 11.5% on SYIT2018-Vehicle dataset.

关键词： Vehicle detection MC-CNN Full frame histogram equalization

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