bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Game-based Method for User Privacy Protection in Big Data
Authors: Li Xiaohui , Chen Chaoyang , Liu Feng , Li Bo , Wang Yajun 
Published: January 2020

Abstract
In order to protect the user privacy in the big data environment, We propose a security method based on game theory through trust management mechanism. The main contribution of this paper include:(1)analysis service game relationship in the big data environment, (2)combine trust evaluation with decision management, and apply game theory to design a user-centric scheme to protect privacy,(3)proposing a service selection method. By using game theory to restrict the service interaction between the users and services in big data, we introduce some factors corresponding game model. we then apply the trust evaluation and decision management to describe the relationship and trust quantify in which we propose a method for service selection to implement user privacy protection. Simulation results show that the proposed method is effective and can apply the dynamic game of incomplete information relationship between user and service to make decisions on the service selection, thus providing customized privacy protection.
Investigation and Thinking on the Information Construction of South China University of Technology
Authors: Fang Fang , Luo Xing E 
Published: January 2020

Abstract
In order to better understand and improve the information construction of our university, further strengthen the network security and informationization work, and improve the quality of service, the network center conducted investigation on information construction and satisfaction of the university. Based on the statistics of the survey results and other related data support, we try to investigate and research the status quo of information construction in the university, explore the application of information technology in the whole university teaching, research, management and campus life, and analyse its practical application effects. Finally, it will provide reference and direction for the future work of the network center.
Alarm Filtering Method of Power Communication Network Based on Correlation Set
Authors: Yan Shengchao , Li Lei 
Published: January 2020

Abstract
In order to find out the root from a large number of alarms of alarm events, we did a good study on the alarm’s characters of power communication network equipments, through which we found the alarm relevance sets. On this basis, we present a relevance-set based alarm filtering approach, which make the unnecessary and none-root alarms filtered much more quickly.
The Dynamic Trend and Hotspot in the Clothing Field in China in Recent Five Years——Based on the Visualization of CNKI Mapping Knowledge Domain
Authors: Zhu Shuchang , Wang Kai 
Published: January 2020

Abstract
This paper took the recent literature in the field of clothology in China as the object to reveal new researching characteristics and to provide references for relevant industrial development. Based on the mapping knowledge domain, this paper adopts literature research method to analyze the sample literature by co-word analysis and so on. Studies show that, research in the field has drawn tremendous attention and exhibit a steady development. The related researches, meanwhile, are concentrated in three field of textile industry, industrial economy and fine arts. The hot spots could be summarized in three aspects: fashion design, apparel culture and fashion brand. Innovations: basically the relevant researches in this field used the foreign specialized software such as CiteSpace, which relatively more difficult. In this paper we provide a new research approach - a visual analysis embedded in CNKI. It combines the multiple functions of specialized software. Especially its” co-occurrence matrix analysis” and “keywords co-occurrence network” cluster analysis, make ordinary customers could grasp them.
Timing Modeling Technology of DICE SRAM Based on SiliconSmart
Authors: Yang Wu , Li Yujing , Tao Yi 
Published: January 2020

Abstract
The rapid development of aerospace industry and semiconductor technology has put forward higher requirements for the radiation hardening of microelectronic devices. At the same time, with more and more applications of SRAM in SOC circuits, the anti-single event reversal effect ability of SRAM is more and more important. In this paper, the DICE structure is used to design SRAM to resist single event reversal effect. The simulation and test results show that the SRAM can resist single event reversal. In order to make SRAM with DICE structure be used in the digital design flow of SOC, this paper uses SiliconSmart to create timing model and successfully applies it to the design flow in the SOC project.
Design of Fast Detection and Tracking System Based on FPGA
Authors: Tian Feng , Wang Lei , Xiong Yan 
Published: January 2020

Abstract
Aiming at the problem that the classical Sobel edge detection algorithm is sensitive to noise and has a large amount of computation, an adaptive fast edge detection algorithm is proposed. Firstly, some background information which we are not interested in is removed through adaptive window to reduce the computational complexity. Then, Sobel operator is used to detect the real-time edge of the image in the window, and then morphological optimization is carried out. The fast detection algorithm in this paper is implemented on the FPGA. The results show that this method can effectively detect image edges and make the image edges clearer. At the same time, it can greatly reduce the noise and computational load in the image and reduce the power consumption.
Application Design of the Iris Recognition Technology in the Access Control Management System
Authors: Yu Lijun , Li Kefeng , Zheng Jian 
Published: January 2020

Abstract
This design is a method of implementing the iris-recognition-based access control management system, including the identity collection device, database server, infrared range finder, iris recognition device, and access controller. The identity collection device collects the target personnel’s identity signals on site and outputs iris information. When a target person attempts to enter a door, the infrared range finder needs to work with the identity collection device to start the iris recognition device. The identity collection device will promptly and accurately collect the iris information, and then send the extracted iris information to the database server. The database server compares the received iris information with that previously stored in the database and quickly determines whether the iris information is legal based on the comparison results. If it is legal, the access controller sends a signal to the electric control lock to open the door and the person can enter the door. Otherwise, the person cannot enter the door. This design integrates the infrared sensing technology, human-computer interaction technology, data transmission technology, and communication technology. It utilizes the iris recognition algorithm in the iris recognition technology to improve the precision of recognition. Therefore, this design can efficiently identify and authenticate personal identity. In addition, this design features high reliability, low cost, small volume, complete functionality, and strong scalability on information collection.
Design of Power Life-Span Testing System for Mobile Phone Loudspeaker
Authors: Gao Zili , Huang Yongmei 
Published: January 2020

Abstract
In order to obtain the power life-span of mobile phone loudspeaker, a mobile phone loudspeaker test system was designed. The C8051 was taken as the main control core.The sinusoidal signal which was provided by AD9833 signal generating module was amplified by power amplifier module for power life-span test of mobile phone loudspeaker. At the same time, the feedback voltage signals of the system were collected by AD7366. The test software was designed to realize the real-time monitoring and analysis of the power life-span test process of the mobile phone loudspeaker. After many tests, the results manifest that the system runs stably and reliably, and the measurements of each channel are accurate.
Urban Subway Vehicle Dynamic Modelling and Simulation
Authors: Cui Xing , Zou Runnan , Gu Min , Zou Yuan 
Published: January 2020

Abstract
With the continuous development of urban rail transit, urban rail transit project needs to be analysed under different factors. Accurately and quickly calculate the rain real-time operating results could support the research, planning, construction and operation of urban rail transit. This paper used Matlab/Simulink programming language to develop the transit dynamics model and UI design.
Test Results for 5G Indoor Pico Base Station
Authors: Liu Haitao , Liu Yang 
Published: January 2020

Abstract
The fifth generation (5G) New Radio (NR) has attracted a large amount of interest with its improvement of user experience and capacity. But the anticipated use of the new technology brings serious challenges to existing solutions for its high spectrum and large bandwidth. Among them, indoor coverage is an important issue before commercial deployment. However, there are few evaluation targeting the pico base station. A new distributed antenna system (DAS) solution towards 5G indoor coverage is introduced. In this paper, the new indoor picocell with different RF configuration is introduced to build more flexible, efficient and evolving network. Besides, A series of trials are carried out to verify the RF performance of two types of radio frequency units (RRU).
A QoE-Oriented Network Selection Mechanism in Heterogeneous Wireless Networks
Authors: He Chao , Xie Zhidong , Tian Chang 
Published: January 2020

Abstract
In order to guarantee the UAV video uplink in heterogeneous networks, a novel access network selection mechanism was proposed in this paper. Due to the unknown Channel State Information(CSI), the issue was first modeled as the Multi-Armed Bandit (MAB) problem. Then, the reward function was built and the Quality of Experience (QoE) of video was considered. By means of three typical solving algorithms, decisions could be made between utilization and exploration. The simulation results show that the mechanism can effectively solve the network selection problem of video transmission in heterogeneous networks.
Performance Analysis of Opportunistic Relay Selection Cooperative Communication in Cascaded Fading Channels
Authors: Wang Mingwei 
Published: January 2020

Abstract
Cooperative communication enables users to transmit information in a cooperative way, which is one of the key technologies used in wireless communication systems to improve spectral efficiency. A cascade Nakagami-m fading function is proposed to describe the fading characteristics of complex wireless channels, and a communication model of decoding-and-forward opportunistic relay selection (DF-ORS) cooperative communication under total power constraints is established. Theoretical analysis and simulation results show that DF-ORS cooperative communication can effectively reduce outage probability and improve spectrum efficiency under total power constraints and complex cascade Nakagami-m fading channels. The transmission power allocation of source node and relay node has an important impact on communication performance. Equal power allocation scheme cannot guarantee the optimal system performance, and the obtained conclusions have more general applicability.
The Gas Detection Application of Deep Well Production Based on Wireless Sensor Network
Authors: Guo Lejiang , Chen Fangxin , Xiao Lei , Hu Yahui 
Published: January 2020

Abstract
Based on wireless sensor network, a system-level solution of wireless sensor network for oil well safety information collection is constructed, including hardware and software design of data acquisition, data transmission and data analysis and processing. The system has the characteristics of low cost, wide range and flexible layout, which solves the problems of cable networking, such as wiring, location and slow troubleshooting problem. The experiment shows that the system meets the actual requirement and runs stability.
ELF Chirp Communication based on Modulated Heating Low Ionosphere
Authors: Zhou Kaijie , Wang Huali , Cao Peipei 
Published: January 2020

Abstract
ELF can be generated by HF heating the low ionosphere for submarine communication. QPSK has been used on ELF carried generated via modulated ionosphere heating to transmit digital data. However, ELF band is disturbed frequently by the power frequency harmonic interference, and QPSK modulation can’t effectively suppress interference. In this paper, the Chirp-BOK(Binary Orthogonal keying) modulation method for ELF communication based on ionosphere heating is proposed. The up-chirp and the down-chirp modulation waveforms are designed to transmit the symbols “0” and “1” respectively. Simulation results show that the variation of electron temperature and conductivity in the ionosphere is basically consistent with the frequency modulation characteristics of power modulation when the ionosphere is heated by Chirp-BOK power modulation high frequency wave. The performance of Chirp-BOK and QPSK under harmonic interference is compared, and the simulation results show that Chirp-BOK has better anti-interference performance.
Cylindrical Unidirectional Wave Transmission and Experiments Based on UWB-SWPL
Authors: Wu Diying , Lu Yi , Guo Yunfeng , Meng Fanbo , Wang Dongdong , Li Ran , Li Xiangzhen 
Published: January 2020

Abstract
Current studies have found that electromagnetic waves propagate in both positive and negative directions on the surface of magneto-optical media, and even have unidirectional propagation characteristics. This unique physical phenomenon has attracted the attention of many scholars in the industry. Through the derivation and theoretical analysis of vector potential equation, scalar wave equation and dielectric wrapped conductor waveguide, the existing TM mode and TE mode are shown. Then the millimeter wave energy is effectively radiated by the horn antenna to achieve a high efficiency coupling device. The electromagnetic energy is gathered on the surface of the conductor and transmitted along the conductor. At last, the validation of surface wave transmission is realized through experiments, which proves its authenticity.
Smart Grid Monitoring Systems based on Advanced Encryption Standard and Wireless Local Area Network
Authors: Yang Chuankai , Wu Jingfeng , Wang Longyang , Zhang Xiaolan , Li Liangshu , Liu Shan 
Published: January 2020

Abstract
China’s power grid is developing in the direction of informatization and increasingly large-scale at present. In view of the problems of optical cable interference and poor data security in the existing power grid detection system, a grid detection system based on wireless local area network (WLAN) and improved advanced encryption standard (AES) is proposed. Firstly, wireless local area network technology is introduced on the basis of the original power grid detection system to realize wireless transmission of power data. Then the newly-proposed system improves the S-BOX in the traditional AES encryption algorithm to improve the security of the algorithm. The improved AES encryption algorithm is applied to the grid detection system to realize the secure transmission of power data. Finally, the practical value of the grid detection system is verified by simulation.
Joint Power Allocation and Relay Beam-forming in Orbital Angular Momentum Amplify-and-Forward Relay Networks
Authors: Li Shuai 
Published: January 2020

Abstract
Orbital Angular Momentum (OAM) is a promising technology that can effectively improve the spectral efficiency of wireless communications. However, it is important for OAM to keep the antenna alignment of transmitter and receiver. The alignment requirements greatly increases the difficulty of the practical application of OAM, especially when there is a barrier or a large turning angle between uniform circular arrays (UCAs). In this letter, we studied the application of amplify-and-forward (AF) relay in multiple-input multiple-output (MIMO) OAM system to solve the problem caused by the existence of UCAs corners. In this work, our goal is to achieve the maximum achievable rate by jointly optimizing the source power allocation matrix and the relay pre-coding matrix, constrained by the power of the source and the relay. The problem is expressed as a convex problem by mathematical operations, and then based on the Lagrange dual method, we solved it by proposing an iterative algorithm. Numerical simulations show the superiority of the algorithm.
Research on Assisted Driving Technology based on Improved YOLOv3
Authors: Zhao Long , Liu Xiaoye , Wang Qiang , Chen Honglong 
Published: January 2020

Abstract
In the era of automobile popularization, China and the developed countries such as Europe and the United States are facing the same problem of high car accidents. This paper uses deep learning technology to detect and identify lane lines, traffic lights, vehicles and pedestrians during driver driving. Improve the efficiency and accuracy of convolutional neural network training through migration learning and data enhancement techniques. Based on the current advanced YOLOv3 network, we have improved the network structure and loss function. The KITTI dataset has achieved the highest 2D target recognition accuracy, and the target recognition speed is higher than 36 frames/sec. The price of the assisted driving equipment we developed does not exceed RMB 5, 000, which has a good market prospect.
Robust Vehicle Detection on Multi- Resolution Aerial Images
Authors: Wang Ziao , Zhang Xiaofeng , Yang Xiaofei , Xia Wu 
Published: January 2020

Abstract
Detecting vehicles in aerial images is one of the core components for intelligent transportation system. This task is challenging due to the comparably small size of the target objects, the complex background and multi-perspective views. It is particularly difficult for the real-time detection cases where only several tens of milliseconds delays are allowed. In this paper, we propose an approach to detect vehicles from aerial images with different resolutions and perspectives in an approximate real-time manner. The proposed model is robust and can detect vehicles in various detection scenarios. It can detect vehicles from an image within 47 milliseconds. We evaluate our method on a challenging data set of original aerial images over Munich and our data set collected using an unmanned aerial vehicle (UAV). The experimental results have demonstrated that our proposed method is superior to the state-of-the- art algorithms with respect to accuracy, recall and detection time.
Design of an Access Control System Based on Face Recognition
Authors: Wu Qiong , Wang Qiang , Zhang Yuhao , Jiang Bin , Cao Yongcheng , Liu Fang 
Published: January 2020

Abstract
This paper studies design of an access control system based on face recognition for the major purpose of programming face recognition and access systems for embedded equipment. The access control system studied in this paper has functions regarding security, access control, personnel management, travel logs and time management. In this paper, face recognition algorithms are theoretically analyzed and derived. Based on face recognition algorithms, access control systems, particularly including face recognition algorithms, image processing and software, are designed and realized. Overall systematic debugging practices prove that aforementioned algorithms and software designs are correct and effective.
Trajectory Design and Mode Selection for a Cellular-based UAV Traffic Monitoring System
Authors: Wang Kai , Wu Fanyi , Xu Kaiming , Wu Jianjun 
Published: January 2020

Abstract
In this paper, we propose to enable cellular networks to support a UAV traffic monitoring system, in which multiple UAVs are required to record videos from the target roads, and then transmit their video data back to the ground stations over the cellular spectrum. In this system, the video data can be transmitted directly to the ground stations bypassing the base station (BS), or via the traditional cellular links. Each UAV should select its transmission mode from the direct mode and the cellular mode as it preforms traffic monitoring tasks. Since the mode selections are influenced by the trajectories of UAVs, we study the trajectory design problem for UAVs in consideration of their transmission modes under a reinforcement learning (RL) framework. Then, we propose a trajectory design algorithm to solve this problem. Simulation results show that our proposed algorithm outperforms the single-agent one.
Road Segmentation based on Deep Learning with Post-Processing Probability Layer
Authors: Chen Weibin 
Published: January 2020

Abstract
In order to solve the problem of road image semantics segmentation, a novel semantic segmentation method based on deep learning is proposed in this paper, and it is verified that this method can optimize the segmentation effectively comaring with traditional Full Convolution Neural Network (FCN) model. Firstly, the traditional Full Convolution Neural Network model is constructed. And then according to the principle of the post-processing probability layer method proposed in this paper, the label of all road image training sets is used to compute and transform it to form a two-dimensional array which can represent the classification probability of each pixel, and it is combined with the Full Convolution Neural Network model to be used for road image semantics segmentation. Secondly, the tensorflow neural network framework is used to simulate the above two models. Finally, the experimental results show that the CNN model with the proposed post-processing probabilistic layer is able to get better results in road semantics segmentation in KITTI data sets. The pixel accuracy is improved from 88.8% to 91.3%, and the mean pixel accuracy is increased from 82.9% to 85.7%. The mean intersection over union increased from 72.5% to 77.9%.
Research on UAV Point Landing based on Visual Navigation
Authors: He Boyong , Meng Chen , Wu Liaoni 
Published: January 2020

Abstract
In this paper, the point landing technology based on visual navigation is studied on a rotor UAV flight platform. By contrasting different flight datum, several common image recognition and tracking algorithms are compared such as blob analysis, CamShift and KCF. Thus, automatic and manual methods are respectively designed for identifying ground targets, with rapidity, accuracy and robustness. After testing on UAV onboard equipment, the point landing technology based on visual navigation is finally achieved.
Dynamic Expression Recognition Based on Hybrid Features and Optimized Extreme Learning Machine Model
Authors: Sui Xiujuan , Xue Lei , Li Dunyu 
Published: January 2020

Abstract
Facial expression recognition is an academic subject, and it can be applied not only in the field of computer vision but also in psychology and sociology. This paper proposed a robust dynamic facial expression recognition method which using hybrid features and the PSOELM (Particle Swarm Optimization-Extreme Learning Machine) model. At first, six PSOELM models were trained on the training set of six basic expressions, respectively. Then by extracting the hybrid features which fusing geometric features and texture features, the dynamic expressions were recognized by PSO-ELM models. These experiments were performed on the Cohn-Kanade+ face database. The results show that this method has a better recognition effect on dynamic facial expression recognition.