bluuebunny/crossref_metadata_2025_split huggingface dataset:
Study on Propagation Characteristics of Obliquely Incident Terahertz Wave in Non-Magnetized Plasma
Authors: Tao Zheng , Pan Ziyi , Ye Qiong 
Published: August 2020

Abstract
A transmission model of THz wave in non-uniform and magnetized plasma is established. Based on the analysis of transmission characteristics in Gaussian and uniform plasma environments, theoretical simulations are performed using the continuity conditions of the electric and magnetic fields at the boundary of each layer. The effects of collision frequency, electron density and incident angle on the attenuation of THz wave energy are mainly discussed. The attenuation of the THz wave by the collision frequency does not change monotonously, and the optimal frequency needs to be selected according to the actual situation. THz wave attenuation increases with increase of electron density. And the THz wave attenuation decreases with the increase of the incident angle. Vertical incidence can be used as a means to alleviate the “communication blackout”. The conclusions of this paper provide a good theoretical basis and relevant parameter references for alleviating the “communication blackout” problem.
An efficient attribute-based authentication scheme with multiple authorities in public cloud
Authors: Liu Xin , Guo Man , Zhang Bin , Li Xuzhou 
Published: August 2020

Abstract
Currently, attribute-based authentication provides a feasible solution for fine-grained access control in cloud environment. However, the existing schemes can not solve the following problems at the same time, that is, how to ensure that the computation cost of the client does not depend on the size of underlying access structure, and how to introduce distributed authorities to manage and maintain the attribute universe. To solve the above problems, an efficient multi-authority attribute-based authentication scheme is proposed. The new scheme uses the technique of distributed attribute-based encryption to realize the access control of anonymous users, and reduces users’ computation burden by optimizing the standard implementation zero-knowledge proof and outsourcing users’ computing tasks in the authentication stage. Under the new definition of security, it can be proved that the new scheme is secure and satisfies many attractive properties, such as introducing distributed authorities, supporting outsourcing computation, satisfying attribute anonymity.
An online/offline distributed attribute-based authentication scheme
Authors: Liu Xin , Guo Man , Li Xuzhou , Zhang Bin 
Published: August 2020

Abstract
Attribute-based authentication is an effective cryptography mechanism, which makes it possible for service providers to implement fine-grained access control on cloud resources. Although many attribute-based authentication schemes have been proposed, most of them only support single attribute authority and users have to perform a large amount of computation in the authentication phase. By extending the ciphertext policy attribute-based encryption scheme of Rouselakis et al, a distributed attribute-based authentication scheme was designed. The feature of the new scheme is to optimize the online computation efficiency of both service providers and users, i.e., by introducing the technique of online/offline attribute-based encryption, the online computational burden of semi trusted servers is greatly reduced. On the other hand, by introducing outsourcing decryption, users’ computation in the authentication stage is independent of the size of underlying access structures. Compared with previous schemes, the new scheme satisfies several ideal properties, that is, introducing distributed authorities, supporting outsourcing computation, satisfying anonymity and unlinkability, and so on.
Research on Antenna Selection of Projectile-carried Communication Jammer
Authors: Zhang Jie , Ma Wenjun , Zhang Xiaolei 
Published: August 2020

Abstract
Focusing on the antenna selection of the projectile-carried communication jammer, this paper analyzed the requirements of the projectile-carried environment on the transmitting antenna from five aspects: antenna type, number of antenna parameters, signal propagation path, communication distance of the transceiver, calculation complexity of the radio’s sensitivity. The results show that in the process of designing and developing the projectile-carried communication jammer, it is suitable to select small whip antenna for projectile-carried communication jamming antenna.
Security Analysis of Public Security Terminal Network and Its Peripheral Equipment
Authors: Wu Yuqiang , Wu Yubao , Yang Wengan 
Published: August 2020

Abstract
As a major focus of global Internet security, peripheral equipment security is getting more and more attention. Due to the serious asymmetry between the high access level and the low protection level of the public security network and its peripheral equipment, it is very easy to be attacked by hackers. This paper briefly describes the Internet of things access technology, introduces the public security terminal network interconnection access mode and part of the network topology. Based on the preliminary analysis of the security of the software and hardware of the public security terminal network and its edge equipment, this paper analyzes the security of the public security terminal network and its peripheral equipment for the subsequent security design, to ensure the reliability of the public security terminal network and its peripheral equipment, and to strengthen the network security of the public security terminal network.
Analysis and Optimization of a Pulse Repetition Frequency for Along-Track Distributed Multiple-Input Multiple-Output Synthetic Aperture Radar
Authors: Pengcheng Li , Zaoyu Sun , Feng He , Yongsheng Zhang 
Published: August 2020

AbstractA distributed multiple-input multiple-output synthetic aperture radar (MIMO-SAR) system combines azimuth multi-channel and digital beamforming technologies to produce data with a high-resolution azimuth and wide swath. The MIMO-SAR system uses a tight along-track formation, and the spacing between its satellites is typically 100 m. The space sampling characteristic is sensitive to changes in pulse repetition frequency (PRF). This paper presents a method for optimizing the PRF of a distributed MIMO-SAR system based on the performance of the latter. The optimized PRF adapts well to variations in satellite spacing. These results show that PRF optimization can effectively improve the performance of the distributed MIMO-SAR system.
The intrapulse beamsteering radar based on OFDM Chirp signals
Authors: Wang Shenjing , He Feng , Sun Zaoyu , Li Pengcheng , Dong Zhen 
Published: August 2020

Abstract
The OFDM (Orthogonal Frequency Division Multiplexing) technique is widely used in communication field due to the great waveform diversity and anti-fading ability of OFDM signals. Because of the similarity of radar system and communication system, The OFDM radar has gradually emerged as a new system radar in recent years. At the same time, Intrapulse beamsteering system is a kind of multi-dimensional waveform encoding, which can improve the transmitting efficiency and multi-mission performance of radar. So, this paper proposes a new radar operating mode with the combination of the OFDM chirp signals and the intrapulse beamsteering in elevation, that is the combination of waveform orthogonality and beam orthogonality, we can also call it “double insurance”, which can greatly improve the emission efficiency and the system performance. Especially the interference suppression and the robustness to terrain undulation. The simulation results at the end of the paper prove the feasibility and advantages of the proposed operating mode.
A large Flow Signal Processing and Measurement Method based on Ultrasonic Gas Meter
Authors: Zhu Piao-xia , Li Yue-zhong , Zhang Yu-hua , Li Meng 
Published: August 2020

Abstract
Ultrasonic flowmeter is extensively used in petrochemical, metallurgical and other industries for its non-contact measurement, large measuring range, stable measurement results and no pressure loss. The time difference measurement method is adopted by the ultrasonic gas meter that can reduce the error caused by the variation of sound velocity with the temperature of the fluid. But there are some problems in the large flow point and small flow point in the time difference measurement method, such as low precision, low repeatability, poor stability. According to study the influence of flow velocity on ultrasonic echo signals, a method of variable threshold and variable gain based on peak detection is proposed and the prototype of gas ultrasonic flowmeter is designed in this paper. The national standard device, 100L automatic bell cover test device, is applied to verify the design scheme proposed in this paper. The experimental results indicates that the validity of variable threshold and variable gain ultrasonic signal processing method based on peak sampling is verified, in addition, the measurement accuracy and repeatability of the ultrasonic gas meter are enhanced at the point of large flow (large flow rate).
Multi-sensor weighted fusion algorithm based on improved TOPSIS
Authors: Tao Sheng , Hai-bao Xia 
Published: August 2020

Abstract
In the process of track fusion of multi-sensor target tracking, multi-sensor weighted fusion is used to overcome the shortcoming of incomplete single information source. In order to change the weight of each sensor participating in fusion in real time according to the merits and demerits of sensor information adaptively, a method of sensor weight calculation based on improved TOPSIS is proposed. Firstly, the local estimation and global prediction residuals of each sensor are composed into residuals matrix, from which the ideal solution is found, and then the relative closeness degree is calculated according to the grey correlation distance between the local estimation residuals and the ideal solution, so as to screen the sensors with high weight to participate in the fusion. The simulation results show that the tracking error of the algorithm after fusion is significantly reduced compared with the local estimation error of each sensor, and the tracking error of multiple sensors for the target can be realized.
Iterative adaptive approach STAP algorithm based on arc antenna array
Authors: Gao Zhiqi , Wang Ximing , Huang Pingping , Xu Wei , Zhang Zhenhua 
Published: August 2020

Abstract
The radar with arc antenna array has the advantages of all-orientation space scanning, simultaneous estimation of pitch-azimuth angle and good antenna pattern. However, due to the special geometry of the antenna, the echoes from different range cells are not independently and identically distributed (IID) samples, resulting in performance degradation in space-time adaptive processing technology. In this paper, the model of airborne radar with arc antenna array is established, and the clutter distribution is analyzed. The conclusion is that the nonlinear variation of spatial angular frequency with array element number results in the non-uniform clutter distribution in different range cells. Therefore, the traditional space-time adaptive processing is not fit for the target detection of arc array radar. Hence, the arc array-based iterative adaptive approach (IAA) algorithm is studied. The IAA algorithm is utilized to estimate the space-time spectrum, which can distinguish clutter and targets. Simulation experiments verify the effectiveness of the IAA algorithm in arc array radar.
Research on the Sea Spike Suppression Based on Range Domain Characteristics of Relatively High Resolution Radar
Authors: Hanqi Sun , Xiaoyong Wan 
Published: August 2020

Abstract
With the improvement of radar resolution, especially when the radar works in low erasing angle, the masking effect becomes more and more obvious, and a large number of sea spike arise. This paper mainly uses the relatively high resolution sea radar data, analyses the amplitude and frequency characteristics of the target and the sea peak. Finally, according to the differences of their range domain characteristics, we propose a range domain suppression method of sea spike. Experimental data analysis proves the validity and feasibility of the algorithm.
Research on Digital Copyright Infringement Based on Cloud Computing Environment
Authors: Zuo Xiangbin , Ding Huanhuan 
Published: August 2020

Abstract
Since the popularity of the Internet, more and more people have chosen to look for the information and resources they need on the Internet. People’s lives have gradually been changed by the Internet. Cloud storage brings new development opportunities, and the copyright protection issues involved in cloud storage are gradually emerging. Cloud storage has changed the original pattern among traditional information owners, disseminators and users, causing conflicts among copyright owners, cloud storage servers and information acquirers, and the problem of copyright protection has become increasingly prominent. The rapid development of network file sharing platforms such as cloud storage brings unprecedented challenges to copyright protection. The application and development of cloud storage also challenges the recognition of traditional copyright system, object and content, so we must balance the contribution of cloud storage to the exchange of information resources and protect the legitimate rights and interests of copyright holders.
A context and semantic enhanced UNet for semantic segmentation of high-resolution aerial imagery
Authors: Wang Fang , Xie Jindong 
Published: August 2020

Abstract
Semantic segmentation of high-resolution aerial images is of paramount importance in a wide range of remote sensing applications. The ever-increasing spatial resolution of aerial imagery brings about two specific challenges that incur labelling ambiguities: intra-class heterogeneity and inter-class homogeneity. To address these two challenges, a novel end-to-end semantic segmentation network for high-resolution aerial imagery, namely Context and Semantic Enhanced UNet (CSE-UNet), is proposed in this paper. Specifically, we exploit multi-level Receptive Field Block (RFB) based skip pathways to enhance the representational power of multi-scale contextual information, and therefore tackle the issue of intra-class heterogeneity. To solve the inter-class homogeneity problem, we propose a dual-path encoder where an auxiliary multi-kernel based feature encoding path is embed to produce strong semantic features at all levels to enlarge the inter-class differences. Experimental results shows that our proposed CSE-UNet achieves competitive performance and outperforms UNet and several other deep networks on the ISPRS Potsdam and Vaihingen datasets.
Designing preamplifier for sensing atmospheric electrostatic field strength via supercapacitive sensor
Authors: Wu Changhao , Xiong Yi , Zeng Wei 
Published: August 2020

Abstract
In order to effectively obtain the signal from sensor, the analogy signal needs to be amplified and then converted into a digital signal for matching to the sensor characteristics. With a supercapacitive electric field sensor based on graphene aerogel, the response current signal from the electric field sensor is weak and unstable. Herein, a high gain and low noise preamplifier is developed, and an amplifier circuit with double T-type feedback network is proposed to reduce the Johnson noise for the amplifier. This design can reduce the thermal noise of resistance by using the smaller resistance under the same gain, and it can effectively reduce the interference of peak noise by adding the feedback capacitance, so as to improve the detection accuracy. The simulation results show that under the same gain condition, the Johnson noise can be reduced by 46% and the detection accuracy can be improved by 12% compared with the traditional T-type feedback network.
The Research on a parallel and synchronous encoding and decoding method of multi-level LDPC
Authors: Zhou Hui , Zhao Hairu , Zhao Shengping , An Zhenzhou 
Published: August 2020

Abstract
Based on the research of Binary Low-Density Parity-Check (LDPC) code, this paper studies the Quaternary LDPC code. Based on LU decomposition and BP algorithm, a block and partition parallel mode is proposed to make the data receiving and code compiling process run at the same time, which not only improves the coding speed, but also greatly reduces the time delay caused by data receiving before coding, and the feasibility of the algorithm is verified by simulation. At the same time, synchronization technology is added to the system to minimize the error caused by parallel transmission and ensure the reliability of data reception. The simulation results show that the new algorithm can effectively reduce the time delay and the bit error rate to ensure the effectiveness and reliability of information transmission.
Game Design and Implementation in Popular Science Education Based on Virtual Reality Maze
Authors: Ran Tao , Xin Gao 
Published: August 2020

Abstract
With the development of science and technology, VR technology has been widely used in various fields, and promoted the rapid development of various fields. It has become an important direction of market development in game design, and VR technology has many advantages in practical application. According to the research and development concept of popular science game and VR maze game, this paper designs the game by making use of what they have in common. Effective integration of knowledge popularization and electronic games, through the VR maze popular science games to open up new ways of knowledge dissemination.
Speech noise Reduction and Automatic Recognition Based on Active Detection Algorithm
Authors: Mo Jianli , Wu Chenyu 
Published: August 2020

Abstract
In practice, people need to carry out intelligent speech analysis on the sound collected or recorded in some specific scenes. These sounds are recordings of a period of time in some specific places. Due to the influence of the phonetic environment and the limitation of acquisition or recording means, the actual effective and available voice content is very small, and the voice quality is relatively poor. Therefore, it is necessary to enhance the speech of the acquired recordings, eliminate the noise and the interference of non-human voice, and improve the understanding degree of the target’s voice. Voice quality is improved, and the voice can be targeted content recognition and keywords detected, the audio files into a text file, by setting the key words found early warning, the valuable data information in mass speech quick preview, retrieval, analysis, according to the established goals and objectives by using automatic speech recognition in order to improve work efficiency.
A Semi-Supervised Generative Model Integrating Both Syntactic and Semantic Features for Bacterial Subcellular Localization Extraction
Authors: Shi Zhongmin , Zhong Li , Lin Guishi 
Published: August 2020

Abstract
Our study on the Bacterial Subcellular Localizations (BPLs) extraction1 focuses on generative learning. We propose a generative model extracting BPLs from MEDLINE abstracts. The model integrates both syntactic and semantic features of a sentence, and capable of identifies biomedical named-entities and relations at the same time from a large set of noisy biomedical data. The overall performance of the model exhibits a significant improvement comparing to a supervised alternative.
Research on Army and Local Government Integrated Joint Command Information Platform
Authors: Zhen Zi-qing 
Published: August 2020

Abstract
The current national comprehensive security is facing new challenges. On the basis of the analysis of the current status of the construction of the military and local command systems, the concept of the construction of an integrated military command command information platform is proposed. It analyzes the functional requirements of the integrated military-civilian integrated command information platform, designs the system structure and system operation process, and finally discusses the key technologies of the integrated military-civilian integrated command information platform.
Test Method of Real-time Kinematic and Its Application in Terminal Positioning Performance test
Authors: Zhang Qinjuan , Jing Huanhuan , Wang Na , Tang Lei 
Published: August 2020

Abstract
The real-time kinematic technology has been widely used in positioning terminals. The principle, test method of the real-time kinematic technology and its application in terminal positioning test are presented in this paper. A virtual drive test system is developed by using the real-time kinematic technology, and the positioning performance of the terminal is tested under different road sections. The test results show that the system can evaluate the terminals performance under the real application scenarios very well.
Analysis on the Applicability of the Random Forest
Authors: Zhu Tongtian 
Published: August 2020

Abstract
Random forest is a flexible algorithm with a wide range of applications and performs well on a large number of data sets. Besides, Random forest is immune to statistical assumptions as well as preprocessing burden and can handle a large data set with high dimensionality and missing values. Nevertheless, random forest struggles with high-cardinality categorical variables, unbalanced data, time series forecasting, variables interpretation, and is sensitive to hyperparameter. Thus, random forest is relatively suitable for processing high-dimensional data and data with missing variables. Besides, random forest works well with a large amount of data, which is previously unprocessed. Moreover, random forest is an appropriate method, when there are prior statistical assumptions. However, random forest is non-ideal, when processing data with endogenous temporal effects or high-cardinality categorical variables, as well as when the interpretation is the primary goal. Despite the shortcomings of the random forest, there are still some improvements that can be made. It will be more convenient for users to screen methods, if there is a rating system to give an overall score towards all alternative algorithms depending on the input data and the users’ goals.
Review and Prospect of China Management Accounting in the Information Age
Authors: He Lanfang 
Published: August 2020

Abstract
With the advent of the information age, big data, “Internet +", “intelligence +", “cloud computing” and other technological methods emerge in endlessly, the basic financial accounting work will gradually be replaced by intelligent robots, and this is a great opportunity to promote the development and transformation of management accounting. Management accounting, as a product of the combination of management and accounting, requires a large amount of information and data in order to play a specific role. In the context of the information era, management accounting can rely on the assistance of scientific and technological means to integrate and analyze enterprise information, and further promote enterprise decision-making, control, investment, etc. To serve the overall development situation, management accounting is promising. This article reviews the development of management accounting since the founding of the People’s Republic of China and summarizes the problems existing in the development process. On this basis, it provides guiding opinions and suggestions for further improving China’s management accounting.