bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research on Calibration Algorithm of Non-coaxial RF Device Test Fixture
Authors: Liang Chang , Qi Lin Sun , Yi Wei Peng , Yi Xiang , Zhuang Wang , Jun Rong Liu 
Published: July 2019

Abstract
With the rapid development of RF devices, the requirements for their testing techniques are becoming stricter and stricter. Due to the large errors introduced by the test fixtures during the testing process, it is necessary for a suitable calibration algorithm to eliminate them. For eliminating errors, in this paper, the SOLT calibration algorithm and the TRL calibration algorithm are selected for mathematical derivation, and establish a mathematical model. According to the mathematical derivation of the calibration algorithm and the simulation using Matlab, consequently, the correctness of the SOLT calibration algorithm and the TRL calibration algorithm is verified. It is concluded that the SOLT calibration algorithm is more suitable for the low frequency bands test of the non-coaxial RF device test fixture, while the TRL calibration algorithm is more suitable for high frequency bands test of non-coaxial RF device test fixture.
The research of colorimetric sensor based on one-dimensional Fibonacci quasicrystal structure
Authors: Wei Guojin , Sun Xiaohong , Liu Xiaolin , Xi Xiaoyu 
Published: July 2019

Abstract
Based on the principle of photonic crystal structure color, a one-dimensional Fibonacci quasi-crystal structure colorimetric sensor is designed and optimized. The optical model of quasi-crystal structure was constructed by iterative method with the number of iterations being 5. Quasicrystal structure consists of alternating arrangement of chitin and ethanol. A structure with higher color sensitivity was designed by changing the chitin filling ratio in the quasicrystal structure. Based on this structure, a high-sensitivity colorimetric sensor was designed by changing the amount of ethanol volatilization to monitor the change of reflectance spectrum.
Research on lightning numerical simulation of wheeled armored vehicle with the enclosure and cables.
Authors: Yi Liu , Bin Zhang , Zhiqiang Si 
Published: July 2019

Abstract
In order to further improve the all-weather combat capability of army armored equipment, the paper adopts the compact model of the CST MICROSTRIPES studio. The CST MICROSTRIPES studio is based on the numerical simulation technology of transmission line matrix algorithm and the paper has a study on the full-scale lightning strike numerical modeling and simulation. The induced electric field of the enclosures and the induced current of cables are analyzed. The simulation results showed that the method could effectively simulate the lightning response of armored vehicles, the electric field inside different enclosures and the lightning strike response of different cables are compared. It can provide reference for lightning protection design of armored vehicles and has a certain engineering application value.
The Effect of Thermal Effect of Magnesium Neodymium Double Doped Periodically Polarized Lithium Niobate on Self-Optical Parameter Oscillation
Authors: Wang Y H , Li Y , Liu H , Liu H Y , Yu Y J , Jin Guang-yong 
Published: July 2019

Abstract
Based on the theory of thermal effect, the temperature rise, deformation and the deformation of periodically polarized region are simulated. The theory of nonlinear transformation, the effect of thermal effect on nonlinear effect is analyzed.Based on the oscillation theory of the laser resonator, the laser resonator was proposed to be constructed, and the influence of the laser resonator and the optical parametric oscillation was analyzed to describe the optical parametric oscillation process of Nd:MgO:PPLN crystal construction more accurately.The thermal effect of the original dynamic model of OPO in the inner cavity was modified to better reflect the actual situation of the compound self-optical parametric oscillator. The experimental study of the future self-optical parametric oscillator provided a design idea and laid a theoretical foundation for the subsequent experiments.
Learning by Doing: A Laboratory Based Training Course on Dispatching Communication System
Authors: Li Li , Wen ming Wang , Wen hua Shi , Yan heng Zhao , Guang peng Liu 
Published: July 2019

Abstract
Communication technology plays a critical role in modern power grids. Electric utility personnel need to upgrade their professional skills on communication technology through training. Dispatching communication system is an important integral part of electric power communication systems. This paper presents a laboratory based training course on the topic of dispatching communication system in State Grid Technology College (SGTC). The paper describes the objective of developing the laboratory based training course, the equipments and components of the laboratory, and training projects based on the laboratory environment. The proposed laboratory consists of IP-based soft-switch and TDM-based private branch exchange (PBX) in a hybrid TDM/IP network. Hierarchical training programs have been developed by using the laboratory scenario as real work place. Hands-on laboratory projects have been developed to help the trainees experience configuration and maintenance of equipment and software that is the same as in industrial fields. The proposed training course has provided trainings and evaluations to novice employees of State Grid Corporation of China (SGCC) for 5 years and the feedback is good. Continuous revision of the laboratory and projects will be made according to the evolvement of the technical field in electric power communications.
Early Processing Research of Tibetan Two-syllable Words’ Tone in Lhasa
Authors: Hu Axu , Wang Menghuan , Yu Hongzhi 
Published: July 2019

Abstract
In this study, the tone of the Tibetan dialect in the pinyin language was taken as the research object. The experimental design is based on the Oddball paradigm stimulus sequence stimulated with tone 55. When the deviations stimuli tone 53, 13 and 114 are randomly presented in the sequence, the brain has a significant negative deflection in the ERP induced by the pre-attention phase deviation stimulus compared with the standard stimulation-induced ERP, and a larger mismatch negativity occurred in the left auditory cortex compared to the right, which is consistent with the results of studies on patients with impaired brain. That is to say, the vocabulary and tone processing shows the advantage of the left hemisphere.
Performance Analysis of OFDM System under Rice Channel
Authors: Qian Bo , Xie Siyao , Huang Jinhan , Feng Yongxin 
Published: July 2019

Abstract
For improving the capacity of the communication, the OFDM technology is used widely. The anti-jamming performances of OFDM system are analysed with the full-band interference, partial-band interference and comb spectrum interference under the rice channel. With the same parameters that the sampling frequency, the number of IFFT points, the cyclic prefix, and so on, when the numbers of subcarriers are 128, 256, and 512, respectively, the anti-jamming performances of OFDM system are simulated. The result of simulation shows that the anti-interference performance is obviously superior when the number of subcarriers is 128.
Research on Information Security Architecture of Aerospace Business Network for the Future
Authors: Chen Hongyan , Wan Junwei 
Published: July 2019

Abstract
In view of the new network security situation, this paper analyses the present situation of the information security system of the aerospace business network, and puts forward the main problems that need to be improved and perfected. In view of these main problems, the overall consideration of the future-oriented information security system architecture design of aerospace business network is put forward.It includes building dynamic defense model, unified trust infrastructure, network-wide security situational awareness and early warning capabilities. A new generation of security architecture is designed.Measures and suggestion for follow-up construction are put forward.
Application of cascade PID plus feedforward in automatic denitration control
Authors: Zhu Baoying , Li Bing , Wang Zhen , Song Ruifu 
Published: July 2019

Abstract
Generally, single PID loop plus feedforward control was adopted for the automatic denitration control in the power plant. When the ammonia pressure, unit load or NOx concentration of SCR inlet changes drastically, the adjustment control could not respond quickly, and the hysteresis is obvious. Based on the strategy of cascade PID plus feedforward control, a mathematical model for predicting the NOx concentration of the chimney inlet is constructed, which can reflect the boiler combustion conditions in real time. When the unit is in AGC-R mode, the feedforward control signals can be provided in time to adjust the ammonia injection flow, which can overcome the control problem caused by the characteristic of large hysteresis, and reduce the control overshoot and ammonia slip, and save the ammonia injection.
Analysis based on Signal of 802.11g Wireless Networks
Authors: Zhu Fengyuan , Deng Yi 
Published: July 2019

Abstract
As the rapid development of Wireless Local Area Network, 802.11g has be widely adopted. It plays an important role to the future of wireless communicationsBase on the 802.11g, this paper emphatically analyzed orthogonal frequency division multiplexing (OFDM) technology and combined with the author for many years research in the course of teaching experience
Overview of Image Matching Based on ORB Algorithm
Authors: Luo Chuan , Yang Wei , Huang Panling , Zhou Jun 
Published: July 2019

Abstract
ORB image matching is of great significance in the field of image processing, which is mainly used in navigation, target recognition and classification, image stitching and remote sensing registration. Based on the existing literature on ORB algorithm research, this paper first introduces the classic ORB algorithm. Then, the various improved algorithms of ORB are expounded, and the performance index of image matching algorithm based on feature points is introduced. Finally, the shortcomings of the ORB algorithm are pointed out and the development direction of the algorithm is prospected.
Effect of Skin Layer on Electric Impedance Scanning Imaging
Authors: Zhang Feng , Li Xiangjuan , Duan Bohan , Zhang Chen , Hu Longtao 
Published: July 2019

Abstract
In study of Electric Impedance Scanning Imaging (EISI), some scholars believe that low electrical impedance of skin layer will reduce detection sensitivity of imaging system. However, in the previous numerical model analysis, there is little work to analyze the influence of skin layer. Based on actual size, electrical parameters of Chinese female breasts and detection probe structure, static electric field equation was solved by finite element method. Results show that skin layer not only reduces current detected by probe, but also significantly reduces sensitivity of probe. The smaller the conductivity of skin layer, the more obvious decrease in sensitivity. In practice, if conductivity of skin layer can be improved by some means, sensitivity of probe can be increased. Furthermore, if thickness and conductivity parameters of skin layer can be accurately obtained, and then influence of skin layer in overall EISI image can be eliminated, imaging quality and detection sensitivity of system should be significantly improved.
Discovery and Extraction of Surface Painted Patterns on the Cultural Relics Based on Hyperspectral Imaging
Authors: Han Dong , Ma Linna , Ma Shengtao , Zhang Jiawan 
Published: July 2019

Abstract
Hyperspectral imaging, which can non-invasively acquire image and spectrum information on the surface of cultural relics is an efficient and scientific support for heritage conservation. This paper proposed a method that made good use of the imaging results of the hyperspectral system in the infrared band, and used data processing and image processing techniques to enhance and extract the painted pattern on the No.2 Qin Bronze Chariot. The results show that the method can obtain a relatively complete digital image of the painted pattern, which can provide favourable support for the further research and application of the No.2 Qin Bronze Chariot.
Urban House Detection Using SAM and SIFT on Hyperspectral Remote Sensing Images
Authors: Wang Cailing , Yang Fan , Wang Hongwei , Guo Pu , Hou Jiale 
Published: July 2019

Abstract
The detection and identification of urban object targets have always been a research hotspot. In recent years, the spectral, spatial and temporal resolution of remote sensing images have been continuously increased, making hyperspectral remote sensing images widely used in urban object recognition. We proposed a new method for urban house detection by combining the spectral mapping results and spatial features. Firstly, the target spectral information is used to distinguish the targets in spectral domain. Then, the spatial SIFT feature algorithm is used on the results of spectral mapping, which can improve the accuracy of urban housing target recognition.
Depression Tendency Screening Use Text Based Emotional Analysis Technique
Authors: Yang Chujun , Lai Xiangwei , Hu Zhe , Liu Yanni , Shen Peng 
Published: July 2019

Abstract
This paper proposes a text recognition model for semantic analysis of the interview records related to depression, which can effectively identify whether the interviewee is a patient with depression tendency. It mainly consists of two components: 1) The framework of Support Vector Machine (SVM) for Classification of depression related questions; 2) the framework of Doc2vec and Text Convolutional Neural Network (TextCNN) for classification of whether the interviewee has a tendency to depression. Finally, the results obtained by the two classification methods are combined to establish a text classification model that is easy to analyze the tendency of depression.
Construction and Querying of Ancient Poet Knowledge Graph
Authors: Wang Shuai , Wang Di , Zhang Daikun , Zhang Fu 
Published: July 2019

Abstract
In recent years, with the development of knowledge graph techniques, how to construct various of knowledge graphs from different application domains has become important issues. This paper proposes a construction and querying approach for ancient Chinese poet knowledge graph. Firstly, the paper presents an approach for completing the construction of knowledge graph based on the techniques of knowledge acquisition, knowledge fusion, ontology generation and knowledge reasoning. The corresponding algorithms are provided. Then, the paper further investigates and realizes a query system for querying the poet knowledge graph through D3 data visualization query. Finally, several cases are carried out on the query system, and the results show that the approach and the prototype system are effective. The constructed ancient poet knowledge graph may be useful for users to query the poet information more accurately.
Identification of Aircraft Targets Based on Time-frequency Images and CNN
Authors: Lu Ting , Zhang Wenpeng , Yang Wei , Fu Yaowen 
Published: July 2019

Abstract
Aimed at the micro-Doppler effect of air targets, a method is proposed based on time-frequency images and convolutional neural network (CNN) to identify helicopters, propellers and jets. In this paper, the time-frequency images are constructed by performing short-time Fourier transform on the aircraft target echo signal. Using the obtained time-frequency images as the input of the convolutional neural network, the time-frequency images features of the three types of aircraft targets are extracted by utilizing the powerful image learning ability of the convolutional neural network. The results show that the CNN method has better recognition effect than the support vector machine (SVM) and back propagation (BP) network, and the CNN is more robust and generalized.
Exploring The Elements of The Grounding Problem of Video Surveillance System
Authors: Jiangtao Hu 
Published: July 2019

Abstract
The analysis of the grounding problem of video surveillance system and the study of its corresponding design methods are the key to ensure that such systems fully play the expected role. This paper will first discuss the role of system grounding, and then analyze it on this basis. The classification and design principles of the grounding of the video surveillance system are the last part which mainly combines these contents, and proposes the construction strategy corresponding to the system grounding.
Signal Self-nulling Based DOA Estimation Method Using Acoustic Vector Sensor Array
Authors: Ao Yu , Wang Ling , Xu Ke , Wan Jianwei , Zhuo Jianghao 
Published: July 2019

Abstract
The acoustic vector sensor (AVS) array is a powerful tool for direction of arrival (DOA) estimation of underwater targets. However, traditional DOA estimation algorithms generally suffer from low signal-to-noise ratio (SNR) as well as snapshot deficiency. A novel signal self-nulling based DOA estimation method is proposed. Firstly, achieve the crude estimation of the desired DOA using the traditional algorithms. Secondly, set the observation angular interval around the crudely estimated DOA. Thirdly, make the observation direction vary in the observation angular interval, and for each imaginary DOA, calculate the amplitude response of the minimum variance distortionless response (MVDR) beamformer. Finally, the pseudo spatial spectrum is achieved. Computer simulations verify that the proposed method is efficient in DOA estimation, especially in low SNR and insufficient snapshot data scenarios.
A Lightweight Residual-Inception Convolutional Neural Network
Authors: Gao Kangyu , Zhang Qingyong , Wang Haoran 
Published: July 2019

Abstract
Deep convolutional neural networks have become a powerful tool to solve practical problems, especially in the field of image recognition and machine learning. This paper introduces a lightweight convolutional neural network model which named RINet, based on a combination of the Inception structure and blocks inspired by ResNet. This model achieves high accuracy while reducing the number of parameters and increases the training speed. It has reached the correct rate of 93.7% on the dataset of ISIC and the recognition accuracy improves 6.3% and 1.5% compared to deeper networks called InceptionV1 and transfer learning of InceptionV3.
Research and Analysis on the Field of Food Additive by Knowledge Graph Construction
Authors: Zhang Xinyue , Yang Lu , Zheng Limin , Cheng Guodong 
Published: July 2019

Abstract
The purpose of this study is to make people have a more intuitive understanding of relevant research in the field of food additives. In this paper, the bibliometrics and network analysis methods are used to study the literatures in the field of food additive research, which are included in the core collection database of web of science. With the help of citespace 5.2.R2 software, this paper analyzes and visualizes the age, institutions, research hotspots and research trends. In addition, it also explores the hot research direction of the field through the node centrality, prominence words and word frequency evolution.
Application of UAV aerial image in monitoring and maintenance of expressway green belt
Authors: Zhong Nan , Sang Lingzhi , Duan Tao 
Published: July 2019

Abstract
The function of highway greening project is mainly classified from three aspects of central separation belt greening, slope greening and road side greening, and the initial indexes of various highway greening evaluation will bring great workload to the post-maintenance work. High-throughput highway inspection and monitoring platform is of great significance to the qualitative and quantitative evaluation of highway greening project. The UAV platform monitors the population shape of the plant in the central green belt of the highway, has the advantages of higher flux, high reduction degree and low cost, and is an important development direction of highway greening project maintenance in the future. Based on the present situation of maintenance and repair of highway greening project, the information acquisition technology of plant population characteristics and the systematic summary of the function of highway green belt, this paper mainly discusses the application prospect of UAV quantitative remote sensing technology in the monitoring of functional index of highway green belt, which is the driving safety of highway, the design of green belt, structural optimization and maintenance management provide theoretical support.
W-net: the Convolutional Network for Multi-temporal High-resolution Remote Sensing Image Arable Land Semantic Segmentation
Authors: Shi Linshan , Huang He , Shi Yang , Hu Yimin 
Published: July 2019

Abstract
Aiming at the problem that manual arable land semantic segmentation is time-consuming, inefficient, segmentation results rely heavily on the staff’s experience and traditional methods cannot meet the requirements of land segmentation, this paper first proposes a new neural network W-net to realize multi-temporal high-resolution remote sensing image arable land semantic segmentation. We use some data augmentation methods, build the W-net neural network, train with the training set, and test the performance of the neural network with the test set. In this paper, the results of manual labeling are used as the reference. In the case of maintaining the same training set, verification set and test set, FCN, SegNet and W-net are used for control-experiments. The experimental results show that the segmentation accuracy of W-net is higher than that of FCN and SegNet, and the edge segmentation is flatter. W-net has higher accuracy of arable land semantic segmentation for multi-temporal high-resolution remote sensing images than single-temporal high-resolution remote sensing images. W-net neural network can effectively fulfil the task of arable land semantic segmentation.
Research on MIMO Spread Spectrum Underwater Acoustic Communication Based on r-Combined Mapping
Authors: He Xiumei , Du Pengyu , Yin Jingwei 
Published: July 2019

Abstract
The complex underwater acoustic channel greatly limits the information transmission capacity of the underwater acoustic communication system, which seriously affects the performance of the underwater acoustic communication system. Therefore, robust and high quality underwater acoustic communication has been faced with severe challenges. This paper combines MIMO technology and spread spectrum technology to develop the MIMO spread spectrum underwater acoustic communication system based on r-combined mapping, which achieves a high information transmission rate and a high frequency band utilization by spatial multiplexing.
Noise Temperature Measurement System of Normal and High Temperature Load Method
Authors: Wang K , Wang Y , Chen M Z , Li X F , Ma J , Yan H , Xiang B B 
Published: July 2019

Abstract
Microwave receiver is a special equipment used to receive radio signals in radio telescope. The noise temperature of receiver is an important target to test sensitivity. The lower the noise temperature is, the higher the sensitivity is. Therefore, the measurement of noise temperature is very important. The classical cold and ambient load method can measure noise temperature well, but it can not be carried out during observation. In addition, the performance of microwave devices is not unchanged, and noise temperature will vary with the ambient temperature and test equipment, so real-time measurement of noise temperature is important. We set up a noise temperature measurement system based on normal and high temperature load method. Through this system, noise temperature can be calculated by measuring the radiation power and temperature of blackbody at normal temperature and after heating to 150°C. Compared with results of the cold and ambient load method, the maximum test error is 12.3% in five tests, and the other test errors are less than 10%. The results can confirm that the normal and high temperature load method could be hopeful to satisfy the normal test requirements of centimeter-band normal temperature receiver.