bluuebunny/crossref_metadata_2025 huggingface dataset:
Multi-feature analysis fatigue driving based on Conditional Local Neural Fields algorithm detection method
Authors: Wan Yan , Liu Min , Fan Jinghua , Zhao Yingbin , Jiang Jiangpeng , Yao Li
Published: July 2019

In order to effectively strengthen the monitoring technology of fatigue driving and reduce the incidence of traffic accidents, this paper proposes a new method based on conditional local neural fields algorithm for comprehensive evaluation of fatigue driving state. At present, most of the fatigue driving detection algorithms are based on extracting a single characteristic index, which is strict in environmental requirements and not high in detection. In this paper, the HOG feature is combined with the CLNF algorithm to implement face detection and feature point localization. Then, the EPnP algorithm is used to estimate the head anomaly frequency based on the feature point information, and the blink frequency is calculated according to the EAR eye length aspect ratio concept according to the feature points around the eye. Finally the threshold set by the P80 fatigue detection standard in the PERCLOS method is integrated, and the distributed information fusion strategy is used for fatigue evaluation. Experimental results confirm the effectiveness of the method.
Research on of the Sausage Flavour by GC-MS and Electronic Nose
Authors: Yang Xin , Zheng Limin , Yang Lu
Published: July 2019

To rapidly and objectively evaluate the flavour of sausages using an electronic nose, the experiment extracted the volatile components of 6 different kinds of sausages of a certain sausages brand manufacturer and identified them using gas chromatography-mass spectrometry (GC-MS).Sensory evaluation and an electronic nose were used to evaluate the flavour attributes of sausages. Partial least squares discrimination analysis(PLS-DA) was used to identify and classify the electronic nose data of different varieties of sausages samples; The volatile components were identified by the method of variable important in the projection (VIP); The correlation between critical flavour components and the sensory attribute was established by partial least squares regression(PLSR). According to the PLS-DA results, the electronic nose has good distinguishing ability for different kinds of sausages and different production batches of the same kind of sausages; A total of 118 volatile flavour compounds were identified in sausages.; Through the method of VIP, 44 kinds of differential characteristic substances were obtained and classified by PLS-DA discriminant analysis, which was consistent with the electronic nose classification result mapping relationship; The PLSR shows that sensory attribute has a good correlation with the differential flavour components. Therefore GC-MS, electronic nose and sensory analysis can comprehensively evaluate the flavour differences of the sausages.
Design and Implementation of Oracle Database Incremental Data Capture Based on Trigger and Identification Table
Authors: Hu Qiangqiang , Gan Zhichun , Zhang Bin
Published: July 2019

Data synchronization technology is one of the key technologies of data storage in distributed database. At present, it is an effective method to achieve data synchronization between source database and target database by capturing incremental data and transferring incremental files. Based on the research of Oracle database and the analysis of commonly using incremental data capture methods, this paper designed DML trigger and incremental data identification table to store incremental identification data in the identification table, and generated incremental XML files for network transmission according to the identification table. Finally, the feasibility of this method was tested. Tests showed that the method was reliable and stable, and could be applied to data synchronization in distributed databases.
Research on the Design of Cloud Computing Platform in Intelligent Campus
Authors: Zijiao Tang
Published: July 2019

Constructing intelligent campus is the inevitable trend of educational informationization development. With the development of technology and the deepening of application, users demand a more humane and intelligent user experience, and put forward new functional requirements for the construction of intelligent campus. The construction of cloud-based IT system platform and its application mode can solve the above problems fundamentally, so as to promote the leap-forward development of educational informationization construction.
Research on Enterprise Logistics Management Innovation Based on Supply Chain Management Environment
Authors: Jiang Xin
Published: July 2019

In order to promote the innovation of logistics management in China’s enterprises, this paper analyzes the logistics industry in China in combination with the supply chain management environment, points out the current situation of logistics management in China, analyzes the existing problems, and puts forward the measures and development direction of logistics management innovation.
A Signal Processing Algorithm Proposed for OFDR Distributed Sensing System to Enhance Its Performance
Authors: Li Bingjian , Cui Jiwen , Zhang Xuping , Dang Hong , Sun Xun , Jiang Dong , Feng Kunpeng
Published: July 2019

A novel OFDR processing algorithm is proposed to improve the measurable range. The high local similarity found between the reference and measurement Rayleigh scattering spectrum (ReS and MeS). The spectrum shift of the Rayleigh backscatter which is the function of strain is measured using an improved optical frequency-domain reflectometry (OFDR). This method is improved by matching local ReS on MeS rather than a direct cross-correlation between whole ReS and MeS in conventional OFDR methods. By this method, a larger measurable range (0∼3000µε) OFDR method with a high level spatial resolution (3mm gauge) is experimentally achieved comparing to conventional OFDR methods.
Anti-short girth serial update decoding algorithm of GF(q) LDPC codes
Authors: Chen Xin , Li Bo , Chen Yanbin
Published: July 2019

A serial Fast Fourier Transform Belief Propagation (FFT-BP) algorithm with low complexity of non-binary LDPC codes decoding is presented in this paper to reduce the effects of short girth. During iteration, part of the variable nodes with short girths will just send messages to its neighbor, which are in the same short girth and avoid the messages from them. In the next iteration decoding, this part of the nodes updates and the newly updated node with sort girth stops updating. Simulations show that the proposed algorithm achieves a better gain to the standard algorithm and reduces complexity at the same time.
Design and optimization of automatic conveying equipment for cargo bags of cargo spacecraft
Authors: Hailin Dai , Ruizhao Du , Weifeng Yuan , wei Wang , dong Li , qian Zhao
Published: July 2019

Cargo transportation equipment is commonly used for ground loading in aerospace. Taking flexible cargo bags as a transport carriers and taking a cargo ship hatch as the target container, a kind of cargo bag transportation system is designed according to the transportation process and function requirements. On the basis of the analysis of structure and working procedure, the working principle of the mechanical subsystem as well as the structure design of key components is proposed in detail. To improve the performance of support plate’s stiffness, a topological optimization is implemented and the optimized result is hence achieved. Finite element simulation shows that the performance of the stiffness is improved significantly. The approach presented in this research benefits the design of cargo transportation equipment.
A quantitative evaluation method of aircraft wire performance based on infrared characteristic
Authors: Yu Xiangyang , Yao Linghong , Yu Shoumiao , Yu Chunfeng , Aiming He
Published: July 2019

As the “neural network” of airborne electrical system, the working state of aircraft conductor directly determines the reliability of the system platform. By the analysis of the performance degradation mechanism based on the thermal state model, it is concluded that local thermal stress is the common cause of apparent failure. The rated stable temperature rise of the wire is related to the working current value and the performance of insulating materials. The wiring mode is the actual influencing factor that determines the heat dissipation coefficient and surface area of the conductor. By analyzing the infrared characteristics of different wiring methods, a method is proposed to obtain the surface temperature spectrum to determine the thermal state. The relatively stable temperature rise and overflow rate are taken as the characteristic parameters, which can more accurately describe the sensitivity of wiring methods to thermal factors and realize qualitative analysis and quantitative evaluation. The feasibility of applying thermal imaging technology to the performance evaluation of aircraft electrical circuits is verified, and it can also provide reference for the active prevention and online diagnosis of line faults.
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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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.
Stixel-based Traffic Scene Representation Using U-disparity
Authors: Chen Lei , Huang Yingping , Hu Xing , Wei Hongjian , Liu Ming
Published: July 2019

The Stixel World is a valid approach of interpreting 3D traffic scenes. This paper presents a novel and simple method to establish the Stixel World by exploiting the properties of U-disparity. Unlike the conventional stixel extraction method, the proposed method does not model the ground plane, but construct a U-disparity map and accordingly remove ground-related points and background-related points in virtue of U-disparity properties. The resulting U-disparity map is re-projected back to the disparity map so that the base and top-points of foreground obstacles can be determined. Experiments show that the proposed method can effectively build a Stixel World for a variety of scenarios and is not constrained by topography and object classes.
Design of Tram Collision Prevention System Based on Infrared Ranging and Kalman Filtering
Authors: Kang Yang , Cui Zhao
Published: July 2019

Since the route of tram operation is set on a specific orbit, pedestrians or vehicles may enter the orbit during driving. In order to avoid such traffic accidents caused by collisions, a set of infrared ranging fusion is designed. Kalman filtering algorithm for tram anti-collision system. Considering that the obstacles in front may have moving speed, the real-time information obtained by infrared ranging is used as the data basis, the prediction model is established according to the current relative distance and relative speed, and the Kalman filtering algorithm is used to accurately predict the relative speed, and then the relative vehicle is used. Calculate the distance warning threshold from the information and relative speed to eliminate the calculation error and improve the accuracy of the relative real-time distance information. The theoretical test shows that the method can greatly improve the accuracy of detecting the real-time distance of the tram during driving.
Study on Gate Circuit Multivibrator Based on FPGA
Authors: Xie Yanhui , Zhou Huanyin , Wen Qilin , Hu Jiewei , Xu Feiyan
Published: July 2019

Gate circuit multivibrator is composed of logic gates and RC circuit. When the vibrator is designed based on FPGA, the pulse frequency measured using frequency meter in FPGA is much higher than theoretic analysis value. If this circuit is used as a pulse signal generator, mistakes will be made easily. In this paper, a gate circuit multivibrator based on FPGA is designed, and its vibrating frequency is measured using the FPGA itself. A frequency error is measured. The reason that causes this error is analyzed, and it is testified through simulation and real signal test. Pulse shaping through Schmitt trigger is an effective solution method. This study shows that clock pulse is very important to FPGA system.
A Review of Advanced Manufacturing Strategies and Development in Typical Industrialized Countries
Authors: Ma Yungao , Xia Liyu , Meng Weixuan
Published: July 2019

The report of the 19th National Congress of the Communist Party of China pointed out accelerating the construction of a manufacturing power, accelerating the development of advanced manufacturing, and promoting the deep integration of the Internet, big data, artificial intelligence and the real economy. This article focuses on the advanced manufacturing strategy of typical industrialized countries, and lays special stress on the analysis of industry 4.0 in Germany, the re-industrialization in the US, and the development and application of artificial intelligence in Japan. This article also puts forward relevant suggestion for promoting the transformation and upgrading of China’s manufacturing.
Blockchain-based Decentralized Storage Scheme
Authors: Zhu Yan , Lv Chunli , Zeng Zichuan , Wang Jingfu , Pei Bei
Published: July 2019

Different from the current cloud storage solutions, which are mostly centralized storage providers, this paper proposes a decentralized storage system based on blockchain technology, which can make full use of the remaining space of personal hard disks of users around the world. Storage provider performs a data integrity certificate to the user, and after verifying that the verification is passed, the user pays the storage fee to the storage provider through the lightning network technology. All proofs and payment information are stored in the blockchain, which guarantees the security and credibility of the system. Compared with the current mainstream distributed storage systems, this scheme has been improved in terms of system access and payment methods.
A Configurable High Speed Crossbar Network on FPGA
Authors: Guo Zhongfu , Zhang Xingming , Yanzhao Gao
Published: July 2019

The MPSoC platform plays a vital role in the design of parallel processor architectures. However, it poses a great challenge to design a configurable high-speed network regarding as the processors growing isomerization and reconfigurable. This paper proposes a configurable crossbar on-chip interconnection method based on FPGA, which can provide high speed high speed through Xilinx Fast Simplex Link (FSL) for processing elements include processors and hardware IP. We built a prototype system on FPGA to evaluate the transfer time and hardware costs of the crossbar network architectures. The experimental results show that each word can be reduced by 10 cycles, and the entire transmission delay only accounts for 6% of the total system operation time.
Manufacture and delivery scheduling for customers on one manufacturing machine with an availability constraint
Authors: Fan Jing
Published: July 2019

We consider a scheduling problem with the joint consideration of manufacture and delivery for m customers in different locations. In the manufacture period, there must be some interrupted job because of the arranged maintenance of the machine, and that job can be resumable when the machine becomes available again. In the delivery period, amounts of vehicles without limits of load capacity deliver completed jobs belonging to the same customer to customers in batches. The cost of each delivery is proportional to the distance between the customer and the manufacturer. Our goal is to minimize the sum of total departure time and total delivery cost. The problem is solved optimally by a dynamic programming algorithm with polynomial time O(m
2
n
4), where n is the number of all jobs.
Summary of research on distribution network reconfiguration
Authors: Wu Xiaomeng , Li Xinqiao , Li Chong , Dang Jian
Published: July 2019

Distribution network reconfiguration is an important means to optimize the operation of distribution network. The the reconfiguration of distribution network can change the opening and closing state of segmentation switch and tie switch in the distribution network without increasing investment. It can achieve the purpose of reducing network loss, balancing load to eliminate overload and light load, improving power supply reliability and improving power supply voltage quality. Therefore, it has important practical significance to accelerate the problem of distribution network reconfiguration. In this paper, the mathematical model of distribution network reconfiguration is given for the characteristics of distribution network, and various algorithms for distribution network reconfiguration are introduced. The advantages and disadvantages of various algorithms are analyzed, and the distribution network is more comprehensively reflected.
Research on Intelligent Energy-saving Algorithm of Oil Pumping Based on BP Neural Network
Authors: Liu Tianshi , Shi Mengdi
Published: July 2019

In order to enhance the international competitiveness of China’s oilfields, this paper reduces the phenomenon of high energy consumption in low-permeability oilfields, reduce electricity costs, increase oil production, and improve oilfield efficiency. In this paper, an intelligent energy-saving algorithm based on BP neural network is proposed for continuous oil recovery. This algorithm analyzes the main influencing factors of oil production and collects sample data from two aspects of oil production and electricity consumption cost. The BP neural network model with single hidden layer is constructed. The number of hidden layer neurons is determined. The output of oil and the unit speed of oil pumping are predicted, and combined with the time-sharing electricity price to adjust the times of oil pumping unit time to reduce the cost of electricity. The experimental results show that the proposed intelligent pumping energy-saving algorithm effectively improves the pumping efficiency, can save the electricity cost to a certain extent, realizes the intelligent control of pumping unit, and makes the oil field achieve high production and efficiency.
Research on Key Technologies of Integrated Teaching Platform for Automotive Engine ECU Control System
Authors: Zhang Xitong , Peng Tao , Mao Fuxin , Cheng Ming
Published: July 2019

In order to ensure that high-skilled personnel can better grasp the internal structure of ECU control system of automobile engine and improve the maintenance skills, this paper analyses the teaching platform from two aspects of hardware and software; the former including the introduction of basic characteristics and platform building, and introduce the functions and components of the integrated teaching platform for control system of automobile engine. Through the analysis, the maintenance personnel can have a better understanding of the fault diagnosis and elimination of the ECU of the automobile engine, and provide a good reference basis.
Design of Mobile Integrated Development Platform for Business System Based on B/S Architecture
Authors: Lu Hui , Gao Shangfei , Li Shaolong
Published: July 2019

With the popularity of intelligent devices, mobile application APP has become the most widely used application software at present. This paper analyzes the current situation of mobile development and data integration of business systems, and presents a platform design for mobile application development of business systems oriented to B/S architecture, which realizes independent and fast migration of mobile application functions of the original business systems under the specifications of user rights and business processes of the original business systems.
Multi-clutter Adaptive Suppression of Ball-borne Radar
Authors: Su Wentao , Liu Runhua , Wang Feng , Zhang Xiaohan
Published: July 2019

Compared with conventional radar, the ball-borne radar faces a special clutter environment. Because the irregular moving ground clutter of the platform is no longer fixed but has unknown spectral characteristics as the cloud rain clutter, it faces multiple unknown mixed clutter. It is not possible to filter ground clutter and then suppress motion clutter like a conventional radar. In this paper, the eigenvector method that can suppress multiple clutter at the same time is used to construct the filter, and the correlation function method is used to estimate the spectral characteristics of the clutter to achieve adaptive clutter suppression. Firstly, the calculation method of filter weight vector is discussed theoretically. Aimed at the problem that the performance of the method is deteriorating when suppressing multiple clutter with different spectral characteristics, the method is improved and its performance superiority is analyzed. The theory of multi-clutter estimation is deduced. For the problem of large spectral width deviation, the bandwidth coverage method is proposed to reduce the influence of error.
Joint target detection and tracking with heavy-tailed noises
Authors: Yu Benru , Gu Hong , Su Weimin
Published: July 2019

This paper investigates the problem of simultaneous target detection and tracking with heavy-tailed noises under Bernoulli filtering framework. By exploiting the Student-t distributions to formulate the outlier-corrupted process noise and measurement noise, a novel target tracking algorithm named the Student-t mixture Bernoulli filter is proposed. Under linear assumptions on target dynamic model, sensor measurement model and birth process, closed-form recursions that propagate the parameters of Bernoulli random finite set are derived. The validity of the proposed algorithm is verified by numerical simulations.
Artificial Neural Networks in the Prediction and Assessment for Water Quality: A Review
Authors: Chen Yingyi , Fang Xiaomin , Yang Ling , Liu Yeqi , Gong Chuanyang , Di Yuqi
Published: July 2019

Water is one of the main elements of the environment, which determines the existence of life on the earth such as humans, aquatic animals, and plants. In order to control the water quality environment more efficiently and intelligently, numerous water quality models have been developed for predicting and evaluating water quality accurately and intelligently. In order to control the water quality environment more effectively and intelligently, artificial neural network (ANN) and the hybrid models that contain it are applied to accurately and intelligently predict and evaluate water quality, improving the reliability and assessment capabilities of water quality prediction. Therefore, this paper is a literature review aimed at analysing and comparing the characteristics and applications of existing artificial neural network models. According to the direction of information transmission in the network, we divide them into feed-forward networks and recurrent networks. In addition, we compare the pros and cons of each model. Our analysis provides guidance for model improvement in future research. Moreover, these models can be applied to aquaculture in the future to promote their development.
Research on Flight Inspection Using Unmanned Aircraft
Authors: Liu Xinqiao , Zheng Shihui
Published: July 2019

Flight inspection is an important way to verify and evaluate the integrity and effectiveness of flight procedures, civil aviation communications, navigation and surveillance equipment. It is directly related to the safety of civil aviation. Traditional flight inspection is completed by adding special flight inspection equipment to high-performance aircraft. This paper mainly studies a new flight inspection method based on unmanned aerial vehicle (UAV). The feasibility, difficulties, advantages and risks of UAV flight inspection are discussed in this paper. This method may be implemented in the next five to ten years.
Study on Tunable Ring Erbium-doped Fiber Laser
Authors: Yan Bai , Hong Gao , Feng Dequan
Published: July 2019

Based on the characteristics of erbium-doped fiber (EDF), the wavelength tuning of ring-fiber laser can be realized. Moreover, the laser can work well and stably even when a simple structure of tuning device is adopted. As the pump power of 300 mA is adopted, the output power of the laser is 6.747 mW, and the laser wavelength can be tuned in the range of from 1546.326 nm to 1549.736 nm, as the temperature is elevated from 18.3 °C to 109.8 °C. The drift of center wavelength is linearly related with the temperature. The tuning wavelength have potential applications in the field of photoelectric devices.