bluuebunny/crossref_metadata_2025_split huggingface dataset:
Design of Air-cooled Temperature Control System Based on PWM Regulation Technology
Authors: Hu Jingying 
Published: March 2021

Abstract
In order to realize the automatic adjustment of fan with the change of equipment working temperature and reduce the power consumption and noise pollution of military display and control equipment. Firstly, according to the complex working environment of military display and control equipment and the dispersion of high temperature area, the distributed thermistor is used to collect the ambient temperature in real time to accurately grasp the environmental temperature of each point. Then MCU is used to collect and process the collected ambient temperature. According to the temperature change of each point, the fan speed is adjusted by PWM signal output from CPLD, so as to control the working temperature of display and control equipment, which can reduce noise and save unnecessary energy consumption. The air-cooled temperature control system based on PWM adjustment technology has the advantages of convenient and flexible layout of thermistor, rich interface, strong versatility and friendly man-machine interface. It can be widely used in vehicle, shipboard, airborne and other temperature control equipment.
Security Risk Analysis of Grid Edge Computing
Authors: Jiang Yixin , Zhang Yunan , Xu Aidong , Kuang Xiaoyun , Meng Jiaxiao , Chen Lin , Ma Boya 
Published: March 2021

Abstract
The emergence of edge computing technology brings new development direction to the construction of power grid industry. At present, for the edge computing technology of China is still in the exploratory stage, the combination of power grid and edge computing may face new security risks. This paper analysed the security risks that may occur in grid edge computing under the circumstances of identification system, communication technology, equipment protection and resource constraints, and put forward the relevant security risk analysis model and defence, aiming at solving the security problems of grid edge computing and promoting the better development of power grid.
Geodetic VLBI Experiments Using Two NTSC Stations
Authors: He Xuan , Shu Fengchun , Ma Langming 
Published: March 2021

Abstract
Asian Pacific Space Geodynamics (APSG) geodetic Very Long Baseline Interfero-metry (VLBI) observing sessions are being regularly performed to improve the accuracy of the geocentric coordinates of the participating stations in the Asia-Pacific region. Two small antennas, located at Jilin and Sanya, have been built and operated by the National Time Service Center (NTSC). They have a wide frequency coverage of 1.2-9.0 GHz and no standard geodetic recording mode available. We conducted mixed-mode observations with participation of those two NTSC stations in APSG40 and APSG46 experiments. The observational data have been correlated and analysed at Shanghai. For the first time we derived the coordinates of JILIN and SANYA at 1 cm level by means of geodetic VLBI technique. The difference of coordinates of JILIN station between two APSG experiments is about 2 cm if the comparison is made on the same epoch of observations. Here we present the experiment setup, data processing method and analysis results.
Automatic Classification of Coarse Aggregate Particle Size Based on Light Gradient Boost Machine
Authors: Pei Lili , Yu Ting , Ma Ruichi , Li Wei , Hao Xueli 
Published: March 2021

Abstract
Aggregate plays an important role in the performance of asphalt mixture. In order to complete the intelligent online monitoring of asphalt aggregate quality, an automatic classification algorithm for coarse aggregate particle size based on LightGBM classification algorithm is proposed. Firstly, OpenCV is used to extract the two-dimensional morphological features of coarse aggregates, and then the correlation between these features and the classification of aggregates is analyzed. Finally, the accurate classification of coarse aggregate particles is achieved through grid search and cross-validation optimization model. The results show that the average classification precision of coarse aggregate can reach 84.7%. Compared with the classification method based only on image processing technology, the precision is increased by about 20%, and the efficiency of classification is greatly improved.
A Position-coding Terminal Device for Ships Based on BeiDou Navigation Satellite System
Authors: Sui Xin , Zhou Weifeng 
Published: March 2021

Abstract
Considering massive amounts of location data will consume excessive memory and inefficient when performing a spatial query, a new ship position-encoding device was designed by combing the navigation, positioning and communication functions of the Beidou navigation satellite system and Geohash coding technology. An efficient index algorithm based on Geohash encoding was applied to improved efficiency, especially to solve the problem that massive ship position data occupies massive amounts of memory resources when searching for rescue ships near a wrecked ship, improve rescue efficiency, reduce energy consumption, realize high device utilization, one-key multi-use, and higher automation. Experimental results prove the ship position encoding method is better than the traditional device in terms of the spatial query of nearby ships and reducing the storage space consumption.
Design and Implementation of Video Tracking and Extraction
Authors: Shang Lina , Zhang Cui , Li Huanjie 
Published: March 2021

Abstract
The detection and recognition of moving objects has always been a hot topic in computer vision. With the development of computer vision, the demand of video intelligent tracking is higher and higher. This project realizes video tracking and extraction based on OpenCV. It can read and display a single target video signal, track the feature points of a single target in the video signal, identify and extract the single target according to the change of target action. Codebook background modeling and three-frame difference method are mainly used to identify the movement changes of moving targets. The system identification effect is good.
An Anomaly Pattern Detection Method Based on Spatial Density of Electric Power Sensor Data
Authors: Lu Weijiang , Lei Shuya , Liu Weiwei , Yu Bin 
Published: March 2021

Abstract
Electric power sensor data is a typical time-series data. Their anomalies are not only abnormal points, but also continuous data fragments named anomaly patterns. Based on the analysis of the abnormal patterns of electric power sensor data, we propose an abnormal pattern detection method to handle the anomaly of spatial density of power sensor data. The proposed method trying to discover abnormal density distribution in the super high-dimensional space. It takes the spatial distribution of the sensor data to build a density model. Moreover, density value of each sensor is computed by matching original sensor data with the density intervals in the model. Furthermore, anomalies are detected according to the density values. In order to verify effectiveness of the method, exclusive experiments are conducted on the real data of power plants. Experimental results show that the proposed method has high recall rate, low false alarm rate and high accuracy while low cost of time when detecting abnormal data patterns
The Design of E-C Parallel Corpus in Marine Environment and the Translation Difficulties of World Ocean Review
Authors: Yuan Fei 
Published: March 2021

Abstract
The construction of marine environment parallel corpus is based on the translation of The World Ocean Review. The text translation has been completed, and a term list has been built. The next step is to construct the parallel corpus, and the researchers should design the corpus in order to avoid some problems before starting. During the translation process, the researchers also find some problems and try to solve them which could supply some suggestion to the future E-C translation of scientific text.
Transductive Mutual Information Encoder Network for Few Shot Learning
Authors: Huang Wei , Ren Caijun 
Published: March 2021

Abstract
Deep learning has made breakthroughs in recent decades and has been widely used in many domains. However, most of those methods heavily rely on large labeled datasets, which results in poor performance when provided with limited labeled data. Few-shot learning (FSL), which aims at learning a novel task with limited samples, has attracted a lot of research recently. The previous metric-based methods ignore the internal bias between the training and testing datasets since the categories of the testing dataset are completely different from the training set. Transfer learning methods also suffer from few labeled data and tends to be overfitting in this situation. This paper proposes Transductive Mutual Information Encoder Network (TMIN) for few-shot learning problems. TMIN typically trains a convolutional neural network with a mutual information maximization module in an unsupervised manner. The trained network maps images to a high dimensional embedding space. Then the embeddings are exploited to measure the similarity between samples by a distance metric. Experiments indicate that the proposed model achieves competitive performance compared with the counterparts.
An Automatically Initialized Level Set Method for Ochotona Curzoniae Image Segmentation
Authors: Chen Haiyan , Zhang Huaqing 
Published: March 2021

Abstract
In order to effectively solve this problem that that the traditional level set method needs to mark the initial contour manually, a novel method that automatic initialization by utilizing deep learning is proposed in this paper. Firstly, a target detection network based on Faster-RCNN is used for target detection of ochotona curzoniae. Secondly, the detected target boxes are regarded as the initial contour of level set models, and ochotona curzoniae images are segmented by level set models, by which the problem of manually plotting the initial contour required by traditional level set models is solved. The experimental results of ochotona curzoniae image segmentation show that there is little difference between the level set segmentation method in which the initial contour of the target is automatically generated by deep learning(LSECA) is used to automatically target initial contour and the level set segmentation method where initial contour needs to be manually plotted. Therefore, the experimental results prove that it is feasible to automatically obtain the target initial contour through deep learning.
EXIT Analysis of Interleaver Division Multiple Access System with LDPC Code
Authors: Zhang Jingxi , Chen Zhixiong , Zhang Shu-e 
Published: March 2021

Abstract
Extrinsic Information Transfer(EXIT) characteristics are extensively used in iterative detection and decoding of turbo type processing. This paper makes an exploratory study of the issue of EXIT characteristic analysis for Low-Density Parity Check (LDPC) coded Interleaver Division Multiple Access (IDMA) system in Multiple Access Channel(MAC) condition. By using simulation method and extrinsic information calculation, the a priori information of the IDMA detector and the extrinsic information can be gained. In the same way, the a priori information and extrinsic information of the LDPC decoder in the system can be procured. The EXIT characteristic of the detector illustrates the convergence the detection algorithm of IDMA, while the EXIT characteristic of the LDPC decoder illustrates the convergence nature of the optimized degree profile,which shows the reasonability of LDPC coded IDMA system and the reliability of the optimized degree optimized algorithm for multiple access channel.
RETRACTED: A Corpus-based Linguistic Analysis of Translated Tourism Interpretive Panels under the Background of “Big Data”
Authors: Xiong Jing 
Published: March 2021

Abstract
This paper collects the interpretive panels from scenic spots in China and abroad and then establish two corpora (“CTETIPC” and “CETIPA” ). It analyzes and compares the linguistic features of translated and original English tourism interpretive panels from the aspects of STTR, MWL/MSL, nominalization, tense and voice. It is concluded that the translated English tourism interpretive panels are in some aspects non-standard. It is advised to take into consideration the different way of English expressions so as to better achieve the communicative effects.
Experimental Study of Shock Wave Spread Rule Monitoring with FBG Sensing for Lithologic Characteristics
Authors: Wei Shiming , Zhang Zesheng , Wang Yao 
Published: March 2021

Abstract
To obtain the influence mechanism of lithologic characteristics when rock bust shock waves transmit through rock, the waves in different rock were monitored with fiber Bragg grating (FBG). The result shows that the wave will change the period Λ and effective refractive index n of FBG, and further affect the initial wavelength value. The amplitude, phase and frequency of shock wave are directly related to the wavelength drifts of FBG. The transmitting velocity of shock wave in rock is affected by lithologic characteristics. The Elastic modulus, density and Poisson’s ratio of rock influence the initial wavelength value of FBG in the form of

I
=

2
E

ρ
(
1
+
υ
)

, and are Cosine related to wavelength drifts. The experiments of shock waves monitoring were carried out in sandstone, limestone and marble respectively. The result shows that the lithologic parameters of rock were Cosine related to the initial wavelength value of FBG. This study provided a theoretical basis and practical application guidance for coal or rock burst monitoring with FBG sensing.
Research on ZPW-2000R Track Circuit Fault Diagnosis Based on Neural Network
Authors: Lu Jiao , Yu Jianli , Huang Chunlei , Chen Honggen 
Published: March 2021

Abstract
In view of the situation that the fault monitoring is not timely and the accuracy of fault diagnosis is low due to only indoor monitoring equipment but not outdoor monitoring equipment, an intelligent diagnosis method based on neural network is proposed. Firstly, according to the different operating environment and influencing factors of the track circuit, the method of orthogonal test is designed to obtain the information of each component There are three kinds of track circuit monitoring variables with complex environmental factors, and then the track circuit fault types are divided into three categories: sending channel fault, receiving channel fault and track fault. On the basis of rapid location of track circuit fault location, 21 kinds of specific fault types are distinguished. The simulation results show that: when using this method for track circuit fault diagnosis, even without outdoor monitoring data, it can quickly locate the location of the fault, and the location accuracy can be up to 100%. When identifying 21 fault types, the accuracy of fault diagnosis can still be up to 90%, the diagnosis rate is high and the judgment is fast, which can assist the field maintenance personnel judge faults accurately and quickly.
Fast Linear Prediction Hyperspectral Image Visualization Algorithm
Authors: Xu Yunpeng , Peng Yuanxi , Long Jian 
Published: March 2021

Abstract
How to generate a color image with as much information as possible from hyperspectral images on a trichromatic display is a subject of great concern. In a sense, effective bands containing important information can be extracted from hyperspectral data for image visualization through the method of band selection. In this paper, two improved methods are proposed for the linear prediction (LP) band selection algorithm. According to the information entropy, the band with the greatest difference in information domain is selected as initial band.Then, the max pooling method is used to select the pixel which can better reflect the image features. Finally, the band similarity is used to select the most distinctive band for hyperspectral image visualization. The experimental results are measured by the metrics such as feature separability, standard deviation, operation efficiency and image displaying detail.The final experimental results show that fast linear prediction (LP) algorithm is an effective method for hyperspectral image visualization.
Design and Implementation of FBG Three-dimensional Stress Sensor for Complicated Stress Test in Rock Strata
Authors: Wei Shiming , Zhang Zesheng , Zhang Liqing 
Published: March 2021

Abstract
A fiber Bragg grating (FBG) sensor was presented and designed which was used to monitor the three-dimensional stress independently in rock strata. The sensing elements with FBGs in x, y, and z directions were combined in one intact material, and the stress/strain would be obtained without interference from other directions because each element could deform independently. By numerical modeling, the stress was applied respectively in different directions on the surface of the sensor, and the result revealed that the stress distributed in the direction applied was far more than other directions, which indicated that every element of the sensor was only sensitive to the stress in one direction. To get the relationship between applied stress and wavelength drifts of the FBG sensor, the calibration experiments were carried out, and the sensitivities in x, y, and z direction were obtained. It is of great significance for obtaining complicated stress state in rock strata and achieving intrinsically safe mining in coalmine.
A Trajectory Compression Method Based on Fréchet Distance
Authors: Jiang Fan , Zhou Yan , Qin Mengdou , Wang Xu 
Published: March 2021

Abstract
To better maintain the geometric similarity between the compressed trajectory and the original trajectory, this paper proposes a trajectory compression method based on Fréchet distance. This method selects the characteristic points of the trajectory based on the Fréchet distance, and keeps the similarity of the geometric shape characteristics of the compressed trajectory and the original trajectory. Compared with the traditional DP (Douglas-Peucker) algorithm and the TD-TR (Top-Down Time-Ratio) algorithm, the method in this paper can obtain better geometric similarity between the compressed trajectory and the original trajectory. At the same time, better visualization of trajectory data is obtained.
Research on Rapid 3D Modeling of Airport Navigation Facilities based on Oblique Photography Technology
Authors: Zhang Ziya , Pan Weijun , Zhou Junjie , Zhang Qiyang 
Published: March 2021

Abstract
With its short time-consuming, high-precision, and low-cost characteristics, Oblique photography technology has been widely used in surveying, remote sensing, and other fields. Due to the airport usually has airplanes in operation, it is difficult to obtain aerial images of airports, especially for antennas and other facilities that require relatively high modeling accuracy. This paper takes the airport Instrument Landing System(ILS) glideslope, a complex building with antennas, as an example, to carry out the research on the rapid modeling of a single camera with free-photo-control-point based on Oblique photography. First, to obtain a complete, high-resolution aerial image of the ILS glideslope, plan the path of the Unmanned Aerial Vehicle (UAV) photography, determine the flight height, flight radius, and other parameters; Secondly, improve the 3D airport model by adding orthophotos. Finally, by comparing the accuracy of the 3D modeling of the two sets of different parameters, obtain a strategy suitable for rapid modeling. The study shows that the proposed method can complete the high-precision 3D reconstruction of the airport’s complex navigation facilities in a short time.
Rapid Gradient Projection Algorithm for Remote Sensing Image Reconstruction
Authors: Yan Haixia , Liu Yanjun 
Published: March 2021

Abstract
Remote sensing reconstruction technology has become an important research topic due to the rapid development of aerospace,remote sensing,and communication technologies. In order to improve remote sensing reconstruction image quality, we design of a rapid Gradient Projection method. In the traditional Gradient Projection method, the searching direction changes each setp. Now we propose a rapid searching method by running with fix step. Experiment results show that the rapid Gradient Projection Algorithm get the better reconstruction image. The running results are shown by two remote sensing pictures. Further research is required in remote sensing edge intelligence technology to improve its depth and breadth of application.
Urban Community Public Space Micro-renewal Environmental Planning — Take Datang Xiang Community as an Example
Authors: Yu Yue , Lin Nan , Gong Kaixing 
Published: March 2021

Abstract
The urban community micro-renewal planning project represented by the first-line and new first-tier cities has begun to gradually sprung up. This paper analyzes the excellent practice of urban community renewal planning in Datangxiang of Hangzhou, summarizes the project implementation strategy and community public space planning techniques, in order to provide working ideas for urban community micro-renewal construction, in order to further improve the quality of community public space and household life satisfaction.
Study on the Balance of Tension between Ropes of Four-rope Freight Ropeway
Authors: Zhao Jiangtao , Su Zhaohui , Cheng Yongfeng , Wan Jiancheng , Qiao Liang 
Published: March 2021

Abstract
Based on the analysis of spatial position of the working-rope for four-rope freight ropeway, a mechanical model of the interaction between the working-rope and running car is proposed, which comprehensively reflects the characteristics of the working-rope system. Based on the calculation method of elastic catenary, the nonlinear equations for analysing the working system of four-rope freight ropeway are established. According to the typical design conditions of four-rope ropeway, the tension calculation of four carrying ropes is completed when the length of carrying rope changes. With the increase of the length deviation between the carrying ropes, the imbalance of the tension between the ropes is obvious. The tension of the carrying rope of the four-rope ropeway is very sensitive to the change of the rope length, and the coupling effect between ropes makes the breaking risk of carrying rope increase sharply. The results provide a reference for the safety factor analysis of the four-rope freight ropeway.
Research on Vehicle Preventive Maintenance Equipment
Authors: Huang He 
Published: March 2021

Abstract
“Fire-fighting” post-maintenance is the existing vehicle maintenance service mode. When the vehicle maintenance and other faults, from the demand report to the successful maintenance of service personnel needs a long time, and in the period of receiving the task, time is to grab the “lifeline”. Temporary stop-trade union causes great losses to the strategic deployment of troops, so preventive maintenance of vehicles is an important guarantee system for vehicle maintenance management. Its role is not limited to compensating the physical wear of machinery to avoid the occurrence of major faults, to ensure the normal operation of vehicles, reduce maintenance costs and improve the use of economy. At the same time, useful information can be fed back to production and maintenance units to improve the quality of products and maintenance. Therefore, the performance, quality and actual use economy of some preventive maintenance equipment are very important for mechanical equipment. This paper will study and design a kind of preventive maintenance equipment, which aims to solve the problem that most preventive maintenance equipment on the market cannot control the amount of oil when adding lubricating oil to automobile engine and other mechanical parts, and it is easy to scatter the lubricating oil and contaminate other areas.